Hamsters with long Covid exhibits a neurodegenerative signature in the brainstem DOI Creative Commons
Anthony Coleon, Florence Larrous, Lauriane Kergoat

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 16, 2024

Abstract After infection with SARS-CoV-2, patients may present one or more symptoms that appear persist over time, including fatigue, respiratory, cardiovascular and neurological disorders. Neurological include anxiety, depression impaired short-term memory. However, the exact underlying mechanisms of long Covid are not yet decrypted. Using golden hamster as a model, we provide further evidence SARS-CoV-2 is neuroinvasive can in central nervous system, found viral RNA replicative virus brainstem after 80 days infection. Infected hamsters presented neurodegenerative signature brainstem, overexpression innate immunity genes, impacted dopaminergic glutamatergic synapses, altered energy metabolism. Finally, infected manifested persistent signs memory, well late-onset valuable model to study Covid. Conclusively, virus-related immunometabolic coexist contribute manifestation neuropsychiatric cognitive symptoms. Highlights infects persists intranasally-inoculated Persistent consequences observed SARS-CoV-2-infected The distinct transcriptome profiles acute systems affected affects expression genes related processes

Language: Английский

Brain 18F-FDG-PET abnormalities and their associations with neuropsychological assessment in initially hospitalized patients with post-COVID-19 conditions: a prospective and longitudinal study DOI
Sébastien Heyer, Mylène Meyer, Gabriela Hossu

et al.

European Journal of Nuclear Medicine and Molecular Imaging, Journal Year: 2025, Volume and Issue: unknown

Published: March 26, 2025

Language: Английский

Citations

1

Altered brain glucose metabolism in COVID-19 disease: an activation likelihood estimation meta-analysis of PET studies DOI

Dongju Kang,

Hyunji Jung,

Kyoungjune Pak

et al.

Brain Imaging and Behavior, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 24, 2025

Language: Английский

Citations

0

Distinguished Multimodal Imaging Features Affected by COVID-19 in Major Depressive Disorder Patients DOI
Taipeng Sun,

Chenguang Jiang,

Y. Zhang

et al.

Journal of Psychiatric Research, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0

Convergent Mechanisms in Virus-Induced Cancers: A Perspective on Classical Viruses, SARS-CoV-2, and AI-Driven Solutions DOI Creative Commons

Thorsten Rudroff

Infectious Disease Reports, Journal Year: 2025, Volume and Issue: 17(2), P. 33 - 33

Published: April 16, 2025

This perspective examines the potential oncogenic mechanisms of SARS-CoV-2 through comparative analysis with established cancer-causing viruses, integrating classical virological approaches artificial intelligence (AI)-driven analysis. The paper explores four key themes: shared between viruses and (including cell cycle dysregulation, inflammatory signaling, immune evasion, metabolic reprogramming); application AI in understanding viral oncogenesis; integration neuroimaging evidence; future research directions. author presents novel hypotheses regarding SARS-CoV-2’s mechanisms, supported by recent PET/FDG imaging studies showing persistent alterations. manuscript emphasizes transformative combining traditional methods advanced technologies for better preventing virus-induced cancers, while highlighting importance long-term monitoring COVID-19 survivors developments.

Language: Английский

Citations

0

Transforming Niclosamide through Nanotechnology: A Promising Approach for Long COVID Management DOI Creative Commons
N. Sanoj Rejinold, Goeun Choi, Geun‐woo Jin

et al.

Small, Journal Year: 2025, Volume and Issue: unknown

Published: May 19, 2025

Abstract Coronavirus disease 2019 (COVID‐19), caused by severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), has infected over 770 million people worldwide. The long‐term effects of COVID‐19 and their management have become important issues. Accumulating evidence indicates that post‐COVID‐19 syndrome, also known as long COVID, is not limited to symptoms but affects a wide range systems, including neurological, cardiovascular, gastrointestinal, musculoskeletal, reproductive systems etc. social economic losses associated with these are estimated reach 3·7 trillion dollars in the United States alone. However, no treatment for COVID been developed. Herein, literature on comprehensively reviewed examine underlying causes. Additionally, supporting efficacy nanoengineered niclosamide presented, given its ability counteract Niclosamide already Food Drug Administration (FDA)‐approved, one viable candidate clinical trials COVID.

Language: Английский

Citations

0

Reorganization of brain connectivity in post-COVID condition: a 18F-FDG PET study DOI Creative Commons
Antoine Verger, Matthieu Doyen, Sébastien Heyer

et al.

EJNMMI Research, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 30, 2025

A hypometabolic brain pattern has been reported in patients with post-COVID condition (PCC). The aim of this study was to investigate reorganization metabolic connectivity PCC. One hundred eighty-eight who underwent 18F-FDG PET for PCC were retrospectively included from two university hospital centres. These age- and sex-matched 120 healthy controls before the COVID-19 outbreak. voxel-based group comparison between performed (p-voxel at 0.005 uncorrected, p-cluster 0.05 FWE corrected). Interregional correlation analyses identified clusters as well sparse inverse covariance estimations whole-brain scaling also conducted. Both level all then secondarily according postinfection delay; 88 100 patients, respectively, had a delay less than or greater 9 months (± M). Three clusters, namely, right frontotemporal, left cerebellar, comparisons patients. Within pattern, modification observed compared controls, which more marked + M - group. On other hand, graph analysis revealed decrease efficiency metrics Metabolic is modified within post-COVID-19 network, lasting evolving over time, suggesting functional adaptation.

Language: Английский

Citations

0

Overlapping conditions in Long COVID at a multisite academic center DOI Creative Commons
Stephanie L. Grach, Daniel V. Dudenkov,

Beth Pollack

et al.

Frontiers in Neurology, Journal Year: 2024, Volume and Issue: 15

Published: Oct. 25, 2024

Many patients experience persistent symptoms after COVID-19, a syndrome referred to as Long COVID (LC). The goal of this study was identify novel new or worsening comorbidities self-reported in with LC.

Language: Английский

Citations

1

Metabolic Brain PET Connectivity DOI

Tatiana Horowitz,

Matthieu Doyen, Silvia Paola Caminiti

et al.

PET Clinics, Journal Year: 2024, Volume and Issue: 20(1), P. 1 - 10

Published: Oct. 31, 2024

Language: Английский

Citations

1

Long Coronavirus Disease and the Brain DOI
Éric Guedj, Alexandre Cionca, Julie Péron

et al.

PET Clinics, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

1

Reorganization of brain connectivity in post-COVID condition A 18F-FDG PET study DOI
Antoine Verger, Matthieu Doyen, Sébastien Heyer

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 2, 2024

Abstract Background. A hypometabolic brain pattern has been reported in patients with post-COVID condition. The aim of this study was to investigate reorganization metabolic connectivity condition (PCC). Results. One hundred eighty-eight who underwent 18F-FDG PET for PCC were retrospectively included from two university hospital centres. These age- and sex-matched 120 healthy controls before the COVID-19 outbreak. voxel-based group comparison between performed (p-voxel at 0.005 uncorrected, p-cluster 0.05 FWE corrected). Interregional correlation analyses (IRCA) identified clusters as well sparse inverse covariance estimations (SICEs) whole-brain scaling also conducted. Both level all then secondarily according postinfection delay; 88 100 patients, respectively, had a delay less than or greater 9 months (± M). Three clusters, namely, right frontotemporal, left cerebellar, comparisons patients. Within pattern, modification observed compared controls, which more marked + M − group. On other hand, graph analysis revealed decrease efficiency metrics PCC. Conclusions. Metabolic is modified within post-COVID-19 network, lasting evolving over time, suggesting functional adaptation.

Language: Английский

Citations

0