ArticleDiscovery medicine2018
Hiding in plain sight: time to unlock autoimmune clues in human CD5+ B cells by using nextgen technology.
Article in Discovery medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 10 citations in OpenAlex.
- Effects of Anti-CD20 Antibody Therapy on Immune Cell Dynamics in Relapsing-Remitting Multiple Sclerosis.Cells · 2025Article
- The role of autoantibodies in bridging obesity, aging, and immunosenescence.Immunity & ageing : I & A · 2024Review
- Impact of Anti-nuclear Antibody Seropositivity on Clinicopathological Parameters, Treatment Response, and Survival in Lymphoma Patients.Asian Pacific journal of cancer prevention : APJCP · 2024Article
- Environmental Triggering of Type 1 Diabetes Autoimmunity.Frontiers in endocrinology · 2022Review
- The methods and advances of adaptive immune receptors repertoire sequencing.Theranostics · 2021Article
- Aging and Options to Halt Declining Immunity to Virus Infections.Frontiers in immunology · 2021Review
- Current understandings of the pathogenesis of type 1 diabetes: Genetics to environment.World journal of diabetes · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
CD5+ B cells expand in many autoimmune diseases, including type 1 diabetes (T1D), rheumatoid arthritis (RA), and systemic lupus erythematosus (SLE). Furthermore, CD5+ B cells contain important subsets: IL-10-producing B-reg cells, FasL-expressing subset, and the majority of pre-naive B cells. In addition, they are major sources of natural autoantibodies, which are polyreactive and autoreactive. Thus, CD5+ B cells are clearly loaded with autoimmune clues that are yet to be unlocked and understood. We hypothesize that human CD5+ B cells are likely to yield enormously important novel information about the role of B cells in autoimmune disease if analyzed using the new technological advances in molecular biology and genomics. Use of high-throughput sequencing of B cell receptors (BCR) of CD5+ B cells could reveal public BCRs associated with autoimmune diseases, whereas transcriptional analysis of CD5+ B cells using single-cell RNA-seq may delineate distinct sublineages and their relationship to conventional B cells. If it turns out that autoimmune repertoires are concentrated in CD5+ B cells, given that CD5+ B cells are clearly identifiable by flow cytometry, therapeutic strategies can be developed to safely remove CD5+ B cells to mitigate ongoing autoimmunity and protect at-risk individuals.
Indexed as
Identifiers
30399325PMC7879960W2899950362What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.