bluuebunny/crossref_metadata_2025_split huggingface dataset:
Intake of dietary flavonoids and incidence of ischemic heart disease in the Danish Diet, Cancer, and Health cohort
Authors: Parmenter Benjamin H. , Dalgaard Frederik , Murray Kevin , Marquis-Gravel Guillaume , Cassidy Aedín , Bondonno Catherine P. , Lewis Joshua R. , Croft Kevin D. , Kyrø Cecilie , Gislason Gunnar , Scalbert Augustin , Tjønneland Anne , Overvad Kim , Hodgson Jonathan M. , Bondonno Nicola P. 
Published: October 2022

Abstract
Background/Objectives
Few studies have investigated the association between dietary flavonoid intake, including all major subclasses, and the long-term risk of ischemic heart disease (IHD). We examined whether dietary flavonoid intake associated with IHD incidence, assessing the possible modifying role of sex and smoking, in participants from the Danish Diet, Cancer, and Health study.

Subjects/Methods
In a cohort study design, 54,496 adults (46.8% male), aged 50–64 years, without a history of IHD, were followed for up to 23 years. Habitual dietary flavonoid intake was estimated from food frequency questionnaires using Phenol-Explorer. Incident cases of IHD were identified within Danish nationwide health registries. Restricted cubic splines in Cox proportional hazards models were used to examine associations between flavonoid intake and IHD risk.

Results
During follow-up, 5560 IHD events were recorded. No overall association was seen between total flavonoid intake, nor any subclass, and IHD, following adjustment for demographics, lifestyle, and dietary confounders. Stratified by sex and smoking status, higher intakes of specific subclasses associated with lower IHD risk among ever-smokers [Q5 vs. Q1 flavonols HR (95% CI): 0.90 (0.82, 0.99); flavanol oligo+polymers: 0.88 (0.80, 0.97)], but not among never-smokers, nor either sex specifically.

Conclusions
While we did not find clear evidence that higher habitual dietary flavonoid intake was associated with lower IHD risk, these results do not exclude the possibility that certain subclasses may have a protective role in prevention of IHD among population sub-groups; this was evident among smokers, who are at a higher risk of atherosclerosis.
Intestine-specific removal of DAF-2 nearly doubles lifespan in Caenorhabditis elegans with little fitness cost
Authors: Zhang Yan-Ping , Zhang Wen-Hong , Zhang Pan , Li Qi , Sun Yue , Wang Jia-Wen , Zhang Shaobing O. , Cai Tao , Zhan Cheng , Dong Meng-Qiu 
Published: October 2022

AbstractTwenty-nine years following the breakthrough discovery that a single-gene mutation ofdaf-2doublesCaenorhabditis eleganslifespan, it remains unclear where this insulin/IGF-1 receptor gene is expressed and where it acts to regulate ageing. Using knock-in fluorescent reporters, we determined thatdaf-2and its downstream transcription factordaf-16are expressed ubiquitously. Using tissue-specific targeted protein degradation, we determined that intracellular DAF-2-to-DAF-16 signaling in the intestine plays a major role in lifespan regulation, while that in the hypodermis, neurons, and germline plays a minor role. Notably, intestine-specific loss of DAF-2 activates DAF-16 in and outside the intestine, causes almost no adverse effects on development and reproduction, and extends lifespan by 94% in a way that partly requires non-intestinal DAF-16. Consistent with intestine supplying nutrients to the entire body, evidence from this and other studies suggests that altered metabolism, particularly down-regulation of protein and RNA synthesis, mediates longevity by reduction of insulin/IGF-1 signaling.
Cell-specific bioorthogonal tagging of glycoproteins
Authors: Cioce Anna , Calle Beatriz , Rizou Tatiana , Lowery Sarah C. , Bridgeman Victoria L. , Mahoney Keira E. , Marchesi Andrea , Bineva-Todd Ganka , Flynn Helen , Li Zhen , Tastan Omur Y. , Roustan Chloe , Soro-Barrio Pablo , Rafiee Mahmoud-Reza , Garza-Garcia Acely , Antonopoulos Aristotelis , Wood Thomas M. , Keenan Tessa , Both Peter , Huang Kun , Parmeggian Fabio , Snijders Ambrosius P. , Skehel Mark , Kjær Svend , Fascione Martin A. , Bertozzi Carolyn R. , Haslam Stuart M. , Flitsch Sabine L. , Malaker Stacy A. , Malanchi Ilaria , Schumann Benjamin 
Published: October 2022

AbstractAltered glycoprotein expression is an undisputed corollary of cancer development. Understanding these alterations is paramount but hampered by limitations underlying cellular model systems. For instance, the intricate interactions between tumour and host cannot be adequately recapitulated in monoculture of tumour-derived cell lines. More complex co-culture models usually rely on sorting procedures for proteome analyses and rarely capture the details of protein glycosylation. Here, we report a strategy termed Bio-Orthogonal Cell line-specific Tagging of Glycoproteins (BOCTAG). Cells are equipped by transfection with an artificial biosynthetic pathway that transforms bioorthogonally tagged sugars into the corresponding nucleotide-sugars. Only transfected cells incorporate bioorthogonal tags into glycoproteins in the presence of non-transfected cells. We employ BOCTAG as an imaging technique and to annotate cell-specific glycosylation sites in mass spectrometry-glycoproteomics. We demonstrate application in co-culture and mouse models, allowing for profiling of the glycoproteome as an important modulator of cellular function.
Highly nonlinear dipolar exciton-polaritons in bilayer MoS2
Authors: Datta Biswajit , Khatoniar Mandeep , Deshmukh Prathmesh , Thouin Félix , Bushati Rezlind , De Liberato Simone , Cohen Stephane Kena , Menon Vinod M. 
Published: October 2022

AbstractRealizing nonlinear optical response in the low photon density limit in solid-state systems has been a long-standing challenge. Semiconductor microcavities in the strong coupling regime hosting exciton-polaritons have emerged as attractive candidates in this context. However, the weak interaction between these quasiparticles has been a hurdle in this quest. Dipolar excitons provide an attractive strategy to overcome this limitation but are often hindered by their weak oscillator strength. The interlayer dipolar excitons in naturally occurring homobilayer MoS2 alleviates this issue owing to their formation via hybridization of interlayer charge transfer exciton with intralayer B exciton. Here we demonstrate the formation of dipolar exciton polaritons in bilayer MoS2 resulting in unprecedented nonlinear interaction strengths. A ten-fold increase in nonlinearity is observed for the interlayer dipolar excitons compared to the conventional A excitons. These highly nonlinear dipolar polaritons will likely be a frontrunner in the quest for solid-state quantum nonlinear devices.
SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification
Authors: Zhang Zichen , Bae Ye Eun , Bradley Jonathan R. , Wu Lang , Wu Chong 
Published: October 2022

AbstractGenes with moderate to low expression heritability may explain a large proportion of complex trait etiology, but such genes cannot be sufficiently captured in conventional transcriptome-wide association studies (TWASs), partly due to the relatively small available reference datasets for developing expression genetic prediction models to capture the moderate to low genetically regulated components of gene expression. Here, we introduce a method, the Summary-level Unified Method for Modeling Integrated Transcriptome (SUMMIT), to improve the expression prediction model accuracy and the power of TWAS by using a large expression quantitative trait loci (eQTL) summary-level dataset. We apply SUMMIT to the eQTL summary-level data provided by the eQTLGen consortium. Through simulation studies and analyses of genome-wide association study summary statistics for 24 complex traits, we show that SUMMIT improves the accuracy of expression prediction in blood, successfully builds expression prediction models for genes with low expression heritability, and achieves higher statistical power than several benchmark methods. Finally, we conduct a case study of COVID-19 severity with SUMMIT and identify 11 likely causal genes associated with COVID-19 severity.
Three component synthesis of triazolo[1,2-a]indazole-trione and spiro triazolo[1,2-a]indazole-tetraones using GO/SiO2/Co (II)
Authors: Mirheidari Mahnaz , Safaei-Ghomi Javad 
Published: October 2022

AbstractIn this study, a functionalized graphene oxide catalyst (GO/f-SiO2/Co) was successfully synthesized by decorating the graphene oxide surface using the attachment of hybrid silane (silica/nitrogen) and chelation with Co (II). The catalyst has been characterized by Fourier Transform Infrared (FT-IR), powder X-ray diffraction (XRD), Energy Dispersive X-ray (EDX), Scanning Electron Microscopy (SEM), Transmission electron microscopy (TEM), Raman spectra, Brunauer–Emmett–Teller (BET), and Thermal Gravimetric (TGA) analyses. The synthesized catalyst was used as an effective heterogeneous catalyst for the synthesis of triazolo[1,2-a]indazole-trione and spiro triazolo[1,2-a]indazole-tetraones derivatives under solvent-free conditions at 90 °C. The high thermal stability, corrosion resistance, and ability of the catalyst to recycle make the catalyst favorable. In addition, easy work-up procedure and short reaction time with high conversion yields (91–97%) are some benefits of the current method.
Data-driven identification of heart failure disease states and progression pathways using electronic health records
Authors: Nagamine Tasha , Gillette Brian , Kahoun John , Burghaus Rolf , Lippert Jörg , Saxena Mayur 
Published: October 2022

AbstractHeart failure (HF) is a leading cause of morbidity, healthcare costs, and mortality. Guideline based segmentation of HF into distinct subtypes is coarse and unlikely to reflect the heterogeneity of etiologies and disease trajectories of patients. While analyses of electronic health records show promise in expanding our understanding of complex syndromes like HF in an evidence-driven way, limitations in data quality have presented challenges for large-scale EHR-based insight generation and decision-making. We present a hypothesis-free approach to generating real-world characteristics and progression patterns of HF. Patient disease state snapshots are extracted from the complaints mentioned in unstructured clinical notes. Typical disease states are generated by clustering and characterized in terms of their distinguishing features, temporal relationships, and risk of important clinical events. Our analysis generates a comprehensive “disease phenome” of real-world patients computed from large, noisy, secondary-use EHR datasets created in a routine clinical setting.
Genome-wide association mapping for wheat morphometric seed traits in Iranian landraces and cultivars under rain-fed and well-watered conditions
Authors: Rabieyan Ehsan , Bihamta Mohammad Reza , Moghaddam Mohsen Esmaeilzadeh , Mohammadi Valiollah , Alipour Hadi 
Published: October 2022

AbstractSeed traits in bread wheat are valuable to breeders and farmers, thus it is important exploring putative QTLs responsible for key traits to be used in breeding programs. GWAS was carried out using 298 bread wheat landraces and cultivars from Iran to uncover the genetic basis of seed characteristics in both rain-fed and well-watered environments. The analyses of linkage disequilibrium (LD) between marker pairs showed that the largest number of significant LDs in landraces (427,017) and cultivars (370,359) was recorded in genome B, and the strongest LD was identified on chromosome 4A (0.318). LD decay was higher in the B and A genomes, compared to the D genome. Mapping by using mrMLM (LOD > 3) and MLM (0.05/m, Bonferroni) led to 246 and 67 marker-trait associations (MTAs) under rain-fed, as well as 257 and 74 MTAs under well-watered conditions, respectively. The study found that 3VmrMLM correctly detected all types of loci and estimated their effects in an unbiased manner, with high power and accuracy and a low false positive rate, which led to the identification of 140 MTAs (LOD > 3) in all environments. Gene ontology revealed that 10 and 10 MTAs were found in protein-coding regions for rain-fed and well-watered conditions, respectively. The findings suggest that landraces studied in Iranian bread wheat germplasm possess valuable alleles, which are responsive to water-limited conditions. MTAs uncovered in this study can be exploited in the genome-mediated development of novel wheat cultivars.
Anxiety in the adult population from the onset to termination of social distancing protocols during the COVID-19: a 20-month longitudinal study
Authors: Hoffart Asle , Bauer Daniel J. , Johnson Sverre Urnes , Ebrahimi Omid V.· 
Published: October 2022

AbstractThe social distancing protocols (SDPs) implemented as a response to the COVID-19 pandemic may seriously influence peoples’ mental health. We used a sample of 4361 Norwegian adults recruited online and stratified to be nationally representative to investigate the evolution of anxiety following each modification in national SDPs across a 20-month period from the onset of the pandemic to the reopening of society and discontinuation of SDPs. The mean anxiety level fluctuated throughout the observation period and these fluctuations were related to the stringency of the modified SDPs. Those with a high initial level almost in unison showed a substantial and lasting decrease of anxiety after the first lifting of SDPs. A sub-group of 9% had developed a persistent anxiety state during the first 3 months. Younger age, pre-existing psychiatric diagnosis, and use of unverified information platforms proved to predict marked higher anxiety in the long run. In conclusion, individuals with a high level of anxiety at the outbreak of the pandemic improved when the social distancing protocols were lifted. By contrast, a sizeable subgroup developed lasting clinical levels of anxiety during the first 3 months of the pandemic and is vulnerable to prolonged anxiety beyond the pandemic period.
Sex difference in the association among nutrition, muscle mass, and strength in peritoneal dialysis patients
Authors: Do Jun Young , Kang Seok Hui 
Published: October 2022

AbstractMany peritoneal dialysis (PD) patients are malnourished, which leads to weakening owing to a decrease in muscle mass. However, this straightforward association could differ based on the sex of individuals. Further, studies on the sex-based association among nutrition, muscle mass, and strength would be helpful in choosing optimal interventions to improve the strength of patients on dialysis. The study aimed to assess the association between these three variables using mediation analysis. This retrospective study included prevalent PD patients (n = 199). Mediation analysis was conducted to investigate the effect of the appendicular lean mass (ALM) index on the association between the geriatric nutritional risk index (GNRI) and handgrip strength (HGS). The numbers of PD patients with a low ALM index, low HGS, or low GNRI score were 121 (60.8%), 109 (54.8%), and 70 (35.2%), respectively. The proportion of patients with a low ALM index was lower in females than in males, and those with a low HGS were less in patients without diabetes than that in those with diabetes. Patients ≥ 65 years old had a higher proportion of low ALM index or HGS than those < 65 years old. Low HGS was significantly associated with mortality in both sexes. In males, the HGS was correlated with the GNRI and ALM index; however, in females, partial correlation did not demonstrate an association among the GNRI, ALM index, and HGS. Mediation analysis showed that, in males, the GNRI was associated with HGS, and the association was partially mediated through the ALM index. These data reveal that the ALM index accounts for some, but not all, of the relationship between GNRI and HGS. There is not only a significant relationship between the ALM index and HGS, but also some direct relationship between GNRI and HGS. In females, there was no significant association between the GNRI or ALM index and HGS. These suggest that, for both sexes, nutritional supplementation and exercise should be recommended as the primary intervention for improving strength; however, other interventions for improving muscle quality could be considered as alternatives for maintaining strength in women undergoing PD.
Static mandibular condyle positions studied by MRI and condylar position indicator
Authors: Freudenthaler Josef , Lettner Stefan , Gahleitner André , Jonke Erwin , Čelar Aleš 
Published: October 2022

AbstractWe compared mandibular condyle positions as determined by magnetic resonance imaging (MRI) and a mechanical device, the condylar position indicator (CPI). Both methods assessed 3 mandibular positions in 10 asymptomatic males and 10 asymptomatic females, aged 23 to 37 years, free from temporomandibular disorders: maximum intercuspation, bimanually manipulated centric relation, and the unguided neuromuscular position. Bite registrations were obtained for bimanual operator guidance and neuromuscular position. 3 T MRI scans of both temporomandibular joints produced 3D data of the most superior condylar points in all 3 mandibular positions. Using mounted plaster casts and the same bite registrations, an electronic CPI displayed 3D data of its condylar spheres in these positions. The results showed interclass correlation coefficients ranging from 0.03 to 0.66 (95% confidence intervals from 0 to 0.8) and significantly different condyle positions between both methods (p = 0.0012, p < 0.001). The implications of the study emphasize that condyle position is unpredictable and variable. Its exact knowledge requires radiological imaging and should not rely on CPI assessments.
Individual and generational value change in an adult population, a 12-year longitudinal panel study
Authors: Leijen Ingmar , van Herk Hester , Bardi Anat 
Published: October 2022

AbstractA long-standing conundrum is whether age differences in personality are due to generation, or internal change with age. Using a representative sample from The Netherlands (N = 1599; aged 16–84 at the start), the current research focuses on human values (an important aspect of personality), following the same individuals for 12 years. We distinguish four generations, Silent-generation, Baby-boomers, Generation-X and Millennials. We found clear differences across generations in human values, with Millennials, e.g., valuing hedonism more than all other generations. Furthermore, value change over time was mainly evident in Millennials. Some values (achievement and conformity) were stable within individuals and between generations. Change over time across most values occurred mainly in Millennials, but not for all values. Some values were stable in adults (e.g., hedonism, conformity) while other values still increased (e.g., security, self-direction) or decreased (e.g., power, stimulation) in importance. In adults older than Millennials change decreased and change was absent in the oldest generation. Hence, age differences in values seem both due to generation, as well as internal change, although the latter mainly in young adults. These value changes over time may have implications for developments in societal values in the long run.
The predictive value of eosinophil levels on no-reflow in patients with STEMI following PCI: a retrospective cohort study
Authors: Mo De-Gang , Wang Chun-Song , Liu Jia-Hui , Li Tai 
Published: October 2022

AbstractIn patients with acute ST-elevation myocardial infarction (STEMI), it is essential to restore myocardial perfusion as soon as possible. However, a considerable proportion of patients have no-reflow. No-reflow increases the risk of major adverse cardiac events and even death. The role of blood eosinophil count in predicting no-reflow in STEMI patients has not been determined, particularly after primary percutaneous coronary intervention (pPCI). The present study aimed to evaluate the predictive value of eosinophil counts for no-reflow in patients with STEMI who underwent pPCI. A total of 674 STEMI patients who underwent pPCI were enrolled. The subjects were divided into two groups according to eosinophil counts for primary analysis and with or without T2DM for secondary analysis. Logistic regression analysis was used to determine whether eosinophil count was an independent predictor of no-reflow in the entire cohort, and subgroup and receiver operating characteristic (ROC) curves were explored to evaluate its predictive value. DeLong’s test was used to compare the area under curves of the three ROC curves. The low eosinophil count was an independent predictor for no-reflow in whole cohort (adjusted OR: 2.012, 95% CI 1.242–3.259, p = 0.004) and in patients with T2DM (adjusted OR: 4.312, 95% CI 1.878–9.900, p = 0.001). In patients without T2DM, hemoglobin, but not low eosinophil count, was an independent predictor of no-reflow. The results of the ROC curve analysis revealed that a low eosinophil count had moderate predictive efficiency for predicting no-reflow in patients with T2DM, and the power was superior to all populations and patients without T2DM. Our data suggest that decreased eosinophil count was an independent risk factor for no-reflow in patients with STEMI who underwent pPCI, especially in T2DM patients, which provides guidance for clinicians to identify patients at a higher risk of developing no-reflow and lowering their risk.
Predicting radiocephalic arteriovenous fistula success with machine learning
Authors: Heindel Patrick , Dey Tanujit , Feliz Jessica D. , Hentschel Dirk M. , Bhatt Deepak L. , Al-Omran Mohammed , Belkin Michael , Ozaki C. Keith , Hussain Mohamad A. 
Published: October 2022

AbstractAfter creation of a new arteriovenous fistula (AVF), assessment of readiness for use is an important clinical task. Accurate prediction of successful use is challenging, and augmentation of the physical exam with ultrasound has become routine. Herein, we propose a point-of-care tool based on machine learning to enhance prediction of successful unassisted radiocephalic arteriovenous fistula (AVF) use. Our analysis includes pooled patient-level data from 704 patients undergoing new radiocephalic AVF creation, eligible for hemodialysis, and enrolled in the 2014–2019 international multicenter PATENCY-1 or PATENCY-2 randomized controlled trials. The primary outcome being predicted is successful unassisted AVF use within 1-year, defined as 2-needle cannulation for hemodialysis for ≥90 days without preceding intervention. Logistic, penalized logistic (lasso and elastic net), decision tree, random forest, and boosted tree classification models were built with a training, tuning, and testing paradigm using a combination of baseline clinical characteristics and 4–6 week ultrasound parameters. Performance assessment includes receiver operating characteristic curves, precision-recall curves, calibration plots, and decision curves. All modeling approaches except the decision tree have similar discrimination performance and comparable net-benefit (area under the ROC curve 0.78–0.81, accuracy 69.1–73.6%). Model performance is superior to Kidney Disease Outcome Quality Initiative and University of Alabama at Birmingham ultrasound threshold criteria. The lasso model is presented as the final model due to its parsimony, retaining only 3 covariates: larger outflow vein diameter, higher flow volume, and absence of >50% luminal stenosis. A point-of-care online calculator is deployed to facilitate AVF assessment in the clinic.