Skip to content
DraconiticResearch
Search Sources API
203,234 studies31 sourcesUpdated 21 min ago
Peer-reviewedCC BY 4.0Frontiers in Immunology

Decoding molecular heterogeneity in lupus nephritis: integrating single-cell and spatial multi-omics for endotype-driven precision therapeutics

  1. 1Department of Traditional Chinese Medicine, Jiangxi University of Chinese Medicine
  2. 2Department of Traditional Chinese Medicine, Gaoxin Branch of the First Affiliated Hospital, Nanchang University

Abstract

Lupus nephritis (LN) develops in 40–60% of patients with systemic lupus erythematosus (SLE) and remains the leading cause of renal morbidity and progression to end-stage renal disease (ESRD). While the upstream immunological events initiating LN—including loss of self-tolerance, pathogenic autoantibody production, glomerular immune complex deposition, and type I interferon (IFN) activation—are broadly shared, accumulating evidence demonstrates that these convergent triggers give rise to molecularly heterogeneous tissue injury programs at the renal level. This fundamental divergence provides a mechanistic explanation for the inconsistent therapeutic responses observed with standardized immunosuppressive protocols. Advances in single-cell transcriptomics, spatial gene expression mapping, CITE-seq, and cross-platform multi-omic integration have deconvolved this heterogeneity into at least five recognizable tissue-level injury programs: (i) an IFN-γ-polarized macrophage–tubular epithelial cell co-activation circuit, (ii) a Tfh–B cell ectopic germinal center pathway, (iii) a neutrophil extracellular trap (NET)-driven inflammatory cascade, (iv) a podocyte-autonomous injury program, and (v) a TREM2+ macrophage-orchestrated fibrotic program. Concurrently, multiplexed urinary biomarker platforms are under development as non-invasive surrogates for tissue-level pathogenic activity. This review synthesizes current understanding of disease mechanisms, molecular profiling evidence, biomarker candidates, and mechanism-directed therapies corresponding to each tissue injury program. We map existing and investigational agents—including anifrolumab, obinutuzumab, voclosporin, CAR-T cell therapy, and complement inhibitors—to their mechanistic targets and delineate the design requirements for prospective biomarker-stratified trials essential to validating molecularly guided treatment selection.

Related

  1. Deciphering the gut-liver axis in MASLD: from dysbiosis-driven pathogenesis to precision microbiome therapeutics
    Wenxin Liu, Yi Lan, Xia Chen +3
    Frontiers in microbiologyPeer-reviewedCC BYFull textMicrobiologyEurope PMC
  2. TA-TMA as a clinical model for precision complement therapeutics in stem cell transplantation
    Sonata Jodele
    Frontiers in ImmunologyPeer-reviewedCC BY 4.0Full textImmunologyCrossrefEurope PMC
  3. Personalized cancer vaccines: bridging immune-oncology and precision medicine for advanced therapeutics
    Leiguang Ye, Guo Zhao, Jiaxiu Ma +6
    Signal Transduction and Targeted TherapyPeer-reviewedCC BY-NC-NDFull text10 citedImmunologyOpenAlex
  4. Multiscale predictive cellular modeling: integrating hypothesis grammars, digital twins, and multi-omics for In silico oncology and precision theranostics
    S.T. Gopukumar, Dyumn Dwivedi, Mohamed Rahamathulla +6
    Functional & Integrative GenomicsPeer-reviewedLicence not statedFull text7 citedPlant biologyOpenAlex
  5. Ark-ADMET: endpoint-specific selection of molecular representations and hyperparameters for gradient-boosted ADMET models under the Therapeutics Data Commons benchmark protocol
    Y. Shi, H. Luo, F. Liu +1
    bioRxivPreprintCC BYFull textBioinformatics & computational biologybioRxiv
BibTeX
@article{zhou2026decoding,
  title = {{Decoding molecular heterogeneity in lupus nephritis: integrating single-cell and spatial multi-omics for endotype-driven precision therapeutics}},
  author = {Jun Zhou and Wei Xiao and Hui Jian},
  journal = {Frontiers in Immunology},
  year = {2026},
  month = oct,
  doi = {10.3389/fimmu.2026.1987126},
  url = {https://www.frontiersin.org/articles/10.3389/fimmu.2026.1987126/full},
  note = {CC BY 4.0},
}
RIS
TY  - JOUR
TI  - Decoding molecular heterogeneity in lupus nephritis: integrating single-cell and spatial multi-omics for endotype-driven precision therapeutics
AU  - Jun Zhou
AU  - Wei Xiao
AU  - Hui Jian
PY  - 2026
DA  - 2026/10/14
JO  - Frontiers in Immunology
DO  - 10.3389/fimmu.2026.1987126
UR  - https://www.frontiersin.org/articles/10.3389/fimmu.2026.1987126/full
AB  - Lupus nephritis (LN) develops in 40–60% of patients with systemic lupus erythematosus (SLE) and remains the leading cause of renal morbidity and progression to end-stage renal disease (ESRD). While the upstream immunological events initiating LN—including loss of self-tolerance, pathogenic autoantibody production, glomerular immune complex deposition, and type I interferon (IFN) activation—are broadly shared, accumulating evidence demonstrates that these convergent triggers give rise to molecularly heterogeneous tissue injury programs at the renal level. This fundamental divergence provides a mechanistic explanation for the inconsistent therapeutic responses observed with standardized immunosuppressive protocols. Advances in single-cell transcriptomics, spatial gene expression mapping, CITE-seq, and cross-platform multi-omic integration have deconvolved this heterogeneity into at least five recognizable tissue-level injury programs: (i) an IFN-γ-polarized macrophage–tubular epithelial cell co-activation circuit, (ii) a Tfh–B cell ectopic germinal center pathway, (iii) a neutrophil extracellular trap (NET)-driven inflammatory cascade, (iv) a podocyte-autonomous injury program, and (v) a TREM2+ macrophage-orchestrated fibrotic program. Concurrently, multiplexed urinary biomarker platforms are under development as non-invasive surrogates for tissue-level pathogenic activity. This review synthesizes current understanding of disease mechanisms, molecular profiling evidence, biomarker candidates, and mechanism-directed therapies corresponding to each tissue injury program. We map existing and investigational agents—including anifrolumab, obinutuzumab, voclosporin, CAR-T cell therapy, and complement inhibitors—to their mechanistic targets and delineate the design requirements for prospective biomarker-stratified trials essential to validating molecularly guided treatment selection.
SN  - 1664-3224
ER  -