Genetic factors play an important role in the pathogenesis of systemic lupus erythematosus, and abnormal TLR signaling pathways are closely related to the onset of SLE. In previous studies, we found that the mutant somatic nuclear autoantigenic sperm protein (sNASP) gene in the mouse lupus susceptibility locus Sle2 can promote the development of lupus model mice, but the mechanism is still unclear. Here, we stimulated mouse peritoneal macrophages with different concentrations of LPS. The results showed that sNASP gene mutations can promote the response of the TLR4-TAK1 signaling pathway, but have no significant effect on the TLR4-TBK1 signaling pathway. sNASP mutations enhanced TLR4-mediated NF-KB and MAPK activation and IL-6, TNF secretion in murine peritoneal macrophages. Collectively, our study revealed the impact of sNASP gene mutation on the sensitivity of TLR4 receptors in mouse peritoneal macrophages and shed light on potential mechanisms underlying inflammation in autoimmune diseases.

Limited axon regeneration following peripheral nerve injury may be related to activation of the lysosomal protease, asparaginyl endopeptidase (AEP, δ-secretase), and its degradation of the microtubule associated protein, Tau. Activity of AEP was increased at the site of sciatic nerve transection and repair but blocked in mice treated systemically with a specific AEP inhibitor, compound 11 (CP11). Treatments with CP11 enhanced axon regeneration in vivo. Amplitudes of compound muscle action potentials recorded four weeks after nerve transection and repair and two weeks after daily treatments with CP11 were double those of vehicle-treated mice. At that time after injury, axons of significantly more motor and sensory neurons had regenerated successfully and reinnervated the tibialis anterior and gastrocnemius muscles in CP11-treated mice than vehicle-treated controls. In cultured adult dorsal root ganglion neurons derived from wild type mice that were treated in vitro for 24 hours with CP11, neurites were nearly 50% longer than in vehicle-treated controls, and similar to neurite lengths in cultures treated with the TrkB agonist, 7,8-dihydroxyflavone (7,8-DHF). Combined treatment with CP11 and 7,8-DHF did not enhance outgrowth more than treatments with either one alone. Enhanced neurite outgrowth produced by CP11 was found also in the presence of the TrkB inhibitor, ANA-12, indicating that the enhancement was independent of TrkB signaling. Longer neurites were found after CP11 treatment in both TrkB+ and TrkB- neurons. Delta secretase inhibition by CP11 is a treatment for peripheral nerve injury with great potential.

Reservoir operations related to natural gas extraction, fluid disposal, carbon diox-ide storage, or geothermal energy production, are capable of inducing seismicity. Mod-eling tools have been developed that allow for quantitative forecasting of seismicity basedon operations data, but the computational cost of such models and the difficulty in rep-resenting various sources of uncertainties make uncertainty quantification challenging.We address this issue in the context of an integrated modeling framework, which com-bines reservoir modeling, geomechanical modeling, and stress-based earthquake forecast-ing. We use the Groningen gas field as a case example of application. The modeling frame-work is computationally efficient thanks to a 2-D finite-element reservoir model whichassumes vertical flow equilibrium, and the use of semi-analytical solutions to calculateporoelastic stress changes and predict seismicity rate. The earthquake nucleation modelis based on rate-and-state friction and allows for an initial strength excess so that thefaults are not assumed initially critically stressed. The model parameters and their un-certainties are estimated using either a Poisson or a Gaussian likelihood. We investigatethe effect of the likelihood choice on the forecast performance and we estimate uncer-tainties in the predicted number of earthquakes as well as in the expected magnitudes.We use a synthetic catalog to estimate the improved forecasting performance that wouldhave resulted from a better seismicity detection threshold. Finally, we use tapered andnon-tapered Gutenberg-Richter distributions to evaluate the most probable maximummagnitude over time and account for uncertainties in its estimation. We show that theframework yields realistic estimates of the seismicity model uncertainties and is appli-cable for operational forecasting or to design induced seismicity monitoring. It could alsoserve as a basis for probabilistic traffic-light systems.

Research in freely moving participants demonstrated that eye-movement related potentials (EMRPs) obtained during wireless EEG and eye-tracking can resolve low versus higher subjective value (SV) of products within 200 ms of first viewing. It remains unknown whether neural components underpinning SV are computed linearly or in distinct clusters. A limited stimulus value range may have prevented detection of linear discrimination of EMRP components by SV. The residual presence of oculomotor artefacts could have contributed to the lack of discrimination of EMRPs for individual SVs. The present study investigated whether EMRPs during product viewing would encode SVs linearly by expanding retail-value range and implementing guided-saccade artefacts removal. Participants viewed 216 product images in a mock-gallery. Continuous 64-channel wireless EEG and eye-tracking data were recorded. Willingness-to-pay was evaluated in an auction, categorising products by SV. Adaptive Spatial Filtering removed oculomotor artefacts from guided-saccade recordings. EMRPs were analysed using independent component (IC) and clustering analysis. Four ICs between 50 ̵̵ 230 ms resolved product SVs. One IC showed linearly decreasing activity paralleling increasing SV, with strongest activation for low-value. Other ICs responded preferentially to medium-value. ICs resolving early SVs (50 ̵̵ 60 ms) differentiated the low-value category from other categories. Cortical components elicited during free-viewing of products in quasi-naturalistic settings were mostly tuned to specific bands of SV with only one IC representing SV linearly. SVs appear to be formed automatically during initial product viewing and are represented on a coarse value grid, with the lowest SV products being processed earliest.

In this paper, we investigate the successful transmission probability of an aerial cellular network in which an unmanned aerial vehicle (UAV) as a Macrocell Base Station (UAV-BS) serves other UAVs as aerial users. The beamforming capable antennas are mounted on the UAVs, to increase the throughput of the network. The random effects of inner forces such as controlling errors or outer forces like the air conditions result in the random fluctuations. We assume Rician fading distribution over the links between the UAVs, then, we calculate the distribution of the channels under hovering fluctuations. Also, we derive the closed form expressions for successful transmission probability. Defining an optimization problem on the average successful transmission probability of the network, we obtain the best placement of UAV-BS along with the resource allocation. The problem turns out to be a non-convex problem and time consuming via numerical exhaustive search methods. Instead, we solve the optimization problem for its lower bound. Maximization problem for the achieved lower bound is equivalent to maximize the main problem. Then, we use some approximations to convert it to a low complex problem to find the solution. We use the entity of the low complex problem to obtain the allocated power for each UAV and in the following, the problem becomes convex which is solved by KKT conditions to obtain the location of UAV-BS. The theoretical results show that optimizing the lower bound probability achieves the suboptimal solution for power assignment and placement problem, which is verified by simulation results.

Deficits in sleep spindle activity in individuals with psychotic disorders could represent a neurobiological marker of (premorbid) attentional deficits and perceptual distortions that ultimately add to psychotic symptom formation. We analysed the links between sleep spindle activity and psychotic experiences and probed for the mediating roles of attentional performance and self-reported perceptual distortions in a community sample (N=70; mean age 26.33 (SD = 4.84)). Polysomnography was recorded during a 90-minute daytime nap and sleep spindle activity was detected using an automated algorithm. Duration, amplitude, and density from slow (10-13 Hz) and fast (13-16 Hz) sleep spindles were extracted. Attentional performance was assessed via subtests of the Test of Attentional Performance (TAP) and with an antisaccadic eye movement task. Psychotic experiences (i.e., paranoid thoughts; hallucinatory experiences) and perceptual distortions (i.e., anomalous perceptions; sensory gating deficits) were assessed via self-report questionnaires. We conducted sequential mediation analyses with sleep spindle activity as predictor, psychotic experiences as dependent variable, and attentional performance and perceptual distortions as mediators. We found reduced right central slow and fast sleep spindle amplitude to be associated with paranoid thoughts. Increased antisaccadic error rate was associated with anomalous perceptions and perceptual distortions were associated with psychotic experiences. We did not find significant mediation effects. The findings support the notion that reduced sleep spindle activity is involved in psychotic symptom formation and that decreased antisaccadic performance is indicative of perceptual distortions as potential precursors for psychotic experiences. However, further research is needed to corroborate the here proposed mediation hypothesis.

Mustard seeds have been used since ancient times contributing great economic value to global agriculture. Canada, one of the world’s top producers, grows three main mustard varieties, white /yellow, (Brassica hirta/ Sinapis alba), black (Brassica nigra) and Oriental (Brassica juncea). Besides their high protein and lipid content, mustard varieties are a rich source of phenolic compounds. This review will cover mustard seed components including lipids, glucosinolates, and sinapates. The latter are the main phenolic compounds in mustard and include sinapine, sinapic acid and its conversion to canolol. The important bioactivities associated with mustard phenolics, has led to efforts to improve the methods for their extraction. The use of green technology is crucial for producing these phenolics while minimizing any detrimental effects to the environment. The important antioxidant and anticancer activities of these phenolics will also be reviewed.

This article starts with the importance of electric power marketing systems, introduces the technical characteristics of data mining and its application status in electric power marketing systems, thereby providing decision-making basis for the economic operation of power grids. And propose using C5.0 decision tree algorithm to deeply analyze the marketing data of the electric power marketing management system. The original C5.0 decision tree algorithm is improved by introducing information entropy, which improves its classification speed and accuracy. Experimental results on UCI machine learning dataset and power marketing dataset show that the proposed improved C5.0 decision tree algorithm has good classification performance and can meet the classification and prediction requirements in power marketing work.

Deep forgery has been spreading quite quickly in recent years and continues to develop. The development of deep forgery has been used in films. This development and spread have begun to concern people about security, as well as being a threat to most companies and statesmen. Although deepfake videos are used for humor, they have also been used for malicious purposes. In this field, businessmen have been blackmailed that their speeches have been made in different ways by imitating the images of statesmen. Deep fraud detection procedures are carried out to prevent this threat. Deep forgery has outpaced deepfake detection processes. That’s why most platforms and companies have supported developers to help struggle deepfakes and rewarded them. This study is conducted to contribute this struggle, 3 different deepfake algorithms using Mesonet, Resnet and EfficientNet methods are used. Moreover, a new deepfake detection method is presented by combining them with Choquet Fuzzy Integral. The method we have proposed has taken 3 different algorithms that are good in their fields and collected the accuracy values that each algorithm can work alone, the fuzzy membership values under a single roof using Choquet Fuzzy Integral and thus has significantly increased the accuracy rate of deepfake detection by signing a study that has not been done before in the deepfake field. One of the contributions of the method we have proposed is to combine the algorithms that are trained in different data sets and detect in different ways and to use the areas where these algorithms are good in a single method. Experimental results using FaceForensics++, DFDC, Celeb-DF-v2 and DeepFake-TIMIT-HQ dataset show that the proposed approach based on Choquet fuzzy integral technique for deepfake classification outperforms single classifiers and achieves the highest accuracy of 97%. In this method, a more effective result can be achieved by using other effective models. More algorithms can be used in the method or can be replaced with new proposed method. We believe that the proposed method will inspire researchers and be further improved.

Clinical Needs Should Drive InnovationJennifer N. Avari Silva, MD1, 2, 3, 4Affiliations: 1Division of Pediatric Cardiology, Washington University School of Medicine, St. Louis, MO;2Department of Biomedical Engineering, McKelvey School of Engineering, Washington University in St. Louis, St. Louis, MO;3Sentiar, Inc, St. Louis, MO;4Excera, Inc, St. Louis, MOCorresponding Author:Jennifer N. Avari Silva, MD jennifersilva@wustl.eduDisclosures: I am the co-founder and co-inventor of Sentiar and Excera, Inc. The technology has been licensed from Washington University to both Sentiar and Excera.Words:Conflicts: I have no relevant conflicts of disclosure.The tried-and-true methodology for designing medical devices starts with product ideation and rapid prototyping. But the most vital step starts prior to product ideation—that is, identifying the unmet clinical need. Starting with clear identification of clinical need may take time to fully elucidate and, importantly, may change over time as clinical practices, medical knowledge, and scientific discoveries change the field. Developing tools to address these unmet needs is the goal for medical device developers. When we start with developing tools that address unmet needs, the tools inherently provide added value. Conversely, tools are often developed to implement new technologies without a clear understanding of the need being addressed. Often, these technologies are in search of a clinically relevant use case—these tools become proverbial hammers in search of nails.In this study from Kumthekar et al1 in this month’s JCE, we learn the results of early feasibility testing of PeriScope in an animal (porcine) study. PeriScope is a novel percutaneous access tool for epicardial access developed to aid in the implantation of epicardial cardiac implantable electronic devices (CIEDs) in both pediatric and congenital patients who require systems at a young age. The clinical conundrum is that young patients who need CIEDs will often require lifelong devices, with transvenous systems often being delayed into adolescence (or later) due to small stature, linear growth, and concerns for causing venous stenosis or occlusion2, 3. Additionally, patients with congenital heart disease often have abnormal vasculature and anatomy which may prohibit transvenous CIED systems4, 5 This clinical problem has been debated rigorously in the pediatric EP community, with reports of transvenous systems placed in some of our youngest and smallest of patients6. This has been a longstanding need in the pediatric and congenital community which members of this investigative team have spent years working towards7-10.The authors set out to address this issue by creating a tool to ease epicardial device lead placement, and the first step in this multistep plan is epicardial access. The current data presented by Kumthekar et al1 demonstrate the use of this tool in an immature porcine model (Yorkshire piglets) to test the implant procedure characteristics and efficiencies. Early results are promising, showing the time from skin nick to sheath access in the pericardium was <10 minutes with a mean total procedure time of 16 minutes. Lead characteristics were acceptable, though not excellent, speaking to the need to develop additional new tools. To address the long-term goal of minimally invasive epicardial device implantation, adjunctive technologies will need to be developed, including leads designed for implantation via a minimally invasive approach and tools to simplify minimally invasive generator implantation. Given the breadth of tools that will be required to meet this need, an academic-industry partnership may emerge as a viable path for co-development.As with all novel tools and procedures, there is a learning curve and PeriScope is no different. Even within this small study with 6 piglets, there was a learning curve for the operator with piglet #1 having a longer procedure time than the rest of the cohort. Understanding learning curves, or assessments of performance over experience, for new technologies/tools and procedures is itself an entire field of study11 which over time has created standard learning curve models for guidance with certain types of procedures, including laparoscopic surgical procedures. With PeriScope, there appeared to be a steep learning curve with increased competency after a short experience (n=1). More experience with a varied user group will be invaluable to determining the true learning curve for the device.Finally, like many innovations developed to a specific clinical need, creative physicians will find novel, often off-label, use cases for technologies that address their own clinical needs. With the growing performance of epicardial ablation, accessing the epicardial space is no longer a need relegated to pediatric and congenital device implants, but is now an emerging need in adult, pediatric and congenital ablation. These changing needs over time are to be expected and reflect advances in medical knowledge and scientific discovery.By nature, cardiac electrophysiologists are innovators. We are fortunate to practice our field at a time when there is an abundance of devices being developed and engineered to address the unmet clinical needs emerging as we learn more about mechanisms of various substrates and develop best practices. Our mission is to ensure that these novel devices are practical, useful and of benefit to us and our patients.References:1. Kumthekar RN OJ, Mass P, M JC, Berul CI. Percutaneous Epicardial Pacing in Infants Using Direct VIsualization: A Feasibility Animal Study. Journal of Cardiovascular Electrophysiology . 2023.2. Berul CI, Triedman JK, Forbess J, Bevilacqua LM, Alexander ME, Dahlby D, Gilkerson JO and Walsh EP. Minimally invasive cardioverter defibrillator implantation for children: an animal model and pediatric case report. Pacing Clin Electrophysiol . 2001;24:1789-94.3. Kwak JG, Kim SJ, Song JY, Choi EY, Lee SY, Shim WS, Lee CH, Lee C and Park CS. Permanent epicardial pacing in pediatric patients: 12-year experience at a single center. Ann Thorac Surg . 2012;93:634-9.4. Maginot KR, Mathewson JW, Bichell DP and Perry JC. Applications of pacing strategies in neonates and infants. Prog Pediatr Cardiol . 2000;11:65-75.5. Rao V, Williams WG, Hamilton RH, Williams MG, Goldman BS and Gow RM. Trends in pediatric cardiac pacing. Can J Cardiol . 1995;11:993-9.6. Konta L, Chubb MH, Bostock J, Rogers J and Rosenthal E. Twenty-Seven Years Experience With Transvenous Pacemaker Implantation in Children Weighing <10 kg. Circ Arrhythm Electrophysiol . 2016;9:e003422.7. Clark BC, Kumthekar R, Mass P, Opfermann JD and Berul CI. Chronic performance of subxiphoid minimally invasive pericardial Model 20066 pacemaker lead insertion in an infant animal model. J Interv Card Electrophysiol . 2020;59:13-19.8. Clark BC, Opfermann JD, Davis TD, Krieger A and Berul CI. Single-incision percutaneous pericardial ICD lead placement in a piglet model. J Cardiovasc Electrophysiol . 2017;28:1098-1104.9. Kumthekar RN, Opfermann JD, Mass P, Clark BC, Moak JP, Sherwin ED, Whitman T, Marshall M and Berul CI. Minimally invasive percutaneous epicardial placement of a prototype miniature pacemaker with a leadlet under direct visualization: A feasibility study in an infant porcine model. Heart Rhythm . 2019;16:1261-1267.10. Kumthekar RN, Opfermann JD, Mass P, Clark BC, Moak JP, Sherwin ED, Whitman T, Marshall M and Berul CI. Percutaneous epicardial placement of a prototype miniature pacemaker under direct visualization: An infant porcine chronic survival study. Pacing Clin Electrophysiol . 2020;43:93-99.11. Hopper AN, Jamison MH and Lewis WG. Learning curves in surgical practice. Postgrad Med J . 2007;83:777-9.

This article introduces briefly current status in type 2 diabetes (T2D) and an updated classical standardized comprehensive program which combines optimal medical treatment (OMT) with lifestyle modification, that is, intervention of RT-ABCDEFG (iRT-ABCDEFG) for control and prevention of T2D, and discusses its advantages and prospects. Here, G means goals, F follow-up, E examination, D disease & risk factors control, C changing unhealthy lifestyle & Chinese medicine or control the source of infection & cutting genetic or spreading pathways, B biohazard control, and A antagonistic treatment, such as anti-diabetic agents, the glucagon-like peptide-1 receptor (GLPR) agonists, the sodium-glucose cotransporter 2 (SGLT2) inhibitors, and the ultralong-acting, once-daily basal insulin. As an effective comprehensive program and strategy for Interventions of diabetes, this program can be used as a Reverse, Right, and Routine Treatment (iRT). Several pivotal goals which include less major adverse cardiocerebrovascular events (MACCE) and diabetic complications, less medical costs, longer life expectancy, lower morbidity and mortality, and higher quality of life, will be realized by consistently practicing this program due to early diagnosis, OMT, and lifestyle modification for overall prevention. Herein, this iRT-ABCDEFG program is worthy of recommending for clinical professional management and health care of T2D due to better cost-effectiveness.

Peptide drugs are developed from endogenous or synthetic peptides with specific biological activities. They have advantages of strong target specificity, high efficacy and low toxicity, thus showing great promise in the treatment of many diseases such as cancer, infections and diabetes. Although an increasing number of peptide drugs have entered market in recent years, the preparation of peptide drug substances is yet a bottleneck problem for their industrial production. Comparing to the chemical synthesis method, peptide biosynthesis has advantages of simple synthesis, low cost, and low contamination. Therefore, the biosynthesis technology of peptide drugs has been widely used for manufacturing. Herein, we reviewed the development of peptide drugs and recent advances in peptide biosynthesis technology, in order to shed a light to the prospect of industrial production of peptide drugs based on biosynthesis technology.

Blue sucker ( Cycleptus elongatus) occurs in the Mississippi River and Gulf of Mexico drainages of North America and is negatively affected by habitat fragmentation and flow regime alteration caused by dams. During fish assemblage surveys in August of 2022, we collected five specimens of juvenile blue sucker (312-428 mm total length) in the Angelina River upstream of Sam Rayburn Reservoir in east Texas (46,335-hectare surface area) where the occurrence of the species was previously unconfirmed. Given this unexpected finding, we (1) analyzed blue sucker mesohabitat associations to compare habitats we sampled with reports in the literature, and (2) reviewed blue sucker occurrence in state, national, and global databases across historical (1950-1980) and contemporary (1981-2022) periods to assess occurrence across gradients of habitat fragmentation and streamflow regulation. The blue sucker population in the Angelina River upstream of Sam Rayburn Reservoir was previously unconfirmed but is within the native range of the species. Mesohabitats occupied by blue sucker were consistent with literature reports, including fast velocity, shallow depth, and coarse substrates. The low degree of regulation (19% of natural runoff stored by upstream reservoirs) and a high degree of habitat connectivity (287 rkm of mainstem habitat) for the Angelina River upstream of Sam Rayburn Reservoir matched range-wide patterns of persistence within relatively intact (unfragmented and unregulated) or remnant (fragmented but unregulated) riverscapes. Our review reveals that blue sucker populations might persist (1) in remnant river fragments where local habitat templates are appropriate and (2) where effects of habitat fragmentation and flow regulation are not coupled.

Chytridiomycosis caused by the fungal pathogen Batrachochytrium dendrobatidis (Bd) is a major driver of amphibian decline worldwide. The global presence of Bd is driven by a synergy of factors, such as climate, species life history, and amphibian host susceptibility. Here, using a Bayesian data-mining approach, we modelled the epidemiological landscape of Bd to evaluate how the infection varies across several spatial, ecological, and phylogenetic scales. We compiled global information on Bd occurrence, climate, species ranges, and phylogenetic diversity to infer the potential distribution and prevalence of Bd. By calculating the degree of co-distribution between Bd and our set of environmental and biological variables (e.g., climate and species), we identified which factors could potentially be related to Bd presence and prevalence using a geographic correlation metric, epsilon (ε). We fitted five ecological models based on: i) amphibian species identity, ii) phylogenetic species variability values for a given species assemblage, iii) temperature, iv) precipitation, and v) all variables together. Our results extend the findings of previous studies by identifying the epidemiological landscape features of the presence of Bd. This ecological modelling framework allowed us to generate explicit spatial predictions for Bd prevalence at global scale and a ranked list of species with high/low probability of Bd presence. Our geographic model was able to identify areas with high potential for Bd prevalence as potential risk areas and areas with low potential Bd prevalence as potential refuges (free Bd). At the amphibian assemblage level, we found a non-relationship with amphibian phylogenetic signals, but a significantly negative correlation between observed species richness and Bd prevalence indicated a potential dilution effect at the landscape scale. Our model may identify potential susceptible species and areas at risk of Bd presence which could be used to prioritize regions for amphibian conservation efforts and assess species and assemblage risk

This paper proposes a design method of low temperature co-fired ceramic(LTCC) diplexer, which is used to separate GPS and ISM band signals, achieves high iso lation and miniaturization, and can be used in electronic consumer products. The diplexer is composed of a low-pass filter and a band-pass filter. The antenna sep arates the received mixed signals according to frequency bands, and enters their respective processing modules through two output ports. The size of the diplexer is 1.6mm*0.8mm*0.6mm, the insertion loss is less than 0.6dB for GPS 1.575GHz appli cation, the isolation is greater than 26dB, and the insertion loss is less than 0.6dB for ISM 2.4/5GHz application, the isolation is greater than 37dB. Compared with the reported LTCC diplexer, the features of this diplexer are that the lower channel occupies a smaller volume at lower frequency, and the higher channel maintains low insertion loss in a wider bandwidth, and the passbands of the two filters are close but still have high isolation.

Gyrodactylus is a lineage of monogenean flatworm ectoparasites exhibiting many features that make them a suitable model to study their co-evolution with fish hosts. Previous co-evolutionary studies of this lineage mainly relied on low-power datasets (a small number of samples and a single molecular marker), and (now) outdated algorithms. To investigate the coevolutionary relationship of gyrodactylids and their fish hosts in high resolution, we used complete mitogenomes (including two newly sequenced Gyrodactylus species), a large number of species in the single-gene dataset, and four different coevolutionary algorithms. The overall co-evolutionary fit between the parasites and hosts was consistently significant. Multiple indicators support gyrodactylids as highly host-specific parasites, but few gyrodactylids can parasitize either multiple (more than 5) or phylogenetically-distant fish hosts. The molecular dating results indicate they tend to evolve towards high host specificity. Speciation by host-switching is a more important speciation mode than co-speciation for them. Assuming the origin on Cypriniformes, we inferred four major host switch events to non-Cypriniformes hosts (mostly Salmoniformes) occurred deep in the evolutionary history. Despite their relative rarity, these events had strong macroevolutionary consequences for gyrodactylid diversity. For example, in our dataset, 57.28% of all studied gyrodactylids parasitised only non-Cypriniformes hosts, which implies that the evolutionary history of more than half of all included lineages could be traced back to these major host switch events. Geographical co-occurrence of fishes and gyrodactylids determined the host use by these gyrodactylids, and geography accounted for most of the phylogenetic signal in host use.

Proteins such as enzymes perform their function by predominant non-covalent bond interactions between transiently interacting units. There is an impact on the overall structural topology of the protein, albeit transient nature of such interactions, that enable proteins to deactivate or activate. This aspect of the alteration of the structural topology is studied by employing protein structural networks, which are node-edge representative models of protein structure, reported as a robust tool for capturing interactions between residues. Several methods have been optimised to collect meaningful, functionally relevant information by studying alteration of structural networks. In this article, different methods of comparing protein structural networks are employed, along with spectral decomposition of graphs to study the subtle impact of protein-protein interactions. A detailed analysis of the structural network of interacting partners is performed across a dataset of around 900 pairs of bound complexes and corresponding unbound protein structures. The variation in network parameters at, around and far away from the interface are analysed. Finally, we present interesting case studies, where an allosteric mechanism of structural impact is understood from communication-path detection methods. The results of this analysis are beneficial in understanding protein stability, for future engineering and docking studies.

Trimethylamine monooxygenase ( Tmm, EC-1.14.13.148) belongs to the family of flavin-containing monooxygenases (FMOs) that oxidize trimethylamine into trimethylamine-N-oxide (TMAO). Conventional methods for assaying Tmm are accurate over a narrow range of substrate/ product concentrations. Here we report a TMAO-specific enzymatic assay for Tmm using polyallylamine hydrochloride (PAHCl)-capped MnO 2 nanoparticles (PAHCl@MnO 2). We achieved TMAO specificity using iodoacetonitrile to remove interfering trimethylamine. The change in the concentration of TMAO is measured by observing the difference in the absorbance of 3,3´,5,5´-tetramethylbenzidine (TMB) at 652 nm. The assay is tolerant to several interfering metal ions and other compounds. This method is more reliable and easier than currently known methods. The limit of detection (LOD) and limit of quantitation (LOQ) are 1 µM and 10 µM, respectively, for direct TMAO measurement.

Understanding human interactions demands modelling human-environment interactions. This study uses remote sensing and machine learning to evaluate land use and land cover (LULC) changes over 27 years in Dar es Salaam Metropolitan City, Tanzania, and the spatially varying relationships between LULC changes and socioeconomic driving factors. LULC change values and factors are retrieved from data points generated by regular sampling methods. The geographically weighted regression (GWR) model is then employed to analyse the relationships between LULC changes and the identified factors. The analysis of LULC changes reveals a dynamic transformation in land cover between 1995 and 2022, characterised by a notable 14.9% increase in built-up areas and a corresponding decline of 14.6% in bushland. 65.8% of the land cover experiences gains and losses, while 34.2% remains relatively stable over the 27 years. The GWR model surpasses the OLS model, achieving an R2 value of 0.73, signifying a strong association between LULC changes and the identified socioeconomic factors, explaining 73% of the LULC variation. Additionally, the influences of these factors, including the signs, significances, and coefficient values, exhibit considerable variations across different LULC change types. Notably, population density and proximity to the city centre significantly contribute to LULC changes, whereas the impact of gross domestic product and distance to roads is comparatively lesser. Moreover, poverty does not significantly drive LULC changes. This study’s findings suggest that urbanisation and urban sprawl, as indicated by population density and distance from the city centre, significantly influence land cover changes in the study area.

In a rapidly changing environment, because of habitat loss and fragmentation, many plant species have become rare. We investigate genetic variability between two small isolated populations of twinflower from the Eastern Alps and three population from the core Boreal distributional range. The results revealed three main clusters, exemplars from the Boreal range are present in all three clusters. Very low genetic variation within the two isolated Alpine populations and very high genetic variation between the two Alpine populations was found, despite their being only 73 km apart. Moreover, a low proportion of distinct genotypes were found in the Alpine populations in comparison to the Northern one. We conclude that the two isolated Alpine populations are both glacial relict populations, based on the high genetic variability between them, probably due to consecutive bottlenecks and long-term isolation under specific environmental conditions. However, glacial relicts, usually associated with vulnerable habitats deserve urgent attention involving conservation countermeasures especially from the perspective of climate change.

IntroductionCardiac lipomas account for about 10% of all primary benign cardiac tumors. Lipomas are composed of mature adipocytes and can form in any part of the heart. Lipomas are encapsulated and well surrounded tumors, and often they are benign and slow growing. Most lipomas occur in the right atrium or left ventricle. Lipomas originating from the sub-endocardium can cause obstruction, and those originating from the myocardium can cause arrhythmias. And in sub-epicardial cases, they can cause pressure on the coronary arteries or the pericardial space. Cardiac lipomas are usually asymptomatic and are therefore often found incidentally. In symptomatic cases, the patient’s symptoms depend on the location of the mass and obstruction in the cavities or valves of the heart.(1, 2)

Aim Long-acting cabotegravir and rilpivirine have been approved to manage HIV in adults, but data regarding safe use in pregnancy are limited. Physiologically-based pharmacokinetic modelling (PBPK) can predict drug disposition in complex populations. Approved dosing regimens were simulated in pregnancy to explore if Ctrough was maintained above target concentrations (664 ng/ml and 50 ng/ml respectively). Methods An adult PBPK model was developed and validated using clinical data of cabotegravir and rilpivirine in non-pregnant adults. This was modified by incorporating pregnancy-induced metabolic and physiological changes. The pregnancy PBPK model was validated with data on oral rilpivirine and raltegravir (UGT1A1 probe substrate) in pregnancy. Acceptance criteria for both adult and pregnancy models was absolute average-fold error (AAFE) < 2 between clinical and simulated values. The pregnancy PBPK model was used to simulate 12 weeks’ disposition of monthly and bimonthly dosing of long-acting cabotegravir and rilpivirine, initiated at different trimesters. Results Models were successfully qualified with all AAFE values below 2. Predicted Ctrough at week 12 for both monthly and bimonthly long-acting cabotegravir was above 664 ng/ml throughout pregnancy. Similarly, predicted Ctrough at week 12 for monthly long-acting rilpivirine was above 50 ng/ml throughout pregnancy. However, for bimonthly rilpivirine administration, predicted Ctrough at week 12 were <50 ng/ml in 1, 0.5, and 2.3% of the pregnant population when initiated in first, second, and third trimester respectively. Conclusion Model predictions suggest monthly and bimonthly long-acting cabotegravir is likely to maintain antiviral efficacy throughout pregnancy. However, bimonthly long-acting rilpivirine requires careful clinical evaluation in pregnancy.

INTRODUCTION: Paroxetine is an antidepressant belonging to the class of SSRI. It is used in multiple psychiatric disorders including depression, anxiety and obsessive-compulsive disorder. Apart from being very efficacious, it causes some adverse effects too and hyponatremia is one of them. The association between the two is not well established, which makes this case worth of attention. CASE PRESENTATION: A 52 years old male hypertensive patient was brought to the ER after having an episode of seizure. Hyponatremia due to an unknown cause was made a provisional diagnosis. He was then referred to the psychiatric department for further assessment, where his detailed history was taken and mental state examination was performed. The patient was found to be suffering from chronic depression. The patient has been taking a combination of antipsychotics and antidepressants for this condition. Paroxetine, Olanzapine and Quetiapine were prescribed to him by his psychiatrist 10 years back, and since then he was taking it daily. His current medication was then immediately altered and paroxetine was replaced by mirtazapine. DISCUSSION/ CONCLUSION: Numerous studies have been done on the effects of SSRIs, but very few of them mentioned their association with hyponatremia. Electrolyte imbalances are common with many medications including antiepileptic and antidepressant drugs as well. Although some literature has shown the link between the two, drug induced hyponatremia remained one of the rarest adverse effect. In summary, paroxetine is very effective in the management of depression but its long-term use could result in an electrolyte imbalance in hypertensive patients

Background: Interleukin-23 (IL-23) inhibitors are widely used in clinical practice for Psoriasis , but multiple adverse events (AEs) have been reported. We aimed to describe the distribution of AEs related IL-23 inhibitors including Guselkumab, Tildrakizumab, Risankizumab, Ustekinumab. Methods: Data from January 1, 2014, to September 30, 2022 were extracted from the FDA Adverse Event Reporting System (FAERS). Disproportionality analysis including reporting odds ratio (ROR) and information component (IC) was performed to access potential signals. It was defined a signal when the lower limit of 95% confidence interval (CI) of ROR (ROR025) more than one or IC(IC025) exceeding zero, with the number of cases greater than or equal to three at the same time. Results: A total of 41,408,408 drug-AE reports were extracted from the FAERS database involving 13271168 people. 704, 13164, 62853, 11399 patients have used Tildrakizumab, Guselkumab, Ustekinumab, Risankizumab and 8, 20, 107 and 115 signals were found respectively. The “infections and infestations” has the highest incidence of SOC in Tildrakizumab(6/8), Guselkumab(5/20), Ustekinumab(50/107), Risankizumab(25/115). Conclusion: Our pharmacovigilance analysis showed that a high frequency was reported for AEs triggered by IL-23 inhibitors. IL-23 inhibitors had the potential to impair immune function resulting in a risk of infections or cancers. We need to pay special attention to Risankizumab because the drug has more AE occurrences than Ustekinumab despite Risankizumab has few reports than Ustekinumab and launched later than Ustekinumab.