Biology subjects

Chong, M.

Publications and source records attributed to Chong, M..

10 recordsLinked to original sources

bioRxiv2026

Age-related biological dysregulation quantified using metabolomics is composed of distinct subsystems with synergistic associations to health outcomes: An analysis of the Canadian Longitudinal Study on Aging

Resilience is a fundamental component of healthy aging, whereby an organism can efficiently respond to external stressors and return to a resting biological and physiological state, known as homeostasis. This capacity declines with age in a heterogenous manner and is aggravated by biological dysregulation, a detrimental state broadly associated with health risk factors and poor outcomes. However, the underlying structure of dysregulation remains unclear, particularly in the context of older adult health trajectories. Here, we take a novel systems-based approach to the quantification of dysregulation using metabolomic data from n=9,992 older adults enrolled in the Canadian Longitudinal Study on Aging. We show that dysregulation across different biological systems is heritable, and exhibit distinct associations with health risk factors, indicators and outcomes, and DNA methylation patterns. Importantly, the effect of systems-specific dysregulation is cumulative, resulting in a significantly higher risk of disease incidence and death in older adults. Our findings broaden our understanding of biological dysregulation as a health state and demonstrate the value of system-specific dysregulation for effective strategies in personalized medicine and risk stratification.

physiology↗

bioRxiv2026

The Taxonomic Status and Phylogenetic Relationships of Toxorhynchites (Diptera: Culicidae) Species from Panama

Mosquitoes in the Toxorhynchites genus (Theobald, 1901) are specialized predators of container-breeding mosquito larvae, including major Aedes disease vectors. Despite their biological control potential, species boundaries and phylogenetic relationships remain poorly understood. Utilizing country-wide sampling across Panama, we evaluated the taxonomic status and diversity of local Toxorhynchites species. We collected 147 specimens from artificial and natural containers, yielding 97 cytochrome c oxidase subunit I barcodes from 101 sequenced individuals. A Panama-only Neighbor-Joining analysis revealed four distinct, well-supported clusters (I - IV) exhibiting high mean inter-cluster genetic divergence (4.8 - 20.2%), alongside morphological and ecological segregation. A subsequent global Neighbor-Joining analysis incorporating BOLD and GenBank sequences recovered Toxorhynchites as a strongly supported monophyletic group (99.0% bootstrap support) and revealed deep phylogenetic divergence separating Old World Toxorhynchites (Toxorhynchites) (Clades A and B) from New World Toxorhynchites (Lynchiella) (Clades C - G) lineages. Panamanian Clusters I and II formed two distinct groupings within Clade G, nesting as sisters to Subclade G1 characterized by severe taxonomic discordance involving sequences labeled as Tx. moctezuma, Tx. theobaldi, and Tx. rutilus. Cluster III nested within Tx. hypoptes (1.5% divergence) in Clade E, whereas Cluster IV associated with Tx. haemorrhoidalis s.l. (>5.0% divergence) in Clade C. The high degree of taxonomic uncertainty or cryptic diversity uncovered within Clades C, D, and G underscores an urgent need for formal taxonomic revision to accurately delimit species boundaries. Due to its widespread peri-urban distribution, Cluster I (within the Tx. moctezuma s.l. complex) shows the greatest promise for mass-rearing and Aedes biocontrol applications in Panama.

evolutionary biology↗

bioRxiv2025

AAV-mediated regeneration of neurons in injury-induced and inherited retinal degeneration

Loss of retinal neurons is a leading cause of irreversible vision impairment, yet adult mammalian retinas lack the ability to regenerate these cells. In this study, we developed an adeno-associated virus (AAV)-based strategy to reprogram endogenous Muller glia into retinal neurons. Using stringent genetic lineage tracing, immunohistochemistry, electrophysiology and single-cell multiomic profiling, we show that AAV delivery of a stabilized, phospho-insensitive Neurogenin2 variant (Neurog2-9SA) efficiently converts Muller glia into multiple types of retinal neurons, including bipolar, starburst amacrine, and a small population of photoreceptor-like cells, in both injury-induced and inherited retinal degeneration models. The generated neurons exhibit electrical properties of retinal neurons, light-evoked responses and integrate into existing retinal circuitry. Single-cell multiomics analysis reveal that Neurog2-9SA induces reprogramming by remodeling chromatin accessibility, activating neurogenic transcriptional networks, and represses glial identity programs. Inhibiting Notch signaling markedly enhances reprogramming efficiency. Together, these findings establish Neurog2-9SA as a potent and clinically relevant factor for AAV-mediated reprogramming and provide a foundation for approaches to regenerate neuronal cells and restore function in retinal diseases.

neuroscience↗

bioRxiv2025

Amyloid-β precursor protein promotes tumor growth by establishing an immune-exclusive tumor microenvironment

During initiation and progression, cancerous tissue hijacks a series of elaborate tissue homeostatic mechanisms to avoid immune surveillance, including neuro-immune interactions. Here, we show that amyloid-{beta} precursor protein (APP) and its {beta}-cleavage product amyloid-{beta}1-42 (A{beta}1-42), well-known in the pathogenesis of Alzheimers disease (AD), are expressed in multiple cancer tissues. However, the oncogenic activity of APP is due to its E1 domain, instead of A{beta}1-42. Mechanistically, APP restricts immune cells influx into tumor microenvironment (TME) and impairs CD8+ T cell and NK cell-based immunity, by dampening type I interferon (IFN) response in TME. We also provide proof-of-concept that vaccination targeting APP is effective for cancer prevention. Our current study reveals a previously unrecognized role of APP in cancer immune surveillance, and provides a new strategy for cancer prevention and treatment by targeting APP.

cancer biology↗

bioRxiv2023

Predictive evolutionary modelling for influenza virus by site-based dynamics of mutations

A predictive evolutionary model was developed to forecast representative influenza viral strains and select vaccine strains for upcoming epidemic seasons. Influenza virus continuously evolves to escape human adaptive immunity and generates seasonal epidemics. A computational approach beth-1 that models site-wise mutation dynamics demonstrated remarkable matching of predicted strains to the circulating viruses in subsequent seasons for the influenza A(H1N1)pdm09 and A(H3N2) viruses in both retrospective and prospective validations. The method offers a promising and ready-to-use tool to facilitate vaccine strain selection for the influenza virus, achieved by capturing heterogeneous evolutionary dynamics over genome space-time and linking molecular variants to population immune response. One-Sentence SummaryA computational model predicts virus evolution and facilitates vaccine strain selection for the influenza virus

evolutionary biology↗

bioRxiv2023

NRF2 activation in the heart induces glucose metabolic reprogramming and mediates cardioprotection via upregulation of the pentose phosphate pathway.

RationaleThe transcription factor NRF2 is well recognized as a master regulator of antioxidant responses and cytoprotective genes. Previous studies showed that NRF2 protects mouse hearts during chronic hemodynamic overload at least in part by reducing oxidative stress. Evidence from other tissues suggests that NRF2 may modulate glucose intermediary metabolism but whether NRF2 has such effects in the heart is unclear. ObjectiveTo investigate the role of NRF2 in regulating glucose intermediary metabolism and cardiac function during disease stress. Methods and ResultsCardiomyocyte-specific Keap1 knockout (csKeap1KO) mice, deficient in the endogenous inhibitor of NRF2, were used as a novel model of constitutively active NRF2 signaling. Targeted metabolomics and isotopomer analysis were employed in studies with 13C6-glucose in csKeap1KO and wild-type (WT) mice. Pharmacological and genetic approaches were utilized in neonatal rat ventricular cardiomyocytes (NRVM) to explore molecular mechanisms. We found that cardiac-specific activation of NRF2 upregulated key enzymes of the Pentose Phosphate Pathway (PPP), redirected glucose metabolism towards the PPP and protected the heart against pressure overload-induced cardiac dysfunction. In vitro, knockdown of Keap1 upregulated PPP enzymes and reduced cell death in NRVM subjected to chronic neurohumoral stimulation. These pro-survival effects were abolished by pharmacological inhibition of the PPP or silencing of the PPP rate-limiting enzyme glucose-6-phosphate dehydrogenase (G6PD). Knockdown of NRF2 in NRVM increased stress-induced DNA damage which was rescued by supplementing the cells with either NADPH or nucleosides, the two main products of the PPP. Activation of NRF2 also protected the heart against myocardial infarction-induced DNA damage, dysfunction, and adverse remodeling. ConclusionsThese results indicate that NRF2 regulates cardiac metabolic reprogramming by stimulating the diversion of glucose into the PPP, thereby providing cardiac protection during stress by generating NADPH and providing nucleotides to prevent stress-induced DNA damage.

physiology↗

bioRxiv2023

Non-canonical RNA substrates of Drosha lack many of the conserved features found in primary microRNA stem-loops

The RNase III enzyme Drosha has a central role in microRNA (miRNA) biogenesis, where it is required to release the stem-loop intermediate from primary (pri)-miRNA transcripts. However, it can also cleave stem-loops embedded within messenger (m)RNAs. This destabilizes the mRNA causing target gene repression and appears to occur primarily in stem cells. While pri-miRNA stem-loops have been extensively studied, such non-canonical substrates of Drosha have yet to characterized in detail. In this study, we employed high-throughput sequencing to capture all polyA-tailed RNAs that are cleaved by Drosha in mouse embryonic stem cells (ESCs) and compared the features of non-canonical versus miRNA stem-loop substrates. First, mRNA substrates are less efficiently processed than miRNA stem-loops. Sequence and structural analyses revealed that these mRNA substrates are also less stable and more likely to fold into alternative structures than miRNA stem-loops. Moreover, they lack the sequence and structural motifs found in miRNAs stem-loops that are required for precise cleavage. Notably, we discovered a non-canonical Drosha substrate that is cleaved in an inverse manner, which is a process that is normally inhibited by features in miRNA stem-loops. Our study thus provides valuable insights into the recognition of non-canonical targets by Drosha.

molecular biology↗

bioRxiv2020

A roadmap for the characterization of energy metabolism in human cardiomyocytes derived from induced pluripotent stem cells

Human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CM) are an increasingly employed model in cardiac research and drug discovery. A significant limitation with respect to clinical translation is their immature structural and functional phenotype. Cellular metabolism plays an integral role in determining phenotype but the metabolic profile of hiPSC-CM during maturation is poorly characterized. In this study we employ a combination of methods including extracellular flux and 13C-glucose flux analyses to study the metabolic profile of hiPSC-CM over a 12 week maturation period. Results show a progressive remodeling of pathways involved in energy metabolism and substrate utilization. The oxidative capacity of hiPSC-CM and particularly their ability to utilize fatty acids increased with time. In parallel, relative glucose oxidation was reduced while glutamine oxidation was maintained at similar levels. Anaerobic glycolysis as assessed by lactate production was maintained throughout the 12 week period but with significant alterations in proximal glycolytic enzymes such as hexokinase and phosphofructokinase. We also observed a progressive maturation of mitochondrial oxidative capacity at comparable levels of mitochondrial content between timepoints. The time-dependent restructuring of the hiPSC-CM metabolic profile indicates their potential to overcome the lack of full maturation previously reported and enhance their applicability for pharmacological studies and cardiac disease modeling.

cell biology↗

bioRxiv2020

A Hybrid High-Resolution Anatomical MRI Atlas with Sub-parcellation of Cortical Gyri using Resting fMRI

We present a new high-quality, single-subject atlas with sub-millimeter voxel resolution, high SNR, and excellent grey-white tissue contrast to resolve fine anatomical details. The atlas is labeled into two parcellation schemes: 1) the anatomical BCI-DNI atlas, which is manually labeled based on known morphological and anatomical features, and 2) the hybrid USCBrain atlas, which incorporates functional information to guide the sub-parcellation of cerebral cortex. In both cases, we provide consistent volumetric and cortical surface-based parcellation and labeling. The intended use of the atlas is as a reference template for structural coregistration and labeling of individual brains. A single-subject T1-weighted image was acquired at a resolution of 0.547mm x 0.547mm x 0.800mm five times and averaged. Images were processed by an expert neuroanatomist using semi-automated methods in BrainSuite to extract the brain, classify tissue-types, and render anatomical surfaces. Sixty-six cortical and 29 noncortical regions were manually labeled to generate the BCI-DNI atlas. The cortical regions were further sub-parcellated into 130 cortical regions based on multi-subject connectivity analysis using resting fMRI (rfMRI) data from the Human Connectome Project (HCP) database to produce the USCBrain atlas. In addition, we provide a delineation between sulcal valleys and gyral crowns, which offer an additional set of 26 sulcal subregions per hemisphere. Lastly, a probabilistic map is provided to give users a quantitative measure of reliability for each gyral subdivision. Utility of the atlas was assessed by computing adjusted Rand indices between individual sub-parcellations obtained through structural-only coregistration to the USCBrain atlas and sub-parcellations obtained directly from each subjects resting fMRI data. Both atlas parcellations can be used with the BrainSuite, FreeSurfer, and FSL software packages.

bioinformatics↗

bioRxiv2020

Calibrated rare variant genetic risk scores for complex disease prediction using large exome sequence repositories

Rare variants are collectively numerous and may underlie a considerable proportion of complex disease risk. However, identifying genuine rare variant associations is challenging due to small effect sizes, presence of technical artefacts, and heterogeneity in population structure. We hypothesized that rare variant burden over a large number of genes can be combined into predictive rare variant genetic risk score (RVGRS). We propose a novel method (RV-EXCALIBER) that leverages summary-level data from a large public exome sequencing database (gnomAD) as controls and robustly calibrates rare variant burden to account for the aforementioned biases. A RVGRS was found to strongly associate with coronary artery disease (CAD) in European and South Asian populations. Calibrated RVGRS capture the aggregate effect of rare variants through a polygenic model of inheritance, identifies 1.5% of the population with substantial risk of early CAD, and confers risk even when adjusting for known Mendelian CAD genes, clinical risk factors, and common variant gene scores.

genetics↗