Evidence map›Paper›PMID 35221682›Full record

ArticleClinical interventions in aging2021

Metabolomics Study of Isocaloric Different Dietary Patterns on the Life Span in Healthy Population.

Cong Zhang, Qingna Yan, Qiushuang Zhu, Jinxiao Liu, Yuanjie Dong, Yuqiao Li, Ruohua Wang, Xuanfeng Tang, Xinyi Lv, Xiaoqing Li and 2 more

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 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 36% 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, 4 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

12 authors at 1 institution in 1 country.

Cong Zhang *Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People's Republic of China.
Qingna Yan *Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People's Republic of China.
Qiushuang Zhu *Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People's Republic of China.
Jinxiao Liu *Department of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People's Republic of China.
Yuanjie DongDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People's Republic of China.
Yuqiao LiDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People's Republic of China.
Ruohua WangDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People's Republic of China.
Xuanfeng TangDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People's Republic of China.
Xinyi LvDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People's Republic of China.
Xiaoqing LiDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People's Republic of China.
Yunjiang CaiNursing College of Daqing Campus of Harbin Medical University, Daqing, 163319, People's Republic of China.
Yucun NiuDepartment of Nutrition and Food Hygiene, Public Health College, Harbin Medical University, Harbin, 150086, People's Republic of China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHow to prolong life by diet has been widely concerned. There are many reports about the effects of different dietary patterns on life span, but the results are not consistent. The main reason may be that total energy intake has not been considered. This study aims to explore the effects of isocaloric different dietary patterns on population life span. MATERIALS AND

methodsFrom the data of the follow-up population, eligible participators were divided into normal control (NC) group (28.31% fat, 12.37% protein, 62.30% carbohydrate), isocaloric high-fat (IHF) group (38.39% fat, 12.21% protein, 51.32% carbohydrate), isocaloric high-protein (IHP) group (33.41% fat, 17.10% protein, 52.67% carbohydrate) and isocaloric high-carbohydrate (IHC) group (22.23% fat, 10.52% protein, 70.13% carbohydrate) according to the dietary structure and the age stratification. Global serum metabolic profiling analysis by UPLC-Q-TOF-MS/MS technology, fatty acid and amino acid profiles in serum were determined by GC-MS and UPLC-TQ-MS technology. One-way ANOVA followed by Dunnett post hoc test and receiver operating characteristic (ROC) curve analysis were used to statistical analysis.

resultsNon-targeted metabolomics was to identify 18 potential metabolites related to longevity. ROC curve analysis to identify biomarkers indicated that the areas under the ROC (AUC) of the 12 of 18 biomarkers are above 0.9. The 12 biomarkers were mainly enriched in three metabolic pathways: lipid metabolism, amino acid metabolism and tricarboxylic acid cycle. Compared to control, 11 and 10 of 12 biomarkers showed the same trend with aging in IHP and IHC groups, respectively. Conversely, no differences were observed between IHF group and NC group.

conclusionWithout consideration of the nature of carbohydrates, fats and proteins, IHP and IHC diets might shorten life span by influencing amino acid metabolism, lipid metabolism and tricarboxylic acid cycle metabolism, while the isocaloric IHF diet has no effects on longevity.

Indexed as

LongevityTandem Mass SpectrometryBiomarkersDietEnergy IntakeHumansMetabolomicsBiomarkersamino acidbiomarkersfatty acidmetabolomics

Identifiers

PMID35221682
PMCPMC8866994
OpenAlexW4200382263

What OpenQuestion holds

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LicenceCC BY-NC
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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.