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Khodanovich M, Svetlik M, Kamaeva D, Usova A, Kudabaeva M, Anan’ina T, Vasserlauf I, Pashkevich V, Moshkina M, Obukhovskaya V, Kataeva N, Levina A, Tumentceva Y, Vasilieva S, Schastnyy E, Naumova A. Demyelination in Patients with POST-COVID Depression. J Clin Med 2024; 13:4692. [PMID: 39200834 PMCID: PMC11355865 DOI: 10.3390/jcm13164692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2024] [Revised: 07/31/2024] [Accepted: 08/06/2024] [Indexed: 09/02/2024] Open
Abstract
Background: Depression is one of the most severe sequelae of COVID-19, with major depressive disorder often characterized by disruption in white matter (WM) connectivity stemming from changes in brain myelination. This study aimed to quantitatively assess brain myelination in clinically diagnosed post-COVID depression (PCD) using the recently proposed MRI method, macromolecular proton fraction (MPF) mapping. Methods: The study involved 63 recovered COVID-19 patients (52 mild, 11 moderate, and 2 severe) at 13.5 ± 10.0 months post-recovery, with matched controls without prior COVID-19 history (n = 19). A post-COVID depression group (PCD, n = 25) was identified based on psychiatric diagnosis, while a comparison group (noPCD, n = 38) included participants with neurological COVID-19 complications, excluding clinical depression. Results: Fast MPF mapping revealed extensive demyelination in PCD patients, particularly in juxtacortical WM (predominantly occipital lobe and medial surface), WM tracts (inferior fronto-occipital fasciculus (IFOF), posterior thalamic radiation, external capsule, sagittal stratum, tapetum), and grey matter (GM) structures (hippocampus, putamen, globus pallidus, and amygdala). The noPCD group also displayed notable demyelination, but with less magnitude and propagation. Multiple regression analysis highlighted IFOF demyelination as the primary predictor of Hamilton scores, PCD presence, and severity. The number of post-COVID symptoms was a significant predictor of PCD presence, while the number of acute symptoms was a significant predictor of PCD severity. Conclusions: This study, for the first time, reveals extensive demyelination in numerous WM and GM structures in PCD, outlining IFOF demyelination as a key biomarker.
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Affiliation(s)
- Marina Khodanovich
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
| | - Mikhail Svetlik
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
| | - Daria Kamaeva
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk 634014, Russia
| | - Anna Usova
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
- Cancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 12/1 Savinykh Street, Tomsk 634028, Russia
| | - Marina Kudabaeva
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
| | - Tatyana Anan’ina
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
| | - Irina Vasserlauf
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
| | - Valentina Pashkevich
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
| | - Marina Moshkina
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
| | - Victoria Obukhovskaya
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
- Department of Fundamental Psychology and Behavioral Medicine, Siberian State Medical University, 2 Moskovskiy Trakt, Tomsk 634050, Russia
| | - Nadezhda Kataeva
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
- Department of Neurology and Neurosurgery, Siberian State Medical University, 2 Moskovskiy Trakt, Tomsk 634028, Russia
| | - Anastasia Levina
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
- Medica Diagnostic and Treatment Center, 86 Sovetskaya Street, Tomsk 634510, Russia
| | - Yana Tumentceva
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia
| | - Svetlana Vasilieva
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk 634014, Russia
| | - Evgeny Schastnyy
- Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk 634014, Russia
| | - Anna Naumova
- Department of Radiology, School of Medicine, South Lake Union Campus, University of Washington, 850 Republican Street, Seattle, WA 98109, USA
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Schreiber CS, Wiesweg I, Stanelle-Bertram S, Beck S, Kouassi NM, Schaumburg B, Gabriel G, Richter F, Käufer C. Sex-specific biphasic alpha-synuclein response and alterations of interneurons in a COVID-19 hamster model. EBioMedicine 2024; 105:105191. [PMID: 38865747 PMCID: PMC11293593 DOI: 10.1016/j.ebiom.2024.105191] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 05/02/2024] [Accepted: 05/25/2024] [Indexed: 06/14/2024] Open
Abstract
BACKGROUND Coronavirus disease 2019 (COVID-19) frequently leads to neurological complications after recovery from acute infection, with higher prevalence in women. However, mechanisms by which SARS-CoV-2 disrupts brain function remain unclear and treatment strategies are lacking. We previously demonstrated neuroinflammation in the olfactory bulb of intranasally infected hamsters, followed by alpha-synuclein and tau accumulation in cortex, thus mirroring pathogenesis of neurodegenerative diseases such as Parkinson's or Alzheimer's disease. METHODS To uncover the sex-specific spatiotemporal profiles of neuroinflammation and neuronal dysfunction following intranasal SARS-CoV-2 infection, we quantified microglia cell density, alpha-synuclein immunoreactivity and inhibitory interneurons in cortical regions, limbic system and basal ganglia at acute and late post-recovery time points. FINDINGS Unexpectedly, microglia cell density and alpha-synuclein immunoreactivity decreased at 6 days post-infection, then rebounded to overt accumulation at 21 days post-infection. This biphasic response was most pronounced in amygdala and striatum, regions affected early in Parkinson's disease. Several brain regions showed altered densities of parvalbumin and calretinin interneurons which are involved in cognition and motor control. Of note, females appeared more affected. INTERPRETATION Our results demonstrate that SARS-CoV-2 profoundly disrupts brain homeostasis without neuroinvasion, via neuroinflammatory and protein regulation mechanisms that persist beyond viral clearance. The regional patterns and sex differences are in line with neurological deficits observed after SARS-CoV-2 infection. FUNDING Federal Ministry of Health, Germany (BMG; ZMV I 1-2520COR501 to G.G.), Federal Ministry of Education and Research, Germany (BMBF; 03COV06B to G.G.), Ministry of Science and Culture of Lower Saxony in Germany (14-76403-184, to G.G. and F.R.).
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Affiliation(s)
- Cara Sophie Schreiber
- Department of Pharmacology, Toxicology, and Pharmacy; University of Veterinary Medicine Hannover, Hannover, Germany; Center for Systems Neuroscience Hannover (ZSN), Germany
| | - Ivo Wiesweg
- Department of Pharmacology, Toxicology, and Pharmacy; University of Veterinary Medicine Hannover, Hannover, Germany
| | | | - Sebastian Beck
- Department for Viral Zoonoses-One Health, Leibniz Institute of Virology, Hamburg, Germany
| | - Nancy Mounogou Kouassi
- Department for Viral Zoonoses-One Health, Leibniz Institute of Virology, Hamburg, Germany
| | - Berfin Schaumburg
- Department for Viral Zoonoses-One Health, Leibniz Institute of Virology, Hamburg, Germany
| | - Gülsah Gabriel
- Department for Viral Zoonoses-One Health, Leibniz Institute of Virology, Hamburg, Germany; Institute of Virology, University of Veterinary Medicine Hannover, Hannover, Germany
| | - Franziska Richter
- Department of Pharmacology, Toxicology, and Pharmacy; University of Veterinary Medicine Hannover, Hannover, Germany; Center for Systems Neuroscience Hannover (ZSN), Germany.
| | - Christopher Käufer
- Department of Pharmacology, Toxicology, and Pharmacy; University of Veterinary Medicine Hannover, Hannover, Germany; Center for Systems Neuroscience Hannover (ZSN), Germany.
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3
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Russell SJ, Parker K, Lehoczki A, Lieberman D, Partha IS, Scott SJ, Phillips LR, Fain MJ, Nikolich JŽ. Post-acute sequelae of SARS-CoV-2 infection (Long COVID) in older adults. GeroScience 2024:10.1007/s11357-024-01227-8. [PMID: 38874693 DOI: 10.1007/s11357-024-01227-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2024] [Accepted: 05/26/2024] [Indexed: 06/15/2024] Open
Abstract
Long COVID, also known as PASC (post-acute sequelae of SARS-CoV-2), is a complex infection-associated chronic condition affecting tens of millions of people worldwide. Many aspects of this condition are incompletely understood. Among them is how this condition may manifest itself in older adults and how it might impact the older population. Here, we briefly review the current understanding of PASC in the adult population and examine what is known on its features with aging. Finally, we outline the major gaps and areas for research most germane to older adults.
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Affiliation(s)
- Samantha J Russell
- Division of General Internal Medicine, Geriatrics, and Palliative Medicine, Department of Medicine, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA
- Arizona Center of Aging, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA
- Banner University Medicine-Tucson, Tucson, AZ, USA
| | - Karen Parker
- Division of General Internal Medicine, Geriatrics, and Palliative Medicine, Department of Medicine, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA
- Arizona Center of Aging, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA
- Banner University Medicine-Tucson, Tucson, AZ, USA
| | - Andrea Lehoczki
- Doctoral College, Health Sciences Program, Semmelweis University, Budapest, Hungary
- Department of Haematology and Stem Cell Transplantation, National Institute for Haematology and Infectious Diseases, South Pest Central Hospital, 1097, Budapest, Hungary
- Department of Public Health, Semmelweis University, Budapest, Hungary
| | - David Lieberman
- Division of General Internal Medicine, Geriatrics, and Palliative Medicine, Department of Medicine, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA
- Arizona Center of Aging, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA
- Banner University Medicine-Tucson, Tucson, AZ, USA
| | - Indu S Partha
- Division of General Internal Medicine, Geriatrics, and Palliative Medicine, Department of Medicine, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA
- Banner University Medicine-Tucson, Tucson, AZ, USA
| | - Serena J Scott
- Division of General Internal Medicine, Geriatrics, and Palliative Medicine, Department of Medicine, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA
- Arizona Center of Aging, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA
- Banner University Medicine-Tucson, Tucson, AZ, USA
| | - Linda R Phillips
- Division of General Internal Medicine, Geriatrics, and Palliative Medicine, Department of Medicine, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA
- Arizona Center of Aging, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA
- College of Nursing, University of Arizona, Tucson, AZ, USA
| | - Mindy J Fain
- Division of General Internal Medicine, Geriatrics, and Palliative Medicine, Department of Medicine, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA.
- Arizona Center of Aging, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA.
- Banner University Medicine-Tucson, Tucson, AZ, USA.
- College of Nursing, University of Arizona, Tucson, AZ, USA.
| | - Janko Ž Nikolich
- Arizona Center of Aging, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA.
- Department of Immunobiology, University of Arizona College of Medicine-Tucson, Tucson, AZ, USA.
- The Aegis Consortium for Pandemic-Free Future, University of Arizona Health Sciences, Tucson, AZ, USA.
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4
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Wang L, Ye L, Jin Y, Pan X, Wang X. A bibliometric analysis of the knowledge related to mental health during and post COVID-19 pandemic. Front Psychol 2024; 15:1411340. [PMID: 38899123 PMCID: PMC11186513 DOI: 10.3389/fpsyg.2024.1411340] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Accepted: 05/16/2024] [Indexed: 06/21/2024] Open
Abstract
Objective COVID-19 led to a horrific global pandemic, with strict lockdowns and prolonged indoor stays increasing the risk of mental health problems, affecting people of different ages, genders, regions, and types of work to varying degrees. This study provides a bibliometric summary of the knowledge map related to mental health during and post COVID-19 pandemic. Methods Publications related to mental health during and post COVID-19 pandemic were searched in the Web of Science Core Collection (WoSCC) database through March 19, 2024. After screening the search results, the literature included in the final was first quantitatively analyzed using GraphPad Prism software and then visualized using VOSviewer, CiteSpace, and R (the bibliometrix package). Results The 7,047 publications from 110 countries were included, with the highest number of publications from China and the United States, and the number of publications related to mental health during and post the COVID-19 pandemic increased annually until 2023, after which it began to decline. The major institutions were University of Toronto, University of London, Harvard University, King's College London, University College London, University of California System, University of Melbourne, Institut National De La Sante Et De La Recherche Medicale (Inserm), Mcgill University, and University of Ottawa; Frontiers in Psychiatry had the highest number of publications, and the Journal of Affective Disorders had the highest number of co-citations; 36,486 authors included, with Xiang, Yu-Tao, Cheung, Teris, Chung, Seockhoon published the most papers, and World Health Organization, Kroenke K, and Wang CY were the most co-cited; epidemiologically relevant studies on mental health related to COVID-19, and the importance of mental health during normalized epidemic prevention and control are the main directions of this research area, especially focusing on children's mental health; "pandemic," "sars-cov-2," "epidemic," "depression," "coronavirus anxiety," "anxiety," "longitudinal," "child," "coronavirus anxiety," "longitudinal," "child," and "coronavirus" are the top keywords in recent years. Conclusion This comprehensive bibliometric study summarizes research trends and advances in mental health during and after the COVID-19 Pandemic. It serves as a reference for mental health research scholars during and after the COVID-19 pandemic, clarifying recent research preoccupations and topical directions.
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Affiliation(s)
- Lili Wang
- Nursing Department, Ningbo Medical Center LiHuiLi Hospital, Ningbo, Zhejiang, China
| | - Lingxiao Ye
- Nursing Department, Ningbo Medical Center LiHuiLi Hospital, Ningbo, Zhejiang, China
| | - Yanyan Jin
- Nursing Department, Ningbo Medical Center LiHuiLi Hospital, Ningbo, Zhejiang, China
| | - Xingying Pan
- Department of Emergency Medicine, Yuyao People’s Hospital, Medical School of Ningbo University, Ningbo, Zhejiang, China
| | - Xuesong Wang
- College of Acupuncture-Moxibustion and Tuina, Hebei University of Chinese Medicine, Shijiazhuang, Hebei, China
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5
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Gutman EG, Salvio AL, Fernandes RA, Duarte LA, Raposo-Vedovi JV, Alcaraz HF, Teixeira MA, Passos GF, de Medeiros KQM, Hammerle MB, Pires KL, Vasconcelos CCF, Leon LAA, Figueiredo CP, Alves-Leon SV. Long COVID: plasma levels of neurofilament light chain in mild COVID-19 patients with neurocognitive symptoms. Mol Psychiatry 2024:10.1038/s41380-024-02554-0. [PMID: 38678084 DOI: 10.1038/s41380-024-02554-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/04/2023] [Revised: 04/02/2024] [Accepted: 04/05/2024] [Indexed: 04/29/2024]
Abstract
It is well known the potential of severe acute respiratory coronavirus type 2 (SARS-CoV-2) infection to induce post-acute sequelae, a condition called Long COVID. This syndrome includes several symptoms, but the central nervous system (CNS) main one is neurocognitive dysfunction. Recently it has been demonstrated the relevance of plasma levels of neurofilament light chain (pNfL), as a biomarker of early involvement of the CNS in COVID-19. The aim of this study was to investigate the relationship between pNfL in patients with post-acute neurocognitive symptoms and the potential of NfL as a prognostic biomarker in these cases. A group of 63 long COVID patients ranging from 18 to 59 years-old were evaluated, submitted to a neurocognitive battery assessment, and subdivided in different groups, according to results. Plasma samples were collected during the long COVID assessment and used for measurement of pNfL with the Single molecule array (SIMOA) assays. Levels of pNfL were significantly higher in long COVID patients with neurocognitive symptoms when compared to HC (p = 0.0031). Long COVID patients with cognitive impairment and fatigue symptoms presented higher pNfL levels when compared to long COVID patients without these symptoms, individually and combined (p = 0.0263, p = 0.0480, and 0.0142, respectively). Correlation analysis showed that levels of cognitive lost and exacerbation of fatigue in the neurocognitive evaluation had a significative correlation with higher pNfL levels (p = 0.0219 and 0.0255, respectively). Previous reports suggested that pNfL levels are related with higher risk of severity and predict lethality of COVID-19. Our findings demonstrate that SARS-CoV-2 infection seems to have a long-term impact on the brain, even in patients who presented mild acute disease. NfL measurements might be useful to identify CNS involvement in long COVID associated with neurocognitive symptoms and to identify who will need continuous monitoring and treatment support.
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Affiliation(s)
- Elisa Gouvea Gutman
- Translational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro/UNIRIO, Rio de Janeiro, RJ, ZIP CODE 20211-040, Brazil
- Clinical Medicine post-graduation program, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Andreza Lemos Salvio
- Translational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro/UNIRIO, Rio de Janeiro, RJ, ZIP CODE 20211-040, Brazil
| | - Renan Amphilophio Fernandes
- Translational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro/UNIRIO, Rio de Janeiro, RJ, ZIP CODE 20211-040, Brazil
| | - Larissa Araujo Duarte
- Translational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro/UNIRIO, Rio de Janeiro, RJ, ZIP CODE 20211-040, Brazil
- Clinical Medicine post-graduation program, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Jessica Vasques Raposo-Vedovi
- Translational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro/UNIRIO, Rio de Janeiro, RJ, ZIP CODE 20211-040, Brazil
| | - Helena França Alcaraz
- Translational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro/UNIRIO, Rio de Janeiro, RJ, ZIP CODE 20211-040, Brazil
| | - Milene Ataíde Teixeira
- Translational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro/UNIRIO, Rio de Janeiro, RJ, ZIP CODE 20211-040, Brazil
| | | | | | - Mariana Beiral Hammerle
- Division of Neurology, Gaffrée and Guinle University Hospital, Federal University of the State of Rio de Janeiro/UNIRIO, Rio de Janeiro, RJ, Brazil
| | - Karina Lebeis Pires
- Division of Neurology, Gaffrée and Guinle University Hospital, Federal University of the State of Rio de Janeiro/UNIRIO, Rio de Janeiro, RJ, Brazil
| | | | | | | | - Soniza Vieira Alves-Leon
- Translational Neuroscience Laboratory (LabNet), Biomedical Institute, Federal University of the State of Rio de Janeiro/UNIRIO, Rio de Janeiro, RJ, ZIP CODE 20211-040, Brazil.
- Department of Neurology, Clementino Fraga Filho University Hospital, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.
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Gheorghita R, Soldanescu I, Lobiuc A, Caliman Sturdza OA, Filip R, Constantinescu – Bercu A, Dimian M, Mangul S, Covasa M. The knowns and unknowns of long COVID-19: from mechanisms to therapeutical approaches. Front Immunol 2024; 15:1344086. [PMID: 38500880 PMCID: PMC10944866 DOI: 10.3389/fimmu.2024.1344086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Accepted: 02/14/2024] [Indexed: 03/20/2024] Open
Abstract
The coronavirus disease 2019 (COVID-19) pandemic caused by SARS-CoV-2 has been defined as the greatest global health and socioeconomic crisis of modern times. While most people recover after being infected with the virus, a significant proportion of them continue to experience health issues weeks, months and even years after acute infection with SARS-CoV-2. This persistence of clinical symptoms in infected individuals for at least three months after the onset of the disease or the emergence of new symptoms lasting more than two months, without any other explanation and alternative diagnosis have been named long COVID, long-haul COVID, post-COVID-19 conditions, chronic COVID, or post-acute sequelae of SARS-CoV-2 (PASC). Long COVID has been characterized as a constellation of symptoms and disorders that vary widely in their manifestations. Further, the mechanisms underlying long COVID are not fully understood, which hamper efficient treatment options. This review describes predictors and the most common symptoms related to long COVID's effects on the central and peripheral nervous system and other organs and tissues. Furthermore, the transcriptional markers, molecular signaling pathways and risk factors for long COVID, such as sex, age, pre-existing condition, hospitalization during acute phase of COVID-19, vaccination, and lifestyle are presented. Finally, recommendations for patient rehabilitation and disease management, as well as alternative therapeutical approaches to long COVID sequelae are discussed. Understanding the complexity of this disease, its symptoms across multiple organ systems and overlapping pathologies and its possible mechanisms are paramount in developing diagnostic tools and treatments.
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Affiliation(s)
- Roxana Gheorghita
- Victor Babes University of Medicine and Pharmacy, Timisoara, Romania
- Department of Biomedical Sciences, College of Medicine and Biological Science, University of Suceava, Suceava, Romania
| | - Iuliana Soldanescu
- Integrated Center for Research, Development and Innovation for Advanced Materials, Nanotechnologies, Manufacturing and Control Distributed Systems (MANSiD), University of Suceava, Suceava, Romania
| | - Andrei Lobiuc
- Department of Biomedical Sciences, College of Medicine and Biological Science, University of Suceava, Suceava, Romania
| | - Olga Adriana Caliman Sturdza
- Department of Biomedical Sciences, College of Medicine and Biological Science, University of Suceava, Suceava, Romania
- Suceava Emergency Clinical County Hospital, Suceava, Romania
| | - Roxana Filip
- Department of Biomedical Sciences, College of Medicine and Biological Science, University of Suceava, Suceava, Romania
- Suceava Emergency Clinical County Hospital, Suceava, Romania
| | - Adela Constantinescu – Bercu
- Department of Biomedical Sciences, College of Medicine and Biological Science, University of Suceava, Suceava, Romania
- Institute of Cardiovascular Science, Hemostasis Research Unit, University College London (UCL), London, United Kingdom
| | - Mihai Dimian
- Integrated Center for Research, Development and Innovation for Advanced Materials, Nanotechnologies, Manufacturing and Control Distributed Systems (MANSiD), University of Suceava, Suceava, Romania
- Department of Computer, Electronics and Automation, University of Suceava, Suceava, Romania
| | - Serghei Mangul
- Department of Clinical Pharmacy, USC Alfred E. Mann School of Pharmacy and Pharmaceutical Sciences, University of Southern California, Los Angeles, CA, United States
- Department of Quantitative and Computational Biology, USC Dornsife College of Letters, Arts and Sciences, University of Southern California (USC), Los Angeles, CA, United States
| | - Mihai Covasa
- Department of Biomedical Sciences, College of Medicine and Biological Science, University of Suceava, Suceava, Romania
- Department of Basic Medical Sciences, Western University of Health Sciences, College of Osteopathic Medicine, Pomona, CA, United States
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7
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Greene C, Connolly R, Brennan D, Laffan A, O'Keeffe E, Zaporojan L, O'Callaghan J, Thomson B, Connolly E, Argue R, Meaney JFM, Martin-Loeches I, Long A, Cheallaigh CN, Conlon N, Doherty CP, Campbell M. Blood-brain barrier disruption and sustained systemic inflammation in individuals with long COVID-associated cognitive impairment. Nat Neurosci 2024; 27:421-432. [PMID: 38388736 PMCID: PMC10917679 DOI: 10.1038/s41593-024-01576-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 01/09/2024] [Indexed: 02/24/2024]
Abstract
Vascular disruption has been implicated in coronavirus disease 2019 (COVID-19) pathogenesis and may predispose to the neurological sequelae associated with long COVID, yet it is unclear how blood-brain barrier (BBB) function is affected in these conditions. Here we show that BBB disruption is evident during acute infection and in patients with long COVID with cognitive impairment, commonly referred to as brain fog. Using dynamic contrast-enhanced magnetic resonance imaging, we show BBB disruption in patients with long COVID-associated brain fog. Transcriptomic analysis of peripheral blood mononuclear cells revealed dysregulation of the coagulation system and a dampened adaptive immune response in individuals with brain fog. Accordingly, peripheral blood mononuclear cells showed increased adhesion to human brain endothelial cells in vitro, while exposure of brain endothelial cells to serum from patients with long COVID induced expression of inflammatory markers. Together, our data suggest that sustained systemic inflammation and persistent localized BBB dysfunction is a key feature of long COVID-associated brain fog.
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Affiliation(s)
- Chris Greene
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Ruairi Connolly
- Department of Neurology, Health Care Centre, St James's Hospital, Dublin, Ireland
| | - Declan Brennan
- Department of Neurology, Health Care Centre, St James's Hospital, Dublin, Ireland
| | - Aoife Laffan
- Department of Neurology, Health Care Centre, St James's Hospital, Dublin, Ireland
| | - Eoin O'Keeffe
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Lilia Zaporojan
- Department of Neurology, Health Care Centre, St James's Hospital, Dublin, Ireland
| | | | - Bennett Thomson
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland
| | - Emma Connolly
- The Irish Longitudinal Study on Ageing, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Ruth Argue
- Clinical Research Facility, St James's Hospital, Dublin, Ireland
| | - James F M Meaney
- Thomas Mitchell Centre for Advanced Medical Imaging (CAMI), St. James's Hospital & Trinity College Dublin, Dublin, Ireland
| | - Ignacio Martin-Loeches
- Department of Intensive Care Medicine, Multidisciplinary Intensive Care Research Organization, Trinity Centre for Health Sciences, St James's University Hospital, Dublin, Ireland
| | - Aideen Long
- Trinity Translational Medicine Institute, Trinity College Dublin, St James's Hospital, Dublin, Ireland
| | - Cliona Ni Cheallaigh
- Trinity Translational Medicine Institute, Trinity College Dublin, St James's Hospital, Dublin, Ireland
- Department of Immunology, St James's Hospital, Dublin, Ireland
| | - Niall Conlon
- Department of Immunology, St James's Hospital, Dublin, Ireland
- St James's Hospital, Tallaght University Hospital, Trinity College Dublin Allied Researchers (STTAR) Bioresource, Trinity College Dublin, Dublin, Ireland
| | - Colin P Doherty
- Department of Neurology, Health Care Centre, St James's Hospital, Dublin, Ireland.
- Academic Unit of Neurology, Biomedical Sciences Institute, Trinity College Dublin, Dublin, Ireland.
- FutureNeuro, Science Foundation Ireland Research Centre for Chronic and Rare Neurological Diseases, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland.
| | - Matthew Campbell
- Smurfit Institute of Genetics, Trinity College Dublin, Dublin, Ireland.
- FutureNeuro, Science Foundation Ireland Research Centre for Chronic and Rare Neurological Diseases, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland.
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Khodanovich M, Naumova A, Kamaeva D, Obukhovskaya V, Vasilieva S, Schastnyy E, Kataeva N, Levina A, Kudabaeva M, Pashkevich V, Moshkina M, Tumentceva Y, Svetlik M. Neurocognitive Changes in Patients with Post-COVID Depression. J Clin Med 2024; 13:1442. [PMID: 38592295 PMCID: PMC10933987 DOI: 10.3390/jcm13051442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 02/16/2024] [Accepted: 02/20/2024] [Indexed: 04/10/2024] Open
Abstract
Background: Depression and cognitive impairment are recognized complications of COVID-19. This study aimed to assess cognitive performance in clinically diagnosed post-COVID depression (PCD, n = 25) patients using neuropsychological testing. Methods: The study involved 71 post-COVID patients with matched control groups: recovered COVID-19 individuals without complications (n = 18) and individuals without prior COVID-19 history (n = 19). A post-COVID depression group (PCD, n = 25) was identified based on psychiatric diagnosis, and a comparison group (noPCD, n = 46) included participants with neurological COVID-19 complications, excluding clinical depression. Results: The PCD patients showed gender-dependent significant cognitive impairment in the MoCA, Word Memory Test (WMT), Stroop task (SCWT), and Trail Making Test (TMT) compared to the controls and noPCD patients. Men with PCD showed worse performances on the SCWT, in MoCA attention score, and on the WMT (immediate and delayed word recall), while women with PCD showed a decline in MoCA total score, an increased processing time with less errors on the TMT, and worse immediate recall. No differences between groups in Sniffin's stick test were found. Conclusions: COVID-related direct (post-COVID symptoms) and depression-mediated (depression itself, male sex, and severity of COVID-19) predictors of decline in memory and information processing speed were identified. Our findings may help to personalize the treatment of depression, taking a patient's gender and severity of previous COVID-19 disease into account.
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Affiliation(s)
- Marina Khodanovich
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia; (D.K.); (V.O.); (N.K.); (A.L.); (M.K.); (V.P.); (M.M.); (Y.T.); (M.S.)
| | - Anna Naumova
- Department of Radiology, School of Medicine, South Lake Union Campus, University of Washington, 850 Republican Street, Seattle, WA 98109, USA;
| | - Daria Kamaeva
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia; (D.K.); (V.O.); (N.K.); (A.L.); (M.K.); (V.P.); (M.M.); (Y.T.); (M.S.)
- Laboratory of Molecular Genetics and Biochemistry, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 4 Aleutskaya Street, Tomsk 634014, Russia
| | - Victoria Obukhovskaya
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia; (D.K.); (V.O.); (N.K.); (A.L.); (M.K.); (V.P.); (M.M.); (Y.T.); (M.S.)
- Department of Fundamental Psychology and Behavioral Medicine, Siberian State Medical University, 2 Moskovskiy Trakt, Tomsk 6340505, Russia
| | - Svetlana Vasilieva
- Department of Affective States, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 4 Aleutskaya Street, Tomsk 634014, Russia; (S.V.); (E.S.)
| | - Evgeny Schastnyy
- Department of Affective States, Mental Health Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, 4 Aleutskaya Street, Tomsk 634014, Russia; (S.V.); (E.S.)
| | - Nadezhda Kataeva
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia; (D.K.); (V.O.); (N.K.); (A.L.); (M.K.); (V.P.); (M.M.); (Y.T.); (M.S.)
- Department of Neurology and Neurosurgery, Siberian State Medical University, 2 Moskovskiy Trakt, Tomsk 6340505, Russia
| | - Anastasia Levina
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia; (D.K.); (V.O.); (N.K.); (A.L.); (M.K.); (V.P.); (M.M.); (Y.T.); (M.S.)
- Medica Diagnostic and Treatment Center, 86 Sovetskaya Street, Tomsk 634510, Russia
| | - Marina Kudabaeva
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia; (D.K.); (V.O.); (N.K.); (A.L.); (M.K.); (V.P.); (M.M.); (Y.T.); (M.S.)
| | - Valentina Pashkevich
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia; (D.K.); (V.O.); (N.K.); (A.L.); (M.K.); (V.P.); (M.M.); (Y.T.); (M.S.)
| | - Marina Moshkina
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia; (D.K.); (V.O.); (N.K.); (A.L.); (M.K.); (V.P.); (M.M.); (Y.T.); (M.S.)
| | - Yana Tumentceva
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia; (D.K.); (V.O.); (N.K.); (A.L.); (M.K.); (V.P.); (M.M.); (Y.T.); (M.S.)
| | - Mikhail Svetlik
- Laboratory of Neurobiology, Research Institute of Biology and Biophysics, Tomsk State University, 36 Lenina Ave., Tomsk 634050, Russia; (D.K.); (V.O.); (N.K.); (A.L.); (M.K.); (V.P.); (M.M.); (Y.T.); (M.S.)
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9
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Bungenberg J, Hohenfeld C, Costa AS, Heine J, Schwichtenberg K, Hartung T, Franke C, Binkofski F, Schulz JB, Finke C, Reetz K. Characteristic functional connectome related to Post-COVID-19 syndrome. Sci Rep 2024; 14:4997. [PMID: 38424415 PMCID: PMC10904373 DOI: 10.1038/s41598-024-54554-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 02/14/2024] [Indexed: 03/02/2024] Open
Abstract
Post-COVID-19 syndrome is a serious complication following SARS-CoV-2 infection, characterized primarily by fatigue and cognitive complaints. Although first metabolic and structural imaging alterations in Post-COVID-19 syndrome have been identified, their functional consequences remain unknown. Thus, we explored the impact of Post-COVID-19 syndrome on the functional connectome of the brain providing a deeper understanding of pathophysiological mechanisms. In a cross-sectional observational study, resting-state functional magnetic resonance imaging data of 66 patients with Post-COVID-19 syndrome after mild infection (mean age 42.3 years, 57 female) and 57 healthy controls (mean age 42.1 years, 38 female) with a mean time of seven months after acute COVID-19 were analysed using a graph theoretical approach. Network features were quantified using measures including mean distance, nodal degree, betweenness and Katz centrality, and compared between both groups. Graph measures were correlated with clinical measures quantifying fatigue, cognitive function, affective symptoms and sleep disturbances. Alterations were mainly found in the brainstem, olfactory cortex, cingulate cortex, thalamus and cerebellum on average seven months after SARS-CoV-2 infection. Additionally, strong correlations between fatigue severity, cognitive functioning and daytime sleepiness from clinical scales and graph measures were observed. Our study confirms functional relevance of brain imaging changes in Post-COVID-19 syndrome as mediating factors for persistent symptoms and improves our pathophysiological understanding.
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Affiliation(s)
- Julia Bungenberg
- Department of Neurology, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany
- JARA Brain Institute Molecular Neuroscience and Neuroimaging (INM-11), Research Centre Jülich and RWTH Aachen University, 52056, Aachen, Germany
| | - Christian Hohenfeld
- Department of Neurology, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany
- JARA Brain Institute Molecular Neuroscience and Neuroimaging (INM-11), Research Centre Jülich and RWTH Aachen University, 52056, Aachen, Germany
| | - Ana S Costa
- Department of Neurology, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany
- JARA Brain Institute Molecular Neuroscience and Neuroimaging (INM-11), Research Centre Jülich and RWTH Aachen University, 52056, Aachen, Germany
| | - Josephine Heine
- Department of Neurology, Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany
- Faculty of Philosophy, Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Katia Schwichtenberg
- Department of Neurology, Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany
- Faculty of Philosophy, Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Tim Hartung
- Department of Neurology, Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany
- Faculty of Philosophy, Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Christiana Franke
- Department of Neurology, Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany
- Faculty of Philosophy, Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Ferdinand Binkofski
- Department of Neurology, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany
- Division for Clinical Cognitive Sciences, Department of Neurology, RWTH Aachen University, 52074, Aachen, Germany
- Institute for Neuroscience and Medicine (INM-4), Research Center Jülich GmbH, 52425, Jülich, Germany
| | - Jörg B Schulz
- Department of Neurology, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany
- JARA Brain Institute Molecular Neuroscience and Neuroimaging (INM-11), Research Centre Jülich and RWTH Aachen University, 52056, Aachen, Germany
| | - Carsten Finke
- Department of Neurology, Charité-Universitätsmedizin Berlin, 10117, Berlin, Germany
- Faculty of Philosophy, Berlin School of Mind and Brain, Humboldt-Universität zu Berlin, 10117, Berlin, Germany
| | - Kathrin Reetz
- Department of Neurology, RWTH Aachen University, Pauwelsstraße 30, 52074, Aachen, Germany.
- JARA Brain Institute Molecular Neuroscience and Neuroimaging (INM-11), Research Centre Jülich and RWTH Aachen University, 52056, Aachen, Germany.
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10
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Zhang S, Yuan M, He D, Dang W, Zhang W. Long-term follow-up of brain regional changes and the association with cognitive impairment in quarantined COVID-19 survivors. Eur Arch Psychiatry Clin Neurosci 2024:10.1007/s00406-023-01741-4. [PMID: 38319396 DOI: 10.1007/s00406-023-01741-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 12/11/2023] [Indexed: 02/07/2024]
Abstract
OBJECTIVE This study aimed to evaluate the neuropsychiatric symptoms of quarantined COVID-19 survivors 15 months after discharge and explore its potential association with structural and functional brain changes and inflammation. METHODS A total of 51 quarantined COVID-19 survivors and 74 healthy controls were included in this study. Cognitive function was assessed using the THINC-integrated tool. Structural brain changes were examined through both surface- and volume-based analyses, and functional changes were assessed using resting-state amplitude low-frequency fluctuation (ALFF). Serum inflammatory markers were measured by a multiplexed flow cytometric assay. RESULTS COVID-19 survivors exhibited subjective cognitive decline compared to healthy controls, despite no significant differences in objective cognitive tasks. Structural analysis revealed significantly increased gray matter volume and cortical surface area in the left transverse temporal gyrus (Heschl's gyrus) in quarantined COVID-19 survivors. This enlargement was negatively correlated with cognitive impairment. The ALFF analysis showed decreased neural activity in multiple brain regions. Elevated levels of serum inflammatory markers were also found in COVID-19 survivors, including MIP-1a, MIP-1b, TNF-a, and IL-8, which correlated with functional abnormalities. CONCLUSIONS Our findings indicate a subjective cognitive decline in quarantined COVID-19 survivors 15 months after discharge, which is associated with brain structural alterations in the left Heschl's gyrus. The observed elevation of inflammatory markers suggests a potential mechanism involving inflammation-induced neurogenesis. These results contribute to our understanding of the possible mechanisms underlying long-term neuropsychiatric consequences of COVID-19 and highlight the need for further research to develop targeted interventions.
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Affiliation(s)
- Simai Zhang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, No. 37 Guoxue Street, Chengdu, 610041, China
- Med-X Center for Informatics, Sichuan University, Chengdu, 610041, China
| | - Minlan Yuan
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
| | - Danmei He
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Wen Dang
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, China
| | - Wei Zhang
- West China Biomedical Big Data Center, West China Hospital, Sichuan University, No. 37 Guoxue Street, Chengdu, 610041, China.
- Med-X Center for Informatics, Sichuan University, Chengdu, 610041, China.
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, 610041, China.
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11
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Castro J, Gigase FAJ, Molenaar NM, Ibroçi E, Perez-Rodriguez MM, Lieb W, Janevic T, de Witte LD, Bergink V, Rommel AS. Increased postpartum anxiety symptoms after perinatal SARS-CoV-2 infection in a large, prospective pregnancy cohort in New York City. J Psychiatr Res 2024; 170:130-137. [PMID: 38134722 PMCID: PMC10905645 DOI: 10.1016/j.jpsychires.2023.12.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 11/15/2023] [Accepted: 12/12/2023] [Indexed: 12/24/2023]
Abstract
Numerous studies reported an increase of postpartum mood symptoms during the COVID-19 pandemic. Yet, the link between severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and perinatal mental health is less well understood. We investigated the associations between prenatal SARS-CoV-2 infection and postpartum depressive and anxiety symptoms, including examinations of infection timing and pandemic timeline. We included 595 participants from Generation C, a prospective pregnancy cohort in New York City (2020-2022). Prenatal SARS-CoV-2 infection was determined via laboratory or medical diagnosis. Depression and anxiety symptoms were measured 4-12 weeks postpartum using the Edinburgh Postnatal Depression Scale (EPDS) and Generalized Anxiety Disorder questionnaire (GAD), respectively. Quantile regressions were conducted with prenatal SARS-CoV-2 infection as exposure and continuously measured EPDS and GAD scores as outcomes. We reran the analyses in those with COVID-19-like symptoms in the trimester during which infection occurred. 120 (20.1%) participants had prenatal SARS-CoV-2 infection. After adjusting for socio-demographic, obstetric and other maternal health factors, prenatal SARS-CoV-2 infection was associated with higher median postpartum anxiety scores (b = 0.55, 95% CI = 0.15; 0.96). Late gestation infection (b = 1.15, 95% CI = 0.22; 2.09) and symptomatic infection (b = 1.15, 95% CI = 0.12; 2.18) were also associated with higher median postpartum anxiety scores. No associations were found with depressive symptoms. The associations were not moderated by time since the start of the pandemic. This study suggests that prenatal SARS-CoV-2 infection increases the risk of postpartum anxiety symptoms among participants reporting median anxiety symptoms. Given that this association was not affected by pandemic timing and that SARS-CoV-2 transmission continues, individuals infected with SARS-CoV-2 during pregnancy should be monitored for postpartum anxiety symptoms.
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Affiliation(s)
- Juliana Castro
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
| | - Frederieke A J Gigase
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Department of Child and Adolescent Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands.
| | - Nina M Molenaar
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Department of Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands.
| | - Erona Ibroçi
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
| | | | - Whitney Lieb
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Blavatnik Family Women's Health Research Institute, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
| | - Teresa Janevic
- Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
| | - Lot D de Witte
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
| | - Veerle Bergink
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Department of Obstetrics, Gynecology and Reproductive Science, Icahn School of Medicine at Mount Sinai, New York City, NY, USA; Department of Psychiatry, Erasmus Medical Center, Rotterdam, the Netherlands.
| | - Anna-Sophie Rommel
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York City, NY, USA.
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12
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Wu L, Zhang Z, Liang X, Wang Y, Cao Y, Li M, Zhou F. Glymphatic system dysfunction in recovered patients with mild COVID-19: A DTI-ALPS study. iScience 2024; 27:108647. [PMID: 38155770 PMCID: PMC10753064 DOI: 10.1016/j.isci.2023.108647] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2023] [Revised: 10/07/2023] [Accepted: 12/04/2023] [Indexed: 12/30/2023] Open
Abstract
Central nervous sequelae are often reported in recovered patients with COVID-19. It is not clear whether recovered COVID-19 patients have glymphatic impairment and clinical correlation. In this study, we demonstrated that mild COVID-19 patients experienced asymmetric bilateral glymphatic function decline after four months of recovery, and the decrease in glymphatic function was more obvious in older recovered patients. Our results further showed that recovered patients with right-sided glymphatic dysfunction experienced a greater proportion of cognitive decline (MoCA score <26) than patients with left-sided glymphatic dysfunction. With COVID-19 infection over 90% of the general population currently, future studies of cognitive disorders in the older population should consider the impact of COVID-19 infection.
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Affiliation(s)
- Lin Wu
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, China
- Clinical Research Center For Medical Imaging, Nanchang, Jiangxi, China
| | - Zhi Zhang
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, China
- Clinical Research Center For Medical Imaging, Nanchang, Jiangxi, China
| | - Xiao Liang
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, China
- Clinical Research Center For Medical Imaging, Nanchang, Jiangxi, China
| | - Yao Wang
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, China
- Clinical Research Center For Medical Imaging, Nanchang, Jiangxi, China
| | - Yuan Cao
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
| | - Meng Li
- Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany
- Center for Intervention and Research on adaptive and maladaptive brain Circuits underlying mental health (C-I-R-C), Jena-Magdeburg-Halle, Germany
| | - Fuqing Zhou
- Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, Jiangxi, China
- Jiangxi Province Medical Imaging Research Institute, Nanchang, Jiangxi, China
- Clinical Research Center For Medical Imaging, Nanchang, Jiangxi, China
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13
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He Z, Li Y, Liu S, Li J. Mendelian randomization reveals no causal relationship between COVID-19 susceptibility, hospitalization, or severity and epilepsy. Epilepsia Open 2023; 8:1452-1459. [PMID: 37602490 PMCID: PMC10690698 DOI: 10.1002/epi4.12818] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2023] [Accepted: 08/16/2023] [Indexed: 08/22/2023] Open
Abstract
OBJECTIVE Observational studies have shown an association between COVID-19 and epilepsy. However, causality remains unproven. This study aimed to investigate the causative effect of genetically predicted COVID-19 phenotypes on epilepsy risk using a two-sample Mendelian randomization (MR) analysis. METHODS We retrieved summary-level datasets for three COVID-19 phenotypes (COVID-19 susceptibility, COVID-19 hospitalization, and COVID-19 severity) and epilepsy from the genome-wide association studies conducted by the COVID-19 Host Genetics Initiative (COVID-19 HGI) and International League Against Epilepsy (ILAE) consortium, respectively. To analyze the final results, nine MR analytic methods were utilized. The inverse-variance weighted (IVW) method was chosen as the primary approach for data analysis to evaluate the potential causal effect. Other MR analytic methods (MR-Egger regression, weighted median estimator, mode based-estimator, and MR-PRESSO) were used as a supplement to IVW to ensure the robustness of the results. RESULTS The IVW approach demonstrated no causal association between any genetically predicted COVID-19 phenotype and the risk of epilepsy [COVID-19 susceptibility: odds ratio (OR) = 0.99, 95% confidence interval (CI) = 0.86-1.14, p = 0.92; COVID-19 hospitalization: OR = 1.00, 95% CI = 0.96-1.04, p = 0.95; COVID-19 severity: OR = 0.99, 95% CI = 0.96-1.01, p = 0.25]. Other MR complementary methods revealed consistent results. Additionally, no evidence for heterogeneity and horizontal pleiotropy was found. SIGNIFICANCE This MR study revealed no genetically predicted causal relationship between COVID-19 phenotypes and epilepsy.
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Affiliation(s)
- Zihua He
- Department of Neurology, West China HospitalSichuan UniversityChengduChina
| | - Yinghong Li
- The Department of NeurologyInstitute of Traditional Chinese Medicine of Sichuan Academy of Chinese Medicine Sciences (Sichuan Second Hospital of T.C.M)ChengduChina
| | - Shengyi Liu
- Department of Neurology, West China HospitalSichuan UniversityChengduChina
| | - Jinmei Li
- Department of Neurology, West China HospitalSichuan UniversityChengduChina
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14
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Ding P, Xu R. Causal association of COVID-19 with brain structure changes: Findings from a non-overlapping 2-sample Mendelian randomization study. J Neurol Sci 2023; 454:120864. [PMID: 37925898 PMCID: PMC10872398 DOI: 10.1016/j.jns.2023.120864] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 10/24/2023] [Accepted: 10/29/2023] [Indexed: 11/07/2023]
Abstract
Recent cohort studies suggested that SARS-CoV-2 infection is associated with changes in brain structure. However, the potential causal relationship remains unclear. We performed a two-sample Mendelian randomization analysis to determine whether genetic susceptibility of COVID-19 is causally associated with changes in cortical and subcortical areas of the brain. This 2-sample MR (Mendelian Randomization) study is an instrumental variable analysis of data from the COVID-19 Host Genetics Initiative (HGI) meta-analyses round 5 excluding UK Biobank participants (COVID-19 infection, N = 1,348,701; COVID-19 severity, N = 1,557,411), the Enhancing NeuroImaging Genetics through Meta Analysis (ENIGMA) Global and regional cortical measures, N = 33,709; combined hemispheric subcortical volumes, N = 38,851), and UK Biobank (left/right subcortical volumes, N = 19,629). A replication analysis was performed on summary statistics from different COVID-19 GWAS study (COVID-19 infection, N = 80,932; COVID-19 severity, N = 72,733). We found that the genetic susceptibility of COVID-19 was not significantly associated with changes in brain structures, including cortical and subcortical brain structure. Similar results were observed for different (1) MR estimates, (2) COVID-19 GWAS summary statistics, and (3) definitions of COVID-19 infection and severity. This study suggests that the genetic susceptibility of COVID-19 is not causally associated with changes in cortical and subcortical brain structure.
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Affiliation(s)
- Pingjian Ding
- Center For Artificial Intelligence in Drug Discovery, Robbins Building Room 302A, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, United States of America.
| | - Rong Xu
- Center For Artificial Intelligence in Drug Discovery, Sears Tower T304, School of Medicine, Case Western Reserve University, 10900 Euclid Avenue, Cleveland, OH 44106, United States of America.
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15
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Beghi E, Ivashynka A, Logroscino G, de Oliveira FF, Fleisher JE, Dumitrascu OM, Patel R, Savica R, Kim YJ. Pitfalls and biases in neuroepidemiological studies of COVID-19 and the nervous system: a critical appraisal of the current evidence and future directions. J Neurol 2023; 270:5162-5170. [PMID: 37682315 DOI: 10.1007/s00415-023-11981-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/29/2023] [Accepted: 08/30/2023] [Indexed: 09/09/2023]
Abstract
BACKGROUND Neurological manifestations frequently occur in individuals with COVID-19, manifesting during the acute phase, persisting beyond the resolution of acute symptoms, and appearing days or weeks after the initial onset of COVID-19 symptoms. However, predicting the incidence, course, and outcome of these neurological manifestations at the individual patient level remains challenging. Biases in study design and limitations in data collection may contribute to the inconsistency and limited validity of the reported findings. Herein, we focused on critically appraising pitfalls and biases of prior reports and provide guidance for improving the quality and standardization of future research. Patients with COVID-19 exhibit diverse demographic features, sociocultural backgrounds, lifestyle habits, and comorbidities, all of which can influence the severity and progression of the infection and its impact on other organ systems. Overlooked or undocumented comorbidities and related treatments may contribute to neurological sequelae, which may not solely be attributable to COVID-19. It is crucial to consider the potential side effects of vaccines in relation to neurological manifestations. CONCLUSION To investigate neurological manifestations of COVID-19, it is essential to employ valid and reliable diagnostic criteria and standard definitions of the factors of interest. Although population-based studies are lacking, well-defined inception cohorts, including hospitalized individuals, outpatients, and community residents, can serve as valuable compromises. These cohorts should be evaluated for the presence of common comorbidities, alongside documenting the primary non-neurological manifestations of the infectious disease. Lastly, patients with COVID-19 should be followed beyond the acute phase to assess the persistence, duration, and severity of neurological symptoms, signs, or diseases.
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Affiliation(s)
- Ettore Beghi
- Department of Neuroscience, Istituto di Ricerch Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Andrei Ivashynka
- Department of Parkinson's Disease, Movement Disorders and Brain Injury Rehabilitation, "Moriggia-Pelascini" Hospital, Gravedona ed Uniti, Italy
| | - Giancarlo Logroscino
- Center for Neurodegenerative Diseases and the Aging Brain, Department of Clinical Research in Neurology, University of Bari "Aldo Moro" at "Pia Fondazione Card. G. Panico" Hospital Tricase, Lecce, Italy
| | | | - Jori E Fleisher
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
| | - Oana M Dumitrascu
- Departments of Neurology and Ophthalmology, Mayo Clinic, Scottsdale, AZ, USA
| | - Roshni Patel
- Department of Neurological Sciences, Rush University Medical Center, Chicago, IL, USA
- Neurology Service, Jesse Brown VA Medical Center, Chicago, IL, USA
| | - Rodolfo Savica
- Department of Neurology and Health Science Research, Mayo Clinic, Rochester, MN, USA
| | - Yun Jin Kim
- School of Traditional Chinese Medicine, Xiamen University Malaysia, Jalan Sunsuria, Bandar Sunsuria, 43900, Sepang, Selangor, Malaysia.
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16
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Su S, Zhao Y, Zeng N, Liu X, Zheng Y, Sun J, Zhong Y, Wu S, Ni S, Gong Y, Zhang Z, Gao N, Yuan K, Yan W, Shi L, Ravindran AV, Kosten T, Shi J, Bao Y, Lu L. Epidemiology, clinical presentation, pathophysiology, and management of long COVID: an update. Mol Psychiatry 2023; 28:4056-4069. [PMID: 37491461 DOI: 10.1038/s41380-023-02171-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 06/20/2023] [Accepted: 06/27/2023] [Indexed: 07/27/2023]
Abstract
The increasing number of coronavirus disease 2019 (COVID-19) infections have highlighted the long-term consequences of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection called long COVID. Although the concept and definition of long COVID are described differently across countries and institutions, there is general agreement that it affects multiple systems, including the immune, respiratory, cardiovascular, gastrointestinal, neuropsychological, musculoskeletal, and other systems. This review aims to provide a synthesis of published epidemiology, symptoms, and risk factors of long COVID. We also summarize potential pathophysiological mechanisms and biomarkers for precise prevention, early diagnosis, and accurate treatment of long COVID. Furthermore, we suggest evidence-based guidelines for the comprehensive evaluation and management of long COVID, involving treatment, health systems, health finance, public attitudes, and international cooperation, which is proposed to improve the treatment strategies, preventive measures, and public health policy making of long COVID.
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Affiliation(s)
- Sizhen Su
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yimiao Zhao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- Scholl of Public Health, Peking University, Beijing, China
| | - Na Zeng
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- Scholl of Public Health, Peking University, Beijing, China
| | - Xiaoxing Liu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Yongbo Zheng
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Jie Sun
- Pain Medicine Center, Peking University Third Hospital, Beijing, China
| | - Yi Zhong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Shuilin Wu
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- Scholl of Public Health, Peking University, Beijing, China
| | - Shuyu Ni
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
- Scholl of Public Health, Peking University, Beijing, China
| | - Yimiao Gong
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China
| | - Zhibo Zhang
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Nan Gao
- The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China
| | - Kai Yuan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Wei Yan
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Le Shi
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China
| | - Arun V Ravindran
- Department of Psychiatry, University of Toronto, Toronto, Canada
| | - Thomas Kosten
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
| | - Jie Shi
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China
| | - Yanping Bao
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China.
- Scholl of Public Health, Peking University, Beijing, China.
| | - Lin Lu
- Peking University Sixth Hospital, Peking University Institute of Mental Health, NHC Key Laboratory of Mental Health (Peking University), National Clinical Research Center for Mental Disorders (Peking University Sixth Hospital), Beijing, China.
- National Institute on Drug Dependence and Beijing Key Laboratory of Drug Dependence, Peking University, Beijing, China.
- Peking-Tsinghua Center for Life Sciences and PKU-IDG/McGovern Institute for Brain Research, Peking University, Beijing, China.
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17
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Li R, Liu G, Zhang X, Zhang M, Lu J, Li H. Altered intrinsic brain activity and functional connectivity in COVID-19 hospitalized patients at 6-month follow-up. BMC Infect Dis 2023; 23:521. [PMID: 37553613 PMCID: PMC10410836 DOI: 10.1186/s12879-023-08331-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2023] [Accepted: 05/15/2023] [Indexed: 08/10/2023] Open
Abstract
BACKGROUND Although most patients can recover from SARS-CoV-2 infection during the short-term, the long-term effects of COVID-19 on the brain remain explored. Functional MRI (fMRI) could potentially elucidate or otherwise contribute to the investigation of the long COVID syndrome. A lower fMRI response would be translated into decreased brain activity or delayed signal transferring reflecting decreased connectivity. This research aimed to investigate the long-term alterations in the local (regional) brain activity and remote (interregional) functional connection in recovered COVID-19. METHODS Thirty-five previously hospitalized COVID-19 patients underwent 3D T1weighed imaging and resting-state fMRI at 6-month follow-up, and 36 demographic-matched healthy controls (HCs) were recruited accordingly. The amplitude of low-frequency fluctuation (ALFF) and seed-based functional connectivity (FC) was used to assess the regional intrinsic brain activity and the influence of regional disturbances on FC with other brain regions. Spearman correlation analyses were performed to evaluate the association between brain function changes and clinical variables. RESULTS The incidence of neurosymptoms (6/35, 17.14%) decreased significantly at 6-month follow-up, compared with COVID-19 hospitalization stage (21/35, 60%). Compared with HCs, recovered COVID-19 exhibited higher ALFF in right precuneus, middle temporal gyrus, middle and inferior occipital gyrus, lower ALFF in right middle frontal gyrus and bilateral inferior temporal gyrus. Furthermore, setting seven abnormal activity regions as seeds, we found increased FC between right middle occipital gyrus and left inferior occipital gyrus, and reduced FC between right inferior occipital gyrus and right inferior temporal gyrus/bilateral fusiform gyrus, and between right middle frontal gyrus and right middle frontal gyrus/ supplementary motor cortex/ precuneus. Additionally, abnormal ALFF and FC were associated with clinical variables. CONCLUSIONS COVID-19 related neurological symptoms can self heal over time. Recovered COVID-19 presented functional alterations in right frontal, temporal and occipital lobe at 6-month follow-up. Most regional disturbances in ALFF were related to the weakening of short-range regional interactions in the same brain function.
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Affiliation(s)
- Ruili Li
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, No.8 Xi Tou Tiao Youanmen Wai, Fengtai District, Beijing, 100069, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, 100053, China
| | - Guangxue Liu
- Department of Natural Medicines, School of Pharmaceutical Sciences, Peking University Health Science Center, Beijing, 100191, China
| | - Xiaodong Zhang
- Department of Radiology, Tianjin First Central Hospital, Nankai University, Tianjin, 300192, China
| | - Miao Zhang
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, 100053, China
| | - Jie Lu
- Department of Radiology and Nuclear Medicine, Xuanwu Hospital, Capital Medical University, No.45 Changchun Street, Xicheng District, Beijing, 100053, China.
- Beijing Key Laboratory of Magnetic Resonance Imaging and Brain Informatics, Beijing, 100053, China.
| | - Hongjun Li
- Department of Radiology, Beijing Youan Hospital, Capital Medical University, No.8 Xi Tou Tiao Youanmen Wai, Fengtai District, Beijing, 100069, China.
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18
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Díez-Cirarda M, Yus-Fuertes M, Sanchez-Sanchez R, Gonzalez-Rosa JJ, Gonzalez-Escamilla G, Gil-Martínez L, Delgado-Alonso C, Gil-Moreno MJ, Valles-Salgado M, Cano-Cano F, Ojeda-Hernandez D, Gomez-Ruiz N, Oliver-Mas S, Benito-Martín MS, Jorquera M, de la Fuente S, Polidura C, Selma-Calvo B, Arrazola J, Matias-Guiu J, Gomez-Pinedo U, Matias-Guiu JA. Hippocampal subfield abnormalities and biomarkers of pathologic brain changes: from SARS-CoV-2 acute infection to post-COVID syndrome. EBioMedicine 2023; 94:104711. [PMID: 37453364 PMCID: PMC10366393 DOI: 10.1016/j.ebiom.2023.104711] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/28/2023] [Accepted: 06/28/2023] [Indexed: 07/18/2023] Open
Abstract
BACKGROUND Cognitive deficits are among the main disabling symptoms in COVID-19 patients and post-COVID syndrome (PCS). Within brain regions, the hippocampus, a key region for cognition, has shown vulnerability to SARS-CoV-2 infection. Therefore, in vivo detailed evaluation of hippocampal changes in PCS patients, validated on post-mortem samples of COVID-19 patients at the acute phase, would shed light into the relationship between COVID-19 and cognition. METHODS Hippocampal subfields volume, microstructure, and perfusion were evaluated in 84 PCS patients and compared to 33 controls. Associations with blood biomarkers, including glial fibrillary acidic protein (GFAP), myelin oligodendrocyte glycoprotein (MOG), eotaxin-1 (CCL11) and neurofilament light chain (NfL) were evaluated. Besides, biomarker immunodetection in seven hippocampal necropsies of patients at the acute phase were contrasted against eight controls. FINDINGS In vivo analyses revealed that hippocampal grey matter atrophy is accompanied by altered microstructural integrity, hypoperfusion, and functional connectivity changes in PCS patients. Hippocampal structural and functional alterations were related to cognitive dysfunction, particularly attention and memory. GFAP, MOG, CCL11 and NfL biomarkers revealed alterations in PCS, and showed associations with hippocampal volume changes, in selective hippocampal subfields. Moreover, post mortem histology showed the presence of increased GFAP and CCL11 and reduced MOG concentrations in the hippocampus in post-mortem samples at the acute phase. INTERPRETATION The current results evidenced that PCS patients with cognitive sequalae present brain alterations related to cognitive dysfunction, accompanied by a cascade of pathological alterations in blood biomarkers, indicating axonal damage, astrocyte alterations, neuronal injury, and myelin changes that are already present from the acute phase. FUNDING Nominative Grant FIBHCSC 2020 COVID-19. Department of Health, Community of Madrid. Instituto de Salud Carlos III through the project INT20/00079, co-funded by European Regional Development Fund "A way to make Europe" (JAMG). Instituto de Salud Carlos III (ISCIII) through Sara Borrell postdoctoral fellowship Grant No. CD22/00043) and co-funded by the European Union (MDC). Instituto de Salud Carlos III through a predoctoral contract (FI20/000145) (co-funded by European Regional Development Fund "A way to make Europe") (MVS). Fundación para el Conocimiento Madri+d through the project G63-HEALTHSTARPLUS-HSP4 (JAMG, SOM).
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Affiliation(s)
- Maria Díez-Cirarda
- Department of Neurology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain.
| | - Miguel Yus-Fuertes
- Department of Radiology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | | | - Javier J Gonzalez-Rosa
- Institute of Research and Biomedical Innovation of Cadiz (INiBICA), Cadiz 11009, Spain; Department of Psychology, University of Cadiz, Cadiz 11003, Spain
| | - Gabriel Gonzalez-Escamilla
- Department of Neurology, Focus Program Translational Neuroscience (FTN), University Medical Center of the Johannes Gutenberg, University Mainz, Mainz, Germany
| | - Lidia Gil-Martínez
- Department of Radiology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Cristina Delgado-Alonso
- Department of Neurology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Maria Jose Gil-Moreno
- Department of Neurology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Maria Valles-Salgado
- Department of Neurology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Fatima Cano-Cano
- Institute of Research and Biomedical Innovation of Cadiz (INiBICA), Cadiz 11009, Spain
| | - Denise Ojeda-Hernandez
- Department of Neurology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Natividad Gomez-Ruiz
- Department of Radiology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Silvia Oliver-Mas
- Department of Neurology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - María Soledad Benito-Martín
- Department of Neurology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Manuela Jorquera
- Department of Radiology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Sarah de la Fuente
- Department of Neurology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Carmen Polidura
- Department of Radiology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Belén Selma-Calvo
- Department of Neurology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Juan Arrazola
- Department of Radiology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Jorge Matias-Guiu
- Department of Neurology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Ulises Gomez-Pinedo
- Department of Neurology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain
| | - Jordi A Matias-Guiu
- Department of Neurology, Hospital Clínico San Carlos, "San Carlos" Health Research Institute (IdISCC), Universidad Complutense de Madrid, Madrid, Spain.
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19
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Li C, Verduzco-Gutierrez M. Neurologic and Neuromuscular Sequelae of COVID-19. Phys Med Rehabil Clin N Am 2023; 34:539-549. [PMID: 37419530 DOI: 10.1016/j.pmr.2023.04.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2023]
Abstract
It is known that there can be neurologic complications related to acute infection with SARS-CoV-2, the virus that causes COVID-19. Currently, there is a growing body of evidence that postacute sequelae of SARS-CoV-2 infection can manifest as neurologic sequelae as a result of direct neuroinvasion, autoimmunity, and possibly lead to chronic neurodegenerative processes. Certain complications can be associated with worse prognosis, lower functional outcome, and higher mortality. This article provides an overview of the known pathophysiology, symptoms presentation, complications and treatment approaches of the post-acute neurologic and neuromuscular sequelae of SARS-CoV-2 infection.
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Affiliation(s)
- Carol Li
- Department of Rehabilitation Medicine, Long School of Medicine at University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, MC 7798, San Antonio, TX 78229, USA; Polytrauma Outpatient Neurorehabilitation Services, Audie L. Murphy VA Medical Center; Polytrauma Rehabilitation Center, P168, 7400 Merton Minter, San Antonio, TX 78229, USA.
| | - Monica Verduzco-Gutierrez
- Department of Rehabilitation Medicine, Long School of Medicine at University of Texas Health Science Center at San Antonio, 7703 Floyd Curl Drive, MC 7798, San Antonio, TX 78229, USA
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20
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Ding P, Xu R. Causal association of COVID-19 with brain structure changes: Findings from a non-overlapping 2-sample Mendelian randomization study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.07.16.23292735. [PMID: 37502838 PMCID: PMC10371182 DOI: 10.1101/2023.07.16.23292735] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Recent cohort studies suggested that SARS-CoV-2 infection is associated with changes in brain structure. However, the potential causal relationship remains unclear. We performed a two-sample Mendelian randomization analysis to determine whether genetic susceptibility of COVID-19 is causally associated with changes in cortical and subcortical areas of the brain. This 2-sample MR (Mendelian Randomization) study is an instrumental variable analysis of data from the COVID-19 Host Genetics Initiative (HGI) meta-analyses round 5 excluding UK Biobank participants (COVID-19 infection, N=1,348,701; COVID-19 severity, N=1,557,411), the Enhancing NeuroImaging Genetics through Meta Analysis (ENIGMA) Global and regional cortical measures, N=33,709; combined hemispheric subcortical volumes, N=38,851), and UK Biobank (left/right subcortical volumes, N=19,629). A replication analysis was performed on summary statistics from different COVID-19 GWAS study (COVID-19 infection, N=80,932; COVID-19 severity, N=72,733). We found that the genetic susceptibility of COVID-19 was not significantly associated with changes in brain structures, including cortical and subcortical brain structure. Similar results were observed for different (1) MR estimates, (2) COVID-19 GWAS summary statistics, and (3) definitions of COVID-19 infection and severity. This study suggests that the genetic susceptibility of COVID-19 is not causally associated with changes in cortical and subcortical brain structure.
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21
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Komaroff AL, Lipkin WI. ME/CFS and Long COVID share similar symptoms and biological abnormalities: road map to the literature. Front Med (Lausanne) 2023; 10:1187163. [PMID: 37342500 PMCID: PMC10278546 DOI: 10.3389/fmed.2023.1187163] [Citation(s) in RCA: 67] [Impact Index Per Article: 67.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/15/2023] [Accepted: 05/09/2023] [Indexed: 06/23/2023] Open
Abstract
Some patients remain unwell for months after "recovering" from acute COVID-19. They develop persistent fatigue, cognitive problems, headaches, disrupted sleep, myalgias and arthralgias, post-exertional malaise, orthostatic intolerance and other symptoms that greatly interfere with their ability to function and that can leave some people housebound and disabled. The illness (Long COVID) is similar to myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) as well as to persisting illnesses that can follow a wide variety of other infectious agents and following major traumatic injury. Together, these illnesses are projected to cost the U.S. trillions of dollars. In this review, we first compare the symptoms of ME/CFS and Long COVID, noting the considerable similarities and the few differences. We then compare in extensive detail the underlying pathophysiology of these two conditions, focusing on abnormalities of the central and autonomic nervous system, lungs, heart, vasculature, immune system, gut microbiome, energy metabolism and redox balance. This comparison highlights how strong the evidence is for each abnormality, in each illness, and helps to set priorities for future investigation. The review provides a current road map to the extensive literature on the underlying biology of both illnesses.
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Affiliation(s)
- Anthony L. Komaroff
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - W. Ian Lipkin
- Center for Infection and Immunity, Mailman School of Public Health, Vagelos College of Physicians and Surgeons of Columbia University, New York, NY, United States
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22
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Kenny G, Townsend L, Savinelli S, Mallon PWG. Long COVID: Clinical characteristics, proposed pathogenesis and potential therapeutic targets. Front Mol Biosci 2023; 10:1157651. [PMID: 37179568 PMCID: PMC10171433 DOI: 10.3389/fmolb.2023.1157651] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Accepted: 04/04/2023] [Indexed: 05/15/2023] Open
Abstract
The emergence of persistent ill-health in the aftermath of SARS-CoV-2 infection has presented significant challenges to patients, healthcare workers and researchers. Termed long COVID, or post-acute sequelae of COVID-19 (PASC), the symptoms of this condition are highly variable and span multiple body systems. The underlying pathophysiology remains poorly understood, with no therapeutic agents proven to be effective. This narrative review describes predominant clinical features and phenotypes of long COVID alongside the data supporting potential pathogenesis of these phenotypes including ongoing immune dysregulation, viral persistence, endotheliopathy, gastrointestinal microbiome disturbance, autoimmunity, and dysautonomia. Finally, we describe current potential therapies under investigation, as well as future potential therapeutic options based on the proposed pathogenesis research.
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Affiliation(s)
- Grace Kenny
- Centre for Experimental Pathogen Host Research, University College Dublin, Dublin, Ireland
- Department of Infectious Diseases, St Vincent’s University Hospital, Dublin, Ireland
| | - Liam Townsend
- Department of Infectious Diseases, St Vincent’s University Hospital, Dublin, Ireland
| | - Stefano Savinelli
- Centre for Experimental Pathogen Host Research, University College Dublin, Dublin, Ireland
- Department of Infectious Diseases, St Vincent’s University Hospital, Dublin, Ireland
| | - Patrick W. G. Mallon
- Centre for Experimental Pathogen Host Research, University College Dublin, Dublin, Ireland
- Department of Infectious Diseases, St Vincent’s University Hospital, Dublin, Ireland
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23
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Deters JR, Fietsam AC, Gander PE, Boles Ponto LL, Rudroff T. Effect of Post-COVID-19 on Brain Volume and Glucose Metabolism: Influence of Time Since Infection and Fatigue Status. Brain Sci 2023; 13:brainsci13040675. [PMID: 37190640 DOI: 10.3390/brainsci13040675] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 03/23/2023] [Accepted: 04/15/2023] [Indexed: 05/17/2023] Open
Abstract
Post-COVID-19 syndrome (PCS) fatigue is typically most severe <6 months post-infection. Combining magnetic resonance imaging (MRI) and positron emission tomography (PET) imaging with the glucose analog [18F]-Fluorodeoxyglucose (FDG) provides a comprehensive overview of the effects of PCS on regional brain volumes and metabolism, respectively. The primary purpose of this exploratory study was to investigate differences in MRI/PET outcomes between people < 6 months (N = 18, 11 female) and > 6 months (N = 15, 6 female) after COVID-19. The secondary purpose was to assess if any differences in MRI/PET outcomes were associated with fatigue symptoms. Subjects > 6 months showed smaller volumes in the putamen, pallidum, and thalamus compared to subjects < 6 months. In subjects > 6 months, fatigued subjects had smaller volumes in frontal areas compared to non-fatigued subjects. Moreover, worse fatigue was associated with smaller volumes in several frontal areas in subjects > 6 months. The results revealed no brain metabolism differences between subjects > 6 and < 6 months. However, both groups exhibited both regional hypo- and hypermetabolism compared to a normative database. These results suggest that PCS may alter regional brain volumes but not metabolism in people > 6 months, particularly those experiencing fatigue symptoms.
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Affiliation(s)
- Justin R Deters
- Department of Health and Human Physiology, University of Iowa, Iowa City, IA 52242, USA
| | - Alexandra C Fietsam
- Department of Health and Human Physiology, University of Iowa, Iowa City, IA 52242, USA
| | - Phillip E Gander
- Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - Laura L Boles Ponto
- Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA 52242, USA
| | - Thorsten Rudroff
- Department of Health and Human Physiology, University of Iowa, Iowa City, IA 52242, USA
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24
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Yan MZ, Yang M, Lai CL. Post-COVID-19 Syndrome Comprehensive Assessment: From Clinical Diagnosis to Imaging and Biochemical-Guided Diagnosis and Management. Viruses 2023; 15:v15020533. [PMID: 36851746 PMCID: PMC9964207 DOI: 10.3390/v15020533] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/12/2022] [Revised: 02/04/2023] [Accepted: 02/05/2023] [Indexed: 02/17/2023] Open
Abstract
The COVID-19 outbreak was first reported in 2019, causing massive morbidity and mortality. The majority of the COVID-19 patients survived and developed Post-COVID-19 Syndrome (PC19S) of varying severity. Currently, the diagnosis of PC19S is achieved through history and symptomatology that cannot be explained by an alternative diagnosis. However, the heavy reliance on subjective reporting is prone to reporting errors. Besides, there is no unified diagnostic assessment tool to classify the clinical severity of patients. This leads to significant difficulties when managing patients in terms of public resource utilization, clinical progression monitorization and rehabilitation plan formulation. This narrative review aims to review current evidence of diagnosis based on triple assessment: clinical symptomatology, biochemical analysis and imaging evidence. Further assessment tools can be developed based on triple assessment to monitor patient's clinical progression, prognosis and intervals of monitoring. It also highlights the high-risk features of patients for closer and earlier monitoring. Rehabilitation programs and related clinical trials are evaluated; however, most of them focus on cardiorespiratory fitness and psychiatric presentations such as anxiety and depression. Further research is required to establish an objective and comprehensive assessment tool to facilitate clinical management and rehabilitation plans.
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Affiliation(s)
- Michael Zhipeng Yan
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China
- Correspondence: (M.Z.Y.); (C.-L.L.)
| | - Ming Yang
- Department of Ophthalmology, The University of Hong Kong, Hong Kong SAR, China
| | - Ching-Lung Lai
- Department of Medicine, The University of Hong Kong, Queen Mary Hospital, Hong Kong SAR, China
- Correspondence: (M.Z.Y.); (C.-L.L.)
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25
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Du Y, Zhao W, Huang S, Huang Y, Chen Y, Zhang H, Guo H, Liu J. Two-year follow-up of brain structural changes in patients who recovered from COVID-19: A prospective study. Psychiatry Res 2023; 319:114969. [PMID: 36462292 PMCID: PMC9684092 DOI: 10.1016/j.psychres.2022.114969] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Revised: 11/08/2022] [Accepted: 11/18/2022] [Indexed: 11/25/2022]
Abstract
The long-term effects of COVID-19 on brain structure remain unclear. A prospective study was conducted to explore the changes in brain structure in COVID-19 survivors at one and two years after discharge (COVID-19one, COVID-19two). The difference in gray matter volume (GMV) was analyzed using the voxel-based morphometry method, and correlation analyses were conducted. The dynamic changes in clinical sequelae varied. The GMVs in the cerebellum and vermis were reduced in COVID-19one and COVID-19two, positively correlated with lymphocyte count, and negatively correlated with neutrophil count, neutrophil/lymphocyte ratio (COVID-19one), and systemic immune-inflammation index (COVID-19two). The decreased GMVs in the left middle frontal gyrus, inferior frontal gyrus of the operculum, right middle temporal gyrus, and inferior temporal gyrus returned to normal in COVID-19two. The decreased GMV in the left frontal lobe was negatively correlated with the Athens Insomnia Scale (AIS). The GMV in the left temporal lobe was aggravated in COVID-19two and positively correlated with C-reactive protein. In conclusion, GMV recovery coexisted with injury, which was associated with AIS and inflammatory factors. This may shed some light on the dynamic changes in brain structure and the possible predictors that may be related to GMV changes in COVID-19two.
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Affiliation(s)
- Yanyao Du
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan Province 410011, China
| | - Wei Zhao
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan Province 410011, China; Clinical Research Center for Medical Imaging in Hunan Province, Changsha, Hunan 410011, China; Department of Radiology Quality Control Center, Changsha, Hunan Province 410011, China
| | - Sihong Huang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan Province 410011, China
| | - Yijie Huang
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan Province 410011, China
| | - Yanjing Chen
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan Province 410011, China
| | - Huiting Zhang
- MR Scientific Marketing, Siemens Healthineers Ltd., Wuhan 430000, China
| | - Hu Guo
- MR Application, Siemens Healthineers Ltd., Changsha 410011, China
| | - Jun Liu
- Department of Radiology, Second Xiangya Hospital of Central South University, Changsha, Hunan Province 410011, China; Clinical Research Center for Medical Imaging in Hunan Province, Changsha, Hunan 410011, China; Department of Radiology Quality Control Center, Changsha, Hunan Province 410011, China.
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26
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Huang S, Zhou X, Zhao W, Du Y, Yang D, Huang Y, Chen Y, Zhang H, Yang G, Liu J, Luo H. Dynamic white matter changes in recovered COVID-19 patients: a two-year follow-up study. Theranostics 2023; 13:724-735. [PMID: 36632218 PMCID: PMC9830428 DOI: 10.7150/thno.79902] [Citation(s) in RCA: 16] [Impact Index Per Article: 16.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2022] [Accepted: 12/16/2022] [Indexed: 01/06/2023] Open
Abstract
Background and purpose: Long COVID with regard to the neurological system deserves more attention, as a surge of treated patients are being discharged from the hospital. As the dynamic changes in white matter after two years remain unknown, this characteristic was the focus of this study. Methods: We investigated 17 recovered COVID-19 patients at two years after discharge. Diffusion tensor imaging, neurite orientation dispersion and density imaging were performed to identify white matter integrity and changes from one to two years after discharge. Data for 13 revisited healthy controls were collected as a reference. Subscales of the Wechsler Intelligence scale were used to assess cognitive function. Repeated-measures ANOVA was used to detect longitudinal changes in 17 recovered COVID-19 patients and 13 healthy controls after one-year follow-up. Correlations between diffusion metrics, cognitive function, and other clinical characteristics (i.e., inflammatory factors) were also analyzed. Results: Longitudinal analysis showed the recovery trends of large-scale brain regions, with small-scale brain region deterioration from one year to two years after SARS-CoV-2 infection. However, persistent white matter abnormalities were noted at two years after discharge. Longitudinal changes of cognitive function showed no group difference. But cross-sectional cognitive difference between recovered COVID-19 patients and revisited HCs was detected. Inflammation levels in the acute stage correlated positively with white matter abnormalities and negatively with cognitive function. Moreover, the more abnormal the white matter was at two years, the greater was the cognitive deficit present. Conclusion: Recovered COVID-19 patients showed longitudinal recovery trends of white matter. But also had persistent white matter abnormalities at two years after discharge. Inflammation levels in the acute stage may be considered predictors of cognition and white matter integrity, and the white matter microstructure acts as a biomarker of cognitive function in recovered COVID-19 patients. These findings provide an objective basis for early clinical intervention.
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Affiliation(s)
- Sihong Huang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Xianglin Zhou
- Department of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410005, China
| | - Wei Zhao
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Yanyao Du
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Danhui Yang
- Department of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410005, China
| | - Yijie Huang
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Yanjing Chen
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China
| | - Huiting Zhang
- MR Scientific Marketing, Siemens Healthcare Ltd., Wuhan, China
| | - Guang Yang
- Shanghai Key Laboratory of Magnetic Resonance, East China Normal University, Shanghai, China
| | - Jun Liu
- Department of Radiology, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China,Clinical Research Center for Medical Imaging in Hunan Province, Changsha, Hunan 410011, China,Department of Radiology Quality Control Center, Hunan Province, Changsha, Hunan 410011, China,✉ Corresponding authors: Jun Liu, No. 139 Renmin Middle Road, Furong district, Changsha, Hunan, China, and Hong Luo, No. 139 Renmin Middle Road, Furong district, Changsha, Hunan, China,
| | - Hong Luo
- Department of Respiratory Medicine, The Second Xiangya Hospital, Central South University, Changsha, Hunan 410005, China,Department of Pulmonary and Critical Care Medicine, the Second Xiangya Hospital, Central South University, Changsha, Hunan 410011, China,Hunan Diagnosis and Treatment Center of Respiratory Disease, Changsha, Hunan 410011, China,✉ Corresponding authors: Jun Liu, No. 139 Renmin Middle Road, Furong district, Changsha, Hunan, China, and Hong Luo, No. 139 Renmin Middle Road, Furong district, Changsha, Hunan, China,
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27
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Shan D, Li S, Xu R, Nie G, Xie Y, Han J, Gao X, Zheng Y, Xu Z, Dai Z. Post-COVID-19 human memory impairment: A PRISMA-based systematic review of evidence from brain imaging studies. Front Aging Neurosci 2022; 14:1077384. [PMID: 36570532 PMCID: PMC9780393 DOI: 10.3389/fnagi.2022.1077384] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2022] [Accepted: 11/30/2022] [Indexed: 12/14/2022] Open
Abstract
Many people with coronavirus disease 2019 (COVID-19) report varying degrees of memory impairment. Neuroimaging techniques such as MRI and PET have been utilized to shed light on how COVID-19 affects brain function in humans, including memory dysfunction. In this PRISMA-based systematic review, we compared and summarized the current literature looking at the relationship between COVID-19-induced neuropathological changes by neuroimaging scans and memory symptoms experienced by patients who recovered from COVID-19. Overall, this review suggests a correlational trend between structural abnormalities (e.g., cortical atrophy and white matter hyperintensities) or functional abnormalities (e.g., hypometabolism) in a wide range of brain regions (particularly in the frontal, parietal and temporal regions) and memory impairments in COVID-19 survivors, although a causal relationship between them remains elusive in the absence of sufficient caution. Further longitudinal investigations, particularly controlled studies combined with correlational analyses, are needed to provide additional evidence.
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Affiliation(s)
- Dan Shan
- Department of Biobehavioral Sciences, Columbia University, New York, NY, United States
| | - Shaoyang Li
- Faculty of Science, The Hong Kong Polytechnic University, Kowloon, Hong Kong SAR, China
| | - Ruichen Xu
- Department of Integrative Biology, University of Wisconsin-Madison, Madison, WI, United States
| | - Glen Nie
- Department of Biological Science, Northeastern University, Boston, MA, United States
| | - Yangyiran Xie
- School of Medicine, Vanderbilt University, Nashville, TN, United States
| | - Junchu Han
- New York State Psychiatric Institute, Global Psychiatric Epidemiology Group, New York, NY, United States
| | - Xiaoyi Gao
- School of Medicine, Saint Louis University, St. Louis, MO, United States
| | - Yuandian Zheng
- Department of Biobehavioral Sciences, Columbia University, New York, NY, United States
| | - Zhen Xu
- Minhang Crosspoint Academy at Shanghai Wenqi Middle School, Shanghai, China
| | - Zhihao Dai
- School of Medicine, Royal College of Surgeons in Ireland, University of Medicine and Health Sciences, Dublin, Ireland
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28
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Psychiatric and neurological complications of long COVID. J Psychiatr Res 2022; 156:349-360. [PMID: 36326545 PMCID: PMC9582925 DOI: 10.1016/j.jpsychires.2022.10.045] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/17/2022] [Revised: 08/23/2022] [Accepted: 10/17/2022] [Indexed: 11/05/2022]
Abstract
COVID-19 was primarily considered a pulmonary disease with extrapulmonary manifestations. As the pandemic spread, there has been growing evidence that the disease affects various organs/systems, including the central and peripheral nervous systems. Accumulation of clinical data demonstrates that in a large population of survivors impairments in the function of one or more organs may persist for a long time, a phenomenon commonly known as post COVID or long COVID. Fatigue and cognitive dysfunction, such as concentration problems, short-term memory deficits, general memory loss, a specific decline in attention, language and praxis abilities, encoding and verbal fluency, impairment of executive functions, and psychomotor coordination, are amongst the most common and debilitating features of neuropsychatric symptoms of post COVID syndrome. Several patients also suffer from compromised sleep, depression, anxiety and post-traumatic stress disorder. Patients with long COVID may demonstrate brain hypometabolism, hypoperfusion of the cerebral cortex and changes in the brain structure and functional connectivity. Children and adolescents represent a minority of COVID-19 cases, so not surprisingly data on the long-term sequelae after SARS-CoV-2 infections in these age groups are scarce. Although the pathogenesis, clinical characteristics, epidemiology, and risk factors of the acute phase of COVID-19 have been largely explained, these areas are yet to be explored in long COVID. This review aims to provide an update on what is currently known about long COVID effects on mental health.
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29
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Heller O, Chun Y, Shapira S, Troen A, Shlomo Y, Acri M, Marotta P, Kulkarni S, Kinnison B, Grinstein-Weiss M. Prevalence of Long-COVID Among Low-Income and Marginalized Groups: Evidence From Israel. Int J Public Health 2022; 67:1605086. [PMID: 36518871 PMCID: PMC9742204 DOI: 10.3389/ijph.2022.1605086] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2022] [Accepted: 11/16/2022] [Indexed: 12/11/2023] Open
Abstract
Objective: To identify the socioeconomic and demographic factors associated with the prevalence of self-reported long-COVID symptoms. Method: We examined the association between acute-COVID (SARS-CoV-2) and long-COVID symptoms, by a cross-sectional analysis of data obtained on a prospective online-survey, conducted from November to December 2021 on a nationally-representative sample of the Israeli population (N = 2,246). Results: Findings suggest that there is a greater likelihood of experiencing long-COVID symptoms among low-income and among marginalized groups. After controlling for demographic and socioeconomic attributes, those who had moderate/severe acute-COVID were 1.3 (p < 0.05) times more likely to experience a long-term symptom and also reported more long-term symptoms (2.2 symptoms) than those who have not been infected (1.4 symptoms; p < 0.01). Among the low-income group, a larger gap in symptom count was found between those who had moderate/severe acute-COVID (3.3 symptoms) and those who had not been infected (1.8 symptoms, p < 0.05). Conclusion: Our findings highlight the importance of raising awareness of long-COVID among marginalized population groups, and to the therapeutic options available. Such efforts should be tailored and should consider the unique socioeconomic and cultural characteristics, as well as the preexisting low access to healthcare services among these groups.
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Affiliation(s)
- Oren Heller
- Washington University in St. Louis—Social Policy Institute (SPI), St. Louis, MO, United States
| | - Yung Chun
- Washington University in St. Louis—Social Policy Institute (SPI), St. Louis, MO, United States
| | - Stav Shapira
- School of Public Health, Faculty of Health Sciences, Ben-Gurion University of the Negev, Be’er-sheva, Israel
| | - Aron Troen
- The School of Nutrition Science, The Institute of Biochemistry Food Science and Nutrition, The Robert H. Smith Faculty of Agriculture Food and Environment, The Hebrew University of Jerusalem, Rehovot, Israel
| | - Yaniv Shlomo
- Washington University in St. Louis—Social Policy Institute (SPI), St. Louis, MO, United States
| | - Mary Acri
- Washington University in St. Louis—Social Policy Institute (SPI), St. Louis, MO, United States
| | - Phillip Marotta
- Washington University in St. Louis—Social Policy Institute (SPI), St. Louis, MO, United States
- Washington University in St. Louis—George Warren Brown School of Social Work, St. Louis, MO, United States
| | | | | | - Michal Grinstein-Weiss
- Washington University in St. Louis—Social Policy Institute (SPI), St. Louis, MO, United States
- Washington University in St. Louis—George Warren Brown School of Social Work, St. Louis, MO, United States
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30
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Role of Demyelination in the Persistence of Neurological and Mental Impairments after COVID-19. Int J Mol Sci 2022; 23:ijms231911291. [PMID: 36232592 PMCID: PMC9569975 DOI: 10.3390/ijms231911291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/16/2022] [Accepted: 09/21/2022] [Indexed: 11/16/2022] Open
Abstract
Long-term neurological and mental complications of COVID-19, the so-called post-COVID syndrome or long COVID, affect the quality of life. The most persistent manifestations of long COVID include fatigue, anosmia/hyposmia, insomnia, depression/anxiety, and memory/attention deficits. The physiological basis of neurological and psychiatric disorders is still poorly understood. This review summarizes the current knowledge of neurological sequelae in post-COVID patients and discusses brain demyelination as a possible mechanism of these complications with a focus on neuroimaging findings. Numerous reviews, experimental and theoretical studies consider brain demyelination as one of the mechanisms of the central neural system impairment. Several factors might cause demyelination, such as inflammation, direct effect of the virus on oligodendrocytes, and cerebrovascular disorders, inducing myelin damage. There is a contradiction between the solid fundamental basis underlying demyelination as the mechanism of the neurological injuries and relatively little published clinical evidence related to demyelination in COVID-19 patients. The reason for this probably lies in the fact that most clinical studies used conventional MRI techniques, which can detect only large, clearly visible demyelinating lesions. A very limited number of studies use specific methods for myelin quantification detected changes in the white matter tracts 3 and 10 months after the acute phase of COVID-19. Future research applying quantitative MRI assessment of myelin in combination with neurological and psychological studies will help in understanding the mechanisms of post-COVID complications associated with demyelination.
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31
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Teo WP, Goodwill AM. Can exercise attenuate the negative effects of long COVID syndrome on brain health? Front Immunol 2022; 13:986950. [PMID: 36189287 PMCID: PMC9523009 DOI: 10.3389/fimmu.2022.986950] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 08/31/2022] [Indexed: 11/28/2022] Open
Abstract
The impetus for many governments globally to treat the novel coronavirus (COVID-19) as an endemic warrant more research into the prevention, and management of long COVID syndrome (LCS). Whilst the data on LCS remains scarce, reports suggest a large proportion of recovered individuals will experience ongoing neuropsychological symptoms, even with mild disease severity. The pathophysiology underlying LCS is multifaceted. Evidence suggests that altered inflammatory, neurotrophic, and neurotransmitter pathways within the brain contribute to neuropsychological symptoms reported following COVID-19. Exercise or regular physical activity has long been shown to have positive effects on brain health and cognition through exerting positive effects on inflammatory markers, neurotransmitters, and neurotropic factors analogous to the neurophysiological pathways proposed to be disrupted by COVID-19 infection. Thus, exercise may serve as an important lifestyle behavior in the management of LCS. In this opinion article, we present the evidence to support the positive role of exercise in the management of cognitive symptom that manifest with LCS and discuss important considerations and interactions with cardiorespiratory and exercise tolerance complications that often present for individuals experiencing LCS. We highlight the need for more research and training of sports medicine practitioners and clinical exercise physiologists in the management of LCS with exercise and call for further research to understand the optimal dose-responses and exercise prescription guidelines for cognitive benefits and minimizing other complications.
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32
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Ameratunga R, Leung E, Woon ST, Chan L, Steele R, Lehnert K, Longhurst H. SARS-CoV-2 Omicron: Light at the End of the Long Pandemic Tunnel or Another False Dawn for Immunodeficient Patients? THE JOURNAL OF ALLERGY AND CLINICAL IMMUNOLOGY. IN PRACTICE 2022; 10:2267-2273. [PMID: 35752434 PMCID: PMC9220855 DOI: 10.1016/j.jaip.2022.06.011] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/16/2022] [Revised: 06/06/2022] [Accepted: 06/09/2022] [Indexed: 12/30/2022]
Abstract
COVID-19 has had a disastrous impact on the world. Apart from at least 6 million deaths, countless COVID-19 survivors are suffering long-term physical and psychiatric morbidity. Hundreds of millions have been plunged into poverty caused by economic misery, particularly in developing nations. Early in the pandemic, it became apparent certain groups of individuals such as the elderly and those with comorbidities were more likely to suffer severe disease. In addition, patients with some forms of immunodeficiency, including those with T-cell and innate immune defects, were at risk of poor outcomes. Patients with immunodeficiencies are also disadvantaged as they may not respond optimally to COVID-19 vaccines and often have pre-existing lung damage. SARS-CoV-2 Omicron (B.1.529) and its subvariants (BA.1, BA.2, etc) have emerged recently and are dominating COVID-19 infections globally. Omicron is associated with a reduced risk of hospitalization and appears to have a lower case fatality rate compared with previous SARS-CoV-2 variants. Omicron has offered hope the pandemic may finally be coming to an end, particularly for vaccinated, healthy individuals. The situation is less clear for individuals with vulnerabilities, particularly immunodeficient patients. This perspective offers insight into potential implications of the SARS-CoV-2 Omicron variant for patients with immunodeficiencies.
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Affiliation(s)
- Rohan Ameratunga
- Department of Clinical immunology, Auckland Hospital, Auckland, New Zealand; Department of Virology and Immunology, Auckland Hospital, Auckland, New Zealand; Department of Molecular Medicine and Pathology, School of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand. E%
| | - Euphemia Leung
- Maurice Wilkins Centre, School of Biological Sciences, University of Auckland, Auckland, New Zealand; Auckland Cancer Society Research Centre, School of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - See-Tarn Woon
- Department of Virology and Immunology, Auckland Hospital, Auckland, New Zealand; Department of Molecular Medicine and Pathology, School of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Lydia Chan
- Department of Clinical immunology, Auckland Hospital, Auckland, New Zealand
| | - Richard Steele
- Department of Virology and Immunology, Auckland Hospital, Auckland, New Zealand; Department of Respiratory Medicine, Wellington Hospital, Wellington, New Zealand
| | - Klaus Lehnert
- Maurice Wilkins Centre, School of Biological Sciences, University of Auckland, Auckland, New Zealand; School of Biological Sciences, University of Auckland, Auckland, New Zealand
| | - Hilary Longhurst
- Department of Clinical immunology, Auckland Hospital, Auckland, New Zealand; Department of Medicine, School of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
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33
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Ameratunga R, Woon ST, Steele R, Lehnert K, Leung E, Brooks AES. Severe COVID-19 is a T cell immune dysregulatory disorder triggered by SARS-CoV-2. Expert Rev Clin Immunol 2022; 18:557-565. [PMID: 35510369 DOI: 10.1080/1744666x.2022.2074403] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
INTRODUCTION COVID-19 has had a calamitous impact on the global community. Apart from at least 6M deaths, hundreds of millions have been infected and a much greater number have been plunged into poverty. Vaccines have been effective but financial and logistical challenges have hampered their rapid global deployment. Vaccine disparities have allowed the emergence of new SARS-CoV-2 variants including delta and omicron, perpetuating the pandemic. AREAS COVERED The immunological response to SARS-CoV-2 has been the subject of intense study and is now better understood. Many of the clinical manifestations of severe disease are a consequence of immune dysregulation triggered by the virus. This may explain the lack of efficacy of antiviral treatments such as convalescent plasma infusions, given later in the disease. EXPERT OPINION T cells play a crucial role in both the outcome of COVID-19 as well as the protective response to vaccines. Vaccines do not prevent infection but reduce the risk of a chaotic and destructive cellular immune response to the virus. Severe COVID-19 should be considered a virus-induced secondary immune dysregulatory disorder of cellular immunity, with broad host susceptibility. This perspective of COVID-19 will lead to better diagnostic tests, vaccines and therapeutic strategies in the future.
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Affiliation(s)
- Rohan Ameratunga
- Department of Clinical immunology, Auckland Hospital, Park Rd, Grafton 1010, Auckland New Zealand.,Department of Virology and Immunology, Auckland Hospital, Park Rd, Grafton 1010, Auckland, New Zealand.,Department of Molecular Medicine and Pathology, School of Medicine, Faculty of Medical and Health Sciences, University of Auckland
| | - See-Tarn Woon
- Department of Virology and Immunology, Auckland Hospital, Park Rd, Grafton 1010, Auckland, New Zealand.,Department of Molecular Medicine and Pathology, School of Medicine, Faculty of Medical and Health Sciences, University of Auckland
| | - Richard Steele
- Department of Virology and Immunology, Auckland Hospital, Park Rd, Grafton 1010, Auckland, New Zealand.,Department of Respiratory Medicine, Wellington Hospital, Wellington, New Zealand
| | - Klaus Lehnert
- School of Biological Sciences, University of Auckland, Auckland, New Zealand.,Maurice Wilkins Centre, School of Biological Sciences, University of Auckland, Symonds St, Auckland, New Zealand Wilkins Centre, University of Auckland
| | - Euphemia Leung
- Maurice Wilkins Centre, School of Biological Sciences, University of Auckland, Symonds St, Auckland, New Zealand Wilkins Centre, University of Auckland.,Auckland Cancer Society Research Centre, School of Medicine, Faculty of Medical and Health Sciences, University of Auckland, Auckland, New Zealand
| | - Anna E S Brooks
- School of Biological Sciences, University of Auckland, Auckland, New Zealand.,Maurice Wilkins Centre, School of Biological Sciences, University of Auckland, Symonds St, Auckland, New Zealand Wilkins Centre, University of Auckland
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34
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Zhu G, Zhou S, Xu Y, Gao R, Li H, Su W, Han G, Wang R. Mendelian randomization study on the causal effects of COVID-19 on childhood intelligence. J Med Virol 2022; 94:3233-3239. [PMID: 35322423 PMCID: PMC9088592 DOI: 10.1002/jmv.27736] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Revised: 03/17/2022] [Accepted: 03/21/2022] [Indexed: 11/17/2022]
Abstract
Although individuals with coronavirus disease 2019 (COVID‐19) are known to be at increased risk for other conditions resulting from pathogenic changes (including metaplastic or anaplastic) in the lungs and other organs and organ systems, it is still unknown whether COVID‐19 affects childhood intelligence. The present two‐sample Mendelian randomization study aims to identify the genetic causal link between COVID‐19 and childhood intelligence. Four COVID‐19 genetic instrumental variants (IVs) were chosen from the largest genome‐wide association studies (GWAS) for COVID‐19 (hospitalized vs. population) (6406 cases and 902 088 controls of European ancestry). The largest childhood intelligence GWAS (n = 12 441 individuals of European ancestry) was used to evaluate the effect of the identified COVID‐19‐associated genetic IVs on childhood intelligence. We found that as the genetic susceptibility to COVID‐19 increased, childhood intelligence followed a decreasing trend, according to mr_egger (β = −0.156; p = 0.601; odds ratio [OR] = 0.856; 95% confidence interval [CI]: 0.522–1.405), simple mode (β = −0.126; p = 0.240; OR = 0.882; 95% CI: 0.745–1.044), and weighted mode (β = −0.121; p = 0.226; OR = 0.886; 95% CI: 0.758–1.036) analyses. This trend was further demonstrated by the weighted median (β = −0.134; p = 0.031; OR = 0.875; 95% CI: 0.774–0.988) and the inverse variance weighted (β = −0.152; p = 0.004; OR = 0.859; 95% CI: 0.776–0.952). Our analysis suggests a causal link between genetically increased COVID‐19 and decreased childhood intelligence. Thus, COVID‐19 may be a risk factor for declines in childhood intelligence.
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Affiliation(s)
- Gaizhi Zhu
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain DisordersCapital Medical UniversityBeijingChina
| | - Shan Zhou
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain DisordersCapital Medical UniversityBeijingChina
| | - Yaqi Xu
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain DisordersCapital Medical UniversityBeijingChina
| | - Ran Gao
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain DisordersCapital Medical UniversityBeijingChina
| | - Huan Li
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain DisordersCapital Medical UniversityBeijingChina
| | - Wenting Su
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain DisordersCapital Medical UniversityBeijingChina
| | - Gencheng Han
- Beijing Institute of Basic Medical SciencesBeijingChina
| | - Renxi Wang
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain DisordersCapital Medical UniversityBeijingChina
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