Evidence map›Paper›PMID 42079455›Full record

ArticleClinical kidney journal2026

Peripheral and renal interstitial T-cell profiles associated with treatment response in lupus nephritis: a retrospective cohort study.

Jingjing Wang, Yingxin Rong, Mengyue Zhu, Yuanmao Tu, Duqun Chen, Dandan Qiu, Feng Xu, Dandan Liang, Lin Chen, Haitao Zhang

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Article in Clinical kidney journal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited 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

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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

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

10 authors.

Jingjing WangNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.ORCID https://orcid.org/0009-0004-1497-3003
Yingxin RongNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Mengyue ZhuDepartment of Nephrology, Northern Jiangsu People's Hospital, Yangzhou, China.
Yuanmao TuNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Duqun ChenNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Dandan QiuNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Feng XuNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Dandan LiangNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.ORCID https://orcid.org/0009-0007-3066-7112
Lin ChenNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.
Haitao ZhangNational Clinical Research Center for Kidney Diseases, Jinling Hospital, Affiliated Hospital of Medical School, Nanjing University, Nanjing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lupus nephritis (LN) treatment response remains heterogeneous. We investigated associations between peripheral/renal T-cell profiles and treatment response, and explored renal T-cell infiltration as a mediator. Methods: This retrospective cohort study analyzed data from 424 LN patients. Peripheral CD4 Results: The study cohort consisted of 424 patients with biopsy-confirmed LN, predominantly female (84.67%), with a mean age of 30.37 ± 11.18 years. Responders, comprising 68.4% of the cohort, exhibited significantly higher peripheral CD4 Conclusion: Peripheral and renal interstitial T-cell profiles, particularly CD4/CD8 ratios, are significantly associated with treatment response in LN. Renal interstitial T-cells partially mediate the impact of peripheral immune status on clinical outcomes.

Indexed as

lupus nephritismediation analysisrenal interstitial infiltrationT-cell profilestreatment response

Identifiers

PMID42079455
PMCPMC13133625

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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.