bluuebunny/crossref_metadata_2025_split huggingface dataset:
EuroQol-5D-3L in Long Covid Patients After Supplementation with EchA Marine®, a Sea Urchin Eggs Extract: a double-blinded, multicentrical randomized trial.
Authors: Brichetti V. , Rubilar T. , T J. , Montecino P. , Crespi-Abril A.C. , Barbieri E. , Núñez M.R. , Vásquez J. Iriarte , Jajati M. , Volonteri C. , Sivori M. , de Larrañaga G. , Saldarini F. 
Published: August 2023

Abstract
A double-blinded, multicentrical randomized trial was conducted between September 2021 and December 2022, at 3 hospitals in Buenos Aires. Adult men or non-pregnant adult women between 18-60 years with Long-COVID diagnosed were randomly assigned to the intervention or control group. Patients received EchA Marine®, a dietary supplement based on sea urchin eggs, or matching placebo as follows: 2 daily doses of 3ml for 3 months. The objective was comparing the effectiveness of the dietary supplement with placebo to improve quality of life. The main outcome measures were the values of the dimensions of health of EuroQol 5-Dimension (EQ-5D) questionnaire. Randomization was computer-generated, with allocation concealment by opaque sequentially numbered sealed envelopes. Sequentially numbered identical containers were administered serially to each participant. The randomization results were blinded for the remainder of the research team and for the patients. A total of 50 Long COVID patients were recruited, 22 received placebo and 24 received treatment. Treatment was successful, enhancing quality of patients’ life. Particularly in pain and discomfort (p= 0.005) and mobility (p= 0.013); improving their quality of life and daily activity’s ability. The dietary supplement EchA Marine® is an effective treatment option for Long COVID patients. Trial Registry: www.clinicaltrials.gov; Identifier: NCT05531019.
Predictors of Non-Variceal Hemorrhage in a National Cohort of Patients with Chronic Liver Disease
Authors: Afzal Amber , Kesavan Preethi , Suhong Luo , Gage Brian , Korenblat Kevin , Schoen Martin , SANFILIPPO KRISTEN 
Published: August 2023

Abstract

Background:
Non-variceal hemorrhage in patients with chronic liver disease (CLD) increases morbidity, mortality, and healthcare costs. There are limited data on risk factors for non-variceal hemorrhage in the CLD population. The aim of this study is to assess the predictive value of various clinical and laboratory parameters for non-variceal hemorrhage in CLD patients.
Methods:
We conducted a retrospective cohort study of U.S. veterans diagnosed with CLD between 2002 and 2018 within the Veterans Health Administration database. We derived candidate variables from existing risk prediction models for hemorrhage, risk calculators for severity of liver disease, Charlson index of prognostic comorbidities, and prior literature. We used a competing risk analysis to study the relationship between putative risk factors and incidence of non-variceal hemorrhage in patients with CLD.
Results:
Of 15,183 CLD patients with no history of cancer or anticoagulation use, 674 experienced non-variceal hemorrhage within one year of CLD diagnosis. In multivariable analysis, 11 of the 26 candidate variables independently predicted non-variceal hemorrhage: race, INR > 1.5, bilirubin >/= 2 mg/dL, albumin </=3.5 g/dL, anemia, alcohol abuse, antiplatelet therapy, chronic kidney disease, dementia, proton pump inhibitor prescription, and recent infection.
Conclusions:
In this study of almost 15,000 veterans, risk factors for non-variceal bleeding within the first year after diagnosis of CLD included non-Caucasian race, laboratory parameters indicating severe liver disease and recent infection in addition to the risk factors for bleeding observed in a general non-CLD population.
New Biomarker in Spinocerebellar ataxia type 3: Handgrip Strength
Authors: Chiu Chung-Min , Cheng Wen-Ling , Lin Yong-Shiou , Lin Ta-Tsung , Chang Hui-Ju , Chang Yu-Jun , Lee Chia-Ju , Chang Hen-Hong , Liu Chin-San 
Published: August 2023

Abstract
Background Spinocerebellar ataxia type 3 (SCA3) is an inherited, autosomal, and rare neurodegenerative disease. Serum/plasma biomarkers or functional magnetic resonance imaging used to assess progression, except for neurological examinations, is either inconvenient or expensive. Handgrip strength (HGS) may be considered as a biomarker to predict the progress of SCA3 and align with the alteration of plasma neurofilament light chain (NfL) and Scale for the Assessment and Rating of Ataxia (SARA).Methods Patients with SCA3 and healthy subjects were recruited from Changhua Christian Hospital. SARA, body mass index (BMI), and NfL were obtained for both groups. HGS was measured using a Jamar Plus + hand dynamometer.Results This study recruited 31 patients and 36 controls. HGS in the SCA3 group revealed a profound decrease (P < 0.001) compared with normal subjects. HGS also had a negative correlation with SARA (r = − 0.548, P = 0.001), NfL (r = − 0.359, P = 0.048), and a positive correlation with BMI (r = 0.680, P < 0.001). Moreover, HGS/BMI ratio correlated with SARA (r = − 0.441, P = 0.013). Controlling for gender and age, HGS still correlated with the above clinical items. The initial hypothesis was also proved in SCA3 84Q transgenic mice, showing grip strength weakness compared to normal mice.Conclusions HGS can be an alternative tool to assess the clinical severity of SCA3. Further research is needed to investigate the underlying mechanisms.
The Role of Morphine-Induced Impairment of Intestinal Epithelial Antibacterial Activity in Dysbiosis and its Impact on the Microbiota-Gut-Brain Axis
Authors: Muchhala Karan , Kang Minho , Koseli Eda , Poklis Justin , Xu Qingguo , Dewey William , Fettweis Jennifer , Jimenez Nicole , Akbarali Hamid 
Published: August 2023

Abstract
Recent evidence suggests that chronic exposure to opioid analgesics such as morphine disrupt the intestinal epithelial layer and cause intestinal dysbiosis. Inhibiting opioid-induced dysbiosis can preclude the development of tolerance to opioid-induced antinociception, suggesting an important role of the gut-brain axis in mediating opioid effects. However, the mechanism underlying opioid-induced dysbiosis remains unclear. Host-produced antimicrobial peptides (AMPs) are critical for the integrity of the intestinal epithelial barrier as they prevent the pathogenesis of the enteric microbiota. Here, we report that chronic morphine exposure reduces expression of the antimicrobial peptide, Regenerating islet-derived 3 gamma (Reg3γ), in the ileum resulting in reduced intestinal antimicrobial activity against Gram-positive bacteria, L. reuteri. Fecal samples from morphine-treated mice had reduced levels of the phylum, Firmicutes, concomitant with reduced levels of short-chain fatty acid, butyrate. Fecal microbial transplant (FMT) from morphine-naïve mice restored the antimicrobial activity, the expression of Reg3γ, and prevented the increase in intestinal permeability and the development of antinociceptive tolerance in morphine-dependent mice. Similarly, oral gavage with sodium butyrate dose-dependently reduced the development of antinociceptive tolerance, and prevented the downregulation of Reg3γ and the reduction in antimicrobial activity. The alpha diversity of the microbiome was also restored by oral butyrate in morphine-dependent mice. These data implicate impairment of the antimicrobial activity of the intestinal epithelium as a mechanism by which morphine disrupts the microbiota-gut-brain axis.
Nanozyme as detector and eliminator to environmental pollutants: Between current situation and future prospective
Authors: Elkomy Hager A. , El-Naggar Shimaa A. , Elantary Mariam A. , Gamea Sherif M. , Ragab Mahmoud A. , Basyouni Omar M. , Mouhamed Moustafa S. , Elnajjar Fares F. 
Published: August 2023

Abstract
The name "nanozyme" refers to a nanomaterial with capabilities similar to those of an enzyme; in recent years, nanozymes have developed quickly. Nanozymes show notable advantages over natural enzymes, including an easy production process, a low cost, a lengthy storage time, and great environmental stability. In this review, we briefly discuss a number of common uses for nanozymes, including the detection and removal of pollutants like pathogens, toxic ions, pesticides, phenols, organic pollutants, air pollution, and antibiotic residues. We then concentrate on anticipated challenges and future developments for nanozymes. Research in this area has been increasingly interesting as a result of the quick growth of nanozyme applications in bioscience and technology, and it is anticipated that it will soon be an explosive subject for discussion.
A unifying principle for global greenness patterns and trends
Authors: Cai Wenjia , Zhu Ziqi , Harrison Sandy , Ryu Youngryel , Wang Han , Zhou Boya , Prentice Iain 
Published: August 2023

Abstract

Vegetation cover regulates the exchanges of energy, water and carbon between land and atmosphere. Remotely-sensed fractional absorbed photosynthetically active radiation (fAPAR), a land-surface greenness measure, depends on carbon allocation to foliage while also controlling photon flux for photosynthesis. Greenness is thus both a driver and an outcome of gross primary production (GPP). An equation with just two (globally) fitted parameters describes seasonal maximum fAPAR (fAPARmax) as the smaller of a water-limited value transpiring a constant fraction of annual precipitation, and an energy-limited value maximizing annual plant growth. This minimalist description reproduces global greenness patterns, and the consistent temporal trends among remote-sensing products, as accurately as the best-performing dynamic global vegetation models. Widely observed greening is attributed to the influence of rising carbon dioxide on the light- and water-use efficiencies of GPP, augmented by wetting in some dry regions and warming in high latitudes. Limited regions show browning, attributed to drying.
A pragmatic randomized strategy comparative clinical study of Pharmacopuncture for HIVD of L-spine: Study protocol for a randomized, single-blinded, sham-controlled, parallel-group, clinical trial
Authors: Won Eun Sol , Ryu Hwa Yeon , Choi Youn Young , Kang Jae Hui , Kim Young Kyung 
Published: August 2023

Abstract
Background
Back pain is a symptom experienced by more than 80% of the total population in terms of socioeconomic aspects. Herniation of Intervertebral disk(HIVD) occupies an important position as the cause of back pain.
Methods
This study compares the strategy of treating these pharmacopuncture with korean medicine treatment and the strategy of korean medicine treatment(KMT) Through this, the benefit effect or appropriateness of pharmacopuncture in the clinical treatment environment is confirmed. This study is a researcher clinical study.
Discussion
This study compares pharmacological parallel korean medicine treatment(KMT) group and the general KMT group with HIVD. Through this, a practical clinical research protocol is developed to confirm the benefit effect of pharmacopuncture in a clinical care environment. Although it has the advantage of reflecting the clinical environment well, there is a high possibility of twisting errors. Various possibilities will be fully reviewed in advance to overcome the limitations of practical. This will provide a cornerstone for conducting reliable clinical trials in the future in addition to practical clinical protocol proposals for HIVD initial research design. The goal of this paper is to develop a high-quality clinical protocol. This will provide a cornerstone for conducting reliable clinical trials in the future in addition to practical clinical protocol proposals for HIVD.
Trial registration
This trial was registered with the Clinical Research Information Service (CRIS-KCT0008542).
The impact of clinical genome sequencing in a global population of patients with suspected rare genetic disease
Authors: Taft Ryan , Thorpe Erin , Williams Taylor , Shaw Chad , Chekalin Evgenii , Ortega Julia , Robinson Keisha , Button Jason , Jones Marilyn , Campo Miguel del , Basel Donald , McCarrier Julie , Keppen Laura Davis , Royer Erin , Foster-Bonds Romina , Duenas-Roque Milagros , Urraca Nora , Bosfield Kerri , Brown Chester , Lydigsen Holly , Mroczkowski Henry , Ward Jewell , Sirchia Fabio , Giorgio Elisa , Vaux Keith , Salguero Hildegard Peña , Zola Aimé Lumaka , Mubungu Gerrye , Makay Prince , Ngole Mamy , Lukusa Prosper , Vanderver Adeline , Muirhead Kayla , Sherbini Omar , Lah Melissa , Anderson Katelynn , Montoya Jeny Bazalar , Rodriguez Richard , Olivas Mario Cornejo , Milla-Neyra Karina , Shinawi Marwan , Magoulas Pilar , Henry Duncan , Gibson Kate , Wiafe Samuel , Jayakar Parul , Salyakina Daria , Masser-Frye Diane , Serize Arturo , Perez Jorge , Taylor Alan , Shenbagam Shruti , Tayoun Ahmad Abou , Malhotra Alka , Bennett Maren , Rajan Vani , Avecilla James , Warren Andrew , Arseneault Max , Kalista Tasha , Crawford Ali , Ajay Subramanian , Perry Denise , Belmont John 
Published: August 2023

Abstract
Clinical genome sequencing (cGS) holds promise as a unified diagnostic testing platform in patients with a suspected rare genetic disease (RGD), however its performance and impact on clinical management in a diverse global population has yet to be investigated. The iHope program established a network of 24 clinical sites in eight countries to provide cGS to individuals with signs or symptoms of a RGD and constrained access to molecular testing. A retrospective, observational analysis of 1,004 individuals who received cGS testing from June 2016 through September 2021 was performed. The cGS diagnostic yield in this diverse cohort (51.8% non-majority European) was 41.4% (416/1004), with patients from sites in low- and middle-income countries (LMIC) 2.6-times more likely to receive a positive test result compared to sites in high-income countries (HIC) (95% CI 1.9–3.4, p < 0.0001). Changes in diagnostic evaluation and management were reported in 76.9% and 69.2% of cases, respectively. Comparison of LMIC and HIC patients with positive test results demonstrated that LMIC patients were equally likely to experience a change in DE (OR 6.1, 95% CI 1.1- , p = 0.05) and COM (OR 0.9, 95% CI 0.5–1.3, p = 0.49), indicating that increased access to cGS may support diagnostic equity and the reduction of global health care disparities.
Consistent stoichiometric long-term relationships between nutrients and chlorophyll-a across lakes
Authors: Graeber Daniel , McCarthy Mark , Shatwell Tom , Borchardt Dietrich , Jeppesen Erik , Søndergaard Martin , Lauridsen Torben Lindig , Davidson Thomas 
Published: August 2023

Abstract
Aquatic ecosystems are threatened by eutrophication from nutrient pollution1. In lakes, eutrophication causes a plethora of deleterious effects, such as harmful algal blooms, fish kills2 and increased methane emissions3. However, lake-specific responses to nutrient changes are highly variable, complicating eutrophication management4. These lake-specific responses could result from short-term stochastic drivers overshadowing lake-independent, long-term relationships between phytoplankton and nutrients5. Here we show that strong stoichiometric relationships exist between nutrients and chlorophyll a (Chla) for 5-year simple moving averages (SMAs, median R² = 0.87) along a gradient of total nitrogen to total phosphorus (TN : TP) ratios. These stoichiometric relationships are consistent across 159 shallow lakes from a cross-continental, open-access database. We calculated 5-year SMA residuals to assess short-term variability and found substantial short-term Chla variation which was weakly related to nutrient concentrations (median R² = 0.12). Our findings are robust and broadly relevant. We found consistent statistical estimates based on a rigorous bootstrap approach and included all data from lakes under six meters average depth, a category that includes 89% of global lakes. These stoichiometric long-term relationships can improve quantitative nutrient management in lakes and their catchments through a nutrient-ratio-based strategy.
Mating harassment may boost the effectiveness of the sterile insect technique for Aedes mosquitoes
Authors: Bouyer Jérémy , Zhang Dongjing , Maiga Hamidou , Li Yongjun , Bakhoum Mame Thierno , Wang Gang , Sun Yan , Damiens David , Mamai Wadaka , Somda Nanwintoum , Wallner Thomas , Masso Odet Bueno , Martina Claudia , Kotla Simran , Yamada Hanano , Deng Lu , Tan Cheong Huat , Guo Jiatian , Feng Qingdeng , Zhang Junyan , Zhao Xufei , Paerhande Dilinuer , Pan Wenjie , Wu Yu , Zheng Xiaoying , Wu Zhongdao , Xi Zhiyong , Vreysen Marc 
Published: August 2023

Abstract
The sterile insect technique (SIT) is based on the overflooding of a target population with released sterile males inducing sterility in the wild female population. The SIT has proven to be effective against several insect pest species of agricultural and veterinary importance and is under development for Aedes mosquitoes. Here, we show that the release of sterile males in high sterile male to wild female ratios may also impact the target female population through mating harassment. Under laboratory conditions, male to female ratios above 50 to 1 reduced the longevity of female Aedes mosquitoes by reducing their feeding success. Under semi-field conditions, blood uptake of females from an artificial host and biting rates on humans were also strongly reduced. Finally, in a field SIT trial conducted in a 1.17 ha area in China, the female biting rate was reduced by 80%, concurrent to a reduction of female mosquito density of 40% due to the swarming of males around humans attempting to mate with the female mosquitoes. This suggests that the SIT does not only suppress mosquito vector populations through the induction of sterility, but might also reduce disease transmission due to increased female mortality and lower host contact.
A Fault Diagnosis Method for Wireless Sensor Network nodes based on Belief Rule Base with Adaptive Attribute Weights
Authors: Shi Ke-Xin , Li Shi-Ming , Sun Guo-Wen , Feng Zhi-Chao , He Wei 
Published: August 2023

Abstract
Due to wireless sensor networks (WSNs)’ harsh operating environment and ultralong operating hours, node failures are inevitable. Ensuring the dependable collection of data necessitates the utmost importance of diagnosing faults in nodes within the wireless sensor network. Typically, the initial step in the fault diagnosis of WSN nodes involves extracting numerical features from neighboring nodes. However, a solitary data feature assigned a high weight fails to effectively discriminate between all types of faults. Therefore, this study introduces an enhanced variant of the traditional belief rule base (BRB), called the belief rule base with adaptive attribute weights (BRB-AAW). First, the data features are extracted as input attributes for the model. Second, a fault diagnosis model for WSN nodes, incorporating BRB-AAW, is established by integrating expert knowledge initialization parameters with the extracted data features. To optimize the model's initial parameters, the projection covariance matrix adaptive evolution strategy (P-CMA-ES) algorithm is employed. Finally, a comprehensive case study is designed to verify the accuracy and effectiveness of the proposed method. The outcomes of the case study indicate a discernible enhancement in the accuracy of WSN node fault diagnosis when compared to the traditional BRB method.
Construction of a high-density genetic linkage map and QTL mapping of growth and cold tolerance traits in Takifugu fasciatus
Authors: Zhang Ying , Li Jie , Chu Peng , Shang RuHua , Yin Shaowu , Wang Tao 
Published: August 2023

Abstract
Takifugu fasciatus is an aquaculture species with high economic value. In recent years, problems such as environmental pollution and inbreeding have caused a serious decline of T. fasciatus germplasm resources. This study, a high-density genetic linkage map was constructed by whole-genome resequencing. The map consists of 4891 bin markers distributed across 22 linkage groups (LG), with a total genetic coverage of 2381.353 cM and a mean density of 0.535 cM. QTL (quantitative trait locus) localization analysis showed that a total of 19 QTL associated with growth traits of T. fasciatus were identified in the genome-wide significance threshold range, distributed on 11 LGs. In addition, 11 QTLs associated with cold tolerance traits were identified, each scattered on a different LG. Further, we used QTL localization analysis to screen out three candidate genes (IGF1, IGF2, ADGRB) related to growth in T. fasciatus. Meanwhile, we screened three candidate genes (HSP90, HMGB1, HMGB1) related to cold tolerance of T. fasciatus. Our study can provide a theoretical basis for the selection and breeding of cold-tolerant or fast-growth T. fasciatus.
Exploring the steps of learning: Computational modeling of initiatory-actions among individuals with Attention-Deficit/Hyperactivity Disorder
Authors: Katabi Gili , Shahar Nitzan 
Published: August 2023

Abstract
ADHD is characterized by a difficulty to act in a goal-directed manner. While most environments require a sequence of actions for goal attainment, ADHD was never studied in the context of value-based sequence learning. Here, we made use of current advancements in hierarchical reinforcement-learning algorithms to track the internal value and choice policy of individuals with ADHD performing a three-stage sequence learning task. Specifically, 54 participants (28 ADHD, 26 controls) completed a value-based reinforcement-learning task that allowed us to estimate internal action values for each trial and stage using computational modeling. We found attenuated sensitivity to action values in ADHD compared to controls, both in choice and reaction-time variability estimates. Remarkably, this was found only for first stage actions (i.e., initiatory actions), while for action performed just before outcome delivery the two groups were strikingly indistinguishable. These results suggest a difficulty in following value estimation for initiatory actions in ADHD.
Analysis of Differential Metabolites in Serum Metabolomics of Patients with Aortic Dissection
Authors: Gong Yun , Li Tangzhiming , Liu Qiyun , Wang Xiaoyu , Deng Zixian , Liu Huadong , Yu Biao , Cheng Lixin 
Published: August 2023

Abstract

Background
Pathogenesis and diagnostic biomarkers of aortic dissection (AD) can be classified by analysis of the serum differential metabolites. Analysis of differential metabolites in serum provides new methods for exploring the early diagnosis and treatment of aortic dissection
Objectives
This study examined affected metabolic pathways to assess the diagnostic value of metabolomics biomarkers in clients with AD.
Method
The serum from 30 patients with AD and 30 healthy people was collected. The most diagnostic metabolite markers were determined using metabolomic analysis and related metabolic pathways were explored.
Results
A total of 71 differential metabolites were identified. The altered metabolic pathways included reduced phospholipid catabolism and four different metabolites considered of most diagnostic value including N2-gamma-glutamylglutamine, PC(phocholines) (20:4(5Z,8Z,11Z,14Z)/15:0), propionyl carnitine, and taurine. These four predictive metabolic biomarkers accurately classified AD patient and healthy control (HC) samples with an area under the curve (AUC) of 0.9875. Based on the value of the four different metabolites, a formula was created to calculate the risk of aortic dissection. Risk score = N2-gamma-glutamylglutamine × -0.684 ་ PC(20:4(5Z,8Z,11Z,14Z)/15:0) × 0.427 ་ propionyl carnitine × 0.523 ་ taurine × -1.242. An additional metabolic pathways model related to aortic dissection was explored.
Conclusion
Metabolomics can help to explore the metabolic disorders of AD and aid a further search for potential metabolic biomarkers.