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      Blood DNA methylation at TXNIP and glycemic changes in response to weight-loss diet interventions: the POUNDS Lost Trial

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          Abstract

          Background:

          Thioredoxin Interacting Protein ( TXNIP) functions as a master regulator for glucose homeostasis. Hypomethylation at the 5’-cytosine-phosphate-guanine-3’ (CpG) site cg19693031 of TXNIP has been consistently related to islet dysfunction, hyperglycemia, and type 2 diabetes. DNA methylation (DNAm) may reveal the missing mechanistic link between obesity and type 2 diabetes. We hypothesize that baseline DNAm level at TXNIP in blood may be associated with glycemic traits and their changes in response to weight-loss diet interventions.

          Methods:

          We included 639 adult participants with overweight or obesity, who participated in a 2-year randomized weight-loss diet intervention. Baseline blood DNAm levels were profiled by high-resolution methylC-capture sequencing. We defined the regional DNAm level of TXNIP as the average methylation level over CpGs within 500 bp of cg19693031. Generalized linear regression models were used for main analyses.

          Results:

          We found that higher regional DNAm at TXNIP was significantly correlated with lower fasting glucose, HbA1c, and Homeostatic Model Assessment of Insulin Resistance (HOMA-IR) at baseline ( P<0.05 for all). Significant interactions were observed between dietary protein intake and DNAm on changes in insulin ( P-interaction=0.007) and HOMA-IR ( P-interaction=0.009) at 6 months. In participants with the highest tertile of regional DNAm at TXNIP, average protein (15%) intake was associated with a greater reduction in insulin (β: −0.14; 95% CI: −0.24, −0.03; P=0.011) and HOMA-IR (β: −0.15; 95% CI: −0.26, −0.03; P=0.014) than high protein (25%) intake, whereas no significant associations were found in those with the lower tertiles ( P>0.05). The interaction was attenuated to be non-significant at 2 years, presumably related to decreasing adherence to the diet intervention.

          Conclusions:

          Our data indicate that higher regional DNAm level at TXNIP was significantly associated with better fasting glucose, HbA1c, and HOMA-IR; and people with higher regional DNAm levels benefited more in insulin and HOMA-IR improvement by taking the average-protein weight-loss diet.

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          Most cited references40

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          Cutadapt removes adapter sequences from high-throughput sequencing reads

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            Homeostasis model assessment: insulin resistance and beta-cell function from fasting plasma glucose and insulin concentrations in man.

            The steady-state basal plasma glucose and insulin concentrations are determined by their interaction in a feedback loop. A computer-solved model has been used to predict the homeostatic concentrations which arise from varying degrees beta-cell deficiency and insulin resistance. Comparison of a patient's fasting values with the model's predictions allows a quantitative assessment of the contributions of insulin resistance and deficient beta-cell function to the fasting hyperglycaemia (homeostasis model assessment, HOMA). The accuracy and precision of the estimate have been determined by comparison with independent measures of insulin resistance and beta-cell function using hyperglycaemic and euglycaemic clamps and an intravenous glucose tolerance test. The estimate of insulin resistance obtained by homeostasis model assessment correlated with estimates obtained by use of the euglycaemic clamp (Rs = 0.88, p less than 0.0001), the fasting insulin concentration (Rs = 0.81, p less than 0.0001), and the hyperglycaemic clamp, (Rs = 0.69, p less than 0.01). There was no correlation with any aspect of insulin-receptor binding. The estimate of deficient beta-cell function obtained by homeostasis model assessment correlated with that derived using the hyperglycaemic clamp (Rs = 0.61, p less than 0.01) and with the estimate from the intravenous glucose tolerance test (Rs = 0.64, p less than 0.05). The low precision of the estimates from the model (coefficients of variation: 31% for insulin resistance and 32% for beta-cell deficit) limits its use, but the correlation of the model's estimates with patient data accords with the hypothesis that basal glucose and insulin interactions are largely determined by a simple feed back loop.
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              Homeostasis model assessment: insulin resistance and ?-cell function from fasting plasma glucose and insulin concentrations in man

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                Author and article information

                Journal
                101256108
                32579
                Int J Obes (Lond)
                Int J Obes (Lond)
                International journal of obesity (2005)
                0307-0565
                1476-5497
                1 February 2022
                June 2022
                14 February 2022
                14 August 2022
                : 46
                : 6
                : 1122-1127
                Affiliations
                [1. ]Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, New Orleans, Louisiana, US
                [2. ]Digital Technologies Research Centre, National Research Council Canada, Ottawa, Ontario, Canada
                [3. ]Department of Pediatrics, Genomic Medicine Center, Children’s Mercy Kansas City, Kansas City, Missouri, US
                [4. ]Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel.
                [5. ]Pennington Biomedical Research Center, Louisiana State University, Baton Rouge, Louisiana, US
                [6. ]Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, US
                Author notes

                Contributors

                XL contributed to the study concept and design, analysis, and interpretation of the data, drafting and revising the manuscript. XS contributed to the statistical analysis with critical input. XS, QX, LAB, BSK, EG, and IS contributed to the interpretation of data, critical revision of the manuscript for important intellectual content. GAB and FMS contributed to the interpretation of data, critical revision of the manuscript for important intellectual content, and supervision. LQ contributed to the study concept and design, acquisition of the data, analysis, and interpretation of the data, and funding and study supervision. LQ is the guarantor and takes responsibility for the integrity of the data and the accuracy of the data analyses.

                Corresponding Author: Lu Qi, MD, PhD, Department of Epidemiology, School of Public Health and Tropical Medicine, Tulane University, 1440 Canal Street, Suite 1724, New Orleans, LA, 70112, Telephone: 504-988-7259, Fax: 504-988-3548, lqi1@ 123456tulane.edu
                Article
                NIHMS1775950
                10.1038/s41366-022-01084-5
                9156542
                35165382
                357c3e17-b59b-496f-bff2-51526a9efda9

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                Categories
                Article

                Nutrition & Dietetics
                dna methylation,type 2 diabetes,insulin,insulin resistance,weight-loss diet intervention

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