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Damodar T, Dunai C, Prabhu N, Jose M, Akhila L, Kinhal UV, Anusha Raj K, Marate S, Lalitha AV, Dsouza FS, Sajjan SV, Gowda VK, Basavaraja GV, Singh B, Prathyusha PV, Tharmaratnam K, Ravi V, Kolamunnage-Dona R, Solomon T, Turtle L, Yadav R, Michael BD, Mani RS. Diagnostic markers of acute encephalitis syndrome and COVID-associated multisystem inflammatory syndrome in children from Southern India. J Med Virol 2024; 96:e29666. [PMID: 38738569 DOI: 10.1002/jmv.29666] [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: 01/30/2024] [Revised: 04/29/2024] [Accepted: 04/30/2024] [Indexed: 05/14/2024]
Abstract
Acute encephalitis syndrome (AES) in children poses a significant public health challenge in India. This study aims to explore the utility of host inflammatory mediators and neurofilament (NfL) levels in distinguishing etiologies, assessing disease severity, and predicting outcomes in AES. We assessed 12 mediators in serum (n = 58) and 11 in cerebrospinal fluid (CSF) (n = 42) from 62 children with AES due to scrub typhus, viral etiologies, and COVID-associated multisystem inflammatory syndrome (MIS-C) in Southern India. Additionally, NfL levels in serum (n = 20) and CSF (n = 18) were examined. Clinical data, including Glasgow coma scale (GCS) and Liverpool outcome scores, were recorded. Examining serum and CSF markers in the three AES etiology groups revealed notable distinctions, with scrub typhus differing significantly from viral and MIS-C causes. Viral causes had elevated serum CCL11 and CCL2 compared with scrub typhus, while MIS-C cases showed higher HGF levels than scrub typhus. However, CSF analysis showed a distinct pattern with the scrub typhus group exhibiting elevated levels of IL-1RA, IL-1β, and TNF compared with MIS-C, and lower CCL2 levels compared with the viral group. Modeling the characteristic features, we identified that age ≥3 years with serum CCL11 < 180 pg/mL effectively distinguished scrub typhus from other AES causes. Elevated serum CCL11, HGF, and IL-6:IL-10 ratio were associated with poor outcomes (p = 0.038, 0.005, 0.02). Positive CSF and serum NfL correlation, and negative GCS and serum NfL correlation were observed. Median NfL levels were higher in children with abnormal admission GCS and poor outcomes. Measuring immune mediators and brain injury markers in AES provides valuable diagnostic insights, with the potential to facilitate rapid diagnosis and prognosis. The correlation between CSF and serum NfL, along with distinctive serum cytokine profiles across various etiologies, indicates the adequacy of blood samples alone for assessment and monitoring. The association of elevated levels of CCL11, HGF, and an increased IL-6:IL-10 ratio with adverse outcomes suggests promising avenues for therapeutic exploration, warranting further investigation.
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Affiliation(s)
- Tina Damodar
- Department of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Cordelia Dunai
- Department of Clinical Infection, Microbiology & Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
- National Institute for Health and Care Research Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Namratha Prabhu
- Department of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Maria Jose
- Department of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - L Akhila
- Department of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Uddhava V Kinhal
- Department of Pediatric Neurology, Indira Gandhi Institute of Child Health, Bangalore, India
| | - K Anusha Raj
- Department of Pediatric Neurology, Indira Gandhi Institute of Child Health, Bangalore, India
| | - Srilatha Marate
- Department of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - A V Lalitha
- Department of Pediatric Critical Care, St John's Medical College and Hospital, Bangalore, India
| | | | - Sushma Veeranna Sajjan
- Department of Pediatrics, Bangalore Medical College and Research Institute, Bangalore, India
| | - Vykuntaraju K Gowda
- Department of Pediatrics, Indira Gandhi Institute of Child Health, Bangalore, India
| | - G V Basavaraja
- Department of Pediatrics, Indira Gandhi Institute of Child Health, Bangalore, India
| | - Bhagteshwar Singh
- Tropical & Infectious Diseases Unit, Royal Liverpool University Hospital, Liverpool, UK
- Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
- Department of Infectious Diseases, Christian Medical College, Vellore, India
| | - P V Prathyusha
- Department of Biostatistics, National Institute of Mental Health & Neurosciences, Bangalore, India
| | | | - Vasanthapuram Ravi
- Department of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | | | - Tom Solomon
- National Institute for Health and Care Research Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
- The Pandemic Institute, Liverpool, UK
- Department of Neurology, Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Lance Turtle
- Department of Clinical Infection, Microbiology & Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
- National Institute for Health and Care Research Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
- Liverpool University Hospitals NHS Foundation Trust, Liverpool, UK
| | - Ravi Yadav
- Department of Neurology, National Institute of Mental Health & Neurosciences, Bangalore, India
| | - Benedict D Michael
- Department of Clinical Infection, Microbiology & Immunology, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
- National Institute for Health and Care Research Health Protection Research Unit in Emerging and Zoonotic Infections, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK
- The Pandemic Institute, Liverpool, UK
- Department of Neurology, Walton Centre NHS Foundation Trust, Liverpool, UK
| | - Reeta S Mani
- Department of Neurovirology, National Institute of Mental Health & Neurosciences, Bangalore, India
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Grut V, Biström M, Salzer J, Stridh P, Jons D, Gustafsson R, Fogdell-Hahn A, Huang J, Butt J, Lindam A, Alonso-Magdalena L, Bergström T, Kockum I, Waterboer T, Olsson T, Zetterberg H, Blennow K, Andersen O, Nilsson S, Sundström P. Human herpesvirus 6A and axonal injury before the clinical onset of multiple sclerosis. Brain 2024; 147:177-185. [PMID: 37930324 PMCID: PMC10766246 DOI: 10.1093/brain/awad374] [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: 02/23/2023] [Revised: 08/23/2023] [Accepted: 10/16/2023] [Indexed: 11/07/2023] Open
Abstract
Recent research indicates that multiple sclerosis is preceded by a prodromal phase with elevated levels of serum neurofilament light chain (sNfL), a marker of axonal injury. The effect of environmental risk factors on the extent of axonal injury during this prodrome is unknown. Human herpesvirus 6A (HHV-6A) is associated with an increased risk of developing multiple sclerosis. The objective of this study was to determine if HHV-6A serostatus is associated with the level of sNfL in the multiple sclerosis prodrome, which would support a causative role of HHV-6A. A nested case-control study was performed by crosslinking multiple sclerosis registries with Swedish biobanks. Individuals with biobank samples collected before the clinical onset of multiple sclerosis were included as cases. Controls without multiple sclerosis were randomly selected, matched for biobank, sex, sampling date and age. Serostatus of HHV-6A and Epstein-Barr virus was analysed with a bead-based multiplex assay. The concentration of sNfL was analysed with single molecule array technology. The association between HHV-6A serology and sNfL was assessed by stratified t-tests and linear regressions, adjusted for Epstein-Barr virus serostatus and sampling age. Within-pair ratios of HHV-6A seroreactivity and sNfL were calculated for each case and its matched control. To assess the temporal relationship between HHV-6A antibodies and sNfL, these ratios were plotted against the time to the clinical onset of multiple sclerosis and compared using locally estimated scatterplot smoothing regressions with 95% confidence intervals (CI). Samples from 519 matched case-control pairs were included. In cases, seropositivity of HHV-6A was significantly associated with the level of sNfL (+11%, 95% CI 0.2-24%, P = 0.045) and most pronounced in the younger half of the cases (+24%, 95% CI 6-45%, P = 0.007). No such associations were observed among the controls. Increasing seroreactivity against HHV-6A was detectable before the rise of sNfL (significant within-pair ratios from 13.6 years versus 6.6 years before the clinical onset of multiple sclerosis). In this study, we describe the association between HHV-6A antibodies and the degree of axonal injury in the multiple sclerosis prodrome. The findings indicate that elevated HHV-6A antibodies both precede and are associated with a higher degree of axonal injury, supporting the hypothesis that HHV-6A infection may contribute to multiple sclerosis development in a proportion of cases.
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Affiliation(s)
- Viktor Grut
- Department of Clinical Science, Neurosciences, Umeå University, 901 87 Umeå, Sweden
| | - Martin Biström
- Department of Clinical Science, Neurosciences, Umeå University, 901 87 Umeå, Sweden
| | - Jonatan Salzer
- Department of Clinical Science, Neurosciences, Umeå University, 901 87 Umeå, Sweden
| | - Pernilla Stridh
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Daniel Jons
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Rasmus Gustafsson
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Anna Fogdell-Hahn
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Jesse Huang
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Julia Butt
- Infections and Cancer Epidemiology Division, German Cancer Research Center, 69120 Heidelberg, Germany
| | - Anna Lindam
- Department of Public Health and Clinical Medicine, Unit of Research, Education and Development Östersund Hospital, Umeå University, 901 87 Umeå, Sweden
| | - Lucia Alonso-Magdalena
- Department of Neurology, Skåne University Hospital and Department of Clinical Sciences, Lund University, 221 84 Lund, Sweden
| | - Tomas Bergström
- Department of Infectious Diseases, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Ingrid Kockum
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Tim Waterboer
- Infections and Cancer Epidemiology Division, German Cancer Research Center, 69120 Heidelberg, Germany
| | - Tomas Olsson
- Department of Clinical Neuroscience, Karolinska Institutet, 171 77 Stockholm, Sweden
- Center for Molecular Medicine, Karolinska University Hospital, 171 76 Stockholm, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 80 Mölndal, Sweden
- Department of Neurodegenerative Disease, UCL Institute of Neurology, London, WC1N 3BG, UK
- UK Dementia Research Institute at UCL, London, W1T 7NF, UK
- Hong Kong Centre for Neurodegenerative Diseases, Hong Kong999077, China
- Wisconsin Alzheimer’s Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI 53792, USA
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, 431 80 Mölndal, Sweden
| | - Oluf Andersen
- Department of Clinical Neuroscience, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Staffan Nilsson
- Department of Laboratory Medicine, Institute of Biomedicine, Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden
| | - Peter Sundström
- Department of Clinical Science, Neurosciences, Umeå University, 901 87 Umeå, Sweden
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Ter Horst L, van Zeggeren IE, Olie SE, van de Beek D, Brouwer MC. Predictors of unfavourable outcome in adults with suspected central nervous system infections: a prospective cohort study. Sci Rep 2023; 13:21250. [PMID: 38040800 PMCID: PMC10692224 DOI: 10.1038/s41598-023-48472-z] [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: 10/17/2023] [Accepted: 11/27/2023] [Indexed: 12/03/2023] Open
Abstract
Suspected central nervous system (CNS) infections may pose a diagnostic challenge, and often concern severely ill patients. We aim to identify predictors of unfavourable outcome to prioritize diagnostics and treatment improvements. Unfavourable outcome was assessed on the Glasgow Outcome Scale at hospital discharge, defined by a score of 1 to 4. Of the 1152 episodes with suspected CNS infection, from two Dutch prospective cohorts, the median age was 54 (IQR 37-67), and 563 episodes (49%) occurred in women. The final diagnoses were categorized as CNS infection (N = 358 episodes, 31%), CNS inflammatory disease (N = 113, 10%), non-infectious non-inflammatory neurological disorder (N = 388, 34%), non-neurological infection (N = 252, 22%), and other systemic disorder (N = 41, 4%). Unfavourable outcome occurred in 412 of 1152 (36%), and 99 died (9%). Predictors for unfavourable outcomes included advanced age, absence of headache, tachycardia, altered mental state, focal cerebral deficits, cranial nerve palsies, low thrombocytes, high CSF protein, and the final diagnosis of CNS inflammatory disease (odds ratio 4.5 [95% confidence interval 1.5-12.6]). Episodes suspected of having a CNS infection face high risk of experiencing unfavourable outcome, stressing the urgent need for rapid and accurate diagnostics. Amongst the suspected CNS infection group, those diagnosed with CNS inflammatory disease have the highest risk.
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Affiliation(s)
- Liora Ter Horst
- Amsterdam UMC, Department of Neurology, Amsterdam Neuroscience, University of Amsterdam, Meibergdreef 9, PO Box 22660, 1105 AZ, Amsterdam, The Netherlands
| | - Ingeborg E van Zeggeren
- Amsterdam UMC, Department of Neurology, Amsterdam Neuroscience, University of Amsterdam, Meibergdreef 9, PO Box 22660, 1105 AZ, Amsterdam, The Netherlands
| | - Sabine E Olie
- Amsterdam UMC, Department of Neurology, Amsterdam Neuroscience, University of Amsterdam, Meibergdreef 9, PO Box 22660, 1105 AZ, Amsterdam, The Netherlands
| | - Diederik van de Beek
- Amsterdam UMC, Department of Neurology, Amsterdam Neuroscience, University of Amsterdam, Meibergdreef 9, PO Box 22660, 1105 AZ, Amsterdam, The Netherlands
| | - Matthijs C Brouwer
- Amsterdam UMC, Department of Neurology, Amsterdam Neuroscience, University of Amsterdam, Meibergdreef 9, PO Box 22660, 1105 AZ, Amsterdam, The Netherlands.
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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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