Recent progress in biomarkers for neurodegenerative disorders DOI

Karishma Vivek Kathpalia,

Margaret Gyaawah Duodu, Ritu Raj

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 423 - 436

Published: Nov. 29, 2024

Unraveling the Complexity of Human Brain: Structure, Function in Healthy and Disease States DOI
Omme Fatema Sultana,

Madhuri Bandaru,

Md. Ariful Islam

et al.

Ageing Research Reviews, Journal Year: 2024, Volume and Issue: 100, P. 102414 - 102414

Published: July 14, 2024

Language: Английский

Citations

14
From Serendipity to Precision: Integrating AI, Multi-Omics, and Human-Specific Models for Personalized Neuropsychiatric Care DOI Creative Commons
Masaru Tanaka

Biomedicines, Journal Year: 2025, Volume and Issue: 13(1), P. 167 - 167

Published: Jan. 12, 2025

Background/Objectives: The dual forces of structured inquiry and serendipitous discovery have long shaped neuropsychiatric research, with groundbreaking treatments such as lithium ketamine resulting from unexpected discoveries. However, relying on chance is becoming increasingly insufficient to address the rising prevalence mental health disorders like depression schizophrenia, which necessitate precise, innovative approaches. Emerging technologies artificial intelligence, induced pluripotent stem cells, multi-omics potential transform this field by allowing for predictive, patient-specific interventions. Despite these advancements, traditional methodologies animal models single-variable analyses continue be used, frequently failing capture complexities human conditions. Summary: This review critically evaluates transition serendipity precision-based in research. It focuses key innovations dynamic systems modeling network-based approaches that use genetic, molecular, environmental data identify new therapeutic targets. Furthermore, it emphasizes importance interdisciplinary collaboration human-specific overcoming limitations Conclusions: We highlight precision psychiatry’s transformative revolutionizing care. paradigm shift, combines cutting-edge systematic frameworks, promises increased diagnostic accuracy, reproducibility, efficiency, paving way tailored better patient outcomes

Language: Английский

Citations

1
Examining Transcriptomic Alterations in Rat Models of Intracerebral Hemorrhage and Severe Intracerebral Hemorrhage DOI Creative Commons

Shaik Ismail Mohammed Thangameeran,

Sheng‐Tzung Tsai, Hock‐Kean Liew

et al.

Biomolecules, Journal Year: 2024, Volume and Issue: 14(6), P. 678 - 678

Published: June 11, 2024

Intracerebral hemorrhage (ICH) is a life-threatening condition associated with significant morbidity and mortality. This study investigates transcriptomic alterations in rodent models of ICH severe to shed light on the genetic pathways involved hemorrhagic brain injury. We performed principal component analysis, revealing distinct segments normal rats compared rats. employed heatmaps volcano plots identify differentially expressed genes utilized bar KEGG pathway analysis elucidate molecular involved. identified multitude both models. Our results revealed 5679 common among normal, ICH, groups upregulated group, 1196 downregulated genes, respectively. A plot comparing these further highlighted including PDPN, TIMP1, SERPINE1, TUBB6, CD44. These findings underscore complex interplay inflammation, oxidative stress, neuronal damage. Furthermore, enrichment uncovered key signaling pathways, TNF pathway, protein processing endoplasmic reticulum, MAPK Fc gamma R-mediated phagocytosis, implicated pathogenesis ICH.

Language: Английский

Citations

4
Cutting-Edge Technologies Illuminate the Neural Landscape of Cancer: Insights into Tumor Development DOI
Yajing Wang, Zhao‐Jun Wang,

Xinyuan Mao

et al.

Cancer Letters, Journal Year: 2025, Volume and Issue: unknown, P. 217667 - 217667

Published: March 1, 2025

Language: Английский

Citations

0
Advances in spectroscopic detection of traumatic brain injury biomarkers: Potential for diagnostic applications DOI
Yowhan Son,

Moon‐Young Jeong,

Jong Min Lim

et al.

Applied Spectroscopy Reviews, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 30

Published: April 4, 2025

Language: Английский

Citations

0
Convolutional Neural Networks for the segmentation of hippocampal structures in postmortem MRI scans DOI

A. N.,

Karl Li,

Nicolas Honnorat

et al.

Journal of Neuroscience Methods, Journal Year: 2025, Volume and Issue: 415, P. 110359 - 110359

Published: Jan. 5, 2025

Language: Английский

Citations

0
Recent progress in biomarkers for neurodegenerative disorders DOI

Karishma Vivek Kathpalia,

Margaret Gyaawah Duodu, Ritu Raj

et al.

Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 423 - 436

Published: Nov. 29, 2024

Citations

0