Periodontal bone defects, primarily caused by periodontitis, are highly prevalent in clinical settings and manifest as bone fenestration, dehiscence, or attachment loss, presenting a significant challenge to oral health. In regenerative medicine, harnessing developmental principles for tissue repair offers promising therapeutic potential. Of particular interest is the condensation of progenitor cells, an essential event in organogenesis that has inspired clinically effective cell aggregation approaches in dental regeneration. However, the precise cellular coordination mechanisms during condensation and regeneration remain elusive. Here, taking the tooth as a model organ, we employed single-cell RNA sequencing to dissect the cellular composition and heterogeneity of human dental follicle and dental papilla, revealing a distinct Platelet-derived growth factor receptor alpha (PDGFRA) mesenchymal stem/stromal cell (MSC) population with remarkable odontogenic potential. Interestingly, a reciprocal paracrine interaction between PDGFRA⁺ dental follicle stem cells (DFSCs) and CD31⁺ Endomucin⁺ endothelial cells (ECs) was mediated by Vascular endothelial growth factor A (VEGFA) and Platelet-derived growth factor subunit BB (PDGFBB). This crosstalk not only maintains the functionality of PDGFRA⁺ DFSCs but also drives specialized angiogenesis. In vivo periodontal bone regeneration experiments further reveal that communication between PDGFRA⁺ DFSC aggregates and recipient ECs is essential for effective angiogenic-osteogenic coupling and rapid tissue repair. Collectively, our results unravel the importance of MSC-EC crosstalk mediated by the VEGFA and PDGFBB-PDGFRA reciprocal signaling in orchestrating angiogenesis and osteogenesis. These findings not only establish a framework for deciphering and promoting periodontal bone regeneration in potential clinical applications but also offer insights for future therapeutic strategies in dental or broader regenerative medicine.
Receptor, Platelet-Derived Growth Factor alpha/metabolism* ; Humans ; Neovascularization, Physiologic/physiology* ; Dental Sac/cytology* ; Single-Cell Analysis ; Transcriptome ; Mesenchymal Stem Cells/metabolism* ; Bone Regeneration ; Animals ; Dental Papilla/cytology* ; Periodontium/physiology* ; Stem Cells/metabolism* ; Regeneration ; Angiogenesis

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

Objective Exploring the components of complex scenarios of healthcare surges triggered by major epidemics to provide a theorical basis for building resilience in healthcare organizations.Methods A hybrid analysis method is used to summarize macro-meso-micro multi-level and multi-source heterogeneous information,extract the elements of complex scenarios of medical surge and evaluate the rationality.Fault Tree Analysis method is used to clarify the logical relationship between various scenario elements and construct scenario reasoning paths.Results 10 scenario states,11 disaster-bearing,24 emergency management and 23 scenario results are summarized and extracted to form the key elements of complex surge scenarios.Among them,M4 expansion and coordinated scheduling of key positions,B2 conventional drug inventory emergency/insufficient core treatment drugs,B emergency medical material transportation breakage,S3 disease symptom spectrum shift to severe disease,R13 prevention and control awareness laxity,and M5 media information dissemination management are the key driving factors that promote a major turning point in the scenario.The most positive scenario result is the orderly operation of the medical service system,and the most negative scenario result is the paralysis of the medical service system.Conclusion Medical institutions need to improve emergency plans based on the complex evolution scenarios of medical surges and agile governance capabilities targeting key turning points,focus on dynamically expanding and scheduling personnel in key positions,strengthen material rotation and reserve mechanisms,maintain smooth emergency logistics channels,and improve efficient management of media and public opinion,so as to comprehensively improve overall resilience.

This study investigated the prevalence and potential mechanisms of gentamicin heterore-sistance in Streptococcus isolates from dairy cows.In this study,A total of 39 Streptococcus isola-ted from raw milk were collected,and the minimum inhibitory concentration(MIC)of gentamicin and other drugs on the isolates was determined by micro broth dilution method,and the K-B paper diffusion method,colony analysis profile(PAP),and resistance stability test were used to investigate the heteroresistance characteristics of Streptococcus,and the mechanism of heteroresis-tance was analyzed based on whole genome sequencing and resequencing.Seven suspected heterore-sistance strains were identified by K-B paper diffusion method,accounting for 17.95％(7/39)of the total number of suspected strains.PAP confirmed that the MIC to MNIC ratio of L147,L108 and L174 was greater than 8,and the frequency of resistant subgroups ranged from 1.38×10-5 to 8.18 × 10-5,which was greater than 1 × 10-7,confirming that they were heteroresistance strains.Resistance stability tests revealed that the resistant subpopulations of all three strains were not stably inherited.Whole-genome sequencing revealed mutations in the ribosomal target genes of aminoglycoside antibiotics,rsmA,rsmB and rsmE,compared with the reference genome,which may lead to heteroresistance to gentamicin in Streptococcus.The occurrence of heteroresistance of Streptococcus to gentamicin is high in dairy sources,so more attention should be paid to the occur-rence of heteroresistance when using gentamicin for clinical treatment.

This study investigated the prevalence and potential mechanisms of gentamicin heterore-sistance in Streptococcus isolates from dairy cows.In this study,A total of 39 Streptococcus isola-ted from raw milk were collected,and the minimum inhibitory concentration(MIC)of gentamicin and other drugs on the isolates was determined by micro broth dilution method,and the K-B paper diffusion method,colony analysis profile(PAP),and resistance stability test were used to investigate the heteroresistance characteristics of Streptococcus,and the mechanism of heteroresis-tance was analyzed based on whole genome sequencing and resequencing.Seven suspected heterore-sistance strains were identified by K-B paper diffusion method,accounting for 17.95％(7/39)of the total number of suspected strains.PAP confirmed that the MIC to MNIC ratio of L147,L108 and L174 was greater than 8,and the frequency of resistant subgroups ranged from 1.38×10-5 to 8.18 × 10-5,which was greater than 1 × 10-7,confirming that they were heteroresistance strains.Resistance stability tests revealed that the resistant subpopulations of all three strains were not stably inherited.Whole-genome sequencing revealed mutations in the ribosomal target genes of aminoglycoside antibiotics,rsmA,rsmB and rsmE,compared with the reference genome,which may lead to heteroresistance to gentamicin in Streptococcus.The occurrence of heteroresistance of Streptococcus to gentamicin is high in dairy sources,so more attention should be paid to the occur-rence of heteroresistance when using gentamicin for clinical treatment.

Objective Exploring the components of complex scenarios of healthcare surges triggered by major epidemics to provide a theorical basis for building resilience in healthcare organizations.Methods A hybrid analysis method is used to summarize macro-meso-micro multi-level and multi-source heterogeneous information,extract the elements of complex scenarios of medical surge and evaluate the rationality.Fault Tree Analysis method is used to clarify the logical relationship between various scenario elements and construct scenario reasoning paths.Results 10 scenario states,11 disaster-bearing,24 emergency management and 23 scenario results are summarized and extracted to form the key elements of complex surge scenarios.Among them,M4 expansion and coordinated scheduling of key positions,B2 conventional drug inventory emergency/insufficient core treatment drugs,B emergency medical material transportation breakage,S3 disease symptom spectrum shift to severe disease,R13 prevention and control awareness laxity,and M5 media information dissemination management are the key driving factors that promote a major turning point in the scenario.The most positive scenario result is the orderly operation of the medical service system,and the most negative scenario result is the paralysis of the medical service system.Conclusion Medical institutions need to improve emergency plans based on the complex evolution scenarios of medical surges and agile governance capabilities targeting key turning points,focus on dynamically expanding and scheduling personnel in key positions,strengthen material rotation and reserve mechanisms,maintain smooth emergency logistics channels,and improve efficient management of media and public opinion,so as to comprehensively improve overall resilience.

Objective To determine the diagnostic criteria of quantitative syndrome differentiation of toxin syndrome of diabetic kidney disease.Methods The questionnaire scale was developed through literature research and expert consultation.Points were assigned for the 5 major symptoms in 294 patients with DKD,and according to the TCM syndrome differentiation standard of toxic syndrome syndrome formulated by experts,it is divided into toxic syndrome group and non-toxic syndrome group.The symptom items were screened from the aspects of sensitivity,differentiation and representativeness by statistical method,and the weight value of the items was given by factor analysis.The threshold and the best diagnosis model were determined under the ROC curve.Finally,through the verification group data to verify the scale model,evaluate the diagnostic ability of the scale,and finally construct the diagnostic standard scale model of DKD toxin syndrome.Results 14 symptom items were selected as TCM related symptoms of DKD toxin syndrome,and the diagnostic threshold was determined to be 140.The diagnostic criteria of quantitative syndrome differentiation of DKD toxin syndrome were as follows:total score=fatigue * 10+edema * 10+turbid urine * 10+sore waist and knees * 10+dizziness * 10+tongue purple * 10+dark complexion * 9+limb numbness * 8+loose stools * 7+dry mouth * 4+dry eyes * 4+frequent urination at night * 3+abdominal distension * 3+greasy moss * 3.The degree of each item without this symptom should be multiplied by weight value by 0,mild by weight by 1,moderate by weight by 2,severe by weight by 3,and the total score≥140 could be diagnosed as toxin syndrome.The verification results showed that the sensitivity of the study group was 92.24%,the specificity was 96.19%,the Kappa value was 0.882,and the sensitivity,specificity and Kappa value of the verification group were 87.50%,96.97%and 0.836,respectively.Conclusion The standard scale of DKD toxin syndrome differentiation and diagnosis is constructed,and it has good diagnostic ability,which provides certain application value for clinical and scientific research.

Objective To determine the diagnostic criteria of quantitative syndrome differentiation of toxin syndrome of diabetic kidney disease.Methods The questionnaire scale was developed through literature research and expert consultation.Points were assigned for the 5 major symptoms in 294 patients with DKD,and according to the TCM syndrome differentiation standard of toxic syndrome syndrome formulated by experts,it is divided into toxic syndrome group and non-toxic syndrome group.The symptom items were screened from the aspects of sensitivity,differentiation and representativeness by statistical method,and the weight value of the items was given by factor analysis.The threshold and the best diagnosis model were determined under the ROC curve.Finally,through the verification group data to verify the scale model,evaluate the diagnostic ability of the scale,and finally construct the diagnostic standard scale model of DKD toxin syndrome.Results 14 symptom items were selected as TCM related symptoms of DKD toxin syndrome,and the diagnostic threshold was determined to be 140.The diagnostic criteria of quantitative syndrome differentiation of DKD toxin syndrome were as follows:total score=fatigue * 10+edema * 10+turbid urine * 10+sore waist and knees * 10+dizziness * 10+tongue purple * 10+dark complexion * 9+limb numbness * 8+loose stools * 7+dry mouth * 4+dry eyes * 4+frequent urination at night * 3+abdominal distension * 3+greasy moss * 3.The degree of each item without this symptom should be multiplied by weight value by 0,mild by weight by 1,moderate by weight by 2,severe by weight by 3,and the total score≥140 could be diagnosed as toxin syndrome.The verification results showed that the sensitivity of the study group was 92.24%,the specificity was 96.19%,the Kappa value was 0.882,and the sensitivity,specificity and Kappa value of the verification group were 87.50%,96.97%and 0.836,respectively.Conclusion The standard scale of DKD toxin syndrome differentiation and diagnosis is constructed,and it has good diagnostic ability,which provides certain application value for clinical and scientific research.

Objective:To explore the related factors of vascular complications after liver transplantation in children.Methods:This is a retrospective case series research. The clinical data of 89 pediatric liver transplant patients admitted to the Organ Transplantation Center, the Affiliated Hospital of Qingdao University from January 2016 to March 2024 were collected retrospectively. This study included 44 males and 45 females,aged from 4 months to 17 years. The ratio of graft to recipient weight was 0.6% to 7.7%. The primary diseases included 48 cases of biliary atresia and 41 cases of non-biliary atresia. The Wilcoxon rank sum test, χ2 test, and Fisher′s exact probability method were used for data analysis. Multivariate Logistic regression was used to analyze the related factors of vascular complications. Results:All 89 children with liver transplantation completed surgery successfully. There were 8 cases of arterial complications after surgery, including 6 cases of hepatic artery thrombosis and 2 cases of hepatic artery stenosis. There were 16 cases of portal vein complications after surgery, including 9 cases of portal vein stenosis and 7 cases of portal vein thrombosis. The results of univariate analysis showed that the age of the recipient ≤1 year was the relevant factor for hepatic arterial complications( χ 2=4.772, P=0.029). The age of the recipient ≤1 year, the age of the donor, the hepatic phase, and the time of cold ischemia were the relevant factors for the occurrence of portal vein complications( χ 2=7.270, Z=388.500, Z=838.000, Z=894.500;all P<0.05). The results of multivariate analysis showed that age(≤1 year vs. >1 year) and duration of cold ischemia(every additional 1 hour) were independent related factors for portal vein complications after liver transplantation in children(both P<0.05). Conclusion:Children aged ≤1 year and with prolonged cold ischemia are more likely to develop portal vein complications after liver transplantation.