Association between DNA methylation levels of thioredoxin-interacting protein (TXNIP) and changes in glycemic traits: a longitudinal population-based study.

Thioredoxin-interacting protein (TXNIP) plays an important role in glucose metabolism, and its expression is regulated by DNA methylation (DNAm). Although the association between TXNIP DNAm and type 2 diabetes mellitus has been demonstrated in studies with a cross-sectional design, prospective studies are needed. We therefore examined the association between TXNIP DNAm levels and longitudinal changes in glycemic traits by conducting a longitudinal study involving 169 subjects who underwent two health checkups in 2015 and 2019. We used a pyrosequencing assay to determine TXNIP DNAm levels in leukocytes (cg19693031). Logistic regression analyses were performed to assess the associations between dichotomized TXNIP DNAm levels and marked increases in glycemic traits. At four years, the TXNIP DNA hypomethylation group had a higher percentage of changes in fasting plasma glucose (FPG) and hemoglobin A1c (HbA1c) compared to those in the hypermethylation group. The adjusted odds ratios for FPG and HbA1c levels were significantly higher in the TXNIP DNA hypomethylation group than in the hypermethylation group. We found that TXNIP DNA hypomethylation at baseline was associated with a marked increase in glycemic traits. Leukocyte TXNIP DNAm status could potentially be used as an early biomarker for impaired glucose homeostasis.

Assessment of the renal angina index in patients hospitalized in a cardiac intensive care unit.

The renal angina index (RAI) is a validated scoring tool for predicting acute kidney injury (AKI). We investigated the efficacy of the RAI in 2436 heterogeneous patients (mean age, 70 years) treated in cardiac intensive care units (CICUs). The RAI was calculated from creatinine and patient condition scores. AKI was diagnosed by the Kidney Disease: Improving Global Outcome criteria. The primary and secondary endpoints were the development of severe AKI and all-cause mortality, respectively. Four hundred thirty-three patients developed AKI, 87 of them severe. In multivariate analyses, the RAI was a significant independent predictor of severe AKI. During the 12-month follow-up period, 210 patients suffered all-cause death. Elevated RAI was independently associated with all-cause mortality, as was NT-proBNP (p < 0.001). The RAI is a potent predictor not only of severe AKI but also of adverse outcomes and substantially improved the 12-month risk stratification of patients hospitalized in CICUs.

The Ratio of miR-122 to miR-20a (miR-122/miR-20a) Is a Useful Minimally Invasive Biomarker for Non-Alcoholic Fatty Liver Disease Detection.

Background: The increasing prevalence of non-alcoholic fatty liver disease (NAFLD) has become a global health problem. NAFLD has few initial symptoms and may be difficult to detect early, so there is need for a minimally invasive early detection marker. We hypothesized that miR-122 and miR-20a levels combined, as the miR-122/miR-20a ratio might detect NAFLD more sensitively. Methods: This study involved 167 participants with low alcohol intake. Those who had an increase in echogenicity of the liver parenchyma and hepato-renal contrast on ultrasonography were classified as the NAFLD group (n = 44), which was further classified into mild (n = 26) and severe (n = 18) groups based on echogenic intensity and hepatic vessel and diaphragm visualization. Participants without fatty liver were included in the normal group, except for those with an abnormal body mass index, glycated hemoglobin, and systolic blood pressure (n = 123) values. Serum miR-122 and miR-20a expression levels in participants were measured by real-time polymerase chain reaction, and the miR-122/miR-20a was calculated. Results: In the NAFLD group, miR-122 expression was significantly higher and the miR-20a was significantly lower than in the normal group, in agreement with previous studies. miR-122/miR-20a was also significantly higher in the NAFLD group. Receiver operating characteristic curve analysis was performed with miR-122/miR-20a as an NAFLD detection marker, and the area under the curve of miR-122/miR-20a was significantly larger than that of miR-122 or miR-20a alone. Conclusions: The miR-122/miR-20a ratio, combined with miR-122 and miR-20a levels, is a useful biomarker to detect NAFLD with high sensitivity.

Dataset dependency of low-density lipoprotein-cholesterol estimation by machine learning.

OBJECTIVES: We evaluated the applicability of a machine learning-based low-density lipoprotein-cholesterol (LDL-C) estimation method and the influence of the characteristics of the training datasets. METHODS: Three training datasets were chosen from training datasets: health check-up participants at the Resource Center for Health Science (N = 2664), clinical patients at Gifu University Hospital (N = 7409), and clinical patients at Fujita Health University Hospital (N = 14,842). Nine different machine learning models were constructed through hyperparameter tuning and 10-fold cross-validation. Another test dataset of another 3711 clinical patients at Fujita Health University Hospital was selected as the test set used for comparing and validating the model against the Friedewald formula and the Martin method. RESULTS: The coefficients of determination of the models trained on the health check-up dataset produced coefficients of determination that were equal to or inferior to those of the Martin method. In contrast, the coefficients of determination of several models trained on clinical patients exceeded those of the Martin method. The means of the differences and the convergences to the direct method were higher for the models trained on the clinical patients' dataset than for those trained on the health check-up participants' dataset. The models trained on the latter dataset tended to overestimate the 2019 ESC/EAS Guideline for LDL-cholesterol classification. CONCLUSION: Although machine learning models provide valuable method for LDL-C estimates, they should be trained on datasets with matched characteristics. The versatility of machine learning methods is another important consideration.

Comparison of glomerular filtration rate estimating formulas among Japanese adults without kidney disease.

BACKGROUND: Previous studies have proposed different formulas of estimating glomerular filtration rate (eGFR) among clinical patients. The comprehensive comparison of eGFR formulas is not well established in a Japanese population. We compared eGFR values and chronic kidney disease (CKD) classification of nine different eGFR in a Japanese general population sample. METHODS: We analyzed 469 Japanese community-dwelling adults (184 men) without any self-reported kidney disease. GFR estimated using the 4- and 6-parameter Modification of Diet in Renal Disease (MDRD) formulas (MDRD4 and MDRD6); the CKD-EPI formulas based on creatinine with (CKD-EPI-2009) and without race coefficient (CKD-EPI-2021), on cystatin C (CKD-EPI-Cys), on both (CKD-EPI-CreCys); the Japanese creatinine-based formula (JPN-Cre), cystatin C-based formula (JPN-Cys), and modified CKD-EPI formula (JPN-CKD-EPI). CKD stages were defined by KDIGO guidelines (eGFR < 60 ml/min/1.73 m2). RESULTS: eGFRJPN-Cre (mean = 71.2; SD = 14.3) were much lower than eGFRCKD-EPI-2021 (mean = 94.2; SD = 12.7), while eGFRJPN-Cys (mean = 102.8; SD = 24.2) was comparable to the MDRD and CKD-EPI formulas. The difference between eGFRCKD-EPI-2021 and eGFRJPN-Cre showed a V-shaped distribution across eGFR levels, indicating complex errors between these formulas. We observed very low agreement in CKD classification between eGFRJPN-Cre and the eGFRCKD-EPI-2021 (kappa = 0.13; 95% confidence interval: 0.06, 0.23). CONCLUSIONS: JPN-Cre was substantially different from the CKD-EPI formula without race term (CKD-EPI-2021), which means that it is impossible to recalibrate those with a simple coefficient. Although a comparison with measured GFR should be necessary, choice of the estimation method needs caution in clinical decision-making and academic research.

Validation of the Martin method to estimate low-density lipoprotein cholesterol concentrations in Japanese populations and a modified method for laboratory information system application.

OBJECTIVES: High concentrations of low-density lipoprotein cholesterol (LDL-C) are a risk factor for cardiovascular disease. We validated the efficacy of the Martin method is useful in the estimation of LDL-C concentrations was validated in Japanese populations and derived a modified Martin method for easy laboratory information system applications. METHODS: We created 3 subject groups, including 2664 health check-up participants registered with the Resource Center for Health Science, 29,806 clinical patients (A) in the Gifu University Hospital, and 113,716 clinical patients (B) in the Fujita Health University Hospital. Each method to estimate serum LDL-C concentrations (Friedewald formula, Martin method and modified Martin method) was validated by correlation analysis with serum LDL-C concentrations measured using a direct method. RESULTS: The correlation coefficients with the direct method in terms of the Friedewald formula, Martin method, and modified Martin method were 0.963, 0.972 and 0.970 in the health check-up participants; 0.946, 0.962 and 0.961 in clinical patients A; and 0.961, 0.979 and 0.978 in clinical patients B, respectively. Concordance ratios with using the direct method in the Friedewald formula, Martin method and modified Martin method were 82.8%, 85.5% and 85.3% in the health check-up participants; 76.4%, 80.5% and 80.2% in clinical patients A; and 76.1%, 82.6% and 82.6% in clinical patients B, respectively. CONCLUSION: Our results show that the Martin and modified Martin methods display good performance in terms of the estimation of LDL-C concentrations among triglyceride concentrations of a wide range, and they may thus be useful for estimating LDL-C concentrations.

Association of drinking behaviors with TXNIP DNA methylation levels in leukocytes among the general Japanese population.

Background: Thioredoxin-interacting protein (TXNIP) controls the cellular redox balance by binding to and inhibiting the expression and function of thioredoxin. DNA methylation of the TXNIP gene is involved in the regulation of TXNIP mRNA expression. Changes in TXNIP DNA methylation levels are associated with the development of various diseases such as type 2 diabetes mellitus (T2DM). However, few studies have focused on the influence of lifestyle factors such as alcohol intake on TXNIP DNA methylation.Objectives: This research examines the association of drinking behaviors with TXNIP DNA methylation levels in the general Japanese population.Methods: We conducted a cross-sectional study of 404 subjects (176 males and 228 females) who were divided into non-, moderate and heavy drinkers based on self-reported drinking behaviors. TXNIP DNA methylation levels in leukocytes were determined using a pyrosequencing assay.Results: The mean TXNIP DNA methylation level in heavy drinkers (74.2%) was significantly lower than that in non- and moderate drinkers (non: 77.7%, p < .001; moderate: 76.6%, p = .011). Multivariable linear regression analysis showed that log-transformed values of daily (b = -1.34; p < .001) and cumulative (b = -1.06; p = .001) alcohol consumption were associated with decreased TXNIP DNA methylation levels.Conclusion: TXNIP DNA methylation levels in heavy drinkers was lower than in non- and- moderate drinkers. Decreased TXNIP DNA methylation level increases the expression of TXNIP and elevates the risk of developing of diseases such as T2DM. Therefore, decreasing alcohol use in heavy drinkers may lessen the likelihood of some alcohol-related illnesses moderated through TXNIP DNA methylation.

Association between circulating microRNAs and changes in kidney function: A five-year prospective study among Japanese adults without CKD.

BACKGROUND: Although a number of microRNAs (miRNA) reflecting kidney function has been identified, prospective studies are now urgently needed to determine a clinical utility of these miRNAs among general populations. The purpose of this study was to examine the associations between serum miRNAs and kidney function in a population-based study. METHODS: We conducted a five-year prospective study (2012-2017) of 169 individuals without chronic kidney disease (CKD) at the baseline survey (mean age, 62.5; 96 women). The real-time qPCR was used to measure serum levels of five previously reported miRNAs. Participants with eGFR < 60 mL/min/1.73 m2 were defined as having CKD. Changes in eGFR were defined as eGFR2017 - eGFR2012. RESULTS: After adjusting for covariates including baseline eGFR, lower serum levels (1st tertile) of miR-126 were associated with a greater decline of eGFR (ß [SE] = -3.18 [1.50]) and a higher odds ratio (OR) of CKD onset over five years (OR [95% CI] = 3.85 [1.01-16.8]), compared with the 3rd tertile. CONCLUSIONS: We found baseline serum miR-126 levels were associated with changes in eGFR and new CKD cases in a five-year prospective study. This result suggests that miR-126 may be a potential biomarker of CKD even among general populations.

Analysis of Repeated Measurements of Serum Carotenoid Levels and All-Cause and Cause-Specific Mortality in Japan.

Importance: The associations of levels of diverse serum carotenoids ascertained via repeated measurements with all-cause, cancer, and cardiovascular disease (CVD) mortality risk have not been considered in previous prospective studies. Objective: To investigate the association between repeated measurement of serum carotenoid levels and all-cause and cause-specific mortality risk. Design, Setting, and Participants: This cohort study's baseline data were collected using information from physical examinations from 1990 to 1999. Eligible participants were followed up until December 2017, with a median (interquartile range) follow-up period of 22.3 (15.5-25.3) years. Included individuals were age 40 years or older at the baseline data collection, were residents of the study site in the town of Yakumo, Hokkaido, Japan, and participated in a physical examination at least once from 1990 to 1999. Among eligible participants, after excluding 332 individuals, 3116 individuals were included in the analysis. Data analysis was conducted in April 2020. Exposures: Repeated measurements of 6 serum carotenoid levels and 4 associated indices. Main Outcomes and Measures: All-cause, cancer, and CVD mortality, categorized by International Classification of Diseases, Ninth Revision and International Statistical Classification of Diseases and Related Health Problems, Tenth Revision codes, were recorded. A time-dependent Cox regression model was performed to examine associations between time-varying serum carotenoid levels and mortality. Results: Among 3116 individuals who received physical examinations, the mean (SD) age was 54.7 (10.6) years and 1883 (60.4%) were women. During the follow-up period, 762 deaths from all causes, 253 deaths from cancer, and 210 deaths from CVD were ascertained. In a time-dependent Cox regression analysis, for every 25% higher serum levels of total carotenoids, risks were statistically significantly lower for all-cause mortality (hazard ratio [HR], 0.85; 95% CI, 0.82-0.87; P < .001), cancer mortality (HR, 0.82; 95% CI, 0.78-0.87; P < .001), and CVD mortality (HR, 0.86; 95% CI, 0.81-0.91; P < .001). Using only baseline measures, for every 25% higher serum levels of total carotenoids, risks were also statistically significantly lower for all-cause mortality (HR, 0.92; 95% CI, 0.89-0.95; P < .001), cancer mortality (HR, 0.87; 95% CI, 0.83-0.93; P < .001), and CVD mortality (HR, 0.93; 95% CI, 0.88-0.99; P = .03) but with larger HRs than those associated with repeated measurements. Conclusions and Relevance: This study found that higher levels of serum carotenoids in analysis using repeated measurements were associated with significantly lower all-cause and cause-specific mortality over a follow-up period of 25 years.

Intraoperative Cerebral Measurements Using Implantable Cortical Multimodality Probe.

In this study, a multimodality probe that simultaneously measures electroencephalograms, cerebral hemodynamics, and brain surface temperature was developed. This probe has six channels, and each channel has a platinum electrode for cortical electroencephalogram measurements, light emitting diodes, and photodiodes for hemodynamic measurements using near-infrared spectroscopy (NIRS), and a thermistor for measuring the cerebral surface temperature (BrT). A probe with a width of 8.0 mm and maximum total thickness of 0.7 mm was fabricated using flexible printed circuit board technology for chronic intracranial placement. Brain activity using the prototype probe at the resected site was measured and its function performance was evaluated. Characteristic epileptogenic abnormal electroencephalograms accompanied by polarity reversal between channels occurred at 16 min and 38 s. It was concluded that the brain cells consumed oxygen during the occurrence of abnormal electroencephalograms. At this time, no noticeable change in HbT values could be confirmed.

New Li2FeSiO4-carbon monoliths with controlled macropores: effects of pore properties on electrode performance.

Monolithic Li2FeSiO4-carbon composites with well-defined macropores have been prepared from the silica-based gels containing Li, Fe, and carbon sources. The macroporous precursor gels can be fabricated by the sol-gel method accompanied by phase separation. A fine control of the macropore size in the resultant composites has been achieved by controlling the macropore size of the precursor gels simply by adjusting the starting compositions. The effects of pore properties on Li insertion-extraction capabilities have been investigated by utilizing the resultant Li2FeSiO4-carbon composites as the cathode of lithium ion batteries. The electrodes prepared from the Li2FeSiO4-carbon composites with different macropore sizes exhibit significant differences in the charge-discharge properties. The results strongly suggest that the smaller macropore size (equal to the thinner macropore skeletons) and the presence of micro- and mesopores in the macropore skeletons (hierarchically porous structure) are desirable for a better electrode in the case of Li2FeSiO4, which has extremely low ionic and electrical conductivities.