Lambertchang5868

Interestingly, the environmental context seems particularly crucial regarding the role of the D2-like receptors in behavioural regulation of social encounters among group members, indicating a potential pathway in agonistic and cooperative interactions in a pay-to-stay scenario. We discuss the importance of environmental information in mediating the role of dopamine for the modulation of social behaviour.Silent myocardial infarction (MI) is critical for clinical practice with increasing risk for women and the cause remains a medical mystery. Upon the discovery of female-specific Ah-type baroreceptor neurons (BRNs), we hypothesize that glutamate mediates depressor response through afferent-specific expression of particular glutamate receptors (mGluRs) leading descending inhibition of cardiac nociception. In vivo, tail-flick reflex and electromyography were assessed to evaluate glutamate-mediated blood pressure regulation, peripheral and cardiac nociception. The results showed that glutamate decreased mean arterial pressure (MAP) and increased peripheral nociception. Interestingly, glutamate-mediated capsaicin-induced cardiac nociception was strongly reduced in female rats compared with males. Furthermore, Nodose (NG) microinjection of mGluR7 agonist significantly increased MAP in males and slightly decreased that in females. Even though mGluR8 direct activation intensified baroreceptor activation, the sensitivity was similar between sexes. In vitro, the expression profiles of mGluRs were investigated using Western blot and identified BRNs using single-cell qRT-PCR under ischemic conditions. Glutamate in serum, NG and nucleus tractus solitary (NTS) was raised significantly in the model rats of both sexes vs. sham-controls. Female-specific expression of mGluR7 in the baroreflex afferent pathway, especially higher expression in Ah-type BRNs, contributes significantly to cardiac analgesia, which may explain that the pathogenesis of silent MI occurs mainly in female patients. Therefore, higher expression of mGluR7 in female-specific subpopulation of Ah-type BRNs plays a critical role in cardiac analgesia and peripheral nociception.The endocannabinoid system is involved in the fine-tuning of local synaptic plasticity in the hippocampus during the initial steps of memory formation/transformation. In spite of extensive studies, endocannabinoid modulation of these processes is still poorly understood. Here we studied the effects of intra-CA1 infused AM404, an anandamide (AEA) transport/metabolism inhibitor, upon an aversive memory consolidation with or without prior systemic administration of metyrapone, as well the concomitant intra-CA1 administration of AM404 plus AM251 (CB1 receptor inverse-agonist), capsazepine (TRPV1 receptor antagonist) or tropicamide (M4 receptor antagonist). We also investigated the effect of AM404 on memory retrieval and Long-Term Potentiation induction. Adult male Wistar rats were trained in the Contextual Fear Conditioning task and tested 48 h later. AM404 disrupted both memory consolidation and retrieval, and abolished LTP induction. The post-training effect, however, was reverted by metyrapone - which was amnestic by itself - corroborating the known co-dependency between glucocorticoids and endocannabinoids, and suggesting that some level of aversiveness is necessary for an adequate consolidation. In the coadministration experiments, while AM251 and tropicamide were able to revert the AM404 amnestic effect, capsazepine had no effect. This confirms that CB1 actually mediate the amnestic effect caused by the augmented AEA pool, but TRPV1 does not. The tropicamide result suggests an interesting comodulatory interaction between the endocannabinoid and the cholinergic systems. We propose a steady-state model centered in the idea of an optimal, stable extracellular concentration of anandamide as a necessary condition to ensure the consolidation of a stable memory trace in the CA1 area.Circular RNAs (circRNAs), forming a covalently closed loop, are identified as a special subgroup of non-coding RNAs. Herein, we investigated the function and underlying mechanism of circXRCC5, generated from the XRCC5 gene, in glioma progression. Bioinformatics analysis was employed to determine the genomic information of circXRCC5 derived from XRCC5 pre-mRNA. Quantitative real-time PCR was conducted to examine the expression of circXRCC5 in glioma tissues and cells. Stable knockdown of circXRCC5 in U87 and U251 cells was established to assess its' biological functions. Cell Counting Kit-8, EdU incorporation, flow cytometry and transwell assay were performed to evaluate cell proliferation, apoptosis, migration and invasion, respectively. The circRNA-miRNA-mRNA regulatory network was verified using luciferase reporter assay and RNA immunoprecipitation. The samples were subjected to CHIP to ascertain the transcriptional regulation of XRCC5 at the promoter region of CLC3. Up-regulation of circXRCC5 was observed in glioma tissues and cell lines, and indicated poor prognosis of glioma patients. Knockdown of circXRCC5 suppressed cell proliferation, migration and invasion, while facilitated apoptosis. Mechanistically, circXRCC5 acted as a molecular sponge for miR-490-3p in a sequence-specific manner. There was a reciprocal negative feedback between circXRCC5 and miR-490-3p in an Argonaute2-dependent manner. Moreover, circXRCC5 acted as a sponge of miR-490-3p to regulate the expression of downstream target gene XRCC5, thus activating the transcription of CLC3, which fostered the progression of glioma. Collectively, circXRCC5 promoted glioma progression via the miR-490-3p/XRCC5/CLC3 ceRNA network, providing a novel prognostic biomarker and a prospective target for glioma treatment.

Traditional histopathologic evaluation of peripheral nerve using brightfield microscopy is resource-intensive, necessitating complex sample preparation. Label-free imaging techniques paired with artificial intelligence-based image reconstruction and segmentation may facilitate peripheral nerve histomorphometry.

Herein, the utility of label-free phase contrast techniques paired with artificial intelligence-based image processing for imaging of mammalian peripheral nerve is demonstrated.

Fresh frozen murine sciatic nerve sections were imaged in transmission modalities using differential interference and phase contrast microscopy and in epifluorescent modality following staining with myelin-specific dye. Deep learning was employed to predict epifluorescent images from transmitted phase contrast images, and machine learning employed for automated segmentation of myelinated axons for reporting of axons counts and g-ratios.

Conventional peripheral nerve histomorphometry employs resource intensive resin embedding, ultra-microtome sectioning, and staining steps. Herein we demonstrate feasibility of high-throughput nerve histomorphometry via label-free phase contrast imaging of frozen sections.

Clinical applications of label-free phase contrast microscopy paired with deep learning algorithms are discussed.

Clinical applications of label-free phase contrast microscopy paired with deep learning algorithms are discussed.N6-methyladenosine (m6A) is the most abundant eukaryotic modification internal mRNA, which plays the crucial roles in the occurrence and development of cancer. However, current knowledge about m6A-mediated functional circuit and key genes targeted by m6A methylation in cancer is mostly elusive. Thus, here we proposed a novel network-based approach (called m6Acancer-Net) to identify m6A-mediated driver genes and their associated network in specific type of cancer, such as acute myeloid leukemia. m6A-mediated cancer driver genes are defined as genes mediated by m6A methylation, significantly mutated, and functionally interacted in cancer. m6Acancer-Net identified the m6A-mediated cancer driver genes by combining gene functional interaction network with RNA methylation, gene expression and mutation information. A cancer-specific gene-site heterogeneous network was firstly constructed by connecting the m6A site co-methylation network with the functional interaction pruned gene co-expression network generated fromto participate in development of GBM. m6Acancer-Net is reliable to identify the functionally significant m6A-mediated driver genes in specific cancer, and it can effectively facilitate the understanding of regulatory and therapeutic mechanism of cancer driver genes in epitranscriptome layer.As a common cause of hydronephrosis in children, ureteropelvic junction obstruction (UPJO) may lead to a series of progressive renal dysfunction. Ultrasonography is a primary screening of UPJO, yet its further examinations are laborious, time-consuming, and mostly radioactive. The deep learning based automatic diagnosis algorithms on UPJO or hydronephrosis ultrasound images are still rare and performance remains unsatisfactory owning to limitation of manually identified region of interest, small dataset and labels from single institution. To relieve the burden of children, parents, and doctors, and avoid wasting every bit information in all datasets, we hence designed a deep learning based mutual promotion model for the auto diagnosis of UPJO. This model consists of a semantic segmentation section and a classification section, they shared a mutual usage of a transformation structure by separately training the encoder and decoder and loop this circle. Thorough comparative experiments are conducted and situations are explored by ablation experiments, results shown our methods outperformed classic networks with an accuracy of 0.891 and an F1-score of 0.895. selleck chemical Our design can jointly utilize different supervisions and maximize the use of all the characteristics of each dataset, and automatically diagnose the severity of UPJO on the basis of ultrasound images by first segmentate then classify the images, moreover, not only is the final result excellent, but also the midway segmentation result is also very accurate and have smooth edges that are convenient for doctors to recognize with their naked eyes. All in all, our proposed method can be an important auxiliary tool for smart healthcare.A model of acute kidney injury (AKI) caused by multiple subcutaneous injections of Asian giant hornet (Vespa mandarina Smith) venom was developed in male Wistar rats. The rats were injected subcutaneously at multiple sites in the dorsal region with a total venom dose of 5 mg/kg. Blood samples were obtained 8, 24 and 48 h after venom injection for the quantification of various biochemical parameters and assessment of renal function. Wasp venom caused significant increases in all biochemical parameters (aspartate aminotransferase, creatine kinase, free hemoglobin, lactate dehydrogenase, myoglobin, and plasma creatinine) within 8 h of venom administration, as well as marked alterations in renal function (a decrease in glomerular filtration rate leading to oliguria). The biochemical parameters showed varying degrees of recovery but remained elevated to varying degrees after 48 h, whereas the glomerular filtration rate showed no recovery during this period. The histopathological alterations consisted primarily of acute tubular necrosis, with tubular epithelial cell sloughing and loss of tubule brush border.