Mendezhutchinson0070

Novel biomarkers of rheumatoid arthritis (RA), in addition to antibodies against cyclic citrullinated peptides, are required. Metabolome analysis is a promising approach to identify metabolite biomarkers for clinical diagnosis. We adopted a comprehensive non-targeted metabolomics approach combining capillary electrophoresis time-of-flight mass spectrometry (TOFMS) and liquid chromatography TOFMS. We constructed metabolomics profiling of 286 plasma samples of a Japanese population [92 RA patients, 13 systemic lupus erythematosus (SLE) patients and 181 healthy controls). RA case-control association tests showed that seven metabolites exhibited significantly increased levels in RA samples compared with controls (P 0.11; 42 patients with PsA and 38 healthy controls), indicating disease specificity in RA. In conclusion, our large-scale metabolome analysis demonstrated the increased plasma nucleotide levels in RA patients, which could be used as potential clinical biomarkers of RA, especially for seronegative RA.

Human research ethics statements support equitable inclusion of diverse groups. Yet older people are under-represented in clinical research, especially those with impaired decision-making capacity. The aim of this study was to identify perspectives and experiences of older persons and their caregivers of research participation with impaired decision-making capacity.

Scoping review of literature and online sources in January-February 2019 (updated June 2020) according to Joanna Briggs Institute methodology and PRISMA Extension for Scoping Reviews. English-language peer-reviewed research articles and Australian online narratives were included. Data were tabulated and narratively synthesized.

From 4171 database records and 93 online resources, 22 articles (2000-2019, 82% United States, 16 first authors) and one YouTube webinar (2018) were initially included; updated searches yielded an additional article (2020) and YouTube webinar (2020). JNJ-42226314 concentration Studies were heterogeneous in terminology, methods and foci, with hynput into study development, and shared and supported decision-making. Older persons' and caregivers' perspectives and experiences of research participation with impaired decision-making capacity require investigation in a greater range of countries and conditions other than dementia, and dissemination through more varied media.

Thirdhand smoke (THS) is ultrafine particulate matter and residue resulting from tobacco combustion, with implications for health-related harm (eg, impaired wound healing), particularly among hospitalized infants. Project aims were to characterize nicotine (THS proxy) transported on neonatal intensive care unit (NICU) visitors and deposited on bedside furniture, as well as infant exposure.

Cross-sectional data were collected from participants in a metropolitan NICU. Participants completed a survey and carbon monoxide breath sample, and 41.9% (n = 88) of participants (n = 210) were randomly selected for finger-nicotine wipes during a study phase when all bedside visitors were screened for nicotine use and finger-nicotine levels. During an overlapping study phase, 80 mother-infant dyads consented to bedside furniture-nicotine wipes and an infant urine sample (for cotinine analyses).

Most nonstaff visitors' fingers had nicotine above the limit of quantification (>LOQ; 61.9%). Almost all bedside furnitur had detectable levels of urinary cotinine during NICU hospitalizations. Results justify further research to better protect infants from unintended THS exposure while hospitalized.

CONCUR is a standalone tool for codon usage analysis in ribosome profiling experiments. CONCUR uses the aligned reads in BAM format to estimate codon counts at the ribosome E-, P-, and A-sites and at flanking positions.

CONCUR is written in Perl and is freely available at https//github.com/susbo/concur.

Supplementary data are available at Bioinformatics online.

Supplementary data are available at Bioinformatics online.

Vast majority of human genetic disorders are associated with mutations that affect protein-protein interactions by altering wild type binding affinity. Therefore, it is extremely important to assess the effect of mutations on protein-protein binding free energy to assist the development of therapeutic solutions. Currently the most popular approaches use structural information to deliver the predictions, which precludes them to be applicable on genome-scale investigations. Indeed, with the progress of genomic sequencing, researchers are frequently dealing with assessing effect of mutations for which there is no structure available.

Here we report a Gradient Boosting Decision Tree (GBDT) machine learning algorithm, the SAAMBE-SEQ, which is completely sequence-based and does not require structural information at all. SAAMBE-SEQ utilizes 80 features representing evolutionary information, sequence-based features and change of physical properties upon mutation at the mutation site. The approach is shown to achieve Pearson correlation coefficient (PCC) of 0.83 in 5-fold cross validation in a benchmarking test against experimentally determined binding free energy change (ΔΔG). Further a blind test (no-STRUC) is compiled collecting experimental ΔΔG upon mutation for protein complexes for which structure is not available and used to benchmark SAAMBE-SEQ resulting in PCC in the range of 0.37 to 0.46. The accuracy of SAAMBE-SEQ method is found to be either better or comparable to most advanced structure-based methods. SAAMBE-SEQ is very fast, available as webserver and stand-alone code, and indeed utilizes only sequence information, and thus it is applicable for genome-scale investigations to study the effect of mutations on protein-protein interactions.

SAAMBE-SEQ is available at http//compbio.clemson.edu/saambe_webserver/indexSEQ.php#started.

Supplementary data are available at Bioinformatics online.

Supplementary data are available at Bioinformatics online.

This review investigates the contribution of discursive approaches to the study of ageism in working life. It looks back on the 50 years of research on ageism and the body of research produced by the discursive turn in social science and gerontology.

This study followed the five-step scoping review protocol to define gaps in the knowledge on ageism in working life from a discursive perspective. 851 papers were extracted from electronic databases and, according to inclusion and exclusion criteria, 39 papers were included in the final review.

The selected articles were based on discursive approaches and included study participants along the full continuum of working life (workers, retirees, jobseekers, students in training). Three main themes representing the focal point of research were identified, namely, experiences of ageism, social construction of age and ageism, and strategies to tackle (dilute) ageism.

Discursive research provides undeniable insights into how participants experience ageism in working life, how ageism is constructed, and how workers create context-based strategies to counteract age stereotypes, prejudice, and discrimination.