Evidence mapPaperPMID 39777702Full record

ReviewGeroScience2025

Cerebromicrovascular mechanisms contributing to long COVID: implications for neurocognitive health.

Monika Fekete, Andrea Lehoczki, Ágnes Szappanos, Attila Toth, Mohamed Mahdi, Péter Sótonyi, Zoltán Benyó, Andriy Yabluchanskiy, Stefano Tarantini, Zoltan Ungvari

Abstract readReview
In one paragraph

Review in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

  1. Review
  2. Article
  3. Observational
  4. Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Cognitive Function 1 Year After COVID Infection.Open forum infectious diseases · 2025
    Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Monika Fekete *Institute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary.
Andrea Lehoczki *Institute of Preventive Medicine and Public Health, Semmelweis University, Budapest, Hungary. Andrea.M.Lehoczki@gmail.com.ORCID 0000-0002-4285-7518
Ágnes Szappanos *Heart and Vascular Center, Semmelweis University, Budapest, Hungary.
Attila TothDivision of Clinical Physiology, Department of Cardiology, Faculty of Medicine, University of Debrecen, Debrecen, 4032, Hungary.
Mohamed MahdiLaboratory of Retroviral Biochemistry, Department of Biochemistry and Molecular Biology, University of Debrecen, 4032, Debrecen, Hungary.
Péter SótonyiDepartment of Vascular and Endovascular Surgery, Heart and Vascular Centre, Semmelweis University, 1122, Budapest, Hungary.
Zoltán BenyóInstitute of Translational Medicine, Semmelweis University, 1094, Budapest, Hungary.
Andriy YabluchanskiyVascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Stefano TarantiniVascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.
Zoltan UngvariVascular Cognitive Impairment, Neurodegeneration and Healthy Brain Aging Program, Department of Neurosurgery, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.

Funding

Nemzeti Kutatási, Fejlesztési és Innovaciós Alap RRF-2.3.1-21-2022-00003Nemzeti Kutatási Fejlesztési és Innovációs Hivatal TKP2021-NKTA-47
6 · The paper itself

Abstract

Long COVID (also known as post-acute sequelae of SARS-CoV-2 infection [PASC] or post-COVID syndrome) is characterized by persistent symptoms that extend beyond the acute phase of SARS-CoV-2 infection, affecting approximately 10% to over 30% of those infected. It presents a significant clinical challenge, notably due to pronounced neurocognitive symptoms such as brain fog. The mechanisms underlying these effects are multifactorial, with mounting evidence pointing to a central role of cerebromicrovascular dysfunction. This review investigates key pathophysiological mechanisms contributing to cerebrovascular dysfunction in long COVID and their impacts on brain health. We discuss how endothelial tropism of SARS-CoV-2 and direct vascular infection trigger endothelial dysfunction, impaired neurovascular coupling, and blood-brain barrier disruption, resulting in compromised cerebral perfusion. Furthermore, the infection appears to induce mitochondrial dysfunction, enhancing oxidative stress and inflammation within cerebral endothelial cells. Autoantibody formation following infection also potentially exacerbates neurovascular injury, contributing to chronic vascular inflammation and ongoing blood-brain barrier compromise. These factors collectively contribute to the emergence of white matter hyperintensities, promote amyloid pathology, and may accelerate neurodegenerative processes, including Alzheimer's disease. This review also emphasizes the critical role of advanced imaging techniques in assessing cerebromicrovascular health and the need for targeted interventions to address these cerebrovascular complications. A deeper understanding of the cerebrovascular mechanisms of long COVID is essential to advance targeted treatments and mitigate its long-term neurocognitive consequences.

Indexed as

Cerebrovascular DisordersCOVID-19Blood-Brain BarrierBrainCerebrovascular CirculationEndothelium, VascularHumansNeurovascular CouplingPost-Acute COVID-19 SyndromeSARS-CoV-2AutoantibodiesCerebromicrovascular dysfunctionEndothelial dysfunctionLong COVIDLong-haul COVIDMitochondrial dysfunctionNeurovascular couplingPersistent COVID symptoms

Identifiers

PMID39777702
PMCPMC11872997

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.