Mathematical models of amino acid panel for assisting diagnosis of children acute leukemia
Abstract Background The altered concentrations of amino acids were found in the bone marrow or blood of leukemia patients. Metabolomics technology combining mathematical model of biomarkers could be used for assisting the diagnosis of pediatric acute leukemia (AL). Methods The concentrations of 17 a...
| Main Authors: | , , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2019-01-01
|
| Series: | Journal of Translational Medicine |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12967-019-1783-9 |
| _version_ | 1819265762760589312 |
|---|---|
| author | Zhidai Liu Tingting Zhou Xing Han Tingyuan Lang Shan Liu Penghui Zhang Haiyan Liu Kexing Wan Jie Yu Liang Zhang Liyan Chen Roger W. Beuerman Bin Peng Lei Zhou Lin Zou |
| author_facet | Zhidai Liu Tingting Zhou Xing Han Tingyuan Lang Shan Liu Penghui Zhang Haiyan Liu Kexing Wan Jie Yu Liang Zhang Liyan Chen Roger W. Beuerman Bin Peng Lei Zhou Lin Zou |
| author_sort | Zhidai Liu |
| collection | DOAJ |
| description | Abstract Background The altered concentrations of amino acids were found in the bone marrow or blood of leukemia patients. Metabolomics technology combining mathematical model of biomarkers could be used for assisting the diagnosis of pediatric acute leukemia (AL). Methods The concentrations of 17 amino acids was measured by targeted liquid chromatograph–tandem mass spectrometry in periphery blood collected using dried blood spots. After evaluation, the mathematical models were further evaluated by prospective clinical validation cohort for AL diagnosis. Results The concentrations of 13 in 17 amino acids were statistically different between the periphery blood dried serum dots measured by targeted LC–MS/MS. The receiver operating characteristic analysis for the models of amino acid panel showed that the area under curve for AL diagnosis were 0.848, 0.834 and 0.856 by SVM, RF and XGBoost. The Kappa values in further prospectively evaluated clinical cohort were 0.697, 0.703 and 0.789 (p > 0.05) respectively, and the accuracies for the models were 84.86%, 85.20% and 89.46% respectively with further clinical validation. Conclusions The established mathematical model is a faster, cheaper and more convenient way than conventional methods, and no significant difference on the effect of diagnosis comparing with conventional methods. The mathematical model can be clinically useful for assisting pediatric AL diagnosis. |
| first_indexed | 2024-12-23T20:50:32Z |
| format | Article |
| id | doaj.art-2082bda4f4504c04a850da192c9d504c |
| institution | Directory Open Access Journal |
| issn | 1479-5876 |
| language | English |
| last_indexed | 2024-12-23T20:50:32Z |
| publishDate | 2019-01-01 |
| publisher | BMC |
| record_format | Article |
| series | Journal of Translational Medicine |
| spelling | doaj.art-2082bda4f4504c04a850da192c9d504c2022-12-21T17:31:40ZengBMCJournal of Translational Medicine1479-58762019-01-0117111110.1186/s12967-019-1783-9Mathematical models of amino acid panel for assisting diagnosis of children acute leukemiaZhidai Liu0Tingting Zhou1Xing Han2Tingyuan Lang3Shan Liu4Penghui Zhang5Haiyan Liu6Kexing Wan7Jie Yu8Liang Zhang9Liyan Chen10Roger W. Beuerman11Bin Peng12Lei Zhou13Lin Zou14Clinical Center for Molecular Medicine, Children’s Hospital of Chongqing Medical UniversityDepartment of Endocrinology and Metabolism, The Second Affiliated Hospital of Chongqing Medical UniversityClinical Center for Molecular Medicine, Children’s Hospital of Chongqing Medical UniversityKey Laboratory of Clinical Laboratory Diagnostics (Ministry of Education), College of Laboratory Medicine, Chongqing Medical UniversityClinical Center for Molecular Medicine, Children’s Hospital of Chongqing Medical UniversityClinical Laboratory Center, Children’s Hospital of Chongqing Medical UniversityDepartment of Hematology, Children’s Hospital of Chongqing Medical UniversityClinical Center for Molecular Medicine, Children’s Hospital of Chongqing Medical UniversityDepartment of Hematology, Children’s Hospital of Chongqing Medical UniversityDepartment of Statistics and Applied Probability, Faculty of Science, National University of SingaporeSingapore Eye Research InstituteSingapore Eye Research InstituteDepartment of Health Statistics, School of Public Health, Chongqing Medical UniversitySingapore Eye Research InstituteClinical Center for Molecular Medicine, Children’s Hospital of Chongqing Medical UniversityAbstract Background The altered concentrations of amino acids were found in the bone marrow or blood of leukemia patients. Metabolomics technology combining mathematical model of biomarkers could be used for assisting the diagnosis of pediatric acute leukemia (AL). Methods The concentrations of 17 amino acids was measured by targeted liquid chromatograph–tandem mass spectrometry in periphery blood collected using dried blood spots. After evaluation, the mathematical models were further evaluated by prospective clinical validation cohort for AL diagnosis. Results The concentrations of 13 in 17 amino acids were statistically different between the periphery blood dried serum dots measured by targeted LC–MS/MS. The receiver operating characteristic analysis for the models of amino acid panel showed that the area under curve for AL diagnosis were 0.848, 0.834 and 0.856 by SVM, RF and XGBoost. The Kappa values in further prospectively evaluated clinical cohort were 0.697, 0.703 and 0.789 (p > 0.05) respectively, and the accuracies for the models were 84.86%, 85.20% and 89.46% respectively with further clinical validation. Conclusions The established mathematical model is a faster, cheaper and more convenient way than conventional methods, and no significant difference on the effect of diagnosis comparing with conventional methods. The mathematical model can be clinically useful for assisting pediatric AL diagnosis.http://link.springer.com/article/10.1186/s12967-019-1783-9Acute leukemiaMathematical modelAmino acid panelMass spectrometry |
| spellingShingle | Zhidai Liu Tingting Zhou Xing Han Tingyuan Lang Shan Liu Penghui Zhang Haiyan Liu Kexing Wan Jie Yu Liang Zhang Liyan Chen Roger W. Beuerman Bin Peng Lei Zhou Lin Zou Mathematical models of amino acid panel for assisting diagnosis of children acute leukemia Journal of Translational Medicine Acute leukemia Mathematical model Amino acid panel Mass spectrometry |
| title | Mathematical models of amino acid panel for assisting diagnosis of children acute leukemia |
| title_full | Mathematical models of amino acid panel for assisting diagnosis of children acute leukemia |
| title_fullStr | Mathematical models of amino acid panel for assisting diagnosis of children acute leukemia |
| title_full_unstemmed | Mathematical models of amino acid panel for assisting diagnosis of children acute leukemia |
| title_short | Mathematical models of amino acid panel for assisting diagnosis of children acute leukemia |
| title_sort | mathematical models of amino acid panel for assisting diagnosis of children acute leukemia |
| topic | Acute leukemia Mathematical model Amino acid panel Mass spectrometry |
| url | http://link.springer.com/article/10.1186/s12967-019-1783-9 |
| work_keys_str_mv | AT zhidailiu mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT tingtingzhou mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT xinghan mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT tingyuanlang mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT shanliu mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT penghuizhang mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT haiyanliu mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT kexingwan mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT jieyu mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT liangzhang mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT liyanchen mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT rogerwbeuerman mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT binpeng mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT leizhou mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia AT linzou mathematicalmodelsofaminoacidpanelforassistingdiagnosisofchildrenacuteleukemia |