Advances in Metabolomics Research

Displaying 1 - 20 of 20CSV
McIntire, L. B., Mares, J., Costa, A. P., Lazarian, A., Wartchow, K. M., Dartora, W., Nuriel, T., & Menon, V. (2024). Commonalities in the lipid profile shift in ApoE ε4 risk variant and mild cognitive impairment highlight acyl chain remodeling. Alzheimer’s & Dementia, 20(S1). Portico. https://doi.org/10.1002/alz.087508
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Sebastiani, P., Monti, S., Lustgarten, M. S., Song, Z., Ellis, D., Tian, Q., Schwaiger-Haber, M., Stancliffe, E., Leshchyk, A., Short, M. I., Ardisson Korat, A. V., Gurinovich, A., Karagiannis, T., Li, M., Lords, H. J., Xiang, Q., Marron, M. M., Bae, H., Feitosa, M. F., … Patti, G. J. (2024). Metabolite signatures of chronological age, aging, survival, and longevity. Cell Reports, 43(11), 114913. https://doi.org/10.1016/j.celrep.2024.114913
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Wu, H.-C., Lai, Y., Liao, Y., Deyssenroth, M., Miller, G. W., Santella, R. M., & Terry, M. B. (2024). Plasma metabolomics profiles and breast cancer risk. Breast Cancer Research, 26(1). https://doi.org/10.1186/s13058-024-01896-5
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Pannkuk, E. L., Laiakis, E. C., Garty, G., Bansal, S., Jayatilake, M. M., Tan, Y., Ponnaiya, B., Wu, X., Amundson, S. A., Brenner, D. J., & Fornace, A. J. (2024). Impact of Partial Body Shielding from Very High Dose Rates on Untargeted Metabolomics in Biodosimetry. ACS Omega, 9(32), 35182–35196. https://doi.org/10.1021/acsomega.4c05688
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Columbia Affiliation
Mares, J., Costa, A. P., Dartora, W. J., Wartchow, K. M., Lazarian, A., Bennett, D. A., Nuriel, T., Menon, V., & McIntire, L. B. J. (2024). Brain and serum lipidomic profiles implicate Lands cycle acyl chain remodeling association with APOEε4 and mild cognitive impairment. Frontiers in Aging Neuroscience, 16. https://doi.org/10.3389/fnagi.2024.1419253
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Yang, M., Matan-Lithwick, S., Wang, Y., De Jager, P. L., Bennett, D. A., & Felsky, D. (2023). Multi-omic integration via similarity network fusion to detect molecular subtypes of ageing. Brain Communications, 5(2). https://doi.org/10.1093/braincomms/fcad110
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Pannkuk, E. L., Shuryak, I., Kot, A., Yun-Tien Lin, L., Li, H.-H., & Fornace, A. J. (2024). Host microbiome depletion attenuates biofluid metabolite responses following radiation exposure. PLOS ONE, 19(5), e0300883. https://doi.org/10.1371/journal.pone.0300883
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Oka, T., Matsuzawa, Y., Tsuneyoshi, M., Nakamura, Y., Aoshima, K., Tsugawa, H., Weiner, M., Aisen, P., Petersen, R., Jack, C. R., Jagust, W., Trojanowki, J. Q., Toga, A. W., Beckett, L., Green, R. C., Saykin, A. J., Morris, J., Shaw, L. M., … Liu, E. (2024). Multiomics analysis to explore blood metabolite biomarkers in an Alzheimer’s Disease Neuroimaging Initiative cohort. Scientific Reports, 14(1). https://doi.org/10.1038/s41598-024-56837-1
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Shuryak, I., Ghandhi, S. A., Laiakis, E. C., Garty, G., Wu, X., Ponnaiya, B., Kosowski, E., Pannkuk, E., Kaur, S. P., Harken, A. D., Deoli, N., Fornace, A. J., Brenner, D. J., & Amundson, S. A. (2023). Biomarker integration for improved biodosimetry of mixed neutron + photon exposures. Scientific Reports, 13(1). https://doi.org/10.1038/s41598-023-37906-3
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Kalia, V., Reyes‐Dumeyer, D., Dubey, S., Nandakumar, R., Lee, A. J., Lantigua, R. A., Medrano, M., Mejia, D. R., Recio, P., Honig, L. S., Mayeux, R., Miller, G. W., & Vardarajan, B. N. (2023). Metabolites correlate with plasma biomarkers and clinical diagnosis of Alzheimer’s Disease. Alzheimer’s & Dementia, 19(S15). Portico. https://doi.org/10.1002/alz.078516
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Arnold, M., Buyukozkan, M., Doraiswamy, P. M., Wu, T., Nho, K., Gudnason, V., Launer, L. J. J., Wang‐Sattler, R., Adamski, J., De Jager, P. L., Ertekin‐Taner, N., Bennett, D. A. A., Saykin, A. J., Peters, A., Suhre, K., Kaddurah‐Daouk, R. F., Kastenmuller, G., & Krumsiek, J. (2023). Individual bioenergetic capacity as a potential source of resilience to Alzheimer’s disease. Alzheimer’s & Dementia, 19(S12). Portico. https://doi.org/10.1002/alz.072776
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Irajizad, E., Kenney, A., Tang, T., Vykoukal, J., Wu, R., Murage, E., Dennison, J. B., Sans, M., Long, J. P., Loftus, M., Chabot, J. A., Kluger, M. D., Kastrinos, F., Brais, L., Babic, A., Jajoo, K., Lee, L. S., Clancy, T. E., Ng, K., … Fahrmann, J. F. (2023). A blood-based metabolomic signature predictive of risk for pancreatic cancer. Cell Reports Medicine, 4(9), 101194. https://doi.org/10.1016/j.xcrm.2023.101194
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Lee, A. J., Klein, H., Schneider, J. A., Bennett, D. A., De Jager, P. L., Narzisi, G., Zody, M., & Vardarajan, B. N. (2023). Association of short tandem repeats with neuropathological features in late‐onset of Alzheimer’s disease brains. Alzheimer’s & Dementia, 19(S1). Portico. https://doi.org/10.1002/alz.066552
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Sánchez-Vinces, S., Garcia, P. H. D., Silva, A. Ap. R., Fernandes, A. M. A. de P., Barreto, J. A., Duarte, G. H. B., Antonio, M. A., Birbrair, A., Porcari, A. M., & Carvalho, P. de O. (2023). Mass-Spectrometry-Based Lipidomics Discriminates Specific Changes in Lipid Classes in Healthy and Dyslipidemic Adults. Metabolites, 13(2), 222. https://doi.org/10.3390/metabo13020222
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Tasic, L., Avramović, N., Jadranin, M., Quintero, M., Stanisic, D., Martins, L. G., Costa, T. B. B. C., Novak, E., Odone, V., Rivas, M., Aguiar, T., Carraro, D. M., Werneck da Cunha, I., Lima da Costa, C. M., Maschietto, M., & Krepischi, A. (2022). High-Resolution Magic-Angle-Spinning NMR in Revealing Hepatoblastoma Hallmarks. Biomedicines, 10(12), 3091. https://doi.org/10.3390/biomedicines10123091
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Pannkuk, E. L., Laiakis, E. C., Garty, G., Bansal, S., Ponnaiya, B., Wu, X., Ghandhi, S. A., Amundson, S. A., Brenner, D. J., & Fornace, A. J. (2022). Biofluid Metabolomics and Lipidomics of Mice Exposed to External Very High-Dose Rate Radiation. Metabolites, 12(6), 520. https://doi.org/10.3390/metabo12060520
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Columbia Affiliation
Kalia, V., Niedzwiecki, M. M., Bradner, J. M., Lau, F. K., Anderson, F. L., Bucher, M. L., Manz, K. E., Schlotter, A. P., Fuentes, Z. C., Pennell, K. D., Picard, M., Walker, D. I., Hu, W. T., Jones, D. P., & Miller, G. W. (2022). Cross-species metabolomic analysis of tau- and DDT-related toxicity. PNAS Nexus, 1(2). https://doi.org/10.1093/pnasnexus/pgac050
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Spotnitz, M., Patterson, J., Huser, V., Weng, C., & Natarajan, K. (2022). Harmonization of Measurement Codes for Concept-Oriented Lab Data Retrieval. MEDINFO 2021: One World, One Health – Global Partnership for Digital Innovation. https://doi.org/10.3233/shti220022
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Joseph, T. A., Chlenski, P., Litman, A., Korem, T., & Pe’er, I. (2022). Accurate and robust inference of microbial growth dynamics from metagenomic sequencing reveals personalized growth rates. Genome Research, 32(3), 558–568. https://doi.org/10.1101/gr.275533.121
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