Evidence map›Paper›PMID 39651286›Full record

ArticlebioRxiv : the preprint server for biology2024

Inflammation in Areas of Fibrosis Precedes Loss of Kidney Function in Lupus Nephritis.

Silvia Malvica, Paride Fenaroli, Chen-Yu Lee, Sarah Louis, Alessandra Ida Celia, Serena Bagnasco, Xiaoping Yang, Jeffrey B Hodgin, Jill Buyon, Laurence Magder and 4 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

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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

5 · Who and what money

Authors and funding

14 authors.

Silvia Malvica
Paride Fenaroli
Sarah Louis
Alessandra Ida Celia
Serena Bagnasco
Xiaoping Yang
Jeffrey B Hodgin
Jill Buyon
Laurence Magder
Michelle Petri
Accelerating Medicines Partnership: RA/SLE Network
Avi Rosenberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Interstitial fibrosis in lupus nephritis (LN) is often infiltrated by immune cells but typically regarded as nonspecific "scar reaction." This study aimed to investigate the relationship between inflammatory fibrosis and kidney disease progression in LN. Methods: Interstitial fibrosis and tubular atrophy (IFTA) were scored in 124 LN kidney biopsies. Inflammation in areas of IFTA (i-IFTA) was graded 0-3 according to the Banff Classification of Allograft Pathology. Significant glomerular filtration rate (GFR) loss was defined as a decline of >15 ml/min at 3 years from biopsy. Immune cell phenotype was defined by serial immunohistochemistry (13-plex). Results: IFTA was observed in 88/124 (71%) biopsies, and i-IFTA was identified in 76/88 (86%) cases. The distribution of i-IFTA grades was heterogenous across all IFTA grades. In patients with moderate-to-severe IFTA (>25%), the degree of i-IFTA was associated with a higher risk of significant GFR loss: 0/2 (0%), 1/3 (33%), 3/4 (75%), and 7/9 (78%) for i-IFTA grades 0, 1, 2, and 3, respectively (p = 0.028). Multiplexed histology revealed that i-IFTA was mostly composed of CD163+ macrophages and CD4 T cells, followed by CD8 T cells and granulocytes. Conclusion: I-IFTA is frequently observed in LN and is dominated by macrophages and T cells. For patients with baseline IFTA >25%, the degree of i-IFTA emerged as a predictor of GFR loss. These data support the routine scoring of i-IFTA in LN due to its prognostic implications and nominate i-IFTA as a potential therapeutic target. LAY SUMMARY: Scar tissue often contains immune cells, but we still do not fully understand their role. In lupus nephritis (LN), this is typically dismissed as "nonspecific inflammation". However, our study analyzed kidney biopsies from 124 people with LN and found that inflammation in scarred areas may predict future kidney function loss. Specifically, we identified a type of immune cell, CD163+ macrophages, that may contribute to scarring and kidney damage. Our findings suggest that routinely assessing inflammation in scarred areas could help predict kidney health in LN patients and highlight a possible new target for therapies to prevent kidney damage.

Identifiers

PMID39651286
PMCPMC11623599

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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.