Biology subjects

Young, M. J.

Publications and source records attributed to Young, M. J..

5 recordsLinked to original sources

bioRxiv2026

CypA is a molecular barrier to HIV emergence from Eastern chimpanzees

Of the two lineages of lentivirus that endemically infect chimpanzees, only one has served as a source of infections in hu-mans. Using HIV-CRISPR screening, we identify factors that limit the replication of lentivirus from Eastern chimpanzees. We find that CypA restricts nonzoonotic Eastern chimpanzee lentivirus due to a unique feature encoded in capsid. The ability of CypA to restrict lentivirus replication is surprising given that CypA is a host factor exploited by HIV to promote its replica-tion. The selective ability of CypA to restrict this virus provides a molecular explanation as to why lentivirus from Eastern Chimpanzees has never been observed to infect humans. Our work has important implications for understanding the origins of HIV-1 and the potential for novel zoonosis of primate lentiviruses.

microbiology↗

bioRxiv2026

Nitric oxide synthase inhibition and biological sex define different cardiac responses to cardiometabolic stress in older mice.

Background: Heart failure with preserved ejection fraction (HFpEF) is a heterogeneous syndrome associated with ageing, obesity and impaired nitric oxide signalling. Preclinical models often do not capture the sex-specific and cardiometabolic features observed in patients. We hypothesised that biological sex and the degree of nitric oxide synthase (NOS) inhibition would influence development of HFpEF-like versus HFrEF-like phenotypes. Methods and Results: Male and female C57BL/6J mice (>24 weeks) were exposed to a high-fat diet (HFD) combined with low-dose (0.3 g/L; female only) or high-dose (0.5 g/L; male and female) NOS inhibition using N({omega})-nitro-L-arginine methyl ester (L-NAME) for 15 weeks. Female mice receiving low-dose L-NAME+HFD developed a HFpEF-like phenotype characterised by impaired diastolic function, exercise intolerance and preserved systolic function. Increasing NOS inhibition did not worsen diastolic dysfunction but induced inflammatory and stress-associated transcriptional pathways in female hearts. In contrast, male mice given high-dose L-NAME+HFD developed hypertension, elevated ventricular pressures and impaired systolic function, consistent with a HFrEF-like phenotype. Despite different cardiac phenotypes, circulating lipidomic profiling revealed broadly conserved sphingolipid and phospholipid remodelling, with sex-specific regulation of phosphatidylinositol and lysophosphatidylcholine species. Transcriptomic analyses identified shared regulation of extracellular matrix, calcium-handling and metabolic pathways, whereas greater NOS inhibition was associated with transcriptional signatures related to inflammatory signalling, cellular stress responses and mitochondrial homeostasis. Conclusions: Cardiometabolic stress does not produce a uniform HF phenotype. Instead, biological sex and the degree of NOS inhibition direct distinct functional and molecular remodelling trajectories, identifying HFpEF-like dysfunction as one of several potential cardiac responses to cardiometabolic injury.

pathology↗

bioRxiv2025

Neuroanatomical Basis of Coma in Acute Ischemic Stroke

BackgroundAcute ischemic stroke (AIS) can lead to profound disturbances in consciousness, including coma, which is associated with poor prognosis and increased mortality. Clarifying the lesion patterns that precipitate loss of consciousness can refine pathophysiological models and guide prognosis. ObjectivesIn this study, we aim to identify the brain regions most commonly affected in comatose AIS and determine whether specific combinations of lesions are necessary and sufficient to produce coma. MethodsWe retrospectively analyzed 476 AIS patients (52 comatose) using diffusion-weighted imaging. Infarcts were automatically segmented, manually verified, and normalized to MNI space. Support vector regression lesion-symptom mapping (SVR-LSM) quantified voxel-wise associations with coma, controlling for lesion volume. To assess the necessity and sufficiency of lesion combinations, we employed permutation-based nested logistic regression models comparing all subsets of four anatomical predictors: brainstem, thalamus, cerebellum, and the rest of brain lesions. ResultsSVR-LSM revealed that coma was strongly associated with lesions involving the brainstem, thalamus, and cerebellum, whereas non-comatose patients exhibited predominantly cortical infarcts. Nested model comparisons showed that concurrent lesions to both the brainstem and thalamus were necessary and sufficient for coma. Additional involvement of the cerebellum or cerebral cortex did not improve predictive performance. ConclusionsComa after AIS results from a dual-node subcortical lesion pattern involving both the brainstem and thalamus. Cerebellar and cortical lesions, even when extensive, did not induce coma in the absence of the dual-brainstem and thalamic lesions. These observations emphasize the predominant role of lesion location over lesion volume in the pathogenesis of coma. They also support mechanistic models that position the brainstem and thalamic hubs as central to the neural circuitry underlying arousal. Furthermore, these findings delineate a specific anatomical substrate that may serve as a strategic target for circuit-based neuroprotective and neuromodulatory therapies.

neuroscience↗

bioRxiv2022

Resting-State Electroencephalography for Continuous, Passive Prediction of Coma Recovery After Acute Brain Injury

Accurately predicting emergence from disorders of consciousness (DoC) after acute brain injury can profoundly influence mortality, acute management, and rehabilitation planning. While recent advances in functional neuroimaging and stimulus-based EEG offer the potential to enrich shared decision-making, their procedural sophistication and expense limit widespread availability or repeated performance. We investigated continuous EEG (cEEG) within a passive, "resting-state" framework to provide continuously updated predictions of DoC recovery at 24-, 48-, and 72-hour prediction horizons. To develop robust, continuous prediction models from a large population of patients with acute brain injury (ABI), we leveraged a recently described pragmatic approach transforming Glasgow Coma Scale assessment sub-score combinations into frequently assessed DoC diagnoses: coma, vegetative state, minimally conscious state with or without language, and post-injury confusional or recovered states. We retrospectively identified consecutive patients undergoing cEEG following acute traumatic brain injury (TBI), subarachnoid hemorrhage (SAH), or intracerebral hemorrhage (ICH). Models continuously predicting DoC diagnosis for multiple prediction horizons were evaluated utilizing recent clinical assessments with or without cEEG information, which comprised a comprehensive EEG feature set of 288 time, frequency, and time-frequency characteristics computed from consecutive 5-minute EEG epochs, with 6 additional features capturing each EEG features temporal dynamics. Features were fed into a predictive model developed with cross-validation; the ordinal DoC diagnosis was discriminated using an ensemble of XGBoost binary classifiers. For 201 ABI patients (46 TBI, 140 SAH, 15 ICH patients comprising 27,280 cEEG-hours with concomitant clinical assessments), cEEG-augmented models accurately predicted the future DoC diagnosis at 24 hours (one-vs-rest AU-ROC, 92.4%; weighted-F1 84.1%), 48 hours (one-vs-rest AU-ROC=88%, weighted-F1=80%) and 72 hours (one-vs-rest AU-ROC=86.3%, weighted-F1=76.6%). Models were robust to utilizing different ordinal cut-points for the DoC prediction target and evaluating additional models derived from specific sub-populations using a confound-isolating cross-validation framework. The most robust features across evaluation configurations included Petrosian fractal dimension, relative power of high to low (gamma-beta to delta-alpha) EEG frequency spectra, energy within the 12-35 Hz frequency band in the short-time Fourier transform domain, and wavelet entropy. The cEEG-augmented model exceeded the performance of models using preceding clinical assessments, continuously predicting future DoC diagnosis with one-vs-rest AU-ROC in the range of 84.3-92.4% while utilizing approaches to limit overfitting. The proposed continuous, resting-state cEEG prediction method represents a promising tool to predict DoC emergence in ABI patients. Enabling these methods prospectively would represent a new paradigm of continuous prognostic monitoring for predicting coma recovery and assessing treatment response.

neuroscience↗

bioRxiv2020

Effects of inactivation method on SARS-CoV-2 virion proteins and structure

The risk posed by Severe Acute Respiratory Syndrome Coronavirus -2 (SARS-CoV-2) dictates that live-virus research is conducted in a biosafety level 3 (BSL3) facility. Working with SARS-CoV-2 at lower biosafety levels can expedite research yet requires the virus to be fully inactivated. In this study, we validated and compared two protocols for inactivating SARS-CoV-2: heat treatment and ultraviolet irradiation. The two methods were optimized to render the virus completely incapable of infection while limiting destructive effects of inactivation. We observed that 15 minutes of incubation at 65{degrees}C completely inactivates high titer viral stocks. Complete inactivation was also achieved with minimal amounts of UV power (70,000 J/cm2), which is 100-fold less power than comparable studies. Once validated, the two methods were then compared for viral RNA quantification, virion purification, and antibody recognition. We observed that UV irradiation resulted in a 2-log reduction of detectable genomes compared to heat inactivation. Protein yield following virion enrichment was equivalent for all inactivation conditions, but the resulting viral proteins and virions were negatively impacted by inactivation method and time. We outline the strengths and weaknesses of each method so that investigators might choose the one which best meets their research goals.

microbiology↗