Association between paternal age and subtypes of preterm birth: a retrospective study.

RESEARCH QUESTION: Is advanced paternal age (APA) associated with preterm birth overall and with the subtypes of preterm birth? DESIGN: A total of 66,167 pregnancies were included. Linear regression and logistic regression models were used to analyse the association between paternal age and subtypes of preterm birth. RESULTS: APA was associated with a higher risk of preterm birth (35-44 years: odds ratio [OR] 1.16 [1.04-1.28], P = 0.006; >44 years: OR 1.40 [1.10-1.78], P = 0.007) and very early preterm birth (VPTB; <34 weeks) (35-44 years: OR 1.46 [1.17-1.81], P = 0.002; >44 years: OR 1.65 [1.01-2.69], P = 0.045). The increased risk of preterm birth was mostly associated with preterm birth with premature rupture of membranes (PROM-PTB) (35-44 years: OR 1.23 [1.03-1.48], P = 0.021) and medically induced preterm birth (MI-PTB) (>44 years: OR 1.55 [1.12-2.15], P = 0.008). For women who carried a male fetus, having the father in the 35- to 44-year-old group carried a 1.29-fold risk of PROM-PTB (OR 1.29 [1.02-1.63], P = 0.031) and a 1.26-fold risk of MI-PTB (OR 1.26 [1.04-1.52], P = 0.017). There was no evidence of a higher risk of PROM-PTB among women carrying a female fetus, but there was a 1.67-fold higher risk of MI-PTB for the 45-or-older paternal age group (OR 1.67 [1.04-2.67], P = 0.035). CONCLUSIONS: These results suggest that APA is associated with a higher risk of preterm birth and VPTB, mainly related to PROM-PTB and MI-PTB. The study also indicates a fetal sex-specific association between APA and a higher risk of PROM-PTB for male fetuses.

Aging attenuates the ovarian circadian rhythm.

OBJECTIVE: To study the effect of aging on ovarian circadian rhythm. DESIGN: Human and animal study. SETTING: University hospital and research laboratory. PATIENTS/ANIMALS: Human granulosa cells were obtained by follicular aspiration from women undergoing in vitro fertilization (IVF), and ovarian and liver tissues were obtained from female C57BL/6 mice. INTERVENTION(S): None. MAIN OUTCOME MEASURE(S): Expression of circadian genes in young and older human granulosa cells and circadian rhythm in ovaries and livers of young and older mice. RESULT(S): All examined circadian clock genes in human granulosa cells showed a downward trend in expression with aging, and their mRNA expression levels were negatively correlated with age (P < 0.05). Older patients (≥ 40 years of age) had significantly reduced serum anti-Müllerian hormone (AMH) levels. Except for Rev-erbα, all other examined circadian clock genes were positively correlated with the level of AMH (P < 0.05). The circadian rhythm in the ovaries of older mice (8 months) was changed significantly relative to that in ovaries of young mice (12 weeks), although the circadian rhythm in the livers of older mice was basically consistent with that of young mice. CONCLUSION(S): Lower ovarian reserve in older women is partially due to ovarian circadian dysrhythmia as a result of aging.

The casein kinase 2α promotes the occurrence polycystic ovary syndrome.

Polycystic ovary syndrome (PCOS) is a complicated reproductive endocrine disease characterized by hyperandrogenism, polycystic ovaries, and anovulation. Previous studies have revealed that androgen receptors (ARs) are strongly associated with hyperandrogenism and abnormalities in folliculogenesis in patients with PCOS. However, the kinases responsible for androgen receptor activity, especially in granulosa cells, and the role of casein kinase 2α (CK2α) specifically in the pathogenesis of PCOS, remain unknown. Here, we show that both CK2α protein and mRNA levels were higher in luteinized granulosa cells of patients with PCOS compared with non-PCOS, as well as in the ovarian tissues of mice with a dehydroepiandrosterone-induced PCOS-like phenotype, compared with controls. In addition, CK2α not only interacted with AR in vivo and in vitro, but it also phosphorylated and stabilized AR, triggering AR and ovulation related genes excessive expression. CK2α also promoted cell proliferation in the KGN cell line and inhibited apoptosis. Collectively, the finding highlighted that the CK2α-AR axis probably caused the etiology of the PCOS. Thus, CK2α might be a promising clinical therapeutic target for PCOS treatment.

The non-coding RNA composition of the mitotic chromosome by 5'-tag sequencing.

Mitotic chromosomes are one of the most commonly recognized sub-cellular structures in eukaryotic cells. Yet basic information necessary to understand their structure and assembly, such as their composition, is still lacking. Recent proteomic studies have begun to fill this void, identifying hundreds of RNA-binding proteins bound to mitotic chromosomes. However, by contrast, there are only two RNA species (U3 snRNA and rRNA) that are known to be associated with the mitotic chromosome, suggesting that there are many mitotic chromosome-associated RNAs (mCARs) not yet identified. Here, using a targeted protocol based on 5'-tag sequencing to profile the mammalian mCAR population, we report the identification of 1279 mCARs, the majority of which are ncRNAs, including lncRNAs that exhibit greater conservation across 60 vertebrate species than the entire population of lncRNAs. There is also a significant enrichment of snoRNAs and specific SINE RNAs. Finally, ∼40% of the mCARs are presently unannotated, many of which are as abundant as the annotated mCARs, suggesting that there are also many novel ncRNAs in the mCARs. Overall, the mCARs identified here, together with the previous proteomic and genomic data, constitute the first comprehensive catalogue of the molecular composition of the eukaryotic mitotic chromosomes.

Machine learning and bioinformatics framework integration reveal potential characteristic genes related to immune cell infiltration in preeclampsia.

Introduction: Preeclampsia is a disease that affects both the mother and child, with serious consequences. Screening the characteristic genes of preeclampsia and studying the placental immune microenvironment are expected to explore specific methods for the treatment of preeclampsia and gain an in-depth understanding of the pathological mechanism of preeclampsia. Methods: We screened for differential genes in preeclampsia by using limma package. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, disease ontology enrichment, and gene set enrichment analyses were performed. Analysis and identification of preeclampsia biomarkers were performed by using the least absolute shrinkage and selection operator regression model, support vector machine recursive feature elimination, and random forest algorithm. The CIBERSORT algorithm was used to analyze immune cell infiltration. The characteristic genes were verified by RT-qPCR. Results: We identified 73 differential genes, which mainly involved in reproductive structure and system development, hormone transport, etc. KEGG analysis revealed emphasis on cytokine-cytokine receptor interactions and interleukin-17 signaling pathways. Differentially expressed genes were dominantly concentrated in endocrine system diseases and reproductive system diseases. Our findings suggest that LEP, SASH1, RAB6C, and FLT1 can be used as placental markers for preeclampsia and they are associated with various immune cells. Conclusion: The differentially expressed genes in preeclampsia are related to inflammatory response and other pathways. Characteristic genes, LEP, SASH1, RAB6C, and FLT1 can be used as diagnostic and therapeutic targets for preeclampsia, and they are associated with immune cell infiltration. Our findings contribute to the pathophysiological mechanism exploration of preeclampsia. In the future, the sample size needs to be expanded for data analysis and validation, and the immune cells need to be further validated.

Advanced paternal age increased metabolic risks in mice offspring.

OBJECTIVES: The Developmental Origins of Health and Disease Science indicate that chronic diseases in adulthood are associated with prenatal and early-life traits. Our study aimed to explore the metabolic phenotype of offspring from advanced paternal age (APA) and the inherited alterations in sperm. METHODS: 3-month-old (Young father, YF-F0) and 21-month-old male (Old Father, OF-F0) C57BL/6J mice were used to study paternal aging's effect on offspring. Blood glucose testing, lipid analysis, indirect calorimetry and RNA sequencing were performed. RESULTS: The characterized metabolic changes in OF-F1 male mice offspring were glucose intolerance, hepatic lipid accumulation, increased adipocytes and impaired energy balance that lasted until they were elderly. Gene expression in both 8-week-old and 52-week-old offspring livers significantly altered in lipid metabolism- and thermogenesis-related pathways. PPAR signaling pathway was activated in both young and elderly offspring livers as indicated by significant upregulation of Cyp7a1, Cyp8b1, Cyp4a10, Cyp4a31, Fabp2, and Scd1. These targeted genes were also confirmed to be increased in offspring adipocytes. Furthermore, when examined the differentially expressed genes in F0 and F1 sperm, upregulated pathways including cholesterol metabolism, type II diabetes mellitus and endocrine resistance were strongly related to the APA offspring phenotype. Importantly, approximately 46.7% of enriched pathways in the sperm of APA offspring were consistent with those of APA fathers. CONCLUSIONS: These findings added evidence of the connection between paternal gametes and alterations in progeny genome and raised the possibility that inherited alterations in sperm contribute to the intergenerational effects of paternal aging offspring's chronic metabolic risks.

Early-life undernutrition induces enhancer RNA remodeling in mice liver.

BACKGROUND: Maternal protein restriction diet (PRD) increases the risk of metabolic dysfunction in adulthood, the mechanisms during the early life of offspring are still poorly understood. Apart from genetic factors, epigenetic mechanisms are crucial to offer phenotypic plasticity in response to environmental situations and transmission. Enhancer-associated noncoding RNAs (eRNAs) transcription serves as a robust indicator of enhancer activation, and have potential roles in mediating enhancer functions and gene transcription. RESULTS: Using global run-on sequencing (GRO-seq) of nascent RNA including eRNA and total RNA sequencing data, we show that early-life undernutrition causes remodeling of enhancer activity in mouse liver. Differentially expressed nascent active genes were enriched in metabolic pathways. Besides, our work detected a large number of high confidence enhancers based on eRNA transcription at the ages of 4 weeks and 7 weeks, respectively. Importantly, except for ~ 1000 remodeling enhancers, the early-life undernutrition induced instability of enhancer activity which decreased in 4 weeks and increased in adulthood. eRNA transcription mainly contributes to the regulation of some important metabolic enzymes, suggesting a link between metabolic dysfunction and enhancer transcriptional control. We discovered a novel eRNA that is positively correlated to the expression of circadian gene Cry1 with increased binding of epigenetic cofactor p300. CONCLUSIONS: Our study reveals novel insights into mechanisms of metabolic dysfunction. Enhancer activity in early life acts on metabolism-associated genes, leading to the increased susceptibility of metabolic disorders.

Association Between Paternal Age and Birth Weight in Preterm and Full-Term Birth: A Retrospective Study.

Purpose: While it is well documented that maternal adverse exposures contribute to a series defects on offspring health according to the Developmental Origins of Health and Disease (DOHaD) theory, paternal evidence is still insufficient. Advanced paternal age is associated with multiple metabolism and psychiatric disorders. Birth weight is the most direct marker to evaluate fetal growth. Therefore, we designed this study to explore the association between paternal age and birth weight among infants born at term and preterm (<37 weeks gestation). Methods: A large retrospective study was conducted using population-based hospital data from January 2015 to December 2019 that included 69,964 cases of singleton infant births with complete paternal age data. The primary outcome was infant birth weight stratified by sex and gestational age including small for gestational age (SGA, 10th percentile) and large for gestational age (LGA, 90th percentile). Birth weight percentiles by gestational age were based on those published in the INTERGROWTH-21st neonatal weight-for gestational-age standard. Logistic regression analysis and linear regression model were used to estimate the association between paternal age and infant birth weight. Results: Advanced paternal age was associated with a higher risk for a preterm birth [35-44 years: adjusted odds ratio (OR) = 1.13, 95%CI (1.03 to 1.24); >44 years: OR = 1.36, 95%CI (1.09 to 1.70)]. Paternal age exerted an opposite effect on birth weight with an increased risk of SGA among preterm infants (35-44years: OR = 1.85, 95%CI (1.18 to 2.89) and a decreased risk among term infant (35-44years: OR = 0.81, 95%CI (0.68 to 0.98); >44 years: OR = 0.50, 95%CI (0.26 to 0.94). U-shaped associations were found in that LGA risk among term infants was higher in both younger (<25 years) (OR = 1.32; 95%CI, 1.07 to 1.62) and older (35-44 years) (OR = 1.07; 95% CI, 1.01 to 1.14) fathers in comparison to those who were 25 to 34 years old at the time of delivery. Conclusions: Our study found advanced paternal age increased the risk of SGA among preterm infants and for LGA among term infants. These findings likely reflect a pathophysiology etiology and have important preconception care implications and suggest the need for antenatal monitoring.

Novel PGK1 determines SKP2-dependent AR stability and reprograms granular cell glucose metabolism facilitating ovulation dysfunction.

BACKGROUND: Disordered folliculogenesis is a core characteristic of polycystic ovary syndrome (PCOS) and androgen receptors (ARs) are closely associated with hyperandrogenism and abnormalities in folliculogenesis in PCOS. However, whether the new AR binding partner phosphoglycerate kinase 1 (PGK1) in granulosa cells (GCs) plays a key role in the pathogenesis of PCOS remains unclear. METHODS: We identified the new AR binding partner PGK1 by co-IP (co-immunoprecipitation) in luteinized GCs, and reconfirmed by co-IP, co-localization and GST pull down assay, and checked PGK1 expression levels with qRT-PCR and western blotting. Pharmaceuticals rescue assays in mice, and metabolism assay, AR protein stability and RNA-seq of PGK1 targets in cells proved the function in PCOS. FINDINGS: PGK1 and AR are highly expressed in PCOS luteinized GCs and PCOS-like mouse ovarian tissues. PGK1 regulated glucose metabolism and deteriorated PCOS-like mouse metabolic disorder, and paclitaxel rescued the phenotype of PCOS-like mice and reduced ovarian PGK1 and AR protein levels. PGK1 inhibited AR ubiquitination levels and increased AR stability in an E3 ligase SKP2-dependent manner. Additionally, PGK1 promoted AR nuclear translocation, and RNA-seq data showed that critical ovulation-related genes were regulated by the PGK1-AR axis. INTERPRETATION: PGK1 regulated GCs metabolism and interacted with AR to regulate the expression of key ovulation genes, and also mediated cell proliferation and apoptosis, which resulted in the etiology of PCOS. This work highlights the pathogenic mechanism and represents a novel therapeutic target for PCOS. FUNDING: National Key Research and Development Program of China; National Natural Science Foundation of China grant.

Adaptive gain control for spike-based map communication in a neuromorphic vision system.

To support large numbers of model neurons, neuromorphic vision systems are increasingly adopting a distributed architecture, where different arrays of neurons are located on different chips or processors. Spike-based protocols are used to communicate activity between processors. The spike activity in the arrays depends on the input statistics as well as internal parameters such as time constants and gains. In this paper, we investigate strategies for automatically adapting these parameters to maintain a constant firing rate in response to changes in the input statistics. We find that under the constraint of maintaining a fixed firing rate, a strategy based upon updating the gain alone performs as well as an optimal strategy where both the gain and the time constant are allowed to vary. We discuss how to choose the time constant and propose an adaptive gain control mechanism whose operation is robust to changes in the input statistics. Our experimental results on a mobile robotic platform validate the analysis and efficacy of the proposed strategy.

Prevalence of Prediabetes Risk in Offspring Born to Mothers with Hyperandrogenism.

BACKGROUND: Excessive androgen exposure during pregnancy has been suggested to induce diabetic phenotypes in offspring in animal models. The aim of this study was to investigate whether pregestational maternal hyperandrogenism in human influenced the glucose metabolism in offspring via epigenetic memory from mother's oocyte to child's somatic cells. METHODS: Of 1782 reproductive-aged women detected pregestational serum androgen, 1406 were pregnant between 2005 and 2010. Of 1198 women who delivered, 1116 eligible mothers (147 with hyperandrogenism and 969 normal) were recruited. 1216 children (156 children born to mothers with hyperandrogenism and 1060 born to normal mother) were followed up their glycometabolism in mean age of 5years. Imprinting genes of oocyte from mothers and lymphocytes from children were examined. A pregestational hyperandrogenism rat model was also established. FINDINGS: Children born to women with hyperandrogenism showed increased serum fasting glucose and insulin levels, and were more prone to prediabetes (adjusted RR: 3.98 (95%CI 1.16-13.58)). Oocytes from women with hyperandrogenism showed increased insulin-like growth factor 2 (IGF2) expression. Lymphocytes from their children also showed increased IGF2 expression and decreased IGF2 methylation. Treatment of human oocytes with dihydrotestosterone upregulated IGF2 and downregulated DNMT3a levels. In rat, pregestational hyperandrogenism induced diabetic phenotypes and impaired insulin secretion in offspring. In consistent with the findings in human, hyperandrogenism also increased Igf2 expression and decreased DNMT3a in rat oocytes. Importantly, the same altered methylation signatures of Igf2 were identified in the offspring pancreatic islets. INTERPRETATION: Pregestational hyperandrogenism may predispose offspring to glucose metabolism disorder via epigenetic oocyte inheritance. Clinical trial registry no.: ChiCTR-OCC-14004537; www.chictr.org.

Comment on "Universality in the evolution of orientation columns in the visual cortex".

Kaschube et al. (Reports, 19 November 2010, p. 1113) argue that pinwheel density in three mammalian species follows a universal constant of π as predicted by their orientation-selective suppressive long-range connectivity model. We dispute their conclusions and suggest that a simple brain size-pinwheel density scaling law suffices in predicting the self-organized and disorganized orientation maps from primates to rodents.

Iono-neuromorphic implementation of spike-timing-dependent synaptic plasticity.

Spike-timing-dependent plasticity (STDP) is the ability of a synapse to increase or decrease its efficacy in response to specific temporal pairing of pre- and post-synaptic activities. It is widely believed that such activity-dependent long-term changes in synaptic connection strength underlie the brain's capacity of learning and memory. However, current phenomenological models of STDP fail to reproduce classical forms of synaptic plasticity that are based on stimulus frequency (BCM rule) instead of timing (STDP rule). In this paper, we implemented a novel biophysical synaptic plasticity model by using analog VLSI (aVLSI) circuits biased in the subthreshold regime. We show that the aVLSI synapse model successfully emulates both the STDP and BCM forms of synaptic plasticity as predicted by the biophysical model.