Evidence map›Paper›PMID 29984402›Full record

ReviewThe Journal of physiology2018

A systems perspective on placental amino acid transport.

Jane K Cleal, Emma M Lofthouse, Bram G Sengers, Rohan M Lewis

Open access · hybridAbstract readReview
In one paragraph

Review in The Journal of physiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

36 citing papers in PubMed, 63 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Jane K ClealFaculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0001-7978-4327
Emma M LofthouseFaculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0002-0175-5590
Bram G SengersInstitute of Life Sciences, University of Southampton, Southampton, UK.ORCID 0000-0001-5859-6984
Rohan M LewisFaculty of Medicine, University of Southampton, Southampton, UK.ORCID 0000-0003-4044-9104
University of Southampton · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L020823/1Biotechnology and Biological Sciences Research Council B/R002762/1
6 · The paper itself

Abstract

Placental amino acid transfer is a complex process that is essential for fetal development. Impaired amino acid transfer causes fetal growth restriction, which may have lifelong health consequences. Transepithelial transfer of amino acids across the placental syncytiotrophoblast requires accumulative, exchange and facilitated transporters on the apical and basal membranes to work in concert. However, transporters alone do not determine amino acid transfer and factors that affect substrate availability, such as blood flow and metabolism, may also become rate-limiting for transfer. In order to determine the rate-limiting processes, it is necessary to take a systems approach which recognises the interdependence of these processes. New technologies have the potential to deliver targeted interventions to the placenta and help poorly growing fetuses. While many factors are necessary for amino acid transfer, novel therapies need to target the rate-limiting factors if they are going to be effective. This review will outline the factors which determine amino acid transfer and describe how they become interdependent. It will also highlight the role of computational modelling as a tool to understand this process.

Indexed as

Amino AcidsBiological TransportFemaleHumansPlacentaPregnancySystems BiologyAmino Acidscomputational modellingfetal growth restrictiontrans-epithelial transport

Identifiers

PMID29984402
PMCPMC6265537
OpenAlexW2891845522

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.