Results 71 to 80 of about 954 (132)
Multiple acyl‐Coa dehydrogenase deficiency: an underdiagnosed disorder in adults
Abstract Inherited metabolic diseases, as a first presentation in adults, are an under‐recognised condition associated with significant morbidity and mortality. Diagnosis is challenging because of non‐specific clinical and biochemical findings, resemblance to common conditions such as neuropsychiatric disorders and the misconception that these ...
Ciselle Meier +4 more
wiley +1 more source
Instability of Acylcarnitines in Stored Dried Blood Spots:The Impact on Retrospective Analysis of Biomarkers for Inborn Errors of Metabolism [PDF]
Stored dried blood spots (DBS) can provide valuable samples for the retrospective diagnosis of inborn errors of metabolism, and for validation studies for newborn blood spot screening programs.
Bijsterveld, Klaas +6 more
core +1 more source
Metabolomics Signature in Prediabetes and Diabetes: Insights From Tandem Mass Spectrometry Analysis
This study investigates the metabolic differences between normal, prediabetic and diabetic patients with good and poor glycaemic control (GGC and PGC). These findings could help identify new biomarkers or underlying markers for the early detection and management of diabetes.
Saad Ayyal Jabbar Al‐Rikabi +9 more
wiley +1 more source
SHORT-CHAIN 3-HYDROXYACYL-COA DEHYDROGENASE (SCHAD) DEFICIENCY AND NEWBORN SCREENING BY TANDEM MASS SPECTROMETRY [PDF]
othe
57102 +15 more
core
Role of carnitine in disease [PDF]
Carnitine is a conditionally essential nutrient that plays a vital role in energy production and fatty acid metabolism. Vegetarians possess a greater bioavailability than meat eaters.
Flanagan, Judith L +4 more
core +3 more sources
Glutaric Aciduria Type I (GA-1) is an autosomal recessive neurometabolic disorder characterised by the accumulation of toxic metabolites due to Glutaryl-CoA Dehydrogenase (GCDH) deficiency, leading to striatal damage and neurodegeneration.
Parth Nikhil Doshi +3 more
doaj +1 more source
Explainable Machine Learning‐Based Prediction Model for Diabetic Nephropathy
The aim of this study is to analyze the effect of serum metabolites on diabetic nephropathy (DN) and predict the prevalence of DN through a machine learning approach. The dataset consists of 548 patients from April 2018 to April 2019 in the Second Affiliated Hospital of Dalian Medical University (SAHDMU).
Jing-Mei Yin +6 more
wiley +1 more source
ObjectiveThe co-occurrence of kidney disease in patients with type 2 diabetes (T2D) is a major public health challenge. Although early detection and intervention can prevent or slow down the progression, the commonly used estimated glomerular filtration ...
Tian-Feng An +7 more
doaj +1 more source
Inflammation and the immune system are intricately linked, with the immune system serving as a vital defense mechanism in the human body. Consequently, there is great emphasis placed on the regulation of both the body’s inflammatory response and the immune system.
Kyunghwa Lee +5 more
wiley +1 more source
Metabolic Pathway Signatures Associated with Urinary Metabolite Biomarkers Differentiate Bladder Cancer Patients from Healthy Controls. [PDF]
PURPOSE: Our previous high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry study identified bladder cancer (BCA)-specific urine metabolites, including carnitine, acylcarnitines, and melatonin.
최영득
core +1 more source

