Objective:To investigate the serum metabonomics of pancreatic cancer and chronic pancreatitis patients and screen the differential metabolites for differentiating pancreatic cancer from chronic pancreatis.Methods:From June 2021 to June 2022, the clinical data of 54 patients diagnosed with pancreatic ductal adenocarcinoma in the Department of Hepatobiliary, Pancreatic and Splenic Surgery of the First Affiliated Hospital of Naval Medical University were collected. A total of 54 patients with chronic pancreatitis who were admitted at the same time were selected as the control group. UHPLC/Q-TOF MS-based metabonomics techniques were applied to analyze the difference in serum metabolites in the two groups with multivariate and univariate statistical method, and the different metabolites were screened and identified in accordance with the molecular weight, metabolites databases and mass spectrometry (MS)/MS information. Two-thirds of the cases were randomly selected from patients with pancreatic cancer and chronic pancreatitis as the modeling population, and the remaining population was used as the validation population. In the modeled population, the receiver operating characteristic curve (ROC) of the screened differential metabolites was plotted and the area under the curve (AUC) was calculated. Differential metabolite variables with AUC ≥75%, a VIP value ≥1.5 were selected into the logistic multivariate regression analysis model, and the regression equation and the regression coefficients of each selected independent variable were obtained by stepwise regression by backward method. The final selected differential metabolites were evaluated by the formula P=1/{1+Exp[-(β0+β1X1+β1X1+…+βiXi)]} to establish a diagnostic model and predict the clinical application value of the model by evaluating it compared to the CA19-9 ROC curve. At the same time, the non-parametric Bootstrap method was used to verify the diagnostic performance of the model in the validation population. Results:There were 18 kinds of different serum metabolits in the final screening and identification in the two groups. The level of hypoxanthine, L-carnitine, acetylcarnitine, C16 sphinganine, linoleic acid, palmitoylcarnitine, linoleyl carnitine, uracil deoxynucleotide, glycocholic chenodeoxycholic acid in serum of pancreatic cancer patients were higher than that in the chronic pancreatitis patients; Uric acid, tryptophan, indoxylsulfuric acid, 1-palmitoyl lysophosphatidic acid, LPA(18∶2/0∶0), LysoPE (18∶1/0∶0), LysoPC (14∶0), LysoPC(15∶0), LysoPC(16∶1) in the serum were lower in patients with pancreatic cancer compared with that in chronic pancreatitis patients, and all the differences were statistically significant (all P value <0.05). In the modeled population, the ROC curve was established according to the peak intensity of 18 differential metabolites, and the metabolic differentiators with AUC of ≥75% and VIP value of ≥1.5 were selected for logistic multivariate analysis, and finally linoleoleic carnitine and LPA (18∶2/0∶0) were included in the logistic regression model. The prediction model of pancreatic cancer with two serum metabolites linoleyl carnitine and LPA (18∶2/0∶0) was established. The AUC value (95% CI) of the prediction model was 0.91 (0.85-0.97), which was higher than that of CA19-9 (0.85, 0.76-0.94), the sensitivity and specificity were 86.4% and 80.6%, respectively, and the sensitivity was higher than that of CA19-9 (77.3%), but the specificity was lower than that of CA19-9 (91.7%). Internal validation showed than the AUC value (95% CI) of the prediction model was 0.91 (0.79-0.94), which was higher than that of CA19-9 ( P<0.05). Conclusions:The serum metabolites linolein carnitine and LPA(18∶2/0∶0) may be potential diagnostic markers to distinguish pancreatic cancer from patients with chronic pancreatitis.

ObjectiveTo investigate the potential mechanism of Liangxue Tuizi Formula （凉血退紫方， LXTZF） in treating Henoch-Schönlein Purpura （HSP） by examining its regulatory effect on neutrophil extracellular trap （NETs） dysregulation via the rapidly accelerated fibrosarcoma kinase （RAF）/mitogen-activated protein kinase （MEK）/extracellular signal-regulated kinase （ERK） signaling pathway. MethodsSeventy Wistar rats were randomly allocated into a blank control group （n=14） and a modeling group （n=56）. Rats in the modelling group underwent an eight-week modelling period to establish HSP rat models with blood-heat syndrome via modified ovalbumin （OVA） induction method combined with oral administration of heat-property Chinese herbal medicine. Fifty successfully modeled rats were subsequently randomly divided into five groups （n=10 per group）， model group， compound glycyrrhizin group， LXTZF group， RAF inhibitor group， and LXTZF + RAF agonist group. Additionally， 10 rats were selected from the original blank control group for the final experiment. From the 11th week of modelling， rats in the blank control group and the model group received 1 ml/（100 g·d） ultrapure water via oral administration， in addition to 0.5 ml/（kg·d） 0.9% sodium chloride solution via intraperitoneal injection. The LXTZF group and the compound glycyrrhizin group received 7.5 g/（kg·d） LXTZF granule suspension via gavage， 13.5 mg/（kg·d） compound glycyrrhizin suspension via gavage， respectively. The RAF inhibitor group received 1 mg/（kg·d） GW5074 suspension via intraperitoneal injection and ultrapure water via oral administration； the LXTZF + RAF agonist group received 7.5 g/（kg·d） LXTZF granule suspension via gavage and 1 mg/（kg·d） paclitaxel suspension via intraperitoneal injection. All administrations were performed once daily for 4 weeks. After intervention， skin tissue histopathology was examined by hematoxylin and eosin （H&E） staining， immunoglobulin A （IgA） deposition was assessed via immunofluorescence， serum levels of neutrophil elastase （NE）， tumor necrosis factor-α （TNF-α）， and vascular cell adhesion molecule-1 （VCAM-1） were measured using enzyme-linked immunosorbent assay （ELISA）， serum myeloperoxidase （MPO） level was determined by a colorimetric assay； the mRNA expression levels of RAF， MEK， and ERK in skin tissue were detected by real-time quantitative polymerase chain reaction （RT-qPCR）； and the protein expression of RAF， MEK， ERK， as well as phosphorylated MEK （p-MEK） and phosphorylated ERK （p-ERK）， were analyzed by Western Blot. ResultsSkin tissue in the blank control group rats remained normal， whereas the model group exhibited neutrophil infiltration and haemorrhage with red blood cell rupture. In all drug intervention groups， neutrophil infiltration and haemorrhagic exudation reduced markedly， with LXTZF group demonstrating the most pronounced improvement. Compared with the blank control group， rats in the model group exhibited enhanced IgA fluorescence intensity in skin tissue， elevated serum levels of NE， MPO， TNF-α and VCAM-1， increased mRNA expression of RAF， MEK， ERK1 and ERK2， as well as heightened RAF protein levels and p-MEK/MEK and p-ERK/ERK ratios （P＜0.05）. Compared with the model group， the drug intervention groups exhibited reduced IgA fluorescence intensity in skin tissue， along with decreased serum levels of NE， MPO， TNF-α， and VCAM-1 （P＜0.05）. In LXTZF group and RAF inhibition groups， reduced mRNA expression of RAF， MEK， ERK1， and ERK2 was observed in rat skin tissue， alongside decreased RAF protein levels and reduced p-MEK/MEK and p-ERK/ERK ratios （P＜0.05）. Compared with LXTZF + RAF agonist group， the compound glycyrrhizin group， LXTZF group， and RAF inhibitior group exhibited reduced IgA fluorescence intensity in skin tissue， decreased serum NE， MPO， TNF-α， and VCAM-1 levels， and decreased MEK mRNA expression and p-MEK/MEK ratio （P＜0.05）. ConclusionThe potential mechanism by which LXTZF treats Henoch-Schönlein purpura with blood heat syndrome may involve blocking the RAF/MEK/ERK signaling pathway in skin tissue， and suppressing excessive formation of NETs， thereby reducing IgA deposition in dermal microvessels and attenuating systemic inflammatory responses.

Objective:To investigate the serum metabonomics of pancreatic cancer and chronic pancreatitis patients and screen the differential metabolites for differentiating pancreatic cancer from chronic pancreatis.Methods:From June 2021 to June 2022, the clinical data of 54 patients diagnosed with pancreatic ductal adenocarcinoma in the Department of Hepatobiliary, Pancreatic and Splenic Surgery of the First Affiliated Hospital of Naval Medical University were collected. A total of 54 patients with chronic pancreatitis who were admitted at the same time were selected as the control group. UHPLC/Q-TOF MS-based metabonomics techniques were applied to analyze the difference in serum metabolites in the two groups with multivariate and univariate statistical method, and the different metabolites were screened and identified in accordance with the molecular weight, metabolites databases and mass spectrometry (MS)/MS information. Two-thirds of the cases were randomly selected from patients with pancreatic cancer and chronic pancreatitis as the modeling population, and the remaining population was used as the validation population. In the modeled population, the receiver operating characteristic curve (ROC) of the screened differential metabolites was plotted and the area under the curve (AUC) was calculated. Differential metabolite variables with AUC ≥75%, a VIP value ≥1.5 were selected into the logistic multivariate regression analysis model, and the regression equation and the regression coefficients of each selected independent variable were obtained by stepwise regression by backward method. The final selected differential metabolites were evaluated by the formula P=1/{1+Exp[-(β0+β1X1+β1X1+…+βiXi)]} to establish a diagnostic model and predict the clinical application value of the model by evaluating it compared to the CA19-9 ROC curve. At the same time, the non-parametric Bootstrap method was used to verify the diagnostic performance of the model in the validation population. Results:There were 18 kinds of different serum metabolits in the final screening and identification in the two groups. The level of hypoxanthine, L-carnitine, acetylcarnitine, C16 sphinganine, linoleic acid, palmitoylcarnitine, linoleyl carnitine, uracil deoxynucleotide, glycocholic chenodeoxycholic acid in serum of pancreatic cancer patients were higher than that in the chronic pancreatitis patients; Uric acid, tryptophan, indoxylsulfuric acid, 1-palmitoyl lysophosphatidic acid, LPA(18∶2/0∶0), LysoPE (18∶1/0∶0), LysoPC (14∶0), LysoPC(15∶0), LysoPC(16∶1) in the serum were lower in patients with pancreatic cancer compared with that in chronic pancreatitis patients, and all the differences were statistically significant (all P value <0.05). In the modeled population, the ROC curve was established according to the peak intensity of 18 differential metabolites, and the metabolic differentiators with AUC of ≥75% and VIP value of ≥1.5 were selected for logistic multivariate analysis, and finally linoleoleic carnitine and LPA (18∶2/0∶0) were included in the logistic regression model. The prediction model of pancreatic cancer with two serum metabolites linoleyl carnitine and LPA (18∶2/0∶0) was established. The AUC value (95% CI) of the prediction model was 0.91 (0.85-0.97), which was higher than that of CA19-9 (0.85, 0.76-0.94), the sensitivity and specificity were 86.4% and 80.6%, respectively, and the sensitivity was higher than that of CA19-9 (77.3%), but the specificity was lower than that of CA19-9 (91.7%). Internal validation showed than the AUC value (95% CI) of the prediction model was 0.91 (0.79-0.94), which was higher than that of CA19-9 ( P<0.05). Conclusions:The serum metabolites linolein carnitine and LPA(18∶2/0∶0) may be potential diagnostic markers to distinguish pancreatic cancer from patients with chronic pancreatitis.

Objective To analyze three-dimensional(3D)radiographic characterizations of bone island(BI)in jaw using cone-beam computed tomography(CBCT).Methods CBCT data from four thousand patients were selected,reconstructed and analyzed using NNT 10.0 software.The sagittal,coronal and axial planes were used to analyze the 3D radiographic characteristics of BIs,including the localization,shape,density,boundary,the relationship between BIs and tooth and bone cortex,diameter and anatomical structures and complications involved.Their relationship with gender were analyzed.Results A total of 803 people had BIs,with the prevalence rate of 20.08%,including 338 males with 389 BIs and 465 females with 526 BIs.Both males and females had a dominant BI,and the ratio between male and female was 1∶1.38,but the difference was not statistically significant(P＞0.05).The BIs of both male and female mostly occurred in the mandibular premolars and molars area,and appeared irregular in shape,dense and contact with lingual bone cortex.Mostly BIs were apical type and with unclear boundary.The mean maximum diameter of mesial/distal direction was greater than buccal/lingual direction(P＜0.05).The most commonly involved anatomy structure was the inferior alveolar neural canal,cortical infil-tration and mental foramen.Conclusion There are no significant differences between males and females in the three-dimensional image characteristics of BIs in Chinese populations.CBCT can accurately and comprehensively analyze the 3D radiographic characteris-tics of BI and its relationship with the surrounding teeth and bone.

Objective:To research the mitochondrial cytochrome c oxidase subunit I (MT-COI) gene methylation levels in patients with occupational chronic benzene poisoning, and to explore effective molec μlar biomarkers in patients with occupational chronic benzene poisoning.Methods:38 confirmed cases of occupational chronic benzene poisoning were selected in the case group. 46 healthy people who underwent physical in our hospital were selected in the control group. Pyrosequencing was used to detect the methylation sites of methylation sites, flow cytometry was used to detect peripheral blood cell count levels, and non-parametric statistical methods were used to analyze the differences in detection results between the two groups.Results:The methylation level of mitochondrial MT-COI site 1 (2.21±0.81) % in the case group was less than that in the control group, and the difference was statistically significant ( P<0.05) . The methylation level of mitochondrial MT-COI site 2 (2.31±0.96%) in the case group was less than that in the control group, and the difference was statistically significant ( P<0.05) . The methylation average level of mitochondrial MT-COI (2.26±0.75) % in the case group was less than that in the control group, and the difference was statistically significant ( P<0.05) . Analysis of the average level of methylation found that the methylation level of mitochondrial MT-COI was correlated with WBC ( P<0.05) . Analysis of the average level of methylation found that the methylation level of mitochondrial MT-COI was correlated with platelets ( r=0.254、0.280, P<0.05) . Conclusion:The level of mitochondrial MT-COI gene methylation in patients with occupational chronic benzene poisoning may be related to the sensitivity to benzene exposure. Mitochondrial MT-COI gene methylation may serve as a potential predictive biomarker for benzene poisoning.

Objective:To research the mitochondrial cytochrome c oxidase subunit I (MT-COI) gene methylation levels in patients with occupational chronic benzene poisoning, and to explore effective molec μlar biomarkers in patients with occupational chronic benzene poisoning.Methods:38 confirmed cases of occupational chronic benzene poisoning were selected in the case group. 46 healthy people who underwent physical in our hospital were selected in the control group. Pyrosequencing was used to detect the methylation sites of methylation sites, flow cytometry was used to detect peripheral blood cell count levels, and non-parametric statistical methods were used to analyze the differences in detection results between the two groups.Results:The methylation level of mitochondrial MT-COI site 1 (2.21±0.81) % in the case group was less than that in the control group, and the difference was statistically significant ( P<0.05) . The methylation level of mitochondrial MT-COI site 2 (2.31±0.96%) in the case group was less than that in the control group, and the difference was statistically significant ( P<0.05) . The methylation average level of mitochondrial MT-COI (2.26±0.75) % in the case group was less than that in the control group, and the difference was statistically significant ( P<0.05) . Analysis of the average level of methylation found that the methylation level of mitochondrial MT-COI was correlated with WBC ( P<0.05) . Analysis of the average level of methylation found that the methylation level of mitochondrial MT-COI was correlated with platelets ( r=0.254、0.280, P<0.05) . Conclusion:The level of mitochondrial MT-COI gene methylation in patients with occupational chronic benzene poisoning may be related to the sensitivity to benzene exposure. Mitochondrial MT-COI gene methylation may serve as a potential predictive biomarker for benzene poisoning.

Objective:To analyze the value and difference of the optic nerve sheath pulse dynamic deformation index (DI) in normal-tension glaucoma (NTG) and high-pressure primary open angle glaucoma (POAG).Methods:A cross-sectional study was conducted to collect clinical data at the Eye Center of Beijing Tongren Hospital from June 2016 to March 2017, 32 patients with NTG and 35 patients with high-pressure POAG were sampled.For all subjects, their basic information, body mass index (BMI), mean arterial blood pressure (MAP), 24 hours intraocular pressure, and ophthalmologic examinations required for diagnosis were recorded.All subjects underwent transorbital ultrasonography and for each 15 seconds of consecutive ultrasound images were taken.The dynamic post-processing technique was used to calculate the DI.The difference in DI between the two groups and the correlation of DI with other variables were analyzed.The study protocol was approved by the Ethics Committee of Beijing Tongren Hospital.Written informed consent was obtained from all subjects prior to their entering the study cohort and receiving the transorbital ultrasound examination.Results:The median level of DI in the NTG group was 0.51 (0.48, 0.54), which was higher than that in the high-pressure POAG group (0.23[0.20, 0.25]), exhibiting a significant difference ( Z=-7.01, P<0.01). The mean BMI in the NTG group was lower than that in the high-pressure POAG group([21.29±4.64]kg/m 2vs. [23.53±3.40]kg/m 2), the mean MAP in the NTG group was lower than that in the high-pressure POAG group([91.44±14.30]mmHg vs. [104.05±13.96] mmHg), the differences between the two groups were statistically significant ( t=-2.30, P<0.05; t=-3.65, P<0.01). There was no statistical association between the two groups of DI and age, MAP, BMI, mean intraocular pressure and maximum intraocular pressure (all at P>0.05). Conclusions:The DI of the NTG patient is higher than that of the POAG patient, which indicates that the optic nerve sheath subarachnoid pressure and optic nerve sheath stiffness in NTG patients are lower than those in POAG patients.Therefore, the DI is a potential indicator of non-invasive intracranial pressure and translaminar cribrosa pressure difference detection in ophthalmology.