Periodontitis is a common oral disease caused by bacteria coupled with an excessive host immune response. Stem cell therapy can be a promising treatment strategy for periodontitis, but the relevant mechanism is complicated. This study aimed to explore the therapeutic potential of mitochondria from human embryonic stem cell-derived mesenchymal stem cells (hESC-MSCs) for the treatment of periodontitis. The gingival tissues of periodontitis patients are characterized by abnormal mitochondrial structure. Human gingival fibroblasts (HGFs) were exposed to 5 μg/mL lipopolysaccharide (LPS) for 24 h to establish a cell injury model. When treated with hESC-MSCs or mitochondria derived from hESC-MSCs, HGFs showed reduced expression of inflammatory genes, increased adenosine triphosphate (ATP) level, decreased reactive oxygen species (ROS) production, and enhanced mitochondrial function compared to the control. The average efficiency of isolated mitochondrial transfer by hESC-MSCs was determined to be 8.93%. Besides, a therapy of local mitochondrial injection in mice with LPS-induced periodontitis showed a reduction in inflammatory gene expression, as well as an increase in both the mitochondrial number and the aspect ratio in gingival tissues. In conclusion, our results indicate that mitochondria derived from hESC-MSCs can reduce the inflammatory response and improve mitochondrial function in HGFs, suggesting that the transfer of mitochondria between hESC-MSCs and HGFs serves as a potential mechanism underlying the therapeutic effect of stem cells.
Humans ; Gingiva/cytology* ; Fibroblasts/metabolism* ; Mitochondria/physiology* ; Mesenchymal Stem Cells/cytology* ; Animals ; Periodontitis/therapy* ; Mice ; Reactive Oxygen Species/metabolism* ; Inflammation ; Lipopolysaccharides ; Human Embryonic Stem Cells/cytology* ; Cells, Cultured ; Adenosine Triphosphate/metabolism* ; Male

Objective To investigate the effect of the mutant of adenovirus-mediated HIF-1α triple mutant(Ad-HIF-1α-Trip)on the apoptosis of H9c2 cardiomyocytes under high glucose and hypoxia conditions.Methods H9c2 cardiomyocytes were cultured under hypoxic conditions in vitro and randomly divided into four groups based on glucose concentration and viral transfection status:low oxygen+normal glucose concentration group(LO+NG group),low oxygen+high glucose concentration group(LO+HG group),low oxygen+high glucose+adenoviral null vector group(LO+HG+Ad-Null group),and low oxygen+high glucose+adenovirus HIF-1α triple mutant group(LO+HG+Ad-HIF-1α-Trip group).After 12 hours of hypoxia,HIF-1α,PI3K,and Akt expression were measured via qRT-PCR and Western blot,and apoptosis of H9c2 cardiomyocytes was assessed by flow cytometry.Results HIF-1α,PI3K,and Akt expression decreased in cardiomyocytes under high glucose and hypoxia,while Ad-HIF-1 α-Trip enhanced their expression.Flow cytometry revealed increased apoptosis under high glucose and hypoxia,which was reduced by Ad-HIF-1α-Trip.Conclusion Ad-HIF-1α-Trip upregulates HIF-1α,PI3K,and Akt in H9c2 cardiomyocytes under high glucose and hypoxia,likely reducing apoptosis via PI3K-Akt pathway activation.

OBJECTIVE To analyze the incidence of infectious diseases in a certain department from 2015 to 2022,to provide scientific basis for formulating health and epidemic prevention measures.METHODS Descriptive epide-miological methods were used to analyze the incidence of infectious diseases.RESULTS Over the eight-year period,a total of 3,635 cases of 35 types of infectious diseases were reported.The top five diseases in terms of incidence were chickenpox,influenza,tuberculosis,viral hepatitis and acute febrile respiratory diseases.From the perspec-tive of transmission routes,respiratory infectious diseases were the most common,followed by blood-borne and sexually transmitted diseases,and gastrointestinal infectious diseases.Regarding time distribution,the high-est number of cases occurred in the first quarter,with the least in the third quarter.From the perspective of popu-lation distribution,soldiers have the highest incidence of the disease,followed by military officers,with age of on-set ranging from 17 to 25 years old.CONCLUSIONS Respiratory infectious diseases are the primary cause of the epidemic,with an obvious seasonal distribution characteristics,and sexually transmitted diseases show a slow growth trend.It is imperative to strengthen monitoring,early warning and timely disposal of respiratory infectious diseases;meanwhile health education and intervention for risk factors related to sexually transmitted diseases should be strengthened.

Objective To develop a decision support system for clinical nursing plans based on nursing diagno-sis and explore its application effects,in order to provide references for optimizing the clinical nursing process and improving the quality of nursing.Methods A multidisciplinary research team was established to construct a clini-cal nursing plan decision support system framework from 3 aspects,namely nursing diagnosis,nursing interventions,and outcome tracking.The system built a clinical nursing diagnosis decision knowledge base through 3 dimensions,namely basic nursing diagnoses,specialty disease nursing diagnoses,and nursing-related technical diagnoses.Deep learning-based artificial intelligence capture technology was developed to achieve intelligent matching and generate clinical nursing plan forms.Implemented in a tertiary hospital in Yichang City,Hubei Province,a control group(June to August 2024)and an experimental group(October to December 2024)were compared regarding nursing diagnosis implementation rate,nursing plan documentation accuracy,and clinical nursing quality scores.Results This research showed a significant improvements for nursing diagnosis implementation rate increased from 94.88％to 97.25％,and nursing plan documentation accuracy improved from 90.38％to 95.33％.Compared with the control group,the experimental group demonstrated statistically significant enhancements in deep vein thrombosis preven-tion,fall prevention,pressure injury management,unplanned extubation control,bloodstream infection control,catheter-related infection prevention,and key specialty nursing quality indicators(all P＜0.05).Conclusion The nursing di-agnosis-based clinical decision support system effectively improves nurses'diagnostic implementation rates,enhances documentation accuracy of nursing plans,and elevates overall clinical nursing quality.

Objective:To analyze the differences in clinicopathological features between non-elderly and elderly patients with melanoma, and to identify risk factors for prognosis in elderly patients with melanoma.Methods:A retrospective analysis was conducted on clinical and pathological data collected from non-elderly (aged < 60 years) and elderly (aged ≥ 60 years) patients with melanoma, who were confirmedly diagnosed according to clinical manifestations and histopathological findings at the People's Hospital of Xinjiang Uygur Autonomous Region from January 2008 to December 2023. The differences in clinical and pathological characteristics between the two groups were analyzed using the chi-square test and Wilcoxon rank-sum test. Survival curves were estimated using the Kaplan-Meier method and log-rank test. The relationship between clinicopathological variables and overall survival was analyzed using a Cox regression model.Results:A total of 233 patients with cutaneous melanoma were included, with the age being 60.3 ± 14.7 years, and the number of patients was highest in the age group of 60 - 69 years. There were 102 cases (43.8%) in the < 60 years old group and 131 cases (56.2%) in the ≥ 60 years old group. Compared with the < 60 years old group, the ≥ 60 years old group showed a significant increase in the proportion of patients with active tumor-infiltrating lymphocytes ( P = 0.040), proportion of those with Ki-67 index ≥ 30% ( P = 0.010), and Charlson comorbidity index ( P = 0.002), but a significant decrease in the proportion of patients with BRAF/KIT/NRAS mutations ( P = 0.003), proportion of those receiving surgical treatment ( P = 0.034), and proportion of those receiving adjuvant therapy ( P = 0.042). There was a significant difference in the overall survival between the two groups (log-rank test, χ2 = 6.10, P = 0.014). The gender, metastasis status, presence or absence of ulceration, distant metastasis status, American Joint Committee on Cancer staging, Charlson comorbidity index, and Breslow thickness were important prognostic indicators affecting the overall survival in the elderly patients with melanoma. Multivariate Cox regression analysis showed that males ( P = 0.015, HR = 4.622, 95% CI: 1.352 - 15.798), presence of distant metastasis ( P = 0.013, HR = 9.844, 95% CI: 4.621 - 59.763), and Charlson comorbidity index ≥ 3 ( P = 0.038, HR = 3.149, 95% CI: 1.067 - 9.294) were independent risk factors affecting the overall survival in the elderly patients with melanoma. Conclusions:Compared with the non-elderly patients with melanoma, a higher Ki-67 index, a higher Charlson comorbidity index, less surgical treatment, and less adjuvant therapy were more common in the elderly patients with melanoma. Males, the presence of distant metastasis, and Charlson comorbidity index ≥ 3 appeared to be independent risk factors affecting the overall survival in the elderly patients with melanoma.

Objective:To analyze the differences in clinicopathological features between non-elderly and elderly patients with melanoma, and to identify risk factors for prognosis in elderly patients with melanoma.Methods:A retrospective analysis was conducted on clinical and pathological data collected from non-elderly (aged < 60 years) and elderly (aged ≥ 60 years) patients with melanoma, who were confirmedly diagnosed according to clinical manifestations and histopathological findings at the People's Hospital of Xinjiang Uygur Autonomous Region from January 2008 to December 2023. The differences in clinical and pathological characteristics between the two groups were analyzed using the chi-square test and Wilcoxon rank-sum test. Survival curves were estimated using the Kaplan-Meier method and log-rank test. The relationship between clinicopathological variables and overall survival was analyzed using a Cox regression model.Results:A total of 233 patients with cutaneous melanoma were included, with the age being 60.3 ± 14.7 years, and the number of patients was highest in the age group of 60 - 69 years. There were 102 cases (43.8%) in the < 60 years old group and 131 cases (56.2%) in the ≥ 60 years old group. Compared with the < 60 years old group, the ≥ 60 years old group showed a significant increase in the proportion of patients with active tumor-infiltrating lymphocytes ( P = 0.040), proportion of those with Ki-67 index ≥ 30% ( P = 0.010), and Charlson comorbidity index ( P = 0.002), but a significant decrease in the proportion of patients with BRAF/KIT/NRAS mutations ( P = 0.003), proportion of those receiving surgical treatment ( P = 0.034), and proportion of those receiving adjuvant therapy ( P = 0.042). There was a significant difference in the overall survival between the two groups (log-rank test, χ2 = 6.10, P = 0.014). The gender, metastasis status, presence or absence of ulceration, distant metastasis status, American Joint Committee on Cancer staging, Charlson comorbidity index, and Breslow thickness were important prognostic indicators affecting the overall survival in the elderly patients with melanoma. Multivariate Cox regression analysis showed that males ( P = 0.015, HR = 4.622, 95% CI: 1.352 - 15.798), presence of distant metastasis ( P = 0.013, HR = 9.844, 95% CI: 4.621 - 59.763), and Charlson comorbidity index ≥ 3 ( P = 0.038, HR = 3.149, 95% CI: 1.067 - 9.294) were independent risk factors affecting the overall survival in the elderly patients with melanoma. Conclusions:Compared with the non-elderly patients with melanoma, a higher Ki-67 index, a higher Charlson comorbidity index, less surgical treatment, and less adjuvant therapy were more common in the elderly patients with melanoma. Males, the presence of distant metastasis, and Charlson comorbidity index ≥ 3 appeared to be independent risk factors affecting the overall survival in the elderly patients with melanoma.

Objective To develop a decision support system for clinical nursing plans based on nursing diagno-sis and explore its application effects,in order to provide references for optimizing the clinical nursing process and improving the quality of nursing.Methods A multidisciplinary research team was established to construct a clini-cal nursing plan decision support system framework from 3 aspects,namely nursing diagnosis,nursing interventions,and outcome tracking.The system built a clinical nursing diagnosis decision knowledge base through 3 dimensions,namely basic nursing diagnoses,specialty disease nursing diagnoses,and nursing-related technical diagnoses.Deep learning-based artificial intelligence capture technology was developed to achieve intelligent matching and generate clinical nursing plan forms.Implemented in a tertiary hospital in Yichang City,Hubei Province,a control group(June to August 2024)and an experimental group(October to December 2024)were compared regarding nursing diagnosis implementation rate,nursing plan documentation accuracy,and clinical nursing quality scores.Results This research showed a significant improvements for nursing diagnosis implementation rate increased from 94.88％to 97.25％,and nursing plan documentation accuracy improved from 90.38％to 95.33％.Compared with the control group,the experimental group demonstrated statistically significant enhancements in deep vein thrombosis preven-tion,fall prevention,pressure injury management,unplanned extubation control,bloodstream infection control,catheter-related infection prevention,and key specialty nursing quality indicators(all P＜0.05).Conclusion The nursing di-agnosis-based clinical decision support system effectively improves nurses'diagnostic implementation rates,enhances documentation accuracy of nursing plans,and elevates overall clinical nursing quality.

Objective To investigate the effect of the mutant of adenovirus-mediated HIF-1α triple mutant(Ad-HIF-1α-Trip)on the apoptosis of H9c2 cardiomyocytes under high glucose and hypoxia conditions.Methods H9c2 cardiomyocytes were cultured under hypoxic conditions in vitro and randomly divided into four groups based on glucose concentration and viral transfection status:low oxygen+normal glucose concentration group(LO+NG group),low oxygen+high glucose concentration group(LO+HG group),low oxygen+high glucose+adenoviral null vector group(LO+HG+Ad-Null group),and low oxygen+high glucose+adenovirus HIF-1α triple mutant group(LO+HG+Ad-HIF-1α-Trip group).After 12 hours of hypoxia,HIF-1α,PI3K,and Akt expression were measured via qRT-PCR and Western blot,and apoptosis of H9c2 cardiomyocytes was assessed by flow cytometry.Results HIF-1α,PI3K,and Akt expression decreased in cardiomyocytes under high glucose and hypoxia,while Ad-HIF-1 α-Trip enhanced their expression.Flow cytometry revealed increased apoptosis under high glucose and hypoxia,which was reduced by Ad-HIF-1α-Trip.Conclusion Ad-HIF-1α-Trip upregulates HIF-1α,PI3K,and Akt in H9c2 cardiomyocytes under high glucose and hypoxia,likely reducing apoptosis via PI3K-Akt pathway activation.

OBJECTIVE To analyze the incidence of infectious diseases in a certain department from 2015 to 2022,to provide scientific basis for formulating health and epidemic prevention measures.METHODS Descriptive epide-miological methods were used to analyze the incidence of infectious diseases.RESULTS Over the eight-year period,a total of 3,635 cases of 35 types of infectious diseases were reported.The top five diseases in terms of incidence were chickenpox,influenza,tuberculosis,viral hepatitis and acute febrile respiratory diseases.From the perspec-tive of transmission routes,respiratory infectious diseases were the most common,followed by blood-borne and sexually transmitted diseases,and gastrointestinal infectious diseases.Regarding time distribution,the high-est number of cases occurred in the first quarter,with the least in the third quarter.From the perspective of popu-lation distribution,soldiers have the highest incidence of the disease,followed by military officers,with age of on-set ranging from 17 to 25 years old.CONCLUSIONS Respiratory infectious diseases are the primary cause of the epidemic,with an obvious seasonal distribution characteristics,and sexually transmitted diseases show a slow growth trend.It is imperative to strengthen monitoring,early warning and timely disposal of respiratory infectious diseases;meanwhile health education and intervention for risk factors related to sexually transmitted diseases should be strengthened.

Objective To investigate the effectiveness of FOCUS-PDCA model in enhancing the quality of official hospi-tal documents in a Zhejiang-based hospital.Methods The FOCUS-PDCA model was adopted to identify and address the issues present in the hospital's document management system in 2021.An improvement team was established,tasked with identifying the root cause of the poor quality of documents through group ability assessments,critical factor voting,and brainstorming.High-risk,high-frequency,and error-prone issues were prioritized for improvement.The FOCUS-PDCA model,along with tools such as the 5W1 H and Gantt chart,were utilized to continuously enhance the quality of the hospital's official documentation.The pass rate of document preparation pre-and post-improvement was compared using SPSS software.Results After the improvement,the approval rate for hospital document writing increased from 25.4％to 51.2％,exceeding the target value and achieving the antici-pated outcome.The most significant improvement was observed in document formatting,which now adheres to national standards at a 100％standard rate.Conclusion The FOCUS-PDCA model,coupled with measures such as top-level system design,train-ing,and strict auditing,can significantly improve the quality of hospital documentation.This approach effectively enhances the standard of document management within the hospital,contributing to modernization efforts.