Objective: To examine the association of hypertension onset age with diabetes, so as to provide insights into reducing the the risk of cardiovascular events. Methods: Permanent residents aged 35 to 75 years were selected through the program of early screening and comprehensive intervention for the high-risk cardiovascular disease population in Changning District and Baoshan District, Shanghai Municipality from 2016 to 2020. Demographic information, disease history, hypertension onset age, blood pressure and fasting blood glucose were collected through questionnaire surveys, physical examination and laboratory tests. The residents were divided into four groups based on the onset age of hypertension: <45, 45-<55, 55-<65 and ≥65 years old, and the residents with normal blood pressure were selected as control. The association of hypertension onset age with prediabetes and diabetes were identified using a multivariable logistic regression model. Results: A total of 25 228 residents were recruited, including 8 753 males (34.70%) and 16 475 females (65.30%). The prevalence of hypertension was 43.80%. There were 1 779, 3 274, 3 781 and 2 217 cases with hypertension onset age of <45, 45-<55, 55-<65 and ≥65 years old, respectively, and 14 177 residents with normal blood pressure. The prevalence of prediabetes and diabetes were 24.01% and 11.29%, respectively. Multivariable logistic regression analysis showed that after adjusting for confounding factors such as gender, marital status and educational level, compared with the normal blood pressure group, the risk of prediabetes was higher in the hypertension onset age groups of <45 (OR=1.345, 95%CI: 1.164-1.553), 45-<55 (OR=1.365, 95%CI: 1.212-1.536) and 55-<65 years old (OR=1.376, 95%CI: 1.239-1.527), and the risk of diabetes was higher in the hypertension onset age groups of <45 (OR=2.302, 95%CI: 1.906-2.775), 45-<55 (OR=2.349, 95%CI: 2.016-2.734), 55-<65 (OR=1.909, 95%CI: 1.667-2.184) and ≥65 years old (OR=1.315, 95%CI: 1.131-1.526). Conclusion There are statistically significant associations between hypertension onset age with prediabetes and diabetes.

ObjectiveTo investigate the high-risk detection rate and aggregation of cardiovascular diseases（CVD） in 8 districts of Shanghai and influencing factors， and to provide scientific references for prevention and control of CVD. MethodsBased on the Cardiovascular Disease Screening and Management Program in Shanghai from 2016 to 2021， 104 685 participants aged 35 to 75 in 8 districts of Shanghai were selected for analysis. χ² test and multivariate logistic regression were used for statistical analysis of the influencing factors of CVD and aggregation of CVD. ResultsThe proportion of high-risk CVD individuals in the population was 19.17%， including the high-risk individuals with hypertension （8.65%）， dyslipidemia （6.33%）， CVD history （5.58%）， and WHO assessed risk ≥20% types （2.69%）， respectively. Old age， overweight and obesity， central obesity， smoking， drinking， farmers， unmarried， and low family income were the risk factors of CVD， while high education level was the protective factor. In the participants， 16 323 people （81.34%） were classified as CVD high-risk groups； The number of aggregation of 1， 2 and ≥3 high risk types of CVD were 16 323（81.34%）， 3 236（16.13%）， 509（2.54%）， respectively. Old age， low education level， low annual family income， farmers， unmarried， smoking， drinking， overweight， obesity and central obesity were associated with the risk of aggregation of high risk types of CVD， and the correlation strength increased with the increase of aggregation types. ConclusionThe prevention and control of CVD in Shanghai should focus on the hypertension， elderly， overweight， obesity， central obesity， smoking， drinking， low educated， low family income， farmers and unmarried people， and targeted intervention measures should be taken to reduce the risk of CVD among residents.

Objective To compare the differences in lipid metabolism between platinum-resistant and platinum-sensitive ovarian cancer patients at stage Ⅲ-Ⅳ,to analyze the differential intestinal flora using 16S rRNA sequen-cing,and to explore the associations among intestinal flora,lipid metabolism characteristics and platinum resistance in ovarian cancer.Methods Patients diagnosed with ovarian cancer at stage Ⅲ-Ⅳ through surgical pathology were selected,including a platinum-resistant group(11 cases)and a platinum-sensitive group(11 cases).The differences in lipid metabolism between the two groups were compared.The differences in gut microbiota between the two groups were investigated using fecal 16S rRNA sequencing.The association among gut microbiota,lipid metabolism characteristics,and platinum resistance in ovarian cancer was analyzed.Results Significant differ-ences were observed in lipid metabolism-related indicators[total cholesterol(TC),high-density lipoprotein choles-terol(HDL-C),non-high-density lipoprotein cholesterol(n-HDL),low-density lipoprotein cholesterol(LDL-C),apolipoprotein(B)]between the two groups,with higher levels in the platinum-resistant group.The Shannon in-dex(P=0.008 3)and Simpson index(P=0.008 2)both showed higher diversity of gut microbiota in platinum-resistant ovarian cancer patients compared to the platinum-sensitive group.However,based on OTUs species clus-tering and relative abundance statistics,certain bacterial abundances differed significantly between the groups.Spe-cies such as Parabacteroides,Akkermansia,Blautia,Lachnoclostridium,Fusicatenibacter,and Megamonas had sig-nificantly higher abundances in the platinum-sensitive ovarian cancer group,and Akkermansia(a lipid metabolism-related bacterial group)was the most prevalent.Conclusion The platinum-resistant group of ovarian cancer ex-hibits significantly higher levels of lipid metabolism and gut microbiota diversity compared to the platinum-sensitive group.This suggests that the increase in lipid metabolism levels and fecal microbiota diversity may be associated with the development of platinum resistance.However,certain microbial taxa are reduced in abundance in the plat-inum-resistant group,such as the distinct Akkermansia genus(a lipid metabolism-related microbial community),which may serve as one of the factors inducing platinum-resistance in ovarian cancer.

Objective: To investigate the reversal effect of cinobufagin ( CINO) combined with 5-fluorouracil (5- FU) on human colorectal cancer ( CRC) drug-resistant cell line HCT15 /5-FU，and to clarify the regulatory role of hypoxia-inducible factor-1α (HIF-1 α) / vascular endothelial growth factor (VEGF) pathway in reversing chemoresistance of colorectal cancer． Methods : MTT assay was used to detect the changes of drug resistance and drug resistance index，flow cytometry was used to evaluate the apoptosis of cells ，scratch test and Transwell assay were used to detect the changes of cell migration and invasion ability．Western blot was used to detect the expressions of epithelial-mesenchymal transition (EMT) related proteins and HIF-1 α/ VEGF pathway-related proteins. Results: Compared with HCT15 cells，the resistance index of HCT15 /5-FU was about 8. 720． CINO combined with 5-FU could significantly enhance the drug sensitivity of HCT15 /5-FU cells，reduce drug resistance index，up-regulate the level of apoptosis，and inhibit cell migration and invasion in a dose-dependent manner．Western blot results showed that CINO combined with 5-FU could inhibit the activity of EMT and HIF-1 α/ VEGF pathway． Conclusion CINO can reverse 5-FU resistance of colorectal cancer in vitro，and its mechanism may be related to the regulation of the HIF-1 α/ VEGF pathway and the inhibition of EMT and angiogenesis.

Objective:To investigate the characteristics of implicit memory and its related factors in schizophrenic patients with negative and positive symptoms.Methods:Ninety-three schizophrenic patients (including 52 cases of negative symptoms group and 41 cases of positive symptoms group) and 30 normal controls (normal group) were tested with the method of Chinese character word completion method. The reaction time and correct rate were recorded and compared with analysis of variance and t-test, and the correlation with demographic factors was analyzed with Pearson correlation analysis. Results:Accuracy of implicit memory test in schizophrenia group: there were statistically significant differences in the accuracy of patients with different course of disease (≤5 years: (38±5)%, 5-15 years: (34±8)%, ≥15 years: (34±7)%, P<0.05).The differences were statistically significant in the accuracy of patients with different education levels(primary school: (35±6)%, junior and senior high school: (34±7)%, secondary college education and above: (39±5)%, P<0.05).The accuracy of patients with education years < 10 years ((34±7)%) was significantly lower than those with education years ≥10 years ((37±6)%, P<0.05).Reaction time results of implicit memory test in schizophrenia group : there were significant differences in reaction time of patients with different disease course(≤5 years: (3 248±971)ms, 5-15 years: (3 515±672)ms, ≥15 years: (3 925±842)ms, P<0.05).The differences were statistically significant in the reaction time of workers ((3 495±712)ms), farmers ((3 870±878)ms) and soldiers ((3 024±924)ms, P<0.05).The reaction time of patients with clozapine ((3 869±871)ms) was significantly higher than that of patients with olanzapine ((3 393±626)ms, P<0.05).Intergroup results of accuracy: the accuracy of normal control group ((40±5)%) was significantly higher than that of negative symptom group ((33±7)%, P<0.01).The accuracy of negative symptom group was significantly lower than that of positive symptom group ((37±6)%, P<0.01).Intergroup reaction time results: the reaction time of normal control group ((2 660±667)ms) was significantly lower than that of negative symptom group ((3 678±951)ms, P<0.01) and positive symptom group ((3 072±865)ms, P<0.05).The reaction time of negative symptom group ((3 678±951)ms)was significantly higher than that of positive symptom group( P<0.01).There was significant negative correlation between the accuracy of implicit memory and the course of disease in schizophrenia ( r=-0.22, P<0.05). Conclusion:The implicit memory of schizophrenic patients is related to the course of disease, taking drugs, and occupation.There may have differences in implicit memory between patients with negative and positive symptoms of schizophrenia.

The epidemiological history and clinical characteristics of 7 cases of COVID-19 and 1 case of close contact in the first family aggregation epidemic of COVID-19 in Gansu Province were analyzed. The first patient A developed on January 22, 2020, with a history of residence in Wuhan, and confirmed severe cases of NCP on January 24, 2020; patient B, on January 23, 2020, diagnosed on January 31, severe cases; patient C, asymptomatic, diagnosed on January 27; patient D, asymptomatic, diagnosed on January 27; patient E, on January 24, diagnosed on January 28; patient F, asymptomatic, diagnosed on January 31; Patient G was asymptomatic and was diagnosed on January 31. In close contact, H was asymptomatic, PCR test was negative and asymptomatic, and he was discharged early. Among the 7 patients, 1 case died of (B) aggravation, and the other patients' condition was effectively controlled after active treatment. Except for the discharged cases, 5 cases were positive for COVID-19 specific IgM antibody and 1 case was negative. In this clustering outbreak, 4 patients remained asymptomatic, but PCR and IgM antibodies were positive, indicating that asymptomatic patients may be the key point to control the epidemic. Specific IgM antibody screening for patients whose pharyngeal swab nucleic acid test is negative but with ground glass-like lung lesions is very important for early detection and early isolation.

The epidemiological history and clinical characteristics of 7 cases of COVID-19 and 1 case of close contact in the first family aggregation epidemic of COVID-19 in Gansu Province were analyzed. The first patient A developed on January 22, 2020, with a history of residence in Wuhan, and confirmed severe cases of NCP on January 24, 2020; patient B, on January 23, 2020, diagnosed on January 31, severe cases; patient C, asymptomatic, diagnosed on January 27; patient D, asymptomatic, diagnosed on January 27; patient E, on January 24, diagnosed on January 28; patient F, asymptomatic, diagnosed on January 31; Patient G was asymptomatic and was diagnosed on January 31. In close contact, H was asymptomatic, PCR test was negative and asymptomatic, and he was discharged early. Among the 7 patients, 1 case died of (B) aggravation, and the other patients' condition was effectively controlled after active treatment. Except for the discharged cases, 5 cases were positive for COVID-19 specific IgM antibody and 1 case was negative. In this clustering outbreak, 4 patients remained asymptomatic, but PCR and IgM antibodies were positive, indicating that asymptomatic patients may be the key point to control the epidemic. Specific IgM antibody screening for patients whose pharyngeal swab nucleic acid test is negative but with ground glass-like lung lesions is very important for early detection and early isolation.

Objective To investigate the effect of chronic intermittent hypoxia(CIH)on serum high-density lipoprotein cholesterol(HDL-C)and the changes of HDL-C metabolism-related indicators such as the expressions of peroxisome proliferators-activated receptor a (PPARα)and adenosine triphosphate binding cassette transporterA1(ABCA1)in liver in male SD rats.Methods Obstructive sleep apnea syndrome(OSAHS)-induced CIH rats were randomly allocated into 6 groups:10％CIH-3 weeks,5％CIH-3 weeks,5％CIH-3 weeks +RH(Removal of hypoxia-3 weeks),10％CIH-3 weeks + RH(Removal of hypoxia-3 weeks),control group-3 weeks,and control group-6 weeks.Serum lipids were measured and compared.To observe and compare the liver pathology,the expression levels of PPARα and ABCA1 in liver tissue of CIH rats were detected by immunohistochemical method.Results The levels of serum TC,TG and LDL-C was significantly higher in CIH rats than in control group.The levels of TC,TG and LDL-C were significantly lower in reoxygenation groups than in CIH groups.There was no significant difference between experiment groups and correspondent control groups(all P＞0.05).Compared with control group,CIH rats had significantly lower levels of serum HDL-C;Compared with CIH groups,the levels of HDL-C were significantly higher in reoxygenation groups.There was no significant difference between experiment groups and correspondent control groups(all P＞0.05).Compared with control group,the expression of PPARα and ABCA1 of CIH group was significantly lower;Compared with CIH groups,the expression of PPARα and ABCA1 was significantly higher in reoxygenation groups;There was no significant difference in the expression of PPARα and ABCA1 between reoxygenation groups and correspondent control groups,in which the oxygen level was recovered to normal.Conclusions The serum HDL-C level was obviously decreased in OSAHS-induced CIH rats,and the decreased serum HDL-C can be effectively improved by reoxygenation intervention.OSAHS-induced CIH may lead to the dyslipidemia through PPARα-ABCA1 pathway,and reoxygenation intervention for three weeks can effectively recover the expression levels of PPARα and ABCA1 to normal levels,which suggests that if CIH is effectively intervented,the change of PPARα and ABCA1 of liver can be reversed,thereby reversing dvslipidemia.

BACKGROUNDSeveral previous studies have shown that diffusion-weighted imaging (DWI) can provide additional information for focal pancreatic lesions by demonstrating more restricted diffusion in solid malignant tumors than in chronic pancreatitis, which can be indicated by a decreased apparent diffusion coefficient (ADC). However, these studies have a modest sample size and convey inconclusive results. The aim of this study was to determine, in a meta-analysis, the diagnostic performance of quantitative diffusion-weighted magnetic resonance imaging in distinguishing pancreatic carcinoma from mass-forming chronic pancreatitis.

METHODSWe determined the sensitivities and specificities across studies. A summary receiver operator characteristic (sROC) curve was constructed to calculate the area under the curve (AUC).

RESULTSThe pooled sensitivity of DWI was 0.86 (95% CI: 0.80-0.91) and the pooled specificity was 0.82 (95% CI: 0.72-0.89). The AUC of the sROC was 0.91 (95% CI: 0.88-0.93).

CONCLUSIONSDWI may be a potentially technically feasible tool for differentiating pancreatic carcinoma from mass-forming chronic pancreatitis. However, large-scale randomized control trials are necessary to assess its clinical value.

Objective: To investigate the effect of chronic intermittent hypoxia (CIH) on liver injury and the expression of fractalkine in rats and explore its possible mechanism.
Methods: A CIH murine model was established to mimic the pathophysiology of obstructive sleep apnea-hypopnea syndrome (OSAHS) in humans. Thirty healthy male Spraque-Dawley rats were randomly assigned to 3 groups: a 5% CIH group, a 5% CIH+RH (removal of hypoxia) group and a control group ( 10 rats in each group). The 5% CIH and 5% CIH+RH groups were exposed to CIH for 3 weeks, 8 h/d, and the frequency of hypoxia was 20 times/h. The 5% CIH+RH group was then exposed to normal gaseous environment for another 3 weeks. After the experiment, liver sections were stained with hematoxylin-eosin (HE) and the liver pathology was observed. The expression of fractalkine in the liver tissues was detected by immunohistochemical method.
Results: 1) Compared with the control group, the hepatic steatosis and inflammatory activities in the 5% CIH and 5% CIH+RH groups were more severe (allP<0.01 ); compared with the 5% CIH group, the hepatic steatosis and inflammatory activity in the 5% CIH+RH group were dramatically reduced (P<0.01 ). 2) Compared with the control group, the fractalkine expression in the 5%CIH and 5% CIH+RH groups was increased (bothP<0.01). The fractalkine expression in the 5% CIH+RH group was dramatically downregulated compared with that in the 5% CIH group (P<0.01).
Conclusion: CIH can induce liver injury and high fractalkine expression in rat liver tissues.