Results 111 to 120 of about 82,694 (258)

Forsythiaside A Alleviates Kidney Injury and Intestinal Epithelium Dysfunction in IgA Nephropathy by Inhibiting TLR4/NF‐κB Signaling

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT IgA nephropathy (IgAN), the most common form of glomerulonephritis, is a major and growing public health issue. It results from intestinal barrier dysfunction that leads to mesangial deposition of pathogenic galactose‐deficient IgA1 (Gd‐IgA1) and renal inflammation.
Meng‐Si Li, Kai Liu
wiley   +1 more source

088 CONTRAST INDUCED NEPHROPATHY

Kidney International Reports, 2017
Rizna Abdul Cader, Rafidah Mamat, Irene Wong, Pau Kiew Bing, Lau Chee Lan   +4 more
doaj   +1 more source

Lysosome Evanescence Mediates Autophagic Flux Impairment in Glucose Imbalanced Environments

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Schwann cells (SCs) support axonal function and promote nerve regeneration. This study investigated how various glucose concentrations influence SC viability, oxidative stress, and autophagy, which contribute to diabetic neuropathy. RSC96 SCs were cultured under five glucose conditions (0, 2.5, 5.5, 50, or 100 mM) for 24, 48, and 72 h.
Yuan‐Chen Cheng, Ling‐Li Chang, Hung‐Chen Wang, Wei‐Chun Hung, Chia‐Hua Hsieh, Yi‐Hsuan Wang, Kuang‐I Cheng   +6 more
wiley   +1 more source

METTL14 Ameliorates Mitochondrial Dysfunction and Autophagy in Lens Epithelial Cells of Diabetic Cataracts via m6A Modification of RPL3

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Diabetic cataracts are a leading cause of blindness, with lens epithelial cells (LECs) exhibiting mitochondrial dysfunction and autophagy inhibition under high glucose (HG) conditions. Methyltransferase‐like 14 (METTL14), an RNA methyltransferase, regulates N6‐methyladenosine (m6A) RNA modification; however, its role in modulating ...
Rui Li, Xue Wang, Wei Du, Qian Li, Hong‐Ping Cui   +4 more
wiley   +1 more source

Protective Effects of Riociguat Against Contrast‐Induced Nephropathy: An Experimental and Machine Learning‐Based Study in Rats

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Contrast‐induced nephropathy (CIN) is an important cause of acute kidney injury following exposure to iodinated contrast media, and effective preventive strategies remain limited. This study investigated the renoprotective effects of riociguat, a soluble guanylate cyclase stimulator, in an experimental rat model of CIN and explored machine ...
Mustafa Begenc Tascanov, Kenan Toprak, Sibel Turedi, İsmail Koyuncu, Zulkif Tanrıverdi, Necip Fazıl Dedeoglu, Halil Fedai, Asuman Bicer, İbrahim Halil Altıparmak, Recep Demirbag, Gencay Sarıısık   +10 more
wiley   +1 more source

Editorial: Contrast-induced nephropathy

Türk Kardiyoloji Derneği Arşivi, 2013
Sinan Aydoğdu
doaj   +1 more source

Diabetic Peripheral Neuropathy: Molecular Staging, Risk Factors, Therapeutics, and Emerging Trends

Med Research, EarlyView.
The heterogeneous landscape of DPN can be unified through a tripartite pathogenic model encompassing progressive stages of metabolic dysregulation, chronic inflammation, and overt neuronal damage. Within this framework, six clinical subtypes were identified, namely, hyperglycemia‐driven, dyslipidemia‐driven, inflammation‐driven, dysvascularity‐driven ...
Xiaofeng Dai, Mingze Tang
wiley   +1 more source

CONTRAST-INDUCED NEPHROPATHY IN CARDIOLOGY PRACTICE

Российский кардиологический журнал, 2011
Contrast-induced nephropathy (CIN) is an important problem in cardiology practice, due to the wide use of contrast-based diagnostic and therapeutic interventions in cardiac patients.
O. I. Turenko, A. Yu. Lebedeva, I. G. Gordeev, N. A. Volov   +3 more
doaj  

Correlation Between Gut Microbiota, Metabolites, and Diabetic Complications: A Two‐Sample Mendelian Randomization Study

Medicine Advances, EarlyView.
Fang et al. demonstrate a significant causal relationship among gut microbiota, gut metabolites, and diabetic complications, highlighting a biological link underlying mechanisms of diabetic vascular diseases. These findings provide important implications for future therapeutic strategy and risk prediction.
Jiaxi Fang, Leilei Zhai, Chan Huang, Liqin Li, Yong Wang, Jiaojiao Fan, Wei Zhou   +6 more
wiley   +1 more source

From Data to Decisions: How Machine Learning and Generative Artificial Intelligence Are Redefining Precision Medicine in Kidney Transplantation

Organ Medicine, EarlyView.
This review evaluates how machine learning, multimodal integration, and generative AI optimize kidney transplant outcomes. These tools enable superior prediction and personalized therapy but face hurdles in data volume, generalizability, and ethics. Future clinical adoption depends on continued innovation and multidisciplinary collaboration to overcome
Maoxin Liao, Cheng Yang
wiley   +1 more source