Evidence map›Paper›PMID 34321534›Full record

ArticleScientific reports2021

Impacts of lipid-related metabolites, adiposity, and genetic background on blood eosinophil counts: the Nagahama study.

Kenta Nishi, Hisako Matsumoto, Noriyuki Tashima, Satoru Terada, Natsuko Nomura, Mariko Kogo, Chie Morimoto, Hironobu Sunadome, Tadao Nagasaki, Tsuyoshi Oguma and 8 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Sputum microbiota and inflammatory subtypes in asthma, COPD, and its overlap.The journal of allergy and clinical immunology. Global · 2024
    Article
  6. Article
  7. Article
  8. 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

18 authors at 1 institution in 1 country.

Kenta NishiDepartment of Respiratory Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Hisako MatsumotoDepartment of Respiratory Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan. matsumoto.hisako.v92@kyoto-u.jp.
Noriyuki TashimaDepartment of Respiratory Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Satoru TeradaDepartment of Respiratory Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Natsuko NomuraDepartment of Respiratory Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Mariko KogoDepartment of Respiratory Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Chie MorimotoDepartment of Respiratory Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Hironobu SunadomeDepartment of Respiratory Care and Sleep Control Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Tadao NagasakiDepartment of Respiratory Care and Sleep Control Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Tsuyoshi OgumaDepartment of Respiratory Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Yoshinari NakatsukaDepartment of Respiratory Care and Sleep Control Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Kimihiko MuraseDepartment of Respiratory Care and Sleep Control Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Takahisa KawaguchiCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Yasuharu TabaraCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Kazuhiro SonomuraCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Fumihiko MatsudaCenter for Genomic Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Kazuo ChinDepartment of Respiratory Care and Sleep Control Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan.
Toyohiro HiraiDepartment of Respiratory Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
Kyoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Blood eosinophil count is a useful measure in asthma or COPD management. Recent epidemiological studies revealed that body mass index (BMI) is positively associated with eosinophil counts. However, few studies focused on the role of adiposity and fatty acid-related metabolites on eosinophil counts, including the effect of genetic polymorphism. In this community-based study involving 8265 participants (30-74 year old) from Nagahama city, we investigated the relationship between eosinophil counts and serum levels of fatty acid-related metabolites. The role of MDC1, a gene that is related to eosinophil counts in our previous study and encodes a protein that is thought to be involved in the repair of deoxyribonucleic acid damage, was also examined taking into account its interaction with adiposity. Serum levels of linoleic acid (LA) and β-hydroxybutyric acid (BHB) were negatively associated with eosinophil counts after adjustment with various confounders; however, there were positive interactions between serum LA and BMI and between serum BHB and BMI/body fat percentages in terms of eosinophil counts. In never-smokers, there was positive interaction for eosinophil counts between the CC genotype of MDC1 rs4713354 and BMI/body fat percentages. In conclusion, both serum LA and BHB have negative impacts on eosinophil counts, while adiposity shows robust positive effects on eosinophil counts, partly via genetic background in never-smokers.

Indexed as

3-Hydroxybutyric AcidAdaptor Proteins, Signal TransducingAdiposityAdultAgedAsthmaBlood Cell CountBody Mass IndexCell Cycle ProteinsEosinophilsFemaleForced Expiratory VolumeHumansLeukocyte CountLinoleic AcidLipid Metabolism3-Hydroxybutyric AcidAdaptor Proteins, Signal TransducingCell Cycle ProteinsLinoleic AcidLipidsMDC1 protein, human

Identifiers

PMID34321534
PMCPMC8319143
OpenAlexW3186161144

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.