» Articles » PMID: 28198811

β-Thalassemia Patients Revealed a Significant Change of Untargeted Metabolites in Comparison to Healthy Individuals

Overview
Journal Sci Rep
Specialty Science
Date 2017 Feb 16
PMID 28198811
Citations 19
Authors
Affiliations
Soon will be listed here.
Abstract

β-Thalassemia is one of the most prevalent forms of congenital blood disorders characterized by reduced hemoglobin levels with severe complications, affecting all dimensions of life. The mechanisms underlying the phenotypic heterogeneity of β-thalassemia are still poorly understood. We aimed to work over metabolite biomarkers to improve mechanistic understanding of phenotypic heterogeneity and hence better management of disorder at different levels. Untargeted serum metabolites were analyzed after protein precipitation and SPE (solid phase extraction) from 100 β-thalassemia patients and 61 healthy controls using GC-MS. 40 metabolites were identified having a significance difference between these two groups at probability of 0.05 and fold change >1.5. Out of these 40 metabolites, 17 were up-regulated while 23 were down-regulated. PCA and PLS-DA model was also created that revealed a fine separation with a sensitivity of 70% and specificity of 100% on external validation of samples. Metabolic pathway analysis revealed alteration in multiple pathways including glycolysis, pyruvate, propanoate, glycerophospholipid, galactose, fatty acid, starch and sucrose metabolism along with fatty acid elongation in mitochondria, glycerolipid, glyoxylate and dicarboxylate metabolism pointing towards the shift of metabolism in β-thalassemia patients in comparison to healthy individuals.

Citing Articles

Preliminary screening of biomarkers and drug candidates in a mouse model of β-thalassemia based on quasi-targeted metabolomics.

Guo X, Zhang X, Li M, Peng Y, Wang Z, Liu J Front Physiol. 2024; 15:1452558.

PMID: 39247159 PMC: 11377281. DOI: 10.3389/fphys.2024.1452558.


Concurrent Challenges in Idiopathic Hypereosinophilic Syndrome Complicating Beta-Thalassemia Major: A Case Report.

Daiya V, Kumar S, Acharya S, Pradeep U, Jaiswal S Cureus. 2024; 16(3):e56199.

PMID: 38618303 PMC: 11016322. DOI: 10.7759/cureus.56199.


Molecular Characterization of α- and β-Thalassemia Among Children Less Than 18 Years Old in Guizhou, China.

Li Y, Jin J, Tuo Y, Huang P, Huang J, Yang H J Clin Lab Anal. 2024; 38(6):e25022.

PMID: 38506255 PMC: 10997815. DOI: 10.1002/jcla.25022.


Metabolic regulation of erythrocyte development and disorders.

Lyu J, Ni M, Weiss M, Xu J Exp Hematol. 2024; 131:104153.

PMID: 38237718 PMC: 10939827. DOI: 10.1016/j.exphem.2024.104153.


Biochemical phenotyping of paroxysmal nocturnal hemoglobinuria reveals solute carriers and β-oxidation deficiencies.

Eiko Yamakawa P, Fonseca A, da Silva I, Vescovi Goncalves M, Marchioni D, Carioca A PLoS One. 2023; 18(8):e0289285.

PMID: 37527257 PMC: 10393180. DOI: 10.1371/journal.pone.0289285.


References
1.
Wishart D . Emerging applications of metabolomics in drug discovery and precision medicine. Nat Rev Drug Discov. 2016; 15(7):473-84. DOI: 10.1038/nrd.2016.32. View

2.
Kanehisa M, Goto S . KEGG: kyoto encyclopedia of genes and genomes. Nucleic Acids Res. 1999; 28(1):27-30. PMC: 102409. DOI: 10.1093/nar/28.1.27. View

3.
Rivella S . β-thalassemias: paradigmatic diseases for scientific discoveries and development of innovative therapies. Haematologica. 2015; 100(4):418-30. PMC: 4380714. DOI: 10.3324/haematol.2014.114827. View

4.
De Sanctis V, Soliman A, Elsedfy H, Pepe A, Kattamis C, El Kholy M . Diabetes and Glucose Metabolism in Thalassemia Major: An Update. Expert Rev Hematol. 2015; 9(4):401-8. DOI: 10.1586/17474086.2016.1136209. View

5.
Makis A, Challa A, Hatzimichael E, Briasoulis E, Siamopoulou A, Chaliasos N . Adipocytokines are related to haemolytic and inflammatory biomarkers in sickle cell beta thalassaemia. Br J Haematol. 2013; 163(1):142-4. DOI: 10.1111/bjh.12464. View