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Li J, Li Y, Wang C, Mao Z, Yang T, Li Y, Xing W, Li Z, Zhao J, Li L. Dietary Potassium and Magnesium Intake with Risk of Type 2 Diabetes Mellitus Among Rural China: the Henan Rural Cohort Study. Biol Trace Elem Res 2024; 202:3932-3944. [PMID: 38049705 DOI: 10.1007/s12011-023-03993-6] [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: 11/01/2023] [Accepted: 11/29/2023] [Indexed: 12/06/2023]
Abstract
Previous studies exploring the relationship between dietary potassium and magnesium intake and the risk of type 2 diabetes mellitus (T2DM) have yielded inconsistent results and the lack evidence from rural China. Therefore, we aimed to investigate the association between dietary potassium and magnesium intake and the risk of T2DM in rural China. Data was collected from the Henan Rural Cohort Study in 2017. A validated semi-quantitative food frequency questionnaire assessed dietary potassium and magnesium intake. Logistic regression models were used to calculate odds ratio (ORs) and 95% confidence intervals (CIs) to evaluate the effect of dietary potassium, magnesium and the potassium-magnesium ratio on the risk of T2DM. A total of 38384 individuals were included in the study, and 3616 participants developed T2DM. Logistic regression analysis revealed that the OR (95% CI) of the highest versus dietary potassium and magnesium and potassium-magnesium ratio intakes were 0.67 (0.59, 0.75), 0.76 (0.67, 0.88), and 0.57 (0.50, 0.66), respectively, compared to the subjects with the lowest quartile of intakes. In addition, gender partially influences the relationship between dietary magnesium and T2DM prevalence (P-interaction = 0.042). The group with the highest dietary potassium and dietary magnesium intake had the lowest risk of T2DM, with an OR (95% CI) of 0.63 (0.51-0.77). Dietary potassium and magnesium intake are important modifiable risk factors for T2DM in rural China. Dietary potassium intake > 1.8g/day, dietary magnesium intake > 358.6mg/day and < 414.7mg/day and potassium-magnesium ratio >5.1 should be encouraged to prevent better and manage T2DM.
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Affiliation(s)
- Jia Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Yuqian Li
- Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, Henan, China
| | - Chongjian Wang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Zhenxing Mao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Tianyu Yang
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Yan Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Wenguo Xing
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Zhuoyang Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Jiaoyan Zhao
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China
| | - Linlin Li
- Department of Epidemiology and Health Statistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, Henan, 450001, People's Republic of China.
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Fan Y, Wu M, Ding L, Ji H, Zhao J, Li X, Li Z, Liu S, Jiang H, Shi J, Lei H, Wang M, Wang D, Ma L. Potassium status and the risk of type 2 diabetes, cardiovascular diseases, and mortality: a meta-analysis of prospective observational studies. Crit Rev Food Sci Nutr 2023:1-13. [PMID: 37788131 DOI: 10.1080/10408398.2023.2262584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/05/2023]
Abstract
Epidemiological evidence on the association between potassium and cardiometabolic outcomes remains controversial. This study aimed to examine associations of dietary intake and blood and urinary levels of potassium with risk of type 2 diabetes, cardiovascular disease (CVD), and mortality. Relevant prospective studies were retrieved through a comprehensive search of four electronic databases up to July 1, 2023. Random-effects models were used to pool the study-specific relative risks (RRs) and 95% confidence intervals (CIs). Fifty-six studies were included in this meta-analysis. A higher intake of potassium was significantly associated with a 16% lower risk of CVD (RR: 0.84, 95% CI: 0.78-0.90). Similar inverse associations were also observed between potassium intake and mortality. Each 1.0 g/d increment in potassium intake was associated with a decreased risk of CVD (RR: 0.85, 95% CI: 0.80-0.91) and all-cause mortality (RR: 0.93, 95% CI: 0.88-0.99). For blood and urinary potassium levels, higher level of blood potassium increased the risk of all-cause mortality by 23% (RR: 1.23, 95% CI: 1.11-1.36). The association of blood potassium levels with mortality was nonlinear (Pnon-linearit<0.001). However, urinary potassium levels were inversely associated with the risk of all-cause mortality (RR: 0.84, 95% CI: 0.76-0.93). Our findings support the benefits of moderate potassium consumption for primary prevention of chronic diseases and premature death.
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Affiliation(s)
- Yahui Fan
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Min Wu
- The First Affiliated Hospital, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Lu Ding
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Huixin Ji
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Jinping Zhao
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Xiaohui Li
- Department of Maternal and Child Health Management, Sichuan Provincial Maternity and Child Health Care Hospital, Chengdu, China
| | - Zhaofang Li
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Sijiao Liu
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Hong Jiang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Jia Shi
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Haoyuan Lei
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
| | - Mingxu Wang
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education of China, Xi'an, China
| | - Duolao Wang
- Guangdong Key Laboratory of Age-Related Cardiac and Cerebral Diseases, Affiliated Hospital of Guangdong Medical University, Zhanjiang, China
- Department of Clinical Sciences, Liverpool School of Tropical Medicine, Liverpool, UK
| | - Le Ma
- School of Public Health, Xi'an Jiaotong University Health Science Center, Xi'an, China
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Xi'an, China
- Key Laboratory of Environment and Genes Related to Diseases (Xi'an Jiaotong University), Ministry of Education of China, Xi'an, China
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Abegaz TM, Ahmed M, Sherbeny F, Diaby V, Chi H, Ali AA. Application of Machine Learning Algorithms to Predict Uncontrolled Diabetes Using the All of Us Research Program Data. Healthcare (Basel) 2023; 11:1138. [PMID: 37107973 PMCID: PMC10137945 DOI: 10.3390/healthcare11081138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 04/11/2023] [Accepted: 04/13/2023] [Indexed: 04/29/2023] Open
Abstract
There is a paucity of predictive models for uncontrolled diabetes mellitus. The present study applied different machine learning algorithms on multiple patient characteristics to predict uncontrolled diabetes. Patients with diabetes above the age of 18 from the All of Us Research Program were included. Random forest, extreme gradient boost, logistic regression, and weighted ensemble model algorithms were employed. Patients who had a record of uncontrolled diabetes based on the international classification of diseases code were identified as cases. A set of features including basic demographic, biomarkers and hematological indices were included in the model. The random forest model demonstrated high performance in predicting uncontrolled diabetes, yielding an accuracy of 0.80 (95% CI: 0.79-0.81) as compared to the extreme gradient boost 0.74 (95% CI: 0.73-0.75), the logistic regression 0.64 (95% CI: 0.63-0.65) and the weighted ensemble model 0.77 (95% CI: 0.76-0.79). The maximum area under the receiver characteristics curve value was 0.77 (random forest model), while the minimum value was 0.7 (logistic regression model). Potassium levels, body weight, aspartate aminotransferase, height, and heart rate were important predictors of uncontrolled diabetes. The random forest model demonstrated a high performance in predicting uncontrolled diabetes. Serum electrolytes and physical measurements were important features in predicting uncontrolled diabetes. Machine learning techniques may be used to predict uncontrolled diabetes by incorporating these clinical characteristics.
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Affiliation(s)
- Tadesse M. Abegaz
- Economic, Social and Administrative Pharmacy (ESAP), College of Pharmacy and Pharmaceutical Sciences, Institute of Public Heath, Florida A&M University, Tallahassee, FL 32307, USA
| | - Muktar Ahmed
- Adelaide Medical School, Faculty of Health and Medical Sciences, The University of Adelaide, Adelaide, SA 5005, Australia
| | - Fatimah Sherbeny
- Economic, Social and Administrative Pharmacy (ESAP), College of Pharmacy and Pharmaceutical Sciences, Institute of Public Heath, Florida A&M University, Tallahassee, FL 32307, USA
| | - Vakaramoko Diaby
- College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Hongmei Chi
- The Department of Computer and Information Sciences, Florid A&M University, Tallahassee, FL 32307, USA
| | - Askal Ayalew Ali
- Economic, Social and Administrative Pharmacy (ESAP), College of Pharmacy and Pharmaceutical Sciences, Institute of Public Heath, Florida A&M University, Tallahassee, FL 32307, USA
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D’Elia L, Masulli M, Cappuccio FP, Zarrella AF, Strazzullo P, Galletti F. Dietary Potassium Intake and Risk of Diabetes: A Systematic Review and Meta-Analysis of Prospective Studies. Nutrients 2022; 14:nu14224785. [PMID: 36432472 PMCID: PMC9697076 DOI: 10.3390/nu14224785] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Revised: 10/29/2022] [Accepted: 11/08/2022] [Indexed: 11/16/2022] Open
Abstract
(1) Background: Dietary potassium intake is positively associated with reduction of cardiovascular risk. Several data are available on the relationship between dietary potassium intake, diabetes risk and glucose metabolism, but with inconsistent results. Therefore, we performed a meta-analysis of the prospective studies that explored the effect of dietary potassium intake on the risk of diabetes to overcome these limitations. (2) Methods: A random-effects dose-response meta-analysis was carried out for prospective studies. A potential non-linear relation was investigated using restricted cubic splines. (3) Results: A total of seven prospective studies met the inclusion criteria. Dose-response analysis detected a non-linear relationship between dietary potassium intake and diabetes risk, with significant inverse association starting from 2900 mg/day by questionnaire and between 2000 and 5000 mg/day by urinary excretion. There was high heterogeneity among studies, but no evidence of publication bias was found. (4) Conclusions: The results of this meta-analysis indicate that habitual dietary potassium consumption is associated with risk of diabetes by a non-linear dose-response relationship. The beneficial threshold found supports the campaigns in favour of an increase in dietary potassium intake to reduce the risk of morbidity and mortality. Further studies should be carried out to explore this topic.
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Affiliation(s)
- Lanfranco D’Elia
- Department of Clinical Medicine and Surgery, “Federico II” University of Naples Medical School, 80131 Naples, Italy
- Correspondence:
| | - Maria Masulli
- Department of Clinical Medicine and Surgery, “Federico II” University of Naples Medical School, 80131 Naples, Italy
| | - Francesco P. Cappuccio
- World Health Organization Collaborating Centre for Nutrition, Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK
- Department of Medicine, University Hospital Coventry and Warwickshire NHS Trust, Coventry CV2 2DX, UK
| | - Aquilino F. Zarrella
- Department of Clinical Medicine and Surgery, “Federico II” University of Naples Medical School, 80131 Naples, Italy
| | - Pasquale Strazzullo
- Department of Clinical Medicine and Surgery, “Federico II” University of Naples Medical School, 80131 Naples, Italy
| | - Ferruccio Galletti
- Department of Clinical Medicine and Surgery, “Federico II” University of Naples Medical School, 80131 Naples, Italy
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Sang M, Liu Y, Wu T, Zhou X, Wang D, Sun Z, Qiu S. Association of a novel electrolyte index, SUSPPUP, based on the measurement of fasting serum and spot urinary sodium and potassium, with prediabetes and diabetes in Chinese population. Clin Chim Acta 2022; 531:426-433. [PMID: 35525267 DOI: 10.1016/j.cca.2022.04.1005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 04/18/2022] [Accepted: 04/28/2022] [Indexed: 11/03/2022]
Abstract
BACKGROUND SUSPPUP, calculated as serum sodium [Na+] to urinary Na+ divided by (serum potassium [K+]) 2 to urinary K+, is a composite electrolyte index that reflects renal Na+ retention and K+ excretion. It remains unclear whether SUSPPUP and its components including serum or urinary Na+ or K+, are associated with glucose metabolism. This study aimed to address their associations. METHODS We conducted a cross-sectional study enrolling 5,581 Chinese adults (1,269 with prediabetes, 1,044 with diabetes, and 3,268 with normoglycemia). Fasting serum and morning spot urine were used to measure electrolytes that included Na+ and K+. RESULTS SUSPPUP was higher in prediabetes and diabetes than normoglycemia. The odds of prediabetes and diabetes were increased by 21% and 39% for every 1-standard deviation increment of SUSPPUP after multivariable-adjustment. Multiple linear regression analysis showed that SUSPPUP correlated positively with fasting plasma glucose, 2 h plasma glucose after OGTT, and glycated hemoglobin A1c. Higher spot urinary Na+ was associated with lower odds of prediabetes and diabetes, while spot urinary K+ showed the opposite. CONCLUSION Increases in Na+ retention and K+ excretion in the kidney, as reflected by an elevated SUSPPUP, are associated with increased prevalence of prediabetes and diabetes in Chinese community-dwellers.
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Affiliation(s)
- Miaomiao Sang
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China
| | - Yu Liu
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China
| | - Tongzhi Wu
- Adelaide Medical School and Centre of Research Excellence (CRE) in Translating Nutritional Science to Good Health, The University of Adelaide, Adelaide, Australia
| | - Xiaoying Zhou
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China
| | - Duolao Wang
- Liverpool School of Tropical Medicine, Liverpool, UK
| | - Zilin Sun
- Department of Endocrinology, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.
| | - Shanhu Qiu
- Department of General Practice, Zhongda Hospital, Institute of Diabetes, School of Medicine, Southeast University, Nanjing, China.
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Effects of chromium supplementation on glycemic control in patients with type 2 diabetes: a systematic review and meta-analysis of randomized controlled trials. Pharmacol Res 2020; 161:105098. [PMID: 32730903 DOI: 10.1016/j.phrs.2020.105098] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 07/21/2020] [Accepted: 07/22/2020] [Indexed: 12/30/2022]
Abstract
BACKGROUND We aimed to investigate the effect of chromium supplementation on glycemic control indices in patients with type 2 diabetes (T2DM). METHODS Randomized controlled trials examining the effect of chromium supplementation on glycemic control indices and published before February 2020 were detected by searching online databases, including PubMed, Scopus, Embase, Web of sciences and The Cochrane Library, using a combination of suitable keywords. Mean change and standard deviation (SD) of the outcome measures were used to estimate the mean difference between the supplementation group and the control group at follow-up. RESULTS Twenty-eight studies reported fasting plasma glucose (FPG), insulin, hemoglobin A1C (HbA1C) and homeostatic model assessment for insulin resistance (HOMA-IR) as an outcome measure. Results revealed significant reduction in FPG (weighted mean difference (WMD): -19.00 mg/dl, 95% CI: -36.15, -1.85, P = 0.030; I2: 99.8%, p < 0.001), insulin level (WMD: -12.35 pmol/l, 95% CI: -17.86, -6.83, P < 0.001), HbA1C (WMD: -0.71 %, 95% CI: -1.19, -0.23, P = 0.004) and HOMA-IR (WMD: -1.53, 95% CI: -2.35, -0.72, P < 0.001; I2: 89.9%, p < 0.001) after chromium supplementation. CONCLUSION The results of the current meta-analysis study might support the use of chromium supplementation for the improvement of glycemic control indices in T2DM patients.
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Zile MR, O'Meara E, Claggett B, Prescott MF, Solomon SD, Swedberg K, Packer M, McMurray JJV, Shi V, Lefkowitz M, Rouleau J. Effects of Sacubitril/Valsartan on Biomarkers of Extracellular Matrix Regulation in Patients With HFrEF. J Am Coll Cardiol 2020; 73:795-806. [PMID: 30784673 DOI: 10.1016/j.jacc.2018.11.042] [Citation(s) in RCA: 138] [Impact Index Per Article: 34.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2018] [Revised: 11/08/2018] [Accepted: 11/13/2018] [Indexed: 01/05/2023]
Abstract
BACKGROUND Myocardial fibrosis is an important pathophysiological mechanism underlying the development of heart failure (HF). Given the biochemical targets of sacubitril/valsartan, we hypothesized that circulating biomarkers reflecting the mechanisms that determine extracellular matrix (ECM) homeostasis, including collagen synthesis, processing, and degradation, are altered by sacubitril/valsartan in comparison to enalapril. OBJECTIVES The purpose of this study was to examine the effects of sacubitril/valsartan on biomarkers of ECM homeostasis and the association between the rate of primary composite outcome (cardiovascular death or HF hospitalization) and these biomarkers. METHODS Biomarkers at baseline (n = 2,067) and both baseline and 8 months after randomization (n = 1,776) included aldosterone, soluble ST2 (sST2), tissue inhibitor of matrix metalloproteinase (TIMP)-1, matrix metalloproteinase (MMP)-2, MMP-9, Galectin-3 (Gal-3), N-terminal propeptide of collagen I (PINP), and N-terminal propeptide of collagen III (PIIINP). The effects of sacubitril/valsartan on biomarkers were compared with enalapril. Baseline biomarker values and changes from baseline to 8 months were related to primary outcome. RESULTS At baseline, the profibrotic biomarkers aldosterone, sST2, TIMP-1, Gal-3, PINP, and PIIINP were higher, and biomarkers associated with collagen degradation, MMP-2 and -9, were lower than published referent control values. Eight months after randomization, aldosterone, sST2, TIMP-1, MMP-9, PINP, and PIIINP had decreased more in the sacubitril/valsartan than enalapril group. At baseline, higher values of sST-2, TIMP-1, and PIIINP were associated with higher primary outcome rates. Changes from baseline to 8 months in sST-2 and TIMP-1 were associated with change in outcomes. CONCLUSIONS Biomarkers associated with profibrotic signaling are altered in HF with reduced ejection fraction, sacubitril/valsartan significantly decreased many of these biomarkers, and these biomarkers have important prognostic value. These findings suggest that sacubitril/valsartan may reduce profibrotic signaling, which may contribute to the improved outcomes. (This Study Will Evaluate the Efficacy and Safety of LCZ696 Compared to Enalapril on Morbidity and Mortality of Patients With Chronic Heart Failure [PARADIGM-HF]; NCT01035255).
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Affiliation(s)
- Michael R Zile
- Medical University of South Carolina and Department of Veterans Affairs Medical Center, Charleston, South Carolina.
| | - Eileen O'Meara
- Montreal Heart Institute and Université de Montréal, Montreal, Quebec, Canada
| | | | | | | | | | | | | | - Victor Shi
- Novartis Pharmaceuticals Corporation, East Hanover, New Jersey
| | | | - Jean Rouleau
- Montreal Heart Institute and Université de Montréal, Montreal, Quebec, Canada
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Shah M, Garg A. The relationships between macronutrient and micronutrient intakes and type 2 diabetes mellitus in South Asians: A review. J Diabetes Complications 2019; 33:500-507. [PMID: 31126704 DOI: 10.1016/j.jdiacomp.2019.04.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/18/2018] [Revised: 04/09/2019] [Accepted: 04/10/2019] [Indexed: 02/07/2023]
Abstract
BACKGROUND South Asians (SA) have increased prevalence of type 2 diabetes mellitus (T2DM). The role of nutrient intakes in T2DM in SA is not well understood, however. OBJECTIVE The paper reviewed the relationship between macronutrient and micronutrients intakes and T2DM in SA. METHODS The MEDLINE database was searched for relevant papers on this topic in SA. RESULTS There was some evidence that dietary fiber and linoleic acid intake may reduce but carbohydrates may increase the risk of T2DM. Some studies found higher energy from protein and fat in subjects with T2DM versus controls. Other studies, however, found lower carbohydrate intake among those with T2DM or no relationship between diet composition and T2DM. Several vitamins and minerals were also inversely related to T2DM. CONCLUSIONS The data were limited to a few epidemiological studies. Most studies did not distinguish between undiagnosed and known T2DM. Subjects with known T2DM are more likely to have changed their diet. Prospective cohort or randomized controlled studies examining the role of diet composition, using precise image-assisted dietary assessment method and blood biomarkers, in the development of T2DM among migrant and native SA are needed. Lastly, a more complete nutrient database for foods consumed by SA is needed.
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Affiliation(s)
- Meena Shah
- Division of Nutrition and Metabolic Diseases, UT Southwestern Medical Center, Dallas, TX, United States of America; Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States of America; Center for Human Nutrition, UT Southwestern Medical Center, Dallas, TX, United States of America; Department of Kinesiology, Texas Christian University, Fort Worth, TX, United States of America.
| | - Abhimanyu Garg
- Division of Nutrition and Metabolic Diseases, UT Southwestern Medical Center, Dallas, TX, United States of America; Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States of America; Center for Human Nutrition, UT Southwestern Medical Center, Dallas, TX, United States of America.
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Chatterjee R, Davenport CA, Raffield LM, Maruthur N, Lange L, Selvin E, Butler K, Yeh HC, Wilson JG, Correa A, Edelman D, Hauser E. KCNJ11 variants and their effect on the association between serum potassium and diabetes risk in the Atherosclerosis Risk in Communities (ARIC) Study and Jackson Heart Study (JHS) cohorts. PLoS One 2018; 13:e0203213. [PMID: 30169531 PMCID: PMC6118367 DOI: 10.1371/journal.pone.0203213] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/15/2018] [Accepted: 08/16/2018] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND In the Atherosclerosis Risk in Communities (ARIC) Study and Jackson Heart Study (JHS) cohorts, serum potassium (K) is an independent predictor of diabetes risk, particularly among African-American participants. Experimental studies show that serum K levels affects insulin secretion. The KCNJ11 gene encodes for a K channel that regulates insulin secretion and whose function is affected by serum K levels. Variants in KCNJ11 are associated with increased diabetes risk. We hypothesized that there could be a gene-by-environment interaction between KCNJ11 variation and serum K on diabetes risk. METHODS Evaluating a combined cohort of ARIC and JHS participants, we sought to determine if KCNJ11 variants are risk factors for diabetes; and if KCNJ11 variants modify the association between serum K and diabetes risk. Among participants without diabetes at baseline, we performed multivariable logistic regression to determine the effect of serum K, KCNJ11 variants, and their interactions on the odds of incident diabetes mellitus over 8-9 years in the entire cohort and by race. RESULTS Of 11,812 participants, 3220 (27%) participants developed diabetes. 48% and 47% had 1 or 2 diabetes risk alleles of rs5215 and rs5219, respectively. Caucasians had higher proportions of these risk alleles compared to African Americans (60% vs 17% for rs5215 and 60% vs 13% for rs5219, p<0.01). Serum K was a significant independent predictor of incident diabetes. Neither rs5215 nor rs5219 was associated with incident diabetes. In multivariable models, we found no statistically significant interactions between race and either rs5215 or rs5219 (P-values 0.493 and 0.496, respectively); nor between serum K and either rs5215 or rs5219 on odds of incident diabetes (P-values 0.534 and 0.687, respectively). CONCLUSION In this cohort, rs5215 and rs5219 of KCNJ11 were not significant predictors of incident diabetes nor effect modifiers of the association between serum K and incident diabetes.
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Affiliation(s)
| | | | - Laura M. Raffield
- University of North Carolina, Chapel Hill, NC, United States of America
| | - Nisa Maruthur
- Johns Hopkins University,Baltimore, MD, United States of America
| | - Leslie Lange
- University of Colorado, Denver,CO, United States of America
| | - Elizabeth Selvin
- Johns Hopkins University,Baltimore, MD, United States of America
| | - Kenneth Butler
- University of Mississippi Medical Center, Jackson, MS, United States of America
| | - Hsin-Chieh Yeh
- Johns Hopkins University,Baltimore, MD, United States of America
| | - James G. Wilson
- University of Mississippi Medical Center, Jackson, MS, United States of America
| | - Adolfo Correa
- University of Mississippi Medical Center, Jackson, MS, United States of America
| | - David Edelman
- Duke University, Durham, NC, United States of America
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Shah M, Vasandani C, Adams-Huet B, Garg A. Comparison of nutrient intakes in South Asians with type 2 diabetes mellitus and controls living in the United States. Diabetes Res Clin Pract 2018; 138:47-56. [PMID: 29382587 DOI: 10.1016/j.diabres.2018.01.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 12/19/2017] [Accepted: 01/23/2018] [Indexed: 10/18/2022]
Abstract
AIMS Despite having a high risk for type 2 diabetes mellitus (T2DM), little is known about the relationship between nutrient intakes and T2DM in South Asians (SA) in the U.S. In addition, the available data are limited to a few macronutrients and collected using subjective measures. Therefore, we compared macro- and micro-nutrient intakes of SA migrants with and without T2DM using an objective measure. METHODS SA in the U.S. with T2DM (n = 44) and controls (n = 33) reported their dietary intake using image-assisted dietary assessment method. They took pictures of all foods/drinks consumed on two weekdays and one weekend day. Age, gender distribution, and body mass index were similar across the two groups. RESULTS SA with T2DM, as compared to controls, consumed less total energy (mean difference: 499 kcal/d; p < .0001), linoleic acid (3.6 g/d; p = .003), dietary fiber (8.6 g/d; p < .0001), vitamin A (262 µg/d; p = .003), vitamin E (2.7 mg/d; p = .007), calcium (133 mg/d; p = .01), magnesium (116 mg/d; p < .0001), zinc (1.4 mg/d; p = .004), potassium (754 mg/d; p < .0001), and β-carotene (1761 µg/d; p = .03). SA with T2DM, as compared to controls, were significantly more likely not to meet the requirements for linoleic acid, dietary fiber, vitamin E, calcium, magnesium, zinc, and potassium (p < .05). CONCLUSIONS SA with T2DM, compared to controls, consume less total energy and have lower consumption of many nutrients associated with reduced risk of T2DM. Dietary interventions to reduce risk for T2DM are warranted in SA.
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Affiliation(s)
- Meena Shah
- Division of Nutrition and Metabolic Diseases, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States; Center for Human Nutrition, UT Southwestern Medical Center, Dallas, TX, United States; Department of Kinesiology, Texas Christian University, Fort Worth, TX, United States.
| | - Chandna Vasandani
- Division of Nutrition and Metabolic Diseases, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States; Center for Human Nutrition, UT Southwestern Medical Center, Dallas, TX, United States
| | - Beverley Adams-Huet
- Division of Biostatistics, Department of Clinical Sciences, UT Southwestern Medical Center, Dallas, TX, United States
| | - Abhimanyu Garg
- Division of Nutrition and Metabolic Diseases, Department of Internal Medicine, UT Southwestern Medical Center, Dallas, TX, United States; Center for Human Nutrition, UT Southwestern Medical Center, Dallas, TX, United States.
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Chatterjee R, Slentz C, Davenport CA, Johnson J, Lin PH, Muehlbauer M, D’Alessio D, Svetkey LP, Edelman D. Effects of potassium supplements on glucose metabolism in African Americans with prediabetes: a pilot trial. Am J Clin Nutr 2017; 106:1431-1438. [PMID: 29092881 PMCID: PMC5698842 DOI: 10.3945/ajcn.117.161570] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Accepted: 10/10/2017] [Indexed: 11/14/2022] Open
Abstract
Background: Low potassium has been identified both as a risk factor for type 2 diabetes and as a mediator of the racial disparity in diabetes risk. Low potassium could be a potentially modifiable risk factor, particularly for African Americans.Objective: We sought to determine the effects of potassium chloride (KCl) supplements, at a commonly prescribed dose, on measures of potassium and glucose metabolism.Design: Among African-American adults with prediabetes, we conducted a double-blinded pilot randomized controlled trial that compared the effects of 40 mEq K/d as KCl supplements with a matching placebo, taken for 3 mo, on measures of potassium and glucose metabolism, with measures collected from frequently sampled oral-glucose-tolerance tests (OGTTs).Results: Twenty-seven of 29 recruited participants completed the trial. Participants had high adherence to the study medication (92% by pill count). Participants in both groups gained weight, with an overall mean ± SD weight gain of 1.24 ± 2.03 kg. In comparison with participants who received placebo, urine potassium but not serum potassium increased significantly among participants randomly assigned to receive KCl (P = 0.005 and 0.258, respectively). At the end of the study, participants taking KCl had stable or improved fasting glucose, with a mean ± SD change in fasting glucose of -1.1 ± 8.4 mg/dL compared with an increase of 6.1 ± 7.6 mg/dL in those who received placebo (P = 0.03 for comparison between arms). There were no significant differences in glucose or insulin measures during the OGTT between the 2 groups, but there was a trend for improved insulin sensitivity in potassium-treated participants.Conclusions: In this pilot trial, KCl at a dose of 40 mEq/d did not increase serum potassium significantly. However, despite weight gain, KCl prevented worsening of fasting glucose. Further studies in larger sample sizes, as well as with interventions to increase serum potassium more than was achieved with our intervention, are indicated to definitively test this potentially safe and inexpensive approach to reducing diabetes risk. This trial was registered at clinicaltrials.gov as NCT02236598.
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Affiliation(s)
| | - Cris Slentz
- Departments of Medicine and,Duke Molecular Physiology Institute, Duke University, Durham, NC
| | | | - Johanna Johnson
- Departments of Medicine and,Duke Molecular Physiology Institute, Duke University, Durham, NC
| | | | - Michael Muehlbauer
- Departments of Medicine and,Duke Molecular Physiology Institute, Duke University, Durham, NC
| | - David D’Alessio
- Departments of Medicine and,Duke Molecular Physiology Institute, Duke University, Durham, NC
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Peng Y, Zhong GC, Mi Q, Li K, Wang A, Li L, Liu H, Yang G. Potassium measurements and risk of type 2 diabetes: a dose-response meta-analysis of prospective cohort studies. Oncotarget 2017; 8:100603-100613. [PMID: 29246005 PMCID: PMC5725047 DOI: 10.18632/oncotarget.21823] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2017] [Accepted: 09/23/2017] [Indexed: 01/15/2023] Open
Abstract
Objective To clarify the relationship between serum, dietary, and urinary potassium and the risk of type 2 diabetes mellitus (T2DM). Materials and Methods We searched PubMed and EMBASE through January 6, 2017 for studies reporting risk estimates on the association of potassium measurements and the risk of T2DM. The summary risk estimates were obtained through a random-effects model. Dose-response analysis was conducted. Results Eight studies involving 5,053 cases and 119,993 individuals were included. A trend toward significance was found in the highest versus lowest meta-analysis on serum potassium and T2DM risk (RR = 0.79; 95% CI 0.60-1.04); moreover, the RR per 1 mmol/L increase in serum potassium was 0.83 (95% CI 0.73-0.95). A non-significant association of dietary potassium and T2DM risk was detected (RR for the highest versus lowest category: 0.93; 95% CI 0.81-1.06; RR for every 1000mg increase per day: 1.00, 95% CI 0.96-1.05). A similar non-significant association was found for urinary potassium and T2DM risk (RR for the highest versus lowest category: 0.83; 95% CI 0.39-1.75; RR per 10 mmol increase: 1.00; 95% CI 0.95-1.05). Evidence of a linear association between serum, dietary, and urinary potassium and the risk of T2DM was found (all Pnon-linearity > 0.05). Conclusions Low serum potassium increases the risk of T2DM in a linear dose-response manner; nevertheless, neither dietary potassium nor urinary potassium shows any association with the risk of T2DM. However, these findings should be interpreted with caution due to limited studies.
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Affiliation(s)
- Yang Peng
- Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University and Chongqing Clinical Research Center for Geriatrics, Chongqing, China
| | - Guo-Chao Zhong
- Department of Hepatobiliary Surgery, The Second Affiliated Hospital, Chongqing Medical University, Chongqing, China
| | - Qiao Mi
- Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University and Chongqing Clinical Research Center for Geriatrics, Chongqing, China
| | - Kejia Li
- Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University and Chongqing Clinical Research Center for Geriatrics, Chongqing, China
| | - Ao Wang
- Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University and Chongqing Clinical Research Center for Geriatrics, Chongqing, China
| | - Ling Li
- Key Laboratory of Diagnostic Medicine (Ministry of Education) and Department of Clinical Biochemistry, College of Laboratory Medicine, Chongqing Medical University, Chongqing, China
| | - Hua Liu
- Department of Pediatrics, University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Gangyi Yang
- Department of Endocrinology, The Second Affiliated Hospital, Chongqing Medical University and Chongqing Clinical Research Center for Geriatrics, Chongqing, China
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