ArticleMolecular medicine reports2016
Analysis of the complementarity determining regions β-chain genomic rearrangement using high-throughput sequencing in periphery cytotoxic T lymphocytes of patients with chronic hepatitis B.
Article in Molecular medicine reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 9 citations in OpenAlex.
- Gut Microbiome Contributes to Liver Fibrosis Impact on T Cell Receptor Immune Repertoire.Frontiers in microbiology · 2020Article
- The T Cell Receptor Immune Repertoire Protects the Liver From Reconsitution.Frontiers in immunology · 2020Article
- Observational
- Dynamic Perturbations of CD4 and CD8 T Cell Receptor Repertoires in Chronic Hepatitis B Patients upon Oral Antiviral Therapy.Frontiers in immunology · 2017Article
- High-Throughput Analysis of the T Cell Receptor Beta Chain Repertoire in PBMCs from Chronic Hepatitis B Patients with HBeAg Seroconversion.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cytotoxic T lymphocytes (CTLs) are important for the recognition of the hepatitis B virus (HBV), mediating immunoprotective mechanisms and determining the clinical outcome following HBV infection. CTLs recognize the invading virus via the T cell receptor (TCR). The aim of the current study was to investigate the variability of TCR in lymphocytes from patients with chronic hepatitis B and whether TCR genomic recombination is regulated by the current treatment strategies. Peripheral blood mononuclear cells (PBMCs) were isolated from patients with chronic hepatitis B and high‑throughput sequencing was performed to analyze the gene expression diversity of β chain complementarity determining region. High‑throughput sequencing produced ~380,000 reads. The sequences of V and J family mRNAs of the β chain V area were analyzed and databases were created for all 30 V family and J family genes. Using the Basic Local Alignment Search Tool, 15 genes were identified to be upregulated in the samples following treatment. Among them, the expression of T cell receptor β variable 28 (TRBV28)_T cell receptor β joining 1‑5 (TRBJ1.5) and TRBV6_TRBJ2.10 were significantly different in the treated samples compared with samples taken prior to treatment. Genomic recombination patterns of TRBV and TRBJ of the β chain V area were observed to be different in the samples following treatment. The data of the current study demonstrated that the genomic rearrangement of the V and J segments of TCR β chain V area may be associated with the chronic progression of HBV and impact on treatment efficacy.
Indexed as
Identifiers
What 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.