ArticleJournal of neuroimmunology2020
The peripheral blood immune cell profile in a teriflunomide-treated multiple sclerosis patient with COVID-19 pneumonia.
Article in Journal of neuroimmunology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.
- COVID-19 and disease-modifying therapies in patients with demyelinating diseases of the central nervous system: A systematic review.Multiple sclerosis and related disorders · 2021Pooled it
- Comparative Evaluation of GS-441524, Teriflunomide, Ruxolitinib, Molnupiravir, Ritonavir, and Nirmatrelvir for In Vitro Antiviral Activity against Feline Infectious Peritonitis Virus.Veterinary sciences · 2023Article
- Longitudinal Virological and Immunological Profile in a Case of Human Monkeypox Infection.Open forum infectious diseases · 2022Article
- Multiple Sclerosis Patients and Disease Modifying Therapies: Impact on Immune Responses against COVID-19 and SARS-CoV-2 Vaccination.Vaccines · 2022Review
- Drugs Used in the Treatment of Multiple Sclerosis During COVID-19 Pandemic: A Critical Viewpoint.Current neuropharmacology · 2022Article
- Vaccine Response in Patients With Multiple Sclerosis Receiving Teriflunomide.Frontiers in neurology · 2022Review
- Immunology of COVID-19 and disease-modifying therapies: The good, the bad and the unknown.European journal of neurology · 2021Review
- COVID-19 in multiple sclerosis patients treated with dimethyl fumarate.Journal of neurology · 2021Article
- Multiple Sclerosis, Disease-Modifying Therapies and COVID-19: A Systematic Review on Immune Response and Vaccination Recommendations.Vaccines · 2021Review
- Increased sCD163 and sCD14 Plasmatic Levels and Depletion of Peripheral Blood Pro-Inflammatory Monocytes, Myeloid and Plasmacytoid Dendritic Cells in Patients With Severe COVID-19 Pneumonia.Frontiers in immunology · 2021Article
- Teriflunomide Treatment of Multiple Sclerosis Selectively Modulates CD8 Memory T Cells.Frontiers in immunology · 2021Article
- Teriflunomide: A possible effective drug for the comprehensive treatment of COVID-19.Current research in pharmacology and drug discovery · 2021Article
- Experience in Multiple Sclerosis Patients with COVID-19 and Disease-Modifying Therapies: A Review of 873 Published Cases.Journal of clinical medicine · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A teriflunomide-treated multiple sclerosis patient with COVID-19 pneumonia was hospitalized and recovered in 15 days. The immunophenotyping analysis of peripheral blood cells was performed in two time points: the first was 1 month before (pre-infection) while the second was during COVID-19 pneumonia (infection). At the infection time point, no differences in the percentages of immune activation and immunesenescence of CD4+ and CD8+ T-cells were observed compared to the pre-infection time point. Our evaluation seems to confirm that teriflunomide controls T-cells immune activation and immunosenescence suggesting that teriflunomide should not be discontinued in MS patients with an active COVID-19 pneumonia.
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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.