Houmannholck3650

These existing options are premised on the assumption that there is a singular "public" motivated by homogenous "interests", which fails to reflect the plurality and cross-border reality of the public(s) interest(s) underpinning the welfare goals of IPR. We conclude that a systemic re-evaluation is required and call for positive and equitable legal measures protective of the public(s) interest(s) to be built within IPR frameworks that also address non-IPR barriers. The current pandemic and development of a "new normal" provides a crucial opportunity to comprehensively consider the public(s) interest(s), not just during a global health crisis, but on an ongoing basis.Introduction The effect of dexamethasone in the initial phase of infection by SARS-CoV-2 and its influence on COVID-19 is not well defined. We describe clinical-radiological characteristics, the cytokine storm parameters, and the clinical evolution of a series of patients treated with dexamethasone in the disease's initial phase.Method A study of 8 patients who received dexamethasone before the development of COVID-19. We evaluate clinical variables, imaging tests, cytokine release parameters, treatment used and patient evolution.Results All patients received a 6 mg/day dose with a mean duration of 4.5 days before admission. High resolution computed tomography (HRCT) revealed that most of them presented a severe extension; most patients had a slightly elevated level of cytokine release parameters. Three patients required high-flow oxygen therapy due to respiratory failure; none required orotracheal intubation or died.Conclusion Dexamethasone in the early stages of SARS-CoV-2 infection appears to be associated with severe COVID-19.Inverse Ising inference is a method for inferring the coupling parameters of a Potts/Ising model based on observed site-covariation, which has found important applications in protein physics for detecting interactions between residues in protein families. We introduce Mi3-GPU ("mee-three", for MCMC Inverse Ising Inference) software for solving the inverse Ising problem for protein-sequence datasets with few analytic approximations, by parallel Markov-Chain Monte-Carlo sampling on GPUs. We also provide tools for analysis and preparation of protein-family Multiple Sequence Alignments (MSAs) to account for finite-sampling issues, which are a major source of error or bias in inverse Ising inference. Our method is "generative" in the sense that the inferred model can be used to generate synthetic MSAs whose mutational statistics (marginals) can be verified to match the dataset MSA statistics up to the limits imposed by the effects of finite sampling. Our GPU implementation enables the construction of models which reproduce the covariation patterns of the observed MSA with a precision that is not possible with more approximate methods. The main components of our method are a GPU-optimized algorithm to greatly accelerate MCMC sampling, combined with a multi-step Quasi-Newton parameter-update scheme using a "Zwanzig reweighting" technique. We demonstrate the ability of this software to produce generative models on typical protein family datasets for sequence lengths L ~ 300 with 21 residue types with tens of millions of inferred parameters in short running times.The SARS-CoV-2 papain-like protease (PLpro) is a suitable target for drug development, and its deubiquitinating and deISGylating activities have also been reported. In this study, molecular docking was used to investigate the binding properties of a selection of dietary compounds and naphthalene-based inhibitors to the previously characterised binding site of GRL-0617. The structures of the SARS-CoV-2 and SARS-CoV PLpro in complex with interferon-stimulated gene 15 (ISG15) and lysine 48 (K48)-linked diubiquitin were utilised. To predict whether compounds could potentially interfere with the binding of these cellular modifiers, docking was conducted in the absence and presence of ISG15 and K48-linked diubiquitin.Humans around the globe have been severely affected by SARS-CoV-2 and no treatment has yet been authorized for the treatment of this severe condition brought by COVID-19. Here, an in silico research was executed to elucidate the inhibitory potential of selected thiazolides derivatives against SARS-CoV-2 Protease (Mpro) and Methyltransferase (MTase). Based on the analysis; 4 compounds were discovered to have efficacious and remarkable results against the proteins of the interest. Primarily, results obtained through this study not only allude these compounds as potential inhibitors but also pave the way for in vivo and in vitro validation of these compounds.Gaussian Markov random fields (GMRFs) are popular for modeling dependence in large areal datasets due to their ease of interpretation and computational convenience afforded by the sparse precision matrices needed for random variable generation. Typically in Bayesian computation, GMRFs are updated jointly in a block Gibbs sampler or componentwise in a single-site sampler via the full conditional distributions. The former approach can speed convergence by updating correlated variables all at once, while the latter avoids solving large matrices. We consider a sampling approach in which the underlying graph can be cut so that conditionally independent sites are updated simultaneously. This algorithm allows a practitioner to parallelize updates of subsets of locations or to take advantage of 'vectorized' calculations in a high-level language such as R. Through both simulated and real data, we demonstrate computational savings that can be achieved versus both single-site and block updating, regardless of whether the data are on a regular or an irregular lattice. The approach provides a good compromise between statistical and computational efficiency and is accessible to statisticians without expertise in numerical analysis or advanced computing.The principle of synthetic lethality, which refers to the loss of viability resulting from the disruption of two genes, which, individually, do not cause lethality, has become an attractive target approach due to the development and clinical success of Poly (ADP-ribose) polymerase (PARP) inhibitors (PARPi). In this review, we present the most recent findings on the use of PARPi in the clinic, which are currently approved for second-line therapy for advanced ovarian and breast cancer associated with mutations of BRCA1 or BRCA2 (BRCA1/2) genes. PARPi efficacy, however, appears to be limited by acquired and inherent resistance, highlighting the need for alternative and synergistic targets to eliminate these tumors. Here, we explore other identified synthetic lethal interactors of BRCA1/2, including DNA polymerase theta (POLQ), Fanconi anemia complementation group D2 (FANDC2), radiation sensitive 52 (RAD52), Flap structure-specific endonuclease 1 (FEN1), and apurinic/apyrimidinic endodeoxyribonuclease 2 (APE2), as well as other protein and nonprotein targets, for BRCA1/2-mutated cancers and their implications for future therapies. A wealth of information now exists for phenotypic and functional characterization of these novel synthetic lethal interactors of BRCA1/2, and leveraging these findings can pave the way for the development of new targeted therapies for patients suffering from these cancers.Osteosarcoma has a poor prognosis, and the poor understanding of the genetic drivers of osteosarcoma hinders further improvement in therapeutic approaches. Transcription factor forkhead box P1 (FOXP1) is a crucial modulator in skeletal development and aging. Here, we determined the role and regulatory mechanisms of FOXP1 in osteosarcoma. Higher FOXP1 expression correlated with malignancy in both osteosarcoma cell lines and clinical biopsies. check details FOXP1 overexpression and knockdown in osteosarcoma cell lines revealed that FOXP1 promoted proliferation, tumor sphere formation, migration and invasion, and inhibited anoikis. Mechanistically, FOXP1 acted as a repressor of P21 and RB (retinoblastoma protein) transcription, and directly interacted with the tumor suppressor p53 to inhibit its activity. Extracellular signal-regulated kinase/c-Jun N-terminal kinase (ERK/JNK) signaling and c-JUN/c-FOS transcription factors were found to be upstream activators of FOXP1. Moreover, FOXP1 silencing via lentivirus or adeno-associated virus (AAV)-mediated delivery of shRNA suppressed osteosarcoma development and progression in cell-derived and patient-derived xenograft animal models. Taken together, we demonstrate that FOXP1, which is transactivated by ERK/JNK-c-JUN/c-FOS, drives osteosarcoma development by regulating the p53-P21/RB signaling cascade, suggesting that FOXP1 is a potential target for osteosarcoma therapy.BACKGROUND Long noncoding RNAs (lncRNAs) play essential roles in the regulation of breast cancer development. We herein investigated the potential role of lncRNA TCONS_00068220 in breast cancer pathogenesis. MATERIAL AND METHODS The expression levels of TCONS_00068220 in breast cancer tissues were measured by qRT-PCR. Afterwards, TCONS_00068220 was (1) overexpressed in MCF-7 breast cancer cells, and (2) silenced in MDA-MB-231 cells. Then, CCK-8 and transwell assays were conducted to detect the impact of TCONS_00068220 on cell proliferation, migration, and invasion. The expression of the epithelial-mesenchymal transition (EMT) marker E-cadherin was detected by western blot assay after upregulation or downregulation of TCONS_00068220. RESULTS TCONS_00068220 was remarkably upregulated in breast cancer tissues compared with non-cancerous tissues. In addition, TCONS_00068220 level was significantly correlated with lymphatic metastasis, Ki67 index, clinical stage, and differentiation grade. All breast cancer cell lines displayed a higher expression level of TCONS_00068220 compared with the normal breast epithelial cell line MCF-10A. Furthermore, enhanced expression of TCONS_00068220 in MCF-7 cells promoted cell proliferation, migration, invasion, and EMT, whereas TCONS_00068220 knockdown in MDA-MB-231 cells led to the opposite results. E-cadherin was negatively regulated by TCONS_00068220 in both breast cancer tissues and cell lines. Finally, TCONS_00068220 regulated MCF-7 and MDA-MB-231 cell behaviors by downregulating E-cadherin. CONCLUSIONS TCONS_00068220 promotes breast cancer cell proliferation, migration, and invasion, while facilitating the process of EMT by interacting with E-cadherin and suppressing its expression. Therefore, it may potentially serve as an oncogene in breast cancer progression.BACKGROUND Acute tubulointerstitial nephritis is most often induced by drug therapy and is characterized by the presence of edema, inflammatory infiltrates, and sometimes granulomas within the interstitium. We report this case to describe florid interstitial hemorrhages as a novel feature of Amoxicillin-Clavulanate-induced acute tubulointerstitial nephritis. CASE REPORT A young man presented with intermittent visible hematuria and acute kidney injury after a course of Amoxicillin-Clavulanate for upper respiratory tract illness. Renal biopsy demonstrated acute tubulointerstitial nephritis with multifocal intense interstitial hemorrhages, intratubular red blood cells, and red blood cell casts. At the same time, he was diagnosed with acute lymphoblastic leukemia. Leukemic cellular infiltration and other potential causes of tubulointerstitial nephritis were ruled out. CONCLUSIONS Drug-induced tubulointerstitial nephritis can be associated with florid interstitial hemorrhages. This can lead to an atypical clinicopathological presentation of tubulointerstitial nephritis, masquerading as glomerulonephritis, vasculitis, or infectious interstitial nephritis.