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The document is a contents list of the journal "Dalton Transactions: An International Journal of Inorganic Chemistry," which covers various topics related to inorganic chemistry. It includes articles on metal complexes, electrocatalysts, nanocrystals, and organic synthesis. The journal aims to provide original research and perspectives to contribute to scientific progress in the field of chemistry. One article discussed in the document is about the synthesis and characterization of copper complexes that can be used in the degradation of organic dyes using visible light. Another article focuses on the synthesis and characterization of palladium complexes for use in focused electron beam induced deposition. [Extracted from the article]

In this paper, three different Zn(II) complexes with (E)-2-(2-(1-(6-bromopyridin-2-yl)ethylidene)hydrazinyl)-N,N,N-trimethyl-2-oxoethan-1-aminium chloride (HLCl) have been synthesized and characterized by single crystal X-ray diffraction, elemental analysis, IR and NMR spectroscopy. All complexes are mononuclear, with the ligand (L) coordinated in a deprotonated formally neutral zwitterionic form via NNO donor set atoms. Complex 1 forms an octahedral geometry with the composition [ZnL2](BF4)2, while complexes 2 [ZnL(NCO)2] and 3 [ZnL(N3)2] form penta-coordinated geometry. Density functional theory (DFT) calculations were performed to enhance our understanding of the structures of the synthesized complexes and the cytotoxic activity of the complexes was tested against five human cancer cell lines (HeLa, A549, MDA-MB-231, K562, LS 174T) and normal human fibroblasts MRC-5. Additionally, antibacterial and antifungal activity of these complexes was tested against a panel of Gram-negative and Gram-positive bacteria, two fungal strains, and a yeast strain. It is noteworthy that all three complexes show selective antifungal activity comparable to that of amphotericin B. Molecular docking analysis predicted that geranylgeranyl pyrophosphate synthase, an enzyme essential for sterol biosynthesis, is the most likely target for inhibition by the tested complexes. [ABSTRACT FROM AUTHOR]

Background: Ovarian cancer is a highly aggressive malignancy with limited therapeutic options and a poor prognosis. Deubiquitinating enzymes (DUBs) have emerged as critical regulators of protein ubiquitination and proteasomal degradation, influencing various cellular processes relevant to cancer pathogenesis. In this study, the research progress between ovarian cancer and DUBs was mapped and visualized using bibliometrics, and the expression patterns and biological roles of DUBs in ovarian cancer were summarized. Methods: Studies related to DUBs in ovarian cancer were extracted from the Web of Science Core Collection (WoSCC) database. VOSviewer 1.6.20, CiteSpace 6.3.R1, and R4.3.3 were used for bibliometric analysis and visualization. Results: For analysis 243 articles were included in this study. The number of publications on DUBs in ovarian cancer has gradually increased each year. China, the United States, and the United Kingdom are at the center of this field of research. The Johns Hopkins University, Genentech, and Roche Holding are the main research institutions. David Komander, Zhihua Liu, and Richard Roden are the top authors in this field. The top five journals with the largest publication volumes in this field are Biochemical and Biophysical Research Communications, Journal of Biological Chemistry, PLOS One, Nature Communications, and Oncotarget. Keyword burst analysis identified five research areas: "deubiquitinating enzyme," "expression," "activation," "degradation," and "ubiquitin." In addition, we summarized the expression profiles and biological roles of DUBs in ovarian cancer, highlighting their roles in tumor initiation, growth, chemoresistance, and metastasis. Conclusion: An overview of the research progress is provided in this study on DUBs in ovarian cancer over the last three decades. It offers insight into the most cited papers and authors, core journals, and identified new trends. [ABSTRACT FROM AUTHOR]

Recently, as doctors and researchers investigate into to the possible benefits of daily diets, ketogenic diets (KD) have started to gain popularity. As the growing up popularity of KD in social media, researchers had the chance to show their academic studies to the public more easily. Therefore, in this study, KD is discussed in terms of the recently popular “altmetric analysis” by scientists. The aim of study is to highlight the role of the ketogenic diet, figure out the mechanism of ketone bodies and the pivotal role of altmetric studies in health sciences. In order to investigate the novel aspects of the top 100 (T100) most cited scientific research paper in academia, 100 most discussed research paper was selected on social media platforms about KD from 1992 to 2019 and it was compared in terms of bibliometrics in web of science and in terms of social media impact in altmetric.com. While the total citations of the top 100 articles ranged from 143–109, altmetric values of T100 are 0–1269. According to the top social media platforms where the articles are mentioned, Twitter, Facebook, and Patent are the most popular social media platforms, respectively. It was not always coherent how altmetric data related to traditional bibliometric analysis. Thus, it might be suggested that bibliometric and altmetric assessments be viewed as complementary to one another. And by far the most important result of this study is that the articles with the highest citation may not receive much attention on social media due to their subject content. [ABSTRACT FROM AUTHOR]

The liver is a crucial organ in the regulation of metabolism, signaling, and homeostasis. Using recent advanced sequencing technologies, several mutations of genes in major metabolic and signaling pathways have been discovered in the pathogenesis of hepatocellular carcinoma (HCC). These gene signatures alter expression and ultimately affect biochemical pathways by modifying enzyme/protein levels, resulting in numerous clinical outcomes related to HCC. It comes with varying forms of genetic and biochemical alterations, associated with carbohydrate, lipid, nucleic acid, and amino acid metabolism, as well as signaling pathways linked to tumorigenesis. Here, we aim to summarize the main components and mechanisms involved in the progression of HCC with a special focus on the metabolic regulation of key effectors of tumorigenesis, through the crosstalk between genetics and biochemistry. This paper provides an overview of hepatocellular carcinoma, underlying the fundamental effect of gene variations on metabolic and signaling pathways. Since there is still an unmet need for biomarkers and novel therapeutic targets, some of these signature genes or proteins can be used as novel biomarkers for diagnosis, prognosis, and novel potential therapeutic targets for the treatment of HCC. [ABSTRACT FROM AUTHOR]

Anaerobic fermentation converts organic waste into valuable products like volatile fatty acids (VFA). However, this process has weaknesses, such as delayed mass transfer, a slow microbe growth rate, poor hydrolysis, and surface heterogeneity. Such issues can be addressed by adding nanomaterials because they have unique physicochemical properties, such as a large surface area, many active sites, a high level of reactivity, a high level of specificity, the ability to self-assemble, and better mobility. This review focuses on the current efforts to investigate the effects of nanomaterials on improving VFA production. In addition, this work includes bibliometric information to aid in understanding current trends in this field of study. Furthermore, this work also reviewed the cytotoxicity and ecotoxicity of nanoparticles, followed by the applications and downstream processing of VFA. Finally, this paper discusses the reuse and recovery of several nanomaterials and provides a cost analysis. [ABSTRACT FROM AUTHOR]

To analyze the research status and development trend of ionic liquids toxicology, VOSviewer and HistCite software were used to visually analyze the countries, institutions, authors, keywords, etc. of 1 178 ionic liquids toxicology related to literatures in the Web of Science core database from 2000 to 2021. The results show that: the number of literatures in the field of ionic liquids toxicology is increasing year by year, and China is far ahead of other countries in both the number of papers published and the total citation score. At present, the paper is mainly based on team cooperation within institutions, with strong independence. Although Chinese institutions and authors rank higher in the number of papers published, their total local citation score is not outstanding. The main focus of research in ionic liquids toxicology is imidazolium. The research focuses on the evaluation of lethality and composition changes in organisms, and the construction of structure-activity relationship models between ionic liquids and organisms. The mechanism of ionic liquids toxicity and combined pollution may be the focus of future research. [ABSTRACT FROM AUTHOR]

Biochemical sensors have important applications in biology, chemistry, and medicine. Nevertheless, many biochemical sensors are hampered by intricate techniques, cumbersome procedures, and the need for labeling. In the past two decades, it has been discovered that liquid crystals can be used to achieve the optical amplification of biological interactions. By modifying recognition molecules, a variety of label-free biochemical sensors can be created. Consequently, biochemical sensors based on the amplification of liquid crystals have become one of the most promising sensors. This paper describes in detail the optical sensing principle of liquid crystals, sensing devices, and optical detection technologies. Meanwhile, the latest research findings are elucidated. Finally, the challenges and future research directions are discussed. [ABSTRACT FROM AUTHOR]

The ability to study chemical dynamics on ultrafast timescales has greatly advanced with the introduction of X-ray free electron lasers (XFELs) providing short pulses of intense X-rays tailored to probe atomic structure and electronic configuration. Fully exploiting the full potential of XFELs requires specialized experimental endstations along with the development of techniques and methods to successfully carry out experiments. The liquid jet endstation (LJE) at the Linac Coherent Light Source (LCLS) has been developed to study photochemistry and biochemistry in solution systems using a combination of X-ray solution scattering (XSS), X-ray absorption spectroscopy (XAS), and X-ray emission spectroscopy (XES). The pump–probe setup utilizes an optical laser to excite the sample, which is subsequently probed by a hard X-ray pulse to resolve structural and electronic dynamics at their intrinsic femtosecond timescales. The LJE ensures reliable sample delivery to the X-ray interaction point via various liquid jets, enabling rapid replenishment of thin samples with millimolar concentrations and low sample volumes at the 120 Hz repetition rate of the LCLS beam. This paper provides a detailed description of the LJE design and of the techniques it enables, with an emphasis on the diagnostics required for real-time monitoring of the liquid jet and on the spatiotemporal overlap methods used to optimize the signal. Additionally, various scientific examples are discussed, highlighting the versatility of the LJE. [ABSTRACT FROM AUTHOR]

Selective recognition and sensing of catecholamine-based neurotransmitters by fluorescent synthetic receptors capable of operating in pure water is a central topic of modern supramolecular chemistry that impacts biological and analytical chemistry. Despite advances achieved in the recognition of some neurotransmitters such as dopamine, little effort has been invested in the optical recognition of other neurotransmitters of paramount importance in biochemistry and medicinal chemistry such as the drug L -dihydroxy-phenylalanine (levodopa). Herein, a cationic Cu(II)–terpyridine complex bearing an intramolecular fluorescent quinolinium ring covalently linked to phenylboronic acid (CuL1) was synthesized, structurally described by single-crystal X-ray diffraction and studied in-depth as a fluorescent receptor for neurotransmitters in water. The complex CuL1 was designed to act as a receptor for levodopa through two Lewis acids of different natures (Cu(II) and B atoms) as cooperative binding points. The receptor CuL1 was found to have a strongly acidified –B(OH)2 group (pKa = 6.2) and exceptionally high affinity for levodopa (K = 4.8 × 106 M−1) with selectivity over other related neurotransmitters such as dopamine, epinephrine, norepinephrine and nucleosides in the micromolar concentration range at physiological pH. Such levodopa affinity/selectivity for a boronic acid-based receptor in water is still rare. On the basis of spectroscopic tools (11B NMR, UV-vis, EPR, and fluorescence), high-resolution ESI-MS, crystal structure, and DFT calculations, the interaction mode of CuL1 with levodopa is proposed in a 1 : 1 model using two-point recognition involving a boronate–catechol esterification and a coordination bond Cu(II)–carboxylate. Furthermore, a visual sensing ensemble was constructed using CuL1 and the commercial fluorescent dye eosin Y. Levodopa is efficiently detected by the displacement of the eosin Y bound to the Cu(II)–receptor, monitoring its green emission. The use of Cu(II)–boronate complexes for fast and selective neurotransmitter sensing was unexplored until now. [ABSTRACT FROM AUTHOR]

Johannes Herrmann is a Professor of Cell Biology at the University of Kaiserslautern in Germany. His research focus is centred on the biogenesis of mitochondrial proteins. Johannes is a member of the German Academy of Sciences and member of the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) Biochemistry Panel. He has been a member of the FEBS Publication Committee since 2021. In this interview, he explains the source of his scientific interest in mitochondrial biology and details how the work of the FEBS Publication Committee safeguards the future of the FEBS Press journals. [ABSTRACT FROM AUTHOR]

Enzymes are protein molecules that play a crucial role in various biological processes in living organisms. They function as catalysts in biological reactions such as digestion, metabolism, DNA replication and other physiological processes. Furthermore, enzymes are widely used in food production, pharmaceuticals and biofuel production. In these industries, they accelerate desired chemical reactions as biocatalysts. Therefore, applying computational methods and data-driven algorithms to predict enzyme properties is essential. Over the past decade, deep learning has made remarkable advancements in science and technology. Deep learning is a subset of machine learning algorithms that rely on artificial neural networks. These algorithms can be employed for supervised, semi-supervised and unsupervised learning. Here, to provide an update on the current literature, we provide an overview of various deep learning algorithms and recent advancements in their application to enzyme science. These applications can generally be categorized into diverse subjects: function prediction, enzyme kinetic parameters prediction, enzyme-substrate identification, condition optimization, thermophilic property prediction, enzyme catalytic site prediction and enzyme design. In conclusion, we discuss the convergence of enzyme science and deep learning, highlighting the potential opportunities and challenges. Artificial intelligence algorithms have diverse applications in enzyme science. In this review paper, we focus on deep learning algorithms and their implications on various tasks, such as enzyme design, kinetic parameters prediction, etc. [ABSTRACT FROM AUTHOR]

The solubility of pigments is of significant importance for the successful coloring of various products in the food industry. In this work, the solubility of anthocyanins and chlorophylls was analyzed by thin-layer chromatography. Plant pigments were applied to filter paper and placed in mixtures of hydrophilic, ethanol, methanol, hydrophobic solvents, heptane, chloroform, and petroleum ether. In addition, solutions of different pH were used to examine how pH changes the color of the plant pigments. By adding small amounts of a strong acid (hydrochloric acid), a strong base (sodium hydroxide), weak acids (citric acid and acetic acid), and salts (sodium hydrogen carbonate and sodium hypochlorite) to the pigment extracts, a palette of various colors in the pigments was observed. Based on the solubility data and the results of the color change in the pigments, anthocyanins were successfully used as a food color in a food product with acidic pH, lemonade, and a food product with basic pH, cookies. [ABSTRACT FROM AUTHOR]

We describe herein a method of recharging used commercial spin columns or assembling homemade spin columns using filter paper as binding material for cost-effective, low throughput nucleic acid purification. The efficiency of filter paper-based spin columns was evaluated for purification of nucleic acids from various sources. Following protocols of commercial kits, we found filter paper to be a useful binding material for purification of nucleic acids, including plant genomic DNA, plant total RNA, PCR products, and DNA from agarose gels. However, filter paper has a weak binding affinity to plasmid DNA in tested miniprep protocols. Protocols for the use of filter paper recharged spin columns or homemade spin columns for low throughput purification of plant genomic DNA and total RNA with unused commercial kit buffers or less expensive homemade buffers are presented. [ABSTRACT FROM AUTHOR]

The coronavirus disease 2019 (COVID‐19) pandemic is a case that can be used as a biochemistry learning resource in relation to the topic of viruses. Learning to use cases will be effective if students are assigned to produce reports, articles, or other scientific papers. Self‐assessment can be used to assess the competencies that have been learnt in the writing process. This study aims to analyze the scientific papers and self‐assessment of students using the COVID‐19 pandemic case. It includes qualitative research with scientific paper and self‐assessment questionnaire analyses. The research sample was chemistry education study program students (N = 57) following biochemistry course, out of a population of 87 students. The results show that the students have a good understanding of explaining COVID‐19. Self‐assessment analysis shows that 80% of the students responded positively to eight statements; those who gave positive responses to each questionnaire statement were able to produce scientific papers. Good self‐assessment is in line with the ability of students to compile good scientific papers. [ABSTRACT FROM AUTHOR]

The emergence of ChatGPT as one of the most advanced chatbots and its ability to generate diverse data has given room for numerous discussions worldwide regarding its utility, particularly in advancing medical education and research. This study seeks to assess the performance of ChatGPT in medical biochemistry to evaluate its potential as an effective self‐learning tool for medical students. This evaluation was carried out using the university examination question papers of both parts 1 and 2 of medical biochemistry which comprised theory and multiple choice questions (MCQs) accounting for a total of 100 in each part. The questions were used to interact with ChatGPT, and three raters independently reviewed and scored the answers to prevent bias in scoring. We conducted the inter‐item correlation matrix and the interclass correlation between raters 1, 2, and 3. For MCQs, symmetric measures in the form of kappa value (a measure of agreement) were performed between raters 1, 2, and 3. ChatGPT generated relevant and appropriate answers to all questions along with explanations for MCQs. ChatGPT has "passed" the medical biochemistry university examination with an average score of 117 out of 200 (58%) in both papers. In Paper 1, ChatGPT has secured 60 ± 2.29 and 57 ± 4.36 in Paper 2. The kappa value for all the cross‐analysis of Rater 1, Rater 2, and Rater 3 scores in MCQ was 1.000. The evaluation of ChatGPT as a self‐learning tool in medical biochemistry has yielded important insights. While it is encouraging that ChatGPT has demonstrated proficiency in this area, the overall score of 58% indicates that there is work to be done. To unlock its full potential as a self‐learning tool, ChatGPT must focus on generating not only accurate but also comprehensive and contextually relevant content. [ABSTRACT FROM AUTHOR]

Legumes being a major source of protein have a wide range of economic importance. But the major constraints in growing legumes are poor germination, seedling emergence, non uniform stand establishment and crop mortality leading to lower pulse productivity. Thus, pre-sowing seed treatments are critical parameters which attribute to efficient plant growth and high yield. Uniform seed germination, seedling growth and uniform establishment are the critical stages during the growth of crops. Seed priming is a very promising presowing treatment employed to improve seed germination, better crop establishment, enhance the seed quality and induces tolerance against biotic and abiotic stresses in plants thereby providing a balanced healthy diet to the citizens. Priming is a cost effective and feasible strategy involving controlled hydration of seeds followed by drying to stimulate the pre-germinative metabolic activities to occur promoting rapid germination of seedlings, break dormancy and enhance crop yield. Enzymatic, metabolic and biochemical processes of the primed seeds attributes to rapid and uniform seedling emergence. Seed priming methods comprises of conventional methods including hydro priming, osmopriming, biopriming, chemical priming and the advanced methods including nano priming and priming with physical agents. In this review paper, the underlying physiological, biochemical and molecular aspects of priming in pulses were discussed. [ABSTRACT FROM AUTHOR]

Biochemical sensors have important applications in biology, chemistry, and medicine. Nevertheless, many biochemical sensors are hampered by intricate techniques, cumbersome procedures, and the need for labeling. In the past two decades, it has been discovered that liquid crystals can be used to achieve the optical amplification of biological interactions. By modifying recognition molecules, a variety of label-free biochemical sensors can be created. Consequently, biochemical sensors based on the amplification of liquid crystals have become one of the most promising sensors. This paper describes in detail the optical sensing principle of liquid crystals, sensing devices, and optical detection technologies. Meanwhile, the latest research findings are elucidated. Finally, the challenges and future research directions are discussed. [ABSTRACT FROM AUTHOR]

Josep Rizo is a Professor of Biophysics, Biochemistry and Pharmacology at the University of Texas Southwestern Medical Center, where he is Virginia Lazenby O'Hara Chair in Biochemistry. He is particularly interested in the study of the mechanisms of neurotransmitter release and intracellular membrane fusion using structural biology, a variety of biophysical techniques and reconstitution approaches. Jose has been a part of the FEBS Open Bio Editorial Board since 2021. In this interview, he shares his insights into developments in the field of neurotransmitter release, describes his move from Spain to the United States, and discusses how sometimes you need to use both logic and scientific hunches. [ABSTRACT FROM AUTHOR]

Effluent found in the pulp and paper industry can cause considerable damage if it is discharged untreated, because of the high biochemical and chemical oxygen demands. Electrocoagulation is a physicochemical process widely used in industrial wastewater treatment. The removal of different pollutants depends on the sample type and operating conditions. The aim of this research was to evaluate the efficiency of an electrocoagulation system for COD removal from recycled paper production effluent via aluminum and iron electrodes. Different operational parameters, such as the electrolysis time (5 min to 15 min), current density (7 A/m² to 11 A/m²), and distance between each electrode (5 mm to 20 mm), were evaluated. The turbidity, total suspended solids, chlorides, sulfates, and COD had removal efficiencies of 92.7%, 91.3%, 70.4%, 66.6%, and 64%, respectively. A polynomial model was generated to estimate the optimum conditions for COD removal. The optimum times for the current densities 7 A/m², 8 A/m², 9 A/m², 10 A/m², and 11 A/m² were 39.5 min, 39.5 min, 35.7 min, 34.1 min, and 32.8 min, respectively, with a 15-mm electrode gap. [ABSTRACT FROM AUTHOR]

Purpose: To investigate cytokine levels in peri-implant crevicular fluid and thus evaluate the effects of concentrated growth factor (CGF) on osseointegration. Materials and Methods: A total of 40 mandibular implants were symmetrically placed in a group of 20 systemically healthy patients enrolled in the study. In each patient, one implant wetted with liquid infiltrated from fibrin matrix was placed in the test side (Group L), and the other implant was placed in the control side without the application of any material (Group C). Peri-implant crevicular fluid was collected at 2, 4, and 12 weeks later. Marginal bone loss was measured with panoramic radiographs taken immediately after implant placement and at 12 weeks. Resonance frequency analysis (RFA) of the implants was performed intraoperatively and at 4 and 12 weeks. Results: Stability values of the implants in the CGF liquid–treated sites were higher than those of the control group at week 12 (P = .005). There was no statistically significant difference between the two groups in terms of marginal bone loss (MBL). Group L showed increased levels of tumor necrosis factor alpha (TNF-α) and receptor activator of nuclear factor kappa-B ligand (RANKL) at 2 and 4 weeks. Also, levels of osteoprotegerin (OPG) were higher in Group L at week 4 compared to Group C (P = .033). Conclusions: The increased TNF-α, RANKL, and OPG levels in this study demonstrate that CGF liquid can be used to accelerate peri-implant bone remodeling in the early phase of osseointegration. [ABSTRACT FROM AUTHOR]

The article discusses the advances in fractional-order neural networks and their applications in various fields such as biology, biochemistry, engineering, economics, and physics. Volume II of the Special Issue focuses on the synchronization of fractional-order neural networks, with four papers addressing this topic. Other papers explore variable-order fractionals, non-periodicity of complex maps, impulsive delayed reaction-diffusion gene regulatory networks, split-plot designs, consensus in multi-agent systems, and the mathematical theory of nabla tempered fractional calculus. The editors express their gratitude to the authors and reviewers for their contributions, and believe that the selected papers will enrich readers' knowledge in this field. [Extracted from the article]

The article discusses the historical significance and ongoing relevance of platelet physiology and biochemistry in the field of thrombosis and hemostasis. It highlights the early discoveries of platelets as distinct blood cells involved in clotting and describes the development of various methods to study platelet function. The article also emphasizes the recent understanding of platelets' role beyond thrombosis and hemostasis, including their involvement in immune responses, tumor promotion, and metastasis. The importance of incorporating new technologies, such as -omics approaches, for studying platelet biology is also mentioned. The article concludes by noting the continued interest in platelet physiology, as evidenced by the popularity of recent papers on the topic. [Extracted from the article]

The COVID‐19 pandemic has forced a shift in thinking regarding the safe delivery of wet laboratory courses. While we were fortunate to have the capacity to continue delivering wet laboratory experiments with physical distancing and other measures in place, modifications to the mechanisms of delivery within courses were necessary to minimize risk to students and teaching staff. One such modification was introduced in BCH370H, an introductory biochemistry laboratory course, where a OneNote Class Notebook (ONCN) was used as an electronic laboratory notebook (ELN) in place of the traditional hardbound paper laboratory notebook (PLN) used prior to the pandemic. The initial reasoning for switching to an ELN was around safety—allowing course staff and students to maintain physical distancing whenever possible and eliminating the need for teaching assistants to handle student notebooks; however, the benefits of the ONCN proved to be significantly more. OneNote acted not only as a place for students to record notes but the Class Notebook's unique features allowed easy integration of other important aspects of the course, including delivery of laboratory manuals, posting of student results, notetaking feedback, sharing of instructional materials with teaching assistants, and more. Student and teacher experiences with the ONCN as used within a fully in person biochemistry laboratory course, as well as learned best practices, are reviewed. [ABSTRACT FROM AUTHOR]

Selective recognition of fructosyl amino acids in water by arylboronic acid-based receptors is a central field of modern supramolecular chemistry that impacts biological and medicinal chemistry. Fructosyl valine (FV) and fructosyl glycyl histidine (FGH) occur as N-terminal moieties of human glycated hemoglobin; therefore, the molecular design of biomimetic receptors is an attractive, but very challenging goal. Herein, we report three novel cationic Zn-terpyridine complexes bearing a fluorescent N-quinolinium nucleus covalently linked to three different isomers of strongly acidified phenylboronic acids (ortho-, 2Zn; meta-, 3Zn and para-, 4Zn) for the optical recognition of FV, FGH and comparative analytes (D -fructose, Gly, Val and His) in pure water at physiological pH. The complexes were designed to act as fluorescent receptors using a cooperative action of boric acid and a metal chelate. Complex 3Zn was found to display the most acidic –B(OH)2 group (pKa = 6.98) and exceptionally tight affinity for FV (K = 1.43 × 105 M−1) with a strong quenching analytical response in the micromolar concentration range. The addition of fructose and the other amino acids only induced moderate optical changes. On the basis of several spectroscopic tools (1H, 11B NMR, UV-Vis, and fluorescence titrations), ESI mass spectrometry, X-ray crystal structure, and DFT calculations, the interaction mode between 3Zn and FV is proposed in a 1 : 1 model through a cooperative two-point recognition involving a sp3 boronate–diol esterification with simultaneous coordination bonding of the carboxylate group of Val to the Zn atom. Fluorescence quenching is attributed to a static complexation photoinduced electron transfer mechanism as evidenced by lifetime experiments. The addition of FGH to 3Zn notably enhanced its emission intensity with micromolar affinity, but with a lower apparent binding constant than that observed for FV. FGH interacts with 3Zn through boronate–diol complexation and coordination of the imidazole ring of His. DFT-optimized structures of complexes 3Zn–FV and 3Zn–FGH show a picture of binding which shows that the Zn-complex has a suitable (B⋯Zn) distance to the two-point recognition with these analytes. Molecular recognition of fructosyl amino acids by transition-metal-based receptors has not been explored until now. [ABSTRACT FROM AUTHOR]

Background Positive allosteric modulators (PAMs) of the GABAB receptor constitute a new class of GABAB-receptor ligands. GABAB PAMs reproduce several pharmacological effects of the orthosteric GABAB receptor agonist, baclofen, although displaying a better safety profile. Aims This paper reviews the reducing or, frequently, even suppressing effects of all GABAB PAMs tested to date on multiple alcohol-related behaviours in laboratory rodents exposed to validated experimental models of human alcohol use disorder. Results Acute or repeated treatment with CGP7930, GS39783, BHF177, rac -BHFF, ADX71441, CMPPE, COR659, ASP8062, KK-92A, and ORM-27669 reduced excessive alcohol drinking, relapse- and binge-like drinking, operant alcohol self-administration, reinstatement of alcohol seeking, and alcohol-induced conditioned place preference in rats and mice. Conclusions These effects closely mirrored those of baclofen; notably, they were associated to remarkably lower levels of tolerance and toxicity. The recent transition of ASP8062 to clinical testing will soon prove whether these highly consistent preclinical data translate to AUD patients. [ABSTRACT FROM AUTHOR]

The excellent characteristics of nanocellulose fiber-based papers have made them one of the most attractive and innovative materials for the development of electrochemical paper-based analytical devices (ePADs). Here, the authors describe a new ePAD based on cellulose nanofibers (CNs) for the determination of glucose concentration from whole blood samples. Cellulose acetate (CA) nanofibers were prepared by the electrospinning method. Then, the paper layer regenerated to cellulose by deacetylation in alkaline solution. To obtain a smooth and continuous CNs layer, it was treated with trimethyl chitosan (TMC). The formation of CA layer, its alkaline regeneration and TMC modification was confirmed by atomic force microscopy, scanning electron microscopy, Fourier-transform infrared spectroscopy, and energy dispersiveX-ray. Screen-printed three electrodes (SPEs) were fabricated by sputtering a thick layer of gold (Au) on the TMC/CNs substrate. Subsequently, reduced graphene oxide (rGO) was used to modify the surface of the working electrode. The fabrication steps of rGO-Au-SPE were characterized using cyclic voltammetry (CV), electrochemical impedance spectroscopy (EIS) and scanning electron microscop. The results showed that design, construction and modification process was well achieved. Next, glucose oxidase is successfully immobilized onto the regenerated CNs layer which has been previously located in the sensing area of the rGO-Au-SPEs. The ePAD glucose assay exhibited high sensitivity of $9.9\times 10^{-4}~\text{K}\Omega ^{-1} \cdot \text{mM} ^{-1}$ to glucose in the range 3.3 – 27.7 mM ($\text{R}^{2} =0.99$) with a detection limit of 0.1 mM, high reproducibility (RSD = 0.57-1.59%) and outstanding selectivity as well as stability. This biosensing motif represents a general platform for the analysis of other biomarkers. [ABSTRACT FROM AUTHOR]

Background: The traditional pattern of theory assessment may not address the principles of assessment due to faulty paper-setting practices. This interventional study aimed to sensitize the faculty in designing a test blueprint template to set question papers (QPs). The set QPs were reviewed by experts to evaluate the effectiveness of blueprinting in the quality of the QPs. Methods: Based on the validated weightage of the biochemistry syllabus, each of the 10 faculty prepared a test blueprint, and set theory QPs without and with those test blueprints. The QPs were blinded and randomly allocated to 9 experts for evaluation. The test paper review score and feedback from both faculty and subject experts were statistically analyzed. Results: Reliability check of faculty feedback and review checklist of test papers validated its internal consistency. In all, 95% of participants expressed their agreement with various attributes of blueprinting and its future application in assessment. Statistically significant improvement (P < 0.005) was observed in the overall quality of the QPs with blueprinting. Conclusion: It was determined that blueprinting aligns objectives, content areas, and curriculum with assessment, thus improving reliability and content validity. Validated weightage of the biochemistry syllabus and blueprints for written examination were systematized. [ABSTRACT FROM AUTHOR]

George Rogers (1927–2021) was elected to Fellowship of the Academy in 1977 for his outstanding contributions to our knowledge of the molecular structure of keratins and the biochemistry of keratinisation. He was a pioneer in the application of electron microscopy to hair and wool ultrastructure and to that of the hair follicle. He discovered citrulline in keratin proteins, and the enzymes, roles, and histochemical localisation of transglutaminase and peptidylarginine deiminase (PAD). He was the first to demonstrate ribosomal-dependent keratin protein synthesis in 1965 followed by detailed studies of the biosynthesis of hair keratin proteins. His research initiated studies on the molecular events in the development of the feather follicle and later led to the cloning and characterisation of the clustered genes of feather and related avian keratins. He also cloned and characterised genes for the three classes of wool keratin proteins and studied the transcription of keratin genes. In 1977, he was awarded a DSc by the University of Adelaide in recognition for his work. In 2013, he was made an Officer in the Order of Australia. George's interest in science began at ten after his mother gave him a chemistry set and he became internationally renowned for the detailed structure and growth of hair and wool. This paper follows his achievements from pioneering electron microscopy work to the advent of gene cloning and DNA sequencing, when he cloned and characterised important genes in this field. Sixty years later, the applications of his discoveries continue whether in scientific research, forensic science, or medicine. [ABSTRACT FROM AUTHOR]

Simple Summary: Penile cancer is a rare and aggressive disease. Current treatment options when the cancer is locally advanced are suboptimal and potentially mutilating. Insight into the immune dysregulation necessary for the emergence of penile cancer could suggest innovative ways to manipulate the immune system which have already demonstrated efficacy in other, more common malignancies. In this paper, we use multiplex immunofluorescence, a novel technology, to investigate the immune microenvironment of penile cancer for the first time. We describe a pattern of immune exhaustion as cancer becomes more advanced and identify tumor-associated macrophages as a potential key player in regulating this process. Penile squamous cell carcinoma (PSCC) is a rare and deadly malignancy. Therapeutic advances have been stifled by a poor understanding of disease biology. Specifically, the immune microenvironment is an underexplored component in PSCC and the activity of immune checkpoint inhibitors observed in a subset of patients suggests immune escape may play an important role in tumorigenesis. Herein, we explored for the first time the immune microenvironment of 57 men with PSCC and how it varies with the presence of human papillomavirus (HPV) infection and across tumor stages using multiplex immunofluorescence of key immune cell markers. We observed an increase in the density of immune effector cells in node-negative tumors and a progressive rise in inhibitory immune players such as type 2 macrophages and upregulation of the PD-L1 checkpoint in men with N1 and N2-3 disease. There were no differences in immune cell densities with HPV status. [ABSTRACT FROM AUTHOR]

The combination of chemotherapy and photothermal therapy shows great potential in cancer treatment, and the carbon nanomaterials have been attracted great attention in biomedical technology. However, it is still a great challenge to design stimuli‐responsive nano‐carbon‐based drug release systems with integrated functions. In this paper, rod‐like carbon nanomaterials (RCNs) were prepared by the soft template hydrothermal method with glucose as raw materials, which were proved to have high photothermal efficiency (∼23.7%), as well as good biocompatibility and excellent drug‐loading capacity. After that, RCNs were used to load doxorubicin (DOX) as DOX@RCNs for integrated photothermal/chemotherapy towards cancer, which demonstrated 52.2% higher cancer cell killing efficiency than that of RCNs under near infrared (NIR) irradiation in vitro. The authors' approach provided a novel NIR‐responsive nano platform for combined photothermal/chemotherapy towards cancer, which was considered to be of great potential in anticancer applications. [ABSTRACT FROM AUTHOR]

Fetal alcohol spectrum disorder (FASD) is commonly misdiagnosed because of the complexity of presentation and multiple diagnostic criteria. FASD includes four categorical entities (fetal alcohol syndrome, partial fetal alcohol syndrome, alcohol related neurodevelopmental disorder, and alcohol related birth defects). The four FASD diagnostic criteria are facial dysmorphology, growth deficiency, central nervous system dysfunction, and prenatal alcohol exposure. Sensory processing disorders (SPDs) are common in FASD and are observed as inappropriate behavioral responses to environmental stimuli. These can be either a sensory-based motor disorder, sensory discrimination disorder, or sensory modulation disorder. A child with SPD may experience challenges with their fine motor coordination, gross motor coordination, organizational challenges, or behavioral regulation impairments. FASD requires a multidimensional approach to intervention. Although FASD cannot be cured, symptoms can be managed with sleep-based therapies, sensory integration, and cognitive therapies. This paper reviews SPDs in FASD and the interventions that can be used by practitioners to help improve their therapeutic management, although it is unlikely that any single intervention will be the right choice for all patients. [ABSTRACT FROM AUTHOR]

For the structure and functioning of bio-molecules, metals are important. The main focus of research remains the design and synthesis of novel metal-based complexes and metal ion binding to substances in search of novel medicines. Studies have established the well-defined geometry, thermodynamic stability and excellent coordination power of vanadium in different oxidation states. This paper summarizes the biological activities of vanadium complexes, particularly their anticancer activity. Future multidisciplinary research and analysis focused on comprehending the biochemistry of vanadium complexes with different ligands is required. [ABSTRACT FROM AUTHOR]

This paper presents novel baseline health parameters on the Española lava lizard (Microlophus delanonis). Blood samples and morphological measurements were taken on 51 lizards (21 males, 30 females) captured from three locations on the island of Española. Morphological parameters measured included body weight, snout–vent length, and temperature. Blood samples were analyzed approximately 8 h after collection using an i-STAT portable blood analyzer that measured hemoglobin, total CO2, glucose, lactate, sodium, potassium, and ionized calcium. Hematologic characterization data were obtained using standard laboratory techniques. There were significant differences found in snout–vent length, weight, heart rate, respiratory rate, total CO2, and heterophil percentage between males and females. The data presented herein can be used to monitor the health of this population of Española lava lizards as well as help to understand the health of a related species, the San Cristóbal lava lizard (Microlophus bivittatus), which faces different evolutionary pressures including the presence of humans and feral cats. This study continues to widen our understanding of the genus Microlophus; however, further research should characterize the remaining species that inhabit the islands in the Galápagos archipelago. [ABSTRACT FROM AUTHOR]

Metabolic pathway prediction and reconstruction play crucial roles in solving fundamental and applied biomedical problems. In the case of fundamental research, annotation of metabolic pathways allows one to study human health in normal, stressed, and diseased conditions. In applied research, it allows one to identify novel drugs and drug targets and to design mimetics (biomolecules with tailored properties), as well as contributes to the development of such disciplines as toxicology and nutrigenomics. It is important to understand the role of a metabolite as a substrate (the product or intermediate participant of an enzymatic reaction) in cellular signaling and phenotype implementation according to the pivotal paradigm of biology: "one gene–one protein–one function (one trait)". Due to the development of omics technologies, a vast body of data on the metabolome composition of living organisms has been accumulated over the past two decades. Systematization of the information on the roles played by metabolites in implementation of cellular signaling, as well as metabolic pathway reconstruction and refinement, have necessitated the development of bioinformatic tools for performing large-scale omics data mining. This paper reviews web-accessible databases relevant to metabolic pathways and considers the applications of the three types of bioinformatics methods for constructing metabolic networks (graphs for substrate–enzyme–product transformation; stoichiometric analysis of substrate–product transformation; and product retrosynthesis). It describes, step by step, a generalized algorithm for constructing biological pathway maps which explains to the researcher the workflow implemented in available bioinformatics tools and can be used to create new tools in projects requiring pathway reconstruction. [ABSTRACT FROM AUTHOR]

Background: Traditional problem-based learning (PBL) relying on tutored learning in small groups is very resource-intensive. Little is known about the benefits of PBL in a large classroom setting. This paper introduced a PBL case into the traditional didactic biochemistry course and investigated the acceptability of total online or partial online PBL in a large classroom setting introduced during the coronavirus pandemic. Methods: The students were allocated into either total online Group 1, partial online Group 2, or partial online and with poorer academic performance Group 3. A questionnaire comprising of 8 closed-ended questions and 2 open-ended questions and final exam performances were used to evaluate the acceptability of total online or partial online PBL in a large classroom setting. The 8 closed-ended questions were analysed by the Kruskal–Wallis test or chi-square tests. The word cloud analysis of the 2 open-ended questions were conducted by Wenjuanxing. Students' performances in the final examination were analysed by One-way Anova. Results: Both total online and partial online PBL were rated highly by the students. Overall, there were no significant differences in the effectiveness evaluation of PBL between Group 2 and Group 3. There were no significant differences in final exam performances between Group 1 and Group 2. However, Group 1 rated the effectiveness of PBL much higher than Group 2 and 3. Word cloud analysis of the 2 open-ended questions showed students' positive perspectives of PBL. In biochemistry teaching, from the perspective of the students, the expected optimal number of useful PBL cases might be 2. Conclusions: Both total online and partial online PBL in a large classroom setting were widely accepted as a beneficial supplement to traditional biochemistry classes. [ABSTRACT FROM AUTHOR]

Background: Cigarette smoking remains the leading cause of preventable disease and death in the United States. Primary care offers an ideal setting to reach adults who smoke cigarettes and improve uptake of evidence-based cessation treatment. Although U.S. Preventive Services Task Force Guidelines recommend the 5As model (Ask, Advise, Assess, Assist, Arrange) in primary care, there are many barriers to its implementation. Automated, comprehensive, and proactive tools are needed to overcome barriers. Our team developed and preliminarily evaluated a proactive electronic visit (e-visit) delivered via the Electronic Health Record patient portal to facilitate evidence-based smoking cessation treatment uptake in primary care, with promising initial feasibility and efficacy. This paper describes the rationale, design, and protocol for an ongoing Hybrid Type I effectiveness-implementation trial that will simultaneously assess effectiveness of the e-visit intervention for smoking cessation as well as implementation potential across diverse primary care settings. Methods: The primary aim of this remote five-year study is to examine the effectiveness of the e-visit intervention vs. treatment as usual (TAU) for smoking cessation via a clinic-randomized clinical trial. Adults who smoke cigarettes are recruited across 18 primary care clinics. Clinics are stratified based on their number of primary care providers and randomized 2:1 to either e-visit or TAU. An initial baseline e-visit gathers information about patient smoking history and motivation to quit, and a clinical decision support algorithm determines the best evidence-based cessation treatment to prescribe. E-visit recommendations are evaluated by a patient's own provider, and a one-month follow-up e-visit assesses cessation progress. Main outcomes include: (1) cessation treatment utilization (medication, psychosocial cessation counseling), (2) reduction in cigarettes per day, and (3) biochemically verified 7-day point prevalence abstinence (PPA) at six-months. We hypothesize that patients randomized to the e-visit condition will have better cessation outcomes (vs. TAU). A secondary aim evaluates e-visit implementation potential at patient, provider, and organizational levels using a mixed-methods approach. Implementation outcomes include acceptability, adoption, fidelity, implementation cost, penetration, and sustainability. Discussion: This asynchronous, proactive e-visit intervention could provide substantial benefits for patients, providers, and primary care practices and has potential to widely improve reach of evidence-based cessation treatment. Trial registration: NCT05493254. [ABSTRACT FROM AUTHOR]

Background: Osteoarthritis (OA), characterized by inflammation and articular cartilage degradation, is a prevalent arthritis among geriatric population. This paper was to scrutinize the novel mechanism of long noncoding RNA (lncRNA) NEAT1 in OA etiology. Methods: A total of 10 OA patients and 10 normal individuals was included in this study. Cell model of OA was built in human normal chondrocytes induced by lipopolysaccharide (LPS). An OA Wistar rat model was established through intra-articular injection of L-cysteine and papain mixtures (proportion at 1:2) into the right knee. Quantitative reverse transcription-polymerase chain reaction was employed to ascertain the expression levels of NEAT1, microRNA (miR)-374b-5p and post-GPI attachment to protein 1 (PGAP1), while dual-luciferase reporter experiments were used for the validation of target relationship among them. Cell cycle and apoptosis were calculated by flow cytometry analysis. CCK-8 assay was done to evaluate the proliferative potentials of chondrocytes. The levels of cell cycle-related proteins (Cyclin A1, Cyclin B1 and Cyclin D2) and pro-apoptotic proteins (Caspase3 and Caspase9) were measured by western blotting. Tumor necrosis factor-alpha (TNF-α), interleukin-1beta (IL-1β) and IL-6 levels were determined via ELISA. Hematoxylin & eosin (HE) Staining was used for pathological examination in OA rats. Results: Pronounced downregulation of NEAT1 and PGAP1 and high amounts of miR-374b-5p were identified in OA patients, LPS-induced chondrocytes and OA rats. NEAT1 targeted miR-374b-5p to control PGAP1 expression. Loss of NEAT1 or upregulation of miR-374b-5p dramatically accelerated apoptosis, led to the G1/S arrest and promoted the secretion of inflammatory cytokines in LPS-induced chondrocytes, while ectopic expression of PGAP1 exhibited the opposite influences on chondrocytes. Additionally, we further indicated that upregulation of miR-374b-5p attenuated the effects of PGAP1 overexpression on LPS-induced chondrocytes. Conclusions: Reduced NEAT1 induces the development of OA via miR-374b-5p/PGAP1 pathway. This suggests that the regulatory axis NEAT1/miR-374b-5p/PGAP1 is a novel and prospective target for OA treatment. [ABSTRACT FROM AUTHOR]

End of life care in dementia is important to avoid patients receiving unnecessary investigations and treatments. In this paper, the authors discuss the final stage of dementia, illustrating this with a case example reflecting what is frequently encountered in hospital practice. The distinction is drawn between 'terminal inanition' of dementia and the more protracted cachexia, sarcopenia and progressive frailty that accompanies advancing dementia, with best practice clinical care considerations for palliative care outlined. [ABSTRACT FROM AUTHOR]

The authors, a chemistry professor and a librarian, used a qualitative survey to assess student perceptions of a Wikipedia editing assignment that they included in a large upper-level biochemistry course. The assignment was initially intended as a public-facing alternative to a short research paper, emphasizing information literacy and scientific literacy. The goal of the survey was to use the results to enhance the assignment. The results of the survey and research for the literature review inspired a novel approach to the assignment using the perspective of metaliteracy. This approach encourages students to think critically about their role as scholars in a participatory environment. [ABSTRACT FROM AUTHOR]

A large number of medical experiments have confirmed that the features of drugs have a close correlation with their molecular structure. Drug properties can be obtained by studying the molecular structure of corresponding drugs. The calculation of the topological index of a drug structure enables scientists to have a better understanding of the physical chemistry and biological characteristics of drugs. In this paper, we obtain the exact formulas by virtue of the edge-partition method for m S O α (G) and K A (α , β) 1 (G). By the appropriate choice of parameters α and β , several new/old inequalities that reveal relationships between various topological indices are obtained. Our results remedy the lack of medicine experiments, thus providing a theoretical basis for pharmaceutical engineering. [ABSTRACT FROM AUTHOR]

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Licorice (Glycyrrhiza) is a medicinal and food homologue of perennial plants derived from the dried roots and rhizomes of the genus Glycyrrhiza in the legume family. In recent years, the comprehensive utilization of licorice resources has attracted people's attention. It is widely utilized to treat diseases, health food products, food production, and other industrial applications. Furthermore, numerous bioactive components of licorice are found using advanced extraction processes, which mainly include polyphenols (flavonoids, dihydrostilbenes, benzofurans, and coumarin), triterpenoids, polysaccharides, alkaloids, and volatile oils, all of which have been reported to possess a variety of pharmacological characteristics, including anti-oxidant, anti-inflammatory, antibacterial, antiviral, anticancer, neuroprotective, antidepressive, antidiabetic, antiparasitic, antisex hormone, skin effects, anticariogenic, antitussive, and expectorant activities. Thereby, all of these compounds promote the development of novel and more effective licorice-derived products. This paper reviews the progress of research on extraction techniques, chemical composition, bioactivities, and applications of licorice to provide a reference for further development and application of licorice in different areas. [ABSTRACT FROM AUTHOR]

Aims: Insulin resistance (IR) is an important risk factor for obesity and cardiometabolic diseases, and our previous findings have demonstrated that visceral fat area to skeletal muscle mass ratio (VSR) is significantly and positively associated with the risk of cardiometabolic diseases. Hence, this study aimed to investigate the relationship between VSR and multiorgan IR, provide a new approach to improve body composition, and set the basis for VSR to increase the incidence of cardiometabolic diseases. Materials and Methods: The study included 398 patients who underwent anthropometric and biochemical measurements, and body composition assessment. Spearman correlation analysis was used to investigate the correlation between VSR and homeostatic model assessment for insulin resistance (HOMA‐IR) as well as multiorgan IR, including homeostasis model assessment adiponectin (HOMA‐AD), adipose tissue insulin resistance (ADIPO‐IR), and hepatic insulin sensitivity (HISI). The new model that incorporated into the present study is made up of easily measured biochemical indicators and is used to predict IR. Logistic regression was used to analyze the odds ratio (OR) of VSR on the risk of multiorgan IR. The predictive value of VSR for HOMA‐IR and new model was evaluated using the receiver operating characteristic (ROC) curve. Results: VSR was significantly associated with HOMA‐IR, HOMA‐AD, ADIPO‐IR, 1/HISI, and new model (p < 0.001). With the increase of VSR, the OR increased significantly for HOMA‐IR and new model (p < 0.001). Then, multiorgan IR indicators were quantified, compared to the lowest quartile group, and increased VSR exacerbated the risk of IR in the highest quartile (ptrend < 0.001). The area under the curve for predicting IR using VSR for HOMA‐IR and new model was 0.88 for men, 0.85 for women and 0.73 for men, 0.76 for women, respectively. Conclusions: There was significant correlation between VSR and multiorgan IR, and the risk of multiorgan IR increased with increasing VSR. Trial Registration: Clinical Trial Registry identifier: ChiCTR2100044305. [ABSTRACT FROM AUTHOR]

Background: Charles Bonnet syndrome (CBS) is a condition in which people with vision loss experience complex visual hallucinations. These complex visual hallucinations may be caused by increased excitability in the visual cortex that are present in some people with vision loss but not others. Objectives: We aimed to evaluate the association between γ-aminobutyric acid (GABA) in the visual cortex and CBS. We also tested the relationship among visually evoked responses, functional connectivity, and CBS. Design: This is a prospective, case-controlled, cross-sectional observational study. Methods: We applied 3-Tesla magnetic resonance spectroscopy, as well as task-based and resting state (RS) connectivity functional magnetic resonance imaging in six participants with CBS and six controls without CBS. GABA+ was measured in the early visual cortex (EVC) and in the lateral occipital cortex (LOC). Participants also completed visual acuity and cognitive tests, and the North-East Visual Hallucinations Interview. Results: The two groups were well-matched for age, gender, visual acuity and cognitive scores. There was no difference in GABA+ levels between groups in the visual cortex. Most participants showed the expected blood oxygenation level dependent (BOLD) activation to images of objects and the phase-scrambled control. Using a fixed effects analysis, we found that BOLD activation was greater in participants with CBS compared to controls. Analysis of RS connectivity with LOC and EVC showed little difference between groups. A fixed effects analysis showed a correlation between the extent of functional connectivity with LOC and hallucination strength. Conclusion: Overall, our results provide no strong evidence for an association between GABAergic inhibition in the visual cortex and CBS. We only found subtle differences in visual function and connectivity between groups. These findings suggest that the neurochemistry and visual connectivity for people with Charles Bonnet hallucinations are comparable to a sight loss population. Differences between groups may emerge when investigating subtle and transient changes that occur at the time of visual hallucinations. Plain language summary: Brain imaging in Charles Bonnet syndrome In Charles Bonnet Syndrome (CBS), people with sight loss start to see hallucinations that they know are not real but can be disturbing. In this study we used MRI scanning to measure how the chemistry in the visual brain differs in people with CBS and those who have sight loss but no hallucinations. Surprisingly we did not find any differences in chemistry between these groups, suggesting that their brains do not differ greatly. Any differences in how their visual brain works may be too small to measure, or only present when people hallucinate. [ABSTRACT FROM AUTHOR]

Background: Access to essential diagnostics is crucial for primary healthcare (PHC) in low-and-middle income countries (LMICs). Many LMICs have invested in equipping PHC with point-of-care (PoC) diagnostics for infectious diseases, however there has been no similar investment to improve PHC capacities for clinical chemistry. The biochemistry gap is among the deterrents to universal health coverage. Methods: A social sciences project was conducted with the aim to understand the key PHC stakeholders' insights on the pertinence of PoC biochemistry for PHC in LMICs. Data generation was conducted between July-November 2023 in Mongolia, Nigeria and Peru. Decision-makers in healthcare delivery, healthcare professionals, and patient and community advocates were engaged using a combination of sampling techniques. Unstructured individual and group conversations, and non-participant observation were conducted. Analysis involved an inductive line-by-line coding on printed transcripts, followed by a deductive coding and theme-by-theme analysis on digitized transcripts. Results: Fifteen, 51 and 20 informants from Mongolia, Nigeria and Peru, respectively, participated. Fifty-five of the 94 informants were female. Most informants considered that PoC biochemistry in PHC would be pertinent, from a clinical and a resources-saving perspective. Those households that currently bear the burden of referrals (i.e., the poor, the bedridden, the older adults) would benefit the most from the deployment of PoC biochemistry for essential biochemistry parameters. Improved access to PoC glycated hemoglobin (HbA1c), lipid, liver and kidney profile was perceived as helpful to inform clinicians' decision-taking. The value of PoC biochemistry for the management of noncommunicable diseases (diabetes, hypertension) and infectious conditions (dengue, malaria, tuberculosis), to improve child health outcomes (severe dehydration in children with diarrhea and/or malnutrition) and to reduce preventable causes of death (dengue-related renal failure) was highlighted. Conclusions: PoC biochemistry holds potential to revert the impact that the biochemistry gap has for patient care in some LMICs' PHC settings. PoC equipment for parameters such as HbA1c, urea, creatinine or electrolytes could enhance community-level management of preventable causes of mortality, improve service delivery for patients affected by locally-prevalent infectious conditions, and improve the psychosocial and economic wellbeing of patients facing the burden of referrals to remote biochemistry-equipped centers. Trial Registration: Not applicable. [ABSTRACT FROM AUTHOR]

Background: Neuroinflammation is widely recognized as a key factor in the pathogenesis of Alzheimer's disease (AD), alongside ß-amyloid deposition and the formation of neurofibrillary tangles. The NLR family pyrin domain containing 3 (NLRP3) inflammasome, part of the innate immune system, has been implicated in the neuropathology of both preclinical amyloid and tau transgenic models. Activation of the NLRP3 pathway involves an initial priming step, which increases the expression of Nlrp3 and interleukin (IL)-1ß, followed by the assembly of the NLRP3 inflammasome complex, comprising NLRP3, ASC, and caspase-1. This assembly leads to the proteolytic maturation of the pro-inflammatory cytokines IL-1ß and IL-18. Additionally, the NLRP3 inflammasome induces Gasdermin D (GSDMD) cleavage, forming membrane pores through which IL-1ß and IL-18 are secreted. Inhibition of NLRP3 has been shown to enhance plaque clearance by modulating microglial activation. Furthermore, blocking NLRP3 in tau transgenic mice has been found to reduce tau phosphorylation by affecting the activity of certain tau kinases and phosphatases. Methods: In this study, organotypic brain slice cultures from P301S transgenic mice were treated with lipopolysaccharide (LPS) plus nigericin as a positive control or exposed to tau seeds (K18) to evaluate NLRP3 inflammasome activation. The effect of tau seeding on NLRP3 activity was further examined using Meso Scale Discovery (MSD) assays to measure IL1ß secretion levels in the presence and absence of NLRP3 inhibitors. The role of NLRP3 activity was investigated in fullbody Nlrp3 knockout mice crossbred with the tau transgenic P301S model. Additionally, full-body and microglia-selective Gsdmd knockout mice were crossbred with P301S mice, and tau pathology and neurodegeneration were evaluated at early and late stages of the disease using immunohistochemistry and biochemical assays. Results: Activation of the NLRP3 pathway was observed in the mouse organotypic slice culture (OSC) model following stimulation with LPS and nigericin or exposure to tau seeds. However, Nlrp3 deficiency did not mitigate tauopathy or neurodegeneration in P301S mice in vivo, showing only a minor effect on plasma neurofilament (NF-L) levels. Consistently, Gsdmd deficiency did not alter tau pathology in P301S mice. Furthermore, neither full-body nor microglia-selective Gsdmd deletion had an impact on neuronal pathology or the release of pro-inflammatory cytokines. Conclusion: The absence of key components of the NLRP3 inflammasome pathway did not yield a beneficial effect on tau pathology or neurodegeneration in the preclinical Tau-P301S mouse model of AD. Nonetheless, organotypic slice cultures could serve as a valuable ex vivo mechanistic model for evaluating NLRP3 pathway activation and pharmacological inhibitors. [ABSTRACT FROM AUTHOR]