Previous studies have highlighted interactions between serotonergic systems and adverse early life experience as important gene x environment determinants of risk of stress-related psychiatric disorders. Evidence suggests that mice deficient in Tph2, the rate-limiting enzyme for brain serotonin synthesis, display disruptions in behavioral phenotypes relevant to stress-related psychiatric disorders. The aim of this study was to determine how maternal separation in wild-type, heterozygous, and Tph2 knockout mice affects mRNA expression of serotonin-related genes. Serotonergic genes studied included Tph2, the high-affinity, low-capacity, sodium-dependent serotonin transporter (Slc6a4), the serotonin type 1a receptor (Htr1a), and the corticosterone-sensitive, low-affinity, high-capacity sodium-independent serotonin transporter, organic cation transporter 3 (Slc22a3). Furthermore, we studied corticotropin-releasing hormone receptors 1 (Crhr1) and 2 (Crhr2), which play important roles in controlling serotonergic neuronal activity. For this study, offspring of Tph2 heterozygous dams were exposed to daily maternal separation for the first two weeks of life. Adult, male wild-type, heterozygous, and homozygous offspring were subsequently used for molecular analysis. Maternal separation differentially altered serotonergic gene expression in a genotype- and topographically-specific manner. For example, maternal separation increased Slc6a4 mRNA expression in the dorsal part of the dorsal raphe nucleus in Tph2 heterozygous mice, but not in wild-type or knockout mice. Overall, these data are consistent with the hypothesis that gene x environment interactions, including serotonergic genes and adverse early life experience, play an important role in vulnerability to stress-related psychiatric disorders.
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http://dx.doi.org/10.1016/j.bbr.2019.112086 | DOI Listing |
Am J Perinatol
January 2025
MFM, Albany Medical Center, Albany, United States.
Preterm prelabor rupture of membranes (PPROM) diagnosis is made through visualization of amniotic fluid (pooling), nitrizine testing, sonographic low amniotic fluid, and microscopic detection of amniotic fluid arborization (ferning). Data exits on the specificity and sensitivity of ferning detection but has not focused on the second trimester. Our objective is to evaluate the presence of ferning in transvaginally collected amniotic fluid in pregnancies with known second trimester PPROM to determine if there is a difference in ferning based on gestational age and sample drying time.
View Article and Find Full Text PDFOccup Environ Med
January 2025
Lifestyles and Living Environments Unit, Finnish Institute for Health and Welfare, Oulu, Finland.
Objective: To assess the role of occupational noise exposure on pregnancy complications in urban Nordic populations.
Methods: A study population covering five metropolitan areas in Denmark, Finland, Norway and Sweden was generated using national birth registries linked with occupational and residential environmental exposures and sociodemographic variables. The data covered all pregnancies during 5-11 year periods in 2004‒2016, resulting in 373 184 pregnancies.
Unlabelled: The rat offers a uniquely valuable animal model in neuroscience, but we currently lack an individual-level understanding of the in vivo rat brain network. Here, leveraging longitudinal measures of cortical magnetization transfer ratio (MTR) from in vivo neuroimaging between postnatal days 20 (weanling) and 290 (mid-adulthood), we design and implement a computational pipeline that captures the network of structural similarity (MIND, morphometric inverse divergence) between each of 53 distinct cortical areas. We first characterized the normative development of the network in a cohort of rats undergoing typical development (N=47), and then contrasted these findings with a cohort exposed to early life stress (ELS, N=40).
View Article and Find Full Text PDFComput Struct Biotechnol J
December 2024
Department of Assisted Reproduction, Shanghai First Maternity and Infant Hospital, Tongji University School of Medicine, Shanghai, China.
Manual semen evaluation methods are subjective and time-consuming. In this study, a deep learning algorithmic framework was designed to enable non-invasive multidimensional morphological analysis of live sperm in motion, improve current clinical sperm morphology testing methods, and significantly contribute to the advancement of assisted reproductive technologies. We improved the FairMOT tracking algorithm by incorporating the distance and angle of the same sperm head movement in adjacent frames, as well as the head target detection frame IOU value, into the cost function of the Hungarian matching algorithm.
View Article and Find Full Text PDFObjective: To examine the association between mood disorders in pregnancy and postpartum and peripartum cardiomyopathy (PPCM).
Methods: Retrospective cohort study utilizing the National Inpatient Sample from the Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality of pregnant and postpartum patients from 2017-2019. Patients were separated into two groups based on ICD-10 coding for presence or absence of mood disorder (depression, bipolar depression, anxiety, or other mood diagnosis).
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