bluuebunny/crossref_metadata_2025_split huggingface dataset:
Temporal trends in the quality of deceased donor kidneys and kidney transplant outcomes in Europe: an analysis by the ERA-EDTA Registry
Authors: Pippias Maria , Stel Vianda S , Arnol Miha , Bemelman Frederike , Berger Stefan P , Buturovic Ponikvar Jadranka Buturovic , Kramar Reinhard , Magaz Ángela , Nordio Maurizio , Peters-Sengers Hessel , Reisæter Anna Varberg , Sørensen Søren S , Massy Ziad A , Jager Kitty J 
Published: April 2021

Abstract

Background
We investigated 10-year trends in deceased donor kidney quality expressed as the kidney donor risk index (KDRI) and subsequent effects on survival outcomes in a European transplant population.

Methods
Time trends in the crude and standardized KDRI between 2005 and 2015 by recipient age, sex, diabetic status and country were examined in 24 177 adult kidney transplant recipients in seven European countries. We determined 5-year patient and graft survival probabilities and the risk of death and graft loss by transplant cohort (Cohort 1: 2005–06, Cohort 2: 2007–08, Cohort 3: 2009–10) and KDRI quintile.

Results
The median crude KDRI increased by 1.3% annually, from 1.31 [interquartile range (IQR) 1.08–1.63] in 2005 to 1.47 (IQR 1.16–1.90) in 2015. This increase, i.e. lower kidney quality, was driven predominantly by increases in donor age, hypertension and donation after circulatory death. With time, the gap between the median standardized KDRI in the youngest (18–44 years) and oldest (&gt;65 years) recipients widened. There was no difference in the median standardized KDRI by recipient sex. The median standardized KDRI was highest in Austria, the Netherlands and the Basque Country (Spain). Within each transplant cohort, the 5-year patient and graft survival probability were higher for the lowest KDRIs. There was no difference in the patient and graft survival outcomes across transplant cohorts, however, over time the survival probabilities for the highest KDRIs improved.

Conclusions
The overall quality of deceased donor kidneys transplanted between 2005 and 2015 has decreased and varies between age groups and countries. Overall patient and graft outcomes remain unchanged.
In vivo FRET–FLIM reveals ER-specific increases in the ABA level upon environmental stresses
Authors: Zhou Yeling , Wang Yuzhu , Li Jingwen , Liang Jiansheng 
Published: April 2021

Abstract
Plant hormone abscisic acid (ABA) is essential for regulating plant growth and various stress responses. ABA-mediated signaling depends on local ABA levels rather than the overall cellular ABA concentration. While cellular concentration of ABA can be detected using Förster resonance energy transfer (FRET)-based ABA probes, direct imaging of subcellular ABA levels remains unsolved. Here, we modified the previously reported ABAleon2.1 and generated a new ABA sensor, named ABAleon2.1_Tao3. Via transient expression in tobacco (Nicotiana tabacum) protoplasts, we targeted ABAleon2.1_Tao3s to the endoplasmic reticulum (ER) membrane with the ABA sensing unit facing the cytosol and the ER, respectively, through a nanobody–epitope-mediated protein interaction. Combining FRET with fluorescence lifetime imaging microscopy, ABA-triggered-specific increases in the fluorescence lifetime of the donor mTurquoise in the ABAleon2.1_Tao3 were detected in both transient assays and stably transformed Arabidopsis plants. In tobacco protoplasts, ER membrane-targeted ABAleon2.1_Tao3s showed a generally higher basal level of ABA in the ER than that in the cytosol and ER-specific alterations in the level of ABA upon environmental cues. In ABAleon2.1_Tao3-transformed Arabidopsis roots, mannitol triggered increases in cytosolic ABA in the division zone and increases in ER ABA in the elongation and maturation zone within 1 h after treatment, both of which were abolished in the bg1-2 mutant, suggesting the requirement for BG1 in osmotic stress-triggered early ABA induction in Arabidopsis roots. These data demonstrate that ABAleon2.1_Tao3s can be used to monitor ABA levels in the cytosol and the ER, providing key information on stress-induced changes in the level of ABA in different subcellular compartments.
Herpes zoster following BNT162b2 mRNA COVID-19 vaccination in patients with autoimmune inflammatory rheumatic diseases: a case series
Authors: Furer Victoria , Zisman Devy , Kibari Adi , Rimar Doron , Paran Yael , Elkayam Ori 
Published: April 2021

Abstract

Objectives
As global vaccination campaigns against COVID-19 disease commence, vaccine safety needs to be closely assessed. The safety profile of mRNA-based vaccines in patients with autoimmune inflammatory rheumatic diseases (AIIRD) is unknown. The objective of this report is to raise awareness of reactivation of herpes zoster (HZ) following the BNT162b2 mRNA vaccination in patients with AIIRD.

Methods
The safety of the BNT162b2 mRNA vaccination was assessed in an observational study monitoring post-vaccination adverse effects in patients with AIIRD (n = 491) and controls (n = 99), conducted in two rheumatology departments in Israel.

Results
The prevalence of HZ was 1.2% (n = 6) in patients with AIIRD compared with none in controls. Six female patients aged 49 ± 11 years with stable AIIRD: RA (n = 4), Sjogren’s syndrome (n = 1), and undifferentiated connective disease (n = 1), developed the first in a lifetime event of HZ within a short time after the first vaccine dose in five cases and after the second vaccine dose in one case. In the majority of cases, HZ infection was mild, except a case of HZ ophthalmicus, without corneal involvement, in an RA patient treated with tofacitinib. There were no cases of disseminated HZ disease or postherpetic neuralgia. All but one patient received antiviral treatment with a resolution of HZ-related symptoms up to 6 weeks. Five patients completed the second vaccine dose without other adverse effects.

Conclusion
Epidemiologic studies on the safety of the mRNA-based COVID-19 vaccines in patients with AIIRD are needed to clarify the association between the BNT162b2 mRNA vaccination and reactivation of zoster.
Sleep symptomatology is associated with greater subjective cognitive concerns: findings from the community-based Healthy Brain Project
Authors: Nicolazzo Jessica , Xu Katharine , Lavale Alexandra , Buckley Rachel , Yassi Nawaf , Hamilton Garun S , Maruff Paul , Baril Andree-Ann , Lim Yen Ying , Pase Matthew P 
Published: April 2021

AbstractStudy ObjectivesTo examine if sleep symptomatology was associated with subjective cognitive concerns or objective cognitive performance in a dementia-free community-based sample.MethodsA total of 1,421 middle-aged participants (mean ± standard deviation = 57 ± 7; 77% female) from the Healthy Brain Project completed the Pittsburgh Sleep Quality Index, Insomnia Severity Index, and Epworth Sleepiness Scale to measure sleep quality, insomnia symptom severity, and daytime sleepiness, respectively. Participants were classified as having no sleep symptomatology (normal scores on each sleep measure), moderate sleep symptomatology (abnormal scores on one sleep measure), or high sleep symptomatology (abnormal scores on at least two sleep measures), using established cutoff values. Analysis of covariance was used to compare objective cognitive function (Cogstate Brief Battery) and subjective cognitive concerns (Modified Cognitive Function Instrument) across groups.ResultsFollowing adjustments for age, sex, education, mood, and vascular risk factors, persons classified as having high sleep symptomatology, versus none, displayed more subjective cognitive concerns (d = 0.24) but no differences in objective cognitive performance (d = 0.00–0.18). Subjective cognitive concerns modified the association between sleep symptomatology and psychomotor function. The strength of the relationship between high sleep symptomatology (versus none) and psychomotor function was significantly greater in persons with high as compared with low cognitive concerns (β ± SE = −0.37 ± 0.16; p = 0.02).ConclusionsMore severe sleep symptomatology was associated with greater subjective cognitive concerns. Persons reporting high levels of sleep symptomatology may be more likely to display poorer objective cognitive function in the presence of subjective cognitive concerns.
Patterns of self-monitoring technology use and weight loss in people with overweight or obesity
Authors: Robertson Michael C , Raber Margaret , Liao Yue , Wu Ivan , Parker Nathan , Gatus Leticia , Le Thuan , Durand Casey P , Basen-Engquist Karen M 
Published: April 2021

AbstractMobile applications and paired devices allow individuals to self-monitor physical activity, dietary intake, and weight fluctuation concurrently. However, little is known regarding patterns of use of these self-monitoring technologies over time and their implications for weight loss. The objectives of this study were to identify distinct patterns of self-monitoring technology use and to investigate the associations between these patterns and weight change. We analyzed data from a 6-month weight loss intervention for school district employees with overweight or obesity (N = 225). We performed repeated measures latent profile analysis (RMLPA) to identify common patterns of self-monitoring technology use and used multiple linear regression to evaluate the relationship between self-monitoring technology use and weight change. RMLPA revealed four distinct profiles: minimal users (n = 65, 29% of sample), activity trackers (n = 124, 55%), dedicated all-around users (n = 25, 11%), and dedicated all-around users with exceptional food logging (n = 11, 5%). The dedicated all-around users with exceptional food logging lost the most weight (X2[1,225] = 5.27, p = .0217). Multiple linear regression revealed that, adjusting for covariates, only percentage of days of wireless weight scale use (B = −0.05, t(212) = −3.79, p &lt; .001) was independently associated with weight loss. We identified distinct patterns in mHealth self-monitoring technology use for tracking weight loss behaviors. Self-monitoring of weight was most consistently linked to weight loss, while exceptional food logging characterized the group with the greatest weight loss. Weight loss interventions should promote self-monitoring of weight and consider encouraging food logging to individuals who have demonstrated consistent use of self-monitoring technologies.
Enhancing behavioral intervention science: using community-based participatory research principles with the multiphase optimization strategy
Authors: Windsor Liliane Cambraia , Benoit Ellen , Pinto Rogério M , Gwadz Marya , Thompson Warren 
Published: April 2021

Abstract
Innovative methodological frameworks are needed in intervention science to increase efficiency, potency, and community adoption of behavioral health interventions, as it currently takes 17 years and millions of dollars to test and disseminate interventions. The multiphase optimization strategy (MOST) for developing behavioral interventions was designed to optimize efficiency, efficacy, and sustainability, while community-based participatory research (CBPR) engages community members in all research steps. Classical approaches for developing behavioral interventions include testing against control interventions in randomized controlled trials. MOST adds an optimization phase to assess performance of individual intervention components and their interactions on outcomes. This information is used to engineer interventions that meet specific optimization criteria focused on effectiveness, cost, or time. Combining CBPR and MOST facilitates development of behavioral interventions that effectively address complex health challenges, are acceptable to communities, and sustainable by maximizing resources, building community capacity and acceptance. Herein, we present a case study to illustrate the value of combining MOST and CBPR to optimize a multilevel intervention for reducing substance misuse among formerly incarcerated men, for under $250 per person. This integration merged experiential and cutting-edge scientific knowledge and methods, built community capacity, and promoted the development of efficient interventions. Integrating CBPR and MOST principles yielded a framework of intervention development/testing that is more efficient, faster, cheaper, and rigorous than traditional stage models. Combining MOST and CBPR addressed significant intervention science gaps and speeds up testing and implementation of interventions.
The small (14 Fr) percutaneous catheter (P-CAT) versus large (28–32 Fr) open chest tube for traumatic hemothorax: A multicenter randomized clinical trial
Authors: Kulvatunyou Narong , Bauman Zachary M. , Zein Edine Savo Bou , de Moya Marc , Krause Casandra , Mukherjee Kaushik , Gries Lynn , Tang Andrew L. , Joseph Bellal , Rhee Peter 
Published: April 2021

INTRODUCTION
The traditional treatment of traumatic hemothorax (HTX) has been an insertion of a large-bore 36- to 40-Fr chest tube. Our previous single-center randomized controlled trial (RCT) had shown that 14-Fr percutaneous catheters (PCs) (pigtail) were equally as effective as chest tube. We performed a multicenter RCT, hypothesizing that PCs are as equally effective as chest tubes in the management of patients with traumatic HTX (NCT03546764).

METHODS
We performed a multi-institution prospective RCT comparing 14-Fr PCs with 28- to 32-Fr chest tubes in the management of patients with traumatic HTX from July 2015 to September 2020. We excluded patients who were in extremis and required emergent tube placement and those who refused to participate. The primary outcome was failure rate, defined as a retained HTX requiring a second intervention. Secondary outcomes included daily drainage output, tube days, intensive care unit and hospital length of stay, and insertion perception experience (IPE) score on a scale of 1 to 5 (1, tolerable experience; 5, worst experience). Unpaired Student’s t test, χ2, and Wilcoxon rank sum test were used with significance set at p < 0.05.

RESULTS
After exclusion, 119 patients participated in the trial, 56 randomized to PCs and 63 to chest tubes. Baseline characteristics between the two groups were similar. The primary outcome, failure rate, was similar between the two groups (11% PCs vs. 13% chest tubes, p = 0.74). All other secondary outcomes were also similar, except PC patients reported lower IPE scores (median, 1: “I can tolerate it”; interquartile range, 1–2) than chest tube patients (median, 3: “It was a bad experience”; interquartile range, 2–5; p < 0.001).

CONCLUSION
Small caliber 14-Fr PCs are equally as effective as 28- to 32-Fr chest tubes in their ability to drain traumatic HTX with no difference in complications. Patients reported better IPE scores with PCs over chest tubes, suggesting that PCs are better tolerated.

LEVEL OF EVIDENCE
Therapeutic, level II.
Lung proteomic biomarkers associated with chronic obstructive pulmonary disease
Authors: Zhang Yu-Hang , Hoopmann Michael R. , Castaldi Peter J. , Simonsen Kirsten A. , Midha Mukul K. , Cho Michael H. , Criner Gerard J. , Bueno Raphael , Liu Jiangyuan , Moritz Robert L. , Silverman Edwin K. 
Published: April 2021

ABSTRACTBackgroundIdentifying protein biomarkers for chronic obstructive pulmonary disease (COPD) has been challenging. Most previous studies have utilized individual proteins or pre-selected protein panels measured in blood samples. Mass spectrometry proteomic studies of lung tissue have been based on small sample sizes.MethodsWe utilized mass spectrometry proteomic approaches to discover protein biomarkers from 150 lung tissue samples representing COPD cases and controls. Top COPD-associated proteins were identified based on multiple linear regression analysis with false discovery rate (FDR) < 0.05. Correlations between pairs of COPD-associated proteins were examined. Machine learning models were also evaluated to identify potential combinations of protein biomarkers related to COPD.ResultsWe identified 4407 proteins passing quality controls. Twenty-five proteins were significantly associated with COPD at FDR < 0.05, including Interleukin 33, Ferritin (light chain and heavy chain), and two proteins related to caveolae (CAV1 and CAVIN1). Multiple previously reported plasma protein biomarkers for COPD were not significantly associated with proteomic analysis of COPD in lung tissue, although RAGE was borderline significant. Eleven pairs of top significant proteins were highly correlated (r > 0.8), including several strongly correlated with RAGE (EHD2 and CAVIN1). Machine learning models using Random Forests with the top 5% of protein biomarkers demonstrated reasonable accuracy (0.766) and AUC (0.702) for COPD prediction.ConclusionsMass spectrometry proteomic analysis of lung tissue is a promising approach for the identification of biomarkers for COPD.
Comparative analysis of SARS-CoV-2 RNA load in wastewater from three different cities of Gujarat, India
Authors: Srivastava Vaibhav , Gupta Shilangi , Patel Arbind Kumar , Joshi Madhvi , Kumar Manish 
Published: April 2021

AbstractThe scientific community has widely supported wastewater monitoring of SARS-CoV-2 due to the early and prolonged excretion of coronavirus in the faecal matter. In the present study, eighteen influent wastewater samples from different wastewater treatment plants and pumping stations (5 samples from Vadodara city, 4 from Gandhinagar, and nine from Ahmedabad city) were collected and analyzed for the occurrence of SARS-CoV-2 RNA in Gujarat province, India. The results showed the highest SARS-CoV-2 genome concentration in Vadodara (3078 copies/ L), followed by Ahmedabad (2968 copies/ L) and Gandhinagar (354 copies/ L). The comparison of genome concentration more or less corresponded to the number of confirmed and active cases in all three cities. The study confirms the potential of the Surveillance of Wastewater for Early Epidemic Prediction (SWEEP) that can be used at a large scale around the globe for better dealing with the pandemic situation.Graphical abstract
Ethnicity-specific alterations of plasma and hepatic lipidomic profiles are related to high NAFLD rate and severity in Hispanic Americans, a pilot study
Authors: Mazi Tagreed A. , Borkowski Kamil , Newman John W. , Fiehn Oliver , Bowlus Christopher L. , Sarkar Souvik , Matsukuma Karen , Ali Mohamed R. , Kieffer Dorothy A. , Wan Yu-Jui Y. , Stanhope Kimber L. , Havel Peter J. , Medici Valentina 
Published: April 2021

AbstractNonalcoholic fatty liver disease (NAFLD) is a progressive condition that includes steatosis (NAFL) and nonalcoholic steatohepatitis (NASH). In the U.S., Hispanics (HIS) are afflicted with NAFLD at a higher rate and severity compared to other ethnicities. To date, the mechanisms underlying this disparity have not been elucidated. In this pilot study, we compared untargeted plasma metabolomic profiles for primary metabolism, complex lipids, choline and related compounds between a group of HIS (n =7) and White Caucasian (CAU, n =8) subjects with obesity and biopsy-characterized NAFL to ethnicity-matched lean healthy controls (n =14 HIS and 8 CAU). We also compared liver and plasma metabolomic profiles in a group of HIS and CAU subjects with obesity and NASH of comparable NAFLD Activity Scores, to BMI-matched NASH-free subjects in both ethnicities. Results highlight signs of metabolic dysregulation observed in HIS, independent of obesity, including higher plasma triglycerides, acylcarnitines, and free fatty acids. With NASH progression, there were ethnicity-related differences in the hepatic profile, including higher free fatty acids and lysophospholipids seen in HIS, suggesting lipotoxicity is involved in the progression of NASH. We also observed greater hepatic triglyceride content, higher plasma triglyceride concentrations and lower hepatic phospholipids with signs of impaired hepatic mitochondrial β-oxidation. These findings provide preliminary evidence indicating ethnicity-related variations that could potentially modulate the risk for progression of NALD to NASH.HighlightsHispanic subjects show signs of metabolic dysregulations independent of obesity.In nonalcoholic fatty liver, plasma metabolomic profiles are differentially altered between ethnicities.In nonalcoholic steatohepatitis, the hepatic lipidomic profiles are differentially altered between ethnicities.In Hispanics, nonalcoholic steatohepatitis shows higher triglycerides and lipotoxic lipids with signs of impaired hepatic mitochondrial β-oxidation.Our results indicate evidence of ethnicity-related variations in the pathogenesis of nonalcoholic fatty liver disease.Graphical Abstract
Electrophysiological measures from human iPSC-derived neurons are associated with schizophrenia clinical status and predict individual cognitive performance
Authors: Page Stephanie Cerceo , Sripathy Srinidhi Rao , Farinelli Federica , Ye Zengyou , Wang Yanhong , Hiler Daniel J , Pattie Elizabeth A , Nguyen Claudia V , Tippani Madhavi , Moses Rebecca L. , Chen Huei-Ying , Tran Matthew Nguyen , Eagles Nicholas J , Stolz Joshua M , Catallini Joseph L , Soudry Olivia R , Dickinson Dwight , Berman Karen F , Apud Jose A , Weinberger Daniel R , Martinowich Keri , Jaffe Andrew E , Straub Richard E , Maher Brady J 
Published: April 2021

AbstractNeurons derived from human induced pluripotent stem cells (hiPSCs) have been used to model basic cellular aspects of neuropsychiatric disorders, but the relationship between the emergent phenotypes and the clinical characteristics of donor individuals has been unclear. We analyzed RNA expression and indices of cellular function in hiPSC-derived neural progenitors and cortical neurons generated from 13 individuals with high polygenic risk scores (PRS) for schizophrenia and a clinical diagnosis of schizophrenia, along with 15 neurotypical individuals with low PRS. We identified electrophysiological measures associated with diagnosis that implicated altered Na+channel function and GABA-ergic neurotransmission. Importantly, electrophysiological measures predicted cardinal clinical and cognitive features found in these schizophrenia patients. The identification of basic neuronal physiological properties related to core clinical characteristics of illness is a potentially critical step in generating leads for novel therapeutics.
Revisiting regulatory decoherence and phenotypic integration: accounting for temporal bias in co-expression analyses
Authors: Cai Haoran , Des Marais David L. 
Published: April 2021

ABSTRACTEnvironment can alter the degree of phenotypic variation and covariation, potentially influencing evolutionary trajectories. However, environment-driven changes in phenotypic variation remain understudied. In an effort to exploit the abundance of RNASequencing data now available, an increasing number of ecological studies rely on population-level correlation to characterize the plastic response of the entire transcriptome and to identify environmentally responsive molecular pathways. These studies are fundamentally interested in identifying groups of genes that respond in concert to environmental shifts. We show that population-level differential co-expression exhibits biases when capturing changes of regulatory activity and strength in rice plants responding to elevated temperature. One possible cause of this bias is regulatory saturation, the observation that detectable co-variance between a regulator and its target may be low as their transcript abundances are induced. This phenomenon appears to be particularly acute for rapid-onset environmental stressors. However, our results suggest that temporal correlations may be a reliable means to detect transient regulatory activity following rapid onset environmental perturbations such as temperature stress. Such temporal bias is likely to confound the studies of phenotypic integration, where high-order organismal traits are hypothesized to be more integrated with strong correlation under stressful conditions, while recent transcriptome studies exhibited weaker coexpression between genes under stressful conditions. Collectively, our results point to the need to account for the nuances of molecular interactions and the possibly confounding effects that these can introduce into conventional approaches to study transcriptome datasets.