Objective:To analyze the demographic characteristics of positive syphilis screening test results among unpaid blood donors in Wenzhou and to provide a theoretical basis for recalling donors who have received false positive results in their syphilis screening tests.Methods:A retrospective study was conducted on the demographic characteristics of 746 unpaid blood donors in Wenzhou who tested positive for syphilis from March 2020 to September 2022. Donors with positive single-test results received targeted notifications, health inquiries, and general examinations. With their consent, these donors were allowed to re-enter the blood donation process.Results:A total of 296 898 blood donor samples were tested, resulting in the identification of 746 positive cases of syphilis antibodies, yielding a positivity rate of 0.3%. Among the positive cases, most were males aged between 35 and 45 years, with blood types A and O. They generally had an education level of junior high school or lower and were primarily first-time donors. Specifically, males accounted for 53.6% of the positive cases, while individuals aged 35 to 45 years made up 34.0% of the positive cases. Blood types A and O comprised 30.2% and 36.9% of the positive cases, respectively. Additionally, individuals with an education level of junior high school or below accounted for 43.7% of the positive cases, and first-time donors constituted 81.6%. A total of 14 cases were recalled, of which 11 were successfully contacted. Among the cases that underwent testing with the enzyme-linked immunosorbent assay, 85.7% (12/14) tested negative for syphilis antibodies, resulting in a recall success rate of 78.6% (11/14).Conclusions:To prevent the transmission of syphilis through blood transfusions, blood donation centers should prioritize recruiting donors from low-risk populations and encourage regular blood donation. Furthermore, these centers should implement a comprehensive and effective recall program to reduce the loss of qualified blood donors and enhance blood safety.

Objective Nude mice xenograft model with aberrant activation of the PI3K/AKT pathway was established based on PIK3CA-overexpressing non-small cell lung cancer(NSCLC)cell lines PC-9,to observe the effect of Qingkailing injection combined with gefitinib on the growth of xenograft tumor in nude mice and explore its effects on ROS levels,mTOR pathway and STAT3 pathway.Methods After the xenografttumor model of BALB/c nude mice was established successfully,the mice were randomly divided into control group,Qingkailing injection group(10 mL·kg-1),gefitinib group(2.5 mg·kg-1),and Qingkailing combined with gefitinib group,with 5 mice in each group.They were administered for 32 days and then sacrificed.The tumor weight of each group was weighed and the tumor suppression rate was calculated;the level of ROS in the tumor tissues of each group was detected by flow cytometry;the protein levels of PI3K p110α,p-AKT and p-STAT3 in the xenograft tumor tissues of each group were detected by immunohistochemistry;the protein levels of the PI3K/AKT/mTOR pathway and the STAT3 pathway in the xenografttumor tissues of each group were detected by protein western blotting.Results Compared with the control group,Qingkailing injection could slow the tumor growth,significantly reduce the tumor weight,increase the level of ROS,and could significantly down-regulate the levels of PI3K p110α,AKT,mTOR,and STAT3 proteins in the tumor tissues(P<0.05);compared with the gefitinib single-agent group,the tumor growth of the Qingkailing combined with gefitinib group was slow,the weight of the tumors was significantly lower,and it also could significantly elevate the ROS level and downregulate the levels of PI3K p110α,AKT,mTOR,and STAT3 proteins in tumor tissues(P<0.05).Conclusion Qingkailing injection combined with gefitinib inhibited the growth of gefitinib-resistant xenograft in nude mice caused by abnormal activation of the PI3K/AKT pathway.Qingkailing injection may inhibit the PI3K/AKT pathway,its downstream mTOR pathway and STAT3 signaling pathway by up-regulating ROS levels,thereby enhancing the inhibitory effect of gefitinib on the proliferation of xenograft tumors of lung cancer xenografts in nude mice.

Objective Nude mice xenograft model with aberrant activation of the PI3K/AKT pathway was established based on PIK3CA-overexpressing non-small cell lung cancer(NSCLC)cell lines PC-9,to observe the effect of Qingkailing injection combined with gefitinib on the growth of xenograft tumor in nude mice and explore its effects on ROS levels,mTOR pathway and STAT3 pathway.Methods After the xenografttumor model of BALB/c nude mice was established successfully,the mice were randomly divided into control group,Qingkailing injection group(10 mL·kg-1),gefitinib group(2.5 mg·kg-1),and Qingkailing combined with gefitinib group,with 5 mice in each group.They were administered for 32 days and then sacrificed.The tumor weight of each group was weighed and the tumor suppression rate was calculated;the level of ROS in the tumor tissues of each group was detected by flow cytometry;the protein levels of PI3K p110α,p-AKT and p-STAT3 in the xenograft tumor tissues of each group were detected by immunohistochemistry;the protein levels of the PI3K/AKT/mTOR pathway and the STAT3 pathway in the xenografttumor tissues of each group were detected by protein western blotting.Results Compared with the control group,Qingkailing injection could slow the tumor growth,significantly reduce the tumor weight,increase the level of ROS,and could significantly down-regulate the levels of PI3K p110α,AKT,mTOR,and STAT3 proteins in the tumor tissues(P<0.05);compared with the gefitinib single-agent group,the tumor growth of the Qingkailing combined with gefitinib group was slow,the weight of the tumors was significantly lower,and it also could significantly elevate the ROS level and downregulate the levels of PI3K p110α,AKT,mTOR,and STAT3 proteins in tumor tissues(P<0.05).Conclusion Qingkailing injection combined with gefitinib inhibited the growth of gefitinib-resistant xenograft in nude mice caused by abnormal activation of the PI3K/AKT pathway.Qingkailing injection may inhibit the PI3K/AKT pathway,its downstream mTOR pathway and STAT3 signaling pathway by up-regulating ROS levels,thereby enhancing the inhibitory effect of gefitinib on the proliferation of xenograft tumors of lung cancer xenografts in nude mice.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

ObjectiveTo study on the different therapeutic effects and potential mechanisms of Rhei Radix et Rhizoma（RH） before and after steaming with wine on constipation model mice. MethodsFifty-four male ICR mice were randomly divided into control group， model group， lactulose group（1.5 mg·kg^-1）， high， medium and low dose groups of RH and RH steaming with wine（PRH）（8， 4， 1 g·kg^-1）. Except for the control group， the constipation model was replicated by gavage of loperamide hydrochloride（6 mg·kg^-1） in the other groups. After 2 weeks of modeling， each administration group was gavaged with the corresponding dose of drug solution， and the control and model groups were given an equal volume of normal saline， 1 time/d for 2 consecutive weeks. After administration， the feces were collected for 16S rRNA sequencing， the levels of gastrin（GAS）， motilin（MTL）， interleukin-6（IL-6）， γ-interferon（IFN-γ） in the colonic tissue were detected by enzyme-linked immunosorbent assay（ELISA）， the histopathological changes of colon were observed by hematoxylin-eosin（HE） staining， flow cytometry was used to detect the proportion changes of CD4⁺， CD8⁺ and regulatory T cell（Treg） in peripheral blood. ResultsCompared with the control group， the model group showed significantly decrease in fecal number in 24 h， fecal quality and fecal water rate（P<0.01）， the colon was seen to have necrotic shedding of mucosal epithelium， localized intestinal glands in the lamina propria were degenerated， necrotic and atrophied， a few lymphocytes were seen to infiltrate in the necrotic area in a scattered manner， the contents of GAS and MTL， the proportions of CD4⁺， CD8⁺ and Treg were significantly reduced（P<0.01）， the contents of IL-6 and IFN-γ were significantly elevated（P<0.05， P<0.01）. Compared with the model group， the fecal number in 24 h， fecal quality and fecal water rate of high-dose groups of RH and PRH were significantly increased（P<0.05， P<0.01）， the pathological damage of the colon was alleviated to varying degrees， the contents of GAS， MTL， IL-6 and IFN-γ were significantly regressed（P<0.05， P<0.01）， and the proportions of CD4⁺ and CD8⁺ were significantly increased（P<0.01）， although the proportion of Treg showed an upward trend， there was no significant difference. In addition， the results of intestinal flora showed that the number of amplicon sequence variant（ASV） and Alpha diversity were decreased in the model group compared with the control group， and there was a significant difference in Beta diversity， with a decrease in the relative abundance of Lactobacillus and an increase in the relative abundances of Bacillus and Helicobacter. Compared with the model group， the ASV number and Alpha diversity were increased in the high-dose groups of RH and PRH， and there was a trend of regression of Beta diversity to the control group， the relative abundance of Lactobacillus increased， and the relative abundances of Bacillus and Helicobacter decreased. ConclusionRH and PRH can improve dysbacteriosis， promote immune system activation， inhibit the release of inflammatory factors for enhancing the gastrointestinal function， which may be one of the potential mechanisms of their therapeutic effect on constipation.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Objective Based on the analysis of the results of retesting of blood donors with human immunodeficiency virus(HIV)serological single-reagent reactivity,the rationality and practical effect of the existing retesting strategy were discussed.Methods HIV serological single-reagent reactivity blood donors in Wenzhou from January to December 2023 were selected as the study objects,and were confirmed by Wenzhou Center for Disease Control and Prevention(CDC)and returning test to confirm whether they could be returnee.Differences in return rates were analyzed by the basic data of blood donors and the S/CO value of HIV serological test during screening.Results Among the 374 HIV serological single-reagent reactivity blood donors,55 were confirmed by CDC with uncertain HIV antibodies,319 met the criteria for return,and 84 actively applied for return.78 showed no reactivity through self-test and return test and were allowed to return to the team.Four showed HIV serological reactivity,one showed HIV nucleic acid testing(NAT)test reactivity,permanent shielding.One showed the reactivity of anti-HIV chemiluminescence immunoassay test,and the HIV NAT test was noreactivity,and continued to be screened to participate in the next round of return.There were statistically significant differences in the permissible return rate of blood donors with different ages,blood types and blood donation times(P<0.05).There was no significant difference in the allowed return rate of blood donors with different S/CO values during screening(χ2=1.898,P=0.168).Conclusion Reasonable return procedures can effectively reduce the loss of blood donors and ensure the safety of blood for clinical use.

OBJECTIVE To standardize the management of patients’ self-carried medicines dispensed by Pharmacy Intravenous Admixture Services （PIVAS） of our hospital， improve the quality of medical care， and ensure the safety of patients’ medication. METHODS Based on evidence-based methodology， the research literature of domestic medical institutions on the management of patients’ self-carried medicines was systematically searched and analyzed， and the data on the use of patients’ self- carried medicines in our hospital from February to April 2023 were extracted based on our hospital’s information system. A fishbone diagram of the difficulties in constructing patients’ self-carried medicines within PIVAS of our hospital was drawn through brainstorming， thereby establishing a refined whole-process management system for patients’ self-carried medicines in PIVAS. The effectiveness of the system was evaluated through the indicators， including dispensing volume， error rate， and so on. RESULTS & CONCLUSIONS A total of 15 papers were included， covering descriptive studies on the reasons for the use of patients’ self- carried medicines， current status of their use， management system， management methods， management suggestions. There were 12 clinical departments in our hospital with a high proportion of patients using self-carried medicines， among which the pediatric neurology department had the most use of patients’ self-carried medicines， accounting for 10.65%. In terms of dosage form， injectable drugs accounted for 13.68%， all of anticancer drug were uniformly dispensed by our hospital’s PIVAS. PIVAS in our hospital had successfully constructed the management system for dispensing patients’ self-carried medicines， which included the processes of drug reception and preservation， medical document retention， doctor’s order review， drug placement， dispensing， review and transportation. After the implementation of the system， from May 2023 to October 2024， our hospital’s PIVAS dispensed 654 bags of patients’ self-carried medicines in total，with a monthly average of 36 bags. Zero error management 5）；was realized for all patients’ self-carried medicines. The system operates stably and effectively， thereby ensuring the high-quality dispensing of patients’ self-carried medicines in PIVAS of our hospital.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.