Evidence map›Paper›PMID 38937573›Full record

ArticleScientific reports2024

The extent of postpartum cardiac reverse remodeling is reflected in urine proteome.

Ana F Ferreira, Fábio Trindade, Maria J Azevedo, Juliana Morais, Thibaut Douché, Sílvia O Diaz, Francisca A Saraiva, Carla Sousa, Ana P Machado, Mariette Matondo and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Ana F FerreiraCardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal.
Fábio TrindadeCardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal.
Maria J AzevedoFaculdade de Medicina Dentária, Universidade do Porto, 4200-393, Porto, Portugal.
Juliana MoraisCardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal.
Thibaut DouchéProteomic Platform, Mass Spectrometry for Biology Unit, CNRS UAR 2024, Institut Pasteur, Université Paris Cité, 75015, Paris, France.
Sílvia O DiazCardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal.
Francisca A SaraivaCardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal.
Carla SousaCardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal.
Ana P MachadoCenter of Prenatal Diagnosis, Obstetrics Department, Centro Hospitalar Universitário de São João, 4200-319, Porto, Portugal.
Mariette MatondoProteomic Platform, Mass Spectrometry for Biology Unit, CNRS UAR 2024, Institut Pasteur, Université Paris Cité, 75015, Paris, France.
Adelino Leite-MoreiraCardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal.
Carla RamalhoCardiothoracic Surgery Department, Centro Hospitalar Universitário de São João, 4200-319, Porto, Portugal.
Rui VitorinoCardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal.
Inês Falcão-PiresCardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal.
António S BarrosCardiovascular R&D Centre - UnIC@RISE, Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Alameda Prof. Hernâni Monteiro, 4200-319, Porto, Portugal. asbarros@med.up.pt.

Funding

European Regional Development Fund NORTE-01-0145-FEDER-000039Fundação para a Ciência e a Tecnologia RTP Maratona da Saúde 2017Fundação para a Ciência e a Tecnologia SFRH/BD/138925/2018Fundação para a Ciência e a Tecnologia SFRH/BD/144982/2019Fundação para a Ciência e a Tecnologia UIBD1523062021Fundação para a Ciência e a Tecnologia UIDP/00051/2020Horizon 2020 program of the European Union EPIC-XS, project number 318Sociedade Portuguesa de Cardiologia Bolsa de Estudo João PortoSociedade Portuguesa de Cardiologia Prémio Saúde Cardiovascular da Mulher
6 · The paper itself

Abstract

The association of postpartum cardiac reverse remodeling (RR) with urinary proteome, particularly in pregnant women with cardiovascular (CV) risk factors who show long-term increased risk of cardiovascular disease and mortality is unknown. We aim to profile the urinary proteome in pregnant women with/without CV risk factors to identify proteins associated with postpartum RR. Our study included a prospective cohort of 32 healthy and 27 obese and/or hypertensive and/or diabetic pregnant women who underwent transthoracic echocardiography, pulse-wave-velocity, and urine collection at the 3rd trimester and 6 months postpartum. Shotgun HPLC-MS/MS profiled proteins. Generalized linear mixed-effects models were used to identify associations between urinary proteins and left ventricle mass (LVM), a surrogate of RR. An increase in arterial stiffness was documented from 3rd trimester to 6 months after delivery, being significantly elevated in women with CV risk factors. In addition, the presence of at least one CV risk factor was associated with worse LVM RR. We identified 6 and 11 proteins associated with high and low LVM regression, respectively. These proteins were functionally linked with insulin-like growth factor (IGF) transport and uptake regulation by IGF binding-proteins, platelet activation, signaling and aggregation and the immune system's activity. The concentration of IGF-1 in urine samples was associated with low LVM regression after delivery. Urinary proteome showed a predicting potential for identifying pregnant women with incomplete postpartum RR.

Indexed as

Postpartum PeriodProteomeVentricular RemodelingAdultBiomarkersEchocardiographyFemaleHumansPregnancyProspective StudiesRisk FactorsVascular StiffnessBiomarkersProteomeCardiovascular reverse remodelingCardiovascular risk factorHemodynamic overloadPregnancyProteomeUrine

Identifiers

PMID38937573
PMCPMC11211500

What Socratic holds

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LicenceCC BY
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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.