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Periodontics is one of the important field in dentistry in which we come across various conditions that are related to oral and systemic health. Periodontal diagnosis is the pillar of successful treatment planning since prevention and proper treatment depend on the accuracy and precision of specific diagnostic techniques. Periodontics has evolved in recent years in the field of Nanotechnology, 3-D printing, stem cell therapy etc. Hence this article illustrates current practices and recent advancements in periodontology.

Purpose:Most World Health Organization (WHO) grade I meningiomas carry a favorable prognosis. Some become clinically aggressive with recurrence, invasion, and resistance to conventional therapies (grade 1.5; recurrent/progressive WHO grade I tumors requiring further treatment within 10 years). We aimed to identify biomarker signatures in grade 1.5 meningiomas where histopathology and genetic evaluation has fallen short.Experimental Design:Mass spectrometry (MS)–based phosphoproteomics and peptide chip array kinomics were used to compare grade I and 1.5 tumors. Ingenuity Pathway Analysis (IPA) identified alterations in signaling pathways with validation by Western blot analysis. The selected biomarker was evaluated in an independent cohort of 140 samples (79/140 genotyped for meningioma mutations) by tissue microarray and correlated with clinical variables.Results:The MS-based phosphoproteomics revealed differential Ser/Thr phosphorylation in 32 phosphopeptides. The kinomic profiling by peptide chip array identified 10 phosphopeptides, including a 360% increase in phosphorylation of RB1, in the 1.5 group. IPA of the combined datasets and Western blot validation revealed regulation of AKT and cell-cycle checkpoint cascades. RB1 hyperphosphorylation at the S780 site distinguished grade 1.5 meningiomas in an independent cohort of 140 samples and was associated with decreased progression/recurrence-free survival. Mutations in NF2, TRAF7, SMO, KLF4, and AKT1 E17K did not predict RB1 S780 staining or progression in grade 1.5 meningiomas.Conclusions:RB1 S780 staining distinguishes grade 1.5 meningiomas, independent of histology, subtype, WHO grade, or genotype. This promising biomarker for risk stratification of histologically bland WHO grade I meningiomas provides insight into the pathways of oncogenesis driving these outlying clinically aggressive tumors.

Figure S2, S3, S4, S6, S7, S8, S9 and tables

Background Increase in the number of infections caused by Gram-negative bacteria in neutropenic cancer patients has prompted the search for novel therapeutic agents having dual anticancer and antimicrobial properties. Bacteriocins are cationic proteins of prokaryotic origin that have emerged as one of the most promising alternative antimicrobial agents with applications as food preservatives and therapeutic agents. Apart from their antimicrobial activities, bacteriocins are also being explored for their anticancer potential. Results In this study, a broad-spectrum, cell membrane-permeabilizing enterocin with a molecular weight of 65 kDa was purified and characterized from the culture supernatant of vaginal Enterococcus faecium 12a. Enterocin 12a inhibited multidrug-resistant strains of various Gram-negative pathogens such as Salmonella enterica, Shigella flexneri, Vibrio cholerae, Escherichia coli and Gram-positive, Listeria monocytogenes, but had no activities against different strains of gut lactobacilli. The mass spectrometric analysis showed that the enterocin 12a shared partial homology with 4Fe-4S domain-containing redox protein of E. faecalis R712. Further, enterocin 12a selectively inhibited the proliferation of various human cancer cell lines in a dose-dependent manner but not that of normal human peripheral blood mononuclear cells. Enterocin 12a-treated cancer cells showed apoptosis-like morphological changes. Conclusion Enterocin 12a is a novel bacteriocin that has anticancer properties against human cell lines and negligible activity towards non-malignant cells. Therefore, it should be further evaluated for its anticancer potential in animal models.

Tuberculosis is a health concern worldwide. The anti-tubercular drugs (particularly rifampicin) used for its management offers side effects like acute kidney injury. Creatinine, which is recognised as an important biomarker for the renal function, is commonly estimated with Jaffe's reaction (alkaline picrate reaction). However, interference of Jaffe's reaction with non-creatinine chromogens has been reported. In this context, we have checked the possibility of interference by Rifampicin and Isoniazid at therapeutic concentration with the Jaffe's reaction. Through in-silico study, we have studied the reaction prediction of picric acid with other chemicals/reactant (i.e. Rifampicin, Isoniazid and non-creatinine chromogens) in terms of confidence value. It is observed that the confidence value of reaction prediction between picric acid and INH and Rifampicin is much more than the same of pyruvic acid (non-creatinine chromogen). Further, we have checked the absorbance value of Jaffe's reaction mixture in aqueous media in the presence of both the drugs at 520nm. It is observed that the absorbance of alkaline picric acid increases with an increase in drug concentration. However, the increasing trend of absorbance is much more in the case of rifampicin compared to INH. It appears from our result rifampicin, and isoniazid has the potential to behave as non-creatinine chromogen and can give false positive creatinine results in Jaffe's reaction. Thus, it can cause misdiagnosis in patients consuming these drugs. We recommend study in the biological matrix for further validation of the result.

Purpose: Most World Health Organization (WHO) grade I meningiomas carry a favorable prognosis. Some become clinically aggressive with recurrence, invasion, and resistance to conventional therapies (grade 1.5; recurrent/progressive WHO grade I tumors requiring further treatment within 10 years). We aimed to identify biomarker signatures in grade 1.5 meningiomas where histopathology and genetic evaluation has fallen short. Experimental Design: Mass spectrometry (MS)–based phosphoproteomics and peptide chip array kinomics were used to compare grade I and 1.5 tumors. Ingenuity Pathway Analysis (IPA) identified alterations in signaling pathways with validation by Western blot analysis. The selected biomarker was evaluated in an independent cohort of 140 samples (79/140 genotyped for meningioma mutations) by tissue microarray and correlated with clinical variables. Results: The MS-based phosphoproteomics revealed differential Ser/Thr phosphorylation in 32 phosphopeptides. The kinomic profiling by peptide chip array identified 10 phosphopeptides, including a 360% increase in phosphorylation of RB1, in the 1.5 group. IPA of the combined datasets and Western blot validation revealed regulation of AKT and cell-cycle checkpoint cascades. RB1 hyperphosphorylation at the S780 site distinguished grade 1.5 meningiomas in an independent cohort of 140 samples and was associated with decreased progression/recurrence-free survival. Mutations in NF2, TRAF7, SMO, KLF4, and AKT1 E17K did not predict RB1 S780 staining or progression in grade 1.5 meningiomas. Conclusions: RB1 S780 staining distinguishes grade 1.5 meningiomas, independent of histology, subtype, WHO grade, or genotype. This promising biomarker for risk stratification of histologically bland WHO grade I meningiomas provides insight into the pathways of oncogenesis driving these outlying clinically aggressive tumors.

Every economy is subject to cyclical fluctuations, so it is desirable for policy makers to explore measures that may be taken in advance to ameliorate them. This paper attempts to do so for Indian economy. Growth Cycles and Growth Rate Cycles have been identified with the help of the Bry-Boschan (BB) Procedure, using data for the Index of Industrial Production (IIP). The corresponding Composite Index of Leading Indicators (CILI) for the growth cycle reference series has been constructed using Euro area Leading Indicator Index (EURO_LI), Bombay Stock Exchange-30 price index (BSE_SENSEX), United States Leading Indicator Index (US_LI), Index of Industrial Production- Manufacturing (IIP_MANF), Spread calculated as the difference between Monthly Average of secondary market yield on Government Securities with residual maturity of 10 years and 15-91 days (SPREAD_10_15_91), and Non-oil Imports (NOIL_IMPORTS). And CILI for the growth rate cycle reference series is constructed with leading indicators like Aggregate Deposits of Scheduled Commercial Banks (ADSCB), Bank Credit of Scheduled Commercial Banks (BCSCB), Gold Price (GP_MUMBAI), Index of Industrial Production- Manufacturing (IIP_MANF), and Broad Money (M3). Both composite indices are constructed by employing Principal Component Analysis (PCA). The results indicate that the Indian economy has experienced six growth cycles and five growth rate cycles during the period 1997:06 to 2017:06. The average duration of leads for peak and trough in growth cycles is reported to be 6.4 months and 7.8 months respectively, while the same for growth rate cycles is five months for peaks and three months for troughs. The probability of witnessing a recession in growth and growth rate cycles with forecast horizons of three, six, nine and 12 months, is in the vicinity of 0.4.

Additional file 4 Supplementary Table 1: Antibiotic susceptibility profile of S. enterica MTCC 733

Additional file 1 Supplementary Fig. 1. Silver-stained SDS-PAGE gel showing the bands of partially purified enterocin 12a obtained after SP Sepharose cation-exchange chromatography.

Additional file 3 Supplementary Fig. 3. Agar gel overlay assay of SDS-PAGE gel containing purified enterocin 12a band.

Additional file 5 Supplementary Table 2. Antibiotic susceptibility profile of Esc. coli MTCC119

Additional file 7 Supplementary Table 4: Antibiotic susceptibility profile of V. cholerae MTCC 3906

Additional file 6 Supplementary Table 3. Antibiotic susceptibility profile of Sh. flexneri MTCC1457

Tuberculosis, a global threat, is a highly infectious disease intensified by the emergence of drug-resistant strains. In tuberculosis disease spectrum, a typical situation is a dormant or latent phase where a person exposed to Mycobacterium tuberculosis has the reservoir of the disease that may or may not result in an active state. Existence of the dormant state is retarding the eradication of tuberculosis. Transcription of several genes helps M. tuberculosis to survive in nonreplicative mode. DosR transcription factor is the hallmark for this genesis. Diabetes mellitus is a predisposition factor leading to the development of tuberculosis and latent tuberculosis. High plasma insulin concentrations in the prediabetic state can increase the tuberculosis bacterium. On the other hand, antidiabetic drug metformin is known to reduce active tuberculosis disease when provided in combination with antitubercular therapy. However, the effect of the same on latent tuberculosis is still unknown. In the present work using tools of computational biology, we have tried to find the consequence of adding metformin in combination with rifampicin, a well-known antitubercular drug, on molecular mechanisms of latent tuberculosis. We have investigated whether metformin and rifampicin interact with DosR machinery or not. Our results indicate that if metformin-bound DosR-DNA complex binds with rifampicin, it will result in the conversion of active tuberculosis to latent tuberculosis.

Vitamin D has generated interest in the context of COVID-19 pandemic. Some authorities believe that it is beneficial; others think that without proven deficiency it should not be administered. The results of clinical trial are still awaited. Therefore nothing regarding the matter is conclusively known. In this context we believe that selocalcitol, a Vitamin D analogue if administered via inhalational route, has the potential to prevent SARS-CoV2 infection. The basis of this idea is presented here.

Hypertension is a public health concern. Low dose thiazide diuretics are known to effectively control blood pressure compared to that of other classes of antihypertensive drugs. In this context, we have performed an in-silico study and found that the two Sulphonamide Diuretics Hydrochlorothiazide and Indapamide bound the NADPH binding region of bacterial Dihydrofolate Reductase. Therefore, akin to Sulphonamide Antibiotics, Sulphonamide Diuretics may have antibiotic activity and thereby have the potential to modulate the gut microbiome in a way beneficial to vascular health. The in-silico experiment results were analyzed in the context of the relevant literature. We postulate that Sulphonamide Diuretics exert their antihypertensive role by modulating the gut microbiome, specifically by increasing butyrate-producing taxa in the gut. We recommend extending such work as it is plausible that Indapamide and other Sulphonamide Diuretics may be beneficial for both diabetes and hypertension. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s40203-020-00056-9) contains supplementary material, which is available to authorized users.

A nonparaxial investigation for propagation characteristics of q-Gaussian laser beam in rippled density plasma is studied by considering the relativistic nonlinearity. The field distribution in the medium is expressed in terms of q parameter and beam width parameter f. Nonlinear parabolic partial differential equation governing the evolution of complex envelope in slowly varying approximation is solved in a modulated density profile. Analytical theory of self-focusing including higher order terms in the expansion of dielectric function up to fourth order is developed and the variation of beam width parameter f with the distance of propagation for different parameters is studied. One may note that increased value of density ripple, laser intensity and depth of modulation, increases self-focusing whereas a lower value of q shows strong self-focusing. A comparative study between paraxial and nonparaxial study has also conducted. This study is useful for research in high energy density physics.

A diopside based bioactive system with a nominal composition of xCuO-(45.55-x)CaO-29.44 SiO2-10.28P2O5-14.73 MgO (x=0,1,3 and 5mol%) has been prepared by sol gel technique in the laboratory. X-ray Diffraction, Fourier Transform Infra-Red and Raman Spectroscopy, Field Emission Scanning Electron Microscopy along with Energy Dispersive X-ray Analysis and pH studies have been undertaken on the prepared samples before and after dipping the samples in simulated body fluid. It has been observed that hydroxyapatite layer starts to form with in 24h during immersion in simulated body fluid. Degradation studies have also been employed to check the degradation behavior in Tris-HCl. Dynamic light scattering studies show that particles are mostly agglomerated and have an average size of 356nm. Zeta potential studies have been undertaken to check the surface charge and it has been estimated that samples carry negative charge when dipped in simulated body fluid. Negative surface charge may contribute to attachment and proliferation of osteoblasts. Samples have also shown the antimicrobial properties against the Vibro cholerae and Escherichia coli pathogens. To check the non-toxic nature of the samples, cell cytotoxic and cell culture studies have been undertaken using the MG-63 cell lines. Samples have shown good response with good percentage viability of the cells in the culture media and hence, provides friendly environment to the growth of cells. The particle size, bioactivity, negative values of zeta potential, antimicrobial properties and good cell viability indicate the potential of the synthesized compositions as possible candidates for bone repair applications.

Background: Coronary artery disease (CAD) is a complex metabolic disorder in which lifestyle and genetic factors are known to play key roles in pathogenesis. The paraoxonase 1 (PON1) enzyme has a defensive effect against CAD progression, as it safeguards low-density lipoproteins (LDLs) from oxidative modifications. The most extensively studied genetic variants in the PON1 gene are Q192R and L55M, which have been related with LDL antioxidative activity and risk of CAD. Objective: The present case-control study intended to examine the Q192R and L55M polymorphisms and their association with the risk of CAD patients in north Indians. Methods: A total of 872 subjects (412 CAD patients and 460 controls) were recruited from north India. The PON1 gene was amplified and genotypes were studies using PCR-RFLP. χ2 analysis was performed to compare genotype/allele frequencies in patients and controls. Results: The present study indicated abdominal obesity, elevated body mass index, and dyslipidemia with increased levels of total cholesterol and triglycerides as well as reduced high-density lipoprotein cholesterol in CAD subjects compared to healthy controls (p < 0.05). Logistic regression analysis of the data revealed an association of the RR genotype of the Q192R polymorphism with an about 2-fold elevated risk of CAD (OR = 2.23, 95% CI = 1.47–3.37, p = 0.0001). Contrariwise, the L55M polymorphism did not show significant association with CAD (OR = 1.81, 95% CI = 0.66–4.95, p = 0.326). Conclusions: The Q192R polymorphism in the PON1 gene may be a susceptibility gene associated with increased risk of CAD in an Asian Indian population.

Background: Ectonucleotide pyrophosphatase/phosphodiesterase1 (ENPP1/PC-1) is a key modulator of the insulin signaling pathway, and its common variant, K121Q, increases the susceptibility to diabetes and cardiovascular diseases. Objectives: The main objective of the present study was to investigate the association of ENPP1 K121Q polymorphism with the pathophysiology of metabolic syndrome (MetS) in a north Indian population. Methods: A total of 567 participants (303 MetS subjects and 264 healthy controls) were examined for ENPP1 genotypes and various clinical parameters, including body mass index (BMI), waist circumference (WC), systolic and diastolic blood pressures (SBP/DBP), fasting blood glucose (FBG), cholesterol, triglycerides (TG), high-density lipoprotein, and insulin. Genotyping was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Statistical analysis of the data was done using SPSS. Results: Significant increases in BMI, WC, SBP, DBP, FBG, TG, low-density lipoprotein, insulin, and Homeostasis Model Assessment of insulin resistance (HOMA-IR) and of beta-cell function (HOMA-BF) were observed in MetS patients compared to healthy controls. Logistic regression analysis of data demonstrated a nonsignificant association of QQ and KQ+QQ genotypes with increased risk of MetS (OR [95% CI], 1.583 [0.455–5.507], p = 0.470 for QQ genotypes and 1.097 [0.784–1.540], p = 0.587 for KQ+QQ genotypes). Moreover, MetS subjects carrying Q alleles had significantly higher levels of TG, insulin, body fat percentage, and insulin resistance as evident by higher values of HOMA-IR. Conclusions: We conclude that ENPP1 K121Q functional variant enhances susceptibility to insulin resistance and dyslipidemia in MetS subjects of an Asian Indian population.

Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed. It helps in optimal utilization of resources and hence in enhancing the performance of the system. In the natural environment, the cloudlets will be processed in the FIFO (First in First Out approach). We propose an improved load balancing algorithm for job scheduling in the Grid environment. Hence, in this research work, various types of leases have been assigned to the cloudlets like cancellable, suspendable and non-preemtable. The leases have been assigned on the basis of cost assigned to them and the requirement specified by the user. The datacenter broker will receive the list of all the virtual machines and will categorize them into two classes i.e. Class A and Class B. Class A will have high end virtual machines and will process the non-preemptable cloudlets. Class B will contain the low end virtual machines and will process the suspendable and cancellable cloudlets. The machines in each class will be further sorted in descending order according to their MIPS. Multiple parameters have been evaluated like waiting time, turnaround time, execution time and processing cost. Further, this research also provides the anticipated results with the implementation of the proposed algorithm. In the cloud storage, load balancing is a key issue. It would consume a lot of cost to maintain load information, since the system is too huge to timely disperse load. The main contributions of the research work are to balance the entire system load while trying to minimize the make span of a given set of jobs. Compared with the other job scheduling algorithms, the improved load balancing algorithm can outperform them according to the experimental results.

Load balancing is one of the essential factors to enhance the working performance of the cloud service provider. Cloud Computing is an emerging computing paradigm. It aims to share data, calculations, and service transparently over a scalable network of nodes. Since Cloud computing stores the data and disseminated resources in the open environment. Since, cloud has inherited characteristic of distributed computing and virtualization there is a possibility of machines getting unused. Hence, in this paper, different load balancing algorithms has been studied. Different kinds of job types have been discussed and their problems have been reviewed. In the cloud storage, load balancing is a key issue. It would consume a lot of cost to maintain load information, since the system is too huge to timely disperse load. Load balancing is one of the main challenges in cloud computing which is required to distribute the dynamic workload across multiple nodes to ensure that no single node is overwhelmed.

In the present research work, the authors have investigated the self-focusing and defocusing of Hermite-cosh-Gaussian laser (HChG) beam in an inhomogeneous rippled density plasmas. By taking the relativistic non-linearity into account, an equation for envelope is set up and solved using Wentzel–Kramers–Brillouin and the paraxial ray approximation. An ordinary non-linear differential equation governing the beam width parameter as a function of propagation distance is set up for different mode structures of the beam. Further, a numerical study of this differential equation is carried for suitable set of plasma and laser parameters. The beam undergoes periodic self-focusing/defocusing due to relativistic non-linearity. We also report the comparison between self-focusing/defocusing of HChG beam in the absence and presence of density ripple. Presence of ripple does not only leads to substantial increase in self-focusing length, but also results in oscillatory character with decreasing f. In a relativistic case, strong oscillatory self-focusing and defocusing is observed. Further, self-focusing is enhanced with increased value of decentered parameter.

Synergism in action of tucatinib and trastumab is reported in breast cancer management. However, its molecular basis is yet to be determined. In this context we attempted to provide an explanation at the molecular level by performing in silico experimentation and coupling its result with already available published observations. Our study will provide basis for planning further experimental study for unravelling the truth.

In present days cloud computing is one of the greatest platform which provides storage of data in very lower cost and available for all time over the internet.But it has more critical issue like security, load management and fault tolerance. In this paper we are discussing Load Balancing approach. Resource scheduling management design on Cloud computing is an important problem. Scheduling model, cost, quality of service, time, and conditions of the request for access to services are factors to be focused. A good task scheduler should adapt its scheduling strategy to the changing environment and load balancing Cloud task scheduling policy. Cloud Computing is high utility software having the ability to change the IT software industry and making the software even more attractive. It has also changed the way IT companies used to buy and design hardware. The elasticity of resources without paying a premium for large scale is unprecedented in the history of IT industry. The increase in web traffic and different services are increasing day by day making load balancing a big research topic. Cloud computing is a new technology which uses virtual machine instead of physical machine to host, store and network the different components. Load balancers are used for assigning load to different virtual machines in such a way that none of the nodes gets loaded heavily or lightly. The load balancing needs to be done properly because failure in any one of the node can lead to unavailability of data.

Glyphosate is a commonly used non-selective herbicide in agriculture and aquafarms. Gastrointestinal, respiratory and cardiovascular symptoms are predominant manifestations of glyphosate poisoning. Cardiac dysfunction should be kept as a possibility in patients presenting with shock, and the treatment is mainly supportive. We present such a case.

Background Genetic polymorphisms of the Transcription Factor 7-Like 2 (TCF7L2) gene have been shown to be strongly associated with susceptibility to type 2 diabetes mellitus (T2DM) and its related complications across several ethnicities. Objectives The aim of the present study was to investigate the association of rs12255372 (G/T) polymorphism in TCF7L2 gene with the risk of T2DM in the Indian population. Methods We included a total of 712 human subjects (327 T2DM subjects and 385 healthy controls) for various anthropometric, biochemical and genetic parameters. Genotyping of TCF7L2 gene was carried out using the PCR-RFLP method. Results Significantly higher values of body mass index (BMI), waist circumference (WC), waist to hip ratio (WHR), and body fat (%) were observed in T2DM subjects than controls (p ≤.001). Dyslipidemia represented by higher levels of triglycerides and reduced values of high-density lipoprotein (HDL) was more predominant in T2DM subjects compared to healthy controls. Both microvascular and macrovascular complications were predominant in T2DM patients than controls. The risk genotype (TT) frequency of TCF7L2 gene was significantly higher in T2DM subjects compared to controls (19.4% vs. 9.8%). The “T” allele was more predominant in T2DM subjects than healthy controls. Logistic regression analysis of the data indicates that the TT genotype of TCF7L2 gene is associated with appox. 2-fold increased risk of developing T2DM (OR = 1.91 95% CI (1.16–3.16); p = .014). Interestingly, no significant association among the genotypic distribution of metabolic traits in T2DM and healthy subjects. Conclusion The present study established a significant association of TCF7L2 gene (rs12255372 (G/T) polymorphism) with a higher risk of T2DM in the North Indian population.