BACKGROUND: The transcription factor POU2F1 regulates the expression levels of microRNAs in neoplasia. However, the miR-29b1/a cluster modulated by POU2F1 in gastric cancer (GC) remains unknown. METHODS: Gene expression in GC cells was evaluated using reverse-transcription polymerase chain reaction (PCR), western blotting, immunohistochemistry, and RNA in situ hybridization. Co-immunoprecipitation was performed to evaluate protein interactions. Transwell migration and invasion assays were performed to investigate the biological behavior of GC cells. MiR-29b1/a cluster promoter analysis and luciferase activity assay for the 3'-UTR study were performed in GC cells. In vivo tumor metastasis was evaluated in nude mice. RESULTS: POU2F1 is overexpressed in GC cell lines and binds to the miR-29b1/a cluster promoter. POU2F1 is upregulated, whereas mature miR-29b-3p and miR-29a-3p are downregulated in GC tissues. POU2F1 promotes GC metastasis by inhibiting miR-29b-3p or miR-29a-3p expression in vitro and in vivo . Furthermore, PIK3R1 and/or PIK3R3 are direct targets of miR-29b-3p and/or miR-29a-3p , and the ectopic expression of PIK3R1 or PIK3R3 reverses the suppressive effect of mature miR-29b-3p and/or miR-29a-3p on GC cell metastasis and invasion. Additionally, the interaction of PIK3R1 with PIK3R3 promotes migration and invasion, and miR-29b-3p , miR-29a-3p , PIK3R1 , and PIK3R3 regulate migration and invasion via the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/Akt/mTOR) pathway in GC cells. In addition, POU2F1 , PIK3R1 , and PIK3R3 expression levels negatively correlated with miR-29b-3p and miR-29a-3p expression levels in GC tissue samples. CONCLUSIONS The POU2F1 - miR-29b-3p / miR-29a-3p-PIK3R1 / PIK3R1 signaling axis regulates tumor progression and may be a promising therapeutic target for GC.
MicroRNAs/metabolism* ; Humans ; Stomach Neoplasms/pathology* ; Cell Line, Tumor ; Cell Movement/physiology* ; Phosphatidylinositol 3-Kinases/metabolism* ; Animals ; Mice ; Octamer Transcription Factor-1/metabolism* ; Mice, Nude ; Class Ia Phosphatidylinositol 3-Kinase/metabolism* ; Neoplasm Invasiveness ; Gene Expression Regulation, Neoplastic/genetics* ; Male ; Immunohistochemistry ; Female

Objective:To investigate the role of TcpC, a virulence factor of uropathogenic Escherichia coli (UPEC), in immune evasion, and analyze its related pathogenic mechanism. Methods:C57BL/6 mice were injected with 10 9 colony-forming unit of wild-type (CFT073 wt) or tcpc gene-knockout (CFT073 Δ tcpc) UPEC CFT073 strains from urethra into bladder to construct a mouse model of pyelonephritis. These mice were sacrificed 5 d after infection and their kidneys were taken to observe the gross pathological changes. Hematoxylin-eosin staining was used to observe histopathological changes in kidney tissues and immunohistochemistry was performed to locate TcpC in kidney tissues. The bacterial loads in urine samples of UPEC infected-mice were counted by ten-fold dilution method, and the presence of tcpc gene in the genomic DNA of bacteria from CFT073-infected mouse kidney or urine samples was measured by PCR. The expression of TcpC at mRNA level was detected by qRT-PCR after infecting dendritic cells with CFT073 wt strains. The influences of UPEC infection on the activation of NF-κB signaling pathway and the secretion of proinflammatory factors by dendritic cells were analyzed by Western blot and ELISA, respectively. The viability of UPEC strains in dendritic cells were observed by laser confocal microscope. Results:Compared with the CFT073 Δ tcpc group, the mice in the CFT073 wt group had obvious abscess in the kidneys as well as massive neutrophil infiltration and abundant TcpC in kidney tissues. The bacterial loads in the urine of CFT073 wt-infected mice were significantly higher than those in the urine of CFT073 Δ tcpc mice. PCR results showed that tcpc gene was successfully amplified from mouse kidney and urine samples. Increased expression of TcpC at both mRNA and protein levels was detected in CFT073 wt-infected dendritic cells. CFT073 wt infection inhibited the phosphorylation of NF-κB p50 and the production of proinflammatory factors in dendritic cells. TcpC promoted the survival of CFT073 wt in dendritic cells. Conclusions:TcpC expression increases significantly during CFT073 wt infection or in mice with CFT073 wt-induced pyelonephritis. It promotes the survival of CFT073 wt in dendritic cells by inhibiting the activation of NF-κB signaling pathway and reducing the secretion of pro-inflammatory cytokines. TcpC is involved in the pathogenesis of UPEC and immune evasion.

Objective To investigate the molecular mechanism of lipid metabolism disorder in mouse spleen tissues due to high-altitude hypoxia.Methods Ten C57BL/6 male mice were randomly divided into normoxia group(maintained at an altitude of 400 m)and high-altitude hypoxia group(maintained at 4200 m)for 30 days(n=5).Lipidomics and metabolomics analyses of the spleen tissue of the mice were conducted using liquid chromatography-mass spectrometry(LC-MS)to identify the differential metabolites,which were further analyzed by KEGG enrichment and pathway analyses,and the differential genes were screened through transcriptome sequencing.Bioinformatics analysis was conducted to identify the upstream target genes of the differential metabolites in specific metabolic pathways.RT-qPCR and Western blotting were used to detect mRNA expressions of 11β-hydroxysteroid dehydrogenase 1(HSD11B1),steroid 5α reductase 1(SRD5A1),prostaglandin-endoperoxide synthase 1(PTGS1),hematopoietic prostaglandin D synthetase(HPGDS),xanthine dehydrogenase(XDH),purine nucleoside phosphorylase(PNP),hypoxanthine guanine-phosphoribosyltransferase(HPRT)and extracellular 5'-nucleotidase(NT5E)and protein expressions of HSD11B1,SRD5A1,XDH,PNP and HPRT in the mouse spleens.Results We identified a total of 41 differential lipid metabolites in the mouse spleens,and these metabolites and the differential genes were enriched in steroid hormone biosynthesis,arachidonic acid metabolism,and purine metabolism pathways.Compared to the mice kept in normoxic conditions,the mice exposed to high-altitude hypoxia showed significantly upregulated expressions of adrenosterone,androsterone,prostaglandin D2,prostaglandin J2,xanthine,xanthosine,and uric acid in the spleen with also changes in the expression levels of HSD11B1,SRD5A1,PTGS1,HPGDS,XDH,PNP,HPRT,and NT5E.Conclusion High-altitude hypoxia can result in lipid metabolism disorder in mouse spleen tissue by affecting steroid hormone biosynthesis,arachidonic acid metabolism,and purine metabolism pathways.

Objective:To compare the effects of different reference brain regions on the semi-quantitative SUV ratio (SUVR) of 18F-Florzolotau PET images of Alzheimer′s disease (AD). Methods:The 18F-Florzolotau PET images of 28 (13 males, 15 females, age (57.3±9.5) years) normal controls (NC), 19 patients (4 males, 15 females, age (73.3±7.3) years) with β-amyloid (Aβ)-positive mild cognitive impairment (MCI) and 40 patients (19 males, 21 females, age (61.9±9.1) years) with AD were collected from Huashan Hospital, Fudan University between November 2018 and July 2020. Six semi-quantitative reference brain regions were defined, including whole cerebellum (WC), cerebellar gray matter (GM), cerebellar white matter (WM), parametric estimation of reference signal intensity (PERSI), WC after partial volume correction (WC_pvc), cerebellar GM after partial volume correction (GM_pvc). SUVR was calculated for 14 ROIs, which included the whole brain defined by the automated anatomical labeling (AAL) template, fusiform, inferior temporal, lingual, middle temporal, occipital, parahippocampal, parietal, posterior cingulate, precuneus defined by the AAL template, and Meta ROI composed of the above brain regions, and braak_Ⅰ-Ⅱ, braak_Ⅲ-Ⅳ, braak_Ⅴ-Ⅵ defined by the Desikan Killiany template. AUC was used to evaluate the classification ability of SUVR, and the correlation between SUVR and clinical scale scores were assessed by Spearman rank correlation analysis. Results:The SUVRs of most brain regions showed a steady upward trend in the AD disease spectrum. In the classification task of NC and MCI, the overall performance of SUVR based on WC_pvc was relatively optimal (AUCs: 0.975-1.000). In the classification task of NC and AD, SUVRs of 10 ROIs based on the WC_pvc method showed the relatively best performance (AUCs: 0.976-1.000). The correlation between SUVR of fusiform based on cerebellar WM and mini-mental state examination (MMSE) score was the strongest ( rs=-0.72, P<0.001), and the SUVR of precuneus based on WC_pvc showed the strongest correlation with clinical dementia rating (CDR) score ( rs=0.78, P<0.001). Conclusion:The SUVR based on WC_pvc method performs well in classification and correlation tasks, and is recommended to be used in semi-quantification of 18F-Florzolotau PET images of AD.

Objective:A voxel-level quantification method based on the tau IQ algorithm and Braak staging, excluding β-amyloid (Aβ) imaging, was developed to achieve specific tau quantification. Methods:This cross-sectional study included 92 subjects (35 males, 57 females; age (62.9±10.4) years) from the Nuclear Medicine/PET Center of Huashan Hospital, Fudan University between November 2018 and July 2020. The cohort comprised 28 cognitively normal (CN) individuals, 20 patients with mild cognitive impairment (MCI), and 44 patients with Alzheimer′s disease (AD). All participants underwent 18F-florzolotau PET imaging, Mini-Mental State Examination (MMSE), and Clinical Dementia Rating (CDR) scoring. A longitudinal tau dataset was constructed based on Braak staging. Voxel-level logistic regression fitting provided a baseline matrix, decomposed via least squares to yield the Tau load coefficient. One-way analysis of variance (with post hoc Tukey) was used to compare Tau load and SUV ratio (SUVR) among groups. ROC curve analysis was used to evaluate classification between CN, MCI and AD. Spearman rank correlation was used to assess the relationships between Tau load, SUVR, and MMSE scores or CDR scores. Results:The Tau load in the CN group was close to 0 and significantly lower than that in the MCI and AD groups ( F=55.03, P<0.001; post hoc tests all P<0.001). Significant differences were also observed in the SUVR across all ROIs ( F values: 36.46-55.38, all P<0.001). Compared to SUVR, Tau load demonstrated greater intergroup differences. In ROC curve analyses between each pair of CN, MCI, and AD groups, Tau load consistently achieved the highest AUC (0.754-1.000). Both Tau load and SUVR for each ROI were negatively correlated with MMSE scores ( rs values: from -0.698 to -0.583, all P<0.05) and positively correlated with CDR scores ( rs values: 0.648-0.783, all P<0.05), with Tau load showing the highest absolute correlation coefficients. Conclusion:Compared to the traditional semi-quantitative SUVR method, the Braak-tau IQ algorithm does not require a specific reference brain region to achieve specific tau quantification.

Objective:To investigate the value of soluble interleukin-6 (IL-6) receptor (sIL-6R) level in predicting ultrafiltration insufficiency in peritoneal dialysis (PD) patients.Methods:It was a prospective cohort study. The patients who received continuous ambulatory PD and regular follow-up between November 2016 and July 2018 in the PD Center of Renji Hospital, School of Medicine, Shanghai Jiao Tong University were enrolled. Enzyme-linked immunosorbent assay was used to determine dialysate sIL-6R and its appearance rate (AR) was calculated. Patients were divided into high sIL-6R AR group and low sIL-6R AR group according to median value of sIL-6R AR and prospectively followed up until death, PD cessation, or the end of the study (December 31, 2022). Multiple linear regression was used to analyze the related factors of sIL-6R AR. Kaplan-Meier method and log-rank test were used to compare the survival rate difference of ultrafiltration insufficiency between high sIL-6R AR group and low sIL-6R AR group. Multivariate Cox regression and multivariate competing risk models were used to assess the risk factors associated with occurrence of ultrafiltration insufficiency.Results:A total of 198 PD patients were enrolled, including 115 (58.1%) males, with age of (54.9±13.7) years old and PD duration of 22.5 (6.6, 65.0) months. The sIL-6R AR of the cohort was 2 094.7 (1 672.4, 2 920.9) pg/min. Compared with low sIL-6R AR（<2 094.7 pg/min）group, high sIL-6R AR（>2 094.7 pg/min）group had older age ( t=-3.269, P=0.001), higher body mass index ( t=-3.248, P=0.001), proportion of combined diabetes mellitus ( χ2=8.890, P=0.003), 24 h glucose exposure ( Z=-2.257, P=0.024), 24 h ultrafiltration capacity ( Z=-2.515, P=0.012), 4 h dialysate creatinine to serum creatinine ratio ( t=-2.609, P=0.010), mass transfer area coefficient of creatinine ( Z=-2.308, P=0.021), IL-6 AR ( Z=-3.533, P<0.001) and solute glycoprotein 130 AR ( Z=-8.670, P<0.001), and lower serum albumin ( t=2.595, P=0.010) and residual renal function ( t=2.133, P=0.033). Multiple linear regression analysis showed that body mass index ( β=0.194, P=0.005), serum albumin ( β=-0.215, P=0.002) and dialysate lg[IL-6 AR] ( β=0.197, P=0.011) were independently correlated with sIL-6R AR. By the end of the study, 57 (28.8%) patients developed ultrafiltration insufficiency. Kaplan-Meier analysis showed that high sIL-6R AR group had a significantly inferior ultrafiltration insufficiency-free survival rate than that in low sIL-6R AR group (log-rank χ 2=5.375, P=0.020). Multivariate Cox regression analysis and multivariate competing risk models showed that high dialysate sIL-6R AR (>2 094.7 pg/min) was an independent influencing factor of ultrafiltration insufficiency ( HR=2.286 , 95% CI 1.254-4.165 , P=0.007 ; SHR=2.074, 95% CI 1.124-3.828, P=0.020) in PD patients. Conclusions:Dialysate sIL-6R level was associated with body mass index, serum albumin and dialysate IL-6 level. Dialysate sIL-6R may be a predictive factor of ultrafiltration insufficiency in PD patients.

Objective To investigate the molecular mechanism of lipid metabolism disorder in mouse spleen tissues due to high-altitude hypoxia.Methods Ten C57BL/6 male mice were randomly divided into normoxia group(maintained at an altitude of 400 m)and high-altitude hypoxia group(maintained at 4200 m)for 30 days(n=5).Lipidomics and metabolomics analyses of the spleen tissue of the mice were conducted using liquid chromatography-mass spectrometry(LC-MS)to identify the differential metabolites,which were further analyzed by KEGG enrichment and pathway analyses,and the differential genes were screened through transcriptome sequencing.Bioinformatics analysis was conducted to identify the upstream target genes of the differential metabolites in specific metabolic pathways.RT-qPCR and Western blotting were used to detect mRNA expressions of 11β-hydroxysteroid dehydrogenase 1(HSD11B1),steroid 5α reductase 1(SRD5A1),prostaglandin-endoperoxide synthase 1(PTGS1),hematopoietic prostaglandin D synthetase(HPGDS),xanthine dehydrogenase(XDH),purine nucleoside phosphorylase(PNP),hypoxanthine guanine-phosphoribosyltransferase(HPRT)and extracellular 5'-nucleotidase(NT5E)and protein expressions of HSD11B1,SRD5A1,XDH,PNP and HPRT in the mouse spleens.Results We identified a total of 41 differential lipid metabolites in the mouse spleens,and these metabolites and the differential genes were enriched in steroid hormone biosynthesis,arachidonic acid metabolism,and purine metabolism pathways.Compared to the mice kept in normoxic conditions,the mice exposed to high-altitude hypoxia showed significantly upregulated expressions of adrenosterone,androsterone,prostaglandin D2,prostaglandin J2,xanthine,xanthosine,and uric acid in the spleen with also changes in the expression levels of HSD11B1,SRD5A1,PTGS1,HPGDS,XDH,PNP,HPRT,and NT5E.Conclusion High-altitude hypoxia can result in lipid metabolism disorder in mouse spleen tissue by affecting steroid hormone biosynthesis,arachidonic acid metabolism,and purine metabolism pathways.

ObjectiveTo compare the annual and age trends of the age-standard incidence rate （ASIR） and the age-standard mortality rate （ASMR） of lung cancer in countries with different human development index （HDI） from 1990 to 2019. MethodsThe data were collected from the global burden of disease study and GLOBOCAN 2020. The average annual percentage change （AAPC） and age trends of ASIR and ASMR in lung cancer were analyzed by the Joinpoint regression model， and the comparison between the four groups was analyzed by Kruskale-Wallis analysis. ResultsIn 2020， the incidence and mortality of lung cancer gradually increased with age and HDI grade. From 1990 to 2019， the global ASIR and ASMR of lung cancer decreased， and the ASIR of lung cancer among male decreased， while the ASIR of lung cancer among female increased. The results showed that ASIR of lung cancer in female residents in countries with very high HDI increased significantly from 1996 to 2011， resulting in an overall upward trend in female ASIR， while the other groups showed a downward trend. It was found that ASIR and ASMR of lung cancer in China and India were on the rise， while ASIR and ASMR of lung cancer in Russia and the United States were on the decline. ConclusionAlthough very high/high HDI countries face a higher burden of lung cancer occurrence and death， the accumulation of lung cancer burden is completed in the transitioning period. Therefore， lung cancer prevention measures in countries in transition are critical for global lung cancer control.

Chronic diseases have become an important public health problem for people under 70 years of age worldwide， while also causing a great economic burden. The establishment of clinical prediction models can help to predict the risk of a disease or the prognostic effect of a study subject in advance by means of index testing at the early stage of chronic diseases， and plays an increasingly important role in clinical practice. This study introduces clinical diagnostic prediction models and clinical prognostic prediction models， and reviews clinical data processing， clinical prediction model building， visualization methods and model evaluation from the perspective of the application of clinical prediction models， which contribute to the correct and reasonable use of prediction models in clinical research.

Objective:To provide scientific basis for prevention and control measures of island regions through analyzing the characteristics of malignant tumor incidence and mortality in eastern island areas of China and comparing the data with the national cancer mortality data in the same period. Methods:Using the incidence and mortality data of malignant tumor in Daishan county,Zhoushan collected by the Daishan Center for Disease Control and Prevention(CDC)from 2014 to 2019,which was stratified by gender,the crude incidence rates(CIR)and crude mortality rates(CMR)were calculated,and the top 10 malignant tumors with the highest incidence or mortality rates were then ranked.The Segi's world standard population was used to calculate the age-standardized incidence(ASIR)and age-standardized mortality rate(ASMR).The local data were compared with the national cancer mortality data from 2014 to 2019,and Chi-square test was used to analyze the differences between these two sets of data using the SPSS software.The difference was considered statistically significant when P<0.05. Results:There was a total of 7 305 incidence cases of malignant tumors in Daishan county,Zhoushan from 2014 to 2019.The CIR was 662.39/105 and the ASIR was 306.81/105.Notably,the CIR was the highest in the age group of 75-79 years old.The top 5 malignant tumors with the highest incidence rates were lung cancer(27.15％),gastric cancer(12.76％),liver cancer(10.95％),colorectal cancer(6.92％)and breast cancer(5.42％),whose ASIR were 75.09/105,32.06/105,31.01/105,17.81/105 and 18.36/105,respectively.There was a total of 3 412 mortality cases of malignant tumors in Daishan county,Zhoushan from 2014 to 2019.The CMR was 309.39/105 and the ASMR was 122.73/105.Notably,the CMR was the highest in the age group of 80-85 years old.The top 5 malignant tumors with the highest mortality rates were lung cancer(24.94％),liver cancer(18.64％),gastric cancer(17.00％),colorectal cancer(7.56％)and esophageal cancer(5.72％),whose ASMR were 29.65/105,24.97/105,19.01/105,8.75/105 and 6.60/105,respectively.The total ASMR of malignant tumors in Daishan county,Zhoushan was higher than national total ASMR from 2014 to 2019(100.34/105)(P<0.001).Specifically,the ASMR of gastric cancer,lung cancer and colorectal cancer in Daishan county were significantly higher than national levels(gastric cancer:12.46/105;liver cancer:16.45/105;colorectal cancer:6.63/105)(P<0.01),whereas no significant difference in the ASMR of lung cancer and esophageal cancer between Daishan county and the whole nation(lung cancer:28.06/105;esophageal cancer:7.61/105)was observed. Conclusion:Lung cancer,gastric cancer,liver cancer and colorectal cancer were malignant tumors with higher incidence and mortality rates in Daishan county,Zhoushan from 2014 to 2019.Particularly,the ASMR of gastric cancer,liver cancer and colorectal cancer were significantly higher than the national levels,and these malignant tumors should be considered as the major focus of cancer prevention and control.