Manifestation of neurological symptoms in certain patients of coronavirus disease-2019 (COVID-19) has warranted for their virus-induced etiogenesis. SARS-CoV-2, the causative agent of COVID-19, belongs to the genus of betacoronaviruses which also includes SARS-CoV-1 and MERS-CoV; causative agents for severe acute respiratory syndrome (SARS) in 2002 and Middle East respiratory syndrome (MERS) in 2012, respectively. Studies demonstrating the neural invasion of SARS-CoV-2 in vivo are still scarce, although such characteristics of certain other betacoronaviruses are well demonstrated in the literature. Based on the recent evidence for the presence of SARS-CoV-2 host cell entry receptors in specific components of the human nervous and vascular tissue, a neural (olfactory and/or vagal), and a hematogenous-crossing the blood-brain barrier, routes have been proposed. The neurological symptoms in COVID-19 may also arise as a consequence of the "cytokine storm" (characteristically present in severe disease) induced neuroinflammation, or co-morbidities. There is also a possibility that, there may be multiple routes of SARS-CoV-2 entry into the brain, or multiple mechanisms can be involved in the pathogenesis of the neurological symptoms. In this review article, we have discussed the possible routes of SARS-CoV-2 brain entry based on the emerging evidence for this virus, and that available for other betacoronaviruses in literature. To examine trajectories of depression and apathy over a 5-year follow-up period in (prodromal) Alzheimer's disease (AD), and to relate these trajectories to AD biomarkers. The trajectories of depression and apathy (measured with the Neuropsychiatric Inventory or its questionnaire) were separately modeled using growth mixture models for two cohorts (National Alzheimer's Coordinating Center, NACC, n = 22 760 and Alzheimer's Disease Neuroimaging Initiative, ADNI, n = 1 733). The trajectories in ADNI were associated with baseline CSF AD biomarkers (Aβ t-tau, and p-tau) using bias-corrected multinomial logistic regression. Multiple classes were identified, with the largest classes having no symptoms over time. Ginsenoside Rg1 Lower Aβ and higher tau (ie, more AD pathology) was associated with increased probability of depression and apathy over time, compared to classes without symptoms. Lower Aβ (but not tau) was associated with a steep increase of apathy, whereas higher tau (but not Aβ ) was associated with a steep decrease of apathy. The trajectories of depression and apathy in individuals on the AD spectrum are associated with AD biomarkers.The trajectories of depression and apathy in individuals on the AD spectrum are associated with AD biomarkers. To evaluate the diagnostic test accuracy of the Nursing Delirium Screening Scale through a systematic review and meta-analysis. A systematic review with meta-analysis. Articles were searched systematically in the MEDLINE, EMBASE, PsycINFO, and CINAHL databases up to April 2019. Data extraction and quality assessment were conducted using the Quality Assessment of the Diagnostic Accuracy Studies-2 tool. Pooled sensitivities, specificities, likelihood ratio, and diagnostic odds ratio for the tool were estimated and its hierarchical summary receiver-operating characteristic curve was derived through a bivariate model meta-analysis. Eleven studies with a total of 2,245 patients were included in this review. The pooled estimates of sensitivity and specificity of the Nursing Delirium Screening Scale were 68.6% (95% confidence interval; 55.3%, 79.5%) and 89.4% (83.3%, 93.5%), respectively. The pooled estimate of the area under the hierarchical summary receiver-operating characteristic curve was 0.88. Use of the Nursing Delirium Screening Scale provides moderate to high sensitivity and high specificity. This review supports the Nursing Delirium Screening Scale as a validate tool of screening for delirium. With the best evidence of the accuracy of the Nursing Delirium Screening Scale, we recommend nursing leaders to use this easy-to-use and validated tool for daily screening of delirium in any hospital setting, which possibly contribute to an early detection of delirium and, ultimately, assist to obtain an accurate estimation of prevalence of delirium.With the best evidence of the accuracy of the Nursing Delirium Screening Scale, we recommend nursing leaders to use this easy-to-use and validated tool for daily screening of delirium in any hospital setting, which possibly contribute to an early detection of delirium and, ultimately, assist to obtain an accurate estimation of prevalence of delirium.Tissue homeostasis is maintained through constant, dynamic and heterogeneous communication between cells and their microenvironment. Proteins that are at the same time active at the intracellular, cell periphery and deeper extracellular levels possess the ability to, on the individual molecular level, influence the cells and their microenvironment in a bidirectional manner. The transmembrane collagens are a family of such proteins, which are of notable interest for tissue development and homeostasis. In skin, expression of all transmembrane collagens has been reported and deficiency of transmembrane collagen XVII manifests with distinct skin phenotypes. Nevertheless, transmembrane collagens in skin remain understudied despite the association of them with epidermal wound healing and dermal fibrotic processes. Here, we present an overview of transmembrane collagens and put a spotlight on them as regulators of epidermal-dermal communication and as potential players in fibrinogenesis.The objective of the study was to characterize expression patterns of hypoxia-inducible factor-1alpha (HIF1A), inducible nitric oxide synthase (iNOS) and endothelial (eNOS) isoforms in time-defined follicle classes before and after GnRH application in the cow. Ovaries containing pre-ovulatory follicles or corpora lutea were collected by transvaginal ovariectomy (n = 5 cows/group) as follow (I) before GnRH administration; (II) 4h after GnRH; (III) 10h after GnRH; (IV) 20h after GnRH; (V) 25h after GnRH; and (VI) 60h after GnRH (early corpus luteum). The mRNA abundance of HIF1A in the follicle group before GnRH was high, followed by a significant down regulation afterwards with a minimum level 25h after GnRH (close to ovulation) and significant increase only after ovulation. The mRNA abundance of iNOS before GnRH was high, decreased significantly during LH surge, with minimum levels afterwards. In contrast, the mRNA of eNOS decreased in the follicle group 20h after GnRH, followed by a rapid and significant upregulation just after ovulation.