Evidence map›Paper›PMID 41487889›Full record

ReviewCureus2025

Cerebrospinal Fluid Autoantibody Profiles in Rheumatologic Disorders Affecting the Central Nervous System: A Systematic Review.

Taher Mohammed, Sharmila Venkatachalapathi, Kiranjot Kaur, Mashal Mumtaz, Sabahat Iftikhar, Mahvish Nishat, Nada Rashid, Ensaf Ibrahim Hassan Ibrahim, Abdullah Khan

Abstract readReview
In one paragraph

Review in Cureus, 2025. 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

9 authors.

Taher MohammedMedical Education, StepExcel Boards Academy, Skokie, USA.
Sharmila VenkatachalapathiInternal Medicine, Government Periyar Hospital, Mayiladuthurai, IND.
Kiranjot KaurMedicine, US Navy, United States Military, Great Lakes, USA.
Mashal MumtazInternal Medicine, University College of Medicine and Dentistry, University of Lahore (UoL), Lahore, PAK.
Sabahat IftikharMedicine, StepExcel Boards Academy, Skokie, USA.
Mahvish NishatGeneral Physician, Shadan Institute of Medical Science, London, GBR.
Nada RashidInternal Medicine, National Health Service (NHS), Wakefield, GBR.
Ensaf Ibrahim Hassan IbrahimRheumatology, Royal Derby Hospital, Derby, GBR.
Abdullah KhanInternal Medicine, Sheikh Zayed Hospital, Rahim Yar Khan, PAK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rheumatologic disorders affecting the central nervous system (CNS) can cause significant neurological and psychiatric morbidity. Early detection of CNS involvement is essential to prevent irreversible damage. This study aims to systematically review cerebrospinal fluid (CSF) autoantibody profiles in rheumatologic disorders and evaluate their diagnostic, prognostic, and clinical relevance. A systematic review of PubMed, Embase, Scopus, and Cochrane Library was conducted up to October 2025. Studies reporting CSF autoantibodies in systemic lupus erythematosus (SLE), primary Sjögren's syndrome (pSS), neuromyelitis optica spectrum disorder (NMOSD), and rheumatoid arthritis (RA) with CNS involvement were included. Data on antibody type, clinical correlations, and prognostic significance were extracted and synthesized. Ten studies met the inclusion criteria. Anti-NR2 and anti-ribosomal P antibodies were associated with neuropsychiatric manifestations in SLE. Anti-SSA (Ro) indicated CNS involvement in pSS. CSF aquaporin-4 IgG correlated with active disease in NMOSD, while anti-cyclic citrullinated peptide antibodies were detected in RA-related meningitis. CSF autoantibodies reflected intrathecal immune activity and offered higher diagnostic specificity than serum measurements. CSF autoantibody profiling provides clinically relevant biomarkers for CNS involvement in rheumatologic disorders. Standardized, longitudinal studies are needed to develop predictive panels and guide personalized immunotherapy.

Indexed as

autoantibodiesbiomarkerscnscsfnmosdnpslerheumatologic disorderssle

Identifiers

PMID41487889
PMCPMC12757019

What Socratic holds

Textmetadata
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.