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Saturday, July 21, 2018

Oxytocin

From Wikipedia, the free encyclopedia

Oxytocin
Oxytocin with labels.png
OxitocinaCPK3D.png
Pronunciation /ˌɒksɪˈtsɪn/
Physiological data
Source tissues pituitary gland
Target tissues wide spread
Receptors oxytocin receptor
Antagonists atosiban
Precursor oxytocin/neurophysin I prepropeptide
Metabolism liver and other oxytocinases
Pharmacokinetic data
Protein binding 30%
Metabolism liver and other oxytocinases
Elimination half-life 1–6 min (IV)
~2 h (intranasal)[1][2]
Excretion Biliary and kidney
Identifiers
CAS Number
PubChem CID
IUPHAR/BPS
DrugBank
ChemSpider
UNII
KEGG
ChEBI
ChEMBL
ECHA InfoCard 100.000.045 Edit this at Wikidata
Chemical and physical data
Formula C43H66N12O12S2
Molar mass 1007.19 g/mol
3D model (JSmol)
Oxytocin (Oxt; /ˌɒksɪˈtsɪn/) is a peptide hormone and neuropeptide. Oxytocin is normally produced by the paraventricular nucleus of the hypothalamus and released by the posterior pituitary. It plays a role in social bonding, sexual reproduction in both sexes, and during and after childbirth. Oxytocin is released into the bloodstream as a hormone in response to stretching of the cervix and uterus during labor and with stimulation of the nipples from breastfeeding. This helps with birth, bonding with the baby, and milk production. Oxytocin was discovered by Henry Dale in 1906. Its molecular structure was determined in 1952. Oxytocin is also used as a medication to facilitate childbirth.

Biochemistry

OXT

Identifiers
AliasesOXT, OT, OT-NPI, OXT-NPI, oxytocin/neurophysin I prepropeptide
External IDsOMIM: 167050 MGI: 97453 HomoloGene: 55494 GeneCards: OXT

Gene location (Human)
Chromosome 20 (human)
Chr.Chromosome 20 (human)[12]
Chromosome 20 (human)
Genomic location for OXT
Genomic location for OXT
Band20p13Start3,071,620 bp[12]
End3,072,517 bp[12]
Orthologs
SpeciesHumanMouse
Entrez


Ensembl


UniProt


RefSeq (mRNA)

NM_000915

NM_011025
RefSeq (protein)

NP_000906

NP_035155
Location (UCSC)Chr 20: 3.07 – 3.07 MbChr 2: 130.58 – 130.58 Mb
PubMed search[14][15]



Estrogen has been found to increase the secretion of oxytocin and to increase the expression of its receptor, the oxytocin receptor, in the brain.[16] In women, a single dose of estradiol has been found to be sufficient to increase circulating oxytocin concentrations.[17]

Biosynthesis

The oxytocin peptide is synthesized as an inactive precursor protein from the OXT gene.[18][19][20] This precursor protein also includes the oxytocin carrier protein neurophysin I.[21] The inactive precursor protein is progressively hydrolyzed into smaller fragments (one of which is neurophysin I) via a series of enzymes. The last hydrolysis that releases the active oxytocin nonapeptide is catalyzed by peptidylglycine alpha-amidating monooxygenase (PAM).[22]

The activity of the PAM enzyme system is dependent upon vitamin C (ascorbate), which is a necessary vitamin cofactor. By chance, sodium ascorbate by itself was found to stimulate the production of oxytocin from ovarian tissue over a range of concentrations in a dose-dependent manner.[23] Many of the same tissues (e.g. ovaries, testes, eyes, adrenals, placenta, thymus, pancreas) where PAM (and oxytocin by default) is found are also known to store higher concentrations of vitamin C.[24]

Oxytocin is known to be metabolized by the oxytocinase, leucyl/cystinyl aminopeptidase.[25][26] Other oxytocinases are also known to exist.[25][27] Amastatin, bestatin (ubenimex), leupeptin, and puromycin have been found to inhibit the enzymatic degradation of oxytocin, though they also inhibit the degradation of various other peptides, such as vasopressin, met-enkephalin, and dynorphin A.

Neural sources

In the hypothalamus, oxytocin is made in magnocellular neurosecretory cells of the supraoptic and paraventricular nuclei, and is stored in Herring bodies at the axon terminals in the posterior pituitary. It is then released into the blood from the posterior lobe (neurohypophysis) of the pituitary gland. These axons (likely, but dendrites have not been ruled out) have collaterals that innervate neurons in the nucleus accumbens, a brain structure where oxytocin receptors are expressed.[31] The endocrine effects of hormonal oxytocin and the cognitive or behavioral effects of oxytocin neuropeptides are thought to be coordinated through its common release through these collaterals.[31] Oxytocin is also produced by some neurons in the paraventricular nucleus that project to other parts of the brain and to the spinal cord.[32] Depending on the species, oxytocin receptor-expressing cells are located in other areas, including the amygdala and bed nucleus of the stria terminalis.

In the pituitary gland, oxytocin is packaged in large, dense-core vesicles, where it is bound to neurophysin I as shown in the inset of the figure; neurophysin is a large peptide fragment of the larger precursor protein molecule from which oxytocin is derived by enzymatic cleavage.

Secretion of oxytocin from the neurosecretory nerve endings is regulated by the electrical activity of the oxytocin cells in the hypothalamus. These cells generate action potentials that propagate down axons to the nerve endings in the pituitary; the endings contain large numbers of oxytocin-containing vesicles, which are released by exocytosis when the nerve terminals are depolarised.

Non-neural sources

Endogenous oxytocin concentrations in the brain have been found to be as much as 1000-fold higher than peripheral levels.[33]

Outside the brain, oxytocin-containing cells have been identified in several diverse tissues, including in females in the corpus luteum[34][35] and the placenta;[36] in males in the testicles' interstitial cells of Leydig;[37] and in both sexes in the retina,[38] the adrenal medulla,[39] the thymus[40] and the pancreas.[41] The finding of significant amounts of this classically "neurohypophysial" hormone outside the central nervous system raises many questions regarding its possible importance in these different tissues.

Male

The Leydig cells in some species have been shown to possess the biosynthetic machinery to manufacture testicular oxytocin de novo, to be specific, in rats (which can synthesize vitamin C endogenously), and in guinea pigs, which, like humans, require an exogenous source of vitamin C (ascorbate) in their diets.[42]

Female

Oxytocin is synthesized by corpora lutea of several species, including ruminants and primates. Along with estrogen, it is involved in inducing the endometrial synthesis of prostaglandin F to cause regression of the corpus luteum.[43]

Evolution

Virtually all vertebrates have an oxytocin-like nonapeptide hormone that supports reproductive functions and a vasopressin-like nonapeptide hormone involved in water regulation. The two genes are usually located close to each other (less than 15,000 bases apart) on the same chromosome, and are transcribed in opposite directions (however, in fugu,[44] the homologs are further apart and transcribed in the same direction).

The two genes are believed to result from a gene duplication event; the ancestral gene is estimated to be about 500 million years old and is found in cyclostomata (modern members of the Agnatha).[45]

Biological function

Oxytocin has peripheral (hormonal) actions, and also has actions in the brain. Its actions are mediated by specific, oxytocin receptors. The oxytocin receptor is a G-protein-coupled receptor that requires magnesium and cholesterol. It belongs to the rhodopsin-type (class I) group of G-protein-coupled receptors.[citation needed]

Studies have looked at oxytocin's role in various behaviors, including orgasm, social recognition, pair bonding, anxiety, and maternal behaviors.[46]

Physiological

The peripheral actions of oxytocin mainly reflect secretion from the pituitary gland. The behavioral effects of oxytocin are thought to reflect release from centrally projecting oxytocin neurons, different from those that project to the pituitary gland, or that are collaterals from them.[31] Oxytocin receptors are expressed by neurons in many parts of the brain and spinal cord, including the amygdala, ventromedial hypothalamus, septum, nucleus accumbens, and brainstem.[citation needed]
  • Milk ejection reflex/Letdown reflex: In lactating (breastfeeding) mothers, oxytocin acts at the mammary glands, causing milk to be 'let down' into subareolar sinuses, from where it can be excreted via the nipple.[47] Suckling by the infant at the nipple is relayed by spinal nerves to the hypothalamus. The stimulation causes neurons that make oxytocin to fire action potentials in intermittent bursts; these bursts result in the secretion of pulses of oxytocin from the neurosecretory nerve terminals of the pituitary gland.
  • Uterine contraction: Important for cervical dilation before birth, oxytocin causes contractions during the second and third stages of labor.[48] Oxytocin release during breastfeeding causes mild but often painful contractions during the first few weeks of lactation. This also serves to assist the uterus in clotting the placental attachment point postpartum. However, in knockout mice lacking the oxytocin receptor, reproductive behavior and parturition are normal.[49]
  • Due to its similarity to vasopressin, it can reduce the excretion of urine slightly. In several species, oxytocin can stimulate sodium excretion from the kidneys (natriuresis), and, in humans, high doses can result in low sodium levels (hyponatremia).
  • Cardiac effects: Oxytocin and oxytocin receptors are also found in the heart in some rodents, and the hormone may play a role in the embryonal development of the heart by promoting cardiomyocyte differentiation.[50][51] However, the absence of either oxytocin or its receptor in knockout mice has not been reported to produce cardiac insufficiencies.[49]
  • Modulation of hypothalamic-pituitary-adrenal axis activity: Oxytocin, under certain circumstances, indirectly inhibits release of adrenocorticotropic hormone and cortisol and, in those situations, may be considered an antagonist of vasopressin.[52]
  • Preparing fetal neurons for delivery: Crossing the placenta, maternal oxytocin reaches the fetal brain and induces a switch in the action of neurotransmitter GABA from excitatory to inhibitory on fetal cortical neurons. This silences the fetal brain for the period of delivery and reduces its vulnerability to hypoxic damage.[53]
  • Feeding: A 2012 paper suggested that oxytocin neurons in the para-ventricular hypothalamus in the brain may play a key role in suppressing appetite under normal conditions and that other hypothalamic neurons may trigger eating via inhibition of these oxytocin neurons. This population of oxytocin neurons are absent in Prader-Willi syndrome, a genetic disorder that leads to uncontrollable feeding and obesity, and may play a key role in its pathophysiology.[54]

Psychological

  • Autism: Oxytocin has been implicated in the etiology of autism, with one report suggesting autism is correlated with genomic deletion of the gene containing the oxytocin receptor gene (OXTR). Studies involving Caucasian and Finnish samples and Chinese Han families provide support for the relationship of OXTR with autism.[55][56] Autism may also be associated with an aberrant methylation of OXTR.[55]

Bonding

In the prairie vole, oxytocin released into the brain of the female during sexual activity is important for forming a pair bond with her sexual partner. Vasopressin appears to have a similar effect in males.[57] Oxytocin has a role in social behaviors in many species, so it likely also does in humans. In a 2003 study, both humans and dog oxytocin levels in the blood rose after five to 24 minutes of a petting session. This possibly plays a role in the emotional bonding between humans and dogs.[58]
  • Maternal behavior: Female rats given oxytocin antagonists after giving birth do not exhibit typical maternal behavior.[59] By contrast, virgin female sheep show maternal behavior toward foreign lambs upon cerebrospinal fluid infusion of oxytocin, which they would not do otherwise.[60] Oxytocin is involved in the initiation of maternal behavior, not its maintenance; for example, it is higher in mothers after they interact with unfamiliar children rather than their own.[61]
  • Ingroup bonding: Oxytocin can increase positive attitudes, such as bonding, toward individuals with similar characteristics, who then become classified as "in-group" members, whereas individuals who are dissimilar become classified as "out-group" members. Race can be used as an example of in-group and out-group tendencies because society often categorizes individuals into groups based on race (Caucasian, African American, Latino, etc.). One study that examined race and empathy found that participants receiving nasally administered oxytocin had stronger reactions to pictures of in-group members making pained faces than to pictures of out-group members with the same expression.[62] This shows that oxytocin may be implicated in our ability to empathize with individuals of different races and could potentially translate into willingness to help individuals in pain or stressful situations. Moreover, individuals of one race may be more inclined to help individuals of the same race than individuals of another race when they are experiencing pain. Oxytocin has also been implicated in lying when lying would prove beneficial to other in-group members. In a study where such a relationship was examined, it was found that when individuals were administered oxytocin, rates of dishonesty in the participants' responses increased for their in-group members when a beneficial outcome for their group was expected.[63] Both of these examples show the tendency to act in ways that benefit people with which one feels is part of their social group, or in-group. Oxytocin is not only correlated with the preferences of individuals to associate with members of their own group, but it is also evident during conflicts between members of different groups. During conflict, individuals receiving nasally administered oxytocin demonstrate more frequent defense-motivated responses toward in-group members than out-group members. Further, oxytocin was correlated with participant desire to protect vulnerable in-group members, despite that individual's attachment to the conflict.[64] Similarly, it has been demonstrated that when oxytocin is administered, individuals alter their subjective preferences in order to align with in-group ideals over out-group ideals.[65] These studies demonstrate that oxytocin is associated with intergroup dynamics. Further, oxytocin influences the responses of individuals in a particular group to those of another group. The in-group bias is evident in smaller groups; however, it can also be extended to groups as large as one's entire country leading toward a tendency of strong national zeal. A study done in the Netherlands showed that oxytocin increased the in-group favoritism of their nation while decreasing acceptance of members of other ethnicities and foreigners.[66] People also show more affection for their country's flag while remaining indifferent to other cultural objects when exposed to oxytocin.[67] It has thus been hypothesized that this hormone may be a factor in xenophobic tendencies secondary to this effect. Thus, oxytocin appears to affect individuals at an international level where the in-group becomes a specific "home" country and the out-group grows to include all other countries.

Drugs

  • Drug interaction: Impact on effects of alcohol and other drugs: According to several studies in animals, oxytocin inhibits the development of tolerance to various addictive drugs (opiates, cocaine, alcohol), and reduces withdrawal symptoms.[68] MDMA (ecstasy) may increase feelings of love, empathy, and connection to others by stimulating oxytocin activity primarily via activation of serotonin 5-HT1A receptors, if initial studies in animals apply to humans.[69] The anxiolytic Buspar (buspirone) may produce some of its effects via 5-HT1A receptor-induced oxytocin stimulation as well.[70][71]
  • Addiction vulnerability: Concentrations of endogenous oxytocin can impact the effects of various drugs and one's susceptibility to substance use disorders. Additionally, bilateral interactions with numerous systems, including the dopamine system, Hypothalamic–pituitary–adrenal axis and immune system, can impact development of dependence. The status of the endogenous oxytocin system might enhance or reduce susceptibility to addiction through its interaction with these systems. Individual differences in the endogenous oxytocin system based on genetic predisposition, gender and environmental influences, may therefore affect addiction vulnerability.[72] Oxytocin may be related to the place conditioning behaviors observed in habitual drug abusers.

Fear and anxiety

Oxytocin is typically remembered for the effect it has on prosocial behaviors, such as its role in facilitating trust and attachment between individuals. Consequently, oxytocin is often referred to as the “love hormone".[73][qualify evidence] However, oxytocin has a more complex role than solely enhancing prosocial behaviors. There is consensus that oxytocin modulates fear and anxiety; that is, it does not directly elicit fear or anxiety.[74] Two dominant theories explain the role of oxytocin in fear and anxiety. One theory states that oxytocin increases approach/avoidance to certain social stimuli and the second theory states that oxytocin increases the salience of certain social stimuli, causing the animal or human to pay closer attention to socially relevant stimuli.[75]

Nasally administered oxytocin has been reported to reduce fear, possibly by inhibiting the amygdala (which is thought to be responsible for fear responses).[76] Indeed, studies in rodents have shown oxytocin can efficiently inhibit fear responses by activating an inhibitory circuit within the amygdala.[77][78] Some researchers have argued oxytocin has a general enhancing effect on all social emotions, since intranasal administration of oxytocin also increases envy and Schadenfreude.[79] Individuals who receive an intranasal dose of oxytocin identify facial expressions of disgust faster than individuals who do not receive oxytocin.[75][qualify evidence] Facial expressions of disgust are evolutionarily linked to the idea of contagion. Thus, oxytocin increases the salience of cues that imply contamination, which leads to a faster response because these cues are especially relevant for survival. In another study, after administration of oxytocin, individuals displayed an enhanced ability to recognize expressions of fear compared to the individuals who received the placebo.[80] Oxytocin modulates fear responses by enhancing the maintenance of social memories. Rats that are genetically modified to have a surplus of oxytocin receptors display a greater fear response to a previously conditioned stressor. Oxytocin enhances the aversive social memory, leading the rat to display a greater fear response when the aversive stimulus is encountered again.[74]

Mood and depression

Oxytocin produces antidepressant-like effects in animal models of depression,[81] and a deficit of it may be involved in the pathophysiology of depression in humans.[82] The antidepressant-like effects of oxytocin are not blocked by a selective antagonist of the oxytocin receptor, suggesting that these effects are not mediated by the oxytocin receptor.[17] In accordance, unlike oxytocin, the selective non-peptide oxytocin receptor agonist WAY-267,464 does not produce antidepressant-like effects, at least in the tail suspension test.[83] In contrast to WAY-267,464, carbetocin, a close analogue of oxytocin and peptide oxytocin receptor agonist, notably does produce antidepressant-like effects in animals.[83] As such, the antidepressant-like effects of oxytocin may be mediated by modulation of a different target, perhaps the vasopressin V1A receptor where oxytocin is known to weakly bind as an agonist.[84][85]

Sildenafil has been found to enhance electrically evoked oxytocin release from the pituitary gland. In accordance, the drug shows oxytocin-dependent antidepressant-like effects in animals, and it has proposed that sildenafil may hold promise as a potential antidepressant in humans.[81]

Sex differences

It has been shown that oxytocin differentially affects males and females. Females who are administered oxytocin are overall faster in responding to socially relevant stimuli than males who received oxytocin.[75][86] Additionally, after the administration of oxytocin, females show increased amygdala activity in response to threatening scenes; however, males do not show increased amygdala activation. This phenomenon can be explained by looking at the role of gonadal hormones, specifically estrogen, which modulate the enhanced threat processing seen in females. Estrogen has been shown to stimulate the release of oxytocin from the hypothalamus and promote receptor binding in the amygdala.[86]

It has also been shown that testosterone directly suppresses oxytocin in mice.[87] This has been hypothesized to have evolutionary significance. With oxytocin suppressed, activities such as hunting and attacking invaders would be less mentally difficult as oxytocin is strongly associated with empathy.[88]

Social

  • Affecting generosity by increasing empathy during perspective taking: In a neuroeconomics experiment, intranasal oxytocin increased generosity in the Ultimatum Game by 80%, but had no effect in the Dictator Game that measures altruism. Perspective-taking is not required in the Dictator Game, but the researchers in this experiment explicitly induced perspective-taking in the Ultimatum Game by not identifying to participants into which role they would be placed.[89] Serious methodological questions have arisen, however, with regard to the role of oxytocin in trust and generosity.[90] Empathy in healthy males has been shown to be increased after intranasal oxytocin[88][91] This is most likely due to the effect of oxytocin in enhancing eye gaze.[92] There is some discussion about which aspect of empathy oxytocin might alter – for example, cognitive vs. emotional empathy.[93] While studying wild chimpanzees, it was noted that after a chimpanzee shared food with a non-kin related chimpanzee, the subjects' levels of oxytocin increased, as measured through their urine. In comparison to other cooperative activities between chimpanzees that were monitored including grooming, food sharing generated higher levels of oxytocin. This comparatively higher level of oxytocin after food sharing parallels the increased level of oxytocin in nursing mothers, sharing nutrients with their kin.[94]
  • Trust is increased by oxytocin.[95][96][97] Disclosure of emotional events is a sign of trust in humans. When recounting a negative event, humans who receive intranasal oxytocin share more emotional details and stories with more emotional significance.[96] Humans also find faces more trustworthy after receiving intranasal oxytocin. In a study, participants who received intranasal oxytocin viewed photographs of human faces with neutral expressions and found them to be more trustworthy than those who did not receive oxytocin.[95] This may be because oxytocin reduces the fear of social betrayal in humans.[98] Even after experiencing social alienation by being excluded from a conversation, humans who received oxytocin scored higher in trust on the Revised NEO Personality Inventory.[97] Moreover, in a risky investment game, experimental subjects given nasally administered oxytocin displayed "the highest level of trust" twice as often as the control group. Subjects who were told they were interacting with a computer showed no such reaction, leading to the conclusion that oxytocin was not merely affecting risk aversion.[99] When there is a reason to be distrustful, such as experiencing betrayal, differing reactions are associated with oxytocin receptor gene (OXTR) differences. Those with the CT haplotype experience a stronger reaction, in the form of anger, to betrayal.[100]
  • Romantic attachment: In some studies, high levels of plasma oxytocin have been correlated with romantic attachment. For example, if a couple is separated for a long period of time, anxiety can increase due to the lack of physical affection. Oxytocin may aid romantically attached couples by decreasing their feelings of anxiety when they are separated.[101]
  • Group-serving dishonesty/deception: In a carefully controlled study exploring the biological roots of immoral behavior, oxytocin was shown to promote dishonesty when the outcome favored the group to which an individual belonged instead of just the individual.[102]
  • Sexual activity: The relationship between oxytocin and human sexual response is unclear. At least two uncontrolled studies have found increases in plasma oxytocin at orgasm – in both men and women.[103][104] Plasma oxytocin levels are notably increased around the time of self-stimulated orgasm and are still higher than baseline when measured five minutes after self arousal.[103] The authors of one of these studies speculated that oxytocin's effects on muscle contractibility may facilitate sperm and egg transport.[103]
In a study measuring oxytocin serum levels in women before and after sexual stimulation, the author suggests it serves an important role in sexual arousal. This study found genital tract stimulation resulted in increased oxytocin immediately after orgasm.[105] Another study reported increases of oxytocin during sexual arousal could be in response to nipple/areola, genital, and/or genital tract stimulation as confirmed in other mammals.[106] Murphy et al. (1987), studying men, found oxytocin levels were raised throughout sexual arousal with no acute increase at orgasm.[107] A more recent study of men found an increase in plasma oxytocin immediately after orgasm, but only in a portion of their sample that did not reach statistical significance. The authors noted these changes "may simply reflect contractile properties on reproductive tissue".[108]
  • Oxytocin affects social distance between adult males and females, and may be responsible at least in part for romantic attraction and subsequent monogamous pair bonding. An oxytocin nasal spray caused men in a monogamous relationship, but not single men, to increase the distance between themselves and an attractive woman during a first encounter by 10 to 15 centimeters. The researchers suggested that oxytocin may help promote fidelity within monogamous relationships.[109] For this reason, it is sometimes referred to as the "bonding hormone". There is some evidence that oxytocin promotes ethnocentric behavior, incorporating the trust and empathy of in-groups with their suspicion and rejection of outsiders.[66] Furthermore, genetic differences in the oxytocin receptor gene (OXTR) have been associated with maladaptive social traits such as aggressive behavior.[110]
  • Social behavior[66][111] and wound healing: Oxytocin is also thought to modulate inflammation by decreasing certain cytokines. Thus, the increased release in oxytocin following positive social interactions has the potential to improve wound healing. A study by Marazziti and colleagues used heterosexual couples to investigate this possibility. They found increases in plasma oxytocin following a social interaction were correlated with faster wound healing. They hypothesized this was due to oxytocin reducing inflammation, thus allowing the wound to heal more quickly. This study provides preliminary evidence that positive social interactions may directly influence aspects of health.[112] According to a study published in 2014, silencing of oxytocin receptor interneurons in the medial prefrontal cortex (mPFC) of female mice resulted in loss of social interest in male mice during the sexually receptive phase of the estrous cycle.[113] Oxytocin evokes feelings of contentment, reductions in anxiety, and feelings of calmness and security when in the company of the mate.[101] This suggests oxytocin may be important for the inhibition of the brain regions associated with behavioral control, fear, and anxiety, thus allowing orgasm to occur. Research has also demonstrated that oxytocin can decrease anxiety and protect against stress, particularly in combination with social support.[114] It is found, that endocannabinoid signaling mediates oxytocin-driven social reward.[115]

Chemistry

Oxytocin (ball-and-stick) bound to its carrier protein neurophysin (ribbons)

Oxytocin is a peptide of nine amino acids (a nonapeptide) in the sequence cysteine-tyrosine-isoleucine-glutamine-asparagine-cysteine-proline-leucine-glycine-amide (Cys – Tyr – Ile – Gln – Asn – Cys – Pro – Leu – Gly – NH2, or CYIQNCPLG-NH2); its C-terminus has been converted to a primary amide and a disulfide bridge joins the cysteine moieties.[116] Oxytocin has a molecular mass of 1007 Da, and one international unit (IU) of oxytocin is the equivalent of about 2 μg of pure peptide.

While the structure of oxytocin is highly conserved in placental mammals, a novel structure of oxytocin was recently reported in marmosets, tamarins, and other new world primates. Genomic sequencing of the gene for oxytocin revealed a single in-frame mutation (thymine for cytosine) which results in a single amino acid substitution at the 8-position (proline for leucine).[117] Since this original Lee et al. paper, two other laboratories have confirmed Pro8-OT and documented additional oxytocin structural variants in this primate taxon. Vargas-Pinilla et al. sequenced the coding regions of the OXT gene in other genera in new world primates and identified the following variants in addition to Leu8- and Pro8-OT: Ala8-OT, Thr8-OT, and Val3/Pro8-OT.[118] Ren et al. identified a variant further, Phe2-OT in howler monkeys.[119]

The biologically active form of oxytocin, commonly measured by RIA and/or HPLC techniques, is also known as the octapeptide "oxytocin disulfide" (oxidized form), but oxytocin also exists as a reduced straight-chain (non-cyclic) dithiol nonapeptide called oxytoceine.[120] It has been theorized that oxytoceine may act as a free radical scavenger, as donating an electron to a free radical allows oxytoceine to be re-oxidized to oxytocin via the dehydroascorbate / ascorbate redox couple.[121]

The structure of oxytocin is very similar to that of vasopressin. Both are nonapeptides with a single disulfide bridge, differing only by two substitutions in the amino acid sequence (differences from oxytocin bolded for clarity): Cys – Tyr – Phe – Gln – Asn – Cys – Pro – Arg – Gly – NH2.[116] A table showing the sequences of members of the vasopressin/oxytocin superfamily and the species expressing them is present in the vasopressin article. Oxytocin and vasopressin were isolated and their total synthesis reported in 1954,[122] work for which Vincent du Vigneaud was awarded the 1955 Nobel Prize in Chemistry with the citation: "for his work on biochemically important sulphur compounds, especially for the first synthesis of a polypeptide hormone."[123]

Oxytocin and vasopressin are the only known hormones released by the human posterior pituitary gland to act at a distance. However, oxytocin neurons make other peptides, including corticotropin-releasing hormone and dynorphin, for example, that act locally. The magnocellular neurosecretory cells that make oxytocin are adjacent to magnocellular neurosecretory cells that make vasopressin. These are large neuroendocrine neurons which are excitable and can generate action potentials.[124]

History

The word oxytocin was coined from the term oxytocic. Greek ὀξύς, oxys, and τοκετός , toketos, meaning "quick birth")

Its uterine-contracting properties were discovered by British pharmacologist Sir Henry Hallett Dale in 1906.[125][46] And its milk ejection property was described by Ott and Scott in 1910 and by Schafer and Mackenzie in 1911.

Oxytocin became the first polypeptide hormone to be sequenced[128] or synthesized. Du Vigneaud was awarded the Nobel Prize in 1955 for his work.

The Intelligent Universe

December 12, 2002 by Ray Kurzweil
Original link:  http://www.kurzweilai.net/the-intelligent-universe
Orginally published on Edge Nov. 7, 2002. Published on KurzweilAI.net on Dec. 12, 2002.
On July 21, 2002, Edge brought together leading thinkers to speak about their "universe." Other participants:

The Computational Universe by Seth Lloyd
The Emotion Universe by Marvin Minsky
The Inflationary Universe by Alan Harvey Guth
The Cyclic Universe by Paul Steinhardt

Within 25 years, we’ll reverse-engineer the brain and go on to develop superintelligence. Extrapolating the exponential growth of computational capacity (a factor of at least 1000 per decade), we’ll expand inward to the fine forces, such as strings and quarks, and outward. Assuming we could overcome the speed of light limitation, within 300 years we would saturate the whole universe with our intelligence.

The universe has been set up in an exquisitely specific way so that evolution could produce the people that are sitting here today [at Edge's REBOOTING CIVILIZATION II meeting on July 21, 2002] and we could use our intelligence to talk about the universe. We see a formidable power in the ability to use our minds and the tools we’ve created to gather evidence, to use our inferential abilities to develop theories, to test the theories, and to understand the universe at increasingly precise levels. That’s one role of intelligence. The theories that we heard on cosmology look at the evidence that exists in the world today to make inferences about what existed in the past so that we can develop models of how we got here.

Then, of course, we can run those models and project what might happen in the future. Even if it’s a little more difficult to test the future theories, we can at least deduce, or induce, that certain phenomena that we see today are evidence of times past, such as radiation from billions of years ago. We can’t really test what will happen billions or trillions of years from now quite as directly, but this line of inquiry is legitimate, in terms of understanding the past and the derivation of the universe. As we heard today, the question of the origin of the universe is certainly not resolved. There are competing theories, and at several times we’ve had theories that have broken down, once we acquired more precise evidence.

At the same time, however, we don’t hear discussion about the role of intelligence in the future. According to common wisdom, intelligence is irrelevant to cosmological thinking. It is just a bit of froth dancing in and out of the crevices of the universe, and has no effect on our ultimate cosmological destiny. That’s not my view. The universe has been set up exquisitely enough to have intelligence. There are intelligent entities like ourselves that can contemplate the universe and develop models about it, which is interesting. Intelligence is, in fact, a powerful force and we can see that its power is going to grow not linearly but exponentially, and will ultimately be powerful enough to change the destiny of the universe.

I want to propose a case that intelligence—specifically human intelligence, but not necessarily biological human intelligence—will trump cosmology, or at least trump the dumb forces of cosmology. The forces that we heard discussed earlier don’t have the qualities that we posit in intelligent decision-making. In the grand celestial machinery, forces deplete themselves at a certain point and other forces take over. Essentially you have a universe that’s dominated by what I call dumb matter, because it’s controlled by fairly simple mechanical processes.

Human civilization possesses a different type of force with a certain scope and a certain power. It’s changing the shape and destiny of our planet. Consider, for example, asteroids and meteors. Small ones hit us on a fairly regular basis, but the big ones hit us every some tens of millions of years and have apparently had a big impact on the course of biological evolution. That’s not going to happen again. If it happened next year we’re not quite ready to deal with it, but it doesn’t look like it’s going to happen next year. When it does happen again our technology will be quite sufficient. We’ll see it coming, and we will deal with it. We’ll use our engineering to send up a probe and blast it out of the sky. You can score one for intelligence in terms of trumping the natural unintelligent forces of the universe.

Commanding our local area of the sky is, of course, very small on a cosmological scale, but intelligence can overrule these physical forces, not by literally repealing the natural laws, but by manipulating them in such a supremely sublime and subtle way that it effectively overrules these laws. This is particularly the case when you get machinery that can operate at nano and ultimately femto and pico scales. Whereas the laws of physics still apply, they’re being manipulated now to create any outcome the intelligence of this civilization decides on.

How intelligence developed

Let me back up and talk about how intelligence came about. Wolfram’s book has prompted a lot of talk recently on the computational substrate of the universe and on the universe as a computational entity. Earlier today, Seth Lloyd talked about the universe as a computer and its capacity for computation and memory. What Wolfram leaves out in talking about cellular automata is how you get intelligent entities. As you run these cellular automata, they create interesting pictures, but the interesting thing about cellular automata, which was shown long before Wolfram pointed it out, is that you can get apparently random behavior from deterministic processes.

It’s more than apparent that you literally can’t predict an outcome unless you can simulate the process. If the process under consideration is the whole universe, then presumably you can’t simulate it unless you step outside the universe. But when Wolfram says that this explains the complexity we see in nature, it’s leaving out one important step. As you run the cellular automata, you don’t see the growth in complexity—at least, certainly he’s never run them long enough to see any growth in what I would call complexity. You need evolution.

Marvin talked about some of the early stages of evolution. It starts out very slow, but then something with some power to sustain itself and to overcome other forces is created and has the power to self-replicate and preserve that structure. Evolution works by indirection. It creates a capability and then uses that capability to create the next. It took billions of years until this chaotic swirl of mass and energy created the information-processing, structural backbone of DNA, and then used that DNA to create the next stage.

With DNA, evolution had an information-processing machine to record its experiments and conduct experiments in a more orderly way. So the next stage, such as the Cambrian explosion, went a lot faster, taking only a few tens of millions of years. The Cambrian explosion then established body plans that became a mature technology, meaning that we didn’t need to evolve body plans any more.

These designs worked well enough, so evolution could then concentrate on higher cortical function, establishing another level of mechanism in the organisms that could do information processing. At this point, animals developed brains and nervous systems that could process information, and then that evolved and continued to accelerate. Homo sapiens evolved in only hundreds of thousands of years, and then the cutting edge of evolution again worked by indirection to use this product of evolution, the first technology creating species to survive, to create the next stage: technology, a continuation of biological evolution by other means.

The Law of Accelerating Returns

The first stages of technologies, like stone tools, fire, and the wheel took tens of thousands of years, but then we had more powerful tools to create the next stage. A thousand years ago, a paradigm shift like the printing press took only a century or so to be adopted, and this evolution has accelerated ever since. Fifty years ago, the first computers were designed with pencil on paper, with screwdrivers and wire. Today we have computers to design computers. Computer designers will design some high-level parameters, and twelve levels of intermediate design are computed automatically. The process of designing a computer now goes much more quickly.

Evolutionary processes accelerate, and the returns from an evolutionary process grow in power. I’ve called this theory "The Law of Accelerating Returns." The returns, including economic returns, accelerate. Stemming from my interest in being an inventor, I’ve been developing mathematical models of this because I quickly realized that an invention has to make sense when the technology is finished, not when it was started, since the world is generally a different place three or four years later.

One exponential pattern that people are familiar with is Moore’s Law, which is really just one specific paradigm of shrinking transistors on integrated circuits. It’s remarkable how long it’s lasted, but it wasn’t the first, but the fifth paradigm to provide exponential growth to computing. Earlier, we had electro-mechanical calculators, using relays and vacuum tubes. Engineers were shrinking the vacuum tubes, making them smaller and smaller, until finally that paradigm ran out of steam because they couldn’t keep the vacuum any more. Transistors were already in use in radios and other small, niche applications, but when the mainstream technology of computing finally ran out of steam, it switched to this other technology that was already waiting in the wings to provide ongoing exponential growth. It was a paradigm shift. Later, there was a shift to integrated circuits, and at some point, integrated circuits will run out of steam.

Ten or 15 years from now we’ll go to the third dimension. Of course, research on three-dimensional computing is well under way, because as the end of one paradigm becomes clear, this perception increases the pressure for the research to create the next. We’ve seen tremendous acceleration of molecular computing in the last several years.

When my book, The Age of Spiritual Machines, came out about four years ago, the idea that three-dimensional molecular computing could be feasible was quite controversial, and a lot of computer scientists didn’t believe it was. Today, there is a universal belief that it’s feasible, and that it will arrive in plenty of time before Moore’s Law runs out. We live in a three-dimensional world, so we might as well use the third dimension. That will be the sixth paradigm.

Moore’s Law is one paradigm among many that have provided exponential growth in computation, but computation is not the only technology that has grown exponentially. We see something similar in any technology, particularly in ones that have any relationship to information.

The genome project, for example, was not a mainstream project when it was announced. People thought it was ludicrous that you could scan the genome in 15 years, because at the rate at which you could scan it when the project began, it could take thousands of years. But the scanning has doubled in speed every year, and actually most of the work was done in the last year of the project.

Magnetic data storage is not covered under Moore’s Law, since it involves packing information on a magnetic substrate, which is a completely different set of applied physics, but magnetic data storage has very regularly doubled every year. In fact there’s a second level of acceleration. It took us three years to double the price-performance of computing at the beginning of the century, and two years in the middle of the century, but we’re now doubling it in less than one year.

This is another feedback loop that has to do with past technologies, because as we improve the price performance, we put more resources into that technology. If you plot computers, as I’ve done, on a logarithmic scale, where a straight line would mean exponential growth, you see another exponential. There’s actually a double rate of exponential growth.

Another very important phenomenon is the rate of paradigm shift. This is harder to measure, but even though people can argue about some of the details and assumptions in these charts you still get these same very powerful trends. The paradigm shift rate itself is accelerating, and roughly doubling every decade. When people claim that we won’t see a particular development for a hundred years, or that something is going to take centuries to do accomplish, they’re ignoring the inherent acceleration of technical progress.

Bill Joy and I were at Harvard some months ago and one Nobel Prize-winning biologist said that we won’t see self-replicating nanotechnology entities for a hundred years. That’s actually a good intuition, because that’s my estimation—at today’s rate of progress—of how long it will take to achieve that technical milestone. However, since we’re doubling the rate of progress every decade, it’ll only take 25 calendar years to get there—this, by the way, is a mainstream opinion in the nanotechnology field.

The last century is not a good guide to the next, in the sense that it made only about 20 years of progress at today’s rate of progress, because we were speeding up to this point. At today’s rate of progress, we’ll make the same amount of progress as what occurred in the 20th century in 14 years, and then again in 7 years. The 21st century will see, because of the explosive power of exponential growth, something like 20,000 years of progress at today’s rate of progress—a thousand times greater than the 20th century, which was no slouch for radical change.

I’ve been developing these models for a few decades, and made a lot of predictions about intelligent machines in the 1980s that people can check out. They weren’t perfect, but were a pretty good road map. I’ve been refining these models. I don’t pretend that anybody can see the future perfectly, but the power of the exponential aspect of the evolution of these technologies, or of evolution itself, is undeniable. And that creates a very different perspective about the future.

Let’s take computation. Communication is important and shrinkage is important. Right now, we’re shrinking technology, apparently both mechanical and electronic, at a rate of 5.6 per linear dimension per decade. That number is also moving slowly, in a double exponential sense, but we’ll get to nanotechnology at that rate in the 2020s. There are some early-adopter examples of nanotechnology today, but the real mainstream, where the cutting edge of the operating principles are in the multi-nanometer range, will be in the 2020s. If you put these together you get some interesting observations.

Right now we have 1026 calculations per second in human civilization in our biological brains. We could argue about this figure, but it’s basically, for all practical purposes, fixed. I don’t know how much intelligence it adds if you include animals, but maybe you then get a little bit higher than 1026. Non-biological computation is growing at a double exponential rate, and right now is millions of times less than the biological computation in human beings. Biological intelligence is fixed, because it’s an old, mature paradigm, but the new paradigm of non-biological computation and intelligence is growing exponentially. The crossover will be in the 2020s and after that, at least from a hardware perspective, non-biological computation will dominate at least quantitatively.

This brings up the question of software. Lots of people say that even though things are growing exponentially in terms of hardware, we’ve made no progress in software. But we are making progress in software, even if the doubling factor is much slower.

Reverse-engineering the brain

The real scenario that I want to address is the reverse-engineering of the human brain. Our knowledge of the human brain and the tools we have to observe and understand it are themselves growing exponentially. Brain scanning and mathematical models of neurons and neural structures are growing exponentially, and there’s very interesting work going on.

There is Lloyd Watts, for example, who with his colleagues has collected models of specific types of neurons and wiring information about how the internal connections are wired in different regions of the brain. He has put together a detailed model of about 15 regions that deal with auditory processing, and has applied psychoacoustic tests of the model, comparing it to human auditory perception.

The model is at least reasonably accurate, and this technology is now being used as a front end for speech recognition software. Still, we’re at the very early stages of understanding the human cognitive system. It’s comparable to the genome project in its early stages in that we also knew very little about the genome in its early stages. We now have most of the data, but we still don’t have the reverse engineering to understand how it works.

It would be a mistake to say that the brain only has a few simple ideas and that once we can understand them we can build a very simple machine. But although there is a lot of complexity to the brain, it’s also not vast complexity. It is described by a genome that doesn’t have that much information in it. There are about 800 million bytes in the uncompressed genome. We need to consider redundancies in the DNA, as some sequences are repeated hundreds of thousands of times. By applying routine data compression, you can compress this information at a ratio of about 30 to 1, giving you about 23 million bytes—which is smaller than Microsoft Word—to describe the initial conditions of the brain.

But the brain has a lot more information than that. You can argue about the exact number, but I come up with thousands of trillions of bytes of information to characterize what’s in a brain, which is millions of times greater than what is in the genome. How can that be?

Marvin talked about how the methods from computer science are important for understanding how the brain works. We know from computer science that we can very easily create programs of considerable complexity from a small starting condition. You can, with a very small program, create a genetic algorithm that simulates some simple evolutionary process and create something of far greater complexity than itself. You can use a random function within the program, which ultimately creates not just randomness, but is creating some meaningful information after the initial random conditions are evolved using a self organizing method, resulting in information that’s far greater than the initial conditions.

That is in large measure how the genome creates the brain. We know that it specifies certain constraints for how a particular region is wired, but within those constraints and methods, there’s a great deal of stochastic or random wiring, followed by some kind of process whereby the brain learns and self-organizes to make sense of its environment. At this point, what began as random becomes meaningful, and the program has multiplied the size of its information.

The point of all of this is that, since it’s a level of complexity we can manage, we will be able to reverse-engineer the human brain. We’ve shown that we can model neurons, clusters of neurons, and even whole brain regions. We are well down that path. It’s rather conservative to say that within 25 years we’ll have all of the necessary scanning information and neuron models and will be able to put together a model of the principles of operation of how the human brain works. Then, of course, we’ll have an entity that has some human like qualities. We’ll have to educate and train it, but of course we can speed up that process, since we’ll have access to everything that’s out in the Web, which will contain all accessible human knowledge.

One of the nice things about computer technology is that once you master a process it can operate much faster. So we will learn the secrets of human intelligence, partly from reverse-engineering of the human brain. This will be one source of knowledge for creating the software of intelligence.

We can then combine some advantages of human intelligence with advantages that we see clearly in non-biological intelligence. We spent years training our speech recognition system, which gives us a combination of rules. It mixes expert-system approaches with some self-organizing techniques like neural nets, Markov models and other self-organizing algorithms. We automate the training process by recording thousands of hours of speech and annotating it, and it automatically readjusts all its Markov-model levels and other parameters when it makes mistakes. Finally, after years of this process, it does a pretty good job of recognizing speech. Now, if you want your computer to do the same thing, you don’t have to go through those years of training like we do with every child, you can actually load the evolved pattern of this one research computer, which is called loading the software.

Machines can share their knowledge. Machines can do things quickly. Machines have a type of memory that’s more accurate than our frail human memories. Nobody at this table can remember billions of things perfectly accurately and look them up quickly. The combination of the software of biological human intelligence with the benefits of non-biological intelligence will be very formidable. Ultimately, this growing non-biological intelligence will have the benefits of human levels of intelligence in terms of its software and our exponentially growing knowledge base.

Superintelligence saturates the universe

In the future, maybe only one part of intelligence in a trillion will be biological, but it will be infused with human levels of intelligence, which will be able to amplify itself because of the powers of non-biological intelligence to share its knowledge. How does it grow? Does it grow in or does it grow out? Growing in means using finer and finer granularities of matter and energy to do computation, while growing out means using more of the stuff in the universe.

Presently, we see some of both. We see mostly the "in," since Moore’s Law inherently means that we’re shrinking the size of transistors and integrated circuits, making them finer and finer. To some extent we’re also expanding out in that even though the chips are more and more powerful, we make more chips every year, and deploy more economic and material resources towards this non biological intelligence.

Ultimately, we’ll get to nanotechnology-based computation, which is at the molecular level, infused with the software of human intelligence and the expanding knowledge base of human civilization. It’ll continue to expand both inwards and outwards. It goes in waves as the expansion inwards reaches certain points of resistance. The paradigm shifts will be pretty smooth as we go from the second to the third dimension via molecular computing. At that point it’ll be feasible to take the next step into femto engineering—on the scale of trillionths of a meter—and pico engineering—on the scale of thousands of trillionths of a meter—going into the finer structures of matter and manipulating some of the really fine forces, such as strings and quarks.

That’s going to be a barrier, however, so the ongoing expansion of our intelligence is going to be propelled outward. Nonetheless, it will go both in and out. Ultimately, if you do the math, we will completely saturate our corner of the universe, the earth and solar system, sometime in the 22nd century. We’ll then want ever-greater horizons, as is the nature of intelligence and evolution, and will then expand to the rest of the universe.

How quickly will it expand? One premise is that it will expand at the speed of light, because that’s the fastest speed at which information can travel. There are also tantalizing experiments on quantum disentanglement that show some effect at rates faster than the speed of light, even much faster, perhaps theoretically instantaneously. Interestingly enough, though, this is not the transmission of information, but the transmission of profound quantum randomness, which doesn’t accomplish our purpose of communicating intelligence. You need to transmit information, not randomness. So far nobody has actually shown true transmission of information at faster than the speed of light, at least not in a way that has convinced mainstream scientific opinion.

If, in fact, that is a fundamental barrier, and if things that are far away really are far away, which is to say there are no shortcuts through wormholes through the universe, then the spread of our intelligence will be slow, governed by the speed of light. This process will be initiated within 200 years. If you do the math, we will be at near saturation of the available matter and energy in and around our solar system, based on current understandings of the limitations of computation, within that time period.

However, it’s my conjecture that by going through these other dimensions that Alan and Paul talked about, there may be shortcuts. It may be very hard to do, but we’re talking about supremely intelligent technologies and beings. If there are ways to get to parts of the universe through shortcuts such as wormholes, they’ll find, deploy, and master them, and get to other parts of the universe faster. Then perhaps we can reach the whole universe, say 1080 protons, photons, and other particles that Seth Lloyd estimates represents on the order of 1090 bits, without being limited by the apparent speed of light.

If the speed of light is not a limit, and I do have to emphasize that this particular point is a conjecture at this time, then within 300 years, we would saturate the whole universe with our intelligence, and the whole universe would become supremely intelligent and be able to manipulate everything according to its will. We’re currently multiplying computational capacity by a factor of at least 103 every decade. This is conservative, as this rate of exponential growth is itself growing exponentially. Thus it is conservative to project that within 30 decades (300 years), we would multiply current computational capacities by a factor of 1090, and thus exceed Seth Lloyd’s estimate of 1090 bits in the Universe.

We can speculate about identity—will this be multiple people or beings, or one being, or will we all be merged?—but nonetheless, we’ll be very intelligent and we’ll be able to decide whether we want to continue expanding. Information is very sacred, which is why death is a tragedy. Whenever a person dies, you lose all that information in a person. The tragedy of losing historical artifacts is that we’re losing information. We could realize that losing information is bad, and decide not to do that any more. Intelligence will have a profound effect on the cosmological destiny of the universe at that point.

Why SETI will fail

I’ll end with a comment about the SETI project. Regardless of this ultimate resolution of this issue of the speed of light—and it is my speculation (and that of others as well) that there are ways to circumvent it—if there are ways, they’ll be found, because intelligence is intelligent enough to master any mechanism that is discovered. Regardless of that, I think the SETI project will fail—it’s actually a very important failure, because sometimes a negative finding is just as profound as a positive finding—for the following reason: we’ve looked at a lot of the sky with at least some level of power, and we don’t see anybody out there.

The SETI assumption is that even though it’s very unlikely that there is another intelligent civilization like we have here on Earth, there are billions of trillions of planets. So even if the probability is one in a million, or one in a billion, there are still going to be millions, or billions, of life-bearing and ultimately intelligence-bearing planets out there.

If that’s true, they’re going to be distributed fairly evenly across cosmological time, so some will be ahead of us, and some will be behind us. Those that are ahead of us are not going to be ahead of us by only a few years. They’re going to be ahead of us by billions of years. But because of the exponential nature of evolution, once we get a civilization that gets to our point, or even to the point of Babbage, who was messing around with mechanical linkages in a crude 19th century technology, it’s only a matter of a few centuries before they get to a full realization of nanotechnology, if not femto and pico-engineering, and totally infuse their area of the cosmos with their intelligence. It only takes a few hundred years!

So if there are millions of civilizations that are millions or billions of years ahead of us, there would have to be millions that have passed this threshold and are doing what I’ve just said, and have really infused their area of the cosmos. Yet we don’t see them, nor do we have the slightest indication of their existence, a challenge known as the Fermi paradox. Someone could say that this "silence of the cosmos" is because the speed of light is a limit, therefore we don’t see them, because even though they’re fantastically intelligent, they’re outside of our light sphere. Of course, if that’s true, SETI won’t find them, because they’re outside of our light sphere.

But let’s say they’re inside our light sphere, or that light isn’t a limitation, for the reasons I’ve mentioned. Then perhaps they decided, in their great wisdom, to remain invisible to us. You can imagine that there’s one civilization out there that made that decision, but are we to believe that this is the case for every one of the millions, or billions, of civilizations that SETI says should be out there?

That’s unlikely, but even if it’s true, SETI still won’t find them, because if a civilization like that has made that decision, it is so intelligent they’ll be able to carry that out, and remain hidden from us. Maybe they’re waiting for us to evolve to that point and then they’ll reveal themselves to us. Still, if you analyze this more carefully, it’s very unlikely in fact that they’re out there.

You might ask, isn’t it incredibly unlikely that this planet, which is in a very random place in the universe and one of trillions of planets and solar systems, is ahead of the rest of the universe in the evolution of intelligence? Of course the whole existence of our universe, with the laws of physics so sublimely precise to allow this type of evolution to occur is also very unlikely, but by the anthropic principle, we’re here, and by an analogous anthropic principle we are here in the lead. After all, if this were not the case, we wouldn’t be having this conversation. So by a similar anthropic principle we’re able to appreciate this argument.

I’ll end on that note.

Copyright © 2002 by Edge Foundation, Inc. Published on KurzweilAI.net with permission.

Propelling deep space flight with a new fuel source, Momentus prepares for liftoff

Ardoride

Mikhail Kokorich, the founder of Momentus, a new Y Combinator-backed propulsion technology developer for space flight, hadn’t always dreamed of going to the moon.

A physicist who graduated from Russia’s top-ranked Novosibirsk University, Kokorich was a serial entrepreneur in who grew up in Siberia and made his name and his first fortunes in the years after the fall of the Soviet Union.

The heart of Momentus’ technology is a new propulsion system that uses water as a propellant instead of chemicals.

Image courtesy Momentus

Using water has several benefits, Kokorich says. One, it’s a fuel source that’s abundant in outer space, and it’s ultimately better and more efficient fuel for flight beyond low earth orbit. “If you move something with a chemical booster stage to the moon. Chemical propulsion is good when you need to have a very high thrust,” according to Kokorich. Once a ship gets beyond gravity’s pull, water simply works better, he says.

Some companies are trying to guide micro-satellites with technologies like Phase 4 which use ionized gases like Xenon, but according to Kokorich those are more expensive and slower. “When ionized propulsion is used for geostationary satellites to orbit, it takes months,” says Kokorich, using water can half the time.

“We can carry ten tons to geostationary orbit and it’s much faster,” says Kokorich.

The company has already signed an agreement with ECM Space, a European launch services provider, which will provide the initial trip for the company’s first test of its propulsion system on a micro-satellite — slated for early 2019.

That first product, “Zeal,” has specific impulses of 150 to 180 seconds and power up to 30 watts.



Kokorich started his first business, Dauria, in the mid-90s amid the collapse of the Soviet Union, selling explosives and engineering services to mining companies in Siberia. Kokorich sold that business and went into retail, eventually building a network of stores that sold home goods and housewares across Russia.

That raked in more millions for Kokorich, who then said he diversified into electronics by buying Russia’s BestBuy chain out bankruptcy. But space was never far from his mind, and, eventually he returned to it.

“In 2011 I hit my middle-aged crisis,” Korkorich says. “So I founded the first private Russian aerospace company.”

That company, Dauria Aerospace, was initially feted by the government, garnering the entrepreneur a place in Skolkovo, and its inaugural cohort of space companies. In an announcement of the successes the space program had achieved in 2014 Kokorich co-authored a piece with the Russian cosmonaut Sergey Zhukov, who remains the executive director of the networking and aerospace programs at the multi-billion-dollar boondoggle startup incubator.

Utilis detects water leaks underground using satellite imagery.

A few months later Kokorich would be in the U.S. working to back the first of what’s now a triumvirate of startups focused on space.

“With all the problems with Russia in the Western world, I moved to the U.S.,” says Kokorich. Dauria had quickly raised $30 million for its work, but as this Moscow Times article notes, stiff competition from U.S. firms and the sanctions leveled against Russia in the wake of its invasion and annexation of Crimea were taking their toll on the entrepreneur’s business. “It was a purely political immigration,” Korkorich says. “I don’t have purely business opportunities, because you have to work with the government [and] because the government would not like me.”

For all of his protestations, Kokorich has maintained several economic ties with partners in Russia. It’s through an investment firm called Oden Holdings Ltd. that Kokorich took an investment stake in the Canadian company Helios Wire, which was one of his first forays into space entrepreneurship outside of Russia. That company makes cryptographically secured applications for the transmission and reception of data from internet-enabled devices.

The second space company that the co-founder has built since moving to the U.S. is the satellite company Astra Digital, which processes data from satellites to make that information more accessible.

Now, with Momentus, Kokorich is turning to the problem of propulsion. “When transportation costs decrease, many business models emerge” Kokorich says. And Kokorich sees Momentus’ propulsion technology driving down the costs of traveling further into space — opening up opportunities for new businesses like asteroid mining and lunar transit.

The Momentus team is already thinking well beyond the initial launch. The company’s eyes are on a prize well beyond geostationary orbit.

Indeed, with water as a power source, the company says it will lay the groundwork for future cislunar and interplanetary rides. The company envisions a future where it will power water prospecting and delivery throughout the solar system, solar power stations, in-space manufacturing and space tourism.

Kama Sutra

From Wikipedia, the free encyclopedia

The Kama Sutra (/ˈkɑːmə ˈstrə/; Sanskrit: कामसूत्र, About this sound pronunciation , Kāmasūtra) is an ancient Indian Hindu text written by Vātsyāyana. It is widely considered to be the standard work on human sexual behaviour in Sanskrit literature.

A portion of the work consists of practical advice on sexual intercourse.[4] It is largely in prose, with many inserted anustubh poetry verses. "Kāma" which is one of the four goals of Hindu life, means desire including sexual desire, the latter being the subject of the textbook, and "sūtra" literally means a thread or line that holds things together, and more metaphorically refers to an aphorism (or line, rule, formula), or a collection of such aphorisms in the form of a manual.

Contrary to western popular perception, the Kama Sutra is not exclusively a sex manual; it presents itself as a guide to a virtuous and gracious living that discusses the nature of love, family life, and other aspects pertaining to pleasure-oriented faculties of human life.[5][6] The Kama Sutra, in parts of the world, is presumed or depicted as a synonym for creative sexual positions; in reality, only 20% of the Kama Sutra is about sexual positions. The majority of the book, notes Jacob Levy,[7][who?] is about the philosophy and theory of love, what triggers desire, what sustains it, and how and when it is good or bad.[8]

The Kama Sutra is the oldest and most notable of a group of texts known generically as Kama Shastra (Sanskrit: Kāma Śāstra).[9]

Historians believe the Kama Sutra to have been composed between 400 BCE and 200 CE.[10] John Keay says that the Kama Sutra is a compendium that was collected into its present form in the 2nd century CE.[11]

Content

Artistic depiction of a sex position. Although Kama Sutra did not originally have illustrative images, part 2 of the work describes different sex positions.

In the preface of the Kama Sutra, Vatsyayana cites the work of previous authors based on which he compiled his own Kama Sutra. He states that the seven parts of his work were an abridgment of longer works by Dattaka (first part), Suvarnanabha (second part), Ghotakamukha (third part), Gonardiya (fourth part), Gonikaputra (fifth part), Charayana (sixth part), and Kuchumara (seventh part). Vatsyayana's Kama Sutra has 1250 verses, distributed over 36 chapters, which are further organised into seven parts.[12] According to both the Burton and Doniger[13] translations, the contents of the book are structured into the following seven parts:
1. General remarks
Five chapters on contents of the book, three aims and priorities of life, the acquisition of knowledge, conduct of the well-bred townsman, reflections on intermediaries who assist the lover in his enterprises.
2. Amorous advances/sexual union
Ten chapters on stimulation of desire, types of embraces, caressing and kisses, marking with nails, biting and marking with teeth, on copulation (positions), slapping by hand and corresponding moaning, virile behaviour in women, superior coition and oral sex, preludes and conclusions to the game of love. It describes 64 types of sexual acts.
3. Acquiring a wife
Five chapters on forms of marriage, relaxing the girl, obtaining the girl, managing alone, union by marriage.
4. Duties and privileges of the wife
Two chapters on conduct of the only wife and conduct of the chief wife and other wives.
5. Other men's wives
Six chapters on behaviour of woman and man, how to get acquainted, examination of sentiments, the task of go-between, the king's pleasures, behaviour in the women's quarters.
6. About courtesans
Six chapters on advice of the assistants on the choice of lovers, looking for a steady lover, ways of making money, renewing friendship with a former lover, occasional profits, profits and losses.
7. Occult practices
Two chapters on improving physical attractions, arousing a weakened sexual power.

Pleasure and spirituality

A Sexual Encounter
 
Poolside Lovemaking

Some Indian philosophies follow the "four main goals of life",[14][15] known as the purusharthas, in order of importance:
  1. Kama: Desire
  2. Artha: (Material) prosperity
  3. Dharma: Virtuous living
  4. Moksha: Liberation.
Dharma, Artha and Kama are aims of everyday life, while Moksha is release from the cycle of death and rebirth. The Kama Sutra (Burton translation) says:
Dharma is better than Artha, and Artha is better than Kama. But Artha should always be first practised by the king for the livelihood of men is to be obtained from it only. Again, Kama being the occupation of public women, they should prefer it to the other two, and these are exceptions to the general rule.
Kama Sutra 1.2.14[17]
Of the first three, virtue is the highest goal, a secure life the second, and pleasure the least important. When motives conflict, the higher ideal is to be followed. Thus, in making money, virtue must not be compromised, but earning a living should take precedence over pleasure; however, there are exceptions.

In childhood, Vātsyāyana says, a person should learn how to make a living; youth is the time for pleasure, and as years pass, one should concentrate on living virtuously and hope to escape the cycle of rebirth.[18] The Kama Sutra acknowledges that the senses can be dangerous: 'Just as a horse in full gallop, blinded by the energy of his own speed, pays no attention to any post or hole or ditch on the path, so two lovers, blinded by passion, in the friction of sexual battle, are caught up in their fierce energy and pay no attention to danger' (2.7.33).

Also, the Buddha preached a Kama Sutra, which is located in the Atthakavagga (sutra number 1). This Kama Sutra, however, is of a very different nature, as it warns against the dangers that come with the search for pleasures of the senses.

Many in the Western world wrongly consider the Kama Sutra to be a manual for tantric sex.[citation needed] While sexual practices do exist within the very wide tradition of Hindu Tantra, the Kama Sutra is not a Tantric text, and does not touch upon any of the sexual rites associated with some forms of Tantric practice.

Translations

Lamairesse - Kama Sutra.djvu

The most widely known English translation of the Kama Sutra was privately printed in 1883. It is usually attributed to renowned orientalist and author Sir Richard Francis Burton, but the chief work was done by the Indian archaeologist Bhagwan Lal Indraji, under the guidance of Burton's friend, the Indian civil servant Forster Fitzgerald Arbuthnot, and with the assistance of a student, Shivaram Parshuram Bhide.[19] Burton acted as publisher, while also furnishing the edition with footnotes whose tone ranges from the jocular to the scholarly. Burton says the following in its introduction:
It may be interesting to some persons to learn how it came about that Vatsyayana was first brought to light and translated into the English language. It happened thus. While translating with the pundits the 'Anunga Runga, or the stage of love', reference was frequently found to be made to one Vatsya. The sage Vatsya was of this opinion, or of that opinion. The sage Vatsya said this, and so on. Naturally questions were asked who the sage was, and the pundits replied that Vatsya was the author of the standard work on love in Sanscrit[sic] literature, that no Sanscrit library was complete without his work, and that it was most difficult now to obtain in its entire state. The copy of the manuscript obtained in Bombay was defective, and so the pundits wrote to Benares, Calcutta and Jaipur for copies of the manuscript from Sanscrit libraries in those places. Copies having been obtained, they were then compared with each other, and with the aid of a Commentary called 'Jayamanglia' a revised copy of the entire manuscript was prepared, and from this copy the English translation was made. The following is the certificate of the chief pundit:

"The accompanying manuscript is corrected by me after comparing four different copies of the work. I had the assistance of a Commentary called 'Jayamangla' for correcting the portion in the first five parts, but found great difficulty in correcting the remaining portion, because, with the exception of one copy thereof which was tolerably correct, all the other copies I had were far too incorrect. However, I took that portion as correct in which the majority of the copies agreed with each other."
In the introduction to her own translation, Wendy Doniger, professor of the history of religions at the University of Chicago, writes that Burton "managed to get a rough approximation of the text published in English in 1883, nasty bits and all". The philologist and Sanskritist Professor Chlodwig Werba, of the Institute of Indology at the University of Vienna, regards the 1883 translation as being second only in accuracy to the academic German-Latin text published by Richard Schmidt in 1897.[20]

A noteworthy translation by Indra Sinha was published in 1980. In the early 1990s, its chapter on sexual positions began circulating on the internet as an independent text and today is often assumed to be the whole of the Kama Sutra.[21]

Alain Daniélou contributed a noteworthy translation called The Complete Kama Sutra in 1994.[22] This translation, originally into French, and thence into English, featured the original text attributed to Vatsyayana, along with a medieval and a modern commentary. Unlike the 1883 version, Daniélou's new translation preserves the numbered verse divisions of the original, and does not incorporate notes in the text. He includes English translations of two important commentaries:
  • The Jayamangala commentary, written in Sanskrit by Yashodhara during the Middle Ages, as page footnotes.
  • A modern commentary in Hindi by Devadatta Shastri, as endnotes.
Daniélou[23] translated all Sanskrit words into English (but uses the word "brahmin"). He leaves references to the sexual organs as in the original: persistent usage of the words "lingam" and "yoni" to refer to them in older translations of the Kama Sutra is not the usage in the original Sanskrit; he argues that "to a modern Hindu, 'lingam' and 'yoni' mean specifically the sexual organs of the god Shiva and his wife, and using those words to refer to humans' sexual organs would seem irreligious." The view that lingam means only "sexual organs" is disputed by academics such as S. N. Balagangadhara.[24]

An English translation by Wendy Doniger and Sudhir Kakar, an Indian psychoanalyst and senior fellow at the Center for Study of World Religions at Harvard University, was published by Oxford University Press in 2002. Doniger contributed the Sanskrit expertise while Kakar provided a psychoanalytic interpretation of the text.[25]

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