Nutrient intake is associated with longevity characterization by metabolites and element profiles of healthy centenarians

Nutrients

Volumn 8, Issue 9, 2016, Pages

  Cai, Da ^a   Zhao, Shancang ^b   Li, Danlei ^c   Chang, Fang ^d   Tian, Xiangxu ^d   Huang, Guohong ^a,e   Zhu, Zhenjun ^a   Liu, Dong ^a   Dou, Xiaowei ^f   Li, Shubo ^a   Zhao, Mouming ^a   Li, Quanyang ^a  

^a GUANGXI UNIVERSITY   (China)

^b SHANDONG PEANUT RESEARCH INSTITUTE   (China)

^c TIANJIN NORMAL UNIVERSITY   (China)

^d Jinan Acad of Enviroment Sciences   (China)

^e Guangxi Polytechnic   (China)

^f HARVARD MEDICAL SCHOOL   (United States)

Author keywords

Centenarian; Element; Longevous region; Metabolite; Nutrient intake; Partial least squares discriminant analysis; Pattern recognition

Indexed keywords

AMMONIA; BUTYRIC ACID; CREATININE; CRESOL; MANGANESE; PROPIONIC ACID; SHORT CHAIN FATTY ACID; UREA; URIC ACID; VALERIC ACID;

AGED; ARTICLE; CHINA; COLORIMETRY; DIETARY INTAKE; FEMALE; HUMAN; LONGEVITY; MAJOR CLINICAL STUDY; MALE; MEDICAL INFORMATION; METABOLITE; QUESTIONNAIRE; SCREENING; VERY ELDERLY;

EID: 84989299191     PISSN: None     EISSN: 20726643     Source Type: Journal    
DOI: 10.3390/nu8090564     Document Type: Article

References (58)

1. Péter, S.; Saris, W.H.M.; Mathers, J.C.; Feskens, E.; Schols, A.; Navis, G.; Kuipers, F.; Weber, P.; Eggersdorfer, M. Nutrient status assessment in individuals and populations for healthy aging—Statement from an expert workshop. Nutrients 2015, 7, 10491–10500. [CrossRef] [PubMed]
2. Shi, Z.; Zhang, T.; Byles, J.; Martin, S.; Avery, J.C.; Taylor, A.W. Food habits, lifestyle factors and mortality among oldest old Chinese: The Chinese longitudinal healthy longevity survey (CLHLS). Nutrients 2015, 7, 7562–7579. [CrossRef] [PubMed]
3. Fontana, L.; Partridge, L.; Longo, V.D. Extending healthy life span-from yeast to humans. Science 2010, 328, 321–326. [CrossRef] [PubMed]
4. Brunner, E.J.; Mosdol, A.; Witte, D.R.; Martikainen, P.; Stafford, M.; Shipley, M.J.; Marmot, M.G. Dietary patterns and 15-year risks of major coronary events, diabetes, and mortality. Am. J. Clin. Nutr. 2008, 87, 1414–1421. [PubMed]
5. McNiven, E.M.; German, J.B.; Slupsky, C.M. Analytical metabolomics: Nutritional opportunities for personalized health. J. Nutr. Biochem. 2011, 22, 995–1002. [CrossRef] [PubMed]
6. Wong, J.M.W.; de Souza, R.; Kendall, C.W.C.; Emam, A.; Jenkins, D.J.A. Colonic health: Fermentation and short chain fatty acids. J. Clin. Gastroenterol. 2006, 40, 235–243. [CrossRef] [PubMed]
7. Nastasi, C.; Candela, M.; Bonefeld, C.M.; Geisler, C.; Hansen, M.; Krejsgaard, T.; Biagi, E.; Andersen, M.H.; Brigidi, P.; Ødum, N. et al.; The effect of short-chain fatty acids on human monocyte-derived dendritic cells. Sci. Rep. 2015, 5, 16148. [CrossRef] [PubMed]
8. Hambidge, M. Biomarkers of trace mineral intake and status. J. Nutr. 2003, 133, 948S–955S. [PubMed]
9. Rodrigues, J.L.; Batista, B.L.; Fillion, M.; Passos, C.J.; Mergler, D.; Barbosa, F., Jr. Trace element levels in whole blood of riparian villagers of the Brazilian Amazon. Sci. Total Environ. 2009, 407, 4168–4173. [CrossRef] [PubMed]
10. Lv, J.; Wang, W.; Zhang, F.; Krafft, T.; Yuan, F.; Li, Y. Identification of human age using trace element concentrations in hair and the support vector machine method. Biol. Trace Elem. Res. 2011, 143, 1441–1450. [CrossRef] [PubMed]
11. Papp, L.V.; Holmgren, A.; Khanna, K.K. Selenium and selenoproteins in health and disease. Antioxid. Redox Signal. 2010, 12, 793–795. [CrossRef] [PubMed]
12. Savarino, L.; Granchi, D.; Ciapetti, G.; Cenni, E.; Ravaglia, G.; Forti, P.; Maioli, F.; Mattioli, R. Serum concentrations of zinc and selenium in elderly people: Results in healthy nonagenarians/centenarians. Exp. Gerontol. 2001, 36, 327–339. [CrossRef]
13. Collino, S.; Montoliu, I.; Martin, F.P.; Scherer, M.; Mari, D.; Salvioli, S.; Bucci, L.; Ostan, R.; Monti, D.; Biagi, E. et al.; Metabolic signatures of extreme longevity in northern Italian centenarians reveal a complex remodeling of lipids, amino acids, and gut microbiota metabolism. PLoS ONE 2013, 8, e56564. [CrossRef]
14. Boulesteix, A.L.; Strimmer, K. Partial least squares: A versatile tool for the analysis of high-dimensional genomic data. Brief. Bioinform. 2006, 8, 32–44. [CrossRef] [PubMed]
15. Tan, B.; Qiu, Y.; Zou, X.; Chen, T.; Xie, G.; Cheng, Y.; Dong, T.; Zhao, L.; Feng, B.; Hu, X. et al.; Metabonomics identifies serum metabolite markers of colorectal cancer. J. Proteome Res. 2013, 12, 3000–3009. [CrossRef] [PubMed]
16. Zhao, T.; Chen, T.; Qiu, Y.; Zou, X.; Li, X.; Su, M.; Yan, C.; Zhao, A.; Jia, W. Trace element profiling using inductively coupled plasma mass spectrometry and its application in an osteoarthritis study. Anal. Chem. 2009, 81, 3683–3692. [CrossRef] [PubMed]
17. Shi, S.; Liu, S.; Huang, Q.; Huang, F.; Wei, Y. Guangxi Zhuang Autonomous Region 2010 Population Census; China Statistics Press: Beijing, China, 2012.
18. Chu, H. The Spatial-Temporal Evolution and Influence Factors Analysis of Longevity Level in Southern China. Master’s Thesis, Central China Normal University, Wuhan, China, May 2015.
19. Lv, J.; Wang, W.; Krafft, T.; Li, Y.; Zhang, F.; Yuan, F. Effects of several environmental factors on longevity and health of the human population of Zhongxiang, Hubei, China. Biol. Trace Elem. Res. 2011, 143, 702–716. [CrossRef] [PubMed]
20. Wang, Z.; Zeng, Y.; Jeune, B.; Vaupel, J.W. Age validation of Han Chinese centenarians. Genus 1998, 54, 123–141. [PubMed]
21. Tokudome, S.; Imaeda, N.; Tokudome, Y.; Fujiwara, N.; Nagaya, T.; Sato, J.; Kuriki, K.; Ikeda, M.; Maki, S. Relative validity of a semi-quantitative food frequency questionnaire versus 28 day weighed diet records in Japanese female dietitians. Eur. J. Clin. Nutr. 2001, 55, 735–742. [CrossRef] [PubMed]
22. Yang, Y.; Wang, G.; Pan, X. China Food Composition; The Peking University Medical Press: Beijing, China, 2009.
23. Zhuang, M.; Yuan, Z.; Lin, L.; Hu, B.; Wang, X.; Yang, Y.; Chen, X.; Jin, L.; Lu, M.; Ye, W. Reproducibility and relative validity of a food frequency questionnaire developed for adults in Taizhou, China. PLoS ONE 2012, 7, e48341. [CrossRef] [PubMed]
24. Brinkworth, G.D.; Noakes, M.; Clifton, P.M.; Bird, A.R. Comparative effects of very low-carbohydrate, high-fat and high-carbohydrate, low-fat weight-loss diets on bowel habit and faecal short-chain fatty acids and bacterial populations. Br. J. Nutr. 2009, 101, 1493–1502. [CrossRef] [PubMed]
25. Bird, A.R.; Vuaran, M.S.; King, R.A.; Noakes, M.; Keogh, J.; Morell, M.K.; Topping, D.L. Wholegrain foods made from a novel high-amylose barley variety (Himalaya 292) improve indices of bowel health in human subjects. Br. J. Nutr. 2008, 99, 1032–1040. [CrossRef] [PubMed]
26. Ministry of Public Health of China. Determination of Phenol in Urine by Gas Chromatographic Method. WS/T 50-1996; China Standards Press: Beijing, China, 1996.
27. Samanta, G.; Sharma, R.; Roychowdhury, T.; Chakraborti, D. Arsenic and other elements in hair, nails, and skin-scales of arsenic victims in West Bengal, India. Sci. Total Environ. 2004, 326, 33–47. [CrossRef] [PubMed]
28. Trygg, J.; Holmes, E.; Lundstedt, T. Chemometrics in metabonomics. J. Proteome Res. 2007, 6, 469–479. [CrossRef] [PubMed]
29. Wold, S.; Trygg, J.; Berglund, A.; Antti, H. Some recent developments in PLS modeling. Chemometr. Intell. Lab. Syst. 2001, 58, 131–150. [CrossRef]
30. Wiklund, S.; Johansson, E.; Sjostrom, L.; Mellerowicz, E.J.; Edlund, U.; Shockcor, J.P.; Gottfries, J.; Moritz, T.; Trygg, J. Visualization of GC/TOF-MS-based metabolomics data for identification of biochemically interesting compounds using OPLS class models. Anal. Chem. 2008, 80, 115–122. [CrossRef] [PubMed]
31. Rios-Avila, L.; Coats, B.; Chi, Y.Y.; Midttun, O.; Ueland, P.M.; Stacpoole, P.W.; Gregory, J.F. Metabolite profile analysis reveals association of vitamin B-6 with metabolites related to one-carbon metabolism and tryptophan catabolism but not with biomarkers of inflammation in oral contraceptive users and reveals the effects of oral contraceptives on these processes. J. Nutr. 2015, 145, 87–95. [PubMed]
32. Da Silva, V.R.; Rios-Avila, L.; Lamers, Y.; Ralat, M.A.; Midttun, O.; Quinlivan, E.P.; Garrett, T.J.; Coats, B.; Shankar, M.N.; Percival, S.S. et al.; Metabolite profile analysis reveals functional effects of 28-day vitamin B-6 restriction on one-carbon metabolism and tryptophan catabolic pathways in healthy men and women. J. Nutr. 2013, 143, 1719–1727. [CrossRef] [PubMed]
33. Tan, J.; McKenzie, C.; Potamitis, M.; Thorburn, A.N.; Mackay, C.R.; Macia, L. The role of short-chain fatty acids in health and disease. Adv. Immunol. 2014, 121, 91–119. [PubMed]
34. Boets, E.; Deroover, L.; Houben, E.; Vermeulen, K.; Gomand, S.V.; Delcour, J.A.; Verbeke, K. Quantification of in vivo colonic short chain fatty acid production from inulin. Nutrients 2015, 7, 8916–8929. [CrossRef] [PubMed]
35. Kasubuchi, M.; Hasegawa, S.; Hiramatsu, T.; Ichimura, A.; Kimura, I. Dietary gut microbial metabolites, short-chain fatty acids, and host metabolic regulation. Nutrients 2015, 7, 2839–2849. [CrossRef] [PubMed]
36. Vadder, F.D.; Kovatcheva-Datchary, P.; Goncalves, D.; Vinera, J.; Zitoun, C.; Duchampt, A.; Backhed, F.; Mithieux, G. Microbiota-generated metabolites promote metabolic benefits via gut-brain neural circuits. Cell 2014, 156, 84–96. [CrossRef] [PubMed]
37. Thibault, R.; Blachier, F.; Darcy-Vrillon, B.; de Coppet, P.; Bourreille, A.; Segain, J.P. Butyrate utilization by the colonic mucosa in inflammatory bowel diseases: A transport deficiency. Inflamm. Bowel Dis. 2010, 16, 684–695. [CrossRef] [PubMed]
38. Bingham, S.A. Diet and colorectal cancer prevention. Biochem. Soc. Trans. 2000, 28, 12–16. [CrossRef] [PubMed]
39. Xie, G.; Li, X.; Li, H.; Jia, W. Toward personalized nutrition: comprehensive phytoprofiling and metabotyping. J. Proteome Res. 2013, 12, 1547–1559. [CrossRef] [PubMed]
40. Walsh, M.C.; Brennan, L.; Pujos-Guillot, E.; Sébédio, J.L.; Scalbert, A.; Fagan, A.; Higgins, D.G.; Gibney, M.J. Influence of acute phytochemical intake on human urinary metabolomic profiles. Am. J. Clin. Nutr. 2007, 86, 1687–1693. [PubMed]
41. Holmes, E.; Loo, R.L.; Stamler, J.; Bictash, M.; Yap, I.K.; Chan, Q.; Ebbels, T.; de Iorio, M.; Brown, I.J.; Veselkov, K.A. et al.; Human metabolic phenotype diversity and its association with diet and blood pressure. Nature 2008, 453, 396–400. [CrossRef] [PubMed]
42. Miller, A.F. Superoxide dismutases: Ancient enzymes and new insights. FEBS Lett. 2012, 586, 585–595. [CrossRef] [PubMed]
43. Carneiro, M.F.H.; Grotto, D.; Batista, B.L.; Rhoden, C.R.; Barbosa, F., Jr. Background values for essential and toxic elements in children’s nails and correlation with hair levels. Biol. Trace Elem. Res. 2011, 144, 339–350. [CrossRef] [PubMed]
44. Okamoto, S.; Eltis, L.D. The biological occurrence and trafficking of cobalt. Metallomics 2011, 3, 963–970. [CrossRef] [PubMed]
45. Vignon, M. Inference in morphological taxonomy using collinear data and small sample sizes: Monogenean sclerites (Platyhelminthes) as a case study. Zool. Scr. 2011, 40, 306–316. [CrossRef]
46. Su, M.; Zheng, X.Y.; Zhang, T.; Pei, L.; Wang, F.; Zheng, X.; Gu, X.; Song, X.; Lu, X.; Chen, G. et al.; Integrated profiling of metabolites and trace elements reveals a multifaceted malnutrition in pregnant women from a region with a high prevalence of congenital malformations. Metabolomics 2012, 8, 831–844. [CrossRef]
47. Brereton, R.G. Pattern recognition in chemometrics. Chemometr. Intell. Lab. Syst. 2015, 149, 90–96. [CrossRef]
48. Gromski, P.S.; Muhamadali, H.; Ellis, D.I.; Xu, Y.; Correa, E.; Turner, M.L.; Goodacre, R. A tutorial review: Metabolomics and partial least squares-discriminant analysis—A marriage of convenience or a shotgun wedding. Anal. Chim. Acta 2015, 879, 10–23. [CrossRef] [PubMed]
49. Gou, X.; Tao, Q.; Feng, Q.; Peng, J.; Sun, S.; Cao, H.; Zheng, N.; Zhang, Y.; Hu, Y.; Liu, P. Urinary metabonomics characterization of liver fibrosis induced by CCl4 in rats and intervention effects of Xia Yu Xue Decoction. J. Pharmaceut. Biomed. Anal. 2013, 74, 62–65. [CrossRef] [PubMed]
50. Selman, C.; Kerrison, N.D.; Cooray, A.; Piper, M.D.W.; Lingard, S.J.; Barton, R.H.; Schuster, E.F.; Blanc, E.; Gems, D.; Nicholson, J.K. et al.; Coordinated multitissue transcriptional and plasma metabonomic profiles following acute caloric restriction in mice. Physiol. Genom. 2006, 27, 187–200. [CrossRef] [PubMed]
51. Wijeyesekera, A.; Selman, C.; Barton, R.H.; Holmes, E.; Nicholson, J.K.; Withers, D.J. Metabotyping of long-lived mice using 1H NMR spectroscopy. J. Proteome Res. 2012, 11, 2224–2235. [CrossRef] [PubMed]
52. Nilsson, U.; Nyman, M. Short-chain fatty acid formation in the hindgut of rats fed oligosaccharides varying in monomeric composition, degree of polymerisation and solubility. Br. J. Nutr. 2005, 94, 705–713. [CrossRef] [PubMed]
53. Jakobsdottir, G.; Xu, J.; Molin, G.; Ahrne, S.; Nyman, M. High-fat diet reduces the formation of butyrate, but increases succinate, inflammation, liver fat and cholesterol in rats, while dietary fibre counteracts these effects. PLoS ONE 2013, 8, e80476. [CrossRef] [PubMed]
54. Bird, A.R.; Flory, C.; Davies, D.A.; Usher, S.; Topping, D.L. A novel barley cultivar (Himalaya 292) with a specific gene mutation in starch synthase lla raises large bowel starch and short-chain fatty acids in rats. J. Nutr. 2004, 134, 831–835. [PubMed]
55. Bird, A.R.; Hayakawa, T.; Marsono, Y.; Gooden, J.M.; Record, I.R.; Correll, R.L.; Topping, D.L. Coarse brown rice increases fecal and large bowel short-chain fatty acids and starch but lowers calcium in the large bowel of pigs. J. Nutr. 2000, 130, 1780–1787. [PubMed]
56. McOrist, A.L.; Abell, G.C.; Cooke, C.; Nyland, K. Bacterial population dynamics and faecal short-chain fatty acid (SCFA) concentrations in healthy humans. Br. J. Nutr. 2008, 100, 138–146. [CrossRef] [PubMed]
57. Tokudome, Y.; Imaeda, N.; Nagaya, T.; Ikeda, M.; Fujiwara, N.; Sato, J.; Kuriki, K.; Kikuchi, S.; Maki, S.; Tokudome, S. Daily, weekly, seasonal, within-and between-individual variation in nutrient intake according to four season consecutive 7 day weighed diet records in Japanese female dietitians. J. Epidemiol. 2002, 12, 85–92. [CrossRef] [PubMed]
58. Davinelli, S.; Willcox, D.C.; Scapagnini, G. Extending healthy ageing: nutrient sensitive pathway and centenarian population. Immun. Ageing 2012, 9, 9. [CrossRef] [PubMed]