Role of minerals and trace elements in diabetes and insulin resistance

P Dubey, V Thakur, M Chattopadhyay - Nutrients, 2020 - mdpi.com
Minerals and trace elements are micronutrients that are essential to the human body but
present only in traceable amounts. Nonetheless, they exhibit well-defined biochemical …

The essential element manganese, oxidative stress, and metabolic diseases: links and interactions

L Li, X Yang - Oxidative medicine and cellular longevity, 2018 - Wiley Online Library
Manganese (Mn) is an essential element that is involved in the synthesis and activation of
many enzymes and in the regulation of the metabolism of glucose and lipids in humans. In …

Selenium exposure and the risk of type 2 diabetes: a systematic review and meta-analysis

M Vinceti, T Filippini, KJ Rothman - European journal of epidemiology, 2018 - Springer
In 2007, supplementation with the trace element selenium in a trial was unexpectedly found
to be associated with an excess risk of type 2 diabetes. Given the concerns raised by these …

Consequences of disturbing manganese homeostasis

J Baj, W Flieger, A Barbachowska, B Kowalska… - International Journal of …, 2023 - mdpi.com
Manganese (Mn) is an essential trace element with unique functions in the body; it acts as a
cofactor for many enzymes involved in energy metabolism, the endogenous antioxidant …

[HTML][HTML] Comparative effects of vitamin and mineral supplements in the management of type 2 diabetes in primary care: A systematic review and network meta …

J Xia, J Yu, H Xu, Y Zhou, H Li, S Yin, D Xu… - Pharmacological …, 2023 - Elsevier
Medical nutrition treatment can manage diabetes and slow or prevent its complications. The
comparative effects of micronutrient supplements, however, have not yet been well …

[HTML][HTML] Trace element status in type 2 diabetes: A meta-analysis

N Sanjeevi, J Freeland-Graves… - Journal of clinical and …, 2018 - ncbi.nlm.nih.gov
Objective This meta-analysis aimed to summarize the existing literature on the statuses of
zinc, copper, iron, and manganese in Type 2 diabetes mellitus patients. Methods A literature …

Combining elemental analysis of toenails and machine learning techniques as a non-invasive diagnostic tool for the robust classification of type-2 diabetes

JA Carter, CS Long, BP Smith, TL Smith… - Expert Systems with …, 2019 - Elsevier
Described for the first time is the use of elemental analysis of diabetic toenails and machine
learning techniques for the robust classification of type-2 diabetes. Aluminum, Cs, Ni, V and …

Zinc's role in the glycemic control of patients with type 2 diabetes: a systematic review

GB de Carvalho, PN Brandão-Lima, CSC Maia… - Biometals, 2017 - Springer
Past research has shown the importance of zinc in several metabolic processes, such as the
glucidic metabolism. The present systematic review aims to discuss zinc's participation in the …

Non-invasive diabetes mellitus diagnostics using laser-induced breakdown spectroscopy and support vector machine algorithm

I Rehan, S Khan, MA Gondal, Q Abbas… - Arabian Journal for …, 2024 - Springer
This work employs a support vector machine (SVM) algorithm and laser-induced breakdown
spectroscopy (LIBS) to identify diabetes mellitus in human urine. A total of 35 pathological …

Co-exposure of serum calcium, selenium and vanadium is nonlinearly associated with increased risk of type 2 diabetes mellitus in a Chinese population

Y Lv, L Xie, C Dong, R Yang, T Long, H Yang, L Chen… - Chemosphere, 2021 - Elsevier
Background Metals play an important role in type 2 diabetes mellitus (T2DM). This study
aimed to explore the association of T2DM risk with single metal exposure and multi-metal co …