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Zhou Q, Li H, Cheng Y, Ma X, Tang S, Tang C. Pax-8: Molecular biology, pathophysiology, and potential pathogenesis. Biofactors 2024; 50:408-421. [PMID: 37988248 DOI: 10.1002/biof.2016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Accepted: 10/21/2023] [Indexed: 11/23/2023]
Abstract
Transcription factors, as the convergence points of multiple signaling pathways in eukaryotic cells, are closely involved in disease development. Pax-8, an important transcription factor belonging to the Pax family, exerts a crucial influence on the regulation of gene expression required for both physiological conditions and pathological processes. Pax-8 contributes to the pathogenesis of many human diseases, ranging from cardiovascular disease to many cancers, and therefore, it can be imagined that Pax-8 holds great therapeutic potential. In this review, we summarize the structure, distribution, function, and regulatory mechanisms of Pax-8 to provide a new research direction for Pax-8.
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Affiliation(s)
- Qinyi Zhou
- Institute of Cardiovascular Disease, Key Laboratory for Arteriosclerology of Hunan Province, Hunan International Scientific and Technological Cooperation Base of Arteriosclerotic Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, China
- Department of Cardiology, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Heng Li
- Institute of Cardiovascular Disease, Key Laboratory for Arteriosclerology of Hunan Province, Hunan International Scientific and Technological Cooperation Base of Arteriosclerotic Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Yaqiong Cheng
- Institute of Cardiovascular Disease, Key Laboratory for Arteriosclerology of Hunan Province, Hunan International Scientific and Technological Cooperation Base of Arteriosclerotic Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Xiaofeng Ma
- Department of Cardiology, The Affiliated Nanhua Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Shilin Tang
- Department of Critical Care Medicine, the First Affiliated Hospital, Hengyang Medical School, University of South China, Hengyang, Hunan, China
| | - Chaoke Tang
- Institute of Cardiovascular Disease, Key Laboratory for Arteriosclerology of Hunan Province, Hunan International Scientific and Technological Cooperation Base of Arteriosclerotic Disease, Hengyang Medical School, University of South China, Hengyang, Hunan, China
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Zhang Z, Chen Y, Fu X, Chen L, Wang J, Zheng Q, Zhang S, Zhu X. Identification of PPARG as key gene to link coronary atherosclerosis disease and rheumatoid arthritis via microarray data analysis. PLoS One 2024; 19:e0300022. [PMID: 38573982 PMCID: PMC10994321 DOI: 10.1371/journal.pone.0300022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2023] [Accepted: 02/20/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Inflammation is the common pathogenesis of coronary atherosclerosis disease (CAD) and rheumatoid arthritis (RA). Although it is established that RA increases the risk of CAD, the underlining mechanism remained indefinite. This study seeks to explore the molecular mechanisms of RA linked CAD and identify potential target gene for early prediction of CAD in RA patients. MATERIALS AND METHODS The study utilized five raw datasets: GSE55235, GSE55457, GSE12021 for RA patients, and GSE42148 and GSE20680 for CAD patients. Gene Set Enrichment Analysis (GSEA) was used to investigate common signaling pathways associated with RA and CAD. Then, weighted gene co-expression network analysis (WGCNA) was performed on RA and CAD training datasets to identify gene modules related to single-sample GSEA (ssGSEA) scores. Overlapping module genes and differentially expressed genes (DEGs) were considered as co-susceptible genes for both diseases. Three hub genes were screened using a protein-protein interaction (PPI) network analysis via Cytoscape plug-ins. The signaling pathways, immune infiltration, and transcription factors associated with these hub genes were analyzed to explore the underlying mechanism connecting both diseases. Immunohistochemistry and qRT-PCR were conducted to validate the expression of the key candidate gene, PPARG, in macrophages of synovial tissue and arterial walls from RA and CAD patients. RESULTS The study found that Fc-gamma receptor-mediated endocytosis is a common signaling pathway for both RA and CAD. A total of 25 genes were screened by WGCNA and DEGs, which are involved in inflammation-related ligand-receptor interactions, cytoskeleton, and endocytosis signaling pathways. The principal component analysis(PCA) and support vector machine (SVM) and receiver-operator characteristic (ROC) analysis demonstrate that 25 DEGs can effectively distinguish RA and CAD groups from normal groups. Three hub genes TUBB2A, FKBP5, and PPARG were further identified by the Cytoscape software. Both FKBP5 and PPARG were downregulated in synovial tissue of RA and upregulated in the peripheral blood of CAD patients and differential mRNAexpreesion between normal and disease groups in both diseases were validated by qRT-PCR.Association of PPARG with monocyte was demonstrated across both training and validation datasets in CAD. PPARG expression is observed in control synovial epithelial cells and foamy macrophages of arterial walls, but was decreased in synovial epithelium of RA patients. Its expression in foamy macrophages of atherosclerotic vascular walls exhibits a positive correlation (r = 0.6276, p = 0.0002) with CD68. CONCLUSION Our findings suggest that PPARG may serve as a potentially predictive marker for CAD in RA patients, which provides new insights into the molecular mechanism underling RA linked CAD.
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Affiliation(s)
- Zhenzhen Zhang
- Department of Pathology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Pathology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Yupeng Chen
- Department of Pathology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Pathology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Xiaodan Fu
- Department of Pathology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Pathology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Linying Chen
- Department of Pathology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Pathology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Junlan Wang
- Department of Pathology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Pathology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Qingqiang Zheng
- Department of Pathology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Pathology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Sheng Zhang
- Department of Pathology, The First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
- Department of Pathology, National Regional Medical Center, Binhai Campus of the First Affiliated Hospital, Fujian Medical University, Fuzhou, China
| | - Xia Zhu
- Department of Bone Tumor, The Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, China
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Yuan M, Zheng X, Jing J, Li Y, Liu N, Song Y. Genetic associations between gene polymorphisms on 3p25 and oral squamous cell carcinoma. Oral Dis 2024; 30:1018-1031. [PMID: 36680374 DOI: 10.1111/odi.14514] [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: 10/26/2022] [Revised: 12/14/2022] [Accepted: 01/17/2023] [Indexed: 01/22/2023]
Abstract
OBJECTIVES To evaluate the association of SYN2, PPARG, RAF1, TIMP4, and IQSEC1 polymorphisms in 3p25 with oral squamous cell carcinoma (OSCC) in the Chinese Han population. SUBJECTS AND METHODS Genomic DNA was extracted from 494 subjects with or without OSCC. Basic information on the subjects, clinical data, and prognoses were collected. Fifteen candidate single nucleotide polymorphisms (SNPs) were selected and genotyped. The statistical analyses included descriptive statistics, logistic regression, survival, and functional annotation was performed. RESULTS IQSEC1-rs2686742 correlated with OSCC occurrence. In addition, RAF1-rs1051208, PPARG-rs10865710, PPARG-rs3856806, IQSEC1-rs2686742, PPARG-rs1175544, IQSEC1-rs9211, and IQSEC1-rs2600322 were significantly associated with the clinical characteristics of patients with OSCC. The log-rank test showed that IQSEC1-rs2600322 may play an important role in the survival of patients with OSCC. The Cox regression analysis suggested that PPARG-rs10865710, PPARG-rs7649970, IQSEC1-rs9211, IQSEC1-rs2600322, and IQSEC1-rs12487715 influenced survival outcomes. The functional annotation indicated that the transcript levels of IQSEC1 were upregulated in head and neck squamous cell carcinoma tissues, whereas PPARG gene transcription was downregulated. CONCLUSIONS IQSEC1-rs2686742 may be closely associated with OSCC onset. Multiple SNPs in IQSEC1 and PPARG genes correlated with the clinical characteristics of OSCC, among which PPARG-rs10865710, IQSEC1-rs9211, and IQSEC1-rs2600322 were associated with cancer prognosis.
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Affiliation(s)
- Minyan Yuan
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Xueqing Zheng
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Jiaojiao Jing
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China
- Department of Pediatric Dentistry, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China
| | - Yang Li
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Nianke Liu
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China
| | - Yaling Song
- The State Key Laboratory Breeding Base of Basic Science of Stomatology (Hubei-MOST) & Key Laboratory of Oral Biomedicine Ministry of Education, School & Hospital of Stomatology, Wuhan University, Wuhan, China
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Pokushalov E, Ponomarenko A, Bayramova S, Garcia C, Pak I, Shrainer E, Voronina E, Sokolova E, Johnson M, Miller R. Evaluating the Impact of Omega-3 Fatty Acid (Soloways TM) Supplementation on Lipid Profiles in Adults with PPARG Polymorphisms: A Randomized, Double-Blind, Placebo-Controlled Trial. Nutrients 2023; 16:97. [PMID: 38201926 PMCID: PMC10780403 DOI: 10.3390/nu16010097] [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: 12/05/2023] [Revised: 12/19/2023] [Accepted: 12/26/2023] [Indexed: 01/12/2024] Open
Abstract
Emerging evidence suggests that PPARG gene polymorphisms may influence lipid metabolism and cardiovascular risk, with omega-3 fatty acids proposed to modulate these effects. This study aims to assess the effects of fish oil supplementation on cardiovascular markers among adults with PPARG gene polymorphisms in a randomized, double-blind, placebo-controlled trial. A cohort of 102 patients with LDL-C 70-190 mg/dL was randomized to receive either 2000 mg of omega-3 fatty acids or a placebo daily for 90 days. In the omega-3 group with PPARG polymorphisms, LDL-C was reduced by 15.4% (95% CI: -19.8% to -11.0%), compared with a 2.6% decrease in the placebo group (95% CI: -4.1% to -1.1%; p < 0.01). In the omega-3 group without PPARG polymorphisms, LDL-C was reduced by 3.7% (95% CI: -6.9% to -0.6%), not significantly different from the placebo group's reduction of 2.9% (95% CI: -5.1% to -0.8%; p = 0.28). The reduction in LDL-C was notably 11.7% greater in those with PPARG polymorphisms than in those without (95% CI: -19.3% to -4.0%; p < 0.01). Triglycerides decreased by 21.3% in omega-3 recipients with PPARG polymorphisms (95% CI: -26.5% to -16.2%; p < 0.01), with no significant changes in HDL-C, total cholesterol, or hsCRP levels in any groups. Minor allele frequencies and baseline characteristics were comparable, ensuring a balanced genetic representation. Omega-3 fatty acids significantly reduce LDL-C and triglycerides in carriers of PPARG polymorphisms, underlining the potential for genetic-driven personalization of cardiovascular interventions.
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Affiliation(s)
- Evgeny Pokushalov
- Center for New Medical Technologies, 630090 Novosibirsk, Russia; (A.P.); (S.B.); (I.P.); (E.S.)
- Scientific Research Laboratory, Triangel Scientific, San Francisco, CA 94101, USA; (C.G.)
| | - Andrey Ponomarenko
- Center for New Medical Technologies, 630090 Novosibirsk, Russia; (A.P.); (S.B.); (I.P.); (E.S.)
| | - Sevda Bayramova
- Center for New Medical Technologies, 630090 Novosibirsk, Russia; (A.P.); (S.B.); (I.P.); (E.S.)
| | - Claire Garcia
- Scientific Research Laboratory, Triangel Scientific, San Francisco, CA 94101, USA; (C.G.)
| | - Inessa Pak
- Center for New Medical Technologies, 630090 Novosibirsk, Russia; (A.P.); (S.B.); (I.P.); (E.S.)
| | - Evgenya Shrainer
- Center for New Medical Technologies, 630090 Novosibirsk, Russia; (A.P.); (S.B.); (I.P.); (E.S.)
| | - Elena Voronina
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia; (E.V.); (E.S.)
| | - Ekaterina Sokolova
- Institute of Chemical Biology and Fundamental Medicine, Siberian Branch of the Russian Academy of Sciences, 630090 Novosibirsk, Russia; (E.V.); (E.S.)
| | - Michael Johnson
- Scientific Research Laboratory, Triangel Scientific, San Francisco, CA 94101, USA; (C.G.)
| | - Richard Miller
- Scientific Research Laboratory, Triangel Scientific, San Francisco, CA 94101, USA; (C.G.)
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Zhang Y, Chen L, Zhu J, Liu H, Xu L, Wu Y, He C, Song Y. Minor alleles of FTO rs9939609 and rs17817449 polymorphisms confer a higher risk of type 2 diabetes mellitus and dyslipidemia, but not coronary artery disease in a Chinese Han population. Front Endocrinol (Lausanne) 2023; 14:1249070. [PMID: 38161971 PMCID: PMC10754952 DOI: 10.3389/fendo.2023.1249070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 11/17/2023] [Indexed: 01/03/2024] Open
Abstract
Background Relationships of the polymorphisms in fat mass and obesity-associated gene (FTO) and peroxisome proliferator-activated receptor delta gene (PPARD) with metabolic-related diseases remain to be clarified. Methods One thousand three hundred and eighty-one subjects were enrolled. Metabolic-related diseases including obesity, dyslipidemia, hyperhomocysteinemia, hyperuricemia, hypertension, type 2 diabetes mellitus (T2DM) and coronary artery disease (CAD) were defined based on diagnostic criteria. FTO rs9939609 and rs17817449, and PPARD rs2016520 and rs2267668 polymorphisms were genotyped by using polymerase chain reaction-restricted fragment length polymorphism method. Results Patients with T2DM or dyslipidemia had a higher frequency of AA, AT or AA + AT genotypes as well as A allele of FTO rs9939609 polymorphism than those free of T2DM or dyslipidemia (P ≤ 0.04 for all). Patients with T2DM or dyslipidemia had a higher frequency of GG, GT or GG + GT genotypes as well as G allele of FTO rs17817449 polymorphism than those free of T2DM or dyslipidemia (P ≤ 0.03 for all). Multivariate logistic regression analyses showed that FTO rs9939609 and rs17817449 polymorphisms were independently associated with T2DM as well as dyslipidemia after adjustment for age, sex, smoking and other metabolic diseases. FTO rs9939609 and rs17817449 polymorphisms were not associated with obesity, hyperhomocysteinemia, hyperuricemia, hypertension and CAD. Obese or T2DM carriers of the AA or AT genotype of the FTO rs9939609 polymorphism had a higher prevalence of dyslipidemia compared to non-obese or non-T2DM carriers of the AA or AT genotype (P = 0.03 for both). Among the carriers of GG or GT genotype of the FTO rs17817449 polymorphism, the prevalence of dyslipidemia in obese patients was higher than that in non-obese subjects (P < 0.01). PPARD rs2016520 and rs2267668 polymorphisms were not correlated with any of the metabolic-related diseases in the study population. Conclusion Minor alleles of FTO rs9939609 and rs17817449 polymorphisms confer a higher risk of T2DM and dyslipidemia, and the risk is further increased among obese individuals. PPARD rs2016520 and rs2267668 polymorphisms are not associated with metabolic-related diseases.
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Affiliation(s)
- Youjin Zhang
- Central Laboratory, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Lvlin Chen
- Department of Critical Care Medicine, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Junchen Zhu
- Department of Critical Care Medicine, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Hao Liu
- Clinical Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Luying Xu
- Clinical Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Yang Wu
- Clinical Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Chuan He
- Department of Cardiology, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Yongyan Song
- Central Laboratory, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
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Zhang Y, Li S, Nie H, Wang X, Li X, Wen J, Li M, Song Y. The rs17782313 polymorphism near MC4R gene confers a high risk of obesity and hyperglycemia, while PGC1α rs8192678 polymorphism is weakly correlated with glucometabolic disorder: a systematic review and meta-analysis. Front Endocrinol (Lausanne) 2023; 14:1210455. [PMID: 37621650 PMCID: PMC10445758 DOI: 10.3389/fendo.2023.1210455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 07/25/2023] [Indexed: 08/26/2023] Open
Abstract
Background The relationships of the rs17782313 polymorphism near melanocortin 4 receptor gene (MC4R) and the rs8192678 polymorphism in peroxisome proliferator-activated receptor gamma coactivator 1 alpha gene (PGC1α) with metabolic abnormalities have been explored in many populations around the world, but the findings were not all consistent and sometimes even a bit contradictory. Methods Electronic databases including Medline, Scopus, Embase, Web of Science, CNKI and Google Scholar were checked for studies that met the inclusion criteria. Data were carefully extracted from eligible studies. Standardized mean differences (SMDs) were calculated by using a random-effects model to examine the differences in the indexes of obesity, glucometabolic disorder and dyslipidemia between the genotypes of the rs17782313 and rs8192678 polymorphisms. Cochran's Q-statistic test and Begg's test were employed to identify heterogeneity among studies and publication bias, respectively. Results Fifty studies (58,716 subjects) and 51 studies (18,660 subjects) were respectively included in the pooled meta-analyses for the rs17782313 and rs8192678 polymorphisms. The C-allele carriers of the rs17782313 polymorphism had a higher average level of body mass index (SMD = 0.21 kg/m2, 95% confidence interval [95% CI] = 0.12 to 0.29 kg/m2, p < 0.001), waist circumference (SMD = 0.14 cm, 95% CI = 0.06 to 0.23 cm, p < 0.001) and blood glucose (SMD = 0.09 mg/dL, 95% CI = 0.02 to 0.16 mg/dL, p = 0.01) than the TT homozygotes. Regarding the rs8192678 polymorphism, no significant associations with the indexes of obesity, glucometabolic disorder and dyslipidemia were detected. However, significant correlations between the rs8192678 polymorphism and multiple glucometabolic indexes were observed in subgroup analyses stratified by sex, age, ethnicity and health status. Conclusion The meta-analysis demonstrates that the C allele of the MC4R rs17782313 polymorphism confers a higher risk of obesity and hyperglycemia, and the PGC1α rs8192678 polymorphism is weakly correlated with glucometabolic disorder. These findings may partly explain the relationships between these variants and diabetes as well as cardiovascular disease. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42022373543.
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Affiliation(s)
- Youjin Zhang
- Central Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Shiyun Li
- Department of Endocrinology, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Haiyan Nie
- Clinical Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Xue Wang
- Central Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Xuanxuan Li
- Clinical Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Jinhui Wen
- Department of Endocrinology, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
| | - Mengxi Li
- Clinical Medical College of Chengdu University, Chengdu, Sichuan, China
| | - Yongyan Song
- Central Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, Sichuan, China
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Li S, Zhang Y, Xu W, Lv Z, Xu L, Zhao Z, Zhu D, Song Y. C Allele of the PPARδ+294T>C Polymorphism Confers a Higher Risk of Hypercholesterolemia, but not Obesity and Insulin Resistance: A Systematic Review and Meta-Analysis. Horm Metab Res 2023; 55:355-366. [PMID: 37011890 DOI: 10.1055/a-2043-7707] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/05/2023]
Abstract
The relationships of the PPARα Leu162Val and PPARδ+294 T>C polymorphisms with metabolic indexes have been reported to be inconsistent and even contradictory. The meta-analysis was conducted to clarify the relationships between the two variants and the indexes of obesity, insulin resistance, and blood lipids. PubMed, Google Scholar, Embase, and Cochrane Library were searched for eligible studies. Standardized mean difference with 95% confidence interval was calculated to estimate the differences in the metabolic indexes between the genotypes of the Leu162Val and+294 T>C polymorphisms. Heterogeneity among studies was assessed by Cochran's x2-based Q-statistic test. Publication bias was identified by using Begg's test. Forty-one studies (44 585 subjects) and 33 studies (23 018 subjects) were identified in the analyses for the Leu162Val and+294 T>C polymorphisms, respectively. C allele carriers of the+294 T>C polymorphism had significantly higher levels of total cholesterol and low-density lipoprotein cholesterol than TT homozygotes in the whole population. Notably, C allele carriers of the+294 T>C polymorphism had significantly higher levels of triglycerides and total cholesterol in East Asians, but lower levels of triglycerides in West Asians than TT homozygotes. Regarding the Leu162Val polymorphism, it was found that Val allele carriers had significantly higher levels of blood glucose than Leu/Leu homozygotes only in European Caucasians. The meta-analysis demonstrates that C allele of the+294 T>C polymorphism in PPARδ gene confers a higher risk of hypercholesterolemia, which may partly explain the relationship between this variant and coronary artery disease.
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Affiliation(s)
- Shujin Li
- Central Laboratory, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, China
| | - Youjin Zhang
- Central Laboratory, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, China
| | - Wenhao Xu
- Clinical Medical College of Chengdu University, Chengdu, China
| | - Zhimin Lv
- Clinical Medical College of Chengdu University, Chengdu, China
| | - Luying Xu
- Clinical Medical College of Chengdu University, Chengdu, China
| | - Zixuan Zhao
- Clinical Medical College of Chengdu University, Chengdu, China
| | - Dan Zhu
- Clinical Medical College of Chengdu University, Chengdu, China
| | - Yongyan Song
- Central Laboratory, Clinical Medical College & Affiliated Hospital of Chengdu University, Chengdu, China
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Joseph A, Thirupathamma M, Mathews E, Alagu M. Genetics of type 2 diabetes mellitus in Indian and Global Population: A Review. EGYPTIAN JOURNAL OF MEDICAL HUMAN GENETICS 2022; 23:135. [PMID: 37192883 PMCID: PMC9438889 DOI: 10.1186/s43042-022-00346-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 08/21/2022] [Indexed: 11/10/2022] Open
Abstract
Background Non-communicable diseases such as cardiovascular diseases, respiratory diseases and diabetes contribute to the majority of deaths in India. Public health programmes on non-communicable diseases (NCD) prevention primarily target the behavioural risk factors of the population. Hereditary is known as a risk factor for most NCDs, specifically, type 2 diabetes mellitus (T2DM), and hence, understanding of the genetic markers of T2DM may facilitate prevention, early case detection and management. Main body We reviewed the studies that explored marker-trait association with type 2 diabetes mellitus globally, with emphasis on India. Globally, single nucleotide polymorphisms (SNPs) rs7903146 of Transcription Factor 7-like 2 (TCF7L2) gene was common, though there were alleles that were unique to specific populations. Within India, the state-wise data were also taken to foresee the distribution of risk/susceptible alleles. The findings from India showcased the common and unique alleles for each region. Conclusion Exploring the known and unknown genetic determinants might assist in risk prediction before the onset of behavioural risk factors and deploy prevention measures. Most studies were conducted in non-representative groups with inherent limitations such as smaller sample size or looking into only specific marker-trait associations. Genome-wide association studies using data from extensive prospective studies are required in highly prevalent regions worldwide. Further research is required to understand the singular effect and the interaction of genes in predicting diabetes mellitus and other comorbidities.
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Affiliation(s)
- Anjaly Joseph
- Department of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala 671320 India
| | - Maradana Thirupathamma
- Department of Genomic Science, Central University of Kerala, Kasaragod, Kerala 671320 India
| | - Elezebeth Mathews
- Department of Public Health and Community Medicine, Central University of Kerala, Kasaragod, Kerala 671320 India
| | - Manickavelu Alagu
- Department of Genomic Science, Central University of Kerala, Kasaragod, Kerala 671320 India
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Li S, He C, Nie H, Pang Q, Wang R, Zeng Z, Song Y. G Allele of the rs1801282 Polymorphism in PPARγ Gene Confers an Increased Risk of Obesity and Hypercholesterolemia, While T Allele of the rs3856806 Polymorphism Displays a Protective Role Against Dyslipidemia: A Systematic Review and Meta-Analysis. Front Endocrinol (Lausanne) 2022; 13:919087. [PMID: 35846293 PMCID: PMC9276935 DOI: 10.3389/fendo.2022.919087] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Accepted: 05/30/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND The relationships between the rs1801282 and rs3856806 polymorphisms in nuclear receptor peroxisome proliferator-activated receptor gamma (PPARγ) gene and obesity indexes as well as serum lipid levels have been extensively investigated in various studies, but the results were inconsistent and even contradictory. METHODS PubMed, Google Scholar, Embase, Cochrane Library, Web of Science, Wanfang, CNKI and VIP databases were searched for eligible studies. The random-effTPDEects model was used, and standardized mean difference (SMD) with 95% confidence interval (CI) was calculated to estimate the differences in obesity indexes and serum lipid levels between the subjects with different genotypes in a dominant model. Heterogeneity among studies was assessed by Cochran's x2-based Q-statistic test. Publication bias was identified by using Begg's test. RESULTS One hundred and twenty studies (70,317 subjects) and 33 studies (18,353 subjects) were identified in the analyses for the rs1801282 and rs3856806 polymorphisms, respectively. The G allele carriers of the rs1801282 polymorphism had higher levels of body mass index (SMD = 0.08 kg/m2, 95% CI = 0.04 to 0.12 kg/m2, p < 0.001), waist circumference (SMD = 0.12 cm, 95% CI = 0.06 to 0.18 cm, p < 0.001) and total cholesterol (SMD = 0.07 mmol/L, 95% CI = 0.02 to 0.11 mmol/L, p < 0.01) than the CC homozygotes. The T allele carriers of the rs3856806 polymorphism had lower levels of low-density lipoprotein cholesterol (SMD = -0.09 mmol/L, 95% CI = -0.15 to -0.03 mmol/L, p < 0.01) and higher levels of high-density lipoprotein cholesterol (SMD = 0.06 mmol/L, 95% CI = 0.02 to 0.10 mmol/L, p < 0.01) than the CC homozygotes. CONCLUSIONS The meta-analysis suggests that the G allele of the rs1801282 polymorphism confers an increased risk of obesity and hypercholesterolemia, while the T allele of the rs3856806 polymorphism displays a protective role against dyslipidemia, which can partly explain the associations between these polymorphisms and cardiovascular disease. SYSTEMATIC REVIEW REGISTRATION https://www.crd.york.ac.uk/prospero/, identifier [CRD42022319347].
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Affiliation(s)
- Shujin Li
- Central Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, China
| | - Chuan He
- Department of Cardiology, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, China
| | - Haiyan Nie
- Clinical Medical College of Chengdu University, Chengdu, China
| | - Qianyin Pang
- Clinical Medical College of Chengdu University, Chengdu, China
| | - Ruixia Wang
- Clinical Medical College of Chengdu University, Chengdu, China
| | - Zhifu Zeng
- Clinical Medical College of Chengdu University, Chengdu, China
| | - Yongyan Song
- Central Laboratory, Clinical Medical College and Affiliated Hospital of Chengdu University, Chengdu, China
- *Correspondence: Yongyan Song,
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