ObjectiveTo investigate the role of 4-week high-intensity interval training (HIIT) in modulating the metabolic homeostasis of the pyruvate-lactate axis in the hippocampus of rats with chronic unpredictable mild stress (CUMS) to improve their depressive-like behavior. MethodsForty-eight SPF-grade 8-week-old male SD rats were randomly divided into 4 groups: the normal quiet group (C), the CUMS quiet group (M), the normal exercise group (HC), and the CUMS exercise group (HM). The M and HM groups received 8 weeks of CUMS modeling, while the HC and HM groups were exposed to 4 weeks of HIIT starting from the 5th week (3 min (85%-90%) S_max+1 min (50%-55%) S_max, 3-5 cycles, S_max is the maximum movement speed). A lactate analyzer was used to detect the blood lactate concentration in the quiet state of rats in the HC and HM groups at week 4 and in the 0, 2, 4, 8, 12, and 24 h after exercise, as well as in the quiet state of rats in each group at week 8. Behavioral indexes such as sucrose preference rate, number of times of uprightness and number of traversing frames in the absenteeism experiment, and other behavioral indexes were used to assess the depressive-like behavior of the rats at week 4 and week 8. The rats were anesthetized on the next day after the behavioral test in week 8, and hippocampal tissues were taken for assay. LC-MS non-targeted metabolomics, target quantification, ELISA and Western blot were used to detect the changes in metabolite content, lactate and pyruvate concentration, the content of key metabolic enzymes in the pyruvate-lactate axis, and the protein expression levels of monocarboxylate transporters (MCTs). Results4-week HIIT intervention significantly increased the sucrose preference rate, the number of uprights and the number of traversed frames in the absent field experiment in CUMS rats; non-targeted metabolomics assay found that 21 metabolites were significantly changed in group M compared to group C, and 14 and 11 differential metabolites were significantly dialed back in the HC and HM groups, respectively, after the 4-week HIIT intervention; the quantitative results of the targeting showed that, compared to group C, lactate concentration in the hippocampal tissues of M group, compared with group C, lactate concentration in hippocampal tissue was significantly reduced and pyruvate concentration was significantly increased, and 4-week HIIT intervention significantly increased the concentration of lactate and pyruvate in hippocampal tissue of HM group; the trend of changes in blood lactate concentration was consistent with the change in lactate concentration in hippocampal tissue; compared with group C, the LDHB content of group M was significantly increased, the content of PKM2 and PDH, as well as the protein expression level of MCT2 and MCT4 were significantly reduced. The 4-week HIIT intervention upregulated the PKM2 and PDH content as well as the protein expression levels of MCT2 and MCT4 in the HM group. ConclusionThe 4-week HIIT intervention upregulated blood lactate concentration and PKM2 and PDH metabolizing enzymes in hippocampal tissues of CUMS rats, and upregulated the expression of MCT2 and MCT4 transport carrier proteins to promote central lactate uptake and utilization, which regulated metabolic homeostasis of the pyruvate-lactate axis and improved depressive-like behaviors.

ObjectiveThis study aimed to investigate the effects of 4-week high-intensity interval training (HIIT) on synaptic plasticity in the prefrontal cortex (PFC) of rats exposed to chronic unpredictable mild stress (CUMS), and to explore its potential mechanisms. MethodsA total of 48 male Sprague-Dawley rats were randomly divided into 4 groups: control (C), model (M), control plus HIIT (HC), and model plus HIIT (HM). Rats in groups M and HM underwent 8 weeks of CUMS to establish depression-like behaviors, while groups HC and HM received HIIT intervention beginning from the 5th week for 4 consecutive weeks. The HIIT protocol consisted of repeated intervals of 3 min at high speed (85%-90% maximal training speed, S_max) alternated with one minute at low speed (50%-55% S_max), with 3 to 5 sets per session, conducted 5 d per week. Behavioral assessments and tail-vein blood lactate levels were measured at the end of the 4th and 8th weeks. After the intervention, rat PFC tissues were collected for Golgi staining to analyze synaptic morphology. Enzyme-linked immunosorbent assays (ELISA) were employed to detect brain-derived neurotrophic factor (BDNF), monocarboxylate transporter 1 (MCT1), lactate, and glutamate levels in the PFC, as well as serotonin (5-HT) levels in serum. Additionally, Western blot analysis was conducted to quantify the expression of synaptic plasticity-related proteins, including c-Fos, activity-regulated cytoskeleton-associated protein (Arc), and N-methyl-D-aspartate receptor 1 (NMDAR1). ResultsCompared to the control group (C), the CUMS-exposed rats (group M) exhibited significant reductions in sucrose preference rates, number of grid crossings, frequency of upright postures, and entries into and duration spent in open arms of the elevated plus maze, indicating marked depressive-like behaviors. Additionally, the group M showed significantly reduced dendritic spine density in the PFC, along with elevated levels of c-Fos, Arc, NMDAR1 protein expression, and increased concentrations of lactate and glutamate. Conversely, BDNF and MCT1 contents in the PFC and 5-HT levels in serum were significantly decreased. Following HIIT intervention, rats in the group HM displayed considerable improvement in behavioral indicators compared with the group M, accompanied by significant elevations in PFC MCT1 and lactate concentrations. Furthermore, HIIT notably normalized the expression levels of c-Fos, Arc, NMDAR1, as well as glutamate and BDNF contents in the PFC. Synaptic spine density also exhibited significant recovery. ConclusionFour weeks of HIIT intervention may alleviate depressive-like behaviors in CUMS rats by increasing lactate levels and reducing glutamate concentration in the PFC, thereby downregulating the overexpression of NMDAR, attenuating excitotoxicity, and enhancing synaptic plasticity.

Objective To investigate the diagnostic value of contrast-enhanced ultrasound(CEUS)combined with serum Smad ubiquitin regulatory factor 1(SMURF1)detection for thyroid cancer.Methods A total of 144 suspected thyroid cancer patients admitted to Lishui branch of Zhongda Hospital Affiliated to Southeast University from February 2019 to February 2020 were selected as the study subjects.Based on the histopathological results,they were divided into the thyroid cancer group(76 cases)and the benign group(68 cases).All patients underwent contrast-enhanced ultrasound examination and serum SMURF1 level detection;the diagnostic value of contrast-enhanced ultrasound parameters,serum SMURF1 detection alone,and the combination of the two methods for thyroid cancer were analyzed.Results Contrast-enhanced ultrasound parameters peak intensity(PI),mean perfusion intensity(SImean)and maximum perfusion intensity(SImax)in the thyroid cancer group were lower than those in the benign group,and the level of SMURF1 mRNA was higher than that in the benign group(P<0.05).The sensitivity of contrast-enhanced ultrasound parameter SImax in the diagnosis of thyroid cancer was 82.89%,the specificity was 72.06%,the accuracy was 77.78%,and the Kappa value was 0.552.The sensitivity of serum SMURF1 in the diagnosis of thyroid cancer was 65.79%,the specificity was 94.12%,the accuracy was 79.17%,and the Kappa value was 0.589.The sensitivity,specificity,accuracy and Kappa value of SImax combined with serum SMURF1 in the diagnosis of thyroid cancer were 97.37%,85.29%,91.67%and 0.832,respectively,which were higher than those of SImax and SMURF1 alone(P<0.05),the AUC of the combination of the two methods was 0.927,which was significantly higher than that of the two methods alone(Zcombined vs.SImax=3.999,P<0.001;Zcombined vs.SMURF1=3.270,P=0.001).Conclusion Contrast-enhanced ultrasound combined with serum SMURF1 detection can improve the diagnostic efficiency of thyroid cancer,which may avoid the over-diagnosis on the premise of ensuring the effective diagnosis of thyroid cancer patients.

Objective To establish a dynamic prediction model of fatal massive hemorrhage in trauma based on the vital signs time series data and machine learning algorithms.Methods Retrospectively analyze the vital signs time series data of 7522 patients with trauma in the Medical Information Mart for Intensive Care-Ⅳ(MIMIC-Ⅳ)database from 2008 to 2019.According to the occurrence of posttraumatic fatal massive hemorrhage,the patients were divided into two groups:fatal massive hemorrhage group(n=283)and non-fatal massive hemorrhage group(n=7239).Six machine learning algorithms,including logistic regression(LR),support vector machine(SVM),random forests(RF),adaptive boosting(AdaBoost),gated recurrent unit(GRU),and GRU-D were used to develop a dynamic prediction models of fatal massive hemorrhage in trauma.The probability of fatal massive hemorrhage in the following 1,2,and 3 h was dynamically predicted.The performance of the models was evaluated by accuracy,sensitivity,specificity,positive predictive value,negative predictive value,Youden index,and area under receiver operating characteristic curve(AUC).The models were externally validated based on the trauma database of the Chinese PLA General Hospital.Results In the MIMIC-Ⅳ database,the set of dynamic prediction models based on the GRU-D algorithm was the best.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.946±0.029,0.940±0.032,and 0.943±0.034,respectively,and there was no significant difference(P=0.905).In the trauma dataset,GRU-D model achieved the best external validation effect.The AUC for predicting fatal major bleeding in the next 1,2,and 3 h were 0.779±0.013,0.780±0.008,and 0.778±0.009,respectively,and there was no significant difference(P=0.181).This set of models was deployed in a public web calculator and hospital emergency department information system,which is convenient for the public and medical staff to use and validate the model.Conclusion A set of dynamic prediction models has been successfully developed and validated,which is greatly significant for the early diagnosis and dynamic prediction of fatal massive hemorrhage in trauma.

Aim To observe the role of salvianolic acid B(Sal B)in enhancing the survival of random skin flaps and to preliminarily explore its potential mecha-nisms.Methods The appearance,degree of edema,color and hair condition of the skin flap were evaluated seven days after operation.The vascular network and blood flow of random flaps were measured by laser Doppler flow measurement.HE staining was used to detect the growth of microvessels in random flaps.The expressions of VEGF and CD34 were detected by im-munohistochemistry,the expressions of RIPK1,2 and LC3 Ⅱ were detected by immunofluorescence,and the effects of autophagy related proteins and signaling path-ways were detected by Western blot.Results The ex-perimental results showed that Sal B induced autophagy in the random skin flaps,promoted angiogenesis,and reduced oxidative stress and necrotic apoptosis,signifi-cantly increasing the survival rate of the flaps.Immu-nohistochemistry,immunofluorescence staining,and Western blot confirmed that Sal B induced autophagy in the random skin flaps by activating TFE3 protein.Conclusion Sal B can promote autophagy in cells of random skin flaps and reduce their necrotic apoptosis by activating TFE3 protein.

OBJECTIVE: To evaluate the associations of lipid indicators and mortality in Beijing Elderly Comprehensive Health Cohort Study. METHODS: A prospective cohort was conducted based on Beijing Elderly Comprehensive Health Cohort Study with 4499 community older adults. After the baseline survey, the last follow-up was March 31, 2021 with an average 8.13 years of follow-up. Cox proportional hazard model was used to estimate the hazard ratios (HR) with 95% CI for cardiovascular disease (CVD) death and all-cause death in associations with baseline lipid indicators. RESULTS: A total of 4499 participants were recruited, and the mean levels of uric acid, body mass index, systolic blood pressure, diastolic blood pressure, fasting plasma glucose, total cholesterol (TC), triglyceride, and low-density lipoprotein cholesterol (LDL-C) showed an upward trend with the increasing remnant cholesterol (RC) quarters (P_trend < 0.05), while the downward trend was found in high-density lipoprotein cholesterol (HDL-C). During the total 36,596 person-years follow-up, the CVD mortality and all-cause mortality during an average 8.13 years of follow-up was 3.87% (95% CI: 3.30%-4.43%) and 14.83% (95% CI: 13.79%-15.86%) with 174 CVD death participants and 667 all-cause death participants. After adjusting for confounders, the higher level of TC (HR = 0.854, 95% CI: 0.730-0.997), LDL-C (HR = 0.817, 95% CI: 0.680-0.982) and HDL-C (HR = 0.443, 95% CI: 0.271-0.724) were associated with lower risk of CVD death, and the higher level of HDL-C (HR = 0.637, 95% CI: 0.501-0.810) were associated with lower risk of all-cause death. The higher level of RC (HR = 1.276, 95% CI: 1.010-1.613) increase the risk of CVD death. Compared with the normal lipid group, TC ≥ 6.20 mmol/L group and LDL-C ≥ 4.10 mmol/L group were no longer associated with lower risk of CVD death, while RC ≥ 0.80 mmol/L group was still associated with higher risk of CVD death. In normal lipid group, the higher levels of TC, LDL-C and HDL-C were related with lower CVD death. CONCLUSIONS In community older adults, higher levels of TC and HDL-C were associated with lower CVD mortality in normal lipid reference range. Higher RC was associated with higher CVD mortality, which may be a better lipid indicator for estimating the CVD death risk in older adults.

Aim To predict the key targets and signaling pathways of Semiliquidambar cathayen. sis Chang (JLBFH) by network pharmacology and molecular docking,etc, then to explore the mechanism of JLBFH' s effect on inflammatory response to depression through reserpine-induced depression rat model. Methods The target of drug and disease was predicted by network pharmacological database, protein interaction network diagram was constructed, biofunctional enrichment and pathways were analyzed, and molecular docking prediction was performed by AGFR software. Based on reserpine-induced depression, the role of JLBFH in depression inflammation was verified by behavior, molecular biology and pathological examination, and so on. Results A total of 13 active ingredients were screened, 11 key targets of JLBFH modulation of depression were selected, and the bioenrichment results were mainly related to cognition, prominent plasticity regulation, etc. The pathways were mainly related to Rapl signaling pathway, Toll-like receptor signaling pathways. The results of validation experiments showed that high and low doses of JLBFH extract significantly shortened the forced swimming immobility time in mice, markedly reduced the retention time in the circle of rats, increased serum levels of 5-HT and DA, decreased serum levels of IL-6, improved inflammatory infiltration in the prefrontal cortex, decreased brain tissue levels of IL-6,IL-1β ,TNF-α mRNA expression,and increased AKT1 mRNA expression in brain tissue. Conclusions The present study reveals that JLBFH can exert antidepressant effects through multi-component, multi-target and multi-pathway, and the experimental validation results show that JLBFH can improve the d¬pression-like symptoms by improving the inflammatory response of depression through TOLL-like signaling pathway.

Objective To explore the role pathway and pattern of the myeloma cancer gene (MYC) and its mRNA interaction with the microRNAs(miRNAs) and circular RNA(circRNAs) at hour 0, hour 6 and hour 72 in the rat liver regeneration. Methods The rat 2/3 hepatectomy (PH) model was prepared as described by Higgins, the hepatocytes were isolated according to the method of Smedsrod et al. The expression changes of mRNA, miRNA and circRNA [together named as competing endogenous RNA (ceRNA)] were detected by the large-scale quantitative detection technology, the interaction network of ceRNA was constructed by Cytoscape 3.2 software, and their correlation in expression and role were analyzed by ceRNA comprehensive analysis. Results It was found that at hour 0 and hour 6 after PH, the ratio value of MYC mRNA showed 0.15±0.03 and 2.36±0.20, miR-134-5p indicated 3.22±0.61 and 0.08±0.02, circRNA_12112 displayed 0.68±0.21 and 13.35±3.53. At the same time, the cell cycle initiation-related genes ras association domain family member 1 (RASSF1), cyclin dependent kinase 2 (CDK2), superoxide dismutase 2 (SOD2), which were promoted in expression by MYC, were down-regulated at hour 0 after PH, but the cell cycle initiation-related genes nestin (NES), RAD21 cohesin complex component (RAD21), CUE domain containing 2 (CUEDC2), which are inhibieted in expression by MYC, had no meaningful express changes at hour 0 after PH. On the other hand, the cell cycle initiation-related gene SOD2, which was promoted in expression by MYC, was up-regulated at hour 6 after PH, but the cell cycle initiation-related genes NES, RAD21, CUEDC2, which are inhibieted in expression by MYC, were down-regulated at hour 6 after PH. In contrary, at hour 72 after PH, the ratio value of MYC mRNA showed 2.36±0.20, miR-880-3p indicated 0.54±0.01, circRNA_09599 displayd 0.54±0.16. At the same time, the cell cycle termination-related gene hepatocyte growth factor (HGF), which is promoted in expression by MYC, was up-regulated 72 hours after PH, the cell cycle termination-related genes MET proto-oncogene receptor tyrosine kinase (MET) and cyclin dependent kinase inhibitor 1A (CDKN1A), which are inhibieted in expression by MYC, were down-regulated 72 hours after PH. Conclusion The correlation in expression and role of the miRNAs, which are inhibited by circRNAs, MYC, its mRNA is inhibited by miRNAs, and the cell cycle initiation-related and cell cycle termination-related genes, which are regulated by MYC, are helpful for the hepatocyte to be in cell cycle initiation state at hour 6 after PH and to be in cell cycle termination state at hour 72 after PH.

[ Abstract] Objective To explore the role pathway and pattern of the Kruppel-like factor 4 (KLF4) and its mRNA interaction with microRNA (miRNAs) and circular RNA (circRNAs) at 0 hour and the 120 th hour in the rat liver regeneration. Methods The rat 2 / 3 hepatectomy (partial hepatectomy, PH) model was prepared as described by Higgins, the hepatocytes were isolated according to the method of Smedsrod et al, the expression changes of mRNA, miRNA and circRNA together named as competing endogenous RNA (ceRNA) were detected by the large-scale quantitative detection technology, the interaction network of ceRNA was constructed by Cytoscape 3. 2 software, and their correlation in expression and role were analyzed by ceRNA comprehensive analysis. Results It was found that at the 0 hour and the 120th hour PH, the ratio value of KLF4 mRNA showed 1. 00±0. 16 and 3. 14±0. 27, miR-881-3p displays 18. 30±1. 44 and 0. 47±0. 02, circRNA_20298 indicated 0. 32±0. 10 and 4. 24±0. 22, circRNA_14826 showed 0. 42±0. 13 and 0. 61±0. 08. At the same time, the four kinds of cell apoptosis-related genes adrenoceptor beta 2 (ADRB2), dimethylarginine dimethylaminohydrolase 2 (DDAH2), annexin A5 (ANXA5), ect, which were promoted in expression by KLF4, were down-regulated at 0 hour after PH, but the cell apoptosis-related genes synuclein gamma (SNCG), glutathione-disulfide reductase (GSR), FYVE, RhoGEF and PH domain containing 4 (FGD4), ect, which were inhibited in expression by KLF4, were up-regulated at 0 hour after PH. On the other hand, the cell apoptosis-related genes ANXA5 and thymosin beta 10 (TMSB10), which are promoted in expression by KLF4, were up-regulated at the 120th hour after PH, but the cell apoptosis-related genes chloride intracellular channel 4 (CLIC4) and ataxin 3 (ATXN3), ect, which were inhibited in expression by KLF4, were down-regulated at the 120th hour after PH. Conclusion The correlation in expression and role of the miRNAs, which are inhibited by circRNAs, KLF4, its mRNA is inhibited by miRNAs, and the cell apoptosis-related genes, which are regulated by KLF4, are helpful for the hepatocyte to be in active state 0 hour after PH and to be in apoptotic state 120-hour after PH.

Objective To study the effect and mechanism of estradiol (E