bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparing the mental health and quality of life of athlete and non-athlete adolescents during the COVID-19 pandemic
Authors: nazari vahid , Dostipasha Morteza , alizadeh shirin , nazari saeed 
Published: July 2022

Abstract
This study was designed to compare the mental health and quality of life of athlete and non-athlete adolescents during the COVID-19 pandemic. The study statistical population included all adolescents aged 14 to 18 years living in Mazandaran province, out of which, 2897 adolescents were randomly selected. We performed an online survey among adolescents in Mazandaran province using GAD-7, PHQ-9, PFABS, and PEDSQL questionnaires. According to the results, athlete adolescents showed lower levels of anxiety and depression and higher quality of life compared to non-athlete adolescents. Moreover, the findings indicated that as the number of practice sessions increases throughout the week, the scores of physical activity and quality of life of athlete adolescents increase and their overall depression and anxiety scores decrease; however, the scores of generalized anxiety, depression, and quality of life among adolescent athletes with different training sessions in a week seem to be equal with no significant difference between them. The present results confirm the positive effect of physical activity on the mental health and quality of life related to the health of student adolescents.
Risk models for predicting diabetes and prediabetes in the first-degree Relatives (FDRs) of patients with type2 diabetic and its comparison with the Finnish Diabetes Risk Score (FINDRIC)
Authors: Shahraki Parisa Khodabandeh , Feizi Awat , Aminorroaya Sima , Ghanbari Heshmatollah , Abyar Majid , Amini Massoud , Aminorroaya Ashraf 
Published: July 2022

Abstract
Introduction: The prevalence of diabetes in Iranian adults is 9.5% with high morbidity and mortality. Here, we aimed to develop a risk model, monitoring the FDRs of patients with type 2 diabetes, who have normal glucose tolerance, to predict the onset of developing diabetes and prediabetes. Methods: A total of n = 1765 FDRs of patients with type 2 diabetes mellitus, who had normal glucose tolerance, were subjected to statistical analysis. Diabetes risk factors including anthropometric indices, physical activity, fast plasma glucose, plasma glucose concentrations two-hour after oral glucose administration, glycosylated hemoglobin, blood pressure, and lipid profile at the baseline were considered as independent variables. Kaplan-Meier, log Rank test, univariate, and multivariable proportional hazard Cox regression were conducted. The optimal cut point for risk score was created according to receiver operating characteristic curve (ROC) analysis. Results: The best diabetes predictability was achieved by a model in which waist to hip ratio, HbA1c, area under oral glucose tolerance curve (OGTT-AUC) and the lipid profile were included. The best prediabetes risk model included HbA1c, OGTT-AUC, systolic blood pressure, and the lipid profile. The predictive efficiencies of models were higher than FPG and HbA1c; however, the predictive efficiency of multivariable models were comparable to OGTT-AUC alone. Additionally, diabetes models and OGTT-AUC showed better performance than FINDRISC.Discussion: We recommend regular tests for FDRs of patients with type 2 diabetes to predict the risk of diabetes and prediabetes by using the OGTT-AUC. As a health check assessment tool, our diabetes models showed a more precise predictor compared to FINDRISC in our population.
An integrative metatranscriptomic analysis reveals differences in enteric methanogenesis mechanisms between cows and goats
Authors: Corral-Jara Karla Fabiola , Ramayo-Caldas Yuliaxis , Bernard Laurence , Martin Cécile , Tournayre Jeremy , Morgavi Diego P. , Popova Milka 
Published: July 2022

Abstract
Background: Reducing enteric methane emissions from farmed ruminants can be achieved by various nutritional strategies. However, it remains unclear to what extent the effects of diet on rumen microbiome are comparable between different ruminant species. In this work, we compared the effects of starch- and/or lipids-rich diets on the rumen microbiome of cows and goats to enhance our understanding of microbial mechanisms of methanogenesis. The study enrolled four Holstein cows and four Alpine goats, conducted simultaneously in a replicate 4×4 Latin square design, receiving the same ration based on grassland hay and concentrate (CTL) or supplemented with corn oil and wheat starch (COS), marine algae powder (MAP) or hydrogenated palm oil (HPO). The microbiome was studied using non-targeted total RNA sequencing. Results: To identify biologically relevant features, we developed a five-step biostatistical pipeline, combining a network-based approach with clustering and supervised model fitting to associate differentially expressed genes (deKEGGs) and Operational Taxonomic Units (deOTUs) with methane emissions. The COS diet induced the highest methane emissions reduction for cows and goats and most profoundly affected the microbiome. With a focus on the COS vs. CTL comparison, the number of deOTUs and deKEGGs in cows (16 and 381) was higher than in goats (10 and 133). Moreover, clustering analysis revealed network topology and functionality differences between ruminant species. In goats, the reduction in methane emissions was strongly associated with genes involved in Carbohydrate metabolism, and genes coding for methylotrophic and hydrogenotrophic pathways of methanogenesis were overrepresented; in cows, only the hydrogenotrophic pathway was prevalent. Further, sPLS analysis identified potential biomarkers characteristic of each ruminant species, such as tetrahydromethanopterin S-methyltransferase and fructose bisphosphate aldolase for cows, and Methanol: coenzyme M methyltransferase, F420-non-reducing hydrogenase for goats. Conclusions:Overall, these results demonstrated a strong influence of the ruminant species on the responses of the rumen microbial community to dietary changes. We observed that the COS diet reduced similarly enteric methane emissions in cows and goats, but the induced shifts in the rumen microbiome were not the same. These results suggest that the host-animal species conditions microbial interactions within the rumen ecosystem.
Habitat Loss for Black Flying Foxes and Implications for Hendra virus
Authors: Baranowski Kelsee , Bharti Nita 
Published: July 2022

Abstract
ContextEnvironmental change impacts natural ecosystems and wildlife populations. In Australia, native forests have been heavily cleared and the local emergence of Hendra virus (HeV) is theorized to be related to environmental change. ObjectivesWe quantified changes in landscape factors for Pteropus alecto, a reservoir host of HeV also called black flying foxes, in sub-tropical Queensland, Australia from 2000-2020. We hypothesized that native winter habitat loss and native remnant forest loss were greatest in areas with the most human population growth.MethodsWe measured the spatiotemporal change in human population size and native ‘remnant’ woody vegetation extent. We assessed changes in the observed P. alecto population and native winter habitats in the 7 bioregions where P. alecto are observed roosting in winter. We assessed changes in the amount of remnant vegetation across bioregions and within 50km foraging buffers around roosts.ResultsHuman populations in these bioregions grew by 1.18M people, mostly within 50km foraging areas around known roosts. Remnant forest extent increased overall, but net growth was observed only in a bioregion with no Pteropus roosts. Winter habitats were continuously lost across all spatial scales. Observed populations of P. alecto declined. ConclusionNative remnant forest loss and winter habitat loss were not directly linked to spatial human population growth. Rather, most remnant vegetation was cleared for indirect human use. We observed forest loss and regrowth in response to state land clearing policies. Expanded flying fox population surveys are needed to better understand how landuse change has impacted P. alecto distribution and Hendra virus spillover.
Dysbiosis: an indicator of COVID-19 severity in critically ill patients
Authors: Cuenca Silvia , Soler Zaida , Serrano-Gomez Gerard , Xie Zixuan , Barquinero Jordi , Roca Joaquim , Sirvent Jose-Maria , Manichanh chaysavanh 
Published: July 2022

Abstract
Background: Research into the association between the microbiome and SARS-CoV-2 infection and acute respiratory distress syndrome remains unclear. Here we examined the dynamics of the gut and respiratory microbiomes in severe COVID-19 cases in need of mechanical ventilation in the intensive care unit (ICU).Methods: We recruited 76 critically ill patients (48 with COVID-19 and 32 without COVID-19) and 17 healthy controls (HCs) and monitored them for up to 4 weeks. We analyzed the bacterial and fungal taxonomic profiles and loads of 232 gut and respiratory samples and we measured blood levels of Interleukin 6, IgG, and IgM in COVID-19 patients.Results: At ICU admission, bacterial composition and load in the gut and respiratory samples were altered in critically ill patients compared to HCs. Six bacterial species could discriminate ICU-COV(+) from ICU-COV(-) cases. During their time in the ICU, all patients experienced increased bacterial and fungal loads, decreased bacterial richness, and progressive changes in bacterial and fungal taxonomic profiles. In ICU-COV(+) patients, Pseudomonas was found positively and Streptococcus negatively correlated with the length of ICU stay. Respiratory bacterial signatures, associated with disease severity and inflammation markers, were predictive of death and a fecal dysbiosis score, associated negatively with PaO2/FiO2 ratio, could be used as an additional indicator for ICU admission.Conclusion: We propose using a high-throughput sequencing approach as an alternative to traditional isolation techniques to monitor the ICU-COV(+) patient infection.
Research on personalized user-centered product improvement based on sentiment mining of online reviews and competitor analysis
Authors: Liu Fang , Li Shugang 
Published: July 2022

Abstract
Online reviews contain a wealth of information about product performance and user sentiment, which can effectively assist manufacturers to make production decisions. Taking abundant online reviews as data, this study mined product attributes and consumer sentiments to analyze users' personalized preferences and the performance of competitive products, and proposed personalized user-centered product improvement strategies for differentiated markets. Specifically, the word2vec technology and the LSTM neural network were applied to develop the sentiment mining method that was suitable for specific product domain, through which the explicit emotional information was extracted from product reviews and the missing emotional information was also predicted combined with the overall sentiment of the review text and the attitude of other consumers. On this basis, the k-means method was applied in this model firstly to segment the users according to their emphasis on product attributes. Then, a preference identification model that describes the relative importance of product attributes was designed according to the utility function and KANO theory, so as to measure consumers’ various preferences of each user group. Finally, combined with the relative performance of product attributes, the traditional IPA model was optimized to determine the improvement priority of attributes for different user groups to meet user preferences in a differentiated way. These work helps enrich the relevant theories and methods of sentiment mining and provides practical guidance for user-centered product improvement.
Machine Learning Model Identifies Genomic Variation in Noise-Induced Hearing Loss via Whole-exome Sequencing
Authors: Fan Boya , Wang Gang , Han Haolun , Li Baowei , Wang Lei , Qu Changbei , Zhang Xiaoli , Liu Hongdan , Sun Zhezhe , Zhou Ying , Zhang Yiyan , Wu Wei 
Published: July 2022

Abstract
Noise-induced hearing loss (NIHL) is related to noise exposure and whether humans suffered from NIHL is also related to different sensitivity to noise. Whole exome sequencing (WES) can detect the genetic mutations of NIHL population so as to find the susceptibility of different people from the genetic level. WES can identify contributing genes, not only find NIHL susceptibility genes, but also divide patient cohort into different subtypes. We conducted a case-control (n = 78, n = 35, respectively) study to find the susceptibility genes of NIHL through WES and stratified the cases into subtypes, so as to achieve the purpose of precision medicine. 73 gene variants were used to train the unsupervised machine learning model which separated the case from the control group and divide the population into two subtypes. Supervised machine learning methods compared the above constructed subgroup classification models. This is the first study to link NIHL with gene variants and has produced a new potential classification method that can be applied to precision medicine in people’s different sensitivity to noise. These observations deserve further study on independent and larger clinical samples in order to provide new information for future research on the susceptibility of NIHL.
Viscosalactone B, a natural LSD1 inhibitor, inhibits proliferation in vitro and in vivo against prostate cancer cells
Authors: Yan Gaobo , Zhang Hongyan , Li Yan , Miao Guoqiang , Liu Xiaolei , Lv Qifan 
Published: July 2022

Abstract
Lysine specific demethylase 1 (LSD1) has been a promising target to treat prostate cancer, and discovery of the novel LSD1 inhibitor has great clinical significance. In this work, viscosalactone B was first identified as a novel LSD1 inhibitor. Viscosalactone B isolated from Withania Somnifera displayed the antiproliferative activity against PC3, DU145, C42B, PC3/MDVR, DU145/MDVR and C42B/MDVR cells with IC50 values of 1.17, 0.72, 3.86, 2.06, 0.96 and 1.15 µM, respectively. It was a selective LSD1 inhibitor with an IC50 value of 970.27 nM and concentration-dependently induced the significant accumulation of LSD1 substrates H3K9me1, H3K9me2 and H3K4me1 against DU145 cells. According to docking studies, it formed hydrogen bonds with Thr11, Lys14 and Arg8. Importantly, it displayed the potent antitumor efficacy in vivo and exhibited no obvious cytotoxicity on the major organs of nude mice. Therefore, viscosalactone B as a novel LSD1 inhibitor is a potential candidate to treat prostate cancer.
The use of Dexmedetomidine in preterm infants: a single academic center experience.
Authors: Hernandez Juan Guillen , Kyllonen Kay , Tumin Dmitry , Rodriguez Ricardo 
Published: July 2022

Abstract
Introduction:
Preterm newborns (PTNB) often require sedation and analgesia. Opioids (OPs) and benzodiazepines (BZDs) have been commonly used but are associated with detrimental effects. Dexmedetomidine (Dex) seems a promising alternative. However, data on dosing, length of therapy and adverse events in extreme PTNB are limited.
Objective
To describe the use of Dex in extreme PTNB in a single academic center
Study Design:
A retrospective cohort study of PTNB receiving Dex for sedation/analgesia from January 1st, 2010, through December 31st, 2018. At The Cleveland Clinic Children's Hospital an urban tertiary academic center with two Level III and one level IV Neonatal Intensive Care Units (NICU) at different campuses. Inclusion criteria were gestational age (GA) < 36 weeks and receipt Dex for > 2 days. Dex dose and length of treatment were recorded. Clinical response was gauged by reviewing Neonatal Pain, Agitation and Sedation Scale (N-PASS) scores for achievement of the goal (≤ 3). Adverse events were recorded as the incidence of hypotension, bradycardia, and respiratory depression.
Results
381 patient charts were reviewed, and 105 patients were included. The birth weight median was 800 grams (range 400–3790); the GA median was 28 weeks (range 22–35). Duration of Dex infusion averaged seven days. Dex dose ranged from 0.2 to 1.2mcg/kg/hour and averaged 0.4mcg/kg/hour. Infants weighing < 1 Kg received a significantly higher Dex dose than infants weighing more or equal to 1 kg (0.5 vs. 0.4mcg/kg/hr, respectively; p = < 0.01). Bradycardia was observed in 35 patients < 1 kg (57%) and in 7 patients > 1 kg (18%) p < 0.01. There was no difference in the incidence of hypotension, fluid resuscitation, or inotropic use between groups defined by birth weight. However, infants < 1 kg required more pharmacological interventions to maintain N-PASS score < 3.
Conclusions
DEX was well tolerated overall and provided adequate sedation to PTNB in this cohort. This is a report of its use in extreme premature infants, providing guidance of dosages, length of therapy, and possible weaning strategies.
Enzymatic polymerization of enantiomeric DOPA into films with enhanced rigidity and stability
Authors: Shen Yuhe , Su Rongxin , Hao Dongzhao , Wang Yuefei , Reches Meital , Chang Heng , Xu Xiaojian , Yu Tao , Li Qing , Zhang Xiaoyu , Wang Yuefei , Qi Wei , He Zhimin 
Published: July 2022

Abstract
L-3,4-dihydroxyphenylalanine (L-DOPA) is an important molecule in the adhesion of mussels, and as an oxidative precursor of natural melanin, it plays an important role in living system. However, the effect of chirality of DOPA monomers on its polymerization and adhesion is still unclear. Here, we investigated the effect of the molecular chirality of DOPA on the properties of the self-assembled films by tyrosinase-induced oxidative polymerization. The kinetics and morphology of pure enantiomers is completely altered upon their co-assembly, allowing the fabrication of layer-to-layer stacked nanostructures and films with improved structural and thermal stability. The different molecular arrangements and self-assembly mechanisms of the L+D-racemic mixtures, whose oxidation products have both increased molecular weight and binding energy, resulting in stronger intermolecular forces and more ordered sheet-stacking arrangements. This leads to the formation of films with a Young's modulus as high as 139 GPa, which is the highest value reported so far for biological materials. This study provides a simple pathway for the fabrication of biomimetic polymeric materials with enhanced physicochemical properties by control the chirality of monomers.
Age-associated B cells are long-lasting effectors that impede latent gHV68 reactivation
Authors: Mouat Isobel C. , Shanina Iryna , Horwitz Marc S. 
Published: July 2022

Abstract
Age-associated B cells (ABCs; CD19+CD11c+T-bet+) are a unique population that are increased in an array of viral infections, though their role during latent infection is largely unexplored. Here, we use murine gammaherpesvirus 68 (γHV68) to demonstrate that ABCs remain elevated long-term during latent infection and express IFNγ and TNF. Using a recombinant γHV68 that is cleared following acute infection, we show that ABCs persist in the absence of latent virus, though their expression of IFNγ and TNF is decreased. With a fluorescent reporter gene-expressing γHV68 we demonstrate that ABCs are infected with γHV68 at similar rates to other previously activated B cells. We find that mice without ABCs display defects in anti-viral IgG2a/c antibodies and are more susceptible to reactivation of γHV68 following virus challenges that typically do not break latency. Together, these results indicate that ABCs are a persistent effector subset during latent viral infection that impedes γHV68 reactivation.
Umbilical cord mesenchymal stem cells and monosialotetrahexosy 1 ganglioside alleviate neuroinflammation in traumatic brain injury
Authors: Fang Yanwei , Qiu Wenna , Li Xin , Jin Qianxu , Yan Hongshan , Yu Ning , Zhao Jianhui , Tan Yi , Zhao Zongmao 
Published: July 2022

Abstract
Neuroinflammation and activated microglia play important role in neuron damage in the traumatic brain injury (TBI). In this study, we determined the effect of human umbilical cord mesenchymal stem cells (UMSCs) combined with monosialotetrahexosy 1 ganglioside (GM1) on the neuroinflammation and polarization of microglia in a rat model of TBI, which was established in male rats using a fluid percussion brain injury device. Rats survived until day 7 after TBI were randomly treated with saline (NS), GM1, UMSCs, and GM1 plus UMSCs. Modified neurological severity score (mNSS) was assessed on days 7 and 14, and the brain tissue of the injured region was collected. Immunofluorescence, RT-PCR, and western blot analysis found that neuroinflammatory cytokines and CD163 protein expression levels in injured brain tissues was significantly decreased rats treated with GM1+UMSCs, GM1, or UMSCs were up-regulated compared with saline-treated rats. iNOS protein expression was down-regulated compared with rats treated with saline. The protein expression levels of NE, NF-200, MAP-2 and β-tubulin III were increased in the injured brain tissues from rats treated with GM1 + UMSCs, or GM1 and UMSCs alone compared with those in the rats treated with NS. The protein expression levels in rats treated with GM1 plus UMSCs was most significant on day 7 following UMSC transplantation. The rats treated with GM1 plus UMSCs had the lowest mNSS compared with that in the other groups. These data suggest that UMSCs and GM1 reduce the neuroinflammation and neurodegeneration through coordinating the polarization state of microglia to promote the recovery of neurological functions in the TBI.
Clinical characteristics of 14 pediatric mycoplasma pneumoniae pneumonia associated thrombosis: A retrospective study
Authors: Fu Y , Zhang TQ , Dong CJ , Xu YS , Dong HQ , Ning J 
Published: July 2022

Abstract
Objective: The aim of the study was to investigate the clinical characteristics and long-term prognosis of Mycoplasma pneumoniae pneumonia (MPP) associated thrombosis,and to improve the understanding of the diagnosis and treatment of the disease.Methods: We retrospectively reviewed the medical records of 14 children with MPP-associated thrombosis between January 2016 and April 2020 at Tianjin Children’s Hospital.Results: The ages of patients were from 3 years old to 12 years old.Among these 14 cases, five cases of pulmonary embolism，two cases of cerebral infarction, one case of splenic infarction, one case of cardiac embolism ,two cases combined cardiac embolism and pulmonary embolism，one case combined internal carotid artery and pulmonary embolism，one case combined internal carotid artery and the cerebral infarction, one case combined cardiac embolism and lower limb artery embolism。All cases had D-dimer rise. After thrombolysis and anticoagulation therapy three cases with cerebral embolism still have neurological sequelae the rest all recovered well.Conclusion: MPP-associated thrombosis can occur in a vessel of any part of the body.Thrombosis-associated symptoms may be complicated and various. Elevated D-Dimer in a child with refractory Mycoplasma pneumoniae pneumonia should raise suspicion for thrombosis.The long-term prognosis of thrombosis was good after timely administration of anticoagulant therapy.