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Reshetnikov E, Churnosova M, Reshetnikova Y, Stepanov V, Bocharova A, Serebrova V, Trifonova E, Ponomarenko I, Sorokina I, Efremova O, Orlova V, Batlutskaya I, Ponomarenko M, Churnosov V, Aristova I, Polonikov A, Churnosov M. Maternal Age at Menarche Genes Determines Fetal Growth Restriction Risk. Int J Mol Sci 2024; 25:2647. [PMID: 38473894 PMCID: PMC10932237 DOI: 10.3390/ijms25052647] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Revised: 02/06/2024] [Accepted: 02/14/2024] [Indexed: 03/14/2024] Open
Abstract
We aimed to explore the potential link of maternal age at menarche (mAAM) gene polymorphisms with risk of the fetal growth restriction (FGR). This case (FGR)-control (FGR free) study included 904 women (273 FGR and 631 control) in the third trimester of gestation examined/treated in the Departments of Obstetrics. For single nucleotide polymorphism (SNP) multiplex genotyping, 50 candidate loci of mAAM were chosen. The relationship of mAAM SNPs and FGR was appreciated by regression procedures (logistic/model-based multifactor dimensionality reduction [MB-MDR]) with subsequent in silico assessment of the assumed functionality pithy of FGR-related loci. Three mAAM-appertain loci were FGR-linked to genes such as KISS1 (rs7538038) (effect allele G-odds ratio (OR)allelic = 0.63/pperm = 0.0003; ORadditive = 0.61/pperm = 0.001; ORdominant = 0.56/pperm = 0.001), NKX2-1 (rs999460) (effect allele A-ORallelic = 1.37/pperm = 0.003; ORadditive = 1.45/pperm = 0.002; ORrecessive = 2.41/pperm = 0.0002), GPRC5B (rs12444979) (effect allele T-ORallelic = 1.67/pperm = 0.0003; ORdominant = 1.59/pperm = 0.011; ORadditive = 1.56/pperm = 0.009). The haplotype ACA FSHB gene (rs555621*rs11031010*rs1782507) was FRG-correlated (OR = 0.71/pperm = 0.05). Ten FGR-implicated interworking models were founded for 13 SNPs (pperm ≤ 0.001). The rs999460 NKX2-1 and rs12444979 GPRC5B interplays significantly influenced the FGR risk (these SNPs were present in 50% of models). FGR-related mAAM-appertain 15 polymorphic variants and 350 linked SNPs were functionally momentous in relation to 39 genes participating in the regulation of hormone levels, the ovulation cycle process, male gonad development and vitamin D metabolism. Thus, this study showed, for the first time, that the mAAM-appertain genes determine FGR risk.
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Affiliation(s)
- Evgeny Reshetnikov
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
| | - Maria Churnosova
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
| | - Yuliya Reshetnikova
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
| | - Vadim Stepanov
- Research Institute for Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634050 Tomsk, Russia; (V.S.); (A.B.); (V.S.); (E.T.)
| | - Anna Bocharova
- Research Institute for Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634050 Tomsk, Russia; (V.S.); (A.B.); (V.S.); (E.T.)
| | - Victoria Serebrova
- Research Institute for Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634050 Tomsk, Russia; (V.S.); (A.B.); (V.S.); (E.T.)
| | - Ekaterina Trifonova
- Research Institute for Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634050 Tomsk, Russia; (V.S.); (A.B.); (V.S.); (E.T.)
| | - Irina Ponomarenko
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
| | - Inna Sorokina
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
| | - Olga Efremova
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
| | - Valentina Orlova
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
| | - Irina Batlutskaya
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
| | - Marina Ponomarenko
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
| | - Vladimir Churnosov
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
| | - Inna Aristova
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
| | - Alexey Polonikov
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
- Department of Biology, Medical Genetics and Ecology and Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 305041 Kursk, Russia
| | - Mikhail Churnosov
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (E.R.); (M.C.); (Y.R.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (I.A.); (A.P.)
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Reshetnikova Y, Churnosova M, Stepanov V, Bocharova A, Serebrova V, Trifonova E, Ponomarenko I, Sorokina I, Efremova O, Orlova V, Batlutskaya I, Ponomarenko M, Churnosov V, Eliseeva N, Aristova I, Polonikov A, Reshetnikov E, Churnosov M. Maternal Age at Menarche Gene Polymorphisms Are Associated with Offspring Birth Weight. Life (Basel) 2023; 13:1525. [PMID: 37511900 PMCID: PMC10381708 DOI: 10.3390/life13071525] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 06/29/2023] [Accepted: 07/05/2023] [Indexed: 07/30/2023] Open
Abstract
In this study, the association between maternal age at menarche (AAM)-related polymorphisms and offspring birth weight (BW) was studied. The work was performed on a sample of 716 pregnant women and their newborns. All pregnant women underwent genotyping of 50 SNPs of AAM candidate genes. Regression methods (linear and Model-Based Multifactor Dimensionality Reduction (MB-MDR)) with permutation procedures (the indicator pperm was calculated) were used to identify the correlation between SNPs and newborn weight (transformed BW values were analyzed) and in silico bioinformatic examination was applied to assess the intended functionality of BW-associated loci. Four AAM-related genetic variants were BW-associated including genes such as POMC (rs7589318) (βadditive = 0.202/pperm = 0.015), KDM3B (rs757647) (βrecessive = 0.323/pperm = 0.005), INHBA (rs1079866) (βadditive = 0.110/pperm = 0.014) and NKX2-1 (rs999460) (βrecessive = -0.176/pperm = 0.015). Ten BW-significant models of interSNPs interactions (pperm ≤ 0.001) were identified for 20 polymorphisms. SNPs rs7538038 KISS1, rs713586 RBJ, rs12324955 FTO and rs713586 RBJ-rs12324955 FTO two-locus interaction were included in the largest number of BW-associated models (30% models each). BW-associated AAM-linked 22 SNPs and 350 proxy loci were functionally related to 49 genes relevant to pathways such as the hormone biosynthesis/process and female/male gonad development. In conclusion, maternal AMM-related genes polymorphism is associated with the offspring BW.
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Affiliation(s)
- Yuliya Reshetnikova
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
| | - Maria Churnosova
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
| | - Vadim Stepanov
- Research Institute for Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634050 Tomsk, Russia; (V.S.); (A.B.); (V.S.); (E.T.)
| | - Anna Bocharova
- Research Institute for Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634050 Tomsk, Russia; (V.S.); (A.B.); (V.S.); (E.T.)
| | - Victoria Serebrova
- Research Institute for Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634050 Tomsk, Russia; (V.S.); (A.B.); (V.S.); (E.T.)
| | - Ekaterina Trifonova
- Research Institute for Medical Genetics, Tomsk National Research Medical Center of the Russian Academy of Sciences, 634050 Tomsk, Russia; (V.S.); (A.B.); (V.S.); (E.T.)
| | - Irina Ponomarenko
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
| | - Inna Sorokina
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
| | - Olga Efremova
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
| | - Valentina Orlova
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
| | - Irina Batlutskaya
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
| | - Marina Ponomarenko
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
| | - Vladimir Churnosov
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
| | - Natalya Eliseeva
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
| | - Inna Aristova
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
| | - Alexey Polonikov
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
- Department of Biology, Medical Genetics and Ecology and Research Institute for Genetic and Molecular Epidemiology, Kursk State Medical University, 305041 Kursk, Russia
| | - Evgeny Reshetnikov
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
| | - Mikhail Churnosov
- Department of Medical Biological Disciplines, Belgorod State National Research University, 308015 Belgorod, Russia; (Y.R.); (M.C.); (I.P.); (I.S.); (O.E.); (V.O.); (I.B.); (M.P.); (V.C.); (N.E.); (I.A.); (A.P.); (E.R.)
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Haplotype of ESR1 and PPARD Genes Is Associated with Higher Anthropometric Changes in Han Chinese Obesity by Adjusting Dietary Factors-An 18-Month Follow-Up. Nutrients 2022; 14:nu14204425. [PMID: 36297109 PMCID: PMC9611750 DOI: 10.3390/nu14204425] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2022] [Revised: 10/11/2022] [Accepted: 10/12/2022] [Indexed: 11/05/2022] Open
Abstract
The obesity genetic effect may play a major role in obesogenic environment. A combined case-control and an 18-month follow-up were carried out, including a total of 311 controls and 118 obese cases. All participants were aged in the range of 20-55 y/o. The body mass index (BMI) of obese cases and normal controls was in the range of 27.0-34.9 and 18.5-23.9 kg/m2, respectively. The rs712221 on Estrogen receptor1 (ESR1) and rs2016520 on Peroxisome proliferator-activated receptor delta (PPARD) showed significant associations with obesity. The TT (odds ratio (OR): 2.42; 95% confidence interval (CI): 1.46-4.01) and TT/TC (OR: 2.80; 95% CI: 1.14-6.85) genotypes on rs712221 and rs2016520 had significantly higher obesity risks, respectively. Moreover, the synergic effect of these two risk SNPs (2-RGH) exhibited an almost geometrical increase in obesity risk (OR: 7.00; 95% CI: 2.23-21.99). Obese individuals with 2-RGH had apparently higher changes in BMI increase, body weight gain and dietary fiber intake but a lower total energy intake within the 18-month follow-up.
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Tan PY, Moore JB, Bai L, Tang G, Gong YY. In the context of the triple burden of malnutrition: A systematic review of gene-diet interactions and nutritional status. Crit Rev Food Sci Nutr 2022; 64:3235-3263. [PMID: 36222100 PMCID: PMC11000749 DOI: 10.1080/10408398.2022.2131727] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/03/2022]
Abstract
Genetic background interacts with dietary components to modulate nutritional health status. This study aimed to review the evidence for gene-diet interactions in all forms of malnutrition. A comprehensive systematic literature search was conducted through April 2021 to identify observational and intervention studies reporting the effects of gene-diet interactions in over-nutrition, under-nutrition and micronutrient status. Risk of publication bias was assessed using the Quality Criteria Checklist and a tool specifically designed for gene-diet interaction research. 167 studies from 27 populations were included. The majority of studies investigated single nucleotide polymorphisms (SNPs) in overnutrition (n = 158). Diets rich in whole grains, vegetables, fruits and low in total and saturated fats, such as Mediterranean and DASH diets, showed promising effects for reducing obesity risk among individuals who had higher genetic risk scores for obesity, particularly the risk alleles carriers of FTO rs9939609, rs1121980 and rs1421085. Other SNPs in MC4R, PPARG and APOA5 genes were also commonly studied for interaction with diet on overnutrition though findings were inconclusive. Only limited data were found related to undernutrition (n = 1) and micronutrient status (n = 9). The findings on gene-diet interactions in this review highlight the importance of personalized nutrition, and more research on undernutrition and micronutrient status is warranted.
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Affiliation(s)
- Pui Yee Tan
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
| | - J. Bernadette Moore
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
| | - Ling Bai
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
- School of Psychology, University of East Anglia, Norwich, United Kingdom
| | - GuYuan Tang
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
| | - Yun Yun Gong
- School of Food Science and Nutrition, Faculty of Environment, University of Leeds, Leeds, United Kingdom
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Bean Consumption Accounts for Differences in Body Fat and Waist Circumference: A Cross-Sectional Study of 246 Women. J Nutr Metab 2020; 2020:9140907. [PMID: 32587765 PMCID: PMC7294352 DOI: 10.1155/2020/9140907] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2020] [Revised: 04/30/2020] [Accepted: 05/07/2020] [Indexed: 01/31/2023] Open
Abstract
Beans and other legumes have multiple nutritional qualities that reduce the risk of many diseases. However, the link between legume intake and obesity remains unclear. Therefore, the present study was designed to examine the association between bean intake, body fat percentage (BF%), and waist circumference, in 246 women. BF% was measured using dual-energy X-ray absorptiometry (DXA). Bean intake was assessed using the Block Food Frequency Questionnaire and indexed using total cups of bean-based food items and also factor scores derived from a factor analysis showing adherence to a bean-based dietary pattern. Bean consumption was expressed as cups per 1000 kilocalories. R\egression results showed that the relationship between bean intake (total cups) and BF% was inverse and linear (F = 7.4, P=0.0069). Moreover, with bean consumption being divided into tertiles, there were mean differences across groups in BF% (F = 7.4, P=0.0008) and waist circumference (F = 4.2, P=0.0164). Specifically, women who consumed moderate or high amounts of beans had less body fat and smaller waists than those with low intakes. Similarly, using tertiles to categorize participants based on adherence to a bean-based dietary pattern, developed using factor analysis, those with low adherence had higher BF% (F = 7.9, P=0.0005) and larger waists (F = 4.5, P=0.0118) than their counterparts. The associations remained significant after adjusting for potential confounders. In conclusion, beans and other legumes seem to have dietary qualities that may be beneficial in the battle against obesity.
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Doo M, Kim Y. Obesity: interactions of genome and nutrients intake. Prev Nutr Food Sci 2015; 20:1-7. [PMID: 25866743 PMCID: PMC4391534 DOI: 10.3746/pnf.2015.20.1.1] [Citation(s) in RCA: 29] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Accepted: 12/15/2014] [Indexed: 12/23/2022] Open
Abstract
Obesity has become one of the major public health problems all over the world. Recent novel eras of research are opening for the effective management of obesity though gene and nutrient intake interactions because the causes of obesity are complex and multifactorial. Through GWASs (genome-wide association studies) and genetic variations (SNPs, single nucleotide polymorphisms), as the genetic factors are likely to determine individuals’ obesity predisposition. The understanding of genetic approaches in nutritional sciences is referred as “nutrigenomics”. Nutrigenomics explores the interaction between genetic factors and dietary nutrient intake on various disease phenotypes such as obesity. Therefore, this novel approach might suggest a solution for the effective prevention and treatment of obesity through individual genetic profiles and help improve health conditions.
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Affiliation(s)
- Miae Doo
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 120-750, Korea
| | - Yangha Kim
- Department of Nutritional Science and Food Management, Ewha Womans University, Seoul 120-750, Korea
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Obesidad: análisis etiopatogénico y fisiopatológico. ACTA ACUST UNITED AC 2013; 60:17-24. [DOI: 10.1016/j.endonu.2012.03.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2011] [Revised: 02/28/2012] [Accepted: 03/05/2012] [Indexed: 12/25/2022]
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