ReviewNeuroscience insights2025
Long-term Neurological Consequences of COVID-19 in Patients With Pre-existing Alzheimer's and Parkinson's Disease: A Comprehensive Review.
Review in Neuroscience insights, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed.
- Stress and Parkinson's disease: from dysfunctional detection to impaired handling: a narrative review.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Blood-Brain Barrier Changes and Related Microvascular Outcomes in Long-COVID: A Comprehensive Review.Life (Basel, Switzerland) · 2026Review
- When Viruses Talk through Extracellular Vesicles: a New Perspective on Sars-Cov-2-Induced Neurodegeneration.Journal of extracellular vesicles · 2026Article
- Polyamines as Gatekeepers of Virus Replication and Central Nervous System Homeostasis.Pathogens (Basel, Switzerland) · 2026Review
- From HIV to SARS-CoV-2 associated neurological disorder ("HAND" to "SAND"): Viral infection as a "time-bomb" for the aging brain.Neuroscience applied · 2026Review
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
No grant is acknowledged in the PubMed record.
Abstract
SARS-CoV-2, the causative agent of COVID-19, has profound systemic effects, including significant impacts on the central nervous system (CNS). Emerging evidence suggests a potential link between SARS-CoV-2-induced neuroinflammation and the exacerbation or initiation of neurodegenerative diseases such as Alzheimer's disease (AD) and Parkinson's disease (PD). This review explores the mechanisms by which SARS-CoV-2 may contribute to neurodegenerative processes. We first discuss the pathways of viral entry into the CNS, including transneuronal and hematogenous routes, leading to blood-brain barrier (BBB) dysfunction. Neuroinflammation, mediated by the activation of microglia and astrocytes and the release of pro-inflammatory cytokines such as IL-6, TNF-α, and IL-1β, is highlighted as a critical factor exacerbating neuronal damage. Oxidative stress and vascular damage are further examined as complementary mechanisms promoting neurodegeneration. In addition, we review how SARS-CoV-2 infection influences proteinopathies by accelerating the aggregation of pathological proteins like alpha-synuclein, tau, and TDP-43, contributing to disease progression in PD, AD, and related disorders. Clinical studies reporting cognitive and motor dysfunctions in post-COVID-19 patients with pre-existing neurodegenerative diseases are also summarized. Finally, this review identifies knowledge gaps and emphasizes the need for further research to clarify the long-term neurological consequences of SARS-CoV-2 infection. Understanding these mechanisms is critical for developing targeted therapeutic strategies to mitigate the risk of neurodegeneration in vulnerable populations.
Indexed as
Identifiers
What Socratic 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 Socratic graph.