bluuebunny/crossref_metadata_2025_split huggingface dataset:
Magnitude of Diabetic Neuropathy in Saudi Arabia: A Systematic Review and Meta-Analysis
Authors: Owolabi Lukman Femi , Alghamdi Mushabab , Adamu Bappa , Taura Magaji Garba , Jibo Abubakar , Almansour Mohammed , Alaklabi Saeed Naseer , Alghamdi Mohammed Ali , Alotaibi Yousef Ayesh , Imam Isa Adamu , Abdelrazak Reda , Rafaat Ahmad , Aliyu Muktar 
Published: January 2022

Abstract
Background: Diabetic peripheral neuropathy (DPN), due to its potential for causing morbidity and disability from foot ulcers and amputations, is increasingly becoming a source of concern in Saudi Arabia and worldwide. However, wide variability exists in the prevalence of DPN reported in previous studies in Saudi Arabia, limiting the utility of existing data in national public health policy. Therefore, this study aimed to estimate the magnitude of DPN in people living with diabetes mellitus in Saudi Arabia.Methods: PubMed, Google Scholar, African Journals OnLine, Scopus, Web of Science, Embase, and Wiley Online Library were searched systematically to acquire relevant articles based on preset criteria. We evaluated heterogeneity and publication bias and employed a random-effects model to estimate the pooled prevalence of DPN from the included studies. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines in conducting the meta-analysis. Analysis was performed using the STATA Version 12 software.Results: Twelve studies with a total of 4,556 participants were included in the meta-analysis. The overall prevalence of DPN was 39% (95% CI [30%, 49%]). Subgroup analysis based on diagnostic method showed that prevalence estimates for DPN using screening questionnaires and clinical examination were 48% (95% CI [46%, 50%]) and 40% (95% CI: [38%, 42%]), respectively, while the estimated prevalence using nerve conduction studies was 26% (95% CI [15%, 36%]). Conclusion: This study showed a high magnitude of DPN in Saudi Arabia (39%), thus highlighting the need for sustained efforts to reduce the prevalence of diabetes mellitus and DPN in the kingdom.
Rapid identification of four Fusariumspp. complex by high-resolution melting curve analysis and their antifungal susceptibility profiles
Authors: Gong Jie , Hou Xuexin , Geng Yuanyuan , Dai Rongchen Chewxway , Zhao Fei , He Lihua 
Published: January 2022

Abstract
Fusarium species are globally distributed filamentous ascomycete fungi that are frequently reported as plant pathogens and opportunistic human pathogens, leading to yield loss of crops, mycotoxin contamination of food and feed products as well as damage to human and livestock. Human infections of Fusarium spp. are difficult to treat due to broad antifungal resistance by members of this genus. Their role as disease-causing agents in crops and humans suggests a need for antifungal resistance profiles as well as a simple, rapid, and cost effective identification method. Fusarium strains were isolated from food and clinical samples. High-resolution melting curve (HRM) analysis was performed using specific primers targeting internal transcribed spacer (ITS) region, followed with evaluation of specificity and sensitivity. The antifungal susceptibility of four Fusarium species was studied using the Sensititre YeastOne method. HRM analysis revealed reproducible, unimodal melting profiles specific to each of the four Fusarium strains, while no amplification of the negative controls. The minimum detection limits were 100~120 copies based on a 2 µl volume of template. Clear susceptibility differences were observed against antifungal agents by different Fusarium isolates, with amphotericin B and voriconazole displayed strongest antifungal effects to all the tested strains. We developed a simple, rapid, and low-cost HRM-PCR method for identification of four Fusarium spp. (F. oxysporum, F. lateritium, F. fujikuroi, and F. solani). The antifungal susceptibility profiles supplied antifungal information of foodborne and clinical Fusarium spp. and provided guidance for clinical treatment of human infections.
Effect of Safranal On The Response Of Cancer Cells To Topoisomerase I Inhibitors: Dose Sequence Matter?
Authors: Lozon Lama , Saleh Ekram , Menon Varsha , Ramadan Wafaa , Amin Amr , El-Awady Raafat 
Published: January 2022

Abstract
Background: Lung and colorectal cancers are among the leading causes of death from cancer worldwide. While topotecan (TPT), a topoisomerase1 inhibitor, is a first- and second-line chemotherapeutic drug in treating lung and colon cancers, the development of drug resistance and toxicity still reserve as a major obstacle to chemotherapeutic success. Accumulating evidences are available that indicate increased efficacy and reduced toxicity of chemotherapeutic agents upon combining them with natural products. Safranal (SAF), a natural compound obtained from Crocus Sativus stigma has been shown to possess anti-cancer activity.Objectives: The current work aimed to investigate the possible interaction of SAF with TPT when used in different sequences in colon and lung cancer cell lines.Methods: The growth inhibitory effect of the proposed combination given in different sequences was assessed using the colony formation assay. Comet assay, cell cycle distribution, Annexin V staining as well as expression of proteins involved in DNA damage and repair were utilized to understand the mechanism underlying the effect of the combination.Results: SAF enhanced the growth inhibitory effects of TPT particularly when it was added to the cells prior to TPT. This combination increased the double strand breaks (DSBs) induction and dysregulated the DNA repair machinery, particularly the tyrosyl- DNA phosphodiesterase1 enzyme (TDP1). Additionally, SAF+TPT combination increased the fraction of cells arrested at the G2/M checkpoint as well as enhanced the induction of apoptosis.Conclusion: The current study highlights the status of SAF as a natural product sensitizing the lung and colon cancer cells to the cytotoxic effects of the anticancer drug TPT. In addition, it emphasizes the importance of sequence -dependant growth inhibition which can affect the overall outcome.
Longitudinal Assessment of Systemic Steroid Therapy on Hyperinflammatory Endothelial Biomarker Profiles and Serology Responses of COVID-19 Patients
Authors: Sims Jonathan Thomas , Chang Ching-Yun , Poorbaugh Josh , Daniels Montanea , Beasley Stephanie , Zhang Lin , Rodgers George , Lena Fabio , Lacerenza Leonardo , Sposato Bruno , Dupont Annabelle , Susen Sophie , Casalini Giacomo , Corbellino Mario , Stebbing Justin , Krishnan Venkatesh 
Published: January 2022

Abstract
This first of its kind study provides objective context to the potential mechanism of action of corticosteroid use in COVID-19 patients from 3 separate European medical centers by connecting inflammatory biomarkers to IgG levels for the SARS-CoV-2 spike protein antigens and neutralization of ACE2 binding within infected individuals. CXCL9 is described herein as an important COVID-19 biomarker connecting disease severity with inflammatory biomarker and serology response profiles in corticosteroid-treated patients.
For a systematic comprehension of GAB2: an analysis based on pan-cancer
Authors: Yin Yi , Guan Zongyu , Ou Zhaoyang , Tang Min , Li Yong , Zhang Can , Zhang Li , He Aiqin 
Published: January 2022

Abstract
Backgroud: The potential function of Grb2-associated binder2(GAB2) in human ErB-2 (Her-2) overexpressed breast cancer cells has been reported. GAB2 may be a potential target for clinical treatment of Her-2-overexpressed breast cancer. However, whether GAB2 plays a pivotal role in other cancers as well is unclear. Here, we aimed to explore the role of GAB2 in pan-cancer. Methods: We explored the role of GAB2 in tumor prognosis and tumor immunity in a wide range of cancers through a variety of databases. The expression and prognostic correlation of GAB2 in 33 tumors were explored using The Cancer Genome Atlas Project(TCGA),The Genotype-Tissue Expression(GTEx) and The Clinical Proteomic Tumor Analysis Consortium(CPTAC) databases. We also described the expression of phosphorylated GAB2 meanwhile analyzed the correlation between GAB2 and tumor immunity in pan-cancer. Results:The expression level of GAB2 is different between normal and tumor tissues in pan-cancer, and phosphorylated GAB2 also plays an important role in tumor development. The expression level of GAB2 was also statistically significant with the Overall Survival(OS) of tumor patients. There was a positive correlation between GAB2 and CD8+T immune infiltration in pan-cancer. Conclusion: The expression levels of both GAB2 and phosphorylated GAB2 were different in pan-cancer, and there was a statistical significance between the expression level of GAB2 and tumor prognosis. In addition, GAB2 may be a potential target for tumor therapy due to its positive correlation with immune infiltration.
Analysis of Genetic Diversity And DNA Fingerprinting In Early-Maturing Upland Cotton Using SSR Markers
Authors: Kuang Zhengcheng , Xiao Caisheng , Guo LiShuang , Wang Wei , Wang Baohua , Huang Hui , Li Yujun , Li Yuqiang , Zheng Juyun , Chen Haodong 
Published: January 2022

Abstract
In this study, DNA fingerprinting and genetic diversity analysis of 79 early-maturing upland cotton (Gossypium hirsutum L.) cultivars were performed using Simple Sequence Repeat (SSR) molecular markers. From 126 pairs of SSR primers, we selected 71 pairs of primers that gave good polymorphisms and clear bands, had good stability, and showed even distribution on the cotton chromosomes, and 142 polymorphic genotypes were amplified. The average number of alleles amplified with the SSR primers was 2.01. The polymorphism information content (PIC) of the markers ranged from 0.1841 to 0.9043 with an average of 0.6494. The results of fingerprint analysis showed that nine varieties had characteristic bands, and at least six primer pairs could be used to completely distinguish all 79 cotton accessions. Using NTSYS-pc 2.11 cluster analysis, the genetic similarity coefficients between the cotton genotypes ranged from 0.3310-0.8705, with an average of 0.5861. All cotton accessions were grouped into five categories at a similarity coefficient of 0.57, which was consistent with the pedigree sources. At the same time, the average genetic similarity coefficients of early-maturing upland cotton varieties in China showed a low-high-low pattern of variation over time, revealing the development history of early-maturing upland cotton varieties from the 1980s to the present. This also indirectly reflects that in recent years, China's cotton breeders have focused on innovation and have continuously broadened the genetic resources for early-maturing upland cotton.
Identification of potential genes associated with magnetosome biogenesis in the CtrA regulon in Magnetospirillum magneticum AMB-1
Authors: Yang Yizi , Gu Ning 
Published: January 2022

Abstract
Magnetotactic bacteria (MTB) are worth studying because of magnetosome biomineralization. Magnetosome biogenesis in MTB is controlled by multiple genes known as magnetosome-related genes. Recent advances in microarray bioinformatics provide a unique opportunity for studying functions of magnetosome-related genes and networks that they are involved in. Furthermore, microarray analysis can also help identify genes potentially associated with magnetosome biogenesis. To find more magnetosome-related genes in the CtrA regulon, we analyzed expression data of 8 samples of Magnetospirillum magneticum AMB-1 in the GSE35625 dataset in NCBI GEO. We identified 10 potential magnetosome-related genes using a nearest neighbor search strategy on both protein-protein interaction and gene co-expression networks. We also discovered and compared two co-expression modules which most known magnetosome-related genes belong to. These analyses provided several clues for the importance of energy on regulating co-expression module structures. In addition, we hypothesized that many magnetosome-related genes may develop new abilities to interact with other biomolecules including their functions in magnetosome biogenesis during evolution, since they are not hub genes in networks. Overall, our study provides useful information for researches on magnetotactic bacteria and magnetosome.
Endothelial microvesicles induce blood-brain barrier and neuronal damage caused by intermittent hypoxia through Fas/FasL-caspase8 signaling pathway
Authors: Zhang Qiang , Guo Ying , Tan Jin , Miao Yuyang 
Published: January 2022

Abstract
Background: Obstructive sleep apnea (OSA) is a highly popular disease. Intermittent hypoxia (IH), as the main disease physiological characteristic of OSA, is closely related to the cognitive impairment. Microvesicles (MVs), as intercellular information transfer substances, are closely related to multiple pathological and physiological activities. Endothelial microvesicles (EMVs), as one of the most widely studied microvesicles, has been shown to be associated with the severity of cognitive impairment. However, the effect of IH-induced EMVs on neurocytes is not clear. In our study, we established an IH model in vivo and in vitro to induce EMVs release and to observe its effect on neurocytes function.Methods: we established animal and cell models of IH, and detected the size and number of EMVs by flow cytometry and nanoparticle tracking analysis. Apoptosis and tight junction proteins were detected by immunoblotting and immunofluorescence. The level of miR126 was detected by PCR.Results: IH injury model was established to induce B3 to release IH-EMVs. The IH-EMVs from B3 were isolated from the conditioned culture medium and characterized. IH is a potent stimulus for EMV formation and that EMV formed under intermitent hypoxia are compositionally and functionally distinct from those formed under normoxia conditions. Then brain microvascular endothelial cells and neurocytes were then incubated with N-EMVs and IH-EMVs respectively for 8h. We found that B3 cells treated by IH-EMVs exhibited reduced tight junction proteins and increased cell apoptosis. In addition, IH-EMVs contained significantly higher level of ROS than EMVs generated from untreated B3, which might be a direct source to trigger a cascade of which might be a direct source to trigger a cascade of myocardial damage. Conclusion: We showed that EMVs released during IH injury are pro-apoptotic, pro-oxidative and directly pathogenic to endothelial cells in vitro. EMVs carry ROS and they may impair endotheliocytes by promoting apoptosis and oxidative stress. These findings provide new insights into the pathogenesis of IH.
Determinants of Beef Cattle Commercialization in Southwest Ethiopia
Authors: Kassa Getahun , Fantahun Tegegn , Anshiso Desalegn 
Published: January 2022

Abstract
Background

Ethiopia ranked first in Africa in the number of livestock production. However, the sector's potential contribution to the national economy has been hampered by the lack of a market-oriented livestock production system .In this study, the beef cattle markets in Southwest Ethiopia are analyzed based on a survey of 172 producers. The first part emphasized the characterization and commercialization of the beef cattle market in the study area. The second part is dedicated to identifying the factors affecting households’ participation in the beef cattle market using the Heckman two-step selection model.
Results

In the findings, the beef cattle market is characterized by the dominance of few traders, asymmetric information, lack of contract enforcement, lack of transparency among market actors, and poorly developed market infrastructure. There is very low net commercial off-take rate of cattle for smallholder farmers in the study area. The result from the Heckman two-step selection model revealed that having positive stock of cattle, better access to extension service & feed, and a better level of literacy enhanced market participation and sales volume. On the contrary, market participation and sales volume were negatively affected by cattle keeper’s age, non-livestock income, and poor road and health infrastructure.
Conclusions

The market structure is characterized by imperfect competition implying that under the current production and marketing conditions, small-holder farmers and pastoral livestock production systems do not provide regular and adequate market supply of beef cattle at competitive price. The study suggested that improving the market and health infrastructure, providing capacity building for producers, and improving access to feed could enhance the intensity of smallholder beef cattle market participation.
A Microblog Content Credibility Evaluation Model Based on Collaborative Key Points
Authors: Xing Ling , Yao Jingling , Wu Honghai , Ma Huahong 
Published: January 2022

Abstract
The spread of false content on microblogging platforms has created information security threats for users and platforms alike. The confusion caused by false content complicates feature selection during credibility evaluation. To solve this problem, a collaborative key point-based content credibility evaluation model, CECKP, is proposed in this paper. The model obtains the key points of the microblog text from the word level to the sentence level, then evaluates the credibility according to the semantics of the key points. In addition, a rumor lexicon constructed collaboratively during word-level coding strengthens the semantics of related words and solves the feature selection problem when using deep learning methods for content credibility evaluation. Experimental results show that, compared with the Att-BiLSTM model, the F1 score of the proposed model increases by 3.83% and 3.8% when the evaluation results are true and false respectively. The proposed model accordingly improves the performance of content credibility evaluation based on optimized feature selection.
NYMPHSTAR: an accurate high-throughput quantitative method for whitefly (Aleurotrachelus socialis Bondar) resistance phenotyping in cassava
Authors: Bohórquez-Chaux Adriana , Gómez-Jiménez María Isabel , Leiva-Sandoval Luisa Fernanda , Lopez-Lavalle Luis Augusto Becerra 
Published: January 2022

Abstract
Background
Whitefly (Aleurotrachelus socialis Bondar) is an important pest causing high economic losses in cassava production systems in the north of South America. It reduces the plant’s photosynthesis by colonizing the cassava leaves and either directly feeding on their phloem sap or excreting substances that allow the growth of sooty mold and the consequent reduction of the photosynthetic area. The deployment of the crop’s natural resistance to this pest is the most effective approach to its management. Phenotypic evaluation to identify germplasm with superior whitefly-resistance (WFR) levels from that showing a whitefly susceptible (WFS) response will benefit from the availability of an accurate high-throughput, quantitative phenotyping method.
Results
We developed an accurate and efficient image-based phenotyping method (Nymphstar) to quantify the total number of third and fourth instar nymphs through red, green, and blue color space (RGB) image analysis as a plugin for ImageJ. Nymphstar estimates both the number of third and fourth instar nymphs and the percentage of leaf area they occupy. We tested 19 cassava genotypes and classified them after data analysis as resistant or susceptible to A. socialis attack. Benchmarking Nymphstar against manual nymph counts performed by a specialist revealed a highly significant correlation between direct nymph counts and those estimated using Nymphstar, which analyzed images and counted nymphs 150 times faster than by manual counts. Full-bench caging for a free-choice assay facilitated our assessment of WFR in the cassava germplasm and early replicated trials in the experimental population and enhanced the efficiency of whitefly (A. socialis) colonization on each cassava genotype to accurately depict the intensity of the resistance/susceptible response under a choice regime, simultaneously reducing human operator bias.
Conclusions
Nymphstar is a fast, accurate image analysis screening tool for the automated counting of nymphs and quantification of leaf area they occupy, allowing for the assessment of cassava resistance to whitefly on a large number of cassava plants in a glasshouse-based assay while avoiding the potential bias normally associated with field assessment and manual counting.
Calcium coordination compounds of dipicolinic and quinolinic acids: synthesis, characterization, crystal structures and DFT studies
Authors: Tella Adedibu Clement , Oladipo Adetola Christianah , Olayemi Victoria Tosin , Gordon Allen , Ogunlaja Adeniyi Sunday , Alimi Lukman Olawale , Argent Stephen , Mokaya Robert , Clarkson Guy , Walton Richard 
Published: January 2022

Abstract
In the past two decades various N-heterocyclic carboxylate coordination compounds have been synthesized with intriguing architectures and potential applications as functional materials. In this regard, two novel calcium coordination compounds [Ca(2,6-Hpdc)2(H2O)2] 1 and [Ca2(2,3-pdc)2(H2O)6]n 2 (where 2,6-H2pdc = 2,6-pyridinedicarboxylic acid and 2,3-H2pdc = 2,3-pyridinedicarboxylic acid) were grown at room temperature. The compounds were characterized using elemental analysis, Fourier Transform infrared (FT-IR) spectroscopy, thermogravimetric analysis, powder X-ray diffraction and single crystal X-ray crystallographic analysis. Compounds 1 and 2 crystallize in orthorhombic space group Pccn and monoclinic space group Pc, respectively. The structures of both compounds are stabilized by a network of hydrogen bonds arising from coordinated water molecules and carboxylate groups. Computational analysis revealed that compound 1 has a large energy gap (9.221 eV) suggesting high excitation energies and chemical hardness making it a better electron acceptor while compound 2 displayed a smaller energy gap (5.156 eV) which is indicative of a softer molecule with better polarizability and reactivity.
Bayesian Poisson Autoregressive Modeling of the Philippine Storm Frequencies
Authors: Asaad Al-Ahmadgaid B. 
Published: January 2022

Abstract
The study extends the log-linear Poisson autoregressive model proposed by Fokianos and Tjøstheim (2011) into a Bayesian framework, and applies it to modeling the yearly tropical cyclone frequencies within the Philippine Area of Responsibility. The data, taken from the Japan Meteorological Agency’s Regional Specialized Meteorological Center, with time points running from 1950 to 2021, is modeled at a semester-level granularity to take advantage of the periodic patterns suitable for autoregressive modeling. The estimation is done using Markov Chain Monte Carlo algorithm via the No-U-Turn Sampler. Finally, the proposed model can infer the characteristics of the Philippine storm frequencies, both in terms of the point forecasts and the associated uncertainties.