Evidence mapPaperPMID 39901093Full record

ArticleMolecular medicine (Cambridge, Mass.)2025

Exploring proteomic immunoprofiles: common neurological and immunological pathways in multiple sclerosis and type 1 diabetes mellitus.

Fátima Cano-Cano, Almudena Lara-Barea, Álvaro Javier Cruz-Gómez, Francisco Martín-Loro, Laura Gómez-Jaramillo, María Carmen González-Montelongo, María Mar Roca-Rodríguez, Lucía Beltrán-Camacho, Lucía Forero, Javier J González-Rosa and 3 more

Abstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 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.

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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

13 authors.

Fátima Cano-CanoDiabetes Mellitus Laboratory, Institute of Research and Biomedical Innovation of Cadiz (INiBICA), Cádiz, Spain.
Almudena Lara-BareaDiabetes Mellitus Laboratory, Institute of Research and Biomedical Innovation of Cadiz (INiBICA), Cádiz, Spain.
Álvaro Javier Cruz-GómezPsychology Department, Institute of Research and Biomedical Innovation of Cadiz (INiBICA), University of Cadiz, Cádiz, Spain.
Francisco Martín-LoroDiabetes Mellitus Laboratory, Institute of Research and Biomedical Innovation of Cadiz (INiBICA), Cádiz, Spain.
Laura Gómez-JaramilloDiabetes Mellitus Laboratory, Institute of Research and Biomedical Innovation of Cadiz (INiBICA), Cádiz, Spain.
María Carmen González-MontelongoDiabetes Mellitus Laboratory, Institute of Research and Biomedical Innovation of Cadiz (INiBICA), Cádiz, Spain.
María Mar Roca-RodríguezDiabetes Mellitus Laboratory, Institute of Research and Biomedical Innovation of Cadiz (INiBICA), Cádiz, Spain.
Lucía Beltrán-CamachoBiomedicine, Biotechnology and Public Health Department, Science Faculty, Biomedical Research and Innovation Institute of Cadiz (INIBICA), Cádiz University, Cádiz, Spain.
Lucía ForeroNeurology Department, Spain. Institute of Research and Biomedical Innovation of Cadiz (INiBICA), Puerta del Mar University Hospital, Cádiz, Spain.
Javier J González-RosaPsychology Department, Institute of Research and Biomedical Innovation of Cadiz (INiBICA), University of Cadiz, Cádiz, Spain.
Mª Carmen Durán-RuizBiomedicine, Biotechnology and Public Health Department, Science Faculty, Biomedical Research and Innovation Institute of Cadiz (INIBICA), Cádiz University, Cádiz, Spain. maricarmen.duran@gm.uca.es.
Ana I Arroba *Diabetes Mellitus Laboratory, Institute of Research and Biomedical Innovation of Cadiz (INiBICA), Cádiz, Spain. anaarroba@gmail.com.
Manuel Aguilar-Diosdado *Diabetes Mellitus Laboratory, Institute of Research and Biomedical Innovation of Cadiz (INiBICA), Cádiz, Spain.

Funding

Agencia Estatal de Investigación PID2023-147093OB-I00Consejeria de Salud y Familias PI-0036-2020Instituto de Salud Carlos III PI22/01718
6 · The paper itself

Abstract

backgroundInterest in the study of type 1 diabetes mellitus (T1DM) and multiple sclerosis (MS) has increased because of their significant negative impact on the patient quality of life and the profound implications for the health care system. Although the clinical symptoms of T1DM differ from those of MS, such as pancreatic β-cell failure in T1DM and demyelination in the central nervous system (CNS) in MS, both pathologies are considered as autoimmune-related diseases with shared pathogenic pathways, which include autophagy, inflammation and degeneration, among others. Considering the challenges in obtaining pancreatic β-cells and CNS tissue from patients with T1DM and MS, respectively, it is fundamental to explore alternative methods for evaluating disease status. Proteomic analysis of peripheral blood mononuclear cells (PBMCs) is an ideal approach for identifying novel and potential biomarkers for both autoimmune diseases.

methodsWe conducted a proteomic analysis of PBMCs from patients with T1DM and relapsing remitting Multiple Sclerosis (herein forth MS) patients (n = 9 per condition), using a label-free quantitative proteomics approach. The patients were diagnosed following the American Diabetes Association (ADA) criteria for T1DM and McDonald criteria for MS respectively, and were aged over 18 years and more than 2 years from the onset respectively.

resultsA total of 2476 proteins were differentially expressed in PBMCs from patients with T1DM and MS patients compared with those form healthy controls (H). Predictive analysis highlighted 15 common proteins, up- or downregulated in PBMCs from patients with T1DM and MS patients vs. healthy controls, involved in the immune system activity (BTF3, TTR, CD59, CSTB), diseases of the neuronal system (TTR), signal transduction (STMN1, LAMTOR5), metabolism of nucleotides (RPS21), proteins (TTR, ENAM, CD59, RPS21, SRP9) and RNA (SRSF10, RPS21). In addition, this study revealed both shared and distinct molecular patterns between the two conditions.

conclusionsCompared with H, patients with T1DM and MS presented a specific expression pattern of common proteins has been identified. This pattern underscores the shared mechanisms involved in their immune responses and neurological complications, alongside dysregulation of the autophagy pathway. Notably, CSTB has emerged as a differential biomarker, distinguishing between these two autoimmune diseases.

Indexed as

Diabetes Mellitus, Type 1Multiple SclerosisProteomeProteomicsAdultBiomarkersFemaleHumansLeukocytes, MononuclearMaleMiddle AgedYoung AdultBiomarkersProteome

Identifiers

PMID39901093
PMCPMC11789306

What Socratic holds

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Registered trials

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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.