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1.
Medicine (Baltimore) ; 103(24): e38556, 2024 Jun 14.
Article in English | MEDLINE | ID: mdl-38875377

ABSTRACT

This study aimed to assess hematological diseases next-generation sequencing (NGS) panel enhances the diagnosis and classification of myeloid neoplasms (MN) using the 5th edition of the WHO Classification of Hematolymphoid Tumors (WHO-HAEM5) and the International Consensus Classification (ICC) of Myeloid Tumors. A cohort of 112 patients diagnosed with MN according to the revised fourth edition of the WHO classification (WHO-HAEM4R) underwent testing with a 141-gene NGS panel for hematological diseases. Ancillary studies were also conducted, including bone marrow cytomorphology and routine cytogenetics. The cases were then reclassified according to WHO-HAEM5 and ICC to assess the practical impact of these 2 classifications. The mutation detection rates were 93% for acute myeloid leukemia (AML), 89% for myelodysplastic syndrome (MDS), 94% for myeloproliferative neoplasm (MPN), and 100% for myelodysplasia/myeloproliferative neoplasm (MDS/MPN) (WHO-HAEM4R). NGS provided subclassified information for 26 and 29 patients with WHO-HAEM5 and ICC, respectively. In MPN, NGS confirmed diagnoses in 16 cases by detecting JAK2, MPL, or CALR mutations, whereas 13 "triple-negative" MPN cases revealed at least 1 mutation. NGS panel testing for hematological diseases improves the diagnosis and classification of MN. When diagnosed with ICC, NGS produces more classification subtype information than WHO-HAEM5.


Subject(s)
High-Throughput Nucleotide Sequencing , Mutation , Myelodysplastic Syndromes , Myeloproliferative Disorders , Humans , High-Throughput Nucleotide Sequencing/methods , Female , Male , Middle Aged , Aged , Myeloproliferative Disorders/genetics , Myeloproliferative Disorders/diagnosis , Myeloproliferative Disorders/classification , Adult , Myelodysplastic Syndromes/genetics , Myelodysplastic Syndromes/diagnosis , Myelodysplastic Syndromes/classification , Aged, 80 and over , Janus Kinase 2/genetics , World Health Organization , Leukemia, Myeloid, Acute/genetics , Leukemia, Myeloid, Acute/classification , Leukemia, Myeloid, Acute/diagnosis , Receptors, Thrombopoietin/genetics , Calreticulin/genetics , Young Adult
2.
BMC Cardiovasc Disord ; 23(1): 104, 2023 02 23.
Article in English | MEDLINE | ID: mdl-36823527

ABSTRACT

OBJECTIVE: Recent studies have found that polycyclic aromatic hydrocarbons (PAHs) exposure may increase the risk of cardiovascular disease. The present study aimed to explore the association between PAHs exposure and severe abdominal aortic calcification (AAC) in adults. METHODS: Data were collected from the 2013-2014 National Health and Nutrition Examination Survey. PAHs exposure was analyzed from urinary mono hydroxylated metabolites of PAHs. Logistic regression models and subgroup analysis were performed to explore the association of PAHs exposure with severe AAC prevalence. RESULTS: A total of 1,005 eligible individuals were recruited into the study. After adjusting for confounding factors, those with the highest quartiles of 1-hydroxynaphthalene (1-NAP: OR 2.19, 95% CI 1.03-4.68, Pfor trend < 0.001), 2-hydroxynaphthalene (2-NAP: OR 2.22, 95% CI 1.04-4.64, Pfor trend < 0.001) and 1-hydroxypyrene (1-PYR: OR 2.15, 95% CI 1.06-4.33, Pfor trend < 0.001) were associated with an increased prevalence of severe AAC in the adults compared to those who in the lowest quartile. CONCLUSION: This study found that urinary 1-NAP, 2-NAP and 1-PYR were positively associated with severe AAC prevalence in adults.


Subject(s)
Polycyclic Aromatic Hydrocarbons , Humans , Adult , Polycyclic Aromatic Hydrocarbons/adverse effects , Polycyclic Aromatic Hydrocarbons/metabolism , Nutrition Surveys , Naphthalenesulfonates , Biomarkers
3.
Mol Med ; 28(1): 95, 2022 08 12.
Article in English | MEDLINE | ID: mdl-35962319

ABSTRACT

BACKGROUND: Albuminuria is a hallmark of diabetic kidney disease (DKD) that promotes its progression, leading to renal fibrosis. Renal macrophage function is complex and influenced by macrophage metabolic status. However, the metabolic state of diabetic renal macrophages and the impact of albuminuria on the macrophage metabolic state are poorly understood. METHODS: Extracellular vesicles (EVs) from tubular epithelial cells (HK-2) were evaluated using transmission electron microscopy, nanoparticle tracking analysis and western blotting. Glycolytic enzyme expression in macrophages co-cultured with HSA-treated HK-2 cell-derived EVs was detected using RT-qPCR and western blotting. The potential role of EV-associated HIF-1α in the mediation of glycolysis was explored in HIF-1α siRNA pre-transfected macrophages co-cultured with HSA-treated HK-2 cell-derived EVs, and the extent of HIF-1α hydroxylation was measured using western blotting. Additionally, we injected db/db mice with EVs via the caudal vein twice a week for 4 weeks. Renal macrophages were isolated using CD11b microbeads, and immunohistofluorescence was applied to confirm the levels of glycolytic enzymes and HIF-1α in these macrophages. RESULTS: Glycolysis was activated in diabetic renal macrophages after co-culture with HSA-treated HK-2 cells. Moreover, HSA-treated HK-2 cell-derived EVs promoted macrophage glycolysis both in vivo and in vitro. Inhibition of glycolysis activation in macrophages using the glycolysis inhibitor 2-DG decreased the expression of both inflammatory and fibrotic genes. Mechanistically, EVs from HSA-stimulated HK-2 cells were found to accelerate macrophage glycolysis by stabilizing HIF-1α. We also found that several miRNAs and lncRNAs, which have been reported to stabilize HIF-1α expression, were increased in HSA-treated HK-2 cell-derived EVs. CONCLUSION: Our study suggested that albuminuria induced renal macrophage glycolysis through tubular epithelial cell-derived EVs by stabilizing HIF-1α, indicating that regulation of macrophage glycolysis may offer a new treatment strategy for DKD patients, especially those with macroalbuminuria.


Subject(s)
Diabetes Mellitus , Diabetic Nephropathies , Extracellular Vesicles , Albuminuria/metabolism , Animals , Diabetes Mellitus/metabolism , Epithelial Cells/metabolism , Extracellular Vesicles/metabolism , Fibrosis , Glycolysis , Hypoxia-Inducible Factor 1, alpha Subunit/metabolism , Macrophages/metabolism , Mice
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