Zhou, Xiaohai Xu, Jing
Published in
Journal of diabetes investigation
Previous studies have demonstrated a correlation between the serum uric acid-to-high-density lipoprotein cholesterol ratio (UHR) and insulin resistance (IR) in individuals with type 2 diabetes mellitus. However, no existing studies have investigated the relationship between IR and UHR in the general population. Therefore, the primary objective of t...
Wang, Hua Liu, Fentao Zhao, Wenyu Guo, Yiting Mai, Peipei Zhao, Songfeng Wen, Zhiguo Su, Jie Li, Xuan Wang, Yunlong
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Published in
Journal of diabetes investigation
MiRNA let7d-5p has been recently reported to be abnormally expressed in diabetes-associated atherosclerosis (AS). However, it still remains unknown how let7d-5p contributes to the process of atherosclerosis. Twenty fresh tissues and a total of 28 wax block specimens from carotid endarterectomy procedures were obtained from the Luoyang Central Hospi...
Zhang, Xinge Wu, Hongjiang Lau, Eric Sh Fan, Baoqi Tsoi, Kit Ying Tam, Claudia Ht Yang, Aimin Shi, Mai Chow, Elaine Kong, Alice Ps
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Published in
Journal of diabetes investigation
To determine the population health burden attributable to the development of diabetes among women with a history of gestational diabetes mellitus (GDM). We conducted a retrospective analysis of women with a history of GDM attending the Hong Kong Hospital Authority between 2000 and 2019. The time-varying population attributable fraction was calculat...
Hsu, Chih-Yao Li, Hung-Yuan
Published in
Journal of diabetes investigation
Kim, Yong Kyung Won, Kyu Chang Sussel, Lori
Published in
Journal of diabetes investigation
The β-cell relies predominantly on glucose utilization to generate adenosine triphosphate, which is crucial for both cell viability and insulin secretion. The β-cell has evolved remarkable metabolic flexibility to productively respond to shifts in environmental conditions and changes in glucose availability. Although these adaptive responses are im...
Tan, Sarah Ying Tse Rama Chandran, Suresh Yew, Jielin Wong, Andy Jun-Wei Gardner, Daphne Su-Lyn
Published in
Journal of diabetes investigation
Fulminant type 1 diabetes (FT1D) is a unique subtype of type 1 diabetes, characterized by acute absolute insulin deficiency, severe ketosis, and increased risk of hypoglycemia, glycemic variability and microvascular complications. Seven people with FT1D were identified from two tertiary centers in Singapore. Six were Chinese, the mean age was 35 ye...
Yasasilka, Xaviera Riani Lee, Myung-Shik
Published in
Journal of diabetes investigation
Elucidating the molecular mechanism of autophagy was a landmark in understanding not only the physiology of cells and tissues, but also the pathogenesis of diverse diseases, including diabetes and metabolic disorders. Autophagy of pancreatic β-cells plays a pivotal role in the maintenance of the mass, structure and function of β-cells, whose dysreg...
Hayashi, Yusuke Himeno, Tatsuhito Shibata, Yuka Hirai, Nobuhiro Asada-Yamada, Yuriko Sasajima, Sachiko Asano-Hayami, Emi Motegi, Mikio Asano, Saeko Kato, Makoto
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Published in
Journal of diabetes investigation
This study aimed to investigate the diagnostic potential of two simplified tests, a point-of-care nerve conduction device (DPNCheck™) and a coefficient of variation of R-R intervals (CVR-R), as an alternative to traditional nerve conduction studies for the diagnosis of diabetic polyneuropathy (DPN) in patients with diabetes. Inpatients with type 1 ...
Sasako, Takayoshi Suzuki, Ken Odawara, Sara Suwanai, Hirotsugu Akuta, Naoko Kubota, Naoto Ueki, Kohjiro Kadowaki, Takashi Yamauchi, Toshimasa
Published in
Journal of diabetes investigation
The potential liability to hypercatabolism in lipodystrophy remains to be fully elucidated. Here we report a 28-year-old Japanese woman with acquired generalized lipodystrophy, who presented with recurrence of panniculitis and anemia. After corticosteroid treatment was started, she showed rapid reductions in body weight and lean mass by 15% at maxi...
Xu, Ying Qiu, Shanhu Ye, Jinli Chen, Dan Wang, Donglei Zhou, Xiaoying Sun, Zilin
Published in
Journal of diabetes investigation
Machine learning algorithms based on the artificial neural network (ANN), support vector machine, naive Bayesian or logistic regression model are commonly used to identify diabetes. This study investigated which approach performed the best and whether muscle strength provided any incremental benefit in identifying undiagnosed diabetes in Chinese ad...