Objective To evaluate the efficacy of coenzyme Q10 in preventing propofol infusion syndrome in rats.Methods Thirty pathogen-free healthy male Sprague-Dawley rats,aged 8-10 weeks,weighing 250-280 g,were randomly divided into 3 groups (n=10 each) using a random number table:control group (group C),propofol group (group P) and coenzyme Q10 group (group CoQ10).Normal saline was infused intravenously in group C.In group P,1％ propofol in medium-and long-chain triglyceride emulsion injection was infused intravenously.In group CoQ10,CoQ10 100 mg/kg was administrated by intragastric gavage,and 1 h later propofol was infused intravenously.The infusion rate was 20mg·kg-1 ·h-1 within the first6hand40mg· kg-1 · h-1fortherest6h,and the total time was 12hin the three groups.Immediately after the start of administration (To),and at 6 and 12 h after the start of administration (T1,2),blood samples 2 ml were taken from the common carotid artery,with 0.5 ml for blood gas analysis and 1.5 ml for determination of the levels of serum aspartate aminotransferase (AST),alanine aminotransferase (ALT),creatine kinase (CK),creatine kinase isoenzyme-MB (CK-MB),cardiac troponin Ⅰ (cTnⅠ),blood urea nitrogen (BUN) and creatinine (Cr).After blood sampling,the rats were sacrificed,and myocardial tissues were obtained for pathological examination.Results Compared with group C,the serum AST,ALT,CK,CK-MB and cTnⅠ levels were significantly increased at T1,2 (P＜0.05),no significant changes were found in serum BUN and Cr levels (P＞0.05),the pathological changes of myocardium were aggravated in P and CoQ10 groups.Compared with group P,the serum AST,ALT,CK,CK-MB and cTnⅠ levels were significantly decreased at T1,2 (P＜0.05),no significant changes were found in serum BUN and Cr levels (P＞0.05),and the pathological changes of myocardium were significantly attenuated in group CoQ10.Conclusion Coenzyme Q10 can effectively prevent the development of propofol infusion syndrome in rats.

An LC-MS/MS method was developed to investigate the pharmacokinetic parameters in healthy Chi-nese volunteers following single and multiple oral administration of dimemorfan phosphate. In the Single-dose study,two-period and crossover study was conducted in 12 healthy volunteers,which were administered with single-dose of 10 mg or 40 mg of dimemorfan phosphate. And another 12 volunteers were administered with 20 mg. The values of AUC0-48 h,t1/2,and cmax were (11. 81 ±14. 46),(52. 60 ±96. 01 )and (34. 70 ±29. 59)ng. h/mL,(12. 11 ±2. 54),(12. 16 ±2. 01)and (12. 77 ±1. 27)h,and (0. 9653 ±0. 8178),(3. 150 ±3. 451)and (2. 167 ±1. 650)ng/mL for 10 mg,40 mg and 20 mg oral administration. The same 12 healthy volunteers as the group of single-dose of 20mg were participated in multiple-dose study,which were administered dimemorfan phos-phate 20 mg,three-time a day until the day-8,showed AUC0-48 h,t1/2,and cmax were (115. 9 ±135. 2)ng.h/mL, (11. 22 ±1. 61)h,and (7. 418 ±7. 010)ng/mL. The accumulation parameter Rcmax and RAUC was (3. 14 ±1. 34) and (3. 38 ±1. 22),respectively. Dose proportional of cmax and AUC was not concluded ranging from 10 mg to 40 mg after confidence interval criteria method. An accumulation was occurred after multiple -dose administra-tion with the consequence. And the results demonstrated significant individual difference.

Objective To explore the effects of dexmedetomidine on peripheral blood T lymphocyte proliferation and T lymphocyte subsets of juvenile rats with splenectomy.Methods Twenty-four healthy male Sprague-Dawley rats,weighing 130-150 g,aged six weeks were enrolled in this study.Half of the rats received splenectomy to make an immunosuppressive model,then they were randomly divided into 2 groups (n=6 each): splenectomy+normal saline group (group SN) and splenectomy+dexmedetomidine group(group SD).The another half of the rats without splenectomy were randomly divided into 2 groups: normal saline group(group S) and dexmedetomidine group(group D).After one week of normal feeding,normal saline 10 ml/kg was injected intraperitoneally (ip) in groups S and SN,dexmedetomidine 50 μg/kg was injected ip in groups D and SD respectively.Two hours after the injection,blood samples were collected.MTT was utilized to examine the peripheral blood T lymphocyte proliferative capability.T lymphocyte subsets CD4+,CD8+ were determined by flow cytometry.CD4+/CD8+ was calculated.Results Compared with group S,T lymphocyte proliferative capability,the percentages CD4+,CD8+ and CD4+/CD8+ ratio were significantly decreased in group SN (P<0.05);T lymphocyte proliferative capability in group D was decreased (P<0.05),but no significant changes was found in the percentages CD4+,CD8+ and CD4+/CD8+ ratio.Compared with the group D,T lymphocyte proliferative capability,the percentages CD4+,CD8+ and CD4+/CD8+ ratio in group SD were significantly decreased (P<0.05).Compared with the group SN,T lymphocyte proliferative capability in group SD was significantly decreased (P<0.05).Conclusion Cellular immune function of juvenile rats with or without splenectomy is suppressed by dexmedetomidine,and the suppressive function is more severe in splenectomy rats than that in normal juvenile rats.

The effect of realgar nanoparticles (NPs) on endogenous small molecules in rat kidney was analyzed by mass spectrometry-based metabolomics.The relationship between the changes of metabolites and the nephrotoxicity of realgar NPs was also discussed to provide a basis for the further toxicity study and the clinical application of realgar NPs.SD rats were randomly divided into seven groups,including control group,three doses (40,200,1 000 mg/kg) of relegar and realgar NPs groups,respectly.After 28 days of continuous intragastric administration,all rats were sacrificed and their serum and kidney samples were collected.The toxic effect of realgar NPs on kidney tissues were examined by biochemical analysis and histopathologic examination,which revealed a dosedependent nephrotoxicity induced by realgar NPs.The LC-MS and GC-MS analysis were performed for the subsequent metabolomics study.A series of 32 metabolites were found to be altered significandy in the kindey of realgar NPs treated rats,and might serve as potential nephrotoxicity biomarkers.The results of metabolic pathway analysis indicated that the nephrotoxicity of realgar NPs might be associated with the disorders of the amino acids and phosphatidic acid metabolism.

Background/Aims: Necrotizing pancreatitis (NP) presents a more severe clinical trajectory and increased mortality compared to edematous pancreatitis. Prompt identification of NP is vital for patient prognosis. A risk prediction model for NP among Chinese patients has been developed and validated to aid in early detection. Methods: A retrospective analysis was performed on 218 patients with acute pancreatitis (AP) to examine the association of various clinical variables with NP. The least absolute shrinkage and selection operator (LASSO) regression was utilized to refine variables and select predictors. Subsequently, a multivariate logistic regression was employed to construct a predictive nomogram. The model's accuracy was validated using bootstrap resampling (n=500) and its calibration assessed via a calibration curve. The model's clinical utility was evaluated through decision curve analysis. Results: Of the 28 potential predictors analyzed in 218 AP patients, the incidence of NP was 25.2%. LASSO regression identified 14 variables, with procalcitonin, triglyceride, white blood cell count at 48 hours post-admission, calcium at 48 hours post-admission, and hematocrit at 48 hours post-admission emerging as independent risk factors for NP. The resulting nomogram accurately predicted NP risk with an area under the curve of 0.822, sensitivity of 82.8%, and specificity of 76.4%. The bootstrap-validated area under the curve remained at 0.822 (95% confidence interval, 0.737 to 0.892). This model exhibited excellent calibration and demonstrated greater predictive efficacy and clinical utility for NP than APACHE II, Ranson, and BISAP. Conclusions We have developed a prediction nomogram of NP that is of great value in guiding clinical decision.

Background/Aims: Necrotizing pancreatitis (NP) presents a more severe clinical trajectory and increased mortality compared to edematous pancreatitis. Prompt identification of NP is vital for patient prognosis. A risk prediction model for NP among Chinese patients has been developed and validated to aid in early detection. Methods: A retrospective analysis was performed on 218 patients with acute pancreatitis (AP) to examine the association of various clinical variables with NP. The least absolute shrinkage and selection operator (LASSO) regression was utilized to refine variables and select predictors. Subsequently, a multivariate logistic regression was employed to construct a predictive nomogram. The model's accuracy was validated using bootstrap resampling (n=500) and its calibration assessed via a calibration curve. The model's clinical utility was evaluated through decision curve analysis. Results: Of the 28 potential predictors analyzed in 218 AP patients, the incidence of NP was 25.2%. LASSO regression identified 14 variables, with procalcitonin, triglyceride, white blood cell count at 48 hours post-admission, calcium at 48 hours post-admission, and hematocrit at 48 hours post-admission emerging as independent risk factors for NP. The resulting nomogram accurately predicted NP risk with an area under the curve of 0.822, sensitivity of 82.8%, and specificity of 76.4%. The bootstrap-validated area under the curve remained at 0.822 (95% confidence interval, 0.737 to 0.892). This model exhibited excellent calibration and demonstrated greater predictive efficacy and clinical utility for NP than APACHE II, Ranson, and BISAP. Conclusions We have developed a prediction nomogram of NP that is of great value in guiding clinical decision.

Background/Aims: Necrotizing pancreatitis (NP) presents a more severe clinical trajectory and increased mortality compared to edematous pancreatitis. Prompt identification of NP is vital for patient prognosis. A risk prediction model for NP among Chinese patients has been developed and validated to aid in early detection. Methods: A retrospective analysis was performed on 218 patients with acute pancreatitis (AP) to examine the association of various clinical variables with NP. The least absolute shrinkage and selection operator (LASSO) regression was utilized to refine variables and select predictors. Subsequently, a multivariate logistic regression was employed to construct a predictive nomogram. The model's accuracy was validated using bootstrap resampling (n=500) and its calibration assessed via a calibration curve. The model's clinical utility was evaluated through decision curve analysis. Results: Of the 28 potential predictors analyzed in 218 AP patients, the incidence of NP was 25.2%. LASSO regression identified 14 variables, with procalcitonin, triglyceride, white blood cell count at 48 hours post-admission, calcium at 48 hours post-admission, and hematocrit at 48 hours post-admission emerging as independent risk factors for NP. The resulting nomogram accurately predicted NP risk with an area under the curve of 0.822, sensitivity of 82.8%, and specificity of 76.4%. The bootstrap-validated area under the curve remained at 0.822 (95% confidence interval, 0.737 to 0.892). This model exhibited excellent calibration and demonstrated greater predictive efficacy and clinical utility for NP than APACHE II, Ranson, and BISAP. Conclusions We have developed a prediction nomogram of NP that is of great value in guiding clinical decision.

Background/Aims: Necrotizing pancreatitis (NP) presents a more severe clinical trajectory and increased mortality compared to edematous pancreatitis. Prompt identification of NP is vital for patient prognosis. A risk prediction model for NP among Chinese patients has been developed and validated to aid in early detection. Methods: A retrospective analysis was performed on 218 patients with acute pancreatitis (AP) to examine the association of various clinical variables with NP. The least absolute shrinkage and selection operator (LASSO) regression was utilized to refine variables and select predictors. Subsequently, a multivariate logistic regression was employed to construct a predictive nomogram. The model's accuracy was validated using bootstrap resampling (n=500) and its calibration assessed via a calibration curve. The model's clinical utility was evaluated through decision curve analysis. Results: Of the 28 potential predictors analyzed in 218 AP patients, the incidence of NP was 25.2%. LASSO regression identified 14 variables, with procalcitonin, triglyceride, white blood cell count at 48 hours post-admission, calcium at 48 hours post-admission, and hematocrit at 48 hours post-admission emerging as independent risk factors for NP. The resulting nomogram accurately predicted NP risk with an area under the curve of 0.822, sensitivity of 82.8%, and specificity of 76.4%. The bootstrap-validated area under the curve remained at 0.822 (95% confidence interval, 0.737 to 0.892). This model exhibited excellent calibration and demonstrated greater predictive efficacy and clinical utility for NP than APACHE II, Ranson, and BISAP. Conclusions We have developed a prediction nomogram of NP that is of great value in guiding clinical decision.

Objective To explore a surgical method which can not only remove the enormous breast tumor entirely, but also maintain the breast function and obtain satisfactory shape.Methods On the basis of traditional round block technique, we designed different form's outer ring and breast lateral Sshaped incision line according to the size of breast tumor and the degree of the papillae ptosis, trimmed away the epidermis between the two circles, a S-shape skin incision along lateral border of breast was made; after reaching to the capsule of tumor, we stripped off the tumor entirely along capsule surface, a large breast cavus subdermalis remained, and then made full use of the dermal-fat flap or dermal-fat breast flap to fill the cavity after tumor removal so that the shape of breast was reconstructed. Results All of the 5 cases maintained the breast function and satisfactory shape after surgery, no sensory obstacle and necrosis occurred in the papillae and areola, and the wound reached good healing. Up to 2 years of follow-up there was no recurrence of tumor was found. Conclusions The modified round block' technique is an i-deal method for removal of a huge breast tumor. The design is nimble and simple, and postoperative breast shape is satisfactory with light scar formation.

Objective To analyse the clinical efficacy of combined therapy of super-pulsed CO2 laser and traditional Chinese medicine on the prevention and treatment of post-traumatic hypertrophic scar, and to discuss effective comprehensive therapy for hypertrophic scars. Methods 108 cases of early post-traumatic hypertrophic scar were divided randomly into three groups with 36 cases each: combined treatment group of super-pulsed CO2 laser and traditional Chinese medicine (combined group), Chinese medicine treatment group (Chinese medicine group) and simple laser-treated group (laser group). They were regularly treated for 6 months and followed up for longer than 1 year. Clinical effects were evaluated according to scar property and subjective symptoms in patients. Results The total effective rate was 97.2 % and 86.1% in combined group and Chinese medicine group that were higher than 61.1 % in laser group. Obviously effective rate of the three methods were 55. 6 %, 27.8 % and 11. 1 %, respectively, and the difference of obviously effective rate between combined group and other two groups was significally different. Conclusion The method combined with super-pulsed CO2 laser and traditional Chinese medicine for prevention and treatment of post-traumatic hypertrophic scar has advantages of high obviously effective rate, long-term and stable effects, less complication, and it can achieve satisfactory cosmetic effects.