Aug 2026· Journal of Developmental Biology· Vol 14· 0 citations· 561 references
Medicine
TL;DR
Underused Drosophila melanogaster offers high genomic and pathway conservation, a wealth of genetic tools, and rapid generation times, making it a reliable and sustainable model for mechanistic, genome-wide, and precision medicine studies.
Abstract
Both genetics and the environment affect the phenotypes of polycystic kidney diseases (PKD), such as autosomal dominant (AD) PKD, autosomal recessive (AR) PKD and nephronophthisis (NPH). Variable phenotypes, pleiotropy, divergent severity and progression, even in family members who inherited the same disease-causing mutation(s), signal the involvement of networked genes and modifiers. Several PKD-linked genes function in development and renal tubule morphogenesis. Cystic renal tissues feature metabolic remodeling, functional reprogramming and dysregulation of several shared factors and pathways. ADPKD, ARPKD and NPH partially phenocopy each other. Understanding the developmental arc of cystic kidney disease and its complex phenotypes would improve diagnostics and help develop effective personalized treatments. However, this is challenging to study in vertebrate systems due to genetic redundancy, functional overlap, and a dearth of genetic tools. Underused in this context, Drosophila melanogaster offers high genomic and pathway conservation, a wealth of genetic tools, and rapid generation times, making it a reliable and sustainable model for mechanistic, genome-wide, and precision medicine studies. Here, we surveyed ADPKD, ARPKD, and NPH, compared renal and extrarenal phenotypes, and examined the network of shared and unique contributors, their healthy and diseased functions and conservation from the perspective of mechanistic whole-animal modeling.
The ease of use of MPS increasingly tempts non-specialized genetic laboratories to perform broad analyses of numerous diseases, which in specific cases may worsen the quality of investigations, i.e. for the relatively frequent ADPKD.
A. Ekici, K. Knaup, C. Schaeffer et al.· American Journal of Kidney D...· 0 citations
An integrated single-cell RNA sequencing atlas across mouse models of PKD is constructed, mapping changes in cell type composition, gene expression, and intercellular signaling networks across the whole atlas and within individual models.
S. Miller, Hua Zhong, Weidong Wu et al.· JCI Insight· 0 citations
Future directions in ADPKD prognostication point toward multimodal frameworks that integrate AI-derived imaging features, genomic risk measures, clinical risk factors, and molecular biomarkers, which could help translate complex disease information into more consistent, clinically actionable guidance for treatment deci...
Jeniffer Min, Claire Zhu, Liv Palma et al.· Kidney360· 0 citations
A model in which cyst growth arises from mutually reinforcing signaling, metabolic, and transcriptional programs is synthesized, which support a model in which cyst growth arises from mutually reinforcing signaling, metabolic, and transcriptional programs.
R. Ursu, B. Buchholz, K. Skoczynski· American Journal of Physiolo...· 0 citations
It is shown that increased ovarian area contributes to both PMOS susceptibility and ovarian cancer progression, while specific ovary-heart signaling circuits modulate cardiac function with aging, and SF3B1-mediated splicing is uncovered as a link between ovary function and systemic metabolism.
Christy M. Nguyen, L. Velez, Youngseo Cheon et al.· Journal of Clinical Investig...· 0 citations
The NephVar renal registry is established, which aims to be a molecular dictionary for nephrologists to classify variants and resolve their unique molecular effects, and it is demonstrated that variant effect prediction is effective for downgrading variants of unknown significance and classifying AR genes, but challeng...
Joshua Pillai, J. Sayer· medRxiv· 0 citations
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