PubMed HealthSearch

PubMed · 42379468

Hemophagocytic Lymphohistiocytosis and Fibroblast Growth Factor 23 (FGF23)-Induced Hypophosphatemia.

Abstract

Hypophosphatemia is a frequent complication of chimeric antigen receptor T-cell therapy. In this setting, hypophosphatemia has been previously associated with cytokine release syndrome. The mechanisms underlying this electrolyte derangement are not fully understood. Extracellular phosphate consumption by chimeric antigen receptor T cells was demonstrated in vitro, but inflammation is also thought to play a contributing role. We present a case of severe, refractory hypophosphatemia with renal phosphate wasting triggered by hemophagocytic lymphohistiocytosis in acute lymphoblastic leukemia. The diagnosis of phosphate wasting was made at the onset of leukemia and a clinical exacerbation occurred after chimeric antigen receptor T-cell therapy. Diagnostic workup revealed very high fibroblast growth factor 23 (FGF23) levels in the absence of recognized acquired or genetic causes of impaired FGF23 cleavage. This case suggests that inflammation associated with hemophagocytic lymphohistiocytosis may induce FGF23 as a potential mechanism for hypophosphatemia. In this context, we recommend evaluation of renal phosphate wasting and subsequently FGF23 in patients with persistent hypophosphatemia despite standard supplementation.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Martina Cacciapuoti, Jehan Z Bahrainwala, Wen-Kai Weng, Stuart A Scott, Vivek Bhalla, Graham Abra. 2026-06-30. Hemophagocytic Lymphohistiocytosis and Fibroblast Growth Factor 23 (FGF23)-Induced Hypophosphatemia.. https://doi.org/10.1053/j.ajkd.2026.04.013

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

KEEP EXPLORING

Related citations

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

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

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