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Duindam HB, Mengel D, Kox M, Göpfert JC, Kessels RPC, Synofzik M, Pickkers P, Abdo WF. Systemic inflammation relates to neuroaxonal damage associated with long-term cognitive dysfunction in COVID-19 patients. Brain Behav Immun 2024; 117:510-520. [PMID: 38336025 DOI: 10.1016/j.bbi.2024.02.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 11/23/2023] [Accepted: 02/02/2024] [Indexed: 02/12/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Cognitive deficits are increasingly recognized as a long-term sequela of severe COVID-19. The underlying processes and molecular signatures associated with these long-term neurological sequalae of COVID-19 remain largely unclear, but may be related to systemic inflammation-induced effects on the brain. We studied the systemic inflammation-brain interplay and its relation to development of long-term cognitive impairment in patients who survived severe COVID-19. Trajectories of systemic inflammation and neuroaxonal damage blood biomarkers during ICU admission were analyzed and related to long-term cognitive outcomes. METHODS Prospective longitudinal cohort study of patients with severe COVID-19 surviving ICU admission. During admission, blood was sampled consecutively to assess levels of inflammatory cytokines and neurofilament light chain (NfL) using an ultrasensitive multiplex Luminex assay and single molecule array technique (Simoa). Cognitive functioning was evaluated using a comprehensive neuropsychological assessment six months after ICU-discharge. RESULTS Ninety-six patients (median [IQR] age 61 [55-69] years) were enrolled from March 2020 to June 2021 and divided into two cohorts: those who received no COVID-19-related immunotherapy (n = 28) and those treated with either dexamethasone or dexamethasone and tocilizumab (n = 68). Plasma NfL concentrations increased in 95 % of patients during their ICU stay, from median [IQR] 23 [18-38] pg/mL at admission to 250 [160-271] pg/mL after 28 days, p < 0.001. Besides age, glomerular filtration rate, immunomodulatory treatment, and C-reactive protein, more specific markers of systemic inflammation at day 14 (i.e., interleukin (IL)-8, tumour necrosis factor, and IL-1 receptor antagonist) were significant predictors of blood NfL levels at day 14 of ICU admission (R2 = 44 %, p < 0.001), illustrating the association between sustained systemic inflammation and neuroaxonal damage. Twenty-six patients (27 %) exhibited cognitive impairment six months after discharge from the ICU. NfL concentrations showed a more pronounced increase in patients that developed cognitive impairment (p = 0.03). Higher NfL predicted poorer outcome in information processing speed (Trail Making Test A, r = -0.26, p = 0.01; Letter Digit Substitution Test, r = -0.24, p = 0.02). DISCUSSION Prolonged systemic inflammation in critically ill COVID-19 patients is related to neuroaxonal damage and subsequent long-term cognitive impairment. Moreover, our findings suggest that plasma NfL concentrations during ICU stay may possess prognostic value in predicting future long-term cognitive impairment in patients that survived severe COVID-19.
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Affiliation(s)
- H B Duindam
- Radboud University Medical Center, Department of Intensive Care Medicine, Nijmegen, the Netherlands
| | - D Mengel
- Center for Neurology and Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany; German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - M Kox
- Radboud University Medical Center, Department of Intensive Care Medicine, Nijmegen, the Netherlands
| | - J C Göpfert
- NMI Natural and Medical Sciences Institute at the University of Tübingen, Reutlingen, Germany
| | - R P C Kessels
- Radboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen, the Netherlands; Radboud University Medical Center, Department of Medical Psychology and Radboudumc Alzheimer Center, Nijmegen, the Netherlands; Vincent van Gogh Institute for Psychiatry, Venray, the Netherlands
| | - M Synofzik
- Center for Neurology and Hertie Institute for Clinical Brain Research, Department of Neurodegenerative Diseases, University of Tübingen, Tübingen, Germany; German Center for Neurodegenerative Diseases (DZNE), Tübingen, Germany
| | - P Pickkers
- Radboud University Medical Center, Department of Intensive Care Medicine, Nijmegen, the Netherlands
| | - W F Abdo
- Radboud University Medical Center, Department of Intensive Care Medicine, Nijmegen, the Netherlands.
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Domingues KZA, Cobre AF, Lazo REL, Amaral LS, Ferreira LM, Tonin FS, Pontarolo R. Systematic review and evidence gap mapping of biomarkers associated with neurological manifestations in patients with COVID-19. J Neurol 2024; 271:1-23. [PMID: 38015300 DOI: 10.1007/s00415-023-12090-6] [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: 08/11/2023] [Revised: 10/27/2023] [Accepted: 10/29/2023] [Indexed: 11/29/2023]
Abstract
OBJECTIVE This study aimed to synthesize the existing evidence on biomarkers related to coronavirus disease 2019 (COVID-19) patients who presented neurological events. METHODS A systematic review of observational studies (any design) following PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines and the Cochrane Collaboration recommendations was performed (PROSPERO: CRD42021266995). Searches were conducted in PubMed and Scopus (updated April 2023). The methodological quality of nonrandomized studies was assessed using the Newcastle‒Ottawa Scale (NOS). An evidence gap map was built considering the reported biomarkers and NOS results. RESULTS Nine specific markers of glial activation and neuronal injury were mapped from 35 studies published between 2020 and 2023. A total of 2,237 adult patients were evaluated in the included studies, especially during the acute phase of COVID-19. Neurofilament light chain (NfL) and glial fibrillary acidic protein (GFAP) biomarkers were the most frequently assessed (n = 27 studies, 77%, and n = 14 studies, 40%, respectively). Although these biomarkers were found to be correlated with disease severity and worse outcomes in the acute phase in several studies (p < 0.05), they were not necessarily associated with neurological events. Overall, 12 studies (34%) were judged as having low methodological quality, 9 (26%) had moderate quality, and 9 (26%) had high quality. CONCLUSIONS Different neurological biomarkers in neurosymptomatic COVID-19 patients were identified in observational studies. Although the evidence is still scarce and conflicting for some biomarkers, well-designed longitudinal studies should further explore the pathophysiological role of NfL, GFAP, and tau protein and their potential use for COVID-19 diagnosis and management.
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Affiliation(s)
- K Z A Domingues
- Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal do Paraná, Curitiba, PR, 80210-170, Brazil
| | - A F Cobre
- Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal do Paraná, Curitiba, PR, 80210-170, Brazil
| | - R E L Lazo
- Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal do Paraná, Curitiba, PR, 80210-170, Brazil
| | - L S Amaral
- Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal do Paraná, Curitiba, PR, 80210-170, Brazil
| | - L M Ferreira
- Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal do Paraná, Curitiba, PR, 80210-170, Brazil
| | - F S Tonin
- H&TRC- Health & Technology Research Center, ESTeSL, Escola Superior de Tecnologia da Saúde, Instituto Politécnico de Lisboa, 1990-096, Lisbon, Portugal
| | - R Pontarolo
- Programa de Pós-Graduação em Ciências Farmacêuticas, Universidade Federal do Paraná, Curitiba, PR, 80210-170, Brazil.
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Chen F, Cao H, Baranova A, Zhao Q, Zhang F. Causal associations between COVID-19 and childhood mental disorders. BMC Psychiatry 2023; 23:922. [PMID: 38066446 PMCID: PMC10704772 DOI: 10.1186/s12888-023-05433-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Accepted: 12/02/2023] [Indexed: 12/18/2023] Open
Abstract
BACKGROUND The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) can invade both the peripheral and central nervous systems and impact the function of the brain. Therefore, it is necessary to evaluate the mutual influences between COVID-19 outcomes and childhood mental disorders. METHODS We examined genetic correlations and potential causalities between three childhood mental disorders and three COVID-19 phenotypes by genetically proxied analyses. The three mental disorders included attention-deficit/hyperactivity disorder (ADHD, N = 292,548), Tourette's syndrome (TS, N = 14,307), and autism spectrum disorder (ASD, N = 46,350). The three COVID-19 traits included SARS-CoV-2 infection (N = 2,597,856), hospitalized COVID-19 (N = 2,095,324), and critical COVID-19 (N = 1,086,211). Literature-based analysis was used to build gene-based pathways connecting ADHD and COVID-19. RESULTS ADHD was positively correlated with the three COVID-19 outcomes (Rg: 0.22 ~ 0.30). Our Mendelian randomization (MR) analyses found that ADHD confers a causal effect on hospitalized COVID-19 (odds ratio (OR): 1.36, 95% confidence interval (CI): 1.10-1.69). TS confers a causal effect on critical COVID-19 (OR: 1.14, 95% CI: 1.04-1.25). Genetic liability to the COVID-19 outcomes may not increase the risk for the childhood mental disorders. Pathway analysis identified several immunity-related genes that may link ADHD to COVID-19, including CRP, OXT, IL6, PON1, AR, TNFSF12, and IL10. CONCLUSIONS Our study suggests that both ADHD and TS may augment the severity of COVID-19 through immunity-related pathways. However, our results did not support a causal role of COVID-19 in the risk for the childhood mental disorders.
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Affiliation(s)
- Fei Chen
- Department of Clinical Laboratory, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Hongbao Cao
- School of Systems Biology, George Mason University, Manassas, 20110, USA
| | - Ancha Baranova
- School of Systems Biology, George Mason University, Manassas, 20110, USA
- Research Centre for Medical Genetics, Moscow, 115478, Russia
| | - Qian Zhao
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China
| | - Fuquan Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, 210029, China.
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Fu L, Baranova A, Cao H, Zhang F. Causal influences of osteoarthritis on COVID-19: a Mendelian randomization study. Front Med (Lausanne) 2023; 10:1287043. [PMID: 38020136 PMCID: PMC10644031 DOI: 10.3389/fmed.2023.1287043] [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: 09/04/2023] [Accepted: 10/16/2023] [Indexed: 12/01/2023] Open
Abstract
Objective Although observational and genetic studies have indicated a correlation between OA and COVID-19, it remains uncertain whether osteoarthritis (OA) contributes to the severity of COVID-19. Here, we aimed to investigate the potential causal links between the two. Methods In this study, we conducted Mendelian randomization (MR) analysis to investigate whether there is a potential causal connection between OA and COVID-19 outcomes. The analysis utilized publicly available GWAS summary datasets, incorporating data on OA (N = 455,221), SARS-CoV-2 infection (N = 2,597,856), hospitalized COVID-19 (N = 2,095,324), and critical COVID-19 (N = 1,086,211). Additionally, we performed a literature analysis to establish a molecular network connecting OA and COVID-19. Results The MR analysis showed causal effects of OA on hospitalized COVID-19 (OR: 1.21, 95% CI: 1.02-1.43, p = 0.026) and critical COVID-19 (OR: 1.35, 95% CI: 1.09-1.68, p = 0.006) but not on SARS-CoV-2 infection as such (OR: 1.00, 95% CI: 0.92-1.08, p = 0.969). Moreover, the literature-based pathway analysis uncovered a set of specific genes, such as CALCA, ACE, SIRT1, TNF, IL6, CCL2, and others, that were found to mediate the association between OA and COVID-19. Conclusion Our findings indicate that OA elevates the risk of severe COVID-19. Therefore, larger efforts should be made in the prevention of COVID-19 in OA patients.
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Affiliation(s)
- Li Fu
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
| | - Ancha Baranova
- School of Systems Biology, George Mason University, Manassas, VA, United States
- Research Centre for Medical Genetics, Moscow, Russia
| | - Hongbao Cao
- School of Systems Biology, George Mason University, Manassas, VA, United States
| | - Fuquan Zhang
- Department of Psychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
- Institute of Neuropsychiatry, The Affiliated Brain Hospital of Nanjing Medical University, Nanjing, China
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Huang Z, Haile K, Gedefaw L, Lau BWM, Jin L, Yip SP, Huang CL. Blood Biomarkers as Prognostic Indicators for Neurological Injury in COVID-19 Patients: A Systematic Review and Meta-Analysis. Int J Mol Sci 2023; 24:15738. [PMID: 37958721 PMCID: PMC10649265 DOI: 10.3390/ijms242115738] [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: 09/16/2023] [Revised: 10/24/2023] [Accepted: 10/25/2023] [Indexed: 11/15/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) has been linked to various neurological complications. This meta-analysis assessed the relationship between glial fibrillary acidic protein (GFAP) and neurofilament light chain (NfL) levels in the blood and neurological injury in COVID-19 patients. A comprehensive search of various databases was conducted until 18 August 2023, to find studies reporting GFAP and NfL blood levels in COVID-19 patients with neurological complications. GFAP and NfL levels were estimated between COVID-19 patients and healthy controls, and meta-analyses were performed using RevMan 5.4 software for analysis. In the 21 collected studies, it was found that COVID-19 patients had significantly higher levels of pooled GFAP (SMD = 0.52; 95% CI: 0.31, 0.73; p ≤ 0.001) and NfL (SMD = 0.60; 95% CI: 0.37, 0.82; p ≤ 0.001) when compared to the healthy controls. The pooled GFAP (SMD = 0.86; 95% CI: 0.26, 1.45; p ≤ 0.01) and NfL (SMD = 0.87; 95% CI: 0.48, 1.26; p ≤ 0.001) were significantly higher in non-survivors. These findings indicate a significant association between COVID-19 severity and elevated levels of GFAP and NfL, suggesting that GFAP and NfL could serve as potential diagnostic and prognostic markers for the early detection and monitoring of COVID-19-related neurological injuries.
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Affiliation(s)
- Zhiwei Huang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China; (Z.H.); (L.G.); (L.J.)
| | - Kassahun Haile
- Department of Medical Laboratory Science, Wolkite University, Wolkite P.O. Box 07, Ethiopia;
| | - Lealem Gedefaw
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China; (Z.H.); (L.G.); (L.J.)
| | - Benson Wui-Man Lau
- Department of Rehabilitation Sciences, The Hong Kong Polytechnic University, Hong Kong, China;
| | - Ling Jin
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China; (Z.H.); (L.G.); (L.J.)
- Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hong Kong, China
| | - Shea Ping Yip
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China; (Z.H.); (L.G.); (L.J.)
| | - Chien-Ling Huang
- Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China; (Z.H.); (L.G.); (L.J.)
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