Evidence map›Paper›PMID 39292264›Full record

ArticleEuropean journal of nutrition2024

Association between plant and animal protein and biological aging: findings from the UK Biobank.

Xiaoqing Xu, Jinxia Hu, Xibo Pang, Xuanyang Wang, Huan Xu, Xuemin Yan, Jia Zhang, Sijia Pan, Wei Wei, Ying Li

Abstract read
In one paragraph

Article in European journal of nutrition, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. 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

10 authors.

Xiaoqing XuDepartment of Nutrition and Food Hygiene, School of Public Health, The National Key Discipline, Harbin Medical University, Harbin, 150081, China.ORCID http://orcid.org/0000-0003-3065-1392
Jinxia HuDepartment of Nutrition and Food Hygiene, School of Public Health, The National Key Discipline, Harbin Medical University, Harbin, 150081, China.
Xibo PangDepartment of Nutrition and Food Hygiene, School of Public Health, The National Key Discipline, Harbin Medical University, Harbin, 150081, China.
Xuanyang WangDepartment of Nutrition and Food Hygiene, School of Public Health, The National Key Discipline, Harbin Medical University, Harbin, 150081, China.
Huan XuDepartment of Nutrition and Food Hygiene, School of Public Health, The National Key Discipline, Harbin Medical University, Harbin, 150081, China.
Xuemin YanDepartment of Nutrition and Food Hygiene, School of Public Health, The National Key Discipline, Harbin Medical University, Harbin, 150081, China.
Jia ZhangDepartment of Nutrition and Food Hygiene, School of Public Health, The National Key Discipline, Harbin Medical University, Harbin, 150081, China.
Sijia PanDepartment of Nutrition and Food Hygiene, School of Public Health, The National Key Discipline, Harbin Medical University, Harbin, 150081, China.
Wei WeiDepartment of Nutrition and Food Hygiene, School of Public Health, The National Key Discipline, Harbin Medical University, Harbin, 150081, China.
Ying LiDepartment of Nutrition and Food Hygiene, School of Public Health, The National Key Discipline, Harbin Medical University, Harbin, 150081, China. liying_helen@163.com.

Funding

National Natural Science Foundation 82030100
6 · The paper itself

Abstract

purposeThis study aimed to evaluate the relationship between plant protein, animal protein and biological aging through different dimensions of biological aging indices. Then explore the effects of substitution of plant protein, animal protein, and their food sources on biological aging.

methodsThe data came from 79,294 participants in the UK Biobank who completed at least two 24-h dietary assessments. Higher Klemera-Doubal Method Biological Age (HKDM-BA), higher PhenoAge (HPA), higher allostatic load (HAL), and longer telomere length (LTL) were estimated to assess biological aging. Logistic regression was used to estimate protein-biological aging associations. Substitution model was performed to assess the effect of dietary protein substitutions.

resultsPlant protein intake was inversely associated with HKDM-BA, HPA, HAL, and positively associated with LTL (odds ratios after fully adjusting and comparing the highest to the lowest quartile: 0.83 (0.79-0.88) for HKDM-BA, 0.86 (0.72-0.94) for HPA, 0.90 (0.85-0.95) for HAL, 1.06 (1.01-1.12) for LTL), while animal protein was not correlated with the four indices. Substituting 5% of energy intake from animal protein with plant protein, replacing red meat or poultry with whole grains, and replacing red or processed meat with nuts, were negatively associated with HKDM-BA, HPA, HAL and positively associated with LTL. However, an inverse association was found when legumes were substituted for yogurt. Gamma glutamyltransferase, alanine aminotransferase, and aspartate aminotransferase mediated the relationship between plant protein and HKDM-BA, HPA, HAL, and LTL (mediation proportion 11.5-24.5%; 1.9-6.7%; 2.8-4.5%, respectively).

conclusionHigher plant protein intake is inversely associated with biological aging. Although there is no association with animal protein, food with animal proteins displayed a varied correlation.

Indexed as

AgingBiological Specimen BanksAdultAgedAnimal Proteins, DietaryAnimalsDietDietary ProteinsFemaleHumansMaleMiddle AgedPlant ProteinsPlant Proteins, DietaryUK BiobankUnited KingdomAnimal Proteins, DietaryDietary ProteinsPlant ProteinsPlant Proteins, DietaryAnimal proteinBiological agingDietary protein food sourcesPlant proteinSubstitutionUK Biobank

Identifiers

PMID39292264
PMCPMC11519226

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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 Socratic graph.