Objective To investigate the role and regulatory mechanism of LINC00657 in the progression of cervical cancer. Methods Bioinformatics analysis predicted potential binding sites between LINC00657 and miR-30a-5p and between miR-30a-5p and Skp2. These sites were verified by using RNA immunoprecipitation and dual-luciferase reporter experiments. LINC00657, miR-30a-5p, and Skp2 mRNA expression levels in cervical cancer tissues and cell lines were assessed by utilizing RT-qPCR. Western blot analysis was employed to examine the protein levels of Skp2 in cells and subcutaneous xenograft tumor models in nude mice. Immunohistochemistry was applied to analyze Skp2 expression in animal tissues. The cellular processes of cervical cancer cell lines were evaluated through CCK-8, scratch, and Transwell assays. Results LINC00657 and Skp2 presented binding sites for miR-30a-5p. In cervical cancer, LINC00657 and Skp2 showed high expression levels (P<0.05), whereas miR-30a-5p displayed low expression (P<0.05). Functional experiments demonstrated that linc00657 upregulates Skp2 expression, a process that is dependent on its sequestration of miR-30a-5p. Conclusion LINC00657 promoted the malignant progression of cervical cancer by upregulating Skp2 expression through specifically sequestering miR-30a-5p, thereby relieving its inhibitory effect on the target gene Skp2.

Objective In order to understand the current resistance status of Aedes albopictus(Ae. albopictus) adult population to commonly used insecticides and the resistance dynamics development in Zhejiang Province and provide a theoretical basis for the scientific and rational use of hygienic insecticides. Methods Resistance determination was carried out using the diagnostic dose method(GB/T 26347-2010)recommended by WHO in the adult mosquito contact cylinder method to monitor the resistance of Ae. albopictus field populations in 11 cities and districts in Zhejiang Province in 2024. Results The monitoring result showed that adult Ae. albopictus in 11 areas were resistant or suspected resistant populations to both cis-cypermethrin and permethrin; suspected and resistant populations to the organophosphate insecticide malathion were as high as 81.82%; while suspected resistance to the carbamate insecticide residual carbofuran accounted for 45.45%, and the rest of the monitoring sites were sensitive to it. Conclusions The result suggest that the generalized resistance of Ae. albopictus populations to pyrethroids and organophosphorus insecticides in the field in Zhejiang Province needs to be highly emphasized. In future mosquito vector and mosquito-borne disease control, insecticides should be selected based on the resistance monitoring information, while following scientific guidelines for insecticide use.

OBJECTIVE: To evaluate the immediate effect of Kuanxiong Aerosol (KXA) on perioperative coronary microcirculation in patients with unstable angina (UA) suffering from elective percutaneous coronary intervention (PCI). METHODS: From February 2021 to July 2023, UA inpatients who underwent PCI alone in the left anterior descending (LAD) branch were included. Random numbers were generated to divide patients into the trial group and the control group at a ratio of 1:1. The index of coronary microcirculation resistance (IMR) was measured before PCI, and the trial group was given two sprays of KXA, while the control group was not given. IMR was measured again after PCI, cardiac troponin I (cTnI) and creatine kinase isoenzyme-MB (CK-MB) were detected before and 24 h after surgery, and major cardiovascular adverse events (MACEs) were recorded for 30 days. The data statistics and analysis personnel were blinded. RESULTS: Totally 859 patients were screened, and 62 of them were involved into this study. Finally, 1 patient in the trial group failed to complete the post-PCI IMR and was excluded, 30 patients were included for data analysis, while 31 patients in the control group were enrolled in data analysis. There was no significant difference in baseline data (age, gender, risk factors, previous history, biochemical index, and drug therapy, etc.) between the two groups. In addition, differences in IMR, cTnI and CK-MB were not statistically significant between the two groups before surgery. After PCI, the IMR level of the trial group was significantly lower than that of the control group (19.56 ± 14.37 vs. 27.15 ± 15.03, P=0.048). Besides, the incidence of perioperative myocardial injury (PMI) was lower in the trial group, but the difference was not statistically significant (6.67% vs. 16.13%, P=0.425). No MACEs were reported in either group. CONCLUSIONS KXA has the potential of improving coronary microvascular dysfunction. This study provides reference for the application of KXA in UA patients undergoing elective PCI. (Registration No. ChiCTR2300069831).
Humans ; Percutaneous Coronary Intervention ; Male ; Microcirculation/drug effects* ; Female ; Angina, Unstable/physiopathology* ; Pilot Projects ; Middle Aged ; Aged ; Drugs, Chinese Herbal/pharmacology* ; Aerosols ; Troponin I/blood* ; Coronary Circulation/drug effects* ; Elective Surgical Procedures

Objective : To investigate the role of endoplasmic reticulum stress in the occurrence and development of fatty liver induced by high fat. Methods : In the high-fat Drosophila model, the high-fat group was fed with high-fat medium, while the control group was fed with normal medium; in the mouse fatty liver model, the high-fat group was fed with high-fat diet, and the control group was fed with normal diet; in the HepG2 cell steatosis model, the high-fat group was induced by palmitic acid(PA), and the control group was cultured with DMEM. The fat body size of the third instar larvae of Drosophila melanogaster was photographed. Steatosis in mice liver and HepG2 cells was observed by H&E and Oil Red staining. The expression levels of ATF6, Bip and CHOP in the third instar larvae, liver tissues of mice and HepG2 cells were analyzed by quantitative real-time polymerase chain reaction(qPCR) and Western blot. Results : In Drosophila model, fat body and fat storage were obviously increased in high fat fed flies when compared with control group. The formation of liver fat droplets and cells vacuolation were confirmed by H&E and Oil Red staining in mice livers fed with high fat and HepG2 cells with palmitic acid treatment. The expression levels of ATF6, Bip and CHOP were significantly increased in third instar larvae and mice livers fed with high fat and palmitic acid treated HepG2 cells with palmitic acid treatment. Conclusion High fat may induce the occurrence and development of hepatic steatosis by activating endoplasmic reticulum stress.

Objective:To analyze the influencing factors of postoperative intestinal adhesion in patients undergoing laparoscopic cholecystectomy(LC),and to construct a nomogram prediction model based on this.Methods:A total of 265 patients who underwent LC in our hospital from November 2021 to March 2025 were retrospectively selected and randomly divided into a training set(185 cases)and a validation set(80 cases)according to the ratio of 7∶3.According to the presence or absence of postoperative intestinal adhesion,185 patients in the training set were divided into occur-rence group(28 cases)and non-occurrence group(157 cases).In the validation set,13 cases occurred and 67 cases did not occur.The clinical data of patients were collected to analyze the influencing factors of postoperative intestinal adhe-sion,and a nomogram model was constructed based on this.The receiver operating characteristic(ROC)curve was used to analyze the predictive efficacy of the prediction model on the risk of postoperative intestinal adhesion.Decision curve analysis(DCA)was used to analyze the clinical benefit of the prediction model.Result:The proportion of patients aged≥65 years,complicated with diabetes,indwelling drainage tube,residual abdominal infection,and WBC level in the occurrence group were higher than those in the non-occurrence group(P<0.05).Logistic regression analysis showed that age(OR=3.025,95%CI:1.453-6.296),diabetes(OR=3.836,95%CI:1.557-9.450),indwelling drainage tube(OR=5.312,95%CI:1.898-14.864)and residual abdominal infection(OR=6.174,95%CI:2.914-13.079)were independent influencing factors for postoperative intestinal adhesion(P<0.05).The corresponding risk rate of the nomogram model based on Logistic results ranged from 0.10 to 0.80,and the C-index was 0.842(95%CI:0.765-0.919).The calibration curve of predicting postoperative intestinal adhesion was close to the ideal curve(P>0.05).The ROC of the training set showed that the sensitivity and specificity of the model in predicting postoperative intestinal adhesion were 85.70%and 88.50%,respectively,and the area under the curve(AUC)was 0.882(P<0.05).In the validation set,the sensitivity,speci-ficity and AUC of ROC curve were 81.30%,84.10%and 0.860(P<0.05),respectively.DCA curve showed that the pre-diction model could obtain the maximum clinical benefit at the threshold probability of 0-0.23.Conclusion:The pre-diction model based on age,diabetes,indwelling drainage tube and residual abdominal infection has a good predictive value for the risk of intestinal adhesion after LC.

Objective:To analyze the influencing factors of postoperative intestinal adhesion in patients undergoing laparoscopic cholecystectomy(LC),and to construct a nomogram prediction model based on this.Methods:A total of 265 patients who underwent LC in our hospital from November 2021 to March 2025 were retrospectively selected and randomly divided into a training set(185 cases)and a validation set(80 cases)according to the ratio of 7∶3.According to the presence or absence of postoperative intestinal adhesion,185 patients in the training set were divided into occur-rence group(28 cases)and non-occurrence group(157 cases).In the validation set,13 cases occurred and 67 cases did not occur.The clinical data of patients were collected to analyze the influencing factors of postoperative intestinal adhe-sion,and a nomogram model was constructed based on this.The receiver operating characteristic(ROC)curve was used to analyze the predictive efficacy of the prediction model on the risk of postoperative intestinal adhesion.Decision curve analysis(DCA)was used to analyze the clinical benefit of the prediction model.Result:The proportion of patients aged≥65 years,complicated with diabetes,indwelling drainage tube,residual abdominal infection,and WBC level in the occurrence group were higher than those in the non-occurrence group(P<0.05).Logistic regression analysis showed that age(OR=3.025,95%CI:1.453-6.296),diabetes(OR=3.836,95%CI:1.557-9.450),indwelling drainage tube(OR=5.312,95%CI:1.898-14.864)and residual abdominal infection(OR=6.174,95%CI:2.914-13.079)were independent influencing factors for postoperative intestinal adhesion(P<0.05).The corresponding risk rate of the nomogram model based on Logistic results ranged from 0.10 to 0.80,and the C-index was 0.842(95%CI:0.765-0.919).The calibration curve of predicting postoperative intestinal adhesion was close to the ideal curve(P>0.05).The ROC of the training set showed that the sensitivity and specificity of the model in predicting postoperative intestinal adhesion were 85.70%and 88.50%,respectively,and the area under the curve(AUC)was 0.882(P<0.05).In the validation set,the sensitivity,speci-ficity and AUC of ROC curve were 81.30%,84.10%and 0.860(P<0.05),respectively.DCA curve showed that the pre-diction model could obtain the maximum clinical benefit at the threshold probability of 0-0.23.Conclusion:The pre-diction model based on age,diabetes,indwelling drainage tube and residual abdominal infection has a good predictive value for the risk of intestinal adhesion after LC.

OBJECTIVE: This study aimed to evaluate the relationships of white blood cell (WBC) count, platelet (PLT) count, and PLT-to-WBC ratio (PWR) with muscle mass in Chinese older adults. METHODS: This cross-sectional analysis involved 4,033 Chinese older adults aged ≥ 65 years from the Healthy Ageing and Biomarkers Cohort Study. Muscle mass and total skeletal muscle mass index (TSMI) were measured by bioelectric impedance analysis. WBC, PLT, and PWR were measured using standard methods. Multivariate linear regression was used to examine the associations of WBC count, PLT count, and PWR with TSMI. RESULTS: High WBC count, PLT count, and PWR were associated with low TSMI, with coefficients of -0.0091 (95% confidence interval [ CI]: -0.0142 to -0.0041), -0.0119 (95% CI: -0.0170 to -0.0068), and -0.0051 (95% CI: -0.0102 to -0.0001). The associations between the three inflammatory indices and TSMI were linear. Stratified analyses indicated that the relationship between inflammatory markers and TSMI was more evident in male participants and in individuals aged < 80 years than in their counterparts. CONCLUSION Elevated WBC count, PLT count, and PWR correlated with muscle mass loss. This study highlights the importance of regular monitoring of inflammatory markers as a potential strategy for the screening and management of sarcopenia in older adults.
Humans ; Aged ; Male ; Female ; China ; Leukocyte Count ; Cross-Sectional Studies ; Platelet Count ; Aged, 80 and over ; Muscle, Skeletal/anatomy & histology* ; Independent Living ; Blood Platelets ; Leukocytes ; Sarcopenia

As a new generation of time-of-flight mass spectrometry,multiple-reflection time-of-flight mass spectrometry(MR-TOF-MS)has been increasingly applied in the fields such as nuclear physics,chemistry,and biology due to its ultra-high resolution and rapid analysis capabilities.However,the analytical performance of MR-TOF-MS largely depends on the ion bunch state entering the mass analyzer.In this study,a rectangular ion trap(RIT)was developed,designed and processed using printed circuit board technology,as an ion accumulating and focusing device for MR-TOF mass analyzer.Compared to traditional ion traps composed of two sets of planar electrodes,this RIT had higher voltage utilization efficiency,resulting in more efficient ion collection and focusing.The ions were cooled to a sufficiently small bunch for precise mass measurement with MR-TOF-MS mass spectrometry in only 1 ms of cooling time in the RIT,then orthogonally ejected to the MR-TOF mass spectrometer for mass analysis.Experimental results indicated that the working cycle,ion flux,and ion focusing state of the RIT fully met the requirements of the MR-TOF mass analyzer.When coupled with the MR-TOF mass analyzer,the RIT enabled MR-TOF-MS to achieve a mass resolution of 1.5×105.

ObjectiveThe detection of RNA single nucleotide polymorphism (SNP) is of great importance due to their association with protein expression related to various diseases and drug responses. At present, splintR ligase-assisted methods are important approaches for RNA direct detection, but its specificity will be limited when the fidelity of ligases is not ideal. The aim of this study was to create a method to improve the specificity of splintR ligase for RNA detection. MethodsIn this study, a dual-competitive-padlock-probe (DCPLP) assay without the need for additional enzymes or reactions is proposed to improve specificity of splintR ligase ligation. To verify the method, we employed dual competitive padlock probe-mediated rolling circle amplification (DCPLP-RCA) to genotype the CYP2C9 gene. ResultsThe specificity was well improved through the competition and strand displacement of dual padlock probe, with an 83.26% reduction in nonspecific signal. By detecting synthetic RNA samples, the method demonstrated a dynamic detection range of 10 pmol/L-1 nmol/L. Furthermore, clinical samples were applied to the method to evaluate its performance, and the genotyping results were consistent with those obtained using the qPCR method. ConclusionThis study has successfully established a highly specific direct RNA SNP detection method, and provided a novel avenue for accurate identification of various types of RNAs.

Objective To investigate the application efficiency and potential of CT radiomics in differentiating malignant and benign sub-centimeter solid pulmonary nodules. Methods A retrospective study was performed on the sub-centimeter ( ≤ 10 mm) solid pulmonary nodules detected by enhanced CT in our hospital from March 2020 to January 2023. Malignancy was confirmed by surgical pathology, and benignity was confirmed by surgical pathology or follow-up. Lesions were manually segmented and radiomic features were extracted. The feature dimension was reduced via feature correlation analysis and least absolute shrinkage and selection operator (LASSO). The 5-fold cross validation was used to validate the model. Support vector machine, logistic regression, linear classification support vector machine, gradient boosting, and random forest models were established for CT radiomics. Receiver operating characteristic curves were drawn. Delong test was used to compare the diagnostic performance of the five classifiers. The optimal model was selected and compared to radiologists with medium and high seniority. Results A total of 303 nodules, 136 of which were malignant, were examined. Radiomics models were established after feature extraction and selection. On test set, the areas under the receiver operating characteristic curves of support vector machine, logistic regression, linear classification support vector machine, random forest, and gradient boosting models were 0.922 (95%CI: 0.893, 0.950), 0.910 (95%CI: 0.878, 0.942), 0.905 (95%CI: 0.872, 0.938), 0.899 (95%CI: 0.865, 0.933), and 0.896 (95%CI: 0.862, 0.930), respectively. Delong test indicated no significant differences in the performance of the five radiomics models, and the support vector machine model showed the highest accuracy and F1 score. The support vector machine model showed significantly higher diagnostic accuracy as compared to radiologists (83.8% vs. 55.4%, P < 0.001). Conclusion The radiomics models achieved high diagnostic efficiency and may help to reduce the uncertainty in diagnosis of malignant and benign sub-centimeter solid nodules by radiologists.