bluuebunny/crossref_metadata_2025_split huggingface dataset:
The impact of Grey Heron (Ardea cinerea L.) colony on soil biogeochemistry and vegetation: a natural long-term in situ experiment in a planted pine forest
Authors: Bogachev Mikhail I. , Tishin Denis V. , Gafurov Artur M. , Gareev Bulat I. , Imaev Rasul G. , Kaplun Dmitrii I. , Markelova Maria I. , Pyko Nikita S. , Pyko Svetlana A. , Romanova Valeria A. , Safonova Anastasiia N. , Sinitca Aleksandr M. , Usmanov Bulat M. , Kayumov Airat R. 
Published: June 2023

Increased anthropogenic pressure including intensification of agricultural activities leads to long-term decline of natural biotopes, with planted forests often considered as promising compensatory response, although reduced biodiversity and ecosystem stability represent their common drawbacks. Here we present a complex investigation of the impact of a large Grey Heron (Ardea cinerea L.) colony on soil biogeochemistry and vegetation in a planted Scots pine forest representing a natural in situ experiment on an engineered ecosystem. After settling around 2006, the colony expanded for 15 years, leading to the intensive deposition of nutrients with feces, food remains and feather thereby considerably altering the local soil biogeochemistry. Thus, lower pH levels around 4.5, 10- and 2-fold higher concentrations of phosphorous and nitrogen, as well as 1.2-fold discrepancies in K, Li, Mn, Zn and Co., respectively, compared to the surrounding control forest area could be observed. Unaltered total organic carbon (Corg) suggests repressed vegetation, as also reflected in the vegetation indices obtained by remote sensing. Moreover, reduced soil microbial diversity with considerable alternations in the relative abundance of Proteobacteria, Firmicutes, Acidobacteriota, Actinobacteriota, Verrucomicrobiota, Gemmatimonadota, Chujaibacter, Rhodanobacter, and Bacillus has been detected. The above alterations to the ecosystem also affected climate stress resilience of the trees indicated by their limited recovery from the major 2010 drought stress, in marked contrast to the surrounding forest (p = 3∙10−5). The complex interplay between geographical, geochemical, microbiological and dendrological characteristics, as well as their manifestation in the vegetation indices is explicitly reflected in the Bayesian network model. Using the Bayesian inference approach, we have confirmed the predictability of biodiversity patterns and trees growth dynamics given the concentrations of keynote soil biogeochemical alternations with correlations R &gt; 0.8 between observations and predictions, indicating the capability of risk assessment that could be further employed for an informed forest management.
Knowledge of fertility and perception of fertility treatment among adults with sickle cell disease (KNOW FERTILITY)
Authors: Carrithers Bria , Raja Maidah , Gemmill Alison , Cayton Vaught Kamaria C. , Christianson Mindy S. , Lanzkron Sophie , Pecker Lydia H. 
Published: June 2023

IntroductionThis study assessed fertility knowledge in adults with sickle cell disease using the Cardiff Fertility Knowledge Scale and Fertility Treatment Perception Survey and compared knowledge scores in respondents with sickle cell disease to previously reported unaffected cohorts.MethodsThis cross-sectional study surveyed adults over age 18 with sickle cell disease at an adult sickle cell disease center using a 35-question survey addressing infertility risk factor knowledge and perceptions of fertility treatment. Analyses included summary statistics for continuous and categorical variables, univariate linear regression, and Mann-Whitney U tests for group comparisons of Fertility Knowledge Scale scores. Fertility Treatment Perception Survey scores were measured by medians of the two positive statements and four negative statements to generate separate positive and negative treatment belief scores. Statistical significance was set at p &lt; 0.05 for all analyses.ResultsNinety-two respondents (71 female, 21 male) with median age of 32 years (IQR: 25.0, 42.5) completed the survey between October 2020-May 2021. Sixty-five percent of respondents reported taking sickle cell disease treatment and 18% reported refusing at least one sickle cell disease treatment due to fertility concerns. The mean Fertility Knowledge Score was 49% (SD: 5.2), lower than reported in an international cohort (57% vs. 49%, p = 0.001), and higher than in a cohort of reproductive-aged Black women in the USA (49% vs. 38%, p = 0.001). Less than 50% of respondents correctly identified common infertility risk factors including sexually transmitted infections, advanced age, and obesity. Mean positive fertility perception score was 3 (IQR 3, 4), and negative fertility perception score was 3.5 (IQR 3, 4). Factors associated with agreement with negative fertility perception statements included: trying to conceive, refusing sickle cell disease treatment, and undergoing fertility treatment.DiscussionOpportunities exist to improve knowledge of infertility risk factors among adults with sickle cell disease. This study raises the possibility that nearly one in five adults with sickle cell disease refuse SCD treatment or cure due to infertility concerns. Education about common infertility risks factors needs to be addressed alongside disease- and treatment- associated fertility risks.
Increased plasma level of terminal complement complex in AMD patients: potential functional consequences for RPE cells
Authors: Busch Catharina , Rau Saskia , Sekulic Andjela , Perie Luce , Huber Christian , Gehrke Miranda , Joussen Antonia M. , Zipfel Peter F. , Wildner Gerhild , Skerka Christine , Strauß Olaf 
Published: June 2023

PurposePolymorphisms in complement genes are risk-associated for age-related macular degeneration (AMD). Functional analysis revealed a common deficiency to control the alternative complement pathway by risk-associated gene polymorphisms. Thus, we investigated the levels of terminal complement complex (TCC) in the plasma of wet AMD patients with defined genotypes and the impact of the complement activation of their plasma on second-messenger signaling, gene expression, and cytokine/chemokine secretion in retinal pigment epithelium (RPE) cells.DesignCollection of plasma from patients with wet AMD (n = 87: 62% female and 38% male; median age 77 years) and controls (n = 86: 39% female and 61% male; median age 58 years), grouped for risk factor smoking and genetic risk alleles CFH 402HH and ARMS2 rs3750846, determination of TCC levels in the plasma, in vitro analysis on RPE function during exposure to patients’ or control plasma as a complement source.MethodsGenotyping, measurement of TCC concentrations, ARPE-19 cell culture, Ca2+ imaging, gene expression by qPCR, secretion by multiplex bead analysis of cell culture supernatants.Main outcome measuresTCC concentration in plasma, intracellular free Ca2+, relative mRNA levels, cytokine secretion.ResultsTCC levels in the plasma of AMD patients were five times higher than in non-AMD controls but did not differ in plasma from carriers of the two risk alleles. Complement-evoked Ca2+ elevations in RPE cells differed between patients and controls with a significant correlation between TCC levels and peak amplitudes. Comparing the Ca2+ signals, only between the plasma of smokers and non-smokers, as well as heterozygous (CFH 402YH) and CFH 402HH patients, revealed differences in the late phase. Pre-stimulation with complement patients’ plasma led to sensitization for complement reactions by RPE cells. Gene expression for surface molecules protective against TCC and pro-inflammatory cytokines increased after exposure to patients’ plasma. Patients’ plasma stimulated the secretion of pro-inflammatory cytokines in the RPE.ConclusionTCC levels were higher in AMD patients but did not depend on genetic risk factors. The Ca2+ responses to patients’ plasma as second-messenger represent a shift of RPE cells to a pro-inflammatory phenotype and protection against TCC. We conclude a substantial role of high TCC plasma levels in AMD pathology.
A novel predictive model for the recurrence of pediatric alopecia areata by bioinformatics analysis and a single-center prospective study
Authors: Zheng Yuanquan , Nie Yingli , Lu Jingjing , Yi Hong , Fu Guili 
Published: June 2023

BackgroundAlopecia areata (AA) is a disease featured by recurrent, non-scarring hair loss with a variety of clinical manifestations. The outcome of AA patients varies greatly. When they progress to the subtypes of alopecia totalis (AT) or alopecia universalis (AU), the outcome is unfavorable. Therefore, identifying clinically available biomarkers that predict the risk of AA recurrence could improve the prognosis for AA patients.MethodsIn this study, we conducted weighted gene co-expression network analysis (WGCNA) and functional annotation analysis to identify key genes that correlated to the severity of AA. Then, 80 AA children were enrolled at the Department of Dermatology, Wuhan Children’s Hospital between January 2020 to December 2020. Clinical information and serum samples were collected before and after treatment. And the serum level of proteins coded by key genes were quantitatively detected by ELISA. Moreover, 40 serum samples of healthy children from the Department of Health Care, Wuhan Children’s Hospital were used for healthy control.ResultsWe identified four key genes that significantly increased (CD8A, PRF1, and XCL1) or decreased (BMP2) in AA tissues, especially in the subtypes of AT and AU. Then, the serum levels of these markers in different groups of AA patients were detected to validate the results of bioinformatics analysis. Similarly, the serum levels of these markers were found remarkedly correlated with the Severity of Alopecia Tool (SALT) score. Finally, a prediction model that combined multiple markers was established by conducting a logistic regression analysis.ConclusionIn the present study, we construct a novel model based on serum levels of BMP2, CD8A, PRF1, and XCL1, which served as a potential non-invasive prognostic biomarker for forecasting the recurrence of AA patients with high accuracy.
Processing speed and memory test performance are associated with different brain region volumes in Veterans and others with progressive multiple sclerosis
Authors: Spain Rebecca I. , Hildebrand Andrea , Waslo Carin S. , Rooney William D. , Emmons Joshua , Schwartz Daniel L. , Freedman Mark S. , Paz Soldan M. Mateo , Repovic Pavle , Solomon Andrew J. , Rinker John , Wallin Mitchell , Haselkorn Jodie K. , Stuve Olaf , Gross Robert H. , Turner Aaron P. 
Published: June 2023

BackgroundCognitive dysfunction and brain atrophy are both common in progressive multiple sclerosis (MS) but are seldom examined comprehensively in clinical trials. Antioxidant treatment may affect the neurodegeneration characteristic of progressive MS and slow its symptomatic and radiographic correlates.ObjectivesThis study aims to evaluate cross-sectional associations between cognitive battery components of the Brief International Cognitive Assessment for Multiple Sclerosis with whole and segmented brain volumes and to determine if associations differ between secondary progressive (SPMS) and primary progressive (PPMS) MS subtypes.DesignThe study was based on a baseline analysis from a multi-site randomized controlled trial of the antioxidant lipoic acid in veterans and other people with progressive MS (NCT03161028).MethodsCognitive batteries were conducted by trained research personnel. MRIs were processed at a central processing site for maximum harmonization. Semi-partial Pearson's adjustments evaluated associations between cognitive tests and MRI volumes. Regression analyses evaluated differences in association patterns between SPMS and PPMS cohorts.ResultsOf the 114 participants, 70% had SPMS. Veterans with MS made up 26% (n = 30) of the total sample and 73% had SPMS. Participants had a mean age of 59.2 and sd 8.5 years, and 54% of them were women, had a disease duration of 22.4 (sd 11.3) years, and had a median Expanded Disability Status Scale of 6.0 (with an interquartile range of 4.0–6.0, moderate disability). The Symbol Digit Modalities Test (processing speed) correlated with whole brain volume (R = 0.29, p = 0.01) and total white matter volume (R = 0.33, p &lt; 0.01). Both the California Verbal Learning Test (verbal memory) and Brief Visuospatial Memory Test-Revised (visual memory) correlated with mean cortical thickness (R = 0.27, p = 0.02 and R = 0.35, p &lt; 0.01, respectively). Correlation patterns were similar in subgroup analyses.ConclusionBrain volumes showed differing patterns of correlation across cognitive tasks in progressive MS. Similar results between SPMS and PPMS cohorts suggest combining progressive MS subtypes in studies involving cognition and brain atrophy in these populations. Longitudinal assessment will determine the therapeutic effects of lipoic acid on cognitive tasks, brain atrophy, and their associations.
Ultrasound radiomics nomogram for predicting large-number cervical lymph node metastasis in papillary thyroid carcinoma
Authors: Zhang Meiwu , Zhang Yan , Wei Huilin , Yang Liu , Liu Rui , Zhang Baisong , Lyu Shuyi 
Published: June 2023

PurposeTo evaluate the value of preoperative ultrasound (US) radiomics nomogram of primary papillary thyroid carcinoma (PTC) for predicting large-number cervical lymph node metastasis (CLNM).Materials and methodsA retrospective study was conducted to collect the clinical and ultrasonic data of primary PTC. 645 patients were randomly divided into training and testing datasets according to the proportion of 7:3. Minimum redundancy-maximum relevance (mRMR) and least absolution shrinkage and selection operator (LASSO) were used to select features and establish radiomics signature. Multivariate logistic regression was used to establish a US radiomics nomogram containing radiomics signature and selected clinical characteristics. The efficiency of the nomogram was evaluated by the receiver operating characteristic (ROC) curve and calibration curve, and the clinical application value was assessed by decision curve analysis (DCA). Testing dataset was used to validate the model.ResultsTG level, tumor size, aspect ratio, and radiomics signature were significantly correlated with large-number CLNM (all P&lt; 0.05). The ROC curve and calibration curve of the US radiomics nomogram showed good predictive efficiency. In the training dataset, the AUC, accuracy, sensitivity, and specificity were 0.935, 0.897, 0.956, and 0.837, respectively, and in the testing dataset, the AUC, accuracy, sensitivity, and specificity were 0.782, 0.910, 0.533 and 0.943 respectively. DCA showed that the nomogram had some clinical benefits in predicting large-number CLNM.ConclusionWe have developed an easy-to-use and non-invasive US radiomics nomogram for predicting large-number CLNM with PTC, which combines radiomics signature and clinical risk factors. The nomogram has good predictive efficiency and potential clinical application value.
Feasibility study of adaptive radiotherapy for esophageal cancer using artificial intelligence autosegmentation based on MR-Linac
Authors: Wang Huadong , Liu Xin , Song Yajun , Yin Peijun , Zou Jingmin , Shi Xihua , Yin Yong , Li Zhenjiang 
Published: June 2023

ObjectiveWe proposed a scheme for automatic patient-specific segmentation in Magnetic Resonance (MR)-guided online adaptive radiotherapy based on daily updated, small-sample deep learning models to address the time-consuming delineation of the region of interest (ROI) in the adapt-to-shape (ATS) workflow. Additionally, we verified its feasibility in adaptive radiation therapy for esophageal cancer (EC).MethodsNine patients with EC who were treated with an MR-Linac were prospectively enrolled. The actual adapt-to-position (ATP) workflow and simulated ATS workflow were performed, the latter of which was embedded with a deep learning autosegmentation (AS) model. The first three treatment fractions of the manual delineations were used as input data to predict the next fraction segmentation, which was modified and then used as training data to update the model daily, forming a cyclic training process. Then, the system was validated in terms of delineation accuracy, time, and dosimetric benefit. Additionally, the air cavity in the esophagus and sternum were added to the ATS workflow (producing ATS+), and the dosimetric variations were assessed.ResultsThe mean AS time was 1.40 [1.10–1.78 min]. The Dice similarity coefficient (DSC) of the AS model gradually approached 1; after four training sessions, the DSCs of all ROIs reached a mean value of 0.9 or more. Furthermore, the planning target volume (PTV) of the ATS plan showed a smaller heterogeneity index than that of the ATP plan. Additionally, V5 and V10 in the lungs and heart were greater in the ATS+ group than in the ATS group.ConclusionThe accuracy and speed of artificial intelligence–based AS in the ATS workflow met the clinical radiation therapy needs of EC. This allowed the ATS workflow to achieve a similar speed to the ATP workflow while maintaining its dosimetric advantage. Fast and precise online ATS treatment ensured an adequate dose to the PTV while reducing the dose to the heart and lungs.
Diagnostic and prognostic role of circRNAs in pancreatic cancer: a meta-analysis
Authors: Zhao Ruihua , Han Zhuo , Zhou Haiting , Xue Yaru , Chen Xiaobing , Cao Xinguang 
Published: June 2023

BackgroundCircular RNAs (circRNAs) are types of endogenous noncoding RNAs produced by selective splicing that are expressed highly specifically in various organisms and tissues and have numerous clinical implications in the regulation of cancer development and progression. Since circRNA is resistant to digestion by ribonucleases and has a long half-life, there is increasing evidence that circRNA can be used as an ideal candidate biomarker for the early diagnosis and prognosis of tumors. In this study, we aimed to reveal the diagnostic and prognostic value of circRNA in human pancreatic cancer (PC).MethodsA systematic search for publications from inception to 22 July 2022 was conducted on Embase, PubMed, Web of Science (WOS), and the Cochrane Library databases. Available studies that correlated circRNA expression in tissue or serum with the clinicopathological, diagnostic, and prognostic values of PC patients were enrolled. Odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were used to evaluate clinical pathological characteristics. Area under the curve (AUC), sensitivity, and specificity were adopted to assess diagnostic value. Hazard ratios (HRs) were utilized to assess disease-free survival (DFS) and overall survival (OS).ResultsThis meta-analysis enrolled 32 eligible studies, including six on diagnosis and 21 on prognosis, which accounted for 2,396 cases from 245 references. For clinical parameters, high expression of carcinogenic circRNA was significantly associated with degree of differentiation (OR = 1.85, 95% CI = 1.47–2.34), TNM stage (OR = 0.46, 95% CI = 0.35–0.62), lymph node metastasis (OR = 0.39, 95% CI = 0.32–0.48), and distant metastasis (OR = 0.26, 95% CI = 0.13–0.51). As for clinical diagnostic utility, circRNA could discriminate patients with pancreatic cancer from controls, with an AUC of 0.86 (95% CI: 0.82–0.88), a relatively high sensitivity of 84%, and a specificity of 80% in tissue. In terms of prognostic significance, carcinogenic circRNA was correlated with poor OS (HR = 2.00, 95% CI: 1.76–2.26) and DFS (HR = 1.96, 95% CI: 1.47–2.62).ConclusionIn summary, this study demonstrated that circRNA may act as a significant diagnostic and prognostic biomarker for pancreatic cancer.
Breast self-examination practice and associated factors among women of reproductive age in southeast Ethiopia
Authors: Hussen Abduljewad , Kumbi Musa , Bedewi Jemal , Lette Abate , Nuriye Shemsu 
Published: June 2023

Regular breast self-examination is the most cost-effective method for early detection of breast cancer, especially in resource-limited countries. However, breast self-examination practice was low among reproductive-age women.ObjectiveThis study aims to evaluate breast self-examination practice and associated factors among women of reproductive age in southeast Ethiopia.MethodsA convergent parallel mixed-methods study design was conducted on 836 women of reproductive age. An interviewer-administered questionnaire was used for the quantitative part of the study and supplemented by focus group discussions. A database was created using Epi-info version 3.5.3, and analyzed using SPSS version 20. Bivariate and multivariable logistic regressions were done to examine the effect of explanatory variables. Variables with p-value &lt;0.05 during multivariable logistic regressions were considered as significantly associated with the dependent variable. Thematic data analysis was carried out for the qualitative study.ResultOut of 836 total participants, only 20.7% had ever heard about breast self-examination practice. Also, only 13.2% of the mothers had practiced breast self-examinations. Even though the majority of the participants during focused group discussions had knowledge about breast cancer screening, most of them stated that breast self-examination was not practiced among them. Maternal age, mother’s level of education, and previous history of breast examination by health professionals were significant predictors of breast self-examination practices.ConclusionThis study reported a low prevalence of breast self-examination practice. Therefore, enhancing women’s education and encouraging breast examination by health professionals are essential to increase the proportion of women performing breast self-examination.
Reduced regional cerebral oxygen saturation increases risk for emergence delirium in pediatric patients
Authors: Li Lijing , Gao Zhengzheng , Zhang Jianmin , Zhang Fuzhou , Wang Fang , Wang Xiaoxue , Li Gan 
Published: June 2023

ObjectivesTo assess whether decreased regional cerebral oxygen saturation (rScO2) is associated with the emergence delirium (ED) following general anesthesia in the pediatric population.MethodsA retrospective observational cohort study was conducted on 113 children (ASA I–III) aged 2–14 years who underwent selective surgery under general anesthesia between 2022-01 and 2022-04. Intraoperatively, the rScO2 was monitored using a cerebral oximeter. The Pediatric Anesthesia Emergence Delirium (PAED) score was used to evaluate the patients for ED.ResultsThe incidence of ED was 31%. Low rScO2 was reported in 41.6% of patients, who had a higher incidence of ED (P &lt; 0.001) than those who did not experience desaturation. Logistic regression analysis revealed that decreased rScO2 was significantly associated with incident ED events [odds ratio (OR), 10.77; 95% confidence interval, 3.31–35.05]. Children under 3 years of age had a higher incidence of ED after rScO2 desaturation during anesthesia compared to older children (OR, 14.17 vs. 4.64).ConclusionIntraoperative rScO2 desaturation significantly increased the incidence of ED following general anesthesia. Monitoring should be enhanced to improve the oxygen balance in vital organs to improve the quality and safety of anesthesia.