bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genome-wide association studies and mapping of ROH identifies candidate genes for growth traits in hybrid rabbits
Authors: Jia Xianbo , Xiao Zhanjun , Li Yuchao , Yang Li , Sun Wenqiang , Wang Jie , Chen Shiyi , Lai Songjia 
Published: March 2024

Abstract

Screening and identifying genes related to growth traits are critically important for the production of meat rabbits. Genome-wide association studies is an effective method for large-scale screening of genetic markers related to target traits. However, the performance of whole-genome association studies in meat rabbits candidate genes associated with the heterosis remains largely unknown. In this study, after quality control and filtering of genotype data, a total of 380 F2 hybrid rabbits (205 male rabbits, 175 female rabbits) with 78579 SNPs and 42018 ROH on the autosome were obtained. The phenotypic values and heterosis of 380 F2 hybrid rabbits at seven growth stages were compared and analyzed. The fitting of the Logistic growth curve model indicated that the rabbit at 49 days of age was a growth inflection point. At this time, the correlation between weight heterosis and ROH was − 0.1267 to 0.07436. Ultimately, we conducted a genome-wide association studies of genotypes and growth trait heterosis after quality control using a mixed linear model. A total of 10 significant SNP-sites were significantly associated with weight at 84 days of age, and 7 candidate genes associated with growth traits were identified in meat rabbits. Additionally, we also uncovering the functional roles and positions of 20 candidate genes associated with economic traits of meat rabbits in high-frequency ROH regions. This study identified potential genes related to meat rabbit growth, development and adaptability in high-frequency ROH regions. These research findings will provide a genomic reference and new insights for the selection and improvement of hybrid meat rabbits, as well as useful genetic markers for breeding important economic traits in domestic rabbits.
Protective Effects of Lemon Leaf and Limonene against Indomethacin-Induced Gastric Ulcers in Rats: An In Vivo and In Silico Study
Authors: Aggul Ahmet Gokhan , Duysak Lale , Gulaboglu Mine , Parlar Seyma Gozde , Kutlu Zerrin , Albayrak Ali Ihsan 
Published: March 2024

Abstract
This paper aims to assess the possible protective effects of the lemon leaves and its main component, limonene, which is known for its active principles and health benefits, against indomethacin-induced oxidative stress in the rats. In this study, the rats were given the ethanol extract from the lemon (Citrus L.) leaf and famotidine, a medication used for treating duodenal and gastric ulcers. The extracts (0.25, 0.5, and 1 g/kg) and/or famotidine (20 mg/kg) were administered to the treated rats via oral gavage at the doses determined for each group. Five minutes later, the rats were orally given a single dose of indomethacin (25 mg/kg). After six hours, the stomach tissues of the rats were collected for biochemical analysis. The treatment significantly improved gastric ulcer conditions by reducing oxidative stress, a key contributor to ulcer formation. Notably, the rats that received the highest dose of the extract exhibited significantly reduced MDA levels, an indicator of oxidative stress, in comparison to the control group. Furthermore, these rats showed a significant increase in SOD activities and GSH levels. The present study also focused on the mechanism underlying the gastroprotective action of limonene, a primary component of Citrus L., against PGE2, Na+/K+-ATPase, and H+/K+-ATPase under in silico conditions. The findings from this study might have significant implications for treating numerous global health disorders due to the antioxidant properties of the ethanol extract from the lemon leaf.
Prevalence and influencing factors of sleep disorders in medical students after the COVID-19 pandemic
Authors: Liu Jiao , Li Baozhu , Zhang Ran , Luo Guoshuai , Sun Daliang 
Published: March 2024

Abstract
Background
The prevalence of sleep disorders among medical students was high during the COVID-19 pandemic. However, there are fewer studies of sleep disorders in medical students after the COVID-19 pandemic. This study aimed to investigate the prevalence and factors influencing sleep disorders among Chinese medical students after COVID-19.
Methods
We enrolled 1194 medical students. The Self-administered scale was used to collect the demographic characteristics. The Self-rating Depression Scale (SDS), the Self-rating Anxiety Scale (SAS), and the Pittsburgh Sleep Quality Index (PSQI) were used to assess subjects' depression, anxiety, and sleep disorders, respectively. The chi-square test and binary logistic regression were used to identify factors that influence sleep disorders. The receiver operating characteristic (ROC) curve was used to assess the predictive value of relevant variables for sleep disorders.
Results
We found that the prevalence of sleep disorders among medical students after COVID-19 was 82.3%. According to logistic regression results, medical students with depression were 1.151 times more likely to have sleep disorders than those without depression (OR = 1.151, 95% CI 1.114 to 1.188). Doctoral students were 1.908 times more likely to have sleep disorders than graduate and undergraduate students (OR = 1.908, 95% CI 1.264 to 2.880). In addition, the area under the ROC curve for depression is 0.689.
Conclusion
The prevalence of sleep disorders among medical students is high after COVID-19. In addition, high academic level and depression are risk factors for sleep disorders. Therefore, medical colleges and administrators should pay more attention to sleep disorders in medical students after the COVID-19 pandemic. Regular assessment of sleep disorders and depression is extremely necessary.
Development and Validation of Stability Indicating HPTLC Method for Simultaneous Estimation of Dapagliflozin and Linagliptin
Authors: Shukla Anchal , Chhalotiya Usmangani K. , Shah Dimal , Tandel Jinal , Kachhiya Heta , Parmar Mital 
Published: March 2024

Abstract
For the treatment of Type 2 Diabetes Mellitus, Dapagliflozin selectively inhibits the sodium-glucose co-transporter-2, while Linagliptin competitively and reversibly inhibits dipeptidyl peptidase-4 in a fixed dose combination (1:1). Dapagliflozin and Linagliptin estimation in bulk and tablet formulation was accomplished by the development and validation of a precise and accurate HPTLC method. The procedure used Toluene: Chloroform: Methanol: Triethylamine (7:2:1:0.2 v/v/v) as the mobile phase and HPTLC aluminum plates pre-coated with silica gel 60 F254 as the stationary phase used. Dapagliflozin and Linagliptin were determined to have Rf values of 0.23 and 0.40 correspondingly. At 224 nm, densitometric analysis was performed in the absorbance mode. For Dapagliflozin and Linagliptin 200–1200 ng/band were the linear ranges in which the procedure produced results. Forced degradation studies were performed on both Dapagliflozin and Linagliptin active pharmaceutical ingredients like acid hydrolysis, base hydrolysis, chemical oxidation, dry heat and photodegradation studies. Dapagliflozin and Linagliptin are susceptible to acid hydrolysis, base hydrolysis, chemical oxidation while both the chemical substances are stable to dry heat and photolytic studies.
A Systematic Review of Assisted and Third-Party Reproduction Guidelines Regarding Management of Donors
Authors: Iranifard Elnaz , Zagami Samira Ebrahimzadeh , Amirian Malihe , Ebrahimipour Hossein , Roudsari Robab Latifnejad 
Published: March 2024

Abstract
Background: Gamete and embryo donors face complex challenges affecting their health and quality of life. Healthcare providers need to access well-structured, evidence-based, and needs-based guidance to care for gamete and embryo donors. Therefore, this systematic review aimed to synthesize current assisted and third-party reproduction guidelines regarding management of donors.
Methods: The databases of ISI, PubMed, and Scopus and websites of organizations related to the assisted reproduction were searched using the keywords of "third party reproduction", "gamete donation", "embryo donation", "guidelines", "committee opinion", and "best practice", without time limit up to July 2023. All the clinical or ethical guidelines and best practice statements regarding management for gamete and embryo donors, written in the English language were included in the study. Quality assessment was carried using AGREE II tool. Included documents were reviewed and extracted data were qualitatively synthesized.
Results: In this systematic review 14 related documents were reviewed of which eight were guidelines, three were practice codes and three were committee opinions. Five documents were developed in the United States, three in Canada, two in the United Kingdom, one in Australia, and one in Australia and New Zealand. Also, two guidelines developed by the European Society of Human Reproduction and Embryology were found. Management provided for donors were classified into four categories including screening, counseling, information provision, and ethical considerations.
Conclusion: In order to inform current practices by developing evidence-based guidelines, it is needed to conduct robust and well-designed research studies to fill the knowledge gap about gamete and embryo donors' needs, psychosocial and long-term effects of donation on donors, their follow-up cares, and ethical aspects of donation.
Investigating the histological findings of persistent fifth aortic arch with interrupted aortic arch, right aortic arch and aberrant left subclavian artery: a case report
Authors: Asagai Seiji , Shinkawa Takeshi , Harada Gen , Shimada Eriko , Yoshizawa Saeko , Inai Kei 
Published: March 2024

Abstract
The persistent fifth aortic arch (PFAA) is a rare disease caused by developmental anomalies associated with aortic coaction (CoA) and an interrupted aortic arch (IAA). It has been reported that the histological findings of the fifth aortic arch differ from those of normal aortic structures. Therefore, histological findings are important in deciding whether PFAA should be resected or used during aortic arch reconstruction. In the present case, the PFAA was resected during aortic arch reconstruction. The treatment strategy for PFAA is discussed based on histological findings.
Can the HALP score, a new prognostic tool, predict the progression of pseudoexfoliation patients to pseudoexfoliation glaucoma?
Authors: Yagci Betul Akbulut , Erdal Huseyin 
Published: March 2024

Abstract

Purpose
The present study aims to investigate the prognostic role of hemoglobin, albumin, lymphocyte, and platelet (HALP) score in pseudoexfoliation syndrome (PEXS) patients and its relationship with pseudoexfoliation glaucoma (PEXG) progression.
Methods
This retrospective study included 58 PEXS patients and 61 PEXG patients. Demographic information, hemogram, and biochemical parameters of all groups were collected from the hospital automation system. The neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR), systemic immuno-inflammatory index (SII), systemic inflammatory response index (SIRI), pan-immune inflammation value (PIV), and HALP were calculated to both groups. The results were compared among the groups.
Results
In this study, there were 119 participants in total, 58 patients with PEXS with an average age of 71.3 ± 8.9 years, and 61 patients with PEXG with an average age of 71.3 ± 8.9 years (p = 0.15). In paired comparisons, it was observed that the NLR, PLR, SII, SIRI, and PIV indices of the groups were not found statistically significant (p > 0.001). The HALP score value was lower in the PEXG group than the PEXS (4.73 ± 1.99 and 6.3 ± 2.63, respectively) (p < 0.001). The AUC of the HALP score for PEXS and PEXG was 0.696. The optimal cut-off value of HALP to predict PEXG was ≤ 4.23, with 85% sensitivity and 51.7% specificity (95% confidence interval 0,605-0,777, p < 0.01).
Conclusion
It was found that a lower HALP score was significantly associated with PEXG patients and could be an independent prognostic factor. Although this score alone is not sufficient, this study is important in that it may predict the possibility of developing PEXG.
Identifying Potential Drug Targets for the Treatment of Ulcerative Colitis Using Mendelian Randomization Combined with Co-localization Analysis
Authors: Zhang Tianyu 
Published: March 2024

Abstract
Purpose
To identify potential therapeutic targets for ulcerative colitis by integrating Mendelian randomization (MR) and Bayesian colocalization analysis to pinpoint gene expression quantitative trait loci (eQTLs) associated with ulcerative colitis risk.
Methods
Leveraging peripheral blood eQTL data from the eQTLGen Consortium and ulcerative colitis genome-wide association study (GWAS) summary statistics, we performed MR analysis to identify eQTLs significantly associated with ulcerative colitis risk in the discovery and replication datasets. The identified eQTLs were then subjected to Bayesian colocalization to evaluate whether the same single nucleotide polymorphisms (SNPs) influence both gene expression and disease risk. Finally, the Drug Gene Interaction database (DGIdb) was queried for known drugs targeting the associated genes.
Results
MR analysis identified 15 potentially positive eQTLs, of which 7 (CD300C, GPX1, LAMC3, RORC, SIGLEC6, SLC22A5, and WFIKKN1) were replicated to be associated with ulcerative colitis risk (Correction P-value < 0.005). Colocalization analysis provided strong evidence that the SNPs driving these 7 eQTLs also impact disease susceptibility. While RORC, SLC22A5, and LAMC3 have drugs approved for other indications, CD300C, GPX1, SIGLEC6, and WFIKKN1 represent potential novel drug targets.
Conclusions
By integrating MR and colocalization, this study pinpointed 7 ulcerative colitis-associated genes from the genome, including 3 with existing drugs and 4 potential new targets (CD300C, GPX1, SIGLEC6, and WFIKKN1), providing important leads for drug development in ulcerative colitis.
Examining the effect of verbal feedback vs. real-time software feedback on kinetic and kinematic metrics of the Nordic hamstring exercise
Authors: SCONCE Emma , HELLER Ben , MADEN-WILKINSON Tom , HAMILTON Nick 
Published: March 2024

Abstract

Purpose
A wealth of research exists for the Nordic hamstring exercise, and several devices provide real-time feedback on torque profiling. However, none currently offer feedback on technique execution. This study investigated the effect of verbal and software feedback on Nordic exercise kinetic and kinematic metrics.
Methods
24 recreational participants completed 3 bilateral repetitions per feedback condition on a hamstring testing device. Hamstring strain injury risk metrics (peak torque, break-torque angle, bilateral limb percentage difference) and exercise technique metrics (relative trunk-to-thigh angle, angular velocity of the knee) were recorded for analysis.
Results
Feedback type significantly affected eccentric knee flexor peak torque, by a mean decrease of 7.1 Nm when performed with software feedback (Cohen’s d = 0.238, p < 0.01). Altering feedback had no significant effect on bilateral limb difference percentage (Cohen’s d = 0.068, p = 0.578) or break-torque angle (Cohen’s d = 0.159, p = 0.115). Software feedback significantly decreased the mean of both the relative-trunk-to-thigh angle at peak torque by 5.7° (Cohen’s d = 0.514, p < 0.01) and the angular velocity of the knee at peak torque by 8.7 deg·s-1.
Conclusions
An integrated software feedback system significantly improves acute Nordic exercise technique, benefitting individuals initially exhibiting poorer technique the most.
Diabetic Foot Ulcers: A MicroRNA-Centric Approach
Authors: Andrade Luís Jesuino de Oliveira , de Oliveira Luís Matos , David Tulio Matos , de Oliveira Gabriela Correia Matos 
Published: March 2024

Abstract
Background
Vasculopathy associated with diabetic neuropathy is a significant risk factor for the development of diabetic foot ulcers (DFUs). DFUs are a severe complication that occurs in approximately 15% of diabetic individuals, potentially requiring hospitalization and amputation for treatment.
Objective
To design in silico the molecular structures of microRNAs (miRNAs) overexpressed in diabetic foot ulcer healing.
Methods
We conducted a comprehensive search for the nucleotide sequences of eight miRNAs overexpressed in DFUs. Subsequently, the molecular structures of the following miRNAs were designed in silico: miRNA-146a, miRNA-155, miRNA-132, miRNA-191, miRNA-21, miRNA-203a, miRNA-203b, and miRNA-210. Nucleotide sequences were retrieved from GenBank, the National Center for Biotechnology Information's genetic sequence database. The acquired sequences were aligned using Clustal W multiple alignment algorithms. RNAstructure, an automated miRNA structure modeling server, was employed for the in silico modeling of the structures.
Results
We performed a search for the nucleotide sequences and designed the molecular structures of the following miRNAs overexpressed in diabetic foot ulcer healing: miRNA-146a, miRNA-155, miRNA-132, miRNA-191, miRNA-21, miRNA-203a, miRNA-203b, and miRNA-210. We generated a tutorial on the molecular models of these eight miRNAs overexpressed in the diabetic foot, based on in silico projections of their molecular structures.
Conclusion
This study demonstrates the in silico design of secondary structures for a selection of eight miRNAs overexpressed in diabetic foot ulcer healing, utilizing techniques from computational biology.
Construct Validity, Criterion Validity, and Internal Consistency of GOT-Cog®, a Novel Occupational Therapy Cognitive Screen
Authors: Meise MS OTR/L Emily , Corbett BA John , Meyer MS OTR/L Amanda , Grevelding MSPT Pete , Hrdlicka Henry C. 
Published: March 2024

Abstract
Importance
No single cognitive screen adequately captures all cognitive domains that are important for inpatient occupational therapy treatment planning.
Objective
To assess the construct validity of the Gaylord Occupational Therapy Cognitive (GOT-Cog©) screen, a novel cognitive screen developed to better inform inpatient occupational therapy treatment planning.
Design:
Randomized cross-over controlled study design using the St. Louis University Mental Status (SLUMS) exam as a comparator.
Setting
Long-term acute care hospital.
Participants
Participants were recruited from inpatients admitted to Gaylord Hospital who were prescribed occupational therapy services.
Intervention:
During participants’ initial occupational therapy evaluation, either the SLUMS exam or the GOT-Cog screen was randomly delivered; the screen not delivered on admission was delivered 22–26 hours later by the same or different clinician.
Outcomes and Measures
Primary outcome measures were GOT-Cog and SLUMS total scores, individual item scores, and domain scores.
Results
129 Participants were approached; 98 participants yielded sufficient data for analysis. Total GOT-Cog and SLUMS scores were shown to positively correlate (p < 0.0001). All shared domains between GOT-Cog and SLUMS significantly correlated (p ≤ 0.0155); similarly all unique domains showed significant correlations to both GOT-Cog and SLUMS total score (p ≤ 0.0194). No ordering effects were observed (p ≥ 0.8081), and despite containing 11 more items, GOT-Cog only took 6 minutes longer to complete (10 versus 16 minutes, p < 0.0001). GOT-Cog and SLUMS were found to share a similar internal consistency.
Conclusions and Relevance:
Together, this work indicates GOT-Cog has overall excellent construct and criterion validity. Going forward, we will test the rater reliability and responsiveness of GOT-Cog.
Oil prices and Exchange Rates Causality: New Evidences from Decomposed Oil Prices Shocks and Parametric Quantile Analysis
Authors: Joseph ATEBA , Dieudonne EWONDO , Armando ABEGA Daniel 
Published: March 2024

Abstract
In this paper, the researchers reassess the causality between oil prices and exchange rates, by applying the parametric quantile analysis to decomposed oil prices shocks and exchange rates returns data of both low income, emerging and developed oil exporting countries from 1993.11 to 2021.10. Unlike the existing researches, our study outcomes support the causal relationship from exchange rates to oil prices shocks at upper and lower quantiles in developed oil exporting countries; this is also true regarding the bidirectional causality observed in low income and emerging oil exporting countries .These findings imply that, important positive and negative oil shocks cause extremes changes in the exchange rate returns of low income and emerging oil exporting countries and reciprocally. However only extreme fluctuations of exchange rate returns of developed oil exporting countries such as Norway and Canada can cause oil prices variations. The results of non-causality at middle quantiles also suggest that the monetary authorities in both developing and developed oil exporting countries resist the exchange rates adjustments when oil prices fluctuations are significant. From these results we recommend sound policies in order to mitigate internal and external shocks during crisis, structural reforms that support diversification of energy production and reduce crude oil dependence, as well as the whole economy diversification mostly for developing countries and finally, multiple exchange rates to diversify portfolio and hedge the risks associated to oil prices fluctuations for investors.
Conditional Inference for Generalized Life Model Parameters
Authors: Maswadah M. 
Published: March 2024

Abstract
The conditional inference has been applied to distributions belonging to the location-scale family or those that can be converted to this family. In this paper, we will give a new application for this approach to cover the situation where the distributions do not belong to the location-scale family by converting them to a generalized life model with scale and shape parameters. For measuring the performance of this approach compared to unconditional inference, the coverage rates and the average lengths of the intervals have been obtained via Monte Carlo simulations. The simulation results indicated that the conditional intervals possess good statistical properties and can perform quite well even when the sample size is extremely small compared to the classical intervals based on the asymptotic maximum likelihood estimates (AMLEs).Finally, a numerical example is given to illustrate the confidence intervals developed in this paper.