Evidence map›Paper›PMID 42305531›Full record

ArticleFrontiers in immunology2026

Case Report: Anti-glomerular basement membrane disease during pregnancy with favorable renal outcome, sequential biopsies, and dual anti-α1/α3(IV) and anti-LM521 antibodies.

Jing Zhuang, Siwen Gu, Yue Qu, Changrong Zhang, Huang Kuang, Zhao Cui, Xuefei Tian, Hong Jiang

Abstract readCase Reports
In one paragraph

Article in Frontiers in immunology, 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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0citing papers 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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Jing ZhuangDivision of Nephrology, Department of Internal Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Siwen GuDivision of Nephrology, Department of Internal Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Yue QuDivision of Nephrology, Department of Internal Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Changrong ZhangDivision of Nephrology, Department of Internal Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.
Huang KuangRenal Division, Peking University First Hospital, Beijing, China.
Zhao CuiRenal Division, Peking University First Hospital, Beijing, China.
Xuefei TianSection of Nephrology, Department of Internal Medicine, Yale University School of Medicine, New Haven, CT, United States.
Hong JiangDivision of Nephrology, Department of Internal Medicine, People's Hospital of Xinjiang Uygur Autonomous Region, Urumqi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Anti-glomerular basement membrane (anti-GBM) disease during pregnancy is rare and often life-threatening. We report a G4P1 woman who developed atypical anti-GBM disease at 13 weeks of gestation. Serial kidney biopsies demonstrated a reduction in active necrotizing lesions from 64.3% to 30.8% following early intensive immunosuppression and pregnancy termination. Western blot identified circulating autoantibodies against type IV collagen α1/α3 chains and laminin-521 (LM-521)-a novel finding in anti-GBM disease during pregnancy. Multidisciplinary management, including plasma exchange, high-dose methylprednisolone, hemodialysis, pregnancy termination, and obinutuzumab for serologic recurrence, enabled discontinuation of dialysis and partial renal recovery with stable kidney function. This case provides histological evidence, through sequential kidney biopsies, that early intensive immunotherapy combined with pregnancy termination can halt active necrotizing lesions and facilitate tissue repair. It also examines the potential association between specific autoantibody subtypes (anti-α1/α3 chains and LM521) and disease phenotypes, offering new insights into anti-GBM disease during pregnancy.

Indexed as

Anti-Glomerular Basement Membrane DiseaseAutoantibodiesCollagen Type IVKidneyLamininPregnancy ComplicationsAdultAutoantigensBiopsyFemaleHumansPregnancyAutoantibodiesAutoantigensCollagen Type IVLaminintype IV collagen alpha3 chainanti-GBM diseaseanti-laminin-521 antibodyanti-type IV collagen α1/α3 antibodykidney biopsypregnancy

Identifiers

PMID42305531
PMCPMC13265547

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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.