Evidence map›Paper›PMID 40786481›Full record

ReviewJMA journal2025

Potential Biomarkers in Systemic Lupus Erythematosus.

Yujie Song, Michihito Kono

Abstract readReview
In one paragraph

Review in JMA journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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.

Yujie SongDepartment of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.
Michihito KonoDepartment of Rheumatology, Endocrinology and Nephrology, Faculty of Medicine and Graduate School of Medicine, Hokkaido University, Sapporo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Systemic lupus erythematosus (SLE) is a complex autoimmune disorder characterized by heterogeneous clinical manifestations and diverse autoantibody production. Despite advances in treatment, many patients experience disease flares throughout their lives, and current biomarkers like anti-double-stranded DNA antibodies and serum complement levels have limitations in accurately reflecting disease activity. This review examines emerging and established biomarkers for SLE diagnosis, disease activity monitoring, and treatment response prediction. We discuss immune cell subsets as potential biomarkers, focusing on plasmacytoid dendritic cells, T cell and B cell subsets, especially focused on T cell subsets. The review highlights how imbalances in these cellular populations correlate with disease activity and specific organ involvement. Furthermore, we discuss cytokines, chemokines, autoantibodies, and complement as biomarkers in SLE. The identification and validation of reliable biomarkers in SLE will ultimately improve clinical decision-making regarding treatment selection, glucocorticoid tapering, and prediction of disease remission, leading to more personalized and effective management strategies.

Indexed as

biomarkercytokineimmune cell subsetsystemic lupus erythematosus

Identifiers

PMID40786481
PMCPMC12328262

What Socratic holds

Textmetadata
LicenceCC BY
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.