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Hair for brain trade-off, a metabolic bypass for encephalization

Abstract

Hair loss in humans is perplexing and raises many hypothetical explanations. This paper suggests that hair loss in humans is metabolically related to encephalization; and that hair covered hominids would have been unable to evolve large brains because of a dietary restriction of several amino acids which are essential for hair and brain development. We use simulations to imply that hair loss must have preceded increase in brain size & volume. In this respect we see hair loss as a major force in human evolution. We assume that hair reduction required favorable climatic conditions and must have been quick. Using evolutionary and ecological time scales, we pinpoint hair loss to a period around 2.2-2.4 million years ago. The dating is further supported by a rapid selection at that time of the sialic acid deletion mutation which may have protected growing human brains against calcium ion flux. In summary we view encephalization, in part, as a metabolic trade-off between hair and brain. Other biochemical changes may have intervened in the process too; and the deletion mutation of sialic acid hydroxylation may have been involved as well.

Background

Hairlessness distinguishes humans from most mammals and all other primates. Along with bipedalism and large brains it is the most visually distinctive human characteristic. However, while brains and locomotion have clear functional and evolutionary advantages, the utility of hairlessness is less evident and it is often viewed as a mere curiosity. Since hair cannot be traced in the fossil record, explanations on its evolutionary loss are largely based on conjecture and have given rise to many intuitive non-verifiable explanations.

In this paper we propose that the evolution of human hairlessness is directly tied to brain growth and therefore merits close investigation. Our theory is based on biochemical and metabolic principles for which there is sufficient evidence to allow us to estimate that the human brain began to grow only after most hair cover was lost. Combining metabolism with cellular biochemistry we are further able to postulate that hair was lost and brains began to grow some 2.2-2.4 (million years ago).

Our proposed model does not upset the accepted view of human development. Rather, it focuses attention on a critical period in human evolution and provides biochemical and molecular insights to explain the unique emergence of a hairless large brained bipedal hominid at the end of this period. We focus on the primary utility of hair loss in humans and avoid putative secondary advantages of hairlessness like evaporative cooling (Carrier1984) or brain heat stress (Fiailkowski1986); and we sidestep hair loss in other species such as the case in cetaceans (Chen et al.2013).

Briefly stated, all hair contains large amounts of several amino acids that are essential for brain development and function, but are in limited quantity in food. Our data show that hair and brains are in direct competition over this limited resource to such extent that a furry hominid would not have been able to develop a large brain. Therefore, we suggest that hair loss in humans must have preceded brain growth.

Because of the need for amino acids, our data further implies that encephalization could only develop in an omnivorous species.

Protein, hair and brains

Like all tissue, hair and brain, are made up of protein which, in turn, is made up of amino acids building blocks. Some amino acids are synthesized internally and the rest are obtained from food. Amino acids which must be derived from external sources are called ‘essential’. If they are not supplied in sufficient quantity they can form developmental bottlenecks. Our argument is based on four essential amino acids, methionine, cysteine, arginine and tyrosine. These amino acids and their derivatives are in limited supply in food, are vital for brain development and function, and are also structural components of all hair.

Hair and brain are in a direct conflict over the supply of these scarce amino acids. This conflict is based on the nature of hair and on distinctive metabolic requirements of the brain, including methylation, antioxidant activity and osmolite capacity. Mammalian bodies can normally divert amino acids from one tissue to another to address temporary needs, but hair is a dead structure and amino acids deposited in it cannot be redirected for other need. Under conditions of limited supply, the deposition of protein in hair represents an amino acid loss which is tolerable in a small brained mammals or in a hairless human, but would be a limiting factor to brain growth and function in a hair covered hominid.

From an evolutionary perspective, this hair-brain trade-off would have conferred a metabolic advantage on hominids with less hair at a time when rapid brain development was a primary selective factor. Hair loss may have preceded encephalization, or could have been accelerate by it. This scenario locates human hair loss at a critical crossroads of human development and helps pinpoint it on the evolutionary timeline.

To develop our case we first briefly summarize the general role of amino acids and review the metabolic amino acid requirements of the brain. We next establish the interdependence of encephalization and hair loss by means of a metabolic estimation based on proto human and on primate nutrition. Finally we propose an evolutionary scenario to account for brain growth and hair loss.

Amino acid requirements

Proteins are made up of 20 principal amino acid building blocks. Plants, bacteria and archeae synthesize all amino acids from other organic compounds, but higher animals are more limited and rely in part on external nutritional sources. Mammals can convert some amino acids into other amino acids and also synthesize limited amounts in the gut, but must obtain most of the amino acids from food. Amino acids which must be derived from external food sources are termed ‘essential indispensable’. If an essential amino acid is missing from the diet, growth, development and many other functions are impaired and eventually stop.

In humans, eight amino acids are essential and four are partially synthesized from other amino acids and are termed ‘conditionally essential’. Of the four amino acids implicated in the proposed hair-brain trade-off, methionine is essential and cysteine, arginine and tyrosine are ‘conditionally essential’. Protein requirements are measured in grams per kilogram body weight per day (g/kg/d) and called “recommended daily allowances” (RDA). Human adult maintenance needs are modest, at 56 g/d for a 70 kg person. Applied to a putative hominid, this would only represent 12-15% of the overall resting energy requirement. (FAO/WHO/UNU2002; Food and Nutrition Board & Institute of Medicine2002). Coincidentally these requirements are very similar to established Baboon requirements (15-20% according to the Merck Veterinary Manual).

However, demand greatly varies by age and activity. Infants, children and pregnant and lactating women require twice as much protein. Physical activity and climatic stress also increase needs several folds and the optimal amino acid requirements for maximal muscle growth are probably higher than those suggested for normal growth and physical activity (Lemon1996; ADA Report2000; Tarnopolsky2004); see Table 1.

Table 1 Human protein requirements (RDA)

Protein requirements of a “Running Paleolithic Hunter”, can be assumed to be particularly high (Raichlen et al.2011), and so would protein requirements during ontogenic growth spurts (Leigh1996).

Since not all dietary protein contains all amino acids, quality is important. A steady and optimal supply of all essential amino acid in early childhood is vital for growth and behavior. An insufficient protein supply is the primary cause of cognitive and behavioral defects in malnourished infants; and, conversely, the increase in stature in affluent societies in the last century is largely attributed to enhanced protein availability (FAO/WHO/UNU2002; Waterlow1997; Meisel and Vega2007). Amino acid requirements are particularly high in early infancy when most brain growth occurs and they fall substantially after maturation (Table 2). For example, arginine is essential only for infants and does not constitute a limiting factor after the brain reaches full size (Klein2002; Pencharz and Ball2004).

Table 2 Estimated requirements of selected amino acids in humans by age

The amino acid shuttle

Ingested amino acids are metabolized, converted into body building proteins and then recycled over and over at very high rates in what is generally known as a “protein turnover” (Pfrimer et al.2009). Ultimately, after many repeated shuttles, amino acids are oxidized and the nitrogenous residues are excreted as metabolic end-products in urine.

Beyond their role in body building, amino acids are vital for numerous metabolic processes that affect function and maintenance (Czikk et al.2003; Wu2009). It is therefore reasonable to assume that the ontogenetic encephalization process that occurs in infants requires much amino acid supplementation (Lepage et al.1997; Buonocore et al.2001; Reinstein and Ciechanover2006) in addition to several other brain selective nutrients (Lynfield1960). Furthermore, the speed of protein turnover largely determines its waste rates. The faster the shuttle, the higher is the rate of amino acid loss and the greater is the dependence on external nutritional sources. The brain thus accounts for much of the essential amino acid drain. This is important in large brained primates and vital in the much larger brained humans. In mammals, a substantial amount of cysteine and arginine are synthesized into keratin, a fibrous protein which is the main component of hair, nails, skin and horn.

Human hair is composed of about 17% cysteine, a sulphuric amino acid noted for its ability to add rigidity to biological tissue (Table 3). This transformation of amino acids into keratin is a one way street. Hair, nails and keratinized skin are dead structures. Proteins converted into them are lost to the body, much as protein in milk is lost in lactation. Therefore, the maintenance of a coat of hair constitutes a nutritional and metabolic drain of protein similar to the stress imposed on the female body by breast feeding. In fact, the added stress of lactation commonly produces a temporary hair loss in females (Lynfield1960; Randall and Ebling1991; Novak and Meyer2009; Camacho-Martinez2009).

Table 3 Amino acid content of human hair protein performed by amino acid analysis of hydrolyzed proteins

Metabolic considerations

Unlike most other tissue the brain functions steadily and largely independently of physical activity. Its effect on protein turnover primarily depends on its size. Over time, the brain requires more energy than equivalent muscle tissue (Leonard et al.2003; Raichle and Mintun2006). In most mammals the brain accounts for 0.5-1% of total body weight and the overall metabolic requirements do not exceed 5% of the “resting metabolic rate” (RMR). In human adults, the brain constitutes 2-3% of body weight and accounts for 20-25% of RMR. In infants, the brain can reach 10% of body weight and consume 60% or more of the energy expenditure; and the rate is even higher in fetus (Leonard et al.2007; Barrickman and Lin2010, Bogin1997; Cunnane and Crawford,2003). This high energy expenditure is associated with a greatly enhanced protein turnover and a dependence on a steady supply of essential amino acids (Sheffield-Moore et al.2004; Bolster et al.2005; Cuthbertson et al.2006). The rate of protein turnover largely determines its waste rate. The faster protein cycles in body and brain, the greater is the amino acid loss and the consequent dependence on nutritional protein.

From a whole body perspective, the three organs with the greatest essential amino acid requirement are the brain, which depends on a steady amino acid flow, hair into which amino acids are lost and muscles. However, brain and hair have a constant need of amino acids while muscles require them intermittently during exertion. The interplay between the two constant structures, further orchestrated by protein intake, is meaningful in all larger brained species, is important in primates and is critical in humans where the energy requirements of a large brain dominate development.

The amino acids implicated in proposed hair-brain tradeoff are the sulphuric amino acids (methionine and cysteine), aromatic amino acids (tyrosine and phenyl alanine) and arginine [see Table 4]. These are involved in the brain in a wide set of vital functions which make their availability critical. The following list outlines their main functions to convey their critical roles:

Table 4 Estimation of amino acid wearing away in hair by the adult pre-human hominid, average and (range)

The sulphuric amino acids are mainly involved in methylation reactions such as:

  • Methyl flux to facilitate myelin insulation and creatine synthesis (Bianchi et al.1999; Pritzker et al.2000; Cimato et al.2002; Stead et al.2006; Harauz and Musse2007; Polverini et al.2008; Harauz and Libich2009).

  • Mathyl flow for osmolite compound synthesis to enhance protein folding and antioxidant activities (Mcmanus et al.1995; Hill et al.2002; Lambert2004).

  • Methyl flux for myelin post translational modification to enhance conductance and electrical insulation. (Harauz and Libich2009; Cao et al.1999; Homchaudhuri et al.2009).

The aromatic amino acids phenylalanine and tyrosine are recycled for:

  • Tubulin tyrosination (Wadey et al.2009; Heng et al.2009; Janke and Kneussel2010); the increase of signal conductance by tyrosine substitution of myelin basic protein; and the biogenesis of myelin membranes: sorting, trafficking and cell polarity (Baron and Hoekstra2010).

Arginine is necessary for:

  • Nitric oxide synthesis (NO) for physiological regulation of the nervous system and synaptic plasticity, learning and memory (Liu et al.2009; Guix et al.2005; Gensert and Ratan2006).

  • Citruline and agmatine synthesis and signaling molecule synthesis (Liu et al.2009; Guix et al.2005).

  • myelin protein synthesis. (Harauz and Musse2007; Polverini et al.2008; Ridsdale et al.1997; Hu et al.2004).

  • Arginine is also needed for creatine synthesis to help maintain brain energy homeostasis (HMDB 3.0http://www.hmdb.ca/; Pfefferle et al.2011).

In this context it is worth noting that proteins embedded in myelin and microtubles in the brain undergo intensive post-translational reactions. Such modified amino acids cannot be redirected into the protein turnover and are lost. The brain, therefore, needs a relatively higher amino acid supply than other organs.

Availability of essential amino acids thus constitutes a metabolic substrate barrier that is determined by ingested food on the one hand and by leaching into hair on the other. The maintenance of a full coat of hair is therefore in conflict with the requirements imposed by a large brain; and we hypothesize that brain growth in early hairy hominids would have been limited by the loss of these essential amino-acids into hair.

Estimation of protein and amino acid supply for fur maintenance

To test this hypothesis we estimated what the amino acid loss would have been in a hypothetical large brained “hairy” hominid of modern human proportions. For convenience we chose a “standard” individual of 170 cm height and 70 kg weight (Auerbach and Ruff2004; Ruff2010). To enhance validity we calculated hair synthesis by two different convergent methods: by estimating hair production of single follicles and multiplying it for the whole body; and by estimating hair production of the scalp and projecting to the complete body. The two estimations yield close and partially overlapping estimates. We adopt the lowest and highest estimates as the most likely range for our calculations (Table 5).

Table 5 Estimation of total body hair synthesis and amino acid wearing away by the pre-human hominid by two approaches

The estimation methods are as follows:

  1. A.

    Estimation of protein loss from a single follicle:

    For a hair fiber of diameter 100 μm and a growth rate of about 20 μm per hour, 5-10 μg of protein are produced in a single follicle every 24/h (Rogers et al.2004). With an assumed density of 316 follicles per cm2 [typical of the human head] and an assumption that the whole body is covered with the same density; a hair covered hominid of modern proportion would synthesize protein on a range of 28 to 56 g/d.

  2. B.

    Estimation of protein loss from the complete scalp.

    The number of follicles on the scalp is estimated at 80 – 150 × 103, and the number of follicles on the body is estimated at 5.7 × 106. Thus the ratio between the two is on a range of 1/71 to 1/133. Total hair production on the scalp is estimated at 0.3 g/d. Therefore we can estimate whole body protein synthesis of a hairy hominid on a range of 21 – 40 g/d.

Using these two estimates, we adopt a range of 21-56 g/d as a likely daily protein loss into hair. [A smaller large brained hominid would produce less protein but would expand a large proportion of the daily energy on brain function].

Using the estimated amino acid content in hair, presented in Table 3 and the protein loss into hair presented in Table 5 we can now calculate a daily loss of 6.5 grams of sulphuric amino acids, 2.5 grams of arginine and 1.4 grams of phenylalanine and tyrosine (Table 4).

The table also shows the daily nutritional requirements for sulphuric and aromatic amino acids (there are no nutritional guidelines argenine which is not an essential amino acid for adults). Some additional methionine would be further lost through the synthesis of methylated fatty acids in the hair (Breakspear et al.2005); and humans also convert some sulphuric amino acids into taurine, a sulfonic acid which promotes hair growth and protects the brain against free radical damage (Collin et al.2006); and some cysteine is diverted to glutathione production (Buonocore et al.2001; Dringen2000).

The daily loss of amino acids, in particular sulphuric amino acids, into hair (Table 4) constitutes a severe depletion of these amino acids and an overall protein loss which would be beyond the requirements of a large brained hairy hominid. The loss would be further compounded by physical activity (Lemon1996; Tarnopolsky2004) and seasonal requirements (Table 6). In fact, insufficient amino acid supply causes hair growth retardation even in modern humans (Elsas and Acosta2014).

Table 6 Amino acid content (sulfur amino acids, arginine and aromatic amino acids). of human hair genes with a high sulfur content (approximately g/100 g hair)

Estimation of the amino acid composition of human hair

Amino acid composition in hair varies among individuals and over time. Therefore rates vary between published analyses. Several estimates of the “limiting” amino acids are listed in Table 7 with summary and median values.

Table 7 Comparative composition of protein hair according to the data collected from 10 studies

The how and when of hair loss

Our simulation leads to a tentative conclusion that a dense coat of hair and a large brain cannot co-exist. The implication is that body hair must have been lost to allow the brain to grow. One alternative route would hold that hair was lost first and that brain grew later in an unrelated process. Alternatively an evolutionary drive for a larger brain may have begun before hair was lost and may have contributed towards the selection for less hair. In following hair loss it is important to note that humans have not lost the capacity to grow hair, still possess piliary appendages and produce substantial amounts of hair on body and head. The fact that hair follicles were retained and only hair growth was depressed, favors an interrelated selection in which less hairy individuals have an advantage over more hairy ones at a time of rapid brain growth. This explanation is attractive insofar as a fairly wide range of hair densities exists in many mammalian species making hair quantity and quality a ready selection variable (as evidenced by the easy artificial selection for hair and wool in sheep, goats, dogs, cats and other domestic animals).

The vital thermoregulatory functions of hair would require that hair could have been lost at a time and a place when insulation was of little importance. An equatorial African savannah is a natural candidate and has in fact been suggested by proponents of other theories on hair; i.e. the sweating and cooling theories (Amaral,1996; Wheeler,1996). The timing is unclear but may have coincided with a period of gradual warming. Since a large brain is subject to greater calcium ion stress and is better protected against it by the non hydroxilated form of sialic acid (Muthing et al.1998; Martin and Freeze2003) to which humans are disposed by a unique single mutation which occurred some 2.2-2.4 MYA (Varki2007), one may perhaps see this point in time as the earliest boundary for initiation. Here too the assumed timing is attractive as it corresponds well with a host of major developments in human evolution including bipedalism (Isbell and Young1996).

The phylogeny and ontogeny of brain growth

The proposed evolutionary scenario raises several putative questions: Why have early humans not been driven to a greater protein consumption? Why have carnivore brains remained relatively small? Why don’t human adults develop body hair in maturity? These and similar questions can serve as guidelines to the evolutionary role of hair loss in humans and require a discourse on the broader evolutionary implications of the hair-brain duet. Encephalization comprises two main components, a phylogenic process by which brains in successive generations in a given population become progressively larger; and an ontogenetic process by which brains of developing individuals in any generation go through a period of intensive growth. The two are inter-connected. The further advanced the phylogenic process, the more intense must ontogenetic growth be to achieve a typical full brain size within the short pre-determined period of development.

We believe that the metabolic requirements of a large brain for sulphuric amino acids and arginine are in conflict with protein deposition and loss in hair. While this may not have hindered the initiation of a phylogenetic incremental brain development, process would have been slowed down by its ontogenetic complement. Assuming hairiness and baboon-like foraging, the available diet (Wheeler1992; Washburn and McCown1978) would not sustain fetal and neonate brain growth of human proportions. Natural selection might favor larger brains but dietary constraints would limit their expression (Babbitt et al.2011; Wheeler1992; Washburn and McCown1978; Nagy et al.1999).

Under such conditions, however, individuals with a less dense coat of hair might fare better in selective terms. We propose that if brain size had a survival value that was greater than the survival value conferred by a dense fur, the gene pool of individuals with larger brains would have increased at a greater rate than the gene pool of individuals with dense hair. Hairiness in the population would have been reduced while brain size increased thus in effect constituting a biochemical hair-brain trade-off.

The dietary constraints draw attention to dietary protein. Human diets are flexible and easily adapt to accommodate for climatic and environmental variables. It is reasonable to assume that omnivorous hominids faced with an amino acid crunch may have gravitated towards higher protein consumption. Indeed it is now estimated that animal protein constitutes some 30% of total energy intake in some extant chimp societies (Stanford1996; Schoeninger et al.1999; Gilby et al.2006) and high protein requirements are listed for several other primates (Committee on Animal Nutrition2003). Such protein consumption rates are similar to modern adult humans and should be sufficient to support both brain and hair. However, high rates of animal protein are difficult to maintain by active non-carnivores and it seems that neither total vegetarianism nor committed carnivory afford balanced nutritional intakes that allow species to depart from an entrenched nutritional tract. Both strategies are subject to periodic “food scarcity” bottlenecks, and each produce certain deficiencies and enhances specific risk factors. Nutritional specialists at both ends of the spectrum are least flexible and most vulnerable (Wheeler1992; Speth2010). Some tendency towards nutritional opportunism seems to enhance evolutionary plasticity and an omnivorous strategy may be the best overall solution. Using dietary nutrient analysis we may rule out brain growth in committed grazers, leaf eaters, frugivores and specialist terrestrial carnivores (the case is not clear for marine mammals). Potential candidates include most true omnivorous species including humans, chimps and other higher primates.

Of these, only humans lost body hair and even they may be viewed more as hair suppressors than out and out hair losers. The fact that humans only suppress hair growth leaving the follicle intact, supports our contention that the developmental conflict is limited to the production of hair and amino acid loss.

When viewed from a nutritional perspective, the extended human gestation may reflect, in part, a moderating evolutionary adaptation to the conflict between ontogeny and phylogeny. A longer pregnancy may slow the protein drain on the mother thereby lowering nutritional stress (Rosenberg1992). This may also explain why modern humans have not revitalized hair growth in cold climates. Once hair growth was suppressed to ensure optimal fetal and infant brain development, the ability to reselect hair in adulthood may have become an evolutionary dead end in selective terms.

Selective hair loss gives rise to several tempting sociobiological scenarios. If hair loss and big brains go hand in hand it may be supposed that less hairy big brained individuals would be more likely to achieve high status and have greater reproductive success. This would further enhance the evolution of hairlessness and may speed it along within stable social groups. Furthermore, hair in modern humans has obvious social signal functions that go beyond mere cognition (Hopp1983; Dunbar and Shultz2007) it affects social recognition and helps shape attitudes towards conspicuity. Mate choice strategies in early humans may have led to a ‘naked is fitter’ preference and furthered a human predilection for hairlessness which in turn would promote the selection of less hairy individuals.

The proposed evolutionary scenario may tie together several hitherto unexplained variables and may also have some profound evolutionary implications. First it reinforces an intuitive hypothesis that encephalization could not have occurred in herbivores or in exclusively vegetarian primates. This may shed some light on the emergent findings on chimp predatory behavior. It has been proposed that chimps are protein deficient. We suggest that all larger brained primates must be sulphuric amino acid, aromatic amino acids and arginine deficient because of the brain-hair conflict. Second, the presumed trade-off would only be possible under warm and stable climatic conditions, where relative hairlessness would not constitute a survival disadvantage. This fits well with ubiquitous equatorial evolutionary concepts. It may also narrow the proposed timeframe of hair loss and may further resolve some of the debates on hair (Washburn and McCown1978; Potts1998; Hetherington and Reid2010).

Estimation of the amino acid composition of human hair

Amino acid composition in hair varies among individuals and over time. Therefore rates vary between published analyses. Several estimates of the “limiting” amino acids are listed in Table 7 with summary median summary values.

References

  • ADA Report: Position of the American Dietetic Association, dieticians of Canada and the American College of Sport Medicine, nutrition and athletic performance. J Am Diet Assoc 2000, 100: 1543-1556.

    Google Scholar 

  • Amaral LQ: Loss of body hair, bipedality and thermoregulation. Comments on recent papers in the Journal of Human Evolution. J Hum Evol 1996, 30: 357-366.

    Google Scholar 

  • Auerbach BM, Ruff CB: Human body mass estimation: a comparison of “morphometric” and “mechanical” methods. Am J Phys Ant 2004, 125: 331-342.

    Google Scholar 

  • Babbitt CC, Warner LR, Fedrigo O, Wall CE, Wray GA: Genomic signatures of diet-related shifts during human origins. Proc R Soc B 2011, 278: 961-969.

    Google Scholar 

  • Baron W, Hoekstra D: On the biogenesis of myelin membranes: sorting, trafficking and cell polarity. FEBS Lett 2010, 584: 1760-1770.

    Google Scholar 

  • Barr SI, Rideout CA: Nutritional considerations for vegetarian athletes. Nutrition 2004, 20: 696-703.

    Google Scholar 

  • Barrickman NL, Lin MJ: Encephalization, expensive tissues, and energetics. An examination of the relative costs of brain size in strepsirrhines. Am J Phys Ant 2010, 143: 579-590.

    Google Scholar 

  • Bianchi R, Calzi F, Savaresi S, Sciarretta-Birolo R, Bellasio R, Tsankova V, Tacconi MT: Biochemical analysis of myelin lipids and proteins in a model of methyl donor pathway deficit, effect of s-adenosylmethionine. Exp Neurol 1999, 159: 258-266.

    Google Scholar 

  • Bogin B: Evolutionary hypotheses for human childhood. Am J Phys Ant 1997, 104(S25):63-89.

    Google Scholar 

  • Bolster DR, Pikosky MA, Gaine PC, Martin W, Wolfe RR, Tipton KD, Maclean D, Maresh CM, Rodriguez NR: Dietary protein intake impacts human skeletal muscle protein fractional synthetic rates after endurance exercise. Am J Physiol-Endoc M 2005, 289: E678-E683.

    Google Scholar 

  • Bradbury N: The structure and chemistry of keratin fibers. Adv Protein Chem 1979, 27: 111-211.

    Google Scholar 

  • Breakspear S, Smith JR, Luengo G: Effect of the covalently linked fatty acid 18-MEA on the nanotribology of hair’s outermost surface. J Struct Biol 2005, 149: 235-242.

    Google Scholar 

  • Buonocore G, Perrone S, Bracci R: Free radicals and brain damage in the newborn. Biol Neonate 2001, 79: 180-186.

    Google Scholar 

  • Burke LM: Nutritional practices of male and female endurance cyclists. Sports Med 2001, 31: 521-532suppl.

    Google Scholar 

  • Camacho-Martinez FM: Hair loss in women. Semin Cutan Med Surg 2009, 28: 19-32.

    Google Scholar 

  • Cao L, Goodin R, Wood D, Moscarello MA, Whitaker JN: Rapid release and unusual stability of immunodominant peptide 45–89 from citrullinated myelin basic protein. Biochemistry 1999, 38: 6157-6163.

    Google Scholar 

  • Carrier DR: The energetic paradox of human running and hominid evolution. Curr Anthropol 1984, 25: 483-495.

    Google Scholar 

  • Chen Z, Wang Z, Xu S, Zhou K, Yang G: Characterization of hairless (Hr) and FGF5 genes provides insights into the molecular basis of hair loss in cetaceans. BMC Evol Biol 2013, 13: 34.

    Google Scholar 

  • Cimato TR, Tang J, Xu Y, Guarnaccia C, Herschman HR, Pongor S, Aletta JM: Nerve growth factor-mediated increases in protein methylation occur predominantly at type I arginine methylation sites and involve protein arginine methyltransferase. J Neurosci Res 2002, 67: 435-442.

    Google Scholar 

  • Collin C, Gautier B, Gaillard O, Hallegot P, Chabane S, Bastien P, Peyron M, Bouleau M, Thibaut S, Pruche F, Duranton A, Bernard BA: Protective effects of taurine on human hair follicle grown in vitro. Int J Cosmetic Sci 2006, 28: 289-298.

    Google Scholar 

  • Committee on Animal Nutrition: Nutrient Requirements of Nonhuman Primates. 2nd edition. The National Academies Press, Washington, D.C.; 2003. Accessed Sep 2014http://www.nap.edu

    Google Scholar 

  • Crewther WG, Fraser RDB, Lennox FG, Lindley H: The chemistry of keratins. Adv Protein Chem 1965, 20: 191-346.

    Google Scholar 

  • Cunnane SC, Crawford MA: Survival of the fattest: fat babies were the key to evolution of the large human brain. Comp Biochem Physiol A 2003, 136: 17-26.

    Google Scholar 

  • Cuthbertson DJ, Babraj J, Smith K, Wilkes E, Fedele MJ, Esser K, Rennie M: Anabolic signaling and protein synthesis in human skeletal muscle after dynamic shortening or lengthening exercise. Am J Physiol-Endoc M 2006, 290: E731-E738.

    Google Scholar 

  • Czikk MJ, Sweeley JC, Homan JH, Milley JR, Richardson BS: Cerebral leucine uptake and protein synthesis in the near-term ovine fetus: relation to fetal behavioral state. Am J Physiol Regul Integ Comp Physiol 2003, 284: R200-R207.

    Google Scholar 

  • Dringen R: Metabolism and functions of glutathione in brain. Prog Neurobiol 2000, 62: 649-671.

    Google Scholar 

  • Dubois D, DuBois EF: The measurement of the surface area of man. Arch Intern Med 1915, 15: 868-881.

    Google Scholar 

  • Dunbar RIM, Shultz S: Evolution in the social brain. Science 2007, 317: 1344-1347.

    Google Scholar 

  • Elsas IILJ, Acosta PB: Inherited metabolic disease, amino acids, organic acids, and galactos. In Modern Nutrition in Health and Disease (Chap 69). 11th edition. Edited by: Ross AC, Caballero B, Cousins RJ, Tucker KL, Ziegler TR. Philadelphia, PA: Lippincott Williams & Wilkins. E-book Ovid SP; 2014.

    Google Scholar 

  • Emonet J, Michaille M, Dhouailly D: Isolation and characterization of genomic clones of human sequences presumably coding for hair cysteine-rich proteins. J Dermatol Sci 1997, 14: 1-11.

    Google Scholar 

  • FAO/WHO/UNU: Report of a joint FAO/WHO/UNU Expert Consultation. Protein and Amino Acid Requirements in Human Nutrition. Geneva; 2002 http://whqlibdoc.who.int/trs/WHO_TRS_935_eng.pdf. Accesed Sep 2014

    Google Scholar 

  • Fiailkowski K: A mechanism for the origin of the human brain: a hypothesis. Curr Anthropol 1986, 27: 288-290.

    Google Scholar 

  • Food and Nutrition Board: Dietary Reference Intakes for Energy, Carbohydrate, Fiber, Fat, Fatty Acids, Cholesterol, Protein, and Amino Acids. NAP, Washington, DC; 2002.

    Google Scholar 

  • Galloway DH, Odell ACF, Margen A: Sweat and miscellaneous nitrogen losses in human balance studies. J Nutr 1971, 101: 775-786.

    Google Scholar 

  • Gensert JM, Ratan RR: The metabolic coupling of arginine metabolism to nitric oxide generation by astrocytes. Antioxid Redox Signaling 2006, 8: 919-928.

    Google Scholar 

  • Gilby IC, Eberly LE, Pintea L, Pusey AE: Ecological and social influences on the hunting behavior of wild chimpanzees, Pan troglodytes schweinfurthii. Anim Behav 2006, 72: 169-180.

    Google Scholar 

  • Guix FX, Uribesalgo I, Coma M, Munoz FJ: The physiology and pathophysiology of nitric oxide in the brain. Prog Neurobiol 2005, 76: 126-152.

    Google Scholar 

  • Harauz G, Libich DS: The classic basic protein of myelin – conserved structural motifs and the dynamic molecular barcode involved in membrane adhesion and protein-protein interactions. Curr Protein Pept Sci 2009, 10: 196-215.

    Google Scholar 

  • Harauz G, Musse AA: A tale of two citrullines – structural and functional aspects of myelin basic protein deimination in health and disease. Neurochem Res 2007, 32: 137-158.

    Google Scholar 

  • Heng JIT, Chariot A, Nguyen L: Molecular layers underlying cytoskeletal remodelling during cortical development. Trends Neurosci 2009, 33: 38-47.

    Google Scholar 

  • Hetherington R, Reid RGB: The Climate Connection, Climate Change and Modern Human Evolution. Cambridge University Press, New York; 2010.

    Google Scholar 

  • Hill CM, Bates IR, White GF, Hallett FR, Harauz GDB: Effects of the osmolyte trimethylamine-N-oxide on conformation, self-association, and two-dimensional crystallization of myelin basic protein. J Struct Biol 2002, 139: 13-26.

    Google Scholar 

  • HMDB 3.0: Human Metabolome Database. Accessed Sep 2014http://www.hmdb.ca/

  • Homchaudhuri L, Polverini E, Gao W, Harauz G, Boggs JM: Influence of membrane surface charge and post-translational modifications to myelin basic protein on its ability to tether the Fyn-SH3 domain to a membrane in vitro. Biochemistry 2009, 48: 2385-2393.

    Google Scholar 

  • Hopp M PhD thesis. In The Evolution of Human Hairlessness. Cornell University, Itheca; 1983.

    Google Scholar 

  • Hu Y, Doudevski I, Wood D, Moscarello M, Husted C, Genain C, Zasadzinski JA, Israelachvili J: Synergistic interactions of lipids and myelin basic protein. Proc Natl Acad Sci U S A 2004, 101: 13466-13471.

    Google Scholar 

  • Isbell LA, Young TP: The evolution of bipedalism in hominids and reduced group size in chimpanzees: alternative responses to decreasing resource availability. J Hum Evol 1996, 30: 389-397.

    Google Scholar 

  • Janke C, Kneussel M: Tubulin post-translational modifications, encoding functions on the neuronal microtubule cytoskeleton. Trends Neurosci 2010, 33: 362-372.

    Google Scholar 

  • Jones LN, Peet DJ, Danks DM, Negri AP, Rivett DE: Hairs from patients with maple syrup urine disease show a structural defect in the fiber cuticle. J Invest Dermatol 1996, 106: 461-464.

    Google Scholar 

  • Kim SN, Lee SY, Choi MH, Joo KM, Kim SH, Koh JS, Park WS: Characteristic features of ageing in Korean women’s hair and scalp. Br J Dermatol 2013, 168: 1215-1223.

    Google Scholar 

  • Klein CJ: Nutrient requirements for preterm infant formulas. J Nutr 2002, 132: 1395S-1577S.

    Google Scholar 

  • Krause K, Foitzik K: Biology of the hair follicle, the basics. Semin Cutan Med Surg 2006, 25: 2-10.

    Google Scholar 

  • Lambert IH: Regulation of the cellular content of the organic osmolyte taurine in mammalian cells. Neurochem Res 2004, 29: 27-63.

    Google Scholar 

  • Lang JM, Lucas CC: The analysis of hair keratin. Biochem J 1952, 52: 84-87.

    Google Scholar 

  • Lee LA, Baden HP: Chemistry and composition of keratins. Int J Dermatol 1974, 14: 161-171.

    Google Scholar 

  • Leigh SR: Evolution of human growth spurts. Am J Phys Ant 1996, 101: 455-474.

    Google Scholar 

  • Lemon PWR: Is increased dietary protein necessary or beneficial for individuals with physically active lifestyle? Nutr Rev 1996, 54: S169-S175.

    Google Scholar 

  • Leonard WR, Robertson ML, Snodgrass JJ, Kuzawa CW: Metabolic correlates of hominid brain evolution. Comp Biochem Physiol A 2003, 136: 5-15.

    Google Scholar 

  • Leonard WR, Snodgrass JJ, Robertson ML: Effects of brain evolution on human nutrition and metabolism. Annu Rev Nutr 2007, 27: 311-327.

    Google Scholar 

  • Lepage N, McDonald N, Dallaire L, Lambert M: Age-specific distribution of plasma amino acid concentrations in a healthy pediatric population. Clin Chem 1997, 43: 2397-2402.

    Google Scholar 

  • Liu P, Jing Y, Collie ND, Chary S, Zhang H: Memory-related changes in l-citrulline and agmatine in the rat brain. Hippocampus 2009, 19: 597-602.

    Google Scholar 

  • Lynfield YL: Effect of pregnancy on the human hair cycle. J Invest Dermatol 1960, 35: 323-327.

    Google Scholar 

  • MacKinnon PJ, Powell BC, Roger GE: Structure and expression of genes for a class of cysteine-rich proteins of the cuticle layers of differentiating wool and hair follicles. J Cell Biol 1990, 111: 2587-2600.

    Google Scholar 

  • Martin PT, Freeze HH: Glycobiology of neuromuscular disorders. Glycobiology 2003, 13: 67R-75R.

    Google Scholar 

  • Masukawa Y, Tsujimura H, Tanamachi H, Narita H, Imokawa G: Damage to human hair caused by repeated bleaching combined with daily weathering during daily life activities. Exogenus Dermatol 2004, 3: 273-281.

    Google Scholar 

  • McCullagh JSO, Tripp JA, Hedges REM: Carbon isotope analysis of bulk eratin and single amino acids from British and North American hair. Rapid Comm Mass Spectrom 2005, 19: 3227-3231.

    Google Scholar 

  • McManus ML, Churchwell KB, Strange K: Regulation of cell volume in health and disease. New Engl J Med 1995, 333: 1260-1266.

    Google Scholar 

  • Meisel A, Vega M: The biological standard of living (and its convergence) in Colombia, 1870–2003. A tropical success story. Econ Hum Biol 2007, 5: 100-122.

    Google Scholar 

  • Muthing J, Maurer U, Weber-Schurholz S: Glycosphingolipids of skeletal muscle, 2. Modulation of Ca2+-flux in triad membranes by gangliosides. Carbohydr Res 1998, 307: 147-157.

    Google Scholar 

  • Nagase S, Tsuchiya M, Matsui T, Shibuichi S, Tsujimura H, Masukawa Y, Satoh N, Itou T, Koike K, Tsujii K: Characterization of curved hair of Japanese women with reference to internal structures and amino acid composition. J Cosmet Sci 2008, 59: 317-332.

    Google Scholar 

  • Nagy KA, Girard IA, Brown TK: Energetics of free-ranging mammals, reptiles, and birds. Annu Rev Nutr 1999, 19: 247-277.

    Google Scholar 

  • Novak MA, Meyer JS: Alopecia, possible causes and treatments, particularly in captive nonhuman primates. Comp Med 2009, 59: 18-26.

    Google Scholar 

  • Paus R, Cotsarelis G: The biology of hair follicle. New Engl J Med 1999, 341: 491-497.

    Google Scholar 

  • Pencharz PB, Ball RO: Amino acids needs for early growth and development. J Nutr 2004, 134: 1566S-1568S.

    Google Scholar 

  • Pfefferle AD, Warner LR, Wang CW, Nielsen WJ, Babbitt CC, Fedrigo O, Wray GA: Comparative expression analysis of the phosphocreatine circuit in extant primates: Implications for human brain evolution. J Hum Evol 2011, 60: 205-212.

    Google Scholar 

  • Pfrimer K, Marchini JS, Cesarmoriguti J, Ferriolli E: Fed state protein turnover in healthy older persons under a usual protein-rich diet. J Food Sci 2009, 74: H112-H115.

    Google Scholar 

  • Polverini E, Rangaraj G, Libich DS, Boggs JM, Harauz G: Binding of the proline-rich segment of myelin basic protein to SH3 domains, spectroscopic, microarray, and modeling studies of ligand conformation and effects of posttranslational modifications. Biochemistry 2008, 47: 267-282.

    Google Scholar 

  • Potts R: Environmental hypotheses of hominin evolution. Am J Phys Ant 1998, 107(S27):93-136.

    Google Scholar 

  • Pritzker LB, Joshi S, Harauz G, Moscarello MA: Deimination of myelin basic protein. 2. Effect of methylation of MBP on its deimination by peptidylarginine deiminase. Biochemistry 2000, 39: 5382-5388.

    Google Scholar 

  • Raichle ME, Mintun MA: Brainwork and brain imaging. Annu Rev Neurosci 2006, 29: 449-476.

    Google Scholar 

  • Raichlen DA, Armstrong H, Lieberman DE: Calcaneus length determines running economy. Implications for endurance running performance in modern humans and Neandertals. J Hum Evol 2011, 60: 299-308.

    Google Scholar 

  • Randall VA, Ebling FJG: Seasonal changes in human hair growth. Br J Dermatol 1991, 124: 146-151.

    Google Scholar 

  • Reinstein E, Ciechanover A: Narrative review, protein degradation and human diseases, the ubiquitin connection. Ann Intern Med 2006, 145: 676-684.

    Google Scholar 

  • Ridsdale RA, Beniac DR, Tompkins TA, Moscarello MA, Harauz G: Three-dimensional structure of myelin basic protein. 2. Molecular modeling and considerations of predicted structures in multiple sclerosis. J Biol Chem 1997, 272: 4269-4275.

    Google Scholar 

  • Rogers GE: Hair follicle differentiation and regulation. Int J Dev Biol 2004, 48: 163-170.

    Google Scholar 

  • Rogers MA, Langbein L, Winter H, Ehmann C, Praetzel S, Korn B, Schweizer J: Characterization of a cluster of human high/ultrahigh sulfur keratin-associated protein genes embedded in the type I keratin gene domain on chromosome 17q12-21. J Biol Chem 2001, 276: 19440-19451.

    Google Scholar 

  • Rogers MA, Langbein L, Winter H, Beckmann I, Praetzel S, Schweizer J: Hair keratin associated proteins: characterization of a second high sulfur KAP gene domain on human chromosome 21. J Invest Dermatol 2004, 122: 147-158.

    Google Scholar 

  • Rogers MA, Winter H, Langbein L, Wollschlager A, Praetzel-Wunder S, Jave-Suarez LF, Schweizer J: Characterization of human KAP24.1, a cuticular hair keratin-associated protein with unusual amino-acid composition and repeat structure. J Invest Dermatol 2007, 127: 1197-1204.

    Google Scholar 

  • Rosenberg KR: The evolution of modern human childbirth. Am J Phys Ant 1992, 89: 89-124.

    Google Scholar 

  • Ruff C: Body size and body shape in early hominins: implications of the Gona pelvis. J Hum Evol 2010, 58: 166-178.

    Google Scholar 

  • Sass IO, Skladal D, Zelger B, Romani N, Utermann B: Trichothiodystrophy: quantification of cysteine in human hair and nails by application of sodium azide-dependent oxidation to cysteic acid. Arch Dermatol Res 2004, 296: 188-191.

    Google Scholar 

  • Schoeninger MJ, Moore J, Sept JM: Subsistence strategies of two “savanna” chimpanzee populations, the stable isotope evidence. Am J Primatol 1999, 49: 297-314.

    Google Scholar 

  • Sheffield-Moore M, Yeckel CW, Volpi E, Wolf SE, Morio B, Chinkes DL, Paddon-Jones D, Wolfe RR: Postexercise protein metabolism in older and younger men following moderate-intensity aerobic exercise. Am J Physiol-Endoc M 2004, 287: E513-E522.

    Google Scholar 

  • Shibuya K, Kudoh J, Obayashi I, Shimizu A, Sasaki T, Minoshima S, Shimizu N: Comparative genomics of the keratin-associated protein (KAP): gene clusters in human, chimpanzee, and baboon. Mamm Genome 2004, 15: 179-192.

    Google Scholar 

  • Shimomura Y, Aoki N, Rogers MA, Langbein L, Schweizer J, Ito M: hKAP1.6 and hKAP1.7, two novel human high sulfur keratin-associated proteins are expressed in the hair follicle cortex. J Invest Dermatol 2002, 118: 226-231.

    Google Scholar 

  • Sinclair R, Chapman A, Magee J: The lack of significant changes in scalp hair follicle density with advancing age. Br J Dermatol 2005, 152: 646-649.

    Google Scholar 

  • Speth JD: The Paleoanthropology and Archaeology of Big-Game Hunting. Springer, New York; 2010.

    Google Scholar 

  • Stanford CB: The hunting ecology of wild chimpanzees, implications for the evolutionary ecology of Pliocene hominids. Am Anthropol 1996, 98: 96-113.

    Google Scholar 

  • Stead LM, Brosnan JT, Brosnan ME, Vance DE, Jacobs RL: Is it time to reevaluate methyl balance in humans? Am J Clin Nutr 2006, 83: 5-10.

    Google Scholar 

  • Tarnopolsky M: Protein requirements for endurance athletes. Nutrition 2004, 20: 662-668.

    Google Scholar 

  • Varki A: Glycan-based interactions involving vertebrate sialic-acid-recognizing proteins. Nature 2007, 446: 1023-1029.

    Google Scholar 

  • Volek JS, Forsythe CE, Kraemer WJ: Nutritional aspects of women strength athletes. Br J Sports Med 2006, 40: 742-748.

    Google Scholar 

  • Wadey AL, Muyderman H, Kwek PT, Sims NR: Mitochondrial glutathione uptake, characterization in isolated brain mitochondria and astrocytes in culture. J Neurochem 2009, 109: 101-108.

    Google Scholar 

  • Washburn SL, McCown ER: Human Evolution, Biosocial Perspectives. Perspectives on Human Evolution, volume 4. Benjamin/Cummings Publishing, Menlo Park, Calif; 1978.

    Google Scholar 

  • Waterlow JC: Protein-energy malnutrition, the nature and the extent of the problem. Clin Nutr 1997, 16(suppl 1):3-9.

    Google Scholar 

  • Wheeler PE: The influence of the loss of functional body hair on the water budgets of early Hominids. J Hum Evol 1992, 23: 379-388.

    Google Scholar 

  • Wheeler PE: The environmental context of functional body hair loss in hominids (a reply to Amaral, 1996). J Hum Evol 1996, 30: 367-371.

    Google Scholar 

  • Wolfram LJ: Human hair, a unique physicochemical composite. J Am Acad Dermatol 2003, 48: S106-S114.

    Google Scholar 

  • Wood L, Mills M, Hatzenbuhlern N, Vogeli G: Serine-rich ultra-high sulfur protein gene expression in murine hair and skin during the hair cycle. J Biol Chem 1990, 265: 21375-21380.

    Google Scholar 

  • Wu G: Amino acids, metabolism, functions, and nutrition. Amino Acids 2009, 37: 1-17.

    Google Scholar 

  • Yahagi S, Shibuya K, Obayashi I, Masaki H, Kurata Y, Kudoh J, Shimizu N: Identification of two novel clusters of ultrahigh-sulfur keratin-associated protein genes on human chromosome 11. Biochem Biophys Res Comm 2004, 318: 655-664.

    Google Scholar 

  • Yu J, Yu DW, Checkla DM, Freedberg IM, Bertolino AP: Human hair keratins. J Invest Dermatol 1993, 101: 56S-59S.

    Google Scholar 

  • Zahn H, Gattner HG: Hair sulfur amino analysis. In Formation and Structure of Human Hair. Edited by: Jolles P, Zahn H, Hocker H. Basel: Birkhauser Verlag; 1997:239-258.

    Google Scholar 

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Dror, Y., Hopp, M. Hair for brain trade-off, a metabolic bypass for encephalization. SpringerPlus 3, 562 (2014). https://doi.org/10.1186/2193-1801-3-562

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