Results 31 to 40 of about 963,948 (277)

Vitamin D and Type 1 Diabetes Mellitus

Mìžnarodnij Endokrinologìčnij Žurnal, 2016
The article presents data concerning the problem of vitamin D deficiency in adolescents with diabetes mellitus type 1. A correlation between vitamin D deficiency and compensation of the disease is shown.
К.S. Biliaieva, І.О. Тrompinska, О.Ya. Теplytska, М.V. Vlasenko   +3 more
doaj   +1 more source

Glycogenic Hepatopathy in Type 1 Diabetes Mellitus

Case Reports in Hepatology, 2015
Glycogenic hepatopathy is a rare cause of high transaminase levels in type 1 diabetes mellitus. This condition, characterized by elevated liver enzymes and hepatomegaly, is caused by irreversible and excessive accumulation of glycogen in hepatocytes ...
Murat Atmaca, Rifki Ucler, Mehmet Kartal, Ismet Seven, Murat Alay, Irfan Bayram, Sehmus Olmez   +6 more
doaj   +1 more source

Type 1 diabetes in India: Overall insights

Indian Journal of Endocrinology and Metabolism, 2015
Type 1 diabetes mellitus (T1DM) is also on increase like type 2 diabetes, even though not in the same proportion, but still with a trend of 3-5% increase/year. India has three new cases of T1DM/100,000 children of 0-14 years.
Ashok Kumar Das
doaj   +1 more source

Molecular and Biochemical Pathways of Catalpol in Alleviating Diabetes Mellitus and Its Complications

Biomolecules, 2021
Catalpol isolated from Rehmannia glutinosa is a potent antioxidant and investigated against many disorders. This review appraises the key molecular pathways of catalpol against diabetes mellitus and its complications.
Subrat Kumar Bhattamisra, Hui Min Koh, Shin Yean Lim, Hira Choudhury, Manisha Pandey   +4 more
doaj   +1 more source

Type 1 diabetes mellitus-common cases

Indian Journal of Endocrinology and Metabolism, 2015
Tight glycemic control in type 1 diabetes mellitus patients is associated with the risk of hypoglycemia. Diabetic patients are forced to change their lifestyle to adjust to the disease condition and survive it. The best way to manage diabetes would be to
Surender Kumar
doaj   +1 more source

Association of time in range with hemoglobin A1c, glycated albumin and 1,5‐anhydro‐d‐glucitol

Journal of Diabetes Investigation, 2021
Aims/Introduction Hemoglobin A1c (HbA1c), glycated albumin (GA) and 1,5‐anhydro‐d‐glucitol (1,5‐AG) are used as indicators of glycemic control, whereas continuous glucose monitoring (CGM) is used to assess daily glucose profiles.
Mana Ohigashi, Keiko Osugi, Yoshiki Kusunoki, Kahori Washio, Satoshi Matsutani, Taku Tsunoda, Toshihiro Matsuo, Kosuke Konishi, Tomoyuki Katsuno, Mitsuyoshi Namba, Hidenori Koyama   +10 more
doaj   +1 more source

High prevalence and clinical impact of dynapenia and sarcopenia in Japanese patients with type 1 and type 2 diabetes: Findings from the Impact of Diabetes Mellitus on Dynapenia study

Journal of Diabetes Investigation, 2020
The present study aimed to clarify the prevalence and clinical characteristics of sarcopenia and dynapenia, which are muscle weakness with and without low muscle mass, respectively, in Japanese patients with type 1 diabetes mellitus and type 2 diabetes ...
H. Mori, A. Kuroda, S. Yoshida, T. Yasuda, Y. Umayahara, S. Shimizu, K. Ryomoto, K. Yoshiuchi, Tsunehiko Yamamoto, T. Matsuoka, I. Shimomura, M. Matsuhisa   +11 more
semanticscholar   +1 more source

The Causes of Insulin Resistance in Type 1 Diabetes Mellitus: Is There a Place for Quaternary Prevention?

International Journal of Environmental Research and Public Health, 2020
Diabetes mellitus was the first non-communicable disease that was recognized by the United Nations as a 21st-century pandemic problem. Recent scientific reports suggest that people with type 1 diabetes mellitus also develop insulin resistance, which is ...
M. Wołosowicz, B. Lukaszuk, A. Chabowski   +2 more
semanticscholar   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

Progress in diagnosis and treatment of pediatric diabetes in China [PDF]

Zhenduanxue lilun yu shijian
The global incidence of type 1 diabetes mellitus (T1DM) in children and adolescents aged 0-19 years is about 1 211.9/10 million, with an incidence rate of 149.5/1 million person-years. In China, the incidence of T1DM in children and adolescents aged 0-19
PEI Zhou, LUO Feihong
doaj   +1 more source