Evidence map›Paper›PMID 41675841›Full record

ArticleAnnals of medicine and surgery (2012)2026

Targeting neuroinflammation to enhance recovery after brain injury.

Muhammad Khizar, Muhammad Zaib, Meerab Babar, Mahnoor Fatima

Abstract readLetter
In one paragraph

Article in Annals of medicine and surgery (2012), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Muhammad KhizarFaculty of Medicine, Georgian American University, Manifest Medical Research Co., Tbilisi, Georgia.ORCID https://orcid.org/0009-0005-5229-5052
Muhammad ZaibFaculty of Medicine, Georgian American University, Manifest Medical Research Co., Tbilisi, Georgia.ORCID https://orcid.org/0009-0008-7675-7161
Meerab BabarFaculty of Medicine, Rawalpindi Medical University, Rawalpindi, Pakistan.ORCID https://orcid.org/0009-0002-4741-7631
Mahnoor FatimaFaculty of Medicine, Shaheed Ziaur Rahman Medical College, Rajshahi Medical University, Bogura, Bangladesh.ORCID https://orcid.org/0009-0000-9243-7960

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Traumatic brain injury (TBI) continues to be a major global cause of morbidity and mortality, with neuroinflammation recognized as a central mechanism influencing both acute and long-term outcomes. Following the initial insult, activation of glial cells, cytokine release, and blood-brain barrier disruption drive a cascade of secondary injury. While these inflammatory processes contribute to debris clearance and neurorepair, excessive or prolonged activation leads to neuronal death and chronic neurodegeneration. Recent international research has focused on modulating these pathways to enhance recovery. In the United States and Germany, trials using stem cell derived exosomes and anti-cytokine biologics have shown neuroprotective potential. In China, novel compounds such as 3-monothiopomalidomide have demonstrated efficacy in reducing microglial activation and improving behavioral outcomes in experimental TBI. Integrating these pharmacological, cellular, and imaging innovations into clinical care could transform TBI management. This letter underscores the need for global collaboration, transparent data use, and biomarker-driven neuroinflammatory modulation to optimize adult brain injury recovery.

Indexed as

blood–brain barrier disruptioncytokine releaseglial cellsneurodegenerationneuroinflammationtraumatic brain injury (TBI)

Identifiers

PMID41675841
PMCPMC12889373

What Socratic holds

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LicenceCC BY
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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.