Relationship between serum indirect bilirubin levels and skeletal muscle mass in older male and female patients with type 2 diabetes.

OBJECTIVE: We previously showed that low serum bilirubin levels are associated with disability in quality of daily living in older patients with diabetes. However, the underlying mechanism is not fully understood. The aim of this study is to assess the relationship between serum bilirubin levels and skeletal muscle mass in older patients with type2 diabetes. METHODS: A total of 272 older patients with type2 diabetes (152 male and 120 female) aged 60 years and over were continuously recruited from April 2020 to July 2020. Body composition was evaluated by bioelectrical impedance analysis. The skeletal muscle mass index (SMI) was calculated as appendicular muscle mass divided by height squared (m2). RESULTS: The SMI was markedly lower in old-old patients (aged 75 years and over) than in young-old patients (aged 60-74 years) in both male and female (7.1 ± 0.8 kg/m2 vs 7.6 ± 0.9 kg/m2, P<0.001; 5.5 ± 0.9 kg/m2 vs 6.3 ± 0.8 kg/m2, P<0.001, respectively). Multivariate regression analysis showed that the SMI was associated with body mass index (BMI) (p<0.001) and age (p = 0.048) in male young-old patients, while it was associated with BMI (p<0.001), age (p = 0.008), and serum indirect bilirubin levels (p = 0.038) in male old-old patients. In female, the SMI was associated with BMI (p<0.001) and age (p = 0.042) in young-old patients and associated with BMI alone (p<0.001) in old-old patients. CONCLUSION: Serum indirect bilirubin levels may be associated with the decreased skeletal muscle mass in male older patients (aged 75 years and over) with type 2 diabetes.

A simplified prediction model for end-stage kidney disease in patients with diabetes.

This study aimed to develop a simplified model for predicting end-stage kidney disease (ESKD) in patients with diabetes. The cohort included 2549 individuals who were followed up at Kyushu University Hospital (Japan) between January 1, 2008 and December 31, 2018. The outcome was a composite of ESKD, defined as an eGFR < 15 mL min-1 [1.73 m]-2, dialysis, or renal transplantation. The mean follow-up was 5.6 [Formula: see text] 3.7 years, and ESKD occurred in 176 (6.2%) individuals. Both a machine learning random forest model and a Cox proportional hazard model selected eGFR, proteinuria, hemoglobin A1c, serum albumin levels, and serum bilirubin levels in a descending order as the most important predictors among 20 baseline variables. A model using eGFR, proteinuria and hemoglobin A1c showed a relatively good performance in discrimination (C-statistic: 0.842) and calibration (Nam and D'Agostino [Formula: see text]2 statistic: 22.4). Adding serum albumin and bilirubin levels to the model further improved it, and a model using 5 variables showed the best performance in the predictive ability (C-statistic: 0.895, [Formula: see text]2 statistic: 7.7). The accuracy of this model was validated in an external cohort (n = 5153). This novel simplified prediction model may be clinically useful for predicting ESKD in patients with diabetes.

Clinical usefulness of human serum nonmercaptalbumin to mercaptalbumin ratio as a biomarker for diabetic complications and disability in activities of daily living in elderly patients with diabetes.

BACKGROUND: Oxidative stress may play an important role in the development of diabetic complications. The ratio of human nonmercaptalbumin (HNA; oxidized form) to human mercaptalbumin (HMA; reduced form) has attracted attention as an indicator for systemic redox states. In this study, we measured the ratio in elderly patients with diabetes and evaluated its association with diabetic complications and disability in activities of daily living (ADL disability). METHODS: One hundred twenty-six elderly patients with diabetes, aged 70 years and older, under medical care at Yukuhashi Central Hospital from April 2018 to June 2018, were continuously recruited. HNA%, defined as HNA / (HNA + HMA) × 100, was measured by a high-performance liquid chromatography method. First, multivariate regression analysis was performed to evaluate which variables were significant determinants for HNA%. Next, to evaluate the association of HNA% with ADL disability, logistic regression analysis in various models was performed. Then we plotted the receiver operating characteristic (ROC) curve and calculated the under area the curve (AUC), sensitivity, and specificity in each model. RESULTS: In elderly patients with diabetes, multiple regression analysis showed that serum bilirubin levels and albumin levels, both of which are major endogenous anti-oxidants, and chronic renal failure (or proliferative nephropathy) were significantly associated with HNA%, suggesting that HNA% may be a good biomarker for oxidative stress in those patients. We then evaluated the association of HNA% with ADL disability in various logistic regression models. Model using only HNA% showed that it was a significant determinant for ADL disability (OR 1.158, 95% CI 1.077-1.244, P < 0.001). Model using HNA% and age showed that both variables were significant determinants for ADL disability (OR 1.160, 95% CI 1.069-1.258, P < 0.001; OR 1.258, 95% CI 1.110-1.427, P < 0.001, respectively). ROC analysis showed that the AUC of HNA% alone was 0.765. The AUC of model using HNA% and age was further increased to 0.866. CONCLUSIONS: HNA% was significantly associated with diabetic complications and ADL disability, thereby may be clinically useful as an oxidative stress marker in elderly patients with diabetes.

A diabetic patient in whom Hb Weesp was incidentally detected when her HbA1c level was measured.

The level of glycated hemoglobin A1c (HbA1c) is widely used to monitor long-term glycemic control in patients with diabetes mellitus. There are more than 30 methods for measuring HbA1c levels. In recent times, high-performance liquid chromatography (HPLC) has become the most commonly used method in Japan. However, HPLC-based HbA1c level measurements do not accurately reflect glycemic control in the presence of Hb variants. We report the case of a patient with type 2 diabetes mellitus, who was incidentally found to having an extremely rare Hb variant. A 69-year-old Japanese female visited our clinic and was diagnosed with diabetes mellitus. Her HbA1c level, which was measured using HPLC at our clinic, could not be determined. DNA sequencing revealed a heterozygous mutation in the α1 globin gene (HBA1: c.301C > T, p.Leu101Phe). Hb Weesp was detected. Many Hb variants have been reported; however, to the best of our knowledge, this is only the second report about Hb Weesp in the world and the first from Japan. Clinicians should consider the possibility of Hb variants in cases in which abnormal elution patterns are detected during the measurement of HbA1c using HPLC.

Serum bilirubin level is a strong predictor for disability in activities in daily living (ADL) in Japanese elderly patients with diabetes.

Elderly patients with diabetes are at increased risk of frailty and disability in activities of daily living (ADL). Recent evidence has shown that oxidative stress is associated with these conditions. In this cross-sectional study, we aimed to assess whether serum level of bilirubin, a strong endogenous antioxidant, can predict ADL disability in elderly patients with diabetes. Forty elderly patients aged 70 years and older with diabetes and ADL disability and 158 elderly patients with diabetes and without ADL disability were continuously recruited. Multivariate logistic regression models showed that serum bilirubin level was a significant predictor for ADL disability. Receiver operating characteristic analysis showed that the area under the curve (AUC) of serum bilirubin level alone for ADL disability was 0.887 (95% CI 0.837-0.936, P < 0.001) and the cut-off value was 0.4 mg/dL (sensitivity = 88.0% and specificity = 65.0%). The predictive ability was further increased by the addition of age (AUC = 0.921) or addition of age, body mass index, red blood cell count, cerebrovascular disease and chronic renal failure (AUC = 0.953). In conclusion, low serum bilirubin level is a strong predictive biomarker for ADL disability in elderly patients with diabetes, and its clinical utility is suggested.

Genome-wide linkage analysis of type 2 diabetes mellitus reconfirms the susceptibility locus on 11p13-p12 in Japanese.

Type 2 diabetes mellitus is a heterogeneous disorder, and the development of type 2 diabetes mellitus is associated with both insulin secretion defect and insulin resistance. The primary metabolic defect leading to type 2 diabetes mellitus has been thought to be varied among populations, especially in Japanese and Caucasians. Here, we have done the genome-wide scan for type 2 diabetes mellitus using 102 affected Japanese sib-pairs to identify the genetic factors predisposing to type 2 diabetes mellitus. Nonparametric linkage analysis showed one suggestive evidence for linkage to 11p13-p12 [D11S905: two-point maximum LOD score (MLS) of 2.89 and multipoint MLS of 2.32] and one nominally significant evidence for linkage to 6q15-q16 (D6S462: two-point MLS of 2.02). Interestingly, the 11p13-p12 region was reported to be a susceptibility locus for Japanese type 2 diabetes mellitus with suggestive evidence of linkage, and D11S905 was within 5 cM to D11S935 with the highest MLS in the previous linkage analysis reported. The only overlapped susceptibility region with suggestive evidence of linkage for Japanese type 2 diabetes mellitus was D11S935-D11S905 among the three reports including this study. These results taken together suggest that a susceptibility gene for type 2 diabetes mellitus in Japanese will reside in 11p13-p12.