{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,17]],"date-time":"2026-08-17T15:50:34Z","timestamp":1786981834784,"version":"build-2736575974"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"5","license":[{"start":{"date-parts":[[2024,9,21]],"date-time":"2024-09-21T00:00:00Z","timestamp":1726876800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,9,21]],"date-time":"2024-09-21T00:00:00Z","timestamp":1726876800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Metabolomics"],"DOI":"10.1007\/s11306-024-02169-0","type":"journal-article","created":{"date-parts":[[2024,9,21]],"date-time":"2024-09-21T11:02:29Z","timestamp":1726916549000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Metabolomic profiling of dengue infection: unraveling molecular signatures by LC-MS\/MS and machine learning models"],"prefix":"10.1007","volume":"20","author":[{"given":"Jhansi Venkata Nagamani","family":"Josyula","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aashika Raagavi","family":"JeanPierre","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sachin B.","family":"Jorvekar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Deepthi","family":"Adla","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vignesh","family":"Mariappan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sai Sharanya","family":"Pulimamidi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Siva Ranganathan","family":"Green","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6543-2977","authenticated-orcid":false,"given":"Agieshkumar Balakrishna","family":"Pillai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Roshan M.","family":"Borkar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3263-3905","authenticated-orcid":false,"given":"Srinivasa Rao","family":"Mutheneni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,9,21]]},"reference":[{"key":"2169_CR27","doi-asserted-by":"publisher","first-page":"5008","DOI":"10.1016\/j.csbj.2021.09.001","volume":"19","author":"S Albaradei","year":"2021","unstructured":"Albaradei, S., Thafar, M., Alsaedi, A., Van Neste, C., Gojobori, T., Essack, M., & Gao, X. (2021). Machine learning and deep learning methods that use omics data for metastasis prediction. Computational and Structural Biotechnology Journal, 19, 5008\u20135018.","journal-title":"Computational and Structural Biotechnology Journal"},{"key":"2169_CR28","doi-asserted-by":"publisher","first-page":"824451","DOI":"10.3389\/fgene.2022.824451","volume":"13","author":"B Arjmand","year":"2022","unstructured":"Arjmand, B., Hamidpour, S. K., Tayanloo-Beik, A., Goodarzi, P., Aghayan, H. R., Adibi, H., & Larijani, B. (2022). Machine learning: A New Prospect in Multi-omics Data Analysis of Cancer. Frontiers in Genetics, 13, 824451.","journal-title":"Frontiers in Genetics"},{"issue":"1","key":"2169_CR3","first-page":"87","volume":"20","author":"N Arunachalam","year":"2004","unstructured":"Arunachalam, N., Murty, U. S., Kabilan, L., Balasubramanian, A., Thenmozhi, V., Narahari, D., Ravi, A., & Satyanarayana, K. (2004). Studies on dengue in rural areas of Kurnool District, Andhra Pradesh, India. Journal of the American Mosquito Control Association, 20(1), 87\u201390.","journal-title":"Journal of the American Mosquito Control Association"},{"key":"2169_CR14","doi-asserted-by":"publisher","first-page":"33","DOI":"10.2174\/1874285801509010033","volume":"9","author":"VG Bhat","year":"2015","unstructured":"Bhat, V. G., Chavan, P., Ojha, S., & Nair, P. K. (2015). Challenges in the Laboratory diagnosis and management of Dengue infections. The open Microbiology Journal, 9, 33\u201337.","journal-title":"The open Microbiology Journal"},{"issue":"1","key":"2169_CR12","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1007\/s00284-020-02284-w","volume":"78","author":"P Bhatt","year":"2021","unstructured":"Bhatt, P., Sabeena, S. P., Varma, M., & Arunkumar, G. (2021). Current understanding of the pathogenesis of Dengue Virus infection. Current Microbiology, 78(1), 17\u201332.","journal-title":"Current Microbiology"},{"key":"2169_CR24","doi-asserted-by":"publisher","first-page":"155197","DOI":"10.1016\/j.metabol.2022.155197","volume":"131","author":"H Casta\u00f1\u00e9","year":"2022","unstructured":"Casta\u00f1\u00e9, H., Iftimie, S., Baiges-Gaya, G., Rodr\u00edguez-Tom\u00e0s, E., Jim\u00e9nez-Franco, A., L\u00f3pez-Azcona, A. F., Garrido, P., Castro, A., Camps, J., & Joven, J. (2022). Machine learning and semi-targeted lipidomics identify distinct serum lipid signatures in hospitalized COVID-19-positive and COVID-19-negative patients. Metabolism: Clinical and Experimental, 131, 155197.","journal-title":"Metabolism: Clinical and Experimental"},{"key":"2169_CR35","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1007\/978-3-319-93791-5_2","volume":"1082","author":"BKC Chan","year":"2018","unstructured":"Chan, B. K. C. (2018). Data Analysis using R programming. Advances in Experimental Medicine and Biology, 1082, 47\u2013122.","journal-title":"Advances in Experimental Medicine and Biology"},{"key":"2169_CR54","doi-asserted-by":"crossref","unstructured":"Chandrasena, L., Silva, A. D., Mel, C. D., Peiris, H., Abesuriya, V., Mel, S. D., Seneviratne, S. L., & Bandara, S. (2019). Glutathione enzymes and Liver Injury in Acute Dengue viral infection. Journal of Biosciences and Medicines.","DOI":"10.4236\/jbm.2019.710006"},{"issue":"4","key":"2169_CR38","doi-asserted-by":"publisher","first-page":"505","DOI":"10.1016\/j.jpha.2020.11.009","volume":"11","author":"Z Chen","year":"2021","unstructured":"Chen, Z., Huang, X., Gao, Y., Zeng, S., & Mao, W. (2021). Plasma-metabolite-based machine learning is a promising diagnostic approach for esophageal squamous cell carcinoma investigation. Journal of Pharmaceutical Analysis, 11(4), 505\u2013514.","journal-title":"Journal of Pharmaceutical Analysis"},{"issue":"4","key":"2169_CR19","doi-asserted-by":"publisher","first-page":"357","DOI":"10.3390\/metabo12040357","volume":"12","author":"Y Chen","year":"2022","unstructured":"Chen, Y., Li, E. M., & Xu, L. Y. (2022). Guide to Metabolomics Analysis: A Bioinformatics Workflow. Metabolites, 12(4), 357.","journal-title":"Metabolites"},{"issue":"11","key":"2169_CR53","doi-asserted-by":"publisher","first-page":"1564","DOI":"10.3390\/nu10111564","volume":"10","author":"V Cruzat","year":"2018","unstructured":"Cruzat, V., Macedo Rogero, M., Keane, N., Curi, K., R., & Newsholme, P. (2018). Glutamine: Metabolism and Immune function, supplementation and clinical translation. Nutrients, 10(11), 1564.","journal-title":"Nutrients"},{"key":"2169_CR15","doi-asserted-by":"crossref","unstructured":"Cui, L., Lee, Y. H., Kumar, Y., Xu, F., Lu, K., Ooi, E. E., Tannenbaum, S. R., & Ong, C. N. (2013). Serum metabolome and lipidome changes in adult patients with primary dengue infection. PLoS neglected tropical diseases, 7(8), e2373.","DOI":"10.1371\/journal.pntd.0002373"},{"issue":"1","key":"2169_CR40","doi-asserted-by":"publisher","first-page":"4","DOI":"10.3390\/metabo8010004","volume":"8","author":"M Cuperlovic-Culf","year":"2018","unstructured":"Cuperlovic-Culf, M. (2018). Machine Learning Methods for Analysis of Metabolic Data and metabolic pathway modeling. Metabolites, 8(1), 4.","journal-title":"Metabolites"},{"issue":"3","key":"2169_CR42","doi-asserted-by":"publisher","first-page":"742","DOI":"10.3390\/v15030742","volume":"15","author":"O De Santis","year":"2023","unstructured":"De Santis, O., Pothin, E., Bouscaren, N., Irish, S. R., Jaffar-Bandjee, M. C., Menudier, L., Ramis, J., Schultz, C., Lamaurt, F., Wisniak, A., Bertolotti, A., Hafsia, S., Dussart, P., Baril, L., Mavingui, P., & Flahault, A. (2023). Investigation of Dengue Infection in asymptomatic individuals during a recent outbreak in La R\u00e9union. Viruses, 15(3), 742.","journal-title":"Viruses"},{"issue":"16","key":"2169_CR58","doi-asserted-by":"publisher","first-page":"7429","DOI":"10.1128\/JVI.00187-16","volume":"90","author":"T El-Bacha","year":"2016","unstructured":"El-Bacha, T., Struchiner, C. J., Cordeiro, M. T., Almeida, F. C. L., Marques, E. T. Jr, & Da Poian, A. T. (2016). 1H nuclear magnetic resonance metabolomics of plasma unveils Liver Dysfunction in Dengue patients. Journal of Virology, 90(16), 7429\u20137443.","journal-title":"Journal of Virology"},{"key":"2169_CR29","doi-asserted-by":"publisher","first-page":"1017340","DOI":"10.3389\/fgene.2022.1017340","volume":"13","author":"A Galal","year":"2022","unstructured":"Galal, A., Talal, M., & Moustafa, A. (2022). Applications of machine learning in metabolomics: Disease modeling and classification. Frontiers in Genetics, 13, 1017340.","journal-title":"Frontiers in Genetics"},{"key":"2169_CR41","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1007\/978-1-0716-0239-3_16","volume":"2104","author":"T Ghosh","year":"2020","unstructured":"Ghosh, T., Zhang, W., Ghosh, D., & Kechris, K. (2020). Predictive modeling for Metabolomics Data. Methods in Molecular Biology (Clifton N J), 2104, 313\u2013336.","journal-title":"Methods in Molecular Biology (Clifton N J)"},{"issue":"4","key":"2169_CR36","doi-asserted-by":"publisher","first-page":"1503","DOI":"10.1016\/j.neuroimage.2008.01.056","volume":"40","author":"C Habeck","year":"2008","unstructured":"Habeck, C., Foster, N. L., Perneczky, R., Kurz, A., Alexopoulos, P., Koeppe, R. A., Drzezga, A., & Stern, Y. (2008). Multivariate and univariate neuroimaging biomarkers of Alzheimer\u2019s disease. Neuroimage, 40(4), 1503\u20131515.","journal-title":"Neuroimage"},{"issue":"5","key":"2169_CR59","doi-asserted-by":"publisher","first-page":"422","DOI":"10.1016\/j.chom.2010.10.006","volume":"8","author":"NS Heaton","year":"2010","unstructured":"Heaton, N. S., & Randall, G. (2010). Dengue virus-induced autophagy regulates lipid metabolism. Cell host & Microbe, 8(5), 422\u2013432.","journal-title":"Cell host & Microbe"},{"issue":"4","key":"2169_CR9","first-page":"e105","volume":"8","author":"JM Heilman","year":"2014","unstructured":"Heilman, J. M., De Wolff, J., Beards, G. M., & Basden, B. J. (2014). Dengue fever: A Wikipedia clinical review. Open Medicine, 8(4), e105\u2013e115. PMID: 25426178; PMCID: PMC4242787.","journal-title":"Open Medicine"},{"issue":"7","key":"2169_CR52","doi-asserted-by":"publisher","first-page":"998","DOI":"10.3390\/biom12070998","volume":"12","author":"K Hestad","year":"2022","unstructured":"Hestad, K., Alexander, J., Rootwelt, H., & Aaseth, J. O. (2022). The role of tryptophan dysmetabolism and quinolinic acid in depressive and neurodegenerative diseases. Biomolecules, 12(7), 998.","journal-title":"Biomolecules"},{"key":"2169_CR33","doi-asserted-by":"publisher","first-page":"137830","DOI":"10.1016\/j.chemosphere.2023.137830","volume":"317","author":"A Jala","year":"2023","unstructured":"Jala, A., Dutta, R., Josyula, J. V. N., Mutheneni, S. R., & Borkar, R. M. (2023). Environmental phenol exposure associates with urine metabolome alteration in young Northeast Indian females. Chemosphere, 317, 137830.","journal-title":"Chemosphere"},{"key":"2169_CR25","doi-asserted-by":"crossref","unstructured":"Jeanpierre, A. R., Mariappan, V., Green, S. R., Mutheneni, S. R., P, S., & Pillai, A. B. (2022). Plasma levels of Ceramides and their association with hematocrit and Thrombocytopenia in severe and non-severe dengue. bioRxiv, 2022\u20132006.","DOI":"10.1101\/2022.06.22.497160"},{"issue":"4","key":"2169_CR32","doi-asserted-by":"publisher","first-page":"669","DOI":"10.1021\/acs.chemrestox.2c00401","volume":"36","author":"SB Jorvekar","year":"2023","unstructured":"Jorvekar, S. B., Jala, A., Rai, A., Jangili, S., Adla, D., Borkar, G., Das, A., Kakati, K., Das, K., Sarma, A., Mutheneni, S. R., & Borkar, R. M. (2023). Urinary metabolomics identified metabolic perturbations Associated with Gutka, a Smokeless Form of Tobacco. Chemical Research in Toxicology, 36(4), 669\u2013684.","journal-title":"Chemical Research in Toxicology"},{"issue":"1","key":"2169_CR23","doi-asserted-by":"publisher","first-page":"8552","DOI":"10.1038\/s41598-017-08892-0","volume":"7","author":"NP Long","year":"2017","unstructured":"Long, N. P., Lim, D. K., Mo, C., Kim, G., & Kwon, S. W. (2017). Development and assessment of a lysophospholipid-based deep learning model to discriminate geographical origins of white rice. Scientific Reports, 7(1), 8552.","journal-title":"Scientific Reports"},{"issue":"10","key":"2169_CR61","doi-asserted-by":"publisher","first-page":"2422","DOI":"10.1016\/j.bbamcr.2016.01.023","volume":"1863","author":"N Longo","year":"2016","unstructured":"Longo, N., Frigeni, M., & Pasquali, M. (2016). Carnitine transport and fatty acid oxidation. Biochimica et biophysica acta, 1863(10), 2422\u20132435.","journal-title":"Biochimica et biophysica acta"},{"issue":"1","key":"2169_CR39","doi-asserted-by":"publisher","first-page":"bbac553","DOI":"10.1093\/bib\/bbac553","volume":"24","author":"Y Lu","year":"2023","unstructured":"Lu, Y., Pang, Z., & Xia, J. (2023). Comprehensive investigation of pathway enrichment methods for functional interpretation of LC-MS global metabolomics data. Briefings in Bioinformatics, 24(1), bbac553.","journal-title":"Briefings in Bioinformatics"},{"issue":"1","key":"2169_CR26","doi-asserted-by":"publisher","first-page":"47","DOI":"10.31887\/DCNS.2010.12.1\/jlunshof","volume":"12","author":"JE Lunshof","year":"2010","unstructured":"Lunshof, J. E., Bobe, J., Aach, J., Angrist, M., Thakuria, J. V., Vorhaus, D. B., Hoehe, M. R., & Church, G. M. (2010). Personal genomes in progress: From the human genome project to the personal genome project. Dialogues in Clinical Neuroscience, 12(1), 47\u201360.","journal-title":"Dialogues in Clinical Neuroscience"},{"issue":"2","key":"2169_CR44","doi-asserted-by":"publisher","first-page":"404","DOI":"10.1016\/0006-291X(81)91274-2","volume":"101","author":"B Malewicz","year":"1981","unstructured":"Malewicz, B., Parthasarathy, S., Jenkin, H. M., & Baumann, W. J. (1981). Rapid phospholipase A2 stimulation and diacylglycerol cholinephosphotransferase inhibition in baby hamster kidney cells during initiation of dengue virus infection. Biochemical and Biophysical Research Communications, 101(2), 404\u2013410.","journal-title":"Biochemical and Biophysical Research Communications"},{"key":"2169_CR31","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/j.freeradbiomed.2022.11.037","volume":"194","author":"V Mariappan","year":"2023","unstructured":"Mariappan, V., Adikari, S., Shanmugam, L., Easow, J. M., & Balakrishna Pillai, A. (2023). Differential expression of interferon inducible protein: Guanylate binding protein (GBP1 & GBP2) in severe dengue. Free Radical Biology & Medicine, 194, 131\u2013146.","journal-title":"Free Radical Biology & Medicine"},{"issue":"4","key":"2169_CR7","doi-asserted-by":"publisher","first-page":"564","DOI":"10.1128\/CMR.00035-09","volume":"22","author":"BE Martina","year":"2009","unstructured":"Martina, B. E., Koraka, P., & Osterhaus, A. D. (2009). Dengue virus pathogenesis: An integrated view. Clinical Microbiology Reviews, 22(4), 564\u2013581.","journal-title":"Clinical Microbiology Reviews"},{"key":"2169_CR30","doi-asserted-by":"publisher","first-page":"100101","DOI":"10.1016\/j.ibmed.2023.100101","volume":"8","author":"DD Martinelli","year":"2023","unstructured":"Martinelli, D. D. (2023). Machine learning for metabolomics research in drug discovery. Intelligence-Based Medicine, 8, 100101.","journal-title":"Intelligence-Based Medicine"},{"key":"2169_CR56","doi-asserted-by":"crossref","unstructured":"McMichael, L. E., Heath, H., Johnson, C. M., Fanter, R., Alarcon, N., Quintana-Diaz, A., Pilolla, K., Schaffner, A., Jelalian, E., Wing, R. R., Brito, A., Phelan, S., & Frano, L. (2021). M. R. Metabolites involved in purine degradation, insulin resistance, and fatty acid oxidation are associated with prediction of gestational diabetes in plasma. Metabolomics, 17(12), Article 105.","DOI":"10.1007\/s11306-021-01857-5"},{"issue":"5","key":"2169_CR6","doi-asserted-by":"publisher","first-page":"943","DOI":"10.4269\/ajtmh.2012.12-0020","volume":"87","author":"M Michels","year":"2012","unstructured":"Michels, M., van der Ven, A. J., Djamiatun, K., Fijnheer, R., de Groot, P. G., Griffioen, A. W., Sebastian, S., Faradz, S. M., & de Mast, Q. (2012). Imbalance of angiopoietin-1 and angiopoetin-2 in severe dengue and relationship with thrombocytopenia, endothelial activation, and vascular stability. The American Journal of Tropical Medicine and Hygiene, 87(5), 943\u2013946.","journal-title":"The American Journal of Tropical Medicine and Hygiene"},{"issue":"8","key":"2169_CR16","doi-asserted-by":"publisher","first-page":"919","DOI":"10.4155\/bio.12.61","volume":"4","author":"T Pacchiarotta","year":"2012","unstructured":"Pacchiarotta, T., Deelder, A. M., & Mayboroda, O. A. (2012). Metabolomic investigations of human infections. Bioanalysis, 4(8), 919\u2013925.","journal-title":"Bioanalysis"},{"issue":"10","key":"2169_CR60","doi-asserted-by":"publisher","first-page":"1140","DOI":"10.1038\/labinvest.2009.83","volume":"89","author":"MV Paes","year":"2009","unstructured":"Paes, M. V., Lenzi, H. L., Nogueira, A. C., Nuovo, G. J., Pinh\u00e3o, A. T., Mota, E. M., Bas\u00edlio-de-Oliveira, C. A., Schatzmayr, H., Barth, O. M., & Alves, A. M. (2009). Hepatic damage associated with dengue-2 virus replication in liver cells of BALB\/c mice. Laboratory Investigation; a Journal of Technical Methods and Pathology, 89(10), 1140\u20131151.","journal-title":"Laboratory Investigation; a Journal of Technical Methods and Pathology"},{"issue":"4","key":"2169_CR21","doi-asserted-by":"publisher","first-page":"633","DOI":"10.1016\/j.immuni.2013.04.005","volume":"38","author":"EL Pearce","year":"2013","unstructured":"Pearce, E. L., & Pearce, E. J. (2013). Metabolic pathways in immune cell activation and quiescence. Immunity, 38(4), 633\u2013643.","journal-title":"Immunity"},{"issue":"3","key":"2169_CR55","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1007\/s12192-022-01269-x","volume":"27","author":"A, B Pillai","year":"2022","unstructured":"Pillai, A.B., JeanPierre, A. R., Mariappan, V., Ranganadin, P., Rao, S. R. (2022). Neutralizing the free radicals could alleviate the disease severity following an infection by positive strand RNA viruses. Cell Stress & Chaperones, 27(3), 189\u2013195.","journal-title":"Cell Stress & Chaperones"},{"issue":"12","key":"2169_CR47","doi-asserted-by":"publisher","first-page":"2895","DOI":"10.1007\/s00705-019-04406-7","volume":"164","author":"AB Pillai","year":"2019","unstructured":"Pillai, A. B., Muthuraman, K. R., Mariappan, V., Belur, S. S., Lokesh, S., & Rajendiran, S. (2019). Oxidative stress response in the pathogenesis of dengue virus virulence, disease prognosis and therapeutics: An update. Archives of Virology, 164(12), 2895\u20132908.","journal-title":"Archives of Virology"},{"key":"2169_CR37","first-page":"78","volume":"2","author":"J Pires da Silva","year":"2022","unstructured":"Pires da Silva, J., Pietra, A. E., Baybayon-Grandgeorge, A. N., & Garcia, A. M. (2022). Serum metabolic profiling identifies key differences between patients with single-ventricle heart disease and healthy controls. Int J Transl Med, 2, 78\u201396.","journal-title":"Int J Transl Med"},{"issue":"1","key":"2169_CR17","doi-asserted-by":"publisher","first-page":"132","DOI":"10.1038\/s41392-023-01399-3","volume":"8","author":"S Qiu","year":"2023","unstructured":"Qiu, S., Cai, Y., Yao, H., Lin, C., Xie, Y., Tang, S., & Zhang, A. (2023). Small molecule metabolites: Discovery of biomarkers and therapeutic targets. Signal Transduction and Targeted Therapy, 8(1), 132.","journal-title":"Signal Transduction and Targeted Therapy"},{"issue":"12","key":"2169_CR45","doi-asserted-by":"publisher","first-page":"13866","DOI":"10.1096\/fj.201901095RR","volume":"33","author":"T Sanaki","year":"2019","unstructured":"Sanaki, T., Wakabayashi, M., Yoshioka, T., Yoshida, R., Shishido, T., Hall, W. W., Sawa, H., & Sato, A. (2019). Inhibition of dengue virus infection by 1-stearoyl-2-arachidonoyl-phosphatidylinositol in vitro. FASEB Journal: Official Publication of the Federation of American Societies for Experimental Biology, 33(12), 13866\u201313881.","journal-title":"FASEB Journal: Official Publication of the Federation of American Societies for Experimental Biology"},{"issue":"2","key":"2169_CR4","doi-asserted-by":"publisher","first-page":"179","DOI":"10.4103\/0972-9062.364766","volume":"60","author":"P Sankoju","year":"2023","unstructured":"Sankoju, P., Ravinuthala, V. S. U., Mopuri, R., Mutheneni, S. R., & Addlagatta, A. (2023). Genomic characterization and evolutionary analysis of dengue virus from Aedes mosquitoes in Telangana, India. Journal of Vector Borne Diseases, 60(2), 179\u2013186.","journal-title":"Journal of Vector Borne Diseases"},{"key":"2169_CR62","doi-asserted-by":"crossref","unstructured":"Shill, D. K., Jahan, S., Alam, M. M. (2023). S-Adenosyl-l-Homocysteine exhibits potential antiviral activity against dengue virus serotype-3 (DENV-3) in Bangladesh: A viroinformatics-based approach. Bioinformatics and Biology Insights, 17.","DOI":"10.1177\/11779322231158249"},{"issue":"6","key":"2169_CR10","first-page":"1042","volume":"102","author":"A Srikiatkhachorn","year":"2009","unstructured":"Srikiatkhachorn, A. (2009). Plasma leakage in dengue haemorrhagic fever. Thrombosis and Haemostasis, 102(6), 1042\u20131049.","journal-title":"Thrombosis and Haemostasis"},{"issue":"2","key":"2169_CR43","doi-asserted-by":"publisher","first-page":"168","DOI":"10.1007\/s12098-022-04394-8","volume":"90","author":"A Tayal","year":"2023","unstructured":"Tayal, A., Kabra, S. K., & Lodha, R. (2023). Management of Dengue: An updated review. Indian Journal of Pediatrics, 90(2), 168\u2013177.","journal-title":"Indian Journal of Pediatrics"},{"key":"2169_CR8","doi-asserted-by":"crossref","unstructured":"Thach, T. Q., Eisa, H. G., Hmeda, A. B., Faraj, H., Thuan, T. M., Abdelrahman, M. M., Awadallah, M. G., Ha, N. X., Noeske, M., Aziz, A., Nam, J. M., Nile, N. H., Dumre, M. E., Huy, S. P., N. T., & Hirayama, K. (2021). Predictive markers for the early prognosis of dengue severity: A systematic review and meta-analysis. PLoS neglected tropical diseases, 15(10), e0009808.","DOI":"10.1371\/journal.pntd.0009808"},{"issue":"3","key":"2169_CR18","doi-asserted-by":"publisher","first-page":"376","DOI":"10.1039\/D1MO00017A","volume":"17","author":"V Tounta","year":"2021","unstructured":"Tounta, V., Liu, Y., Cheyne, A., & Larrouy-Maumus, G. (2021). Metabolomics in infectious diseases and drug discovery. Molecular Omics, 17(3), 376\u2013393.","journal-title":"Molecular Omics"},{"issue":"1","key":"2169_CR2","doi-asserted-by":"publisher","first-page":"123","DOI":"10.1186\/s40249-021-00908-2","volume":"10","author":"T Tsheten","year":"2021","unstructured":"Tsheten, T., Clements, A. C. A., Gray, D. J., Adhikary, R. K., Furuya-Kanamori, L., & Wangdi, K. (2021). Clinical predictors of severe dengue: A systematic review and meta-analysis. Infectious Diseases of Poverty, 10(1), 123.","journal-title":"Infectious Diseases of Poverty"},{"key":"2169_CR13","unstructured":"UNICEF, & World Health Organization (2004). Dengue diagnostics: Proceedings of an international workshop. Special Programme for Research and Training in Tropical Diseases. WHO\/TDR. Geneva, Switzerland. pp. 3\u201311, 76\u20139."},{"issue":"2","key":"2169_CR46","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1177\/2042018810375656","volume":"1","author":"V Vangaveti","year":"2010","unstructured":"Vangaveti, V., Baune, B. T., & Kennedy, R. L. (2010). Hydroxyoctadecadienoic acids: Novel regulators of macrophage differentiation and atherogenesis. Therapeutic Advances in Endocrinology and Metabolism, 1(2), 51\u201360.","journal-title":"Therapeutic Advances in Endocrinology and Metabolism"},{"issue":"5","key":"2169_CR57","doi-asserted-by":"publisher","first-page":"2717","DOI":"10.3390\/ijms23052717","volume":"23","author":"MA Virmani","year":"2022","unstructured":"Virmani, M. A., & Cirulli, M. (2022). The role of l-Carnitine in Mitochondria, Prevention of metabolic inflexibility and disease initiation. International Journal of Molecular Sciences, 23(5), 2717.","journal-title":"International Journal of Molecular Sciences"},{"issue":"5","key":"2169_CR20","doi-asserted-by":"publisher","first-page":"500","DOI":"10.1016\/j.semnephrol.2010.07.007","volume":"30","author":"JH Wang","year":"2010","unstructured":"Wang, J. H., Byun, J., & Pennathur, S. (2010). Analytical approaches to metabolomics and applications to systems biology. Seminars in Nephrology, 30(5), 500\u2013511.","journal-title":"Seminars in Nephrology"},{"issue":"15","key":"2169_CR50","doi-asserted-by":"publisher","first-page":"3683","DOI":"10.3390\/ijms20153683","volume":"20","author":"T Wang","year":"2019","unstructured":"Wang, T., Fu, X., Chen, Q., Patra, J. K., Wang, D., Wang, Z., & Gai, Z. (2019). Arachidonic acid metabolism and kidney inflammation. International Journal of Molecular Sciences, 20(15), 3683.","journal-title":"International Journal of Molecular Sciences"},{"issue":"6","key":"2169_CR11","doi-asserted-by":"publisher","first-page":"963","DOI":"10.1016\/j.jmii.2020.03.007","volume":"53","author":"WH Wang","year":"2020","unstructured":"Wang, W. H., Urbina, A. N., Chang, M. R., Assavalapsakul, W., Lu, P. L., Chen, Y. H., & Wang, S. F. (2020). Dengue hemorrhagic fever - A systemic literature review of current perspectives on pathogenesis, prevention and control. Journal of Microbiology Immunology and Infection\u2009=\u2009Wei Mian Yu Gan ran Za Zhi, 53(6), 963\u2013978.","journal-title":"Journal of Microbiology Immunology and Infection\u2009=\u2009Wei Mian Yu Gan ran Za Zhi"},{"issue":"1","key":"2169_CR51","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1038\/s41392-020-00443-w","volume":"6","author":"B Wang","year":"2021","unstructured":"Wang, B., Wu, L., Chen, J., et al. (2021). Metabolism pathways of arachidonic acids: Mechanisms and potential therapeutic targets. Signal Transduction and Targeted Therapy, 6(1), 94.","journal-title":"Signal Transduction and Targeted Therapy"},{"key":"2169_CR5","unstructured":"World Health Organization. (2009). Dengue guidelines for diagnosis, treatment, prevention, and control. World Health Organization."},{"key":"2169_CR1","unstructured":"World Health Organization. (2023). Dengue and severe dengue. World Health Organization."},{"key":"2169_CR34","doi-asserted-by":"publisher","first-page":"14101","DOI":"10.1002\/cpbi.11","volume":"55","author":"J Xia","year":"2016","unstructured":"Xia, J., & Wishart, D. S. (2016). Using MetaboAnalyst 3.0 for Comprehensive Metabolomics Data Analysis. Current Protocols in Bioinformatics, 55, 14101\u2013141091.","journal-title":"Current Protocols in Bioinformatics"},{"issue":"8","key":"2169_CR48","first-page":"1615","volume":"12","author":"M Xue","year":"2023","unstructured":"Xue, M., Xu, P., Wen, H., Chen, J., Wang, Q., He, J., He, C., Kong, C., Song, C., & Li, H. (2023). Peroxisome proliferator-activated receptor signaling-mediated 13-S-Hydroxyoctadecenoic acid is involved in lipid metabolic disorder and oxidative stress in the liver of Freshwater Drum, Aplodinotus grunniens. Antioxidants (Basel Switzerland), 12(8), 1615.","journal-title":"Antioxidants (Basel Switzerland)"},{"key":"2169_CR49","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Liu, Y., Sun, J., Zhang, W., Guo, Z., & Ma, Q. (2023). Arachidonic acid metabolism in health and disease. MedComm, 4(5), e363.","DOI":"10.1002\/mco2.363"}],"container-title":["Metabolomics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11306-024-02169-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11306-024-02169-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11306-024-02169-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,23]],"date-time":"2024-10-23T01:16:00Z","timestamp":1729646160000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11306-024-02169-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,21]]},"references-count":61,"journal-issue":{"issue":"5","published-online":{"date-parts":[[2024,10]]}},"alternative-id":["2169"],"URL":"https:\/\/doi.org\/10.1007\/s11306-024-02169-0","relation":{},"ISSN":["1573-3890"],"issn-type":[{"value":"1573-3890","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,9,21]]},"assertion":[{"value":"27 January 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 September 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"21 September 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The study was approved by the Institutional Human Ethical Review Committee (ECR\/451\/Inst\/PO\/2013\/RR-16) of Mahatma Gandhi Medical College and Research Institute, Pondicherry. Before collecting the samples, the study was explained to all the participants, and written informed consent was obtained.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"104"}}