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

Objective:To investigate the value of biparametric-MRI (bpMRI) based peritumoral radiomics for preoperative prediction of extraprostatic extension (EPE) in prostate cancer (PCa).Methods:In this cross-sectional study, consecutive bpMRI of patients undergoing prostatectomy for PCa were retrospectively collected from the First Medical Center (center 1) and the Third Medical Center (center 2) of Chinese PLA General Hospital. A total of 274 patients were finally enrolled. Patients at center 1 from January 2020 to December 2022 were randomly divided into a training set (149 cases) and an internal validation set (63 cases) by stratified random sampling. Patients at center 2 from January 2023 to March 2024 were assigned to the external test set (62 cases). Patients were categorized into EPE-positive group and EPE-negative group according to pathological assessment postoperatively. In the training set, there were 49 cases in EPE-positive group and 100 cases in EPE-negative group. In the internal validation set, there were 26 cases in EPE-positive group and 37 cases in EPE-negative group. In the external test set, there were 22 cases in EPE-positive group and 40 cases in EPE-negative group. Axial T 2WI and apparent diffusion coefficient (ADC) images were manually annotated to obtain index lesion regions of interest (ROIs), with the peritumoral ROIs subsequently delineated by semi-automatic segmentation technique. Radiomics features were extracted from intra-tumoral, peri-tumoral, and intra-tumoral plus peri-tumoral ROIs. The training set data was employed to select and optimize features to build the radiomics models. The logistic regression analysis was used to develop radiomics, clinical, and integrated models. The predictive performance was assessed by the area under the receiver operating characteristic curve (AUC) in the external test set, and compared by the DeLong test. The sensitivity and specificity were compared by the exact McNemar test. Results:In the external test set, the peri-tumoral radiomics model based on bpMRI showed the highest performance in evaluating EPE, with an AUC of 0.739 (95% CI 0.611-0.842), which was identified as the optimal radiomics model. EPE grade ( OR=6.151, 95% CI 3.371-11.226, P<0.001) was incorporated into the clinical model, with an AUC of 0.780 (95% CI 0.657-0.875) in the external test set. The integrated model had an AUC of 0.817 (95% CI 0.698-0.904) in the external test set. There was no statistically significant difference in comparisons of AUCs among the three models (all P>0.05). The sensitivity of the integrated model (68.2%) showed no significant difference from those of the clinical model and the optimal radiomics model (77.3% and 86.4%, respectively; P=0.500 and P=0.289). However, the specificity of the integrated model (85.0%) was significantly higher than those of the clinical model (67.5%, P=0.016) and the optimal radiomics model (50.0%, P<0.001). Conclusion:A bpMRI-based peritumoral radiomics integrating clinical model demonstrates high performance for preoperative prediction of EPE in PCa.

Objective To investigate the status of management of iodinated contrast media(ICM)extravasation in Henan Province,as well as nurses' knowledge and influencing factors,in order to provide a basis for optimizing management strategies.Methods A self-designed questionnaire was applied,employing convenience sampling,to survey nursing administrators and nurses in the radiology departments of 55 tertiary hospitals across 16 regions of Henan Province,from December 2024 to January 2025.Multiple linear regression analysis was conducted to explore the factors influencing nurses' knowledge.Results A total of 55 nursing administrators and 64 nurses participated,with a valid questionnaire response rate of 100％.The survey results reveal that only 5.45％of radiology depart-ments utilized high-pressure central venous catheters,and 32.73％employed vascular visualization techniques.When setting the high-pressure injection speed for ICM,only 54.55％of radiology departments required an assessment of the type and model of intravenous access.Additionally,only 9.09％of radiology departments mandated an observa-tion for 2 to 4 hours following ICM extravasation.Furthermore,only 50.91％of radiology departments had estab-lished an information system for ICM use.The nurses' knowledge score regarding the prevention and management of ICM extravasation was(90.00±17.59),influenced by years of experience in radiology and professional titles(P＜0.05).Conclusion The prevention and management measures for ICM in radiology departments in Henan Province need further improvement.Nursing administrators should optimize management strategies,improve relevant training systems,and continuously enhance nurses' knowledge and practical abilities.

Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.

Objective:To evaluate the efficacy of eculizumab in treating hematopoietic stem cell transplantation-associated thrombotic microangiopathy (TA-TMA) .Methods:This retrospective study included 11 patients who developed TA-TMA after allogeneic hematopoietic stem cell transplantation and subsequently received eculizumab treatment at Peking University People′s Hospital between June 2018 and May 2024. The incidence of TA-TMA, treatment details, and clinical outcomes were analyzed.Results:Among the 11 included patients [4 males, 7 females; median age: 29 years (range: 9-56) ], underlying diseases were severe aplastic anemia (SAA) in 5 patients, acute lymphoblastic leukemia (ALL) in 3 patients, and acute myeloid leukemia (AML) in 3 patients. The median time to TA-TMA diagnosis was 48 days post-transplantation (range: 4-213 days), and all patients met the diagnostic criteria for high-risk TA-TMA. The median interval from TA-TMA diagnosis to the initiation of eculizumab treatment was 12 days (range: 1-56 days). Patients received a median of 3 doses of eculizumab (range: 1-14). Ten of the 11 patients were assessed as having no response (NR) to eculizumab at the end of treatment or at death. One patient achieved a partial response (PR) but subsequently died after TA-TMA relapsed due to infection. At the last follow-up, all patients were either lost to follow-up or had died. The median follow-up duration was 88 days (range: 33-326 days), and the median time from TA-TMA diagnosis to the last follow-up was 31 days (range: 21-113 days) .Conclusion:Eculizumab demonstrated poor efficacy in this TA-TMA cohort. This might be attributable to the critical and complex condition of the patients, delayed initiation of eculizumab treatment, and insufficient dosage.

Objective To investigate the distribution characteristics of model numbers associated with the third-generation Oxford unicompartmental knee arthroplasty(UKA)prostheses,in order to provide evidence-based guidance for the selection of appropriate UKA prostheses in clinical practice.Methods A retrospective analysis was conducted on data from 270 patients who underwent UKA using third-generation Oxford prostheses and fulfilled the inclusion criteria between April 2019 and September 2023.Patient characteristics,including gender,age,height,weight,affected side,and prosthesis model numbers,were collected and recorded.The distribution and matching patterns of femoral and tibial prosthesis model numbers were evaluated.Multiple ordinal logistic regres-sion analyses and receiver operating characteristic(ROC)curves were employed to identify significant predictors influencing the selection of femoral component models.Additionally,a parameter distribution map related to UKA prosthesis model numbers was developed.Results Among the femoral prostheses,the XS size accounted for 21.5％,S for 44.1％,M for 26.3％,and L for 8.1％.Regarding tibial prostheses,AA represented 11.1％,A 23.7％,B 29.3％,C 18.9％,D 10.4％,and E 6.7％.The matching rates between tibial and femoral components were as follows:93.3％for tibial AA corresponding to femoral XS,96.0％for tibial A/B corresponding to femoral S,95.8％for tibial C/D corresponding to femoral M,and 91.7％for tibial E corresponding to femoral L,resulting in an overall matching rate of 95.2％.Height(AUC=90.63％),gender(AUC=81.59％),and weight(AUC=84.47％)showed significant correlations with femoral model selection(P＜0.01),whereas age and side did not demonstrate statistical significance.The S femoral model was predominantly used in female patients(59.6％),while the M and L models were more commonly utilized in male patients(65.2％).When female patients' height was ≤160 cm,the combined usage rate of the XS and S models exceeded 90％.For male patients taller than 175 cm,the utilization rate of the L model reached 88.9％.The accuracy rate of preoperative prediction based on height and gender was 70.7％,which improved to 77.0％when incorporating intraoperative tibial model information.Conclusions The distribution of UKA prostheses in the study population differed from that observed in Western populations,as well as from other regions in Asia and China.The distribution map of UKA prostheses and the corresponding matching rules established in this study demonstrate a high level of predictive accuracy,which can effectively support preoperative planning and intraoperative selection of femoral prosthesis model numbers.

Objective To investigate the correlations of calmodulin 1(CNN1)and asymmetric dimethylarginine(ADMA)expression with Wnt/β-catenin pathway in tissues of gastric cancer and their values for prognosis.Methods Surgical specimens and serum samples from 110 patients with gastric cancer,along with serum samples from 60 healthy individuals in the hospital were collected.Immunohistochemistry and real-time fluorescent quantitative PCR were used to detect the expression levels of CNN1 protein and CNN1 mRNA in gastric cancer tissues respectively;the enzyme-linked immunosorbent assay(ELISA)was used to detect the expression of ADMA in the serum of gastric cancer patients.The relationships of the CNN1 and ADMA expression with the clinicopathological characteristics in gastric cancer patients were analyzed.Kaplan-Meier survival curve was used to an-alyze the influence of CNN1 and ADMA expression on prognosis of gastric cancer patients;Cox re-gression analysis was used to explore independent factors affecting the prognosis of gastric cancer pa-tients;the Pearson correlation analysis was used to explore the correlation between CNN1 and ADMA expression in gastric cancer tissues,and to analyze the correlations of CNN1 mRNA and ADMA mRNA with Wnt/β-catenin signaling pathway-related indicators.Results The positive ex-pression rate of CNN1 protein in gastric cancer tissues was 38.18％(42/110),which was signifi-cantly lower than 57.27％(63/110)in adjacent tissues(x2=8.035,P=0.005).The serum ADMA level in gastric cancer patients was(0.54±0.17)μmol/L,which was significantly higher than(0.42±0.14)μmol/L in healthy individuals(t=4.752,P＜0.001).Patients with lymph node metastasis and advanced tumor stages had significantly decreased CNN1 protein positivity in gastric cancer tissues and increased serum ADMA expression(P＜0.05).The survival rate was 73.80％in the high CNN1 expression group(n=42),which was significantly higher than 39.71％in the low CNN1 expression group(n=68)(x2=22.300,P＜0.001);the survival rate was 45.68％in the high ADMA expression group(n=81),which was significantly lower than 72.41％in the low ADMA expression group(n=29)(x2=4.791,P=0.029).Univariate and multivariate Cox regression analysis showed that lymph node metastasis,advanced tumor staging,low CNN1 pro-tein expression,and high serum ADMA expression were independent risk factors for poor prognosis in gastric cancer patients(P＜0.05).The expression level of CNN1 mRNA in gastric cancer tissues was(0.41±0.13),which was significantly lower than(1.16±0.35)in adjacent tissues(t=21.068,P＜0.001).The expression levels of wnt3a mRNA and β-catenin mRNA in gastric cancer tissues were(2.02±0.42)and(2.59±0.58)respectively,both were significantly higher than(1.25±0.28)and(1.18±0.42)in adjacent tissues(t=15.999,P＜0.001;t=20.651,P＜0.001).CNN1 expression in gastric cancer tissues was negatively correlated with serum ADMA ex-pression in gastric cancer patients(r=-0.794,P＜0.001);CNN1 mRNA expression in gastric cancer tissues was negatively correlated with the expression of Wnt/β-catenin signaling pathway-re-lated indicators wnt3a mRNA and β-catenin mRNA(P＜0.001);serum ADMA mRNA expression in gastric cancer patients was positively correlated with the expression of Wnt/β-catenin signaling pathway-related indicators wnt3a mRNA and β-catenin mRNA(r=0.763,P＜0.001;r=0.874,P＜0.001).Conclusion The decreased expression of CNN1 and the increased expression of ser-um ADMA are independent risk factors for poor prognosis in gastric cancer patients,and their ex-pression levels are related to lymph node metastasis and tumor TNM staging.The expression levels of CNN 1 and ADMA are negatively correlated in gastric cancer tissues,which may be mediated by reg-ulating the Wnt/β-catenin signaling pathway.

Objective To investigate the value of serum ribosomal biogenesis factor nucleolar protein53(NOP53)mRNA and fibronectin type Ⅲ domain containing 1(FNDC1)mRNA in evaluating the efficacy of neoadjuvant chemoradiotherapy(NACRT)in patients with locally advanced rectal cancer.Methods A total of 140 patients with locally advanced rectal cancer who received NACRT treatment in Yulin Hospital the First Affiliated Hospital of Xi'an Jiaotong University from January 2020 to January 2023 were selected as the study group.According to the efficacy of NACRT treatment,they were divided into good response group(99 cases)and poor response group(41 cases).At the same time,70 healthy people were selected as control group.Real-time fluorescence quantitative PCR was used to detect serum NOP53 mRNA and FNDC1 mRNA levels in the two groups.Logistic regression analysis was used to analyze the factors affecting the efficacy of NACRT.The value of serum NOP53 mRNA and FNDC1 mRNA in evaluating the efficacy of NACRT for rectal cancer was analyzed by receiver operating characteristic analysis.Results The expression of serum NOP53 mRNA(3.21±0.36)and FNDC1 mRNA(2.73±0.34)in the study group was higher than that in the control group(0.61±0.17,0.72±0.18),and the differences were statistically significant(t=57.267,46.287,all P<0.001).The expression of serum NOP53 mRNA(4.08±0.43,4.10±0.40)and FNDC1 mRNA(3.62±0.39,3.40±0.39)in patients with T stage T4 and N stage N1+N2 rectal cancer was higher than that in patients with T stage T3(2.52±0.30,2.02±0.29)and N stage N0(2.21±0.31,1.02±0.30),and the differences were statistically significant(t=25.241～40.106,all P<0.001).The proportion of T stage T4(73.17%),N stage N1+N2(75.61%),serum NOP53 mRNA(5.56±0.39)and FNDC1 mRNA(4.42±0.38)in the poor response group were higher than those in the good response group(32.32%,43.43%,2.24±0.31,2.03±0.29),and the differences were statistically significant(t=12.045～53.337,all P<0.001).T stage T4,N stage N1+N2,high serum NOP53 mRNA,high serum FNDC1 mRNA were risk factors affecting the efficacy of NACRT for rectal cancer(Wald χ2=9.463～15.589,all P<0.001).The AUC of serum NOP53 mRNA combined with FNDC1 mRNA in evaluating the efficacy of NACRT for rectal cancer higher than predicted by serum NOP53 mRNA and FNDC1 mRNA alone,and the differences were statistically significant(Z=4.645,4.321,all P<0.001).Conclusion The levels of serum NOP53 mRNA and FNDC1 mRNA in patients with locally advanced rectal cancer are increased,which are related to the poor clinicopathological features of patients.Combined with serum NOP53 mRNA,FNDC1 mRNA can effectively predict the clinical efficacy of NACRT in patients with rectal cancer.

Objective To investigate the distribution characteristics of model numbers associated with the third-generation Oxford unicompartmental knee arthroplasty(UKA)prostheses,in order to provide evidence-based guidance for the selection of appropriate UKA prostheses in clinical practice.Methods A retrospective analysis was conducted on data from 270 patients who underwent UKA using third-generation Oxford prostheses and fulfilled the inclusion criteria between April 2019 and September 2023.Patient characteristics,including gender,age,height,weight,affected side,and prosthesis model numbers,were collected and recorded.The distribution and matching patterns of femoral and tibial prosthesis model numbers were evaluated.Multiple ordinal logistic regres-sion analyses and receiver operating characteristic(ROC)curves were employed to identify significant predictors influencing the selection of femoral component models.Additionally,a parameter distribution map related to UKA prosthesis model numbers was developed.Results Among the femoral prostheses,the XS size accounted for 21.5％,S for 44.1％,M for 26.3％,and L for 8.1％.Regarding tibial prostheses,AA represented 11.1％,A 23.7％,B 29.3％,C 18.9％,D 10.4％,and E 6.7％.The matching rates between tibial and femoral components were as follows:93.3％for tibial AA corresponding to femoral XS,96.0％for tibial A/B corresponding to femoral S,95.8％for tibial C/D corresponding to femoral M,and 91.7％for tibial E corresponding to femoral L,resulting in an overall matching rate of 95.2％.Height(AUC=90.63％),gender(AUC=81.59％),and weight(AUC=84.47％)showed significant correlations with femoral model selection(P＜0.01),whereas age and side did not demonstrate statistical significance.The S femoral model was predominantly used in female patients(59.6％),while the M and L models were more commonly utilized in male patients(65.2％).When female patients' height was ≤160 cm,the combined usage rate of the XS and S models exceeded 90％.For male patients taller than 175 cm,the utilization rate of the L model reached 88.9％.The accuracy rate of preoperative prediction based on height and gender was 70.7％,which improved to 77.0％when incorporating intraoperative tibial model information.Conclusions The distribution of UKA prostheses in the study population differed from that observed in Western populations,as well as from other regions in Asia and China.The distribution map of UKA prostheses and the corresponding matching rules established in this study demonstrate a high level of predictive accuracy,which can effectively support preoperative planning and intraoperative selection of femoral prosthesis model numbers.