Evidence map›Paper›PMID 39287744›Full record

ReviewMolecular neurobiology2025

From Multiple Sclerosis to Organ-Specific Autoimmune Disorders: Insights into the Molecular and Clinical Implications of Comorbidity.

Mohammad Reza Zabihi, Alireza Zangooie, Mobin Piroozkhah, Mohammad Hossein Harirchian, Zahra Salehi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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

5 authors.

Mohammad Reza Zabihi *Department of Immunology, School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Alireza Zangooie *Cellular and Molecular Research Center, Birjand University of Medical Sciences, Birjand, Iran.
Mobin PiroozkhahSchool of Medicine, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Hossein HarirchianIranian Center of Neurological Research, Neuroscience Institute, Imam Khomeini Hospital Complex, Tehran University of Medical Sciences, Tehran, Iran.
Zahra SalehiHematology, Oncology and Stem Cell Transplantation Research Center, Research Institute for Oncology, Hematology and Cell Therapy, Tehran University of Medical Sciences, Tehran, Iran. zahra.salehi6463@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple sclerosis (MS) is a complex autoimmune disorder that affects the central nervous system. Although the pathological mechanisms of MS have been extensively studied, its association with other autoimmune diseases, known as comorbidities, remains unclear. In this comprehensive review article, we aim to clarify the cellular and molecular relationship between MS and the incidence of organ-specific autoimmune comorbidities by summarizing former studies. We will explore the commonalities and possible differences between the immune response mechanisms in MS and other autoimmune diseases and provide an overview of the current understanding of the pathophysiological processes involved in the co-occurrence of MS and other organ-specific autoimmune comorbidities. Through this review, we aim to contribute to the development of effective therapeutic strategies that can improve the quality of life of MS patients with comorbidities.

Indexed as

Autoimmune DiseasesMultiple SclerosisOrgan SpecificityAnimalsComorbidityHumansAutoimmune diseasesCellular mechanismsComorbiditiesHuman disease networkImmunologyMolecular mechanismsMultiple sclerosis

Identifiers

What Socratic holds

Textmetadata
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.