Evidence map›Paper›PMID 41958646›Full record

ArticleFrontiers in immunology2026

Resolving the renal microenvironment: a 5-plex immunofluorescence workflow to quantify B-lineage cells in FFPE lupus nephritis biopsies.

Caleb Chan, Patrick S Chang, Sreedevi Chalasani, Janet Tao, Harini Raghu, Cary D Austin

Abstract read
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. 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. 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

6 authors.

Caleb ChanDepartment of Pathology, Genentech, A Member of the Roche Group, South San Francisco, CA, United States.
Patrick S ChangDepartment of Pathology, Genentech, A Member of the Roche Group, South San Francisco, CA, United States.
Sreedevi ChalasaniDepartment of Pathology, Genentech, A Member of the Roche Group, South San Francisco, CA, United States.
Janet TaoDepartment of Pathology, Genentech, A Member of the Roche Group, South San Francisco, CA, United States.
Harini RaghuDepartment of Translational Medicine, Genentech, A Member of the Roche Group, South San Francisco, CA, United States.
Cary D AustinDepartment of Pathology, Genentech, A Member of the Roche Group, South San Francisco, CA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate identification and spatial enumeration of B lineage cells in formalin-fixed, paraffin-embedded (FFPE) lupus nephritis (LN) kidney tissue is critical for understanding disease pathogenesis and CD20-directed therapeutic responses. We developed a targeted 5-plex immunofluorescence and digital image analysis workflow for simultaneous enumeration of B cells, plasma cells (PCs), and plasmablasts (PBs) in FFPE human tissues that is amenable to deployment in LN clinical trials. We validated this workflow on two tonsils and eight LN biopsy tissue blocks. Comparison of B lineage markers confirmed that CD79a provides far superior sensitivity for interstitial B cells compared to CD19, establishing it as the requisite anchor for B cell burden assessment in FFPE lupus nephritis tissue. Accordingly, B cells were defined as CD79a

Indexed as

B-LymphocytesCellular MicroenvironmentFluorescent Antibody TechniqueKidneyLupus NephritisBiomarkersBiopsyCell LineageFemaleFormaldehydeHumansParaffin EmbeddingPlasma CellsSyndecan-1WorkflowBiomarkersFormaldehydeSyndecan-1antibody-secreting cellsASCsB cellsFFPEimmunofluorescencelupus nephritismultiplexplasma cells

Identifiers

PMID41958646
PMCPMC13058706

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.