syedzayyan/paper_mill_benchmark huggingface dataset:
Capsaicin Alleviates Vascular Endothelial Dysfunction and Cardiomyopathy via TRPV1/eNOS Pathway in Diabetic Rats

Endothelial dysfunction and cardiomyopathy are considered to be important vascular complications associated with diabetes.This study was designed to investigate whether capsaicin (cap), a selective trpv1 agonist, could prevent diabetes-induced endothelial dysfunction and cardiomyopathy.Methods.Male sprague dawley rats aged 8 weeks were injected intraperitoneally with streptozotocin (stz, 50 mg/kg) to establish the diabetes model.The diabetic rats were randomly divided into the untreated diabetes group (dm, 10/group) and diabetes plus cap treatment group (dm+cap, 10/group); meanwhile, the nondiabetic healthy rats were used as normal controls (10/group).Dm+cap group were treated with cap by gavage for 8 weeks.The cultured mouse vascular endothelial cells were exposed to different concentrations of glucose in the presence or absence of cap treatment.The trpv1 inhibitor capsazepine (cpz) and e nos inhibitor l-name were used in vivo and in vitro experiment.Results.Cap treatment significantly decreased the serum total cholesterol (tc) and total triglyceride (tg) and ameliorated the pathogenesis and fibrosis in the heart, while did not significantly improve plasma glucose level and the body weights of diabetic rats.In addition, cap enhanced the expression of trpv1 and e nos in the heart and normalized the vascular permeability under diabetic state.Similarly, cap treatment also increased nitric oxide and reduced reactive oxygen species.The same results were observed in cultured mouse vascular endothelial cells by cap treatment.These beneficial effects of cap were abolished by either cpz or l-name.Conclusions.Cap might protect against hyperglycemia-induced endothelial dysfunction and diabetic cardiomyopathy through trpv1/e nos pathway.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Black Truffle Extract Exerts Antidiabetic Effects through Inhibition of Inflammation and Lipid Metabolism Regulation

Black truffle, a culinary and medical fungus, is highly valued worldwide for its nutritional and therapeutic importance.To enhance the existing knowledge about the beneficial properties, this study investigates the antioxidant, antihyperlipidemic, and anti-inflammatory effects of black truffle extract in in vitro biochemical assays and animal study.Briefly, black truffle extract was administered orally to treat streptozotocin- (stz-) induced diabetic wistar rats for 45 days.At the end of the experimental duration, rats were sacrificed to perform biochemical and gene expression analyses related to lipid regulatory and inflammatory pathways.Our results indicated that total cholesterol, triglycerides, free fatty acids, phospholipids, and low-density lipoprotein in different tissues and circulation were significantly increased in diabetic rats.Furthermore, the β-hydroxy β-methylglutaryl-co a enzyme was also significantly increased; lipoprotein lipase and lecithin–cholesterol acyltransferase enzymes were significantly decreased in diabetic rats.However, the above conditions were reversed upon black truffle extract feeding.Furthermore, black truffle extract was also found to downregulate the expression of proinflammatory cytokines (tumor necrosis factor-α and interleukin-6) and lipid regulatory genes (serum regulatory element-binding protein-1 and fatty acid synthase).The truffle extract-treated effects were comparable to glibenclamide and medication commonly used to treat diabetes mellitus.Overall, our results suggested that black truffle possesses strong antihyperlipidemic and anti-inflammatory effects on diabetic rats.These findings will enhance the current knowledge about the therapeutic importance of black truffles.They might be exploited as a possible food supplement or even as a natural source of pharmaceutical agents for diabetes prevention and treatment.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Biorational Control of Callosobruchus maculatus (Coleoptera: Buchidae) in Stored Grains with Botanical Extracts

Globally, around 2000 plant species are used against pest control.The utilization of botanicals is considered the most economic and biodegradable methods for the control of stored grains pests.Therefore, the current study was carried out to investigate the repellency potential of five botanicals against callosbruchus maculatus f.In haripur, pakistan.The concentrations of azadirachta indica l., nicotiana tabacum l., melia azedarach l., nicotiana rustica l., and thuja orientalis l.Were, i.e., 0.5, 1.0, 1.5, 2.0, 2.5, and 3.0% in four replicates to establish contact effects.The data were recorded after 1, 2, 3, 6, 24, 48, 72, and 96 hours.The repellency effect of these plant species against c.Maculatus were increased in both the time‐ and dose‐dependent manner, and highest effect was observed at 72 h.In addition, the repellency effect was 91% for a.Indica (class: v), 86% m.Azedarach , 82%, n.Tabacum (class: v), 79% n.Rustica (class: iv), and 75% t.Orientalis (class: iv) at 3% concentration against c.Maculatus .Furthermore, following 96 hours’ exposure to treatment the sensitivity response of insects decreases as the time interval increases, i.e., 86% a.Indica (class: v) was followed by 71% m.Azedarach (class: iv), 65% n.Tabacum (class: iv), 61% n.Rustica (class: iv), and t.Orientalis 57% (class: iii) repellency at highest concentration of 3%.The current study concluded that a.Indica and m.Azedarach can be incorporated for the management of c.Maculatus and these plant species might be helpful in the productions of new biopesticides.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Effect of Previous Cancer History on Survival of Patients with Different Subtypes of Breast Cancer

Patients with a previous cancer history (pca) are routinely excluded from most clinical trials, which may limit the accuracy and universality of clinical trials.We aimed to explore the association between pca and survival of patients with different molecular subtypes of breast cancer.Patients diagnosed with breast cancer from the surveillance, epidemiology, and end results (seer) database between 2010 and 2015 were included in this retrospective cohort study.The primary outcome was overall survival (os), which was calculated from date of diagnosis to date of death or censor date during this period.The relationship between pca and os of patients with different molecular subtypes of breast cancer was analyzed by the kaplan‐meier curves and multivariate cox proportional‐hazards model.A total of 35,640 primary breast cancer patients were included, and 2,038 (5.72%) patients had a pca.Female genital system cancer (491 cases, 24.09%) was the largest proportion type of previous cancer, and her2‐positive (24,754 cases, 69.46%) breast cancer was the most common subtype.Patients with previous female genital/endocrine system cancer history and other cancers history were associated with a poorer os in overall patients, and in patients with triple‐negative and her2‐positive subtypes ( p &lt; 0.05).In patients with luminal a and luminal b subtypes, previous other cancers history was related to poor os ( p &lt; 0.05), while female genital/endocrine system cancer history may not influence the os ( p &gt; 0.05).Subgroup analyses presented that pca was related to poor os in patients aged 40‐64 years and ≥65 years ( p &lt;0.05), while prognosis in patients aged 18‐40 years may not be influenced by pca ( p &gt; 0.05).The impact of pca on the prognosis of breast cancer patients was related to molecular type, patient age, and type of pca.In clinical trials of breast cancer, the exclusion criteria for pca patients may be modified according to the above variables.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Ecotoxicological Assessment of Heavy Metal and Its Biochemical Effect in Fishes

Level of toxic heavy metal concentration like lead (pb), chromium (cr), cadmium (cd), iron (fe), copper (cu), zinc (zn), and nickel (ni) in thirty‐six soft and hard organs and their impact on lipid profile of hypophthalmichthys molitrix and catla catla fish species inhibiting in tanda dam reservoir were investigated.The heavy metal concentrations in water, sediment, and fish of the different regions in the reservoir were determined with atomic absorption spectrophotometer.Lipid profile was carried out by aoac official methods.The results showed that pb was dominant among all the heavy metals in six organs, and its maximum concentration of pb (22.5 mg kg -1 and 32.9 mg kg -1 ) was observed in scales in hypophthalmichthys molitrix and tail of catla catla , respectively.The maximum concentrations of cd were observed in the head, scales, fins, and gills of catla catla .The bioaccumulation of heavy metals was significantly different at ( p ≤ 0.01) within the organs and between the fish species.The lipid concentration was minimum in those organs where the concentrations of heavy metals were maximum.It is clear from the findings that heavy metal accumulation reduces the lipid content of fish.It is inevitable to monitor the tanda dam reservoir to safeguard human health.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Design and Application of Electronic Rehabilitation Medical Record (ERMR) Sharing Scheme Based on Blockchain Technology

As the value of blockchain has been widely recognized, more and more industries are proposing their blockchain solutions, including the rehabilitation medical industry.Blockchain can play a powerful role in the field of rehabilitation medicine, bringing a new research idea to the management of rehabilitation medical data.The electronic rehabilitation medical record (ermr) contains rich data dimensions, which can provide comprehensive and accurate information for assessing the health of patients, thereby enhancing the effect of rehabilitation treatment.This paper analyzed the data characteristics of ermr and the application requirements of blockchain in rehabilitation medicine.Based on the basic principles of blockchain, the technical advantages of blockchain used in ermr sharing have been studied.In addition, this paper designed a blockchain‐based ermr sharing scheme in detail, using the specific technologies of blockchain such as hybrid p2p network, block‐chain data structure, asymmetric encryption algorithm, digital signature, and raft consensus algorithm to achieve distributed storage, data security, privacy protection, data consistency, data traceability, and data ownership in the process of ermr sharing.The research results of this paper have important practical significance for realizing the safe and efficient sharing of ermr, and can provide important technical references for the management of rehabilitation medical data with broad application prospects

Journal: BioMed Research International (2021)
Publication types: Research Article;
Comprehensive Treatment of Urban Landscape Water Environment Based on Aquatic Plants Purification and Restoration

Water is the source of life and the foundation for the growth of all things.Water is also an important part of the urban ecological structure.A healthy water environment is the basis for human survival and development, and it is also one of the important conditions for the harmonious development of cities.With the rapid development of the economy and the improvement of the level of urbanization, the water environment pollution in the urban landscape has become more and more serious, such as serious water eutrophication and rapid algae reproduction in the water environment.As plants that can survive in water, aquatic plants have always been an important main body of the water ecological environment.It plays an unparalleled role in water environment purification and comprehensive treatment of water pollution.This paper aims to study the comprehensive management of urban landscape water environment based on the purification and restoration of aquatic plants.It combines the purification and restoration ability of aquatic plants and genetic algorithm to carry out the comprehensive management experiment of urban landscape water environment.The conclusion shows that after the purification and restoration of aquatic plants and comprehensive pollution control, the comprehensive eutrophic substance content of the urban landscape pond water body decreased by 21.7 mg, and the water body transparency increased by 20 cm.

Journal: Security and Communication Networks (2022)
Publication types: Research Article;
Classification and Detection of Mesothelioma Cancer Using Feature Selection-Enabled Machine Learning Technique

Cancer of the mesothelium, sometimes referred to as malignant mesothelioma (mm), is an extremely uncommon form of the illness that almost always results in death.Chemotherapy, surgery, radiation therapy, and immunotherapy are all potential treatments for multiple myeloma; however, the majority of patients are identified with the disease at an advanced stage, at which time it is resistant to these therapies.After obtaining a diagnosis of advanced multiple myeloma, the average length of time that a person lives is one year after hearing this news.There is a substantial link between asbestos exposure and mesothelioma (mm).Using an approach that enables feature selection and machine learning, this article proposes a classification and detection method for mesothelioma cancer.The cfs correlation‐based feature selection approach is first used in the feature selection process.It acts as a filter, selecting just the traits that are relevant to the categorization.The accuracy of the categorization model is improved as a direct consequence of this.After that, classification is carried out with the help of naive bayes, fuzzy svm, and the id3 algorithm.Various metrics have been utilized during the process of measuring the effectiveness of machine learning strategies.It has been discovered that the choice of features has a substantial influence on the accuracy of the categorization.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Bioinformatics Analyses Reveals a Comprehensive Landscape of CXC Chemokine Family Functions in Non-Small Cell Lung Cancer

S .Lung cancer is a major source of tumor‐related death each year with non‐small cell lung cancer (nsclc) being a prevalent subtype.The metastasis from nsclc to the brain usually imposes many neuron disorders.Previous studies have suggested that communications among cancer cells and interstitial cells are essential in tumorigenesis and are influenced by chemokines.In the tumor microenvironment, cxc chemokines can participate in the shifting of immune cells and manage tumor cell condition, thus affecting the progression of cancer and patient destinies.However, the expression and values of cxc chemokine family in nsclc have not been systematically illustrated using public databases.Methods .Ualcan, string, oncomine, gene mania, c bio portal, gepia, tisidb, trrust, timer, kaplan‐meier plotter, and r software were utilized in this study.Results .Based on the timer and uaclcan databases, in luad patients, the expression levels of cxcl10, cxcl13, and cxcl14 were significantly elevated while the transcriptional levels of cxcl2/3/4/7/12/16 were significantly reduced; in lusc patients, the expression levels of cxcl6/10/13/14 were significantly elevated while the expression levels of cxcl2/3/4/5/7/11/12/16/17 were significantly reduced.We found remarkable relevance between the pathological stages of luad patients and the expressions of cxcl8 (positive) and cxcl17 (negative).Similarly, there are significant correlations between the pathological stages of lusc patients and the expressions of cxcl1/2/6/17.In luad, patients with low expression levels of cxcl1/4/7/8 and patients with high expression levels of cxcl12/14/16 were associated with a significantly better prognosis.But in lusc, all correlations between chemokines and prognosis are statistically insignificant.Pairwise expression correlation analysis among cxc chemokines shows that there are 7 significant correlations (between cxcl1 and cxcl2, between cxcl1 and cxcl3, between cxcl1 and cxcl8, between cxcl2 and cxcl3, between cxcl4 and cxcl7, between cxcl9 and cxcl10, and between cxcl9 and cxcl11) in luad and 4 significant correlations (between cxcl1 and cxcl8, between cxcl2 and cxcl3, between cxcl4 and cxcl7, and between cxcl10 and cxcl11) in lusc.Significant correlations between the expressions of cxc chemokines and the infiltration of six common types of immune cells were also discovered in both luad and lusc.Conclusions .We provided a comprehensive landscape of the cxc chemokine family in luad and lusc using the bioinformatics method and found differences between lusc and luad in the field of cxc chemokines.Our study may help validate and identify known novel immunotherapeutic targets and prognostic biomarkers.

Journal: BioMed Research International (2021)
Publication types: Research Article;
Betamethasone Dipropionate Derivatization, Biotransformation, Molecular Docking, and ADME Analysis as Glucocorticoid Receptor

Betamethasone is an important glucocorticoids (gcs), frequently used to cure allergies (such as asthma and angioedema), crohn’s disease, skin diseases (such as dermatitis and psoriasis), systemic lupus erythematosus, rheumatic disorders, and leukemia.Present investigation deals to find potential agonist of glucocorticoid receptors after biotransformation of betamethasone dipropionate (1) and to carry out the molecular docking and adme analyses.Biotransformation of 1 was carried out with launaea capitata (dandy) roots and musa acuminate (banana) leaves.M.Acuminate furnished low‐cost value‐added products such as sananone dipropionate (2) in 5% yields.Further, biocatalysis of sananone dipropionate (2) with m.Acuminate gave sananone propionate (3) and sananone (4) in 12% and 7% yields, respectively.However, sananone (4) was obtained in 37% yields from launaea capitata .Compound 5 was obtained in 11% yield after β ‐elimination of propionic acid at c‐17 during oxidation of compound 1.The structure elucidation of new compounds 2‐5 was accomplished through combined use of x‐ray diffraction and nmr (1d and 2d) studies.In addition to this, molecular docking and adme analyses of all transformed products of 1 were also done.Compounds 1‐5 showed ‐12.53 to ‐10.11 kcal/mol potential binding affinity with glucocorticoid receptor (gr) and good adme profile.Moreover, all the compounds showed good oral bioavailability with the octanol/water partition coefficient in the range of 2.23 to 3.65, which indicated that compounds 1‐5 were in significant agreement with the given criteria to be considered as drug‐like.

Journal: BioMed Research International (2022)
Publication types: Research Article;
AZ63/Ti/Zr Nanocomposite for Bone-Related Biomedical Applications

Considering the unique properties of magnesium and its alloy, it has a vast demand in biomedical applications, particularly the implant material in tissue engineering due to its biodegradability.But the fixing spares must hold such implants till the end of the biodegradation of implant material.The composite technology will offer the added benefits of altering the material properties to match the requirements of the desired applications.Hence, this experimental investigation is aimed at developing a composite material for manufacturing fixing spares like a screw for implants in biomedical applications.The matrix of az63 magnesium alloy is reinforced with nanoparticles of zirconium (zr) and titanium (ti) through the stir casting‐type synthesis method.The samples were prepared with equal contributions of zirconium (zr) and titanium (ti) nanoparticles in the total reinforcement percentage (3%, 6%, 9%, and 12%).The corrosive and tribological studies were done.In the corrosive study, the process parameters like na cl concentration, p h value, and exposure time were varied at three levels.In the wear study, the applied load, speed of sliding, and the distance of the slide were considered at four levels.Taguchi analysis was employed in this investigation to optimize the reinforcement and independent factors to minimize the wear and corrosive losses.The minimum wear rate was achieved in the 12% reinforced sample with the input factor levels of 60 n of load on the pin, 1 m/s of disc speed at a sliding distance was 1500 m, and the 12% reinforce samples also recorded a minimum corrosive rate of 0.0076 mm/year at the operating environment of 5% na cl‐concentrated solution with the p h value of 9 for 24 hrs of exposure.The prediction model was developed based on the experimental results.

Journal: BioMed Research International (2023)
Publication types: Research Article;
Automatic Detection of Epilepsy Based on Entropy Feature Fusion and Convolutional Neural Network

Epilepsy is a neurological disorder, caused by various genetic and acquired factors.Electroencephalogram (eeg) is an important means of diagnosis for epilepsy.Aiming at the low efficiency of clinical artificial diagnosis of epilepsy signals, this paper proposes an automatic detection algorithm for epilepsy based on multifeature fusion and convolutional neural network.Firstly, in order to retain the spatial information between multiple adjacent channels, a two-dimensional eigen matrix is constructed from one-dimensional eigenvectors according to the electrode distribution diagram.According to the feature matrix, sample entropy se, permutation entropy pe, and fuzzy entropy fe were used for feature extraction.The combined entropy feature is taken as the input information of three-dimensional convolutional neural network, and the automatic detection of epilepsy is realized by convolutional neural network algorithm.Epilepsy detection experiments were performed in chb-mit and tuh datasets, respectively.Experimental results show that the performance of the algorithm based on spatial multifeature fusion and convolutional neural network achieves excellent results.

Journal: Oxidative Medicine and Cellular Longevity (2022)
Publication types: Research Article;
Attention Layer-Based Multidimensional Feature Extraction for Diagnosis of Lung Cancer

At present, early lung cancer screening is mainly based on radiologists’ experience in diagnosing benign and malignant pulmonary nodules by lung ct images.On the other hand, intraoperative rapid freezing pathology needs to analyse the invasive adenocarcinoma nodules with the worst recovery in adenocarcinoma.Moreover, rapid freezing pathology has a low diagnostic accuracy for small‐diameter nodules.Because of the above problems, an algorithm for diagnosing invasive adenocarcinoma nodules in ground‐glass pulmonary nodules is based on ct images.According to the nodule space information and plane features, sample data of different dimensions are designed, namely, 3d space and 2d plane feature samples.The network structure is designed based on the attention mechanism and residual learning unit; 2d and 3d neural networks are along built.By fusing the feature vectors extracted from networks of different dimensions, the diagnosis results of invasive adenocarcinoma nodules are finally obtained.The algorithm was studied on 1760 ground‐glass nodules with 5‐20 mm diameter collected from a city chest hospital with surgical and pathological results.There were 340 nodules with invasive adenocarcinoma and 340 with noninvasive adenocarcinoma.A total of 1420 invasive nodule samples were cross‐validated on this example dataset.The classification accuracy of the algorithm was 82.7%, the sensitivity was 82.9%, and the specificity was 82.6%.

Journal: BioMed Research International (2022)
Publication types: Research Article;