Long-term psychological consequences of parental bereavement prior to midlife: volunteering helps.

ObjectivesLosing a child prior to midlife may be a uniquely traumatic event that continues to compromise parents' well-being in later life. This study compared psychological well-being between bereaved and non-bereaved parents, and examined whether volunteering protects bereaved parents. Because most families have more than one child, we further explored whether the number of living children parents had differentiated bereaved parents in their well-being.MethodsWe analyzed a pooled sample of parents aged 50+ (N = 12,023) from the Health and Retirement Study (2010/2012-2012/2014), including parents who lost a child prior to 50 and those who never lost a child. Two-level linear regression models were estimated to test the associations between child loss, volunteering, and psychological well-being, and examine the moderating effect of number of living children.ResultsBereaved parents reported more depressive symptoms and lower life satisfaction than their non-bereaved counterparts, which was more evident among parents with fewer children alive. Among bereaved parents, volunteering, particularly volunteering 100+ hours/year, was associated with better psychological well-being at baseline; yet, volunteering 1-99 hours/year led to a larger increase in life satisfaction over time. The benefits of volunteering held true regardless of the number of living children.ConclusionThis study adds to our understanding of the lasting effect of parental bereavement and suggests volunteering as a potential intervention aimed at helping bereaved older parents. Findings identify parents with fewer children as a particularly vulnerable population in the face of child loss and calls for more resources allocated to help them

Analysis of Genetic Diversity and Construction of a Core Collection of <i>Ginkgo biloba</i> Germplasm Using EST-SSR Markers

Understanding genetic diversity and population structure is essential for the conservation and utilization of germplasm. Ginkgo biloba L. is a medicinal, edible and ornamental tree species. Detailed knowledge of genetic variability and diversity in different Ginkgo germplasm resources is still scarce. In this study, a total of 173,160 Expressed Sequence Tag Simple Sequences Repeat (EST-SSR) loci were derived from 43,073 Unigenes of the Ginkgo genome. A total of 43,731 pairs of specific primers were designed for the EST-SSR loci, with sequence lengths >20 bp, and 100 of the SSR primers were randomly selected. Among these, 20 EST-SSR markers were verified and used to assess the genetic diversity of 101 Ginkgo individuals collected from different regions. The average values for Shannon’s diversity index (I, 0.993), expected heterozygosity (0.566) and Nei’s genetic diversity index (H, 0.563) indicate a high level of genetic diversity of Ginkgo populations. Based on the EST-SSR markers, a core collection of Ginkgo germplasm comprising 27 genetic resources was constructed. The retention rates of the number of resources, the number of alleles, the number of effective alleles, the I index, the H index and the percentage of polymorphic loci of the constructed core collection are 26.73%, 95.29%, 103.43%, 102.25%, 102.91% and 100.00%, respectively. The molecular markers developed in this study are an effective tool for Ginkgo genetic diversity analysis and will facilitate the future breeding of this species

Genetic Testing and Pregnancy Outcome Analysis of 362 Fetuses with Congenital Heart Disease Identified by Prenatal Ultrasound

Abstract Background: Congenital heart defects (CHD), as the most common congenital anomaly, have been reported to be associated with chromosomal abnormalities. Currently, patients with CHD are routinely offered karyotyping and chromosomal microarray (CMA) testing, but the genotype-phenotype relationship has not yet been fully established. Objective: To determine the type and frequency of chromosomal abnormalities in fetuses with CHD and to analyze pregnancy outcomes of fetuses with heart abnormalities caused by different genetic factors. Methods: A total of 362 cases of CHD were enrolled from 2009 to 2016. Detailed ultrasound and laboratory examinations, including karyotyping and CMA, were performed. Outcome was obtained from discharge summaries. Results: Of the 362 fetuses, 220 were found with an isolated CHD, and 142 had CHD with extracardiac anomaly. Among these 362 fetuses, 140 were identified with a genetic cause, including 111 cases with aneuploidy, 10 cases with abnormality of chromosomal structure by karyotyping and 19 cases with pathogenic or likely pathogenic copy-number variations (CNVs) by CMA. The detection rate is close to 38.7%. Only one (identified as trisomy 18 syndrome) in 140 positive cases resulted in perinatal death, with the others being induced. The remaining 222 cases had negative results for both genetic testing and of these cases, 56 resulted in induced labor, and 77 had natural childbirth or caesarean births. The pregnancy outcome of the remaining 89 cases was uncertain. Conclusions: Karyotyping and CMA are effective and accurate prenatal genetic techniques for identifying fetal chromosomal abnormalities associated with cardiac defects, and this can assist clinical doctors to perform appropriate genetic counselling with regard to the etiology and outcome of CHD

Identification and functional analysis of N6‐methyladenine (m6A)‐related lncRNA across 33 cancer types

Abstract Background N6‐methyladenosine (m6A) plays an essential role in tumorigenesis and cancer progression. Long noncoding RNAs (lncRNAs) are discovered to be important targets of m6A modification, and they play fundamental roles in diverse biological processes. However, there is still a lack of knowledge with regards to the association between m6A and lncRNAs in human tumors. Methods The relationship between lncRNAs and 21 m6A regulators was comprehensively explored, through the integration of multi‐omics data from M6A2Target, m6A‐Atlas, and TCGA (The Cancer Genome Atlas). In order to explore the potential roles of m6A‐related lncRNAs in human tumors, three applicable methods were introduced, which include the construction of ceRNA networks, drug sensitivity estimation, and survival analysis. Results A substantial number of positive correlation events across 33 cancer types were found. Moreover, cancer‐specific lncRNAs were associated with tissue specificity, and cancer‐common lncRNAs were conserved in cancer‐related biological function. In particular, the m6A‐related lncRNA FGD5‐AS1 was found to be associated with cancer treatment, through its influence on cisplatin resistance in breast cancer patients. Finally, a user‐friendly interface Lnc2m6A, which is enriched with various browsing sections resource for the exhibition of relationships and putative biogenesis between lncRNAs and m6A modifications, is offered in http://hainmu‐biobigdata.com/Lnc2m6A. Conclusions In summary, the results from this paper will provide a valuable resource that guides both mechanistic and therapeutic roles of m6A‐related lncRNAs in human tumors

Development of an m6A-Related lncRNAs Signature Predicts Tumor Stemness and Prognosis for Low-Grade Glioma Patients

Background. Growing evidence has revealed that m6A modification of long noncoding RNAs (lncRNAs) dynamically controls tumor stemness and tumorigenesis-related processes. However, the prognostic significance of m6A-related lncRNAs and their associations with stemness in low-grade glioma (LGG) remain to be clarified. Methods. A multicenter transcriptome analysis of lncRNA expression in 1,247 LGG samples was performed in this study. The stemness landscape of LGG tumors was presented and associations with clinical features were revealed. The m6A-related lncRNAs were identified between stemness groups and were further prioritized via least absolute shrinkage and selection operator Cox regression analysis. A risk score model based on m6A-related lncRNAs was constructed and validated in external LGG datasets. Results. Based on the expression of LINC02984, PFKP-DT, and CRNDE, a risk model and nomogram were constructed; they successfully predicted the survival of patients and were extended to external datasets. Significant correlations were observed between the risk score and tumor stemness. Moreover, patients in different risk groups exhibited distinct tumor immune microenvironments and immune signatures. We finally provided several potential compounds suitable for specific risk groups, which may aid in LGG treatment. Conclusions. This novel signature presents noteworthy value in the prediction of prognosis and stemness status for LGG patients and will foster future research on the development of clinical regimens