Evidence map›Paper›PMID 41454181›Full record

ReviewCellular and molecular neurobiology2025

Neuroimmune Dysregulation and AI-Driven Therapeutic Strategies in Alzheimer's Disease.

Shampa Ghosh, Rakesh Bhaskar, Krishna Kumar Singh, Samarth Sharma, Bhuvaneshwar Yarlagadda, Jitendra Kumar Sinha, Sung Soo Han

Abstract readReview
In one paragraph

Review in Cellular and molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Shampa Ghosh *GloNeuro, Sector 107, Vishwakarma Road, Noida, 201301, Uttar Pradesh, India.ORCID https://orcid.org/0000-0002-3252-7216
Rakesh Bhaskar *School of Chemical Engineering, Yeungnam University, Gyeonsang, 38541, Republic of Korea.ORCID https://orcid.org/0000-0002-0181-6197
Krishna Kumar Singh *Symbiosis Centre for Information Technology, Symbiosis International (Deemed University, Rajiv Gandhi InfoTech Park, Hinjawadi, Pune, 411057, Maharashtra, India. krishnakumar@scit.edu.ORCID https://orcid.org/0000-0003-3849-5945
Samarth SharmaGL Bajaj Institute of Technology and Management, Greater, 201308, Noida, India.ORCID https://orcid.org/0000-0003-3176-4268
Bhuvaneshwar YarlagaddaGloNeuro, Sector 107, Vishwakarma Road, Noida, 201301, Uttar Pradesh, India.ORCID https://orcid.org/0009-0009-7818-0981
Jitendra Kumar SinhaGloNeuro, Sector 107, Vishwakarma Road, Noida, 201301, Uttar Pradesh, India. jksinha@gloneuro.org.ORCID https://orcid.org/0000-0002-7444-6932
Sung Soo HanSchool of Chemical Engineering, Yeungnam University, Gyeonsang, 38541, Republic of Korea.ORCID https://orcid.org/0000-0003-0773-2661

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroimmune interactions have arisen as central contributors to the pathogenesis and progression of Alzheimer’s disease. The exacerbation of neuronal dysfunction in Alzheimer’s disease is collectively contributed by dysregulation of astrocytic and microglial responses, invasion of peripheral immune cells, and chronic inflammation. A mechanistic understanding of molecular, cellular, and systems-level neuroimmune interactions in Alzheimer’s disease is enabling rational, testable therapeutic strategies. We have tried to extensively address the molecular regulation of glial activation, inflammasome signaling, and immune cell invasion in Alzheimer’s disease. This review highlights microglial metabolic reprogramming and lipid-metabolism dysregulation as major drivers of neuroinflammation. Existing and future therapeutic approaches to glial activation, immunometabolism, and inflammasome signaling are thoroughly reviewed, together with novel strategies involving stem cell-derived exosomes and peripheral immunity modulation. Artificial intelligence and machine learning technologies are the latest game-changing technologies in unraveling neuroimmune complexity, discovering biomarkers, simulating disease courses, and speeding up drug discovery. Integration of multi-omics information and AI-based predictive models is suggested as a critical strategy for the development of precision medicine strategies in neuroimmune therapeutics. Advancements in neuroimmune research, coupled with computational biology technological advancements, hold the promise to transform the therapeutic environment for Alzheimer’s disease. Multitargeted, integrated interventions and data-driven strategies are set to overcome current limitations and advance closer to effective, personalized therapies.

Indexed as

Alzheimer DiseaseArtificial IntelligenceNeuroimmunomodulationAnimalsHumansMicrogliaAlzheimer’s diseaseArtificial intelligenceAstrocytesBlood-brain barrier dysfunctionGlial-targeted therapeuticsImmunometabolismInflammasome signalingMicrogliaNeuroimmune interactionsPrecision medicine

Identifiers

PMID41454181
PMCPMC12816493

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.