syedzayyan/paper_mill_benchmark huggingface dataset:
Serum Level of Growth-Associated Protein 43 Is Associated with First-Episode Schizophrenia Patients without Antipsychotic Drugs Treatment

Nerve growth-associated protein 43 (gap43) is closely related to neural development, axon regeneration, and synaptic reconstruction and is one of the important markers of neuronal damage.Therefore, in our study, enzyme-linked immunosorbent assay (elisa) was used to analyze the serum level of gap43 protein in schizophrenia patients (n = 188), healthy controls (n = 200), and bipolar disorder patients (n = 200).The positive and negative syndrome scale (panss) was used to evaluate the mental status of schizophrenia patients, and the scale of social function in psychosis inpatients (sspi) was used to evaluate the social function of schizophrenia patients.According to this study, we found the serum gap43 level was significantly higher in schizophrenia patients than in bipolar disorder patients, while serum gap43 levels in bipolar disorder patients were significantly higher than those in control group.When the cut-off value was set as 2.328 ng/m l, the area under the curve (auc) of serum gap43 was 0.7795 (95% ci: 0.7431–0.8158) for diagnosis of schizophrenia.The sensitivity and specificity were 92.02% and 65.25%, respectively.However, no correlation between serum gap43 and the total scores of panss scale in schizophrenia patients as well as between serum gap43 level and sspi were observed.Therefore, we believe that gap43 may be a potential diagnostic marker for schizophrenia.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Serum IL-37 Level Is Associated with Rheumatoid Arthritis and Disease Activity: A Meta-Analysis

Interleukin‐37 (il‐37) inhibits the pathogenesis of rheumatoid arthritis (ra) via downregulating proinflammatory cytokines.Accordingly, we performed an analysis to accurately assess the relationship between serum il‐37 cytokine levels and disease activity of ra.Subgroup analysis and sensitivity analysis were applied to explore the sources of heterogeneity.Correlation coefficient ( r ) was utilized to evaluate the relationship between il‐37 and disease activity of ra patients.Ten studies were included into the research.Functional analysis revealed elevated serum il‐37 concentrations in ra patients (smd = 1.61, p &lt; 0.00001).The relationship between serum il‐37 levels and disease activity was statistically significant (c‐reactive protein: r = 1.47, p = 0.0002; erythrocyte sedimentation rate: r = 1.55, p &lt; 0.00001; rheumatoid factor: r = 1.40, p = 0.004; tumor necrosis factor⁃ α : r = 1.64, p = 0.0003; disease activity score for 28 joints: r = 1.63, p &lt; 0.00001; tender joint count: r = 1.48, p &lt; 0.00001; and swollen joint count: r = 1.52, p = 0.0003), but anti‐ccp was not significant (anti‐ccp: r = 0.98, p = 0.72).In summary, these data are suggesting that the elevated serum level of il‐37 in ra is positively correlated with the disease activity of ra, suggesting a role for il‐37in the pathogenesis of ra.

Journal: BioMed Research International (2021)
Publication types: Meta-Analysis;
Screening Tumor-Related Genes of Gallbladder Cancer Based on AR-Based Tumor Expression Profile Gene Chip

The rapid development of molecular biology and gene chip technology has produced a large amount of gene expression profile data.The main research in this article is to screen the tumor‐related genes of gallbladder cancer based on ar‐based tumor expression profile gene chip.First, convert the chip data into an expression matrix pattern that can be analyzed, and then standardize and normalize all the data.Run relief f, ga, and irelief f‐ga on the data set, record the size of the feature subset, and use the tenfold cross‐validation method to obtain the classification accuracy, specificity, and sensitivity of each method on the classifier.The target genes used in the chip were amplified by pcr with the universal primers used in c dna library construction, and the quality of pcr was monitored by agarose gel electrophoresis.The gene chip data of gallbladder cancer was processed with missing values, singular values, and so forth, and 22294 transcripts were obtained.After statistical testing, there were 9483 transcripts with statistically significant differences.The results show that as the number of clusters increases, the network can be better reconstructed through decomposition modeling.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Screening and Identification of Key Biomarkers in Lower Grade Glioma via Bioinformatical Analysis

Lower-grade glioma (lgg) is a common type of central nervous system tumor.Due to its complicated pathogenesis, the choice and timing of adjuvant therapy after tumor treatment are controversial.This study explored and identified potential therapeutic targets for lower-grade.The bioinformatics method was employed to identify potential biomarkers and lgg molecular mechanisms.Firstly, we selected and downloaded gse15824, gse50161, and gse86574 from the geo database, which included 40 lgg tissue and 28 normal brain tissue samples.Geo and venn software identified of 206 codifference expressed genes (degs).Secondly, we applied the david online software to investigate the deg biological function and kegg pathway enrichment, as well as to build the protein interaction visualization network through cytoscape and string website.Then, the mcode plug is used in the analysis of 22 core genes.Thirdly, the 22 core genes were analyzed with uncla software, of which 18 genes were associated with a worse prognosis.Fourthly, gepia was used to analyze the 18 selected genes, and 14 genes were found to be a significantly different expression between lggs and normal brain tumor samples.Fifthly, hierarchical gene clustering was used to examine the 14 important gene expression differences in different histologies, as well as analysis of the kegg pathway.Five of these genes were shown to be abundant in the natural killer cell-mediated cytokines (nkcc) and phagosome pathways.The five key genes that may be affected by the immune microenvironment play a crucial role in lgg development.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
Safety Evaluation and Effect Deconstruction of Blood Lipid Test in the Diagnosis of Cardiovascular Disease Patients

With the increase in the number of cardiovascular patients in china, this paper must use better detection methods to examine these patients.Blood lipid testing is a quantitative method for the determination of lipids contained in blood (plasma).Blood lipids are the general term for neutral fats (triglycerides and cholesterol) and lipids (phospholipids, glycolipids, sterols, and steroids) in plasma, which are widely present in the human body.At the same time, this paper also applies this technology to different examination procedures at various current stages.Cardiovascular disease, also known as circulatory system disease, is a series of diseases involving the circulatory system.The circulatory system refers to the organs and tissues that transport blood in the human body, mainly including the heart and blood vessels (arteries, veins, and microvessels), which can be subdivided into acute and chronic and are generally related to arteriosclerosis.In recent years, the most widely used is blood lipid measurement.Therefore, this paper proposes a study on the safety evaluation and effect analysis of blood lipid testing in the diagnosis of cardiovascular disease patients.This article focuses on the causes of cardiovascular disease and introduces the purpose, methods, results, and conclusions of blood lipid detection.Combined with the deep learning method combined with wavelet analysis and support vector machine (svm), the in‐depth analysis is carried out, and suitable patients are selected for blood lipid detection.The final experimental results showed that apolipoprotein b (apob), total cholesterol (tc), low‐density lipoprotein cholesterol (ldl‐c), triglyceride (tg), and other indicators were significantly different from the control group.The values of apolipoprotein a1 (apoa1) and high‐density lipoprotein cholesterol (hdl‐c) were significantly different from those in the control group, p &lt; 0.05.This shows that blood lipid examination has a good effect on the diagnosis of cardiovascular patients; it can make accurate diagnosis and prediction of the patient’s condition and has good clinical application value.

Journal: BioMed Research International (2022)
Publication types: Research Article;
Safe Distance of Virus Quantitative Analysis and Simulation of the Trajectory of Pathogen-Containing Droplets in the Air Respiratory Airways

Droplets of mucosalivary ejecta emitted by sneezing or coughing are a major carrier of numerous types of bacterial and viral diseases.This study develops a numerical model to estimate the spread distance for inhalable droplets (1–50 μm) in the air, the inhalability of the particles, and the trajectory as well as velocity of these pathogen-containing droplets in human respiratory airways.Moreover, particularly for droplets with diameters of 1 μm, 5 μm, 10 μm, and 50 μm, specific comparisons between their inhalability and transmission velocities are made.Data extracted from previous experiments proceeded by other researchers discussing the visualization of sneeze ejecta and deposition features of inhaled drops were used to obtain parameters to fit the model prediction of this work.Currently, research on similar topics was mostly based on either experiments or theoretical calculations only on one specific clan of pathogen, while the novel contribution of this paper is the combination and comparison of these two distinct methodologies that can be applied to solve a general practical problem aiming to all types of viruses by considering the pathogen-containing droplets as a whole entity.

Journal: Applied Bionics and Biomechanics (2022)
Publication types: Research Article;
RUNX3 Expression Level Is Correlated with the Clinical and Pathological Characteristics in Endometrial Cancer: A Systematic Review and Meta-analysis

Human runt‐associated transcription factor 3 (runx3) plays an important role in the development and progression of endometrial cancer (ec).However, the clinical and pathological significance of runx3 in ec needs to be further studied.In order to clarify the clinical and pathological significance of runx3, a systematic review and meta‐analysis was conducted in ec patients.Keywords runx3, endometrial cancer, and uterine cancer were searched in cochrane library, web of knowledge, pub med, cbm, medline, and chinese cnki database for data up to dec 31, 2018.References, abstracts, and meeting proceedings were manually searched in supplementary.Outcomes were various clinical and pathological features.The two reviewers performed the literature searching, data extracting, and method assessing independently.Meta‐analysis was performed by rev man5.3.0.A total of 563 ec patients were enrolled from eight studies.Meta‐analysis results showed that the expression of runx3 has significant differences in these comparisons: lymph node (ln) metastasis vs.Non‐ln metastasis ( p = 0.26), ec tissues vs.Normal tissues ( p &lt; 0.00001), clinical stages i/ii vs.Ii/iv ( p &lt; 0.00001), muscular infiltration &lt; 1/2 vs.Muscular infiltration ≥ 1/2 ( p &lt; 0.00001), and g1 vs.G2/g3 ( p &lt; 0.00001).The decreasing expression of runx3 is associated with poor tnm stage and muscular infiltration.It is indicated that runx3 was involved in the suppression effect of ec.However, further multicenter randomized controlled trials are needed considering the small sample size of the included trials.

Journal: BioMed Research International (2021)
Publication types: Meta-Analysis;
Role of Platelet-Rich Plasma Gel in Promoting Wound Healing Based on Medical Images of Wounds

A wound is the pathological change of soft tissue under normal skin caused by various factors, such as collision, contusion, hot crush, avulsion, corrosive chemicals, operations, excessive wound tension after operations, local pressure that cannot be relieved for a long time, liquid immersion, local infection, and rejection reactions caused by allogeneic substances.The skin itself or its underlying soft tissue loses its integrity and continuity, thus losing its normal physiological function.Medical image analysis is a medical term that refers to the interdisciplinary fields of integrated medical imaging, artificial intelligence, digital image processing and analysis, mathematical modeling, and numerical algorithms.According to the time of wound formation, they can be divided into acute and chronic wounds.The common acute wounds include lacerations caused by trauma, surgical incisions, burns, and donor sites formed after skin graft operations.This article mainly studies the role of platelet‐rich plasma gel nanocomposites in promoting wound healing.It is proven that ptt‐rich plasma gel can significantly promote tissue repair and regeneration and accelerate wound healing in patients with severe burns.The atomic number of the nanocomposite has a better treatment effect on the nanoparticle approach.In this paper, chitosan nanocomposite membrane, nanocomposite algorithm, and the calculation method of enthalpy of formation of high alloy nanomaterials were used to study the role of ptt‐rich plasma gel combined chitosan nanocomposite membrane loaded bone marrow stromal cells in promoting wound healing, and its effects were applied to the repair of special site burns, special burns, and different age burns.Good wound repair benefits from the correct treatment of the wound, which directly affects the stability and development of the internal environment.The difference in healing time between the two groups was statistically significant, and the recovery time of the prp group was 0.001 less than that of the control group.The results showed that the wound healing time of the prp group was significantly shorter than that of the control group ( p &lt; 0.05); after treatment, the content of vegf in the wound tissue of the two groups increased, especially in the prp group; the effective rate of the prp group was 75.0%, which was higher than 68.8% of the control group.It can play an important role in the regulation of expression and the pathophysiological process of wound healing.

Journal: Contrast Media & Molecular Imaging (2022)
Publication types: Research Article;
Risk Factors of Catheter-Related Infection in Unplanned Extubation of Totally Implantable Venous-Accessportsin Tumor Patients

Totally implantable intravenous ports (tivaps) are mostly used for long-term intravenous infusion therapy in cancer patients and can be left in the body for long periods of time for easy management, making them a simple and safe infusion device.Although the risks associated with long-term retention of fully implantable iv ports are less than those associated with other intravenous catheters, various complications may still occur at the time of implantation or during long-term use.Purpose.To provide a scientific basis for clinical reduction of implantable intravenous port-associated infection complications by studying the risk factors for catheter-associated infection complications in patients applying implantable intravenous ports.Methods.A retrospective study was conducted on oncology patients treated with tivap at our hospital between january 2017 and november 2021, with a review of patients who were unplanned for extubation.Their demographic data, underlying disease status, and surgery-related data were counted to summarize and analyze the complications and related influencing factors of implantation and postimplantation.Results.A total of 70 individuals with a mean age of 56.49 ± 12.19 years were included in the study.Among them, 39 were male and 64 had the highest percentage of epithelial tumors, followed by tumors of the lymphopoiesis system and mesenchymal tumors with 4 and 2 cases, respectively.Forty-eight of these patients did not have their ports removed as planned due to the occurrence of catheter-related hematogenous infections.In univariate analysis, bmi and neutropenia were risk factors for catheter-associated infections.In the multivariate analysis, bmi (or = 1.38, 95% ci: 1.07–1.78, p = 0.013 ) was an independent risk factor for catheter-associated infections.Conclusions.The overall complication rate of fully implanted intravenous ports was high, but most complications improved with symptomatic management, and no deaths due to port complications were identified.Infection was the most common complication, with catheter-associated bloodstream infection being the most common cause of unplanned port extraction.Patients with a higher bmi were at high risk of developing implantable iv port-associated infections, which may be an independent risk factor for implantable iv port-associated infections.

Journal: Emergency Medicine International (2022)
Publication types: Research Article;
Risk Factors for Dupuytren’s Contracture: A Case-Control Study

To study the risk factors of dupuytren’s contracture (dc) and to provide a reference for the clinical prevention and treatment of dc.Methods.The clinical data of 21 dc patients treated with surgery in qilu hospital of shandong university (qingdao) from march 2014 to january 2022 were collected.During the same period, 31 subjects who were admitted to the hospital for treatment of finger numbness, difficulty in movement, and other reasons were selected as the control group, and the clinical data of the control group were collected.A case-control study was used to analyze the risk factors for dc.The receiver operating curve (roc) was used to analyze the efficacy of blood biochemical indexes and coagulation-related indexes in predicting the occurrence of dc.Results.Multivariate logistic regression analysis showed that male and diabetes were independent risk factors for the occurrence of dc (hr = 19.69, 95%ci: 3.12–124.19, p = 0.002; hr = 7.61, 95%ci: 1.25–46.47, p = 0.03).The results of the roc analysis showed that the area under the curve (auc) for the dc predicted by cystatin c was 0.7565 (95%ci: 0.6203–0.8928, p = 0.0018), and the auc for the dc predicted by blood chloride level was 0.8121 (95%ci: 0.6880–0.9362, p = 0.0002), the auc for the dc predicted by fibrinogen was 0.7796 (95%ci: 0.6439–0.9152, p = 0.0007), the auc for the dc predicted by d-dimer level was 0.8740 (95%ci: 0.7812–0.9669, p &lt; 0.0001), and the auc for the dc predicted by thrombin time was 0.7803 (95%ci: 0.6411–0.9196, p = 0.0007).The auc for the dc predicted by the combined detection of cystatin c, blood chloride, fibrinogen, d-dimer, and thrombin time was 0.9441 (95%ci: 0.8926–0.9957, p &lt; 0.001).Conclusion.Male and diabetes are independent risk factors for the occurrence of dc.Combined detection of cystatin c, blood chloride, fibrinogen, d-dimer, and thrombin time has a certain value in predicting the occurrence of dc.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Risk Factor Analysis for Predicting the Onset of Rotator Cuff Calcific Tendinitis Based on Artificial Intelligence

Symptomatic rotator cuff calcific tendinitis (rcct) is a common shoulder disorder, and approaches combined with artificial intelligence greatly facilitate the development of clinical practice.Current scarce knowledge of the onset suggests that clinicians may need to explore this disease thoroughly.Methods.Clinical data were retrospectively collected from subjects diagnosed with rcct at our institution within the period 2008 to 2020.A standardized questionnaire related to shoulder symptoms was completed in all cases, and standardized radiographs of both shoulders were extracted using a human-computer interactive electronic medical system (ems) to clarify the clinical diagnosis of symptomatic rcct.Based on the exclusion of asymptomatic subjects, risk factors in the baseline characteristics significantly associated with the onset of symptomatic rcct were assessed via stepwise logistic regression analysis.Results.Of the 1,967 consecutive subjects referred to our academic institution for shoulder discomfort, 237 were diagnosed with symptomatic rcct (12.05%).The proportion of women and the prevalence of clinical comorbidities were significantly higher in the rcct cohort than those in the non-rcct cohort.Stepwise logistic regression analysis confirmed that female gender, hyperlipidemia, diabetes mellitus, and hypothyroidism were independent risk factors for the entire cohort.Stratified by gender, the study found a partial overlap of risk factors contributing to morbidity in men and women.Diagnosis of hyperlipidemia, diabetes mellitus, and hypothyroidism in male cases and diabetes mellitus in female cases were significantly associated with symptomatic rcct.Conclusion.Independent predictors of symptomatic rcct are female, hyperlipidemia, diabetes mellitus, and hypothyroidism.Men diagnosed with hyperlipidemia, diabetes mellitus, and hypothyroidism are at high risk for symptomatic rcct, while more medical attention is required for women with diabetes mellitus.Artificial intelligence offers pioneering innovations in the diagnosis and treatment of musculoskeletal disorders, and careful assessment through individualized risk stratification can help predict onset and targeted early stage treatment.

Journal: Computational Intelligence and Neuroscience (2022)
Publication types: Research Article;
Retinal OCT Texture Analysis for Differentiating Healthy Controls from Multiple Sclerosis (MS) with/without Optic Neuritis

Multiple sclerosis (ms) is an inflammatory disease damaging the myelin sheath in the central and peripheral nervous system in the brain and spinal cord.Optic neuritis (on) is one of the most prevalent ocular demonstrations of ms.The current diagnosis protocol for ms is mri, but newer modalities like optical coherence tomography (oct) are already of interest in early detection and progression analysis.Oct reveals the symptoms of ms in the central nervous system (cns) through cross‐sectional images from neural retinal layers.Previous works on oct were mostly focused on the thickness of retinal layers; however, texture features seem also to have information in this regard.In this research, we introduce a new pipeline that constructs layer‐stacked (ls) images containing data from each specific layer.A variety of texture features are then extracted from ls images to differentiate between healthy controls and on/none‐on ms cases.Furthermore, the definition of texture extraction methods is tailored for this application.After performing a vast survey on available texture analysis methods, a treasury of powerful features is collected in this paper.As a primary work, this paper shows the ability of such features in the diagnosis of hc and ms (on and none‐on) cases.Our findings show that the texture features are powerful to diagnose ms cases.Furthermore, adding information of conventional thickness values to texture features improves considerably the discrimination between most of the target groups including hc vs.Ms, hc vs.Ms‐none‐on, and hc vs.Ms‐on.

Journal: BioMed Research International (2021)
Publication types: Research Article;