Rational design of hybrid peptide with high antimicrobial property derived from Melittin and Lasioglossin.

Hybridization of Antimicrobial peptides (AMPs) with unique abilities is now considered to improve AMPs' function as promising therapeutic candidates. In the current research, Lasioglossin (LL-III) with a high antimicrobial effect on Acinetobacter (A.) baumanni and Melittin with a high antimicrobial effect against Staphylococcus (S.) aureus were selected for designing a hybrid peptide with modified properties. In the present study, a hybrid peptide with modified properties was designed. Molecular dynamic (MD) and coarse-grained (CG) simulations were done to evaluate the stability and interaction of the hybrid peptide with related membrane models. In this study, a truncated Melittin peptide (11 amino acids) was fused to an LL-III peptide (15 amino acids) to raise the antimicrobial activity. A new hybrid peptide analog (LM1) was selected by replacing the arginine with isoleucine in the fifth position of truncated Melittin to raise the antimicrobial rate of the peptide. The potential for binding of the LM1 to lipid membrane (D factor) was increased from 2.02 related to Melittin to 3.62. Based on VMD results, the N-terminal of LM1 peptide related to LL-III was the alpha helix during 200 ns. However, the C-terminal region related to the Melittin peptide only at 50 ns was in alpha helix form. The RMSD of the LM1 peptide was in the range of 0.2 to 0.8, which, after 160 ns, reached stability. RMSD and RMSF results indicated no unwanted fluctuations during the 200 ns MD simulation. A significant movement of LM1 peptide inside the S. aureus membrane(4.76 nm) and A. baumanni membrane (3.2 nm) was observed by CG simulation. Our findings highlight the high stability of the designed hybrid peptide and its antimicrobial potential to halter A. baumanii and S. aureus bacteria.Communicated by Ramaswamy H. Sarma.

Overexpression of miR-146a and miR-155 are Potentially Biomarkers and Predict Unfavorable Relationship between Gastric Cancer and Helicobacter pylori Infection.

Gastric Cancer (GC) is one of the most dangerous malignancies in the world. This study aims to evaluate the relationship between miR-146a and miR-155 in patients with H. pylori infections with GC compared to H. pylori-infected patients and healthy subjects. Forty patients with H. pylori and GC positive diagnoses and 40 patients with H. pylori positive and GC negative diagnoses, and 40 healthy persons were selected. The expression of miR-146a and miR-155 genes in the whole blood was examined using qRT-PCR. Moreover, ROC curves were drawn to represent the sensitivity and specificity of miR-146a and miR-155 expression as biomarkers. The results showed the expression of miR-146a and miR-155 in the whole blood of patients with H. pylori and GC positive diagnoses are significantly higher than in healthy individuals and are non-significantly enhanced compared to H. pylori positive and GC negative. Also, the results stated miR-146a and miR-155 expression in the whole blood of patients who are H. pylori positive and GC negative are significantly increased compared to healthy individuals. Furthermore, the ROC curve analysis of miR-146a and miR-155 RNA level demonstrated the two miRNAs have an appropriate sensitivity and specificity for diagnostic goals. In conclusion, H. pylori infection may increase the expression of miR-146a and miR-155 in patients with H. pylori and GC positive diagnoses, which can be effective in the curbing the progression of GC. For this reason, up-regulation of miR-146a and miR-155 along with H. pylori infection might contribute to the pathogenesis of GC, and also can be suggested as biomarkers for GC diagnosis and treatment.

The correlation between human papillomavirus and oral lichen planus: A systematic review of the literature.

INTRODUCTION: Oral lichen planus (OLP) is a chronic inflammatory disorder with cell-induced immunopathological responses and is considered a potential malignancy disorder in the oral cavity. Due to the high prevalence of OLP as well as the potential for malignancy, human papillomaviruses (HPVs) may play an important role in it. Although previous studies have explored the possible relationship between HPV and OLP, the findings have been conflicting and nonconclusive. This study aims to review the studies that investigated HPV-16 and HPV-18 in OLP. METHODS AND MATERIALS: The research protocol followed the Preferred Reporting Items for Systematic Reviews (PRISMA2020) checklist. The online databases Pubmed, Scopus, Embase, Google Scholar, and Cochrane were searched using the following individual keywords: "OLP" OR "Oral Lichen Planus" OR "HPV" OR "Human Papillomavirus." The search strategy resulted in the selection of 80 articles. The articles were evaluated, and after duplication removal, 53 abstracts were reviewed, resulting in the selection of 25 studies according to inclusion and exclusion criteria. The risk of bias assessment was done by using the Modified Newcastle-Ottawa quality assessment scale. The overall prevalence of HPV in OLP lesions varied from 2.7% to 70%, depending on the type of diagnostic method used. CONCLUSION: Despite the studies conducted on the relationship between OLP and HPV infection, there is still no conclusive evidence that HPV can play a role in the etiopathogenesis of OLP, either in clinical manifestations or in the malignant transformation of lesions.

A torus-like sublingual adenoid cystic carcinoma in a 35-year-old male: Review of literature and case report.

Key Clinical Message: The case report describes an adenoid cystic carcinoma occurring at a rare location and the diagnostic pathway. Swellings of the floor of the mouth, whether painful or without subjective symptoms and regardless of consistency, should be taken seriously. Abstract: Adenoid cystic carcinoma (ADCC) of the sublingual salivary gland only accounts for 2% of all ADCCs. In this study, we report a rare case of ADCC with sublingual salivary gland origin in a 35-year-old man and a comprehensive review of articles published over the past 62 years.

Scrutinization of land subsidence rate using a supportive predictive model: Incorporating radar interferometry and ensemble soft-computing.

Land subsidence is a huge challenge that land and water resource managers are still facing. Radar datasets revolutionize the way and give us the ability to provide information about it, thanks to their low cost. But identifying the most important drivers need for the modeling process. Machine learning methods are especially top of mind amid the prediction studies of natural hazards and hit new heights over the last couple of years. Hence, putting an efficient approach like integrated radar-and-ensemble-based method into practice for land subsidence rate simulation is not available yet which is the main aim of this research. In this study, the number of 52 pairs of radar images were used to identify subsidence from 2014 to 2019. Then, using the simulated annealing (SA) algorithm the key variables affecting land subsidence were identified among the topographical parameters, aquifer information, land use, hydroclimatic variables, and geological and soil factors. Afterward, three individual machine learning models (including Support Vector Machine, SVM; Gaussian Process, GP; Bayesian Additive Regression Tree, BART) along with three ensemble learning approaches were considered for land subsidence rate modeling. The results indicated that the subsidence varies between 0 and 59 cm in this period. Comparing the Radar results with the permanent geodynamic station exhibited a very strong correlation between the ground station and the radar images (R2 = 0.99, RMSE = 0.008). Parsing the input data by the SA indicated that key drivers are precipitation, elevation, percentage of fine-grained materials in the saturated zone, groundwater withdrawal, distance to road, groundwater decline, and aquifer thickness. The performance comparison indicated that ensemble models perform better than individual models, and among ensemble models, the nonlinear ensemble approach (i.e., BART model combination) provided better performance (RMSE = 0.061, RSR = 0.42, R2 = 0.83, PBIAS = 2.2). Also, the distribution shape of the probability density function in the non-linear ensemble model is much closer to the observations. Results indicated that the presence of significant fine-grained materials in unconsolidated aquifer systems can clarify the response of the aquifer system to groundwater decline, low recharge, and subsequent land subsidence. Therefore, the interaction between these factors can be very dangerous and intensify subsidence.

A Comparison of the Anti-Anxiety Effects of Oral Ketamine and Fluvoxamine in Children with Separation Anxiety Disorder Manifesting as School Refusal.

Background: Children suffer from a high prevalence of anxiety problems that require prompt treatment. It has been demonstrated that ketamine offers rapid anti-anxiety effects. This study aimed to evaluate ketamine's anti-anxiety impact in the treatment of children with school-refusal separation anxiety disorder. Materials and Methods: In this open-labeled randomized clinical trial, 71 children (6-10 years) diagnosed with school refusal separation anxiety disorder were randomly assigned to two groups; a case group, who received ketamine at a weekly rising dose of 0.1 to 1 mg/kg; the control group treated with Fluvoxamine (25 mg/day), which could increase to 200 mg/day if necessary. The SCARED and CATS questionnaires were used to assess anxiety before treatment, at the 8th and 16th weeks of intervention. The data were analyzed using repeated-measures analysis of covariance. Results: The mean anxiety scores in the eighth week (19.7 ± 16.1) were significantly lower in the ketamine group than before (31.5 ± 10.8). Until the sixteenth week (19.4 ± 14.6), there was no further decrease in scores in the ketamine group, in the fluvoxamine group, pre-treatment scores (36.3 ± 16.5) and eighth week (36.9 ± 16.6) were not significantly different, but scores decreased significantly in a sixteenth week (26.2 ± 12.5). Conclusion: In first eight weeks of treatment, ketamine was more successful than fluvoxamine at reducing anxiety disorder, considering the emergence of this disorder and the lack of major adverse effects of ketamine, it seems to be beneficial in early phases of treatment. Due to the quick onset of ketamine in future trials, their combination therapy is recommended during the initial weeks of treatment.

Treating Parafunctional Habits for Alleviating Temporomandibular Disorder and Lower Back Pain: A Phase II Clinical Trial.

Objectives: Temporomandibular disorders (TMDs) include a series of signs and symptoms in the temporomandibular joints (TMJ) and muscles of mastication, which are associated with or caused by parafunctional habits. Many of these patients also suffer from lumbar pains. This study aimed to evaluate the effectiveness of treating parafunctional habits in alleviating symptoms of TMD and lower back pain. Materials and Methods: This phase II clinical trial was conducted on 136 patients suffering from TMDs and lumbar pain, who consented to participate in this study. They were provided with instructions on how to discontinue their parafunctional habits including clenching and bruxism. The Helkimo and Rolland Morris questionnaires were used to assess TMD and lower back pain, respectively. Data were statistically analyzed using paired Student's t-test, Wilcoxon, Mann-Whitney, and Spearman correlation tests, with the significance level set at P<0.05. Results: The mean severity score of TMD significantly decreased after the intervention. Following treatment of TMD, the mean severity score of lumbar pain decreased from 8 to 2 (P=0.0001). Conclusion: Based on our findings, it appears that the elimination of parafunctional habits improves TMD and lumbar pain.

Evaluation of the short-term echocardiographic effects of two loop diuretics, furosemide and torsemide, in a group of dogs.

BACKGROUND: Two loop diuretics, torsemide and frusemide, can affect the urinary system and consequently the cardiordiovascular haemodynamics in different ways. OBJECTIVES: This study compared a number of echocardiographic parameters and systemic arterial blood pressure (ABP) changes following administration of furosemide or torsemide. METHODS: Five shelter dogs underwent transthoracic two-dimensional M-mode echocardiography to obtain the following measurements: left ventricular internal dimension at end-systole (LVIDs), left ventricular internal dimension at end-diastole (LVIDd), fractional shortening (FS), heart rate (HR) and the distance between the mitral valve socket and the ventricle wall (septal to E Point, SEP). Arterial blood pressure was measured using the oscillometric method. Measurements recorded before treatment (baseline data) were compared to those after the dogs received furosemide (5 mg/kg) or torsemide (0.5 mg/kg). RESULTS: Torsemide significantly reduced blood pressure 1 h after administration, but this was not seen with furosemide. Fractional shortening, LVIDd and SEP decreased following both treatments, but there were no significant differences between the treatment groups. Torsemide increased heart rate above that seen in the furosemide groups. CONCLUSIONS: The results of this study indicate that 1 h after administration, torsemide increases heart rate and decreases blood pressure when compared to furosemide, but both drugs have similar effects on measured cardiovascular indices.

Investigating the factors proposed in oral lichen planus malignant transformation: A literature review.

Background and Aims: Lichen planus is a chronic inflammatory disease that affects about 1% of the world's population. The World Health Organization has included oral lichen planus among potentially malignant disorders. Identification of reliable biomarkers for the diagnosis of malignant transformation may play a unique role in the development of standard screening and improvement of follow-up in patients with oral precancerous lesions. It is currently assumed that the molecular pathways controlling growth, maturation, proliferation, and apoptosis in epithelial cells may play an important role in the process of transformation into malignancy. Methods: The search was done in PubMed, Scopus, Google Scholar, Embase, and Cochrane databases from 1960 to 2022. Results: Based on the inclusion criteria, 23 articles were included. Conclusion: In this review of articles, 34 different biomarkers that have been investigated in studies for the possibility of malignant transformation in OLP have been studied. Among all the risk factors related to malignant transformation, most studies have been done on the role of cytokines and tumor suppressors, in fact, the chronicity of the lesion which is the result of the reaction between the repair and the inflammatory response and the responses accompanied by the secretion of cytokines, may play a major role in the malignant transformation of OLP.

Mapping of salty aeolian dust-source potential areas: Ensemble model or benchmark models?

Considering the effects of dust on human health, environment, agriculture, and transportation, it is necessary to investigate dust emissions susceptibility. This study aimed to study the capability of different machine learning models in analyzing land susceptibility to dust emissions. At first, the dust-source areas were identified by examining the frequency of occurrence (FOO) of dusty days using the aerosol optical depth (AOD) of the MODIS sensor from 2000 to 2020 and field surveys. Then, the weighted subspace random forest (WSRF) model in comparison with three benchmark models-general linear model (GLM), boosted regression tree (BRT), and support vector machine (SVM)-was employed to predict land susceptibility to dust emissions and also to determine the importance of dust-drivers. The results revealed that the WSRF outperformed benchmark models. In a nutshell, the values of accuracy, Kappa, and probability of detection for all models were more than 97 %, and also the false alarm rate was less than 1 % for all models. Spatial analysis indicated a greater frequency of dust events in the outskirts of Urmia Lake (mainly in the eastern and southern parts). Furthermore, according to the map of land susceptibility to dust emissions produced by the WSRF model, about 4.5 %, 2.8 %, 1.8 %, 0.8 %, and 0.2 % of the salt land, rangeland, agricultural, dry-farming, and barren lands, respectively, associated with high and very high degrees of dust emissions susceptibility. Therefore, this study provided in-depth insights into the applicability of the ensemble model, WSRF, to precisely map dust emissions susceptibility.

Long non­coding RNA LINC00460 contributes as a potential prognostic biomarker through its oncogenic role with ANXA2 in colorectal polyps.

BACKGROUND: Long intergenic non-coding RNA 460 (LINC00460) as a potential oncogene and Annexin A2 (ANXA2) as a promoter in different cancer progression processes was considered. A significant relationship between the LINC00460 and ANXA2 has been recently discovered in colorectal cancer (CRC). Therefore, defining molecular biomarkers accompanied by lesion histopathologic features can be a suggestive prognostic biomarker in precancerous polyps. This study aimed to investigate the elusive expression pattern of ANXA2 and LINC00460 in polyps. MATERIALS AND METHODS: The construction of the co-expression and correlation network of LINC00460 and ANXA2 was plotted. LINC00460 and ANXA2 expression in 40 colon polyps was quantified by reverse transcription-real-time polymerase chain reaction. The receiver operating characteristic (ROC) curve was designed for distinguishing the high-risk precancerous lesion from the low-risk. Further, bioinformatics analysis was applied to find the shared MicroRNA-Interaction-Targets (MITs) between ANXA2 and LINC00460, and the associated pathways. RESULTS: ANXA2 has a high co-expression rank with LINC00460 in the lncHUB database. Overexpression of ANXA2 and LINC00460 was distinguished in advanced adenoma polyps compared to the adjacent normal samples. The estimated AUC for ANXA2 and LINC00460 was 0.88 - 0.85 with 93%-90% sensitivity and 81%-70% specificity. In addition, eight MITs were shared between ANXA2 and LINC00460. Enrichment analysis detected several GO terms and pathways, including HIF-1α associated with cancer development. CONCLUSION: In conclusion, the expression of the ANXA2 and LINC00460 were significantly elevated in pre-cancerous polyps, especially in high-risk adenomas. Collectively, ANXA2 and LINC00460 may be administered as potential prognostic biomarkers in patients with a precancerous large intestine lesion as an alarming issue.

Susceptibility Assessment of Groundwater Nitrate Contamination Using an Ensemble Machine Learning Approach.

Groundwater pollution susceptibility mapping using parsimonious approaches with limited data is of utmost importance for water resource and health planning, especially in data-scarce regions. Current research assesses groundwater nitrate susceptibility by considering the various combination of explanatory variables. In this study, the novel machine learning models of weighted subspace random forest (WSRF) and generalized additive model using LOESS (GAMLOESS) are applied, and the results are compared with well-known machine learning models of K-nearest neighbors (KKNN) and random forest (RF). The optimum combination of inputs for groundwater nitrate susceptibility mapping is identified using the k-fold cross-validation methodology. Results indicated that the combination of variables of precipitation, groundwater level, and lithology had the best performance among the 16 combinations. Modeling performance using the optimum combination demonstrated that the new ensemble approach, the WSRF model, had superior performance according to the evaluation metrics of accuracy (0.87), kappa (0.73), precision (0.92), false alarm ratio (0.08), and critical success index (0.75). The susceptibility assessment results of this paper can be a useful tool in developing strategies for the prevention and protection of groundwater pollution.

A Systematic Review of Interleukin-17 in Oral Lichen Planus: From Etiopathogenesis to Treatment.

Lichen planus (LP) is a chronic autoimmune disease of skin and mucous membranes. World Health Organization has announced oral lichen planus (OLP) as a premalignant lesion. The exact etiology of OLP remains unknown; however, different mechanisms may be involved in its immunopathogenesis. The upregulation of cytokines, chemokines, and adhesion molecules is consistent with a persistent and erratic immunological response to OLP-mediated antigens generated by oral keratinocytes and innate immune cells. These molecules attract T cells, and mast cells to the disease site and regulate complex interactions among cells that lead to death of keratinocytes, degradation of basement membrane, and chronicity of the disease. It is believed that CD8+ and CD4+ T helper 1 (Th1) cells are the main lymphocytes involved in this process, although recent evidence suggests implication of other T helper subgroups, such as Th23, Th17, and regulatory T cells (Tregs), proposing a more complex cellular immunity process to be involved in its pathogenesis. The emphasis of this research review is on the function of IL-17 in the pathophysiology of OLP and how current discoveries may point to future treatment strategies. This research protocol will follow Preferred Reporting Items for Systematic Reviews (PRISMA 2020) checklist. An electronic search was conducted in PubMed, Scopus, Google Scholar, Embase, and Cochrane databases for articles published from 1960 to June 2022. Based on the eligibility criteria, 21 articles were enrolled. In comparison to healthy controls, the findings of this review demonstrated greater expression of IL-17 and Th-17 in the blood, saliva, and tissues of OLP and LP patients. Additionally, there was a strong link between the relative levels of IL-17 and IL-23 expression. Treatment with monoclonal antibodies against Th-17/Tc-17, IL-12/IL-23, and IL-23 would result in significant long-term improvement of LP symptoms.

Mesenchymal stem cell and endothelial progenitor cells coinjection improves LPS-induced lung injury via Tie2 activation and downregulation of the TLR4/MyD88 pathway.

Sepsis is one of the most important complications of infection with a high mortality rate. Recently, cell therapy has been widely used to reduce the symptoms of sepsis. It has been previously reported that mesenchymal stem cell (MSC) and endothelial progenitor cells (EPC) therapy have beneficial effects in experimental models of sepsis. The effects of coculture of MSC and EPC have not yet been used to treat sepsis. Therefore, the aim of this study was to investigate the therapeutic potential of EPC + MSC coculture on the residual effects of sepsis in a lipopolysaccharide (LPS)-induced mice model. Coinjections of EPC + MSC significantly enhanced the survival rate of LPS-induced mice, decreased concentrations of pro-inflammatory cytokines, and increased the level of anti-inflammatory cytokine. The LPS-induced mice that were treated with EPC + MSC showed a notable reduction in pulmonary edema, hepatic enzymes, and C-reactive protein level compared with the control group. Our results showed that coinjection of EPC + MSC up and downregulates Tie2 and TLR4/MyD88 signaling pathways in LPS-induced mice, respectively. Also, in vitro study showed that viability, adhesion, and migration in coculture cells is significantly decreased after being induced with 10 µg/ml LPS. Our results showed that LPS impaired the functional activity of the cocultured EPC + MSC via upregulation of the TLR4/MyD88 signaling pathway, which may be associated with decreased pTie2/Tie2 expression. In conclusion, coinjection of EPC and MSC modulated the TLR4/MyD88 signaling pathway that leads to reduce the inflammatory response. This study may provide promising results for the introduction of cocultured cells to manage infectious diseases and balance the immune response through immune regulatory function.

Towards a flood vulnerability assessment of watershed using integration of decision-making trial and evaluation laboratory, analytical network process, and fuzzy theories.

Among natural disasters, flood is increasingly recognized as a serious worldwide concern that causes the most damages in parts of agriculture, fishery, housing, and infrastructure and strongly affects economic and social activities. Universally, there is a requirement to increase our conception of flood vulnerability and to outstretch methods and tools to assess it. Spatial analysis of flood vulnerability is part of non-structural measures to prevent and reduce flood destructive effects. Hence, the current study proposes a methodology for assessing the flood vulnerability in the area of watershed in a severely flooded area of Iran (i.e., Kashkan Watershed). First interdependency analysis among criteria (including population density (PD), livestock density (LD), percentage of farmers and ranchers (PFR), distance to industrial and mining areas (DTIM), distance to tourist and cultural heritage areas (DTTCH), land use, distance to residential areas (DTRe), distance to road (DTR), and distance to stream (DTS)) was conducted using the decision-making trial and evaluation laboratory (DEMATEL) method. Hence, the cause and effect factors and their interaction levels in the whole network were investigated. Then, using the interdependency relationships among criteria, a network structure from flood vulnerability factors to determine their importance of factors was constructed, and the analytical network process (ANP) was applied. Finally, with the aim to overcome ambiguity, reduce uncertainty, and keep the data variability, an appropriate fuzzy membership function was applied to each layer by analyzing the relationship of each layer with flood vulnerability. Importance analysis indicated that land use (0.197), DTS (0.181), PD (0.180), DTRe (0.140), and DTR (0.138) were the most important variables. The flood vulnerability map produced by the integrated method of DEMATEL-ANP-fuzzy showed that about 19.2% of the region has a high to very high flood vulnerability.

A fast-growing schwannoma of the tongue in a 15-year-old Iranian male: Review of literature and case report.

Schwannoma can be included in the list of differential diagnoses of tongue masses but seems to be a rare finding in the Iranian population. The current case was presented as an exophytic nodular sessile mass which was growing fast.

Evaluation the effect of ZnO nanoparticle derived Bacillus subtilis on the expression of efflux pump genes (AdeB AdeRS) in Acinetobacter baumannii.

PURPOSE: Green approach to the nanoparticles, including metal oxides due to inevitable disadvantages of physical or chemical synthesis routes is attractive nowadays. Zink oxide (ZnO) nanoparticles play a key role in the medical and pharmaceutical fields. This research aimed to study the biologically synthesized ZnO nanoparticle using Bacillus subtilis, and evaluated its antibacterial properties. METHODS: Bacillus subtilis culture in a broth nutrient environment was used, followed by adding the Zinc acetate dehydrate. Biosynthesis of the nanoparticles was confirmed by the XRD, FTIR, and SEM imaging. The antibacterial effects of NPs on the expression of AdeB efflux pump genes and the AdeRS regulator were studied; clinical species of the Acinetobacter baumannii were collected from clinical samples of Khorramabad, using the phenotypic (MIC) and the genotypic methods through real-time PCR. RESULTS: X-ray diffraction pattern (XRD) result showed, that all of the peaks were related to the ZnO, and no other peaks were detected; it also demonstrated nanostructure nature with crystallite size of 25-50 nm. The results indicated, that the antibacterial properties of the nanoparticle increased the AdeRS expression and decreased the AdeB expression in 40% of the A. Baumannii. In addition, there was an increase in the AdeB expression in 60% of the species, indicating an increased probability for mutation. CONCLUSION: Given the desirable inhibitory effects of biosynthesized ZnO NPs on the expression of AdeB and AdeRS, which play an important role in the pharmaceutical resistance of Acinetobacter species, it seems that ZnO NPs can be used as a medication candidate in pharmaceutical industry in the future.

Patch test of dental materials in Oral Lichen Planus with considering the role of saliva.

Lichen planus is the most common skin disease that affects the oral mucosa. Oral Lichen Planus is a T-cell-mediated autoimmune disorder. In the current study, for the first time, an oral cavity condition in skin patch tests with adding saliva is simulated. In addition, the patch results are compared with healthy subjects. Forty-one OLP patients and 63 healthy subjects were enrolled in the study. All participants were provided with patch tests, including allergens, in combination with saliva in chambers. Allergens from the European baseline (standard) series selected according to the most prevalent positive results in the previous study were applied. Positive results of Mercury and Cobalt tests were significantly higher in the case group. In this study, the differentiation of patients with lichen planus and lichenoid was identified according to the Van der Meij & Van der Waal criteria. The patch test was conducted for healthy individuals as well. The most important of all was the use of patients' saliva in the patch test, done for the first time in this field. In the case of OLP, a patch test can help identify positive reactions to dental materials; thus, the replacement of dental restorations may be needed.

Mouthwash Containing Vitamin E, Triamcinolon, and Hyaluronic Acid Compared to Triamcinolone Mouthwash Alone in Patients With Radiotherapy-Induced Oral Mucositis: Randomized Clinical Trial.

One of the most common side effects of radiotherapy in head and neck cancers is mucositis. Despite all the studies conducted on new therapies proposed for oral mucositis caused by radiation therapy, a single standard treatment strategy has not been developed yet. In the present study, for the first time, the effectiveness of the treatment with a combined mouthwash containing vitamin E (as an antioxidant), triamcinolone (as an anti-inflammatory agent) and hyaluronic acid (HA) (as a local reducer used for reducing the effects of ROS on the mucosa, with ameliorative effects (improving the healing process) compared to triamcinolone mouthwash alone was investigated in patients with radiotherapy-induced oral mucositis. This study was a randomized triple-blind clinical trial performed on 60 patients underwent radiotherapy on an outpatient basis. The combined mouthwash containing vitamin E, triamcinolone, and hyaluronic acid compared to triamcinolone mouthwash alone was prescribed for 4 weeks. The severity of oral mucositis was assessed based on the WHO classification and the intensity of pain was assessed using the numerical pain intensity scale. According to the analysis performed in the first, second, third and fourth weeks, the reduction of oral mucositis grade in the intervention group was significantly higher than in the comparison group. In the first, second, third, and fourth weeks, the reduction in pain intensity in the intervention group was significantly higher than in the comparison group (P < 0.001). The combined mouthwash containing vitamin E, hyaluronic acid and triamcinolone acetonide can be used as an effective treatment for oral mucositis caused by radiation therapy, which is probably the result of antioxidant, anti-inflammatory and improved healing process mechanisms due to the biological nature of the components of this mouthwash. TRIAL REGISTRATION: This study was registered in the WHO Primary registry (IRCT) with the code IRCT20190428043407N. Registered on 20 July 2019, https://www.irct.ir/trial/39231.

Susceptibility mapping of groundwater salinity using machine learning models.

Increasing groundwater salinity has recently raised severe environmental and health concerns around the world. Advancement of the novel methods for spatial salinity modeling and prediction would be essential for effective management of the resources and planning mitigation policies. The current research presents the application of machine learning (ML) models in groundwater salinity mapping based on the dichotomous predictions. The groundwater salinity is predicted using the essential factors (i.e., identified by the simulated annealing feature selection methodology) through k-fold cross-validation methodology. Six ML models, namely, flexible discriminant analysis (FDA), mixture discriminant analysis (MAD), boosted regression tree (BRT), multivariate adaptive regression spline (MARS), random forest (RF), support vector machine (SVM), were employed to groundwater salinity mapping. The results of the modeling indicated that the SVM model had superior performance than other models. Variables of soil order, groundwater withdrawal, precipitation, land use, and elevation had the most contribute to groundwater salinity mapping. Results highlighted that the southern parts of the region and some parts in the north, northeast, and west have a high groundwater salinity, in which these areas are mostly matched with soil order of Entisols, bareland areas, and low elevations.