bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimizing a Translational Mouse Model of Endometriosis
Authors: Howe Christina Ann , Coté John , Stoos Catherine , Bredehoeft Marley , Hallgren Jodi , Waes Janee Gelineau-van 
Published: August 2023

Abstract

Improved animal models of endometriosis are needed to accurately represent the pathophysiology of human disease and identify new therapeutic targets that do not compromise fertility. Current mouse models of endometriosis that involve ovariohysterectomy and hormone replacement preclude evaluation of fertility. Menstrual phase endometrium includes potentially important immune cells and inflammatory mediators. Our goal was to develop a novel, translationally relevant mouse model of endometriosis by transplanting donor menstrual endometrium into the peritoneal cavity of menstruating, immunocompetent, intact recipients. We tested various paradigms to determine the most effective method for establishing endometriotic lesions. Initially, 4 paradigms were tested to optimize method of induction. To enhance the model further, a novel paradigm implanted discrete menstrual phase endometrium via laparoscopy into menstruating mice. Vaginal cytology was performed to confirm continued estrus cyclicity. Potential lesions were harvested during proestrus and confirmed to be endometriosis based on histopathology. All mice demonstrated normal estrus cyclicity post induction. Incidence of endometriosis and the difference in average number of lesions across groups was compared. The use of laparoscopy to place discrete menstrual phase endometrium was the most effective method of induction of endometriosis. This method was just as effective when used to induce endometriosis in menstruating recipient mice, representing a novel translationally relevant model that can be used to assess immunologic factors and the impact of therapeutic interventions on fertility.
A Comparison of the Disease Occurrence of Cerebrovascular Diseases, Diabetes Mellitus, Hypertensive diseases, and Ischaemic Heart Diseases among Hospitalized Older Adults in Thailand
Authors: Suanrueang Passakorn 
Published: August 2023

Abstract
This observational research analyzed public hospital data from the Thailand Ministry of Public Health website to investigate gender differences in four categories of four non-communicable diseases (NCDs) affecting hospitalized senior Thai populations for 12 years. This study aimed to determine the cumulative effects and analyze the odds ratio (OR) according to ICD-10 cause categories for the data from 2010 to 2021, accounting for 1,327,093 cases in 2010 and 2,275,936 cases in 2021. The findings revealed statistically significant gender differences in four categories of NCDs. Men were found to be more likely than women to have two types of NCDs, as measured by the OR and the ratio per 100,000 population ratios (mean and SD): cerebrovascular diseases (OR = 1.34–1.47, 2,413.33 (163.72)), and ischaemic heart disease (OR = 1.24–1.63, 2,853.46 (154.29)). Conversely, diabetes mellitus (OR = 0.64–0.84, 4,539.97 (431.29)) and hypertensive disorders (OR = 0.82–0.95, 8,712.03 (817.39)) were discovered to have a lower likelihood of ratios related in men compared to women. However, the trend of all four NCDs in men has significantly increased every year: cerebrovascular diseases = 0.0093 year(s) + 1.3391, (R2 0.82, p-value .001); diabetes mellitus = 0.0171 year(s) + 0.6143, (R2 0.97, p-value .001); hypertension = 0.0125 year(s) + 0.8091, (R2 0.96, p-value 0.001); and ischaemic heart disease = 0.0345 year(s) + 1.1884, (R2 0.99, p-value .001). Gender, a crucial biological factor, contributes to variations in the prevalence of illness. As such, it is essential to prioritize the disease risk occurrence and preventive care for men and women separately, with a focus on implementing more detailed screening and detection strategies, as well as tailored interventions.
Evaluation of objective and subjective binocular ocular refraction with looking in type
Authors: Fukushima Megumi , Hirota Masakazu , Yukimori Takafumi , Hayashi Akio , Hirohara Yoko , Saika Makoto , Matsuoka Kumiko 
Published: August 2023

Abstract
Background
This study aimed to compare the consistency of objective and subjective ocular refraction using automated binocular refraction system that performs binocular objective ocular refraction and subjective ocular refraction in a single unit with objective ocular refraction using a conventional autorefractometer and conventional subjective ocular refraction in real space.
Methods
Twenty-eight healthy volunteers (21.2 ± 1.5 years old) participated in this study. The objective ocular refractions in the right eye were measured using an automated binocular refraction system and a conventional autorefractometer. The subjective ocular refractions were measured binocular and monocular conditions using the automated binocular refraction system and monocular condition in real space at 5.0 m. The objective and subjective ocular refractions were converted to spherical equivalents (SEs).
Results
The objective SE was significantly and negatively greater with the automated binocular refraction system (objective − 4.08 ± 2.76 D) than with the conventional autorefractometer (objective − 3.85 ± 2.66 D) (P = 0.002). The subjective SE was significantly and negatively greater with the automated binocular refraction system (− 3.55 ± 2.67 D) than with the real space (− 3.33 ± 2.75 D) (P = 0.002). The subjective SE measured under monocular condition with the automated binocular refraction system (− 3.17 ± 2.57 D) was not significantly different from those in the real space (P = 0.33).
Conclusion
The objective and subjective SEs were significantly and negatively greater using the binocular refraction system than in real space. However, the differences were < 0.25 D. These findings suggest that automated binocular refraction system has sufficient performance for clinical use.
Trial registration number:
UMIN000039665
Structured visual and somatosensory stimuli evoke modality-invariant positional and modality specific velocity dynamics during standing
Authors: Rand Troy J. , Mukherjee Mukul 
Published: August 2023

Abstract
Standing postural control is adaptable to environmental constraints. Center of pressure velocity during support surface translations shows the postural control system utilizes feedforward and feedback control mechanisms to adapt to different environmental structures. It is not clear whether the postural response to structured support surface stimuli is modality specific. This study investigated postural responses to support surface translations and visual surround rotations structured to mimic white, pink, or red noise. Positional entrainment was analyzed using cross correlation and cross sample entropy, and velocity responses were analyzed using mean velocity and detrended fluctuation analysis. Entrainment was strongest for red noise and weakest for white noise. Pink noise was similar to white noise for the support surface translations and red noise for the visual surround rotations. Short-term persistence of the postural response was weakened for support surface translations and strengthened for visual surround rotations, it was also affected by the persistence of the stimulus, with stronger response persistence associated with stronger temporal correlation. Long-term anti-persistence became stronger only in the support surface translations and average velocity increased in both modalities. These data indicate differential effects due to the modality of stimulus, but similar effects due to the structure of the stimulus.
The Evidence-Based Research approach for conducting new studies in physiotherapy research. A meta-research study comparing author guidelines of physiotherapy-related journals to those of leading journals with the highest impact factor
Authors: Rosen Diane , Reiter Nils L. , Vogel Barbara , Prill Robert 
Published: August 2023

Abstract
Background: The Evidence-Based Research (EBR) approach requires authors to base their research on a systematic review of the existing literature. Adhering to this approach prevents the generation of redundant scientific studies, thereby avoiding the deprivation of effective therapies for trial participants and the waste of research funds. To promote the adoption of this approach, scientific medical journals could include the EBR approach in their author guidelines. While this applies to all areas of research, it is particularly relevant to physiotherapy and rehabilitation research, which predominantly involve interventional trials in patients.
Objective: The aim of this study was to determine the extent to which the EBR approach is already being requested by physiotherapy-related scientific medical journals (PTJs). In addition, a comparison was made between PTJs and leading journals (LJs), i.e. scientific medical journals with the highest impact factor in the Science Citation Index Extended (SCIE).
Methods: This meta-research study is based on a systematic examination of the author guidelines of 149 PTJs. The journals were identified and included based on the number of publications with physiotherapy as a keyword. The included author guidelines were analysed for the extent to which they specified that new studies should be justified by a systematic review of the literature. Additionally, they were compared with 14 LJs, which were identified by their impact factor in the SCIE.
Results: In their author guidelines, none of the included PTJs required or recommended the use of a systematic review to justify new trials. Among LJs, four journals (28,57%) required the study justification through a systematic review of the literature.
Conclusion: Neither PTJs nor LJs have adopted the EBR approach in their author guidelines. Further efforts are needed to establish the implementation.
Risks and rates, and the mathematical link between them
Authors: Hanley James 
Published: August 2023

Abstract
The risk over a given time span can be calculated as the exponentiated value of the negative of the integral of the incidence density function (or hazard rate function) over that time span. This relationship is widely used but, in the few instances where textbooks have presented it, the derivations of it tend to be purely mathematical. I offer a more intuitive heuristic approach that draws on the conceptualization of a person-year in Edmonds' 1832 definition of the force of mortality, and on the number of replacements in a dynamic population. Similarly I show how the Nelson-Aalen risk estimator can be seen in the context of this historical conceptualization of a person-year, scaled to the experience of a dynamic population of (constant) size 1.
Studies on novel biomarkers of myocardial dysfunction caused by adrenaline through metabolomics
Authors: Xiong Xiaoyu , Li Hongdong , Wang Sa , Xu Feng 
Published: August 2023

Abstract
Epinephrine is important in resuscitation therapy and improves the return of spontaneous circulation after cardiac arrest, but its safety remains an important concern because high doses of epinephrine may worsen myocardial dysfunction, and the underlying pathophysiology remains unclear. In this study, we found that the addition of 1 mg/kg, 2 mg/kg, and 3 mg/kg exogenous adrenaline could induce myocardial dysfunction in rats, and 1 mg/kg adrenaline was the minimum and optimal dose for establishing a myocardial dysfunction model. Through a nontargeted metabolomics approach, we performed a myocardial dysfunction model under 1 mg/kg and identified several associated metabolic pathways, including pyruvate metabolism, regulation of lipolysis in adipocytes and biosynthesis of unsaturated fatty acids. The metabolites of lactate and fatty acids such as cis-9-palmitoleic acid, eicosapentaenoic acid and 2-methyl-3-hydroxybutyric acid were significantly enriched in the epinephrine-treated group compared to the control group (P < 0.05), while carnitines, including L-palmitoylcarnitine, acetylcarnitine and stearoylcarnitine, were significantly depleted in the serum of the epinephrine-treated rats (P < 0.05). A dose-dependent effect of adrenaline on myocardial dysfunction was observed, and further analysis of these metabolites may indicate their suitability as novel diagnostic biomarkers for myocardial dysfunction caused by adrenaline.
Network Pharmacology Analysis and Experimental Validation to Investigate the Mechanism of Flavan-3-Ols and Aromatic Resin in Anxiety
Authors: Ahmad Ansari Vikhar Danish , Ali Syed Ayaz , Yasar Qazi , Khan Subur W 
Published: August 2023

Abstract
Purpose
Pharmacological mechanism of the major bioactive flavan-3-ols and aromatic resin intended for management of anxiety was investigated using network pharmacology, molecular docking, and in vivo studies.
Methods
Using network pharmacology, the targets for antianxiety activity of two flavan-3-ol components and four aromatic resin components was obtained. Protein-protein interaction and KEGG analysis were used to enrich and investigate key pathways. Molecular docking was carried out to evaluate the targets. Elevated plus maze, open field test, light and dark, actophotometer and hole board test were used to study antianxiety effect.
Results
Compound-Target network analysis revealed that many targets were hit by components. The number of nodes are 332 and number of edges are 491. PPI state that our network has significant interaction with (targets) that are involved in anxiety. The KEGG analysis showed major pathways of flavan-3-ols and aromatic resin in managing anxiety are through controlling the calcium signaling route, cholinergic synapses, dopaminergic synapses, and the estrogen signaling system. Molecular docking study of EGCG showed the most active compound showing highest affinity with binding energy − 7.4 kcal/mol towards D2, -7.8 kcal/mol towards GABA, -9.2 kcal/mol for serotonin. An elevated plus maze investigation found the antianxiety impact of flavan-3-ols and aromatic resin. Flavan-3-ols, and aromatic resin combination significantly (p < 0.05) increase the number of entries in the open arm and the total time spent in the open arm. In the light dark test, there was a highly significant (p < 0.01) increase in the time spent in the light region. The time spent in the center area and the number of entries in the center area highly significant (p < 0.01) increases considerably in the open field test. In the hole board test, the number of head dips was substantially (p < 0.01) higher. The number of photo beam interruptions significantly (p < 0.05) increases in the actophotometer.
Conclusion
The network analysis and animal study demonstrated that Flavan-3-ols and aromatic resin had antianxiety characteristics, indicating the necessity for more research to produce a novel antianxiety medication.
Dual-responsive smart nano-platform targeting peptide modifications synergistically enhances multimodal therapy for liver cancer
Authors: Li Lin-Song , Zhao Xue-Jie , Chen Peng-Wei , Cheng Dong , Liu Bang-Bang , Zhao Mei-Xia 
Published: August 2023

Abstract
The success of clinical therapies against liver cancer is largely determined the accuracy rate of treatment. Herein, we designed a dual-responsive smart nano-platform (HMCuS@DOX@9R-P201) could realize multimodal synergistic therapy. The nano-platform could precisely recognize the protein marker FOXM1c-DBD on the surface of HepG2 cells. The apoptosis rate of HepG2 cells reached 98.51% under near-infrared (NIR) laser irradiation, and the tumor inhibition rate of HMCD9P NPs + L treatment group was as high as 88.2% in mice. Moreover, it could up-regulate the apoptosis-related protein Bak, down-regulate PARP-1, Bcl-2, and Caspase 8, and inhibit the pathway protein FOXM1, thus down-regulating Skp2, up-regulate p27Kip1, and precise induction of multimodal synergistic therapy based on chemotherapy, PTT, and PDT to improve anti-HCC efficacy and reduce side effects. Overall, we report a liver cancer-targeted smart nano-platform with promising anti-liver cancer effects and multiple synergistic therapeutic mechanisms.
Plant growth-promoting bacteria inoculation mitigates drought stress effects in Trifolium pratense L. seedlings
Authors: Ebrahimi Mahdieh 
Published: August 2023

Abstract
Multiple ecological factors have an effect on the capacity of plants to survive, grow, and produce. In the meantime, a significant limitation on plant growth in dry regions is drought. Accordingly, the study's objective was to determine the impacts of plant growth-promoting rhizobacteria (PGPR) on indices of germination, growth, and nutrient absorption in the red clover (Trifolium pratense L.) under drought regimes. Treatments included different levels of drought: 100% (FC = field capacity), 70% (0.7FC), and 40% (0.4FC) as the first factor and inoculation conditions of PGPRs, including non-inoculation (control), Azotobacter vinelandii (AV), Pantoea agglomerans and Pseudomonas putida (PA + PP), and combined application of Azotobacter + Pseudomonas (AV + PA + PP), as the second factor. Results revealed that the maximum and minimum germination percentages were obtained for interactions of AV + 0.7FC and control + 0.7FC, respectively. The combined treatment of AV + PA + PP had less impact on reducing drought stress on the germination of seeds than the single application of bacteria. Maximum values for length of roots, shoots, and plant’s dry weight were obtained for AV + 0.4FC interaction, while the minimum values were recorded for PA + PP + 0.4FC interaction. Additionally, results showed that the treatment of PA + PP had no significant influence on drought stress reduction (p > 0.05). The highest uptake of K was observed for the treatment of AV + FC, and the highest amounts of Fe and Zn were measured for the interaction of PA + PP + 0.7FC. The lowest uptake was recorded for Fe, Zn, and Mn under the combined treatment of AV + PA + PP + 0.4FC. In general, the use of Azotobacter compared to Pseudomonas had a better effect on reducing drought impacts on plant characteristics and increased plant tolerance to drought stress.
Variation of Peripheral Blood-based Biomarkers for Response of Anti-PD-1 Immunotherapy in Lung Cancer
Authors: Yan Feng , Wang Xiaoming , Chen Dayu , Ma Yuyan , Mo Dongping 
Published: August 2023

Abstract
The therapeutic regimen of immune checkpoint inhibitors (ICIs) has been a great achievement of elevated survival results in lung cancer, but only a small proportion of patients can benefit from it in the long term. Therefore, peripheral blood-based biomarkers which could effectively predict the efficacy of anti-PD-1/PD-L1 immunotherapy are crucial for selection of dosage regimen. Here we compared the performance of four machine learning models and chose lightGBM model to screen and analyze the most important biomarkers in peripheral blood. The results show that some peripheral immune cell subsets, serum inflammatory and immunological biomarkers are all valuable predictors of therapeutic responses and progression free survival (PFS). In analysis of immune cell subsets, biomarkers positively associated with benefit to immunotherapy are CD4+CD25+, CD3+CD56+and CD4/CD8, while PD-1+ on T cells plays a negative role. The results of inflammatory markers showed that most of them were correlated with disease progression. Moreover, the high expression of serum immunological biomarkers such as ΔCEA%, CYFRA21-1 and NSE may indicate that ICIs is not effective. Our above results provide some promising peripheral blood biomarkers for immunotherapy of lung cancer, and assist the management and therapeutic designing of patients.
Influence of iron on the structure and strength of the Kovar to stainless steel joints by using Cu-Mn-Co-Fe brazing filler metal
Authors: Maksymova Svitlana , Kovalchuk Petro , Voronov Vitaliy 
Published: August 2023

Abstract
The paper presents the results of X-ray spectral microanalysis of dissimilar brazed joints between Kovar and stainless steel, produced by vacuum brazing with the application of Cu-Mn-Co-Fe brazing filler metals. X-ray microspectral analysis established that a two-phase structure is formed in brazed joints, which consist of two solid solutions: the primary phase is the α-Cu solid solution (based on the Cu-Mn system), which takes up the main zone of the seam. The γ-phase (Fe-Mn) crystallizes in the form of isolated discrete grains. It also contains other components of the brazing filler metal. The influence of iron on the structure and mechanical properties of the brazed joints was investigated. It was found that an increase in iron concentration leads to an increase in the quantity of the γ-phase. It was determined that increasing the iron concentration in the initial brazing filler metal from 1% to 2.5% results in the attainment of maximum strength (600 MPa) in the brazed joints, and the samples fail through the stainless steel.
Identification of Prognosis- and Metastasis-related Enhancer RNAs in Renal Cell Carcinoma
Authors: Liu Yifan , Lu Bingnan , Li Man , Yang Tianyue , Qu Mingyu , Yao Yuntao , Song Xu , Pan Xiuwu , Zhou Wang , Cui Xingang 
Published: August 2023

Abstract
Background:

Renal cell carcinoma (RCC) is one of themost prevalent and lethal malignancies globally. Enhancer RNAs (eRNAs) serve as potential diagnostic and prognostic markers andpotential therapeutic targets for cancer. This study aim to explore the roles of enhancer RNAs (eRNAs) in renal cell carcinoma (RCC) metastasis.

Methods:

RNA-seq data of RCC samples were downloaded from the TCGA database and MET500 database. And normalized eRNA expression profiles were obtained from the eRic database. The differential expressed eRNAs (DEEs) were identified through differential expression analysis. Then, identification of prognosis-related DEEs and construction of the prognosis model were conducted by univariate and multivariate Cox regression analysis. Moreover, CIBERSORT, ssGSEA and GSVA algorithm were utilized. Finally, we established a co-expression regulation network including key prognosis-related DEEs, transcription factors, hallmarks of cancer, immune cells/gene sets, target genes of eRNAs, and protein chips using Pearson correlation analysis. Moreover, CMap analysis, multidimensional external validation, ChIP, and ATAC-seq were conducted to highlight our study’s reliability.

Results:

A total of 353 eRNAs were identified as DEEs. 35 prognosis-related DEEs were selected out and a credible prognosis model was established with the Area Under Curve (AUC) of 0.859. In addition, the expression value of 22 kinds of immune cells and 29 immune gene sets were quantified. Ultimately, a co-expression regulation network which consisted of 4 significant prognosis-related DEEs, 11 differential expressed TFs, 23 significant hallmarks of cancer, 13 types of immune cells, 19 immune gene sets, 22 target genes of eRNAs and 20 protein chips was constructed.

Conclusion:

We illustrated that eRNAs played a significant role in RCC metastasis. Four key prognosis-related DEEs (SHROOM3, PWWP2B, ZSCAN5A and DTNA) were identified as therapeutic targets, metastasis and poor prognosis biomarkers.