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Mahmutovic, D.

Publications and source records attributed to Mahmutovic, D..

2 recordsLinked to original sources

White-tailed deer milk exhibits SARS-CoV-2 neutralizing antibodies and synergistic mechanisms that contribute to rapid viral RNA degradation

White-tailed deer (WTD) represent the most significant SARS-CoV-2 wildlife reservoir in North America, yet the role of antiviral mechanisms in vertical transmission remains unexplored. We investigated SARS-CoV-2 antibody responses and viral stability in milk from lactating WTD and humans to characterize species-specific antiviral mechanisms. SARS-CoV-2 neutralizing antibodies were detected in milk and serum in WTD specimens using complementary immunoassays, providing the first evidence of humoral immune responses in wildlife milk. Despite antibody presence indicating prior SARS-CoV-2 exposure, viral RNA was undetectable in all WTD milk samples. This pattern aligns with observations in human milk, where viral RNA was also undetectable both during active infection (when nasal swabs were positive) and during antibody-positive periods following recovery. In vitro stability studies revealed striking species differences: all SARS-CoV-2 variants (A, B.1.1.7, BA.1.1.529) rapidly degraded in WTD milk within 30 min at physiological temperatures, while remaining mostly stable in human milk for up to 60 min. Biochemical characterization identified multifactorial degradation mechanisms in WTD milk, including 5-20 fold elevated mineral concentrations (sodium, magnesium, phosphorus, and potassium), enhanced protease activity, and increased lactoperoxidase levels. Individual mineral supplementation revealed variant-specific susceptibilities, with B.1.1.7 showing pronounced sensitivity to ionic stress. Mechanistic studies demonstrated synergistic effects between elevated ionic concentrations and proteolytic activity, with heat-labile and heat-stable degradation pathways contributing to viral inactivation. These findings reveal that WTD milk possesses intrinsic antiviral properties fundamentally different from human milk, representing an evolutionary adaptation that may impact viral persistence and transmission dynamics in wildlife populations. These findings reveal antiviral mechanisms in WTD milk that represent a previously unrecognized component of pathogen control in wildlife reservoirs, with important implications for understanding wildlife-pathogen interactions and zoonotic risk assessment. Author SummaryWhite-tailed deer (WTD) have become the primary wildlife reservoir for SARS-CoV-2, with millions of infected animals across North America. Despite this significance, the presence of protective antibodies and viral behavior in WTD milk remained unexplored. We collected milk samples from lactating WTD during hunting seasons to investigate whether WTD produce neutralizing antibodies similar to those found in human milk and to examine how the virus behaves in this biological fluid. Our analysis revealed that WTD milk contains antibodies capable of neutralizing SARS-CoV-2. When we compared viral stability between WTD and human milk, we observed that WTD milk rapidly degrades viral genetic material within 30-40 min, while the same virus remains stable in human milk for over an hour. We identified that WTD milk contains mineral concentrations 5-20 times higher than human milk, including elevated levels of sodium, magnesium, and potassium, along with enhanced enzyme activity that breaks down viral components. These findings indicate that WTD milk functions as a protective barrier rather than a transmission route. This has implications for understanding viral persistence in wildlife populations and assessing potential risks to human health. Our work demonstrates that deer milk possesses multiple biological defense mechanisms that may protect offspring from viral infections, contributing to our understanding of wildlife immunity and pandemic preparedness.

microbiology↗

Fast Ripple-Delta Coupling as Early Biomarker for Post-Traumatic Epileptogenesis in Repetitive Brain Injury

Traumatic brain injury (TBI) can induce post-traumatic epilepsy (PTE), but early biomarkers for epileptogenesis are lacking. We used a repetitive diffuse TBI (rdTBI) model in mice with continuous video-EEG monitoring up to 4[1/2] months post-injury to investigate electrographic biomarkers before and during post-traumatic seizure development. 25% of mice developed post-traumatic seizures with highly variable latency (5-126 days post-injury). Most significantly, we identified fast ripple-delta DOWN state coupling as an early biomarker that was detectable at 4 days post-TBI and appeared before seizure onset in all seizure-experiencing mice. This EEG signature distinguished seizure-experiencing from seizure-free TBI mice with high specificity. Power spectrum analysis revealed elevated delta and theta power, reduced physiological fast oscillations (alpha, beta, gamma) and increased pathological high-frequency oscillations (fast ripples) in seizure-experiencing animals, indicating network hyperexcitability. Spike analysis showed that while TBI itself increased cortical excitability, seizure onset triggered a dramatic further escalation in interictal activity. These electrographic signatures were remarkably consistent across all seizure-experiencing animals regardless of single or recurrent seizure pattern. Our results demonstrate that fast ripple-delta coupling represents a promising early biomarker detectable at 4 days post-TBI, before seizure onset, offering potential for early identification of post-traumatic seizure susceptibility. Importantly, this biomarker identified all seizure-prone animals regardless of whether they developed single or recurrent seizures, suggesting shared underlying mechanisms and clinical relevance for any post-traumatic seizure occurrence. These findings emphasize the utility of temporal EEG analysis for detecting early electrographic changes in post-traumatic epileptogenesis and may inform future intervention strategies. Key PointsO_LIFast ripple-delta DOWN state coupling was detectable as early as 4 days post-TBI and appeared before seizure onset in seizure-experiencing mice, representing the first early biomarker that can stratify animals for epileptogenesis risk during the critical latent period. C_LIO_LIDelta and theta power increased while alpha, beta and gamma power decreased in all seizure-experiencing mice post-TBI, creating a consistent electrographic signature regardless of whether animals developed single or recurrent seizures. C_LIO_LIFast ripples were elevated and gamma-to-HFO ratios were reduced in seizure-experiencing mice, reflecting network hyperexcitability shift and potential inhibitory dysfunction that preceded seizure onset. C_LIO_LISeizure onset triggered a 3-fold escalation in spike activity, while baseline spike differences between TBI and pre-seizure mice were not significant, highlighting the limitation of spike counts alone as predictive biomarkers during the latent period. C_LIO_LIElectrographic signatures were almost similar across all seizure patterns (single and recurrent), suggesting shared underlying mechanisms of network dysfunction, though larger studies are needed to determine if biomarkers can predict seizure frequency in addition to seizure susceptibility. C_LI

neuroscience↗