Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 4 complete abstracts (766 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
Gene rearrangement of the B-lymphocyte which results in a substitution in the type of heavy-chain constant region that is expressed. This allows the effector response to change while the antigen binding specificity (variable region) remains the same. The majority of class switching occurs by a DNA recombination event but it also can take place at the level of RNA processing.
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Class Switching, Immunoglobulin; Class Switchings, Immunoglobulin; Immunoglobulin Class Switchings; Switching, Immunoglobulin Class; Switchings, Immunoglobulin Class; Ig Class Switching; Class Switching, Ig; Class Switchings, Ig.
Where it fits in the MeSH classification
- Broader topics
- Gene Rearrangement, B-Lymphocyte, Heavy Chain
Research landscape
PubMed indexes 2,593 records tagged with the MeSH heading “Immunoglobulin Class Switching” (counts retrieved 2026-10-29). 378 of them (14.6%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 948 records.
Reviews account for 445 records (17.2%) and meta-analyses for 1. Randomized controlled trials number 4 (0.2%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.
Show the data
| Period | Records |
|---|---|
| through 1999 | 401 |
| 2000-2009 | 866 |
| 2010-2019 | 948 |
| 2020 onward | 378 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 445 | 17.2% |
| Meta-analyses | 1 | 0.0% |
| Randomized controlled trials | 4 | 0.2% |
Method: PubMed query "Immunoglobulin Class Switching"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.
Reading the evidence in immunology
Immune responses are studied in model organisms, in cells from donors and in patients, and the same pathway can behave differently across these settings. Mouse immune systems differ from human ones in important ways, and blood measurements may not reflect what happens in tissues. Clinical conclusions about immune-mediated disease or immunotherapy come mainly from controlled trials and long-term cohorts. Check the species and tissue studied, whether markers were linked to outcomes patients notice, and the follow-up time.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
| Study / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| Phylogenetic analysis of migration, differentiation, and class switching in B cells | 2022 | Research article Design not recorded in structured metadata | 112 | cc by PMID 35468128 · DOI · PMC9037912 |
| Analysis of IgG4 class switch-related molecules in IgG4-related disease | 2012 | Research article Design not recorded in structured metadata | 87 | cc by PMID 22824292 · DOI · PMC3580565 |
| IgG subclass switching and clonal expansion in cutaneous melanoma and normal skin | 2016 | Research article Design not recorded in structured metadata | 67 | cc by PMID 27411958 · DOI · PMC4944184 |
| Intranasal booster drives class switching and homing of memory B cells for mucosal IgA response | 2026 | Research article Design not recorded in structured metadata | 8 | cc by PMID 41433108 · DOI · PMC12892890 |
Phylogenetic analysis of migration, differentiation, and class switching in B cells [1]
Abstract reading summary — source excerpts
- Opening excerpt
- B cells undergo rapid mutation and selection for antibody binding affinity when producing antibodies capable of neutralizing pathogens.
- Closing excerpt
- io.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (147 words)
B cells undergo rapid mutation and selection for antibody binding affinity when producing antibodies capable of neutralizing pathogens. This evolutionary process can be intermixed with migration between tissues, differentiation between cellular subsets, and switching between functional isotypes. B cell receptor (BCR) sequence data has the potential to elucidate important information about these processes. However, there is currently no robust, generalizable framework for making such inferences from BCR sequence data. To address this, we develop three parsimony-based summary statistics to characterize migration, differentiation, and isotype switching along B cell phylogenetic trees. We use simulations to demonstrate the effectiveness of this approach. We then use this framework to infer patterns of cellular differentiation and isotype switching from high throughput BCR sequence datasets obtained from patients in a study of HIV infection and a study of food allergy. These methods are implemented in the R package dowser, available at https://dowser.readthedocs.io.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 35468128 · DOI · PMC9037912
Analysis of IgG4 class switch-related molecules in IgG4-related disease [2]
Abstract reading summary — source excerpts
- Opening excerpt
- IntroductionImmunoglobulin G4 (IgG4)-related disease (IgG4-RD) is a new disease entity characterized by high serum IgG4 levels, IgG4-positive plasmacytic infiltration, and fibrosis in various organs.
- Closing excerpt
- IgG4 class-switch recombination seems to be mainly upregulated in affected organs.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (233 words)
IntroductionImmunoglobulin G4 (IgG4)-related disease (IgG4-RD) is a new disease entity characterized by high serum IgG4 levels, IgG4-positive plasmacytic infiltration, and fibrosis in various organs. The purpose of this study was to determine the mechanism of upregulation of IgG4 class switch recombination in IgG4-RD.MethodsWe extracted RNA from peripheral blood mononuclear cells (PBMCs) of patients with IgG4-RD (n = 6), Sjögren syndrome (SS) (n = 6), and healthy controls (n = 8), from CD3-positive T cells and CD20-positive B cells sorted from PBMCs of patients with IgG4-RD (n = 3), SS (n = 4), and healthy controls (n = 4), as well as from labial salivary glands (LSGs) of patients with IgG4-RD (n = 11), SS (n = 13), and healthy controls (n = 3). The mRNA expression levels of IgG4-specific class switch-related molecules, such as Th2 cytokines (IL-4 and IL-13), Treg cytokines (IL-10 and TGF-β), and transcriptional factors (GATA3 and Foxp3) were examined with quantitative polymerase chain reaction (PCR). IgG4-nonspecific class switch-related molecules, such as CD40, CD154, BAFF, APRIL, IRF4, and AID, were also examined.ResultsThe expression levels of Treg cytokines (IL-10 and TGF-β) and AID were significantly higher in LSGs of IgG4-RD than in SS and the controls (P ConclusionOverexpression of IL-10, TGF-β, and AID in LSGs might play important roles in the pathogenesis of IgG4-RD, such as IgG4-specific class-switch recombination and fibrosis. IgG4 class-switch recombination seems to be mainly upregulated in affected organs.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 22824292 · DOI · PMC3580565
IgG subclass switching and clonal expansion in cutaneous melanoma and normal skin [3]
Abstract reading summary — source excerpts
- Opening excerpt
- B cells participate in immune surveillance in human circulation and tissues, including tumors such as melanoma.
- Closing excerpt
- Evidence for IgG-expressing B cells, class switching and antibody maturation in normal and malignant skin and clonally-expanded antibodies in melanoma, support the involvement of mature B cells in cutaneous immunity.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (207 words)
B cells participate in immune surveillance in human circulation and tissues, including tumors such as melanoma. By contrast, the role of humoral responses in cutaneous immunity is underappreciated. We report circulating skin-homing CD22+CLA+B cells in healthy volunteers and melanoma patients (n = 73) and CD22+ cells in melanoma and normal skin samples (n = 189). Normal and malignant skin featured mature IgG and CD22 mRNA, alongside mRNA for the transiently-expressed enzyme Activation-induced cytidine Deaminase (AID). Gene expression analyses of publically-available data (n = 234 GEO, n = 384 TCGA) confirmed heightened humoral responses (CD20, CD22, AID) in melanoma. Analyses of 51 melanoma-associated and 29 normal skin-derived IgG sequence repertoires revealed lower IgG1/IgGtotal representation compared with antibodies from circulating B cells. Consistent with AID, comparable somatic hypermutation frequencies and class-switching indicated affinity-matured antibodies in normal and malignant skin. A melanoma-associated antibody subset featured shorter complementarity-determining (CDR3) regions relative to those from circulating B cells. Clonal amplification in melanoma-associated antibodies and homology modeling indicated differential potential antigen recognition profiles between normal skin and melanoma sequences, suggesting distinct antibody repertoires. Evidence for IgG-expressing B cells, class switching and antibody maturation in normal and malignant skin and clonally-expanded antibodies in melanoma, support the involvement of mature B cells in cutaneous immunity.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 27411958 · DOI · PMC4944184
Intranasal booster drives class switching and homing of memory B cells for mucosal IgA response [4]
Abstract reading summary — source excerpts
- Opening excerpt
- Mucosal secretory IgA (sIgA) plays a central role in protecting against the invasion of respiratory pathogen via the upper respiratory tract.
- Closing excerpt
- Our findings demonstrate that intranasal booster can be an effective strategy for inducing upper respiratory mucosal sIgA and establishing mucosal immune protection.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (179 words)
Mucosal secretory IgA (sIgA) plays a central role in protecting against the invasion of respiratory pathogen via the upper respiratory tract. To understand how intranasal booster induces mucosal sIgA response in humans, we first used liquid chromatography-tandem mass spectrometry for peptide identification of immunoglobulin (MS Ig-seq) and single-cell B cell receptor sequencing (scBCR-seq) to identify 42 mucosal spike-specific sIgA monoclonal antibodies (mAbs) after intranasal booster. These mucosal sIgA mAbs exhibited enhanced neutralization up to 100-fold against SARS-CoV-2 variants compared with their monomeric IgG and IgA isotypes. Deep sequencing and longitudinal analysis of B cell receptor repertoires revealed that intranasal booster restimulates memory B cells primed by intramuscular vaccination to undergo IgA class switching, somatic hypermutation, and clonal expansion. Single-cell RNA-seq (scRNA-seq) revealed that intranasal booster upregulated the expression of mucosal homing receptors in spike-specific IgA-expressing B cells. This increase coincided with a transient increase of cytokines and chemokines that facilitate B cell recruitment in the nasal mucosa. Our findings demonstrate that intranasal booster can be an effective strategy for inducing upper respiratory mucosal sIgA and establishing mucosal immune protection.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41433108 · DOI · PMC12892890
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article Mechanism and regulation of class switch recombination [5]
- Research article The regulation of IgA class switching [6]
- Research article Class-switch recombination: interplay of transcription, DNA deamination and DNA repair [7]
- Research article Immunoglobulin class-switch DNA recombination: induction, targeting and beyond [8]
- Research article The regulation of immunoglobulin E class-switch recombination [9]
- Research article Mechanism and control of class-switch recombination [10]
References
- Hoehn KB, Pybus OG, Kleinstein SH. Phylogenetic analysis of migration, differentiation, and class switching in B cells. . 2022. PMID 35468128 · DOI · PMC9037912
- Tsuboi H, Matsuo N, Iizuka M, Tsuzuki S, Kondo Y, Tanaka A, et al.. Analysis of IgG4 class switch-related molecules in IgG4-related disease. . 2012. PMID 22824292 · DOI · PMC3580565
- Saul L, Ilieva KM, Bax HJ, Karagiannis P, Correa I, Rodriguez-Hernandez I, et al.. IgG subclass switching and clonal expansion in cutaneous melanoma and normal skin. . 2016. PMID 27411958 · DOI · PMC4944184
- Chen S, Zhang Z, Lin Z, Yin L, Ning L, Liu W, et al.. Intranasal booster drives class switching and homing of memory B cells for mucosal IgA response. . 2026. PMID 41433108 · DOI · PMC12892890
- Stavnezer J, Guikema JE, Schrader CE. Mechanism and regulation of class switch recombination. Annu Rev Immunol. 2008. PMID 18370922 · DOI · PMC2707252
- Cerutti A. The regulation of IgA class switching. Nat Rev Immunol. 2008. PMID 18483500 · DOI · PMC3062538
- Chaudhuri J, Alt FW. Class-switch recombination: interplay of transcription, DNA deamination and DNA repair. Nat Rev Immunol. 2004. PMID 15229473 · DOI
- Xu Z, Zan H, Pone EJ, Mai T, Casali P. Immunoglobulin class-switch DNA recombination: induction, targeting and beyond. Nat Rev Immunol. 2012. PMID 22728528 · DOI · PMC3545482
- Geha RS, Jabara HH, Brodeur SR. The regulation of immunoglobulin E class-switch recombination. Nat Rev Immunol. 2003. PMID 12949496 · DOI
- Manis JP, Tian M, Alt FW. Mechanism and control of class-switch recombination. Trends Immunol. 2002. PMID 11801452 · DOI
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-10-29.
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Evidence strength
EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.