PubMed · 2263254

Intravenous immunoglobulin.

Abstract

The National Institutes of Health Consensus Development Conference on Intravenous Immunoglobulin: Prevention and Treatment of Disease brought together biomedical scientists in immunology, infectious disease, and pediatrics, as well as health care providers, patients and their families, and the public to address the safe and effective uses of intravenous immunoglobulin (IVIG) preparations. Following 1 1/2 days of presentations by experts and discussion by the audience, a consensus panel weighed the evidence and prepared a consensus statement. Among their findings, the panel concluded that all currently available IVIG preparations are safe and effective in treating the conditions for which they have been licensed; however, their efficacy in treating other conditions remains to be established. Effective regimens have been developed for primary immunodeficiencies and secondary immunodeficiencies, idiopathic thrombocytopenic purpura, and Kawasaki syndrome. However, optimal dosages and treatment schedules still need to be established for patients who may benefit from IVIG therapy. The panel also concluded that the risks of IVIG therapy are minimal, and adverse events, which are rare, can often be alleviated by reducing the rate or volume of infusion. Future research is also important, particularly studies to discern the mechanisms of action of IVIG, to compare the effectiveness of IVIG preparations, and to determine their long-term effectiveness and their effect on quality of life for patients receiving IVIG. The full text of the consensus panel's statement follows.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeX RIS

Intravenous immunoglobulin.. https://pubmed.ncbi.nlm.nih.gov/2263254/

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related citations

PubMed2027

Global Genomic Surveillance.

Global genomic surveillance has emerged as a foundational pillar of public health in the twenty-first century, enabling real-time tracking of pathogen evolution and informing outbreak response. This chapter examines the strategic architecture of global genomic surveillance, focusing on its application to arboviruses such as chikungunya virus (CHIKV). It explores the integration of genomic data with epidemiological, clinical, and environmental information within a One Health framework, while addressing critical challenges in governance, equity, and interoperability. The discussion covers the entire genomic surveillance workflow, from sample collection and sequencing to bioinformatic analysis and phylogenetic inference, and highlights the transformative role of artificial intelligence (AI) in predictive surveillance. By analyzing global initiatives, operational barriers, and emerging technologies, this chapter underscores the necessity of sustainable, equitable, and interoperable genomic systems to proactively address current and future infectious disease threats.

Humans↗

PubMed2027

Systematic Dissection of Key Driver Perturbation Signatures in Single Cells via ECCITE-seq.

CRISPR screens, such as expanded CRISPR-compatible cellular indexing of transcriptomes and epitopes by sequencing (ECCITE-seq), enable the simultaneous measurement of transcriptomes, gRNA identity, and cell-surface protein expression at single-cell resolution to systematically interrogate gene function. This platform provides a powerful and scalable experimental approach for validating disease-associated regulators identified by large-scale association studies and other computational methods, including network-based analyses of multi-omics data. Here, as an example application, we describe an ECCITE-seq framework to characterize the transcriptomic consequences of perturbing multiple neuronal key driver genes associated with Alzheimer's disease (AD) in human-induced pluripotent stem cell (hiPSC)-derived neurons. More broadly, by integrating customized pooled gRNA libraries with different CRISPR effectors across multiple cell types, this approach allows for the assessment of the regulatory impact of candidate genes implicated in development and disease processes.

Humans↗

PubMed2027

Identification of Genome-Wide Chromatin Structural Aberration in Cancer by Hi-C Analysis.

Aberrant three-dimensional genome organization is a hallmark of cancer, often driving oncogene activation through mechanisms such as enhancer hijacking. High-throughput chromosome conformation capture (Hi-C) maps these interactions on a genome-wide scale. Unlike earlier dilution-based methods, in situ Hi-C performs proximity ligation within intact nuclei, minimizing random ligation noise and enabling fine-scale structure detection. This chapter describes an optimized in situ Hi-C protocol tailored for cancer cell lines using MboI digestion and biotin-mediated pull-down to generate high-complexity libraries. We further outline a computational workflow that extends beyond standard topological mapping of compartments and topologically associating domains to identify cancer-specific aberrations. Specifically, we focus on detecting chromosomal rearrangements (structural variants) and characterizing the distinct circular topology of extrachromosomal DNA. This integrated experimental and analytical framework provides the necessary tools to dissect the spatial dysregulation underlying tumor evolution.

Humans↗