Designing of a multi-epitopes based vaccine against Haemophilius parainfluenzae and its validation through integrated computational approaches.

Haemophilus parainfluenzae is a Gram-negative opportunist pathogen within the mucus of the nose and mouth without significant symptoms and has an ability to cause various infections ranging from ear, eye, and sinus to pneumonia. A concerning development is the increasing resistance of H. parainfluenzae to beta-lactam antibiotics, with the potential to cause dental infections or abscesses. The principal objective of this investigation is to utilize bioinformatics and immuno-informatic methodologies in the development of a candidate multi-epitope Vaccine. The investigation focuses on identifying potential epitopes for both B cells (B lymphocytes) and T cells (helper T lymphocytes and cytotoxic T lymphocytes) based on high non-toxic and non-allergenic characteristics. The selection process involves identifying human leukocyte antigen alleles demonstrating strong associations with recognized antigenic and overlapping epitopes. Notably, the chosen alleles aim to provide coverage for 90% of the global population. Multi-epitope constructs were designed by using suitable linker sequences. To enhance the immunological potential, an adjuvant sequence was incorporated using the EAAAK linker. The final vaccine construct, comprising 344 amino acids, was achieved after the addition of adjuvants and linkers. This multi-epitope Vaccine demonstrates notable antigenicity and possesses favorable physiochemical characteristics. The three-dimensional conformation underwent modeling and refinement, validated through in-silico methods. Additionally, a protein-protein molecular docking analysis was conducted to predict effective binding poses between the multi-epitope Vaccine and the Toll-like receptor 4 protein. The Molecular Dynamics (MD) investigation of the docked TLR4-vaccine complex demonstrated consistent stability over the simulation period, primarily attributed to electrostatic energy. The docked complex displayed minimal deformation and enhanced rigidity in the motion of residues during the dynamic simulation. Furthermore, codon translational optimization and computational cloning was performed to ensure the reliability and proper expression of the multi-Epitope Vaccine. It is crucial to emphasize that despite these computational validations, experimental research in the laboratory is imperative to demonstrate the immunogenicity and protective efficacy of the developed vaccine. This would involve practical assessments to ascertain the real-world effectiveness of the multi-epitope Vaccine.

Incidence and Risk of Secondary Malignancy in Patients with Waldenström Macroglobulinemia: A Population-Based Analysis.

Waldenström macroglobulinemia (WM) is a rare lymphoplasmacytic lymphoma which may predispose individuals to development of secondary malignancies (SMs). The Surveillance, Epidemiology, and End Results (SEER) database is a comprehensive registry of cancer patients in the United States reporting on a wide set of demographic variables. Using the SEER-18 dataset, analyzing patients from 2000 to 2018, we aimed to assess the incidence of SMs in WM patients. Patient characteristics such as gender, age, race, and latency were identified, and respective standardized incidence ratios (SIRs) and absolute excess risks (AERs) were calculated to compare to the general population. Of the 4,112 eligible WM patients identified, SMs were reported in 699 (17%) patients. The overall risk of developing SM, second primary malignancy, and secondary hematological malignancy was significantly higher in WM patients compared to the general population. Our findings show that WM patients had a 53% higher risk of SMs relative to the general population, and an AER of 102.69 per 10,000. Although the exact mechanism is unclear, the risk of SM development may be due to genetic predisposition, immune dysregulation, or treatment-induced immune suppression.

External validation of the computer aided risk scoring system in predicting in-hospital mortality following emergency medical admissions.

BACKGROUND: Clinical prediction models have the potential to improve the quality of care and enhance patient safety outcomes. A Computer-aided Risk Scoring system (CARSS) was previously developed to predict in-hospital mortality following emergency admissions based on routinely collected blood tests and vitals. We aimed to externally validate the CARSS model. METHODS: In this retrospective external validation study, we considered all adult (≥18 years) emergency medical admissions discharged between 11/11/2020 and 11/11/2022 from The Rotherham Foundation Trust (TRFT), UK. We assessed the predictive performance of the CARSS model based on its discriminative (c-statistic) and calibration characteristics (calibration slope and calibration plots). RESULTS: Out of 32,774 admissions, 20,422 (62.3 %) admissions were included. The TRFT sample had similar demographic characteristics to the development sample but had higher mortality (6.1 % versus 5.7 %). The CARSS model demonstrated good discrimination (c-statistic 0.87 [95 % CI 0.86-0.88]) and good calibration to the TRFT dataset (slope = 1.03 [95 % CI 0.98-1.08] intercept = 0 [95 % CI -0.06-0.07]) after re-calibrating for differences in baseline mortality (intercept = 0.96 [95 % CI 0.90-1.03] before re-calibration). CONCLUSION: In summary, the CARSS model is externally validated after correcting the baseline risk of death between development and validation datasets. External validation of the CARSS model showed that it under-predicted in-hospital mortality. Re-calibration of this model showed adequate performance in the TRFT dataset.

Irinotecan dosing and pharmacogenomics: a comprehensive exploration based on UGT1A1 variants and emerging insights.

Irinotecan is a critical anticancer drug used to treat metastatic colorectal cancer and advanced pancreatic ductal adenocarcinoma by obstructing topoisomerase 1; however, it can cause minor-to-severe and life-threatening adverse effects. UDP glucuronosyltransferase family 1 member A1 (UGT1A1) polymorphisms increase the risk of irinotecan-induced neutropenia and diarrhea. Hence, screening for UGT1A1 polymorphisms before irinotecan-based chemotherapy is recommended to minimize toxicity, whereas liposomes offer the potential to deliver irinotecan with fewer side effects in patients with pancreatic ductal adenocarcinoma. This review presents a comprehensive overview of the effects of genotype-guided dosing of irinotecan on UGT1A1*28 and UGT1A1*6 variants, incorporating pharmacogenomic research, optimal regimens for metastatic colorectal and pancreatic cancer treatment using irinotecan, guidelines for toxicity reduction, and an evaluation of the cost-effectiveness of UGT1A1 genotype testing.

Assessing Metal Exposure and Leaching from Discarded Cigarette Butts: Environmental Analysis and Integrated Waste Management Approaches.

Cigarette butts, often discarded as litter, are considered a common form of waste, containing a variety of pollutants within this hazardous residue. This study, which was designed to assess the environmental release of certain metals from cigarette butts, investigates a variety of scenarios under varying climatic conditions. Thus, in order to assess the level of metal contamination, samples of cigarette butts were collected in urban areas from seven popular brands in China, smoked artificially, and examined through graphite furnace atomic absorption (GF-AAS). The findings indicated mean concentrations of 1.77 for Cr, 2.88 for Ni, 12.93 for Cu, 24.25 for Zn, and 1.77 µg/g for Pb in the case of newly smoked butts. The emission of each of the metals increases to 8-10% when cigarette butts remain in the environment for an extended period of time. Furthermore, rainfall can accelerate metal leaching, reaching values of 18-20% compared to the controlled scenario. The worst-case scenario releases 2129.31 kg/year of metals into the environment, while the best-case scenario sees a lower release of 844.97 kg/year. The data reflect variations in metal emissions across different scenarios. There was also a strong correlation between cigarette butts in public spaces and cities. This research highlights the need to educate smokers and increase urban maintenance efficiency to reduce this litter and the metals it leaches into the environment.

Accuracy of automated computer-aided risk scoring systems to estimate the risk of COVID-19: a retrospective cohort study.

BACKGROUND: In the UK National Health Service (NHS), the patient's vital signs are monitored and summarised into a National Early Warning Score (NEWS) score. A set of computer-aided risk scoring systems (CARSS) was developed and validated for predicting in-hospital mortality and sepsis in unplanned admission to hospital using NEWS and routine blood tests results. We sought to assess the accuracy of these models to predict the risk of COVID-19 in unplanned admissions during the first phase of the pandemic. METHODS: Adult ( > = 18 years) non-elective admissions discharged (alive/deceased) between 11-March-2020 to 13-June-2020 from two acute hospitals with an index NEWS electronically recorded within ± 24 h of admission. We identified COVID-19 admission based on ICD-10 code 'U071' which was determined by COVID-19 swab test results (hospital or community). We assessed the performance of CARSS (CARS_N, CARS_NB, CARM_N, CARM_NB) for predicting the risk of COVID-19 in terms of discrimination (c-statistic) and calibration (graphically). RESULTS: The risk of in-hospital mortality following emergency medical admission was 8.4% (500/6444) and 9.6% (620/6444) had a diagnosis of COVID-19. For predicting COVID-19 admissions, the CARS_N model had the highest discrimination 0.73 (0.71 to 0.75) and calibration slope 0.81 (0.72 to 0.89) compared to other CARSS models: CARM_N (discrimination:0.68 (0.66 to 0.70) and calibration slope 0.47 (0.41 to 0.54)), CARM_NB (discrimination:0.68 (0.65 to 0.70) and calibration slope 0.37 (0.31 to 0.43)), and CARS_NB (discrimination:0.68 (0.66 to 0.70) and calibration slope 0.56 (0.47 to 0.64)). CONCLUSIONS: The CARS_N model is reasonably accurate for predicting the risk of COVID-19. It may be clinically useful as an early warning system at the time of admission especially to triage large numbers of unplanned admissions because it requires no additional data collection and is readily automated.

New ridge parameter estimators for the quasi-Poisson ridge regression model.

The quasi-Poisson regression model is used for count data and is preferred over the Poisson regression model in the case of over-dispersed count data. The quasi-likelihood estimator is used to estimate the regression coefficients of the quasi-Poisson regression model. The quasi-likelihood estimator gives sub-optimal estimates if regressors are highly correlated-multicollinearity issue. Biased estimation methods are often used to overcome the multicollinearity issue in the regression model. In this study, we explore the ridge estimator for the quasi-Poisson regression model to mitigate the multicollinearity issue. Furthermore, we propose various ridge parameter estimators for this model. We derive the theoretical properties of the ridge estimator and compare its performance with the quasi-likelihood estimator in terms of matrix and scalar mean squared error. We further compared the proposed estimator numerically through a Monte Carlo simulation study and a real-life application. We found that both the simulation and application results show the superiority of the ridge estimator, particularly with the best ridge parameter estimator, over the quasi-likelihood estimator in the presence of multicollinearity issue.

Prevalence and Biopsychosocial Factors Associated With a Current Episode of Low Back Pain Among Adults With a Previous History of Low Back Pain: A Cross-sectional Study of Market Traders in an African Population.

Low back pain (LBP) is the leading cause of years lived with disability globally, with Nigeria having one of the greatest burdens. A current episode of LBP is important in Nigeria, but the associated factors are unknown. This cross-sectional study investigated the prevalence, biomechanical, and psychosocial factors associated with a current episode of LBP among 700 adult market traders with previous LBP in an urban Nigerian population. Descriptive, bivariate, and multivariate analyses were conducted. The prevalence of a current episode of LBP was 76.4%. Factors associated with an increased risk of a current episode of LBP in a decreasing order of importance were exposure to biomechanical factors (aggregate [total] score) (odds ratio [OR] = 1.535; 95% confidence interval [CI] = 1.398-1.685); anxiety (OR = 1.182; 95% CI = 1.089-1.282); fear-avoidance beliefs (physical activity) (OR = 1.139; 95% CI = 1.029-1.261); fear-avoidance beliefs (work) (OR = 1.105; 95% CI = 1.047-1.165); while factors associated with a reduced risk of a current episode of LBP were ability to take breaks in the job in addition to scheduled breaks (OR = .430; 95% CI = .240-.773) and ability to control the order and pace of tasks (OR = .477; 95% CI = .236-.965). Occupational biomechanical and psychosocial factors were associated with a current episode of LBP in logistic regression models explaining 52.7% and 73.1% of the variation in a current episode of LBP. Occupational biomechanical factors, particularly handling large and bulky objects at arm's length and kneeling and squatting, produced the greatest risk of a current episode of LBP. PERSPECTIVE: Occupational biomechanical factors, occupational psychosocial factors, and personal psychosocial factors such as anxiety and fear-avoidance beliefs are associated with a current episode of LBP in Nigeria. Pragmatic public health and occupational health initiatives that modify exposure to these factors may be required in Nigeria.

RuBisCO activity assays: a simplified biochemical redox approach for in vitro quantification and an RNA sensor approach for in vivo monitoring.

BACKGROUND: Ribulose-1,5-bisphosphate carboxylase/oxygenase (RuBisCO) is the most abundant soluble protein in nature. Extensive studies have been conducted for improving its activity in photosynthesis through approaches like protein engineering. Concurrently, multiple biochemical and radiolabeling assays have been developed for determining its activity. Although these existing assays yield reliable results, they require addition of multiple external components, rendering them less convenient and expensive. Therefore, in this study, we have developed two relatively cheaper, convenient, and easily reproducible assays for quantitative and qualitative estimation of RuBisCO activity. RESULTS: We simplified a contemporary NADH based spectrophotometric RuBisCO assay by using cyanobacterial cell lysate as the source for Calvin cycle enzymes. We analyzed the influence of inorganic carbon substrates, CO2 and NaHCO3, and varying protein concentrations on RuBisCO activity. Ribulose-1,5-bisphosphate (RuBP) consumption rates for the cultures grown under 5% CO2 were 5-7 times higher than the ones grown with 20 mM NaHCO3, at different protein concentrations. The difference could be due to the impaired activity of carbonic anhydrase in the cell lysate, which is required for the conversion of HCO3- to CO2. The highest RuBisCO activity of 2.13 nmol of NAD+/ µg of Chl-a/ min was observed with 50 µg of protein and 5% CO2. Additionally, we developed a novel RNA-sensor based fluorescence assay that is based on the principle of tracking the kinetics of ATP hydrolysis to ADP during the conversion of 3-phosphoglycerate (3-PG) to 1,3-bisphosphoglycerate (1,3-BPG) in the Calvin cycle. Under in vitro conditions, the fluorometric assay exhibited  ~ 3.4-fold slower reaction rate (0.37 min-1) than the biochemical assay when using 5% CO2. We also confirmed the in vivo application of this assay, where increase in the fluorescence was observed with the recombinant strain of Synechocystis sp. PCC 6803 (SSL142) expressing the ADP-specific RNA sensor, compared to the WT. In addition, SSL142 exhibited three-fold higher fluorescence when supplemented with 20 mM NaHCO3 as compared to the cells that were grown without NaHCO3 supplementation. CONCLUSIONS: Overall, we have developed a simplified biochemical assay for monitoring RuBisCO activity and demonstrated that it can provide reliable results as compared to the prior literature. Furthermore, the biochemical assay using 5% CO2 (100% relative activity) provided faster RuBP consumption rate compared to the biochemical assay utilizing 20 mM NaHCO3 (30.70% relative activity) and the in vitro fluorometric assay using 5% CO2 (29.64% relative activity). Therefore, the absorbance-based biochemical assay using 5% CO2 or higher would be suitable for in vitro quantification of the RuBisCO activity. On the other hand, the RNA-sensor based in vivo fluorometric assay can be applied for qualitative analysis and be used for high-throughput screening of RuBisCO variants. As RuBisCO is an enzyme shared amongst all the photoautotrophs, the assays developed in this study can easily be extended for analyzing the RuBisCO activities even in microalgae and higher plants.

Proportion of Antipsychotics with CYP2D6 Pharmacogenetic (PGx) Associations Prescribed in an Early Intervention in Psychosis (EIP) Cohort: A Cross-Sectional Study.

BACKGROUND: Prescribing drugs for psychosis (antipsychotics) is challenging due to high rates of poor treatment outcomes, which are in part explained by an individual's genetics. Pharmacogenomic (PGx) testing can help clinicians tailor the choice or dose of psychosis drugs to an individual's genetics, particularly psychosis drugs with known variable response due to CYP2D6 gene variants ('CYP2D6-PGx antipsychotics'). AIMS: This study aims to investigate differences between demographic groups prescribed 'CYP2D6-PGx antipsychotics' and estimate the proportion of patients eligible for PGx testing based on current pharmacogenomics guidance. METHODS: A cross-sectional study took place extracting data from 243 patients' medical records to explore psychosis drug prescribing, including drug transitions. Demographic data such as age, sex, ethnicity, and clinical sub-team were collected and summarised. Descriptive statistics explored the proportion of 'CYP2D6-PGx antipsychotic' prescribing and the nature of transitions. We used logistic regression analysis to investigate associations between demographic variables and prescription of 'CYP2D6-PGx antipsychotic' versus 'non-CYP2D6-PGx antipsychotic'. RESULTS: Two-thirds (164) of patients had been prescribed a 'CYP2D6-PGx antipsychotic' (aripiprazole, risperidone, haloperidol or zuclopenthixol). Over a fifth (23%) of patients would have met the suggested criteria for PGx testing, following two psychosis drug trials. There were no statistically significant differences between age, sex, or ethnicity in the likelihood of being prescribed a 'CYP2D6-PGx antipsychotic'. CONCLUSIONS: This study demonstrated high rates of prescribing 'CYP2D6-PGx-antipsychotics' in an EIP cohort, providing a rationale for further exploration of how PGx testing can be implemented in EIP services to personalise the prescribing of drugs for psychosis.

Geographic and Racial Disparities in Chimeric Antigen Receptor-T Cells and Bispecific Antibodies Trials Access for Diffuse Large B-Cell Lymphoma.

BACKGROUND: We investigate the geographical and racial disparities in accessing CAR-T and bispecific antibodies trials for DLBCL. MATERIALS AND METHODS: ClinicalTrials.gov was searched, and 75 trials with at least 1 open site in the US were included. 2020 US Census Bureau data was used to obtain data on race and ethnicity. SPSS version 26 was used for analysis. RESULTS: There were 62 CAR-T and 13 bispecific antibodies trials with 6221 enrolled or expected to enroll patients. Eighty-five percent of the clinical trials were only open in the US, and the majority 64% were pharmaceutical-funded. There were 126 unique study sites distributed over 31 states with 11 (0-51) mean number of trials per state and 4.5 (1-26) and 4.4 (1-24) mean number of CAR-T and bispecific antibodies trials per site, respectively. Southern states had the most number of trials 31%, followed by Midwestern 25%, Northeastern 24%, and Western 20%. The highest number of study locations were in California 13, New York 9, and Pennsylvania 9, while the highest number of open studies were in California 51, Texas 32, and New York 23. Twenty states had no open CAR-T or bispecific antibodies trials. Only 33% of African Americans (AA) lived in a county with a trial, and 7 out of 10 states with the highest proportion of AA residents (18.6%-41.4%) have no or less than 4 trial sites. Of the 62 counties analyzed, 92% were White predominant, while only 8% were AA predominant (P = .009). CONCLUSIONS: Strategies should be framed to address the observed disparities and to improve access.

Fumaria indica (Hausskn.) Pugsley Hydromethanolic Extract: Bioactive Compounds Identification, Hypotensive Mechanism, and Cardioprotective Potential Exploration.

Fumaria indica (Hausskn.) Pugsley (FIP), a member of the Papaveraceae family, has a documented history of use in traditional medicine to treat cardiovascular ailments, particularly hypertension, and has shown substantial therapeutic efficacy among native cultures worldwide. However, the identification of bioactive compounds and the mechanism of hypotensive effect with the cardioprotective potential investigations are yet to be determined. The study aimed to identify bioactive compounds, explore the hypotensive mechanism and cardioprotective potential, and assess the safety of Fumaria indica (Hausskn.) Pugsley hydromethanolic extract (Fip.Cr). LC ESI-MS/MS analysis was performed to identify the bioactive compounds. In vitro experiments were conducted on isolated rat aorta and atria, and an in vivo invasive BP measurement model was used. Acute and subacute toxicities were assessed for 14 and 28 days, respectively. Isoproterenol (ISO) was used to develop the rats' myocardial infarction damage model. The mRNA levels of NLRP3 inflammasome and the abundance level of Firmicutes and Lactobacillus were measured by qRT-PCR. The hypotensive effect of FIP bioactive compounds was also investigated using in silico methods. Fip. Cr LC ESI-MS/MS analysis discovered 33 bioactive compounds, including alkaloids and flavonoids. In isolated rat aorta, Fip.Cr reversed contractions induced by K+ (80 mM), demonstrating a calcium entry-blocking function, and had a vasorelaxant impact on phenylephrine (PE) (1 µM)-induced contractions unaffected by L-NAME, ruling out endothelial NO participation. Fip.Cr caused negative chronotropic and inotropic effects in isolated rat atria unaffected by atropine pretreatment, eliminating cardiac muscarinic receptor involvement. Safety evaluation showed no major adverse effects. In vivo, invasive BP measurement demonstrated a hypotensive effect comparable to verapamil. Fip.Cr protected the rats from ISO-induced MI interventions significantly in biometrical and cardiac serum biochemical indicators and histological examinations by reducing inflammation via inhibiting NLRP3 inflammasome and elevating Firmicutes and Lactobacillus levels. The network pharmacology study revealed that the FIP hypotensive mechanism might involve MMP9, JAK2, HMOX1, NOS2, NOS3, TEK, SERPINE1, CCL2, and VEGFA. The molecular docking study revealed that FIP bioactive compounds docked better with CAC1C_ HUMAN than verapamil. These findings demonstrated that Fip.Cr's hypotensive mechanism may include calcium channel blocker activity. Fip.Cr ameliorated ISO-induced myocardial infarction in rats by attenuating inflammation, which might be via inhibiting NLRP3 inflammasome and may prove beneficial for treating MI.

Polyherbal extract improves glycometabolic control in alloxan-induced diabetic rats via down-regulating the MAPK/JNK pathway, modulating Nrf-2/Keap-1 expression, and stimulating insulin signaling.

Objectives: This study focused on the evaluation of antioxidant and antidiabetic activities of polyherbal extract (PHE), containing Cassia absus (L.), Gymnema sylvestre (R. Br.), Nigella sativa (L.), and Piper nigrum (L.), in alloxan-induced diabetes model. Materials and Methods: In vitro, HPLC characterization, DPPH scavenging assay, and α-amylase inhibition test were conducted. In vivo, acute oral toxicity of PHE was assessed. Alloxan-induced diabetic Wistar rats (n=6) were orally treated with PHE (200, 400, and 600 mg/kg/day) and glibenclamide (GLB; 10 mg/kg/day) for six consecutive weeks. Then, biochemical biomarkers, oxidative stress parameters, histopathological examination, and mRNA expression levels (RT-qPCR) were determined. Results: The presence of polyphenols in PHE was confirmed in correlation to marked DPPH scavenging (IC50: 1.60 mg/ml) and α-amylase inhibition (IC50: 0.82 mg/ml). PHE demonstrated no toxicity in rats up to a dose of 2000 mg/kg. In diabetic rats, PHE dose-dependently ameliorated the serum levels of glucose, insulin, glycated hemoglobin A1c (HbA1c), leptin, and glucokinase (GCK). Also, PHE substantially alleviated serum inflammatory markers (TNF-α and CRP) and oxidative stress indicators (MDA, SOD, and CAT) in pancreatic tissues. PHE, particularly at 600 mg/kg, attenuated cellular oxidative stress via modulating the mRNA expression levels of genes regulating MAPK/JNK (Mapk-8, Traf-4, and Traf-6) and Nrf-2/Keap-1 pathways and promoted insulin signaling through up-regulating insulin signaling cascade (Pdx-1, Ins-1, and Ins-2), as compared to GLB. Furthermore, histopathological findings supported the aforementioned results. Conclusion: Our study suggests that polyherbal extract has promising antioxidant and antidiabetic activities by modulating the MAPK/JNK, Nrf-2/Keap-1, and insulin signaling pathways.

Assessment of antiarthritic potential of Asparagus dumosus using formaldehyde and CFA-induced arthritic models in rats via modulation of oxidative stress biomarkers and mRNA expression of IL-1b, IL-6, RANKL, OPG, TNF-α and COX-2.

Medicinal plants play a pivotal role in the prevention of chronic non-communicable diseases including arthritis. Despite the traditional use of Asparagus dumosus in arthritis, it has not been studied yet for its effectiveness in arthritis. This study was aimed to explore the antiarthritic potential of A. dumosus in formaldehyde and complete Freund's adjuvant (CFA)-induced arthritic rats. Body weight, arthritic index, hepatic oxidative stress, hematological, biochemical and inflammatory markers were assessed using ELISA, whilst qRT-PCR studies were carried out for the mRNA expression of IL-1b, IL-6, RANKL, OPG, TNF-α and COX-2 genes. GCMS and HPLC analysis were performed to identify the secondary metabolites of A. dumosus. From day 8 to 28 post-administration of formaldehyde and CFA, oral administration of A. dumosus (600, 300 and 150 mg/kg) showed a noteworthy improvement (p < 0.001) in the body weights, immune organ weights, serum levels of rheumatoid (RA) factor, C-reactive protein, TNF-α and IL-6 levels in arthritic rats similar to the effect of piroxicam and methotrexate. Subsequently, the administration of A. dumosus to formaldehyde and CFA-challenged rats, caused a marked decrease (p < 0.001) in the mRNA expression of IL-1b, IL-6, OPG, RANKL, TNF-α and COX-2 genes in treated rats. Likewise, when assessed for antioxidant potential, A. dumosus produced a pronounced (p < 0.001) reduction in malondialdehyde (MDA) levels and hydrogen peroxide (H2O2) production, whilst a dose-dependent (p < 0.001) increase in catalase (CAT) and superoxide dismutase (SOD) activities was recorded. GCMS profiling of A. dumosus presented benzaldehyde, 3-hydroxy-4-methoxy-, 1-decanol and undecane as plant compositions, whereas HPLC fingerprinting displayed quercetin, benzaldehyde, 3-hydroxy-4-methoxy-, gallic acid and cinnamic acid as plants constituents. These results depict that A. dumosus possesses anti-arthritic effect mediated possibly through attenuation of arthritic indices, chronic inflammatory and oxidative stress biomarkers along with down-regulation in the mRNA expression of arthritic candid genes.

Catalytic degradation of rhodamine blue and bactericidal action of AgBr and chitosan-doped CuFe2O4 nanostrucutres evidential molecular docking analysis.

The harmful cationic dyes present in industrial waste significantly decrease the effectiveness of remedy operations. Considering the horrendous impact of these dyes on the environment and biodiversity, silver bromide (AgBr) and chitosan (CS) doped copper ferrite (CuFe2O4) nanostructures (NSs) were prepared by the co-precipitation route. In this work, The surface characteristics of CuFe2O4 can be altered by CS, potentially enhancing its catalytic reaction compatibility. The functional groups in CS interact with the surface of CuFe2O4, influencing its catalytic behavior. AgBr can have an impact on the dynamics of charge carriers in the composite. Better charge separation and transfer which is essential for catalytic processes. The catalytic degradation of RhB was significantly enhanced (100 %) using 4 wt% of AgBr-doped CS-CuFe2O4 catalysts in a basic medium. The significant inhibitory zones (9.25 to 17.95 mm) inhibitory in maximum doses were seen against Gram-positive bacteria (S. aureus). The bactericidal action of AgBr/CS-doped CuFe2O4 NSs against DNA gyraseS.aureus and tyrosyl-tRNAsynthetase S. aureus was rationalized using molecular docking studies, which supported their function as inhibitors.

Thromboelastography characteristics in critically ill patients with liver disease.

OBJECTIVE: The purpose of this study was to determine how thromboelastography (TEG) parameters differ by various clinical conditions that commonly occur in patients with cirrhosis, including sepsis, acute on chronic liver failure (ACLF), alcohol-associated hepatitis (AAH) and portal vein thrombosis (PVT). BACKGROUND: TEG, a whole blood assay, is used to assess several parameters of coagulation and is becoming increasingly used in clinical practice. STUDY: This study was a retrospective chart review of 155 patients admitted to the ICU with decompensated cirrhosis from 2017 to 2019. RESULTS: The R time was significantly shorter in patients when they were septic compared to when they were not and longer in patients with vs. without ACLF grade 3. Alpha angle and maximum amplitude was decreased in patients with severe AAH compared to those without severe AAH; and maximum amplitude was increased in patients with acute PVT compared to those with chronic PVT. R time was positively correlated with Chronic Liver Failure Consortium Organ Failure and Chronic Liver Failure Consortium ACLF scores (rho = 0.22, P = 0.020), while alpha angle and maximum amplitude were negatively correlated with MELD-NA. CONCLUSION: Findings suggest TEG parameters vary in several clinical conditions in patients with decompensated cirrhosis who are admitted to the ICU. Prospective research is needed to confirm our findings and to determine how this knowledge can be used to guide clinical practice, as well as blood product transfusions in the setting of bleeding or prior to invasive procedures.

Fabrication and characterization of a rapid-response, ultrasensitive dual-head interferometric pressure sensor.

A novel, to the best of our knowledge, dual-head Michelson interferometer-based pressure sensor with ultrahigh sensitivity and rapid response has been fabricated and optimized. The sensor consists of two diaphragm-based sensing heads, which operate on the principle of path-length variations of the interferometers due to the effect of pressure variation within the pressure channel. Pressure has been measured independently by the heads in terms of the fringe counts across two photodetectors with different sensitivities and working ranges. Head 1 had a linear working range of 0-6 psi and a sensitivity, resolution, and response time of 1295.04 fringe counts/psi, 25.74 µpsi, and 0.86 ms, respectively, which were 2.46, 2.46, and 0.86 times better than those of head 2. However, head 2 had a larger working range of 0-15 psi. Heads 1 and 2 yielded repeatable responses with negligible hysteresis and an average absolute error of 0.55% and 0.58%, respectively, compared to the predicted results. The proposed sensor has great potential for use in laboratory and industrial nonintrusive precise and fast-response pressure sensing applications.

A review on toxicity of nanomaterials in agriculture: Current scenario and future prospects.

Phytonanotechnology plays a crucial part in the production of good quality and high-yield food. It can also alter the plant's production systems, hence permitting the efficient, controlled and stable release of agrochemicals such as fertilizers and pesticides. An advanced understanding of nanomaterials interaction with plant responses like localization and uptake, etc. could transfigure the production of crops with high disease resistance and efficient nutrients utilization. In agriculture, the use of nanomaterials has gained acceptance due to their wide-range applications. However, their toxicity and bioavailability are the major hurdles for their massive employment. Undoubtedly, nanoparticles positively influence seeds germination, growth and development, stress management and post-harvest handling of vegetables and fruits. These nanoparticles may also cause toxicity in plants through oxidative stress by generation of excessive reactive oxygen species thus affecting the cellular biomolecules and targeting different channels. Nanoparticles have shown to exert various effects on plants that are mainly affected by various attributes such as physicochemical features of nanomaterials, coating materials for nanoparticles, type of plant, growth stages and growth medium for plants. This article discusses the interaction, accretion and toxicity of nanomaterials in plants. The factors inducing nanotoxicity and the mechanisms followed by nanomaterials causing toxicity are also instructed. At the end, detoxification mechanism of plant is also presented.