bluuebunny/crossref_metadata_2025_split huggingface dataset:
Revascularization of Occluded Right Coronary Artery and Outcome After Coronary Artery Bypass Grafting
Authors: Biancari Fausto , Dalén Magnus , Tauriainen Tuomas , Gatti Giuseppe , Salsano Antonio , Santini Francesco , Feo Marisa De , Zhang Qiyao , Mazzaro Enzo , Franzese Ilaria , Bancone Ciro , Zanobini Marco , Mäkikallio Timo , Saccocci Matteo , Francica Alessandra , Onorati Francesco , El-Dean Zein , Mariscalco Giovanni 
Published: February 2023

Abstract
Objectives The aim of the present study was to evaluate the results of isolated coronary artery bypass grafting (CABG) with or without revascularization of the occluded right coronary artery (RCA).
Methods Patients undergoing isolated CABG were included in a prospective European multicenter registry. Outcomes were adjusted for imbalance in preoperative variables with propensity score matching analysis. Late outcomes were evaluated with Kaplan–Meier's method and competing risk analysis.
Results Out of 2,948 included in this registry, 724 patients had a total occlusion of the RCA and were the subjects of this analysis. Occluded RCA was not revascularized in 251 (34.7%) patients with significant variability between centers. Among 245 propensity score-matched pairs, patients with and without revascularization of occluded RCA had similar early outcomes. The nonrevascularized RCA group had increased rates of 5-year all-cause mortality (17.7 vs. 11.7%, p = 0.039) compared with patients who had their RCA revascularized. The rates of myocardial infarction and repeat revascularization were only numerically increased but contributed to a significantly higher rate of MACCE (24.7 vs. 15.7%, p = 0.020) at 5 year among patients with nonrevascularized RCA.
Conclusion In this multicenter study, one-third of totally occluded RCAs was not revascularized during isolated CABG for multivessel coronary artery disease. Failure to revascularize an occluded RCA in these patients increased the risk of all-cause mortality and MACCEs at 5 years.
Changing minds about climate change: a pervasive role for domain-general metacognition
Authors: De Beukelaer Sophie , Vehar Neza , Rollwage Max , Fleming Stephen M. , Tsakiris Manos 
Published: February 2023

AbstractUpdating one’s beliefs about the causes and effects of climate change is crucial for altering attitudes and behaviours. Importantly, metacognitive abilities - insight into the (in)correctness of one’s beliefs- play a key role in the formation of polarised beliefs. We here aimed at investigated the role of metacognition in changing beliefs about climate change. To that end, we focused on the role of domain-general and domain-specific metacognition in updating prior beliefs about climate change across the spectrum of climate change scepticism. We also considered the role of how climate science is communicated in the form of textual or visuo-textual presentations. We asked two large US samples to perform a perceptual decision-making task (to assess domain-general decision-making and metacognitive abilities. They next performed a belief-updating task, where they were exposed to good and bad news about climate change and we asked them about their beliefs and their updating. Lastly, they completed a series of questionnaires probing their attitudes to climate change. We show that climate change scepticism is associated with differences in domain-general as well as domain-specific metacognitive abilities. Moreover, domain-general metacognitive sensitivity influenced belief updating in an asymmetric way: lower domain-general metacognition decreased the updating of prior beliefs, especially in the face of negative evidence. Our findings highlight the role of metacognitive failures in revising erroneous beliefs about climate change and point to their adverse social effects.
Effects of accumulated versus continuous individualized exercise on postprandial glycemia in young adults with obesity
Authors: Zhang Xiaoyuan , Tian Xiao Yu , Miyashita Masashi , Sun Fenghua , Huang Wendy Y. J. , Zheng Chen , Sum Man Kuk , Wong Stephen H. S. 
Published: February 2023

ABSTRACTBackground: Elevated postprandial glucose (PPG) is an independent risk factor for cardiovascular disease. Post‐meal exercise effectively reduces PPG concentrations. However, the effect of accumulated versus continuous post‐meal exercise on PPG control remains unclear. This study aimed to investigate the effects of individualized accumulated or continuous exercise on PPG in young adults with obesity.Twenty young adults with obesity (11 males) completed three 4‐h randomized crossover trials with 6–14‐day washout periods: (1) sitting (SIT), (2) one 30‐min walking bout (CONT), and (3) three 10‐min walking bouts separated by 20‐min resting (ACCU). Walking was initiated 20 min before individual PPG peak after breakfast, which was predetermined by continuous glucose monitoring. Blood samples were collected at 15–30 min intervals, and the 24‐h glucose was monitored via continuous glucose monitoring.Results: The 4‐h PPG incremental area under the curve (iAUC) was 12.1%±30.9% and 21.5%±21.5% smaller after CONT (P = 0.022) and ACCU (P < 0.001), respectively, than after SIT. PPG concentrations were lower during CONT at 30–60 min and during ACCU at 30–105 min after breakfast than during SIT (all P < 0.05). The 4‐h plasma insulin and C‐peptide iAUC, and mean amplitude of glycemic excursions were lower after CONT and ACCU than after SIT (all P < 0.05).Conclusions: Both continuous and accumulated exercises reduced PPG, insulin, and C‐peptide concentrations and improved glucose fluctuations. Accumulated exercise maintained lower PPG concentrations for a longer time than continuous exercise in young adults with obesity.Clinical Trial Information: Clinical trial registration No. ChiCTR 2000035064, URL: http://www.chictr.org.cn/showproj.aspx?proj=56584; (registered July 29, 2020).
Hypothalamic Paraventricular Nucleus Hydrogen Sulfide Exerts Antihypertensive Effects in Spontaneously Hypertensive Rats via the Nrf2 Pathway
Authors: Xia Wen-Jie , Liu Kai-Li , Wang Xiao-Min , Yang Yu , Meng Tingting , Qiao Jin-An , Zhang Nianping , Sun Yao-Jun , Kang Yu-Ming , Yu Xiao-Jing 
Published: February 2023

Abstract

Background
Hydrogen sulfide (H2S) is widely distributed throughout the nervous system with various antioxidant and anti-inflammatory properties. Hypertension involves an increase in reactive oxygen species (ROS) and inflammation in the hypothalamic paraventricular nucleus (PVN). However, it is unclear how H2S in PVN affects hypertension.

Methods
Our study used spontaneously hypertensive rats (SHR) and control Wistar Kyoto (WKY) rats, microinjected with adenovirus-associated virus (AAV)-CBS (cystathionine beta-synthase overexpression) or AAV-ZsGreen in bilateral PVN, or simultaneously injected with virus-carrying nuclear factor erythroid 2-related factor 2 (Nrf2)-shRNA for 4 weeks. Blood pressure (BP) and plasma noradrenaline level were detected, and the PVN was collected. Finally, levels of CBS, H2S, Nrf2, Fra-LI, ROS, gp91phox, p47phox, superoxide dismutase 1, interleukin (IL)-1β, IL-6, IL-10, tumor necrosis factor-α, tyrosine hydroxylase, and glutamate decarboxylase 67 were measured.

Results
We found that AAV-CBS increased H2S in the PVN, and BP, neuronal activation, oxidative stress, and inflammation of PVN were substantially reduced. Furthermore, endogenous H2S in the PVN activated Nrf2 and corrected the PVN’s imbalance of excitatory and inhibitory neurotransmitters. However, Nrf2 knockdown in the PVN was similarly observed to abolish the beneficial effect of H2S on hypertension.

Conclusions
The findings imply that endogenous H2S in SHR PVN is reduced, and PVN endogenous H2S can alleviate hypertension via Nrf2-mediated antioxidant and anti-inflammatory effects.
ProFAB—open protein functional annotation benchmark
Authors: Özdilek A Samet , Atakan Ahmet , Özsarı Gökhan , Acar Aybar , Atalay M Volkan , Doğan Tunca , Rifaioğlu Ahmet S 
Published: February 2023

AbstractAs the number of protein sequences increases in biological databases, computational methods are required to provide accurate functional annotation with high coverage. Although several machine learning methods have been proposed for this purpose, there are still two main issues: (i) construction of reliable positive and negative training and validation datasets, and (ii) fair evaluation of their performances based on predefined experimental settings. To address these issues, we have developed ProFAB: Open Protein Functional Annotation Benchmark, which is a platform providing an infrastructure for a fair comparison of protein function prediction methods. ProFAB provides filtered and preprocessed protein annotation datasets and enables the training and evaluation of function prediction methods via several options. We believe that ProFAB will be useful for both computational and experimental researchers by enabling the utilization of ready-to-use datasets and machine learning algorithms for protein function prediction based on Gene Ontology terms and Enzyme Commission numbers. ProFAB is available at https://github.com/kansil/ProFAB and https://profab.kansil.org.
netANOVA: novel graph clustering technique with significance assessment via hierarchical ANOVA
Authors: Duroux Diane , Van Steen Kristel 
Published: February 2023

AbstractMany problems in life sciences can be brought back to a comparison of graphs. Even though a multitude of such techniques exist, often, these assume prior knowledge about the partitioning or the number of clusters and fail to provide statistical significance of observed between-network heterogeneity. Addressing these issues, we developed an unsupervised workflow to identify groups of graphs from reliable network-based statistics. In particular, we first compute the similarity between networks via appropriate distance measures between graphs and use them in an unsupervised hierarchical algorithm to identify classes of similar networks. Then, to determine the optimal number of clusters, we recursively test for distances between two groups of networks. The test itself finds its inspiration in distance-wise ANOVA algorithms. Finally, we assess significance via the permutation of between-object distance matrices. Notably, the approach, which we will call netANOVA, is flexible since users can choose multiple options to adapt to specific contexts and network types. We demonstrate the benefits and pitfalls of our approach via extensive simulations and an application to two real-life datasets. NetANOVA achieved high performance in many simulation scenarios while controlling type I error. On non-synthetic data, comparison against state-of-the-art methods showed that netANOVA is often among the top performers. There are many application fields, including precision medicine, for which identifying disease subtypes via individual-level biological networks improves prevention programs, diagnosis and disease monitoring.
Bioinformatics toolbox for exploring target mutation-induced drug resistance
Authors: Huang Yuan-Qin , Sun Ping , Chen Yi , Liu Huan-Xiang , Hao Ge-Fei , Song Bao-An 
Published: February 2023

AbstractDrug resistance is increasingly among the main issues affecting human health and threatening agriculture and food security. In particular, developing approaches to overcome target mutation-induced drug resistance has long been an essential part of biological research. During the past decade, many bioinformatics tools have been developed to explore this type of drug resistance, and they have become popular for elucidating drug resistance mechanisms in a low cost, fast and effective way. However, these resources are scattered and underutilized, and their strengths and limitations have not been systematically analyzed and compared. Here, we systematically surveyed 59 freely available bioinformatics tools for exploring target mutation-induced drug resistance. We analyzed and summarized these resources based on their functionality, data volume, data source, operating principle, performance, etc. And we concisely discussed the strengths, limitations and application examples of these tools. Specifically, we tested some predictive tools and offered some thoughts from the clinician’s perspective. Hopefully, this work will provide a useful toolbox for researchers working in the biomedical, pesticide, bioinformatics and pharmaceutical engineering fields, and a good platform for non-specialists to quickly understand drug resistance prediction.
Performance of the Glucose Management Indicator (GMI) in Type 2 Diabetes
Authors: Fang Michael , Wang Dan , Rooney Mary R , Echouffo-Tcheugui Justin B , Coresh Josef , Aurora R Nisha , Punjabi Naresh M , Selvin Elizabeth 
Published: February 2023

AbstractBackgroundThe glucose management indicator (GMI) is an estimated measure of hemoglobin A1c (HbA1c) recommended for the management of persons with diabetes using continuous glucose monitoring (CGM). However, GMI was derived primarily in young adults with type 1 diabetes, and its performance in patients with type 2 diabetes is poorly characterized.MethodsWe conducted a prospective cohort study in 144 adults with obstructive sleep apnea and type 2 diabetes not using insulin (mean age: 59.4 years; 45.1% female). HbA1c was measured at the study screening visit. Participants simultaneously wore 2 CGM sensors (Dexcom G4 and Abbott Libre Pro) for up to 4 weeks (2 weeks at baseline and 2 weeks at the 3-month follow-up visit). GMI was calculated using all available CGM data for each sensor.ResultsMedian wear time was 27 days (IQR: 23–29) for the Dexcom G4 and 28 days (IQR: 24–29) for the Libre Pro. The mean difference between HbA1c and GMI was small (0.12–0.14 percentage points) (approximately 2 mmol/mol). However, the 2 measures were only moderately correlated (r = 0.68–0.71), and there was substantial variability in GMI at any given value of HbA1c (root mean squared error: 0.66–0.69 percentage points [7 to 8 mmol/mol]). Between 36% and 43% of participants had an absolute difference between HbA1c and GMI ≥0.5 percentage points (≥5 mmol/mol), and 9% to 18% had an absolute difference &gt;1 percentage points (&gt;11 mmol/mol). Discordance was higher in the Libre Pro than the Dexcom G4.ConclusionsGMI may be an unreliable measure of glycemic control for patients with type 2 diabetes and should be interpreted cautiously in clinical practice.Clinicaltrials.gov Registration Number: NCT02454153.
Preoperative Cell-Free DNA (cfDNA) in Muscle-Invasive Bladder Cancer Treatment Outcome
Authors: Papadimitriou Maria-Alexandra , Levis Panagiotis , Kotronopoulos Georgios , Stravodimos Konstantinos , Avgeris Margaritis , Scorilas Andreas 
Published: February 2023

AbstractBackgroundTumor heterogeneity and lack of personalized prognosis leads to bladder cancer (BlCa) patients’ lifelong surveillance with invasive interventions, highlighting the need for modern minimally invasive tools for disease management. Herein, we have evaluated the clinical utility of preoperative serum cell-free DNA (cfDNA) in ameliorating patients’ risk-stratification and prognosis.MethodscfDNA was purified from 190 preoperative BlCa patients and 26 healthy individuals’ serum samples and quantified by 2 assays: an in-house quantitative real-time PCR (qPCR) assay using LEP as reference control and a direct fluorometric assay using Qubit HS dsDNA. Capillary electrophoresis was performed in 31 samples for cfDNA fragment profiling. Tumor relapse/progression and metastasis/death were used as clinical endpoints for non-muscle-invasive bladder cancer and muscle-invasive bladder cancer (MIBC), respectively.ResultscfDNA profiling by capillary electrophoresis highlighted that total and fragment-related cfDNA levels were significantly increased in BlCa and associated with advance disease stages. Evaluation of cfDNA levels by both Qubit/qPCR displayed highly consistent results (rs = 0.960; P &lt; 0.001). Higher cfDNA was correlated with MIBC and stronger risk for early metastasis (Qubit:hazard ratio [HR] = 3.016, P = 0.009; qPCR:HR = 2.918, P = 0.004) and poor survival (Qubit:HR = 1.898, P = 0.042; qPCR:HR = 1.888, P = 0.026) of MIBC patients. Multivariate cfDNA-fitted models led to superior risk stratification and net benefit for MIBC prognosis compared to disease established markers.ConclusionsElevated preoperative cfDNA levels are strongly associated with higher risk for short-term metastasis and poor outcome of MIBC, supporting modern noninvasive disease prognosis and management.
Outcomes with catheter-directed thrombolysis vs. catheter-directed embolectomy among patients with high-risk pulmonary embolism: a nationwide analysis
Authors: Sedhom Ramy , Elbadawi Ayman , Megaly Michael , Athar Ahmed , Bharadwaj Aditya S , Prasad Vinoy , Cameron Scott J , Weinberg Ido , Mamas Mamas A , Messerli Adrian W , Jaber Wissam , Elgendy Islam Y 
Published: February 2023

AbstractAimsTo examine the shot-term outcomes with catheter-directed thrombolysis (CDT) vs. catheter-directed embolectomy (CDE) for high-risk pulmonary embolism (PE).Methods and resultsThe Nationwide Readmissions Database was utilized to identify hospitalizations with high-risk PE undergoing CDE or CDT from 2016 to 2019. The main outcome was all-cause in-hospital mortality. Propensity score matching was used to compare the outcomes in both groups. Among 3216 high-risk PE hospitalizations undergoing catheter-directed interventions, 868 (27%) received CDE, 1864 (58%) received CDT, and 484 (15%) received both procedures. In the unadjusted analysis, the rate of all-cause in-hospital mortality was not different between CDE and CDT (39.6% vs. 34.2%, P = 0.07). After propensity score matching, there was no difference in the incidence of in-hospital mortality [adjusted odds ratio (aOR): 1.28, 95% confidence interval (CI): 0.95, 1.72, P = 0.10], intracranial haemorrhage (ICH) (adjusted OR 1.57, 95% CI: 0.75, 3.29, P = 0.23), or non-ICH bleeding (aOR: 1.17, 95% CI: 0.85, 1.62, P = 0.33). There were no differences in the length of stay, cost, and 30-day unplanned readmissions between both groups.ConclusionIn this contemporary observational analysis of patients admitted with high-risk PE undergoing CDT or CDE, the rates of in-hospital mortality, ICH, and non-ICH bleeding events were not different.
Lessons from timing of ablation therapy for multi-drug refractory gestational atrial tachycardia with abruptio placentae: a case report
Authors: You Joseph , Pagan Eric , Mitra Raman 
Published: February 2023

AbstractBackgroundSupraventricular tachycardia poses a clinical challenge during pregnancy, particularly if refractory to antiarrhythmic medications. Performing catheter ablation during pregnancy necessitates careful risk benefit analysis for both the mother and foetus, especially with left-sided ablations that may require post-procedural systemic anticoagulation.Case summaryWe describe a case of a 31-year-old pregnant woman with refractory atrial tachycardia which failed a multi-antiarrhythmic drug regimen and ultimately developed abruptio placentae, requiring a carefully staged ablation approach for definitive treatment.DiscussionThis case highlights the importance of taking into consideration the risks of post-procedural anticoagulation in the event of clinical complications in pregnancy such as abruptio placentae and coordinating carefully with gynaecologists to optimize maternal and foetal outcomes. Here, careful risk stratification was paramount to successfully navigate through the management of her atrial tachycardia while ensuring foetal viability.
Successful management of near-incessant bidirectional ventricular tachycardia in one-year-old child with COVID-19 infection: a case report
Authors: Ghazaryan Nare , Hovakimyan Tatevik 
Published: February 2023

AbstractBackgroundThe COVID-19 is an infectious disease, caused by SARS-CoV-2 virus. Cardiovascular complications of COVID-19 are reported more often, from inflammatory cardiac diseases to acute coronary syndromes, thromboembolic events and arrhythmias. Sometimes, these arrhythmias may be life threatening and require urgent intervention.Case summaryThis is a case of one-year-old boy, who was referred to our hospital because of premature ventricular complexes on ECG. The child had genetic chimerism with a karyotype of 46XY(12)/46XX(3) and small patent ductus arteriosus. We observed non-sustained episodes of bidirectional ventricular tachycardia (VT) on 24 h Holter monitor, which increased over time and caused multiple planned and urgent shocks, despite antiarrhythmic drugs and deep sedation and intubation. Patient was tested positive for COVID-19 using PCR. After thorough echocardiographic testing and a negative genetic analysis for arrhythmogenic disorders he was diagnosed with COVID-19 associated ventricular tachycardia, taking into account that he also developed multisystem inflammatory syndrome. Further, a significant decrease of ventricular activity was observed, which allowed us to implant a cardioverter-defibrillator (ICD). Soon after the implantation the storm of ventricular tachycardia restarted with multiple shocks of the device. This time left partial thoracic sympathectomy was performed and the patient didn't have ICD shocks any more.DiscussionCOVID-19 infection can be associated with significant arrhythmias, including fatal ventricular arrhythmias also in children. Left partial thoracic sympathectomy can be a helpful option in patients with sustained ventricular tachycardia and multiple ICD shocks, in whom antiarrhythmic treatment or VT ablation is useless or not available.
Control variable selection in applied quantitative sociology: a critical review
Authors: Kohler Ulrich , Class Fabian , Sawert Tim 
Published: February 2023

Abstract
A review of all research papers published in the European Sociological Review in 2016 and 2017 (N = 118) shows that only a minority of papers clearly define the parameter of interest and provide sufficient reasoning for the selected control variables of the statistical analysis. Thus, the vast majority of papers does not reach minimal standards for the selection of control variables. Consequently, a majority of papers interpret biased coefficients, or statistics without proper sociological meaning. We postulate that authors and reviewers should be more careful about control variable selection. We propose graphical causal models in the form of directed acyclic graphs as an example for a parsimonious and powerful means to that end.