Evidence map›Paper›PMID 35689351›Full record

ReviewJournal of medical virology2022

Coronavirus disease 2019 (COVID-19) update: From metabolic reprogramming to immunometabolism.

Mohammad Rudiansyah, Saade Abdalkareem Jasim, Zeinab Gol Mohammad Pour, Sara Sohrabi Athar, Ali Salimi Jeda, Rumi Iqbal Doewes, Abduladheem Turki Jalil, D O Bokov, Yasser Fakri Mustafa, Mina Noroozbeygi and 2 more

Abstract readReview
In one paragraph

Review in Journal of medical virology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Classification and regulatory interactions of key transcription factors in COVID-19.Frontiers in cellular and infection microbiology · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. High Risk of Heart Tumors after COVID-19.Life (Basel, Switzerland) · 2023
    Article
  14. Article
  15. Deciphering the Relationship between SARS-CoV-2 and Cancer.International journal of molecular sciences · 2023
    Review
  16. Article
  17. Review
  18. Review
  19. Review
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

12 authors.

Mohammad RudiansyahDivision of Nephrology & Hypertension, Department of Internal Medicine, Faculty of Medicine, Universitas Lambung Mangkurat/Ulin Hospital, Banjarmasin, Indonesia.ORCID 0000-0002-5469-9641
Saade Abdalkareem JasimMedical Laboratory Techniques Department, Al-Maarif University College, Al-Anbar-Ramadi, Iraq.
Zeinab Gol Mohammad PourZanjan University of Medical Sciences, Zanjan, Iran.
Sara Sohrabi AtharStudent Research Committee, Urmia University of Medical Sciences, Urmia, Iran.
Ali Salimi JedaDepartment of Virology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Rumi Iqbal DoewesFaculty of Sport, Universitas Sebelas Maret, Kentingan, Surakarta, Indonesia.
Abduladheem Turki JalilMedical Laboratories Techniques Department, Al-Mustaqbal University College, Babylon, Hilla, Iraq.ORCID 0000-0001-8403-7465
D O BokovInstitute of Pharmacy, Sechenov First Moscow State Medical University, Moscow, Russian Federation.ORCID 0000-0003-2968-2466
Yasser Fakri MustafaDepartment of Pharmaceutical Chemistry, College of Pharmacy, University of Mosul, Mosul, Iraq.ORCID 0000-0002-0926-7428
Mina NoroozbeygiDepartment of Immunology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Sajad KarampoorDepartment of Virology, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID 0000-0003-3716-8096
Rasoul MirzaeiDepartment of Microbiology, School of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of immunometabolism investigates and describes the effects of metabolic rewiring in immune cells throughout activation and the fates of these cells. Recently, it has been appreciated that immunometabolism plays an essential role in the progression of viral infections, cancer, and autoimmune diseases. Regarding COVID-19, the aberrant immune response underlying the progression of diseases establishes two major respiratory pathologies, including acute respiratory distress syndrome (ARDS) or pneumonia-induced acute lung injury (ALI). Both innate and adaptive immunity (T cell-based) were impaired in the course of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. Current findings have deciphered that macrophages (innate immune cells) are involved in the inflammatory response seen in COVID-19. It has been demonstrated that immune system cells can change metabolic reprogramming in some conditions, including autoimmune diseases, cancer, and infectious disease, including COVID-19. The growing findings on metabolic reprogramming in COVID-19 allow an exploration of metabolites with immunomodulatory properties as future therapies to combat this hyperinflammatory response. The elucidation of the exact role and mechanism underlying this metabolic reprograming in immune cells could help apply more precise approaches to initial diagnosis, prognosis, and in-hospital therapy. This report discusses the latest findings from COVID-19 on host metabolic reprogramming and immunometabolic responses.

Indexed as

Autoimmune DiseasesCOVID-19NeoplasmsRespiratory Distress SyndromeHumansImmunity, InnateSARS-CoV-2COVID-19immune reactionimmunometabolisminflammationSARS-CoV2

Identifiers

PMID35689351
PMCPMC9350347

What OpenQuestion holds

Textmetadata
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 OpenQuestion graph.