Home Type 2Metabolites associated with abnormal glucose metabolism responding to primary care lifestyle intervention

Metabolites associated with abnormal glucose metabolism responding to primary care lifestyle intervention

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Ahmad, E., Lim, S., Lamptey, R., Webb, D. R. & Davies, M. J. Type 2 diabetes. Lancet 400, 1803–1820 (2022).

Article 
PubMed 

Google Scholar

Li, J. et al. The mediterranean diet, plasma metabolome, and cardiovascular disease risk. Eur. Heart J. 41, 2645–2656 (2020).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

Morze, J. et al. Metabolomics and type 2 diabetes risk: an updated systematic review and meta-analysis of prospective cohort studies. Diabetes Care. 45, 1013–1024 (2022).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

Diabetes Prevention Program Research Group. Reduction in the incidence of type 2 diabetes with lifestyle intervention or Metformin. N. Engl. J. Med. 346, 393–403 (2002).

Article 
PubMed Central 

Google Scholar

Tuomilehto, J. et al. Prevention of type 2 diabetes mellitus by changes in lifestyle among subjects with impaired glucose tolerance. N. Engl. J. Med. 344, 1343–1350 (2001).

Article 
CAS 
PubMed 

Google Scholar

Wishart, D. S. et al. HMDB 5.0: the human metabolome database for 2022. Nucleic Acids Res. 50, D622–D631 (2022).

Article 
CAS 
PubMed 

Google Scholar

Pallares-Méndez, R., Aguilar-Salinas, CA & Cruz-Bautista, I. Del Bosque-Plata, L. Metabolomics in diabetes, a review. Ann. Med. 48, 89–102 (2016).

Article 
PubMed 

Google Scholar

Guasch-Ferré, M. et al. Metabolomics in prediabetes and diabetes: a systematic review and meta-analysis. Diabetes Care. 39, 833–846 (2016).

Article 
PubMed 
PubMed Central 

Google Scholar

de Mello, V. D. et al. Indolepropionic acid and novel lipid metabolites are associated with a lower risk of type 2 diabetes in the Finnish diabetes prevention study. Sci. Rep. 7, 1–12 (2017).

Article 
ADS 

Google Scholar

Kivelä, J., Meinilä, J., Uusitupa, M., Tuomilehto, J. & Lindström, J. Longitudinal Branched-Chain amino Acids, lifestyle Intervention, and type 2 diabetes in the Finnish diabetes prevention study. J. Clin. Endocrinol. Metabolism. 107, 2844–2853 (2022).

Article 

Google Scholar

del Sevilla-Gonzalez, R. M. et al. Metabolomic markers of glucose regulation after a lifestyle intervention in prediabetes. BMJ Open. Diabetes Res. & Care 10 (2022).

Walford, G. A. et al. Metabolite profiles of diabetes incidence and intervention response in the diabetes prevention program. Diabetes 65, 1424–1433 (2016).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

Pihlajamäki, J. et al. Digitally supported program for type 2 diabetes risk identification and risk reduction in real-world setting: protocol for the StopDia model and randomized controlled trial. BMC public. Health. 19, 1–13 (2019).

Article 

Google Scholar

Lakka, T. A. et al. Real-world effectiveness of digital and group-based lifestyle interventions as compared with usual care to reduce type 2 diabetes risk–A stop diabetes pragmatic randomised trial. The Lancet Reg. Health–Europe 24 (2023).

Makrilakis, K. et al. Validation of the Finnish diabetes risk score (FINDRISC) questionnaire for screening for undiagnosed type 2 diabetes, dysglycaemia and the metabolic syndrome in Greece. Diabetes Metab. 37, 144–151 (2011).

Article 
CAS 
PubMed 

Google Scholar

Association, A. D. Diagnosis and classification of diabetes mellitus. Diabetes Care. 33, S62–S69 (2010).

Article 

Google Scholar

Jalkanen, K. et al. Comparison of communication channels for large-scale type 2 diabetes risk screening and intervention recruitment: empirical study. JMIR Diabetes. 6, e21356 (2021).

Article 
PubMed 
PubMed Central 

Google Scholar

Lindström, J. et al. Formation and validation of the healthy diet index (HDI) for evaluation of diet quality in healthcare. Int. J. Environ. Res. Public Health. 18, 2362 (2021).

Article 
PubMed 
PubMed Central 

Google Scholar

Klåvus, A. et al. Notame: workflow for Non-Targeted LC–MS metabolic profiling. Metabolites 10, 135 (2020).

Article 
PubMed 
PubMed Central 

Google Scholar

Lapatto, H. A. et al. Nicotinamide riboside improves muscle mitochondrial biogenesis, satellite cell differentiation, and gut microbiota in a twin study. Sci. Adv. 9, eadd5163 (2023).

Article 
PubMed 
PubMed Central 

Google Scholar

Tsugawa, H. et al. MS-DIAL: data-independent MS/MS Deconvolution for comprehensive metabolome analysis. Nat. Methods. 12, 523–526 (2015).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

Tsugawa, H. et al. Hydrogen rearrangement rules: computational MS/MS fragmentation and structure Elucidation using MS-FINDER software. Anal. Chem. 88, 7946–7958 (2016).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

Sumner, L. W. et al. Proposed minimum reporting standards for chemical analysis. Metabolomics 3, 211–221 (2007).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

Vangipurapu, J., Fernandes Silva, L., Kuulasmaa, T., Smith, U. & Laakso, M. Microbiota-related metabolites and the risk of type 2 diabetes. Diabetes Care. 43, 1319–1325 (2020).

Article 
CAS 
PubMed 

Google Scholar

Feldman, E. L., Russell, J. W., Sullivan, K. A. & Golovoy, D. New insights into the pathogenesis of diabetic neuropathy. Curr. Opin. Neurol. 12, 553–563 (1999).

Article 
CAS 
PubMed 

Google Scholar

Baumgartner, C. et al. Potential role of skeletal muscle Glycerophosphocholine in response to altered fluid balance in humans: an in vivo nuclear magnetic resonance study. Am. J. Physiology-Endocrinology Metabolism. 324, E339–E346 (2023).

Article 
CAS 

Google Scholar

Prada, M. et al. Association of the odd-chain fatty acid content in lipid groups with type 2 diabetes risk: A targeted analysis of lipidomics data in the EPIC-Potsdam cohort. Clin. Nutr. 40, 4988–4999 (2021).

Article 
CAS 
PubMed 

Google Scholar

Pfeuffer, M. & Jaudszus, A. Pentadecanoic and heptadecanoic acids: multifaceted odd-chain fatty acids. Adv. Nutr. 7, 730–734 (2016).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

Farrell, E. K. & Merkler, D. J. Biosynthesis, degradation and Pharmacological importance of the fatty acid amides. Drug Discovery Today. 13, 558–568 (2008).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

Lambert, D. M. & Di Marzo, V. The palmitoylethanolamide and oleamide enigmas: are these two fatty acid amides cannabimimetic? Curr. Med. Chem. 6, 757–773 (1999).

Article 
CAS 
PubMed 

Google Scholar

Gruden, G., Barutta, F., Kunos, G. & Pacher, P. Role of the endocannabinoid system in diabetes and diabetic complications. Br. J. Pharmacol. 173, 1116–1127 (2016).

Article 
CAS 
PubMed 

Google Scholar

Dohnalová, L. et al. A microbiome-dependent gut–brain pathway regulates motivation for exercise. Nature, 1–9 (2022).

Huynh, K. et al. High-throughput plasma lipidomics: detailed mapping of the associations with cardiometabolic risk factors. Cell. Chem. Biology. 26, 71–84 (2019).

Article 
CAS 

Google Scholar

Orsavova, J., Misurcova, L., Ambrozova, V., Vicha, J., Mlcek, J. & R. & Fatty acids composition of vegetable oils and its contribution to dietary energy intake and dependence of cardiovascular mortality on dietary intake of fatty acids. Int. J. Mol. Sci. 16, 12871–12890 (2015).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

Xia, T. et al. A longitudinal study on associations of moderate-to-vigorous physical activity with plasma monounsaturated fatty acids in pregnancy. Front. Nutr. 9, 983418 (2022).

Article 
PubMed 
PubMed Central 

Google Scholar

Zhu, X. et al. Association between fatty acids and the risk of impaired glucose tolerance and type 2 diabetes mellitus in American adults: NHANES 2005 – 2016. Nutr. Diabetes. 13, 8 (2023).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

Dudzik, D. et al. Metabolic fingerprint of gestational diabetes mellitus. J. Proteom. 103, 57–71 (2014).

Article 
CAS 

Google Scholar

Haikonen, R., Kärkkäinen, O., Koistinen, V. & Hanhineva, K. Diet-and microbiota-related metabolite, 5-aminovaleric acid betaine (5-AVAB), in health and disease. Trends Endocrinol. & Metabolism (2022).

Kärkkäinen, O. et al. Whole grain intake associated molecule 5-aminovaleric acid betaine decreases β-oxidation of fatty acids in mouse cardiomyocytes. Sci. Rep. 8, 13036 (2018).

Article 
ADS 
PubMed 
PubMed Central 

Google Scholar

O’Sullivan, J. F. et al. Dimethylguanidino valeric acid is a marker of liver fat and predicts diabetes. J. Clin. Investig. 127, 4394–4402 (2017).

Article 
PubMed 
PubMed Central 

Google Scholar

Ottosson, F. et al. Dimethylguanidino valerate: a lifestyle-related metabolite associated with future coronary artery disease and cardiovascular mortality. J. Am. Heart Association. 8, e012846 (2019).

Article 

Google Scholar

Chen, Y. et al. Associations between serum amino acids and incident type 2 diabetes in Chinese rural adults. Nutr. Metabolism Cardiovasc. Dis. 31, 2416–2425 (2021).

Article 
CAS 

Google Scholar

Thomson, S. C. et al. Ornithine decarboxylase, kidney size, and the tubular hypothesis of glomerular hyperfiltration in experimental diabetes. J. Clin. Investig. 107, 217–224 (2001).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

Lankinen, M. A. et al. Plasma fatty acids as predictors of glycaemia and type 2 diabetes. Diabetologia 58, 2533–2544 (2015).

Article 
CAS 
PubMed 

Google Scholar

Adams, S. H. et al. Plasma acylcarnitine profiles suggest incomplete long-chain fatty acid β-oxidation and altered Tricarboxylic acid cycle activity in type 2 diabetic African-American women. J. Nutr. 139, 1073–1081 (2009).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

Veronese, N. et al. Serum dehydroepiandrosterone sulfate and risk for type 2 diabetes in older men and women: the Pro. VA study. Can. J. Diabetes. 40, 158–163 (2016).

Article 
PubMed 

Google Scholar

Ennour-Idrissi, K., Maunsell, E. & Diorio, C. Effect of physical activity on sex hormones in women: a systematic review and meta-analysis of randomized controlled trials. Breast Cancer Res. 17, 1–11 (2015).

Article 

Google Scholar

Sánchez-Guijo, A. et al. Role of steroid sulfatase in steroid homeostasis and characterization of the sulfated steroid pathway: evidence from steroid sulfatase deficiency. Mol. Cell. Endocrinol. 437, 142–153 (2016).

Article 
PubMed 

Google Scholar

Buergel, T. et al. Metabolomic profiles predict individual multidisease outcomes. Nat. Med. 28, 2309–2320 (2022).

Article 
CAS 
PubMed 
PubMed Central 

Google Scholar

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