ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

Osteoarthritis (OA), the most prevalent joint disease of late life, is closely linked to cellular senescence. Previously, we found that the senescence of fibroblast-like synoviocytes (FLS) played an essential role in the degradation of cartilage. In this work, single-cell sequencing data further demonstrated that cartilage acidic protein 1 (CRTAC1) is a critical secreted factor of senescent FLS, which suppresses mitophagy and induces mitochondrial dysfunction by regulating SIRT3 expression. In vivo, deletion of SIRT3 in chondrocytes accelerated cartilage degradation and aggravated the progression of OA. Oppositely, intra-articular injection of adeno-associated virus expressing SIRT3 effectively alleviated OA progression in mice. Mechanistically, we demonstrated that elevated CRTAC1 could bind with NRF2 in chondrocytes, which subsequently suppresses the transcription of SIRT3 in vitro. In addition, SIRT3 reduction could promote the acetylation of FOXO3a and result in mitochondrial dysfunction, which finally contributes to the degradation of chondrocytes. To conclude, this work revealed the critical role and underlying mechanism of senescent FLSs-derived CRTAC1 in OA progression, which provided a potential strategy for the OA therapy.

Objective The aim of this study was to compare the effect of injection of indocyanine green(ICG)through peripheral vein and gallbladder in laparoscopic cholecystectomy(LC)of difficult gallbladder.Methods Patients with difficult gallbladder who underwent LC by the same surgical team from May to October 2023 in the Department of Hepatobiliary Surgery,the First Affiliated Hospital of Anhui University of Science and Technology were divided into three groups according to A random number table.Group A was injected ICG through peripheral vein before operation,group B was injected ICG through gallbladder during operation,and group C was the control group.The differences of operation time,intraoperative blood loss,hospitalization time,hospitalization cost and postoperative complications among the three groups were compared,and the effects of fluorescence mode cholangio-gram in group A and group B were compared.One-way analysis of variance was used to compare the normal distri-bution of the measurement data among groups,and LSD-t test was used to compare the two groups.The counting data was compared by chi-square test.The Boferroni test was appied to compare the two groups.Results There were no differences in length of stay,hospitalization cost and postoperative complications among the three groups(P＞0.05).The operative time and intraoperative blood loss of group A and group B were lower than those of group C(P＜0.05),but there was no difference between group A and group B(P＞0.05).The total imaging rate of the first three tubes of free gallbladder triangle(early stage)in group A was 41.67%,which was significantly lower than that in group B(63.89%)(P＜0.05).Conclusion ICG is beneficial for the identification of extrahepatic bile duct structures during LC of difficult gallbladder,and ICG injection through the gallbladder is helpful for the early identification of extrahepatic bile duct.

Objective To investigate the values of systemic inflammatory response index(SIRI),systemic immunoinflammatory index(SII),neutrophil count/lymphocyte count(NLR),platelet count/lymphocyte count(PLR)and lymphocyte count/monocyte count(LMR)in prediction of the severity of acute pancreatitis(AP)at early stage.Methods The clinical data on 666 AP patients admitted to the department of hepatobiliary surgery,the First Affiliated Hospital of Anhui University of Science and Technology,from January 2020 to November 2023 were retrospectively analyzed.The patients were divided into a mild group(MAP group,mild acute pancreatitis)and a non-mild group(non-MAP group,including moderate to severe acute pancreatitis).Blood routine and biochemical indicators were collected at admission and 24 hours after admission.The differences in SIRI,SII,NLR,PLR and LMR between the two groups were compared,so were the values of these five indexes in prediction of non-MAP.Results Of the 666 AP patients,507 were in the MAP group and 159 in the non-MAP group.In the non-MAP group,C-reactive protein(CRP),SIRI,SII,and NLR were higher than those in the MAP group 24 hours after admission,while LMR was lower than that in the MAP group,and the differences were statistically significant(P<0.05).CRP(HR=1.008,95%CI:1.004～1.012,P<0.05)and SIRI(HR=1.216,95%CI:1.029～1.436,P<0.05)were identified as the risk factors for the severity of AP.The ROC curve showed that the AUC and sensitivity of SIRI for predicting non-MAP 24 hours after admission were 0.718 and 75.00%,respectively,higher than those of SII,CRP,NLR,and LMR.Both SIRI and CRP had AUC values greater than 0.7,and the combined AUC was 0.788(0.738～0.837),the sensitivity was 86.00%and the specificity was 81.44%.Conclusions SIRI can be used as a predictor of disease severity in early AP patients,and combined with CRP can improve the predictive value.

Objective:To study the factors influencing repeatedly hospitalization in patients with acute pancreatitis (AP), and to analyse the predictive value of triglyceride for repeated hospitalization.Methods:The clinical data of 1 958 patients with AP treated at the First Affiliated Hospital of Anhui University of Science and Technology from January 2012 to April 2022 were analyzed. Of 1 733 AP patients who were enrolled, there were 1 000 males and 733 females, with mean ± s. d age being (49.4±16.4) years. Patients were grouped based on their ID numbers to determine their number(s) of hospitalization. Those who were admitted only once were included in the initial hospitalization group ( n=1 030), and those who were admitted twice or more were included in the repeated hospitalization group ( n=703). The factors influencing repeated hospitalization were analyzed by univariate analysis and multivariate logistic regression analysis. The predictive value of triglyceride for repeated hospitalization was evaluated by receiver operating characteristic (ROC) curve. Results:Multivariate logistic regression analysis showed that hypertriglyceridemia ( OR=1.445, 95% CI: 1.144-1.825, P=0.002) and biliary causes ( OR=3.184, 95% CI: 1.978-5.125, P<0.001) were independent risk factors for repeated hospitalization. When triglyceride <10.9 mmol/L, the prediction of AP patients without repeated hospitalization was 90.6%. The area under the ROC curve was 0.589, and the Yoden index was 0.170. Conclusion:Hypertriglyceridemia was risk factor for repeat hospitalization in AP patients and the efficacy of triglyceride in predicting repeat hospitalization in AP patients was good.

Objective:To investigate the effects of preoperative mammalian target of rapamycin(mTOR )inhibitor on partial nephrectomy for renal angiomyolipoma associated with tuberous sclerosis complex (TSC-RAML).Methods:A retrospective analysis was conducted on clinical data from 13 patients who were diagnosed with TSC-RAML and treated at Peking Union Medical College Hospital between August 2019 and July 2022. This cohort included 4 males and 9 females, with ages ranging from 22 to 66 years. All patients underwent partial nephrectomy, with 2 patients requiring two-stage surgeries due to bilateral RAMLs, resulting in a total of 15 surgeries being performed. Preoperative mTOR inhibitors, specifically everolimus (10 mg/d) or sirolimus (2 mg/d), were administered orally for at least 3 months prior to 7 of the surgeries. The effects of mTOR inhibitors on tumor size, tumor computed tomography attenuation value (CT value), and tumor CT enhancement were evaluated. The comparison of surgery-related clinical parameters was conducted between patients who received preoperative mTOR inhibitors and those who did not to assess the influences of mTOR inhibitors on surgery.Results:Compared to the baseline tumor, there was a significant reduction in tumor diameter after mTOR treatment [(6.4±3.1) cm vs. (8.7±3.9)cm], as well as in the CT value in both the unenhanced phase[(-18.63±48.73)HU vs. (-2.13±51.58)HU] and corticomedullary phase[(13.25±64.01)HU vs. (47.25±66.99)HU]. Additionally, tumor CT enhancement also decreased as compared with that before treatment [(31.88±18.20)HU vs. (49.38±20.63)HU]. Patients who received preoperative mTOR inhibitor showed a trend towards shorter operative time for removing per milliliter of tumor compared to those without preoperative mTOR inhibitor [1.06(0.18, 2.40) min/ml vs. 1.98(0.39, 5.03) min/ml] and so was the renal artery clamping time [0.17(0.03, 0.79) min/ml vs. 0.34(0.10, 1.71) min/ml]. Additionally, the amount of intraoperative bleeding for removing per milliliter of tumor was lower in patients with preoperative mTOR inhibitors compared to those without [0.72(0.19, 0.88) ml/ml vs. 1.69(0.59, 4.54) ml/ml].Conclusions:The administration of mTOR inhibitors before partial nephrectomy in patients with TSC-RAM have the potential to reduce tumor size and blood supply, as well as operative time, renal artery clamping time and intraoperative bleeding, which might contribute to surgery safety and preservation of renal function.

Objective:To analyze the clinical efficacy and safety of endoluminal treatment of complex renal artery aneurysm (RAA).Methods:The clinical data and follow-up results of 19 patients with complex RAA admitted to Renji Hospital, Shanghai Jiaotong University School of Medicine from November 2014 to September 2021 were retrospectively analyzed. Two patients were treated with simple spring coil embolization into the aneurysmal artery, 14 patients were treated with simple spring coil embolization of the aneurysmal cavity, and 3 patients were treated with stent-assisted + spring coil embolization technique. Based on the location of the aneurysm, RAA were classified into type Ⅰ, Ⅱ, and Ⅲ. 7 patients with type Ⅰ, 10 patients with type Ⅱ, and 2 patients with type Ⅲ were studied. Variance analysis was used to compare the differences in glomerular filtration rate(GFR) of the affected side when the tumor was located at different locations, and Pearson was used to analyze the correlation between the number of coils implanted and the size of the tumor and GFR.Results:Ten of the 19 patients who were underwent successful endoluminal intervention. The average size of the patients′ aneurysms was (20.89±6.65) mm, and the average number of spring coils implanted was 8.22±3.08. The preoperative and postoperative serum creatinine were in the normal range, and no RAA tumor enlargement or recurrence was found during the follow-up period. The postoperative GFR was abnormal in patients with type Ⅰ, type Ⅱ, and type Ⅲ renal aneurysms, and the mean GFR value differed among the three types of patients( P=0.003). There was a negative correlation between the postoperative GFR values of the affected kidney and the number of spring coils implanted ( P=0.047), and no significant relationship between GFR and aneurysm size. Conclusion:The endovascular technique is an effective and safe means of treating complex RAA.

Objective:To explore the feasibility of deep learning technology for renal artery recognition in retroperitoneal laparoscopic renal surgery videos.Methods:From January 2020 to July 2021, the video data of 87 cases of laparoscopic retroperitoneal nephrectomy, including radical nephrectomy, partial nephrectomy, and hemiurorectomy, were retrospectively analyzed. Two urological surgeons screened video clips containing renal arteries. After frame extraction, annotation, review, and proofreading, the labeled targets were divided into training set and test set by the random number table in a ratio of 4∶1. The training set was used to train the neural network model. The test set was used to test the ability of the neural network to identify the renal artery in scenes with different difficulties, which was uniformly transmitted to the YOLOv3 convolutional neural network model for training. According to the opinion of two senior doctors, the test set was divided into high, medium, and low discrimination of renal artery and surrounding tissue. High identification means a clean renal artery and a large exposed area. For middle recognition degree, the renal artery had a certain degree of blood immersion, and the exposed area was medium. Low identification means that the exposed area of the renal artery was small, often located at the edge of the lens, and the blood immersion was severe, which may lead to lens blurring. In the surgical video, the annotator annotated the renal artery truth box frame by frame. After normalization and preprocessing, all images were input into the neural network model for training. The neural network output the renal artery prediction box, and if the overlap ratio (IOU) with the true value box was higher than the set threshold, it was judged that the prediction was correct. The neural network test results of the test set were recorded, and the sensitivity and accuracy were calculated according to IOU.Results:In the training set, 1 149 targets of 13 videos had high recognition degree, 1 891 targets of 17 videos had medium recognition degree, and 349 targets of 18 videos had low recognition degree. In the test set, 267 targets in 9 videos had high recognition degree, 519 targets in 11 videos had medium recognition degree, and 349 targets in 18 videos had low recognition degree. When the IOU threshold was 0.1, the sensitivity and accuracy were 52.78% and 82.50%, respectively. When the IOU threshold was 0.5, the sensitivity and accuracy were 37.80% and 59.10%, respectively. When the IOU threshold was 0.1, the sensitivity and accuracy of high, medium and low recognition groups were 89.14% and 87.82%, 45.86% and 78.03%, 32.95%, and 76.67%, respectively. The frame rate of the YOLOv3 algorithm in real-time surgery video was ≥15 frames/second. The false detection rate and missed detection rate of neural network for renal artery identification in laparoscopic renal surgery video were 47.22% and 17.49%, respectively (IOU=0.1). The leading causes of false detection were similar tissue and reflective light. The main reasons for missed detection were image blurring, blood dipping, dark light, fascia interference, or instrument occlusion, etc.Conclusions:Deep learning-based renal artery recognition technology is feasible. It may assist the surgeon in quickly identifying and protecting the renal artery during the operation and improving the safety of surgery.