Autism

Artificial Intelligence-Driven Natural Product Drug Discovery: From Computational Genome Mining to Clinical Translation.

Natural products (NPs) have historically yielded numerous therapeutic agents, yet their integration into modern drug discovery has been constrained by chemical complexity, low abundance, laborious dereplication, and limited target annotation. Convergence of multi-omics technologies with high-resolution structural and biological data has created unprecedented opportunities for artificial intelligen...

Effect of genetic factors on [18F]FDG PET metabolic phenotypes in dementia with Lewy bodies.

BACKGROUND: Neuroimaging with [18F]FDG PET can support the diagnosis of Dementia with Lewy Bodies (DLB), but it remains unclear how genetic factors influence metabolic phenotypes. OBJECTIVES: To determine whether GBA1 and APOE ε4 status are associated with diverging [18F]FDG PET metabolic patterns in DLB. METHODS: We analyzed [18F]FDG PET scans from 43 patients with DLB stratified by GBA1 and APOE...

Deep learning reveals a neurocomputational mechanism predicting depression risk in adolescents.

Early detection and prevention of psychiatric disorders, particularly depression, remain as major global health challenges, yet reliable tools for ide...

Genome-Wide Association, Polygenic Risk Scores, and Machine Learning for Chronic Post-Surgical Pain Risk Stratification: A UK Biobank Study.

Chronic post-surgical pain is a prevalent and debilitating complication following surgery, representing a clinical challenge. Despite the established ...

Abnormal functional lateralization and cooperation in primary angle-closure glaucoma correlate with cell type-specific transcriptional signatures.

BACKGROUND: Primary angle-closure glaucoma (PACG) damages retinal ganglion cells (RGCs) and is associated with neurodegeneration. This study used rest...

Prediction of Clinically Meaningful Improvement After Internet-Delivered Cognitive Behavioral Therapy for Depression and Anxiety Disorders: Machine Learning-Based Predictive Model Development and Temporal Validation Study.

BACKGROUND: Up to 50% of patients treated with internet-delivered cognitive behavioral therapy (ICBT) for depression and anxiety disorders do not expe...

Autism in adolescence and adulthood.

Landmark descriptions of autism in the 1940s were based on clinical work with children. Research over the subsequent 80 years has largely focused on t...

Integrating landscape genomics and machine learning to analyze the genetic structure and specific molecular markers of Chinese dairy goats (Capra hircus).

BACKGROUND: During long-term artificial selection, China has developed indigenous dairy goat populations with breed-specific traits and environmental ...

From Environmental Lead Exposure to Colorectal Cancer: Integrated Transcriptomic and Genetic Analyses Identify HMOX1 as a Prioritized Candidate.

Colorectal cancer (CRC) is a leading cause of cancer mortality, and the mechanisms linking lead exposure to CRC remain unclear. In this study, we inte...

Identification of EIF4A1 as a candidate molecular indicator of autism spectrum disorder using integrative bioinformatic and biological methods.

Autism Spectrum Disorder (ASD) is a heterogeneous neurodevelopmental condition with complex genetic and molecular mechanism. Identifying reliable mole...

Population genomics reveals ginseng domestication and ginsenoside biosynthesis.

Ginseng (Panax ginseng), a valuable medicinal plant, is cultivated for the bioactive ginsenosides with cardiovascular protective effects that are abun...

Timely Surgical Approaches for Pediatric Epilepsy Resistant to Medication.

Meckel's Pediatric drug-resistant epilepsy (DRE) is a significant neurological disorder that develops when seizures persist despite treatment with two...

Developing an integrated algorithm to support autism diagnostic decisions: Model performance and statistical fairness.

BACKGROUND: Best practices in diagnosing autism spectrum disorder require an expert diagnostician to integrate multiple sources of information, includ...

Toward the prevention of clinically manifest Parkinson's disease.

Parkinson's disease (PD) is the fastest growing neurological disorder worldwide and is projected to affect unprecedented numbers of individuals by 205...

Phage as a prospective arsenal against superbugs.

The escalating crisis of antimicrobial resistance (AMR) necessitates the urgent development of alternatives to traditional antibiotics. Bacteriophage ...

SNP discovery and applications in plant genetics for sustainable food security: A review.

Single nucleotide polymorphisms represent the most abundant form of genetic variation in plant genomes and have become fundamental markers in modern p...

Prognostication in Autosomal Dominant Polycystic Kidney Disease: Current Tools, Clinical Gaps, and Future Directions.

Autosomal Dominant Polycystic Kidney Disease (ADPKD) is the most prevalent hereditary kidney disorder. While the disease is well-defined, its clinical...

Genome-wide analysis of subcortical aging identifies a spatially structured pattern of genetic associations.

Local brain age (LBA) is a spatially resolved biomarker of brain aging that captures regional deviations from chronological age, yet its genetic archi...

Can We Improve the Prediction of Early Onset Mania and Hypomania in the Community?

BACKGROUND: There is broad agreement that the onset of bipolar disorders (BD) can be predicted by using combined estimates of familial, genetic and cl...

Sales-Training-Inspired Optimization for Deep High-Order Principal Network in Autism Spectrum Disorder Classification.

Autism Spectrum Disorder (ASD) is a neurodevelopmental disorder characterized by social communication deficits and repetitive behaviours. Diagnosing A...