Evidence map›Paper›PMID 27608039›Full record

ArticleNutrients2016

Associations between Dietary Patterns, ADRβ2 Gln27Glu and ADRβ3 Trp64Arg with Regard to Serum Triglyceride Levels: J-MICC Study.

Hinako Nanri, Yuichiro Nishida, Kazuyo Nakamura, Keitaro Tanaka, Mariko Naito, Guang Yin, Nobuyuki Hamajima, Naoyuki Takashima, Sadao Suzuki, Yora Nindita and 7 more

Abstract read
In one paragraph

Article in Nutrients, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. 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

17 authors.

Hinako NanriDepartment of Public Health, Showa University School of Medicine, Tokyo 142-8555, Japan. nanrih@med.showa-u.ac.jp.
Yuichiro NishidaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga 849-8501, Japan. ynishida@cc.saga-u.ac.jp.
Kazuyo NakamuraSt. Mary's College Faculty of Nursing, Kurume 830-8558, Japan. k-nakamura@st-mary.ac.jp.
Keitaro TanakaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga 849-8501, Japan. tanakake@post.saga-med.ac.jp.
Mariko NaitoDepartment of Preventive Medicine Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan. mnaito@med.nagoya-u.ac.jp.
Guang YinDepartment of Nutritional Sciences, Faculty of Health and Welfare, Seinan Jo Gakuin University, Fukuoka 803-0835, Japan. yinguang@seinan-jo.ac.jp.
Nobuyuki HamajimaDepartment of Healthcare Administration, Nagoya University Graduate School of Medicine, Nagoya 466-8550, Japan. nhamajim@med.nagoya-u.ac.jp.
Naoyuki TakashimaDepartment of Health Science, Shiga University of Medical Science, Ohtsu 520-2192, Japan. takasima@belle.shiga-med.ac.jp.
Sadao SuzukiDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya 467-8601, Japan. ssuzuki@med.nagoya-cu.ac.jp.
Yora NinditaGraduate School of Medical and Dental Sciences, Department of International Island and Community Medicine, Kagoshima University, Kagoshima 890-8520, Japan. yora@m.kufm.kagoshima-u.ac.jp.
Michiko KohnoDepartment of Medicine and Bioregulatory Science, Graduate School of Medical Sciences, Kyushu University, Fukuoka 812-8582, Japan. mkohno@intmed3.med.kyushu-u.ac.jp.
Hirokazu UemuraDepartment of Preventive Medicine, Institute of Health Biosciences, the University of Tokushima Graduate School, Tokushima 770-8503, Japan. uemura.hirokazu@tokushima-u.ac.jp.
Teruhide KoyamaDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine Graduate School of Medical Science, Kyoto 602-8566, Japan. tkoyama@koto.kpu-m.ac.jp.
Satoyo HosonoDivision of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya 464-8681, Japan. shosono@aichi-cc.jp.
Haruo MikamiDivision of Cancer Registry, Prevention and Epidemiology, Chiba Cancer Center, Chiba 260-8717, Japan. hmikami@chiba-cc.jp.
Michiaki KuboCenter for Integrative Medical Sciences, RIKEN, Yokohama 230-0045, Japan. michiaki.kubo@riken.jp.
Hideo TanakaDivision of Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya 464-8681, Japan. tanaka_sec@aichi-cc.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Interactions between dietary patterns and 2 β-adrenergic receptor (ADRβ) gene polymorphisms (ADRβ2 Gln27Glu and ADRβ3 Trp64Arg) were examined with regard to the effects on serum triglyceride levels. The cross-sectional study comprised 1720 men and women (aged 35-69 years) enrolled in the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study. Genotyping was conducted using a multiplex polymerase chain reaction-based invader assay. We used 46 items from a validated short food frequency questionnaire and examined major dietary patterns by factor analysis. We identified four dietary patterns: healthy, Western, seafood and bread patterns. There was no significant association between any dietary pattern and serum triglyceride levels. After a separate genotype-based analysis, significant interactions between ADRβ3 Trp64Arg genotype and the bread pattern (p for interaction = 0.01) were associated with serum triglyceride levels; specifically, after adjusting for confounding factors, Arg allele carriers with the bread pattern had lower serum triglycerides (p for trend = 0.01). However, the Trp/Trp homozygous subjects with the bread pattern showed no association with serum triglycerides (p for trend = 0.55). Interactions between other dietary patterns and ADRβ polymorphisms were not significant for serum triglyceride levels. Our findings suggest that ADRβ3 polymorphism modifies the effects of the bread pattern on triglyceride levels.

Indexed as

DietPolymorphism, GeneticAdultAgedAllelesCohort StudiesCross-Sectional StudiesFemaleGenotyping TechniquesHeterozygoteHomozygoteHumansJapanLinear ModelsMaleMiddle AgedADRB2 protein, humanADRB3 protein, humanReceptors, Adrenergic, beta-2Receptors, Adrenergic, beta-3Triglyceridesdietary patternfactor analysispolymorphismtriglycerideβ-adrenergic receptor (ADRβ)

Identifiers

PMID27608039
PMCPMC5037531

What OpenQuestion holds

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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.