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Purnama, U.

Publications and source records attributed to Purnama, U..

2 recordsLinked to original sources

Multiomics-based assessment of 2D and 3D human iPSC-cardiomyocyte models of insulin resistance demonstrate metabolic and contractile dysfunction that recapitulates diabetic cardiomyopathy.

In type II diabetes (T2DM), the heart is exposed to hyperglycaemia, hyperlipidaemia, and hyperinsulinaemia, leading to insulin resistance and metabolic dysfunction, culminating in diabetic cardiomyopathy (DbCM). Human-centric models of DbCM are needed to provide mechanistic insights and therapeutic targets in a translationally relevant setting. We hypothesised that culturing human-induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) in an "insulin resistance" (IR) media, and assessing this using a systems biology approach, would offer a comprehensive evaluation of dysregulated pathways, establishing their suitability as a model of DbCM. Culturing hiPSC-CMs in 2D or 3D as engineered heart tissue (EHT) in IR media induced insulin resistance and activated numerous pathways implicated in DbCM, including metabolic remodelling, mitochondrial dysfunction, extracellular matrix remodelling, and endoplasmic reticulum stress. Pathways involved in fatty acid oxidation were upregulated, while those involved in glucose metabolism were downregulated, which was validated using radioisotope flux measurements. Adaptation to hypoxia, a key component of post-ischaemic remodelling, was blunted in the 2D IR hiPSC-CMs. Combining proteomic and transcriptomic analyses in the IR 3D EHT revealed significant enrichment of DbCM pathways, with subnetworks enriched for several metabolic and diabetes-related pathways. Additionally, IR 3D EHT displayed impaired relaxation, mimicking the diastolic dysfunction observed in T2DM patients. In conclusion, culturing hiPSC-CM in 2D or 3D in an IR media activates multiple mechanisms implicated in the development of DbCM, with IR 3D EHT also recapitulating the diastolic dysfunction present in patients with T2DM.

molecular biology↗

Zika virus-induces metabolic alterations in fetal neuronal progenitors that could influence in neurodevelopment during early pregnancy

Neuronal progenitor subtypes have distinct fate restrictions regulated by time-dependent activation of energetic pathways. Thus, the hijacking of cellular metabolism by Zika virus (ZIKV) to support its replication may contribute to damage in the developing fetal brain. Here, we showed that ZIKV replicates differently in two glycolytically distinct hiPSC-derived neuronal progenitors that correspond to early and late progenitors in the forebrain. This differential replication alters the transcription of metabolic genes and upregulates the glycolytic capacity of progenitor subtypes. Analysis using Imagestream(R) revealed that, during early stages of infection, ZIKV replication in early progenitors increases lipid droplet abundance and decreases mitochondrial size and membrane potential. During later stages infection, early progenitors show increased subcellular distribution of lipid droplets, whilst late progenitors show decreased mitochondria size. The finding that there are hi-NPC subtype-specific alterations of cellular metabolism during ZIKV infection may help to explain the differences in brain damage over each trimester.

neuroscience↗