Objective To analyze the detection efficiency of p16INK4a protein combined with human papillomavirus and liquid-based cytology(LCT)in the screening of cervical precancerous lesions,and to provide a basis for cervical cancer preven-tion and treatment.Methods The results of p16INK4a staining of cervical epithelial cells,human papillomavirus testing and cer-vical cytology were analyzed in 139 inpatients at Guangzhou Women's and Children's Medical Center between January 2019 and December 2020.Of them,there were 111 patients with cervical intraepithelial neoplasia(CIN)and 28 cases of cervical inflam-matory disease.The efficacy of the three methods alone and in combination to screen for CIN lesions was compared.Results In the detection of CIN patients,the sensitivity of p16INK4a,microfluidic microarray and cervical cytology for detecting CIN and a-bove lesions was 91.89% ,94.59% and82.88% ,with specificity of 57.14% ,17.86% and46.43% ,and AUC of 0.75,0.56 and 0.65,respectively;while the sensitivity of"p16INK4a+LCT","p16INK4a+hrHPV","LCT+hrHPV"and their sen-sitivity were 96.40% ,97.30% ,94.59% and 99.10% ,their specificity was 85.71% ,92.86% ,89.29% and 92.86% ,and the AUC was 0.91,0.95,0.92 and 0.96,respectively.Conclusion The combined p16INK4a and hrHPV test helps to improve diagnostic accuracy and early detection,thus allowing for earlier intervention or treatment.This combined application allows for more accurate identification of low-grade and high-grade cervical intraepithelial neoplasia,providing more information for indi-vidualized patient management.

Aim To analyze serum exosome sequencing data from patients with coronary heart disease(CHD)and normal subjects by using bioinformatics-related methods to construct a competitive endogenous ln-cRNA-miRNA-mRNA(ceRNA)regulatory network,to mine the predicted potential Chinese medicines,and to perform preliminary validation of the biological processes and core Chinese medicines involved in the ceRNA network.Methods We used exoRbase data-base to obtain the expression matrix of differential genes,combined with the raw letter method to con-struct the ceRNA network,and performed GO analysis and KEGG analysis on the differential mRNAs in the network,and used COREMINE database to predict the biological processes and core target genes involved in the ceRNA network,and to screen the herbal medi-cines with potential therapeutic effects;AVECs oxida-tive damage cell model was constructed in vitro,and the cytoskeleton,tube-forming function,cell prolifera-tion,LDH leakage rate,ROS level and p-AKT,AKT,p-PI3K and AKT protein expression were examined to verify the action pathways and targets of the core Chi-nese medicine Salvia miltiorrhiza for the treatment of coronary heart disease.Results Compared with nor-mal subjects,395 mRNAs,80 miRNAs,60 lncRNA differential genes,and 80 miRNAs were predicted in serum exosomes of coronary heart disease,and the constructed ceRNA sub-network,mainly consisted of 21 lncRNAs,80 miRNAs,and 82 mRNAs;AKT1,VEGFA,IL1B and other genes in the network.The abnormally expressed mRNAs were involved in biologi-cal processes such as oxidative stress and signaling pathways such as PI3 K/Akt,and Dan Shen,Chuanx-iong and Panax notoginseng were most closely related to exosome-mediated biological processes and core genes in coronary heart disease.The active ingredients of tanshinone ⅡA,the core Chinese medicine,could pro-mote vascular endothelial cell proliferation,tube for-mation,skeleton formation and repair,reduce LDH leakage rate and ROS level,and promote the expres-sion of p-AKT and p-PI3K protein.Conclusion There is a complex ceRNA regulatory network trans-duction in coronary artery disease serum exosomes,and traditional Chinese medicine can be used to treat CHD through multi-target intervention,and Dan Shen,Chuanxiong and Panax notoginseng are expected to be candidate sources of traditional Chinese medicine,a-mong which the active ingredient of Dan Shen,tanshi-none ⅡA,activates PI3 K/Akt signaling pathway to play a protective role against oxidative stress-injured cells,and treats CHD.

The biological clock(also known as the circadian rhythm)is the fundamental reliance for all organisms on Earth to adapt and survive in the Earth's rotation environment.Circadian rhythm is the most basic regulatory mechanism of life activities,and plays a key role in maintaining normal physiological and biochemical homeostasis,disease occurrence and treatment.Recent studies have shown that the biologi-cal clock plays an important role in the development of oral tissues and in the occurrence and treatment of oral diseases.Since there is cur-rently no guiding literature on the research methods of biological clock in stomatology,researchers mainly conduct research based on pub-lished references,which has led to controversy about the research methods of biological clock in stomatology,and there are many confusions about how to rationally apply the research methods of circadia rhythms.In view of this,this expert consensus summarizes the characteristics of the biological clock and analyzes the shortcomings of the current biological clock research in stomatology,and organizes relevant experts to summarize and recommend 10 principles as a reference for the rational implementation of the biological clock in stomatology research.

Objective:An artificial intelligence(AI)model based on deep learning algorithms was constructed using clinical data to evaluate the feasibility of predicting the efficacy of neoadjuvant immunotherapy combined with chemotherapy for non-small cell lung cancer(NSCLC).Methods:Clinical and pathological data of 132 patients with NSCLC who were diagnosed and treated with neoadjuvant immunotherapy combined with chemotherapy between January 2020 and January 2024 at Beijing Chest Hospital/Beijing Tuberculosis and Thoracic Tumor Research Institute were collected.Statistical analysis was conducted to identify the main factors affecting the efficacy of neoadjuvant im-munotherapy combined with chemotherapy.Variables were selected based on statistical results and relevant literature,and a variable data-set was constructed.A deep learning model was established using a multi-layer perceptron(MLP)algorithm with 5-fold cross-validation,and the performance of the model was evaluated using receiver operating characteristic curve(ROC).Results:Among the 132 patients,univari-ate analysis demonstrated statistically significant differences in sex(P=0.020),smoking history(P=0.004),carcinoembryonic antigen(CEA)(P=0.038)and programmed death-ligand 1(PD-L1)≥1%(P=0.038)between the major pathological response(MPR)and non-MPR groups.Patients in the complete pathological response(pCR)group and non-pCR groups showed statistical differences in tumor size(P=0.007)and CEA levels(P=0.010).After 5-fold cross-validation,the average area under the curve(AUC)of the MPR prediction model in the validation and test sets was 0.72 and 0.71,respectively.Conclusions:The deep learning model can effectively predict the efficacy of neoadjuvant chemoim-munotherapy in patients with NSCLC.

Objective:To establish a set of artificial intelligence (AI) verification rules for blood routine analysis.Methods:Blood routine analysis data of 18 474 hospitalized patients from the First Hospital of Jilin University during August 1st to 31st, 2019, were collected as training group for establishment of the AI verification rules,and the corresponding patient age, microscopic examination results, and clinical diagnosis information were collected. 92 laboratory parameters, including blood analysis report parameters, research parameters and alarm information, were used as candidate conditions for AI audit rules; manual verification combining microscopy was considered as standard, marked whether it was passed or blocked. Using decision tree algorithm, AI audit rules are initially established through high-intensity, multi-round and five-fold cross-validation and AI verification rules were optimized by setting important mandatory cases. The performance of AI verification rules was evaluated by comparing the false negative rate, precision rate, recall rate, F1 score, and pass rate with that of the current autoverification rules using Chi-square test. Another cohort of blood routine analysis data of 12 475 hospitalized patients in the First Hospital of Jilin University during November 1sr to 31st, 2023, were collected as validation group for validation of AI verification rules, which underwent simulated verification via the preliminary AI rules, thus performance of AI rules were analyzed by the above indicators. Results:AI verification rules consist of 15 rules and 17 parameters and do distinguish numeric and morphological abnormalities. Compared with auto-verification rules, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score of AI rules in training group were 22.7%, 1.6%, 74.5%, 1.3%, 75.7%, 97.2%, 93.5%, 94.7%, 94.1, respectively.All of them were better than auto-verification rules, and the difference was statistically significant ( P<0.001), and with no important case missed. In validation group, the true positive rate, the false positive rate, the true negative rate, the false negative rate, the pass rate, the accuracy, the precision rate, the recall rate and F1 score were 19.2%, 8.2%, 70.1%, 2.5%, 72.6%, 89.2%, 70.0%, 88.3%, 78.1, respectively, Compared with the auto-verification rules, The false negative rate was lower, the false positive rate and the recall rate were slightly higher, and the difference was statistically significant ( P<0.001). Conclusion:A set of the AI verification rules are established and verified by using decision tree algorithm of machine learning, which can identify, intercept and prompt abnormal results stably, and is moresimple, highly efficient and more accurate in the report of blood analysis test results compared with auto-vefication.

This study aims to investigate the molecular mechanism of tanshinone Ⅱ_(A )(TaⅡ_A) combined with endothelial progenitor cells-derived exosomes(EPCs-exos) in protecting the aortic vascular endothelial cells(AVECs) from oxidative damage via the phosphatidylinositol 3 kinase(PI3K)/protein kinase B(Akt) pathway. The AVECs induced by 1-palmitoyl-2-(5'-oxovaleroyl)-sn-glycero-3-phosphocholine(POVPC) were randomly divided into model, TaⅡ_A, EPCs-exos, and TaⅡ_A+EPCs-exos groups, and the normal cells were taken as the control group. The cell counting kit-8(CCK-8) was used to examine the cell proliferation. The lactate dehydrogenase(LDH) cytotoxicity assay kit, Matrigel assay, DCFH-DA fluorescent probe, and laser confocal microscopy were employed to examine the LDH release, tube-forming ability, cellular reactive oxygen species(ROS) level, and endothelial cell skeleton morphology, respectively. The enzyme-linked immunosorbent assay was employed to measure the expression of interleukin(IL)-1β, IL-6, and tumor necrosis factor(TNF)-α. Real-time fluorescence quantitative PCR(qRT-PCR) and Western blot were employed to determine the mRNA and protein levels, respectively, of PI3K and Akt. Compared with the control group, the model group showed decreased cell proliferation and tube-forming ability, increased LDH release, elevated ROS level, obvious cytoskeletal disruption, increased expression of IL-1β, IL-6, and TNF-α, and down-regulated mRNA and protein levels of PI3K and Akt. Compared with the model group, TaⅡ_A or EPCs-exos alone increased the cell proliferation and tube-forming ability, reduced LDH release, lowered the ROS level, repaired the damaged skeleton, decreased the expression of IL-1β, IL-6, and TNF-α, and up-regulated the mRNA and protein levels of PI3K and Akt. TaⅡ_A+EPCs-exos outperformed TaⅡ_A or EPCs-exos alone in regulating the above indexes. The results demonstrated that TaⅡ_A and EPCs-exos exerted a protective effect on POVPC-induced AVECs by activating the PI3K/Akt pathway, and the combination of the two had stronger therapeutic effect.
Proto-Oncogene Proteins c-akt/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; Signal Transduction ; Reactive Oxygen Species/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Interleukin-6/metabolism* ; Endothelium, Vascular ; Oxidative Stress ; Endothelial Progenitor Cells ; RNA, Messenger/metabolism* ; Abietanes

Objective:To analyze the metabolic mechanism of papillary thyroid cancer(PTC) in normal and Hashimoto′s thyroiditis(HT) background, and to explore the relationship between HT and PTC.Methods:This study included a matched sample set collected from Tianjin Medical University General Hospital between January 2018 and January 2019, consisting of PTC and paracancular tissue from 31 cases with coexisting HT(HT group), and 30 cases without(NC group), all confirmed pathologically following thyroidectomy. The ultra-high performance liquid chromatography combined with mixed four-stage poles time-of-flight mass spectrometry(UPLC-Q-TOF-MS) was employed to acquire data from the samples. Metabolite differences between the two groups were compared, aiming to identify distinct metabolic mechanisms of PTC under different backgrounds. Metabolic pathway analysis was conducted using Metabo-Analyst 5.0 to explore relevant metabolic pathways.Results:The HT group and NC group shared 7 common differentially expressed metabolites, including arginine, glutamic acid, cysteine, citric acid, malic acid, uracil, and taurine. Logistic regression model combined with receiver operating characteristic(ROC) analysis of these 7 biomarkers yielded excellent discriminatory capacity for PTC(area under ROC curve of HT group and NC group were 0.867 and 0.973, respectively). The common metabolic pathways were taurine and hypotaurine metabolism, arginine biosynthesis, alanine, aspartic acid and glutamic acid metabolism, arginine and proline metabolism, and glutamine and glutamic acid metabolism. The specific metabolic pathways in HT group were aminoacyl tRNA biosynthesis, glycine, serine, and threonine metabolism.Conclusion:The metabolic profiles of thyroid cancer exhibit significant differences between cases with normal backgrounds and those with HT. The specific pathways for PTC and HT are aminoacyl tRNA biosynthesis and the metabolism of glycine, serine, and threonine.

OBJECTIVE To optimize the extraction technology fo r phenylethanol glycosides from Cistanche deserticola by natural deep eutectic solvents （NADESs），and to provide reference for the development and utilization of C. deserticola . METHODS The optimal NADESs was selected using total extraction efficiency of echinacoside ，acteoside and isoacteoside as indexes. Based on single factor test ，response surface methodology was used to select the optimal NADESs molar ratio ，the optimal NADESs water content ，the optimal liquid-solid ratio ；and the results were optimized by genetic algorithm . Using vitamin C （VC） as positive control ，the extraction effects of NADESs and traditional solvent （50％ methanol）were compared in respects of extraction efficiency and antioxidant activities. RESULTS The optimal extraction solution was NADES- 11 composed of 1， 4-butanediol and malonic acid. The optimal extraction technology was as follows as the molar ratio of 1，4-butanediol-malonic acid was 1 ∶ 2.5，water content of NADES- 11 was 18％，liquid-solid ratio was 30 mL/g，extraction time was 30 min and extraction temperature was 30 ℃. The extraction efficiency of NADES- 11 was significantly higher than that of 50％ methanol（P＜0.05）. IC 50 values of NADES- 11 extract（261.17 and 744.34 µg/mL）to 1，1-diphenyl-2-trinitrophenylhydrazine radical and hydroxyl radical were all lower than those of 50％ methanol extract （420.97 and 1 175.12 μg/mL）. Ascorbic acid equivalent antioxidant capacity of Δ 基金项目 内蒙古自治区科技创新引导项目（No.00120209）；内 NADES-11 extract（17.19 and 360.80 mg VC/g ）was higher 蒙古自治区自然科学基金资助项目 （No.2021MS08011）；内蒙古自治 than that of 50％ methanol extract （10.67 and 228.54 mg 区医疗卫生科技计划项目（No.202201367）；包头医学院“花蕾计划”项 VC/g）. CONCLUSIONS The optimized extraction process of 目（No.HL2021046） phenylethanol glycosides from C. deserticola using NADESs is ＊第一作者 硕士研究生。研究方向：中蒙药药效成分。E-mail： environmental，stable and feasible. dongjiani369@126.com

PURPOSE: To investigate the clinical value of urine interleukin-18 (IL-8), neutrophil gelatinase-associated lipocalin (NGAL) and kidney injury molecule-1 (KIM-1) for the early diagnosis of acute kidney injury (AKI) in patients with ureteroscopic lithotripsy (URL) related urosepsis. METHODS: A retrospective study was carried out in 157 patients with urosepsis after URL. The patients were divided into AKI group and non-AKI group according to the Kidigo guideline and urine IL-8, NGAL and KIM-1 levels were detected by enzyme-linked immunosorbent assay at 0, 4, 12, 24 and 48 h after the surgery. Receiver operating characteristic curve (ROC) was used to evaluate the diagnostic value of these three biomarkers for postoperative AKI. RESULTS: The level of urine IL-8, NGAL and KIM-1 in AKI group was significantly higher than that in non-AKI group at 4, 12, 24 and 48 h (p < 0.01). The ROC analysis showed the combined detection of urine IL-8, NGAL and KIM-1 at 12 h had a larger area under curve (AUC) than a single marker (0.997, 95% CI: 0.991-0.998), and the sensitivity and specificity were 98.2% and 96.7%, respectively. Pearson correlation analysis showed that the levels of urine NGAL at 4, 12, 24 and 48 h in AKI patients were positively correlated with the levels of urine KIM-1 and IL-18 (p < 0.01). CONCLUSION AKI could be quickly recognized by the elevated level of urine IL-8, NGAL and KIM-1 in patients with URL-related urosepsis. Combined detection of the three urine biomarkers at 12 h after surgery had a better diagnostic performance, which may be an important reference for the early diagnosis of AKI.
Acute Kidney Injury/etiology* ; Biomarkers ; Early Diagnosis ; Hepatitis A Virus Cellular Receptor 1 ; Humans ; Interleukin-18 ; Interleukin-8 ; Lipocalin-2 ; Lithotripsy ; Retrospective Studies ; Ureteroscopy

Acupoint selection rules of neurogenic dysphagia treated with acupuncture and moxibustion from pre-Qin to late Qing Dynasty in were analyzed based on data mining. The literature regarding acupuncture and moxibustion for neurogenic dysphagia was searched and screened according to the inclusion and exclusion criteria in (5th Edition), the prescriptions were extracted according to the principle of acupoint extraction.The SPSS 21.0 and Clementine 12.0 were used to perform the cluster analysis and association rule analysis.A total of 191 acupuncture and moxibustion prescriptions were screened and extracted，including 45 acupoints. The top 5 acupoints of acupuncture and moxibustion for neurogenic dysphagia in frequency were Jiache (ST 6), Dicang (ST 4), Lieque (LU 7), Lianquan (CV 23), Shuigou (GV 26). The most involved meridians were the stomach meridian, the governor vessel and the conception vessel. The main acupoints were distributed in the scalp face neck and upper limbs. The most frequently used specific acupoints was crossing points,next was eight confluence points. There were 11 acupoint combinations with strong association according to the association rule analysis, and the top one acupoint combination was Hegu (LI 4)-Jiache (ST 6). There were 9 acupoint cluster groups according to the cluster analysis. Hegu (LI 4), Jiache (ST 6), Dicang (ST 4), Shuigou (GV 26) and Chengjiang (CV 24) were core acupoints for neurogenic dysphagia treated with acupuncture and moxibustion in ancient times, besides，selecting proximal and distal acupoints and selecting acupoints according to symptoms were emphasized.