| Literature DB >> 36033236 |
Xuchao Gu1,2, Wenhao Wang1,2, Yijing Yang1,2, Yiming Lei1,2, Dehua Liu1,2, Xiaojun Wang1,2, Tao Wu1,2.
Abstract
Sarcopenia is an age-related systemic disease characterized by skeletal muscle aging that generally severely affects the quality of life of elderly patients. Metabolomics analysis is a powerful tool for qualitatively and quantitatively characterizing the small molecule metabolomics of various biological matrices in order to clarify all key scientific problems concerning cell metabolism. The discovery of optimal therapy requires a thorough understanding of the cellular metabolic mechanism of skeletal muscle aging. In this review, the relationship between skeletal muscle mitochondria, amino acid, vitamin, lipid, adipokines, intestinal microbiota and vascular microenvironment has been separately reviewed from the perspective of metabolomics, and a new therapeutic direction has been suggested.Entities:
Keywords: intestinal microbiota; metabolomics; mitochondria; sarcopenia; vascular endothelium
Mesh:
Year: 2022 PMID: 36033236 PMCID: PMC9416380 DOI: 10.2147/CIA.S376668
Source DB: PubMed Journal: Clin Interv Aging ISSN: 1176-9092 Impact factor: 3.829
Clinical Study on Metabolomics of Sarcopenia
| Country or Region | Research Design | Age (Case/Control) | Number (Case/Control) | Eligibility Criteria | Tissue | Key Metabolites | PMID |
|---|---|---|---|---|---|---|---|
| America | Cross-sectional study | 77.7±3.9/0 | 73/0 | SPPB≤10 | Blood | Leucine, isoleucine, valine, tryptophan, 3-hydroxy-2-ethylpropionic acid, indole propionic acid, C-glycosyltryptophan, β- alanine | 24085401 |
| Singapore | Cross-sectional study | 73.9±5.3/72.52±5.25 | 87/102 | AWGS criteria | Blood | Adiponectin, leptin, lysine, methionine, phenylalanine, threonine, BCAA, choline, nicotine metabolites | 30624690 |
| Italy | Cross-sectional study | 75.5±3.9/73.9±3.2 | 18/17 | PF&S criteria | Blood/stool | Butyrate, aspartate, threonine | 31887978 |
| China | Cross-sectional study | 80.9±8.5/78.6±7.4 | 65/181 | AWGS criteria | Blood | Isoleucine, leucine, BCAA, tryptophan, glycine, glutamate, C6, C8, C10, C12, C14, LPC16.0, LPC18.0, LPC18:2 | 35337292 |
| Taiwan, China | Cross-sectional study | 79.4±6.2/79.0±5.9/29.3±4.3 | 24/24/24 | Low muscle mass (Male<6.76; Female<5.28) | Blood | Traumatic acid | 34939349 |
| China | Cross-sectional study | 79.9±8.2/78.0±7.0 | 150/96 | Fried&AWGS criteria | Blood | Tryptophan, glycine, C5, LPC16:0, LPC18:2, C8, C10, C12, C14 | 35155500 |
| Netherlands | Cross-sectional study | 81/72 | 53/174 | EWGSOP criteria | Blood | N-3 fatty acids, vitamin B6, folic acid, vitamin E, magnesium, linoleic acid, homocysteine, leucine, BCAA, EAA, 1,25 (OH) D | 26825685 |
| Japan | Cross-sectional study | 83.1±6.2/76.0±6.5 | 49/94 | AWGS criteria | Blood | BCAA, EAA, leucine | 30080226 |
| Japan | Cross-sectional study | 85.1±4.8/76.1±6.3 | 28/132 | AWGS criteria | Blood | Proline, alanine, glutamine, tryptophan | 28934309 |
| Norway | Cross-sectional study | 78/74 | 90/327 | EWGSOP criteria | Blood | Leucine, isoleucine, valine | 29909813 |
| Italy | Cross-sectional study | 76.4±4.9/74.6±4.3 | 38/30 | PF&S criteria | Blood | Asparagine, aspartate, citrulline, ethanolamine, glutamate, sarcosine, taurine | 30404172 |
| Japan | Cross-sectional study | 85.0±8.6/83.8±6.3 | 6/13 | AWGS criteria | Blood | Short chain carnitine, TCA metabolites, urea cycle metabolites, methylated compounds | 34492634 |
| China | Prospective study | 73.3±5.2/71.4±4.6 | 326/2284 | AWGS criteria | Blood | Serine, taurine, arginine, BCAA | 34515116 |
| Japan | Cross-sectional study | 75.9±5.7/64.9±10.5 | 39/453 | AWGS criteria | Blood | Citrulline, glycine, taurine | 33924750 |
| China | Cross-sectional study | Male:87/82; Female:81.5/81 | 77/76 | AWGS criteria | Blood | Glutamate, citrulline, BCAA, aspartate, asparagine | 33410783 |
Abbreviations: SPPB, short physical performance battery; AWGS, the Asian Working Group for Sarcopenia; EWGSOP, the European Working Group on Sarcopenia in Older People; BCAA, branched chain amino acid; LPC, lysophosphatidylcholine; EAA, essential amino acids; TCA, tricarboxylic acid.
Figure 1Under normal circumstances, the intestinal microbiota, such as Faecalibacterium prausnitzii and Lactobacillus casei, promotes the physiology of mitochondria to protect skeletal muscle by maintaining antioxidant and anti-inflammatory capacity. However, dysregulated intestinal flora, the reduction of Bacteroides and excessive growth of phylum Firmicutes, leads to the release of inflammatory factors. These inflammatory factors spread from the intestine and damage mitochondria and skeletal muscle.
Figure 2The effect of amino acid and lipid metabolism on mitochondrial function of skeletal muscle. (A) The process of BCAA and taurine degraded to Acetyl-CoA in mitochondrial energy metabolism is explained. Tryptophan and aspartate act as the core components of NAD+ metabolism. BCAA, taurine, tryptophan and aspartate can activate mTORC1 signaling and promote mitochondrial function. Glutamate participates in NAD+ metabolism through GOT1. Serine, methionine and sarcosine are involved in mitochondria related single carbon metabolism. (B) LCFA, MCFA and SCFA can promote β-oxidation to increase ATP production, but LCFA and MCFA can also inhibit mTORC1 and reduce mitochondrial function. LPC leads to the production of ROS in mitochondria through NOX5. Cardiolipin produced by LCFA, MCFA and LPC can promote mitochondrial division and fusion. SCFA, LPC, adiponectin and leptin can improve mitochondrial energy metabolism through AMPK.