Evidence map›Paper›PMID 40799952›Full record

ReviewInfection and drug resistance2025

COVID-19: A Disease Driven by Protease/Antiprotease Imbalance? A Specific Review Five Years into the Pandemic.

Pierpaolo Di Micco, Carmine Siniscalchi, Egidio Imbalzano, Vincenzo Russo, Giuseppe Camporese, Corrado Lodigiani, Tiziana Meschi, Alessandro Perrella

Abstract readReview
In one paragraph

Review in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

8 authors.

Pierpaolo Di MiccoUOC Medicina Interna, AFO Medica, P.O. Santa Maria delle Grazie, Pozzuoli (NA), ASL Napoli 2 Nord, CAP 80076, Italy.
Carmine SiniscalchiInternal Medicine Department, Parma University Hospital, Parma, Italy.
Egidio ImbalzanoDepartment of Clinical and Experimental Medicine, University of Messina, Messina, Italy.
Vincenzo RussoDepartment of Cardiology, Vanvitelli University of Naples, Naples, Italy.
Giuseppe CamporeseDepartment of Internal Medicine DIMED, Padua University Hospital, Padua, Italy.
Corrado LodigianiDepartment of Internal Medicine, Humanitas Hospital Milano, Milano, Italy.ORCID 0000-0002-9152-9385
Tiziana MeschiInternal Medicine Department, Parma University Hospital, Parma, Italy.
Alessandro PerrellaUOC Emerging Infectious Disease and High Contagiousness AORN Ospedale dei Colli-PO D. Cotugno, Naples, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19, caused by SARS-CoV-2, has profoundly impacted global health since late 2019. Beyond respiratory complications, the disease involves systemic manifestations driven by immune dysregulation, inflammation, and coagulopathy. Among the many mechanisms implicated in severe disease, a growing body of evidence suggests a central role for the imbalance between proteases and antiproteases. This review examines how dysregulated protease activity contributes to viral entry, cytokine activation, vascular injury, and thrombosis. We focus on the integration of proteolytic systems such as the renin-angiotensin system, coagulation cascade, and neutrophil extracellular traps with established pathways like endothelial dysfunction and immune hyperactivation. Furthermore, we highlight therapeutic strategies aimed at restoring proteolytic balance and discuss the potential relevance of this paradigm in the management of long COVID.

Indexed as

biomarkersCOVID-19cytokine stormfibrinolysishypercoagulabilityimaginginflammationprotease-antiprotease balanceserpins

Identifiers

PMID40799952
PMCPMC12341827

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.