bluuebunny/crossref_metadata_2025_split huggingface dataset:
Association of prediabetes with death and diabetic complications in older adults: the pros and cons of active screening for prediabetes
Authors: Choi Giwoong , Yoon Hojun , Choi Hyun Ho , Ha Kyoung Hwa , Kim Dae Jung 
Published: May 2022

Abstract

Background
active screening can improve health outcomes for people with prediabetes. However, its efficacy in older adults remains uncertain.

Objective
the study aimed to analyse the progression from prediabetes to diabetes in older adults, including associated complications and mortality rates, to determine the benefits of active screening.

Design
retrospective cohort study.

Setting
Korean National Health Insurance Service claims database.

Subjects
a total of 36,946 adults aged ≥65 years who underwent national health examinations from 2006 to 2008.

Methods
follow-up was until 31 December 2015. Cox’s proportional hazards models estimated hazard ratios (HRs) and 95% confidence intervals (CIs) for death and diabetic complications.

Results
over a median follow-up of 8.2 years, 19.3% of older adults with prediabetes progressed to diabetes. Compared with normoglycaemic adults, the multivariable-adjusted HRs (95% CI) for major adverse cardiovascular events were 1.01 (0.95–1.07), 1.08 (0.95–1.23), 1.14 (1.05–1.23) and 1.50 (1.35–1.68) in adults with prediabetes, newly diagnosed diabetes, diabetes not on insulin and diabetes on insulin, respectively. The corresponding HRs (95% CI) for diabetic retinopathy risk were 1.28 (1.15–1.43), 3.16 (2.71–3.69), 6.58 (6.02–7.19) and 9.17 (8.21–10.24). Diabetic nephropathy risk also significantly increased.

Conclusions
progression from prediabetes to diabetes is an important concern among older adults. Prediabetes is associated with the risk of microvascular complications, but not cardiovascular complications and mortality. Therefore, active regular screening for prediabetes is necessary to prevent microvascular complications.
Apple rootstocks affect functional leaf traits with consequential effects on carbon isotope composition and vegetative vigour
Authors: Casagrande Biasuz Erica , Kalcsits Lee A 
Published: May 2022

AbstractComposite trees combine optimal traits from both the rootstock and the scion. Dwarfing rootstocks are commonly used to reduce shoot vigour and improve fruit quality and productivity. Although growth habits of different rootstocks have been clearly described, the underlying physiological traits affecting scion vigour are not well understood. Plant water status and stem water potential are strongly influenced by water supply and demand through the soil–plant–atmosphere continuum. In the scion, stomata regulate water loss and are essential to prevent hydraulic failure. Stomatal conductance influences leaf carbon isotope composition. Combined, the effects of reduced stomatal conductance and, consequently, carbon fixation may affect tree growth. These differences could also correspond to differences in scion vigour controlled by rootstock genotype. Here, vegetative growth, gas exchange, stem water potential and leaf δ13C were compared to determine how rootstocks affect scion water relations and whether these differences correspond to shoot vigour. There was a range in vigour among rootstocks by almost 2-fold. Net leaf carbon assimilation rates were lower in rootstocks with lower vigour. Rootstock vigour was closely associated with leaf gas exchange and stem water potential in the scion and was reflected in leaf δ13C signatures. Dwarfing was strongly affected by changes to plant water status induced by rootstock genotype and these changes are distinguishable when measuring leaf and stem δ13C composition. These observations indicate that scion water relations and leaf carbon isotope discrimination were affected by rootstock genotype. These results have implications for better understanding dwarfing mechanisms in apple rootstocks and the relationship with water-use traits.
Digital Methods of Delivering Education and Training in Neuropsychology
Authors: Van Patten Ryan , Bellone John A , Schmitt Taylor R , Gaynor Leslie , Block Cady 
Published: May 2022

AbstractObjectiveHigh quality and accessible education is crucial to secure the future of neuropsychology. Recent and ongoing advancements include the creation of a taxonomy of education and training, progress in delineating relevant competencies, and an update to the Houston Conference Guidelines. Meanwhile, there is also potential for growth in digital methods of delivering education such as podcasts, webinars, and social media platforms. This paper aims to review the evidence for these three methods and to provide recommendations for implementing them across the continuum of training in neuropsychology, from graduate school through postdoctoral fellowship and continuing education.MethodWe reviewed the literature on podcasts, webinars, and social media platforms as educational tools that may be applied to improve learning of brain–behavior concepts and clinical skills. Specifically, we (a) introduce and describe each method, (b) discuss benefits and drawbacks, (c) review the literature on satisfaction and learning outcomes, and (d) provide suggestions for implementation in neuropsychology training programs.ResultsPodcasts and webinars have strong evidence for satisfaction and moderate support for improving learning outcomes, with the learning outcome literature suggesting equivalency between podcasts/webinars and traditional methods of education. Social media platforms are associated with high satisfaction, but learning outcome data are scarce.ConclusionsEvidence for podcasts and webinars is sufficient to support implementation into neuropsychology education, whereas social media platforms should be used more cautiously. We provide recommendations of select instances in which trainees and educators can use these methods to improve education in neuropsychology.
BETA: a comprehensive benchmark for computational drug–target prediction
Authors: Zong Nansu , Li Ning , Wen Andrew , Ngo Victoria , Yu Yue , Huang Ming , Chowdhury Shaika , Jiang Chao , Fu Sunyang , Weinshilboum Richard , Jiang Guoqian , Hunter Lawrence , Liu Hongfang 
Published: May 2022

Abstract
Internal validation is the most popular evaluation strategy used for drug–target predictive models. The simple random shuffling in the cross-validation, however, is not always ideal to handle large, diverse and copious datasets as it could potentially introduce bias. Hence, these predictive models cannot be comprehensively evaluated to provide insight into their general performance on a variety of use-cases (e.g. permutations of different levels of connectiveness and categories in drug and target space, as well as validations based on different data sources). In this work, we introduce a benchmark, BETA, that aims to address this gap by (i) providing an extensive multipartite network consisting of 0.97 million biomedical concepts and 8.5 million associations, in addition to 62 million drug–drug and protein–protein similarities and (ii) presenting evaluation strategies that reflect seven cases (i.e. general, screening with different connectivity, target and drug screening based on categories, searching for specific drugs and targets and drug repurposing for specific diseases), a total of seven Tests (consisting of 344 Tasks in total) across multiple sampling and validation strategies. Six state-of-the-art methods covering two broad input data types (chemical structure- and gene sequence-based and network-based) were tested across all the developed Tasks. The best-worst performing cases have been analyzed to demonstrate the ability of the proposed benchmark to identify limitations of the tested methods for running over the benchmark tasks. The results highlight BETA as a benchmark in the selection of computational strategies for drug repurposing and target discovery.
QuasiSeq: profiling viral quasispecies via self-tuning spectral clustering with PacBio long sequencing reads
Authors: Jiao Xiaoli , Imamichi Hiromi , Sherman Brad T , Nahar Rishub , Dewar Robin L , Lane H Clifford , Imamichi Tomozumi , Chang Weizhong 
Published: May 2022

AbstractMotivationThe existence of quasispecies in the viral population causes difficulties for disease prevention and treatment. High-throughput sequencing provides opportunity to determine rare quasispecies and long sequencing reads covering full genomes reduce quasispecies determination to a clustering problem. The challenge is high similarity of quasispecies and high error rate of long sequencing reads.ResultsWe developed QuasiSeq using a novel signature-based self-tuning clustering method, SigClust, to profile viral mixtures with high accuracy and sensitivity. QuasiSeq can correctly identify quasispecies even using low-quality sequencing reads (accuracy &lt;80%) and produce quasispecies sequences with high accuracy (≥99.55%). Using high-quality circular consensus sequencing reads, QuasiSeq can produce quasispecies sequences with 100% accuracy. QuasiSeq has higher sensitivity and specificity than similar published software. Moreover, the requirement of the computational resource can be controlled by the size of the signature, which makes it possible to handle big sequencing data for rare quasispecies discovery. Furthermore, parallel computation is implemented to process the clusters and further reduce the runtime. Finally, we developed a web interface for the QuasiSeq workflow with simple parameter settings based on the quality of sequencing data, making it easy to use for users without advanced data science skills.Availability and implementationQuasiSeq is open source and freely available at https://github.com/LHRI-Bioinformatics/QuasiSeq. The current release (v1.0.0) is archived and available at https://zenodo.org/badge/latestdoi/340494542.Supplementary informationSupplementary data are available at Bioinformatics online.
The Olfactory Landscape Concept: A Key Source of Past, Present, and Future Information Driving Animal Movement and Decision-making
Authors: Finnerty Patrick B , McArthur Clare , Banks Peter , Price Catherine , Shrader Adrian M 
Published: May 2022

Abstract
Odor is everywhere, emitted across the landscape from predators, prey, decaying carcasses, conspecifics, vegetation, surface water, and smoke. Many animals exploit odor to find food, avoid threats, and attract or judge potential mates. Here, we focus on odor in terrestrial ecosystems to introduce the concept of an olfactory landscape: real-time dynamic olfactory contours reflecting the patchy distribution of resources and risks, providing a key source of information used by many animals in their movement and decision-making. Incorporating the olfactory landscape into current frameworks of movement ecology and animal behavior will provide a mechanistic link to help answer significant questions about where, why, and when many animals move, and how they do so efficiently in both space and time. By understanding how animals use the olfactory landscape to make crucial decisions affecting their fitness, we can then manipulate the landscape to modify ecological interactions and, ultimately, ecosystem consequences of these interactions.
Study on Chemotypic Variability ofColeus forskohliiBriq., Samples Collected from Different Phytogeographical Locations of India and Evaluation of Its Inhibitory Potential
Authors: Shukla Pushpendra Kumar , Misra Ankita , Srivastava Akanksha , Kumar Manish , Srivastava Sharad 
Published: May 2022

AbstractColeus forskohlii Briq. is an important medicinal herb, endowed with a wide range of medicinal properties against the variety of ailments. Seven germplasm of C. forskohlii collected from different phyto-geographical locations and identification of elite chemotype was performed with the help of high performance thin layer chromatography. Data of soil analysis correlated with the bioactive compounds and inhibitory potential of the species. Quantification of forskolin and its isomer (iso-forskolin) content were done in all the collected samples of C. forskohlii, which revealed a wide range of variations, varying from 1.15–0.004% and 0.0091 to 0.1077% per dry weights basic, respectively. Variation in the bioactive content may be due to the soil nature and environmental factors. Soil analysis of collected samples demonstrated that there is significant variation in available NPK and micronutrient content and may be reasoned for existing chemotypic variability. In vitro biological activity (antioxidant and antidiabetic) analyses were performed, which reveals that germplasms have a high amount of forskolin and iso-forskolin, both show more activity. The aim of this study was to elucidate the effect of elicitors and precursors on the production of bioactive compounds and identification of best elite germplasm among the populations, to provide basic lead to the industry for commercial exploitability including its location-specific commercial cultivation.
Antibody Response of Heterologous vs Homologous Messenger RNA Vaccine Boosters Against the Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant: Interim Results from the PRIBIVAC Study, a Randomized Clinical Trial
Authors: Poh Xuan Ying , Tan Chee Wah , Lee I Russel , Chavatte Jean-Marc , Fong Siew-Wai , Prince Tessa , Hartley Catherine , Yeoh Aileen Y Y , Rao Suma , Chia Po Ying , Ong Sean W X , Lee Tau Hong , Sadarangani Sapna P , Lin Ray J H , Lim Clarissa , Teo Jefanie , Lim Daniel R X , Chia Wanni , Hiscox Julian A , Ng Lisa F P , Ren Ee Chee , Lin Raymond T P , Renia Laurent , Lye David Chien , Wang Lin-Fa , Young Barnaby E 
Published: May 2022

Abstract

Background
Waning antibody levels post-vaccination and the emergence of variants of concern (VOCs) capable of evading protective immunity have raised the need for booster vaccinations. However, which combination of coronavirus disease 2019 (COVID-19) vaccines offers the strongest immune response against the Omicron variant is unknown.

Methods
This randomized, participant-blinded, controlled trial assessed the reactogenicity and immunogenicity of different COVID-19 vaccine booster combinations. A total of 100 BNT162b2-vaccinated individuals were enrolled and randomized 1:1 to either homologous (BNT162b2 + BNT162b2 + BNT162b2; “BBB”) or heterologous messenger RNA (mRNA) (BNT162b2 + BNT162b2 + mRNA-1273; “BBM”) booster vaccine. The primary end point was the level of neutralizing antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) wild-type and VOCs at day 28.

Results
A total of 51 participants were allocated to BBB and 49 to BBM; 50 and 48, respectively, were analyzed for safety and immunogenicity outcomes. At day 28 post-boost, mean SARS-CoV-2 spike antibody titers were lower with BBB (22 382 IU/mL; 95% confidence interval [CI], 18 210 to 27 517) vs BBM (29 751 IU/mL; 95% CI, 25 281 to 35 011; P = .034) as was the median level of neutralizing antibodies: BBB 99.0% (interquartile range [IQR], 97.9% to 99.3%) vs BBM 99.3% (IQR, 98.8% to 99.5%; P = .021). On subgroup analysis, significant higher mean spike antibody titer, median surrogate neutralizing antibody level against all VOCs, and live Omicron neutralization titer were observed only in older adults receiving BBM. Both vaccines were well tolerated.

Conclusions
Heterologous mRNA-1273 booster vaccination compared with homologous BNT123b2 induced a stronger neutralizing response against the Omicron variant in older individuals.

Clinical Trials Registration
NCT05142319.
The impact of COVID-19 pandemic on the treatment of patients with ST-segment elevation myocardial infarction: a single center experience
Authors: Mitsis A , Eftychiou C , Eteokleous N , Zittis Y , Papadopoulos K , Avraamides P 
Published: May 2022

Abstract

Funding Acknowledgements
Type of funding sources: None.

Background
COVID-19 pandemic created big pressure in healthcare systems and had significant impact with longer delays to treatment for patients with ST elevation acute myocardial infarction (STEMI).

Purpose
To evaluate the impact of COVID-19 pandemic on the treatment delays in STEMI patients treated by primary percutaneous coronary intervention (PPCI) in a general hospital in Cyprus.

Methods
Prospective analysis of all consecutive patients that activated the PPCI service from 01.11.2020 to 30.09.2021, during the second wave of the pandemic in Cyprus. Main outcomes are the following quality indicators: the percentage of patients who received treatment within 12 hours (Total Ischaemic Time - TIT), the mean reperfusion time (time from STEMI diagnosis to wire crossing) based to the initial healthcare facility presentation (pPCI centre and non pPCI centre) and 30-days mortality.

Results
Among the 270 activations of the primary angioplasty service during the above period, 228 were STEMI cases. Of these, 207 patients were treated with pPCI, 4 cases referred for emergency CABG, 10 cases treated conservatively (of them 6 cases of Takotsubo cardiomyopathy, 2 SCAD cases and 2 MINOCA cases) and 7 were false positive activations. For the patients treated with pPCI, the mean TIT was 5.8 hours and the overall percentage of patients who received treatment within 12 hours was 90%. The mean reperfusion time (mean time from STEMI diagnosis to wire crossing) was 110 minutes, while the median reperfusion time was 97 minutes. Patients presented directly to our PPCI centre (n = 94, 43%) had a mean reperfusion time of 80 minutes. Those admitted from other peripheral non-PPCI hospitals (n= 130, 57%), had a mean reperfusion time of 134 minutes (80 vs 134 minutes, p-value ≤ 0.001). In particular, patients presented in the reference hospital for COVID-19 in [name of country], showed the longest reperfusion times (DTB = 154 minutes, p-value ≤ 0.001). Cumulative 30-day mortality was 8.8%. The rate of 30-day mortality increased with longer reperfusion time (0.4 vs 1.8 vs 2.7 vs 3.2, p-value= 0.132).

Conclusions
The COVID-19 pandemic had significant impact on the treatment of patients with STEMI, with a longer delay to treatment, especially among patients who were transferred from the reference hospital for COVID-19 in Cyprus, which may have contributed to increased mortality during the pandemic.
Prognostic value of cardiac troponin in critically ill COVID-19 patients
Authors: Lopes V , Baptista J P , Moreira N , Goncalves L 
Published: May 2022

Abstract

Funding Acknowledgements
Type of funding sources: None.

Background/Introduction
Among patients with COVID-19, there is a high prevalence of cardiovascular disease and myocardial injury from the infection, especially in critically ill patients.

Purpose
This study sought to investigate the relationship between elevated admission high-sensitive troponin I in COVID-19 patients admitted to an intensive care unit (ICU) and prognosis.

Methods
We retrospectively analyzed patients consecutively admitted to an ICU with COVID-19, with a median follow-up of 10 months. Patients who were diagnosed with acute coronary syndrome, either died or were discharged within 48 hours of admission, and who did not have a cardiac troponin measurement in the first 48 hours, were excluded.
Two groups were identified, with normal troponin and with elevated troponin. Groups were compared, with special interest regarding in-hospital mortality, duration of mechanical ventilation, in-hospital diagnosis of heart failure, and length of hospitalization. Global mortality (in-hospital and during follow up) and re-hospitalization were compared. To compare survival, a Kaplan-Meier curve with log rank test was performed.

Results
From a total of 219 patients, after applying the exclusion criteria, 100 patients were included in the analysis, mean age was 62.9 ±12.5 years, and 74% were male.
Troponin was normal in 77% of patients and elevated in 23%. Median troponin was 11 (IQR=26) ng/L (reference range &lt;34 ng/L).
Patients with elevated troponin were older (66.5 ±12.0 vs 61.6 ±12.5 years, p=0.036). Gender, comorbidities, vasopressor use, and APACHE II score were similar among groups. Patients with elevated troponin presented a higher ICU mortality (16.9% vs 47.8%, p=0.002) and higher global mortality (22.1% vs 47.8%, p=0.016). Re-hospitalization rates, ICU length of stay and duration of mechanical ventilation were similar among groups.
In multivariate analysis, after adjustment for age and APACHE II score, an elevated troponin remained an independent predictor of ICU mortality (OR=3.40, 95% CI 1.08-10.4, p=0.036), but not an independent predictor of global mortality (OR=2.75, 95% CI 0.86-8.80, p=0.087).
Kaplan-Meier analysis (Figures 1 and 2) showed that patients with elevated troponin had higher ICU (p=0.008) and global mortality (p=0.008) when compared to patients with normal admission troponin.

Conclusion(s)
The present study shows that elevated high-sensitive cardiac troponin I at admission predicts ICU and global mortality in critically ill COVID-19 patients. Cardiac troponin is as easy-to-use tool that may help to identify patients who benefit from tighter monitoring both during hospitalization and after discharge.
Regular heart rhythm restoration after a period of asystole: modeling in experimental cardiology
Authors: Germanova O , Germanov AV , Fedorina MA , Galati G , Germanov VA 
Published: May 2022

Abstract

Funding Acknowledgements
Type of funding sources: None.
Regular heart rhythm restoration after a period of asystole: modeling in experimental cardiology

Purpose
To study the arterial hemodynamics during the regular heart rhythm restoration after a period of asystole using the original device for modeling of intra-arterial circulation.

Materials and methods
We used the device for modeling of intra-arterial circulation made by us (Document of invention № RU 202780 U1). The main part of the device is rotameter glass tube - a prototype of human arterial vessel. Electric pump with various modes of work was connected into the closed system with rotameter by flexible silicone tubes. Inside the closed system we introduced an aqueous solution of glycerin diluted to have the same viscosity as the human blood. As indicators for studying the intra-arterial hemodynamics we used intravascular piezoelectric crystal pressure sensor connected to an oscilloscope, 5 mm long silk thread alternately installed inside the tube, and a dye - clerical ink.

Results
With the electric pump work modes, we were able to imitate the regular heart rhythm (RR) restoration after a period of asystole inside the device for modeling of intra-arterial circulation. We observed the speed of fluid increased in comparison with the RR with the pendency: if longer pause of asystole was than more speed increased. We observed the appearance of reflected, stand waves on the walls of rotameter during the spread of the pulse wave after the long asystole pause. We alternatively put the plastic diaphragm inside the rotameter with internal lumen stenosis of 70% with symmetrical and asymmetrical hole. The speed with a RR was 3.24 m/s, after the pause of asystole 1 s speed was 4.08 m/s, after the pause 2 s speed was 7.36 m/s, after the pause 3 s speed was 9.22 m/s. The pressure measured by piezoelectrical probe increased proportionally to the speed.

Conclusion
Intense mechanical effect of the pressure waves after the long period of asystole can cause the additional trauma of intima of arterial vessels that can lead to non-stability of atherosclerotic plaques, stimulating of endothelial dysfunction and as a result of atherosclerosis progression with further complications. Changes in hemodynamics we characterized by proposed concept of "hydraulic shock".