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For: Canfield C, Bradshaw PC. Amino acids in the regulation of aging and aging-related diseases. Translational Medicine of Aging 2019;3:70-89. [DOI: 10.1016/j.tma.2019.09.001] [Cited by in Crossref: 16] [Cited by in F6Publishing: 5] [Article Influence: 5.3] [Reference Citation Analysis]
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7 Xu S, Ma Z, Chen Y, Li J, Jiang H, Qu T, Zhang W, Li C, Liu S. Characterization of the flavor and nutritional value of coconut water vinegar based on metabolomics. Food Chem 2022;369:130872. [PMID: 34455324 DOI: 10.1016/j.foodchem.2021.130872] [Cited by in Crossref: 3] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
8 Delfarah A, Hartel NG, Zheng D, Yang J, Graham NA. Identification of a Proteomic Signature of Senescence in Primary Human Mammary Epithelial Cells. J Proteome Res 2021;20:5169-79. [PMID: 34637314 DOI: 10.1021/acs.jproteome.1c00659] [Reference Citation Analysis]
9 Kaya A, Phua CZJ, Lee M, Wang L, Tyshkovskiy A, Ma S, Barre B, Liu W, Harrison BR, Zhao X, Zhou X, Wasko BM, Bammler TK, Promislow DE, Kaeberlein M, Gladyshev VN. Evolution of natural lifespan variation and molecular strategies of extended lifespan in yeast. Elife 2021;10:e64860. [PMID: 34751131 DOI: 10.7554/eLife.64860] [Reference Citation Analysis]
10 Le Couteur DG, Solon-Biet SM, Cogger VC, Ribeiro R, de Cabo R, Raubenheimer D, Cooney GJ, Simpson SJ. Branched chain amino acids, aging and age-related health. Ageing Res Rev 2020;64:101198. [PMID: 33132154 DOI: 10.1016/j.arr.2020.101198] [Cited by in Crossref: 38] [Cited by in F6Publishing: 21] [Article Influence: 19.0] [Reference Citation Analysis]
11 Boehme M, Guzzetta KE, Bastiaanssen TFS, van de Wouw M, Moloney GM, Gual-grau A, Spichak S, Olavarría-ramírez L, Fitzgerald P, Morillas E, Ritz NL, Jaggar M, Cowan CSM, Crispie F, Donoso F, Halitzki E, Neto MC, Sichetti M, Golubeva AV, Fitzgerald RS, Claesson MJ, Cotter PD, O’leary OF, Dinan TG, Cryan JF. Microbiota from young mice counteracts selective age-associated behavioral deficits. Nat Aging 2021;1:666-76. [DOI: 10.1038/s43587-021-00093-9] [Cited by in Crossref: 19] [Cited by in F6Publishing: 7] [Article Influence: 19.0] [Reference Citation Analysis]
12 Cisterna B, Sobolev AP, Costanzo M, Malatesta M, Zancanaro C. Combined Microscopic and Metabolomic Approach to Characterize the Skeletal Muscle Fiber of the Ts65Dn Mouse, A Model of Down Syndrome. Microsc Microanal 2020;26:1014-23. [PMID: 32867866 DOI: 10.1017/S143192762002437X] [Cited by in Crossref: 1] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]