Evidence map›Paper›PMID 40678796›Full record

ArticleClinical kidney journal2025

Predictive value of Gd-IgA1, poly-IgA in the treatment of IgA nephropathy with targeted-release formulation budesonide.

Qinlan Chen, Pei Chen, Rong He, Jincan Zan, Xue Shen, Jicheng Lv, Hong Zhang

Abstract read
In one paragraph

Article in Clinical kidney journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. TESTING for the Best Biomarker in IgA Nephropathy.Clinical journal of the American Society of Nephrology : CJASN · 2025
    Article
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

7 authors.

Qinlan ChenRenal Division, Department of Medicine, Peking University First Hospital, Beijing China; Institute of Nephrology, Peking University, Beiling, China; Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing 100034, China.ORCID https://orcid.org/0000-0003-1047-1589
Pei ChenRenal Division, Department of Medicine, Peking University First Hospital, Beijing China; Institute of Nephrology, Peking University, Beiling, China; Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing 100034, China.
Rong HeRenal Division, Department of Medicine, Peking University First Hospital, Beijing China; Institute of Nephrology, Peking University, Beiling, China; Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing 100034, China.
Jincan ZanRenal Division, Department of Medicine, Peking University First Hospital, Beijing China; Institute of Nephrology, Peking University, Beiling, China; Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing 100034, China.ORCID https://orcid.org/0000-0002-2912-1290
Xue ShenRenal Division, Department of Medicine, Peking University First Hospital, Beijing China; Institute of Nephrology, Peking University, Beiling, China; Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing 100034, China.ORCID https://orcid.org/0009-0007-5810-3896
Jicheng LvRenal Division, Department of Medicine, Peking University First Hospital, Beijing China; Institute of Nephrology, Peking University, Beiling, China; Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing 100034, China.
Hong ZhangRenal Division, Department of Medicine, Peking University First Hospital, Beijing China; Institute of Nephrology, Peking University, Beiling, China; Key Laboratory of Renal Disease, Ministry of Health of China, Beijing, China; Key Laboratory of Chronic Kidney Disease Prevention and Treatment (Peking University), Ministry of Education, Beijing 100034, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Targeted release formulation (TRF) budesonide (Nefecon), targeting galactose-deficient immunoglobulin A1 (Gd-IgA1) production and IgA immune complex formation, has been approved for IgA nephropathy (IgAN) treatment. In this study we explored whether early changes in these biomarkers can predict the clinical response to Nefecon therapy. Methods: Plasma samples from 27 IgAN patients treated with Nefecon and followed at least 6 months were collected during routine visits. We measured the levels of Gd-IgA1 and poly-IgA during the treatment, analysing the association between their baseline levels or changes and proteinuria reduction. Results: The mean proteinuria level was 1.3 ± 0.8 g/day and the estimated glomerular filtration rate was 47.1 ± 21.7 ml/min/1.73 m Conclusions: The early changes in Gd-IgA1 or poly-IgA, especially poly-IgA, were associated with future proteinuria reduction, supporting the potential of Gd-IgA1 and poly-IgA as biomarkers for predicting Nefecon response in IgAN.

Indexed as

Gd-IgA1IgA nephropathyNefeconpoly-IgAproteinuria

Identifiers

PMID40678796
PMCPMC12268327

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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.