JCI InsightImmunologyPeer-reviewed journal article
Follicular Bcl6 reactivity is associated with a unique immune landscape and spatial transcriptome in COVID-19
Cloé BrennaiD, Bernat Bramon MoraiD, Kalliopi IoannidouiD, Julien BodeletiD, Mia Siebmanns, Simon BurgermeisteriD, Spiros GeorgakisiD, Michail OrfanakisiD, Yannick D. MülleriD, Nazanin Sédille, Matthew J. FeinsteiniD, Jon W. LomasneyiD, Oliver Y. ChéniD, Giuseppe PantaleoiD, Sabina BerezowskaiD, Laurence de LevaliD, Raphaël GottardoiD, Constantinos PetrovasiD
Abstract
The regulation of follicular (F) and germinal center (GC) immune reactivity in human lymph nodes (LNs), particularly during the early stages of viral infections, remains poorly understood. We have analyzed lung-draining lymph nodes (LD-LNs) from COVID-19 autopsies using multiplex imaging and spatial transcriptomics to examine the immune landscape and with respect to the aging. We identified three subgroups of Reactive Follicles (RFs) based on Bcl6 prevalence, RF-Bcl6no/low, RF-Bcl6int and RF-Bcl6high. RF-Bcl6high tissues express a distinct B/TFH immune landscape associated with increased prevalence of proliferating B- and TFH-cell subsets. Comparison between LD-LNs and matched subdiaphragmatic LNs revealed a disconnected Bcl6 reactivity between the two anatomical sites. LD-LNs Bcl6 reactivity was associated with a distinct spatial transcriptomic profile. TH1-associated genes/pathways (e.g. CXCR3, STAT5, TNF signaling) were significantly upregulated in RF-Bcl6no/low tissues while the RF-Bcl6high tissues exhibited significant upregulation of GC-promoting genes/pathways (e.g. CXCL13, B cell receptor signaling). Despite the similar prevalence, the in-situ transcriptome profiling indicates a higher monocyte/macrophage functionality in "Aged" compared to "Young" follicles from donors with comparable Bcl6 reactivity. Our findings reveal a heterogeneous F/GC landscape in COVID-19 LD-LNs and highlight specific molecular targets and pathways that could regulate human F/GC immune dynamics during early viral infections.
- organism: human
- assay: spatial transcriptomics
- research focus: cell type annotation
- research focus: differential expression
- approach: microscopy & imaging analysis
- Citations
- 2
- FWCI
- 1.34
- Field percentile
- top 20%
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Single-cell transcriptomic analysis of SARS-CoV-2 reactive CD4+ T cells
B. J. Meckiff, C. Ramirez-Suastegui, … P. Vijayanand·bioRxiv·Jun 12, 2020
- Spatial transcriptomic characterization of COVID-19 pneumonitis identifies immune circuits related to tissue injury
A. R. Cross, C. de Andrea, … F. Issa·bioRxiv·Jun 21, 2021
- Single cell transcriptomic re-analysis of immune cells in bronchoalveolar lavage fluids reveals the correlation of B cell characteristics and disease severity of patients with SARS-CoV-2 infection
- Distinct cellular immune profiles in the airways and blood of critically ill patients with COVID 19
A. Saris, T. D. Reijnders, … J. J. Garcia Vallejo·bioRxiv·Oct 29, 2020
- A single-cell atlas of lymphocyte adaptive immune repertoires and transcriptomes reveals age-related differences in convalescent COVID-19 patients
F. Bieberich, R. Vazquez-Lombardi, … S. T. Reddy·bioRxiv·Feb 12, 2021
- Single-cell analysis of lung epithelial cells reveals age and cell population-specific responses to SARS-CoV-2 infection in ciliated cells
Raven M. Osborn, Christopher Anderson, … Juilee Thakar·Clinical & Experimental ImmunologyPeer-reviewed·Dec 6, 2024