Objective: To investigate the role of butyric acid-producing bacteria in long bone homeostasis in mice with periodontitis under a high-fat/high-sugar diet and to provide new insights for the prevention and treatment of periodontitis and related bone metabolic diseases. Methods: This study has been approved by the Animal Welfare and Ethics Committee of the Experimental Animal Center. Initially, 14 mice were randomly divided into the CON group (the control group) and the LIG group (the periodontitis group). Mice in the LIG group had experimental periodontitis induced by ligating the second maxillary molars bilaterally and were fed a high-fat and high-sugar diet. After 8 weeks, samples were collected. Micro-computed tomography (Micro-CT) was used to analyze alveolar bone resorption and various parameters of the proximal tibia trabecular bone, including bone mineral density (BMD), bone volume per tissue volume (BV/TV), trabecular number (Tb.N), trabecular thickness (Tb.Th), and trabecular separation (Tb.Sp). After decalcification, hematoxylin and eosin (HE) staining was performed on maxillary bone sections to assess periodontal tissue inflammation and connective tissue destruction. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to detect related genes in the distal femur and proximal tibia bone tissues, including osteocalcin (OCN), osteogenic transcription factor (Osterix), osteoprotegerin (OPG), tartrate resistant acid phosphatase (TRAP), osteoclast-associated receptor (OSCAR), receptor activator of nuclear factor kappa-B (RANK), and receptor activator of nuclear factor kappa-B ligand (RANK-L). Subsequently, the other 28 mice were randomly divided into the CON group (the control group), LIG group (the periodontitis group), CON + butyric acid-producing bacteria (BP) group, and LIG + BP group. The breeding, sampling, and sample detection methods remained the same. Finally, the other 28 mice were randomly divided into the CON group (the control group), LIG group (the periodontitis group), CON + sodium butyrate (SB) group, and LIG + SB group. The breeding, sampling, and sample detection methods remained the same. Results: ①Periodontitis modeling was successful. Compared with the CON group, the LIG group exhibited significant alveolar bone resorption of the maxillary second molar, aggravated periodontal tissue inflammation, and connective tissue destruction. ②Periodontitis exacerbated long bone resorption in mice fed a high-fat high-sugar diet. Compared with the CON group, the LIG group had significantly lower BMD, BV/TV, Tb.N, and Tb.Th (P<0.05), and significantly higher Tb.Sp (P<0.05). HE staining of the proximal tibia showed that the trabeculae in the LIG group were sparse and disordered, with some areas showing fractures or dissolution. The expression of osteoblast markers (OCN, Osterix, OPG) was significantly lower in the LIG group (P<0.05), while the expression of the osteoclast marker TRAP showed an increasing trend (P>0.05). The ratio of RANK-L/OPG was significantly higher in the LIG group compared with the CON group (P<0.05). ③ Supplementation with butyric acid-producing bacteria alleviates periodontitis-induced disruption of long bone homeostasis in mice fed a high-fat/high-sugar diet. Compared with the LIG group, BMD and Tb.Th were significantly higher in the LIG + BP group. HE staining of the proximal tibia showed that bone resorption was mitigated in the LIG + BP group compared with the LIG group. The expression of OCN and Osterix was significantly higher in the LIG + BP group, while the expression of osteoclast-specific genes (OSCAR, RANK, RANK-L) was significantly lower (P<0.05). ④ Supplementation with butyrate alleviates periodontitis-induced disruption of long bone homeostasis in mice fed a high-fat/high-sugar diet. Compared with the LIG group, BV/TV and Tb.N were significantly higher in the LIG + SB group, and Tb.Sp was significantly lower (P<0.05). HE staining of the proximal tibia showed that bone resorption was mitigated in the LIG + SB group compared with the LIG group. The expression of Osterix, OPG, OSCAR, TRAP, and RANK was significantly lower in the LIG + SB group compared with the LIG group (P<0.05). Conclusion Periodontitis disrupts the long bone homeostasis of mice fed a high-fat high-sugar diet, aggravating long bone resorption. Supplementation with butyric acid-producing bacteria or butyrate can effectively alleviate the disruption of long bone homeostasis caused by periodontitis.

Intestinal fibrosis is a significant clinical challenge in inflammatory bowel diseases, but no effective anti-fibrotic therapy is currently available. Glucagon receptor (GCGR) and glucagon-like peptide 1 receptor (GLP1R) are both peptide hormone receptors involved in energy metabolism of epithelial cells. However, their role in intestinal fibrosis and the underlying mechanisms remain largely unexplored. Herein GCGR and GLP1R were found to be reduced in the stenotic ileum of patients with Crohn's disease as well as in the fibrotic colon of mice with chronic colitis. The downregulation of GCGR and GLP1R led to the accumulation of the metabolic byproduct lactate, resulting in histone H3K9 lactylation and exacerbated intestinal fibrosis through epithelial-to-mesenchymal transition (EMT). Dual activating GCGR and GLP1R by peptide 1907B reduced the H3K9 lactylation in epithelial cells and ameliorated intestinal fibrosis in vivo. We uncovered the role of GCGR/GLP1R in regulating EMT involved in intestinal fibrosis via histone lactylation. Simultaneously activating GCGR/GLP1R with the novel dual agonist peptide 1907B holds promise as a treatment strategy for alleviating intestinal fibrosis.

Objective: Traumatic brain injury (TBI) patients often experience massive bleeding and require blood transfusion. However, the storage duration of the transfused blood may affect the prognosis of these patients. This study explored the influence of exosomes derived from fresh and aged blood on the prognosis of rats with TBI, so as to provide theoretical support for the blood transfusion management of TBI patients. Methods: Exosomes were isolated from red blood cell (RBC) suspensions stored for 1 week and 5 weeks using ultracentrifugation method. The size, morphology and surface markers of the exosomes were identified by nanoparticle flow cytometry, transmission electron microscopy and Western blotting, respectively. A rat model of TBI was constructed using a mechanical impactor for brain injury. After the successful establishment of the model, exosomes from RBC suspensions stored for 1 week and 5 weeks were injected into the extracellular space of rat brain cells using a stereotactic syringe. Cerebral edema at day 1, 3, 7 and 14 were recorded through cranial magnetic resonance imaging (MRI) scans. Magnetic tracing technology (the tracer was Gd-DTPA solution) was used to evaluate the drug metabolism level in the extracellular space of brain cells of TBI rats. The cranial magnetic resonance imaging was scanned every 15 or 30 minutes, and the recording lasted for a total of 240 minutes. The magnetic images were imported into the 3D-Slicer software in Dicom data format for analysis. Mass spectrometry technology was used to analyze the differential proteins of exosomes from RBC suspensions stored for 1 week and 5 weeks, and functional prediction was carried out to explore the possible mechanisms by which exosomes affect the prognosis of TBI. Results: After injection of exosomes into TBI rats, the areas of cerebral edema on the day 1, 3, 7, and 14 were all significantly higher in the rats treated with exosomes from 5-week-stored RBC suspensions, with peak cerebral edema occurring at day 3. The diffusion volume of the tracer was significantly higher in TBI rats than in normal rats, which implied there was a disorder in the structure of the traumatic brain tissue in TBI rats. Compared with the rats injected with exosomes from 1-week-stored RBC suspensions, those treated with exosomes from 5-week-stored RBC suspensions showed increased tracer diffusion volume within 120 minutes. Mass spectrometry analysis identified 81 differentially expressed proteins between exosomes from RBC suspensions stored for 5 weeks vs 1 week. Among them, 93.83% (76/81) proteins had increased expression levels. The neurodegeneration-related pathways were among the most enriched pathways for upregulated proteins. Conclusion: The exosomes from aged RBC suspensions can lead to exacerbated cerebral edema, disrupted extracellular space, and suppressed metabolic rate in TBI rats, suggesting that transfusion of aged RBC suspensions may have adverse effects on TBI patients.

Liposomes serve as critical carriers for drugs and vaccines,with their biological effects influenced by their size.The microfluidic method,renowned for its precise control,reproducibility,and scalability,has been widely employed for liposome preparation.Although some studies have explored factors affecting liposomal size in microfluidic processes,most focus on small-sized liposomes,predominantly through experimental data analysis.However,the production of larger liposomes,which are equally significant,remains underexplored.In this work,we thoroughly investigate multiple variables influencing liposome size during microfluidic preparation and develop a machine learning(ML)model capable of accurately predicting liposomal size.Experimental validation was conducted using a staggered herringbone micromixer(SHM)chip.Our findings reveal that most investigated variables significantly influence liposomal size,often interrelating in complex ways.We evaluated the predictive performance of several widely-used ML algorithms,including ensemble methods,through cross-validation(CV)for both lipo-some size and polydispersity index(PDI).A standalone dataset was experimentally validated to assess the accuracy of the ML predictions,with results indicating that ensemble algorithms provided the most reliable predictions.Specifically,gradient boosting was selected for size prediction,while random forest was employed for PDI prediction.We successfully produced uniform large(600 nm)and small(100 nm)liposomes using the optimised experimental conditions derived from the ML models.In conclusion,this study presents a robust methodology that enables precise control over liposome size distribution,of-fering valuable insights for medicinal research applications.

Background Per- and polyfluoroalkyl substances (PFAS) are a class of persistent organic pollutants widely used in various products, leading to population exposure and long-term accumulation. At present, there is a lack of research on the relationships between pre-pregnancy PFAS and menstrual characteristics among women undergoing assisted reproductive technology (ART) in China. Objective To explore the relationships between pre-pregnancy PFAS exposure among women undergoing ART and menstrual characteristics prior to assisted reproductive treatment. Methods This study employed a cross-sectional research design, recruiting women undergoing ART treatment at the Reproductive Clinic of the International Peace Maternity & Child Health Hospital, School of Medicine, Shanghai Jiao Tong University, from 2017 to 2020 as study participants. Ultra-high-performance liquid chromatography-tandem mass spectrometry was used to detect 42 types of PFAS in pre-pregnancy serum samples. Questionnaires were administered to collect information on demographic characteristics, lifestyle habits, and menstrual characteristics (average menstrual cycle length, average menstrual period length, menstrual irregularities, and menstrual bleeding volume) of women undergoing ART. Multiple linear regression, binary logistic regression, and multinomial logistic regression analyses were performed to investigate the relationships between individual PFAS exposure before pregnancy and menstrual characteristics among ART women. Additionally, weighted quantile sum (WQS) model was applied to analyze the association between PFAS mixtures and menstrual characteristics. Results In the pre-pregnancy serum samples of the study population, 15 PFAS were detected in more than 60% of the samples, including perfluoroheptanoic acid (PFHpA), perfluorooctanoic acid (PFOA), perfluorononanoic acid (PFNA), perfluorodecanoic acid (PFDA), perfluoroundecanoic acid (PFUnDA), perfluorododecanoic acid (PFDoDA), perfluorobutanesulfonic acid (PFBS), perfluorohexanesulfonic acid (PFHxS), perfluoroheptanesulfonic acid (PFHpS), perfluorooctanesulfonic acid (PFOS), 6:2 chlorinated polyfluorinated ether sulfonate (6:2 Cl-PFESA), 8:2 chlorinated polyfluorinated ether sulfonate (8:2 Cl-PFESA), perfluoro-2-propoxypropanoic acid (HFPO-DA), perfluoro-2-methoxyacetic acid (PFMOAA), and perfluoro-(3,5,7,9,11-pentaoxadodecanoic) acid (PFO5DoDA). Among them, PFOA had the highest median concentration of 9.160 ng·mL⁻¹. The single PFAS exposure analysis revealed a positive correlation between PFAS and irregular menstrual cycles. Specifically, for every natural-log unit (e) increase in PFOA, PFBS, or PFHxS level, the incidence of irregular menstrual cycles increased by 57%, 42%, or 39%, respectively. Most PFAS were positively correlated with the average number of menstrual cycle days, such as PFHpA (b=1.08, 95%CI: 0.11, 2.05), PFOA (b=1.69, 95%CI: 0.39, 3.00), PFBS (b=1.23, 95%CI: 0.25, 2.22), PFHxS (b=1.47, 95%CI: 0.61, 2.32), PFHpS (b=1.48, 95%CI: 0.35, 2.61), and 6:2 Cl-PFESA (b=0.90, 95%CI: 0.08, 1.72). Furthermore, levels of PFHpA (OR=1.39, 95%CI: 1.06, 1.82), PFOA (OR=1.58, 95%CI: 1.09, 2.30), PFBS (OR=1.37, 95%CI: 1.04, 1.80), PFHxS (OR=1.34, 95%CI: 1.05, 1.71), PFHpS (OR=1.53, 95%CI: 1.10, 2.14), and 6:2 Cl-PFESA (OR=1.34, 95%CI: 1.06, 1.70) were positively correlated with low menstrual blood volume, while PFOA (OR=0.40, 95%CI: 0.23, 0.71), PFHpS (OR=0.45, 95%CI: 0.29, 0.71), and HFPO-DA (OR=0.68, 95%CI: 0.48, 0.97) were negatively correlated with high menstrual blood volume. The mixed exposure model showed that PFAS mixtures were positively correlated with the average number of menstrual cycle days (b=1.60, 95%CI: 0.49, 2.71), irregular menstrual cycles (OR=1.77, 95%CI: 1.19, 2.63), and low menstrual blood volume (OR=1.59, 95%CI: 1.08, 2.35), but negatively correlated with high menstrual blood volume (OR=0.40, 95%CI: 0.22, 0.73). Conclusion Women undergoing ART in Shanghai are widely exposed to PFAS prior to conception. Exposure to PFAS before pregnancy may be related to menstrual characteristics among women seeking ART before undergoing fertility treatments, but additional data from larger populations are required to validate the findings of this study.

Liposomes serve as critical carriers for drugs and vaccines, with their biological effects influenced by their size. The microfluidic method, renowned for its precise control, reproducibility, and scalability, has been widely employed for liposome preparation. Although some studies have explored factors affecting liposomal size in microfluidic processes, most focus on small-sized liposomes, predominantly through experimental data analysis. However, the production of larger liposomes, which are equally significant, remains underexplored. In this work, we thoroughly investigate multiple variables influencing liposome size during microfluidic preparation and develop a machine learning (ML) model capable of accurately predicting liposomal size. Experimental validation was conducted using a staggered herringbone micromixer (SHM) chip. Our findings reveal that most investigated variables significantly influence liposomal size, often interrelating in complex ways. We evaluated the predictive performance of several widely-used ML algorithms, including ensemble methods, through cross-validation (CV) for both liposome size and polydispersity index (PDI). A standalone dataset was experimentally validated to assess the accuracy of the ML predictions, with results indicating that ensemble algorithms provided the most reliable predictions. Specifically, gradient boosting was selected for size prediction, while random forest was employed for PDI prediction. We successfully produced uniform large (600 nm) and small (100 nm) liposomes using the optimised experimental conditions derived from the ML models. In conclusion, this study presents a robust methodology that enables precise control over liposome size distribution, offering valuable insights for medicinal research applications.

Objective:To investigate the incidence of postoperative infection and its risk factors in patients with oral squamous cell carcinoma (OSCC), so that to provide a clinical basis for the prevention and management of postoperative infection in these patients.Methods:Ninety-seven patients pathologically diagnosed with OSCC who underwent surgical treatment in the Department of Oral and Craniomaxillofacial Oncology, Shanghai Ninth People′s Hospital, Shanghai Jiaotong University School of Medicine between December 2020 and March 2022 were included. This study was a clinical retrospective cohort study. The clinical characteristics and preoperative laboratory indicators of the included patients were collected. Based on the presence or absence of infection, the patients were divided into infection group and non-infection group. Chi-square test and independent samples t test were used for statistical methods. Binary logistic regression analysis was used to identify influencing factors for postoperative infection, and interaction terms were introduced to assess effect modification between variables. Results:Among the 97 patients, 46(47.42%) developed postoperative infections, of which 44(95.65%) were pulmonary infections. The proportion of hypertension in the infection group was 43.48%(20/46), which was higher than 23.53%(12/51) in the non-infection group, and the difference was statistically significant ( χ2=4.35, P=0.037). The preoperative glycosylated hemoglobin level in the infection group was 6.26%±0.85%, which was higher than that in the non-infection group (5.77%±0.57%), and the difference was statistically significant ( t=-2.81, P=0.007). Binary logistic regression analysis showed that male (odds ratio ( OR)=0.598, 95% confidence interval ( CI) 0.519 to 0.689, P<0.001), absence of diabetes ( OR=0.416, 95% CI 0.340 to 0.509, P<0.001), and absence of hypertension ( OR=0.647, 95% CI 0.569 to 0.735, P<0.001) were protective factors against postoperative infection. Age>60 years ( OR=1.159, 95% CI 1.031 to 1.304, P=0.014) and alcohol consumption ( OR=1.262, 95% CI 1.024 to 1.555, P=0.029) were risk factors for postoperative infection. Effect modification analysis found that males without diabetes ( OR=0.027, 95% CI 0.001 to 0.687, P=0.029) and the absence of both diabetes and hypertension ( OR=0.378, 95% CI 0.163 to 0.880, P=0.024) were also protective factors against postoperative infection. Conclusions:Risk factors for postoperative infection in OSCC include elder age, alcohol consumption, hypertension, and poor preoperative glycemic control. Therefore, clinical practice should enhance preoperative assessment, promote lifestyle modifications, optimize perioperative blood pressure management, implement glycemic control, and provide perioperative alcohol cessation interventions to reduce the risk of postoperative infection.

Objective To evaluate the sensitivity of swept-source optical coherence tomography(SS-OCT)in detecting early deminer-alization at the resin-enamel bonding interface,and the differences in enamel demineralization around restorations among different resins(Filtek Z350 XT,Filtek Bulk Fill,TetricN-Ceram Bulk Fill).Methods Twenty-seven extracted third molars were selected and prepared into 5-mm-thick specimens,and Class Ⅰ cavities measuring 3 mm × 3 mm × 4 mm were created on the occlusal surfaces.The specimens were randomly divided into three groups,with nine teeth in each group,and were respectively filled with Filtek Z350 XT(layered filling of 4 mm),Filtek Bulk Fill(bulk filling of 4 mm in one step),and Tetric N-Ceram Bulk Fill(bulk filling of 4 mm in one step).After applying acid-resistant nail varnish to non-experimental areas,the specimens were placed in a demineralizing solution for 4 weeks.SS-OCT and Micro-CT scans of the resin-enamel bonding interface were performed before demineralization and weekly thereafter to monitor the progression of demineralization and changes in demineralization depth were quantitatively analyzed.Results Both SS-OCT and Micro-CT were capable of non-destructive dynamic monitoring of demineralization at the resin-enamel bonding inter-face.After demineralization,four types of patterns were observed at the resin-enamel bonding interface.At different stages of demineral-ization,no significant differences in demineralization depth were detected among the three resins using either SS-OCT or Micro-CT.There was a high level of agreement between the demineralization depth measurements obtained from SS-OCT and Micro-CT at each demineralization stage(ICC:0.760-0.897).Conclusion The early demineralization of resin-enamelbonding interface can be noninva-sively detected by SS-OCT,and there was no significant differenceamong three resins in their ability to resist enamel demineralization around the restoration.

Objective To evaluate the sensitivity of swept-source optical coherence tomography(SS-OCT)in detecting early deminer-alization at the resin-enamel bonding interface,and the differences in enamel demineralization around restorations among different resins(Filtek Z350 XT,Filtek Bulk Fill,TetricN-Ceram Bulk Fill).Methods Twenty-seven extracted third molars were selected and prepared into 5-mm-thick specimens,and Class Ⅰ cavities measuring 3 mm × 3 mm × 4 mm were created on the occlusal surfaces.The specimens were randomly divided into three groups,with nine teeth in each group,and were respectively filled with Filtek Z350 XT(layered filling of 4 mm),Filtek Bulk Fill(bulk filling of 4 mm in one step),and Tetric N-Ceram Bulk Fill(bulk filling of 4 mm in one step).After applying acid-resistant nail varnish to non-experimental areas,the specimens were placed in a demineralizing solution for 4 weeks.SS-OCT and Micro-CT scans of the resin-enamel bonding interface were performed before demineralization and weekly thereafter to monitor the progression of demineralization and changes in demineralization depth were quantitatively analyzed.Results Both SS-OCT and Micro-CT were capable of non-destructive dynamic monitoring of demineralization at the resin-enamel bonding inter-face.After demineralization,four types of patterns were observed at the resin-enamel bonding interface.At different stages of demineral-ization,no significant differences in demineralization depth were detected among the three resins using either SS-OCT or Micro-CT.There was a high level of agreement between the demineralization depth measurements obtained from SS-OCT and Micro-CT at each demineralization stage(ICC:0.760-0.897).Conclusion The early demineralization of resin-enamelbonding interface can be noninva-sively detected by SS-OCT,and there was no significant differenceamong three resins in their ability to resist enamel demineralization around the restoration.

Objective:To investigate the incidence of postoperative infection and its risk factors in patients with oral squamous cell carcinoma (OSCC), so that to provide a clinical basis for the prevention and management of postoperative infection in these patients.Methods:Ninety-seven patients pathologically diagnosed with OSCC who underwent surgical treatment in the Department of Oral and Craniomaxillofacial Oncology, Shanghai Ninth People′s Hospital, Shanghai Jiaotong University School of Medicine between December 2020 and March 2022 were included. This study was a clinical retrospective cohort study. The clinical characteristics and preoperative laboratory indicators of the included patients were collected. Based on the presence or absence of infection, the patients were divided into infection group and non-infection group. Chi-square test and independent samples t test were used for statistical methods. Binary logistic regression analysis was used to identify influencing factors for postoperative infection, and interaction terms were introduced to assess effect modification between variables. Results:Among the 97 patients, 46(47.42%) developed postoperative infections, of which 44(95.65%) were pulmonary infections. The proportion of hypertension in the infection group was 43.48%(20/46), which was higher than 23.53%(12/51) in the non-infection group, and the difference was statistically significant ( χ2=4.35, P=0.037). The preoperative glycosylated hemoglobin level in the infection group was 6.26%±0.85%, which was higher than that in the non-infection group (5.77%±0.57%), and the difference was statistically significant ( t=-2.81, P=0.007). Binary logistic regression analysis showed that male (odds ratio ( OR)=0.598, 95% confidence interval ( CI) 0.519 to 0.689, P<0.001), absence of diabetes ( OR=0.416, 95% CI 0.340 to 0.509, P<0.001), and absence of hypertension ( OR=0.647, 95% CI 0.569 to 0.735, P<0.001) were protective factors against postoperative infection. Age>60 years ( OR=1.159, 95% CI 1.031 to 1.304, P=0.014) and alcohol consumption ( OR=1.262, 95% CI 1.024 to 1.555, P=0.029) were risk factors for postoperative infection. Effect modification analysis found that males without diabetes ( OR=0.027, 95% CI 0.001 to 0.687, P=0.029) and the absence of both diabetes and hypertension ( OR=0.378, 95% CI 0.163 to 0.880, P=0.024) were also protective factors against postoperative infection. Conclusions:Risk factors for postoperative infection in OSCC include elder age, alcohol consumption, hypertension, and poor preoperative glycemic control. Therefore, clinical practice should enhance preoperative assessment, promote lifestyle modifications, optimize perioperative blood pressure management, implement glycemic control, and provide perioperative alcohol cessation interventions to reduce the risk of postoperative infection.