5
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The melatonin receptor 1B gene links circadian rhythms and type 2 diabetes mellitus: an evolutionary story

      review-article
      a , b , b , c , d , e , f , b , e
      Annals of Medicine
      Taylor & Francis
      Melatonin, MTNR1B, Type 2 diabetes mellitus, thrifty gene

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Disturbed circadian rhythms have been a risk factor for type 2 diabetes mellitus (T2DM). Melatonin is the major chronobiotic hormone regulating both circadian rhythm and glucose homeostasis. The rs10830963 (G allele) of the melatonin receptor 1B ( MTNR1B) gene has the strongest genetic associations with T2DM according to several genome-wide association studies. The MTNR1B rs10830963 G allele is also associated with disturbed circadian phenotypes and altered melatonin secretion, both factors that can elevate the risk of diabetes. Furthermore, evolutionary studies implied the presence of selection pressure and ethnic diversity in MTNR1B, which was consistent with the “thrifty gene” hypothesis in T2DM. The rs10830963 G risk allele is associated with delayed melatonin secretion onset in dim-light and prolonged duration of peak melatonin. This delayed melatonin secretion may help human ancestors adapt to famine or food shortages during long nights and early mornings and avoid nocturnal hypoglycemia but confers susceptibility to T2DM due to adequate energy intake in modern society. We provide new insight into the role of MTNR1B variants in T2DM via disturbed circadian rhythms from the perspective of the “thrifty gene” hypothesis; these data indicate a novel target for the prevention and treatment of susceptible populations with the thrifty genotype.

          Related collections

          Most cited references234

          • Record: found
          • Abstract: found
          • Article: not found

          Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis.

          By combining genome-wide association data from 8,130 individuals with type 2 diabetes (T2D) and 38,987 controls of European descent and following up previously unidentified meta-analysis signals in a further 34,412 cases and 59,925 controls, we identified 12 new T2D association signals with combined P<5x10(-8). These include a second independent signal at the KCNQ1 locus; the first report, to our knowledge, of an X-chromosomal association (near DUSP9); and a further instance of overlap between loci implicated in monogenic and multifactorial forms of diabetes (at HNF1A). The identified loci affect both beta-cell function and insulin action, and, overall, T2D association signals show evidence of enrichment for genes involved in cell cycle regulation. We also show that a high proportion of T2D susceptibility loci harbor independent association signals influencing apparently unrelated complex traits.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Fine-mapping type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome maps

            We expanded GWAS discovery for type 2 diabetes (T2D) by combining data from 898,130 European-descent individuals (9% cases), after imputation to high-density reference panels. With these data, we (i) extend the inventory of T2D-risk variants (243 loci, 135 newly implicated in T2D predisposition, comprising 403 distinct association signals); (ii) enrich discovery of lower-frequency risk alleles (80 index variants with minor allele frequency 2); (iii) substantially improve fine-mapping of causal variants (at 51 signals, one variant accounted for >80% posterior probability of association (PPA)); (iv) extend fine-mapping through integration of tissue-specific epigenomic information (islet regulatory annotations extend the number of variants with PPA >80% to 73); (v) highlight validated therapeutic targets (18 genes with associations attributable to coding variants); and (vi) demonstrate enhanced potential for clinical translation (genome-wide chip heritability explains 18% of T2D risk; individuals in the extremes of a T2D polygenic risk score differ more than ninefold in prevalence).
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Inference of Human Population History From Whole Genome Sequence of A Single Individual

              The history of human population size is important to understanding human evolution. Various studies 1-5 have found evidence for a founder event (bottleneck) in East Asian and European populations associated with the human dispersal out-of-Africa event around 60 thousand years ago (kya) before present. However, these studies have to assume simplified demographic models with few parameters and do not precisely date the start and stop times of the bottleneck. Here, with fewer assumptions on population size changes, we present a more detailed history of human population sizes between approximately ten thousand to a million years ago, using the pairwise sequentially Markovian coalescent (PSMC) model applied to the complete diploid genome sequences of a Chinese male (YH) 6 , a Korean male (SJK) 7 , three European individuals (Venter 8 , NA12891 and NA12878 9 ) and two Yoruba males (NA18507 10 and NA19239). We infer that European and Chinese populations had very similar population size histories before 10–20kya. Both populations experienced a severe bottleneck between 10–60kya while African populations experienced a milder bottleneck from which they recovered earlier. All three populations have an elevated effective population size between 60–250kya, possibly due to a population structure 11 . We also infer that the differentiation of genetically modern humans may have started as early as 100–120kya 12 , but considerable genetic exchanges may still have occurred until 20–40kya.
                Bookmark

                Author and article information

                Journal
                Ann Med
                Ann Med
                Annals of Medicine
                Taylor & Francis
                0785-3890
                1365-2060
                28 March 2023
                2023
                28 March 2023
                : 55
                : 1
                : 1262-1286
                Affiliations
                [a ]Department of Internal Medicine, Health Science Center, Ningbo University , Ningbo, Zhejiang, P. R. China
                [b ]School of Public Health, Health Science Center, Ningbo University , Ningbo, Zhejiang, P. R. China
                [c ]Center for Reproductive Medicine, Ningbo Women and Children’s Hospital , Ningbo, Zhejiang, P. R. China
                [d ]Department of Ophthalmology, Affiliated People’s Hospital of Ningbo University , Ningbo, Zhejiang, P. R. China
                [e ]Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, Health Science Center , Ningbo, Zhejiang, P. R. China
                [f ]Zhejiang Key Laboratory of Pathophysiology, Health Science Center, Ningbo University , Ningbo, Zhejiang, P. R. China
                Author notes
                CONTACT Jin Xu xujin1@ 123456nbu.edu.cn School of Public Health, Health Science Center, Ningbo University , Ningbo, Zhejiang 315211, P. R. China;
                Lin-dan Ji jilindan@ 123456nbu.edu.cn Department of Biochemistry and Molecular Biology, School of Basic Medical Sciences, School of Medicine , Ningbo, Zhejiang 315211, P. R. China
                Author information
                https://orcid.org/0000-0002-3159-8549
                Article
                2191218
                10.1080/07853890.2023.2191218
                10054309
                36974476
                7df1ac5e-e8c0-44d5-914e-2f572ed15462
                © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group

                This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.

                History
                Page count
                Figures: 7, Tables: 3, Pages: 25, Words: 16634
                Categories
                Review Article
                Endocrinology

                Medicine
                melatonin,mtnr1b,type 2 diabetes mellitus,thrifty gene
                Medicine
                melatonin, mtnr1b, type 2 diabetes mellitus, thrifty gene

                Comments

                Comment on this article