Evidence map›Paper›PMID 37207066›Full record

ArticleJPGN reports2021

Milk Phospholipid Profiling Among Japanese Women with Differing Docosahexaenoic Acid Levels.

Hiroshi M Ueno, Andrew MacKenzie, Dawn Scott, Satoshi Higurashi, Yasuhiro Toba, Toshiya Kobayashi

Open access · hybridAbstract read
In one paragraph

Article in JPGN reports, 2021. 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
0.5field-weighted citation impact, top 40% 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, 7 citations in OpenAlex.

  1. Article
  2. 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.

Hiroshi M UenoFrom the Research and Development Department, Bean Stalk Snow Co., Ltd., Kawagoe, Japan.
Andrew MacKenzieCallaghan Innovation, Wellington, New Zealand.
Dawn ScottCallaghan Innovation, Wellington, New Zealand.
Satoshi HigurashiFrom the Research and Development Department, Bean Stalk Snow Co., Ltd., Kawagoe, Japan.
Yasuhiro TobaFrom the Research and Development Department, Bean Stalk Snow Co., Ltd., Kawagoe, Japan.
Toshiya KobayashiFrom the Research and Development Department, Bean Stalk Snow Co., Ltd., Kawagoe, Japan.
Megmilk Snow Brand (Japan) · JPCallaghan Innovation · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To characterize the milk phospholipids (PLs) profile using phosphorus-31 nuclear magnetic resonance ( Methods: Milk samples from eligible patients with high and low DHA from a former cross-sectional study (n = 20; n = 10 for each group) were included. Fifteen milk PLs were analyzed using Results: The median DHA content in milk was 1.13% and 0.29% for the high and low milk DHA groups, respectively. Twelve PLs, excluding lysophosphatidylserine, cardiolipin, and phosphatidylglycerol, were detected in all participants with 100% positive results. The median concentrations and proportions of total PLs, sphingophospholipids, and glycerophospholipids were comparable between groups. The proportions of choline-containing glycerophospholipid were significantly higher in the high milk DHA group than that in the low milk DHA group (24.09% [median, interquartile range: 23.08%-26.38%] and 21.41% [20.74%-22.84%], Conclusions: Our results were comparable to that of the previous literature. Large variations in the milk DHA might affect the composition of choline-containing glycerophospholipids in Japanese mothers. However, possible confounders were not excluded in the study populations.

Indexed as

human milkphosphorus-31 nuclear magnetic resonancepolar lipids

Identifiers

PMID37207066
PMCPMC10191534
OpenAlexW3147791467

What OpenQuestion holds

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LicenceCC BY
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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.