![\"A](\"\/\/media.nature.com\/w800\/magazine-assets\/d41586-019-00521-2\/d41586-019-00521-2_16462902.jpg\")
<\/div>\n<\/div>No. 348. Candid Portrait of a Woman on a Street Corner<\/i>\u00a0by Trent Parke (2013).<\/span>Credit: Trent Parke\/Magnum<\/p>\n<\/figcaption><\/figure>\n <\/p>\n <\/p>\n <\/p>\n Globally, the burden of depression and other mental-health conditions is on the rise. In North America and Europe alone, mental illness accounts for up to 40% of all years lost to disability. And molecular medicine, which has seen huge success in treating diseases such as cancer, has failed to stem the tide. Into that alarming context enters the thought-provoking\u00a0Good Reasons for Bad Feelings<\/i>, in which evolutionary psychiatrist Randolph Nesse offers insights that radically reframe psychiatric conditions.<\/p>\n In his view, the roots of mental illnesses, such as anxiety and depression, lie in essential functions that evolved as building blocks of adaptive behavioural and cognitive function. Furthermore, like the legs of thoroughbred racehorses \u2014 selected for length, but tending towards weakness \u2014 some dysfunctional aspects of mental function might have originated with selection for unrelated traits, such as cognitive capacity. Intrinsic vulnerabilities in the human mind could be a trade-off for optimizing unrelated features.<\/p>\n Similar ideas have surfaced before, in different contexts. Evolutionary biologists Stephen Jay Gould and Richard Lewontin, for example, critically examined the blind faith of \u2018adaptationist\u2019 evolutionary theorizing. Their classic 1979 paper \u2018The spandrels of San Marco and the Panglossian paradigm\u2019 challenged the idea that every aspect of an organism has been perfected by natural selection (S. J. Gould\u00a0et al<\/i>.\u00a0Proc. R. Soc. Lond. B<\/i>\u00a0205<\/b>, 581\u2013598; 1979<\/a>). Instead, like the curved triangles of masonry between arches supporting domes in medieval and Renaissance architecture, some parts are contingent structural by-products. These might have no discernible adaptive advantage, or might even be maladaptive. Gould and Lewontin\u2019s intuition has, to some extent, been vindicated by molecular genetics. Certain versions of the primitive immune-system protein complement 4A, for instance, evolved for reasons unrelated to mental function, and yet are associated with an\u00a0increased risk of schizophrenia<\/a>.<\/p>\n <\/p>\n Genetic trade-offs<\/strong><\/p>\n Decades earlier, the evolutionary theorist George C. Williams explored perhaps the most perplexing aspect of human biology: our inconvenient tendency to age and die. He suggested in 1957 that some of the genes that cause ageing evolved because they enhanced fitness early in life (G. C. Williams\u00a0Evolution<\/i>\u00a011<\/b>, 398\u2013411; 1957<\/a>). Such \u2018antagonistic pleiotropy\u2019 \u2014 in which a single gene controls at least one beneficial and one detrimental trait \u2014 suggests that the design of biological structures is a complex optimization problem involving multiple trade-offs. Emotions and other aspects of mental function are not like machine components, each with a set function; instead, they are embedded in complex overlapping biochemical pathways.<\/p>\n In 1994, Nesse teamed up with Williams for\u00a0Why We Get Sick<\/i>, a manifesto for \u201cDarwinian medicine\u201d. Their insights opened up new perspectives on the origins of diseases, arguing for \u2018proximate\u2019 causes (driven by anatomy, biochemistry and physiology) and higher-level \u2018ultimate\u2019 (evolutionary) causes. They noted that evolution selects for reproductive success rather than for health and happiness; hence, the existence of human diseases and disorders. They also detailed the contingent and sometimes \u2018irrational\u2019 nature of biological legacies, such as the nerves and blood vessels that run across the human eye\u2019s retinal surface. Cephalopod eyes don\u2019t have this \u2018flaw\u2019.<\/p>\n Good Reasons for Bad Feelings<\/i>\u00a0builds on these insights. Adopting an \u201cengineers\u2019 point of view\u201d on mental illnesses, Nesse suggests that anxiety, although apparently undesirable, is a design component with utility in certain situations \u2014 for instance, as a \u201csmoke detector\u201d for potentially life-threatening events. Depression might also perform adaptive functions. The psychiatrist Aubrey Lewis argued that by signalling distress, depression could prompt others into providing assistance through foraging and other activities. It has even been suggested that depressive behaviour in vervet monkeys (Chlorocebus pygerythrus<\/i>) evolved to signal loss of status, deflecting attacks from dominant males.<\/p>\n Yet, however functional its components when appropriately regulated, mental illnesses cause suffering, and evidence-based treatments are sparse. Indeed, the field has seen no significant pharmaceutical breakthroughs for many years. Biological causes remain elusive, and biomarkers non-existent.<\/p>\n Psychiatry as a field, meanwhile, quivers with theoretical uncertainty. It has not become a sub-speciality of neurology, as one might have expected if mental illness mapped directly to neural behaviour. And common genetic variations with large effects on mental disorders are elusive. The various incarnations of the American Psychiatric Association\u2019s\u00a0Diagnostic and Statistical Manual of Mental Disorders<\/i>(DSM<\/i>) have enabled diagnostic consistency and the objectification of mental illnesses. But the\u00a0DSM<\/i>\u00a0has resulted in overlapping diagnoses, and contrived symptom-cluster checklists. At times, it impinges on the territory of healthy mental function. Allen Frances, chair of the task force that wrote the manual\u2019s fourth edition in 1994, revolted against out-of-control mental diagnosis in his 2013 book\u00a0DSM: Saving Normal<\/i>.<\/p>\n From adaptive to maladaptive<\/strong><\/p>\n Nesse argues that evolutionary theory could foster therapeutic breakthroughs by providing a robust theoretical foundation for psychiatry. He posits that it might also help to prevent people from equating psychiatric symptoms with diseases and viewing extremes of emotion such as anxiety as disorders. Nesse also suggests that mental illnesses might result from the disruption of regulators that maintain equilibrium in the body, such as the endocrine system. The normally adaptive function of thoughts and emotions could, in such instances, become maladaptive.<\/p>\n The future success of clinical psychiatry might depend on an evolutionary framework being integrated with whole-genome sequence-data analysis; this could help to identify mutations predisposing people to mental illness. Given the small contributions of individual genes and the diverse mechanisms involved, this will demand analysis of the genomes of hundreds of thousands of people. As a result of the extensive and often paradoxical entanglement of genetic networks, future treatments might, by necessity, require mental circuits to be engineered to release them from hard-wired evolutionary constraints.<\/p>\n In\u00a0Theodicy<\/i>\u00a0(1710), German philosopher Gottfried Leibniz argued that God, being omniscient, must have created the best of all possible worlds. (Fifty years later, in his novel\u00a0Candide<\/i>, Voltaire lampooned Leibniz as Doctor Pangloss, who opined that faults in the world are necessary, like contrasting shadows in a painting.)<\/p>\n Ironic readings aside, the philosopher\u2019s optimism might now be shown to have rational echoes in contemporary science. As\u00a0Good Reasons for Bad Feelings<\/i>\u00a0boldly posits, many of the core dysfunctional components of mental illness ultimately help to make us human.<\/p>\n <\/p>\n <\/p>\n<\/div>\n Nature<\/span>\u00a0566<\/strong>, 180-181 (2019)<\/p>\n <\/p>\n <\/p>\n (\uc6d0\ubb38: \uc5ec\uae30<\/a>\ub97c \ud074\ub9ad\ud558\uc138\uc694~)<\/p>\n <\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":"Good Reasons for Bad Feelings: Insights From the Frontier of Evolutionary Psychiatry<\/b>\u00a0Randolph M. Nesse<\/i>\u00a0Dutton (2019)<\/h5>\n