The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Metabolomic profiles and childhood obesity
Open accessAbstract
OBJECTIVE: To identify metabolite patterns associated with childhood obesity, to examine relations of these patterns with measures of adiposity and cardiometabolic risk, and to evaluate associations with maternal peripartum characteristics. METHODS: Untargeted metabolomic profiling was used to quantify metabolites in plasma of 262 children (6-10 years). Principal components analysis was used to consolidate 345 metabolites into 18 factors and identified two that differed between obese (BMI ≥ 95‰; n = 84) and lean children (BMI < 85‰; n = 150). The relations of these factors with adiposity (fat mass, BMI, skinfold thicknesses) and cardiometabolic biomarkers (HOMA-IR, triglycerides, leptin, adiponectin, hsCRP, IL-6) using multivariable linear regression was then investigated. Finally, the associations of maternal prepregnancy obesity, gestational weight gain, and gestational glucose tolerance with the offspring metabolite patterns was examined. RESULTS: A branched-chain amino acid (BCAA)-related pattern and an androgen hormone pattern were higher in obese vs. lean children. Both patterns were associated with adiposity and worse cardiometabolic profiles. For example, each increment in the BCAA and androgen pattern scores corresponded with 6% (95% CI: 1, 13%) higher HOMA-IR. Children of obese mothers had 0.61 (0.13, 1.08) higher BCAA score than their counterparts. CONCLUSIONS: BCAA and androgen metabolites were associated with adiposity and cardiometabolic risk during mid-childhood. Maternal obesity may contribute to altered offspring BCAA metabolism.
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Gut Microbiota from Twins Discordant for Obesity Modulate Metabolism in Mice
Ridaura, V. K., Faith, J. J., Rey, F. E., Cheng, J., Duncan, A. E., Kau, A. L., Griffin, N. W., Lombard, V., Henrissat, B., Bain, J. R., et al. (2013) · Science · doi:10.1126/science.1241214 · Cited by 3,788
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Interplay between lipids and branched-chain amino acids in development of insulin resistance
Newgard, C. B. (2012) · Cell Metabolism · doi:10.1016/j.cmet.2012.01.024 · Cited by 1,080
Huffman, K. M., Shah, S. H., Stevens, R. D., Bain, J. R., Muehlbauer, M., Slentz, C. A., Tanner, C. J., Kuchibhatla, M., Houmard, J. A., Newgard, C. B., et al. (2009) · Diabetes Care · doi:10.2337/dc08-2075 · Cited by 410
Shaham, O., Wei, R., Wang, T. J., Ricciardi, C., Lewis, G. D., Vasan, R. S., Carr, S. A., Thadhani, R., Gerszten, R. E., & Mootha, V. K. (2008) · Molecular Systems Biology · doi:10.1038/msb.2008.50 · Cited by 399
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Favennec, M., Hennart, B., Caiazzo, R., Leloire, A., Yengo, L., Verbanck, M., Arredouani, A., Marre, M., Pigeyre, M., Bessede, A., et al. (2015) · Obesity · doi:10.1002/oby.21199 · Cited by 276
PFAS Exposures and the Human Metabolome: A Systematic Review of Epidemiological Studies
India-Aldana, S., Yao, M., Midya, V., Colicino, E., Chatzi, L., Chu, J., Gennings, C., Jones, D. P., Loos, R. J. F., Setiawan, V. W., et al. (2023) · Current Pollution Reports · doi:10.1007/s40726-023-00269-4 · Cited by 114
Metabolomics of Childhood Exposure to Perfluoroalkyl Substances: A Cross-Sectional Study
Kingsley, S. L., Walker, D. I., Calafat, A. M., Chen, A., Papandonatos, G. D., Xu, Y., Jones, D. P., Lanphear, B. P., Pennell, K. D., & Braun, J. M. (2019) · Metabolomics · doi:10.1007/s11306-019-1560-z · Cited by 90
Metadata
- Authors
- Perng, W., Gillman, M. W., Fleisch, A. F., Michalek, R. D., Watkins, S. M., Isganaitis, E., Patti, M.-E., & Oken, E.
- Venue
- Obesity
- Publisher
- Wiley
- Published
- 2014-09-24
- Volume
- 22
- Issue
- 12
- Pages
- 2570-2578
- ISSN
- 1930-7381 (ISSN-L)
- OpenAlex
- W1623684340
- Cited by
- 181
- References
- 8
- FWCI
- 4.87
- Type
- journal article
- Language
- en
- Open access
- bronze
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