bluuebunny/crossref_metadata_2025_split huggingface dataset:
Analysis of the content of chemical elements in horse hooves
Authors: Serwańska-Leja Katarzyna , Drożdżyńska Agnieszka , Uzar Tomasz , Durkalec-Michalski Krzysztof , Juzwa Wojciech , Nabzdyk Maria 
Published: May 2023

Abstract
The research was aimed at analysing the content of chemical elements in horse hooves and exploring their influence on hoof brittleness and the formation of laminitis. Moreover, the activity of the biofilm cells covering the horse's hoof was assessed and its microscopic structure was explored. The material used for the research was the hooves of Polish-Konik horses and sport horses. In order to determine the content of chemical elements, the method of atomic absorption spectrometry was used. The activity of biofilm cells was assessed using flow cytometry. The research showed significant differences in the content of potassium, manganese, iron and aluminum, as well as high zinc deficiencies. For this reason, it is recommended to add the preparations for horses with poor hoof quality with potassium and zinc, and to limit the consumption of manganese and aluminum. Assessment of the activity of the biofilm cells showed that it is mainly composed of dead cells, however the activity differed depending on the type of horse. The microscopic structure analysis shows differences in the number and size of the hoof tubules.
Dose effects of restorer gene modulate pollen fertility in cotton CMS-D2 restorer lines via auxin signaling and flavonoid biosynthesis
Authors: Zang Rong , Shahzad Kashif , Zhang Xuexian , Guo Liping , Qi Tingxiang , Tang Huini , Wang Ruijie , Wang Hailin , Qiao Xiuqin , Zhang Meng , Wu Jianyong , Xing Chaozhu 
Published: May 2023

Abstract
CMS-D2 is an economical and effective system for producing hybrid cotton seeds than artificial and chemical emasculation methods. However, the unstable restoring ability of restorer lines is a main barrier in the large-scale application of "three-line" hybrid cotton. Our phenotypic investigation determined that the homozygous Rf1Rf1 allelic genotype had a stronger ability to generate fertile pollen than the heterozygous Rf1rf1 allelic genotype. To decipher the genetic mechanisms that control the differential levels of pollen fertility, an integrated metabolomic and transcriptomic analysis was performed on pollen grains at two environments using four cotton genotypes differing in Rf1 alleles or cytoplasm. Totally 5,391 differential metabolite features were detected, and 369 specific differential metabolites (DMs) were identified between homozygous and heterozygous Rf1 allelic genotypes with CMS-D2 cytoplasm. Additionally, transcriptome analysis identified 2,490 differentially expressed genes (DEGs) and 96 unique hub DEGs with dynamic regulation in this comparative combination. Further integrated analyses revealed that several key DEGs and DMs involved in indole biosynthesis, flavonoid biosynthesis, and sugar metabolism had strong network linkage with fertility restoration. In vitro application of auxin analogue NAA and inhibitor Auxinole confirmed that over-activated auxin signaling might inhibit pollen development whereas suppressing auxin signaling partially promoted pollen development in CMS-D2 cotton. Our results provide new insight into how the dosage effects of the Rf1 gene regulate pollen fertility of CMS-D2 cotton.
Development and External Validation of a Predictive Multivariable Model for Palliative Cancer Patients’ Survival (PACS)
Authors: Porcu Luca , Recchia Angela , Bosetti Cristina , Chiaruttini Maria Vittoria , Uggeri Sara , Lonati Giada , Ubezio Paolo , Rizzi Barbara , Corli Oscar 
Published: May 2023

Abstract
Purpose Various prognostic indexes have been proposed to improve physicians’ ability to predict survival time in advanced cancer patients admitted to palliative care (PC), but no optimal score has still been identified. The study therefore aims to develop and externally validate a new multivariable predictive model in this setting.Methods We developed the model on 1020 cancer patients prospectively enrolled to home care palliative care at VIDAS Milan, Italy, between May 2018 and February 2020 and followed-up to June 2020. The model was then validated among two separate samples of 544 home care and 247 hospice patients. Overall survival was considered as the primary outcome to develop and validate the model; Cox and flexible parametric Royston-Parmar regression models were used.Results Through a four-step modelling process, among 68 clinical factors considered, five predictors were included in the predictive model, i.e., rattle, heart rate, anorexia, liver failure, and the Karnofsky performance status. Patient’s survival probability at various time points was estimated. The predictive model showed a good calibration and moderate discrimination (area under the receiver operating characteristic curve between 0.72 and 0.79) in the home care validation set, but model calibration was suboptimal in hospice patients.Conclusions The new multivariable predictive model for palliative cancer patients’ survival (PACS model) includes clinical parameters routinely at patient’s admission to PC and can be easily used to facilitate immediate and appropriate clinical decisions for PC cancer patients in the home setting.
“Microwave-Assisted, Solvent Free, One Pot Synthesis of Novel Bioactive Imidazolyl - Pyrazole derivatives catalyzed by Mesolite type Natural Zeolite”
Authors: Dhotre Sandip , Pawar Ganesh , Pawar Rajendra , Vaidya Sayujjata 
Published: May 2023

Abstract

Novel Imidazolyl-Pyrazole derivatives have been synthesized by cyclocondensation of 1, 3-diphenyl pyrazole-4-carbaldehyde, benzil, and substituted aniline and ammonium acetate by using mesolite type natural zeolite as an efficient and heterogenous catalyst under microwave condition. The synthesised novel Imidazolyl-Pyrazole derivatives are fully characterized by FT-IR, 1H-NMR, 13C-NMR and LC-MS techniques. The synthesized Imidazolyl-Pyrazole derivatives were screened for anti-bacterial and anti-fungal activities and compared with standard drug molecules.
TNFα-induced altered miRNA expression links to NF-κB signaling pathway in endometriosis
Authors: Banerjee Saswati , Xu Wei , Doctor Aaron , Driss Adel , Nezhat Ceana , Sidell Neil , Taylor Robert N , Thompson Winston E , Chowdhury Indrajit 
Published: May 2023

Abstract
Endometriosis is a common gynecological inflammatory disorder characterized by immune system dysregulation, which is involved in lesion initiation and progression. Studies have demonstrated that several cytokines are associated with the evolution of endometriosis, including tumor necrosis factor-α (TNFα). TNFα is a non-glycosylated cytokine protein with potent inflammatory, cytotoxic, and angiogenic potential. In the current study, we examined the ability of TNFα to induce dysregulation of microRNAs (miRNAs) linked to NFkB-signaling pathways, thus contributing to the pathogenesis of endometriosis. Using RT-QPCR, the expression of several miRNAs were quantified in primary cells derived from eutopic endometrium of endometriosis subjects (EESC) and normal endometrial stromal cells (NESC) and also TNFα treated NESCs. The phosphorylation of the pro-inflammatory molecule NF-κB and the candidates of the survival pathways PI3K, AKT and ERK was measured by westernblot analysis. The elevated secretion of TNFα in EESCs downregulates the expression level of several miRNAs significantly (p < 0.05) in EESCs compared to NESC. Also treatment of NESCs with exogenous TNFα significantly reduced the expression of miRNAs in a dose-dependent manner to levels similar to EESCs. In addition, TNFα significantly increased the phosphorylation of the PI3K, AKT, ERK, and NF-κB signaling pathways. Notably, treatment with curcumin (CUR, diferuloylmethane), an anti-inflammatory polyphenol, significantly increased the expression of dysregulated miRNAs in EESC in a dose-dependent manner. Our findings demonstrate that TNFα is upregulated in EESCs, which subsequently dysregulates the expression of miRNAs, contributing to the pathophysiology of endometriotic cells. CUR effectively inhibits the expression of TNFα, subsequently altering miRNA levels and suppresses the phosphorylation of AKT, ERK, and NF-κB.
Identification of pyroptosis-related genes and potential drugs in diabetic nephropathy
Authors: Yan Meng , Li Wenwen , Wei Rui , Li Shuwen , Liu Yan , Huang Yuqian 
Published: May 2023

Abstract
Background Diabetic nephropathy (DN) is one of the serious microvascular complications of diabetes mellitus (DM). A growing body of research has demonstrated that the inflammatory state plays a critical role in the incidence and development of DN. Pyroptosis is a new way of programmed cell death, which has the particularity of natural immune inflammation. The inhibition of inflammatory cytokine expression and regulation of pathways related to pyroptosis may be novel strategies for DN prevention and treatment. Correlational studies of pyroptosis in DN, however, remain to be elucidated.Methods DN differentially expressed pyroptosis-related genes were identified via bioinformatic analysis Gene Expression Omnibus (GEO) dataset GSE96804. Dataset GSE30528 and GSE142025 were downloaded to verify pyroptosis-related differentially expressed genes (DEGs). Least absolute shrinkage and selection operator (LASSO) regression analysis was used to construct a pyroptosis-related gene predictive model. A consensus clustering analysis was performed to identify pyroptosis-related DN subtypes. Subsequently, Gene Set Variation Analysis (GSVA), Gene Ontology (GO) function enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were conducted to explore the differences between DN clusters. A protein–protein interaction (PPI) network was used to select hub genes and DGIdb database was used to screen potential therapeutic drugs/compounds targeting hub genes.Results A total of 24 differentially expressed pyroptosis-related genes were identified in DN. A 16 gene predictive model was conducted via LASSO regression analysis. On the basis of these 16 genes, DN cases were divided into two subtypes, and the subtypes are enriched in the regulation of inflammatory response, activation of immune response and cell metabolism. In addition, we identified 10 hub genes among these subtypes, and predicted 65 potential DN therapeutics that target key genes.Conclusion We identified 2 pyroptosis-related DN clusters and 65 potential therapeutical agents/compounds for DN, which might shed a light on the treatment of DN.
Machine Learning based Intelligent Model for Path Planning Obstacle Avoidance in Dense Environments for Autonomous Mobile Robot
Authors: Thakur Abhishek , Das Subhranil , Kumari Rashmi , Mishra Sudhansu Kumar 
Published: May 2023

Abstract
In this paper, a unique Machine Learning (ML) model namely, Adaptive Block Coordinate Descent Logistic Regression (ABCDLR), is proposed for segregating the movement of an Autonomous Mobile Robot (AMR) by framing it as three class problem, i.e., no, left, and right turn. The velocities of the left and right wheels, as well as the distance of the obstacle from AMR, are collected in real time by two Infrared (IR) and one Ultrasonic (US) sensors, respectively. The performance of the proposed algorithm is compared with three other state-of-the-art ML algorithms, such as, K-Nearest Neighbour (KNN), Naïve Baiyes, and Gradient Boosting, for obstacle avoidance by AMR; considering the accuracy, sensitivity, specificity, precision values for three different speed conditions, i.e., low, medium, and high. Various Logistic Regression (LR) model parameters, such as, pseudo R-squared (R2), Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), LL-null, and Log-Likelihood Ratio (LLR) are considered to investigate the performance of the proposed ABCDLR model. Furthermore, the proposed model has been applied for path planning in three different types of dense environments, and its performance is compared with four other competitive path planning approaches, such as, A*, Fuzzy Logic Controller(FLC), Vector Field Histogram(VFH) and ASGDLR.
WITHDRAWN: Analysis of ATPase-6 mtDNA mutations and telomere length in patients with bipolar disorder
Authors: Dirican Ebubekir , Özcan Halil , Uzunçakmak Sevgi Karabulut 
Published: May 2023

Abstract
This study's objective was to analyze ATPase-6 mtDNA mutations and telomere length in patients with bipolar disorder. 37 patients with bipolar disorder and 48 healthy individuals were included in this research. DNA samples of all patients and healthy individuals were isolated. To identify mtDNA mutations in patients, samples were first amplified by PCR, and then Sanger DNA sequencing was performed. RT-PCR method was used for relative telomere length analysis. T112A (m.8860A>G) mutation was detected in all patients (37/37). In addition, T53I (m.8684 C>T) mutations were detected in three patients (3/37) and L156L (m.8994 G>A) and S176N (m.9053 G>A) mutations in one patient each (1/37). Telomere lengths of patients with bipolar disorder were shorter than healthy individuals (p=0.0046). ROC analyses showed that telomere length has a significant diagnostic value for bipolar patients with 94.6% sensitivity and 45.8% specificity (AUC:0.678, 95% CI: 0.568-0.776, p=0.002). There were not statistically significant differences in telomere lengths according to mutation type (p>0.05). Also, there was no relation difference between ATPase-6 mtDNA mutations and telomere length and clinical demographic data (p>0.05). In conclusion, it was shown that patients with bipolar disorder have shorter telomere lengths than healthy individuals. Telomere length may be used as a diagnostic factor. Furthermore, the high frequency of ATPase-6 mtDNA mutations may be part of the genetic background of bipolar disorder. It would be beneficial to support studies with more extensive patient populations to confirm the results we found.
Differences Among Feminist and Non-Feminist Women on Weight Bias Internalization, Body Image, and Disordered Eating
Authors: Martin-Wagar Caitlin A. , Attaway Sarah E. , Melcher Katelyn A. 
Published: May 2023

Abstract
Background Previous research on whether feminist beliefs or self-identification are protective against body image disturbance and eating pathology in non-clinical populations has been variable. Further, no studies have examined feminism among those with diagnosed eating disorders. Additionally, feminist identity has yet to be examined in relation to weight stigma.Methods This study investigated if there are differences in body image, eating pathology, and weight stigma among feminist identity types in two samples using MANCOVAs. Participants completed self-report measures and were women with eating disorders (N = 100) and college women (N = 240).Results Sixty-four percent of the women with eating disorders and 75.8% of the college women identified as a feminist. An independent samples t-test found a significantly higher weight bias internalization in the clinical eating disorder sample than in the college women sample. A MANCOVA in the eating disorder sample found that feminists did not differ from non-feminists on weight bias internalization, body image, or eating pathology. In the college women sample, the MANCOVA also found no statistically significant differences between non-feminist and feminist women.Conclusions Results from this study suggest that sexism and weight stigma may function as self-sustainable systems of oppression. Findings highlight the need for further research investigating its weight bias internalization within eating disorder prevention efforts and interventions.
A synonymous variant in KCNJ11 leading to MODY13: a case report and literature review
Authors: Chen Congli , Piao Yurong , Sang Yanmei 
Published: May 2023

Abstract
137words Background: MODY13 (Maturity-onset diabetes of the young, type 13) is monogenic diabetes associated with the KCNJ11 mutation rarely reported to date. A patient with c.843C>T(p.L281=) in the KCNJ11 gene is reported only in a Chinese patient with congenital hyperinsulinemia. There is no patient diagnosed with MODY13 carrying a synonymous heterozygous variant in the KCNJ11 reported till now. Method: We followed a 9-year-old boy presenting ketosis and diagnosed with MODY13. Whole-exome sequencing (WES) and Sanger validation were performed on the proband and his parents, respectively. Then bioinformatics software was used to predict the RNA structure and protein function. Result: The clinical characteristics and genetic traits of a 9-year-old boy with MODY13 are described in this study. WES revealed the synonymous heterozygous variant c.843C>T (p.L281=) in the KCNJ11 exon 1 in this patient, which prompted the opposite phenotype previously described. The patient and his mother who carries c.843C>T have morphologically comparable RNA structures of KCNJ11 which is completely separated from his mother. Conclusion: A c.843C>T (p.L281=) variant in the KCNJ11 gene contributes to MODY13. In clinical practice, WES should be applied to diagnose hyperglycemia in patients without characteristic clinical symptoms of diabetes to improve prognosis.
Neolamarckia cadambahosts a putative novel deltapartitivirus: a revelation by transcriptome data-mining
Authors: Sidharthan V. Kavi , Ashajyothi Mushineni 
Published: May 2023

Abstract
Neolamarckia cadamba (Roxb.) Bosser is a medicinally important, fast-growing, timber-yielding tree species. In the present study, the virome of N. cadamba was explored using the publicly available N. cadamba transcriptome datasets and a putative novel virus, tentatively named as Neolamarckia cadamba virus 1 (NcV1), was identified. NcV1 contained two genome segments, each coding for a single protein. NcV1 RNA1 (1564 nt) encoded for an RNA dependent RNA polymerase (RdRp) protein while NcV1 RNA2 (1492 nt) encoded for a coat protein (CP). Phylogenetic and sequence similarity analyses revealed the relatedness of NcV1 to pepper cryptic virus 1 and pittosporum cryptic virus 1. Based on the species demarcation criteria, genome organization and phylogeny, NcV1 can be regarded a new member of the genus Deltapartitivirus.
A Case Report on Ayurvedic Management of Paraparesis with Lumbar Radiculopathy
Authors: Rathod Payal , Nakanekar Amit , Jaiswal Rashmi 
Published: May 2023

Abstract
Paraparesis is weakness in bilateral lower limbs. Lumbar radiculopathy is most commonly observed cause of paraparesis. Although surgical intervention is considered as treatment modality; cost and risk of surgery always stood as hurdles in patient care. This condition can be correlated with Katigrahaa (~weakness of lower back), Mansagata Vata (~neuromuscular diseases), Mansakshaya a (~depletion of Mansa), Asthimajjagatavata (~ necrotic condition) in Ayurveda.
56-year-old male presented with complaints of sudden weakness, Tingling, numbness, pain in Bilateral lower limbs, Unable to walk, Restriction of Movement, and pain at lumbar region. Magnetic Resonance Imaging (MRI) of whole spine revealed, severe spinal canal stenosis at L1-L2 disc level and Electro myelogram Nerve Conduction Velocity test showed motor axonopathy in both peroneal, femoral and right posterior tibial nerves. Patient was managed with External and internal Ayurveda treatment modalities. Significant improvement in Visual Analogue Scale (VAS) score from 8 to 2, Western Ontario and McMaster Universities (WOMAC) score from 81 to 24 and Gradually reduction in neurological symptoms was observed. Remission is also absent till next six month.
Ayurvedic treatment can be successfully used in managing paraparesis due to lumbar radiculopathy without any remission of symptoms.
Role of the microbiota in oncogenesis
Authors: Grigorievskaya Z. V. , Petukhova I. N. , Bagirova N. S. , Aginova V. V. , Kononets P. V. 
Published: May 2023

Objective. To conduct a systematic analysis of data on the results of studies published in scientific journals on the pro-carcinogenic and anticarcinogenic role of microbiota, as well as on the therapeutic potential of microorganisms in oncogenesis.Material and Methods. The articles were searched using the Web of Science, Scopus, PubMed, Medline, and eLIBRARY databases. More than 150 sources dedicated to the study of the carcinogenic function of the microbiota and the possible influence of its species and quantitative composition on the efficacy and toxicity of antitumor therapy were found. Data from 71 articles were included in the review.Results. The relationship between the gut microbiota and cancer is multifactorial and bilateral: pro-carcinogenic on the one hand and anti-carcinogenic on the other hand. Microorganisms can induce tumor growth and cancer development through DNA damage and induction of mutagenesis, trigger oncogenic signals, disruption of barrier function, as well as immune response system disruption. Depletion of microbiota, the development of dysbiosis and induction of chronic inflammatory state are negative factors in the development of cancer. The anticancer effect of microorganisms is presumably based on the production of tumor-suppressive metabolites that function through multiple immune reactions. Maintenance of barrier function, competitive exclusion of pathogenic bacteria, and direct action on immune cells to prevent inflammation are also important protective factors. The presence of intratumor microorganisms in various tumors has been noted. Changes in species and quantitative composition of cancer patients’ microbiota are influenced by diet, taking antibacterial drugs, chemo-, immuno- and radiation therapy. In turn, the microbiota can affect the ongoing treatment. Numerous studies on the influence of the gut microbiota on the efficacy of immunotherapy, particularly in disseminated melanoma, have been conducted. It has been suggested that primary resistance to immunotherapy may be related to the abnormal composition of the gut microbiota. The level of gut microfora composition diversity and the number of Faecalibacterium or Bacteroidales in the fecal microbiota have been suggested to be the predictor of response to anti-PD-1 therapy. To change the composition and activity of the gut microbiota, several therapeutic methods, such as the administration of prebiotics, probiotics, synbiotics, postbiotics, fecal microbiota transplantation, as well as the change in the microbiota composition through a specific diet, are available.