[Association of antenatal anxiety with preterm birth and low birth weight: evidence from a birth cohort study]

Objective: To investigate the impacts of antenatal anxiety on preterm birth and low birth weight. Methods: Women in early pregnancy were recruited for follow-up, antenatal anxiety in three trimesters was screened using Self-Rating Anxiety Scale and the score ≥50 was regarded as anxiety. Logistic regression analysis was conducted to evaluate the associations of the anxiety in three trimesters, new onset anxiety in the second and third trimesters with infant birth outcomes, such as preterm birth and low birth weight. Results: The rates of anxiety in the first, second and third trimesters of pregnancy were 12.5%, 3.7%, and 7.4% respectively. We found that there was no statistical association between anxiety in the first and second trimester and preterm birth. The anxiety in the third trimester was associated with increased odds for preterm birth (OR=3.55, 95%CI: 1.62-7.82). Associations between anxiety in all three trimesters and low birth weight were not significant. New onset anxiety in the third trimester was associated with significant increased risk of premature delivery (OR=5.20, 95%CI: 1.84-14.70) and low birth weight (OR=6.93, 95%CI: 2.42-19.88). Conclusions: Our study showed that anxiety in the third trimester is an important risk factor for premature delivery, new onset anxiety symptoms in the third trimester can significantly increase the incidence of premature birth and low birth weight of infant.

[The relationship between maternal pregnancy-related anxiety and executive function in preschool children: a cohort study]

Objective: To investigate the relationship between pregnancy-related anxiety and executive function in preschool children. Methods: From October 2008 to October 2010, pregnant women and live births were enrolled in the study. The expectant pregnant women and their live singleton fetuses were recruited from the antenatal care clinic of Ma'anshan maternal and Child Health Care Hospital. The cohort was followed up from April 2014 to June 2015. A total of 3 556 pairs of maternal and child were included in the final analysis. The questionnaire was used to collect the relevant information of pregnant women and the follow-up data of children. Pregnancy-related anxiety was assessed by using the Pregnancy-Related Anxiety Questionnaire, and the executive function of preschool children was assessed by using the Behavior Rating Inventory of Executive Function-Preschool (BRIEF) (Parent Version). Bi-nominal logistic regression was used to analyze the effect of pregnancy-related anxiety on executive function in preschool children. Results: The average age of 3 556 pregnant women was (26.78±3.42) years old, and the average age of preschool children was (4.32±0.46) years old. The proportion of primipara, only child and urban children was 94.96% (3 375/3 556), 91.37% (3 249/3 556) and 88.98% (3 164/3 556), respectively. The prevalence of pregnancy-related anxiety in the 1(st) and 3(rd) trimester was 17.60% (626/3 556) and 6.30% (224/3 556) respectively. The prevalence of abnormal global executive composite was 8.54% (304/3 556). The prevalence of anxiety in both trimesters was 7.68% (273/3 556). After controlling for confounding factors such as monthly family income, education years of parents, maternal age, pre-pregnancy weight, previous adverse pregnant outcomes, number of pregnancy, pregnant complications, the main residence of the children in the past six months, and Z score of birth weight, compared with the group without pregnancy-related anxiety in either 1(st) or 3(rd) trimester, pregnancy-related anxiety in the 1(st) trimester increased the risk of preschool children's abnormality in inhibition, working memory, planning/organization and global executive composite, and the OR (95%CI) value was 1.52 (1.08-2.13), 1.41 (1.14-1.74), 1.62 (1.13-2.33), and 1.60 (1.18- 2.17), respectively. Anxiety in the 3(rd) trimester increased the risk of children's abnormality in inhibition and global executive composite, and the OR (95%CI) value was 1.90 (1.15-3.12) and 1.69(1.05-2.71). Pregnancy-related anxiety in both trimesters increased the risk of abnormality in inhibition, working memory, planning/organization, and global executive composite in preschool children, and the OR (95% CI) value was 2.41 (1.61-3.62), 2.19 (1.66-2.88), 1.80 (1.11-2.92), and 2.41 (1.65-3.52), respectively. Conclusion: The exposure to pregnancy-related anxiety during pregnancy increases the risk of executive dysfunction in preschool children.

Long noncoding RNA DARS-AS1 acts as an oncogene by targeting miR-532-3p in ovarian cancer

OBJECTIVE

Ovarian cancer is one of the most ordinary malignant tumors. Recently, the role of long noncoding RNAs (lncRNAs) in tumor progression has caught attention of numerous researchers. In this research, lncRNA DARS-AS1 was studied to identify how it functions in the development of ovarian cancer.

PATIENTS AND METHODS

DARS-AS1 expression was detected by Real-time quantitative polymerase chain reaction (RT-qPCR) in ovarian cancer tissue samples. Moreover, functional experiments were conducted to detect the effect of DARS-AS1 on the proliferation and metastasis of ovarian cancer. In addition, the underlying mechanism was explored through luciferase assay and RNA immunoprecipitation (RIP) assay.

RESULTS

In this study, DARS-AS1 expression was remarkably higher in ovarian cancer tissues compared with that in adjacent ones. Cell proliferation was inhibited after DARS-AS1 silenced in ovarian cancer cells. Moreover, cell migration and invasion were also inhibited after DARS-AS1 silenced in ovarian cancer cells. Furthermore, results of luciferase assays and RIP assay showed that microRNA-532-3p (miR-532-3p) was a direct target of DARS-AS1 in ovarian cancer. The expression of miR-532-3p was upregulated after DARS-AS1 was knocked down.

CONCLUSIONS

Our study suggests that DARS-AS1 enhances cell proliferation and metastasis via sponging miR-532-3p in ovarian cancer.

Influence of an InGaN superlattice pre-layer on the performance of semi-polar (11-22) green LEDs grown on silicon

It is well-known that it is crucial to insert either a single InGaN underlayer or an InGaN superlattice (SLS) structure (both with low InN content) as a pre-layer prior to the growth of InGaN/GaN multiple quantum wells (MQWs) served as an active region for a light-emitting diode (LED). So far, this growth scheme has achieved a great success in the growth of III-nitride LEDs on c-plane substrates, but has not yet been applied in the growth of any other orientated III-nitride LEDs. In this paper, we have applied this growth scheme in the growth of semi-polar (11–22) green LEDs, and have investigated the impact of the SLS pre-layer on the optical performance of semi-polar (11–22) green LEDs grown on patterned (113) silicon substrates. Our results demonstrate that the semi-polar LEDs with the SLS pre-layer exhibit an improvement in both internal quantum efficiency and light output, which is similar to their c-plane counterparts. However, the performance improvement is not so significant as in the c-plane case. This is because the SLS pre-layer also introduces extra misfit dislocations for the semi-polar, but not the c-plane case, which act as non-radiative recombination centres.

Long noncoding RNA DARS-AS1 acts as an oncogene by targeting miR-532-3p in ovarian cancer

Since this article has been suspected of research misconduct and the corresponding authors did not respond to our request to prove originality of data and figures, "Long noncoding RNA DARS-AS1 acts as an oncogene by targeting miR-532-3p in ovarian cancer, by K. Huang, W.-S. Fan, X.-Y. Fu, Y.-L. Li, Y.-G. Meng, published in Eur Rev Med Pharmacol Sci 2019; 23 (6): 2353-2359. DOI: 10.26355/eurrev_201903_17379. PMID: 30964159" has been withdrawn. The Publisher apologizes for any inconvenience this may cause. https://www.europeanreview.org/article/17379.

Pre-pregnancy maternal fasting plasma glucose levels in relation to time to pregnancy among the couples attempting first pregnancy

STUDY QUESTION

What is the relationship between pre-pregnancy maternal glucose levels and fecundability in Chinese couples?

SUMMARY ANSWER

Elevated pre-pregnancy maternal glucose levels were associated with fecundability, as reflected by prolonged time to pregnancy (TTP) among the couples with no prior gravidity.

STUDY DESIGN, SIZE, DURATION

Based on the National Free Pre-conception Check-up Projects supported by the Chinese government, 2 226 048 eligible couples attempting first pregnancy and participating in the project from 2015 to 2016 were included. They were followed-up for 1 year or until they reported pregnancy.

PARTICIPANTS/MATERIALS, SETTINGS, METHODS

The Kaplan–Meier method was used to estimate the cumulative pregnancy rate in each menstrual cycle, and the discrete-time analogue of the Cox models was used to estimate the fecundability odds ratios (FORs) and 95% CIs by different pre-pregnancy maternal glucose levels (impaired fasting glucose (IFG) or diabetes as compared to normal).

MAIN RESULTS AND THE ROLE OF CHANCE

The cumulative pregnancy rate for 12 cycles of the normal fasting plasma glucose (FPG) level group was 42.29%, significantly higher than that of the IFG (35.52%) and diabetes groups (31.52%). After adjusting for confounding factors, the FORs were 0.82 (95% CI: 0.81–0.83) and 0.74 (95% CI: 0.72–0.76) for the IFG and diabetes groups, respectively, as compared to the normal group. The association between pre-pregnancy maternal FPG levels and the FORs was non-linear, and the optimal FPG level for greatest fecundability (shortest TTP) was 3.90–4.89 mmol/L.

LIMITATIONS, REASONS FOR CAUTION

The findings from this register-based cohort study require cautious interpretation given that information bias would be inevitable for single FPG measurements and for TTP calculations that were based on telephone follow-up information. Additionally, because couples who achieved pregnancy during their first menstrual cycle in the study were excluded, the pregnancy rates reported were low and possibly biased.

WIDER IMPLICATIONS OF THE FINDINGS

The current report suggests that elevated pre-pregnancy maternal glucose levels were associated with prolonged TTP. Early evaluation and preventive treatment for female partners with IFG or diabetes in a pre-pregnancy examination are necessary.

STUDY FUNDING/COMPETING INTEREST(S)

Funding was provided by the National Key Research and Development Program of China (grants No. 2016YFC1000300 and 2016YFC1000307), the National Natural Science Foundation of China (grant No. 81872634), the CAMS Innovation Fund for Medical Sciences (grant No. 2018-I2M-1-004), the National Human Genetic Resources Sharing Service Platform (grant No. 2005DKA21300) and the National Population and Reproductive Health Science Data Center (grant No. 2005DKA32408), People’s Republic of China. The authors have no conflicts of interest to declare.

TRIAL REGISTRATION NUMBER

N/A

Association between polycystic ovary syndrome and the vaginal microbiome: A case-control study

BACKGROUND

Polycystic ovary syndrome (PCOS) is the most common endocrinopathy in women of reproductive age. Some evidence suggests that dysbiosis of the gut microbiota could be associated with PCOS clinical parameters, but little is known for the association between vaginal microbiome and PCOS.

OBJECTIVE

To determine differences in the vaginal microbiome between women with PCOS and healthy control women.

RESEARCH DESIGN AND METHODS

In this case-control study, the women with newly diagnosed PCOS (n = 39) and healthy controls (n = 40) were included from the hospital and maternal and child health centre, respectively. The vaginal swabs were collected, and microbiome structures were identified by 16S rRNA gene sequencing. The screening values for potential bacteria biomarker for PCOS were assessed by receiver operating characteristic (ROC) curve method.

RESULTS

There was significant difference in vaginal bacterial structures between PCOS and healthy control women. The vaginal bacterial species in the PCOS group were more diverse than the control group (Simpson index for PCOS group vs. control group: median 0.49 vs. 0.80, P = .008; Shannon index: median 1.07 vs. 0.44, P = .003; Chao1 index: median 85.12 vs. 66.13, P < .001). The relative abundance of Lactobacillus crispatus in the PCOS group was significantly lower than controls (P = .001), and the relative abundance of Mycoplasma and Prevotella was higher than controls (P < .001, P = .002, respectively). The Mycoplasma genus could be a potential biomarker for PCOS screening, as ROC analysis showed that the area under the curve (AUC) for the relative abundance of Mycoplasma was 0.958 (95% CI: 0.901-0.999). Subgroup analyses also showed these associations would not change among the women with the same BMI level and vagina cleanliness grading.

CONCLUSIONS

In the vaginal microbiome, the Mycoplasma genus was associated with PCOS. Further research is required to explore causal correlations between PCOS and the vaginal microbiome.

High-Performance Natural Rubber/Graphene Composites from a Uniquely Designed Physical and Chemical Hybrid-Network

It is well-known that strength and stiffness are commonly inversely related with toughness and ductility for organic filler filled elastomer nanocomposites. These performances are governed by the dispersion of organic fillers and interface of elastomer nanocomposites. Herein, the designed physical and chemical hybrid-network based on tannic acid (TA) as interface regulator and cross-link agent can endow graphene/elastomer nanocomposites with reinforcement as well as toughness simultaneously. The results indicate the formation of a strong and stable network structure composed of elastomer chains and graphene, contrary to traditional graphene/elastomer nanocomposites. The present composites with a physical and chemical hybrid-network effectively improve the load transfer and show excellent mechanical properties.

A factorial Bayesian copula framework for partitioning uncertainties in multivariate risk inference

In this study, a factorial Bayesian copula (FBC) method is proposed to quantify parameter uncertainties in copula-based models and then reveal their impacts on hydrologic risk inferences within a multivariate context. In detail, Bayesian inference and factorial analysis are integrated into copula-based multivariate risk models to (1) quantify parameter uncertainties, (ii) reveal their individual and interactive effects, and (iii) identify their detailed contributions to uncertain risk inferences. Streamflow observations at Xiangxi and Wei River basins is China are used to illustrate the applicability of FBC. The results indicate that imprecise parameters in marginal distributions and the dependence structure would lead to extensive uncertainties in predictive joint return periods and failure probabilities. Also, individual and interactive effects of parameters are well revealed through multilevel factorial analysis, and the detailed contributions of one parameter to different failure probabilities under different service time scenarios are identified.

Use of capillary glucose combined with other non-laboratory examinations to screen for diabetes and prediabetes

AIM

To evaluate the value and feasibility of capillary glucose assessment, combined with other non-laboratory measures, in screening for diabetes and prediabetes in the community.

METHODS

In this cross-sectional study, we assessed fasting capillary glucose, fasting plasma glucose, and both capillary glucose and plasma glucose values after 2-h oral glucose tolerance tests in a total of 3736 samples. We determined the optimal threshold of capillary glucose using receiver-operating characteristic curve analysis. The effect of screening methods using capillary glucose combined with other variables, such as age, BMI and waist circumference, was assessed according to area under the receiver-operating characteristic curve.

RESULTS

There was a strong positive correlation between capillary glucose and venous plasma glucose. The area under the curve for the model using fasting capillary glucose to screen for impaired fasting glucose was 0.722, while that for the model using capillary glucose after a 2-h oral glucose tolerance test to screen for impaired glucose tolerance was 0.916. The area under the curve for the model using fasting capillary glucose to screen for diabetes was 0.835, while that for the model using 2-h oral glucose tolerance test capillary glucose was 0.912. The area under the curve for the model using fasting capillary glucose + 2-h oral glucose tolerance test capillary glucose to screen for diabetes was 0.945. The discriminatory capability of models using capillary glucose was somewhat improved by adding non-laboratory variables.

CONCLUSIONS

Capillary glucose could be an alternative for screening for diabetes and prediabetes, especially in low-resource areas.

Characteristics of the vaginal microbiome in cross-border female sex workers in China: a case-control study

Background

Female sex workers (FSWs) are key groups in the transmission of sexual transmitted infections (STI), and vaginal microbiome variations play an important role in transmission. We aimed to explore the characteristics of vaginal microbiome among FSWs.

Materials and Methods

A total of 24 cross-border FSWs were randomly selected from a cross-sectional survey for female sex workers in southwest China. Thirty-seven female non-sex workers (FNSWs) were randomly selected from the gynecology clinic and health examination center. Vaginal swabs were collected, bacterial DNA extracted and 16S rRNA genes were sequenced. Differences in the vaginal microbiome between both groups were compared using bioinformatics analysis.

Results

One DNA sample was excluded due to unqualified concentration, therefore 60 samples were sequenced. FSWs had significantly different vaginal microbiota β diversity, but undifferentiated α diversity when compared with non-sex workers. The average relative abundance of Sneathia, Shigella, Neisseria, Chlamydia, Prevotella, Enterococcus and Ureaplasma among FSWs was higher than FNSWs, and relative abundance of Atopobium in FSWs was lower than FNSWs. The Lactobacillus genus was the major genus in both groups. At the species level, Lactobacllus crispatus, Lactobacllus gasseri and Lactobacllus jensenii, in female sex workers, were lower when compared to FNSWs.

Conclusion

There were distinct differences in vaginal bacteria variety between FSWs and FNSWs. Some disease-related genus were also more abundant in FSWs. Based on these observations, further research is required to identify microbiome communities related to high STI risks and other diseases in these cohorts.

[Determinants of pregnancy rate in the donor oocyte model: a multivariate analysis of frozen-thawed embryo transfers]

Objective: To determine independent factors of pregnancy in the recipient after frozen-thawed embryo transfer (FTET). Methods: We performed a retrospective study of 431 patients who had undergone embryo transfer after oocyte donation (OD), in vitro fertilization and embryo cryopreservation between April 2009 and December 2018 at our Reproductive Center. Comparison of general data between clinical pregnant group and non-pregnant group; Logistic regression were used to identify independent factors of pregnancy. The ability of independent factors of pregnancy was assessed by receiver operating characteristics (ROC). Results: ①Pregnancy rates were significantly higher in women with more embryos, more high-quality embryos, more transferred embryos and higher basalfollicular stimulation hormone(FSH) (P<0.05). Pregnancy rate of premature ovarian insufficiency (POI) (75.00%) was higher than advanced age (55.83%,P=0.005) and chromosome abnormality (56.86%,P=0.021). ②Using logistic regression analysis, the POI (OR=2.065, 95%CI=1.026-4.156), basal FSH(OR=1.499, 95%CI=1.072-1.959), high-quality embryos (OR=1.449, 95%CI=1.072-1.959) and transferred embryos (OR=2.583, 95%CI=1.519-4.391)were independent predictors of pregnancy (P<0.05). ③The ROC curves revealed the cut-off points of basal FSH was 19.28U/L for pregnancy, the areas under the curve of basal FSH was 0.627, 95%CI=0.572-0.680. According basal FSH and age, all patients were further divided into four groups, pregnancy rates were significantly higher in ≤40 years and FSH>19U/L group (P<0.05). We contain pregnancy rates and multiple pregnancy rates of two transferred embryos were higher than one (P<0.01). Conclusions: This study supports that pregnancy rates of POI was higher than other infertility diagnosis needed OD. Pregnancy rates of two transferred embryos were higher than one, but multiple pregnancy rates was also higher than one.

Preconception blood pressure and time to pregnancy among couples attempting to conceive their first pregnancy

BACKGROUND

The association of abnormal blood pressure levels (including hypertension and prehypertension) with reduced fecundability among young childbearing-age couples is not yet elucidated completely.

OBJECTIVE

The purpose of this study was to investigate the association between abnormal preconception blood pressure level and time to pregnancy among couples who are attempting to conceive their first pregnancy.

STUDY DESIGN

A total of 2,234,350 eligible couples (with no previous gravidity and whose female partners were 20-49 years old) participated in the National Free Preconception Check-up Projects from January 1, 2015, to December 31, 2016. Each couples' preconception blood pressure levels were measured, and time to pregnancy was recorded. Cox models for discrete survival time were used to estimate fecundability odds ratios and their corresponding 95% confidence intervals after adjustment for age, ethnicity, educational level, occupation, household registration, region, tobacco exposure, alcohol intake, body mass index, duration of marriage of the couples, and fasting plasma glucose levels of the female partner.

RESULTS

Compared with normotensive women, those women with hypertension (systolic blood pressure ≥140 mm Hg or diastolic blood pressure ≥90 mm Hg) had a 21% lower pregnancy rate (fecundability odds ratio, 0.79; 95% confidence interval, 0.78-0.81). A similar finding was found among men (fecundability odds ratio, 0.89; 95% confidence interval, 0.88-0.90). Prehypertension (systolic blood pressure between 120 and 139 mm Hg, and/or a diastolic blood pressure between 80 and 89 mm Hg) in both male and female partners was associated slightly with reduced fecundability odds ratios. Compared with couples in which both partners were normotensive, the pregnancy rate was reduced by 27% (fecundability odds ratio, 0.73; 95% confidence interval, 0.69-0.77) among couples in which both partners had hypertension.

CONCLUSION

Abnormal preconception blood pressure levels were associated with prolonged time to pregnancy among couples who were attempting to conceive their first pregnancy; the mechanism is worth further investigation.

Genotyping and pathogenic characterization of canine distemper virus based on mutations in the hemagglutinin gene in Chinese domestic dogs

Canine distemper virus (CDV) infects wild and domestic Canidae worldwide. The hemag- glutinin (H) gene has the highest genetic variation in the genome of this virus. Thus, the H gene is commonly used for lineage identification and genetic analyses. In order to study the genetic characteristics and pathogenicity of CDV strains prevalent in China, 132 samples were collected from domestic dogs with suspected CDV infection, 58 samples were confirmed to be positive, and the H gene was successfully amplified from 15 samples. The epidemic strain was identified as type Asia-1 and the novel mutations, A51T, V58I, R179K and D262N, were detected in this strain. Isolated strains, BJ16B53, BJ16B14, and BJ17B8, were used for an animal infection experiment in raccoon dogs. BJ16B53 and BJ16B14 were found to cause clinical symptoms, death, and exten- sive lesions in various organs. These results are expected to facilitate the development of effective strategies to monitor and control CDV infection in China.

Smart identification of psoriasis by images using convolutional neural networks: a case study in China

BACKGROUND

Psoriasis is a chronic inflammatory skin disease, which holds a high incidence in China. However, professional dermatologists who can diagnose psoriasis early and correctly are insufficient in China, especially in the rural areas. A smart approach to identify psoriasis by pictures would be highly adaptable countrywide and could play a useful role in early diagnosis and regular treatment of psoriasis.

OBJECTIVES

Design and evaluation of a smart psoriasis identification system based on clinical images (without relying on a dermatoscope) that works effectively similar to a dermatologist.

METHODS

A set of deep learning models using convolutional neural networks (CNNs) was explored and compared in the system for automatic identification of psoriasis. The work was carried out on a standardized dermatological dataset with 8021 clinical images of 9 common disorders including psoriasis along with full electronic medical records of patients built over the last 9 years in China. A two-stage deep neural network was designed and developed to identify psoriasis. In the first stage, a multilabel classifier was trained to learn the visual patterns for each individual skin disease. In the second stage, the output of the first stage was utilized to distinguish psoriasis from other skin diseases.

RESULTS

The area under the curve (AUC) of the two-stage model reached 0.981 ± 0.015, which outperforms a single-stage model. And, the classifier showed superior performance (missed diagnosis rate: 0.03, misdiagnosis rate: 0.04) than 25 Chinese dermatologists (missed diagnosis rate: 0.19, misdiagnosis rate: 0.10) in the diagnosis of psoriasis on 100 clinical images.

CONCLUSIONS

Using clinical images to identify psoriasis is feasible and effective based on CNNs, which also builds a solid technical base for smart care of skin diseases especially psoriasis using mobile/tablet applications for teledermatology in China.

P1499Data-driven clustering unveils the adaptive remodeling of athlete heart: an echocardiographic study from 2017 Taipei summer universiade

Background

Sport-specific adaptations of the athlete's heart are still under investigation. This study sought to provide a proof-of-concept for hierarchical clustering of echocardiography-derived parameters in unfolding the adaptations and to make a comparison between hypothesis-driven and data-driven approaches for characterizing the athlete's heart.

Methods

Anthropometric, echocardiographic and electrocardiographic assessments were collected during the peri-participation cardiovascular examination of 2017 Summer Universiade. Besides standard echocardiography and strain measurements, ventricular-arterial coupling was assessed by the ratio of effective arterial elastance (Ea) to left ventricular end-systolic elastance (Ees), using a modified single-beat algorithm to calculate Ees.

Results

A total of 598 elite athletes (348 male, mean age 23±2.5 years) engaged 24 disciplines were grouped by Mitchell's classification. The hypothesis-driven approach showed significant differences in heart rate, ventricular size, and stroke volume when classified by dynamic levels. Adaptations of ventricular function were not found. Contrarily, the data-driven approach not only hierarchically clustered athletes with more manifest morphologic remodeling, more proportions playing high dynamic sports but also showed a functional propensity of lower Ea and Ees, supranormal diastolic function and preserved ventricular-arterial coupling with ample pumping reserve.

Phenotype heatmaps of athletes

Conclusions

The hierarchical clustering can analyze numerous echocardiography-derived phenotypes pertaining to an individual athlete as well as discern an adaptive propensity of the athlete's heart to be the resting status of a reservoir-rich pump. This pilot demonstration of the data-driven approach in figuring out integrated physiologic adaptations with remodeling-relevant geometry and function leads to a fundamentally improved understanding of the athlete's heart and then will be applicable to various domains.