Evidence map›Paper›PMID 42147996›Full record

ArticleBalkan journal of medical genetics : BJMG2025

Identification of Serum Proteome in Children with Autism Spectrum Disorder.

T N Popov, S D Minchev, I T Vachev

Abstract read
In one paragraph

Article in Balkan journal of medical genetics : BJMG, 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
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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

3 authors.

T N PopovMedical center Spectar - Plovdiv; 107 Macedonia Street; Plovdiv, Bulgaria.
S D MinchevDepartment of Human Anatomy and Physiology; University of Plovdiv "Paisii Hilendarski", 24 Tzar Asen Street; Plovdiv, Bulgaria.
I T VachevDepartment of Molecular Biology; University of Plovdiv "Paisii Hilendarski", 24 Tzar Asen St.; Plovdiv, Bulgaria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition characterized by impaired social interaction, communication deficits, and restricted, repetitive behaviors. Early and accurate diagnosis is essential for timely intervention and improved outcomes. While numerous efforts have been made to identify reliable biomarkers, no clinically validated protein biomarkers for ASD are currently available. The identification of such biomarkers could aid in diagnosis, subtyping, treatment monitoring, and the discovery of novel therapeutic targets. In this study, we analyzed the serum proteome profiles of children with ASD compared to typically developing children (TDC) using an iTRAQ-based quantitative proteomic approach. Pooled serum samples were assessed to identify potential ASD-associated protein biomarkers. A total of 59 differentially expressed proteins were identified between the ASD and TDC groups. These proteins are implicated in several biological pathways, including cholesterol metabolism, complement and coagulation cascades, tight junctions, regulation of the actin cytoskeleton, and extracellular matrix (ECM)-receptor interactions. Notably, levels of complement C4A, APOC2, and PFN1 were significantly elevated in the ASD group, while proteins involved in ECM-cell interactions - HSPG2, HPSE, and NID1 - were markedly decreased. These findings highlight a distinct proteomic signature in ASD and suggest that the identified proteins may serve as promising candidates for molecular biomarkers. Further validation in larger, independent cohorts is warranted to establish their diagnostic and clinical utility.

Indexed as

Autism Spectrum Disorder (ASD)bio-marker discoverydifferential protein expressioniTRAQproteomicsserum

Identifiers

PMID42147996
PMCPMC13175642

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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 OpenQuestion graph.