Serum Metabolomics Coupling With Clinical Laboratory Indicators Reveal Taxonomic Features of Leukemia

Abstract

Metabolic abnormality has been considered to be the seventh characteristic in cancer cells. The potential prospect of using serum biomarkers metabolites to differentiate ALL from AML remains unclear. The purpose of our study is to probe whether the differences in metabolomics are related to clinical laboratory-related indicators. We used LC-MS-based metabolomics analysis to study 50 peripheral blood samples of leukemia patients from a single center. Then Chi-square test and T test were used to analyze the clinical characteristics, laboratory indicators and cytokines of 50 patients with leukemia. Correlation analysis was used to explore the relationship between them and the differential metabolites of different types of leukemia. Our study shows that it is feasible to better identify serum metabolic differences in different types and states of leukemia by metabolomic analysis on existing clinical diagnostic techniques. The metabolism of choline and betaine may also be significantly related to the patient’s blood lipid profile. The main enrichment pathways for distinguishing differential metabolites in different types of leukemia are amino acid metabolism and fatty acid metabolism. All these findings suggested that differential metabolites and lipid profiles might identify different types of leukemia based on existing clinical diagnostic techniques, and their rich metabolic pathways help us to better understand the physiological characteristics of leukemia.

Profiling of serum metabolome of breast cancer: multi-cancer features discriminate between healthy women and patients with breast cancer

“…Though major cancer-related changes in cellular metabolism are common for malignant cells (29, 30), specific differences could be observed when metabolic profiles of serum/plasma are compared among patients with different types of cancer. For example, differences in serum levels of certain amino acids and lipids were reported in patients with different leukemias (31). Here we observed several differences in serum metabolome patterns among four types of solid cancers.…”

miRNA-1 promotes acute myeloid leukemia cell pathogenesis through metabolic regulation

“…FLT3-ITD + AML is one of the most aggressive commonly occurring mutations observed in AML patients with bad prognosis. Altered metabolomics and dysregulated miRNA profiles are characteristics observed in FLT3-ITD AML patients ( Wallace and O'Connell, 2017 ; Lo Presti et al, 2021 ; Kreitz et al, 2019 ; Musharraf et al, 2016 ; Wang et al, 2019 ; Xiong et al, 2022 ). Numerous studies have found links between miRNAs and key genes involved in metabolism ( Hatziapostolou et al, 2013 ) in different cancer models; however, little is known whether altered metabolism can cause dysregulation of miRNA expression in AML, or other cancer settings.…”

Vitamin D: genetic regulation of inflammation in autoimmune, metabolic and microbial models

“…Аутоиммунное воспаление манифестируя в детском возрасте, имеет склонность к формированию синтропий и множественных осложнений, влияющих на качество и продолжительность жизни пациента во взрослом возрасте [1,2]. Лимфопролиферативное воспаление у детей с одной стороны в настоящее время значительно лучше контролируется таргетными противоопухолевыми препаратами, с другой стороны, существование гетерогенного клеточного микроокружения опухоли, резистентные формы рака, развитие отдаленных осложнений в отсутствии первичного очага и тяжелых краткосрочных осложнений на фоне глубокой иммуносупрессии и генерализации микробного компонента воспаления требует уточнения генетических механизмов цитокиновой регуляции в детском возрасте [3][4][5]. Микробное воспаление при муковисцидозе имеет прогрессирующий характер и приводит к раннему снижению функции легких у детей, являясь основной причиной для трансплантации органов, а также приводит к снижению эффективности таргетной терапии [6,7], а при пиелонефрите у детей реализуется в хроническую болезнь почек, которая не имеет обратного развития и характеризуется прогредиентным течением [8][9][10][11].…”