Cargando…

Serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study

Multiple myeloma (MM) is the second most prevalent hematological malignancy characterized by rapid proliferation of plasma cells, which leads to overproduction of antibodies. MM affects around 15% of all hemato-oncology cases across the world. The present study involves identification of metabolomic...

Descripción completa

Detalles Bibliográficos
Autores principales: Chanukuppa, Venkatesh, More, Tushar H., Taunk, Khushman, Taware, Ravindra, Chatterjee, Tathagata, Sharma, Sanjeevan, Rapole, Srikanth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society of Chemistry 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071903/
https://www.ncbi.nlm.nih.gov/pubmed/35531512
http://dx.doi.org/10.1039/c9ra04458b
_version_ 1784700932630511616
author Chanukuppa, Venkatesh
More, Tushar H.
Taunk, Khushman
Taware, Ravindra
Chatterjee, Tathagata
Sharma, Sanjeevan
Rapole, Srikanth
author_facet Chanukuppa, Venkatesh
More, Tushar H.
Taunk, Khushman
Taware, Ravindra
Chatterjee, Tathagata
Sharma, Sanjeevan
Rapole, Srikanth
author_sort Chanukuppa, Venkatesh
collection PubMed
description Multiple myeloma (MM) is the second most prevalent hematological malignancy characterized by rapid proliferation of plasma cells, which leads to overproduction of antibodies. MM affects around 15% of all hemato-oncology cases across the world. The present study involves identification of metabolomic alterations in the serum of an MM cohort compared to healthy controls using both LC-MRM/MS based targeted and GC-MS based untargeted approaches. Several MM specific serum metabolomic signatures were observed in this study. A total of 54 metabolites were identified as being significantly altered in MM cohort, out of which, 26 metabolites were identified from LC-MRM/MS based targeted analysis, whereas 28 metabolites were identified from the GC-MS based untargeted analysis. Receiver operating characteristic (ROC) curve analysis demonstrated that six metabolites each from both the datasets can be projected as marker metabolites to discriminate MM subjects with higher specificity and sensitivity. Moreover, pathway analysis deciphered that several metabolic pathways were altered in MM including pyrimidine metabolism, purine metabolism, amino acid metabolism, nitrogen metabolism, sulfur metabolism, and the citrate cycle. Comprehensively, this study contributes valuable information regarding MM induced serum metabolite alterations and their pathways, which could offer further insights into this cancer.
format Online
Article
Text
id pubmed-9071903
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher The Royal Society of Chemistry
record_format MEDLINE/PubMed
spelling pubmed-90719032022-05-06 Serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study Chanukuppa, Venkatesh More, Tushar H. Taunk, Khushman Taware, Ravindra Chatterjee, Tathagata Sharma, Sanjeevan Rapole, Srikanth RSC Adv Chemistry Multiple myeloma (MM) is the second most prevalent hematological malignancy characterized by rapid proliferation of plasma cells, which leads to overproduction of antibodies. MM affects around 15% of all hemato-oncology cases across the world. The present study involves identification of metabolomic alterations in the serum of an MM cohort compared to healthy controls using both LC-MRM/MS based targeted and GC-MS based untargeted approaches. Several MM specific serum metabolomic signatures were observed in this study. A total of 54 metabolites were identified as being significantly altered in MM cohort, out of which, 26 metabolites were identified from LC-MRM/MS based targeted analysis, whereas 28 metabolites were identified from the GC-MS based untargeted analysis. Receiver operating characteristic (ROC) curve analysis demonstrated that six metabolites each from both the datasets can be projected as marker metabolites to discriminate MM subjects with higher specificity and sensitivity. Moreover, pathway analysis deciphered that several metabolic pathways were altered in MM including pyrimidine metabolism, purine metabolism, amino acid metabolism, nitrogen metabolism, sulfur metabolism, and the citrate cycle. Comprehensively, this study contributes valuable information regarding MM induced serum metabolite alterations and their pathways, which could offer further insights into this cancer. The Royal Society of Chemistry 2019-09-18 /pmc/articles/PMC9071903/ /pubmed/35531512 http://dx.doi.org/10.1039/c9ra04458b Text en This journal is © The Royal Society of Chemistry https://creativecommons.org/licenses/by-nc/3.0/
spellingShingle Chemistry
Chanukuppa, Venkatesh
More, Tushar H.
Taunk, Khushman
Taware, Ravindra
Chatterjee, Tathagata
Sharma, Sanjeevan
Rapole, Srikanth
Serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study
title Serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study
title_full Serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study
title_fullStr Serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study
title_full_unstemmed Serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study
title_short Serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study
title_sort serum metabolomic alterations in multiple myeloma revealed by targeted and untargeted metabolomics approaches: a pilot study
topic Chemistry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9071903/
https://www.ncbi.nlm.nih.gov/pubmed/35531512
http://dx.doi.org/10.1039/c9ra04458b
work_keys_str_mv AT chanukuppavenkatesh serummetabolomicalterationsinmultiplemyelomarevealedbytargetedanduntargetedmetabolomicsapproachesapilotstudy
AT moretusharh serummetabolomicalterationsinmultiplemyelomarevealedbytargetedanduntargetedmetabolomicsapproachesapilotstudy
AT taunkkhushman serummetabolomicalterationsinmultiplemyelomarevealedbytargetedanduntargetedmetabolomicsapproachesapilotstudy
AT tawareravindra serummetabolomicalterationsinmultiplemyelomarevealedbytargetedanduntargetedmetabolomicsapproachesapilotstudy
AT chatterjeetathagata serummetabolomicalterationsinmultiplemyelomarevealedbytargetedanduntargetedmetabolomicsapproachesapilotstudy
AT sharmasanjeevan serummetabolomicalterationsinmultiplemyelomarevealedbytargetedanduntargetedmetabolomicsapproachesapilotstudy
AT rapolesrikanth serummetabolomicalterationsinmultiplemyelomarevealedbytargetedanduntargetedmetabolomicsapproachesapilotstudy