Evidence map›Paper›PMID 31444321›Full record

ArticleTranslational psychiatry2019

Blood plasma metabolic profiling of pregnant women with antenatal depressive symptoms.

Hanna E Henriksson, Christina Malavaki, Emma Bränn, Vasilis Drainas, Susanne Lager, Stavros I Iliadis, Fotios C Papadopoulos, Inger Sundström Poromaa, George P Chrousos, Maria I Klapa and 1 more

Open access · goldAbstract read
In one paragraph

Article in Translational psychiatry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 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

11 authors at 5 institutions in 2 countries.

Hanna E HenrikssonDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Christina MalavakiMetabolic Engineering & Systems Biology Laboratory, Institute of Chemical Engineering Sciences, Foundation for Research and Technology-Hellas (FORTH/ICE-HT), Patras, Greece.
Emma BrännDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Vasilis DrainasMetabolic Engineering & Systems Biology Laboratory, Institute of Chemical Engineering Sciences, Foundation for Research and Technology-Hellas (FORTH/ICE-HT), Patras, Greece.
Susanne LagerDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.ORCID http://orcid.org/0000-0003-3556-065X
Stavros I IliadisDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
Fotios C PapadopoulosDepartment of Neuroscience, Psychiatry, Uppsala University, Uppsala, Sweden.
Inger Sundström PoromaaDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden.
George P ChrousosFirst Department of Pediatrics, Athens University Medical School, Athens, Greece.
Maria I KlapaMetabolic Engineering & Systems Biology Laboratory, Institute of Chemical Engineering Sciences, Foundation for Research and Technology-Hellas (FORTH/ICE-HT), Patras, Greece. mklapa@iceht.forth.gr.
Alkistis SkalkidouDepartment of Women's and Children's Health, Uppsala University, Uppsala, Sweden. alkistis.skalkidou@kbh.uu.se.
Uppsala University · SEAthens Medical Center · GRFORTH Institute of Chemical Engineering Sciences · GRFoundation for Research and Technology Hellas · GRUniversity of Patras · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antenatal depression affects ~9-19% of pregnant women and can exert persistent adverse effects on both mother and child. There is a need for a deeper understanding of antenatal depression mechanisms and the development of tools for reliable diagnosis and early identification of women at high risk. As the use of untargeted blood metabolomics in the investigation of psychiatric and neurological diseases has increased substantially, the main objective of this study was to investigate whether untargeted gas chromatography-mass spectrometry (GC-MS) plasma metabolomics in 45 women in late pregnancy, residing in Uppsala, Sweden, could indicate metabolic differences between women with and without depressive symptoms. Furthermore, seasonal differences in the metabolic profiles were explored. When comparing the profiles of cases with controls, independently of season, no differences were observed. However, seasonal differences were observed in the metabolic profiles of control samples, suggesting a favorable cardiometabolic profile in the summer vs. winter, as indicated by lower glucose and sugar acid concentrations and lactate to pyruvate ratio, and higher abundance of arginine and phosphate. Similar differences were identified between cases and controls among summer pregnancies, indicating an association between a stressed metabolism and depressive symptoms. No depression-specific differences were apparent among depressed and non-depressed women, in the winter pregnancies; this could be attributed to an already stressed metabolism due to the winter living conditions. Our results provide new insights into the pathophysiology of antenatal depression, and warrant further investigation of the use of metabolomics in antenatal depression in larger cohorts.

Indexed as

AdultCross-Sectional StudiesDepressionFemaleGas Chromatography-Mass SpectrometryHumansMetabolomeMetabolomicsPregnancyPregnancy ComplicationsSweden

Identifiers

PMID31444321
PMCPMC6707960
OpenAlexW2945303497

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.