Evidence map›Paper›PMID 36558480›Full record

ArticleNutrients2022

Correlation between Mild Cognitive Impairment and Sarcopenia: The Prospective Role of Lipids and Basal Metabolic Rate in the Link.

Xuan Wang, Rong Xiao, Hongrui Li, Tiantian Li, Lizheng Guan, Huini Ding, Xiaoying Li, Huaguang Zheng, Kang Yu, Ai Zhao and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. Observational
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  6. Article
  7. Review
  8. Article
  9. LC/MS-Based Untargeted Lipidomics Reveals Lipid Signatures of Sarcopenia.International journal of molecular sciences · 2024
    Article
  10. Article
  11. The role of dietary fats on cognition and sarcopenia in the elderly.Asia Pacific journal of clinical nutrition · 2024
    Article
  12. Article
  13. Article
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  15. Review
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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 4 institutions in 1 country.

Xuan WangBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Rong XiaoBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Hongrui LiBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Tiantian LiBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.ORCID 0000-0002-6630-3202
Lizheng GuanBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Huini DingBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Xiaoying LiBeijing Jishuitan Hospital, Beijing 100035, China.
Huaguang ZhengBeijing Tiantan Hospital, Capital Medical University, Beijing 100050, China.
Kang YuPeking Union Medical College Hospital, Beijing 100730, China.
Ai ZhaoWanke School of Public Health, Tsinghua University, Beijing 100190, China.ORCID 0000-0001-8357-594X
Wannian LiangWanke School of Public Health, Tsinghua University, Beijing 100190, China.
Yuandi XiBeijing Key Laboratory of Environmental Toxicology, School of Public Health, Capital Medical University, Beijing 100069, China.
Capital Medical University · CNTsinghua University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNPeking University · CN

Funding

Danone Institutes Research Prizes of China for Alimentation DIC2019-02DSM Special Research Foundation CNS-DSM2018A31Feihe Special Fund for Physical Nutrition and Health CNS-Feihe2021-110National Natural Science Foundation of China 81973018National Natural Science Foundation of China 82273620
6 · The paper itself

Abstract

There is evidence of correlation between mild cognitive impairment (MCI) and sarcopenia (SA). However, the influencing factors and the mechanism, such as age-related lipid redistribution, remain unknown. This study aimed to clarify the role of dietary fats and erythrocyte lipids profile combined with basal metabolic rate (BMR) in the link between MCI and SA. A total of 1050 participants aged 65 to 85 were divided into control, MCI, SA and MCI and SA groups. Bioelectrical impedance analysis was used to evaluate appendicular lean mass and BMR. Cognition and dietary nutrition were detected by neuropsychological tests and food frequency questionnaires. UHPLC-QExactive-MS/MS and UHPLC-Qtrap-MS/MS were used to conduct the lipidomics analysis. Lower dietary intake of different phospholipids, unsaturated fatty acids and kinds of choline were significantly associated with MCI and SA. Least absolute shrinkage and selection operator, multivariate logistic regression, receiver operating characteristic curve and validation tests provided evidence that specific phospholipids, unsaturated fatty acids and BMR might be the critical factors in the processing of MCI and SA, as well as in their link. The lipidomic analysis observed a clear discrimination of the lipid profiles in the individuals who are in MCI, SA, or MCI and SA, compared with the control. Lower expressions in certain phospholipid species, such as sphingomyelin and phosphatidylethanolamines, decreased phosphatidylcholine with more unsaturated double bonds, lower level of lipids with C20:5 and C20:4, higher level of lipids with C18:2 and lipids with a remodeled length of acyl chain, might be closely related to the link between MCI and SA. Inadequate dietary intake and lower concentrations of the erythrocyte lipid profile of phospholipids and unsaturated fatty acids with a lower level of BMR might be the key points that lead to progress in MCI and SA, as well as in their link. They could be used as the prospective biomarkers for the higher risk of cognitive decline and/or SA in elderly population.

Indexed as

Cognitive DysfunctionSarcopeniaAgedBasal MetabolismDietary FatsFatty Acids, UnsaturatedHumansPhospholipidsTandem Mass SpectrometryDietary FatsFatty Acids, UnsaturatedPhospholipidsdietary fatslipidomicslipid profilemild cognitive impairmentsarcopenia

Identifiers

PMID36558480
PMCPMC9783732
OpenAlexW4311612782

What OpenQuestion holds

Textmetadata
LicenceCC BY
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 OpenQuestion graph.