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Proteomics Uncovers Cryptic JPH2 Loss in Paediatric Dilated Cardiomyopathy

Smith-Diaz, C. C.; Iaprintsev, V.; Huckstep, H.; Macciocca, I.; Piers, A. T.; Henden, N.; Bryen, S.; Stewart, N.; Butters, A.; Baker, A.; Catto, L.; Kemp, L.; King, I.; Le, L. H. H.; Elliott, D. A.; Watt, K. I.; Mathew, J.; Justo, R.; Richardson, E.; Simons, C.; Landstrom, A. P.; Theodoris, C. V.; Deveson, I. W.; MacArthur, D. G.; Konstantinov, I.; Weintraub, R.; Porrello, E. R.; Humphrey, S. J.; Ingles, J.

2026-06-17 genetic and genomic medicine
10.64898/2026.06.16.26355718 medRxiv
Show abstract

Despite recent advances in next-generation sequencing, genetic diagnostic rates for dilated cardiomyopathy (DCM) remain low. Among paediatric DCM, causes are often heritable, with a greater frequency of de novo, recessive and syndromic causes of disease. Novel diagnostic methods are therefore required to solve monogenic cases. To assess the value of proteomics as a diagnostic tool for paediatric DCM, we obtained left ventricle myocardial samples from paediatric patients undergoing heart transplantation at the Royal Children's Hospital, Melbourne. We performed genome sequencing and proteomics and leveraged this multi-omics dataset to uncover the molecular cause of disease in a gene elusive proband. The proband carried a heterozygous JPH2 frameshift variant identified on clinical exome sequencing. However, proteomic analysis showed a pronounced downregulation of JPH2, suggestive of biallelic loss-of-function. Closer inspection of the genomic data revealed a large inversion (~8.34 Mb) with a breakpoint falling within intron 5 of JPH2 that displaces the 3'UTR from the coding transcript. The two variants were confirmed to be in trans using long read DNA sequencing, consistent with a diagnosis of JPH2 autosomal recessive DCM. Finally, we applied RNA sequencing with total RNA library preparation to show that transcripts containing a 3'UTR were reduced to ~10% relative to controls. As a proof-of-principle, we present the first reported use of proteomics from explanted cardiac tissue to provide a genetic diagnosis. Our methodology has broad relevance to patients with genetically unsolved Mendelian diseases, who might undergo organ transplantation as part of clinical management.

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