ReviewBrain pathology (Zurich, Switzerland)2026
Human brain matters: Navigating the neuropathology of COVID-19.
Review in Brain pathology (Zurich, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Human brain matters: Navigating the neuropathology of COVID-19.Brain pathology (Zurich, Switzerland) · 2026Review
- Beyond genes: EpiSwitch® and Orion platform-powered 3D genome architecture biomarkers reveal shared biology across ME/CFS, long COVID, PTSD, rheumatoid arthritis, and multiple sclerosis.Journal of translational medicine · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused millions of deaths worldwide. Although the incidence of severe acute cases has declined, the prevalence of long COVID, also known as post-acute sequelae of COVID-19 (PASC), is rising. The pathological mechanisms underlying severe COVID-19, along with the relationship to neurological disorders and potential risk for neurodegeneration, remain poorly understood. The aim of this narrative review is to summarize neuropathological features described in postmortem human COVID-19 brains (n = 352). Furthermore, analysis of biofluids and neuroimaging from PASC patients underline long-term changes in the proteome and CNS response following the infection. Postmortem brain studies from severe COVID-19 patients highlight disruption of the fluid-brain barriers and vascular dysregulation defined by endothelial inflammation and disruption, hemorrhages, and hypoxic-ischemic damage. Neuroinflammation, including astrogliosis, microglia nodules and infiltration of adaptive immune cells, has been reported in the olfactory bulb, medulla oblongata, midbrain and cerebellum. Neuronal damage was demonstrated in the hippocampus, midbrain and cerebellum in severe COVID-19 and protein aggregation was observed in the midbrain and entorhinal cortex. Neuropathological burden and elevated blood and/or cerebrospinal fluid (CSF) levels of proinflammatory cytokines (e.g. IL-6) and neuro-axonal proteins (e.g. NfL) correlated with severity of anosmia, memory deficits, and cerebellar ataxia. Elderly patients and/or patients with underlying neurological diseases were more susceptible and had worsened symptoms. Potential disease mechanisms underlying neurological symptoms observed in severe COVID-19 are vascular and fluid-brain barrier abnormalities, chronic neuroinflammation, persistent axonal damage and protein aggregation. In PASC patients, an altered biofluid proteome with increased neuronal proteins and pro-inflammatory cytokines was observed. The pathological burden in affected brain regions may contribute to manifestations such as anosmia, memory deficits, and cerebellar ataxia.
Indexed as
Identifiers
42019647What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.