ObjectiveBased on the phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， the effects of Huanglian Zhimutang on glucose and lipid metabolism disorders and hepatic insulin resistance （IR） with type 2 diabetes mellitus （T2DM） were investigated. MethodsGoto-Kakizaki （GK） rats were fed a high-fat diet to induce a T2DM rat model and then randomly divided into four groups： normal control group， model control group， metformin group （0.10 g·kg^-1）， and Huanglian Zhimutang group （3.60 g·kg^-1）， with eight rats in each group. Drug intervention was administered continuously for 8 weeks. Serum and liver tissues were collected from each group. Fasting insulin （FINS） levels were measured using enzyme-linked immunosorbent assay （ELISA）， and the homeostasis model assessment of insulin resistance （HOMA-IR） index was calculated. Total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， and high-density lipoprotein cholesterol （HDL-C） levels were measured using an automatic biochemical analyzer. Liver tissue pathology was observed via hematoxylin-eosin （HE） staining. Serum interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） levels were detected using ELISA. Network pharmacology and transcriptomics sequencing were combined to analyze differentially expressed genes （DEGs） in liver tissue from the normal control group， model control group， and Huanglian Zhimutang group. Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed to identify pathways affected by Huanglian Zhimutang intervention in T2DM. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to assess the mRNA expression of insulin receptor substrate-1 （IRS-1）， PI3K， Akt， and peroxisome proliferator-activated receptor gamma （PPARγ） in liver tissue， while Western blot was used to evaluate corresponding protein expression levels. ResultsAfter 8 weeks of Huanglian Zhimutang intervention， typical symptoms of T2DM rats such as polydipsia， polyphagia， and polyuria were significantly alleviated， along with reductions in fasting blood glucose levels and insulin resistance（P<0.01）. Histopathological results revealed that Huanglian Zhimutang effectively improved hepatic steatosis and inflammatory edema and reduced lipid vacuole formation. Biochemical tests demonstrated that Huanglian Zhimutang significantly reduced serum levels of TC， TG， and LDL-C（P<0.01）. ELISA results showed that Huanglian Zhimutang effectively decreased serum concentrations of IL-6 and TNF-α（P<0.05，P<0.01）. Combined network pharmacology predictions with KEGG pathway analysis of transcriptomics showed that DEGs between the Huanglian Zhimutang and model control groups were significantly enriched in the PI3K/Akt signaling pathway. Real-time PCR and Western blot results confirmed that Huanglian Zhimutang upregulated the expression of PI3K/Akt signaling pathway-related mRNAs and proteins in liver tissue（P<0.05，P<0.01）， thereby reducing inflammation， alleviating hepatic lipid accumulation， and enhancing insulin sensitivity. ConclusionHuanglian Zhimutang effectively ameliorates glucose and lipid metabolism disorders in T2DM rats. Its mechanism may be related to the regulation of the PI3K/Akt pathway， which reduces inflammation and hepatic lipid deposition and relieves hepatic insulin resistance.

ObjectiveBased on the phosphoinositide 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway， the effects of Huanglian Zhimutang on glucose and lipid metabolism disorders and hepatic insulin resistance （IR） with type 2 diabetes mellitus （T2DM） were investigated. MethodsGoto-Kakizaki （GK） rats were fed a high-fat diet to induce a T2DM rat model and then randomly divided into four groups： normal control group， model control group， metformin group （0.10 g·kg^-1）， and Huanglian Zhimutang group （3.60 g·kg^-1）， with eight rats in each group. Drug intervention was administered continuously for 8 weeks. Serum and liver tissues were collected from each group. Fasting insulin （FINS） levels were measured using enzyme-linked immunosorbent assay （ELISA）， and the homeostasis model assessment of insulin resistance （HOMA-IR） index was calculated. Total cholesterol （TC）， triglyceride （TG）， low-density lipoprotein cholesterol （LDL-C）， and high-density lipoprotein cholesterol （HDL-C） levels were measured using an automatic biochemical analyzer. Liver tissue pathology was observed via hematoxylin-eosin （HE） staining. Serum interleukin-6 （IL-6） and tumor necrosis factor-α （TNF-α） levels were detected using ELISA. Network pharmacology and transcriptomics sequencing were combined to analyze differentially expressed genes （DEGs） in liver tissue from the normal control group， model control group， and Huanglian Zhimutang group. Kyoto Encyclopedia of Genes and Genomes （KEGG） pathway enrichment analysis was performed to identify pathways affected by Huanglian Zhimutang intervention in T2DM. Real-time quantitative polymerase chain reaction （Real-time PCR） was used to assess the mRNA expression of insulin receptor substrate-1 （IRS-1）， PI3K， Akt， and peroxisome proliferator-activated receptor gamma （PPARγ） in liver tissue， while Western blot was used to evaluate corresponding protein expression levels. ResultsAfter 8 weeks of Huanglian Zhimutang intervention， typical symptoms of T2DM rats such as polydipsia， polyphagia， and polyuria were significantly alleviated， along with reductions in fasting blood glucose levels and insulin resistance（P<0.01）. Histopathological results revealed that Huanglian Zhimutang effectively improved hepatic steatosis and inflammatory edema and reduced lipid vacuole formation. Biochemical tests demonstrated that Huanglian Zhimutang significantly reduced serum levels of TC， TG， and LDL-C（P<0.01）. ELISA results showed that Huanglian Zhimutang effectively decreased serum concentrations of IL-6 and TNF-α（P<0.05，P<0.01）. Combined network pharmacology predictions with KEGG pathway analysis of transcriptomics showed that DEGs between the Huanglian Zhimutang and model control groups were significantly enriched in the PI3K/Akt signaling pathway. Real-time PCR and Western blot results confirmed that Huanglian Zhimutang upregulated the expression of PI3K/Akt signaling pathway-related mRNAs and proteins in liver tissue（P<0.05，P<0.01）， thereby reducing inflammation， alleviating hepatic lipid accumulation， and enhancing insulin sensitivity. ConclusionHuanglian Zhimutang effectively ameliorates glucose and lipid metabolism disorders in T2DM rats. Its mechanism may be related to the regulation of the PI3K/Akt pathway， which reduces inflammation and hepatic lipid deposition and relieves hepatic insulin resistance.

The study investigated the specific mechanism by which oxocrebanine, the anti-hepatic cancer active ingredient in Stephania hainanensis, inhibits the proliferation of hepatic cancer cells. Firstly, methyl thiazolyl tetrazolium(MTT) assay, 5-bromodeoxyuridine(BrdU) labeling, and colony formation assay were employed to investigate whether oxocrebanine inhibited the proliferation of HepG2 and Hep3B2.1-7 cells. Propidium iodide(PI) staining was used to observe the oxocrebanine-induced apoptosis of HepG2 and Hep3B2.1-7 cells. Western blot was employed to verify whether apoptotic effector proteins, such as cleaved cysteinyl aspartate-specific protease 3(c-caspase-3), poly(ADP-ribose) polymerase 1(PARP1), B-cell lymphoma-2(Bcl-2), Bcl-2-associated X protein(Bax), Bcl-2 homologous killer(Bak), and myeloid cell leukemia-1(Mcl-1) were involved in apoptosis. Secondly, HepG2 cells were simultaneously treated with oxocrebanine and the autophagy inhibitor 3-methyladenine(3-MA), and the changes in the autophagy marker LC3 and autophagy-related proteins [eukaryotic translation initiation factor 4E-binding protein 1(4EBP1), phosphorylated 4EBP1(p-4EBP1), 70-kDa ribosomal protein S6 kinase(P70S6K), and phosphorylated P70S6K(p-P70S6K)] were determined. The results of MTT assay, BrdU labeling, and colony formation assay showed that oxocrebanine inhibited the proliferation of HepG2 and Hep3B2.1-7 cells in a dose-dependent manner. The results of flow cytometry suggested that the apoptosis rate of HepG2 and Hep3B2.1-7 cells increased after treatment with oxocrebanine. Western blot results showed that the protein levels of c-caspase-3, Bax, and Bak were up-regulated and those of PARP1, Bcl-2, and Mcl-1 were down-regulated in the HepG2 cells treated with oxocrebanine. The results indicated that oxocrebanine induced apoptosis, thereby inhibiting the proliferation of hepatic cancer cells. The inhibition of HepG2 cell proliferation by oxocrebanine may be related to the induction of protective autophagy in hepatocellular carcinoma cells. Oxocrebanine still promoted the conversion of LC3-Ⅰ to LC3-Ⅱ, reduced the phosphorylation levels of 4EBP1 and P70S6K, which can be reversed by the autophagy inhibitor 3-MA. It is prompted that oxocrebanine can inhibit the proliferation of hepatic cancer cells by inducing autophagy. In conclusion, oxocrebanine inhibits the proliferation of hepatic cancer cells by inducing apoptosis and autophagy.
Humans ; Apoptosis/drug effects* ; Autophagy/drug effects* ; Cell Proliferation/drug effects* ; Hep G2 Cells ; Liver Neoplasms/genetics* ; Carcinoma, Hepatocellular/genetics* ; Caspase 3/genetics*

Protrusive facial deformities, characterized by the forward displacement of the teeth and/or jaws beyond the normal range, affect a considerable portion of the population. The manifestations and morphological mechanisms of protrusive facial deformities are complex and diverse, requiring orthodontists to possess a high level of theoretical knowledge and practical experience in the relevant orthodontic field. To further optimize the correction of protrusive facial deformities, this consensus proposes that the morphological mechanisms and diagnosis of protrusive facial deformities should be analyzed and judged from multiple dimensions and factors to accurately formulate treatment plans. It emphasizes the use of orthodontic strategies, including jaw growth modification, tooth extraction or non-extraction for anterior teeth retraction, and maxillofacial vertical control. These strategies aim to reduce anterior teeth and lip protrusion, increase chin prominence, harmonize nasolabial and chin-lip relationships, and improve the facial profile of patients with protrusive facial deformities. For severe skeletal protrusive facial deformities, orthodontic-orthognathic combined treatment may be suggested. This consensus summarizes the theoretical knowledge and clinical experience of numerous renowned oral experts nationwide, offering reference strategies for the correction of protrusive facial deformities.
Humans ; Orthodontics, Corrective/methods* ; Consensus ; Malocclusion/therapy* ; Patient Care Planning ; Cephalometry

Acute respiratory distress syndrome (ARDS) is a common respiratory emergency, but current clinical treatment remains at the level of symptomatic support and there is a lack of effective targeted treatment measures. Our previous study confirmed that inhalation of hydrogen gas can reduce the acute lung injury of ARDS, but the application of hydrogen has flammable and explosive safety concerns. Drinking hydrogen-rich liquid or inhaling hydrogen gas has been shown to play an important role in scavenging reactive oxygen species and maintaining mitochondrial quality control balance, thus improving ARDS in patients and animal models. Coral calcium hydrogenation (CCH) is a new solid molecular hydrogen carrier prepared from coral calcium (CC). Whether and how CCH affects acute lung injury in ARDS remains unstudied. In this study, we observed the therapeutic effect of CCH on lipopolysaccharide (LPS) induced acute lung injury in ARDS mice. The survival rate of mice treated with CCH and hydrogen inhalation was found to be comparable, demonstrating a significant improvement compared to the untreated ARDS model group. CCH treatment significantly reduced pulmonary hemorrhage and edema, and improved pulmonary function and local microcirculation in ARDS mice. CCH promoted mitochondrial peripheral division in the early course of ARDS by activating mitochondrial thioredoxin 2 (Trx2), improved lung mitochondrial dysfunction induced by LPS, and reduced oxidative stress damage. The results indicate that CCH is a highly efficient hydrogen-rich agent that can attenuate acute lung injury of ARDS by improving the mitochondrial function through Trx2 activation.

Objective To identify differentially expressed genes(DEGs)during the early stage of differentiation of human embryonic stem cells(hESCs)into insulin-producing cells(IPCs)and construct the microRNA(miRNA)-mRNA regulatory network.Methods The datasets GSE42094 from Gene Expression Omnibus(GEO)were employed in this study and included hESCs,Diff1,Diff2,Diff3,Diff4 and IPCs groups.DEGs in the Diff1 group were selected and gene ontology(GO)and Keyoto Encyclopedia of Genes and Genomes(KEGG)pathway were deciphered.The miRNAs associated with DEGs were predicted and the miRNA-mRNA regulatory network was visualized.Then the predicted miRNA was validated by paper result.Results GO result demonstrated that the significant term of biological process were"cell migration involved in gastrulation"and"SMAD protein signal transduction".The KEGG pathway analysis indicated that"transformating growth factor(TGF)-beta signaling pathway"and"Signaling pathways regulating pluripotency of stem cells"played essential roles for 28 DEGs in the Diff1 group.To predict miRNA associated with DEGs,we found that miR-335-5p may regulate expressions of CDA,IFITM1,FREM1,FGF17 and ROR2 genes.There were 26 miRNAs which were validated by result of paper.Conclusion The miRNA-mRNA regulatory network plays an essential role during the early stage of the induction of IPCs.

Objective To explore the impact of contrast agent concentration on the excimer laser's effect on plaque ablation.Methods Using a laser catheter with a diameter of 0.9 mm,we conducted plaque model ablation experiments employing a 308-nanometer xenon chloride excimer laser.During the excimer laser ablation process,five groups were formed based on the injected contrast agent concentrations:a saline group,25%concentration group,50%concentration group,75%concentration group,and 100%concentration group.Optical coherence tomography was utilized to assess the changes in plaque lumen area after excimer laser ablation,evaluating the impact of contrast agent concentration on the excimer laser's ablation efficacy.Simultaneously,a water manometer was used to measure the shockwave pressure generated by the excimer laser in liquids with different contrast agent concentrations,aiming to explore the correlation between the shockwave pressure of the excimer laser and its ablative effect.Results The ablation areas in the 75%concentration group and the 100%concentration group were similar(P＞0.05),both exceeding those in the 50%concentration contrast agent group,25%concentration group,and saline group(all P＜0.001).Specifically,the ablation area in the 50%concentration group was significantly larger than that in the 25%concentration group and saline group(both P＜0.001),while the 25%concentration group was larger than the saline group(P＜0.001).The influence of contrast agent concentration on the shockwave pressure of the excimer laser exhibited a similar trend.Additionally,there was a significant positive correlation between the shockwave pressure generated by the excimer laser and its ablation area(r=0.9987,P＜0.001).Conclusions The intensity of excimer laser ablation on plaque tissue can be modulated by altering the contrast agent concentration.These findings offer guidance for the application of excimer laser in conjunction with contrast agent injection techniques in the treatment of coronary artery disease.

AIM To establish a UPLC-MS/MS method for the simultaneous content determination of liquiritin apioside,alibiflorin,swertiamarin,methyl gallate,benzoylpaeoniflorin,sweroside,6′-O-β-D-glucosylgentiopicroside,isoliquiritigenin,loganic acid,liquiritigenin,gallic acid,paeoniflorin,oxypaeoniflorin,gentiopicroside,glycyrrhizic acid,isoliquiritoside and liquiritin in Yangxue Ruanjian Capsules.METHODS The analysis was performed on a 40℃thermostatic Waters BEH C18column(2.1 mm×100 mm,1.7 μm),with the mobile phase comprising of 2 mmol/L ammonium acetate(containing 0.1%formic acid)-acetonitrile flowing at 0.3 mL/min in a gradient elution manner,and electron spray ionization source was adopted in negative ion scanning with multiple reaction monitoring mode.RESULTS Seventeen constituents showed good linear relationships within their own ranges(r>0.999 6),whose average recoveries were 91.33%-104.03%with the RSDs of 1.58%-3.50%.CONCLUSION This rapid,accurate and stable method can be used for the quality control of Yangxue Ruanjian Capsules.

The aim of our research was to obtain Listeria bacteriophages from food and related environments,and conduc-ted the analysis of the electron microscopic morphology,host range specificity,and biological characteristics of the purified phages.The double-layer agar method and the spot test were employed for the isolation and identification of a virulent Listeria phage named LMLPA5,with the isolated strain Listeria in-nocua Lin08 as the host.Phage morphology was observed by transmission electron microscope.The biological characteris-tics of the phage were assessed by determining their host range,optimal multiplicity of infection(MOI),one-step growth curve,and physicochemical stability.Additionally,the preservation efficacy of the phage at 4 ℃,-20 ℃,and-80 ℃ was explored.The phage LMLPA5 belongs to the family Myoviridae based on morphology,exhibiting clear and transparent plaques without halo surrounded.Strains of sever-al Listeria species and different serotypes strains of Listeria monocytogenes were susceptible to lysis by LMLPA5,indica-ting its broad-spectrum activity against Listeria monocytogenes.Optimal MOIs and single-step growth curve analyses revealed optimal MOIs of 0.1 and latent period of 10 minutes for LMLPA5,with average burst size at 95.2 PFU/cell.LMLPA5 was sensitive to high temperatures,and completely inactivated after exposure to 70 ℃ for 1 h,while the phage remained stable for over 32 hours ranging from 4 ℃ to 40 ℃.Within the pH range of 4 to 10,phage titer remained stable and completely inactiva-ted until 60 minutes of ultraviolet exposure.LMLPA5 displayed insensitivity to chloroform,confirming its non-enveloped phage morphology.The phages remained stable for over 8 months when store at 4 ℃ and-80 ℃.The biological characteristics and lysis capacity of phage LMLPA5 were elucidated in this study,which provide the basis for further application.

Near infrared spectroscopy(NIRS)technology combined with chemometrics algorithms has been widely used in quantitative and qualitative analysis of food and medicine.However,traditional chemometrics methods,especially linear classification methods,often yield unsatisfactory results when addressing multi-class classification problems.Convolutional neural network(CNN)is adept at extracting deep-level features from data and suitable for handling non-linear relationships.The modeling performance of CNN depends on the size and diversity of sample,while the collection and preprocessing of NIRS sample data is often time-consuming and labor-intensive.This study proposed a NIRS qualitative analysis method based on data augmentation strategies and CNN.The data augmentation strategy included two steps.Firstly,applying Bootstrap resampling and generative adversarial network(GAN)methods to augment three NIRS datasets(Medicine,coffee and grape).Secondly,combining the original samples(Y)with the Bootstrap augmented samples(B)and GAN augmented samples(G)to obtain three augmented datasets(Y-B,Y-G and Y-B-G).Based on this,a CNN model structure suitable for these datasets was designed,consisting of 2 one-dimensional convolutional layers,1 max-pooling layer,and 1 fully connected layer.The results showed that compared to the optimal models of partial least squares discriminant analysis(PLS-DA),support vector machine(SVM),and back propagation neural network(BP),the CNN model based on Y-B dataset achieved average accuracy improvements of 3.998%,9.364%,and 4.689%for medicine(Binary classification);the CNN model based on the Y-B-G dataset achieved average accuracy improvements of 6.001%,2.004%,and 7.523%for coffee(7-class classification);and the CNN model based on the Y-B dataset achieved average accuracy improvements of 33.408%,51.994%,and 34.378%for grapes(20-class classification).It was evident that the models established based on data augmentation strategies and CNN demonstrated better classification accuracy and generalization performance with different datasets and classification categories.