Lung cancer is the malignant tumor with the highest incidence and mortality rates globally. Current treatment methods for lung cancer primarily include surgery， chemotherapy， targeted therapy， and immunotherapy. However， the main limitations of these treatments are their side effects， the drug resistance， and the economic burden they impose. As a critical cancer pathway， the Janus kinase （JAK）/signal transducer and activator of transcription （STAT） signaling pathway regulates tumor occurrence and development through multiple mechanisms by influencing various downstream targets. Consequently， the JAK/STAT signaling pathway offers a promising avenue for lung cancer treatment research. Numerous studies have demonstrated that the JAK/STAT signaling pathway plays a key role in the proliferation and growth of lung cancer cells， angiogenesis， epithelial-mesenchymal transition （EMT）， metabolic alterations， remodeling of the immune microenvironment， and the development of treatment resistance. Traditional Chinese medicine （TCM） has garnered increasing attention due to its minimal side effects， low economic burden， and its potential to enhance efficacy and reduce toxicity when used in conjunction with Western medicine. In addition to traditional Chinese medicine compounds， a growing number of Chinese medicine monomers have come into the spotlight because of their more targeted effects. Numerous studies investigating the regulation of the JAK/STAT signaling pathway by TCM in the treatment of lung cancer have demonstrated that TCM can inhibit the proliferation and invasion of lung cancer cells， tumor angiogenesis， and EMT， improve the inflammatory and immunosuppressive microenvironments， and enhance treatment sensitivity by intervening in the JAK/STAT signaling pathway， thereby impeding the progression of lung cancer. In recent years， the research on the regulation of this pathway by TCM in the treatment of lung cancer has been updated rapidly. However， the summary of these studies has not been updated in time. This review summarizes and reflects on the recent research findings regarding the regulation of the JAK/STAT signaling pathway by TCM to intervene in lung cancer from three aspects， introducing the JAK/STAT pathway， elaborating the mechanism of this pathway in lung cancer， and exploring the intervention of TCM in the treatment of lung cancer through this pathway， to provide more reference for the treatment of lung cancer in the future.

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

Objective To investigate the effects of liver-specific knockout of adenosine 5'-monophosphate-activated protein kinase α(AMPKα)on pancreatic function and glucose metabolism-related genes in mice.Methods AMPKα1/α2flox/flox mice were divided into blank group(common feed)and model group(60％high fat choline deficiency feet)with eight mice in each group,and another 8 AMPKα1/α2flox/flox/Alb-Cre+mice were divided into the knockout group(60％high fat choline deficiency feet).The kit detected the levels of blood lipids and liver function indexes.The differential genes in the mouse pancreas were detected by transcriptome sequencing.The expression of differential genes in mice was detected by real-time fluorescence quantitative polymerase chain reaction and Western blotting.Results The levels of triglyceride in the blank group,model group and knockout group were(0.94±0.11),(0.71±0.14)and(1.05±0.17)mmol·L-1;the levels of triglyceride and high-density lipoprotein were(1.62±0.07),(0.44±0.08)and(0.90±0.06)mmol·L-1;the levels of glutamic oxaloacetic transaminase were(7.02±5.87),(15.60±3.15)and(22.70±2.14)U·L-1;the levels of glutamic pyruvic transaminase were(14.56±11.55),(48.64±15.84)and(75.40±11.96)U·L-1;the expression levels of phosphoenolpyruvate carboxykinase 1(PCK1)mRNA were 1.00±0,1.37±0.25 and 0.31±0.18;the relative expression levels of PCK1 protein were 0.77±0.27,1.23±0.43 and 0.51±0.40,respectively.Significant differences existed in the above indexes between the knockout group and the model group(all P＜0.05).Conclusion PCK1 gene may be an essential gene mediating the effect of liver AMPKα on islet function.

BackgroundCombination of antipsychotic drugs and modified electroconvulsive therapy （MECT） is currently a commonly used method for treating schizophrenia， but its efficacy varies among different patient groups. ObjectiveTo explore the therapeutic effects of MECT on schizophrenia patients living in different urban versus rural environments， so as to provide references for the selection of treatment plans based on patients' residence. MethodsA total of 587 patients hospitalized at Luzhou Mental Health Center， Zigong Mental Health Center and Yibin Fourth People's Hospital from May 2018 to August 2022， who met the diagnostic criteria for schizophrenia in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） ，were included in the study. Patients were divided into two groups： medication-only group （n=106） and MECT combined with medication group （n=481）. In MECT combined with medication group， 24 rural patients residing in urban areas were excluded， leaving the remaining patients divided into urban group （n=103） and rural group （n=354） based on their place of residence. Positive and Negative Syndrome Scale （PANSS） was used to assess the severity of symptoms. Clinical efficacy was evaluated using PANSS score reduction rate， and covariance analysis was used to compare the therapeutic effects of different patients. ResultsThe differences of reduction rate of PANSS total score， positive symptom scale score and negative symptom scale score as well as treatment effectiveness rate between MECT combined with medication group and medication-only group were statistically significant （F=11.149， 12.111， 31.725， χ²=14.010， P<0.01）. Statistically significant differences were also observed in reduction rate of PANSS total score and positive symptom subscale score as well as treatment effectiveness rate between urban and rural patients in MECT combined with medication group （F=3.946， 4.523， χ²=4.033， P<0.05）. ConclusionThe efficacy of MECT combined with medication may be superior to medication alone in the treatment of schizophrenia， and the combined therapy may be more effective in urban patients than that in rural patients， with potentially more pronounced improvements in positive symptoms.

Objective To investigate the relationship between insomnia,gastrointestinal symptoms,and glycosylated hemoglobin(HbA1c)levels in individuals diagnosed with type 2 diabetes mellitus(T2DM),as well as the related influencing factors.Methods A total of 910 T2DM patients treated in our multicenter from January 2022 to December 2022 were enrolled in this study.General information(gender,age,smoking and drinking history,exercise,course of disease,treatment and complications),HbA1c,Athens Insomnia Scale(AIS)scores and Gastrointestinal Symptoms Rating Scale(GSRS)scores of patients were collected.The differences of sleep and gastrointestinal symptoms between groups were analyzed,and the correlation between the differences and HbA1c was analyzed.Furthermore,the risk factors for non-standard HbA1c were analyzed.Results The AIS score and GSRS score in the HbA1c control group were less than those in the non-standard group(P＜0.01).Insomnia was reported by 37.0％of T2DM patients,and the HbA1c level in the insomnia group was significantly higher than that in the non-insomnia group(10.00％±2.38％vs.8.26％±1.73％,P＜0.01).Gastrointestinal symptoms were present in 57.5％of T2DM patients,and the HbA1c levels in the group with gastrointestinal symptoms were significantly higher than those in the group without gastrointestinal symptoms(9.26％±2.23％vs.8.43％±1.98％,P＜0.01).Furthermore,26.3％of T2DM patients experienced both insomnia and gastrointestinal symptoms.Remarkably,the HbA1c levels in the group with both insomnia and gastrointestinal symptoms were significantly higher than those in the group without either condition(10.18％±2.44％vs.8.45％±1.86％,P＜0.01).Correlation analysis demonstrated a significant association between sleep quality,gastrointestinal function,and HbA1c levels(P＜0.01).The logistic regression analysis result revealed that age,GSRS score,AIS score,and the presence of insomnia combined with gastrointestinal symptoms were independent risk factors for predicting HbA1c≥6.5％(P＜0.01).Having both insomnia and gastrointestinal symptoms concurrently was the strongest risk factor for substandard HbA1c control,and the risk of blood sugar control may increase about 5 times when both appear together.Conclusion Insomnia and gastrointestinal symptoms are common comorbidities in T2DM patients,showing a cross-interfering relationship,and they appear together with poor blood sugar control,interact causally,and amplify each other.

Objective:To describe demographic,clinical and physiological characteristics,treatment between first-episode major depressive disorder(MDD)and relapse MDD,and to explore characteristics of relapse MDD.Methods:Totally 858 patients who met the diagnostic criteria for depression of the Diagnostic and Statistical Manual of Mental Disorders,Fifth Edition(DSM-5),were included by using the Mini International Neuropsychiatric Interview(MINI),Clinician-Rated Dimensions of Psychosis Symptom Severity,and Hamilton Depression Scale etc.Among them,529(58.6％)were first-episode depression and 329(36.0％)were relapsed.The differences of demographic characteristics,clinical and physiological characteristics,treatment were compared byx2test and Kruskal-Wallis rank sum test.Multivariate logistic regression was used to explore the characteristics of MDD recur-rence.Results:Compared to first-episode MDD,relapse MDD had more comorbidity(OR=2.11,95％CI:1.00-4.44),more days out of role(OR=1.26,95％CI:1.01-1.56),more history of using psychiatric drug more than one month(OR=1.41,95％CI:1.02-1.97)and electroconvulsive therapy(OR=3.23,95％CI:1.42-7.36),and higher waist-hip ratio(OR=33.88,95％CI:2.88-399.32).Conclusion:Relapse MDD has positive as-sociation with comorbidity of mental disorders,out of role,and higher waist-hip ratio.

Coronary restenosis is an important cause of poor long-term prognosis in patients with coronary heart disease. Here, we show that lysine methyltransferase SMYD2 expression in the nucleus is significantly elevated in serum- and PDGF-BB-induced vascular smooth muscle cells (VSMCs), and in tissues of carotid artery injury-induced neointimal hyperplasia. Smyd2 overexpression in VSMCs (Smyd2-vTg) facilitates, but treatment with its specific inhibitor LLY-507 or SMYD2 knockdown significantly inhibits VSMC phenotypic switching and carotid artery injury-induced neointima formation in mice. Transcriptome sequencing revealed that SMYD2 knockdown represses the expression of serum response factor (SRF) target genes and that SRF overexpression largely reverses the inhibitory effect of SMYD2 knockdown on VSMC proliferation. HDAC3 directly interacts with and deacetylates SRF, which enhances SRF transcriptional activity in VSMCs. Moreover, SMYD2 promotes HDAC3 expression via tri-methylation of H3K36 at its promoter. RGFP966, a specific inhibitor of HDAC3, not only counteracts the pro-proliferation effect of SMYD2 overexpression on VSMCs, but also inhibits carotid artery injury-induced neointima formation in mice. HDAC3 partially abolishes the inhibitory effect of SMYD2 knockdown on VSMC proliferation in a deacetylase activity-dependent manner. Our results reveal that the SMYD2-HDAC3-SRF axis constitutes a novel and critical epigenetic mechanism that regulates VSMC phenotypic switching and neointimal hyperplasia.

As a supplement to randomized controlled trials， observational studies can provide evidence for the effectiveness of traditional Chinese medicine （TCM） treatment measures. They can also study influencing factors of diseases， etiology， and prognosis. However， there is a confounding effect due to the lack of randomization， which seriously affects the causal inference between the study factors and the outcome， resulting in confounding bias. Therefore， identifying and controlling confounding factors are key issues to be addressed in TCM observational studies. According to the causal network and the characteristics of TCM theory， confounding factors can be categorized into measured and unmeasured confounding factors. In addition， attention must be paid to identifying confounding factors and intermediate variables， as well as the interaction between confounding factors and study factors. For methods of controlling confounding factors， measured confounding factors can be controlled by stratification， multifactor analysis， propensity scores， and disease risk scores. Unmeasured and unknown confounding factors can be corrected using instrumental variable methods， difference-in-difference methods， and correction for underlying event rate ratios. Correcting and controlling confounding factors can ensure a balance between groups， and confounding bias can be reduced. In addition， methods such as sensitivity analysis and determination of interactions make the control of confounding factors more comprehensive. Due to the unique characteristics of TCM， observational studies of TCM face unique challenges in identifying and controlling confounding factors， including the ever-changing TCM treatment measures received by patients， the often-overlooked confounding effects in the four diagnostic information of TCM， and the lack of objective criteria for TCM evidence-based diagnosis. Some scholars have already conducted innovative explorations to address these issues， providing a methodological basis for conducting higher-quality TCM observational studies， so as to obtain more rigorous real-world evidence of TCM and gradually develop quality evaluation criteria for OS that are consistent with the characteristics of TCM.

Objective To summarize the results and clinical experience of transcatheter valve-in-valve implantation using domestic self-expanding valve in patients with aortic degenerated bio-prosthesis. Methods From January 2019 to April 2023, the patients who underwent transcatheter valve-in-valve surgery in the Department of Cardiac Surgery of Tianjin Chest Hospital due to surgical bio-prosthesis failure were included. Characteristics of valves, perioperative complications, and hemodynamic manifestations during the early postoperative and follow-up period were analyzed. Results A total of 24 patients were enrolled, including 14 males and 10 females with an average age of 68.17±7.72 years, and the average interval between the two operations was 10.48±4.09 years. All patients were successfully discharged without complications such as coronary artery obstruction and pacemaker implantation, and the average transvalvular pressure gradient was 16.39±6.52 mm Hg before discharge. During the median follow-up time of 16 months, the left ventricular diastolic inner diameter and ejection fraction were continuously improved. Conclusion Transcatheter valve-in-valve using domestic self-expanding valves is safe and feasible to treat aortic bioprosthetic valve failure. Sound patient selection and surgical strategies are critical to achieve good hemodynamics.

The n-butanol fraction of Alpinia oxyphylla Fructus 70% ethanol extract was separated and purified using column chromatography with MCI Gel CHP-20, Sephadex LH-20, ODS, and silica gel, combined with semi preparative liquid phase and TLC separation methods. One new halogenated 4,5-seco-eudesmane sesquiterpenoid and two new eremophilane sesquiterpenoids were isolated and purified from the n-butanol fraction of Alpinia oxyphylla Fructus. The structures of the isolated compounds were identified using modern spectroscopic methods (1D, 2D NMR, UV, IR, MS, etc.), and the absolute configuration of the new compounds were determined using the methods of calculated ECD and induced ECD.