OBJECTIVE To improve the inventory turnover rate of traditional Chinese medicine （TCM） decoction pieces in hospitals and achieve refined inventory management for cost reduction and efficiency improvement. METHODS Inventory data of TCM decoction pieces in our hospital from 2022 to 2023 were collected. Based on the sale amount and demand coefficient of variation respectively， the ABC classification method and XYZ analysis method were adopted for classification. The two classification results were combined through a cross matrix to divide them into three-level management priorities： level Ⅰ （AX， AY， BX）， level Ⅱ （AZ， BY， CX）， and level Ⅲ （BZ， CY， CZ）. Differentiated inventory strategies were formulated for each level， and core indicators such as turnover rate and inventory cost before and after inventory management optimization were compared. RESULTS There were 58 types （14.22%） in level Ⅰ， 85 types （20.83%） in level Ⅱ， and 265 types （64.95%） in level Ⅲ. After inventory management optimization， the average inventory value of TCM decoction pieces decreased by 341 800 yuan， the average turnover rate increased by 73.03%， and the average turnover days decreased by 4.98 days. The differences in all indicators before and after optimization were statistically significant （ P ＜0.01）. CONCLUSIONS The ABC-XYZ analysis method can break through the single-dimensional limitation of the traditional ABC classification method， adapt to characteristics such as the strong seasonality of TCM decoction pieces， significantly optimize the inventory structure， improve turnover efficiency， and reduce operating costs. It provides a feasible plan for the refined and scientific management of hospital TCM warehouses.

Objective To determine the expression of FOXM1 and PLK1 in colorectal cancer tissues and their relationship with clinicopathological characteristics and prognosis of patients. Methods Sixty patients who underwent surgical resection of colorectal cancer were retrospectively selected. Colorectal cancer tissues and adjacent tissues (>5 cm from the margins of colorectal cancer tissues) were collected. Immunohistochemistry, Western blot, and qRT-PCR analyses were used to detect the expression levels of FOXM1 and PLK1 in colorectal cancer tissues. Human colon cancer HCT-116 cells were treated with FOXM1 inhibitor FDI-6, and the effect of downregulating FOXM1 on PLK1 expression levels was investigated by Western blot and qRT-PCR. Results FOXM1 and PLK1 were highly expressed in the cytoplasm of colorectal cancer cells, and the positive expression rate was significantly higher than those in adjacent tissues (P<0.05). FOXM1 expression was closely related to the degree of differentiation, TNM stage, lymph node metastasis, and invasion depth (all P<0.05). PLK1 expression was closely related to TNM stage, lymph node metastasis, and invasion depth (all P<0.05). The expression levels of FOXM1 and PLK1 in colorectal cancer tissues were positively correlated (r_s=0.373, P=0.003). Western blot and qRT-PCR results showed that the expression level of PLK1 decreased significantly after inhibition of FOXM1 expression. Patients with either FOXM1 or PLK1 expression alone, or with neither expressed, had significantly longer survival time and more favorable prognosis than those with FOXM1 and PLK1 co-expression. Conclusion FOXM1 and PLK1 are highly expressed in colorectal cancer tissues. FOXM1 may promote colorectal cancer through PLK1, and its high expression suggests poor prognosis of patients and may be a potential target for colorectal cancer.

Objective To investigate the association of Chinese visceral adiposity index(CVAI)and high-sensitivity C-reactive protein(hs-CRP)with the risk of digestive malignancies in the Kailuan study population,and to provide a basis for the prevention and control of digestive malignancies in the population.Methods A prospective cohort study was conducted,and a total of 94 377 Kailuan workers who participated in the 2006 health examination,had no history of cancer,and had complete data on CVAI,CRP,and related covariates were selected as the observation cohort.According to the levels of CVAI and CRP,the subjects were divided into low CVAI+CRP≤3 mg/L group[CVAI(-)CRP(-)group],low CVAI+CRP>3 mg/L group[CVAI(-)CRP(+)group],high CVAI+CRP≤3 mg/L group[CVAI(+)CRP(-)group],and high CVAI+CRP>3 mg/L group[CVAI(+)CRP(+)group].An analysis of variance was used for comparison of normally distributed continuous data between groups,and the non-parametric Kruskal-Wallis H test was used for comparison of continuous data with skewed distribution between groups;the chi-square test was used for comparison of categorical data between groups.The Cox proportional-hazards regression model was used to assess the impact of CVAI and CRP alone or in combination on the risk of digestive malignancies.Results There were significant differences between the four groups in age,male/female ratio,total cholesterol,triglycerides,high-density lipoprotein cholesterol,systolic blood pressure,diastolic blood pressure,fasting blood glucose,high-sensitivity C-reactive protein,waist circumference,body mass index,marital status,alcohol consumption,smoking,reported income,and physical exercise(all P<0.05).During a mean follow-up time of 14.08±2.76 years,2 043 new-onset cases of digestive malignancies were identified by the end of follow-up on December 31,2021.The Cox proportional-hazards regression model showed that after adjustment for CRP and other factors,compared with the low CVAI group,the high CVAI group had a hazard ratio(HR)of 1.34(95%confidence interval[CI]:1.23-1.47)for the risk of digestive malignancies.After adjustment for CVAI and other factors,compared with the CRP≤3 mg/L group,the CRP>3 mg/L group had an HR of 1.14(95%CI:1.02-1.28)for the risk of digestive malignancies.Compared with the CVAI(-)CRP(-)group(n=40 978),the CVAI(-)CRP(+)group(n=6 210),the CVAI(+)CRP(-)group(n=36 502),and the CVAI(+)CRP(+)group(n=10 687)had an HR of 1.05(95%CI:1.01-1.09,P<0.05),1.32(95%CI:1.20-1.45,P<0.05),and 1.48(95%CI:1.28-1.70,P<0.05),respectively,for the risk of digestive malignancies.As for digestive malignancies at specific locations,the CVAI(+)CRP(+)group had an increased risk of liver cancer,gastric cancer,pancreatic cancer,colorectal cancer,and small intestinal cancer with an HR of 1.35(95%CI:1.05-1.81,P<0.05),1.48(95%CI:1.09-2.00,P<0.05),1.60(95%CI:1.07-2.41,P<0.05),1.76(1.40-2.21,P<0.05),and 3.85(95%CI:1.43-10.33,P<0.05),respectively.Conclusion A high level of CVAI,a high level of CRP,and high levels of CVAI and CRP in combination can all increase the risk of digestive malignancies,among which the high levels of CVAI and CRP in combination may lead to a higher risk.

Objective To explore the risk factors of hospitalization within 24 h after birth and respiratory support in late preterm and term neonates.Methods A case-control study was conducted on 1 468 neonates with gestational ages≥34 weeks and<42 completed weeks delivered at the University-Town Hospital of Chongqing Medical University from January 2023 to March 2024.Maternal health parameters and neonatal outcomes were systematically obtained through standardized case report forms during the study period.The neonates were stratified into the hospitalization group and the non-hospitalization group based on neonatal ward admission within 24 h.For those hospitalized with infectious diseases,subgroup analysis was conducted with further categorization into respiratory support and the non-respiratory support subgroups according to ventilatory assistance requirements.The perinatal risk factors were compared between groups and subgroups,and the independent risk factors for hospitalization and the need for respiratory support within 24 h in neonates were identified.The indicators with P<0.1 in the univariate analysis were included in the multivariate logistic regression analysis,and the stepwise regression analysis was used to fit the multivariate logistic regression model.Results There were 213 cases(14.5%)in the hospitalization group and 1 255 cases(85.5%)in the non-hospitalization group.A total of 150 neonates were hospitalized due to infectious diseases,including 48 cases(32.0%)in the respiratory support subgroup and 102 cases(68.0%)in the non-respiratory support subgroup.The multivariate logistic regression analysis showed that non-regular maternal prenatal examination(OR=2.687,95%CI:1.175～6.141,P=0.019),intrauterine growth retardation(OR=2.711,95%CI:1.106～6.646,P=0.029),premature rupture of membranes(OR=1.667,95%CI:1.139～2.438,P=0.008),chorioamnionitis(OR=4.852,95%CI:2.114～11.135,P<0.001),infectious diseases in the first week before delivery(OR=1.531,95%CI:1.015～2.310,P=0.042),turbidity of amniotic fluid(OR=3.170,95%CI:2.099～4.787,P<0.001),abnormal placenta(OR=2.335,95%CI:1.202～4.534,P=0.012),complications during pregnancy(OR=2.367,95%CI:1.360～4.118,P=0.002),and the use of glucocorticoids before delivery(OR=2.744,95%CI:1.219～5.528,P=0.009)were positively correlated with hospitalization within 24 h postnatally in late preterm and term neonates.Gestational age(OR=0.693,95%CI:0.602～0.797,P<0.001),5-minute Apgar score(OR=0.026,95%CI:0.003～0.212,P=0.001),umbilical cord blood pH(OR=0.044,95%CI:0.002～0.793,P=0.034),and umbilical cord blood BE(OR=0.885,95%CI:0.823～0.823,P=0.001)were negatively correlated with it.Premature rupture of membranes(OR=0.207,95%CI:0.070～0.618,P=0.005),infectious diseases in the first week before delivery(OR=0.245,95%CI:0.070～0.854,P=0.027),5-minute Apgar score(OR=0.063,95%CI:0.008～0.526,P=0.011),and abnormal C-reactive protein of newborns(OR=0.145,95%CI:0.046～0.460,P=0.001)were negatively correlated with the need for respiratory support in neonates hospitalized due to infectious diseases.Conclusion Risk factors for neonatal hospitalization within 24 h postnatal late preterm and term are identified as irregular antenatal care,fetal growth restriction and premature rupture of membranes in late preterm and term neonates.premature rupture of membranes,antenatal maternal infections within 1 week prior to delivery and 5-minute Apgar score≥7 emerge as significant protective factors against respiratory support requirement in neonates hospitalized with infectious diseases.

Objective To explore the correlation between aging and idiopathic pulmonary fibrosis(IPF)and reveal the underlying molecular mechanisms.Methods IPF models were established using young(2-month-old)and aged(18-month-old)C57BL/6J mice by intratracheal instillation of bleomycin(BLM)hydrochloride(2.5 mg/kg)after fully exposing the trachea.The control groups received an equal volume of saline administered in the same manner.Mice were divided randomly into four groups:a young control(Ctrl-Y)group,young model(IPF-Y)group,aged control(Ctrl-A)group,and aged model(IPF-A)group.Histopathological changes were evaluated by hematoxylin-eosin and Masson staining.Collagen type Ⅰ alpha 1 chain(COL1A1),α-smooth muscle actin(SMA),and fibronectin(FN)expression were detected by immunohistochemistry.Cell senescence was detected by senescence-associated beta-galactosidase(SA-β-Gal)staining.Differentially expressed genes were detected by transcrip tome sequencing,followed by gene ontology functional annotation(GO)and kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis.Core gene expression was validated by quantitative reverse transcription-polymerase chain reaction.Results The fibrosis score was significantly higher in the IPF-A group compared with the IPF-Y group(P＜0.05).Expression levels of α-SMA,and FN were significantly upregulated in the IPF-A group versus the IPF-Y group by 36％,and 25％,respectively(P＜0.05).The SA-β-Gal-positive area indicating senescence was significantly larger in the IPF-A group than in the IPF-Y group.Fifty-five senescence-IPF interactive genes were identified,among which Cdkn1a,MMP3,and Pdcd1 were synergistically upregulated in the IPF-A group(P＜0.05).KEGG analysis revealed the activation of signaling pathways such as extracellular matrix(ECM)-receptor interaction,phagosome,cytokine-cytokine receptor interaction,efferocytosis,and PI3K-Akt(FDR＜0.05).Conclusions aging promotes IPF progression,which induces lung tissue senescence.The underlying mechanism may involve ECM remodeling driven by immunosenescence,inflammatory accumulation,and metabolic disorders.

Objective:To develop a quality control model for anal sphincter ultrasound images and validate its diagnostic performance across multiple centers.Methods:A retrospective analysis was conducted on anal sphincter ultrasound images from seven medical centers in China between May 2019 and June 2022. A total of 7 040 images from 3 116 patients were included and divided into a training set（4 912 images）and a validation set（2 128 images）. The images were classified as standard or non-standard images by three experts. Three models were developed based on different image feature extraction methods：a single-branch model，a multi-branch weighted model，and a multi-branch ensemble model. The diagnostic performance of each model was evaluated using the area under the ROC curve（AUC），sensitivity，specificity，accuracy，positive predictive value，and negative predictive value，respectively. The optimal model was selected and compared with the performance of 4 doctors with varying experience levels. Sixty days later，the images with the assistance of the model's output were reassessed by the doctors to evaluate its impact on manual quality control.Results:① Among the 3 models，the multi-branch ensemble model demonstrated the highest AUC and sensitivity，with an AUC of 0.966（95% CI=0.958 - 0.974），a sensitivity of 91.83%，and a specificity of 91.41%. This model was named M quality. ② M quality's AUC was slightly lower than that of Senior A and B（0.966 vs. 0.976，0.976，and P<0.05），its sensitivity was slightly lower than that of Senior A（91.83% vs. 95.61%， P<0.001）but comparable to Senior B（91.83% vs. 92.89%， P=0.315），its specificity was slightly lower than Senior A and B（91.41% vs. 94.44%，98.18%，and P<0.05）. However，M quality significantly outperformed Junior A and B in AUC and sensitivity（AUC：0.966 vs. 0.850，0.818；sensitivity：91.83% vs. 84.90%，61.46%；all P<0.001），its specificity was higher than that of Junior A（91.41% vs. 80.28%， P<0.001）but lower than that of Junior B（91.41% vs. 95.96%， P<0.001）. ③ With model assistance，Senior B's sensitivity（92.89% vs. 94.20%， P=0.001）and Senior A's specificity（94.44% vs. 96.56%， P<0.001）improved significantly. Junior A and B showed significant improvements in AUC and sensitivity（AUC：0.931 vs. 0.850，0.914 vs. 0.818；sensitivity：91.83% vs. 84.90%，89.53% vs. 61.46%；all P<0.001）. After model assistance，Junior A's specificity increased（93.62% vs. 80.28%， P<0.001），while Junior B's specificity decreased（91.60% vs. 95.96%， P=0.013）. Conclusions:This study develops a quality control model for anal sphincter ultrasound images with robust diagnostic performance，approaching the level of seniors. The model significantly enhances the image quality assessment capabilities of juniors，demonstrating promising clinical application potential.

Intelligent acupuncture-moxibustion medical equipment is an important force in promoting the inheritance, innovation, and modernization of acupuncture-moxibustion. This paper reviews the development status of intelligent acupuncture-moxibustion medical equipment and related new technologies, as well as the challenges faced. It is found that, with the advancement of technologies such as big data and artificial intelligence, acupuncture-moxibustion medical equipment has shown characteristics of greater precision, miniaturization, intelligence, and portability. However, deficiencies remain in areas such as standardization and regulation, including relatively low rates of effective transformation and a lack of innovation in research outcomes. Therefore, there is an urgent need to formulate corresponding strategies: improving the development of relevant standards for intelligent acupuncture-moxibustion medical equipment, encouraging the integration of medicine and engineering, cultivating interdisciplinary talents, and strengthening the protection of invention patents. It is necessary to establish a demand-oriented pathway connecting "equipment development, equipment evaluation, product formation" through multiple stages such as talent training and research project initiation, thereby promoting the modernization and standardization of intelligent acupuncture-moxibustion medical equipment and supporting the revitalization of traditional medicine.
Moxibustion/instrumentation* ; Humans ; Acupuncture Therapy/trends* ; Artificial Intelligence

Chemotherapy is currently the mainstay of systemic management for triple-negative breast cancer (TNBC), but chemoresistance significantly impacts patient outcomes. Our research indicates that Doxorubicin (Dox)-resistant TNBC cells exhibit increased glycolysis and ATP generation compared to their parental cells, with this metabolic shift contributing to chemoresistance. We discovered that ALKBH3, an m¹A demethylase enzyme, is crucial in regulating the enhanced glycolysis in Dox-resistant TNBC cells. Knocking down ALKBH3 reduced ATP generation, glucose consumption, and lactate production, implicating its involvement in mediating glycolysis. Further investigation revealed that aldolase A (ALDOA), a key enzyme in glycolysis, is a downstream target of ALKBH3. ALKBH3 regulates ALDOA mRNA stability through m¹A demethylation at the 3'-untranslated region (3'UTR). This methylation negatively affects ALDOA mRNA stability by recruiting the YTHDF2/PAN2-PAN3 complex, leading to mRNA degradation. The ALKBH3/ALDOA axis promotes Dox resistance both in vitro and in vivo. Clinical analysis demonstrated that ALKBH3 and ALDOA are upregulated in breast cancer tissues, and higher expression of these proteins is associated with reduced overall survival in TNBC patients. Our study highlights the role of the ALKBH3/ALDOA axis in contributing to Dox resistance in TNBC cells through regulation of ALDOA mRNA stability and glycolysis.

Objective:To evaluate the effect and causality of serum metabolites on the pathogenesis of ulcerative colitis (UC), so as to provide reference for nutritional programs for patients with UC.Methods:Two-sample Mendelian randomization (MR) analysis was performed to estimate the causal relationship between serum metabolites and UC. Genome-wide association studies (GWAS) of 1 400 metabolites were performed, with the metabolites as exposure and UC as outcome. Inverse-variance weighted (IVW) was used to calculate causal estimates. Four other MR methods with different modeling assumptions including MR-Egger, weighted median, weighted mode, and simple mode were used as additional analyses to improve the stability of the results. The results were validated through heterogeneity and pleiotropy tests. Finally, the possible causal metabolites were analyzed by metabolic pathway analysis.Results:MR analysis revealed that 85 metabolites had a possible causal relationship with UC. Among them, phosphatidylglycerol 1,2-dipalmitoyl-gpc (DPPC) ( P=2.75×10 -6) and isovaleryl carnitine (C5) ( P=1.84×10 -5) were significant risk factors for UC. Metabolic pathway analysis identified 5 metabolic pathways that might be affected by these metabolites (all P<0.05), among which the porphyrin ( P=0.004) and pyrimidine metabolic pathways ( P=0.008) had higher confidence in impacting UC. Conclusions:There are causal relationships between some serum metabolites (in particular 1,2-dipalmitoyl-GPC and isovalerylcarnitine) and the risk of UC. The porphyrin and pyrimidine metabolic pathways may impact the pathogenesis of UC.

Objective:To evaluate the effect and causality of serum metabolites on the pathogenesis of ulcerative colitis (UC), so as to provide reference for nutritional programs for patients with UC.Methods:Two-sample Mendelian randomization (MR) analysis was performed to estimate the causal relationship between serum metabolites and UC. Genome-wide association studies (GWAS) of 1 400 metabolites were performed, with the metabolites as exposure and UC as outcome. Inverse-variance weighted (IVW) was used to calculate causal estimates. Four other MR methods with different modeling assumptions including MR-Egger, weighted median, weighted mode, and simple mode were used as additional analyses to improve the stability of the results. The results were validated through heterogeneity and pleiotropy tests. Finally, the possible causal metabolites were analyzed by metabolic pathway analysis.Results:MR analysis revealed that 85 metabolites had a possible causal relationship with UC. Among them, phosphatidylglycerol 1,2-dipalmitoyl-gpc (DPPC) ( P=2.75×10 -6) and isovaleryl carnitine (C5) ( P=1.84×10 -5) were significant risk factors for UC. Metabolic pathway analysis identified 5 metabolic pathways that might be affected by these metabolites (all P<0.05), among which the porphyrin ( P=0.004) and pyrimidine metabolic pathways ( P=0.008) had higher confidence in impacting UC. Conclusions:There are causal relationships between some serum metabolites (in particular 1,2-dipalmitoyl-GPC and isovalerylcarnitine) and the risk of UC. The porphyrin and pyrimidine metabolic pathways may impact the pathogenesis of UC.