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<article xml:lang="en" article-type="review-article" dtd-version="1.4"><processing-meta base-tagset="archiving" mathml-version="3.0" table-model="xhtml" tagset-family="jats"><restricted-by>pmc</restricted-by></processing-meta><front><journal-meta><journal-id journal-id-type="nlm-ta">Philos Trans R Soc Lond B Biol Sci</journal-id><journal-id journal-id-type="iso-abbrev">Philos Trans R Soc Lond B Biol Sci</journal-id><journal-id journal-id-type="pmc-domain-id">136</journal-id><journal-id journal-id-type="pmc-domain">transb</journal-id><journal-id journal-id-type="nlm-id">7503623</journal-id><journal-id journal-id-type="publisher-id">RSTB</journal-id><journal-title-group><journal-title>Philosophical Transactions of the Royal Society B: Biological Sciences</journal-title></journal-title-group><issn pub-type="ppub">0962-8436</issn><issn pub-type="epub">1471-2970</issn><?publisher_abbrev royalsoc?><publisher><publisher-name>The Royal Society</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmcid">PMC10475868</article-id><article-id pub-id-type="pmcid-ver">PMC10475868.1</article-id><article-id pub-id-type="pmcaid">10475868</article-id><article-id pub-id-type="pmcaiid">10475868</article-id><article-id pub-id-type="pmid">37661743</article-id><article-id pub-id-type="doi">10.1098/rstb.2022.0205</article-id><article-id pub-id-type="publisher-id">rstb20220205</article-id><article-version article-version-type="pmc-version">1</article-version><article-categories><subj-group subj-group-type="discipline-codes"><compound-subject><compound-subject-part content-type="code">1001</compound-subject-part></compound-subject></subj-group><subj-group subj-group-type="subject-codes"><compound-subject><compound-subject-part content-type="code">197</compound-subject-part></compound-subject><compound-subject><compound-subject-part content-type="code">14</compound-subject-part></compound-subject></subj-group><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="type-of-publication"><subject>Opinion Piece</subject></subj-group></article-categories><title-group><article-title>Obesity and thinness: insights from genetics</article-title><alt-title alt-title-type="short">Obesity and thinness: insights from genetics</alt-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid" authenticated="true">http://orcid.org/0000-0001-7609-3504</contrib-id><name name-style="western"><surname>Farooqi</surname><given-names initials="S">Sadaf</given-names></name><xref rid="af1" ref-type="aff"/><role vocab="credit" vocab-identifier="http://credit.niso.org/" vocab-term="Conceptualization" vocab-term-identifier="http://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role><role vocab="credit" vocab-identifier="http://credit.niso.org/" vocab-term="Data curation" vocab-term-identifier="http://credit.niso.org/contributor-roles/data-curation/">Data curation</role><role vocab="credit" vocab-identifier="http://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="http://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role><role vocab="credit" vocab-identifier="http://credit.niso.org/" vocab-term="Investigation" vocab-term-identifier="http://credit.niso.org/contributor-roles/investigation/">Investigation</role><role vocab="credit" vocab-identifier="http://credit.niso.org/" vocab-term="Methodology" vocab-term-identifier="http://credit.niso.org/contributor-roles/methodology/">Methodology</role><role vocab="credit" vocab-identifier="http://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="http://credit.niso.org/contributor-roles/project-administration/">Project administration</role><email>isf20@cam.ac.uk</email></contrib><aff id="af1">
<addr-line>Wellcome-MRC Institute of Metabolic Science, <institution>Addenbrooke's Hospital</institution>, Box 289, Cambridge CB2 0QQ, <country>UK</country></addr-line>
</aff></contrib-group><author-notes><fn fn-type="other"><p>One contribution of 14 to a discussion meeting issue ‘<ext-link xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="http://dx.doi.org/10.1098/rstb/378/1888" ext-link-type="uri">Causes of obesity: theories, conjectures and evidence (Part II)</ext-link>’.</p></fn></author-notes><pub-date publication-format="print" date-type="pub"><day>23</day><month>10</month><year>2023</year><string-date>October 23, 2023</string-date></pub-date><pub-date publication-format="electronic" date-type="pub"><day>4</day><month>9</month><year>2023</year><string-date>September 4, 2023</string-date></pub-date><volume>378</volume><issue>1888</issue><issue-id pub-id-type="pmc-issue-id">444624</issue-id><issue-title><named-content content-type="issue-type">Discussion meeting</named-content> ‘Causes of obesity: theories, conjectures and evidence (Part II)’ <named-content content-type="editors">organized and edited by Thorkild I. A. Sørensen, John R. Speakman, Kevin D. Hall and David B. Allison</named-content></issue-title><elocation-id>20220205</elocation-id><history>
<date date-type="received"><day>15</day><month>3</month><year>2023</year><string-date>March 15, 2023</string-date></date>
<date date-type="accepted"><day>9</day><month>6</month><year>2023</year><string-date>June 9, 2023</string-date></date>
</history><pub-history><event event-type="pmc-release"><date><day>04</day><month>09</month><year>2023</year></date></event><event event-type="pmc-live"><date><day>05</day><month>09</month><year>2023</year></date></event><event event-type="pmc-last-change"><date iso-8601-date="2024-02-12 19:25:11.263"><day>12</day><month>02</month><year>2024</year></date></event></pub-history><permissions><copyright-statement>© 2023 The Authors.</copyright-statement><copyright-year>2023</copyright-year><license><ali:license_ref xmlns:ali="http://www.niso.org/schemas/ali/1.0/" specific-use="textmining" content-type="ccbylicense">https://creativecommons.org/licenses/by/4.0/</ali:license_ref><license-p>Published by the Royal Society under the terms of the Creative Commons Attribution License <ext-link xmlns:xlink="http://www.w3.org/1999/xlink" ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>, which permits unrestricted use, provided the original author and source are credited.</license-p></license></permissions><self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pmc-pdf" xlink:href="rstb.2022.0205.pdf"><?pdf-name rstb.2022.0205.pdf?><?pdf-size 357765?><?pdf-md5 ebda204f4d15d4cb656b55110dce640f?><?pdf-image-server-status NEVER_LOAD?><?pdf-cloudpmc-urn urn:app:1b97/10475868/ebda204f4d15/rstb.2022.0205.pdf?></self-uri><self-uri xmlns:xlink="http://www.w3.org/1999/xlink" content-type="pdf" xlink:href="rstb.2022.0205.pdf"/><abstract><p>Genetic disruption of key molecular components of the hypothalamic leptin–melanocortin pathway causes severe obesity in mice and humans. Physiological studies in people who carry these mutations have shown that the adipose tissue-derived hormone leptin primarily acts to defend against starvation. A lack of leptin causes an intense drive to eat and increases the rewarding properties of food, demonstrating that human appetite has a strong biological basis. Genetic studies in clinical- and population-based cohorts of people with obesity or thinness continue to provide new insights into the physiological mechanisms involved in weight regulation and identify molecular targets for weight loss therapy.</p><p>This article is part of a discussion meeting issue ‘Causes of obesity: theories, conjectures and evidence (Part II)’.</p></abstract><kwd-group><kwd>genetics</kwd><x xml:space="preserve">, </x><kwd>obesity</kwd><x xml:space="preserve">, </x><kwd>thinness</kwd><x xml:space="preserve">, </x><kwd>leptin</kwd><x xml:space="preserve">, </x><kwd>melanocortin</kwd><x xml:space="preserve">, </x><kwd>hyperphagia</kwd></kwd-group><custom-meta-group><custom-meta><meta-name>pmc-status-qastatus</meta-name><meta-value>0</meta-value></custom-meta><custom-meta><meta-name>pmc-status-live</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-status-embargo</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-status-released</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-open-access</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-olf</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-manuscript</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-legally-suppressed</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-has-pdf</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-has-supplement</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-pdf-only</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-suppress-copyright</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-is-real-version</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-is-scanned-article</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-preprint</meta-name><meta-value>no</meta-value></custom-meta><custom-meta><meta-name>pmc-prop-in-epmc</meta-name><meta-value>yes</meta-value></custom-meta><custom-meta><meta-name>pmc-license-ref</meta-name><meta-value>CC BY</meta-value></custom-meta><custom-meta><meta-name>cover-date</meta-name><meta-value>October 23, 2023</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="s1"><label>1<x xml:space="preserve">. </x></label><title>Introduction</title><p>Susceptibility to weight gain within a permissive, obesogenic environment is influenced by genetic factors. Studies in monozygotic twins raised separately have shown that the heritability of body weight (the proportion of phenotypic variation explained by genetic variation) is at least 40–70% [<xref rid="RSTB20220205C1" ref-type="bibr">1</xref>–<xref rid="RSTB20220205C3" ref-type="bibr">3</xref>]. Additionally, longitudinal studies of Danish children who were adopted found they have body weights that are comparable to their biological rather than to their adoptive parents with whom they share the childhood environment [<xref rid="RSTB20220205C4" ref-type="bibr">4</xref>,<xref rid="RSTB20220205C5" ref-type="bibr">5</xref>]. Moreover, in studies of identical twins provided with excess calories, Bouchard and colleagues showed that members of a twin pair gained similar amounts of weight, indicating that genetic factors influence our response to the amount of food consumed [<xref rid="RSTB20220205C6" ref-type="bibr">6</xref>]. Collectively, these studies have demonstrated that genetic factors influence body weight across the spectrum. We now know that genetic variation can cause severe obesity or increase the susceptibility to weight gain; similarly, there are variants that either protect against obesity or are associated with thinness [<xref rid="RSTB20220205C7" ref-type="bibr">7</xref>].</p><p>To date, several different approaches have been used to identify the genes that regulate human body weight. Studies in children with severe obesity led to the identification of genetic obesity syndromes that display Mendelian inheritance [<xref rid="RSTB20220205C8" ref-type="bibr">8</xref>]. Indeed, genetic testing for these conditions is now recommended as part of the clinical assessment of people with severe obesity that begins before the age of 5 years [<xref rid="RSTB20220205C9" ref-type="bibr">9</xref>]. These genetic obesity syndromes predominantly affect the development and/or function of the leptin–melanocortin pathway, which plays a pivotal role in weight regulation (<xref rid="RSTB20220205F1" ref-type="fig">figure 1</xref>).
<fig position="float" id="RSTB20220205F1" orientation="portrait"><label>Figure 1<x xml:space="preserve">. </x></label><caption><p>Genetic obesity syndromes affecting the leptin–melanocortin pathway. A schematic depicts the effects of leptin, a hormone released by adipose tissue, on neurons in the hypothalamus expressing the leptin receptor (LEPR). A fall in leptin activates neurons expressing Agouti Related Peptide (AGRP, green) to send the signal to eat in the fasted state. In the fed state, leptin stimulates neurons expressing Pro-opiomelanocortin (POMC, red). POMC is cleaved into smaller melanocortin peptides (α- and β-melanocyte stimulating hormone, MSH, red circles), which act as agonists at the Melanocortin 4 receptor (MC4R) expressed on downstream neurons (purple). Activation of MC4R sends the signal to decrease food intake. Pathogenic mutations and rare penetrant variants affecting the function of this circuit cause severe obesity.</p></caption><graphic xmlns:xlink="http://www.w3.org/1999/xlink" position="float" orientation="portrait" xlink:href="rstb20220205f01.jpg"><?image-name rstb20220205f01.jpg?><?image-size 105823?><?image-md5 777a9fe0eab612c006c97a575437abb4?><?image-image-server-status LOAD_COMPLETED?><?image-original-height 1103?><?image-original-width 2140?><?image-scaled-height 367?><?image-scaled-width 713?><?image-cloudpmc-urn urn:cdn:blobs/1b97/10475868/777a9fe0eab6/rstb20220205f01.jpg?><?thumb-name rstb20220205f01.gif?><?thumb-size 12622?><?thumb-md5 fb44cf63ba24dfec6a7ba39a3219c721?><?thumb-image-server-status NEVER_LOAD?><?thumb-scaled-height 80?><?thumb-scaled-width 155?><?thumb-cloudpmc-urn urn:cdn:blobs/1b97/10475868/fb44cf63ba24/rstb20220205f01.gif?></graphic></fig></p></sec><sec id="s2"><label>2<x xml:space="preserve">. </x></label><title>Leptin–melanocortin pathway and human energy homeostasis</title><p>Experimental studies in rodents showed that body weight is regulated by hypothalamic neurons that integrate hormonal signals from adipose tissue, such as leptin with short-term, meal-related neural and hormonal signals from the stomach and gastrointestinal tract including glucagon-like peptide-1 (GLP-1), Peptide YY and oxyntomodulin [<xref rid="RSTB20220205C10" ref-type="bibr">10</xref>]. The physiological effects of leptin are mediated through the leptin receptor, which is highly expressed in the hypothalamus, midbrain, hippocampus and other brain regions [<xref rid="RSTB20220205C11" ref-type="bibr">11</xref>]. In the arcuate nucleus of the hypothalamus, leptin stimulates the expression of pro-opiomelanocortin (POMC), a precursor peptide that is post-translationally processed to yield the melanocortin peptides α- and β-MSH (melanocyte stimulating hormone). In the pituitary gland, POMC is cleaved to yield adrenocorticotrophin (ACTH), which acts on the Melanocortin 2 receptor (MC2R) expressed on the adrenal gland to regulate production of cortisol. In the skin, melanocortin peptides regulate pigmentation by signalling through the Melanocortin 1 receptor (MC1R) and in the brain, α- and β-MSH activate signalling via MC4R to reduce food intake. In the fed state, leptin stimulates the expression of POMC and the firing of POMC neurons; POMC-derived peptides act as agonists at MC4R to decrease food intake [<xref rid="RSTB20220205C12" ref-type="bibr">12</xref>]. At the same time, leptin suppresses the activity of adjacent neurons expressing Agouti Related Peptide, which antagonizes signalling at the MC3 and MC4 receptors. As these neurons project to and receive inputs from other brain regions, disruption of the leptin–melanocortin pathway can affect behaviour, neuroendocrine function and autonomic function.</p></sec><sec id="s3"><label>3<x xml:space="preserve">. </x></label><title>Monogenic disorders cause severe obesity</title><p>Bi-allelic (homozygous or compound heterozygous) loss-of-function mutations in the genes encoding leptin and the leptin receptor cause hyperphagia, an intense drive to eat and severe obesity in the first year of life [<xref rid="RSTB20220205C13" ref-type="bibr">13</xref>,<xref rid="RSTB20220205C14" ref-type="bibr">14</xref>]. Administration of recombinant leptin to children with congenital leptin deficiency reversed hyperphagia and enhanced satiety, leading to substantial weight loss [<xref rid="RSTB20220205C15" ref-type="bibr">15</xref>,<xref rid="RSTB20220205C16" ref-type="bibr">16</xref>]. This work provided proof of principle that leptin is an essential regulator of human energy homeostasis and demonstrated that human eating behaviour is regulated by biological factors, rather than simply by volition. Leptin also regulates neural activation of dopaminergic neurons in mesolimbic brain regions to mediate the rewarding properties of food and drive food-seeking motivational behaviour in states of nutritional deprivation [<xref rid="RSTB20220205C17" ref-type="bibr">17</xref>]. Leptin administration in congenital leptin deficiency reversed T cell-mediated immune dysfunction and permitted the onset of puberty at an appropriate developmental stage [<xref rid="RSTB20220205C16" ref-type="bibr">16</xref>]. This work has shaped current understanding of how physiological states characterized by a fall in circulating leptin levels (starvation, the weight-reduced state), or by chronically low leptin levels (anorexia nervosa, disorders of adipose tissue development (lipodystrophies)), impact on immunity and reproduction.</p><p>Disruption of POMC and the enzyme that cleaves POMC, prohormone convertase 1 (PCSK1), also causes severe obesity with hypopigmentation (due to the loss of MC1R signalling) and cortisol deficiency (due to a lack of ACTH) [<xref rid="RSTB20220205C18" ref-type="bibr">18</xref>,<xref rid="RSTB20220205C19" ref-type="bibr">19</xref>]. Heterozygous loss-of-function mutations in MC4R are found in 5%–6% of patients with severe early onset obesity [<xref rid="RSTB20220205C20" ref-type="bibr">20</xref>] and at a frequency of approximately 1/330 in the general UK population, making this the commonest gene in which variants contribute to obesity [<xref rid="RSTB20220205C21" ref-type="bibr">21</xref>]. Heterozygous MC4R mutations are inherited in a co-dominant manner, with variable penetrance and expression [<xref rid="RSTB20220205C20" ref-type="bibr">20</xref>]. The clinical features of MC4R deficiency closely mirror those seen in mice [<xref rid="RSTB20220205C22" ref-type="bibr">22</xref>] and include hyperphagia, disproportionate hyperinsulinaemia, increased lean mass and increased linear growth [<xref rid="RSTB20220205C20" ref-type="bibr">20</xref>,<xref rid="RSTB20220205C23" ref-type="bibr">23</xref>]. Complete loss-of-function mutations have a larger impact on phenotype than partial loss-of-function mutations [<xref rid="RSTB20220205C24" ref-type="bibr">24</xref>]. A subset of <italic toggle="yes">MC4R</italic> variants found at 1–2% minor allele frequency in the population increase the presence of MC4Rs at the plasma membrane by accelerated recycling to the membrane or reduced receptor internalisation. These gain-of-function <italic toggle="yes">MC4R</italic> variants are associated with substantial protection from obesity and type 2 diabetes, with a 50% reduction in risk in homozygous variant carriers [<xref rid="RSTB20220205C25" ref-type="bibr">25</xref>]. These studies have highlighted the pivotal role of melanocortin tone in human weight regulation.</p><p>Alongside disorders that follow Mendelian inheritance, rare variants in multiple genes increase the risk of severe obesity in variant carriers. The characterization of these rare obesity-associated variants presents some challenges, but can be relevant for diagnostic and therapeutic purposes. For example, obesity-associated variants disrupt the secretion and/or function of 14 genes encoding Semaphorin-3 secreted proteins (<italic toggle="yes">SEMA3A-G)</italic>, their receptors (<italic toggle="yes">NEUROPILIN-1/2)</italic> and co-receptors (<italic toggle="yes">PLXNA1–4</italic>) involved in axon guidance [<xref rid="RSTB20220205C26" ref-type="bibr">26</xref>]. Deletion of these genes in zebrafish increased somatic growth, body weight and/or percentage body fat and in mice, and <italic toggle="yes">SEMA3</italic>s acting via <italic toggle="yes">NEUROPILIN-2</italic> were shown to orchestrate the development of Pomc neuronal projections extending from the arcuate to the paraventricular nucleus of the hypothalamus. Another example is provided by the transcriptional co-activator Steroid Receptor Coactivator-1 (SRC-1), which modulates the ability of leptin to regulate the transcription of POMC in the hypothalamus by directly interacting with a target of leptin receptor activation, phosphorylated STAT3. This mechanism is disrupted by human <italic toggle="yes">SRC-1</italic> variants expressed in cells and in mice, where the acute anorectic response to leptin administration is impaired [<xref rid="RSTB20220205C27" ref-type="bibr">27</xref>].</p></sec><sec id="s4"><label>4<x xml:space="preserve">. </x></label><title>Conclusion</title><p>Cumulatively, genetic studies in people with severe obesity have delineated multiple molecular control points for melanocortin signalling, directly informing the development of new targets for weight loss therapy. The function of this pathway is also impaired in a number of pleiotropic obesity syndromes (for example, Bardet-Beidl syndrome and pseudohypoparathyroidism) where learning difficulties and organ-specific abnormalities predominate [<xref rid="RSTB20220205C28" ref-type="bibr">28</xref>]. Informed by these mechanistic studies, successful phase 3 clinical trials have led to a second generation MC4R agonist being licensed in many countries for the treatment of several monogenic disorders (POMC, PCSK1, LEPR deficiencies and Bardet-Biedl Syndrome (BBS)) [<xref rid="RSTB20220205C29" ref-type="bibr">29</xref>,<xref rid="RSTB20220205C30" ref-type="bibr">30</xref>]. Clinical trials are ongoing in patients with rare penetrant variants in multiple other genes affecting the melanocortin pathway. Further work in cohorts with extreme phenotypes including persistent thinness is likely to provide insights into the mechanisms that regulate human body weight and may identify new targets for weight loss therapy.</p></sec></body><back><sec sec-type="data-availability" id="s5"><title>Data accessibility</title><p>This article has no additional data.</p></sec><sec id="s6"><title>Authors' contributions</title><p>S.F.: conceptualization, data curation, funding acquisition, investigation, methodology, project administration.</p></sec><sec sec-type="COI-statement" id="s7"><title>Conflict of interest declaration</title><p>I have received consultancy fees from several companies working on weight loss drugs, including Eli Lilly, Novo Nordisk and Rhythm Pharmaceuticals.</p></sec><sec id="s8"><title>Funding</title><p>I received no funding for this study.</p></sec><ref-list><title>References</title><ref id="RSTB20220205C1"><label>1<x xml:space="preserve">. </x></label><mixed-citation publication-type="journal"><person-group person-group-type="author"><string-name name-style="western"><surname>Allison</surname>
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