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Cai Y, Liu B, Zhang Y, Zhou Y. MTHFR gene polymorphisms in diabetes mellitus. Clin Chim Acta 2024; 561:119825. [PMID: 38908773 DOI: 10.1016/j.cca.2024.119825] [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] [Received: 04/15/2024] [Revised: 06/19/2024] [Accepted: 06/19/2024] [Indexed: 06/24/2024]
Abstract
The methylenetetrahydrofolate reductase (MTHFR), methionine synthase (MTR), and methionine synthase reductase (MTRR) are three regulatory enzymes in the folic acid (FA) cycle play a critical role in the balance of methionine and homocysteine. MTHFR and MTRR gene polymorphisms affect the biochemical activities of enzymes, impairing the remethylation of homocysteine to methionine. In 1972, severe MTHFR deficiency resulting in homocystinuria was first reported, suggesting MTHFR involvement in the disease. MTHFR C677T polymorphism can independently increase the risk of high homocysteine (HHcy) in plasma. Elevation of homocysteine levels could increase the risk of microvascular damage, thrombosis, heart disease, etc. Vascular complications were regarded as a leading major cause of diabetes mortality, and disability increases individual health and economic burden. Diabetes mellitus (DM) is a chronic inflammatory disease, and conventional medications do not provide a complete cure for diabetes. It was essential to identify other risk factors for the intervention and prevention of diabetes. MTHFR gene polymorphism is an emerging risk factor in diabetes. Recent studies have shown that polymorphisms of the MTHFR gene play a significant role in the pathophysiology of diabetes, including inflammation and insulin resistance. This review summarizes the association between MTHER gene polymorphism and diabetes.
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Affiliation(s)
- Yaqin Cai
- Department of Clinical Laboratory, Zhuhai 5th People's Hospital, Zhuhai, Guangdong 519055, China
| | - Bin Liu
- Department of Anaesthesiology, Zhuhai 5th People's Hospital, Zhuhai, Guangdong 519055, China
| | - Yingping Zhang
- Department of Clinical Laboratory, Zhuhai 5th People's Hospital, Zhuhai, Guangdong 519055, China
| | - Yuqiu Zhou
- Department of Clinical Laboratory, Zhuhai 5th People's Hospital, Zhuhai, Guangdong 519055, China; Department of Clinical Laboratory, Zhuhai Center for Maternal and Child Health Care, Zhuhai, Guangdong 519001, China.
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Gao Y, Li Z, Wang Y, Zhang H, Huang K, Fu Y, Xu S, Li Q, Liu X, Zhang G. Analysis of clinical evidence on traditional Chinese medicine for the treatment of diabetic nephropathy: a comprehensive review with evidence mapping. Front Endocrinol (Lausanne) 2024; 15:1324782. [PMID: 38601203 PMCID: PMC11004434 DOI: 10.3389/fendo.2024.1324782] [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: 10/20/2023] [Accepted: 03/11/2024] [Indexed: 04/12/2024] Open
Abstract
Objective This study aims to map evidence from Randomized Controlled Trials (RCTs) and systematic reviews/Meta-analyses concerning the treatment of Diabetic Nephropathy (DN) with Traditional Chinese Medicine (TCM), understand the distribution of evidence in this field, and summarize the efficacy and existing problems of TCM in treating DN. The intention is to provide evidence-based data for TCM in preventing and treating DN and to offer a reference for defining future research directions. Methods Comprehensive searches of major databases were performed, spanning from January 2016 to May 2023, to include clinical RCTs and systematic reviews/Meta-analyses of TCM in treating DN. The analysis encompasses the publishing trend of clinical studies, the staging of research subjects, TCM syndrome differentiation, study scale, intervention plans, and outcome indicators. Methodological quality of systematic reviews was evaluated using the AMSTAR (Assessment of Multiple Systematic Reviews) checklist, and evidence distribution characteristics were analyzed using a combination of text and charts. Results A total of 1926 RCTs and 110 systematic reviews/Meta-analyses were included. The majority of studies focused on stage III DN, with Qi-Yin deficiency being the predominant syndrome type, and sample sizes most commonly ranging from 60 to 100. The TCM intervention durations were primarily between 12-24 weeks. Therapeutic measures mainly consisted of Chinese herbal decoctions and patented Chinese medicines, with a substantial focus on clinical efficacy rate, TCM symptomatology, and renal function indicators, while attention to quality of life, dosage of Western medicine, and disease progression was inadequate. Systematic reviews mostly scored between 5 and 8 on the AMSTAR scale, and evidence from 94 studies indicated potential positive effects. Conclusion DN represents a significant health challenge, particularly for the elderly, with TCM showing promise in symptom alleviation and renal protection. Yet, the field is marred by research inconsistencies and methodological shortcomings. Future investigations should prioritize the development of standardized outcome sets tailored to DN, carefully select evaluation indicators that reflect TCM's unique intervention strategies, and aim to improve the robustness of clinical evidence. Emphasizing TCM's foundational theories while incorporating advanced scientific technologies will be essential for innovating research methodologies and uncovering the mechanisms underlying TCM's efficacy in DN management.
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Affiliation(s)
- Yating Gao
- Institute of Endocrinology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Zhenghong Li
- Research Department, Swiss University of Traditional Chinese Medicine, Bad Zurzach, Switzerland
| | - Yiming Wang
- Graduate School, China Academy of Chinese Medical Sciences, Beijing, China
| | - Haoling Zhang
- Postdoctoral Research Station, China Academy of Chinese Medical Sciences, Beijing, China
| | - Ke Huang
- Institute of Endocrinology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yujie Fu
- Institute of Endocrinology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Shanqiong Xu
- Institute of Endocrinology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Qingna Li
- Institute of Clinical Pharmacology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xingfang Liu
- Research Department, Swiss University of Traditional Chinese Medicine, Bad Zurzach, Switzerland
| | - Guangde Zhang
- Institute of Endocrinology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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Tao J, Helali AE, Ho JC, Lam WWT, Pang H. An Evaluation of Gene-Diet Interaction Statistical Methods and Discovery of rs7175421-Whole Grain Interaction in Lung Cancer. Nutr Cancer 2022; 75:219-227. [PMID: 35930377 DOI: 10.1080/01635581.2022.2104878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Dietary factors show different effects on genetically diverse populations. Scientific research uses gene-environment interaction models to study the effects of dietary factors on genetically diverse populations for lung cancer risk. However, previous study designs have not investigated the degree of type I error inflation and, in some instances, have not corrected for multiple testing. Using a motivating investigation of diet-gene interaction and lung cancer risk, we propose a training and testing strategy and perform real-world simulations to select the appropriate statistical methods to reduce false-positive discoveries. The simulation results show that the unconstrained maximum likelihood (UML) method controls the type I error better than the constrained maximum likelihood (CML). The empirical Bayesian (EB) method can compete with the UML method in achieving statistical power and controlling type I error. We observed a significant interaction between SNP rs7175421 with dietary whole grain in lung cancer prevention, with an effect size (standard error) of -0.312 (0.112) for EB estimate. SNP rs7175421 may interact with dietary whole grains in modulating lung cancer risk. Evaluating statistical methods for gene-diet interaction analysis can help balance the statistical power and type I error.
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Affiliation(s)
- Jun Tao
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong, China
| | - Aya El Helali
- Department of Clinical Oncology, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong, China
| | - James C Ho
- Department of Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong, China
| | - Wendy W T Lam
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.,Jockey Club Institute of Cancer Care, The University of Hong Kong, Pok Fu Lam, Hong Kong, China
| | - Herbert Pang
- School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Pok Fu Lam, Hong Kong, China.,Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, North Carolina, USA
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Wang X, Lan L. MTHFR C667T polymorphism and diabetic nephropathy susceptibility in patients with type 2 diabetes mellitus: An updated meta-analysis. Pteridines 2022. [DOI: 10.1515/pteridines-2022-0039] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
Abstract
Background
Numerous studies indicated that there exists a relationship between methylenetetrahydrofolate reductase (MTHFR) C667T polymorphism and diabetic nephropathy (DN) susceptibility; nonetheless, available proof reported from individual studies has not been consistent, so we performed an updated meta-analysis to evaluate the relationship between MTHFR C667T variant and DN.
Materials and methods
Relevant studies published before February 2022 were searched from the electronic databases PubMed, Embase, Scopus, Chinese Biology Medicine and the Chinese National Knowledge Infrastructure. The strength of the association was examined by odds ratio (OR) with 95% confidence interval (CI).
Results
The findings illustrated that there was a significant relationship between the polymorphism of C677T and DN compared with that to DM controls in allele (OR = 1.59, 95% CI = 1.39–1.82), dominant (OR = 1.76, 95% CI = 1.47–2.11) and recessive (OR = 1.85, 95% CI = 1.56–2.20) models in all populations. Moreover, as compared with the healthy controls, a significant relationship between C677T and DN was found in three genetic comparison models (allele: OR = 1.81, 95% CI = 1.43–2.29; dominant: OR = 2.09, 95% CI = 1.54–2.85; recessive: OR = 2.02, 95% CI = 1.51–2.70). Furthermore, stratifying data by race, diabetes duration and whether in Hardy–Weinberg equilibrium revealed substantially augmented vulnerability to DN in all subgroups.
Conclusion
The current meta-analysis highlighted conclusive results for the robust association between C677T polymorphisms and DN susceptibility.
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Affiliation(s)
- Xiaodong Wang
- Department of Rheumatology and Immunology, Lishui People’s Hospital , Zhejiang Province 323000 , PR China
| | - Lejian Lan
- Department Nephrology, Lishui People’s Hospital , No. 15 Dazhong Road Liandu District , Lishui City , Zhejiang Province 323000 , PR China
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Zhang Q, Zhang Y, Zeng L, Chen G, Zhang L, Liu M, Sheng H, Hu X, Su J, Zhang D, Lu F, Liu X, Zhang L. The Role of Gut Microbiota and Microbiota-Related Serum Metabolites in the Progression of Diabetic Kidney Disease. Front Pharmacol 2021; 12:757508. [PMID: 34899312 PMCID: PMC8652004 DOI: 10.3389/fphar.2021.757508] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/12/2021] [Accepted: 10/15/2021] [Indexed: 12/12/2022] Open
Abstract
Objective: Diabetic kidney disease (DKD) has become the major cause of end-stage renal disease (ESRD) associated with the progression of renal fibrosis. As gut microbiota dysbiosis is closely related to renal damage and fibrosis, we investigated the role of gut microbiota and microbiota-related serum metabolites in DKD progression in this study. Methods: Fecal and serum samples obtained from predialysis DKD patients from January 2017 to December 2019 were detected using 16S rRNA gene sequencing and liquid chromatography-mass spectrometry, respectively. Forty-one predialysis patients were divided into two groups according to their estimated glomerular filtration rate (eGFR): the DKD non-ESRD group (eGFR ≥ 15 ml/min/1.73 m2) (n = 22), and the DKD ESRD group (eGFR < 15 ml/min/1.73 m2) (n = 19). The metabolic pathways related to differential serum metabolites were obtained by the KEGG pathway analysis. Differences between the two groups relative to gut microbiota profiles and serum metabolites were investigated, and associations between gut microbiota and metabolite concentrations were assessed. Correlations between clinical indicators and both microbiota-related metabolites and gut microbiota were calculated by Spearman rank correlation coefficient and visualized by heatmap. Results: Eleven different intestinal floras and 239 different serum metabolites were identified between the two groups. Of 239 serum metabolites, 192 related to the 11 different intestinal flora were mainly enriched in six metabolic pathways, among which, phenylalanine and tryptophan metabolic pathways were most associated with DKD progression. Four microbiota-related metabolites in the phenylalanine metabolic pathway [hippuric acid (HA), L-(−)-3-phenylactic acid, trans-3-hydroxy-cinnamate, and dihydro-3-coumaric acid] and indole-3 acetic acid (IAA) in the tryptophan metabolic pathway positively correlated with DKD progression, whereas L-tryptophan in the tryptophan metabolic pathway had a negative correlation. Intestinal flora g_Abiotrophia and g_norank_f_Peptococcaceae were positively correlated with the increase in renal function indicators and serum metabolite HA. G_Lachnospiraceae_NC2004_Group was negatively correlated with the increase in renal function indicators and serum metabolites [L-(−)-3-phenyllactic acid and IAA]. Conclusions: This study highlights the interaction among gut microbiota, serum metabolites, and clinical indicators in predialysis DKD patients, and provides new insights into the role of gut microbiota and microbiota-related serum metabolites that were enriched in the phenylalanine and tryptophan metabolic pathways, which correlated with the progression of DKD.
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Affiliation(s)
- Qing Zhang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yanmei Zhang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Lu Zeng
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Guowei Chen
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - La Zhang
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Meifang Liu
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Hongqin Sheng
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xiaoxuan Hu
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jingxu Su
- State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Duo Zhang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Fuhua Lu
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Xusheng Liu
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Lei Zhang
- The Second Clinical Medical College, Guangzhou University of Chinese Medicine, Guangzhou, China.,State Key Laboratory of Dampness Syndrome of Chinese Medicine, Guangdong Provincial Key Laboratory of Clinical Research on Traditional Chinese Medicine Syndrome, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
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Guan H, Xia MD, Wang M, Guan YJ, Lyu XC. Methylenetetrahydrofolate reductase genetic polymorphism and the risk of diabetic nephropathy in type 2 diabetic patients. Medicine (Baltimore) 2020; 99:e21558. [PMID: 32871871 PMCID: PMC7458257 DOI: 10.1097/md.0000000000021558] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/17/2019] [Revised: 06/29/2020] [Accepted: 07/03/2020] [Indexed: 12/17/2022] Open
Abstract
BACKGROUND As indicated by numerous studies, there exists a relationship between the polymorphism of methylenetetrahydrofolate reductase (MTHFR) and susceptibility to diabetic nephropathy (DN) in various populations; nonetheless, the findings remain inconsistent. Therefore, we carried out a meta-analysis to determine the relationship between the MTHFR gene polymorphism and DN susceptibility. MATERIALS AND METHOD Related studies were identified from PubMed, Cochrane Library, EMBASE, and the China National Knowledge Infrastructure database (time period: from building the library to October 2019). The strength of the association was examined using odds ratios (ORs) with 95% confidence intervals (95% CIs). RESULTS The findings illustrated that the C677T gene polymorphism was significantly associated with an enhanced susceptibility to DN compared to that with diabetes mellitus in allelic (OR = 1.64, 95% CI = 1.34-2.00, P < .001), dominant (OR = 1.85, 95% CI = 1.40-2.46, P < .001), codominant (heterozygote: OR = 1.67, 95% CI = 1.27-2.21, P < .001; homozygote: OR = 2.55, 95% CI = 1.82-3.57, P < .001), and recessive (OR = 1.89, 95% CI = 1.50-2.38, P < .001) models of the overall population. Moreover, as compared with the healthy controls, a significantly augmented susceptibility to DN was found in all 5 genetic comparison models (allelic: OR = 2.06, 95% CI = 1.58-2.67, P < .001; dominant: OR = 2.52, 95% CI = 1.73-3.69, P < .001; codominant: OR = 3.78, 95% CI = 2.50-5.70, P < .001; recessive: OR = 2.41, 95% CI = 1.96-2.97, P < .001). Furthermore, stratifying data by ethnicity revealed substantially augmented vulnerability to DN in not only Caucasian but also Asian populations. CONCLUSION The present study suggests that the C677T polymorphism was associated with an augmented susceptibility to DN.
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Affiliation(s)
- Hui Guan
- Department of Fundamental Nursing, West Anhui Health Vocational College, Lu’an, Anhui
| | - Meng-Di Xia
- Department of Nephrology, the Second Clinical Medical Institution of North Sichuan Medical College (Nanchong Central Hospital), Nanchong, Sichuan, PR China
- Department of Nephrology and Berlin Institute of Health, Charite-University Berlin, Freie Universität Berlin, Humboldt Universität zu Berlin, Hindenburgdamm 30, Berlin, Germany
| | - Miao Wang
- Department of Fundamental Nursing, School of Nursing, Wannan Medical College, Wuhu
| | - Ying-Jie Guan
- Department of Respiratory Medicine, Lu’an People's Hospital, Lu’an, Anhui, PR China
| | - Xiao-Chen Lyu
- Department of Fundamental Nursing, West Anhui Health Vocational College, Lu’an, Anhui
- Chiang Mai University, Chiang Mai, Thailand
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7
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Chang HL, Chen GR, Hsiao PJ, Chiu CC, Tai MC, Kao CC, Tsai DJ, Su H, Chen YH, Chen WT, Su SL. Decisive evidence corroborates a null relationship between MTHFR C677T and chronic kidney disease: A case-control study and a meta-analysis. Medicine (Baltimore) 2020; 99:e21045. [PMID: 32702845 PMCID: PMC7373545 DOI: 10.1097/md.0000000000021045] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Previous meta-analyses have explored the association between the C677T polymorphism of methyltetrahydrofolate reductase (MTHFR) and chronic kidney disease (CKD) but there were no studies with a decisive conclusion. Furthermore, the high heterogeneity among different populations is not yet interpreted. OBJECTIVES This study used trial sequential analysis (TSA) to evaluate whether the nowadays conclusion supported by current cumulative samples. We also applied case-weighted meta-regression to explore the potential gene-environment interactions. METHODS For the first stage of this study we conducted a case-control study involving 847 dialysis patients from 7 hemodialysis centers in Taipei during 2015 to 2018 and 755 normal controls from a health center in the Tri-Service General Hospital. The second stage combined the results from the first stage with previous studies. The previous studies were collected from PubMed, EMBASE, and Web of Science databases before January 2018. RESULTS From the case-control study, the T allele of MTHFR C677T appeared to have a protective effect on end-stage renal disease compared with the C allele [odds ratio (OR): 0.80, 95% CI (confidence interval) = 0.69-0.93]. However, the meta-analysis contradicted the results in Asian (OR = 1.12, 95% CI = 0.96-1.30). The same analysis was also applied in Caucasian and presented similar results from Asian (OR = 1.18, 95% CI = 0.98-1.42). The TSA showed our case-control study to be the decisive sample leading to a null association among Asian population. The high heterogeneity (I = 75%) could explain the contradictory results between the case-control study and the meta-analysis. However, further case-weighted meta-regression did not find any significant interaction between measured factors and MTHFR C677T on CKD. CONCLUSIONS High heterogeneities were found in both Caucasian and Asian, which caused the null relationship in meta-analysis while there were significant effects in individual studies. Future studies should further explore the high heterogeneity that might be hidden in unmeasured gene-environment interactions, to explain the diverse findings among different populations.
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Affiliation(s)
- Hsueh-Lu Chang
- School of Public Health
- School of Dentistry
- Center for General Education, National Defense Medical Center, Taipei
| | | | - Po-Jen Hsiao
- Department of Internal Medicine, Taoyuan Armed Forces General Hospital
| | - Chih-Chien Chiu
- Division of Infectious Diseases, Department of Internal Medicine, Taoyuan Armed Forces General Hospital, National Defense Medical Center, Taoyuan
| | - Ming-Cheng Tai
- Department of Ophthalmology, Tri-Service General Hospital, National Defense Medical Center, Taipei
| | - Chung-Cheng Kao
- Department of Emergency Medicine, Taoyuan Armed Forces General Hospital, National Defense Medical Center, Taoyuan
| | - Dung-Jang Tsai
- School of Public Health
- Graduate Institute of Life Sciences, National Defense Medical Center, Taipei
| | - Hao Su
- Department of Health Industry Management, Kainan University, Taoyuan
| | | | - Wei-Teing Chen
- Division of Thoracic Medicine, Department of Medicine, Cheng Hsin General Hospital
- Department of Medicine, Tri-Service General Hospital, National Defense Medical Center, Taipei, Taiwan, ROC
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Liu P, Ma L, Zhao H, Shen Z, Zhou X, Yan M, Zhao T, Zhang H, Qiu X, Li P. Association between LXR- α and ABCA1 Gene Polymorphisms and the Risk of Diabetic Kidney Disease in Patients with Type 2 Diabetes Mellitus in a Chinese Han Population. J Diabetes Res 2020; 2020:8721536. [PMID: 33426085 PMCID: PMC7772016 DOI: 10.1155/2020/8721536] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2020] [Revised: 10/17/2020] [Accepted: 12/15/2020] [Indexed: 12/13/2022] Open
Abstract
We designed a case-control study and selected LXR-α rs7120118 C>T and ABCA1 rs2230806 A>G polymorphisms to determine the correlation between these polymorphisms and diabetic kidney disease (DKD) susceptibility in a Chinese Han population. Three hundred DKD patients and 346 type 2 diabetes mellitus (DM) patients without kidney disease were recruited. Our results showed that rs7120118 was associated with DKD (genotype, P = .027; allele, P < .011). rs7120118 was associated with a higher risk of DKD under a dominant model adjustment by age and sex (P = .015) and an additive model (P = .040); rs2230806 was associated with a higher risk of DKD under an recessive model (P < .03); the combined effect of rs7120118 CC+rs2230806 GG genotype showed an association of DKD adjustment for age and sex (P = .009). In subgroup analysis of patients without hypercholesterolemia, the rs2230806 genotype frequencies were different between the two groups (P = .042). rs2230806 was associated with increased risk of DKD under a recessive model adjustment for age and sex (P = .013) and an additive model (P = .031). Our results suggest that LXR-α rs7120118 is significantly associated with a higher risk of DKD, and ABCA1 rs2230806 is significantly associated with a higher risk of DKD without hypercholesterolemia in Chinese Han individuals.
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Affiliation(s)
- Peng Liu
- Shunyi Hospital, Beijing Traditional Chinese Medicine Hospital, Beijing, China
| | - Liang Ma
- Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Hailing Zhao
- Beijing Key Lab for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Science, China-Japan Friendship Hospital, Beijing, China
| | - Zhengri Shen
- Shunyi Hospital, Beijing Traditional Chinese Medicine Hospital, Beijing, China
| | - Xuefeng Zhou
- Beijing Key Lab for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Science, China-Japan Friendship Hospital, Beijing, China
| | - Meihua Yan
- Beijing Key Lab for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Science, China-Japan Friendship Hospital, Beijing, China
| | - Tingting Zhao
- Beijing Key Lab for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Science, China-Japan Friendship Hospital, Beijing, China
| | - Haojun Zhang
- Beijing Key Lab for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Science, China-Japan Friendship Hospital, Beijing, China
| | - Xinping Qiu
- Shunyi Hospital, Beijing Traditional Chinese Medicine Hospital, Beijing, China
| | - Ping Li
- Beijing Key Lab for Immune-Mediated Inflammatory Diseases, Institute of Clinical Medical Science, China-Japan Friendship Hospital, Beijing, China
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Reis AADS, de Alcântara KC, de Farias DLC, Dos Anjos LRB, Rodrigues DA, Pedrino GR, Santos RDS. The influence of MTHFR C677T polymorphism in chronic lymphocytic leukemia. Electrophoresis 2019; 40:1715-1718. [PMID: 31020666 DOI: 10.1002/elps.201800402] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Some factors have been associated with the etiology of chronic lymphocytic leukemia (CLL), among them the Methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism. The aim of this study was to evaluate the role of MTHFR C677T polymorphism in CLL. A case-control study was conducted with 219 individuals from Brazilian central population. MTHFR C677T polymorphism was determined through PCR-RFLP followed by PAGE. The T allele frequence was higher in patients diagnosed with CLL than healthy subjects. However, when stratified by gender, the TT genotype was exclusively found in men diagnosed with CLL (p < 0.05). Adjusted multiple logistic regression analysis demonstrated that age was significantly linked to CLL predisposition (odds ratio = 1.08; p < 0.001). Studies evaluating the influence of genetic factors may provide insights on susceptibility for CLL.
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Affiliation(s)
- Angela Adamski da Silva Reis
- Laboratory of Molecular Pathology, Biological Sciences Institute, Federal University of Goiás, Goiânia, GO, Brazil.,Biological Sciences Institute, Federal University of Goiás, Goiânia, GO, Brazil
| | | | | | | | - Débora Acyole Rodrigues
- Laboratory of Molecular Pathology, Biological Sciences Institute, Federal University of Goiás, Goiânia, GO, Brazil
| | | | - Rodrigo da Silva Santos
- Laboratory of Molecular Pathology, Biological Sciences Institute, Federal University of Goiás, Goiânia, GO, Brazil.,Department of Nature Sciences (LEdoC), Special Academic Unit of Human Sciences, Federal University of Goiás, Goiás, GO, Brazil
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Ma L, Liu Q, Jiang Y, Zhao H, Zhao T, Cao Y, Li P, Niu W. Genetically elevated circulating homocysteine concentrations increase the risk of diabetic kidney disease in Chinese diabetic patients. J Cell Mol Med 2019; 23:2794-2800. [PMID: 30729677 PMCID: PMC6433716 DOI: 10.1111/jcmm.14187] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 11/16/2018] [Accepted: 01/10/2019] [Indexed: 12/31/2022] Open
Abstract
Diabetic kidney disease (DKD) is a devastating and frequent complication of diabetes mellitus. Here, we first adopted methylenetetrahytrofolate reductase (MTHFR) gene C677T polymorphism as an instrument to infer the possible causal relevance between circulating homocysteine and DKD risk in a Chinese population and next attempted to build a risk prediction model for DKD. This is a hospital‐based case‐control association study. Total 1107 study participants were diagnosed with type 2 diabetes mellitus, including 547 patients with newly diagnosed and histologically confirmed DKD. MTHFR gene C677T polymorphism was determined using the TaqMan method. Carriers of 677TT genotype (14.55 μmol/L) had significantly higher homocysteine concentrations than carriers of 677CT genotype (12.88 μmol/L) (P < 0.001). Carriers of 677TT genotype had a 1.57‐fold increased risk of DKD (odds ratio: 1.57, 95% CI: 1.21‐2.05, P = 0.001) relative to carriers of 677CT genotype after adjusting for confounders. Mendelian randomization analysis revealed that the odds ratio for DKD relative to diabetes mellitus per 5 μmol/L increment of circulating homocysteine concentrations was 3.86 (95% confidence interval: 1.21‐2.05, P < 0.001). In the Logistic regression analysis, hypertension, homocysteine and triglyceride were significantly associated with an increased risk of DKD and they constituted a risk prediction model with good test performance and discriminatory capacity. Taken together, our findings provide evidence that elevated circulating homocysteine concentrations were causally associated with an increased risk of DKD in Chinese diabetic patients.
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Affiliation(s)
- Liang Ma
- Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Qian Liu
- Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Yongwei Jiang
- Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Hailing Zhao
- Beijing Key Lab Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Institute of Clinical Medical Science, Beijing, China
| | - Tingting Zhao
- Beijing Key Lab Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Institute of Clinical Medical Science, Beijing, China
| | - Yongtong Cao
- Clinical Laboratory, China-Japan Friendship Hospital, Beijing, China
| | - Ping Li
- Beijing Key Lab Immune-Mediated Inflammatory Diseases, China-Japan Friendship Hospital, Institute of Clinical Medical Science, Beijing, China
| | - Wenquan Niu
- BioBank Center, China-Japan Friendship Hospital, Institute of Clinical Medical Science, Beijing, China
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