Results 121 to 130 of about 481,070 (386)

5‐Methylcytosine Analysis of miRNAs in Minimal Change Disease

open access: yesBiotechnology and Applied Biochemistry, EarlyView.
ABSTRACT Minimal change disease (MCD) is a glomerular disorder, which is the most common cause of nephrotic syndrome in children. Additionally, the prevalence of MCD in adults has been increasing in recent years. During protein synthesis, noncoding RNAs can be regulated through a variety of modifications, which helps preserve biological diversity and ...
Huiyi Zeng   +14 more
wiley   +1 more source

Pharmacologic approaches against advanced glycation end products (ages) in diabetic cardiovascular disease [PDF]

open access: yes, 2015
Advanced Glycation End-Products (AGEs) are signaling proteins associated to several vascular and neurological complications in diabetic and non-diabetic patients.
Avtaar Singh, Sanjeet Singh   +6 more
core   +2 more sources

Evaluating and leveraging large language models in clinical pharmacology and therapeutics assessment: From exam takers to exam shapers

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims In medical education, the ability of large language models (LLMs) to match human performance raises questions about their potential as educational tools. This study evaluates LLMs' performance on Clinical Pharmacology and Therapeutics (CPT) exams, comparing their results to medical students and exploring their ability to identify poorly formulated
Alexandre O. Gérard   +11 more
wiley   +1 more source

Circ-0069561 as a novel diagnostic biomarker for progression of diabetic kidney disease

open access: yesRenal Failure
Background Circular RNAs (circRNAs) are non-coding RNAs that are key regulators of the initiation and progression of various human diseases. However, the role of circRNAs in diabetic kidney disease (DKD) remains unknown.Methods Whole high-throughput RNA ...
Chaoyi Chen   +7 more
doaj   +1 more source

Acute kidney injury on chronic kidney disease: From congestive heart failure to light chain deposition disease and cast nephropathy in multiple myeloma [PDF]

open access: yes, 2019
Acute on chronic renal failure is a common but notably broad diagnosis. We present a 64-year-old man with a history of diastolic heart failure and chronic kidney disease, admitted for an elevated creatinine.
Cheng, Steven   +3 more
core   +1 more source

Obstructive Nephropathy.

open access: yesInternal Medicine, 2000
Obstructive nephropathy is a relatively common entity that is treatable and often reversible. It occurs at all ages from infancy to elderly subjects. Obstructive uropathy is classified according to the degree, duration and site of the obstruction. It is the result of functional or anatomic lesions located in the urinary tract. The causes of obstructive
openaire   +4 more sources

Cost–benefit analysis of screening programme for diabetic retinopathy in Bulgaria

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims Late‐diagnosed diabetic retinopathy (DR) is difficult and expensive to treat. Screening programmes can identify the disease early and reduce the costs of its future treatment. This study aims to analyse the cost–benefit of screening programmes for DR.
Iva Nenkova   +5 more
wiley   +1 more source

Functional expression of TRPV4 channels in human collecting duct cells: implications for secondary hypertension in diabetic nephropathy [PDF]

open access: yes, 2012
Background. The Vanilloid subfamily of transient receptor potential (TRPV) ion channels has been widely implicated in detecting osmotic and mechanical stress.
Bland, Rosemary   +2 more
core   +3 more sources

Nephropathies [PDF]

open access: yesActa Physiologica, 2017
A, Westphal, S, Reuter, R, Mrowka
openaire   +2 more sources

Machine learning methods for predicting adverse drug events: A systematic review

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Abstract Predicting adverse drug events (ADEs) in outpatient settings is crucial for improving medication safety, identifying high‐risk patients and reducing health‐care costs. While traditional methods struggle with the complexity of health‐care data, machine learning (ML) models offer improved prediction capabilities; however, their effectiveness in ...
Niaz Chalabianloo   +8 more
wiley   +1 more source

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