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Octacalcium phosphate (OCP), an encrusted calcium phosphate complex, has appealed consideration in the field of biomaterial and apothecary, owing to its exceptional biocompatibility. However, not much is known about the effect of Na ion for the formation of OCP, irrespective of pH. Consequently, in this study, we considered the part of the Na ion in OCP growth from dicalcium phosphate dihydrate (DCPD) via hydrolysis by using 0.1 M CH 3 COONa solutions with adjustment of various pH. Novelty of the study is, expending this way we can synthesize OCP irrespective of pH and most importantly at 37°C, which is an important parameter for acceptable biomaterials. Throughout the study, no foreign phase was observed except OCP. Morphological images are also evident for the attractive OCP flowers. Graphic Abstract

Acute myeloid leukemia (AML) is an aggressive blood cancer characterized by poor survival outcomes. Further, due to the extreme molecular heterogeneity of the disease, drug treatment response varies from patient to patient. The variability of drug response can cause unnecessary treatment in more than half of the patients with no or partial therapy responses leading to severe side effects, monetary as well as time loss. Understanding the genetic risk factors underlying the drug response in AML can help with improved prediction of treatment responses and identification of biomarkers in addition to mechanistic insights to monitor treatment response. Here, we report the results of the first Exome-Wide Association Study (EWAS) of ex-vivo drug response performed to date with 175 AML cases and 47 drugs. We used information from 55,423 germline exonic SNPs to perform the analysis. We identified exome-wide significant ( p  < 9.02 × 10 − 7 ) associations for rs113985677 in CCIN with tamoxifen response, rs115400838 in TRMT5 with idelalisib response, rs11878277 in HDGFL2 with entinostat, and rs2229092 in LTA associated with vorinostat response. Further, using multivariate genome-wide association analysis, we identified the association of rs11556165 in ATRAID , and rs11236938 in TSKU with the combined response of all 47 drugs and 29 nonchemotherapy drugs at the genome-wide significance level ( p  < 5 × 10 − 8 ). Additionally, a significant association of rs35704242 in NIBAN1 was associated with the combined response for nonchemotherapy medicines ( p  = 2.51 × 10 − 8 ), and BI.2536, gefitinib, and belinostat were identified as the central traits. Our study represents the first EWAS to date on ex-vivo drug response in AML and reports 7 new associated loci that help to understand the anticancer drug response in AML patients.

The vaccination drive against COVID-19 worldwide was quite successful. However, the second wave of infections was even more disastrous. There was a rapid increase in reinfections and human deaths due to the appearance of new SARS-CoV-2 variants. The viral genome mutations in the variants were acquired while passing through different human hosts that could escape antibodies in convalescent or vaccinated individuals. The treatment was based on oxygen supplements and supportive protocols due to the lack of a specific drug. In this study, we identified three lead inhibitors of arylated coumarin derivatives 4,6,8-tri(naphthalen-2-yl)-2H-chromen-2-one (NF1), 8-(4-hydroxyphenyl)-4,6-di(naphthalen-2-yl)-2H-chromen-2-one (NF12) and 8-(4-hydroxyphenyl)-3,6-di(naphthalen-2-yl)-2H-chromen-2-one (NF-13) that showed higher binding affinity towards the junction of SARS-CoV-2 spike glycoprotein (S-protein) and human angiotensin-converting enzyme 2 (ACE2) receptor. Using molecular docking analysis, we identified the putative binding sites of these potent inhibitors. Notably, molecular dynamics (MD) simulation and MM-PBSA studies confirmed that these inhibitors have the potential ability to bind Spike-protein/ACE2 protein complex with minimal energy. Further, the two major concerns are an adaptive mutation of spike proteins- N501Y and D614G which displayed strong affinity towards NF-13 in docking analysis. Additionally, in vitro and in vivo studies are required to confirm the above findings and develop the inhibitors as potential drugs against SARS-CoV-2.

Background Autoimmune diseases (AD) are severe pathophysiological ailments that are stimulated by an exaggerated immunogenic response towards self‐antigens, which can cause systemic or site‐specific organ damage. An array of complex genetic and epigenetic facets majorly contributes to the progression of AD, thus providing significant insight into the regulatory mechanism of microRNA (miRNA). miRNAs are short, non‐coding RNAs that have been identified as essential contributors to the post‐transcriptional regulation of host genome expression and as crucial regulators of a myriad of biological processes such as immune homeostasis, T helper cell differentiation, central and peripheral tolerance, and immune cell development. Aims This article tends to deliberate and conceptualize the brief pathogenesis and pertinent epigenetic regulatory mechanism as well as miRNA networks majorly affecting five different ADs namely rheumatoid arthritis (RA), type 1 diabetes, multiple sclerosis (MS), systemic lupus erythematosus (SLE) and inflammatory bowel disorder (IBD) thereby providing novel miRNA‐based theranostic interventions. Results & Discussion Pertaining to the differential expression of miRNA attributed in target tissues and cellular bodies of innate and adaptive immunity, a paradigm of scientific expeditions suggests an optimistic correlation between immunogenic dysfunction and miRNA alterations. Conclusion Therefore, it is not astonishing that dysregulations in miRNA expression patterns are now recognized in a wide spectrum of disorders, establishing themselves as potential biomarkers and therapeutic targets. Owing to its theranostic potencies, miRNA targets have been widely utilized in the development of biosensors and other therapeutic molecules originating from the same.

The continuous evolution of SARS-CoV-2 has led to the emergence of several variants of concern (VOCs) that significantly affect global health. This study aims to investigate how these VOCs affect host cells at proteome level to better understand the mechanisms of disease. To achieve this, we first analyzed the (phospho)proteome changes of host cells infected with Alpha, Beta, Delta, and Omicron BA.1 and BA.5 variants over time frames extending from 1 to 36 h post infection. Our results revealed distinct temporal patterns of protein expression across the VOCs, with notable differences in the (phospho)proteome dynamics that suggest variant-specific adaptations. Specifically, we observed enhanced expression and activation of key components within crucial cellular pathways such as the RHO GTPase cycle, RNA splicing, and endoplasmic reticulum-associated degradation (ERAD)-related processes. We further utilized proximity biotinylation mass spectrometry (BioID-MS) to investigate how specific mutation of these VOCs influence viral–host protein interactions. Our comprehensive interactomics dataset uncovers distinct interaction profiles for each variant, illustrating how specific mutations can change viral protein functionality. Overall, our extensive analysis provides a detailed proteomic profile of host cells for each variant, offering valuable insights into how specific mutations may influence viral protein functionality and impact therapeutic target identification. These insights are crucial for the potential use and design of new antiviral substances, aiming to enhance the efficacy of treatments against evolving SARS-CoV-2 variants.

Low-crystalline Mg-substituted β-tricalcium phosphate (Mg-β-TCP) block with a foaming structure (foam) was fabricated through a compositional conversion via a dissolution–precipitation reaction using α-tricalcium phosphate (α-TCP) foam as precursors in a solution containing 1.0 mol l −1 MgCl 2 and 0.1 mol l −1 NaH 2 PO 4 under hydrothermal conditions at 100°C for 2 days. However, after immersion in the above-mentioned solution, the microstructure of the α-TCP foam consisted of polycrystalline aggregates, which are different from α-TCP foam and appear to have a typical sintered structure. The compressive strength and porosity of the Mg-β-TCP foam were 9.8 ± 1.02 MPa and 55.61 ± 4.13%, respectively. The fabricated Mg-β-TCP foam showed excellent interconnectivity. When the fabricated Mg-β-TCP foam was soaked in a dye solution, the inner structure of the fabricated Mg-β-TCP foam was completely stained. This suggests that the fabricated Mg-β-TCP foam might have excellent tissue penetration and good biocompatibility.

The sentiment analysis is the approach which is design to analysis positive, negative and neural aspects towards any approach. In the past years, many techniques are designed for the sentiment analysis of twitter data. Based on the previous study about sentiment analysis, novel approach is presented in this research paper for the sentiment analysis of twitter data. The proposed approach is the combination of feature extraction and classification techniques. The Ngram algorithm is applied for the feature extraction and KNN classifier is applied to classify input data into positive, negative and neural classes. To validate the proposed system, performance is analyzed in terms of precision, recall and accuracy. The experiments results of proposed system show that it performs well as compared to existing system which is based on SVM classifier.

Endometriosis is a chronic and complex endocrine disorder that affects women of reproductive age. This syndrome is benign and is characterized by a combination of ovarian dysfunction and estrogen dependency symptoms, as well as pain and infertility. The most commonly stated symptoms include dysmenorrhea, significant dyspareunia, dyschezia, and dysuria. It is a severe public health issue. The prevalence rate is quite high and continues to rise on a daily basis. Starting with its diagnosis, pathophysiology, repercussions, and treatment options, there are numerous areas of disagreement. This study aims to provide an overview of the development of endometriosis diagnosis, symptoms, risk factors, etiology, medicinal plants, phytochemicals, and treatment, with a focus on research and the creation of novel therapeutic strategies. We conclude by making predictions and recommendations for the future of endometriosis-related research and prospective therapy approaches. Graphical Abstract

Sentiment analysis is a method to determine the ones opinion, sentiment over any product, organizations andevents in order to identify what a person really want to say about that particular thing. Sarcasm is a different form of communication which expresses any ones anger, joy or neutral response over any social event, product feature or organization. Sarcasm is very tough to identify because its literal meaning is totally different from its intended meaning.