Objective: To investigate the age, period, and birth cohort effect of the incidence, mortality, and disability-adjusted life years (DALY) of oral cancer among the Chinese elderly from 1992 to 2021. Methods: Data on oral cancer incidence, mortality, and DALY rate in the Chinese population aged ≥60 years from 1992 to 2021 were collected from the Global Burden of Disease 2021 (GBD 2021) database. The trends in the incidence, mortality, and DALY rate of oral cancer were analyzed using the average annual percent change (AAPC) and the age-period-cohort (APC) model. Results: The incidence, mortality, and DALY rates of oral cancer among the Chinese elderly showed increasing trends (AAPC=2.262%, 0.548% and 0.360%, all P<0.05) from 1992 to 2021. The APC model revealed that the incidence, mortality, and DALY rate of oral cancer increased with age, peaking in the 85-<90 age group at 22.31/100 000, 16.69/100 000, and 171.41/100 000, respectively. Using the period 2002-2006 as the reference group, the risks of incidence, mortality, and disability of oral cancer showed increasing trends over time. The highest risk of incidence was observed in 2017-2021 (RR=1.450, 95%CI: 1.398-1.504), while the peak risks of mortality (RR=1.131, 95%CI: 1.097-1.166) and disability (RR=1.146, 95%CI: 1.118-1.175) both occurred in 2012-2016. With the 1925-1929 birth cohort as the reference group, the risk of oral cancer incidence showed an increasing trend with later birth years. The highest risk of incidence was observed in the 1955-1959 birth cohort (RR=1.788, 95%CI: 1.699-1.881). In contrast, the risks of mortality and disability exhibited relatively stable trends overall. Conclusions The disease burden of oral cancer among the Chinese elderly generally exhibited an increasing trend from 1992 to 2021, with particularly high burden observed among the elderly aged 85-<90 years. The incidence risk increased with time and year of birth.

OBJECTIVE:Researches show that a combination of platelet-rich plasma and adipose-derived stem cells can accelerate the healing of skin lesions.However,systematic evidence for the combination of the two is still lacking.The purpose of this study was to assess the efficacy of a combination of two interventions in a clinical rodent skin wound model.METHODS:We searched PubMed,Embase,Cochrane,and CNKI and selected the studies of platelet-rich plasma,adipose-derived stem cell transplantation,or their combination on skin wounds in experimental animals published until July 2023.Wound healing and wound transformation growth factor β,CD31,type Ⅰ collagen,and vascular endothelial growth factor were used as indicators.RevMan 5.3 and Stata 15.0 were used to analyze the data.RESULTS:A total of 12 studies were included,of which 8 studies used rats as experimental subjects and 4 studies used mice as experimental subjects.The experimental group was treated with platelet-rich plasma combined with adipose-stem cell transplantation,and the control group was treated with platelet-rich plasma alone.The results of meta-analysis showed that the wound healing rate of the experimental group at 3,7,and 10 days after treatment was greater than that of the control group[SMD=2.65,95％CI(1.29,4.01),Z=3.81,P=0.0001;SMD=3.38,95％CI(2.47,4.30),Z=7.24,P<0.00001;SMD=2.62,95％CI(1.50,3.73),Z=4.61,P<0.00001].The wound healing time of the experimental group was shorter than that of the control group[SMD=-2.12,95％CI(-3.5,-0.74),P=0.003].The expression of transforming growth factor β,positive rate of CD31,expression of type Ⅰ collagen,and vascular endothelial growth factor in wound of experimental group were higher than those of control group[SMD=5.65,95％CI(1.22,10.08),Z=2.50,P=0.01;SMD=2.49,95％CI(1.96,3.02),Z=9.28,P<0.00001;SMD=3.44,95％CI(0.72,6.17),Z=2.48,P=0.01;SMD=2.38,95％CI(0.97,3.79),Z=3.30,P=0.0010].CONCLUSION:Our results show that platelet-rich plasma+adipose-derived stem cells combined treatment can improve the wound healing rate,shorten the wound healing time,and at the same time increase the expression of transforming growth factor β,CD31,type Ⅰ collagen,and vascular endothelial growth factor to accelerate healing.Due to the limitations of the model,more animal testing and clinical trials are needed.

Objective To analyze the value of peripheral blood helper T cell 17(Th17)/regulatory T cell(Treg),programmed death receptor-1(PD-1)+CD3+,miR-146a,miR-122 and serum C-reactive protein(CRP)in the diagnosis of postoperative infection of endometrial cancer,and to explore the influencing factors of postoperative infection for endometrial cancer.Methods A total of 289 patients with endometrial cancer who underwent surgery from January 2021 to August 2024 were selected and divided into the infection group(n=53)and the non-infection group(n=236)according to the postoperative infection of the patients.Clinical data of two groups were collected and compared.The levels of Th17,Treg and PD-1+CD3+in peripheral blood of the two groups were detected by flow cytometry,and the ratio of Th17/Treg was calculated.The levels of miR-146a and miR-122 in peripheral blood of the two groups were detected by real-time fluorescence quantitative polymerase chain reaction(RT-qPCR).The serum CRP levels of the two groups were detected by enzyme-linked immunosorbent assay(ELISA),and the influencing factors of postoperative infection in endometrial cancer were analyzed by multivariate Logistic regression.The receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of peripheral blood Th17/Treg,PD-1+CD3+,miR-146a,miR-122 and serum CRP for postoperative infection of endometrial cancer.Results Compared with the non-infection group,the infection group had higher proportions of diabetes,anemia,adjuvant chemoradiotherapy,open abdominal surgery,drainage and catheterization time≥7 d,as well as higher levels of Th17,Th17/Treg,PD-1+CD3+,miR-122,and serum CRP(P<0.01),while the levels of Treg and miR-146a in peripheral blood were lower(P<0.01).Multivariate Logistic regression analysis showed that combined diabetes,anemia,adjuvant chemoradiotherapy,open abdominal surgery,drainage and catheterization time≥7 d,peripheral blood Th17/Treg,PD-1+CD3+,miR-122 and serum CRP levels were all risk factors for postoperative infection of endometrial cancer(P<0.05,P<0.01),while miR-146a in peripheral blood was its protective factor(P<0.05).ROC curve analysis showed that the area under the curve of the combined detection of Th17/Treg,PD-1+CD3+,miR-146a,miR-122 in peripheral blood and serum CRP was higher than that of the individual detection of Th17/Treg,PD-1+CD3+,miR-146a,miR-122 and serum CRP in peripheral blood(P<0.01).Conclusion Postoperative infection of endometrial cancer is closely related to the patients'combined diabetes,anemia,adjuvant chemoradiotherapy,open surgery,and drainage and catheterization time≥7 d.Moreover,Th17/Treg,PD-1+CD3+,miR-122 in peripheral blood and serum CRP are highly expressed in patients with postoperative infection of endometrial cancer,while miR-146a in peripheral blood is expressed at a low level.The combined detection of the five has more advantages in evaluating postoperative infection of endometrial cancer.

Stem cells play a crucial role in maintaining tissue regenerative capacity and homeostasis. However, mechanisms associated with stem cell senescence require further investigation. In this study, we conducted a proteomic analysis of human dental pulp stem cells (HDPSCs) obtained from individuals of various ages. Our findings showed that the expression of NUP62 was decreased in aged HDPSCs. We discovered that NUP62 alleviated senescence-associated phenotypes and enhanced differentiation potential both in vitro and in vivo. Conversely, the knocking down of NUP62 expression aggravated the senescence-associated phenotypes and impaired the proliferation and migration capacity of HDPSCs. Through RNA-sequence and decoding the epigenomic landscapes remodeled induced by NUP62 overexpression, we found that NUP62 helps alleviate senescence in HDPSCs by enhancing the nuclear transport of the transcription factor E2F1. This, in turn, stimulates the transcription of the epigenetic enzyme NSD2. Finally, the overexpression of NUP62 influences the H3K36me2 and H3K36me3 modifications of anti-aging genes (HMGA1, HMGA2, and SIRT6). Our results demonstrated that NUP62 regulates the fate of HDPSCs via NSD2-dependent epigenetic reprogramming.
Humans ; Dental Pulp/cytology* ; Nuclear Pore Complex Proteins/genetics* ; Cellular Senescence/genetics* ; Stem Cells/metabolism* ; Epigenesis, Genetic ; Cell Proliferation ; Cell Differentiation ; Histone-Lysine N-Methyltransferase/metabolism* ; Cells, Cultured ; Cellular Reprogramming ; Cell Movement ; Proteomics

Computational analysis can accurately detect drug-gene interactions (DGIs) cost-effectively. However, transductive learning models are the hotspot to reveal the promising performance for unknown DGIs (both drugs and genes are present in the training model), without special attention to the unseen DGIs (both drugs and genes are absent in the training model). In view of this, this study, for the first time, proposed an inductive learning-based model for the precise identification of unseen DGIs. In our study, by integrating disease nodes to avoid data sparsity, a multi-relational drug-disease-gene (DDG) graph was constructed to achieve effective fusion of data on DDG intro-relationships and inter-actions. Following the extraction of graph features by utilizing graph embedding algorithms, our next step was the retrieval of the attributes of individual gene and drug nodes. In this way, a hybrid feature characterization was represented by integrating graph features and node attributes. Machine learning (ML) models were built, enabling the fulfillment of transductive predictions of unknown DGIs. To realize inductive learning, this study generated an innovative idea of transforming known node vectors derived from the DDG graph into representations of unseen nodes using node similarities as weights, enabling inductive predictions for the unseen DGIs. Consequently, the final model was superior to existing models, with significant improvement in predicting both external unknown and unseen DGIs. The practical feasibility of our model was further confirmed through case study and molecular docking. In summary, this study establishes an efficient data-driven approach through the proposed modeling, suggesting its value as a promising tool for accelerating drug discovery and repurposing.

Computational analysis can accurately detect drug-gene interactions(DGIs)cost-effectively.However,transductive learning models are the hotspot to reveal the promising performance for unknown DGIs(both drugs and genes are present in the training model),without special attention to the unseen DGIs(both drugs and genes are absent in the training model).In view of this,this study,for the first time,proposed an inductive learning-based model for the precise identification of unseen DGIs.In our study,by integrating disease nodes to avoid data sparsity,a multi-relational drug-disease-gene(DDG)graph was constructed to achieve effective fusion of data on DDG intro-relationships and inter-actions.Following the extraction of graph features by utilizing graph embedding algorithms,our next step was the retrieval of the attributes of individual gene and drug nodes.In this way,a hybrid feature charac-terization was represented by integrating graph features and node attributes.Machine learning(ML)models were built,enabling the fulfillment of transductive predictions of unknown DGIs.To realize inductive learning,this study generated an innovative idea of transforming known node vectors derived from the DDG graph into representations of unseen nodes using node similarities as weights,enabling inductive predictions for the unseen DGIs.Consequently,the final model was superior to existing models,with significant improvement in predicting both external unknown and unseen DGIs.The practical feasibility of our model was further confirmed through case study and molecular docking.In summary,this study establishes an efficient data-driven approach through the proposed modeling,suggesting its value as a promising tool for accelerating drug discovery and repurposing.

OBJECTIVE:Researches show that a combination of platelet-rich plasma and adipose-derived stem cells can accelerate the healing of skin lesions.However,systematic evidence for the combination of the two is still lacking.The purpose of this study was to assess the efficacy of a combination of two interventions in a clinical rodent skin wound model.METHODS:We searched PubMed,Embase,Cochrane,and CNKI and selected the studies of platelet-rich plasma,adipose-derived stem cell transplantation,or their combination on skin wounds in experimental animals published until July 2023.Wound healing and wound transformation growth factor β,CD31,type Ⅰ collagen,and vascular endothelial growth factor were used as indicators.RevMan 5.3 and Stata 15.0 were used to analyze the data.RESULTS:A total of 12 studies were included,of which 8 studies used rats as experimental subjects and 4 studies used mice as experimental subjects.The experimental group was treated with platelet-rich plasma combined with adipose-stem cell transplantation,and the control group was treated with platelet-rich plasma alone.The results of meta-analysis showed that the wound healing rate of the experimental group at 3,7,and 10 days after treatment was greater than that of the control group[SMD=2.65,95％CI(1.29,4.01),Z=3.81,P=0.0001;SMD=3.38,95％CI(2.47,4.30),Z=7.24,P<0.00001;SMD=2.62,95％CI(1.50,3.73),Z=4.61,P<0.00001].The wound healing time of the experimental group was shorter than that of the control group[SMD=-2.12,95％CI(-3.5,-0.74),P=0.003].The expression of transforming growth factor β,positive rate of CD31,expression of type Ⅰ collagen,and vascular endothelial growth factor in wound of experimental group were higher than those of control group[SMD=5.65,95％CI(1.22,10.08),Z=2.50,P=0.01;SMD=2.49,95％CI(1.96,3.02),Z=9.28,P<0.00001;SMD=3.44,95％CI(0.72,6.17),Z=2.48,P=0.01;SMD=2.38,95％CI(0.97,3.79),Z=3.30,P=0.0010].CONCLUSION:Our results show that platelet-rich plasma+adipose-derived stem cells combined treatment can improve the wound healing rate,shorten the wound healing time,and at the same time increase the expression of transforming growth factor β,CD31,type Ⅰ collagen,and vascular endothelial growth factor to accelerate healing.Due to the limitations of the model,more animal testing and clinical trials are needed.

Objective:This study aimed to compare short-chain fatty acid (SCFA) levels in saliva between patients with laryngopharyngeal reflux disease (LPRD) and healthy controls, and to explore the relationship between these SCFAs and the salivary microbiota.Methods:A retrospective case-control study was conducted, enrolling 36 patients with laryngopharyngeal reflux disease (LPRD) who visited the Department of Otorhinolaryngology Head and Neck Surgery, the Eighth Medical Center, Chinese PLA General Hospital between February and November 2023. All patients were diagnosed via pharyngeal pH monitoring. The LPRD group included 30 males and 6 females, aged 20-53 years (30.61±7.83 years). In addition, 39 healthy volunteers were recruited as the control group, comprising 25 males and 14 females, aged 18–58 years (28.64±7.97 years). Unstimulated mixed saliva samples were collected from all participants. Concentrations of eight SCFAs (acetic acid, propionic acid, isobutyric acid, butyric acid, valeric acid, isovaleric acid, hexanoic acid, and heptanoic acid) in saliva were quantified using gas chromatography-mass spectrometry (GC-MS). Salivary DNA was extracted, followed by amplification and sequencing of the 16S rRNA gene to analyze the microbiota composition at the genus level. The SCFA concentrations and the differences in bacterial species between the LPRD and control groups were compared, and the correlation between SCFA concentrations and the relative abundance of different bacterial genera in the salivary microbiota was analyzed. All statistical analyses were performed using R version 3.6.1 and SPSS version 26.0, while, microbiome analyses were conducted using R language.Results:Salivary hexanoic acid concentration was significantly higher in the LPRD group than in the control group [(29.50±19.61) ng/ml vs. (10.15±3.65) ng/ml; t=-2.72, P<0.05]. Significant differences in the relative abundance of 17 bacterial genera were observed between the two groups ( P<0.05), including Prevotella, Butyrivibrio, Streptococcus, and Actinomyces. Correlation analysis revealed that hexanoic acid concentration was significantly positively correlated with the abundance of Butyrivibrio (γ=0.73, P<0.05) and Streptococcus (γ=0.78, P<0.05), while showing a significant negative correlation with Actinomyces (γ=-0.73, P<0.05). Conclusion:Elevated salivary hexanoic acid levels may be associated with the development of LPRD. Dysbiosis of the salivary microbiota might contribute to LPRD pathogenesis by altering the concentrations of SCFA, particularly hexanoic acid.

Objective To analyze the value of peripheral blood helper T cell 17(Th17)/regulatory T cell(Treg),programmed death receptor-1(PD-1)+CD3+,miR-146a,miR-122 and serum C-reactive protein(CRP)in the diagnosis of postoperative infection of endometrial cancer,and to explore the influencing factors of postoperative infection for endometrial cancer.Methods A total of 289 patients with endometrial cancer who underwent surgery from January 2021 to August 2024 were selected and divided into the infection group(n=53)and the non-infection group(n=236)according to the postoperative infection of the patients.Clinical data of two groups were collected and compared.The levels of Th17,Treg and PD-1+CD3+in peripheral blood of the two groups were detected by flow cytometry,and the ratio of Th17/Treg was calculated.The levels of miR-146a and miR-122 in peripheral blood of the two groups were detected by real-time fluorescence quantitative polymerase chain reaction(RT-qPCR).The serum CRP levels of the two groups were detected by enzyme-linked immunosorbent assay(ELISA),and the influencing factors of postoperative infection in endometrial cancer were analyzed by multivariate Logistic regression.The receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of peripheral blood Th17/Treg,PD-1+CD3+,miR-146a,miR-122 and serum CRP for postoperative infection of endometrial cancer.Results Compared with the non-infection group,the infection group had higher proportions of diabetes,anemia,adjuvant chemoradiotherapy,open abdominal surgery,drainage and catheterization time≥7 d,as well as higher levels of Th17,Th17/Treg,PD-1+CD3+,miR-122,and serum CRP(P<0.01),while the levels of Treg and miR-146a in peripheral blood were lower(P<0.01).Multivariate Logistic regression analysis showed that combined diabetes,anemia,adjuvant chemoradiotherapy,open abdominal surgery,drainage and catheterization time≥7 d,peripheral blood Th17/Treg,PD-1+CD3+,miR-122 and serum CRP levels were all risk factors for postoperative infection of endometrial cancer(P<0.05,P<0.01),while miR-146a in peripheral blood was its protective factor(P<0.05).ROC curve analysis showed that the area under the curve of the combined detection of Th17/Treg,PD-1+CD3+,miR-146a,miR-122 in peripheral blood and serum CRP was higher than that of the individual detection of Th17/Treg,PD-1+CD3+,miR-146a,miR-122 and serum CRP in peripheral blood(P<0.01).Conclusion Postoperative infection of endometrial cancer is closely related to the patients'combined diabetes,anemia,adjuvant chemoradiotherapy,open surgery,and drainage and catheterization time≥7 d.Moreover,Th17/Treg,PD-1+CD3+,miR-122 in peripheral blood and serum CRP are highly expressed in patients with postoperative infection of endometrial cancer,while miR-146a in peripheral blood is expressed at a low level.The combined detection of the five has more advantages in evaluating postoperative infection of endometrial cancer.

Objective:This study aimed to compare short-chain fatty acid (SCFA) levels in saliva between patients with laryngopharyngeal reflux disease (LPRD) and healthy controls, and to explore the relationship between these SCFAs and the salivary microbiota.Methods:A retrospective case-control study was conducted, enrolling 36 patients with laryngopharyngeal reflux disease (LPRD) who visited the Department of Otorhinolaryngology Head and Neck Surgery, the Eighth Medical Center, Chinese PLA General Hospital between February and November 2023. All patients were diagnosed via pharyngeal pH monitoring. The LPRD group included 30 males and 6 females, aged 20-53 years (30.61±7.83 years). In addition, 39 healthy volunteers were recruited as the control group, comprising 25 males and 14 females, aged 18–58 years (28.64±7.97 years). Unstimulated mixed saliva samples were collected from all participants. Concentrations of eight SCFAs (acetic acid, propionic acid, isobutyric acid, butyric acid, valeric acid, isovaleric acid, hexanoic acid, and heptanoic acid) in saliva were quantified using gas chromatography-mass spectrometry (GC-MS). Salivary DNA was extracted, followed by amplification and sequencing of the 16S rRNA gene to analyze the microbiota composition at the genus level. The SCFA concentrations and the differences in bacterial species between the LPRD and control groups were compared, and the correlation between SCFA concentrations and the relative abundance of different bacterial genera in the salivary microbiota was analyzed. All statistical analyses were performed using R version 3.6.1 and SPSS version 26.0, while, microbiome analyses were conducted using R language.Results:Salivary hexanoic acid concentration was significantly higher in the LPRD group than in the control group [(29.50±19.61) ng/ml vs. (10.15±3.65) ng/ml; t=-2.72, P<0.05]. Significant differences in the relative abundance of 17 bacterial genera were observed between the two groups ( P<0.05), including Prevotella, Butyrivibrio, Streptococcus, and Actinomyces. Correlation analysis revealed that hexanoic acid concentration was significantly positively correlated with the abundance of Butyrivibrio (γ=0.73, P<0.05) and Streptococcus (γ=0.78, P<0.05), while showing a significant negative correlation with Actinomyces (γ=-0.73, P<0.05). Conclusion:Elevated salivary hexanoic acid levels may be associated with the development of LPRD. Dysbiosis of the salivary microbiota might contribute to LPRD pathogenesis by altering the concentrations of SCFA, particularly hexanoic acid.