Results 141 to 150 of about 13,469 (305)

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

open access: yesThe 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   +10 more
wiley   +1 more source

Correlations Among Glycemia and Glucose Variability, Thyroid Hormones, and Albuminuria in Patients With Type 2 Diabetes Mellitus

open access: yesThe Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Hyperglycemia, glucose fluctuations, and thyroid dysfunction contribute to the progression of diabetic nephropathy. This study aimed to investigate the associations of glycemia, glucose variability, and thyroid hormones with albuminuria in patients with type 2 diabetes mellitus (T2DM). In total, 451 T2DM patients were included.
Na Luo   +12 more
wiley   +1 more source

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

open access: yesMed 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

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

open access: yesMedicine 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   +6 more
wiley   +1 more source

Global Leadership Initiative on Malnutrition as a predictor of mortality and prolonged hospitalization in emergency department patients: A prospective cohort study

open access: yesNutrition in Clinical Practice, EarlyView.
Abstract Background Early diagnosis of malnutrition is essential for rapid decision‐making regarding nutrition care to improve patient outcomes. We aimed to evaluate the prevalence of malnutrition using the Global Leadership Initiative on Malnutrition (GLIM) criteria and to assess the association of GLIM with 1‐year mortality and length of hospital ...
Renata Wolf   +4 more
wiley   +1 more source

The Renoprotective Effects of Sodium Valproate as a Histone Deacetylase Inhibitor on Diabetic Nephropathy

open access: yesMajallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Bābul, 2017
BACKGROUND AND OBJECTIVE: Diabetic nephropathy (DN), as the most common cause of end-stage renal failure, caused by protein kinase C pathway and reactive oxygen species.
R Ataee, H Esmaeeli
doaj  

Association between serum bicarbonate and low mid‐upper arm circumference in patients with non‐dialysis‐dependent chronic kidney disease: A cross‐sectional study

open access: yesNutrition in Clinical Practice, EarlyView.
Abstract Background Although previous experimental studies showed that metabolic acidosis promoted muscle catabolism and impaired protein synthesis, few epidemiological studies reported an independent association between serum bicarbonate levels and muscle atrophy in patients with chronic kidney disease (CKD).
Nobuhisa Morimoto   +13 more
wiley   +1 more source

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

open access: yesOrgan 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

Migrasomes, Matrix‐Bound Nanovesicles, and More: Messengers in the Matrix

open access: yesPROTEOMICS, EarlyView.
ABSTRACT Extracellular vesicles (EVs) and particles (EPs) are diverse micro‐ and nanoparticles that circulate in bodily fluids and can attach to, or be deposited onto, the extracellular matrix (ECM) and other surfaces. To date, the nomenclature and classification of matrix‐bound or matrix‐associated EVs and EPs (MEVPs) have been unclear, largely due to
Anna V. Kolesov   +3 more
wiley   +1 more source

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