4 research outputs found
Chirality Control in Enzyme-Catalyzed Dynamic Kinetic Resolution of 1,3-Oxathiolanes
The
origin of enantioenrichment in enzyme-catalyzed dynamic kinetic
resolution of 1,3-oxathiolane derivatives, key intermediates for asymmetric
lamivudine synthesis, was elucidated. The chirality control could
be determined by chiral HPLC and NOE NMR spectroscopy using a modified
1,3-oxathiolane compound obtained through enzyme-catalyzed selective
hydrolysis. Solvent-dependent stereoselectivity was observed under
biphasic conditions using different organic solvents with phosphate
buffer
Trehalose-Conjugated, Photofunctionalized Mesoporous Silica Nanoparticles for Efficient Delivery of Isoniazid into Mycobacteria
Glyconanoparticle carriers have been
synthesized and efficiently
delivered into mycobacteria. Mesoporous silica nanoparticles were
functionalized with <i>α,α</i>-trehalose through
azide-mediated surface photoligation, and loaded with the antitubercular
drug isoniazid. The glyconanoparticles showed high isoniazid loading
capacity and higher antimicrobial activity than the free drug
Elucidating the Heterogeneity of Serum Metabolism in Patients with Myelodysplastic Syndrome and Acute Myeloid Leukemia by Raman Spectroscopy
Myelodysplastic syndrome
(MDS) is difficult to diagnose and classify
because it has the potential to evolve into acute myeloid leukemia
(AML). Raman spectroscopy and orthogonal partial least squares discrimination
analysis (OPLS-DA) are used to systematically analyze peripheral blood
serum samples from 33 patients with MDS, 25 patients with AML, and
29 control volunteers to gain insight into the heterogeneity of serum
metabolism in patients with MDS and AML. AML patients show unique
serum spectral data compared to MDS patients with considerably greater
peak intensities of collagen (859 and 1345 cm–1)
and carbohydrate (920 and 1123 cm–1) compared to
MDS patients. Screening and bioinformatics analysis of MDS- and AML-related
genes based on the Gene Expression Omnibus (GEO) database shows that
1459 genes are differentially expressed, and the main signaling pathways
are related to Th17 cell differentiation, pertussis, and cytokine
receptor interaction. Statistical analysis of serological indexes
related to glucose and lipid metabolism shows that patients with AML
have increased serum triglyceride (TG) levels and decreased total
protein levels. This study provides a spectral basis for the relationship
between the massive serological data of patients and the typing of
MDS and AML and provides important information for the rapid and early
identification of MDS and AML
DataSheet_1_Key candidate genes and pathways in T lymphoblastic leukemia/lymphoma identified by bioinformatics and serological analyses.docx
T-cell acute lymphoblastic leukemia (T-ALL)/T-cell lymphoblastic lymphoma (T-LBL) is an uncommon but highly aggressive hematological malignancy. It has high recurrence and mortality rates and is challenging to treat. This study conducted bioinformatics analyses, compared genetic expression profiles of healthy controls with patients having T-ALL/T-LBL, and verified the results through serological indicators. Data were acquired from the GSE48558 dataset from Gene Expression Omnibus (GEO). T-ALL patients and normal T cells-related differentially expressed genes (DEGs) were investigated using the online analysis tool GEO2R in GEO, identifying 78 upregulated and 130 downregulated genes. Gene Ontology (GO) and protein-protein interaction (PPI) network analyses of the top 10 DEGs showed enrichment in pathways linked to abnormal mitotic cell cycles, chromosomal instability, dysfunction of inflammatory mediators, and functional defects in T-cells, natural killer (NK) cells, and immune checkpoints. The DEGs were then validated by examining blood indices in samples obtained from patients, comparing the T-ALL/T-LBL group with the control group. Significant differences were observed in the levels of various blood components between T-ALL and T-LBL patients. These components include neutrophils, lymphocyte percentage, hemoglobin (HGB), total protein, globulin, erythropoietin (EPO) levels, thrombin time (TT), D-dimer (DD), and C-reactive protein (CRP). Additionally, there were significant differences in peripheral blood leukocyte count, absolute lymphocyte count, creatinine, cholesterol, low-density lipoprotein, folate, and thrombin times. The genes and pathways associated with T-LBL/T-ALL were identified, and peripheral blood HGB, EPO, TT, DD, and CRP were key molecular markers. This will assist the diagnosis of T-ALL/T-LBL, with applications for differential diagnosis, treatment, and prognosis.</p