Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Humans ; Early Detection of Cancer ; Endoscopy ; Esophageal Neoplasms/epidemiology* ; Risk Factors ; Mass Screening

Objective To assess whether pregnancy affects the survival of pregnancy-associated breast cancer (PABC), compared with non-PABC. Methods We retrospectively analyzed the data of PABC patients.PABC cases and non-PABC cases were matched with 1:2 according to T stage, molecular classification, age of onset and year of diagnosis.The Kaplan-Meier method was used to estimate DFS and OS, and Log rank test was used for comparison.Cox regression analysis was used to evaluate the risk factors that affect the prognosis of PABC. Results We enrolled 35 patients in the PABC group (pregnancy: 10;postpartum: 25), and 70 patients in the non-PABC group.The median follow-up time was 68.5 and 70.7 months, respectively.The 5-year DFS was 51.6% in the PABC group, and that of the non-PABC group was 72.8%(χ²=4.72, P=0.029);the 5-year OS of the PABC group and the non-PABC group were similar (χ²=1.769, P=0.183).Cox regression analysis showed that pregnancy was an independent risk factor for DFS of PABC patients (P=0.011). Conclusion Patients with breast cancer during pregnancy have a higher risk of recurrence.Further research is necessary to diagnose pregnancy-associated breast cancer earlier and adopt measures to improve the curative effect.

Objective:To investigate the effect and mechanism of miR-195 regulating FOXK1 gene and PI3K/Akt pathway on stomach adenocarcinoma proliferation, invasion and migration ability.Methods:Public database samples were employed to analyze the expression differences and prognostic significance of miR-195 in stomach adenocarcinoma. After overexpression of mir-195-5p in two cell lines, MGC803 and AGS, altered cell proliferation, invasion, and migration abilities were detected by Alamar Blue, Wound healing, and Transwell assays. The potential target genes and binding sites of miR-195 were predicted by the starBase. Western blot was used to detect the expression levels of foxk1 and phosphorylation sites in the PI3K/Akt pathway of target genes after overexpression of mir-195-5p. A Dual-luciferase reporter assay was used to verify the relationship between mir-195-5p and foxk1. Statistical analyses were performed with IBM SPSS 22 software and R 4.0.3.Results:Our results showed a significant over-expression of miR-195 in the tumor tissues, compared with the paired normal tissues ( P<0.001) , which could inhibit the proliferation and invasion of stomach carcinoma cells and significantly correlated with survival ( P=0.011) . Moreover, our study indicated that miR-195 depressed the expression of FOXK1 and significantly reduced the activation of the PI3K/Akt pathway, which had a negative effect on the proliferation and invasion of stomach carcinoma cells. The phosphorylated Akt (s473 site) expression in the PI3K/Akt pathway was significantly decreased after overexpression of miR-195. Conclusion:Overall, our studies clarify the important function of the miR-195 in the diagnosis and therapy of patients with stomach carcinoma and reveal the FOXK1 and PI3K/Akt pathway regulation by the miR-195, which are of important clinical significance in the differential diagnosis.

BACKGROUND: Severe hand-foot-and-mouth disease (HFMD) is a life-threatening contagious disease among young children and infants. Although enterovirus A71 has been well acknowledged to be the dominant cause of severe HFMD, there still remain other unidentified risk factors for severe HFMD. Previous studies mainly focused on identifying the individual-level risk factors from a clinical perspective, while rare studies aimed to clarify the association between regional-level risk factors and severe HFMD, which may be more important from a public health perspective. METHODS: We retrieved the clinical HFMD counts between 2008 and 2014 from the Chinese Center for Disease Control and Prevention, which were used to calculated the case-severity rate in 143 prefectural-level cities in mainland China. For each of those 143 cities, we further obtained city-specific characteristics from the China City Statistical Yearbook (social and economic variables) and the national meteorological monitoring system (meteorological variables). A Poisson regression model was then used to estimate the associations between city-specific characteristics (reduced by the principal component analysis to avoid multicollinearity) and the case-severity rate of HFMD. The above analysis was further stratified by age and gender to examine potential modifying effects and vulnerable sub-populations. RESULTS: We found that the case-severity rate of HFMD varied dramatically between cities, ranging from 0 to 8.09%. Cities with high case-severity rates were mainly clustered in Central China. By relating the case-severity rate to city-specific characteristics, we found that both the principal component characterized by a high level of social and economic development (RR = 0.823, 95%CI 0.739, 0.916) and another that characterized by warm and humid climate (RR = 0.771, 95%CI 0.619, 0.960) were negatively associated with the case-severity rate of HFMD. These estimations were consistent across age and gender sub-populations. CONCLUSION Except for the type of infected pathogen, the case-severity rate of HFMD was closely related to city development and meteorological factor. These findings suggest that social and environmental factors may also play an important role in the progress of severe HFMD.
Adolescent ; Child ; Child, Preschool ; China/epidemiology* ; Cities/epidemiology* ; Female ; Hand, Foot and Mouth Disease/virology* ; Humans ; Incidence ; Infant ; Infant, Newborn ; Male ; Risk Factors

Aim To assess the effects of Banqiao Codonopisis Pilosula(BCP)decoction on learning and memory dysfunction in AD model rats induced by high activity GSK-3β and its possible mechanism.Methods The SD rats(4 months old,♂)were divided into five groups,namely,sham-operated group(blank group),AD model group,BCP high-dose(2.16 g·kg-1·d-1)group,BCP medium-dose(1.08 g·kg-1·d-1)group,and BCP lower-dose(0.54 g·kg-1·d-1)group.Treatment group received BCP decoction by gavage once a day for 14 days,while other groups were offered drinking water by gavage once a day for 14 days.The autonomous behavior activities of all rats were observed and recorded after gavage.In the last seven days by gavage,Morris water maze test was used to test the spatial learning and memory ability of the five groups.After five days training,treatment groups and AD model group were injected wortmannin(WT,PI3K specific inhibitor)and GF-109203X(GFX,PKC specific inhibitor)(100 μmol·L-1 of each,total volume of 10 μL)into the right lateral ventricle of the rats.The blank group was only injected 2％DMSO.The spatial memory retention was detected by water maze 24 hours after lateral ventricle injection.Then,changes in the spatial learning memory of rats were observed.The level of Tau phosphorylation in SD rat hippocampus and the expression and activity changes of related protein kinase GSK-3β were detected by Western blot and immunohistochemistry.The changes of Nissl bodies in SD rat hippocampus were observed by Nissl′s staining.Results After intragastric administration of BCP,the rat autonomous behavior activities in each group all showed a declining trend,and the differences in low-dose and middle-dose groups had statistical significance compared with blank group.The Morris water maze tests showed that the latency navigation of model group was significantly longer than that of blank group(P<0.01),while that of the BCP three doses groups was shorter than that of model group(P<0.05).Compared with the same group,the latency navigation of the three groups after gavage BCP low,middle and high dose was significant shorter than that without gavage(P<0.05).Western blot results showed that the activity of GSK-3β in AD model group was up-regulated compared with the blank group.However,BCP inhibited activity of GSK-3β.Western blot and immunohistochemistry results showed the level of Tau phosphorylation in AD model group was increased compared with the blank group in the area of CA3(P<0.05).Compared with AD model group,the level of Tau phosphorylation was decreased in treatment group.Nissl′s staining results showed that dendritic spines in AD model group was significantly attenuated compared with the blank group(P<0.05).Far more dendritic spines were observed in treatment group than in AD model group.The number of Nissl′s bodies in neuron cells of hippocampus in hippocampal CA3 was obviously larger in treatment groups than in AD model group.These effect of BCP was dose-dependent.Conclusions BCP can prevent the learning and memory dysfunction in AD model rats induced by high activity of GSK-3β.The mechanism may be related to inhibiting GSK-3β activity and then reducing the level of phosphorylation of Tau and improving neural development.

Objective To investigate the interrelated liver damage and hepatitis B virus infection among breast cancer patients after chemotherapy, to provide guidance for future breast reduction combined hepatitis B virus infection after chemotherapy liver damage.Methods120 cases of breast cancer patients undergoing chemotherapy combined hepatitis B carries from June 2012 to November 2016 in ningbo women and children's hospital were selected as the research object, depending on whether the infection with the hepatitis B virus into the study group and the control group, the study group HBV-DNA, HBsAg are positive, totaling 62 cases;control group, HBV-DNA, HBsAg were negative, totaling 58 cases;compare two groups of patients after chemotherapy in cases of liver damage.ResultsThe study group after chemotherapy, the incidence of liver dysfunction 48.28% in the control group after chemotherapy, the incidence of liver dysfunction 6.45 percent, the study group after chemotherapy, the incidence of liver dysfunction was significantly lower than the control group, the difference was statistically significant (P<0.05).Study group Ⅰ liver damage degree, degree Ⅱ, degree Ⅲ, degree Ⅳ of apparent higher, the difference was statistically significant (P<0.05), antiviral therapy 20 cases, no antiviral treatment in 42 cases.Antiviral therapy HBV reactivation rate and incidence of liver dysfunction were 5.0%, 20.0%;no antiretroviral therapy in HBV reactivation rate and the incidence of liver dysfunction 31.0%, 52.4% respectively;HBV antiviral therapy re-activation rate and the occurrence of liver dysfunction were significantly lower than not antiviral therapy, and the data were statistically significant (P<0.05).ConclusionThe clinical having close links between liver damage and breast cancer combined hepatitis B virus infection with hepatitis B virus are more likely to occur after infection liver dysfunction chemotherapy, and breast cancer patients after chemotherapy.