bluuebunny/crossref_metadata_2025_split huggingface dataset:
Genital Microbiota of Women From Six Ethnic Groups With and Without Human Papillomavirus Infection in Shangri-La, China
Authors: Liu Chen-Jian , Xiao Wen-Yu , Fang Jun-Feng , Dong Yong-Hong , Ye Ke-Fan , He Meng-Ping , Wang Yan-Song , Li Xiao , Zhao Zhi-Min , Yuan Tao , Zhao Ting , He Chun-Yan , Zhang Shu-Ming , Yang En , Wu Xiao-Mei , Li Xiao-Ran 
Published: July 2022

BackgroundA diversity of microorganisms is associated with human health and exists in a state of dynamic equilibrium. This diversity has direct implications for the assessment of susceptibility to infectious diseases, especially human papillomavirus (HPV) infection.MethodsHere, we investigated the relationships between HPV infection and vaginal, cervical, and gut microbiota composition and assessed the levels of genital immune mediators. We selected a multiethnic area in Yunnan Province, China, to collect samples from healthy women of childbearing age. A total of 82 healthy women of childbearing age were included in this study. Vaginal, cervical, and rectal swabs were collected to analyze the microbial community, and cytokines were analyzed in some samples.FindingsDifferent proportions and types of HPV infection were detected in cervical (44%), vaginal (18%), and rectal (18%) swabs. HPV detected in cervical swabs was generally a high-risk type, while low-risk HPV types were primarily detected in vaginal and rectal swabs. There were some differences in this proportion as well as in the microbial community composition among different ethnic groups. Rectal samples exhibited the highest diversity index, while vaginal samples displayed the lowest diversity index. Lactobacillus dominated most of the vaginal samples, was decreased in HPV-positive samples, and differed among different ethnic groups. However, the sequence proportion of Lactobacillus in the cervix exhibited the opposite trend in those affected by HPV infection. The dynamic balance between the potential pathogens Gardnerella and Lactobacillus determines the health of the female genital system.InterpretationThis study constitutes the first step toward personalized medicine for women’s reproductive health, wherein differences between the genital microbiomes of individuals would be considered in risk assessment and for subsequent disease diagnosis and treatment.
Venous Leg Compression for Tissue Decongestion in Patients With Worsening Congestive Heart Failure
Authors: Civera Jose , Miñana Gema , de la Espriella Rafael , Santas Enrique , Sastre Clara , Mollar Anna , Conesa Adriana , Martínez Ana , Núñez Eduardo , Bayés-Genís Antoni , Núñez Julio 
Published: July 2022

AimsVenous leg compression (VLC) with elastic bandages has been proposed as a potentially useful strategy for decreasing tissue congestion. We aimed to evaluate the effect of VLC on short-term changes on intravascular refill, assessed by inferior vena cava (IVC) diameter in patients with worsening heart failure (WHF) requiring parenteral furosemide. Additionally, we sought to evaluate whether early changes in IVC were related to short-term decongestion.MethodsThis is a prospective study in which we included 20 consecutive ambulatory patients with WHF treated with subcutaneous furosemide and VLC for at least 72 h. The endpoints were (a) short-term changes in IVC, (b) the association between decongestion and 3-h IVC changes following VLC. Changes in continuous endpoints and their longitudinal trajectories were estimated with linear mixed regression models. All analyses were adjusted for multiple comparisons.ResultsFollowing administration of subcutaneous furosemide and VLC, we found a significant increase in 3-h IVC diameter (ΔIVC = 1.6 mm, CI 95%: 0.7–2.5; p &lt; 0.001), with a greater increase in those with baseline IVC≤21 mm (2.4 vs. 0.8 mm; p &lt; 0.001). 3-h intravascular refill (increase in IVC≥2 mm) was associated with greater decongestion (natriuresis, weight, peripheral edemas, and dyspnea) in those with baseline IVC≤21 mm but not when IVC&gt;21 mm (p &lt; 0.05 for all comparisons).ConclusionsIn this cohort of patients with congestive WHF treated with subcutaneous furosemide and VLC, we found a greater increase in short-term IVC in those with IVC ≤21 mm at baseline. In this subset of patients, a 3-h increase in IVC≥2 mm was associated with greater short-term decongestion.
Blood Cells and Venous Thromboembolism Risk: A Two-Sample Mendelian Randomization Study
Authors: He Jiahao , Jiang Qian , Yao Yiting , Shen Yi , Li Juan , Yang Jianuo , Ma Ran , Zhang Nuofu , Liu Chunli 
Published: July 2022

BackgroundPrevious studies have shown that various cell indices are associated with a higher risk of venous thromboembolism (VTE), however, whether these findings reflect a causal relationship remains unclear. Therefore, we performed a two-sample Mendelian randomization (MR) analysis to assess the causal association of various blood cells with VTE risk.Study Design and MethodsSummary statistics of genetic instruments representing cell indices for erythrocytes, leukocytes, and platelets were extracted from genome-wide association studies of European ancestry, by Two-Sample Mendelian Randomization. Inverse variance weighting (IVW) was used as the primary analytical method for MR. Sensitivity analyses were performed to detect horizontal pleiotropy and heterogeneity.ResultsGenetically predicted red blood cell distribution width, mean reticulocyte volume, and mean red blood cell volume were positively associated with VTE, with odds ratio (OR) of 1.002 [CI 1.000–1.003, P = 0.022), 1.003 (CI 1.001–1.004, P = 0.001, respectively)] and 1.001 (CI 1.000–1.002, P = 0.005). Genetically predicted monocyte count was negatively correlated with VTE, with OR = 0.998 (CI 0.996–0.999, P = 0.041).ConclusionGenetically liability to high- red blood cell distribution width, mean reticulocyte volume, mean red blood cell volume, and low monocyte count are associated with the higher risk of VTE. Targeting these factors might be a potential strategy to prevent VTE.
Chronology of Glacial Advances and Deglaciation in the Encierro River Valley (29° Lat. S), Southern Atacama Desert, Based on Geomorphological Mapping and Cosmogenic 10Be Exposure Ages
Authors: Aguilar G. , Riquelme R. , Lohse P. , Cabré A. , García J.-L. 
Published: July 2022

The high mountain segments of the valleys of the southernmost Atacama Desert of Chile present Late Quaternary glacial landforms that developed in already incised valleys. Glacier advances and deglaciation have left a geomorphic imprint in the southernmost Atacama Desert. In this work, the glacial landforms of the Encierro River Valley (29.1°S–69.9°W) have been revisited and new detailed geomorphological mapping is provided. This work also includes new 10Be exposure ages from moraine boulders and one age from an ice-molded bedrock surface. The former glacier of the El Encierro valley extended 16 km down the valley during the last local glacial maximum recorded by a terminal moraine (ENC 1a) with an exposure age of ∼40 ka. Four inboard moraine arcs were deposited upstream in telescopic patterns (ENC 1b–d), whose exposure ages range between ∼25 and ∼33 ka (ENC 1d). Exposure ages between ∼17–24 ka on lateral moraines (ENC 1L) developed during the later ice recession of the ENC 1 drift. Thus, the ice mostly disappeared in the main valley before ∼18 ka, as is also supported by the exposure age obtained from an ice-molded bedrock surface. Seven kilometers up the valley from the ENC 1, the ENC 2a–d moraine arcs correspond to a small ice advance by ∼17–20 ka. The last glacial advance (ENC 2), which occurred after deglaciation of the last local glacial maximum (ENC 1), coincides with the start of the Heinrich Stadial Event 1 (HS1; 18–14.5 ka), which is thought to play a direct role in the last glacial termination in the Andes.
Ultra-Short-Term Power Prediction of a Photovoltaic Power Station Based on the VMD-CEEMDAN-LSTM Model
Authors: Wang Shuaijie , Liu Shu , Guan Xin 
Published: July 2022

The prediction of photovoltaic power generation is helpful to the overall allocation of power planning departments and improves the utilization rate of photovoltaic power generation. Therefore, this study puts forward an ultra-short-term power forecasting model of a photovoltaic power station based on modal decomposition and deep learning. The methodology involved taking the data of a 50 MW photovoltaic power generation system in the Inner Mongolia Autonomous Region as a sample. Furthermore, the weather conditions were classified, and the historical power data were decomposed into multiple VMF subcomponents and residual terms by the VMD method. Then, the residual term was decomposed twice by the CEEMDAN method. All subcomponents were sent to the LSTM network for prediction, and the predicted value of the photovoltaic power station was obtained by superimposing the subcomponent prediction results. ARIMA, SVM, LSTM, and VMD-LSTM models were built to compare the accuracy with the proposed models. The results revealed that the prediction accuracy of a non-combination forecasting model was limited when the weather suddenly changed. The VMD method was used to decompose the residual term twice, which could fully extract the complex data information in the residual term, and when compared with the VMD-LSTM model, the eRMSE, eMAPE, and eTIC of the VMD-CEEMDAN-LSTM model were reduced by 0.104, 16.596, and 0.038, respectively. The second decomposition technology has obvious prediction advantages. The proposed quadratic modal decomposition model effectively improves the precision of ultra-short-term prediction of photovoltaic power plants.
A Predictive Model for the 10-year Overall Survival Status of Patients With Distant Metastases From Differentiated Thyroid Cancer Using XGBoost Algorithm-A Population-Based Analysis
Authors: Jin Shuai , Yang Xing , Zhong Quliang , Liu Xiangmei , Zheng Tao , Zhu Lingyan , Yang Jingyuan 
Published: July 2022

Purpose: To explore clinical and non-clinical characteristics affecting the prognosis of patients with differentiated thyroid cancer with distant metastasis (DTCDM) and establish an accurate overall survival (OS) prognostic model.Patients and methods: Study subjects and related information were obtained from the National Cancer Institute’s surveillance, epidemiology, and results database (SEER). Kaplan‐Meier analysis, log-rank test, and univariate and multivariate Cox analysis were used to screen for factors influencing the OS of patients with DTCDM. Nine variables were introduced to build a machine learning (ML) model, receiver operating characteristic (ROC) was used to evaluate the recognition ability of the model, calibration plots were used to obtain prediction accuracy, and decision curve analysis (DCA) was used to estimate clinical benefit.Results: After applying the inclusion and exclusion criteria, a total of 3,060 patients with DTCDM were included in the survival analysis from 2004 to 2017. A machine learning prediction model was developed with nine variables: age at diagnosis, gender, race, tumor size, histology, regional lymph node metastasis, primary site surgery, radiotherapy, and chemotherapy. After excluding patients who survived &lt;120 months, variables were sub-coded and machine learning was used to model OS prognosis in patients with DTCDM. Patients 6–50 years of age had the highest scores in the model. Other variables with high scores included small tumor size, male sex, and age 51–76. The AUC and calibration curves confirm that the XGBoost model has good performance. DCA shows that our model can be used to support clinical decision-making in a 10-years overall survival model.Conclusion: An artificial intelligence model was constructed using the XGBoost algorithms to predict the 10-years overall survival rate of patients with DTCDM. After model validation and evaluation, the model had good discriminative ability and high clinical value. This model could serve as a clinical tool to help inform treatment decisions for patients with DTCDM.
Construction of High-Density Genetic Map and Identification of a Bruchid Resistance Locus in Mung Bean (Vigna radiata L.)
Authors: Chen Tianxiao , Hu Liangliang , Wang Suhua , Wang Lixia , Cheng Xuzhen , Chen Honglin 
Published: July 2022

Mung bean (Vigna radiata L.) is an economically important grain legume cultivated in Asian countries. High-density genetic linkage is a valuable and effective tool for mapping quantitative trait loci (QTL). In the current study, a high-resolution genetic map containing 4,180 single-nucleotide polymorphisms (SNPs) was assigned to 11 linkage groups (LGs) and spanning 1,751.39 cM in length was constructed for mung bean, and the average distance between adjacent markers was 0.42 cM. Bruchids (Callosobruchus spp.) cause significant damage to and loss of legume seeds. A locus for bruchid resistance was detected. The gene Vradi05g03810, encoding a probable resistance-specific protein, was found to be the most likely key candidate gene in mung beans. A 69-bp sequence deletion was identified in the coding region by comparing the cDNA sequences of bruchid-resistant and bruchid-susceptible lines. This SNP-based high-density linkage map is one of the first to be constructed across the mung bean genome. This map will not only facilitate the genetic mapping of genes or complex loci that control important agronomic traits but also offer a tool for promoting future genetics and comparative genomic studies in Vigna.
Attitudes Toward the Copper IUD in Sweden: A Survey Study
Authors: Wemrell Maria , Gunnarsson Lena 
Published: July 2022

BackgroundWhile the efficacy and safety of the contraceptive copper intrauterine device (IUD) have been affirmed, alongside its importance for the prevention of unintended pregnancies, some studies have pointed to negative attitudes toward the device. In recent years, social media communication about it has included claims about systemic side effects, unsubstantiated by medical authorities. Research from the Swedish context is sparse. This study investigates attitudes toward the copper IUD and any correlations between negative attitudes toward or experiences of the device, and (1) sociodemographic characteristics, (2) the evaluation of the reliability of different sources of information, and (3) trust in healthcare and other societal institutions.MethodsA survey was distributed online to adult women in Sweden (n = 2,000). Aside from descriptive statistics, associations between negative attitudes toward or experiences of the copper IUD and sociodemographic and other variables were calculated using logistic regressions and expressed as odds ratios (ORs) with 95% confidence intervals (95% CIs). Open survey responses (n = 650) were analyzed thematically.ResultsWhile many reported positive attitudes toward and experiences of the IUD, 34.7% of all respondents reported negative attitudes and 45.4% of users reported negative experiences. Negative attitudes were strongly correlated with negative experiences. Negative attitudes and experiences were associated with low income, but no conclusive associations were identified with other socioeconomic variables. Negative attitudes and experiences were associated with lower levels of confidence in and satisfaction with healthcare, as well as lower self-assessed access and ability to assess the origin and reliability of information about the IUD. In open responses, negative comments were prevalent and included references to both common and unestablished perceived side-effects. Respondents pointed to problematic aspects of information and knowledge about the copper IUD and called for improved healthcare communication and updated research.ConclusionHealthcare provider communication about the copper IUD should promote reproductive autonomy and trust by providing clear information about potential side effects and being open to discuss women's experiences and concerns. Further research on copper IUD dissatisfaction and ways in which health professionals do and may best respond to it is needed.
Inflammation in Preeclampsia: Genetic Biomarkers, Mechanisms, and Therapeutic Strategies
Authors: Wang Yue , Li Baoxuan , Zhao Yan 
Published: July 2022

ObjectivePreeclampsia is a common and serious complication of pregnancy, posing a threat to maternal and fetal safety due to the lack of effective biomarkers and treatment strategies. This study aimed to identify potential biomarkers that can be used to predict preeclampsia and identify the molecular mechanisms of preeclampsia pathogenesis and drug prediction at the transcriptome level.MethodsWe analyzed differential expression genes (DEGs) in preeclampsia and non-preeclampsia groups in the GSE75010 dataset, cross-linking with extracted inflammatory response-related genes to obtain differentially expressed inflammation-related genes (DINRGs). Enrichment analysis and protein-protein interaction (PPI) networks were constructed to understand the functions and enrichment pathways. Machine learning models were used to identify key genes associated with preeclampsia and build a nomogram in the training set, which was validated in the validation set. The R package RcisTarget was used to predict transcription factors, and Cytoscape was used to construct miRNA-mRNA pathways, which could identify the molecular mechanisms. Then, we conducted molecular docking of the obtained key genes INHBA (inhibin subunit beta A), OPRK1 (opioid receptor kappa 1), and TPBG (trophoblast glycoprotein), as well as predicted transcription factors with drug molecules. Additionally, the CIBERSORT method explored the differences in immune cell infiltration between preeclampsia and non-preeclampsia samples based on the GSE75010 dataset.ResultsA total of 69 DINRGs associated with preeclampsia patients were screened. INHBA, OPRK1, and TPBG were the key genes based on machine learning models. A nomogram for prediction was further constructed, and the receiver operating curves (ROCs) showed good performance. Based on the transcriptome level of key genes, we proposed that RELA-miR-548K/miR-1206-TPBG may be a potential RNA regulatory pathway regulating the progression of early preeclampsia. Molecular docking suggested the effectiveness of curcumin in the treatment of preeclampsia. Additionally, regulatory T cells (Tregs) and resting mast cells were significantly different between the two groups.ConclusionIn summary, we identified three key inflammation-associated genes, namely INHBA, OPRK1, and TPBG, which can be used as potential genetic biomarkers for preeclampsia prediction and treatment, and established a nomogram as a predictive model. Additionally, we provided insights into the mechanisms of preeclampsia development at the transcriptome level and performed corresponding drug predictions.
Network Meta-Analysis of Perioperative Analgesic Effects of Different Interventions on Postoperative Pain After Arthroscopic Shoulder Surgery Based on Randomized Controlled Trials
Authors: Jiangping Wu , Xiaolin Quan , Han Shu , Zhou Xiaolan , Mao Nie , Zhibo Deng , Ting Gong , Shidong Hu , Xiangwei Li , Xin Yuan , Guoyin Shu 
Published: July 2022

BackgroundShoulder arthroscopic surgery is a common surgical method used in orthopedics. However, severe postoperative pain can significantly limit the early joint movement of patients and adversely affect the impact of the surgery. At present, there is no consistent and effective analgesic scheme for the management of postoperative pain after arthroscopic surgery of the shoulder.PurposeThe aim of this study was to search for the most effective analgesic scheme to control pain in the perioperative period of arthroscopic surgery of the shoulder.Study DesignNetwork meta-analysis.MethodsWe searched 5 different databases (i.e., Medline, PubMed, Embase, Web of Science, and the Cochrane Library) from January 2011 to January 2021 for English literature. Thereafter, we sifted out randomized controlled trials (RCTs), which compared different intervention schemes for pain management after shoulder arthroscopy and selected only 12 h, 24 h, or 48 h after the patient leaves the operating room as an optimal period for administration of analgesic intervention schemes. Only patients with shoulder disease who have undergone arthroscopic shoulder surgery were included in this study. The Cochrane “risk of bias” was used for the quality assessment. Moreover, some additional tests were performed to enhance the credibility of the results.ResultsTwenty-nine RCTs involving 1,885 patients were included in this frequentist network meta-analysis (NMA). These articles mainly were divided into two distinct groups, namely, the nerve block group and the non-nerve block group. Regarding the nerve block group, at postoperative 12 h, the intervention suprascapular nerve block + interscalene nerve block (SSNB + INB) was ranked first, whereas INB + intra-articular injection (INB + IAI) was ranked first at 24 h and 48 h postoperation. In the non-nerve block group, external application (EA) was ranked first at postoperative 12 h, but oral administration (OA) exhibited a better analgesic effect at postoperative 24 h and postoperative 48 h.ConclusionWe conclude that the analgesic effect of SSNB+INB was the best at postoperative 12 h, and INB+IAI was the best at postoperative 24 h and 48 h in the nerve block group. For the non-nerve block group, the effect of EA was the best at postoperative 12 h, and the analgesic effect of OA at postoperative 24 h and 48 h was significantly better than any other interventions.Systematic Review Registrationhttps://www.crd.york.ac.uk/prospero/, identifier: CRD42021286777.
Hypothalamic Neurochemical Changes in Long-Term Recovered Bilateral Subdiaphragmatic Vagotomized Rats
Authors: Kobrzycka Anna Teresa , Stankiewicz Adrian Mateusz , Goscik Joanna , Gora Monika , Burzynska Beata , Iwanicka-Nowicka Roksana , Pierzchala-Koziec Krystyna , Wieczorek Marek 
Published: July 2022

BackgroundVagus nerve is one of the crucial routes in communication between the immune and central nervous systems. The impaired vagal nerve function may intensify peripheral inflammatory processes. This effect subsides along with prolonged recovery after permanent nerve injury. One of the results of such compensation is a normalized plasma concentration of stress hormone corticosterone – a marker of hypothalamic-pituitary-adrenal (HPA) axis activity. In this work, we strive to explain this corticosterone normalization by studying the mechanisms responsible for compensation-related neurochemical alterations in the hypothalamus.Materials and MethodsUsing microarrays and high performance liquid chromatography (HPLC), we measured genome-wide gene expression and major amino acid neurotransmitters content in the hypothalamus of bilaterally vagotomized rats, 1 month after surgery.ResultsOur results show that, in the long term, vagotomy affects hypothalamic amino acids concentration but not mRNA expression of tested genes.DiscussionWe propose an alternative pathway of immune to CNS communication after vagotomy, leading to activation of the HPA axis, by influencing central amino acids and subsequent monoaminergic neurotransmission.
New Insights Into Diuretic Use to Treat Congestion in the ICU: Beyond Furosemide
Authors: Escudero Victor Joaquin , Mercadal Jordi , Molina-Andújar Alícia , Piñeiro Gaston J. , Cucchiari David , Jacas Adriana , Carramiñana Albert , Poch Esteban 
Published: July 2022

Diuretics are commonly used in critically ill patients with acute kidney injury (AKI) and fluid overload in intensive care units (ICU), furosemide being the diuretic of choice in more than 90% of the cases. Current evidence shows that other diuretics with distinct mechanisms of action could be used with good results in patients with selected profiles. From acetazolamide to tolvaptan, we will discuss recent studies and highlight how specific diuretic mechanisms could help to manage different ICU problems, such as loop diuretic resistance, hypernatremia, hyponatremia, or metabolic alkalosis. The current review tries to shed some light on the potential use of non-loop diuretics based on patient profile and give recommendations for loop diuretic treatment performance focused on what the intensivist and critical care nephrologist need to know based on the current evidence.