Temporomandibular joint (TMJ) diseases are common clinical conditions. The number of patients with TMJ diseases is large, and the etiology, epidemiology, disease spectrum, and treatment of the disease remain controversial and unknown. To understand and master the current situation of the occurrence, development and prevention of TMJ diseases, as well as to identify the patterns in etiology, incidence, drug sensitivity, and prognosis is crucial for alleviating patients′suffering.This will facilitate in-depth medical research, effective disease prevention measures, and the formulation of corresponding health policies. Cohort construction and research has an irreplaceable role in precise disease prevention and significant improvement in diagnosis and treatment levels. Large-scale cohort studies are needed to explore the relationship between potential risk factors and outcomes of TMJ diseases, and to observe disease prognoses through long-term follw-ups. The consensus aims to establish a standard conceptual frame work for a cohort study on patients with TMJ disease while providing ideas for cohort data standards to this condition. TMJ disease cohort data consists of both common data standards applicable to all specific disease cohorts as well as disease-specific data standards. Common data were available for each specific disease cohort. By integrating different cohort research resources, standard problems or study variables can be unified. Long-term follow-up can be performed using consistent definitions and criteria across different projects for better core data collection. It is hoped that this consensus will be facilitate the development cohort studies of TMJ diseases.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Objective To observe the effects of melatonin on autophagy in cortical neurons of neonatal rats with hypoxic-ischemic brain damage(HIBD)and to explore its mechanisms via the PI3K/AKT signaling pathway,aiming to provide a basis for the clinical application of melatonin.Methods Seven-day-old Sprague-Dawley neonatal rats were randomly divided into a sham operation group,an HIBD group,and a melatonin group(n=9 each).The neonatal rat HIBD model was established using the classic Rice-Vannucci method.Neuronal morphology in the neonatal rat cerebral cortex was observed with hematoxylin-eosin staining and Nissl staining.Autophagy-related protein levels of microtubule-associated protein 1 light chain 3(LC3)and Beclin-1 were detected by immunofluorescence staining and Western blot analysis.Phosphorylated phosphoinositide 3-kinase(p-PI3K)and phosphorylated protein kinase B(p-AKT)protein expression levels were measured by immunohistochemistry and Western blot.The correlation between autophagy and the PI3K pathway in the melatonin group and the HIBD group was analyzed using Pearson correlation analysis.Results Twenty-four hours post-modeling,neurons in the sham operation group displayed normal size and orderly arrangement.In contrast,neurons in the HIBD group showed swelling and disorderly arrangement,while those in the melatonin group had relatively normal morphology and more orderly arrangement.Nissl bodies were normal in the sham operation group but distorted in the HIBD group;however,they remained relatively intact in the melatonin group.The average fluorescence intensity of LC3 and Beclin-1 was higher in the HIBD group compared to the sham operation group,but was reduced in the melatonin group compared to the HIBD group(P<0.05).The number of p-PI3K+and p-AKT+cells decreased in the HIBD group compared to the sham operation group but increased in the melatonin group compared to the HIBD group(P<0.05).LC3 and Beclin-1 protein expression levels were higher,and p-PI3K and p-AKT levels were lower in the HIBD group compared to the sham operation group(P<0.05);however,in the melatonin group,LC3 and Beclin-1 levels decreased,and p-PI3K and p-AKT increased compared to the HIBD group(P<0.05).The correlation analysis results showed that the difference of the mean fluorescence intensity of LC3 and Beclin-1 protein in the injured cerebral cortex between the melatonin and HIBD groups was negatively correlated with the difference of the number of p-PI3K+and p-AKT+cells between the two groups(P<0.05).Conclusions Melatonin can inhibit excessive autophagy in cortical neurons of neonatal rats with HIBD,thereby alleviating HIBD.This mechanism is associated with the PI3K/AKT pathway.

Objective To propose an evaluation and screening indicator for the reliability of emergency ventilators.Methods Firstly,a regression model was used to clean the data and remove noise to ensure the accuracy of regression analysis.Then,four groups of highly correlated data combinations,including inspiratory tidal volume-minute expiratory volume,peak airway pressure-minute expiratory volume,peak airway pressure-inspiratory tidal volume and positive end-expiratory pressure(PEEP)-mean airway pressure,were determined with the methods of curve fitting and transfer function,and the difference between the theoretical output and the actual output of the data combinations was regarded as an indicator to judge whether the ventilator functioned well or not;finally,the indicator proposed was applied to single and multiple ventilators,and the feasibility of the indicator was determined by the proportion of the ventilators functioning well.Results The evaluation results with a single ventilator showed the four groups of data combinations had the actual output fitted well with the theoretical output,and all the differences between the theoretical output and the actual output were lower than the threshold;the results with multiple ventilators indicated there were 71.49％ventilators functioning well,which was very close to the actual result that 72％ventilators behaved well.Conclusion The evaluation and screening indicator for emergency ventilators has high feasibility,and theoretical support is provided for reliability assessment and selection of series of emergency treatment equipment.[Chinese Medical Equipment Journal,2024,45(7):8-16]

Aim To investigate whether resveratrol (Resveratrol, Res) induces cardiomyocyte protection by increasing intracellular zinc ion and its possible signal mechanism. Methods H9c2 cells were routinely cultured and 2-deoxyglucose (2-DG) was used to establish an endoplasmic reticulum stress (ERS) model. The experiment was randomly divided into control group, 2-DG group, Res +2-DG group, TPEN + Res + 2-DG group and 3-MA + Res +2-DG group. Cell viability was detected by MTT and CCK-8; the expression levels of ERS molecular chaperone proteins glucose-regulated protein 78 (GRP78), glucose-regulated protein 94 (GRP94) and autophagy proteins LC3 II / I, p62 and p-AMPK were detected by Western blot; the expression of LC3 protein was measured by cellular immunofluorescence; the mitochondrial membrane potential (Aijjm) and the intracellular zinc ion level were measured by laser scanning confocal microscope. Results Compared with the control group, 2-DG reduced cell activity and resveratrol inhibited the changes caused by 2-DG, which was reversed by zinc chelator TPEN. 2-DG increased GRP78 and GRP94 expression and resveratrol inhibited the protein changes caused by 2-DG, which was reversed by TPEN. 2-DG increased the expression of LC3 II / I, p-AMPK and decreased the expression of p62, and resveratrol promoted the effect of 2-DG. 2-DG increased the fluorescence intensity of LC3, and resveratrol enhanced the effect of 2-DG, which was reversed by TPEN and 3-MA. 2-DG reduced the red fluorescence intensity of mitochondrial TMRE and green fluorescence intensity of intracellular zinc ions, and resveratrol inhibited these changes caused by 2-DG, which was also reversed by TPEN and 3-MA. The above differences were all statistically significant (P < 0. 05). Conclusion Resveratrol increases intracellular zinc to promote ERS-induced autophagy and prevent the mPTP opening in H9c2 cardiac cells.

Objective To investigate the release of enterogenic and hepatogenic high mobility group protein B1(HMGB1)through exosomes and its regulatory pathway.Methods We used wild-type(WT)and ASC-/-mice for this study.We randomly selected five mice per group from each strain and fed them either a normal diet(ND)or a high-fat diet(HFD)for eight weeks.The control group consisted of WT mice fed with the normal diet;the HFD group were WT mice with the HFD;the microflora disturbance(MD)group were ASC-/-mice fed with the normal diet;the high-lipid microflora disturbance(HLMD)group were ASC-/-mice with HFD.We used confocal microscopy to detect the co-localization of liver and intestinal exosome markers with HMGB1.We then measured the expression level of HMGB1 content in exosomes by Western blotting and PCR.The AML12 cells were treated with palmitic acid(PA)and lipopolysaccharide(LPS)for 24 h to build an in vitro model.We also detected HMGB1/CD63 levels using Western blotting.To understand the regulatory mechanism of exosome release,we employed siRNA intervention.Results The secretion of exosomes increased significantly in HFD group compared with control group[(3.5±0.2)ng/ml vs.(1.1±0.3)ng/ml,P<0.05],HLMD group compared with those in MD group[(3.2±0.2)ng/ml vs.(1.9±0.4)ng/ml,P<0.05].Using immunofluorescence detection,we observed increased co-localization of exosome markers(ALP or VPS16)with HMGB1 in HFD group compared with control group.We also observed this in AML12 cells treated with PA and LPS compared with blank control.The PCR data showed that HMGB1 in hepatocyte exosomes was higher in HFD group compared with control group(41.5±10.2 vs.1.3±0.3,P<0.05),HLMD group was significantly higher than that in MD group(48.6±7.2 vs.1.5±0.5,P<0.05).TLR4 expression was higher in HFD group compared with control group(13.8±6.2 vs.2.8±0.9,P<0.05),HLMD group compared with MD group(22.6±4.1 vs.2.5±1.5,P<0.05).In intestinal mucosal cells,the co-location of HMGB1 and exosome marker CD63 was significantly higher in HFD group compared with control group(0.6±0.2 vs.0.4±0.1,P<0.05),and HLMD group compared with MD group(0.9±0.2 vs.0.5±0.1,P<0.05).In vitro,the HMGB1 of exosomes was increased in endotoxin group(5.1±0.8)and high lipid endotoxin group(5.5±0.7)compared with control group(3.8±0.6,P<0.05).On the other hand,the HMGB1 of exosomes in the cell siRNA intervention group was not increased compared with control group(3.7±0.6 vs.3.8±0.6,P>0.05).Conclusion HMGB1 is released by exosomes in hepatocytes and intestinal cells,and regulated by Toll-like receptor 4(TLR4)under a high-fat diet and intestinal flora disorder,which may be one of the contributing factors in promoting the development of steatohepatitis.

Objective: Compare and analyze the results of the domestic Lanyi AH600 glycated hemoglobin analyzer and other different detection systems to understand the comparability of the detection results of different detectors, and establish the best cut point of Lanyi AH600 determination of haemoglobin A1c (HbA1c) in the diagnosis of diabetes. Methods: Multi center cohort study was adopted. The clinical laboratory departments of 18 medical institutions independently collected test samples from their respective hospitals from March to April 2022, and independently completed comparative analysis of the evaluated instrument (Lanyi AH600) and the reference instrument HbA1c. The reference instruments include four different brands of glycosylated hemoglobin meters, including Arkray, Bio-Rad, DOSOH, and Huizhong. Scatter plot was used to calculate the correlation between the results of different detection systems, and the regression equation was calculated. The consistency analysis between the results of different detection systems was evaluated by Bland Altman method. Consistency judgment principles: (1) When the 95% limits of agreement (95% LoA) of the measurement difference was within 0.4% HbA1c and the measurement score was≥80 points, the comparison consistency was good; (2) When the measurement difference of 95% LoA exceeded 0.4% HbA1c, and the measurement score was≥80 points, the comparison consistency was relatively good; (3) The measurement score was less than 80 points, the comparison consistency was poor. The difference between the results of different detection systems was tested by paired sample T test or Wilcoxon paired sign rank sum test; The best cut-off point of diabetes was analyzed by receiver operating characteristic curve (ROC). Results: The correlation coefficient R² of results between Lanyi AH600 and the reference instrument in 16 hospitals is≥0.99; The Bland Altman consistency analysis showed that the difference of 95% LoA in Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180) was -0.486%-0.325%, and the measurement score was 94.6 points (473/500); The difference of 95% LoA in the Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant II) was -0.727%-0.612%, and the measurement score was 89.8 points; The difference of 95% LoA in the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT) was -0.231%-0.461%, and the measurement score was 96.6 points; The difference of 95% LoA in the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT) was -0.469%-0.479%, and the measurement score was 91.9 points. The other 14 hospitals, Lanyi AH600, were compared with 4 reference instrument brands, the difference of 95% LoA was less than 0.4% HbA1c, and the scores were all greater than 95 points. The results of paired sample T test or Wilcoxon paired sign rank sum test showed that there was no statistically significant difference between Lanyi AH600 and the reference instrument Arkray HA8180 (Z=1.665,P=0.096), with no statistical difference. The mean difference between the measured values of the two instruments was 0.004%. The comparison data of Lanyi AH600 and the reference instrument of all other institutions had significant differences (all P<0.001), however, it was necessary to consider whether it was within the clinical acceptable range in combination with the results of the Bland-Altman consistency analysis. The ROC curve of HbA1c detected by Lanyi AH600 in 985 patients with diabetes and 3 423 patients with non-diabetes was analyzed, the area under curve (AUC) was 0.877, the standard error was 0.007, and the 95% confidence interval 95%CI was (0.864, 0.891), which was statistically significant (P<0.001). The maximum value of Youden index was 0.634, and the corresponding HbA1c cut point was 6.235%. The sensitivity and specificity of diabetes diagnosis were 76.2% and 87.2%, respectively. Conclusion: Among the hospitals and instruments currently included in this study, among these four hospitals included Nanjing Maternity and Child Health Care Hospital in Jiangsu Province (reference instrument: Arkray HA8180), Tibetan Traditional Medical Hospital of TAR (reference instrument: Bio-Rad Variant Ⅱ), the People's Hospital of Chongqing Liang Jiang New Area (reference instrument: Huizhong MQ-2000PT), and the Taihe Hospital of traditional Chinese Medicine in Anhui Province (reference instrument: Huizhong MQ-2000PT), the comparison between Lanyi AH600 and the reference instruments showed relatively good consistency, while the other 14 hospitals involved four different brands of reference instruments: Arkray, Bio-Rad, DOSOH, and Huizhong, Lanyi AH600 had good consistency with its comparison. The best cut point of the domestic Lanyi AH600 for detecting HbA1c in the diagnosis of diabetes is 6.235%.
Pregnancy ; Child ; Humans ; Female ; Glycated Hemoglobin ; Cohort Studies ; Diabetes Mellitus/diagnosis* ; Sensitivity and Specificity ; ROC Curve

ObjectiveTo evaluate the expression level of DNA damage repair gene FANCI in hepatocellular carcinoma （HCC） and its relationship with prognosis， clinical stage and immune infiltration. MethodsIn this study， TCGA， GTEx， TIMER2.0， HPA database and qRT-PCR， western blot and immunohistochemistry were used to analyze the expression of FANCI in HCC and its correlation with different clinical stages； Kaplan-Meier Plotter database was used to explore the relationship between FANCI and the prognosis of HCC； the TISIDB database was used to analyze the relationship between FANCI and immune cell infiltration and immune checkpoints in HCC； the STRING database was used to detect the protein binding with FANCI； the TCGA and GTEx databases were used for GO and KEGG enrichment analysis； Cell experiments were used to explore the role of FANCI in HCC. ResultsCompared with normal tissues， the mRNA and protein expression levels of FANCI in tumor tissues were up-regulated （P<0.001）； and HCC patients with high expression of FANCI had poor prognosis （P<0.001）； the expression of FANCI in tumor tissues was positively correlated with the number of activated CD4⁺ T cells， the number of Th2 cells and the expression of immune checkpoints， and B-cell and macrophage infiltration was significantly lower in the FANCI high expression group （P<0.01）； GO and KEGG enrichment analysis showed that FANCI-related genes were enriched in various biological processes such as amino acid transmembrane transporter activity； Cell experiments showed that knockdown of FANCI could inhibit the proliferation， invasion and migration of HCC （P<0.05）. ConclusionsFANCI is highly expressed in hepatocellular carcinoma tissues， which may play a role in suppressing anti-tumor immunity and acting on pathways such as amino acid transmembrane transport， and is associated with poor prognosis. The proliferation， invasion and migration ability of hepatocellular carcinoma are inhibited after knocking down FANCI.

Objective: By identifying different metabolites in the serum and clarifying the potential metabolic disorder pathways in metabolic syndrome (MS) and stable coronary artery disease patients, to evaluate the predictive value of specific metabolites based on serum metabolomics for the occurrence of MS and coronary heart disease in overweight or obese populations. Methods: This is a retrospective cross-sectional study. Patients with Metabolic Syndrome (MS group), patients with stable coronary heart disease (coronary heart disease group), and overweight or obese individuals (control group) recruited from the Central District of the First Affiliated Hospital of Zhengzhou University from 2017 to 2019 were assigned to the training set, meanwhile, the corresponding three groups of people recruited from the East District of the hospital during the same period were assigned to the validation test. The serum metabolomics profiles were determined by ultra-performance liquid chromatography-quadrupole/orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS). Clinical characteristics (age, gender, body mass index (BMI), blood pressure, fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), alanine aminotransferase (ALT), aspartate transaminase (AST), total cholesterol (TC), triacylglycerol (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), glomerular filtration rate (eGFR), creatinine (CR)) were also collected. Based on the orthogonal partial least-squares discrimination analysis (OPLS-DA) model, the significantly changed metabolites for MS and coronary artery disease patients were screened according to variable important in projection (VIP), and the receiver operating characteristic (ROC) analysis was evaluated for the risk prediction values of changed metabolites. Results: A total of 488 subjects were recruited in this study, the training set included 40 MS, 249 coronary artery disease patients and 148 controls, the validation set included 16 MS, 18 coronary artery disease patients and 17 controls. We made comparisons of the serum metabolites of coronary artery disease vs. controls, MS vs. controls, and coronary artery disease vs. MS, and a total of 22 different metabolites were identified. The disturbed metabolic pathways involved were phospholipid metabolism, amino acid metabolism, purine metabolism and other pathways. Through cross-comparisons, we identified 2 specific metabolites for MS (phosphatidylcholine (18∶1(9Z)e/20) and pipecolic acid), 4 specific metabolites for coronary artery disease (lysophosphatidylcholine (17∶0), PC(16∶0/16∶0), hypoxanthine and histidine), and 4 common metabolites both for MS and coronary artery disease (isoleucine, phenylalanine, glutathione and LysoPC(14∶0)). Based on the cut-off values from ROC curve, the predictive value of the above metabolites for the occurrence of MS in overweight or obese populations is 100%, the predictive value for the occurrence of coronary heart disease is 87.5%, and the risk predictive value for coronary heart disease in MS patients is 82.1%. Conclusions: The altered serum metabolites suggest that MS and coronary heart disease may involve multiple metabolic pathway disorders. Specific metabolites based on serum metabolomics have good predictive value for the occurrence of MS and coronary heart disease in overweight or obese populations.
Humans ; Metabolic Syndrome ; Overweight ; Coronary Artery Disease ; Retrospective Studies ; Cross-Sectional Studies ; Obesity ; Cholesterol, HDL ; Biomarkers

Objective: By identifying different metabolites in the serum and clarifying the potential metabolic disorder pathways in metabolic syndrome (MS) and stable coronary artery disease patients, to evaluate the predictive value of specific metabolites based on serum metabolomics for the occurrence of MS and coronary heart disease in overweight or obese populations. Methods: This is a retrospective cross-sectional study. Patients with Metabolic Syndrome (MS group), patients with stable coronary heart disease (coronary heart disease group), and overweight or obese individuals (control group) recruited from the Central District of the First Affiliated Hospital of Zhengzhou University from 2017 to 2019 were assigned to the training set, meanwhile, the corresponding three groups of people recruited from the East District of the hospital during the same period were assigned to the validation test. The serum metabolomics profiles were determined by ultra-performance liquid chromatography-quadrupole/orbitrap high-resolution mass spectrometry (UHPLC-Q-Orbitrap HRMS). Clinical characteristics (age, gender, body mass index (BMI), blood pressure, fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), alanine aminotransferase (ALT), aspartate transaminase (AST), total cholesterol (TC), triacylglycerol (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), glomerular filtration rate (eGFR), creatinine (CR)) were also collected. Based on the orthogonal partial least-squares discrimination analysis (OPLS-DA) model, the significantly changed metabolites for MS and coronary artery disease patients were screened according to variable important in projection (VIP), and the receiver operating characteristic (ROC) analysis was evaluated for the risk prediction values of changed metabolites. Results: A total of 488 subjects were recruited in this study, the training set included 40 MS, 249 coronary artery disease patients and 148 controls, the validation set included 16 MS, 18 coronary artery disease patients and 17 controls. We made comparisons of the serum metabolites of coronary artery disease vs. controls, MS vs. controls, and coronary artery disease vs. MS, and a total of 22 different metabolites were identified. The disturbed metabolic pathways involved were phospholipid metabolism, amino acid metabolism, purine metabolism and other pathways. Through cross-comparisons, we identified 2 specific metabolites for MS (phosphatidylcholine (18∶1(9Z)e/20) and pipecolic acid), 4 specific metabolites for coronary artery disease (lysophosphatidylcholine (17∶0), PC(16∶0/16∶0), hypoxanthine and histidine), and 4 common metabolites both for MS and coronary artery disease (isoleucine, phenylalanine, glutathione and LysoPC(14∶0)). Based on the cut-off values from ROC curve, the predictive value of the above metabolites for the occurrence of MS in overweight or obese populations is 100%, the predictive value for the occurrence of coronary heart disease is 87.5%, and the risk predictive value for coronary heart disease in MS patients is 82.1%. Conclusions: The altered serum metabolites suggest that MS and coronary heart disease may involve multiple metabolic pathway disorders. Specific metabolites based on serum metabolomics have good predictive value for the occurrence of MS and coronary heart disease in overweight or obese populations.
Humans ; Metabolic Syndrome ; Overweight ; Coronary Artery Disease ; Retrospective Studies ; Cross-Sectional Studies ; Obesity ; Cholesterol, HDL ; Biomarkers