Results 131 to 140 of about 1,594,352 (310)

Immunomodulation for type 1 diabetes mellitus

International Journal of Clinical Practice, 2010
Type 1 diabetes (T1D) is characterised by immune-mediated pancreatic islet beta-cell destruction. The initial immune response engenders secondary and tertiary responses which collectively result in impairment of beta-cell function, progressive destruction of beta-cells and consequent development of T1D. The process is insidious and may evolve over many
openaire   +3 more sources

Targeted Delivery of α‐ketoglutarate to Macrophages in Bone: A Novel Therapeutic Strategy for Improving Fracture Healing in Type 2 Diabetes

Advanced Science, EarlyView.
The study reveals that glutaminolysis in macrophages is inhibited under type 2 diabetes mellitus (T2DM) conditions, which impedes fracture healing by reducing bone morphogenetic protein 2 (BMP2) production through increased cytosine methylation on the promoter.
Jing Wang, Jiahao Cao, Siqi Zhang, Hongli Chen, Xuebing Yu, Xinli Wang, Tianji Wang, Wei Cao, Wengang Dong, Xinsen Lin, Jia Li, Wei Lei, Yafei Feng   +12 more
wiley   +1 more source

Classic Type 1 Diabetes Mellitus and Fulminant Type 1 Diabetes Mellitus: Similarity and Discrepancy of Immunological Characteristics and Cytokine Profile

Diabetes, Metabolic Syndrome and Obesity, 2021
Lingwen Ying,1,* Yong Zhang,2,* Jun Yin,1,* Yufei Wang,1 Wei Lu,1 Wei Zhu,1 Yuqian Bao,1 Jian Zhou1 1Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital; Shanghai Clinical Center for ...
Ying L, Zhang Y, Yin J, Wang Y, Lu W, Zhu W, Bao Y, Zhou J   +7 more
doaj  

Exploring Biomarker Relationships in Both Type 1 and Type 2 Diabetes Mellitus Through a Bayesian Network Analysis Approach [PDF]

arXiv
Understanding the complex relationships of biomarkers in diabetes is pivotal for advancing treatment strategies, a pressing need in diabetes research. This study applies Bayesian network structure learning to analyze the Shanghai Type 1 and Type 2 diabetes mellitus datasets, revealing complex relationships among key diabetes-related biomarkers.
arxiv  

GAMBARAN POLA MAKAN PASIEN DIABETES MELLITUS TIPE 2 [PDF]

, 2023
Background: Diabetes Mellitus (DM) is a disease caused by a decrease in insulin production due to lack of functioning of the pancreas, resulting in an increase in blood sugar levels in the body.
Anggraini, Sindi Meita
core  

Dehydroepiandrosterone in the type 1 diabetes mellitus

Endocrine Regulations, 2012
Dehydroepiandrosterone (DHEA) is believed to exert, besides others, positive effects on the insulin resistance or its secretion and glucose metabolism. There are several reports dealing with the DHEA levels and its effects in the type 2 diabetes mellitus, but less information is available on the type 1 diabetic subjects. Recently, a report dealing with
Hana Hruskovicova, Michaela Duskova, Martin Hill, Luboslav Stárka   +3 more
openaire   +3 more sources

Mechanisms of Baicalin Alleviates Intestinal Inflammation: Role of M1 Macrophage Polarization and Lactobacillus amylovorus

Advanced Science, EarlyView.
Baicalin alleviates E. coli‐induced intestinal inflammation through dual mechanisms: direct inhibition of the TLR4/IRF/STAT signaling pathway to modulate macrophage polarization and antigen presentation, thereby regulating Th17/Treg cell differentiation; and microbiota‐mediated indirect effects via increasing Lactobacillus amylovorus abundance and ...
Shunfen Zhang, Ruqing Zhong, Miao Zhou, Kai Li, Huiyuan Lv, Huixin Wang, Ye Xu, Dadan Liu, Qiugang Ma, Liang Chen, Hongfu Zhang   +10 more
wiley   +1 more source

Prussian‐Blue Catalysis and NFC Synergy: a Battery‐Free Laser‐Induced Graphene‐Based Platform for Urine Glucose Monitoring at Point‐of‐Care

Advanced Science, EarlyView.
In this study, Merkoçi and his research group present a polymer‐based synthesis to enhance the stability of Prussian blue (PB) nanoparticles. The resulting PB‐infused catalytic hetero‐interface architecture (PB‐CHIA) achieves complete two‐dimensional (2D) and three‐dimensional (3D) substrate coverage (glassy carbon and laser‐induced graphene electrodes)
Sinan Uzunçar, Gabriel Maroli, Massimo Urban, Arben Merkoçi   +3 more
wiley   +1 more source

Integrating Bayesian Approaches and Expert Knowledge for Forecasting Continuous Glucose Monitoring Values in Type 2 Diabetes Mellitus [PDF]

arXiv
Precise and timely forecasting of blood glucose levels is essential for effective diabetes management. While extensive research has been conducted on Type 1 diabetes mellitus, Type 2 diabetes mellitus (T2DM) presents unique challenges due to its heterogeneity, underscoring the need for specialized blood glucose forecasting systems.
arxiv  

Explainable Deep Multilevel Attention Learning for Predicting Protein Carbonylation Sites

Advanced Science, EarlyView.
Selective carbonylation sites (SCANS) are conceptualized, designed, evaluated, and released. SCANS captures segment‐level, protein‐level, and residue embeddings features. It utilizes elaborate loss function to penalize cross‐predictions at the residue level.
Jian Zhang, Jingjing Qian, Pei Wang, Xuan Liu, Fuhao Zhang, Haiting Chai, Quan Zou   +6 more
wiley   +1 more source