Evidence map›Paper›PMID 35237989›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Monitoring Atheroprotective Macrophage Cholesterol Efflux In Vivo.

Andrea Rivas-Urbina, Noemi Rotllan, David Santos, Josep Julve, Jose Luis Sanchez-Quesada, Joan Carles Escolà-Gil

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 3 institutions in 1 country.

Andrea Rivas-UrbinaInstitut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, Barcelona, Spain.
Noemi RotllanInstitut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, Barcelona, Spain.
David SantosInstitut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, Barcelona, Spain.
Josep JulveInstitut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, Barcelona, Spain.
Jose Luis Sanchez-QuesadaInstitut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, Barcelona, Spain. jsanchezq@santpau.cat.
Joan Carles Escolà-GilInstitut de Recerca de l'Hospital de la Santa Creu i Sant Pau, Institut d'Investigacions Biomèdiques (IIB) Sant Pau, Barcelona, Spain. jescola@santpau.cat.
Hospital de Sant Pau · ESCentro de Investigación Biomédica en Red Diabetes y Enfermedades Metabólicas Asociadas · ESUniversitat Autònoma de Barcelona · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This chapter provides details on the methodologies currently used to monitor macrophage cholesterol efflux in vivo in mice. The general principles and techniques described herein can be applied to evaluate the effect of different experimental pathophysiological conditions or the efficacy of different therapeutic strategies on the modulation of in vivo cholesterol efflux to plasma acceptors and the rate of reverse transport of unesterified cholesterol from macrophages to feces in mice.

Indexed as

CholesterolMacrophagesAnimalsBiological TransportCholesterol, HDLMiceCholesterolCholesterol, HDLCholesterolCholesterol effluxHDLMacrophageMethodReverse cholesterol transport

Identifiers

PMID35237989
OpenAlexW4214853940

What Socratic 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 Socratic graph.