ReviewJournal of clinical immunology2010
Cell death modulation by intravenous immunoglobulin.
Review in Journal of clinical immunology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 34 citations in OpenAlex.
- Antibody diversity in IVIG: Therapeutic opportunities for novel immunotherapeutic drugs.Frontiers in immunology · 2023Review
- FcγR engagement reprograms neutrophils into antigen cross-presenting cells that elicit acquired anti-tumor immunity.Nature communications · 2021Article
- Enhanced Pro-apoptotic Effects of Fe(II)-Modified IVIG on Human Neutrophils.Frontiers in immunology · 2020Article
- IVIG regulates the survival of human but not mouse neutrophils.Scientific reports · 2017Article
- Modulatory Effects of Antibody Replacement Therapy to Innate and Adaptive Immune Cells.Frontiers in immunology · 2017Article
- Cancer intelligence acquired (CIA): tumor glycosylation and sialylation codes dismantling antitumor defense.Cellular and molecular life sciences : CMLS · 2015Review
- Protein-glycan interactions as targets of intravenous/subcutaneous immunoglobulin (IVIg/SCIg) preparations.Clinical and experimental immunology · 2014Article
- Interactions between Siglec-7/9 receptors and ligands influence NK cell-dependent tumor immunosurveillance.The Journal of clinical investigation · 2014Article
- Bench-to-bedside review: Immunoglobulin therapy for sepsis - biological plausibility from a critical care perspective.Critical care (London, England) · 2012Review
- Multifarious roles of sialic acids in immunity.Annals of the New York Academy of Sciences · 2012Review
- Article
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 at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The induction of cell death in immune cells by naturally occurring antibodies specific for death receptors may present an important antiinflammatory mechanism of intravenous immunoglobulin (IVIG). Conversely, the protection of tissue cells from death receptor-mediated apoptosis by blocking antibodies is thought to contribute to the beneficial effects of IVIG in certain inflammatory disorders such as toxic epidermal necrolysis, also known as Lyell's syndrome. In this review, we focus on recent insights into the role of functional antibodies against Fas, sialic acid-binding immunoglobulin-like lectin (Siglec)-8, and Siglec-9 receptors in IVIG-mediated cell survival or death effects. In addition, we examine a variety of factors in inflammatory disease that may interplay with these cellular events and influence the therapeutic efficacy or potency of IVIG. These involve activation status of the target cell, cytokine microenvironment, pathogenesis and stage of disease, individual genetic determinants, species characteristics, and batch-to-batch variations of IVIG preparations.
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.