Evidence map›Paper›PMID 38666806›Full record

ArticleClinics and practice2024

"Every Cloud Has a Silver Lining": How Three Rare Diseases Defend Themselves from COVID-19 and What We Have Learnt from It.

Martina Cacciapuoti, Ilaria Caputo, Lucia Federica Stefanelli, Paul A Davis, Federico Nalesso, Lorenzo A Calò

Open access · goldAbstract read
In one paragraph

Article in Clinics and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.8field-weighted citation impact, top 29% of its field
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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

6 authors at 2 institutions in 2 countries.

Martina CacciapuotiNephrology, Dialysis and Transplantation Unit, Department of Medicine, University of Padova, 35128 Padova, Italy.ORCID 0000-0002-6518-1362
Ilaria CaputoNephrology, Dialysis and Transplantation Unit, Department of Medicine, University of Padova, 35128 Padova, Italy.ORCID 0000-0003-3885-7256
Lucia Federica StefanelliNephrology, Dialysis and Transplantation Unit, Department of Medicine, University of Padova, 35128 Padova, Italy.
Paul A DavisDepartment of Nutrition, University of California, Davis, CA 95616, USA.
Federico NalessoNephrology, Dialysis and Transplantation Unit, Department of Medicine, University of Padova, 35128 Padova, Italy.ORCID 0000-0002-1167-2764
Lorenzo A CalòNephrology, Dialysis and Transplantation Unit, Department of Medicine, University of Padova, 35128 Padova, Italy.ORCID 0000-0002-7534-0128
University of Padua · ITUniversity of California, Davis · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of SARS-CoV-2 infection, responsible for the COVID-19 pandemic, is carried out through different steps, with the interaction between ACE2 and Spike protein (S) being crucial. Besides of that, the acidic environment of endosomes seems to play a relevant role in the virus uptake into cells and its intracellular replication. Patients affected by two rare genetic tubulopathies, Gitelman's and Bartter's Syndromes, and a rare genetic metabolic disease, Fabry Disease, have shown intrinsic protection from SARS-CoV-2 infection and COVID-19 on account of specific intrinsic features that interfere with the virus uptake into cells and its intracellular replication, which will be reported and discussed in this paper, providing interesting insights for present and future research.

Indexed as

ACE2Bartter’s syndromeCathepsin-LCOVID-19Fabry diseaseGitelman’s syndrome

Identifiers

PMID38666806
PMCPMC11048753
OpenAlexW4394609968

What OpenQuestion 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 OpenQuestion graph.