bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bibliometric Analysis of Research Trends And Characteristics of Drug-Induced Gingival Overgrowth
Authors: Zhang Ruonan , Wu Jie , Wang Xiaoxiao , Song Jiangyuan 
Published: December 2021

Abstract
Objectives: Drug-induced gingival overgrowth (DIGO) is a common adverse drug reaction generally caused by the cyclosporine, phenytoin and nifedipine which belong to the category of immunosuppressant, anticonvulsant and calcium channel blocker respectively. The objective of the bibliometric analysis was to depict main citation characteristics and analyze research trend in the field of DIGO.Methods: An exhaustive search was performed in the Scopus database for the bibliometric list of DIGO in the syntax. The information related to the number of citations, drugs related to DIGO, study topic and design, authorship, year of publication, journal, contributing institution, country of origin and department was extracted.Results: A total of 399 papers on DIGO were retrieved. The total number of citations and that after removal of self-citations is 7814 and 7314, respectively. The mean number of citations is 19.6, with a range of 0 to 608. Article (76.9%) and review (19.5%) are the main paper types. A remarkable increasing trend in the number of citations is observed since 1994. Cyclosporine (45%) is the most common used drug which has close relation with DIGO, followed by nifedipine, phenytoin (both are 18%), amlodipine (7%). Review (28%) constitutes the most design in the study of DIGO. According to the top 20 keywords, the risk factors and pathogenesis of DIGO have been the hot area of research for several years.Conclusions: The bibliometric study is the first of its kind to identify the top-cited articles and their main characteristics and research trend of DIGO. Risk factors and pathogenesis is the hotspot of research in the field of DIGO. More high level of scientific evidence on DIGO, such as systematic reviews and randomized controlled trials, are encouraged to serve as good helper to reduce the incidence and severity of DIGO.
Climate Suitable Conditions Index and Autochthonous Dengue Infections: an Early Warning Index
Authors: Lu Xinting , Bambrick Hilary , Frentiu Francesca D. , Huang Xiaodong , Davis Callan , Li Zhongjie , Yang Weizhong , Devine Gregor J. , Hu Wenbiao 
Published: December 2021

Abstract
Background: Aedes aegypti is the primary vector of dengue and contributes to most major epidemics of this virus worldwide. Aedes albopictus is also blamed for certain epidemics, as the 2014 Guangdong dengue outbreak. In Guangdong province, Ae. albopictus is thought to be the dominant vector species, with Ae. aegypti absent from most areas. Whether or not primary mosquito vectors are present, optimal climatic conditions for dengue vector species may play a substantial role in epidemics of the virus. We hypothesise that although vector species are required to initiate and establish an outbreak, favourable weather conditions may then grow and perpetuate the outbreak via complex effects on vector sympatry or interactions.Methods: Vector spices-specific suitable conditions index (SCI) and autochthonous dengue case data were fitted to negative binomial (NB) regression models. After accounting for potential confounders, we assessed the relationship between SCI and autochthonous dengue cases. We assumed SCI interaction was a proxy for vector species sympatry and SCI difference a proxy for interspecies competition. Finally, we explored the relationship between these assumed conditions and the autochthonous dengue case. Results: Autochthonous dengue cases are associated negatively with SCI for Ae.albopictus and positively with SCI for Ae.aegypti. According to the NB regression models, autochthonous dengue cases increased 4% (Incident Rate Ratio (IRR): 1.04, 95% CI: 1.02, 1.06) for every unit increase in SCI for Ae. aegypti, but decreased by 3% (IRR: 0.97, 95% CI: 0.96, 0.99) for Ae. albopictus SCI. There was also an interaction between two SCIs and a positive effect of the difference in SCIs on autochthonous dengue cases. These findings support the hypothesis that vector sympatry and interactions may influence the risk of a dengue outbreak.Conclusions: Our results confirm the hypothesis that the dengue virus is more transmissible in regions with warmer weather conditions (high SCI for Ae. aegypti). SCI of Ae. aegypti would be a valuable index to predict dengue transmission even in the absence of Ae. aegypti but with Ae. albopictus present. The results also support that the SCI is beneficial for evaluating dengue outbreak risk in terms of vector sympatry and interactions in the absence of entomology data in future research.
An integrative approach to clinical recovery for COVID-19 patients using an Ayurvedic formulation: A multicentric double-blind randomized control trial.
Authors: Bhardwaja Pankaj , Ganapathy Kalaiselvan , Pathania Monika , Naveen K H , Charan Jaykaran , Dutta Siddhartha , Gadepalli Ravisekhar , Sriniva Srikanth , Gupta Manoj Kumar , Goelj Akhil D , Midha Naresh , Kumar Bharat , Sharma Meenakshi , Sharma Praveen , Banerjee Mithu , Mitra Prasenjit , Misra Sanjeev , V. Vinayagamoorthy , Subramaniant Girija , R Praveen , Dhar Minakshi , Saxena Vartika , Dhamija Puneet , Singh Archana , Subramanian Saumya , Kanchibhotlaz Divya 
Published: December 2021

Abstract
BackgroundTraditional medicine systems such as Ayurveda contain a vast repository of naturally occurring herbs with strong antimicrobial potency. A multitude of complementary therapies have been explored for their therapeutic role to treat COVID-19 during the pandemic. There have been promising results reported from in silico, in vitro and in vivo studies that need to be further explored in humans.ObjectiveThe present randomized placebo control trial evaluates the clinical efficacy of an integrated approach including Ayurvedic polyherbal formulation, NOQ19 in the improvement of mild to moderate category of COVID-19 infected patients.Patients and methodsA multicentric, randomized, placebo control design was adopted for the study. A total of 76 patients with positive COVID-19 RT-PCR test were enrolled in the study; 39 in the NOQ19 arm and 37 in the placebo arm. Patients were randomized and blinded to their respective intervention, which was provided along with the standard of care treatment. Rate of recovery assessment was done on Day 3, 5 and 7 via RT-PCR test to measure the rate of recovery. Blood markers were analysed on Day 0 and Day 7.OutcomesThe patients were assessed for rate of recovery via RT-PCR and improvement in blood biomarkers. They were also monitored for any adverse events or side effects of the drug.ResultsThe present study demonstrated a significant early recovery in the patients who took the NOQ19 formulation. Patients who received NOQ19 with the standard care of treatment showed clinical improvement in terms of oxygen requirement, breathlessness and SpO2, though the difference was not statistically significant. Moreover, no side effects were observed with the use of NOQ19.ConclusionAn overall integrated approach of standard of care treatment with Ayurvedic formulation (NOQ19) results in early clinical outcome in the management of mild to moderate cases of COVID-19.
Heterosis and combining ability studies by Line × tester analysis for fruit biochemical, morpho-physiological, and yield traits governing shelf life in tomato (Solanum lycopersicum L.)
Authors: MP pavan , S Gangaprasad , M Dushyanthakumar B , Adivappar Nagrajappa 
Published: December 2021

Abstract
Improving tomatoes keeping quality is crucial for reducing post-harvest losses. Knowledge on heterosis, and combining ability is pre requisite for breeding high yielding and good shelf life heterotic hybrids. An investigation was undertaken with each of 3 lines, testers, and 9 hybrids to identify desirable parents and crosses for 20 fruit biochemical, morpho-physiological, and yield traits and to elucidate nature of gene action for shelf life and its contributing traits through Line × Tester analysis. The lines contributed to most of hybrids variability than testers and fruit quality traits had higher degree of SCA variance as compared to GCA variance. pH, ascorbic acid, fruit firmness, and plant height governed by additive gene action. Lycopene, titratable acidity, TSS, calcium, magnesium, pericarp thickness, pulp content, locule number, fruit length, diameter, weight, shelf life, number of branches, number of clusters, number of fruit/cluster, and yield/plant were under the control of non-additive gene action. All the lines and Arka Saurabh were best general combiners and IIHR 2349 × Arka Vikas, IIHR 2349 × Arka Saurabh, IIHR 2358 × Arka Ahuti and IIHR 2357 × Arka Ahuti were the best specific combiner in producing heterotic hybrids. IIHR 2349 × Arka Vikas and IIHR 2349 × Arka Saurabh were promising hybrids for high yield and shelf life. The crosses involved both parents with high, one parent with high and other with low and both parents with low good overall general combining ability status respectively indicated the additive, non-additive and epistatic gene action in fruit quality and yield traits inheritance.
Characterization and Corrosion Resistance Behavior of Pure Ni Coatings &amp; Ni-V2O5 Nano composite Coatings Developed by DC &amp; PC Methods of Electrodeposition
Authors: Mohanreddy R , Praveen B M , Alhadhrami A 
Published: December 2021

Abstract
Pure nickel (Ni) coating and nickel – vanadium pentoxide (Ni-V2O5) nanocomposite coatings have been developed on mild steel substrates by direct current (DC) & pulse current (PC) methods of electrodeposition using sulfamate electrolyte bath by optimizing all the suitable parameters. The surface morphology and texture characterization of pure Ni coating and Ni-V2O5nanocomposite coatings were analyzed by spectroscopic techniques such as Scanning Electron Microscopy (SEM) equipped with an attachment for Energy Dispersive Spectrometry (EDS) & X-ray Diffraction (XRD) spectroscopy analysis. The SEM study confirmed surface morphology of the pure Ni coating was changed by the incorporation of V2O5 nanoparticles in the nickel metal matrix and chemical composition of all the coatings was determined by EDS. XRD study proved highly corrosion resistant nanocomposites show preferred orientation towards (111) plane. The corrosion rate of all the coatings was investigated in 3.5% corrosive medium using electrochemical techniques such as Tafel extrapolation and AC impedance. The coatings developed by PC show enhanced corrosion resistance behavior compare to coatings developed by DC. The 0.125g/L Ni-V2O5nanocomposite coating obtained by PC show more widened semicircle with high Rp value and has more positive shift with high corrosion resistance during AC impedance and Tafel extrapolation analysis respectively. The coatings developed by PC showed improved micro hardness compare to coatings developed by DC during micro hardness testing of all the coatings.
Protective Potential of Adiponectin and Quercetin on Alleviating Bisphenol-A-Induced Toxicity in Muscle Cells Through the KEAP1/NRF2 Pathway
Authors: Mohammadi Davood , Jalali-Mashayekhi Farideh , Nedaei Keivan , Ghadimi Darya , Rasooli Zahra , Hemmati Mina 
Published: December 2021

Abstract
Background: Bisphenol A (BPA) is a toxic environmental estrogenic compound which exerts its detrimental effects by increasing oxidative stress and decreasing levels of antioxidants. This study aimed to evaluate beneficial effect of adiponectin and quercetin in reducing BPA-induced oxidative stress by assessing the Prooxidant-antioxidant balance (PAB) assay, catalase activity and KEAP1/NRF2 expression in muscle cells.Methods and Results: L6 rat muscle cells were exposed to BPA (50 an100 μM) with and without treatment with different concentrations of adiponectin (10 and 100 ng/ml) and quercetin (10 and 25 ng/ml) for 24 and 48 hours. Cell viability was assessed using MTT assay, and the PAB was evaluated with the ELISA at 540 nm. Catalase level was also evaluated in all groups. Furtheremore, the expression of KEAP1/Nrf2 genes was assessed using qRT-PCR. The results showed a significant reduction in L6 cells survival after being treated with 100 μM BPA. Adiponectin and quercetin treatment also increased cell survival compared to BPA-treated cells. It was also found that PAB increased with BPA exposure, and quercetin treatment significantly reduced it compared to BPA treatment. The catalase activity was reduced in BPA-treated cells, which was significantly increased by treatment with adiponectin and quercetin. A significant decrease in Nrf2 gene expression was observed in BPA-treated cells compared to the control group. It was further found that cell treatment with quercetin and adiponectin significantly increased the expression of Nrf2 gene compared to the control group.Conclusions: Taking together, our results implied that adiponectin and quercetin could modulate BPA-induced oxidative stress in muscle cells through KEAP1/Nrf2 pathway. Accordingly, it can be concluded that adiponectin in low dose and quercetin, may have significant impact in reducing toxicity due to BPA.
Toddalolactone Protects Against Osteoarthritis by Ameliorating Chondrocyte Inflammation and Suppressing Osteoclastogenesis
Authors: Xu Yiming , Xue Song , Zhang Tian , Jin Xinmeng , Wang Cong , Lu Haiming , Zhong Yiming , Chen Hongjie , Zhu Libo , Ma Jinzhong , Sang weilin 
Published: December 2021

Abstract
Background: Osteoarthritis (OA) is widely recognized as the most common chronic joint disease accompanied by progressive cartilage and subchondral bone damage. Toddalolactone (TOD), a natural compound extracted from Toddalia asiatica (L.) Lam., has been widely used in the treatment of stroke, rheumatoid arthritis, and oedema. Nevertheless, what TOD acts as in the pathogenesis and progression of OA hasn’t been reported. In this investigation, we have aimed to determine how TOD affects OA in vitro and in vivo.Methods: LPS (10μg/ml) was employed to induce chondrocyte inflammation or RANKL to induce osteoclast differentiation in bone marrow derived macrophages (BMMs); Meanwhile, the effects of TOD on chondrocyte inflammation and osteoclast differentiation were evaluated. Anterior cruciate ligament transection (ACLT) was performed to develop an OA animal model and study the effects of TOD.Results: We found that TOD inhibited the expression of inflammatory and catabolic mediators ( IL-6, IL-8, TNF-α, MMP2, MMP9, and MMP13) in LPS-treated chondrocytes in vitro. Furthermore, TOD was proven to inhibit RANKL-induced-osteoclastogenesis and inhibit the expression of marker genes (NFATc1 and c-fos). Our data also confirmed that TOD suppressed the destruction of articular cartilage and osteoclastogenesis by inhibiting the activation of the NF-κB and MAPK signalling pathways. In the ACLT mouse model, we found that TOD attenuated the ACLT-induced cartilage erosion and inhibited bone resorption.Conclusions: These results showed that TOD can be adopted as a potential therapeutic agent for OA.
Maternal Childbirth Experience and Time in Labor - A Population-Based Cohort Study
Authors: Carlhäll Sara , Nelson Marie , Svenvik Maria , Axelsson Daniel , Blomberg Marie 
Published: December 2021

Abstract
A negative childbirth experience may have long term negative effects on maternal health. New international guidelines allow a slower progress of labor in the early active phase, however a longer time in labor may influence the childbirth experience. In this population-based cohort study including 26,429 women, who gave birth between Jan 2016 to March 2020, the association between duration of the different phases of active labor and childbirth experience was studied. The women assessed their childbirth experience by visual analogue scale (VAS) score. Data including VAS score and labor time estimates were obtained from electronic medical records and adjusted odds ratios (aOR) were calculated.The prevalence of negative childbirth experience (VAS 1-3) was 4,9%. A significant association between longer duration of all phases of active labor and a negative childbirth experience (VAS 1-3) was found for primi- and multipara. The aOR for negative childbirth experience and longer time in active labor in primipara was 1.88, 95% CI (1.59-2.22) and for multipara aOR 1.90, 95% CI (1.59-2.28).It is of great importance to identify and optimize the clinical care of women with prolonged labor to reduce the risk of negative childbirth experience and associated adverse long-term effects.
Process Evaluation of Recombinant Chitin Deacetylase Expression in E. Coli Rosetta pLysS Cells using Statistical Design of Experiments
Authors: Pawaskar Goutam Mohan , Raval Ritu , S Subbalaxmi 
Published: December 2021

Abstract
Chitin is a natural polymer with N-acetylglucosamine units, extracted from seafood waste as a major source. It remains an underexplored polymer due to its crystalline structure. The commercial applicability can be improved if we could make it soluble. One of the routes employed to decrease this crystallinity is the conversion of chitin to chitosan via deacetylation. The industrial production of chitosan uses chemical methods, which leaves the process footprint on the environment. The greener alternative approach to producing chitosan is using chitin deacetylases (CDA). The enzymatically converted chitosan with known characteristics has a wide range of applications, importantly in the biomedical field. In the present paper, we report heterologous expression of CDA from a marine moneran; Bacillus aryabhattai B8W22. The process and the nutritional conditions were optimized for the submerged fermentation condition of E. coli Rosetta pLysS expressing the recombinant CDA using the design of experiment tools. The employment of central composite design (CCD) resulted in a ~2.39 fold increase in the total activity of expressed CDA with the process conditions of induction temperature at 22 ºC, agitation at 120 rpm, and 30 h of fermentation. The nutritional conditions required for the optimized expression were 0.061% glucose concentration and 1% lactose in media. The employment of these optimal growth conditions could result in cost-effective large-scale production of the lesser-explored moneran deacetylase, embarking on the greener route to produce biomedical grade chitosan.
3DFAACTS-SNP: Using Regulatory T Cell-specific Epigenomics Data to Uncover Candidate Mechanisms of Type-1 Diabetes (T1D) risk
Authors: Liu Ning , Sadlon Timothy , Wong Ying Ying , Pederson Stephen Martin , Breen James , Barry Simon 
Published: December 2021

Abstract
BackgroundGenome-wide association studies (GWAS) have enabled the discovery of single nucleotide polymorphisms (SNPs) that are significantly associated with many autoimmune diseases including type 1 diabetes (T1D). However, many of the identified variants lie in non-coding regions, limiting the identification of mechanisms that contribute to autoimmune disease progression. To address this problem, we developed a variant filtering workflow called 3DFAACTS-SNP to link genetic variants to target genes in a cell specific manner. Here we use 3DFAACTS-SNP to identify candidate SNPs and target genes associated with the loss of immune tolerance in regulatory T cells (Treg) in T1D. ResultsUsing 3DFAACTS-SNP we identified from a list of 1,228 previously fine-mapped variants, 36 SNPs with plausible Treg-specific mechanisms of action. The integration of cell-type specific chromosome conformation capture data in 3DFAACTS-SNP, identified 119 regulatory regions and 51 candidate target genes that interact with these variant-containing regions in Treg cells. We further demonstrated the utility of the workflow by applying it to three other SNP autoimmune datasets, identifying 17 Treg-centric candidate variants and 35 interacting genes. Finally, we demonstrate the broad utility of 3DFAACTS-SNP for functional annotation of all known common (>10% allele frequency) variants from the Genome Aggregation Database (gnomAD). We identified 7,900 candidate variants and 3,245 candidate target genes, generating a list of potential sites for future T1D or autoimmune research. ConclusionsWe demonstrate that it is possible to further prioritise variants that contribute to T1D based on regulatory function and illustrate the power of using cell type specific multi-omics datasets to determine disease mechanisms. Our workflow can be customised to any cell type for which the individual datasets for functional annotation have been generated, giving broad applicability and utility.
Global Assessment of Spatiotemporal Variability of Wet, Normal and Dry Conditions using Multiscale Entropy-based Approach
Authors: Sreeparva Vijay , Srini V.V 
Published: December 2021

Abstract
In recent decades, human-induced climate change has caused a worldwide increase in the frequency/intensity/duration of extreme events, resulting in enormous disruptions to life and property. Hence, a comprehensive understanding of global-scale spatiotemporal trends and variability of extreme events at different intensity levels (e.g., moderate/severe/extreme) and durations (e.g., short-term/long-term) of normal, dry and wet conditions is essential in predicting/forecasting/mitigating future extreme events. This article analyses these aspects using estimates of a non-stationary standardized precipitation evapotranspiration index corresponding to different accumulation periods for 0.5˚ CRU resolution grids at globe-scale. Results are analyzed with respect to changes in land-use/landcover and location/geographic (latitude, longitude, elevation) indicators at different time scales (decadal/annual/seasonal/monthly) for each continent. The analysis showed an (i) increasing trend in the frequency/count of both dry and wet conditions and variability of dry conditions, and (ii) contrasting (decreasing) trend in the variability of wet conditions, possibly due to climate change-induced variations in atmospheric circulations. Globally, the highest variability in the wet and dry conditions is found during the Northern hemisphere's winter season. The decadal-scale analysis showed that change in variability in dry and wet conditions has been predominant from the 1930s and 1950s, respectively and is found to be increasing in recent decades.
Steinernema Feltiae- Xenorhabdus Bovienii: More Information about this Bactohelminthic Complex from Iran
Authors: Kuhestani Kimia , Karimi Javad , Makhdomi Ali 
Published: December 2021

Abstract
Background: Entomopathogenic nematodes (EPNs) of the families Steinernematidae and Heterorhabditidae that are symbiotically associated with Xenorhabdus and Photorhabdus bacteria are one of the effective biological control agents of insect pests. Native isolates can probably be more efficacious to control insect pests than exotic ones due to their adaptability to indigenous environmental conditions. Results: In this study, Steinernema feltiae isolate FUM221 was recovered from soil samples collected from the Fandoghloo pasture, Ardabil province, Iran. Morphological investigations of the first and second-generation adults, infective juveniles, and molecular characterizations were given based on ITS and 18S rDNA genes. Besides, molecular analysis based on the 16S rRNA region and phenetic data recognized Xenorhabdus bovienii as its symbiont bacterium. The scanning electron microscopy (SEM) images verified the identification of this isolate.Conclusion: The molecular characterization using two loci and phylogenetic analyses provided more evidence for the classification of this steinernematid and its difference of the same species from other countries. Moreover, molecular and phenetic characterizations of its symbiotic bacterium were provided with low variations compared to other isolates. Herein, the comprehensive taxonomic data of this steinernematid from Iran is presented.