The general models for intermediates quality analysis in the production process of Yaobitong capsule were established by near infrared spectroscopy (NIRS) combined with chemometrics, realizing the rapid determination of notoginsenoside R1, ginsenoside Rg1, ginsenoside Re, ginsenoside Rb1, ginsenoside Rd and moisture. The spray-dried fine powder and total mixed granule were selected as research objects. The contents of five saponins were determined by high performance liquid chromatography and the moisture content was determined by drying method. The measured contents were used as reference values. Meanwhile, NIR spectra were collected. After removing abnormal samples by Monte Carlo cross validation (MCCV), Monte Carlo uninformative variables elimination (MC-UVE) and competitive adaptive reweighted sampling (CARS) were used to select feature variables respectively. Based on the feature variables, quantitative models were established by partial least squares regression (PLSR), extreme learning machine (ELM) and ant lion optimization least squares support vector machine (ALO-LSSVM). The results showed that CARS-ALO-LSSVM model had the optimum effect. The correlation coefficients of the six index components were greater than 0.93, and the relative standard errors were controlled within 6%. ALO-LSSVM was more suitable for a large number of samples with rich information, and the prediction effect and stability of the model were significantly improved. The general models with good predicting effect can be used for the rapid quality determination of Yaobitong capsule intermediates.

Objective To predict the lymph node metastasis status of patients with invasive pulmonary adenocarcinoma by constructing machine learning models based on primary tumor radiomics, peritumoral radiomics, and habitat radiomics, and to evaluate the predictive performance and generalization ability of different imaging features. Methods A retrospective analysis was performed on the clinical data of 1 263 patients with invasive pulmonary adenocarcinoma who underwent surgery at the Department of Thoracic Surgery, Jiangsu Province Hospital, from 2016 to 2019. Habitat regions were delineated by applying K-means clustering (average cluster number of 2) to the grayscale values of CT images. The peritumoral region was defined as a uniformly expanded area of 3 mm around the primary tumor. The primary tumor region was automatically segmented using V-net combined with manual correction and annotation. Subsequently, radiomics features were extracted based on these regions, and stacked machine learning models were constructed. Model performance was evaluated on the training, testing, and internal validation sets using the area under the receiver operating characteristic curve (AUC), F1 score, recall, and precision. Results After excluding patients who did not meet the screening criteria, a total of 651 patients were included. The training set consisted of 468 patients (181 males, 287 females) with an average age of (58.39±11.23) years, ranging from 29 to 78 years, the testing set included 140 patients (56 males, 84 females) with an average age of (58.81±10.70) years, ranging from 34 to 82 years, and the internal validation set comprised 43 patients (14 males, 29 females) with an average age of (60.16±10.68) years, ranging from 29 to 78 years. Although the habitat radiomics model did not show the optimal performance in the training set, it exhibited superior performance in the internal validation set, with an AUC of 0.952 [95%CI (0.87, 1.00)], an F1 score of 84.62%, and a precision-recall AUC of 0.892, outperforming the models based on the primary tumor and peritumoral regions. Conclusion The model constructed based on habitat radiomics demonstrated superior performance in the internal validation set, suggesting its potential for better generalization ability and clinical application in predicting lymph node metastasis status in pulmonary adenocarcinoma.

Depression is a prevalent mental illness worldwide, its multifaceted pathogenesis is still in the exploratory stage. MicroRNA (miRNA), as a crucial epigenetic regulator, plays an important role in depression. miR-124 is one of the most abundant miRNAs in the central nervous system including neurons and microglia, and involved in various biological events like neuron development and differentiation, synaptic and axonal growth, neural plasticity, inflammation and autophagy. Recent studies have reported abnormal expression of miR-124 in both depression patients and animal models. Most of the studies showed that miR-124 is upregulated in the hippocampus or prefrontal cortex in stress-induced rodent depression animal models such as CUMS, CSDS, CORT, CRS and LH but some evidence for divergence. Upregulation of miR-124 expression may be involved in depression-like behavior via CREB/BDNF/TrkB pathway, GR pathway, SIRT1 pathway, apoptosis and autophagy pathways by directly targeting these genes including Creb, Bdnf, Sirt1, Nr3c1, Ezh2 and Stat3. The downregulation of miR-124 expression in neurons is mainly involved in the neurogenesis and neuroplasticity impairments in depression by targeting the Notch signaling pathway and DDIT4/TSC1/2/mTORC1 pathway. The downregulation of miR-124 expression also was found in the activated microglia in the stress-induced models, and resulted in neuroinflammation. In summary, the abnormal expression of miR-124 in the brain of depression-related models and its related mechanisms are complex and even contradictory, and still need further research. This review provides a summary of the research progress of miR-124 in depression.

Objective To observe the efficacy and safety of Morinda officinalis oligosaccharides in the continuation treatment of mild and moderate depression.Methods An open,single-arm,multi-center design was adopted in our study.Adult patients with mild and moderate depression who had received acute treatment of Morinda officinalis oligosaccharides were enrolled and continue to receive Morinda officinalis oligosaccharides capsules for 24 weeks,the dose remained unchanged during continuation treatment.The remission rate,recurrence rate,recurrence time,and the change from baseline to endpoint of Hamilton Depression Scale(HAMD),Hamilton Anxiety Scale(HAMA),Clinical Global Impression-Severity(CGI-S)and Arizona Sexual Experience Scale(ASEX)were evaluated.The incidence of treatment-related adverse events was reported.Results The scores of HAMD-17 at baseline and after treatment were 6.60±1.87 and 5.85±4.18,scores of HAMA were 6.36±3.02 and 4.93±3.09,scores of CGI-S were 1.49±0.56 and 1.29±0.81,scores of ASEX were 15.92±4.72 and 15.57±5.26,with significant difference(P＜0.05).After continuation treatment,the remission rate was 54.59％(202 cases/370 cases),and the recurrence rate was 6.49％(24 cases/370 cases),the recurrence time was(64.67±42.47)days.The incidence of treatment-related adverse events was 15.35％(64 cases/417 cases).Conclusion Morinda officinalis oligosaccharides capsules can be effectively used for the continuation treatment of mild and moderate depression,and are well tolerated and safe.

Objective Recombinase-aided polymerase chain reaction(RAP)is a sensitive,single-tube,two-stage nucleic acid amplification method.This study aimed to develop an assay that can be used for the early diagnosis of three types of bacteremia caused by Staphylococcus aureus(SA),Pseudomonas aeruginosa(PA),and Acinetobacter baumannii(AB)in the bloodstream based on recombinant human mannan-binding lectin protein(M1 protein)-conjugated magnetic bead(M1 bead)enrichment of pathogens combined with RAP. Methods Recombinant plasmids were used to evaluate the assay sensitivity.Common blood influenza bacteria were used for the specific detection.Simulated and clinical plasma samples were enriched with M1 beads and then subjected to multiple recombinase-aided PCR(M-RAP)and quantitative PCR(qPCR)assays.Kappa analysis was used to evaluate the consistency between the two assays. Results The M-RAP method had sensitivity rates of 1,10,and 1 copies/μL for the detection of SA,PA,and AB plasmids,respectively,without cross-reaction to other bacterial species.The M-RAP assay obtained results for<10 CFU/mL pathogens in the blood within 4 h,with higher sensitivity than qPCR.M-RAP and qPCR for SA,PA,and AB yielded Kappa values of 0.839,0.815,and 0.856,respectively(P<0.05). Conclusion An M-RAP assay for SA,PA,and AB in blood samples utilizing M1 bead enrichment has been developed and can be potentially used for the early detection of bacteremia.

AIM To identify the chemical components of Longmu Qingxin Mixture by UPLC-Q-TOF-MS and study its material basis for the treatment of attention deficit hyperactivity disorder.METHODS The sample was detected by mass spectrometry in positive and negative ion mode on a Waters CORTECS? UPLC? T3 chromatographic column.The data were analyzed with Peakview 1.2 software and matched with the Natural Products HR-MS/MS Spectral Library 1.0 database,and the components were identified in combination with literature reports.The material basis of Longmu Qingxin Mixture for the treatment of attention deficit hyperactivity disorder was analysed according to the identified components.RESULTS Forty chemical components were identified,including 11 flavonoids,6 monoterpene glycosides,4 triterpene saponins,3 phenolic acids,6 alkaloids etc.,which mainly derived from Radix Astragali,Radix Paeoniae Alba,Radix Scutellariae,licorice root,Ramulus Uncariae cum,etc.,baicalein,formononetin,astragaloside Ⅳ and rhynchophylline may be the material basis for the therapeutic effect of Longmu Qingxin Mixture.CONCLUSION UPLC-Q-TOF-MS can quickly identify the chemical components of Longmu Qingxin Mixture.Flavonoids,triterpene saponins and alkaloids may be the material basis for Longmu Qingxin Mixture for the treatment of attention deficit hyperactivity disorder,which can provide the basis for its material basis research,quality standard establishment and pharmacological study of the dismantled formula.

From the perspective of state differentiation and treatment， it is believed that the pathogenesis of acute respiratory distress syndrome （ARDS） is that evil poisons injured the lungs， and the lung qi suddenly collapsed， then blocked and exhausted， and the qi failure to control blood and liquid， then the fluids overflow outside the vessels， and damp phlegm， stasis， and toxins became knotted up in the body， which ultimately leads to qi dysfunction， and a series of symptom arise， so qi impairment is the principal mechanism of ARDS. A combination of Chinese and Western medicine was proposed to treat ARDS by combining tangible qi and intangible qi， using Chinese herbal medicine to boost qi and relieve collapse， percolate and drain dampness with bland medicinals， resolve toxins and dissolve stasis， and regulate qi， and combining with Western medicine to assist qi circulation to improve qi's consolidation， propulsion， and transformation， so as to make the evil qi go away， the positive qi restored， the viscera qi circulated， qi， blood， yin， and yang connected， and the activities of life maintained， and thus to achieve the goal of treating ARDS by integrated Chinese medicine and Western medicine.

Objective To investigate the molecular mechanisms by which SOX7 regulates the SHP-2/Wnt/β-cate-nin/ROS pathway,affecting the proliferation,invasion,and migration of colorectal cancer cells.Methods Twenty nude mice with subcutaneously transplanted tumor models were randomly divided into four groups:SOX7 NC(n=5),SOX mimic(n=5),SOX7 NC+PHPS1(n=5),and SOX7 mimic+PHPS1(n=5)to observe tumor growth.Human colorectal cancer cell line SW480 cells were transfected via lipofection and divided into six groups:SOX7 NC,SOX7 mimic,SOX7 NC+H2 O2,SOX7 mimic+H2O2,SOX7 NC+PHPS1,and SOX7 mimic+PHPS1.The ex-pression of SHP-2/Wnt/β-catenin/ROS pathway-related proteins in SW480 cells of each group was detected by Western blot.The invasion and migration capabilities of SW480 cells were assessed through scratch and Transwell invasion assays,while cell proliferation was evaluated using CCK-8.Results In vivo experiments demonstrated that tumors in the SOX7 mimic group were significantly smaller than those in the SOX7 NC group(P＜0.01).Tumors treated with PHPS1 intervention exhibited a significant increase in volume.There was no statistical significance in the difference in tumor volume between the SOX7 mimic+PHPS1 group and the SOX7 NC+PHPS1 group.In vitro experiments revealed that SOX7 mimic inhibited the expression of Wnt,β-catenin,NOX2,NOX4,PI3K,P-PI3K,AKT,P-AKT proteins(P＜0.01),and promoted the expression of p-SHP-2 protein(P＜0.01).The addition of hydrogen peroxide and SHP-2 inhibitor reversed the effects of SOX7 on SW480 cells(P＜0.05),and significantly promoted the expression levels of Wnt,β-catenin,NOX2,NOX4,PI3K,P-PI3K,AKT,P-AKT proteins,with no sig-nificant difference,while significantly reducing the expression levels of SHP-2,p-SHP-2 proteins,with no significant difference.PHPS1 inhibited the expression of SHP-2,p-SHP-2 proteins(P＜0.05)and upregulated the expression of Wnt,β-catenin,NOX2,NOX4,PI3K,P-PI3K,AKT,P-AKT proteins(P＜0.05).Scratch,Transwell invasion and migration assays,and CCK-8 experiments indicated that SOX7 suppressed the migration,invasion,and proliferation of SW480 cells through oxidative stress and the SHP-2 pathway(P＜0.01),while H2O2 and PHPS1 intervention promoted the migration,invasion,and proliferation of SW480 cells(P＜0.05).Conclusion SOX7 can suppress the proliferation,invasion,and migration of colorectal cancer by targeting the SHP-2/Wnt/β-catenin/ROS pathway.

Objective To explore the predictive role of the triglyceride-glucose(TyG)index in patients with acute ischemic stroke(AIS)treated with alteplase thrombolysis and create a comprehensive predictive model integrating multiple factors for assessing patient out-comes.Methods The clinical data of 302 patients with AIS undergoing alteplase intravenous thrombolysis at the Neurology Department of Fushun Central Hospital from January 2019 to October 2022 were retrospectively analyzed.The patients were categorized into a good prognosis group(n= 193)and a poor prognosis group(n= 109)based on their mRS scores at 90 days post-thrombolysis.Univariate and multivariate logistic regression analyses were employed to identify risk factors influencing adverse outcomes and to establish a predictive model.The predictive performance of the model was assessed using receiver operating characteristic(ROC)curve analysis.Results The results of the multivariate logistic regression analysis revealed that pre-thrombolysis high NIHSS score and TyG index≥9.37 were inde-pendent risk factors for unfavorable prognosis in AIS patients.A predictive model for AIS patient prognosis was successfully established:Logit(Y)=-17.167 + 1.681×TyG index+0.147×pre-thrombolysis NIHSS score.The optimal cutoff value for the TyG index was 9.37.The ROC areas under the curve for predicting unfavorable prognosis in AIS patients at 90 days post-thrombolysis were 0.713 for TyG index,0.705 for pre-thrombolysis NIHSS score,and 0.787 for the combined variable(Y),with the combined variable(Y)exhibiting the largest ROC curve area.Conclusion TyG index≥9.37 and pre-thrombolysis high NIHSS score are independent risk factors for poor prognosis.The combined variable the combined variable(Y)has higher predictive efficiency than the separate variables.

A high performance liquid chromatography (HPLC) method utilizing correction factors was established for the quantitative detection of related substances in flumazenil. Separation was achieved using an Agilent Pursuit XRs C18 column (250 mm × 4.6 mm, 5 μm) with an isocratic elution of dilute phosphoric acid, methanol, and tetrahydrofuran as the mobile phases. Correction factors calculated from a standard curve method were applied to determine the impurity content. The quantification of impurities in flumazenil was conducted using both external standard and correction factor methods, followed by validation and comparison of the two. For the identification of degradation products, a forced degradation approach was employed to prepare a flumazenil degradation solution, and the resulting impurities were confirmed by LC-MS analysis. The separation of flumazenil and its impurities was found to be efficient. The limits of quantification for impurities A, B, D, and E were established at 0.169 9, 0.314 7, 0.143 9, and 0.270 8 ng, respectively, with the limits of detection at 0.055 8, 0.096 9, 0.048 8, and 0.089 0 ng. These impurities demonstrated a strong linear relationship across the concentration ranges of 0.034 9-7.847 0, 0.038 7-8.710 7, 0.034 6-7.794 1, and 0.032 4-7.292 8 µg·mL^-1, respectively (n = 7). The method achieved average recoveries between 98.25% and 99.42%, with an RSD of less than 2.0% (n = 9), indicating high accuracy. The external standard and correction factor methods were used to determine the related substances in flumazenil, and the results of the two methods were consistent. The established HPLC method is characterized by its high accuracy, sensitivity, and repeatability, and is suitable for determining related substances in flumazenil.