AIMC Topic: Biomarkers

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Machine learning-based identification of a transcriptomic blood signature discriminating between systemic autoimmunity and infection.

Med (New York, N.Y.)
BACKGROUND: Pathogenic responses against self and foreign antigens in systemic autoimmunity and infection, respectively, engage similar immunologic components, thus lacking distinguishing diagnostic biomarkers. Herein, we tested whether whole-blood t...

Syllable-based speech characteristics as potential biomarker for differential diagnosis of Parkinson's disease, multiple system atrophy, and cerebellar ataxia.

Journal of neurology
Speech disorders differ between Parkinson's disease (PD) and multiple system atrophy (MSA), but studies focusing on group differences based on syllables or including cerebellar ataxia (CA) are lacking until now. This cross-sectional study aimed to an...

Progesterone for Traumatic Brain Injury, Experimental Clinical Treatment III Trial Revisited: Objective Classification of Traumatic Brain Injury With Brain Imaging Segmentation and Biomarker Levels.

Critical care explorations
OBJECTIVE: This post hoc study of the Progesterone for Traumatic Brain Injury, Experimental Clinical Treatment (ProTECT) III trial investigates whether improving traumatic brain injury (TBI) classification, using serum biomarkers (glial fibrillary ac...

Cognitive prediction using regional connectivities and network biomarkers in Alzheimer's disease.

Neuroscience
Achieving a deep understanding of brain mechanisms requires multi-scale perspectives to capture the architecture of complex networks. In this study, we focused on patients with cognitive impairment and constructed individual brain networks from neuro...

Potential of Proteomics in Forensic Phenotyping: A Focus on Biological Sex Estimation.

Journal of proteome research
Forensic DNA analysis is well established for phenotyping, providing valuable investigative leads. Proteomics, the large-scale study of proteins, is emerging as a complementary tool to DNA analysis, particularly for enhancing the evidential value of ...

Nonmagnetic Biomarker Detection by Nanocatalytic-Amplified Quantum Spin Relaxometry.

ACS nano
Nitrogen-vacancy (NV) centers in diamond demonstrate advantages in biosensing due to their exceptional photostability and long spin coherence time. However, clinical applications of NV centers are significantly limited because their spin states lack ...

Uncovering key biomarkers, potential therapeutic targets and development of deep learning model in heart failure.

PloS one
Heart failure (HF) represents a significant public health concern, characterized by elevated rates of mortality and morbidity. Recent advancements in gene sequencing technologies have led to the identification of numerous genes associated with heart ...

Explainable Deep Learning Framework for SERS Bioquantification.

ACS sensors
Surface-enhanced Raman spectroscopy (SERS) is rapidly gaining attention as a fast and inexpensive method of biomarker quantification, which can be combined with deep learning to elucidate complex biomarker-disease relationships. Current standard prac...

Single-cell sequencing analysis and multiple machine learning methods identified immune-associated SERPINB1 and CPEB4 as novel biomarkers for COVID-19-induced ARDS.

Die Naturwissenschaften
Acute respiratory distress syndrome (ARDS) is a life-threatening complication of COVID-19, often resulting in respiratory failure and high mortality. Identifying effective molecular biomarkers is crucial for understanding its pathogenesis and improvi...

ACO1 OGDH axis drives mitochondrial immune crosstalk in preeclampsia through systems biology enabling dual target therapy.

Scientific reports
Preeclampsia (PE), a devastating pregnancy complication affecting 5% of gravidas worldwide, exhibits poorly characterized connections between mitochondrial dysfunction and immune dysregulation. This study aims to identify integrated mitochondrial-imm...