bluuebunny/crossref_metadata_2025_split huggingface dataset:
Complications of Diced Cartilage Wrapped in Blood Products in Rhinoplasty: A Meta-Analysis
Authors: Song Zhen , Dong Wenfang , Fan Fei 
Published: August 2022

Background:
Diced cartilage wrapped in blood products has been increasingly advocated in rhinoplasty. The complication is a major concern of the procedure. This meta-analysis aims to assess the complication rates and revision rate of this procedure.

Methods:
All original articles published up to March 2022 were searched through PubMed, Embase, and Web of Science databases. Additional articles were added through reference searching. Articles were included for meta-analysis according to inclusion criteria. Data were extracted by 2 individuals independently and the analysis was conducted through Stata 12.0 software (StataCorp., College Station, Texas).

Results:
A total of 559 articles were initially found and an additional 1 article was added through reference searching. A total of 11 articles including 469 patients were included for meta-analysis. The results indicated that the total complication rates were 1.2% for irregularity, 0.2% for visibility, 0.7% for deviation, 1% for erythema, and 0% for graft resorption, depression, and infection. The revision rate was 1.2%.

Conclusions:
The overall complication and revision rates of diced cartilage wrapped in blood products in rhinoplasty were relatively low. Considering the limited number of related studies, a larger sample size, long-term follow-up, clear diagnostic criteria, and detailed methods of measurement are expected in further research.
Participation in the nation-wide cervical cancer screening programme in Denmark during the COVID-19 pandemic: An observational study
Authors: Olesen Tina Bech , Jensen Henry , Møller Henrik , Jensen Jens Winther , Waldstrøm Marianne , Andersen Berit 
Published: August 2022

AbstractBackgroundIn contrast to most of the world, the cervical cancer screening programme continued in Denmark throughout the COVID-19 pandemic. We examined the cervical cancer screening participation during the pandemic in Denmark.MethodsWe included all women aged 23-64 years old invited to participate in cervical cancer screening from 2015-2021 as registered in the Cervical Cancer Screening Database combined with population-wide registries. Using a generalised linear model, we estimated prevalence ratios (PR) and 95% confidence intervals (CI) of cervical cancer screening participation within 90, 180 and 365 days since invitation during the pandemic in comparison with the previous years adjusting for age, year and month of invitation.ResultsAltogether, 2,220,000 invited women (in 1,466,353 individuals) were included in the study. Before the pandemic, 36% of invited women participated in screening within 90 days, 54% participated within 180 days and 65% participated within 365 days. At the start of the pandemic, participation in cervical cancer screening within 90 days was lower (pre-lockdown PR=0.58; 95% CI: 0.56-0.59 and 1st lockdown PR=0.76; 95% CI: 0.75-0.77) compared with the previous years. A reduction in participation within 180 days was also seen during pre-lockdown (PR=0.89; 95% CI: 0.88-0.90) and 1st lockdown (PR=0.92; 95% CI: 0.91-0.93). Allowing for 365 days to participation, only a slight reduction (3%) in participation was seen with slightly lower participation in some groups (immigrants, low education and low income).ConclusionsThe overall participation in cervical cancer screening was reduced during the early phase of the pandemic. However, the decline almost diminished with longer follow-up time.FundingThe study was funded by the Danish Cancer Society Scientific Committee (grant number R321-A17417) and the Danish regions.
ISCB RSG-Spain and highlights from the VIII Spanish Student Symposium in Bioinformatics and Computational Biology in 2021
Authors: Rivero Inés , Gorines-Cordero Guillermo Jorge , Rubio-Rodríguez Luis A. , Soler-Sáez Irene , Perpiñá-Clérigues Carla , García Adrian , Monzón Sara , Hernández-Beeftink Tamara 
Published: August 2022

AbstractThe Regional Student Group of Spain is recognized by the Student Council and the International Society for Computational Biology. The objective of these institutions is to connect and share useful information among all professionals and students working in the field of bioinformatics and computational biology. In this article, we intend to present and publicize RSG-Spain, the Spanish ISCB regional student group, by relating its recent history of a growing community of students and young professionals and how it helps their development in the field. RSG-Spain, since its creation, has been involved in the organization of events with the aim of gathering bioinformaticians in the country and promoting research and collaboration in the field. Here the VIII Student Symposium held online in 2021 is presented, analyzing the output of the event and showing the main challenges found in its organization.
Is adiposity associated with white-matter microstructural health and intelligence differently in men and women?
Authors: Patel Arjun , Chad Jordan A. , Chen J. Jean 
Published: August 2022

AbstractThe role of vascular risk in age-related brain degeneration has long been the subject of intense study. As a sub-category of vascular risk, obesity has an increasingly recognized role in influencing brain health and health-care strategies, but its association with brain health remains under-studied. Notably, no prior study has addressed sex differences in the association between adiposity and white-matter microstructural integrity, an important early marker of brain degeneration, despite known sex differences in fat storage and usage. This study focuses on the associations between adiposity (abdominal fat ratio: AFR, and liver proton density fat fraction: PDFF) and brain microstructural health (measures of white-matter microstructure using diffusion-tensor imaging, DTI). We found that fluid intelligence and reaction time are indeed associated with body fat differently in men and women. We also found significant differences in the associations of AFR with DTI metrics between sexes. These sex differences are mirrored in the associations of SBP and age with DTI metrics. Moreover, these sex differences in the AFR and SBP associations with DTI metrics persist when controlling for age. Taken together, these findings suggest that there are inherent sex-driven differences in how brain health is associated with vascular risk factors such as obesity.
Rates of COVID-19-Associated Hospitalization in Immunocompromised Individuals in Omicron-era: A Population-Based Observational Study Using Surveillance Data in British Columbia, Canada
Authors: Bahremand Taraneh , Yao Jiayun Angela , Mill Christopher , Piszczek Jolanta , Grant Jennifer M. , Smolina Kate 
Published: August 2022

AbstractBackgroundPeople with immune dysfunction have a higher risk for severe COVID-19 outcomes. Omicron variant is associated with a lower rate of hospitalization but higher vaccine escape. This population-based study quantifies COVID-19 hospitalization rate in the Omicron-dominant era among vaccinated people with immune dysfunction, identified as clinically extremely vulnerable (CEV) population before COVID-19 treatment was widely offered.MethodsAll COVID-19 cases were reported to the British Columbia Centre for Disease Control (BCCDC) between January 7, 2022 and March 14, 2022. Case and population hospitalization rates were estimated across CEV status, age groups and vaccination status. Cumulative rates of hospitalizations for the study period were also compared between CEV and non-CEV individuals matched by sex, age group, region, and vaccination characteristics.FindingsA total of 5,591 COVID-19 reported cases and 1,153 hospitalizations among CEV individuals were included. A third vaccine dose with mRNA vaccine offered additional protection against severe illness in CEV individuals. Vaccinated CEV population still had a significantly higher breakthrough hospitalization rate compared with non-CEV individuals.InterpretationCEV population remains a higher risk group and may benefit from additional booster doses and pharmacotherapy.FundingBC Centre for Disease Control and Provincial Health Services Authority
The role of epidemic spreading in seizure dynamics and epilepsy surgery
Authors: Millán Ana. P. , van Straaten Elisabeth C.W. , Stam Cornelis J. , Nissen Ida A. , Idema Sander , Baayen Johannes C. , Van Mieghem Piet , Hillebrand Arjan 
Published: August 2022

AbstractEpilepsy surgery is the treatment of choice for drug-resistant epilepsy patients, but one in three patients continue to have seizures one year after surgery. In order to improve the chances of good outcomes, computational models of seizure dynamics are being integrated into surgical planning to simulate the effects of the planned surgeries. These modelling frameworks require several conceptual and methodological choices, as well as large amounts of patient-specific data, which hinders their clinical applicability. To address this problem, we considered the patient-specific brain network, derived from magnetoencephalography (MEG) recordings, and a simple epidemic spreading model as the dynamical basis for seizure propagation. This simple model was enough to reproduce the seizure propagation patterns derived from stereo-tactical electroencephalography recordings (SEEG) of all considered patients (N= 15), when the patients’ resected areas (RA) were used as the origin of epidemic spreading. The model yielded a more accurate fit for the seizure-free (SF,N= 11) than the non-SF (NSF) group and, even though the difference between the groups was not significant, the goodness-of-fit distinguished NSF from SF patients with an area under the curve AUC = 84.1%. We also explored the definition of a population model that combined data from different patients to fit the model parameters but was still individualized by considering the patient-specific MEG network. Even though the goodness-of-fit decreased compared to the individualized models, the difference between the SF and NSF groups held, and in fact became stronger and significant (p= 0.023), and the group classification also improved slightly (AUC= 88.6%). Therefore, combining data from different patients may pave the way not only to generalize this framework to patients without SEEG recordings, but also to reduce the risk of over-fitting and improve the stability of the models. Finally, we considered the individualized models to derive alternative hypothesis of the seizure onset zones and to test the surgical strategyin silicofor each patient. We found that RA regions were on average more likely to originate the seizures, but that alternative explanations were possible. Virtual resections of the RA when considering these alternative seeds significantly reduced seizure propagation, and to a greater extend for SF than NSF patients (although the difference was not significant). Overall, our findings indicate that spreading models based on the patient-specific MEG network can be used to predict surgical outcomes, with better fit results and greater reduction on seizure spreading linked to higher likelihood of seizure freedom after surgery.
Genetically-Encoded Discovery of Perfluoroaryl-Macrocycles that Bind to Albumin and Exhibit Extended Circulationin-vivo
Authors: Wong Jeffrey Y.K. , Kirberger Steven E. , Qiu Ryan , Ekanayake Arunika I. , Kelich Payam , Sarkar Susmita , Alvizo-Paez Edgar R. , Miao Jiayuan , Kalhor-Monfared Shiva , Dwyer John J. , Nuss John M. , Lin Yu-Shan , Macauley Matthew S. , Vukovic Lela , Pomerantz William C.K. , Derda Ratmir 
Published: August 2022

AbstractIn this paper, we report selection of albumin-binding macrocyclic peptides from genetically encoded libraries of peptides modified by perfluoroaryl-cysteine SNAr chemistry. Modification of phage-displayed libraries SXCXnC-phage,n=3–5, where X is any amino acid except for cysteine by decafluoro-diphenylsulfone (DFS), yields genetically-encoded library of octafluoro-diphen-ylsulfone-crosslinked macrocycles (OFS-SXCXnC-phage). Selection from these libraries using albumin as a bait identified a family of significantly enriched perfluoroaryl-macrocycles. Synthesis of perfluoroaryl-macrocycles predicted by phage display and testing their binding properties by19F NMR and fluorescent polarization identifiedOFS-macrocycle with SICRFFC sequence as the most potent albumin binder. We observed thatOFS-macrocycles slowly react with biological nucleophiles such as glutathione. Replacing decafluoro-diphenylsulfone by nearly isosteric pentafluorophenyl sulfide yielded perfluorophenylsulfide (PFS)-crosslinked macrocycles devoid of undesired reactivity. The augmented leadPFS-macrocycle with SICRFFC sequence exhibitedKD= 4–6 μM towards human serum albumin and similar affinities towards rat and mouse albumins. When injected in mouse, thePFS-SICRFFCGGG compound was significantly retained in circulationin vivowhen compared to controlPFS-macrocyclic peptide. The perfluoroaryl-macrocycles with SICRFFC motif are the smallest known peptide macrocycle with significant affinity for human albumin and they are a productive starting point for future development of compact macrocycles with predictable circulation half-lifein vivo.
Determining predictive metabolomic biomarkers of meniscal injury in dogs with cranial cruciate ligament disease
Authors: Pye Christine R. , Green Daniel C. , Anderson James R. , Phelan Marie M. , Comerford Eithne J. , Peffers Mandy J. 
Published: August 2022

AbstractObjectivesThe objective of this study was to use for the first time proton nuclear magnetic resonance spectroscopy (1H NMR) to examine the metabolomic profile of stifle joint synovial fluid from dogs with cranial cruciate ligament rupture with and without meniscal injuries. We hypothesised this would identify biomarkers of meniscal injury.MethodsStifle joint synovial fluid was collected from dogs undergoing stifle joint surgery or arthrocentesis for lameness investigations at three veterinary hospitals in the North-West of England. Samples underwent1H NMR spectroscopy and metabolite identification. We used multivariate and univariate statistical analysis to identify differences in the metabolomic profile between dogs with cranial cruciate ligament rupture and meniscal injury, cranial cruciate ligament rupture without meniscal injury, and neither cranial cruciate ligament rupture nor meniscal injury, taking into consideration specific clinical variables.Results154 samples of canine synovial fluid were included in the study. 64 metabolites were annotated to the1H NMR spectra. Six spectral regions were found to be significantly altered between groups with cranial cruciate ligament rupture with and without meniscal injury, including three attributed to NMR mobile lipids (mobile lipid -CH3[p=0.016], mobile lipid -n(CH3)3[p=0.017], mobile unsaturated lipid [p=0.031]).Clinical SignificanceWe identified an increase in NMR mobile lipids in the synovial fluid of dogs with meniscal injury which are of interest as potential biomarkers of meniscal injury, as well as understanding the metabolic processes that occur with meniscal injury.
Fast and Accurate Kinship Estimation Using Sparse SNPs in Relatively Large Database Searches
Authors: Snedecor June , Fennell Tim , Stadick Seth , Homer Nils , Antunes Joana , Stephens Kathryn , Holt Cydne 
Published: August 2022

1.AbstractForensic genetic genealogy (FGG) has primarily relied upon dense single nucleotide polymorphism (SNP) profiles from forensic samples or unidentified human remains queried against online genealogy database(s) of known profiles generated with SNP microarrays or from whole genome sequencing (WGS). In these queries, SNPs are compared to database samples by locating contiguous stretches of shared SNP alleles that allow for detection of genomic segments that are identical by descent (IBD) among biological relatives (kinship). This segment-based approach, while robust for detecting distant relationships, generally requires DNA quantity and/or quality that are sometimes not available in forensic casework samples. By focusing on SNPs with maximal discriminatory power and using an algorithm designed for a sparser SNP set than those from microarray typing, performance similar to segment matching was reached even in difficult casework samples. This algorithm locates shared segments using kinship coefficients in “windows” across the genome. The windowed kinship algorithm is a modification of the PC-AiR and PC-Relate tools for genetic relatedness inference, referred to here as the “whole genome kinship” approach, that control for the presence of unknown or unspecified population substructure. Simulated and empirical data in this study, using DNA profiles comprised of 10,230 SNPs (10K multiplex) targeted by the ForenSeq™ Kintelligence Kit demonstrate that the windowed kinship approach performs comparably to segment matching for identifying first, second and third degree relationships, reasonably well for fourth degree relationships, and with fewer false kinship associations. Selection criteria for the 10K SNP PCR-based multiplex and functionality of the windowed kinship algorithm are described.
A view of the pan-genome of domesticated cowpea (Vigna unguiculata[L.] Walp.)
Authors: Liang Qihua , Muñoz-Amatriaín María , Shu Shengqiang , Lo Sassoum , Wu Xinyi , Carlson Joseph W. , Davidson Patrick , Goodstein David M. , Phillips Jeremy , Janis Nadia M. , Lee Elaine J. , Liang Chenxi , Morrell Peter L. , Farmer Andrew D. , Xu Pei , Close Timothy J. , Lonardi Stefano 
Published: August 2022

AbstractCowpea,Vigna unguiculata L. Walp., is a diploid warm-season legume of critical importance as both food and fodder in sub-Saharan Africa. This species is also grown in Northern Africa, Europe, Latin America, North America, and East to Southeast Asia. To capture the genomic diversity of domesticates of this important legume,de novogenome assemblies were produced for representatives of six sub-populations of cultivated cowpea identified previously from genotyping of several hundred diverse accessions. In the most complete assembly (IT97K-499-35), 26,026 core and 4,963 noncore genes were identified, with 35,436 pan genes when considering all seven accessions. GO-terms associated with response to stress and defense response were highly enriched among the noncore genes, while core genes were enriched in terms related to transcription factor activity, and transport and metabolic processes. Over 5 million SNPs relative to each assembly and over 40 structural variants >1 Mb in size were identified by comparing genomes. Vu10 was the chromosome with the highest frequency of SNPs, and Vu04 had the most structural variants. Noncore genes harbor a larger proportion of potentially disruptive variants than core genes, including missense, stop gain, and frameshift mutations; this suggests that noncore genes substantially contribute to diversity within domesticated cowpea.Article SummaryThis study reports annotated genome assemblies of six cowpea accessions. Together with the previously reported annotated genome of IT97K-499-35, these constitute a pan-genome resource representing six subpopulations of domesticated cowpea. Annotations include genes, variant calls for SNPs and short indels, larger presence or absence variants, and inversions. Noncore genes are enriched for loci involved in stress response and harbor many genic variants with potential effects on coding sequence.
Frataxin deficiency disrupts mitochondrial respiration and pulmonary endothelial cell function
Authors: Culley Miranda K. , Mehta Monica , Zhao Jingsi , Perk Dror , Tai Yi Yin , Tang Ying , Shiva Sruti , Rabinovitch Marlene , Gu Mingxia , Bertero Thomas , Chan Stephen Y. 
Published: August 2022

AbstractDeficiency of iron-sulfur (Fe-S) clusters promotes metabolic rewiring of the endothelium and the development of pulmonary hypertension (PH) in vivo. Joining a growing number of Fe-S biogenesis proteins critical to pulmonary endothelial function, recent data highlighted that frataxin (FXN) reduction drives Fe-S-dependent genotoxic stress and senescence across multiple types of pulmonary vascular disease. Trinucleotide repeat mutations in the FXN gene cause Friedreich’s ataxia, a disease characterized by cardiomyopathy and neurodegeneration. These tissue-specific phenotypes have historically been attributed to mitochondrial reprogramming and oxidative stress. Whether FXN coordinates both nuclear and mitochondrial processes in the endothelium is unknown. Here, we aim to identify the mitochondria-specific effects of FXN deficiency in the endothelium that predispose to pulmonary hypertension. Our data highlight an Fe-S-driven metabolic shift separate from previously described replication stress whereby FXN knockdown diminished mitochondrial respiration and increased glycolysis and oxidative species production. In turn, FXN-deficient endothelial cells exhibited a vasoconstrictive phenotype consistent with PH. These data were observed in both primary pulmonary endothelial cells after pharmacologic inhibition of FXN and inducible pluripotent stem cell-derived endothelial cells from patients with FXN mutations. Altogether, this study defines FXN as a shared upstream driver of pathologic aberrations in both metabolism and genomic stability. Moreover, our study highlights FXN-specific vasoconstriction, suggesting available and future therapies may be beneficial and targeted for PH subtypes with FXN deficiency.Graphical Abstract
Reproductive state switches the valence of male urinary pheromones in female mice
Authors: Miller Caitlin H. , Reichard Tess M. , Yang Jay , Carlson-Clarke Brandon , Vogt Caleb C. , Warden Melissa R. , Sheehan Michael J. 
Published: August 2022

SummaryInternal states shape responses to sensory stimuli. Mammalian female reproductive states are understudied considering they are one of the most regular state changes in the animal kingdom. Here we examine female house mouse preferences toward male odors across the reproductive states of estrus and late-stage pregnancy. In house mice, urine scent marks are salient social odors that convey information about the sex and identity of individuals by major urinary proteins (MUPs). Males secrete a sex-specific pheromonal protein called darcin (MUP20). Additionally, genetically diverse mice secrete unique combinations of MUPs used in individual recognition. Prior work has revealed that male odors are powerful social stimuli for female mice, yet we have a limited understanding of how the valence of such odors change across reproductive states. We discovered a valence shift among estrus and pregnant females toward novel male urine, in which estrus females exhibit preference and pregnant females show strong avoidance. This valence switch also occurs toward darcin alone, providing further support for darcin as a strong sexual signal. However, when presented with familiar male urine, the approach-avoidance response disappears, even when additional darcin is added. In contrast, when an existing identity protein (MUP11) is added to familiar male urine the approach-avoidance response is recovered. This indicates that darcin in the absence of other identity information denotes a novel male and that familiar identity information present in male urine is sufficient to modify responses to darcin. Our findings suggest that the sex and identity information encoded by MUPs are likely processed via distinct, and potentially opposing pathways, that modulate responses toward complex social odor blends. Furthermore, we identify a state-modulated shift in decision-making toward social odors and propose a neural circuit model for this flow of information. These data underscore the importance of physiological state and signal context for interpreting the meaning and importance of social odors.