Evidence map›Paper›PMID 40313935›Full record

ArticleFrontiers in immunology2025

Delineating circulating lymphocyte subsets in the transition from gout remission to recurrence.

Hanjie Yu, Ling Wang, Ling Qin, Hanqing Yu, Ran Hu, Zhenghu Jia, Hui Bao, Haichao Wang, Wen Xue, Yaxiang Song and 2 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 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

12 authors.

Hanjie Yu *Center for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Ling Wang *Center for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Ling Qin *Center for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Hanqing YuCenter for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Ran HuClinical Medicine Scientific and Technical Innovation Center, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Zhenghu JiaGuangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Jinan University, Zhuhai, China.
Hui BaoCenter for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Haichao WangCenter for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Wen XueCenter for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Yaxiang SongCenter for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.
Zhinan YinGuangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Jinan University, Zhuhai, China.
Ai PengCenter for Nephrology and Clinical Metabolomics and Division of Nephrology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Lymphocytes and their subsets are implicated in both the onset and remission of gout. However, the specific roles in gout recurrence and complete remission remain unclear. This study aimed to characterize lymphocyte immunophenotypes across different stages of gout and developed a predictive model for remission and recurrence of gout. Methods: Plasma levels of 75 lymphocyte immunophenotypes were determined using multiplex flow cytometry in patients with acute gout flare (AG, n=78), gout remission (RG, n=63), and healthy controls (NC, n=66). Lymphocyte immunophenotyping candidates and significant clinical parameters were subjected to LASSO regression for conducting a predictive model. Results: Significant variations in lymphocyte profiles were identified among the groups. A combination of T peripheral helper cells, virus-specific cytotoxic natural killer (NK) cells, inhibition of Vδ1 and Vδ2 cells, along with BMI, eGFR, hemoglobin, uric acid, distinguished RG from NC (AUC=0.934). Similarly, inhibition of Vδ2 cells, virus-specific cytotoxic NK cells, inactive and terminally differentiated virus-specific CD8 Conclusion: Significant alterations in lymphocyte immunophenotypes, notably the inhibition of Vδ2 cells and virus-infected specific cytotoxic NK cells during the transition from gout recurrence to complete remission, provide compelling evidence to enhance the clinical delineation of gout stages and propel mechanistic investigations into the progression of gout.

Indexed as

GoutLymphocyte SubsetsAdultAgedFemaleHumansImmunophenotypingKiller Cells, NaturalMaleMiddle AgedRecurrenceRemission Inductionconversion patterngout recurrencegout remissionlymphocyte immunophenotypepredictive model

Identifiers

PMID40313935
PMCPMC12043595

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