OBJECTIVE To investigate a dynamic monitoring of drug consumption （DMDC） model based on the seasonal Mann-Kendall trend test， aiming to provide scientific evidence for the efficient and macroscopic monitoring of drug use. METHODS A monitoring list of key outpatient drugs was established based on the top 20% of drugs ranked by sales volume in the outpatient pharmacy in October 2024. A DMDC model based on the Mann-Kendall trend test was constructed using the monthly usage data of key outpatient drugs from November 2021 to October 2024， aiming to eliminate the impact of seasonal fluctuations and analyze the temporal trends in drug consumption. Taking mucolytic expectorants， triazole derivatives for dermatophytosis， and single-agent hydroxymethylglutaryl coenzyme A （HMG-CoA） reductase inhibitors as examples， the monitoring effectiveness of the DMDC model was demonstrated， and its performance was compared with that achieved by the traditional sequential growth rate ranking method. RESULTS A total of 215 drug varieties were included in the monitoring list， and DMDC models were successfully established for all of them. Among these， 119 showed a significant increasing trend （P＜0.05， S′＞0）. The model successfully monitored the monthly consumption of mucolytic expectorants， triazole derivatives for dermatophytosis， and single- agent HMG-CoA reductase inhibitors. The precision and recall rates of the DMDC model for identifying abnormal drug use were 60.7% and 85.0%， respectively， both significantly higher than those of the sequential growth rate ranking method （8.3% and 15.0%， respectively） （χ2＝20.114， P＜0.001； χ2＝19.600， P＜0.001）. CONCLUSIONS DMDC model based on the seasonal Mann-Kendall trend test can effectively identify long-term trends in drug consumption， eliminate seasonal interference， enhance monitoring accuracy and management efficiency， and is suitable for the dynamic monitoring of drug consumption.

ObjectiveThis study aims to investigate the molecular mechanism by which Guizhi Fulingwan （GFW） inhibits ferroptosis in endometriosis （EMT） through the regulation of the hypoxia inducible factor-1α/heme oxygenase 1 （HIF-1α/HO-1） signaling pathway. MethodsMachine learning was employed to identify ferroptosis-related biomarkers associated with EMT. Network pharmacology was utilized to identify the active components of GFW and its potential therapeutic targets against EMT， including core targets. Functional enrichment analysis was conducted to explore the biological processes， molecular functions， cellular components， and signaling pathways associated with the potential targets. An EMT rat model was established via autologous transplantation. Thirty female Sprague-Dawley （SD） rats were randomly divided into five groups： sham-operated， model， positive control （dienogest at 0.2 mg·kg^-1）， low-dose GFW （2.5 g·kg^-1）， and high-dose GFW （5 g·kg^-1）. After modeling， the rats received their respective treatment by oral gavage for 28 consecutive days， while the sham and model groups received equal volumes of distilled water. Serum and ectopic endometrial tissues were collected. Hematoxylin and eosin （HE） staining was employed to evaluate morphological alterations in ectopic lesions. Quantitative real-time polymerase chain reaction （Real-time PCR） and Western blot were conducted to assess mRNA and protein expression of HIF-1α， HO-1， glutathione peroxidase 4 （GPX4）， spermidine/spermine N1-acetyltransferase （SAT1）， and prostaglandin-endoperoxide synthase 2 （PTGS2）. Tissue levels of malondialdehyde （MDA）， glutathione （GSH）， and ferrous iron （Fe²⁺） were quantified using commercial assay kits. Serum levels of interleukin-6 （IL-6） and transforming growth factor-β₁ （TGF-β₁） were measured via enzyme-linked immunosorbent assay （ELISA）. ResultsFive ferroptosis-related biomarkers in EMT were identified： ALOX12， CHAC1， SAT1， AST1， and HO-1. Network pharmacology analysis revealed 42 active components of GFW and 192 potential therapeutic target genes related to EMT treatment， with FOS， JUN， HO-1 identified as core targets. Functional enrichment analysis indicated that the potential targets were primarily involved in oxidative stress response and reactive oxygen species metabolism and were enriched in the HIF-1 signaling pathway. Compared to the sham-operated group， the model group exhibited significant increases in both mRNA and protein expression of HIF-1α， HO-1， and PTGS2， as well as elevated tissue levels of Fe²⁺ and MDA. Conversely， GSH levels and the expression of GPX4 and SAT1 were markedly reduced， and serum levels of IL-6 and TGF-β₁ levels were significantly higher （P<0.01）. Compared with the model group， all GFW-treated groups showed significant downregulation of HIF-1α and HO-1， reduced Fe²⁺ levels， and downregulated expression of MDA， PTGS2， IL-6， and TGF-β₁. Meanwhile， GSH， GPX4， and SAT1 expression levels were significantly increased （P<0.05， P<0.01）， effectively ameliorating iron overload and oxidative stress， thereby demonstrating therapeutic efficacy in EMT， with the high-dose GFW demonstrating the most pronounced therapeutic effects. ConclusionGFW exerts therapeutic effects on endometriosis by regulating the HIF-1α/HO-1 signaling pathway to rectify iron metabolism disorders and attenuate free iron-induced oxidative damage. It upregulates the antioxidative defense system to inhibit lipid peroxidation cascades and modulates inflammatory cytokine networks. These effects collectively disrupt the pathological interaction between ferroptosis and chronic inflammation， providing a novel theoretical foundation for the clinical application of GFW in EMT treatment.

Cervical cancer is one of the most common gynecological malignant tumors in China. Given their lack of obviously early symptoms, more than half of patients with cervical cancer are diagnosed in the middle and late stages of this malignancy, resulting in poor prognosis. Finding new therapeutic targets is the current research direction. Metabolomics, as a new omics technology, is expected to provide new targets for tumor precision diagnosis and treatment through the analysis of the changes and potential mechanisms of metabolites in tumor occurrence and development by chromatography, mass spectrometry, and other technologies. Herein, we review the research methods of metabolomics; metabolic characteristics of cervical cancer; and progress of the research on metabolomics in cervical cancer diagnosis, curative effect prediction, and prognosis evaluation to provide new ideas for the precise diagnosis and treatment of cervical cancer.

This study aimed to comprehensively examine the association of gallstones, cholecystectomy, and cancer risk. Multivariable logistic regressions were performed to estimate the observational associations of gallstones and cholecystectomy with cancer risk, using data from a nationwide cohort involving 239 799 participants. General and gender-specific two-sample Mendelian randomization (MR) analysis was further conducted to assess the causalities of the observed associations. Observationally, a history of gallstones without cholecystectomy was associated with a high risk of stomach cancer (adjusted odds ratio (aOR)=2.54, 95% confidence interval (CI) 1.50-4.28), liver and bile duct cancer (aOR=2.46, 95% CI 1.17-5.16), kidney cancer (aOR=2.04, 95% CI 1.05-3.94), and bladder cancer (aOR=2.23, 95% CI 1.01-5.13) in the general population, as well as cervical cancer (aOR=1.69, 95% CI 1.12-2.56) in women. Moreover, cholecystectomy was associated with high odds of stomach cancer (aOR=2.41, 95% CI 1.29-4.49), colorectal cancer (aOR=1.83, 95% CI 1.18-2.85), and cancer of liver and bile duct (aOR=2.58, 95% CI 1.11-6.02). MR analysis only supported the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer. This study added evidence to the causal effect of gallstones on stomach, liver and bile duct, kidney, and bladder cancer, highlighting the importance of cancer screening in individuals with gallstones.
Humans ; Mendelian Randomization Analysis ; Gallstones/complications* ; Female ; Male ; Cholecystectomy/statistics & numerical data* ; Middle Aged ; Risk Factors ; Aged ; Adult ; Neoplasms/etiology* ; Stomach Neoplasms/epidemiology*

Dysphagia is a common complication of stroke. Combining the principles of traditional Chinese medicine with modern research findings， it is proposed that "latent pathogen in the cerebral collaterals" constitutes the core pathogenesis of post-stroke dysphagia （PSD）. In clinical practice， treatment is tailored according to the location of PSD. During the oral stage， when the pathogen invades the face and mouth， resulting in excessive salivation， acupoints are primarily selected from the foot shaoyin （少阴） kidney channel， in combination with ren mai （任脉） ， du mai （督脉）， chong mai （冲脉） and the spleen channel， to replenish essence and fill the marrow， dispel dampness and unblock the channels. In the pharyngeal stage， as the pathogen obstructs the throat， disrupting normal swallowing， the therapy emphasizes dredging the shaoyang （少阳） channel and warming and tonifying the jueyin （厥阴） channel， by taking acupoints mainly from the hand and foot shaoyang channels， along with the jueyin channels， so as to soothe the liver and promote bile secretion， regulate and harmonize qi and blood. During the esophageal stage， where the pathogen damages the esophagus， impeding food passage， the treatment emphasizes activating the yangming （阳明） channels and regulating taiyin （太阴） channels； acupoints are mainly selected from the foot yangming stomach channel， along with the taiyin channels， aiming to warm yang， unblock the channels and dispel stasis.

OBJECTIVE To explore the correlation between drug consumption index and diagnosis related groups （DRG） overspending cases， and provide a basis for hospitals to optimize the cost structure and strengthen the refined management. METHODS Based on the data of DRG patients enrolled in a third-grade class A hospital from September to November 2023， the multivariate Logistic regression model and restricted cubic spline （RCS） model were used to analyze the correlation of drug consumption index with DRG overspending cases and its threshold effect， respectively. At the same time， rational drug use evaluation was conducted based on the drug consumption index， precise cost control and management were carried out， and the changes in the main pharmaceutical indicators of the whole hospital were analyzed before control （January-June 2023） and after control （January-June 2024）. RESULTS The results of multivariate Logistic regression analysis showed that long hospitalization days， high drug consumption index， transfer to other departments and combined diabetes mellitus were the risk factors for DRG overspending （P＜0.05）. The results of the RCS model showed that the drug consumption index had a non-linear relationship with DRG overspending. When the drug consumption index was ≥0.64， the drug consumption index was positively correlated with the risk of DRG overspending（P＜0.05）. Compared with the same period before the control， medical cost per time， drug cost per time and drug consumption index decreased significantly after the control （P＜0.01）. CONCLUSIONS The drug consumption index is a risk factor for DRG overruns， there is a non-linear relationship and threshold effect between it and DRG overruns. Each hospital can set a reasonable threshold and implement dynamic monitoring and intervention by comprehensively considering the actual drug usage， disease spectrum characteristics， and cost control targets， as well as factors such as medical quality， patient needs， and the payment capacity of medical insurance， which can effectively achieve precise control over drug usage.

Precancerous lesions of gastric cancer （PLGC） are a group of pathological changes caused by abnormalities in the structure， morphology， and differentiation of gastric mucosal epithelial cells. Since the early symptoms are hidden and non-specific， PLGC is not easy to be diagnosed and it has often developed into intermediate or advanced gastric cancer once being diagnosed and missed the best time for treatment. Accordingly， the incidence of this disease is increasing year by year， which lifts a heavy burden on the patients. The pathogenesis of PLGC is complex， involving inflammatory microenvironment， bile reflux， glycolysis， autophagy， and apoptosis. Currently， PLGC is mainly treated with anti-inflammatory and endoscopic therapies， which are difficult to curb the development of PLGC. Therefore， seeking a safe and effective therapy is an important topic of modern research. Traditional Chinese medicine （TCM）， characterized by treatment based on syndrome differentiation and a holistic view， exerts effects via multiple pathways， mechanisms， and targets. Recent studies have confirmed that TCM can regulate the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin （PI3K/Akt/mTOR）， Wnt/β-catenin， Sonic Hedgehog， nuclear factor-κB （NF-κB）， Janus kinase/signal transducer and activator of transcription （JAK/STAT）， hypoxia-inducible factor-1α （HIF-1α）， neurogenic locus notch homolog protein （Notch）， nuclear factor E₂-related factor 2 （Nrf2） and other signaling pathways. By targeting these pathways， TCM can inhibit aerobic glycolysis， reduce oxidative stress， repair the inflammatory microenvironment， regulate cellular autophagy， and promote vascular normalization， thereby delaying or reversing PLGC. However， few researchers have systematically summarized the TCM regulation of PLGC-associated pathways. By reviewing the relevant articles at home and abroad， this paper summarized the roles of the above signaling pathways in the development of PLGC and the research progress in the regulation of signaling pathways by TCM in the treatment of PLGC， with a view to providing a new theoretical basis for the clinical research on PLGC and the drug development for this disease.

Parkinson's disease（PD） is the second most common neurodegenerative disease in the world， which seriously affects the lives of patients. With the acceleration of aging process， the number of patients continues to rise. Its main pathological features are aggregation of α-synuclein and degenerative death of dopaminergic neurons in the substantia nigra. However， the pathogenesis of PD is still unclear. According to reports， the brain-derived neurotrophic factor（BDNF）/tyrosine kinase receptor B（TrkB） signaling pathway is highly expressed and activated in dopaminergic neurons in the substantia nigra， which is closely related to neurophysiological processes such as neurogenesis， synaptic plasticity， neuroinflammation， and oxidative stress. It plays an important role in the occurrence and development of PD. At present， the treatment methods of Western medicine for PD are mainly based on drugs such as levodopa and dopamine agonists to alleviate motor symptoms， but with the increase of dose， the adverse reactions are significantly enhanced. Traditional Chinese medicine（TCM） has attracted people to explore its therapeutic effects on PD due to its characteristics of homology of medicine and food， economy， minor adverse reactions and multi-target action. Therefore， this paper systematically reviews the role of BNDF/TrkB pathway in the pathogenesis of PD and the mechanism of TCM formulas， extracts and monomers in the treatment of PD by regulating the BNDF/TrkB pathway according to retrieving the latest research reports at home and abroad， so as to provide a reference for the clinical application of related TCM and the development of new drugs for PD.

Objective To explore the expression characteristics of BAIAP2L1 in cervical cancer (CC) and its regulatory role in tumor cell metastasis. Methods The correlation between BAIAP2L1 expression and clinical prognosis was analyzed by using a public database. GO pathway enrichment and clinicopathological correlation analyses were conducted by employing R language. The effect of BAIAP2L1 knockdown on CC cell proliferation, invasion, migration, and epithelial-mesenchymal transition (EMT) were further investigated through gene silencing approaches. Results BAIAP2L1 expression was significantly upregulated in CC tissues (P_adj <0.001) and it was identified as an independent risk factor for patient mortality (HR=2.808, P=0.03). Elevated BAIAP2L1 levels showed significant correlations with poor overall survival, advanced T/N stage, recurrence, and metastasis (all P<0.05). Functional enrichment analysis revealed its involvement in tumor metastasis-related pathways. The knockdown of BAIAP2L1 significantly attenuated CC cell proliferation, invasion, and migration and suppressed key EMT processes (all P<0.05). Conclusion BAIAP2L1 is overexpressed in CC tissues and associated with patient prognosis and metastasis. The targeted inhibition of BAIAP2L1 can effectively curb tumor progression.