bluuebunny/crossref_metadata_2025_split huggingface dataset:
Características antropométricas de mulheres saudáveis praticantes do método pilates clássico na cidade de Porto Alegre (Brasil)
Authors: Pinto Francine Rodrigues , Meurer Jaqueline , Bulso-Júnior Orlando , Nogueira Haas Aline 
Published: September 2021

Objetivo: Descrever características antropométricas de mulheres praticantes do Método Pilates Clássico de Porto Alegre (Brasil) e associar faixa etária e tempo de prática com as variáveis massa adiposa, massa muscular e índice de massa corporal.
Método: Foram mensuradas 48 medidas antropométricas (massa corporal, altura, altura tronco-cefálica e envergadura, nove dobras cutâneas, 17 perímetros, nove diâmetros e nove comprimentos) de 58 mulheres saudáveis, praticantes do Método Pilates Clássico há pelo menos seis meses, média de prática 43 ± 38 meses, idade média 37 ± 8 anos, média de frequência semanal 2 ± 0.76 vezes por semana. Os instrumentos de coleta de dados foram: adipômetro Lange®, trena antropométrica e paquímetro de 24 e 60 cm Cescorf®. Para as medidas de peso e altura foram utilizadas balança Cadence® e estadiômetro Sanny®. As avaliações foram realizadas por um antropometrista nível II acreditado pela International Society for the Advancement of Kinanthopometry (ISAK). Para a análise dos dados foi utilizada a estatística descritiva e para verificar associação entre as variáveis foi realizado o teste do qui-quadrado.
Resultados: O valor médio da massa adiposa (25.03 ± 4.81 kg) foi maior que o da massa muscular (23.14 ± 3.36 kg). Porém, a classificação do índice de massa corporal da maioria da amostra (79%) está dentro do adequado. Não houve associação significativa entre nenhuma das variáveis (p>0.05).
Conclusão: A prática do Método Pilates Clássico permite a manutenção do índice de massa corporal adequado. Entretanto, a média da massa adiposa superior a massa muscular é preocupante, assim como, a grande parcela de mulheres que praticam somente o Método Pilates e não atingem o mínimo de minutos de atividade física semanal para sair do sedentarismo.
Tipo de desayuno según el nivel de condición física y calidad de vida en escolares de primaria: el rol mediador del estado de peso y la actividad física
Authors: Carrillo lópez Pedro José , Rosa Guillamón Andrés , García Cantó Eliseo 
Published: September 2021

Objetivo: Analizar el tipo de desayuno según el nivel de condición física y calidad de vida en escolares de educación primaria observando el efecto mediador del estado de peso y la actividad física en estas relaciones.
Material y métodos: Estudio transversal compuesto por 281 escolares españoles. Se valoró la Calidad de vida mediante el test KIDSCREEN-10, la condición física a través de la batería ALPHA-Fitness y los ítems del desayuno mediante el KIDMED.
Resultados: La prueba de regresión logit asocia una mayor condición física general y algunas de sus dimensiones con la ingesta de un desayuno (p < 0,05). Una menor condición física y mayor calidad de vida se asocia con desayunar bolleria industrial (p < 0,05), sin embargo, tras ajustar al estado de peso y actividad física estas diferencias desaparecen (p > 0,05).
Conclusión: La relación entre el nivel de condición física y la calidad de vida con un desayuno no saludable parece estar moderada por el estado de peso y actividad física en escolares.
A Function Approximation Approach to the Prediction of Blood Glucose Levels
Authors: Mhaskar H. N. , Pereverzyev S. V. , van der Walt M. D. 
Published: September 2021

The problem of real time prediction of blood glucose (BG) levels based on the readings from a continuous glucose monitoring (CGM) device is a problem of great importance in diabetes care, and therefore, has attracted a lot of research in recent years, especially based on machine learning. An accurate prediction with a 30, 60, or 90 min prediction horizon has the potential of saving millions of dollars in emergency care costs. In this paper, we treat the problem as one of function approximation, where the value of the BG level at time t+h (where h the prediction horizon) is considered to be an unknown function of d readings prior to the time t. This unknown function may be supported in particular on some unknown submanifold of the d-dimensional Euclidean space. While manifold learning is classically done in a semi-supervised setting, where the entire data has to be known in advance, we use recent ideas to achieve an accurate function approximation in a supervised setting; i.e., construct a model for the target function. We use the state-of-the-art clinically relevant PRED-EGA grid to evaluate our results, and demonstrate that for a real life dataset, our method performs better than a standard deep network, especially in hypoglycemic and hyperglycemic regimes. One noteworthy aspect of this work is that the training data and test data may come from different distributions.
In Vitro Biological Performance of Alginate Hydrogel Capsules for Stem Cell Delivery
Authors: de Souza Jaqueline Brandão , Rosa Gustavo dos Santos , Rossi Mariana Correa , Stievani Fernanda de Castro , Pfeifer João Pedro Hübbe , Krieck André Massahiro Teramoto , Bovolato Ana Lívia de Carvalho , Fonseca-Alves Carlos Eduardo , Borrás Vicente Amigó , Alves Ana Liz Garcia 
Published: September 2021

Encapsulation of biological components in hydrogels is a well described method for controlled drug delivery of proteins, tissue engineering and intestinal colonization with beneficial bacteria. Given the potential of tissue engineering in clinical practice, this study aimed to evaluate the feasibility of encapsulation of adipose tissue-derived mesenchymal stem cells (MSCs) of mules in sodium alginate. We evaluated capsule morphology and cell viability, immunophenotype and release after encapsulation. Circular and irregular pores were observed on the hydrogel surface, in which MSCs were present and alive. Capsules demonstrated good capacity of absorption of liquid and cell viability was consistently high through the time points, indicating proper nutrient diffusion. Flow cytometry showed stability of stem cell surface markers, whereas immunohistochemistry revealed the expression of CD44 and absence of MHC-II through 7 days of culture. Stem cell encapsulation in sodium alginate hydrogel is a feasible technique that does not compromise cell viability and preserves their undifferentiated status, becoming a relevant option to further studies of tridimensional culture systems and in vivo bioactive agents delivery.
Normothermic ex vivo Heart Perfusion Combined With Melatonin Enhances Myocardial Protection in Rat Donation After Circulatory Death Hearts via Inhibiting NLRP3 Inflammasome-Mediated Pyroptosis
Authors: Lu Jun , Xu Liwei , Zeng Zifeng , Xue Chuqing , Li Jiale , Chen Xiong , Zhou Pengyu , Lin Shaoyan , Liao Yuhui , Du Xianjin , Yang Ronghua , Zheng Shaoyi 
Published: September 2021

ObjectiveThe adoption of hearts from donation after circulatory death (DCD) is a promising approach for the shortage of suitable organs in heart transplantation. However, DCD hearts suffer from serious ischemia/reperfusion injury (IRI). Recent studies demonstrate that nucleotide-binding oligomerization domain-like receptor family pyrin domain-containing 3 (NLRP3) inflammasome-mediated pyroptosis is a novel target to ameliorate myocardial IRI. Melatonin is shown to inhibit NLRP3 inflammasome-mediated pyroptosis. Therefore, this study is designed to verify the hypothesis that melatonin can protect the heart graft preserved with ex vivo heart perfusion (EVHP) against myocardial IRI via inhibiting NLRP3 inflammasome-mediated pyroptosis in a rat model of DCD.MethodsDonor-heart rats were randomly divided into three groups: (1) Control group: non-DCD hearts were harvested from heart-beating rats and immediately preserved with allogenic blood-based perfusate at constant flow for 105 min in the normothermic EVHP system; (2) DCD-vehicle group; and (3) DCD-melatonin group: rats were subjected to the DCD procedure with 25 min of warm ischemia injury and preserved by the normothermic EVHP system for 105 min. Melatonin (200 μmol/L) or vehicle was perfused in the cardioplegia and throughout the whole EVHP period. Cardiac functional assessment was performed every 30 min during EVHP. The level of oxidative stress, inflammatory response, apoptosis, and NLRP3 inflammasome-mediated pyroptosis of heart grafts submitted to EVHP were evaluated.ResultsTwenty five-minute warm ischemia injury resulted in a significant decrease in the developed pressure (DP), dP/dtmax, and dP/dtmin of left ventricular of the DCD hearts, while the treatment with melatonin significantly increased the DP, dP/dtmax of the left ventricular of DCD hearts compared with DCD-vehicle group. Furthermore, warm ischemia injury led to a significant increase in the level of oxidative stress, inflammatory response, apoptosis, and NLRP3 inflammasome-mediated pyroptosis in the hearts preserved with EVHP. However, melatonin added in the cardioplegia and throughout the EVHP period significantly attenuated the level of oxidative stress, inflammatory response, apoptosis, and NLRP3 inflammasome-mediated pyroptosis compared with DCD-vehicle group.ConclusionEVHP combined with melatonin post-conditioning attenuates myocardial IRI in DCD hearts by inhibiting NLRP3 inflammasome-mediated pyroptosis, which might expand the donor pool by the adoption of transplantable DCD hearts.
Specific Gut Microbiome and Serum Metabolome Changes in Lung Cancer Patients
Authors: Zhao Feng , An Rui , Wang Liqian , Shan Jikang , Wang Xianjun 
Published: September 2021

BackgroundLung cancer (LC) is one of the most aggressive, prevalent and fatal malignancies. Gut microbes and their associated metabolites are thought to cause and modulate LC development, albeit influenced by the host genetic make-up and environment. Herein, we identified and classified gut microbiota and serum metabolites associated with LC.MethodsStool samples were collected from 41 LC patients and 40 healthy volunteers. The gut microbiota was analyzed using 16S rRNA gene sequencing. Serum samples were collected from the same LC patients (n=30) and healthy volunteers (n=30) and serum metabolites were analyzed using liquid chromatography-mass spectrometry (LC-MS). Microbiome and metabolome data were analyzed separately and integrated for combined analysis using various bioinformatics methods.ResultsSerum metabolomics uncovered 870 metabolites regulated in 76 metabolic pathways in both groups. Microbial diversity analyses identified 15967 operational taxonomic units (OTUs) in groups. Of these, the abundance of 232 OTUs was significantly different between HC and LC groups. Also, serum levels of glycerophospholipids (LysoPE 18:3, LysoPC 14:0, LysoPC 18:3), Imidazopyrimidines (Hypoxanthine), AcylGlcADG 66:18; AcylGlcADG (22:6/22:6/22:6) and Acylcarnitine 11:0 were substantially different between HC and LC groups. Combined analysis correlated LC-associated microbes with metabolites, such as Erysipelotrichaceae_UCG_003, Clostridium and Synergistes with glycerophospholipids.ConclusionsThere is an intricate relationship between gut microbiome and levels of several metabolites such as glycerophospholipids and imidazopyrimidines. Microbial-associated metabolites are potential diagnostic biomarkers and therapeutic targets for LC.
Coronary Artery Disease: Optimal Lipoprotein(a) for Survival—Lower Is Better? A Large Cohort With 43,647 Patients
Authors: Liu Jin , Liu Liwei , Wang Bo , Chen Shiqun , Liu Buyun , Liang Jingjing , Huang Haozhang , Li Qiang , Lun Zhubin , Ying Ming , Chen Guanzhong , Huang Zhidong , Xu Danyuan , Yan Xiaoming , Zhu Tingting , Tadesse Girmaw Abebe , Tan Ning , Chen Jiyan , Liu Yong 
Published: September 2021

Background: A high level of lipoprotein(a) can lead to a high risk of cardiovascular events or mortality. However, the association of moderately elevated lipoprotein(a) levels (≥15 mg/dL) with long-term prognosis among patients with coronary artery disease (CAD) is still uncertain. Hence, we aim to systematically analyzed the relevance of baseline plasma lipoprotein(a) levels to long-term mortality in a large cohort of CAD patients.Methods: We obtained data from 43,647 patients who were diagnosed with CAD and had follow-up information from January 2007 to December 2018. The patients were divided into two groups (&lt;15 and ≥15 mg/dL). The primary endpoint was long-term all-cause death. Kaplan–Meier curve analysis and Cox proportional hazards models were used to investigate the association between moderately elevated baseline lipoprotein(a) levels (≥15 mg/dL) and long-term all-cause mortality.Results: During a median follow-up of 5.04 years, 3,941 (18.1%) patients died. We observed a linear association between lipoprotein(a) levels and long-term all-cause mortality. Compared with lipoprotein(a) concentrations &lt;15 mg/dL, lipoprotein(a) ≥15 mg/dL was associated with a significantly higher risk of all-cause mortality [adjusted hazard ratio (aHR) 1.10, 95%CI: 1.04–1.16, P-values = 0.001). Similar results were found for the subgroup analysis of non-acute myocardial infarction, non-percutaneous coronary intervention, chronic heart failure, diabetes mellitus, or non-chronic kidney diseases.Conclusion: Moderately elevated baseline plasma lipoprotein(a) levels (≥15 mg/dL) are significantly associated with higher all-cause mortality in patients with CAD. Our finding provides a rationale for testing the lipoprotein(a)-reducing hypothesis with lower targets (even &lt;15 mg/dL) in CAD outcome trials.
Cardioprotecive Properties of Known Agents in Rat Ischemia-Reperfusion Model Under Clinically Relevant Conditions: Only the NAD Precursor Nicotinamide Riboside Reduces Infarct Size in Presence of Fentanyl, Midazolam and Cangrelor, but Not Propofol
Authors: Xiao Yang , Phelp Philippa , Wang Qian , Bakker Diane , Nederlof Rianne , Hollmann Markus W. , Zuurbier Coert J. 
Published: September 2021

Background: Cardioprotective strategies against ischemia-reperfusion injury (IRI) that remain effective in the clinical arena need to be developed. Therefore, maintained efficacy of cardioprotective strategies in the presence of drugs routinely used clinically (e.g., opiates, benzodiazepines, P2Y12 antagonist, propofol) need to be identified in preclinical models.Methods: Here, we examined the efficacy of promising cardioprotective compounds [fingolimod (Fingo), empagliflozin (Empa), melatonin (Mela) and nicotinamide riboside (NR)] administered i.v. as bolus before start ischemia. Infarct size as percentage of the area of risk (IS%) was determined following 25 min of left ascending coronary (LAD) ischemia and 2 h of reperfusion in a fentanyl-midazolam anesthetized IRI rat model. Plasma lactate dehydrogenase (LDH) activity at 30 min reperfusion was determined as secondary outcome parameter. Following pilot dose-response experiments of each compound (3 dosages, n = 4–6 animals per dosage), potential cardioprotective drugs at the optimal observed dosage were subsequently tested alone or in combination (n = 6–8 animals per group). The effective treatment was subsequently tested in the presence of a P2Y12 antagonist (cangrelor; n = 6/7) or propofol aesthesia (n = 6 both groups).Results: Pilot studies suggested potential cardioprotective effects for 50 mg/kg NR (p = 0.005) and 500 μg/kg melatonin (p = 0.12), but not for Empa or Fingo. Protection was subsequently tested in a new series of experiments for solvents, NR, Mela and NR+Mela. Results demonstrated that only singular NR was able to reduce IS% (30 ± 14 vs. 60 ± 16%, P = 0.009 vs. control). Mela (63 ± 18%) and NR+Mela (47 ± 15%) were unable to significantly decrease IS%. NR still reduced IS in the presence of cangrelor (51 ± 18 vs. 71 ± 4%, P = 0.016 vs. control), but lost protection in the presence of propofol anesthesia (62 ± 16 vs. 60 ± 14%, P = 0.839 vs. control). LDH activity measurements supported all IS% results.Conclusion: This observational study suggests that NR is a promising cardioprotective agent to target cardiac ischemia-reperfusion injury in clinical conditions employing opioid agonists, benzodiazepines and platelet P2Y12 inhibitors, but not propofol.
Osteoporosis-Related Randomized Clinical Trials With Middle-Aged and Older Adults Registered on the International Clinical Trials Registry Platform
Authors: Lai Fenghua , Pei Ling , Chen Xinwen , Li Jin 
Published: September 2021

BackgroundA better understanding of the current features of osteoporosis-related randomized clinical trials (RCTs) is important for improving clinical trial designs and promoting the translatability of results into benefits for patients. However, there is a lack of thorough evaluation of osteoporosis-related RCTs in middle-aged and older populations. Therefore, this study aimed to investigate the characteristics of registered RCTs on osteoporosis among middle-aged and older adults on the International Clinical Trials Registry Platform (ICTRP).MethodsOsteoporosis-related RCTs registered on the ICTRP were searched on December 31, 2020. The main features of eligible RCTs were assessed. We searched PubMed, Google scholar, Medline, and Embase databases for the publication status of completed RCTs.ResultsA total of 537 osteoporosis-related RCTs were identified for analysis. The number of registered RCTs increased rapidly in 2005 (N = 47). Of these, 346 (64.4%) RCTs involved only women and 275 (51.2%) were retrospectively registered. Most RCTs were of open-label design (61.3%). The most common primary purpose of osteoporosis-related RCTs was treatment (72.3%). Intervention investigated was mainly focused on medication (62.8%), followed by lifestyle or education (19.0%), and dietary supplement (10.4%). After trial completion, the results of only 140 (35.5%) RCTs were available on the ICTRP, and the publication rate after trial completion was 30.5%.ConclusionsRCTs on osteoporosis among middle-aged and older adults were dominated by retrospectively registered and open-label trials. Most trials lacked available results and associated publications. More awareness of prospective registration and blinding design in osteoporosis-related RCTs is needed. Further, publication and dissemination of RCTs results should be promoted.
Tumor Expression Profile Analysis Developed and Validated a Prognostic Model Based on Immune-Related Genes in Bladder Cancer
Authors: Dong Bingqi , Liang Jiaming , Li Ding , Song Wenping , Zhao Shiming , Ma Yongkang , Song Jinbo , Zhu Mingkai , Yang Tiejun 
Published: September 2021

Background: Bladder cancer (BLCA) ranks 10th in incidence among malignant tumors and 6th in incidence among malignant tumors in males. With the application of immune therapy, the overall survival (OS) rate of BLCA patients has greatly improved, but the 5-year survival rate of BLCA patients is still low. Furthermore, not every BLCA patient benefits from immunotherapy, and there are a limited number of biomarkers for predicting the immunotherapy response. Therefore, novel biomarkers for predicting the immunotherapy response and prognosis of BLCA are urgently needed.Methods: The RNA sequencing (RNA-seq) data, clinical data and gene annotation files for The Cancer Genome Atlas (TCGA) BLCA cohort were extracted from the University of California, Santa Cruz (UCSC) Xena Browser. The BLCA datasets GSE31684 and GSE32894 from the Gene Expression Omnibus (GEO) database were extracted for external validation. Immune-related genes were extracted from InnateDB. Significant differentially expressed genes (DEGs) were identified using the R package “limma,” and Gene Ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis for the DEGs were performed using R package “clusterProfiler.” Least absolute shrinkage and selection operator (LASSO) regression analysis were used to construct the signature model. The infiltration level of each immune cell type was estimated using the single-sample gene set enrichment analysis (ssGSEA) algorithm. The performance of the model was evaluated with receiver operating characteristic (ROC) curves and calibration curves.Results: In total, 1,040 immune-related DEGs were identified, and eight signature genes were selected to construct a model using LASSO regression analysis. The risk score of BLCA patients based on the signature model was negatively correlated with OS and the immunotherapy response. The ROC curve for OS revealed that the model had good accuracy. The calibration curve showed good agreement between the predictions and actual observations.Conclusions: Herein, we constructed an immune-related eight-gene signature that could be a potential biomarker to predict the immunotherapy response and prognosis of BLCA patients.
PLCE1 Polymorphisms Are Associated With Gastric Cancer Risk: The Changes in Protein Spatial Structure May Play a Potential Role
Authors: Hu Xi’e , Jia Jintong , Yang Zhenyu , Chen Songhao , Xue Jingyi , Duan Sensen , Yang Ping , Peng Shujia , Yang Lin , Yuan Lijuan , Bao Guoqiang 
Published: September 2021

BackgroundGastric cancer (GC) is one of the most significant health problems worldwide. Some studies have reported associations between Phospholipase C epsilon 1 (PLCE1) single-nucleotide polymorphisms (SNPs) and GC susceptibility, but its relationship with GC prognosis lacked exploration, and the specific mechanisms were not elaborated fully yet. This study aimed to further explore the possible mechanism of the association between PLCE1 polymorphisms and GC.Materials and MethodsA case-control study, including 588 GC patients and 703 healthy controls among the Chinese Han population, was performed to investigate the association between SNPs of PLCE1 and GC risk by logistic regression in multiple genetic models. The prognostic value of PLCE1 in GC was evaluated by the Kaplan-Meier plotter. To explored the potential functions of PLCE1, various bioinformatics analyses were conducted. Furthermore, we also constructed the spatial structure of PLCE1 protein using the homology modeling method to analyze its mutations.ResultsRs3765524 C &gt; T, rs2274223 A &gt; G and rs3781264 T &gt; C in PLCE1 were associated with the increased risk of GC. The overall survival and progression-free survival of patients with high expression of PLCE1 were significantly lower than those with low expression [HR (95% CI) = 1.38 (1.1–1.63), P &lt; 0.01; HR (95% CI) = 1.4 (1.07–1.84), P = 0.01]. Bioinformatic analysis revealed that PLCE1 was associated with protein phosphorylation and played a crucial role in the calcium signal pathway. Two important functional domains, catalytic binding pocket and calcium ion binding pocket, were found by homology modeling of PLCE1 protein; rs3765524 polymorphism could change the efficiency of the former, and rs2274223 polymorphism affected the activity of the latter, which may together play a potentially significant role in the tumorigenesis and prognosis of GC.ConclusionPatients with high expression of PLCE1 had a poor prognosis in GC, and SNPs in PLCE1 were associated with GC risk, which might be related to the changes in spatial structure of the protein, especially the variation of the efficiency of PLCE1 in the calcium signal pathway.