BACKGROUND:Steroid-induced femoral head necrosis is mostly caused by long-term and extensive use of hormones,but its specific pathogenesis is not yet clear and needs further study. OBJECTIVE:To screen out the differential miRNAs in osteoclast exosomes after the intervention of Panax notoginseng saponins,and on this basis,to further construct an osteogenic-related ferroptosis regulatory network to explore the potential mechanism and research direction of steroid-induced osteonecrosis of the femoral head. METHODS:MTT assay was used to detect the toxic effects of different concentrations of dexamethasone and different mass concentrations of Panax notoginseng saponins on Raw264.7 cell line.Tartrate resistant acid phosphatase staining and TUNEL assay were used to detect the effects of Panax notoginseng saponins on osteoclast inhibition and apoptosis.Exosomes were extracted from cultured osteoclasts with Panax notoginseng saponins intervention.Exosomes from different groups were sequenced to identify differentially expressed miRNAs.CytoScape 3.9.1 was used to construct and visualize the regulatory network between differentially expressed miRNAs and mRNAs.Candidate mRNAs were screened by GO analysis and KEGG analysis.Finally,the differential genes related to ferroptosis were screened out,and the regulatory network of ferroptosis-related genes was constructed. RESULTS AND CONCLUSION:(1)The concentration of dexamethasone(0.1 μmol/L)and Panax notoginseng saponins(1 736.85 μg/mL)suitable for intervention of Raw264.7 cells was determined by MTT assay.(2)Panax notoginseng saponins had an inhibitory effect on osteoclasts and could promote their apoptosis.(3)Totally 20 differentially expressed miRNAs were identified from osteoclast-derived exosome samples,and 11 differentially expressed miRNAs related to osteogenesis were predicted by target mRNAs.The regulatory networks of 4 up-regulated differentially expressed miRNAs corresponding to 155 down-regulated candidate mRNAs and 7 down-regulated differentially expressed miRNAs corresponding to 238 up-regulated candidate mRNAs were constructed.(4)Twenty-four genes related to ferroptosis were screened out from the differential genes.Finally,12 networks were constructed(miR-98-5p/PTGS2,miR-23b-3p/PTGS2,miR-425-5p/TFRC,miR-133a-3p/TFRC,miR-185-5p/TFRC,miR-23b-3p/NFE2L2,miR-23b-3p/LAMP2,miR-98-5p/LAMP2,miR-182-5p/LAMP2,miR-182-5p/TLR4,miR-23b-3p/ZFP36,and miR-182-5p/ZFP36).These results indicate that Panax notoginseng saponins may regulate osteoblast ferroptosis by regulating the expression of miRNAs derived from osteoclast exosomes,thus providing a new idea for the study of the mechanism of steroid-induced femoral head necrosis.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

BACKGROUND:It has been hypothesized that PANoptosis may be involved in the pathologic process of osteoporosis,but there have been no studies addressing the mechanisms of PANoptosis genes in osteoporosis. OBJECTIVE:To analyze the biological mechanism of PANoptosis regulators in the occurrence and development of osteoporosis. METHODS:The GSE56815 dataset was obtained from the Gene Expression Omnibus database and PANoptosis genes were extracted for differential analysis.The key genes of PANoptosis were screened by random forest tree model to construct a disease risk prediction model.Consensus clustering algorithm,single sample genome enrichment analysis and immune infiltration analysis were used to explore the differences between different PANoptosis molecular subtypes.Herbal drugs that regulate the key genes of PANoptosis were predicted through Coremine medical database,a medical ontology information retrieval platform. RESULTS AND CONCLUSION:Based on the four PANoptosis key genes(CASP1,CASP10,MEFV,and TNF),the diagnostic markers of osteoporosis were determined,and the risk prediction model was constructed and verified.Osteoporosis was divided into two different PANoptosis subtypes(clusters A,B and gene clusters A,B),and the PANoptosis scores of cluster B and gene cluster B were higher than those of cluster A and gene cluster A,respectively.Traditional Chinese drugs such as ginseng which can regulate the key genes of PANoptosis were predicted by the Coremine medical database.

Objective:To investigate the influencing factors for early tumor recurrence and the efficacy of adjuvant chemotherapy in gallbladder carcinoma (GBC) patients after curative-intent resection.Methods:The retrospective case-control study was conducted. The clinicopathological data of 506 patients with GBC in 11 medical centers, including The First Affiliated Hospital of Xi'an Jiaotong University et al, from January 2016 to December 2020 were collected. There were 168 males and 338 females, aged (62±11)years. All patients underwent curative-intent resection of GBC, and they were divided into patients with and without early recurrence based on time to postoperative recurrence. Observation indicators: (1) treatment; (2) follow-up and survival of patients; (3) analysis of influencing factors for early tumor recurrence after curative-intent resection of GBC; (4) efficacy of postoperative adjuvant chemotherapy. Measurement data with normal distribution were represented as Mean± SD, and measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. Comparison of ordinal data was conducted using the Mann-Whitney U test. Univariate analysis was conducted using the corresponding statistical methods based on data type. Multivariate analysis was conducted using the Logistic regression model with forward method. The Kaplan-Meier method was used to draw survival curve and calculate survival rate, and Log-Rank test was used for survival analysis. Results:(1) Treatment. Of 506 patients, there were 112 cases with postoperative adjuvant chemotherapy, and 394 cases without postopera-tive adjuvant chemotherapy. They underwent 5(range, 3-9)cycles of postoperative adjuvant chemo-therapy. (2) Follow-up and survival of patients. All 506 patients underwent postoperative follow-up, with the follow-up time of 55(range, 34-93)months. During the follow-up, there were 248 patients with tumor recurrence, including 158 cases of early recurrence and 90 cases of late recurrence, and there were 258 patients without tumor recurrence. Of 506 patients, 275 cases survived, and 231 cases died of multiple organ failure caused by tumor recurrence and metastasis. The postoperative recurr-ence-free survival time, overall survival time were 52(range,1-93)months, 62(range, 2-93)months. The 1-, 3-, 5-year disease-free survival rates and 1-, 3-, 5-year overall survival rates of the 506 pati-ents were 68.8%, 53.8%, 47.9% and 78.3%, 58.7%, 51.6%, respectively. Results of survival analysis showed that the median overall survival time of 158 patients with postoperative early recurrence and 348 patients without postoperative early recurrence (including 90 cases of late recurrence and 258 cases of no tumor recurrence) were 9(range, 2-73)months and unreached, showing a significant difference between them ( χ2=456.15, P<0.05). (3) Analysis of influencing factors for early tumor recurrence after curative-intent resection of GBC. Results of multivariate analysis showed that carcinoembryonic antigen (CEA) >5.0 μg/L, poorly differentiated tumor, liver invasion, and tumor N staging as stage N1-N2 were independent risk factors influencing early tumor recurrence after cura-tive-intent resection of GBC ( odds ratio=2.74, 6.20, 1.81, 2.93, 4.82, 95% confidence interval as 1.62-4.64, 1.82-21.12, 1.15-3.08, 1.68-5.09, 1.91-12.18, P<0.05), while postoperative adjuvant chemo-therapy was an independent protect factor ( odds ratio=0.39, 95% confidence interval as 0.21-0.71, P<0.05). (4) Efficacy of postoperative adjuvant chemotherapy. The median overall survival time of 394 patients without postoperative adjuvant chemotherapy and 112 patients with postoperative adjuvant chemotherapy were 57(range, 2-93)months and unreached, showing a significant differ-ence between them ( χ2=9.38, P<0.05). Of the 158 patients with postoperative early recurrence after curative-intent resection of GBC, 135 cases didn't receive adjuvant chemotherapy and 23 cases received adjuvant chemotherapy, with the overall survival time of 8(range, 2-73)months and 17(range, 8-61)months, respectively, showing a significant difference between them ( χ2=7.68, P<0.05). Conclusions:CEA >5.0 μg/L, poorly differentiated tumor, liver invasion, and tumor N staging as stage N1-N2 are independent risk factors influencing early tumor recurrence after curative-intent resection of GBC, while postoperative adjuvant chemotherapy is an independent protect factor. Postoperative adjuvant chemotherapy can prolong the overall survival time of patients with post-operative tumor early recurrence.

With the development of digital technology， an increasing number of artificial intelligence （AI） technologies are being applied in the field of public health， significantly improving the efficiency of healthcare systems. However， such technological advancement also introduces a series of ethical risks. In this article， we conducted a systematic review by searching nine domestic and international databases and analyzing the ethical issues related to AI in public health， ultimately including 158 articles. Based on the analysis of the included literature， ethical risks were categorized into four aspects： data， algorithms， rights and responsibilities， and social impact. A total of 15 key issues were identified， among which privacy and confidentiality， informed consent， data security， and fairness， justice and inclusion emerged as the most prominent issues. The ethical challenges posed by AI in the field of public health cannot be ignored， and it is necessary to formulate ethical guidelines and practical recommendations for AI in this field， establish sound regulatory and review mechanisms， thereby ensuring the healthy development of AI research in public health.

Objective To explore the clinical efficacy and safety of calcium dobesilate capsules combined with conbercept in the treatment of diabetic retinopathy with macular edema.Methods Patients with diabetic retinopathy complicated with macular edema were divided into control group and treatment group by cohort method.The control group was given intravitreal injection of conbercept ophthalmic injection 50 μL every time once a month.On the basis of the treatment in the control group,the treatment group was orally treated with calcium dobesilate capsules 0.5 g three times a day.Both groups were treated for 3 months.The efficacy after treatment,and ocular recovery indexes[best corrected visual acuity(BCVA),central macular thickness(CMT)],aqueous humor pro-angiogenic factors[vascular endothelial growth factor(VEGF),stromal cell-derived factor 1(SDF-1)]and aqueous humor hypoxic response factors[erythropoietin(EPO),hypoxia-inducible factor-1 α(HIF-1α)]were compared between two groups,and the safety of the two groups was evaluated.Results The treatment group and the control group were included in 48 cases and 56 cases,respectively.After 3 months of treatment,the total effective rates of the treatment group and the control group were 92.86％(52 cases/56 cases)and 79.17％(38 cases/48 cases),and the difference was statistically significant(P＜0.05).After 3 months of treatment,the BCVA of the treatment group and the control group were(0.58±0.14)and(0.45±0.12)logMAR,respectively;the CMT were(281.22±37.68)and(329.52±46.74)μm,respectively;the expression of VEGF in aqueous humor were(141.56±22.49)and(164.22±32.51)ng·L-1,respectively;the expression of EPO in aqueous humor were(8.03±2.72)and(9.69±3.11)mU·mL-1,respectively;the expression levels of HIF-1α in aqueous humor were(168.18±69.52)and(221.47±72.46)mg·L-1,respectively;the expression levels of SDF-1 in aqueous humor were(465.32±76.28)and(526.82±94.43)mg·L-1,respectively.The above indexes in the treatment group were significantly different from those in the control group(all P＜0.05).The adverse drug reactions in the treatment group and the control group mainly included transient elevated intraocular pressure,vitreous hemorrhage,and gastrointestinal reactions.The incidence of adverse drug reactions in the treatment group and the control group were 14.29％(8 cases/56 cases)and 12.50％(6 cases/48 cases),respectively.There was no statistically significant difference(P＞0.05).Conclusion Calcium dobesilate capsules combined with conbercept ophthalmic injection has an exact efficacy in the treatment of diabetic retinopathy with macular edema.It has obvious advantages in improving visual acuity and fundus microcirculation,and has good safety.