Evidence map›Paper›PMID 41872445›Full record

ArticleScientific reports2026

Protein microarray-based profiling of salivary IgA antibodies against human proteins in COVID-19 patients with depressive symptoms.

Yuichi Hikichi, Kohei Kunieda

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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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

2 citing papers in PubMed.

  1. Article
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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

2 authors.

Yuichi HikichiTuning Fork Bio, Inc, 1 Broadway, Cambridge, MA, 02142, USA. hikichiyu@tf-bio.com.
Kohei KuniedaMITSUI LINK-Lab, Tuning Fork Bio Japan, SHINKIBA 2, Room 409, 1-17-8 Shinkiba, Koto-ku, Tokyo, 136-0082, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand the pathophysiology and etiology of COVID-19 patients with depressive symptoms, we investigated the presence of autoantibodies associated with neurological sequelae using salivary IgA antibody profiling in COVID-19 patients with depressive symptoms. We used a human protein microarray system to comprehensively measure IgA antibodies against human proteins in the saliva of three groups of participants: those who developed moderate or severe depressive symptoms 2–14 months after SARS-CoV-2 infection (the ‘COVID-19 group’), those with no infection history who showed no depressive symptoms or only mild depressive symptoms (the ‘healthy control group’), and those with no infection history who were diagnosed with depression. As a result, 65 types of IgA antibodies recognizing human proteins were identified, all of which were present only in the COVID-19 group and not in the healthy control group. Several antigens recognized by these antibodies are associated with depressive symptoms. These findings suggest that distinctive salivary IgA antibody profiles may be associated with depressive symptoms following SARS-CoV-2 infection and could serve as candidate biomarkers for further investigation.

Indexed as

AutoantibodiesCOVID-19DepressionImmunoglobulin AImmunoglobulin A, SecretorySalivaAdultAgedBiomarkersFemaleHumansMaleMiddle AgedProtein Array AnalysisSARS-CoV-2AutoantibodiesBiomarkersImmunoglobulin AImmunoglobulin A, Secretory

Identifiers

PMID41872445
PMCPMC13153173

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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.