Objective To identify renal function and other readily accessible indicators influencing the prognosis of renal cell carcinoma (RCC) patients after nephrectomy, and to construct a prognostic prediction model based on them. Methods The clinical and pathological data of 624 RCC patients undergoing radical or partial nephrectomy in the First Hospital of Shanxi Medical University during Jan. 2013 and Dec. 2021 were retrospectively analyzed. The independent prognostic factors affecting postoperative overall survival (OS) were identified with LASSO algorithm combined with Cox regression analysis. Based on these factors, a nomogram was constructed to predict the 1-, 3-, and 5-year survival rates. The performance of the model was evaluated using the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curves and the area under the curve (AUC), calibration plots, and decision curve analysis (DCA). Finally, the cutoff value of the nomogram was calculated to stratify patients into risk groups. Kaplan-Meier survival analysis with log-rank testing was performed to compare outcomes between the risk groups. Results Nine independent prognostic factors were identified, including age, smoking history, diabetes mellitus history, maximum tumor diameter, tumor subtype, N stage, Fuhrman grade, preoperative serum creatinine and cystatin C (P＜0.05). The nomogram achieved a C-index of 0.891, with time-dependent AUC of 0.920, 0.903, and 0.867 for 1-, 3-, and 5-year OS, respectively. Calibration curves showed excellent agreement with actual observations, and DCA demonstrated significant clinical net benefits across a wide threshold probability range. Using a cutoff score of 110.4, Kaplan-Meier analysis revealed statistically significant survival differences between risk groups (P＜0.001). Conclusion The proposed nomogram, incorporating renal function and other readily accessible clinical indicators, exhibits strong predictive accuracy for postoperative survival in RCC patients and may serve as a practical tool for individualized clinical decision-making.

Autotransplantation of teeth (ATT) is a surgical technique that involves transplanting a non-functional tooth (donor tooth) within the oral cavity to an edentulous area (recipient site). This procedure not only demonstrates reliable long-term success and survival rates but also possesses unique osteoinductive capacity and soft tissue preservation advantages, making it particularly suitable for the restoration of dental defects in adolescents. However, ATT is highly technique-sensitive, and its successful implementation depends on the operator’s comprehensive mastery of multidisciplinary knowledge, including alveolar surgery, periodontology, endodontics, prosthodontics, and orthodontics, as well as the precise design and execution of personalized surgical plans. Preoperative systematic evaluation is required to assess the root development stage of the donor tooth, the bone volume condition of the recipient site, and the compatibility between the donor tooth and the recipient site. For teeth with an open apex, pulpal healing through revascularization is often achievable with a high success rate, whereas those with a closed apex typically require root canal treatment 2-4 weeks postoperatively to minimize complications. Utilizing cone beam computed tomography, intraoral scanning, and virtual surgical planning enables accurate assessment of donor-recipient matching and the design of the transplantation plan. Intraoperatively, careful attention must be paid to minimizing tissue trauma through precise planning and gentle manipulation, strictly limiting the extra-oral time of the donor tooth to within 15 min, and maintaining the root surface moist at all times to protect the periodontal ligament and improve surgical outcomes. The application of tools, such as 3D-printed personalized surgical guides, donor tooth replicas, and customized osteotomes, has enhanced the precision of socket preparation. Further, emerging technologies, such as dynamic navigation, surgical robotics, and artificial intelligence, have also demonstrated promising potential in the field of ATT.

Objective: To explore the influencing factors of recurrence in postoperative patients with renal cell carcinoma，construct machine learning prediction models and evaluate their performance. Methods: Clinical data of 915 patients with renal cell carcinoma treated in our hospital during 2013 and 2021 were retrospectively collected.The data were randomly divided into a training set (n=510) and a validation set (n=218) in a 7∶3 ratio.In the training set，LASSO regression algorithm was used to screen important variables，and machine learning prediction models were constructed to predict the recurrence risk.In the validation set，the effectiveness of the models was compared combined with the area under receiver operating characteristic curve (AUC)，accuracy rate，F1 value and other indicators. Results: LASSO regression screened out the risk factors，including smoking history，tumor size，N stage，Fuhrman grade，thrombin time and fibrinogen，based on which，the logistic model，decision tree model，random forest model，and Bayes model were constructed.In the validation set，the AUC of the above 4 models was 0.862，0.792，0.843 and 0.861，respectively; the accuracy was 0.917，0.908，0.904 and 0.927，respectively; F1 value was 0.357，0.286，0.323 and 0.600，respectively.The Bayes model had the most stable performance and best differentiation. Conclusion: In this data set，the prediction model based on Bayes algorithm has a good performance and can provide reference for clinical decision making.

BACKGROUND:miRNAs expression has been reported to be associated with hepatic and renal fibrosis,and dermal fibrogenesis. Moreover,a targeted regulatory relationship between miR-192-5p and epidermal regulators has been demonstrated in gouty arthritis.OBJECTIVE:To investigate the expression and regulatory role of miR-192-5p in hypertrophic scar and to verify whether there is a targeted regulatory relationship between miR-192-5p and epidermal regulators. METHODS:(1) Six cases of hypertrophic scar tissue and six cases of normal skin tissue were collected from the First Affiliated Hospital of Xinjiang Medical University. And miR-192-5p and epidermal regulator mRNA expression were detected by qRT-PCR. (2) The primary hypertrophic scar fibroblasts were obtained using tissue explant method and cultured to 3-6 generations for subsequent experiments. There were three groups in the experiment:negative control group,miR-192-5p mimic group and miR-192-5p inhibitor group. The latter two groups were transfected with the corresponding sequences. Cell proliferation viability was detected by the cell counting kit-8 assay and EdU kit;and the migration ability was detected by the cell scratch test. Cell apoptosis was detected by flow cytometry. The gene and protein expressions of epidermal regulator,type Ⅰ collagen,type Ⅲ collagen and α-smooth muscle actin were detected by qRT-PCR and western blot,respectively. miR-192-5p targets were predicted by a bioinformatics website,and target binding was validated by dual luciferase assay. RESULTS AND CONCLUSION:(1) Compared with normal skin tissues and their fibroblasts,miR-192-5p and epidermal regulator were highly expressed in hypertrophic scar and hypertrophic scar fibroblasts (P<0.05 or P<0.01). (2) After overexpression of miR-192-5p,cell proliferation was enhanced (P<0.05) and EdU positive cell rate increased (P<0.01) when compared with the negative control group;after inhibition of miR-192-5p,cell viability (P<0.05) and EdU positive rate decreased (P<0.05). (3) At 24 hours after overexpression of miR-192-5p,compared with the negative control group,the area between cell scratches and apoptosis rate decreased in the miR-192-5p mimic group (P<0.05) but increased in the miR-192-5p inhibitor group (P<0.01). (4) At 48 hours after transfection,the mRNA and protein levels of epidermal regulator were significantly decreased in the miR-192-5p mimic group,while the mRNA and protein levels of type Ⅰ collagen,type Ⅲ collagen and α-smooth muscle actin were significantly increased (P<0.05 or P<0.01). The miR-192-5p inhibitor group showed opposite changes in the above four indicators (P<0.05 or P<0.01). (5) The Targetscan website predicted that epidermal regulator had a potential binding site for miR-192-5p. (6) Dual luciferase assays showed that miR-192-5p could bind to epidermal regulator in a targeted manner. To conclude,overexpression of miR-192-5p can decrease the expression of epidermal regulator,and the two may be negatively regulated,suggesting that regulation of epidermal regulator may play a role in inhibiting the proliferation of hypertrophic scar fibroblasts.

BACKGROUND:miRNAs expression has been reported to be associated with hepatic and renal fibrosis,and dermal fibrogenesis. Moreover,a targeted regulatory relationship between miR-192-5p and epidermal regulators has been demonstrated in gouty arthritis.OBJECTIVE:To investigate the expression and regulatory role of miR-192-5p in hypertrophic scar and to verify whether there is a targeted regulatory relationship between miR-192-5p and epidermal regulators. METHODS:(1) Six cases of hypertrophic scar tissue and six cases of normal skin tissue were collected from the First Affiliated Hospital of Xinjiang Medical University. And miR-192-5p and epidermal regulator mRNA expression were detected by qRT-PCR. (2) The primary hypertrophic scar fibroblasts were obtained using tissue explant method and cultured to 3-6 generations for subsequent experiments. There were three groups in the experiment:negative control group,miR-192-5p mimic group and miR-192-5p inhibitor group. The latter two groups were transfected with the corresponding sequences. Cell proliferation viability was detected by the cell counting kit-8 assay and EdU kit;and the migration ability was detected by the cell scratch test. Cell apoptosis was detected by flow cytometry. The gene and protein expressions of epidermal regulator,type Ⅰ collagen,type Ⅲ collagen and α-smooth muscle actin were detected by qRT-PCR and western blot,respectively. miR-192-5p targets were predicted by a bioinformatics website,and target binding was validated by dual luciferase assay. RESULTS AND CONCLUSION:(1) Compared with normal skin tissues and their fibroblasts,miR-192-5p and epidermal regulator were highly expressed in hypertrophic scar and hypertrophic scar fibroblasts (P<0.05 or P<0.01). (2) After overexpression of miR-192-5p,cell proliferation was enhanced (P<0.05) and EdU positive cell rate increased (P<0.01) when compared with the negative control group;after inhibition of miR-192-5p,cell viability (P<0.05) and EdU positive rate decreased (P<0.05). (3) At 24 hours after overexpression of miR-192-5p,compared with the negative control group,the area between cell scratches and apoptosis rate decreased in the miR-192-5p mimic group (P<0.05) but increased in the miR-192-5p inhibitor group (P<0.01). (4) At 48 hours after transfection,the mRNA and protein levels of epidermal regulator were significantly decreased in the miR-192-5p mimic group,while the mRNA and protein levels of type Ⅰ collagen,type Ⅲ collagen and α-smooth muscle actin were significantly increased (P<0.05 or P<0.01). The miR-192-5p inhibitor group showed opposite changes in the above four indicators (P<0.05 or P<0.01). (5) The Targetscan website predicted that epidermal regulator had a potential binding site for miR-192-5p. (6) Dual luciferase assays showed that miR-192-5p could bind to epidermal regulator in a targeted manner. To conclude,overexpression of miR-192-5p can decrease the expression of epidermal regulator,and the two may be negatively regulated,suggesting that regulation of epidermal regulator may play a role in inhibiting the proliferation of hypertrophic scar fibroblasts.

Objective:To test the hypothesis that Pertussis toxin (PTX) can promote the occurrence of interstitial lung disease (ILD) in experimental autoimmune myositis (EAM) model and clarify the potential pathogenic mechanism.Methods:EAM mice model were induced by Skeletal muscle thomogenate with or without PTX, and the relationship between ILD phenotypes and neutrophil extracellular traps (NETs) infiltration was analyzed by histopathological and serological studies in EAM with PTX group and EAM without PTX group. Healthy mice were given PTX alone intraperitoneally to clarify whether NETs formation could be induced in vivo, and neutrophils separated from healthy human blood were intervened with PTX to induce NETs formation in vitro. The data was tested for normality using Shapiro-Wilk. Statistical methods and were analyzed using t-test or ANOVA, and multiple comparisons between different groups were tested using Tukey test. Results:Compared with EAM without PTX group, lung tissues in EAM with PTX group had multiple pathological changes similar to polymyositis/dermatomyositis-related ILD. Nonspecific interstitial pneumonia and usual interstitial pneumonia were the main pathological types. The pulmonary interstitial lesions were accompanied by significant infiltration of NETs; and serum NETs markers levels were obviously elevated in EAM with PTX group, compared with the control group [ n=5, (87±10) ng/ml], cfDNA levels were statistically significantly elevated in both the EAM without PTX group [ n=4, (115±27) ng/ml] and the EAM with PTX group [ n=7, (150±50) ng/ml] ( F=4.24, P=0.038); Cit-H3-DNA levels were elevated in the EAM without PTX group ( n=4, 0.24±0.09), and in the EAM EAM with PTX group ( n=6, 0.33±0.11) compared with the control group ( n=4, 0.13±0.02) ( F=6.21, P=0.016). After PTX intervention, serum cfDNA levels were higher in the PTX group [ n=3, (100±40) ng/ml] than in the control group [ n=3, (45±12) ng/ml, t=2.27, P=0.086]; PTX also induced neutrophils to form NETs in vitro. Conclusion:PTX may promote the development of ILD in EAM mice model by inducing the formation of NETs, indicating that EAM mice can serve as a model for targeting NETs to study the pathogenesis ILD.

Objective To explore the changes of the thickness of myometrium(MT),apparent diffusion coefficient value of myometrium(ADCM),thickness of junctional zone(JZT)and apparent diffusion coefficient value of junctional zone(ADCJz)in patients with endometrial fibrosis.Methods A total of 59 patients with endometrial fibrosis and 34 healthy women(volunteer)of childbearing age were prospectively included.The JZT,ADCJz,MT and ADCM were measured.Independent samples t-test was used to compare the differences in JZT,ADCJZ,MT,and ADCM between the two groups.A combined prediction model was established using binary logistic regression analysis(combining mean JZT,mean ADCJZ,and mean MT).The efficiency of each parameter's mean value and the combined prediction model in diagnosing endometrial fibrosis was evaluated using the receiver operating characteristic(ROC)curve.Results JZT(anterior wall,posterior wall,fundus and mean;P=0.007,0.035,0.001 and＜0.001,respectively),ADCJZ(anterior wall,posterior wall,fundus and mean;all P＜0.001)and MT(anterior wall,posterior wall and mean;P=0.003,＜0.001 and 0.003,respectively)were significantly larger in patients with endometrial fibrosis compared to volunteer.Mean ADCJZ[area under the curve(AUC)=0.872]and the combined prediction model(AUC=0.953)had high value for diagnosing endometrial fibrosis.Conclusion MRI can be used for noninvasively assessing the changes of myometrium and JZ in patients with endometrial fibrosis.

Objective:To compare the effects of different test meals on postprandial triglycerides and to optimize the standard meal composition and the blood sampling protocol for the oral fat tolerance test.Methods:This study is a prospective, open-label, randomized, cross-over trial. In March 2023, 36 volunteers were recruited in Hebei General Hospital. They underwent a health examination and oral glucose tolerance test. Twenty-six healthy volunteers(11 males and 15 females) were included in this study, with an average age of(39.08±4.56) years. Each volunteer received 75 g protein meal, 75 g fat meal, 700 kcal fixed-calorie high-fat mixed meal, and a high-fat mixed meal with energy adjusted based on 10 kcal/kg body weight. A one-week washout period of regular diet was applied before each trial. Blood was collected at fasting status and 1, 2, 3, 4, 5, and 6 hours after a meal to detect serum triglycerides, total cholesterol, low density lipoprotein-cholesterol(LDL-C), high density lipoprotein-cholesterol(HDL-C), glucose, and insulin. The variations of postprandial metabolic indicators over time following the consumption of different test meals were analyzed. The disparities in postprandial metabolic responses between the two types of mixed meals were compared.Results:The protein meal, fat meal, fixed-calorie high-fat mixed meal, and adjusted-calorie high-fat mixed meal resulted in postprandial triglyceride increases of 22.45%, 115.40%, 77.14%, and 63.63%, and insulin increase of 560.43%, 85.69%, 554.18%, and 598.97%, respectively, and with reductions in total cholesterol, LDL-C, and HDL-C ranging from 5.64%-21.81%, respectively. The blood glucose changed slightly. Changes in metabolic indicators mainly occured within 4 hours. The comparison of the characteristics of postprandial triglycerides between the two high-fat mixed meals showed no statistically significant differences( P>0.05). Conclusion:A standardize protocol with a 700 kcal fixed-calorie high-fat mixed meal as test meal, and blood lipid levels measured at fasting and at 1, 2, 3, and 4 hours after consumption, can serve as an optimized approach for oral fat tolerance test.

Objective:To retrieve, evaluate, and integrate the best evidence of general anesthesia health education for adult patients undergoing elective surgery, so as to provide a basis for clinical health education guidance.Methods:Evidence-based questions were established based on the population, intervention, professional, outcome, setting and type of evidence (PIPOST) model. All evidence on general anesthesia health education for adult patients undergoing elective surgery were retrieved from databases or professional association websites such as Cochrane Library, British Medical Journal (BMJ) Best Practice, UpToDate, Agency for Healthcare Research and Quality, Guidelines International Network, National Institute for Health and Clinical Excellence, Clinical Guidelines Library, PubMed, China National Knowledge Infrastructure, WanFang Data, Medlive, American Society of Anesthesiologists, and Society of Anesthesiology of the Chinese Medical Association. The search period was from database establishment to June 18, 2023. Two researchers screened and evaluated the quality of the included literature, extracted and integrated the evidence to form the best evidence for general anesthesia health education in adult patients undergoing selective surgery.Results:A total of 10 articles were included, including four guidelines, three clinical decision-making, and three expert consensus. A total of 41 pieces of evidence on general anesthesia health education for adult patients undergoing elective surgery were extracted, including six aspects of anesthesia overview, pre-anesthesia evaluation, pre-anesthesia preparation, anesthesia process and cooperation, anesthesia recovery period management, and postoperative management.Conclusions:The best evidence of general anesthesia health education for adult patients undergoing selective surgery summarized can provide a basis for comprehensive and systematic education of anesthesia health educators.

Objective:To explore the effects of depressive symptoms on sleep quality in adolescents with depressive disorder, and the mediating roles of cognitive fusion and sleep belief.Methods:A sample of 210 adolescents with first episode depressive disorder aged 12-18 years were recruited to complete 17-item Hamilton depression scale (HAMD-17), Pittsburgh sleep quality index (PSQI), cognitive fusion questionnaire (CFQ), and dysfunctional beliefs and attitudes about sleep scale (DBAS-16) from November 2021 to July 2022. SPSS 26.0 software was used to perform descriptive analysis and correlation analysis. The mediating effect was tested by Bootstrap analysis using PROCESS V 3.4 Macro program.Results:The incidence of low sleep quality in adolescents with depressive disorder was 69.0%(145/210). HAMD-17 score was (22.4±7.9), PSQI score was (9.7±3.7), CFQ score was (51.6±7.8), DBAS-16 score was (43.5±8.4).PSQI was positively correlated with the scores of HAMD-17 and CFQ( r=0.613, 0.463, both P<0.001).HAMD-17 was positively correlated with CFQ score ( r=0.488, P<0.001).DBAS-16 was negatively correlated with scores of PSQI, HAMD-17 and CFQ( r=-0.326, -0.284, -0.354, all P<0.001). The direct effect of depression on sleep quality was 0.230(95% CI=0.169-0.293). The indirect effect of depression on sleep quality through two pathways, the separate mediating effect value of cognitive fusion was 0.041 (95% CI=0.011-0.074), and the chain mediating effect value of cognitive fusion and sleep beliefs was 0.008(95% CI=0.001-0.020). Conclusion:Depressive symptoms can directly affect sleep quality of depressive disorder adolescents and indirectly through cognitive fusion and sleep beliefs.