AIMC Topic: Biomarkers

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Transcriptomic bioinformatics analysis proposes a novel BCL2-MAPK14-TXN oxidative stress diagnostic model of sepsis and identifies TXN as an oxidative stress-related signature gene in sepsis.

International immunopharmacology
BACKGROUND: Oxidative stress was one of key factors driving the septic development by the uncontrolled accumulation of free radicals, thus oxidative stress-related biomarkers provide a novel diagnostic option. This study focused on screening oxidativ...

WISP2/CCN5 revealed as a potential diagnostic biomarker for endometriosis based on machine learning and single-cell transcriptomic analysis.

Functional & integrative genomics
OBJECTIVE: Endometriosis is a prevalent gynecological disease characterized by the ectopic growth of functional endometrial tissue outside the uterine cavity, affecting millions of women worldwide. Currently, the definitive diagnosis relies on invasi...

CD63 as a critical biomarker associated with immune infiltration in depression through bioinformatics analysis and experimental validation.

Journal of affective disorders
BACKGROUND: Major depressive disorder (MDD) exhibits a multifactorial etiopathogenesis, yet current diagnosis still relies on clinician-rated symptom scales and phenomenological interviews, lacking validated biomarkers.

Deep Learning for Cardiac Overload Estimation - Predicting B-Type Natriuretic Peptide (BNP) Levels From Heart Sounds and Electrocardiogram.

Circulation journal : official journal of the Japanese Circulation Society
BACKGROUND: B-type natriuretic peptide (BNP) and N-terminal pro-BNP (NT-pro-BNP) are key biomarkers used for heart failure (HF) management. Although traditional auscultation lacks objective evaluation, the SSS01-series phonocardiogram enables rapid r...

Metabolomic profiling of plasma reveals differential disease severity markers in avian influenza A(H7N9) infection patients.

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases
OBJECTIVES: Avian influenza such as H7N9 is currently a major global public health risk, and at present, there is a lack of relevant diagnostic and treatment markers.

High-Sensitivity Detection of C-Peptide Biomarker for Diabetes by Solid-State Nanopore Using Machine Learning Identification.

The journal of physical chemistry letters
Accurate and early detection of C-peptide, a stable biomarker indicative of diabetes, is crucial for disease diagnosis, treatment, and prevention. This study explores a novel detection methodology using solid-state nanopore technology coupled with ma...

Moving beyond the syndrome: how can acute kidney injury phenotypes help?

Current opinion in nephrology and hypertension
PURPOSE OF REVIEW: The purpose of this review is to describe recent and important updates in acute kidney injury (AKI) phenotyping that help us to move beyond the clinical syndrome of AKI.

On Selecting Robust Approaches for Learning Predictive Biomarkers in Metabolomics Data Sets.

Analytical chemistry
Metabolomics, the study of small molecules within biological systems, offers insights into metabolic processes and, consequently, holds great promise for advancing health outcomes. Biomarker discovery in metabolomics represents a significant challeng...

A multimodal dataset for coronary microvascular disease biomarker discovery.

Scientific data
Coronary microvascular disease (CMD), particularly prevalent among women, is associated with increased morbidity and mortality, making clinical screening vital for effective management. However, limited publicly available screening-level data hinders...

Machine learning driven biomarker selection for medical diagnosis.

PloS one
Recent advances in experimental methods have enabled researchers to collect data on thousands of analytes simultaneously. This has led to correlational studies that associated molecular measurements with diseases such as Alzheimer's, Liver, and Gastr...