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1.
Forensic Sci Int ; 357: 111974, 2024 Apr.
Article in English | MEDLINE | ID: mdl-38447346

ABSTRACT

Afghanistan and Myanmar are two overwhelming opium production places. In this study, rapid and efficient methods for distinguishing opium from Afghanistan and Myanmar were developed using infrared spectroscopy (IR) coupled with multiple machine learning (ML) methods for the first time. A total of 146 authentic opium samples were analyzed by mid-IR (MIR) and near-IR (NIR), within them 116 were used for model training and 30 were used for model validation. Six ML methods, including partial least squares discriminant analysis (PLS-DA), orthogonal PLS-DA (OPLS-DA), k-nearest neighbour (KNN), support vector machine (SVM), random forest (RF), and artificial neural networks (ANNs) were constructed and compared to get the best classification effect. For MIR data, the average of precision, recall and f1-score for all classification models were 1.0. For NIR data, the average of precision, recall and f1-score for different classification models ranged from 0.90 to 0.94. The comparison results of six ML models for MIR and NIR data showed that MIR was more suitable for opium geography classification. Compared with traditional chromatography and mass spectrometry profiling methods, the advantages of MIR are simple, rapid, cost-effective, and environmentally friendly. The developed IR chemical profiling methodology may find wide application in classification of opium from Afghanistan and Myanmar, and also to differentiate them from opium originating from other opium producing countries. This study presented new insights into the application of IR and ML to rapid drug profiling analysis.


Subject(s)
Opium , Spectroscopy, Near-Infrared , Spectroscopy, Near-Infrared/methods , Afghanistan , Myanmar , Spectrophotometry, Infrared , Discriminant Analysis , Least-Squares Analysis , Support Vector Machine
2.
Mol Med ; 28(1): 9, 2022 01 28.
Article in English | MEDLINE | ID: mdl-35090386

ABSTRACT

BACKGROUND: Sepsis is a troublesome syndrome that can cause intestinal injury and even high mortality rates. Omega-3 fatty acids (FAs) are known to protect against intestinal damage. Accordingly, the current study set out to explore if omega-3 FAs could affect sepsis-induced intestinal injury with the involvement of the microRNA (miR)-1-3p/Notch3-Smad axis. METHODS: First, cecal ligation and perforation (CLP) was performed to establish septic mouse models in C57BL/6J mice, and mouse intestinal epithelial MODE-K cells were induced by lipopolysaccharide (LPS) to establish sepsis cell models. The CLP-induced septic mice or LPS-exposed cells were subjected to treatment with Omega-3 FAs and activin (Smad signaling activator), miR-1-3p inhibitor and over-expressed/short hairpin RNA (oe-/sh)-Notch3 to explore their roles in inflammation, intestinal oxidative stress and cell apoptosis. A dual-luciferase reporter gene assay was further performed to verify the regulatory relationship between miR-1-3p and Notch3. RESULTS: Omega-3 FAs inhibited CLP-induced intestinal injury and ameliorated LPS-induced intestinal epithelial cell injury by down-regulating miR-1-3p, as evidenced by decreased levels of tumor necrosis factor-α, interleukin-1ß (IL-1ß) and IL-6, in addition to diminished levels of reactive oxygen species, malondialdehyde levels and superoxide dismutase activity. Furthermore, miR-1-3p could down-regulate Notch3, which inactivated the Smad pathway. CONCLUSION: Collectively, our findings indicated that omega-3 FAs elevate the expression of Notch3 by down-regulating miR-1-3p, and then blocking the Smad pathway to alleviate intestinal epithelial inflammation and oxidative stress injury caused by sepsis.


Subject(s)
Fatty Acids, Omega-3/metabolism , Gene Expression Regulation , Intestinal Diseases/etiology , Intestinal Diseases/metabolism , MicroRNAs/genetics , Receptor, Notch3/genetics , Sepsis/complications , Animals , Biomarkers , Disease Management , Disease Models, Animal , Disease Susceptibility , Gene Expression Profiling , Intestinal Diseases/diagnosis , Intestinal Diseases/therapy , Intestinal Mucosa/metabolism , Intestinal Mucosa/pathology , Mice , Models, Biological , Oxidative Stress , Receptor, Notch3/metabolism , Sepsis/etiology , Signal Transduction , Smad Proteins
3.
Arch Pharm Res ; 42(10): 902-908, 2019 Oct.
Article in English | MEDLINE | ID: mdl-31388826

ABSTRACT

Lycium barbarum polysaccharide (LBP), an active component from Goji berry which is a traditional Chinese medicine, has anti-inflammatory and antioxidant features. The aim of our study was to investigate whether LBP has any role in hyperoxia-induced acute lung injury (ALI). Using a murine model of hyperoxia-induced ALI, we investigate the effect of LBP on pulmonary pathological changes as well as Sirtuin 1 (SIRT1) and the nucleotide binding domain and leucine-rich repeat pyrin domain containing 3 (NLRP3) inflammasome. Exposure to 100% oxygen for 72 h in male C57BL/6 mice resulted in increased protein levels of tumor necrosis factor-α and interleukin-1ß in lung tissues, and aggravated lung histological alterations. These hyperoxia-induced changes and mortality were improved by LBP. LBP markedly suppressed the activation of NLRP3 inflammasome both in vivo and in vitro. Moreover, LBP upregulated SIRT1 expression compared with vehicle-treated group. Importantly, knockdown of SIRT1 reversed the inhibitory effect of LBP on NLRP3 inflammasome activation in vitro. LBP meliorated hyperoxia-induced ALI in mice by SIRT1-dependent inhibition of NLRP3 inflammasome activation.


Subject(s)
Acute Lung Injury/drug therapy , Drugs, Chinese Herbal/pharmacology , Hyperoxia/drug therapy , Inflammasomes/drug effects , NLR Family, Pyrin Domain-Containing 3 Protein/antagonists & inhibitors , Acute Lung Injury/metabolism , Acute Lung Injury/pathology , Animals , Hyperoxia/metabolism , Hyperoxia/pathology , Inflammasomes/metabolism , Male , Mice , Mice, Inbred C57BL , NLR Family, Pyrin Domain-Containing 3 Protein/metabolism
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