Genetic polymorphism of Β-casein gene and its association with milk production and composition in Azi-Kheli buffalo.

The aim of this study was to find out the genetic polymorphism in ß-casein gene CSN2 in Azi-Kheli buffaloes found in district Swat. Blood samples from 250 buffaloes were collected and processed in lab for sequencing to see the genetic polymorphism in CSN2 gene on 67 position of exon7. The ß-casein is a milk second abundant protein having some variants, wherein A1 and A2 are the most common. After performing sequence analysis, it was found that Azi-Kheli buffaloes were homozygous for only A2 type variant. The amino acid change (proline to histadine) on 67 position of exon 7 was not found; however, three other novel SNPs at loci g.20545A > G, g.20570G > A, and g.20693C > A were identified in the study. Amino acid change due to SNPs were found as SNP1, valine > proline; SNP2, leucin > phenylalanine; and SNP3, threonine > valine. Allelic and genotypic frequencies' analysis exhibited that all three SNPs were following the Hardy-Weinberg equilibrium (HWE: P < 0.05). All the three SNPs showed medium PIC value and gene heterozygosity. The SNPs located on different position of exon 7 of CSN2 gene exhibited associations with some of the performance traits and milk composition. Higher daily milk yield of 9.86 ± 0.43 L and the peak milk yield of 13.80 ± 0.60 L were found in response to SNP3 followed by SNP2 and SNP1. The percentage of milk fat and protein was found significantly higher (P ≤ 0.05) in relation to SNP3 followed by SNP2 and SNP1 given as 7.88 ± 0.41, 7.48 ± 0.33, and 7.15 ± 0.48 for fat% and 4.00 ± 0.15, 3.73 ± 0.10 and 3.40 ± 0.10 for protein%. It was concluded that Azi-Kheli buffalo milk contains A2 genetic variant along with other useful novel variants indicating quality milk for human health. Genotypes of SNP3 should be given preference in selection both in indices and nucleotide polymorphism.

Sub-micro scale cell segmentation using deep learning.

Automated cell segmentation is key for rapid and accurate investigation of cell responses. As instrumentation resolving power increases, clear delineation of newly revealed cellular features at the submicron through nanoscale becomes important. Reliance on the manual investigation of myriad small features retards investigation; however, use of deep learning methods has great potential to reveal cell features both at high accuracy and high speed, which may lead to new discoveries in the near term. In this study, semantic cell segmentation systems were investigated by implementing fully convolutional neural networks called U-nets for the segmentation of astrocytes cultured on poly-l-lysine-functionalized planar glass. The network hyperparameters were determined by changing the number of network layers, loss functions, and input image modalities. Atomic force microscopy (AFM) images were selected for investigation as these are inherently nanoscale and are also dimensional. AFM height, deflection, and friction images were used as inputs separately and together, and the segmentation performances were investigated on five-fold cross-validation data. Transfer learning methods, including VGG16, VGG19, and Xception, were used to improve cell segmentation performance. We find that AFM height images inherit more discriminative features than AFM deflection and AFM friction images for cell segmentation. When transfer-learning methods are applied, statistically significant segmentation performance improvements are observed. Segmentation performance was compared to classical image processing algorithms and other algorithms in use by considering both AFM and electron microscopy segmentation. An accuracy of 0.9849, Matthews correlation coefficient of 0.9218, and Dice's similarity coefficient of 0.9306 were obtained on the AFM test images. Performance evaluations show that the proposed system can be successfully used for AFM cell segmentation with high precision.

Transcriptional regulation of adipogenic marker genes for the improvement of intramuscular fat in Qinchuan beef cattle.

The intramuscular fat content plays a crucial role in meat quality traits. Increasing the degree of adipogenesis in beef cattle leads to an increase in the content of intramuscular fat. Adipogenesis a complex biochemical process which is under firm genetic control. Over the last three decades, the Qinchuan beef cattle have been extensively studied for the improvement of meat production and quality traits. In this study, we reviewed the literature regarding adipogenesis and intramuscular fat deposition. Then, we summarized the research conducted on the transcriptional regulation of key adipogenic marker genes, and also reviewed the roles of adipogenic marker genes in adipogenesis of Qinchuan beef cattle. This review will elaborate our understanding regarding transcriptional regulation which is a vital physiological process regulated by a cascade of transcription factors (TFs), key target marker genes, and regulatory proteins. This synergistic action of TFs and target genes ensures the accurate and diverse transmission of the genetic information for the accomplishment of central physiological processes. This information will provide an insight into the transcriptional regulation of the adipogenic marker genes and its role in bovine adipogenesis for the breed improvement programs especially for the trait of intramuscular fat deposition.

Screening of phytochemical constituents and potential antioxidant, antibacterial and anticancerous activities of Carpesium nepalense seeds oil.

The pharmacological importance and ecofriendly nature of medicinal plants holding a unique edge in the arena of pharmaceutical industries. Therefore, the current research was aimed to evaluate the phytochemical constituents and potential antioxidant, in vitro anticancer and antibacterial activity of Carpesium nepalense seeds essential oil. The analysis performed through Gas chromatography/Mass spectroscopy confirmed the presence of different types of biologically active compounds. At the concentration of 500µg/mL, n-hexane fraction of C. nepalense showed highly significant (P<0.001) antioxidant activity in 2,2-diphenyl-1-picrylhydrazyl, 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid and superoxide assays with the percentage inhibitions of 86.60±1.6%, 82.55±1.0% and 80.50±1.0% respectively. The extract also produced highly significant anticancerous activity against different cell lines at 500µg/mL. The significant antibacterial activity of extract was observed against bacterial strains with the zone of inhibitions of 24.3±0.8, 28.20±0.10, 22.33±0.11 and 33.22±0.10 mm respectively. The significant damage in bacterial cell membranes was also observed in atomic force microscopic analysis. In the light of obtained findings, it is concluded that C. nepalence proved to be a potential candidate as an alternative medicinal agent.

Correlation of serum levels of Vitamin D3 with serum parathormone in nursing mothers and infants 1-6 months' age from South Punjab, Pakistan.

BACKGROUND AND OBJECTIVE: Parathormone (PTH) and serum Vitamin D3 (VD3) share a complex interplay where increased VD3 leads to a negative response on parathormone level. Our objective was to determine the correlation of parathormone (PTH) and Vitamin D3 (VD3) levels in nursing mothers and infants 1-6 months' age from South Punjab, Pakistan. METHODS: This study is a secondary data analysis of previously conducted cross sectional study which was conducted at the Department of Pediatric Medicine, Nishtar Medical University, Multan, during August 2010 to June 2011. Study included 67 infants 1-6 months of age and 60 nursing mothers. A venous blood sample was drawn for estimation of VD3, calcium, phosphate, alkaline phosphatase, parathormone and albumin. Spearman correlation coefficient was calculated to determine the inverse correlation between PTH and VD3 levels. RESULTS: Mean age (in days) of the infants was 83±53.7 days whereas maternal mean age was 25.53 ± 4.12 years. Median VD3 level in infants was 20.90 ng/ml (IQR - 49.5). Median serum PTH levels were 20.90 pg/ml (IQR - 26.17). Median VD3 level in nursing mothers was 21.0 ng/ml (IQR 7.2- 43.8). Median maternal serum PTH levels were 20.89 pg/ml (IQR 2.9 - 232.4). Substantial negative relation between VD3 and parathormone in infants and mothers was not evident (r = - 0.027, p-value 0.83) and (r = 0.156, p-value 0.23) respectively. A significant positive association between infant and maternal VD3 was observed (rs -0.55, p-value < 0.001). CONCLUSION: Our study affirms that the customary negative correlation between VD3 and parathormone levels does not exist.

Synthesis and characterization of Schiff base of nicotinic hydrazide as antibacterial agent along with in vivo wound healing activities and atomic force microscopic study of bacterial cell wall affected by synthesized compound.

The present work reports the synthesis of Schiff base series of nicotinic hydrazide (C-1-C-5) and it's antibacterial and wound healing evaluation. The synthetic molecules were characterized with different spectroscopic techniques and explored for their antibacterial potential. The objective of this work was to explore antimicrobial agent using two types of microorganisms, one Gram-positive (S. aureus ATCC 9144) and one Gram-negative (E. coli ATCC 10536). C-2, C-4 and C-5 potentially inhibit bacterial growth (p<0.001). Atomic force microscopy (AFM) imaging was obtained to get high-resolution images of the effect of treated drugs on the bacterial morphology. The images obtained also revealed the antibacterial effects of potent molecule. The magnified pictures captured under AFM suggest significantly damaged cell surface and disturbed morphology. The compounds were further analyzed for in vivo wound healing potential on mice. The compound C-2, C-4 and C-5 heal the wounds comparatively in less time duration as compared to control group (p<0.001). Compound C-1 and C-3 took more time to heal the wound as compare to compound C-2, C-4 and C-5. The re-epithelialization process of wound in animals group treated with potent compound was highly significant (p<0.001) and faster than control. Results of this study suggest that the compounds C-2, C-4 andC-5 possess pronounced antibacterial and wound healing potential and need to be further evaluated for mechanism of action.

Comparative study of antibacterial activity between Schiff base nicotinic hydrazide derivative and its silver architected nanoparticles with atomic force microscopic study of bacterial cell wall.

The threat of multi-drug resistant bacterial pathogens evokes researchers to synthesized safe and effective chemotherapeutic agents for nano-drug delivery system. In current study, Schiff base of nicotinic hydrazide(NHD) and its silver nanoparticles(NHD-AgNPs) were synthesized and characterized. These compounds were investigated for cytotoxicity, antibacterial and AFM activity. The NHD showed LD50 at >1000µg/mL while NHD-AgNPs didn't exhibit toxicity at 1000µg/mL against 3T3 cell line. The NHD showed zone of inhibition against two strains of salmonella enteric (ATCC 14028 and 700408) 45.29±1.66 and 48.01±1.43mm respectively at 160µg/mL (p<0.01) while NHD-AgNPs exhibited 55.87±2.08 and 52.88±1.42 mm respectively at 130µg/mL (p<0.001) in disc diffusion method. NHD showed more than 70% growth inhibition for both strains at 85 and 125µg/ml (p<0.01) respectively, while NHD-AgNPs inhibit 80% and 75% respectively at 75 and 125 µg/ml (p<0.01, p<0.001) against Alamar blue antibacterial assay. For morphological changes in bacterial cell wall NHD and NHD-AgNPs treated bacterial cells were observed under atomic force microscope(AFM) and treated bacterial cells were severely damaged with leaked cytoplasmic contents as compare to untreated bacterial cell. These results validate that NHD-AgNPs were highly active as compared to NHD against both strains at their MIC concentrations. In future, comparative wound healing potential will be emphasized.

GC/MS assisted phytochemical analysis of Ajuga parviflora leaves extract along with anti-hepatotoxic effect against anti-tubercular drug induced liver toxicity in rat.

Owing to its traditional applications, the current study focuses on Ajuga parviflora (A. parviflora) leaves extract for phytochemical and pharmacological analysis. The principle constituents were identified through gas chromatography (GC), and gas chromatography/mass spectroscopy (GC/MS), these includes phthalic acid, squalene, α-tocopherol, vitamin E, phytol, 2-methylenecholestan-3-ol, stigmasterol, cholest-22-ene-21-ol and 3,5-dehydro-6-methoxy. Hepatoprotective effect of A. parviflora was evaluated through isoniazid and rifampicin (INH and RFP) induced hepatotoxicity in rat. Animals in group A were treated with INH and RFP 50 mg/kg. Animals in group B, C, and D were pre-treated with A. parviflora extract at 100, 200 and 300 mg/kg dose prior drug administration. A. parviflora extract at 200 and 300 mg/kg in group C and D significantly reduced aspartate aminotransferase (AST), alanine aminotransferase (ALT), alkaline phosphatase (ALP), and bilirubin (p<0.001) as compare to group B (100mg/kg). Total protein (TP) was also significantly (p<0.01) reduced in group C and D at dose of 200 and 300 mg/kg, respectively. The extract pre-treated animals with (A. parviflora, 200, and 300 mg/kg) showed that the epithelium of the central portal vein is intact with replete glucagon. The pre-treatment with A. parviflora protected the liver from INH and RFP induced hepatotoxicity. The results of pre-treated animals with A. parviflora 200, and 300 mg/kg dose prettily revert the severely disturb parameters like, cytolysis, lymphocytic infiltration, and lymphoid aggregate in portal vein and hydropic degeneration. The decrease peroxisome proliferator-receptor activator-δ (PPAR-δ) gene expression by INH, and RFP was significantly up regulated by A. parviflora extract in pre-treated animals at 200 and 300 mg/kg dose. These findings provide baseline pharmacological uses of A. parviflora in liver disorders. Further investigations are required for identification and isolation of biologically active components responsible for pharmacological activity.

Screening of multiclass pesticide residues in honey by SPE-GC/MSD: a pilot study.

Analytical method for the monitoring of residues of multiclass pesticides (variable chemical structure and chromatographic behavior) in honey has been optimized and in-house validated in the present study. Chemical confirmation of 35 selected pesticides (in-hive-treated pesticides and pesticides applied for agricultural practices in vicinity of apiaries) has been successfully achieved with the acetonitrile extraction/partitioning and cleanup by modified US EPA solid-phase extraction (SPE) protocol following analysis on the GC/MS DRS Pesticide Screener. The applied extraction procedure has given acceptable recoveries with an associated precision (RSD) for selected pesticides within the range as suggested by SANTE at MQL of 10 µg kg-1. Potential matrix effect for selected analytes was calculated by using honey from five different floral sources. The optimized method was used to determine levels of pesticide residues in honey samples randomly collected from 26 different apiaries in Pakistan. Residues of nine selected pesticide (dichlorvos, mevinphos, ethalfluralin, trifluralin, lindane, chlorpyrifos-methyl, dieldrin, profenofos, 4,4-DDE) were frequently detected in the ranges of 3-48.8 µg kg-1 in 26.9% of analyzed samples (n = 26) and 15.3% of the studied samples exceeded maximum residue limits (MRLs). In-hive-treated acaricides, i.e., coumaphos, tau-fluvalinate, and malathion, were not detected in any of the analyzed honey samples.

A novel quantitative volumetric spreading index definition and assessment of astrocyte spreading in vitro.

A novel quantitative volumetric spreading index (VSI) is defined that depends on the total distance between object voxels and the contact surface plane in three-dimensional (3D) space. The VSI, which ranges from 0 to 1, is rotationally invariant around the z-axis. VSI can be used to quantify the degree of individual cell spreading, which is important for analysis of cell interactions with their environment. The VSIs of astrocytes cultured on a nanofibrillar surface and three different comparative planar surfaces have been calculated from confocal laser scanning microscope z-series images, and the effects of both culture surface and immunoreactivity on the degree of cell spreading were investigated. VSI calculations indicated a statistical correlation between increased reactivity, based on immunolabeling for glial fibrillary acidic protein, and decreased cell spreading. Further results provided a quantitative measure for the increased spreading of quiescent-like and reactive-like astrocytes on planar substrates functionalized with poly-l-lysine. © 2017 International Society for Advancement of Cytometry.

Differentiation of beta thalassemia trait from iron deficiency anemia by hematological indices.

OBJECTIVE: We aimed at finding out reliable parameter in the differentiation of iron deficiency anemia (IDA) and beta-thalassemia trait (ß-TT) in the adult population subjected to Saudi Arabian Premarital Screening Program. METHODS: A total of 620 adults (age range 21-36 years) reported during February 2012 to November 2012. Tests for serum iron and ferritin were carried out in individuals showing low hemoglobin (Hb). All the selected subjects' samples were subjected to blood morphology, comparison of MCV, RBC count. Red Cell Distribution Width (RDW) was noted from the Coulter Report whereas Red Cell Distribution Width Index (RDWI) value was calculated for all the samples. RESULTS: A total of one hundred &thirty-five individuals with hypochromic microcytic anemia having normal hemoglobin F and hemoglobin A2 < 3.2% were inducted in the study. Ninety-three were diagnosed having IDA, whereas thirty-two were having ßTT. Ten individuals revealed other causes of anemia. The RBC count was higher, and MCV was much lower in ßTT as compared to IDA. Both groups were subjected to RDW and RDWI, however, RDWI which showed better sensitivity and specificity for ßTT. CONCLUSION: RDWI is a reliable and useful index for differentiation among IDA and ßTT, as compared to RDW.

Texture-based segmentation and a new cell shape index for quantitative analysis of cell spreading in AFM images.

A new cell shape index is defined for use with atomic force microscopy height images of cell cultures. The new cell shape index reveals quantitative cell spreading information not included in a conventional cell shape index. A supervised learning-based cell segmentation algorithm was implemented by texture feature extraction and a multi-layer neural network classifier. The texture feature sets for four different culture surfaces were determined from the gray level co-occurrence matrix and local statistics texture models using two feature selection algorithms and by considering computational cost. The quantitative morphometry of quiescent-like and reactive-like cerebral cortical astrocytes cultured on four different culture environments was investigated using the new and conventional cell shape index. Inclusion of cell spreading with stellation information through use of the new cell shape index was shown to change biomedical conclusions derived from conventional cell shape analysis based on stellation alone. The new CSI results showed that the quantitative astrocyte spreading and stellation behavior was induced by both the underlying substrate and the immunoreactivity of the astrocytes.

Ruthenium Hydride Catalyzed Silylvinylation of Internal Alkynes Using Ethylene as an Additive.

An efficient synthetic strategy for the regiospecific silylvinylation of internal alkynes is described. This transformation is catalyzed by RuHCl(CO)(SIMes)PPh3 and provides a net 5-exo-dig trans-silylvinylation of internal alkynes. Ethylene was used to decrease reaction times and displayed altered selectivity at increased pressure. Furthermore, alkyl-substituted alkynes were acceptable substrates at 80 psi of ethylene.

Preservation of Glucagon-Like Peptide-1 Level Attenuates Angiotensin II-Induced Tissue Fibrosis by Altering AT1/AT 2 Receptor Expression and Angiotensin-Converting Enzyme 2 Activity in Rat Heart.

PURPOSE: The glucagon-like peptide-1 (GLP-1) has been shown to exert cardioprotective effects in animals and patients. This study tests the hypothesis that preservation of GLP-1 by the GLP-1 receptor agonist liraglutide or the dipeptidyl peptidase-4 (DPP-4) inhibitor linagliptin is associated with a reduction of angiotensin (Ang) II-induced cardiac fibrosis. METHODS AND RESULTS: Sprague-Dawley rats were subjected to Ang II (500 ng/kg/min) infusion using osmotic minipumps for 4 weeks. Liraglutide (0.3 mg/kg) was subcutaneously injected twice daily or linagliptin (8 mg/kg) was administered via oral gavage daily during Ang II infusion. Relative to the control, liraglutide, but not linagliptin decreased MAP (124 ± 4 vs. 200 ± 7 mmHg in control, p < 0.003). Liraglutide and linagliptin comparatively reduced the protein level of the Ang II AT1 receptor and up-regulated the AT2 receptor as identified by a reduced AT1/AT2 ratio (0.4 ± 0.02 and 0.7 ± 0.01 vs. 1.4 ± 0.2 in control, p < 0.05), coincident with the less locally-expressed AT1 receptor and enhanced AT2 receptor in the myocardium and peri-coronary vessels. Both drugs significantly reduced the populations of macrophages (16 ± 6 and 19 ± 7 vs. 61 ± 29 number/HPF in control, p < 0.05) and α-SMA expressing myofibroblasts (17 ± 7 and 13 ± 4 vs. 66 ± 29 number/HPF in control, p < 0.05), consistent with the reduction in expression of TGFß1 and phospho-Smad2/3, and up-regulation of Smad7. Furthermore, ACE2 activity (334 ± 43 and 417 ± 51 vs. 288 ± 19 RFU/min/µg protein in control, p < 0.05) and GLP-1 receptor expression were significantly up-regulated. Along with these modulations, the synthesis of collagen I and tissue fibrosis were inhibited as determined by the smaller collagen-rich area and more viable myocardium. CONCLUSION: These results demonstrate for the first time that preservation of GLP-1 using liraglutide or linagliptin is effective in inhibiting Ang II-induced cardiac fibrosis, suggesting that these drugs could be selected as an adjunctive therapy to improve clinical outcomes in the fibrosis-derived heart failure patients with or without diabetes.

Autologous blood injection in the treatment of lateral epicondylitis.

OBJECTIVE: To determine mean decrease in visual analogue pain score after autologous blood injection in patients with lateral epicondylitis. METHODS: The quasi-experimental study was conducted at Ghurki Trust Hospital, Lahore, from December 10, 2012, to June 8, 2013, and comprised patients having lateral epicondylitis of elbow. Pre-procedure baseline visual analogue score was measured. Under aseptic conditions, 2ml of autologous blood was drawn from the contra-lateral antecubital fossa of the patient and slowly injected into the site of maximum tenderness. Patients were advised to continue their normal daily activities and were followed up at third and sixth week for assessment of pain intensity. Mean decrease was calculated by subtracting the post-procedure visual analogue score from the baseline value.SPSS 11 was used for data analysis. RESULTS: Of the 150 patients in the study, there were 127(84.7%) males and 23(15.3%) females. Male-to-female ratio was 5.5:1 Overall mean age of was 33.91±10.23 years. The mean pre-injection pain score was 8.97±1.02 and post-injection was 3.59±1.58. Mean decrease in VAS pain score was 5.37±1.80. CONCLUSIONS: Autolgous blood injection was found to be an effective way to treat patients of epicondylitis elbow.

An adaptive metaheuristic optimization approach for Tennessee Eastman process for an industrial fault tolerant control system.

The Tennessee Eastman Process (TEP) is widely recognized as a standard reference for assessing the effectiveness of fault detection and false alarm tracking methods in intricate industrial operations. This paper presents a novel methodology that employs the Adaptive Crow Search Algorithm (ACSA) to improve fault identification capabilities and mitigate the occurrence of false alarms in the TEP. The ACSA is an optimization approach that draws inspiration from the observed behavior of crows in their natural environment. This algorithm possesses the capability to adapt its search behavior in response to the changing dynamics of the optimization process. The primary objective of our research is to devise a monitoring strategy that is adaptable in nature, with the aim of efficiently identifying faults within the TEP while simultaneously minimizing the occurrence of false alarms. The ACSA is applied in order to enhance the optimization of monitoring variables, alarm thresholds, and decision criteria selection and configuration. When compared to traditional static approaches, the ACSA-based monitoring strategy is better at finding faults and reducing false alarms because it adapts well to changes in process dynamics and disturbances. In order to assess the efficacy of our suggested methodology, we have conducted comprehensive simulations on the TEP dataset. The findings suggest that the monitoring strategy based on ACSA demonstrates superior fault identification rates while concurrently mitigating the frequency of false alarms. In addition, the flexibility of ACSA allows it to efficiently manage process variations, disturbances, and uncertainties, thereby enhancing its robustness and reliability in practical scenarios. To validate the effectiveness of our proposed approach, extensive simulations were conducted on the TEP dataset. The results indicate that the ACSA-based monitoring strategy achieves higher fault detection rates while simultaneously reducing the occurrence of false alarms. Moreover, the adaptability of ACSA enables it to effectively handle process variations, disturbances, and uncertainties, making it robust and reliable for real-world applications. The contributions of this research extend beyond the TEP, as the adaptive monitoring strategy utilizing ACSA can be applied to other complex industrial processes. The findings of this study provide valuable insights into the development of advanced fault detection and false alarm monitoring techniques, offering significant benefits in terms of process safety, reliability, and operational efficiency.

A novel output feedback consensus control approach for generic linear multi-agent systems under input saturation over a directed graph topology.

This paper considers an output feedback consensus control approach for the generic linear multi-agent systems (MASs) under input saturation over a directed graph. A region of stability-based approach has been established for dealing with the input saturation. A conventional Luenberger observer for estimating the states of followers by themselves and an advanced cooperative observer for estimating the state of leader by followers have been applied for an estimated state feedback control. The stability conditions have been derived by considering a three-term-based combined Lyapunov function. Moreover, computationally simple controller and estimator design conditions have been obtained by resorting to a decoupling approach A set of initial conditions has been investigated to achieve the leader-following consensus of MASs under the input saturation constraint. To the best of our knowledge, an output feedback consensus approach, providing a consensus region, for generic linear MASs under input saturation over directed graphs without requiring the exact state of the leader has been explored for the first time. In contrast to the existing methods, the proposed approach considers an output feedback approach (rather than the state feedback), accounts for both linear and nonlinear saturation regions, applies an estimate of the state of the leader through cooperative observer, and is based on a generalized sector condition for the saturation nonlinearity. In addition, it offers a computationally simple design solution owing to the proposed decoupling method. Simulation results are provided to validate the efficacy of the designed protocol for F-18 aircraft and unmanned ground vehicles.

Exploring the cytotoxic potential of biflavones of Araucaria cunninghamii: Precise identification combined by LC-HRMS-metabolomics and database mining, targeted isolation, network pharmacology, in vitro cytotoxicity, and docking studies.

The leaves of Araucaria cunninghamii are known to be nonedible and toxic. Previous studies have identified biflavones in various Araucaria species. This study aimed to investigate the in vitro cytotoxicity of the isolated compounds from Araucaria cunninghamii after metabolomics and network pharmacological analysis. Methanol extract of Araucaria cunninghamii leaves was subjected to bioassay-guided fractionation. The active fraction was analyzed using LC-HRMS, through strategic database mining, by comparing the data to the Dictionary of Natural Products to identify 12 biflavones, along with abietic acid, beta-sitosterol, and phthalate. Eight compounds were screened for network pharmacology study, where in silico ADME analysis, prediction of gene targets, compound-gene-pathway network and hierarchical network analysis, protein-protein interaction, KEGG pathway, and Gene Ontology analyses were done, that showed PI3KR1, EGFR, GSK3B, and ABCB1 as the common targets for all the compounds that may act in the gastric cancer pathway. Simultaneously, four biflavones were isolated via chromatography and identified through NMR as dimeric apigenin with varying methoxy substitutions. Cytotoxicity study against the AGS cell line for gastric cancer showed that AC1 biflavone (IC50 90.58 µM) exhibits the highest cytotoxicity and monomeric apigenin (IC50 174.5 µM) the lowest. Besides, the biflavones were docked to the previously identified targets to analyze their binding affinities, and all the ligands were found to bind with energy ≤-7 Kcal/mol.

Antibacterial effect of mango (Mangifera indica Linn.) leaf extract against antibiotic sensitive and multi-drug resistant Salmonella typhi.

Alternative herbal medicine has been used to treat various infections from centuries. Natural plants contain phytoconstituents having similar chemical properties as of synthetic antibiotics. Typhoid fever is a serious infection and failure of its treatment emerged multi-drug resistant (MDR) bugs of Salmonella typhi. Due to multiple and repeated issues with antibiotics efficacy, it became essential to evaluate biological properties of plants from different geographical origins. Mango leaves have been Reported for various medicinal effects like antioxidant, antimicrobial, antihelminthic, antidiabetic and antiallergic etc. Objective of present study was to investigate anti-typhoid properties of acetone mango leaf extract (AMLE) against antibiotic sensitive and MDR S. typhi isolates. A total of 50 isolates of S. typhi including MDR (n=30) and antibiotic sensitive (n=20) were investigated. Staphylococcus aureus (ATCC 25923) and Salmonella typhimurium (ATCC14028) were used as quality control strains. AMLE was prepared and its antibacterial activity was evaluated by agar well diffusion screening method and minimum inhibitory concentration (MIC), by agar dilution technique. Zone of inhibition (mm) of AMLE against MDR and antibiotic sensitive isolates was 18±1.5mm (Mean±S.D). Zone of S. aureus (ATCC 25923) and S. typhimurium (ATCC14028) was 20±1.5mm (Mean±S.D). MIC of AMLE was Reported in range from 10-50 mg/ml. The present study described the inhibitory effects of mango leaves against S. typhi.

A new event-triggered distributed state estimation approach for one-sided Lipschitz nonlinear discrete-time systems and its application to wireless sensor networks.

This article proposes the design of a distributed state estimator for a class of one-sided Lipschitz nonlinear systems over wireless sensor networks. The suggested estimation scheme utilizes the one-sided Lipschitz constraint in conjunction with quadratic inner-boundedness, which makes it applicable to a broader class of nonlinear systems. The proposed estimator design is evaluated under a conventional event-triggered mechanism both in the absence and presence of external perturbations. Furthermore, a novel event-triggering condition is introduced that ensures error convergence to the origin in the absence of external perturbations. It is further established that the inclusion of new triggering condition reduces the estimation error upper bounds in the presence of external disturbances and noises. Sufficient conditions for boundedness of estimation errors are derived for each case, and matrix inequalities are developed for the calculation of estimator gains. Finally, a numerical example is considered to illustrate the efficacy of the proposed estimator.