Objective To analyze the characteristics of intestinal flora of personnel stationed on an island,so as to lay the foundation for maintaining the intestinal microecological balance of personnel stationed on island and provide accurate medical security.Methods Several subjects stationed on an island and several subjects from coastal areas were enrolled by random and sampling method,and their fecal samples were sequenced by 16S rRNA high-throughput sequencing.Diversity and composition of gut microbiota in 2 cohorts of personnel were compared.Results Alpha diversity analysis of intestinal flora showed that the abundance of intestinal flora in subjects stationed on the island was significantly higher than that of subjects from coastal areas.Beta diversity analysis indicated significant differences in the composition of intestinal microbial communities between the subjects stationed on the island and those from coastal areas(P=0.001).The abundance of the Bacteroidota in the intestinal tract of subjects stationed on the island was significantly lower than that of subjects from coastal areas(30.8%vs 48.3%,P＜0.001),while the abundance of the Proteobacteria was significantly higher than that of subjects from coastal areas(28.3%vs 10.2%,P＜0.001).After multiple hypothesis testing correction,it was found that the abundance of the Bacteroides,Roseburia,Alistipes,and Parabacteroides in the intestines of subjects stationed on the island decreased significantly,while the abundance of the Prevotella,Escherichia-Shigella,Citrobacter,and Eubacterium_coprostanoligenes increased significantly.Conclusion The special environment of islands affects the characteristics of intestinal flora of personnel,and the intestinal microecological health needs precise maintenance.

Objective:To assess performance advantages of voxel-less optimization(VoLO)algorithm of CyberKnife-based S7 treatment plan system for the optimization of stereotactic body radiation therapy(SBRT)for liver cancer.Methods:The case data of 20 patients with hepatocellular carcinoma from Chinese PLA General Hospital during June 2022 and April 2023 were retrospectively selected,which included 10 patients with large hepatocellular carcinoma and 10 patients with small hepatocellular carcinoma.All patients adopted respectively sequential optimization(SO)and VoLO to conduct optimization for plan.The optimized quality of plan and execution efficiency of two kinds of algorithms were assessed,and the influences of different tumor volumes also were considered.The planed quality assessment included dosimetric parameters of the target region and organ at risk(OAR).The assessment parameters of execution efficiency included the numbers of monitor units(MUs),nodes and beams,and estimated treatment time.Paired t-test method was adopted to analyze quality of plan and treatment efficiency.Results:On the aspect of the dose of target region,for small hepatocellular carcinoma,the conformity index(CI)value(1.08±0.05)of target region of VoLO algorithm was significantly better than(1.17±0.06)of SO algorithm(t=4.631,P<0.05).The gradient index(GI),coverage rate and dose by 95%(D95%)of VoLO algorithm were better than those of SO algorithm,while the differences were not significant(P>0.05).According to the defined standards of liver surgery,for large hepatocellular carcinoma,the differences in CI,GI,coverage rate and D95%of target region between two kinds of algorithms were significant(t=3.337,4.238,-3.359,-3.311,P<0.05),respectively.On the aspect of dosimetry for OAR,for the target region of large hepatocellular carcinoma,the differences of liver Dmean and D700 cm3 between two kinds of algorithms were significant(t=4.114,3.415,P<0.05).However,for small hepatocellular carcinoma,there was no significant statistical difference in dosimetry parameters of OAR between two kinds of algorithms(P>0.05).The execution efficiency of the plan of VoLO group was obviously higher than that of SO group,and the differences of MU number,node number,beam number and estimated treatment time between two groups were significant(t=12.661,4.423,5.024,9.487,P<0.05).Conclusion:The quality of VoLO plan is significantly better than that of SO,which has a significant improvement in execution efficiency of treatment.For the cases of large hepatocellular carcinoma with more complexity,the VoLO optimization shows better advantages on the aspect of dose on target region,and protection for normal liver.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To assess performance advantages of voxel-less optimization(VoLO)algorithm of CyberKnife-based S7 treatment plan system for the optimization of stereotactic body radiation therapy(SBRT)for liver cancer.Methods:The case data of 20 patients with hepatocellular carcinoma from Chinese PLA General Hospital during June 2022 and April 2023 were retrospectively selected,which included 10 patients with large hepatocellular carcinoma and 10 patients with small hepatocellular carcinoma.All patients adopted respectively sequential optimization(SO)and VoLO to conduct optimization for plan.The optimized quality of plan and execution efficiency of two kinds of algorithms were assessed,and the influences of different tumor volumes also were considered.The planed quality assessment included dosimetric parameters of the target region and organ at risk(OAR).The assessment parameters of execution efficiency included the numbers of monitor units(MUs),nodes and beams,and estimated treatment time.Paired t-test method was adopted to analyze quality of plan and treatment efficiency.Results:On the aspect of the dose of target region,for small hepatocellular carcinoma,the conformity index(CI)value(1.08±0.05)of target region of VoLO algorithm was significantly better than(1.17±0.06)of SO algorithm(t=4.631,P<0.05).The gradient index(GI),coverage rate and dose by 95%(D95%)of VoLO algorithm were better than those of SO algorithm,while the differences were not significant(P>0.05).According to the defined standards of liver surgery,for large hepatocellular carcinoma,the differences in CI,GI,coverage rate and D95%of target region between two kinds of algorithms were significant(t=3.337,4.238,-3.359,-3.311,P<0.05),respectively.On the aspect of dosimetry for OAR,for the target region of large hepatocellular carcinoma,the differences of liver Dmean and D700 cm3 between two kinds of algorithms were significant(t=4.114,3.415,P<0.05).However,for small hepatocellular carcinoma,there was no significant statistical difference in dosimetry parameters of OAR between two kinds of algorithms(P>0.05).The execution efficiency of the plan of VoLO group was obviously higher than that of SO group,and the differences of MU number,node number,beam number and estimated treatment time between two groups were significant(t=12.661,4.423,5.024,9.487,P<0.05).Conclusion:The quality of VoLO plan is significantly better than that of SO,which has a significant improvement in execution efficiency of treatment.For the cases of large hepatocellular carcinoma with more complexity,the VoLO optimization shows better advantages on the aspect of dose on target region,and protection for normal liver.

Objective:To explore the improvement of the quality standard of Ginkgo Leaf Extract and Dipyridamole Injection and conduct safety tests including abnormal toxicity test,allergic reaction test,hemolysis and coagulation test.Methods:Ginkgo Leaf Extract and Dipyridamole Injection from 3 different manufactures(A,B and C)were tested respectively through abnormal toxicity test and acute toxicity test in mice,active systemic anaphylaxis test in guinea pigs and hemolysis test in vitro.Five mice were used in each batch for abnormal toxicity test according to the abnormal toxicity test method in general notice of the Chinese Pharmacopoeia 2020 Volume Ⅳ(1141),and 50 mice were selected in each batch for acute toxicity test to determine the median lethal dose(LD50)or maximum tol-erable dose(MTD)of Ginkgo Leaf Extract and Dipyridamole Injection,which were used to establish the method of abnormal toxicity experiment.The anaphylaxis of Ginkgo Leaf Extract and Dipyridamole Injection was evaluated by active systemic anaphylaxis test in guinea pigs,which was used to establish the method of allergic test.The hemoly-sis test of Ginkgo Leaf Extract and Dipyridamole Injection was studied by conventional tube method in vitro(macro-scopic observation)and improved hemolysis method in vitro(spectrophotometric method),which were used to establish the method of hemolysis and coagulation test.Results:① In manufacture A,the results of abnormal toxicity test were showed that LD50 was20.8 mL·kg-1and MTD was 16.5 mL·kg-1.No death or abnormal reac-tions were observed in mice tested for abnormal toxicity of 2 manufactures(B and C),and MTD was 50 and 40 mL·kg-1,respectively.②The no-observed-adverse-effect dose of Ginkgo Leaf Extract and Dipyridamole Injec-tion from 3 manufactures to guinea pig intravenous was 0.83 mL·kg-1,and no allergic reaction symptoms were observed when Ginkgo Leaf Extract and Dipyridamole Injection was diluted 4 times to challenge the sensitized guinea pigs(equivalent to human clinical dosage).③Differences were observed in the hemolytic effects of Ginkgo Leaf Extract and Dipyridamole Injection from 3 manufactures,but no obvious hemolytic reaction occurred when it was diluted 1.2 times(equivalent to 5%of the maximum clinical concentration).Conclusion:It is recommended to add abnormal toxicity test,allergic reaction test,hemolysis and coagulation test in the quality standard of Ginkgo Leaf Extract and Dipyridamole Injection as safety test items to control the risk.The proposed method is diluting Ginkgo Leaf Extract and Dipyridamole Injection by 5 times,4 times and 1.2 times to perform abnormal toxicity test,allergic reaction test,hemolysis test and coagulation test respectively.

Objective To investigate the relationship between serum nesfatin-1(NSF-1)and soluble tumor necrosis factor receptor-Ⅰ(sTNFR-Ⅰ)with premature rupture of membrane(PROM)in patients with severe preeclampsia(SPE),and their effects on pregnancy outcomes.Methods A total of 84 patients diagnosed with SPE in the Obstetrics Department of The First Affiliated Hospital of Nanyang Medical College from April 2023 to April 2024 were selected and grouped into the PROM and non-PROM groups based on whether they had PROM.The pregnant women were separated into good and poor pregnancy groups based on their pregnancy outcomes.Logistic regres-sion analysis was performed to assess the factors influencing PROM in patients with SPE and adverse pregnancy outcomes in patients with PROM.Receiver operating characteristic(ROC)curves were plotted to analyze the value of serum NSF-1 and sTNFR-Ⅰ in the evaluation and prediction of PROM in patients with SPE,as well as adverse pregnancy outcomes in patients with PROM.Results Serum levels of NSF-1 and sTNFR-Ⅰ were significantly higher in the study group than in the control group(P＜0.05).In addition,serum levels of NSF-1 and sTNFR-Ⅰ were significantly higher in the PROM group than in the non-PROM group(P＜0.05).Logistic regression analysis showed that NSF-1 and sTNFR-Ⅰ were risk factors for PROM in patients with SPE(P＜0.05).Based on the ROC curve,the area under the ROC curve(AUC)of serum NSF-1 and sTNFR-Ⅰ levels combined to assess PROM in patients with SPE was 0.887,and the combination of the two was superior to their respective individual predictions(Z=2.601,Z=2.585,both P＜0.05).Serum levels of NSF-1 and sTNFR-Ⅰ in the poor pregnancy group were significantly higher than those in the good pregnancy group(P＜0.05).Logistic regression analysis showed that NSF-1 and sTNFR-Ⅰ levels were risk factors for adverse pregnancy outcomes in patients with PROM(P＜0.05).Based on the ROC curve,the AUC of the combination of serum NSF-1 and sTNFR-Ⅰ for predicting adverse pregnancy outcomes in patients with PROM was 0.908,and the combination of the two was better than their respective individual predictions(Z=2.534,Z=2.556,both P＜0.05).Conclusion Serum levels of NSF-1 and sTNFR-Ⅰ were significantly increased in patients with SPE,and both were related to PROM.Elevated levels of both proteins can increase the risk of adverse pregnancy outcomes.

Objective To explore the injury types,associated injuries,and correlations of the lateral meniscus posterior root(LMPR),and to improve the comprehensive understanding of LMPR and its associated injuries.Methods The patients with LMPR who underwent knee MRI examination were retrospectively selected.A total of 223 patients with LMPR injury were classified into 4 types.The integ-rity of the meniscofemoral ligament and the grading of the cartilage injuries in the lateral tibiofemoral compartment were recorded.The relationship between the types of LMPR injury and the lateral meniscus tear locations,as well as lateral meniscus extrusion were analyzed.The relationship between the integrity of the meniscofemoral ligament and lateral meniscus extrusion was analyzed.The correlation between the time to clinical presentation after injury and the grading of the cartilage injuries was analyzed in patients with anterior cruciate ligament(ACL)ruptures.Results The incidence of LMPR injury was 1.02％,with males affected 2.19 times more frequently than females.Among patients with ACL ruptures,the incidence was 13.17％.Both type Ⅰ and type Ⅱ LMPR inju-ries predominantly involved only the posterior root,while type Ⅲ injuries mainly affected the posterior root extending to the posterior horn and body.The incidence of the lateral meniscus extrusion was higher in type Ⅲ LMPR injury than in type Ⅱ.When the menis-cofemoral ligament was not intact,the incidence of the lateral meniscus extrusion increased.In patients with ACL ruptures,a longer time to clinical presentation after injury was associated with more severe cartilage injuries grading in the lateral tibiofemoral compart-ment.Conclusion Males are more susceptible to LMPR injuries than females.The classification of LMPR injuries is correlated with the location of the lateral meniscus tears and the incidence of the lateral meniscus extrusion.The integrity of the meniscofemoral lig-ament is related to the incidence of the lateral meniscus extrusion.The time to clinical presentation after injury is related to the sever-ity of cartilage injury in ACL rupture patients.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Loss of protein homeostasis is a hallmark of cellular senescence, and ribosome pausing plays a crucial role in the collapse of proteostasis. However, our understanding of ribosome pausing in senescent cells remains limited. In this study, we utilized ribosome profiling and G-quadruplex RNA immunoprecipitation sequencing techniques to explore the impact of RNA G-quadruplex (rG4) on the translation efficiency in senescent cells. Our results revealed a reduction in the translation efficiency of rG4-rich genes in senescent cells and demonstrated that rG4 structures within coding sequence can impede translation both in vivo and in vitro. Moreover, we observed a significant increase in the abundance of rG4 structures in senescent cells, and the stabilization of the rG4 structures further exacerbated cellular senescence. Mechanistically, the RNA helicase DHX9 functions as a key regulator of rG4 abundance, and its reduced expression in senescent cells contributing to increased ribosome pausing. Additionally, we also observed an increased abundance of rG4, an imbalance in protein homeostasis, and reduced DHX9 expression in aged mice. In summary, our findings reveal a novel biological role for rG4 and DHX9 in the regulation of translation and proteostasis, which may have implications for delaying cellular senescence and the aging process.
G-Quadruplexes ; Cellular Senescence ; Ribosomes/genetics* ; Humans ; Animals ; Mice ; DEAD-box RNA Helicases/genetics* ; Protein Biosynthesis ; RNA/chemistry* ; Neoplasm Proteins

This study aims to explore the synergistic effects of the main components in salvianolic acids for Injection(SAFI) on key pathological events in cerebral ischemia, elucidating the pharmacological characteristics of SAFI in neuroprotection. Two major pathological gene modules related to endothelial injury and neuroinflammation in cerebral ischemia were mined from single-cell data. According to the topological distance calculated in network medicine, potential synergistic component combinations of SAFI were screened out. The results showed that the combination of caffeic acid and salvianolic acid B scored the highest in addressing both endothelial injury and neuroinflammation, demonstrating potential synergistic effects. The cell experiments confirmed that the combination of these two components at a ratio of 1∶1 significantly protected brain microvascular endothelial cells(bEnd.3) from oxygen-glucose deprivation/reoxygenation(OGD/R)-induced reperfusion injury and effectively suppressed lipopolysaccharide(LPS)-induced neuroinflammatory responses in microglial cells(BV-2). This study provides a new method for uncovering synergistic effects among active components in traditional Chinese medicine(TCM) and offers novel insights into the multi-component, multi-target acting mechanisms of TCM.
Brain Ischemia/metabolism* ; Neuroprotective Agents/pharmacology* ; Animals ; Drugs, Chinese Herbal/administration & dosage* ; Benzofurans/pharmacology* ; Mice ; Drug Synergism ; Caffeic Acids/pharmacology* ; Polyphenols/pharmacology* ; Humans ; Alkenes/pharmacology* ; Endothelial Cells/drug effects* ; Depsides