Hypophosphatemia Cell Models for Research

Disease Burden and Research Significance

Epidemiology and Clinical Impact

Hypophosphatemia is a condition characterized by abnormally low levels of phosphate in the blood, typically defined as serum phosphate < 2.5 mg/dL. It can be acute or chronic, with causes ranging from nutritional deficiencies to genetic disorders. The global prevalence is not well-defined, but it is common in hospitalized patients, affecting up to 5% of all inpatients and up to 80% of septic patients. Chronic hypophosphatemia can lead to rickets in children and osteomalacia in adults, causing bone pain, fractures, and muscle weakness. The clinical impact is significant, with increased morbidity and mortality in severe cases. The National Cancer Institute (NCI) does not track hypophosphatemia as a cancer, but it is a common complication in cancer patients, particularly those with bone metastases or receiving certain chemotherapies. The WHO recognizes hypophosphatemia as a significant metabolic disorder, but specific incidence data are limited.

Value as a Research Model

Hypophosphatemia is an ideal model for studying phosphate homeostasis, bone metabolism, and kidney function. It involves well-defined genetic causes, such as mutations in FGF23, PHEX, DMP1, and SLC34A1, which are amenable to gene editing. Public datasets, such as those from the Genotype-Tissue Expression (GTEx) project and the Human Gene Mutation Database (HGMD), provide expression and mutation data. Open questions include the molecular mechanisms of FGF23 regulation and the interplay between phosphate and vitamin D metabolism. Gene-edited cell models allow researchers to dissect these pathways in vitro, providing a controlled system to study disease mechanisms and test therapeutic interventions.

Core Molecular Pathogenesis

Major Carcinogenic Pathways

While hypophosphatemia is not a cancer, it is associated with tumor-induced osteomalacia (TIO), where tumors secrete FGF23. The major pathways involved in phosphate regulation include:

1. FGF23 signaling: FGF23 is a hormone that promotes phosphate excretion by the kidneys. It binds to FGFR1 and Klotho co-receptor, activating the MAPK/ERK pathway, which downregulates sodium-phosphate cotransporters (NaPi-IIa) in the proximal tubule.

2. PHEX regulation: PHEX is a metalloprotease that normally inactivates FGF23. Mutations in PHEX lead to increased FGF23 levels, causing X-linked hypophosphatemia (XLH).

3. DMP1 and SOST: These proteins are involved in bone mineralization and also regulate FGF23 expression. Mutations in DMP1 cause autosomal recessive hypophosphatemic rickets.

4. Vitamin D metabolism: Phosphate and vitamin D are interconnected. Low phosphate stimulates 1-alpha-hydroxylase, increasing active vitamin D, which in turn increases intestinal phosphate absorption.

High-Frequency Genetic Alterations

The following table summarizes high-frequency genetic alterations in hypophosphatemia, based on data from ClinVar and COSMIC (for tumor-induced cases):

GeneFrequency (%)Mutation TypeFunctional Effect
FGF2310-20% (in TIO)Overexpression, translocationsIncreased FGF23, leading to phosphate wasting
PHEX70-80% of XLH casesLoss-of-function mutationsInactivation of PHEX, leading to elevated FGF23
DMP1RareLoss-of-function mutationsIncreased FGF23, causing autosomal recessive hypophosphatemia
SLC34A1RareLoss-of-function mutationsImpaired phosphate transport in kidney
SLC34A3RareLoss-of-function mutationsImpaired phosphate transport in kidney

Data from TCGA and COSMIC for tumor-induced osteomalacia show FGF23 overexpression in certain mesenchymal tumors.

Deregulated Signaling Networks

The key signaling networks deregulated in hypophosphatemia include:

  • • FGF23/FGFR/Klotho axis: This pathway is central to phosphate homeostasis. Overexpression of FGF23 or mutations in Klotho can lead to hypophosphatemia.
  • • MAPK/ERK pathway: Activated by FGF23 binding, leading to downregulation of NaPi-IIa.
  • • Wnt/beta-catenin pathway: Involved in bone mineralization and FGF23 regulation. Mutations in Wnt1 or LRP5 can affect phosphate metabolism.
  • • Vitamin D receptor (VDR) signaling: Altered vitamin D metabolism can impact phosphate absorption.

Key nodes include FGF23, PHEX, DMP1, SLC34A1, and Klotho.

Experimental Model Systems

Cell Lines and Organoids

Common cell lines used in hypophosphatemia research include:

Cell LineOriginKey Mutations
HEK293Human embryonic kidneyNone (used for overexpression studies)
HK-2Human kidney proximal tubuleNone (used for phosphate transport studies)
UMR106Rat osteosarcomaNone (used for bone studies)
MC3T3-E1Mouse osteoblastNone (used for mineralization studies)

Organoids derived from kidney or bone can also be used to study phosphate handling in a more physiologically relevant context.

Animal Models (PDX, GEMM, Induced)

Animal models for hypophosphatemia include:

  • • Hyp mouse: A mouse model of XLH with a large deletion in the PHEX gene.
  • • FGF23 knockout mice: Exhibit hyperphosphatemia, but can be used to study phosphate regulation.
  • • DMP1 knockout mice: Model for autosomal recessive hypophosphatemic rickets.
  • • Tumor-induced osteomalacia models: Xenograft of tumors secreting FGF23 into immunodeficient mice.

These models are valuable for studying disease mechanisms and testing therapies.

Gene-Edited Cell Models

CRISPR-based gene editing allows the creation of isogenic cell lines with specific mutations in genes like FGF23, PHEX, DMP1, or SLC34A1. For example:

  • • A FGF23 knockout cell line can be used to study the effects of FGF23 loss on phosphate transport.
  • • A PHEX knockout cell line can model XLH and be used to test drugs that inhibit FGF23.
  • • A DMP1 knockout cell line can be used to study the role of DMP1 in FGF23 regulation.
  • • A SLC34A1 knock-in cell line with a known pathogenic mutation can be used to study phosphate transport defects.

These gene-edited models are commercially available from various sources and are sequence-verified, ensuring reproducibility. They accelerate research by providing a controlled system to study disease mechanisms and screen potential therapeutics.

Related Disease

Disease name Disease type

Related Products

Product name Cat.No. Species Gene ID
SOST Knockout HEK293 Cell Line EDJ-KQ334 Human 50964 Details Get a Quote
HRAS Knockout HEK293 Cell Line EDJ-KQ467 Human 3265 Details Get a Quote
NRAS Knockout HEK293 Cell Line EDJ-KQ641 Human 4893 Details Get a Quote
FGF23 Knockout HEK293 Cell Line EDJ-KQ662 Human 8074 Details Get a Quote
GNAS Knockout HEK293 Cell Line EDJ-KQ725 Human 2778 Details Get a Quote
LCN2 Knockout HEK293 Cell Line EDJ-KQ1058 Human 3934 Details Get a Quote
FGF7 Knockout HEK293 Cell Line EDJ-KQ1195 Human 2252 Details Get a Quote
CRP Knockout HEK293 Cell Line EDJ-KQ1281 Human 1401 Details Get a Quote
KL Knockout HEK293 Cell Line EDJ-KQ1899 Human 9365 Details Get a Quote
ANKH Knockout HEK293 Cell Line EDJ-KQ2077 Human 56172 Details Get a Quote
ALB Knockout HEK293 Cell Line EDJ-KQ2910 Human 213 Details Get a Quote
PHEX Knockout HEK293 Cell Line EDJ-KQ2951 Human 5251 Details Get a Quote
PTH Knockout HEK293 Cell Line EDJ-KQ3175 Human 5741 Details Get a Quote
PTHLH Knockout HEK293 Cell Line EDJ-KQ3273 Human 5744 Details Get a Quote
SLC9A3 Knockout HEK293 Cell Line EDJ-KQ3333 Human 6550 Details Get a Quote
Displaying Records 1 To 15 Of 154 Records

Applications of Gene-Edited Cells

Functional Genomics

Knockout and knock-in cell lines are essential for validating the function of genes involved in hypophosphatemia. For example:

  • • Knockout of FGF23 in a kidney cell line can confirm its role in regulating phosphate transporters.
  • • Knock-in of a PHEX mutation can be used to study the impact on FGF23 processing.
  • • Knockout of SLC34A1 can help elucidate the mechanisms of phosphate transport.

These models allow researchers to perform gain- and loss-of-function studies in a controlled environment.

Drug Screening and Resistance

Isogenic cell line pairs (e.g., wild-type vs. PHEX knockout) can be used for high-throughput screening of compounds that modulate FGF23 expression or activity. These models are also useful for studying resistance to therapies, such as anti-FGF23 antibodies, by generating resistant cell lines through chronic exposure.

Biomarker Discovery

CRISPR-based synthetic lethality screens can identify genes that are essential in the context of specific mutations. For example, in cells with PHEX mutations, screening for genes that, when knocked out, cause cell death could reveal novel therapeutic targets. Additionally, gene-edited cells can be used to identify biomarkers of disease progression or drug response.

Public Data Resources

The following databases provide valuable data for hypophosphatemia research:

DatabaseURLDescription
TCGAhttps://www.cancer.gov/tcgaCancer genomics data, including tumors causing TIO
cBioPortalhttps://www.cbioportal.orgVisualization and analysis of cancer genomics data
DepMaphttps://depmap.orgCRISPR screens and gene dependency data
GEOhttps://www.ncbi.nlm.nih.gov/geo/Gene expression data from various studies
ClinVarhttps://www.ncbi.nlm.nih.gov/clinvar/Clinical variants associated with hypophosphatemia
UniProthttps://www.uniprot.orgProtein sequence and functional information

Frequently Asked Research Questions

HEK293 cells are commonly used for overexpression studies, while HK-2 cells are more relevant for kidney phosphate transport. For bone-specific studies, MC3T3-E1 cells are suitable.
Use CRISPR-Cas9 with guide RNAs targeting the PHEX gene. Commercially available kits and services can generate sequence-verified knockout clones.
Yes, kidney organoids derived from induced pluripotent stem cells (iPSCs) can be used to model phosphate handling and can be gene-edited to introduce disease mutations.
Tumors secrete FGF23, leading to renal phosphate wasting and hypophosphatemia. Gene-edited cell lines can be used to study the molecular mechanisms of FGF23 secretion.
Yes, isogenic cell line pairs are ideal for high-throughput screening to identify compounds that modulate phosphate transporters or FGF23 signaling.

Key References and Database URLs

WHO https://www.who.int
NCI https://www.cancer.gov
NCBI Gene https://www.ncbi.nlm.nih.gov/gene
TCGA https://www.cancer.gov/tcga
COSMIC https://cancer.sanger.ac.uk/cosmic
ClinVar https://www.ncbi.nlm.nih.gov/clinvar/
UniProt https://www.uniprot.org
DepMap https://depmap.org
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