mosGraphFlow: a novel integrative graph AI model mining disease targets from multi-omic data DOI Creative Commons
Heming Zhang,

Dekang Cao,

Tianma Xu

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 6, 2024

Abstract Multi-omic data can better characterize complex cellular signaling pathways from multiple views compared to individual omic data. However, integrative multi-omic analysis rank key disease biomarkers and infer core remains an open problem. In this study, our novel contributions are that we developed a graph AI model, mosGraphFlow , for analyzing graphs (mosGraphs), 2) analyzed mosGraph datasets of AD, 3) identified, visualized evaluated set AD associated network. The comparison results show the proposed model not only achieves best classification accuracy but also identifies important interactions. Moreover, sources highlighted at specific levels facilitate understanding pathogenesis AD. be applied expanded other studies using Model code is accessible via GitHub: https://github.com/FuhaiLiAiLab/mosGraphFlow

Language: Английский

Shattering the Amyloid Illusion: The Microbial Enigma of Alzheimer’s Disease Pathogenesis—From Gut Microbiota and Viruses to Brain Biofilms DOI Creative Commons
Anna Onisiforou, Eleftheria G. Charalambous, Panos Zanos

et al.

Microorganisms, Journal Year: 2025, Volume and Issue: 13(1), P. 90 - 90

Published: Jan. 5, 2025

For decades, Alzheimer's Disease (AD) research has focused on the amyloid cascade hypothesis, which identifies amyloid-beta (Aβ) as primary driver of disease. However, consistent failure Aβ-targeted therapies to demonstrate efficacy, coupled with significant safety concerns, underscores need rethink our approach AD treatment. Emerging evidence points microbial infections environmental factors in pathoetiology. Although a definitive causal link remains unestablished, collective is compelling. This review explores unconventional perspectives and emerging paradigms regarding involvement pathogenesis, emphasizing gut-brain axis, brain biofilms, oral microbiome, viral infections. Transgenic mouse models show that gut microbiota dysregulation precedes Aβ accumulation, signaling pathways. Viral like Herpes Simplex Virus Type 1 (HSV-1) Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) may lead by modulating host processes immune system. peptide's antimicrobial function response infection might inadvertently promote AD. We discuss potential microbiome-based promising strategies for managing potentially preventing progression. Fecal transplantation (FMT) restores balance, reduces improves cognition preclinical models. Probiotics prebiotics reduce neuroinflammation plaques, while antiviral targeting HSV-1 vaccines shingles vaccine mitigate pathology. Developing effective treatments requires standardized methods identify measure patients, enabling personalized address individual contributions pathogenesis. Further needed clarify interactions between microbes Aβ, explore bacterial interplay, understand their broader effects translate these insights into clinical interventions.

Language: Английский

Citations

4

Identification of novel biomarkers associated with immune infiltration in major depression disorder and atopic dermatitis DOI
Han Jiang,

Bizhen Gong,

Z.-Q. Yan

et al.

Archives of Dermatological Research, Journal Year: 2025, Volume and Issue: 317(1)

Published: Feb. 15, 2025

Language: Английский

Citations

0

Bibliometric and Visual Analysis of Alzheimer’s Disease and Herpes Simplex Virus Type 1 Infection Between 1990 and 2024 DOI Creative Commons

Hongling Ren,

Ruiyao Song,

Hairong Wang

et al.

Journal of Multidisciplinary Healthcare, Journal Year: 2025, Volume and Issue: Volume 18, P. 2097 - 2109

Published: April 1, 2025

Recently, some studies suggested that Herpes simplex virus type 1 (HSV-1) infection is an important environmental factor for Alzheimer's disease(AD). The literature on research about HSV-1 and AD emerging. This study used the bibliometric method to investigate relationship between AD. We searched Web of Science Core Collection relevant from 1990 2024. Bibliometric visualization analyses were performed using VOSviewer CiteSpace. From 2024, number publications showed increasing trend. United States made largest contributions in productivity. University Manchester was most productive organization. Professor Ruth F. Itzhaki influential researcher. Journal Disease had published articles. Research mechanisms by which HSV contributes remains a hotspot field, future may further focus antiviral therapeutic strategies targeting infection. Our analysis provides basic information HSV-1. current hotspots this field mainly include mechanism caused HSV-1, drugs treat or prevent

Language: Английский

Citations

0

The many connections of UFMylation with Alzheimer’s disease: a comprehensive review DOI Creative Commons
Tingxiang Yan, Benjamin D. Clarkson, Zhenkun Lou

et al.

Molecular Neurodegeneration, Journal Year: 2025, Volume and Issue: 20(1)

Published: June 4, 2025

Abstract Alzheimer’s disease (AD) is a complex neurodegenerative disorder that characterized by the accumulation of pathologic tau and beta-amyloid proteins. UFMylation an emerging ubiquitin-like post-translational modification crucial for healthy brain development. The UFM1 cascade was recently identified as major modifier aggregation in vitro vivo . Moreover, post-mortem AD shows pronounced alterations are significantly associated with pathological tau, suggesting might indeed be human disease. However, link between yet to fully explored. Interestingly, known play important roles several pathways altered AD, such DNA damage response, ER homeostasis, autophagy immune response. This review discusses many connections pathogenesis, emphasizing role these their abnormalities AD. Understanding elucidate molecular mechanisms how may impact uncover novel therapeutic strategies targeting modification.

Language: Английский

Citations

0

One Path, Two Solutions: Network-Based Analysis Identifies Targetable Pathways for the Treatment of Comorbid Type II Diabetes and Neuropsychiatric Disorders DOI Creative Commons
Anna Onisiforou, Panos Zanos

Computational and Structural Biotechnology Journal, Journal Year: 2024, Volume and Issue: 23, P. 3610 - 3624

Published: Oct. 10, 2024

Language: Английский

Citations

2

mosGraphFlow: a novel integrative graph AI model mining disease targets from multi-omic data DOI Creative Commons
Heming Zhang,

Dekang Cao,

Tianma Xu

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 6, 2024

Abstract Multi-omic data can better characterize complex cellular signaling pathways from multiple views compared to individual omic data. However, integrative multi-omic analysis rank key disease biomarkers and infer core remains an open problem. In this study, our novel contributions are that we developed a graph AI model, mosGraphFlow , for analyzing graphs (mosGraphs), 2) analyzed mosGraph datasets of AD, 3) identified, visualized evaluated set AD associated network. The comparison results show the proposed model not only achieves best classification accuracy but also identifies important interactions. Moreover, sources highlighted at specific levels facilitate understanding pathogenesis AD. be applied expanded other studies using Model code is accessible via GitHub: https://github.com/FuhaiLiAiLab/mosGraphFlow

Language: Английский

Citations

0