Reference Citation Analysis: Find an Article, Find a Category, Find a Journal, Find a Scholar

For: Keaton JM, Gao C, Guan M, Hellwege JN, Palmer ND, Pankow JS, Fornage M, Wilson JG, Correa A, Rasmussen-Torvik LJ, Rotter JI, Chen YDI, Taylor KD, Rich SS, Wagenknecht LE, Freedman BI, Ng MCY, Bowden DW. Genome-wide interaction with the insulin secretion locus MTNR1B reveals CMIP as a novel type 2 diabetes susceptibility gene in African Americans. Genet Epidemiol 2018;42:559-570. [PMID: 29691896 PMCID: PMC6160319 DOI: 10.1002/gepi.22126] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 02/27/2018] [Accepted: 03/16/2018] [Indexed: 11/09/2022]

For:	Keaton JM, Gao C, Guan M, Hellwege JN, Palmer ND, Pankow JS, Fornage M, Wilson JG, Correa A, Rasmussen-Torvik LJ, Rotter JI, Chen YDI, Taylor KD, Rich SS, Wagenknecht LE, Freedman BI, Ng MCY, Bowden DW. Genome-wide interaction with the insulin secretion locus MTNR1B reveals CMIP as a novel type 2 diabetes susceptibility gene in African Americans. Genet Epidemiol 2018;42:559-570. [PMID: 29691896 PMCID: PMC6160319 DOI: 10.1002/gepi.22126] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 02/27/2018] [Accepted: 03/16/2018] [Indexed: 11/09/2022]

Number

Cited by Other Article(s)

Wieder N, Fried JC, Kim C, Sidhom EH, Brown MR, Marshall JL, Arevalo C, Dvela-Levitt M, Kost-Alimova M, Sieber J, Gabriel KR, Pacheco J, Clish C, Abbasi HS, Singh S, Rutter JC, Therrien M, Yoon H, Lai ZW, Baublis A, Subramanian R, Devkota R, Small J, Sreekanth V, Han M, Lim D, Carpenter AE, Flannick J, Finucane H, Haigis MC, Claussnitzer M, Sheu E, Stevens B, Wagner BK, Choudhary A, Shaw JL, Pablo JL, Greka A. FALCON systematically interrogates free fatty acid biology and identifies a novel mediator of lipotoxicity. Cell Metab 2023;35:887-905.e11. [PMID: 37075753 PMCID: PMC10257950 DOI: 10.1016/j.cmet.2023.03.018] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Revised: 02/21/2023] [Accepted: 03/27/2023] [Indexed: 04/21/2023]

Affiliation(s)

Nicolas Wieder Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA; Department of Neurology with Experimental Neurology and Berlin Institute of Health, Charité, 10117 Berlin, Germany
Juliana Coraor Fried Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
Choah Kim Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
Eriene-Heidi Sidhom Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA
Matthew R Brown Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Jamie L Marshall Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Carlos Arevalo Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Moran Dvela-Levitt Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA; The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel
Maria Kost-Alimova Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Jonas Sieber Department of Endocrinology, Metabolism and Cardiovascular Systems, University of Fribourg, Fribourg, Switzerland
Katlyn R Gabriel Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Julian Pacheco Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Clary Clish Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Hamdah Shafqat Abbasi Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Shantanu Singh Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Justine C Rutter Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02115, USA
Martine Therrien Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Haejin Yoon Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center for Cancer Research at Harvard, Boston, MA 02115, USA
Zon Weng Lai Harvard Chan Advanced Multiomics Platform, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
Aaron Baublis Harvard Chan Advanced Multiomics Platform, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
Renuka Subramanian Laboratory for Surgical and Metabolic Research, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
Ranjan Devkota Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Jonnell Small Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02115, USA; Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Vedagopuram Sreekanth Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Divisions of Renal Medicine and Engineering, Brigham and Women's Hospital, Boston, MA 02115, USA
Myeonghoon Han Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Donghyun Lim Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Anne E Carpenter Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Jason Flannick Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02115, USA; Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA 02115, USA
Hilary Finucane Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Analytic and Translational Genetics Unit, Mass General Hospital, Boston, MA 02114, USA
Marcia C Haigis Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA 02115, USA; Ludwig Center for Cancer Research at Harvard, Boston, MA 02115, USA
Melina Claussnitzer Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02115, USA; Metabolism Program, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Eric Sheu Laboratory for Surgical and Metabolic Research, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
Beth Stevens Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02115, USA; Boston Children's Hospital, F.M. Kirby Neurobiology Center, Boston, MA 02115, USA; Howard Hughes Medical Institute, Boston, MA 02115, USA
Bridget K Wagner Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Amit Choudhary Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Harvard Medical School, Boston, MA 02115, USA; Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Divisions of Renal Medicine and Engineering, Brigham and Women's Hospital, Boston, MA 02115, USA
Jillian L Shaw Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Juan Lorenzo Pablo Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA
Anna Greka Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA; Harvard Medical School, Boston, MA 02115, USA.

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Osman W, Mousa M, Albreiki M, Baalfaqih Z, Daggag H, Hill C, McKnight AJ, Maxwell AP, Al Safar H. A genome-wide association study identifies a possible role for cannabinoid signalling in the pathogenesis of diabetic kidney disease. Sci Rep 2023;13:4661. [PMID: 36949158 PMCID: PMC10033677 DOI: 10.1038/s41598-023-31701-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/11/2023] [Accepted: 03/16/2023] [Indexed: 03/24/2023] Open

Abstract

Diabetic kidney disease (DKD), also known as diabetic nephropathy, is the leading cause of renal impairment and end-stage renal disease. Patients with diabetes are at risk for DKD because of poor control of their blood glucose, as well as nonmodifiable risk factors including age, ethnicity, and genetics. This genome-wide association study (GWAS) was conducted for the first time in the Emirati population to investigate possible genetic factors associated with the development and progression of DKD. We included data on 7,921,925 single nucleotide polymorphism (SNPs) in 258 cases of type 2 diabetes mellitus (T2DM) who developed DKD and 938 control subjects with T2DM who did not develop DKD. GWAS suggestive results (P < 1 × 10-5) were further replicated using summary statistics from three cohorts with T2DM-induced DKD (Bio Bank Japan data, UK Biobank, and FinnGen Project data) and T1DM-induced DKD (UK-ROI cohort data from Belfast, UK). When conducting a multiple linear regression model for gene-set analyses, the CNR2 gene demonstrated genome-wide significance at 1.46 × 10-6. SNPs in CNR2 gene, encodes cannabinoid receptor 2 or CB2, were replicated in Japanese samples with the leading SNP rs2501391 showing a Pcombined = 9.3 × 10-7, and odds ratio = 0.67 in association with DKD associated with T2DM, but not with T1DM, without any significant association with T2DM itself. The allele frequencies of our cohort and those of the replication cohorts were in most cases markedly different. In addition, we replicated the association between rs1564939 in the GLRA3 gene and DKD in T2DM (P = 0.016, odds ratio = 0.54 per allele C). Our findings suggest evidence that cannabinoid signalling may be involved in the development of DKD through CB2, which is expressed in different kidney regions and known to be involved in insulin resistance, inflammation, and the development of kidney fibrosis.

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Wieder N, Fried JC, Kim C, Sidhom EH, Brown MR, Marshall JL, Arevalo C, Dvela-Levitt M, Kost-Alimova M, Sieber J, Gabriel KR, Pacheco J, Clish C, Abbasi HS, Singh S, Rutter J, Therrien M, Yoon H, Lai ZW, Baublis A, Subramanian R, Devkota R, Small J, Sreekanth V, Han M, Lim D, Carpenter AE, Flannick J, Finucane H, Haigis MC, Claussnitzer M, Sheu E, Stevens B, Wagner BK, Choudhary A, Shaw JL, Pablo JL, Greka A. FALCON systematically interrogates free fatty acid biology and identifies a novel mediator of lipotoxicity. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.02.19.529127. [PMID: 36865221 PMCID: PMC9979987 DOI: 10.1101/2023.02.19.529127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]

Abstract

Cellular exposure to free fatty acids (FFA) is implicated in the pathogenesis of obesity-associated diseases. However, studies to date have assumed that a few select FFAs are representative of broad structural categories, and there are no scalable approaches to comprehensively assess the biological processes induced by exposure to diverse FFAs circulating in human plasma. Furthermore, assessing how these FFA- mediated processes interact with genetic risk for disease remains elusive. Here we report the design and implementation of FALCON (Fatty Acid Library for Comprehensive ONtologies) as an unbiased, scalable and multimodal interrogation of 61 structurally diverse FFAs. We identified a subset of lipotoxic monounsaturated fatty acids (MUFAs) with a distinct lipidomic profile associated with decreased membrane fluidity. Furthermore, we developed a new approach to prioritize genes that reflect the combined effects of exposure to harmful FFAs and genetic risk for type 2 diabetes (T2D). Importantly, we found that c-MAF inducing protein (CMIP) protects cells from exposure to FFAs by modulating Akt signaling and we validated the role of CMIP in human pancreatic beta cells. In sum, FALCON empowers the study of fundamental FFA biology and offers an integrative approach to identify much needed targets for diverse diseases associated with disordered FFA metabolism.

Highlights

FALCON (Fatty Acid Library for Comprehensive ONtologies) enables multimodal profiling of 61 free fatty acids (FFAs) to reveal 5 FFA clusters with distinct biological effectsFALCON is applicable to many and diverse cell typesA subset of monounsaturated FAs (MUFAs) equally or more toxic than canonical lipotoxic saturated FAs (SFAs) leads to decreased membrane fluidityNew approach prioritizes genes that represent the combined effects of environmental (FFA) exposure and genetic risk for diseaseC-Maf inducing protein (CMIP) is identified as a suppressor of FFA-induced lipotoxicity via Akt-mediated signaling.

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Affiliation(s)

Nicolas Wieder Broad Institute of MIT and Harvard, Cambridge, USA Department of Medicine, Brigham and Women’s Hospital, Boston USA Harvard Medical School, Boston, USA Department of Neurology with Experimental Neurology, Charité, Berlin, Germany
Juliana Coraor Fried Broad Institute of MIT and Harvard, Cambridge, USA Department of Medicine, Brigham and Women’s Hospital, Boston USA Harvard Medical School, Boston, USA
Choah Kim Broad Institute of MIT and Harvard, Cambridge, USA Department of Medicine, Brigham and Women’s Hospital, Boston USA Harvard Medical School, Boston, USA
Eriene-Heidi Sidhom Broad Institute of MIT and Harvard, Cambridge, USA Department of Medicine, Brigham and Women’s Hospital, Boston USA Harvard Medical School, Boston, USA
Matthew R. Brown Broad Institute of MIT and Harvard, Cambridge, USA
Jamie L. Marshall Broad Institute of MIT and Harvard, Cambridge, USA
Carlos Arevalo Broad Institute of MIT and Harvard, Cambridge, USA
Moran Dvela-Levitt Broad Institute of MIT and Harvard, Cambridge, USA Department of Medicine, Brigham and Women’s Hospital, Boston USA Harvard Medical School, Boston, USA The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel
Maria Kost-Alimova Broad Institute of MIT and Harvard, Cambridge, USA
Jonas Sieber Department of Endocrinology, Metabolism and Cardiovascular Systems, University of Fribourg, Fribourg, Switzerland
Katlyn R. Gabriel Broad Institute of MIT and Harvard, Cambridge, USA
Julian Pacheco Broad Institute of MIT and Harvard, Cambridge, USA
Clary Clish Broad Institute of MIT and Harvard, Cambridge, USA
Hamdah Shafqat Abbasi Broad Institute of MIT and Harvard, Cambridge, USA
Shantanu Singh Broad Institute of MIT and Harvard, Cambridge, USA
Justine Rutter Broad Institute of MIT and Harvard, Cambridge, USA Harvard Medical School, Boston, USA
Martine Therrien Broad Institute of MIT and Harvard, Cambridge, USA
Haejin Yoon Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA Ludwig Center for Cancer Research at Harvard, Boston, MA 02115, USA
Zon Weng Lai Harvard Chan Advanced Multiomics Platform, Harvard T.H. Chan School of Public Health, Boston MA 02115 USA
Aaron Baublis Harvard Chan Advanced Multiomics Platform, Harvard T.H. Chan School of Public Health, Boston MA 02115 USA
Renuka Subramanian Laboratory for Surgical and Metabolic Research, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
Ranjan Devkota Broad Institute of MIT and Harvard, Cambridge, USA Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA, USA
Jonnell Small Broad Institute of MIT and Harvard, Cambridge, USA Harvard Medical School, Boston, USA Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA, USA
Vedagopuram Sreekanth Broad Institute of MIT and Harvard, Cambridge, USA Divisions of Renal Medicine and Engineering, Brigham and Women’s Hospital, Boston, MA, USA
Myeonghoon Han Broad Institute of MIT and Harvard, Cambridge, USA
Donghyun Lim Broad Institute of MIT and Harvard, Cambridge, USA
Anne E. Carpenter Broad Institute of MIT and Harvard, Cambridge, USA
Jason Flannick Broad Institute of MIT and Harvard, Cambridge, USA Harvard Medical School, Boston, USA Division of Genetics and Genomics, Boston Children’s Hospital, Boston, MA, USA
Hilary Finucane Broad Institute of MIT and Harvard, Cambridge, USA Analytic and Translational Genetics Unit, Mass General Hospital, Boston, MA, USA
Marcia C. Haigis Broad Institute of MIT and Harvard, Cambridge, USA Department of Cell Biology, Blavatnik Institute, Harvard Medical School, Boston, MA, USA Ludwig Center for Cancer Research at Harvard, Boston, MA 02115, USA
Melina Claussnitzer Broad Institute of MIT and Harvard, Cambridge, USA Harvard Medical School, Boston, USA Metabolism Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA
Eric Sheu Laboratory for Surgical and Metabolic Research, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
Beth Stevens Broad Institute of MIT and Harvard, Cambridge, USA Harvard Medical School, Boston, USA Boston Children’s Hospital, F.M. Kirby Neurobiology Center, Boston, MA, USA Howard Hughes Medical Institute, Boston, MA, USA
Bridget K. Wagner Broad Institute of MIT and Harvard, Cambridge, USA Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA, USA
Amit Choudhary Broad Institute of MIT and Harvard, Cambridge, USA Harvard Medical School, Boston, USA Chemical Biology and Therapeutics Science, Broad Institute of MIT and Harvard, Cambridge, MA, USA Divisions of Renal Medicine and Engineering, Brigham and Women’s Hospital, Boston, MA, USA
Jillian L. Shaw Broad Institute of MIT and Harvard, Cambridge, USA
Juan Lorenzo Pablo Broad Institute of MIT and Harvard, Cambridge, USA
Anna Greka Broad Institute of MIT and Harvard, Cambridge, USA Department of Medicine, Brigham and Women’s Hospital, Boston USA Harvard Medical School, Boston, USA Lead Contact

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Lamri A, De Paoli M, De Souza R, Werstuck G, Anand S, Pigeyre M. Insight into genetic, biological, and environmental determinants of sexual-dimorphism in type 2 diabetes and glucose-related traits. Front Cardiovasc Med 2022;9:964743. [PMID: 36505380 PMCID: PMC9729955 DOI: 10.3389/fcvm.2022.964743] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 10/21/2022] [Indexed: 11/25/2022] Open

Abstract

There is growing evidence that sex and gender differences play an important role in risk and pathophysiology of type 2 diabetes (T2D). Men develop T2D earlier than women, even though there is more obesity in young women than men. This difference in T2D prevalence is attenuated after the menopause. However, not all women are equally protected against T2D before the menopause, and gestational diabetes represents an important risk factor for future T2D. Biological mechanisms underlying sex and gender differences on T2D physiopathology are not yet fully understood. Sex hormones affect behavior and biological changes, and can have implications on lifestyle; thus, both sex-specific environmental and biological risk factors interact within a complex network to explain the differences in T2D risk and physiopathology in men and women. In addition, lifetime hormone fluctuations and body changes due to reproductive factors are generally more dramatic in women than men (ovarian cycle, pregnancy, and menopause). Progress in genetic studies and rodent models have significantly advanced our understanding of the biological pathways involved in the physiopathology of T2D. However, evidence of the sex-specific effects on genetic factors involved in T2D is still limited, and this gap of knowledge is even more important when investigating sex-specific differences during the life course. In this narrative review, we will focus on the current state of knowledge on the sex-specific effects of genetic factors associated with T2D over a lifetime, as well as the biological effects of these different hormonal stages on T2D risk. We will also discuss how biological insights from rodent models complement the genetic insights into the sex-dimorphism effects on T2D. Finally, we will suggest future directions to cover the knowledge gaps.

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Tanaka Y, Urayama KY, Mori M, Arakawa Y, Hasegawa D, Noguchi Y, Yanagimachi M, Keino D, Ota S, Akahane K, Inukai T, Hangai M, Kawaguchi T, Takagi M, Koh K, Matsuda F, Manabe A. Prominence of NUDT15 genetic variation associated with 6-mercaptopurine tolerance in a genome-wide association study of Japanese children with acute lymphoblastic leukaemia. Br J Haematol 2022;199:260-269. [PMID: 35961941 DOI: 10.1111/bjh.18405] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 07/30/2022] [Accepted: 08/01/2022] [Indexed: 12/01/2022]

Affiliation(s)

Yoichi Tanaka Division of Medical Safety Sciences, National Institute of Health Sciences, Kanagawa, Japan
Kevin Y Urayama Graduate School of Public Health, St. Luke's International University, Tokyo, Japan.,Department of Social Medicine, National Center for Child Health and Development, Tokyo, Japan
Makiko Mori Department of Hematology/Oncology, Saitama Children's Medical Center, Saitama, Japan
Yuki Arakawa Department of Hematology/Oncology, Saitama Children's Medical Center, Saitama, Japan
Daisuke Hasegawa Department of Pediatrics, St. Luke's International Hospital, Tokyo, Japan
Yasushi Noguchi Department of Pediatrics, Japanese Red Cross Narita Hospital, Chiba, Japan
Masakatsu Yanagimachi Department of Hematology/Oncology, Children's Cancer Center, Kanagawa Children's Medical Center, Kanagawa, Japan.,Department of Pediatrics, Yokohama City University Hospital, Kanagawa, Japan
Dai Keino Department of Hematology/Oncology, Children's Cancer Center, Kanagawa Children's Medical Center, Kanagawa, Japan.,Department of Pediatrics, St. Marianna University, Kanagawa, Japan
Setsuo Ota Department of Pediatrics, Teikyo University Chiba Medical Center, Chiba, Japan
Koshi Akahane Department of Pediatrics, University of Yamanashi, Yamanashi, Japan
Takeshi Inukai Department of Pediatrics, University of Yamanashi, Yamanashi, Japan
Mayumi Hangai Department of Social Medicine, National Center for Child Health and Development, Tokyo, Japan
Takahisa Kawaguchi Center for Genomic Medicine, Kyoto University, Kyoto, Japan
Masatoshi Takagi Department of Pediatrics, Tokyo Medical and Dental University, Tokyo, Japan
Katsuyoshi Koh Department of Hematology/Oncology, Saitama Children's Medical Center, Saitama, Japan
Fumihiko Matsuda Center for Genomic Medicine, Kyoto University, Kyoto, Japan
Atsushi Manabe Department of Pediatrics, Hokkaido University, Hokkaido, Japan

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Genetic variations in adiponectin levels and dietary patterns on metabolic health among children with normal weight versus obesity: the BCAMS study. Int J Obes (Lond) 2022;46:325-332. [PMID: 34716426 PMCID: PMC9131437 DOI: 10.1038/s41366-021-01004-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/18/2021] [Revised: 10/13/2021] [Accepted: 10/15/2021] [Indexed: 11/08/2022]

Abstract

BACKGROUND/OBJECTIVES

Adiponectin represents an important link between adipose tissue dysfunction and cardiometabolic risk in obesity; however, there is a lack of data on the effects of adiponectin-related genetic variations and gene-diet interactions on metabolic disorders in children. We aimed to investigate possible interactions between adiponectin-related genetic variants and habitual dietary patterns on metabolic health among children with normal weight versus overweight/obesity, and whether these effects in childhood longitudinally contribute to metabolic risk at follow-up.

SUBJECTS/METHODS

In total, 3,317 Chinese children aged 6-18 at baseline and 339 participants at 10-year follow-up from the Beijing Child and Adolescent Metabolic Syndrome study cohort were included. Baseline lifestyle factors, plasma adiponectin levels, and six adiponectin-related genetic variants resulting from GWAS in East Asians (loci in/near ADIPOQ, CDH13, WDR11FGF, CMIP, and PEPD) were assessed for their associations with the metabolic disorders. Being metabolically unhealthy was defined by exhibiting any metabolic syndrome component.

RESULTS

Among the six loci, ADIPOQ rs6773957 (OR 1.26, 95% CI:1.07-1.47, P = 0.004) and adiponectin receptor CDH13 rs4783244 (0.82, 0.69-0.96, P = 0.017) were correlated with metabolic risks independent of lifestyle factors in normal-weight children, but the associations were less obvious in those with overweight/obesity. A significant interaction between rs6773957 and diet (P_interaction = 0.004) for metabolic health was observed in normal-weight children. The adiponectin-decreasing allele of rs6773957 was associated with greater metabolic risks in individuals with unfavorable diet patterns (P < 0.001), but not in those with healthy patterns (P > 0.1). A similar interaction effect was observed using longitudinal data (P_interaction = 0.029).

CONCLUSIONS

These findings highlight a novel gene-diet interaction on the susceptibility to cardiometabolic disorders, which has a long-term impact from childhood onward, particularly in those with normal weight. Personalized dietary advice in these individuals may be recommended as an early possible therapeutic measure to improve metabolic health.

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Feng P, Zeng T, Yang H, Chen G, Du J, Chen L, Shen J, Tao Z, Wang P, Yang L, Lu L. Whole-genome resequencing provides insights into the population structure and domestication signatures of ducks in eastern China. BMC Genomics 2021;22:401. [PMID: 34058976 PMCID: PMC8165772 DOI: 10.1186/s12864-021-07710-2] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 05/12/2021] [Indexed: 01/03/2023] Open

The Enigmatic Emerging Role of the C-Maf Inducing Protein in Cancer. Diagnostics (Basel) 2021;11:diagnostics11040666. [PMID: 33917766 PMCID: PMC8068179 DOI: 10.3390/diagnostics11040666] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/04/2021] [Accepted: 04/05/2021] [Indexed: 11/17/2022] Open

Mori H, Takahashi H, Mine K, Higashimoto K, Inoue K, Kojima M, Kuroki S, Eguchi T, Ono Y, Inuzuka S, Soejima H, Nagafuchi S, Anzai K. TYK2 Promoter Variant Is Associated with Impaired Insulin Secretion and Lower Insulin Resistance in Japanese Type 2 Diabetes Patients. Genes (Basel) 2021;12:genes12030400. [PMID: 33799705 PMCID: PMC7999758 DOI: 10.3390/genes12030400] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2021] [Revised: 03/08/2021] [Accepted: 03/09/2021] [Indexed: 12/15/2022] Open

Affiliation(s)

Hitoe Mori Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (H.M.); (K.M.); (K.I.); (M.K.); (S.N.); (K.A.)
Hirokazu Takahashi Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (H.M.); (K.M.); (K.I.); (M.K.); (S.N.); (K.A.) Liver Center, Faculty of Medicine, Saga University Hospital, Saga University, Saga 849-8501, Japan Correspondence: ; Tel.: +81-952-34-3100; Fax: +81-952-34-2362
Keiichiro Mine Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (H.M.); (K.M.); (K.I.); (M.K.); (S.N.); (K.A.) Division of Host Defense, Medical Institute of Bioregulation, Kyushu University, Fukuoka 812-8582, Japan
Ken Higashimoto Divison of Molecular Genetics & Epigenetics, Department of Biomolecular Sciences, Faculty of Medicine, Saga 849-8501, Japan; (K.H.); (H.S.)
Kanako Inoue Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (H.M.); (K.M.); (K.I.); (M.K.); (S.N.); (K.A.)
Motoyasu Kojima Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (H.M.); (K.M.); (K.I.); (M.K.); (S.N.); (K.A.) Saiseikai Karatsu Hospital, Saga 847-0852, Japan
Shigetaka Kuroki Eguchi Hospital, Saga 845-0032, Japan; (S.K.); (T.E.)
Takahisa Eguchi Eguchi Hospital, Saga 845-0032, Japan; (S.K.); (T.E.)
Yasuhiro Ono Department of Internal Medicine, Kouhokai Takagi Hospital, Fukuoka 831-0016, Japan;
Sadataka Inuzuka Inuzuka Hospital, Saga 849-1311, Japan;
Hidenobu Soejima Divison of Molecular Genetics & Epigenetics, Department of Biomolecular Sciences, Faculty of Medicine, Saga 849-8501, Japan; (K.H.); (H.S.)
Seiho Nagafuchi Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (H.M.); (K.M.); (K.I.); (M.K.); (S.N.); (K.A.)
Keizo Anzai Division of Metabolism and Endocrinology, Faculty of Medicine, Saga University, Saga 849-8501, Japan; (H.M.); (K.M.); (K.I.); (M.K.); (S.N.); (K.A.)

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Gignoux-Wolfsohn SA, Pinsky ML, Kerwin K, Herzog C, Hall M, Bennett AB, Fefferman NH, Maslo B. Genomic signatures of selection in bats surviving white-nose syndrome. Mol Ecol 2021;30:5643-5657. [PMID: 33476441 DOI: 10.1111/mec.15813] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 01/13/2021] [Accepted: 01/14/2021] [Indexed: 02/06/2023]

Xiang R, Han X, Ding K, Wu Z. CMIP promotes Herceptin resistance of HER2 positive gastric cancer cells. Pathol Res Pract 2019;216:152776. [PMID: 31822364 DOI: 10.1016/j.prp.2019.152776] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/18/2019] [Revised: 11/20/2019] [Accepted: 12/01/2019] [Indexed: 01/16/2023]

Fawad A, Nilsson PM, Struck J, Bergmann A, Melander O, Bennet L. The association between plasma proneurotensin and glucose regulation is modified by country of birth. Sci Rep 2019;9:13640. [PMID: 31541150 PMCID: PMC6754414 DOI: 10.1038/s41598-019-50040-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2018] [Accepted: 09/05/2019] [Indexed: 12/13/2022] Open

Ueki M, Fujii M, Tamiya G. Quick assessment for systematic test statistic inflation/deflation due to null model misspecifications in genome-wide environment interaction studies. PLoS One 2019;14:e0219825. [PMID: 31318927 PMCID: PMC6638962 DOI: 10.1371/journal.pone.0219825] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2018] [Accepted: 07/02/2019] [Indexed: 12/03/2022] Open