Advances in screening, early diagnosis and accurate staging of diabetic neuropathy

J Carmichael, H Fadavi, F Ishibashi… - Frontiers in …, 2021 - frontiersin.org
The incidence of both type 1 and type 2 diabetes is increasing worldwide. Diabetic
peripheral neuropathy (DPN) is among the most distressing and costly of all the chronic …

[HTML][HTML] Diabetic peripheral neuropathy: pathogenetic mechanisms and treatment

J Zhu, Z Hu, Y Luo, Y Liu, W Luo, X Du… - Frontiers in …, 2024 - frontiersin.org
Diabetic peripheral neuropathy (DPN) refers to the development of peripheral nerve
dysfunction in patients with diabetes when other causes are excluded. Diabetic distal …

Corroded bolt identification using mask region-based deep learning trained on synthesized data

QB Ta, TC Huynh, QQ Pham, JT Kim - Sensors, 2022 - mdpi.com
The performance of a neural network depends on the availability of datasets, and most deep
learning techniques lack accuracy and generalization when they are trained using limited …

Identification of immune infiltration and the potential biomarkers in diabetic peripheral neuropathy through bioinformatics and machine learning methods

W Li, J Guo, J Chen, H Yao, R Mao, C Li, G Zhang… - Biomolecules, 2022 - mdpi.com
Diabetic peripheral neuropathy (DPN) is one of the most common chronic complications in
diabetes. Previous studies have shown that chronic neuroinflammation was associated with …

The association between serum uric acid and diabetic complications in patients with type 2 diabetes mellitus by gender: a cross-sectional study

Y Hu, Q Li, R Min, Y Deng, Y Xu, L Gao - PeerJ, 2021 - peerj.com
Background The relationship between serum uric acid (SUA) and several diabetic
complications or co-morbidities remains a matter of debate. The study aims to explore the …

Aldose reductase inhibitor ranirestat significantly improves nerve conduction velocity in diabetic polyneuropathy: A randomized double‐blind placebo‐controlled study …

K Sekiguchi, N Kohara, M Baba… - Journal of diabetes …, 2019 - Wiley Online Library
Abstract Aims/Introduction Diabetic polyneuropathy is one of the most frequent diabetic
complications, and impairs patients' quality of life. We evaluated the efficacy and safety of …

Performance analysis of noninvasive electrophysiological methods for the assessment of diabetic sensorimotor polyneuropathy in clinical research: a systematic …

F Haque, MBI Reaz, SHM Ali, N Arsad… - Scientific Reports, 2020 - nature.com
Despite the availability of various clinical trials that used different diagnostic methods to
identify diabetic sensorimotor polyneuropathy (DSPN), no reliable studies that prove the …

Emerging roles of microRNAs as biomarkers and therapeutic targets for diabetic neuropathy

B Fan, M Chopp, ZG Zhang, XS Liu - Frontiers in Neurology, 2020 - frontiersin.org
Diabetic neuropathy (DN) is the most prevalent chronic complication of diabetes mellitus.
The exact pathophysiological mechanisms of DN are unclear; however, communication …

Association of peripheral neuropathy with subclinical left ventricular dysfunction in patients with type 2 diabetes

Y Chen, Y Wang, Y Zhang, M Li, W Zhang… - Journal of diabetes and …, 2023 - Elsevier
Objectives The impacts of diabetic peripheral neuropathy (DPN) on clinical manifestations of
left ventricular (LV) function in patients suffering from type 2 diabetes mellitus (T2DM) and …

Assessment of peripheral neuropathy in type 2 diabetes by diffusion tensor imaging: A case-control study

X Xia, L Dai, H Zhou, P Chen, S Liu, W Yang… - European Journal of …, 2021 - Elsevier
Objectives This study aimed to evaluate diabetes peripheral neuropathy (DPN) by diffusion
tensor imaging (DTI) and explore the correlation between DTI parameters and …