HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

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.

AbstractBACKGROUND:
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.
AuthorsSaki Fukuhara, Keiko Yasukawa, Masaya Sato, Hitoshi Ikeda, Yukihiro Inoguchi, Tomoaki Etoh, Mitsunori Masakado, Fumio Umeda, Yutaka Yatomi, Teruaki Yamauchi, Toyoshi Inoguchi
JournalMetabolism: clinical and experimental (Metabolism) Vol. 103 Pg. 153995 (02 2020) ISSN: 1532-8600 [Electronic] United States
PMID31672444 (Publication Type: Journal Article)
CopyrightCopyright © 2019 Elsevier Inc. All rights reserved.
Chemical References
  • Biomarkers
  • Serum Albumin
  • mercaptoalbumin
  • nonmercaptalbumin
  • Serum Albumin, Human
Topics
  • Activities of Daily Living
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Biomarkers (blood)
  • Case-Control Studies
  • Diabetes Complications (blood, complications, diagnosis, physiopathology)
  • Diabetes Mellitus (blood, epidemiology, physiopathology)
  • Disability Evaluation
  • Female
  • Follow-Up Studies
  • Geriatric Assessment
  • Humans
  • Male
  • Mobility Limitation
  • Oxidative Stress (physiology)
  • Predictive Value of Tests
  • Sensitivity and Specificity
  • Serum Albumin (analysis, metabolism)
  • Serum Albumin, Human (analysis, metabolism)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: