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Record W4406891178 · doi:10.1016/j.cyto.2025.156866

Immune mechanisms in multiple sclerosis: CD3 levels on CD28+ CD4+ T cells link antibody responses to human herpesvirus 6

2025· article· en· W4406891178 on OpenAlexaff
Liang Cao, Chen Chen, Wenjun Pi, Yi Zhang, Sara Xue, V. Wee Yong, Mengzhou Xue

Bibliographic record

VenueCytokine · 2025
Typearticle
Languageen
FieldMedicine
TopicCytomegalovirus and herpesvirus research
Canadian institutionsHotchkiss Brain InstituteUniversity of Calgary
FundersNational Natural Science Foundation of China
KeywordsMultiple sclerosisImmune systemImmunologyAntibodyCD28CD3Human herpesvirus 6VirologyBiologyVirusT cellCD8HerpesviridaeViral disease

Abstract

fetched live from OpenAlex

Compelling evidence suggests a significant association between antibody-mediated immune responses and multiple sclerosis (MS). However, the exact causal relationships between these immune responses and MS remain unclear. In this study, we conducted a comprehensive examination of the link between antibody-mediated immune responses and MS via Mendelian randomization (MR) analysis to identify specific infectious pathogens potentially involved in the onset and progression of MS. We compared immune cell infiltration between MS patients and control subjects. Furthermore, single-cell sequencing was employed to conduct a comparative analysis of the marker genes associated with each cell subtype between individuals diagnosed with MS and the control cohort. We revealed connections between antibody-mediated immune responses and immune cells , as well as the associations between these immune cells and MS. We discovered that CD3 levels on CD28 + CD4 + T cells significantly influence MS progression by altering the ratio of human herpesvirus 6 (HHV-6). These findings provide novel insights into the biological mechanisms underlying HHV–6–mediated MS.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.076
GPT teacher head0.354
Teacher spread0.278 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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