Microglial PCGF1 alleviates neuroinflammation associated depressive behavior in adolescent mice.

Epigenetics plays a crucial role in regulating gene expression during adolescent brain maturation. In adolescents with depression, microglia-mediated chronic neuroinflammation may contribute to the activation of cellular signaling cascades and cause central synapse loss. However, the exact mechanisms underlying the epigenetic regulation of neuroinflammation leading to adolescent depression remain unclear. In this study, we found that the expression of polycomb group 1 (PCGF1), an important epigenetic regulator, was decreased both in the plasma of adolescent major depressive disorder (MDD) patients and in the microglia of adolescent mice in a mouse model of depression. We demonstrated that PCGF1 alleviates neuroinflammation mediated by microglia in vivo and in vitro, reducing neuronal damage and improving depression-like behavior in adolescent mice. Mechanistically, PCGF1 inhibits the transcription of MMP10 by upregulating RING1B/H2AK119ub and EZH2/H3K27me3 in the MMP10 promoter region, specifically inhibiting microglia-mediated neuroinflammation. These results provide valuable insights into the pathogenesis of adolescent depression, highlighting potential links between histone modifications, neuroinflammation and nerve damage. Potential mechanisms of microglial PCGF1 regulates depression-like behavior in adolescent mice. Microglial PCGF1 inhibits NF-κB/MAPK pathway activation through regulation of RING1B/H2AK119ub and EZH2/H3K27me3 in the MMP10 promoter region, which attenuates neuroinflammation and ameliorates depression-like behaviors in adolescent mice.

Surface hardness determination of laser cladding using laser-induced breakdown spectroscopy and machine learning (PLSR, CNN, ResNet, and DRSN).

In this study, we employed laser-induced breakdown spectroscopy (LIBS) along with machine learning algorithms, which encompass partial least squares regression (PLSR), the deep convolutional neural network (CNN), the deep residual neural network (ResNet), and the deep residual shrinkage neural network (DRSN), to estimate the surface hardness of laser cladding layers. (The layers were produced using Fe316L, FeCrNiCu, Ni25, FeCrNiB, and Fe313 powders, with 45 steel and Q235 serving as substrates.) The research findings indicate that both linear and nonlinear models can effectively fit the relationship between LIBS spectra and surface hardness. Particularly, the model derived from the ResNet exhibits superior performance with an R 2 value as high as 0.9967. We hypothesize that the inclusion of numerous noises in the LIBS spectra contributes to the enhanced predictive capability for surface hardness, thereby leading to the superior performance of the ResNet compared to the DRSN.

Association of preterm birth and birth size status with neurodevelopmental and psychiatric disorders in spontaneous births.

Preterm birth (PTB) or small birth size are risk factors for certain neurodevelopmental disorders. The magnitude of these associations in spontaneous births, and of associations for combined PTB and birth size status on neurodevelopmental and psychiatric disorders is unexplored. We investigated whether PTB and small/large for gestational age (SGA/LGA), separately or combined, in spontaneous births, are associated with a wide spectrum of neurodevelopmental and psychiatric disorders. In this population-based registry cohort study, all singleton spontaneous births in Finland from 1996 to 2014 were followed until 2018 (n = 819 764). We show that PTB across gestational ages, and SGA, were associated with higher risks for anxiety disorders, intellectual disabilities, specific developmental disorders (SDD), autism spectrum disorders (ASD), attention-deficit/hyperactivity disorders (ADHD) and other emotional and behavioural disorders (F98). Most of these associations were not attributed to familial factors. Larger effect sizes were observed with lower gestational ages. Extremely PTB was associated at highest risks with intellectual disabilities (HR, 10.70 [95%CI, 8.69-13.17]) and SDD (HR, 8.91 [95%CI, 8.18-9.71]). Moreover, very preterm birth combined with SGA was associated with a higher risk for SDD (HR, 7.55 [95%CI, 6.61-8.62]) than that of very preterm or SGA birth alone. Conversely, LGA birth lowered the risk for SDD and other emotional and behavioural disorders among individuals born very preterm. In conclusion, PTB along with SGA is associated with higher risks for SDD than one exposure alone, whereas LGA lowers the risks for SDD and other emotional and behavioural disorders in individuals born spontaneously.

Association between childhood trauma and depressive symptoms in adolescents during the post COVID-19 pandemic: the mediating role of social peer rejection.

This study aimed to investigate the associations of childhood trauma and its facets with depressive symptoms in depressed adolescents during the post COVID-19 epidemic, and explore the potential mediating role of social peer rejection in these associations. A total of 413 adolescents with depressive disorders completed the Chinese version of the Child Trauma Questionnaire Short Form, the Social Peer Rejection, and the Children's Depression Inventory. Childhood trauma (ß = 0.42, p < 0.01) and social peer rejection (ß = 0.18, p < 0.01) were positively related to depressive symptoms, after adjustment for demographic factors. Furthermore, social peer rejection partly mediated the relationship between childhood trauma and depressive symptoms, and the mediation effect ratio was 17.0% (p < 0.001). This study found that childhood trauma and social peer rejection are both risk factors for depressive symptoms, and social peer rejection played a mediating role in the relationship between childhood trauma and depressive symptoms.

Immediate histologic correlation in patients with different HPV genotypes and ages: a single center analysis in China.

BACKGROUND: Human papillomavirus (HPV) has been confirmed as a major causative factor for malignant transformation of cervical epithelial cells and for the development of cervical intraepithelial neoplasia (CIN) and invasive cervical cancer. We carried out this study to investigate the association of different HPV genotypes and ages with immediate histological cervical lesions in opportunistic screening patients in a single center. METHODS: A total of 1,661 samples with biopsy-confirmed histologic findings were collected from the gynecological clinic of our hospital between October 2017 and May 2020 for analysis. The distribution of single-type HPV genotypes in CIN of different severities and the age-dependent prevalence for single-type HPV infection were analyzed. RESULTS: In both CIN2 and CIN3 group, HPV16, 58, 52, 33 and 31/18 were detected as top 5 high-risk human papillomavirus (hrHPV) types, which accounts for 89.25% and 88.54% of single HPV infection incidence respectively. Besides, not a single case of HPV45 was found in CIN2 and CIN3. HPV16 was the dominant genotype in both CIN2 and CIN3, accounted for 46.24% and 55.21%, respectively. The prevalence of HPV16 was the most frequent in all the age groups, except ≥ 65 years group in CIN3, and almost one in three HPV16-positive patients were diagnosed with high grade CIN. The peak of the incidence of CIN3 was observed at 25 ~ 34 years (33.68%), followed by 35 ~ 44 years (31.58%). CONCLUSION: High grade CIN peak at 25 ~ 44 years, women of this age are recommended for normative screening if conditions permit. HPV16-positive patients should be given high priority in opportunistic screening, while the single-center data suggesting a low risk of CIN2/3 in HPV45-positive patients. For women ≥ 65 years old, patients infected with other HPV types should be also taken seriously. In general, HPV16, 58, 52, 33, 31 and 18 were the most common genotypes in CIN2/3, and a vaccine including these predominant genotypes might be of great significance for cervical cancer prevention in China.

Reliability and validity of the Chinese version of the Copenhagen Multi-Centre Psychosocial Infertility-Fertility Problem Stress Scales.

AIMS: The aim of this study is to introduce the Copenhagen Multi-Centre Psychosocial Infertility (COMPI)-Fertility Problem Stress Scales (COMPI-FPSS) into China and test its applicability in Chinese infertile population. BACKGROUND: Infertility-related stress not only influences patients' psychological well-being but is also strongly associated with reduced pregnancy rates and poorer assisted conception outcomes, thus warranting focussed attention. DESIGN: The design used in this study is a cross-sectional survey. METHODS: A total of 418 participants were recruited by convenience sampling from March to July 2022. The data were randomly divided into two parts: one for item analysis and exploratory factor analysis and the other for confirmatory factor analysis and reliability test. The critical ratio and homogeneity test were used to verify the differentiation and homogeneity of the COMPI-FPSS; the construct validity was determined by explanatory and confirmatory factor analyses; Cronbach's α coefficient and Spearman-Brown coefficient were used to assess the reliability; and criterion validity was expressed using correlation coefficients for the Perceived Stress Scale and the Negative Affect Scale as the validity criteria. RESULTS: The revised Chinese version of COMPI-FPSS has 11 items and 2 dimensions (i.e., personal stress domain and social stress domain). Exploratory factor analysis showed that the cumulative variance contribution rate of the two factors was 68.6%, and confirmatory factor analysis indicated that the model fitted well. The score of the COMPI-FPSS was significantly and positively associated with perceived stress and negative affect. The Cronbach's α coefficient of the total scale was 0.905, and the Spearman-Brown coefficient was 0.836, explaining excellent reliability. CONCLUSION: The revised Chinese version of COMPI-FPSS shows good reliability and validity, and it can be used to evaluate the infertility-related stress of infertile patients in China.

Real-time batch inspection system for surface defects on circular optical filters.

Optical filters, one of the essential parts of many optical instruments, are used to select a specific radiation band of optical devices. There are specifications for the surface quality of the optical filter in order to ensure the instrument's regular operation. The traditional machine learning techniques for examining the optical filter surface quality mentioned in the current studies primarily rely on the manual extraction of feature data, which restricts their ability to detect optical filter surfaces with multiple defects. In order to solve the problems of low detection efficiency and poor detection accuracy caused by defects too minor and too numerous types of defects, this paper proposes a real-time batch optical filter surface quality inspection method based on deep learning and image processing techniques. The first part proposes an optical filter surface defect detection and identification method for seven typical defects. A deep learning model is trained for defect detection and recognition by constructing a dataset. The second part uses image processing techniques to locate the accurate position of the defect, determine whether the defect is located within the effective aperture, and analyze the critical eigenvalue data of the defect. The experimental results show that the method improves productivity and product quality and reduces the manual workload by 90%. The proposed model and method also compare the results of surface defect detection with the actual measurement data in the field, verifying that the method has good recognition accuracy while improving efficiency.

Evaluation of triage strategies for high-risk human papillomavirus-positive women in cervical cancer screening: A multicenter randomized controlled trial in different resource settings in China.

Objective: We aimed to evaluate the effectiveness of different triage strategies for high-risk human papillomavirus (hrHPV)-positive women in primary healthcare settings in China. Methods: This study was undertaken in 11 rural and 9 urban sites. Women aged 35-64 years old were enrolled. HrHPV-positive women were randomly allocated to liquid-based cytology (LBC), visual inspection with acetic acid and Lugol's iodine (VIA/VILI) (rural only) triage, or directly referred to colposcopy (direct COLP). At 24 months, hrHPV testing, LBC and VIA/VILI were conducted for combined screening. Results: In rural sites, 1,949 hrHPV-positive women were analyzed. A total of 852, 218 and 480 women were randomly assigned to direct COLP, LBC and VIA/VILI. At baseline, colposcopy referral rates of LBC or VIA/VILI triage could be reduced by 70%-80%. LBC (n=3 and n=7) or VIA/VILI (n=8 and n=26) could significantly decrease the number of colposcopies needed to detect one cervical intraepithelial neoplasia (CIN) 2 or worse and CIN3+ compared with direct COLP (n=14 and n=23). For the 24-month cumulative detection rate of CIN2+, VIA/VILI triage was 0.50-fold compared with LBC triage and 0.46-fold with the direct COLP. When stratified by age, baseline LBC triage+ performed best (P<0.001), peaking among women aged 35-44 years (Ptrend=0.002). In urban sites, 1,728 women were hrHPV genotyping test positive. A total of 408, 571 and 568 women were randomly assigned to direct COLP for HPV16/18+, direct COLP for other hrHPV subtypes+, and LBC triage for other hrHPV subtypes+. LBC (n=12 and n=31) significantly decreased the number of colposcopies needed to detect one CIN2+ and CIN3+ compared with direct COLP (n=14 and n=44). HPV16/18+ increased the 24-month cumulative detection rate of CIN2+ (17.89%, P<0.001). Conclusions: LBC triage for hrHPV-positive women in rural settings and direct COLP for HPV16/18+ women and LBC triage for other hrHPV subtype+ women in urban settings might be feasible strategies.

Automatic optical inspection platform for real-time surface defects detection on plane optical components based on semantic segmentation.

The tendency to increase the accuracy and quality of optical parts inspection can be observed all over the world. The imperfection of manufacturing techniques can cause different defects on the optical component surface, making surface defects inspection a crucial part of the manufacturing of optical components. Currently, the inspection of lenses, filters, mirrors, and other optical components is performed by human inspectors. However, human-based inspections are time-consuming, subjective, and incompatible with a highly efficient high-quality digital workflow. Moreover, they cannot meet the complex criteria of ISO 10110-7 for the quality pass and fail optical element samples. To meet the high demand for high-quality products, intelligent visual inspection systems are being used in many manufacturing processes. Automated surface imperfection detection based on machine learning has become a fascinating and promising area of research, with a great direct impact on different visual inspection applications. In this paper, an optical inspection platform combining parallel deep learning-based image-processing approaches with a high-resolution optomechanical module was developed to detect surface defects on optical plane components. The system involves the mechanical modules, the illumination and imaging modules, and the machine vision algorithm. Dark-field images were acquired using a 2448×2048-pixel line-scanning CMOS camera with 3.45 µm per-pixel resolution. Convolutional neural networks and semantic segmentation were used for a machine vision algorithm to detect and classify defects on captured images of optical bandpass filters. The experimental results on different bandpass filter samples have shown the best performance compared to traditional methods by reaching an impressive detection speed of 0.07 s per image and an overall detection pixel accuracy of 0.923.

Surface hardness determination of 3D printed parts using laser-induced breakdown spectroscopy.

Laser-induced breakdown spectroscopy was used to determine the relationship between the spectral line intensity and surface hardness of 3D printed 18Ni300 maraging steel. Research found that there is a linear relationship between the spectral intensity ratio of ion line to atomic line and the surface hardness of the samples. This linear relationship is closely related to the selected elements and spectral lines. The weak self-absorption spectrum of minor elements can obtain a better linear relationship. We study the effect of the number of laser pulses on the linear relationship. The results show that the ideal results can be obtained by using 100 pulses, which can minimize the damage to the sample.

The role of gender and self-esteem as moderators of the relationship between stigma and psychological distress among infertile couples.

To determine if perceived stigma is positively associated with psychological distress, and examine if self-esteem has a moderating effect on the relationship between stigma and psychological distress among infertile Chinese couples. 369 infertile couples completed questionnaires including socio-demographic and clinical characteristics, stigma, self-esteem, and psychological distress. Stigma had a significant, positive association with psychological distress (r = 0.461, P < 0.01). Self-esteem moderated the association between stigma and psychological distress differently for men compared to women. Stigma had a positive, moderate association with psychological distress in men with high self-esteem compared to men with low self-esteem (t = 3.232, P < 0.01). However, there was no significant difference in the relationship between stigma and psychological distress between women with high and low self-esteem, tests of the simple slopes showed that non-significant difference of slopes between the two groups (t = -0.017, P = 0.987). The results indicate that self-esteem buffers the net effect of stigma on psychological distress in men but not women. Future research should focus on interventions that use self-esteem as a way to decrease the negative association of stigma with psychological distress, especially among men who are infertile and have low self-esteem.

Relationship of prenatal maternal obesity and diabetes to offspring neurodevelopmental and psychiatric disorders: a narrative review.

Obesity and diabetes is a worldwide public health problem among women of reproductive age. This narrative review highlights recent epidemiological studies regarding associations of maternal obesity and diabetes with neurodevelopmental and psychiatric disorders in offspring, and provides an overview of plausible underlying mechanisms and challenges for future human studies. A comprehensive search strategy selected terms that corresponded to the domains of interest (maternal obesity, different types of diabetes, offspring cognitive functions and neuropsychiatric disorders). The databases searched for articles published between January 2010 and April 2019 were PubMed, Web of Science and CINAHL. Evidence from epidemiological studies strongly suggests that maternal pre-pregnancy obesity is associated with increased risks for autism spectrum disorder, attention-deficit hyperactivity disorder and cognitive dysfunction with modest effect sizes, and that maternal diabetes is associated with the risk of the former two disorders. The influence of maternal obesity on other psychiatric disorders is less well studied, but there are reports of associations with increased risks for offspring depression, anxiety, schizophrenia and eating disorders, at modest effect sizes. It remains unclear whether these associations are due to intrauterine mechanisms or explained by confounding family-based sociodemographic, lifestyle and genetic factors. The plausible underlying mechanisms have been explored primarily in animal models, and are yet to be further investigated in human studies.

Association of polycystic ovary syndrome or anovulatory infertility with offspring psychiatric and mild neurodevelopmental disorders: a Finnish population-based cohort study.

STUDY QUESTION: Is maternal polycystic ovary syndrome (PCOS) associated with increased risks for a broad spectrum of psychiatric and mild neurodevelopmental disorders in offspring? SUMMARY ANSWER: Maternal PCOS and/or anovulatory infertility is independently, and jointly with maternal obesity, perinatal problems, cesarean delivery and gestational diabetes, associated with increased risks in offspring for almost all groups of psychiatric and mild neurodevelopmental disorders with onset in childhood or adolescence. WHAT IS KNOWN ALREADY: Maternal PCOS was previously associated with autism spectrum disorder, attention-deficit/hyperactivity disorders and possibly developmental delay in offspring. Few studies have investigated the association between maternal PCOS and other psychiatric and neurodevelopmental disorders in offspring. STUDY DESIGN, SIZE, DURATION: This was a population-based cohort study in Finland including all live births between 1996 and 2014 (n = 1 105 997). After excluding births to mothers with symptoms similar to PCOS, a total of 1 097 753 births by 590 939 mothers remained. Children were followed up until 31 December 2018, i.e. up to the age of 22 years. PARTICIPANTS/MATERIALS, SETTING, METHODS: National registries were used to link data of the included births and their mothers. Data from 24 682 (2.2%) children born to mothers with PCOS were compared with 1 073 071 (97.8%) children born to mothers without PCOS. Cox proportional hazards modeling was used to evaluate the hazard ratio (HR) and 95% CI for the risk of neuropsychiatric disorders in relation to maternal PCOS. Stratified analyses were performed to test the independent role of PCOS and the joint effects of PCOS with maternal obesity, perinatal problems, cesarean delivery, gestational diabetes and use of fertility treatment. The analysis was adjusted for maternal age, country of birth, marriage status at birth, smoking, parity, psychiatric disorders, prescription of psychotropic N05/N06 during pregnancy and systemic inflammatory diseases when applicable. MAIN RESULTS AND THE ROLE OF CHANCE: A total of 105 409 (9.8%) children were diagnosed with a neurodevelopmental or psychiatric disorder. Firstly, maternal PCOS was associated with any psychiatric diagnosis (HR 1.32; 95% CI 1.27-1.38) in offspring. Particularly, the risk was increased for sleeping disorders (HR 1.46; 95% CI 1.27-1.67), attention-deficit/hyperactivity disorders and conduct disorders (HR 1.42; 95% CI 1.33-1.52), tic disorders (HR 1.42; 95% CI 1.21-1.68), intellectual disabilities (HR 1.41; 95% CI 1.24-1.60), autism spectrum disorder (HR 1.40; 95% CI 1.26-1.57), specific developmental disorders (HR 1.37; 95% CI 1.30-1.43), eating disorders (HR 1.36; 95% CI 1.15-1.61), anxiety disorders (HR 1.33; 95% CI 1.26-1.41), mood disorders (HR 1.27; 95% CI 1.18-1.35) and other behavioral and emotional disorders (ICD-10 F98, HR 1.49; 95% CI 1.39-1.59). In short, there was no significant difference between sexes. The results were robust when restricting the analyses to the first-born children or births to mothers without psychiatric diagnosis or purchase of psychotropic medication. Secondly, stratified analysis according to maternal BMI showed that the risk of any neuropsychiatric disorder was increased in offspring to normal-weight mothers with PCOS (HR 1.20; 95% CI 1.09-1.32), and markedly higher in those to severely obese mothers with PCOS (HR 2.11; 95% CI 1.76-2.53) compared to offspring to normal-weight mothers without PCOS. When excluding perinatal problems, mothers with PCOS were still associated with increased risks of any neuropsychiatric disorders in offspring (HR 1.28; 95% CI 1.22-1.34) compared to mothers without PCOS. However, an additional increase was observed for PCOS in combination with perinatal problems (HR 1.99; 95% CI 1.84-2.16). Likewise, excluding cases with maternal gestational diabetes (HR 1.30; 95% CI 1.25-1.36), cesarean delivery (HR 1.29; 95% CI 1.23-1.35) or fertility treatment (HR 1.31; 95% CI 1.25-1.36) did not eliminate the associations. LIMITATIONS, REASONS FOR CAUTION: The register-based prevalence of PCOS was lower than previously reported, suggesting that this study may capture the most severe cases. To combine anovulatory infertility with PCOS diagnosis as PCOS exposure might introduce diagnostic bias. It was not feasible to distinguish between subtypes of PCOS. Furthermore, familial factors might confound the association between maternal PCOS and neuropsychiatric disorders in offspring. Maternal BMI was available for birth cohort 2004-2014 only and there was no information on gestational weight gain. WIDER IMPLICATIONS OF THE FINDINGS: This study provides further evidence that maternal PCOS and/or anovulatory infertility, independently and jointly with maternal obesity, perinatal problems, gestational diabetes and cesarean delivery, implies a broad range of adverse effects on offspring neurodevelopment. These findings may potentially help in counseling and managing pregnancies. STUDY FUNDING/COMPETING INTEREST(S): This study was supported by the joint research funding of Shandong University and Karolinska Institute (SDU-KI-2019-08 to X.C and C.L.), THL Finnish Institute for Health and Welfare: Drug and pregnancy project [M.G.], the Swedish Research Council [2014-10171 to C.L.], the regional agreement on medical training and clinical research (ALF) between Stockholm County Council and Karolinska Institute Stockholm County Council [SLL20170292 to C.L.], the Swedish Brain Foundation [FO2018-0141 and FO2019-0201 to C.L.]. X.C. was supported by the China Scholarship Council during her training in Karolinska Institute. L.K. was supported by the China Scholarship Council for his PhD study in Karolinska Institute. The authors have no competing interests to disclose. TRIAL REGISTRATION NUMBER: N/A.

Correction to: Analysis of the role of the human papillomavirus 16/18 E7 protein assay in screening for cervical intraepithelial neoplasia: a case control study.

An amendment to this paper has been published and can be accessed via the original article.

Analysis of the role of the human papillomavirus 16/18 E7 protein assay in screening for cervical intraepithelial neoplasia: a case control study.

BACKGROUND: Cervical cancer is the second-most common gynecological cancer, early screening plays a key role in the diagnosis and treatment of cervical intraepithelial neoplasia (CIN). Sustained E7 protein expression is the pathological basis for CIN and cervical cancer. METHODS: We collected the cervical cell samples of women who visited the gynecological clinic of Peking Union Medical College Hospital between September 2018 and September 2019 and submitted them to the high-risk human papillomavirus (Hr-HPV) test. We performed a magnetic particle-based chemiluminescence enzyme immunoassay to analyze the HPV16/18 E7 protein level in CIN of different severities and compared the results with those of cervical pathology (gold standard) and the HPV test. RESULTS: The positive rate of HPV16/18 E7 protein increased with the severity of CIN: 26.6% in normal tissue, 58.3% in CIN1, and 70.6% in CIN2 or higher (CIN2+). For CIN2+, the sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of the E7 protein were 70.6, 67.9, 52.2, and 82.3%, respectively. These values of the HPV test were 86.8, 44.5, 43.7, and 87.1%, respectively. With the combination of the E7 protein assay and HPV test, the specificity for diagnosing CIN2+ was 78.1%, which was significantly higher than that of the HPV test alone. CONCLUSIONS: HPV16/18 E7 protein level is correlated with the severity of CIN and has a high concordance rate with the pathological result. For cervical cancer screening, the combination of HPV16/18 E7 protein assay and HPV test improves the CIN diagnostic specificity, detection rate, and detection accuracy.

Contrast-Enhancing Snapshot Narrow-Band Imaging Method for Real-Time Computer-Aided Cervical Cancer Screening.

Composition of cervical precancerous lesions and carcinoma in situ is rich in hemoglobin, unlike healthy tissues. In this study, we aimed to utilize this difference to enhance the contrast between healthy and diseased tissues via snapshot narrow-band imaging (SNBI). Four narrow-band images centered at wavelengths of characteristic absorption/reflection peaks of hemoglobin were captured with zero-time delay in between by a custom-designed SNBI video camera. Then these spectral images were fused in real time into a single combined image to enhance the contrast between normal and abnormal tissues. Finally, a Euclidean distance algorithm was employed to classify the tissue into clinical meaningful tissue types. Two pre-clinical experiments were conducted to validate the proposed method. Experimental results indicate that contrast between different grades of diseased tissues in the SNBI generated image was indeed enhanced, as compared to conventional white light image (WLI). The computer-aided classification accuracy was 100% and 50% as compared to the gold standard histopathological diagnosis results with the SNBI and the conventional WLI methods, respectively. Further, the boundary contour between health tissue, cervical precancerous regions, and carcinoma in situ can be automatically delineated in SNBI. The proposed SNBI method was also fast, and it generated automatic diagnostic results with clear boundary contours at over 11 fps on a Pentium 1.6-GHz laptop. Hence, the proposed SNBI is of great significance to enlarge worldwide the coverage of regular cervical screening program, and to live guide surgeries such as biopsy sample collection and accurate cervical cancer treatment.

REBACIN® as a noninvasive clinical intervention for high-risk human papillomavirus persistent infection.

The development of highly sensitive HPV-genotyping tests has opened the possibility of treating HPV-infected women before high-grade lesions appear. The lack of efficient intervention for persistent high-risk HPV infection necessitates the need for development of novel therapeutic strategy. Here we demonstrate that REBACIN®, a proprietary antiviral biologics, has shown potent efficacy in the clearance of persistent HPV infections. Two independent parallel clinical studies were investigated, which a total of 199 patients were enrolled and randomly divided into a REBACIN®-test group and a control group without treatment. The viral clearance rates for the REBACIN® groups were 61.5% (24/39) and 62.5% (35/56), respectively, for the two independent parallel studies. In contrast, the nontreatment groups showed self-clearance rates at 20.0% (8/40) and 12.5% (8/64). We further found that REBACIN® was able to significantly repress the expression of HPV E6 and E7 oncogenes in TC-1 and Hela cells. The two viral genes are well known for the development of high-grade premalignancy lesion and cervical cancer. In a mouse model, REBACIN® was indicated to notably suppress E6/E7-induced tumor growth, suggesting E6 and E7 oncogenes as a potential target of REBACIN®. Taken together, our studies shed light into the development of a novel noninvasive therapeutic intervention for clearance of persistent HPV infection with significant efficacy.

Positive affect mediates the relationships between resilience, social support and posttraumatic growth of women with infertility.

This study aims to explore the relationship between resilience, social support, positive affect and posttraumatic growth among Chinese women with infertility, and to examine the mediating role of positive affect. A convenience sample of 1733 women diagnosed with infertility was recruited from the infertility outpatient clinics at three reproductive hospitals in Shandong Province of China between May 2015 and April 2016. They completed a background questionnaire, the Posttraumatic Growth Inventory, the Perceived Social Support Questionnaire, the Connor-Davidson Resilience Scale, the Positive and Negative Affect Schedule. Individuals reported high levels of PTG (M = 64.81; SD = 16.20). Perceived social support (ß = .11, p < .001), resilience (ß = .18, p < .001) and positive affect (ß = .46, p < .001) were related to PTG. Positive affect may play a mediating role in the relationships between resilience (.125, .201, p < .001), social support (.055, .121, p < .001) and PTG. This study examines the effects of resilience, social support, and positive affect on PTG among Chinese infertile women. Wherein, positive affect may play a mediating role in the relationships between resilience, social support and PTG.

Electrostatic Capture Following Laser Microdissection for the Preparation of Homogeneous Biological Specimens.

There is an unmet need for researchers in life sciences and clinical pathology to obtain untainted target cells with very high accuracy, which are suitable for subsequent genome and protein analysis. In this paper, an electrostatic capture laser microdissection technology (ECM) is proposed and explained. Following microscopic identification and separation of target cells from the surrounding tissues using laser cutting, the ECM uses electrostatic forces to capture target cells. Validation experiments indicate that ECM can capture a wide assortment of contamination-free homogeneous samples, ranging from very tiny pieces of a few micrometers in diameter to large pieces with a surface area of over 40,000 µm2. Evidence is also provided indicating that uncontaminated homogeneous tissue materials collected by ECM are suitable for further DNA and RNA analysis. This suggests that ECM capture causes little or no identifiable damage to the collected tissues. This technique has significant advantages compared with existing traditional capture methods, such as very low risk of biological sample damage and the fact that it can be applied to both upright and inverted microscopy. The latter allows for separating target cells in tissue culture. ECM usage provides a cost-effective alternative to more traditional laser capture microdissection techniques.

PKCß promotes vascular inflammation and acceleration of atherosclerosis in diabetic ApoE null mice.

OBJECTIVE: Subjects with diabetes mellitus are at high risk for developing atherosclerosis through a variety of mechanisms. Because the metabolism of glucose results in production of activators of protein kinase C (PKC)ß, it was logical to investigate the role of PKCß in modulation of atherosclerosis in diabetes mellitus. APPROACH AND RESULTS: ApoE(-/-) and PKCß(-/-)/ApoE(-/-) mice were rendered diabetic with streptozotocin. Quantification of atherosclerosis, gene expression profiling, or analysis of signaling molecules was performed on aortic sinus or aortas from diabetic mice. Diabetes mellitus-accelerated atherosclerosis increased the level of phosphorylated extracellular signal-regulated kinase 1/2 and Jun-N-terminus kinase mitogen-activated protein kinases and augmented vascular expression of inflammatory mediators, as well as increased monocyte/macrophage infiltration and CD11c(+) cells accumulation in diabetic ApoE(-/-) mice, processes that were diminished in diabetic PKCß(-/-)/ApoE(-/-) mice. In addition, pharmacological inhibition of PKCß reduced atherosclerotic lesion size in diabetic ApoE(-/-) mice. In vitro, the inhibitors of PKCß and extracellular signal-regulated kinase 1/2, as well as small interfering RNA to Egr-1, significantly decreased high-glucose-induced expression of CD11c (integrin, alpha X 9 complement component 3 receptor 4 subunit]), chemokine (C-C motif) ligand 2, and interleukin-1ß in U937 macrophages. CONCLUSIONS: These data link enhanced activation of PKCß to accelerated diabetic atherosclerosis via a mechanism that includes modulation of gene transcription and signal transduction in the vascular wall, processes that contribute to acceleration of vascular inflammation and atherosclerosis in diabetes mellitus. Our results uncover a novel role for PKCß in modulating CD11c expression and inflammatory response of macrophages in the development of diabetic atherosclerosis. These findings support PKCß activation as a potential therapeutic target for prevention and treatment of diabetic atherosclerosis.