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. 2025 May 2:16:1508786.
doi: 10.3389/fimmu.2025.1508786. eCollection 2025.

B-cell immune repertoire sequencing in tobacco cigarette smoking, vaping, and chronic obstructive pulmonary disease in the COPDGene cohort

Affiliations

B-cell immune repertoire sequencing in tobacco cigarette smoking, vaping, and chronic obstructive pulmonary disease in the COPDGene cohort

Matthew Moll et al. Front Immunol. .

Abstract

Rationale: Cigarette smoking (CS) impairs B-cell function and antibody production, increasing infection risk. The impact of e-cigarette use ('vaping') and combined CS and vaping ('dual-use') on B-cell activity is unclear.

Objective: To examine B-cell receptor sequencing (BCR-seq) profiles associated with CS, vaping, and dual-use.

Methods: BCR-seq was performed on blood RNA samples from 234 participants in the COPDGene study. We assessed multivariable associations of B-cell function measures (immunoglobulin heavy chain (IGH) subclass expression and usage, class-switching, V allele usage, and clonal expansion) with CS, vaping, and dual-use. We adjusted for multiple comparisons using the Benjamini-Hochberg method, identifying significant associations at 5% FDR and suggestive associations at 10% FDR.

Results: Among 234 non-Hispanic white (NHW) and African American (AA) participants, CS and dual-use were significantly positively associated with increased secretory IgA production, with dual-use showing the strongest associations. Dual-use was positively associated with class switching and B-cell clonal expansion, indicating increased B-cell activation, with similar trends in those only smoking or only vaping. The IGHV5-51*01 allele was increased in dual users.

Conclusions: CS and vaping additively enhance B-cell activation, most notably in dual-users. CS and vaping are significantly associated to multiple alterations in B-cell function including increased class switching, clonal expansion, and a shift towards IgA-producing cell populations. These changes could be relevant to response to infection and vaccinations and merit further study.

Keywords: B cell; COPD; immune repertoire; smoking; vaping.

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Conflict of interest statement

MM received consulting fees from TheaHealth, 2ndMD, TriNetX, Axon Advisors, Sano". CH reports grant support from Boehringer-Ingelheim, Novartis, Bayer and Vertex, outside of this study. PC has received grant support from Bayer and Sano" consulting fees from Verona Pharma. ES has received institutional grant support from Bayer and Northpond Laboratories. MS has received funding/support from AstraZeneca, Regeneron, and Sano", and has a financial interest in Crosswalk Health. The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest. The authors declare that this study received funding from the COPD Foundationt hrough contributions made to an Industry Advisory Board that has included AstraZeneca, Bayer Pharmaceuticals, Boehringer Ingelheim, Genentech, GlaxoSmithKline, Novartis, Pfizer, and Sunovion. The funder was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.

Figures

Figure 1
Figure 1
Schematic of study design. COPDGene, Genetic Epidemiology of COPD study; BCR, B-cell receptor; COPD, chronic obstructive pulmonary disease.
Figure 2
Figure 2
Associations of BCR measures with vaping and cigarette smoking. Significant associations between BCR measures and vaping, cigarette smoking, and dual-use from multivariable models analyzing class switching, isotype expression and usage, V allele usage, and CDR3 length (in nucleotides) are shown in (A). (B) shows IgM, IgA and IgG isotype usage among participants engaged in current smoking, vaping, or dual-use with former smokers included for comparison. Significance is assessed by t-tests. *p<=0.05, **p<=0.005, ns p>0.05.
Figure 3
Figure 3
Hill biodiversity numbers show less antibody diversity (and more clonal expansion) in dual users relative to other smoking/vaping groups. The top panel is a boxplot showing that the dual users (i.e., vaping + smoking) have lower log-Hill values than other groups. In the bottom panel, we collapsed all other groups and compared the hill numbers in a continuous fashion over a range of q-values.
Figure 4
Figure 4
Difference in CDR3 length between current vaping and former smoking participants.
Figure 5
Figure 5
Associations of BCR measures with self-reported race. Significant associations between BCR measures and self-reported AA or NHW race from multivariable models analyzing class switching, isotype expression and usage, V allele usage, and CDR3 length (in nucleotides) are shown in (A). (B) shows IgG and IgM isotype usage by self-reported race. Significance is assessed by t-tests. *p<=0.05, **p<=0.005, ns p>0.05.
Figure 6
Figure 6
Univariate associations of immunoglobulin subtype usage across smoking/vaping group, separated by self-identified race. NHW, non-Hispanic white; AA, African American. Student t-tests were performed and p-values < 0.05 are indicate by with an asterisk (*).

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