ArticleFrontiers in aging neuroscience2022
Alteration of plasma metabolic profile and physical performance combined with metabolites is more sensitive to early screening for mild cognitive impairment.
Article in Frontiers in aging neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Global research trends and hotspots of short-chain fatty acids in cognitive impairment: a bibliometric analysis based on two databases.Frontiers in medicine · 2026Pooled it
- A Phase II Clinical Study on Apatinib Plus Vinorelbine in Refractory HER2-Negative Breast Cancer and its Metabolic Implications of Drug Resistance.Current cancer drug targets · 2025Trial
- Association of dietary lecithin intake with mild cognitive impairment and cognitive performance in elderly population.Chinese medical journal · 2026Article
- Serum metabolomic profiling following cerebellar repetitive transcranial magnetic stimulation combined with cognitive training on Alzheimer's disease.Frontiers in neurology · 2026Article
- Lecithin Alleviates Memory Deficits and Muscle Attenuation in Chinese Older Adults and SAMP8 Mice.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Article
- Insomnia, Cognitive Impairment, or a Combination of Both, Alter Lipid Metabolism Due to Changes in Acylcarnitine Concentration in Older Persons.Metabolites · 2025Article
- Study on plasma metabolomics profiling of depression in Chinese community-dwelling older adults based on untargeted LC/GC‒MS.Scientific reports · 2024Article
- Metabolic signatures and potential biomarkers of sarcopenia in suburb-dwelling older Chinese: based on untargeted GC-MS and LC-MS.Skeletal muscle · 2024Article
- Metabolic signatures and risk of sarcopenia in suburb-dwelling older individuals by LC-MS-based untargeted metabonomics.Frontiers in endocrinology · 2024Article
- Finding the best predictive model for hypertensive depression in older adults based on machine learning and metabolomics research.Frontiers in psychiatry · 2024Article
- Discovery of potential biomarkers for osteoporosis using LC/GC-MS metabolomic methods.Frontiers in endocrinology · 2023Article
- Human endogenous retroviruses and the inflammatory response: A vicious circle associated with health and illness.Frontiers in immunology · 2022Review
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Unbiased metabolic profiling has been initiated to identify novel metabolites. However, it remains a challenge to define reliable biomarkers for rapid and accurate diagnosis of mild cognitive impairment (MCI). Our study aimed to evaluate the association of serum metabolites with MCI, attempting to find new biomarkers and combination models that are distinct for MCI. Methods: A total of 380 participants were recruited (mean age: 72.5 ± 5.19 years). We performed an untargeted metabolomics analysis on older adults who underwent the Mini-Mental State Examination (MMSE), the Instrumental Activities of Daily Living (IADL), and physical performance tests such as hand grip, Timed Up and Go Test (TUGT), and walking speed. Orthogonal partial least squares discriminant analysis (OPLS-DA) and heat map were utilized to distinguish the metabolites that differ between groups. Results: Among all the subjects, 47 subjects were diagnosed with MCI, and methods based on the propensity score are used to match the MCI group with the normal control (NC) group ( Conclusion: In our study, untargeted metabolomics was used to detect the disturbance of metabolism that occurs in MCI. Physical performance tests combined with phosphatidylcholines (PCs) showed good utility in discriminating between NC and MCI, which is meaningful for the early diagnosis of MCI.
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