ReviewCurrent issues in molecular biology2024
Desialylation and Apoptosis in Immune Thrombocytopenia: Implications for Pathogenesis and Treatment.
Review in Current issues in molecular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Platelet desialylation, apoptosis, and T-lymphocyte-mediated immune dysregulation: unveiling the pathways of platelet clearance in platelet transfusion refractoriness.Research and practice in thrombosis and haemostasis · 2026Article
- Integrating "Yang transforming Qi and Yin constituting the body" with immune regulation: an evidence synthesis of multidimensional traditional chinese medicine therapy for immune thrombocytopenia.Chinese medicine · 2026Review
- Multisystem hemorrhage in a very preterm infant born to a mother with immune thrombocytopenia: a case report and literature review.Frontiers in pediatrics · 2026Article
- Decoding sialidase: physiological roles, pathological pathways, and clinical opportunities.Frontiers in cellular and infection microbiology · 2026Review
- Lipopolysaccharide Potentiates Platelet Aggregation in Association with Apoptosis Through a Novel TLR4-Bax/Bcl-2-Mitochondrial Dysfunction Axis in Humans.Biomolecules · 2025Article
- Platelet Recovery and Coexisting Conditions in Pediatric Immune Thrombocytopenia: Insights from a Tertiary Care Study.Children (Basel, Switzerland) · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immune thrombocytopenia (ITP) is an autoimmune disease in which platelet autoantibodies play a significant role in its pathogenesis. Regulatory T cell dysfunction and T cell-mediated cytotoxicity also contribute to thrombocytopenia. Current therapies are directed towards immune suppression and modulation as well as stimulation of platelet production with thrombopoietin receptor agonists. Additional mechanisms of the pathogenesis of ITP have been suggested by recent experimental data. One of these processes, known as desialylation, involves antibody-induced removal of terminal sialic acid residues on platelet surface glycoproteins, leading to hepatic platelet uptake and thrombocytopenia. Apoptosis, or programmed platelet death, may also contribute to the pathogenesis of ITP. The extent of the impact of desialylation and apoptosis on ITP, the relative proportion of patients affected, and the role of antibody specificity are still the subject of investigation. This review will discuss both historical and new evidence of the influence of desialylation and apoptosis in the pathogenesis of ITP, with an emphasis on the clinical implications of these developments. Further understanding of both platelet desialylation and apoptosis might change current clinical practice and improve patient outcomes.
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.