Skip to content
EvidenceHelixEvidenceLib · Scientific Encyclopedia
⌘ K

Scientific library

EvidenceLib encyclopediaAll articles A–Z2,100Open textbooks2Cancer study catalog458How it is made

My workspace this browser

Saved pages0Notes & annotations0

Recently viewed

Explore by field

Cancer and Oncology107Genetics and Genomics95Neuroscience110Cardiovascular Medicine105Immunology90Pharmacology99Molecular Biology100Infectious Diseases102Rare and Inherited Diseases106Clinical Research98Anatomy and Physiology542Drugs and Chemicals546
Plans & pricingCompare EvidenceHelix workspace plans
Library›EvidenceLib›Anatomy and Physiology›B-Lymphocytes
Explore more with EvidenceHelix Workspace

Compare studies, analyze evidence and create research reports with premium tools.

Explore Researcher plans

Research reading room

B-Lymphocytes

Anatomy and Physiology · NLM MeSH · updated 2026-10-31 · version 1

Citations verified against PubMedNot yet clinician-reviewed9 referencesApproximately 3 min read

Lymphoid cells concerned with humoral immunity.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

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: 3 complete abstracts (449 words), 9 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

Lymphoid cells concerned with humoral immunity. They are short-lived cells resembling bursa-derived lymphocytes of birds in their production of immunoglobulin upon appropriate stimulation.

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: B Lymphocytes; B-Cells, Lymphocyte; B-Cell, Lymphocyte; B Cells, Lymphocyte; Lymphocyte B-Cell; Lymphocyte B-Cells; B-Lymphocyte; B Lymphocyte.

Where it fits in the MeSH classification

Broader topics
Antibody-Producing Cells; Lymphocytes
Narrower topics
B-Lymphocyte Subsets; Plasma Cells; Precursor Cells, B-Lymphoid
See also
Lymphocyte Cooperation; Germinal Center

Research landscape

PubMed indexes 110,431 records tagged with the MeSH heading “B-Lymphocytes” (counts retrieved 2026-10-31). 13,574 of them (12.3%) were published from 2020 onward, and the busiest period so far is through 1999 with 51,989 records.

Reviews account for 15,037 records (13.6%) and meta-analyses for 67. Randomized controlled trials number 505 (0.5%) 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.

PubMed records by publication periodthrough 1999: 51,989 records; 2000-2009: 20,260 records; 2010-2019: 24,608 records; 2020 onward: 13,574 records51,989through 199920,2602000-200924,6082010-201913,5742020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 199951,989
2000-200920,260
2010-201924,608
2020 onward13,574
Share of records by publication typeReviews: 13.6 percent; Meta-analyses: 0.1 percent; Randomized controlled trials: 0.5 percentReviews13.6% (15,037)Meta-analyses0.1% (67)Randomized controlled trials0.5% (505)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 110,431 PubMed records
TypeRecordsShare
Reviews15,03713.6%
Meta-analyses670.1%
Randomized controlled trials5050.5%

Method: PubMed query "B-Lymphocytes"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-31.

Reading the evidence in anatomy and physiology

Anatomy describes how body structures are built and physiology describes how they normally work, so most findings here are descriptive or mechanistic rather than evidence about treatment. Much of what is known comes from dissection, imaging, tissue studies and experiments in animals, and measurements in healthy volunteers can differ from those in people with disease or at different ages. Normal ranges vary between individuals and populations. Check whether a result was measured in people or in another species, the age and health of the participants, and the method used.

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 comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Replaying germinal center evolution on a quantified affinity landscape
DeWitt WS, Vora AA, Araki T, Galloway JG, Alkutkar T, Bortolatto J, et al.
2026Research article
Design not recorded in structured metadata
20cc by
PMID 42248140 · DOI · PMC13360575
Env-antibody coevolution identifies B cell priming as the principal bottleneck to HIV V2 apex broadly neutralizing antibody development
Habib R, Roark RS, Li H, Connell AJ, Hogarty MP, Wagh K, et al.
2026Research article
Design not recorded in structured metadata
18cc by
PMID 41686912 · DOI · PMC13015429
Affinity-matured B cell responses neutralizing type-I interferons underlie severe viral infections
Fournier M, Vanderkerken M, Dorgham K, Bastard P, Ahouzi O, Duquerroy S, et al.
2026Research article
Design not recorded in structured metadata
6cc by
PMID 42097138 · DOI · PMC13639993

Replaying germinal center evolution on a quantified affinity landscape [1]

Research article DeWitt WS, Vora AA, Araki T, Galloway JG, Alkutkar T, Bortolatto J, et al. · · 2026 · cited 20 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Darwinian evolution of immunoglobulin genes within germinal centers (GCs) underlies the progressive increase in antibody affinity following antigen exposure.
Closing excerpt
We infer a fitness landscape that quantitatively recapitulates the affinity maturation trajectory of our clone and find that apparent features of GC selection, such as permissiveness to low-affinity lineages and rapid plateauing of affinity, are likely artifacts of survivorship biases that distort our view of how B cell affinity progresses over time.
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 (148 words)

Darwinian evolution of immunoglobulin genes within germinal centers (GCs) underlies the progressive increase in antibody affinity following antigen exposure. Whereas the cellular mechanics of how competition between B cells increases affinity are well established, the evolutionary dynamics of this process are less clear. We developed an experimental evolution model in which we "replay" over one hundred monoclonal GC reactions, assigning affinities to each cell using deep mutational scanning. Our data reveal how GCs achieve predictable outcomes by means of noisy but persistent selection on an affinity landscape whose exploration is heavily constrained by somatic hypermutation biases. We infer a fitness landscape that quantitatively recapitulates the affinity maturation trajectory of our clone and find that apparent features of GC selection, such as permissiveness to low-affinity lineages and rapid plateauing of affinity, are likely artifacts of survivorship biases that distort our view of how B cell affinity progresses over time.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42248140 · DOI · PMC13360575

Env-antibody coevolution identifies B cell priming as the principal bottleneck to HIV V2 apex broadly neutralizing antibody development [2]

Research article Habib R, Roark RS, Li H, Connell AJ, Hogarty MP, Wagh K, et al. · · 2026 · cited 18 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Broadly neutralizing antibodies (bNAbs) are rarely elicited during HIV-1 infection.
Closing excerpt
These results indicate that efficiency of B cell priming, and not complexities in Env-guided affinity maturation, is a primary obstacle to V2 apex bNAb elicitation in SHIV-infected macaques and identify specific HIV-1 Envs to advance as vaccine platforms.
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 (150 words)

Broadly neutralizing antibodies (bNAbs) are rarely elicited during HIV-1 infection. To identify obstacles to bNAb development, we longitudinally studied 122 rhesus macaques infected by 1 of 16 different simian-human immunodeficiency viruses (SHIVs). We identified the V2 apex region of the envelope (Env) as the most common bNAb target and a subset of Envs that preferentially elicited these antibodies. In 10 macaques, we delineated Env-antibody coevolution from B cell priming to bNAb development. Antibody phylogenies revealed permissive developmental pathways guided by evolving Envs that contained few mutations in or near the V2 apex C-strand, which were a sensitive indicator of apex-targeted responses. The absence of such mutations reflected a failure in bNAb priming. These results indicate that efficiency of B cell priming, and not complexities in Env-guided affinity maturation, is a primary obstacle to V2 apex bNAb elicitation in SHIV-infected macaques and identify specific HIV-1 Envs to advance as vaccine platforms.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41686912 · DOI · PMC13015429

Affinity-matured B cell responses neutralizing type-I interferons underlie severe viral infections [3]

Research article Fournier M, Vanderkerken M, Dorgham K, Bastard P, Ahouzi O, Duquerroy S, et al. · · 2026 · cited 6 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Autoantibodies neutralizing type-I interferons (AAN-I-IFNs) emerge as global, common, and strong determinants of a growing number of severe viral diseases.
Closing excerpt
These findings support a model in which a germinal-center-derived memory B cell response directed against type-I IFNs is established before severe viral infection, providing a core mechanism linking T cell tolerance defect to pathogenic AAN-I-IFNs underlying severe viral diseases.
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 (151 words)

Autoantibodies neutralizing type-I interferons (AAN-I-IFNs) emerge as global, common, and strong determinants of a growing number of severe viral diseases. We report that AAN-I-IFNs+ patients with life-threatening COVID-19 pneumonia harbor circulating type-I IFN-specific B cells indistinguishable from patients bearing T cell tolerance defects of genetic origin. This autoimmune response mobilizes a highly diverse and stable circulating B cell response that is detected prior to severe viral infection and acquires high affinity and neutralization potential to type-I IFNs through extended somatic hypermutation. X-ray crystallography and AlphaFold3 structural analysis of hundreds of patient-derived monoclonal antibodies reveals the extended breadth of this response, targeting three major B cell epitopes covering all facets of type-I IFNs. These findings support a model in which a germinal-center-derived memory B cell response directed against type-I IFNs is established before severe viral infection, providing a core mechanism linking T cell tolerance defect to pathogenic AAN-I-IFNs underlying severe viral diseases.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42097138 · DOI · PMC13639993

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 Lymphocyte Subset Counts in COVID-19 Patients: A Meta-Analysis [4]
    Huang W, Berube J, McNamara M, Saksena S, Hartman M, Arshad T, et al. · Cytometry A · 2020 · cited 187 times (Europe PMC)
  • Research article Gut-associated lymphoid tissue: a microbiota-driven hub of B cell immunity [5]
    Bemark M, Pitcher MJ, Dionisi C, Spencer J · Trends Immunol · 2024 · cited 102 times (Europe PMC)
  • Research article Opportunities and limitations of B cell depletion approaches in SLE [6]
    Stockfelt M, Teng YKO, Vital EM · Nat Rev Rheumatol · 2025 · cited 66 times (Europe PMC)
  • Research article B cell-targeting chimeric antigen receptor T cells as an emerging therapy in neuroimmunological diseases [7]
    Haghikia A, Schett G, Mougiakakos D · Lancet Neurol · 2024 · cited 59 times (Europe PMC)
  • Research article B cell immunometabolism in health and disease [8]
    Martinis E, Tonon S, Colamatteo A, La Cava A, Matarese G, Pucillo CEM · Nat Immunol · 2025 · cited 54 times (Europe PMC)
  • Research article The essential roles of memory B cells in the pathogenesis of systemic lupus erythematosus [9]
    Dörner T, Lipsky PE · Nat Rev Rheumatol · 2024 · cited 51 times (Europe PMC)

References

  1. DeWitt WS, Vora AA, Araki T, Galloway JG, Alkutkar T, Bortolatto J, et al.. Replaying germinal center evolution on a quantified affinity landscape. . 2026. PMID 42248140 · DOI · PMC13360575
  2. Habib R, Roark RS, Li H, Connell AJ, Hogarty MP, Wagh K, et al.. Env-antibody coevolution identifies B cell priming as the principal bottleneck to HIV V2 apex broadly neutralizing antibody development. . 2026. PMID 41686912 · DOI · PMC13015429
  3. Fournier M, Vanderkerken M, Dorgham K, Bastard P, Ahouzi O, Duquerroy S, et al.. Affinity-matured B cell responses neutralizing type-I interferons underlie severe viral infections. . 2026. PMID 42097138 · DOI · PMC13639993
  4. Huang W, Berube J, McNamara M, Saksena S, Hartman M, Arshad T, et al.. Lymphocyte Subset Counts in COVID-19 Patients: A Meta-Analysis. Cytometry A. 2020. PMID 32542842 · DOI · PMC7323417
  5. Bemark M, Pitcher MJ, Dionisi C, Spencer J. Gut-associated lymphoid tissue: a microbiota-driven hub of B cell immunity. Trends Immunol. 2024. PMID 38402045 · DOI · PMC11227984
  6. Stockfelt M, Teng YKO, Vital EM. Opportunities and limitations of B cell depletion approaches in SLE. Nat Rev Rheumatol. 2025. PMID 39815102 · DOI
  7. Haghikia A, Schett G, Mougiakakos D. B cell-targeting chimeric antigen receptor T cells as an emerging therapy in neuroimmunological diseases. Lancet Neurol. 2024. PMID 38760099 · DOI
  8. Martinis E, Tonon S, Colamatteo A, La Cava A, Matarese G, Pucillo CEM. B cell immunometabolism in health and disease. Nat Immunol. 2025. PMID 39984733 · DOI
  9. Dörner T, Lipsky PE. The essential roles of memory B cells in the pathogenesis of systemic lupus erythematosus. Nat Rev Rheumatol. 2024. PMID 39511302 · 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 2026-10-31.

See how EvidenceLib is built. Spotted an error? Email support@evidencehelix.com.

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.

Included with the Researcher plan

Reading every article stays free. This computed view is part of the paid plans.

See plans Sign in

Your notes

Notes and highlights stay in this browser only; they are not sent to EvidenceHelix.

Related research topics

  • Plasma CellsAnatomy and Physiology
  • T-LymphocytesAnatomy and Physiology
  • LymphocytesAnatomy and Physiology
  • Memory B CellsAnatomy and Physiology
  • Memory T CellsAnatomy and Physiology
  • T-Lymphocyte SubsetsAnatomy and Physiology

All 542 articles in Anatomy and Physiology →

At a glance

110,431
PubMed records on this heading
12%
published since 2020
15,037
review articles
505
randomized trials
9
verified references below

Counts come from PubMed on 2026-10-31; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Plasma CellsAnatomy and Physiology
  • T-LymphocytesAnatomy and Physiology
  • LymphocytesAnatomy and Physiology
  • Memory B CellsAnatomy and Physiology
  • Memory T CellsAnatomy and Physiology

My notes & annotations (0)

Nothing yet. Select text and press Highlight, or write a note in the Notes tab. Stored in this browser only.

Sources

  • NLM MeSH record ↗
  • PubMed search used ↗

EvidenceLib is a research-education resource, not medical advice. It does not diagnose, prescribe or recommend starting, stopping or changing any treatment. Talk to a qualified clinician about your own situation. Methods, sources and licences · Legal · Support