The Gender Pain Gap: gender inequalities in pain across 19 European countries

Aims: Chronic pain is increasingly considered to be an international public health issue – but gender differences in chronic pain in Europe are under-examined. This work aimed to examine gender inequalities in pain across Europe. Methods: Data for 27,552 men and women aged 25-74 years in 19 European countries were taken from the social determinants of health module of the European Social Survey (2014). Inequalities in reporting pain were measured by means of adjusted rate differences (ARD) and relative adjusted rate risks (ARR). Results: At the pooled pan-European level, a greater proportion of women (62.3%) reported pain than men (55.5%) (ARD 5.5% [95% CI 4.1%, 6.9%], ARR 1.10 [95% CI 1.08, 1.13]). These inequalities were greatest for back/neck pain (ARD 5.8% [95% CI 4.4%, 7.1%], ARR 1.15 [95% CI 1.12, 1.19]), but were also significant for hand/arm pain (ARD 4.6% [95% CI 3.5%, 5.7%], ARR 1.24 [95% CI 1.17, 1.30]), and foot/leg pain (ARD 2.6% [95% CI 1.5%, 3.8%], ARR 1.12 [95% CI 1.07, 1.18]). There was considerable cross‐national variation in gender pain inequalities across European countries. Conclusions: Significant gender pain inequalities exist across Europe whereby women experience more pain than men; this was most pronounced for back/neck pain. The extent of the gender pain gap varies by country. The gender pain gap is a public health concern, and should be considered in future prevention and management strategies

BEAMing and Droplet Digital PCR Analysis of Mutant IDH1 mRNA in Glioma Patient Serum and Cerebrospinal Fluid Extracellular Vesicles

Development of biofluid-based molecular diagnostic tests for cancer is an important step towards tumor characterization and real-time monitoring in a minimally invasive fashion. Extracellular vesicles (EVs) are released from tumor cells into body fluids and can provide a powerful platform for tumor biomarkers because they carry tumor proteins and nucleic acids. Detecting rare point mutations in the background of wild-type sequences in biofluids such as blood and cerebrospinal fluid (CSF) remains a major challenge. Techniques such as BEAMing (beads, emulsion, amplification, magnetics) PCR and droplet digital PCR (ddPCR) are substantially more sensitive than many other assays for mutant sequence detection. Here, we describe a novel approach that combines biofluid EV RNA and BEAMing RT-PCR (EV-BEAMing), as well droplet digital PCR to interrogate mutations from glioma tumors. EVs from CSF of patients with glioma were shown to contain mutant IDH1 transcripts, and we were able to reliably detect and quantify mutant and wild-type IDH1 RNA transcripts in CSF of patients with gliomas. EV-BEAMing and EV-ddPCR represent a valuable new strategy for cancer diagnostics, which can be applied to a variety of biofluids and neoplasms

Open Problems in Extracellular RNA Data Analysis: Insights From an ERCC Online Workshop.

We now know RNA can survive the harsh environment of biofluids when encapsulated in vesicles or by associating with lipoproteins or RNA binding proteins. These extracellular RNA (exRNA) play a role in intercellular signaling, serve as biomarkers of disease, and form the basis of new strategies for disease treatment. The Extracellular RNA Communication Consortium (ERCC) hosted a two-day online workshop (April 19-20, 2021) on the unique challenges of exRNA data analysis. The goal was to foster an open dialog about best practices and discuss open problems in the field, focusing initially on small exRNA sequencing data. Video recordings of workshop presentations and discussions are available (https://exRNA.org/exRNAdata2021-videos/). There were three target audiences: experimentalists who generate exRNA sequencing data, computational and data scientists who work with those groups to analyze their data, and experimental and data scientists new to the field. Here we summarize issues explored during the workshop, including progress on an effort to develop an exRNA data analysis challenge to engage the community in solving some of these open problems

RNA expression patterns in serum microvesicles from patients with glioblastoma multiforme and controls

<p>Abstract</p> <p>Background</p> <p>RNA from exosomes and other microvesicles contain transcripts of tumour origin. In this study we sought to identify biomarkers of glioblastoma multiforme in microvesicle RNA from serum of affected patients.</p> <p>Methods</p> <p>Microvesicle RNA from serum from patients with de-novo primary glioblastoma multiforme (N = 9) and normal controls (N = 7) were analyzed by microarray analysis. Samples were collected according to protocols approved by the Institutional Review Board. Differential expressions were validated by qRT-PCR in a separate set of samples (N = 10 in both groups).</p> <p>Results</p> <p>Expression profiles of microvesicle RNA correctly separated individuals in two groups by unsupervised clustering. The most significant differences pertained to down-regulated genes (121 genes > 2-fold down) in the glioblastoma multiforme patient microvesicle RNA, validated by qRT-PCR on several genes. Overall, yields of microvesicle RNA from patients was higher than from normal controls, but the additional RNA was primarily of size < 500 nt. Gene ontology of the down-regulated genes indicated these are coding for ribosomal proteins and genes related to ribosome production.</p> <p>Conclusions</p> <p>Serum microvesicle RNA from patients with glioblastoma multiforme has significantly down-regulated levels of RNAs coding for ribosome production, compared to normal healthy controls, but a large overabundance of RNA of unknown origin with size < 500 nt.</p

Health Educ Behav

UL1 TR000433/TR/NCATS NIH HHS/United States5U01CE001957-02/CE/NCIPC CDC HHS/United StatesDA07484/DA/NIDA NIH HHS/United StatesUL1TR000433/TR/NCATS NIH HHS/United StatesR01 DA007484/DA/NIDA NIH HHS/United StatesU01 CE001957/CE/NCIPC CDC HHS/United States2014-03-26T00:00:00Z23863911PMC396656

Probing the competition among different coordination motifs in metal-ciprofloxacin complexes through IRMPD spectroscopy and DFT calculations

The vibrational spectra of ciprofloxacin complexes with monovalent (Li+, Na+, K+, Ag+) and polyvalent (Mg2+, Al3+) metal ions are recorded in the range 1000-1900 cm(-1) by means of infrared multiple-photon dissociation (IRMPD) spectroscopy. The IRMPD spectra are analyzed and interpreted in the light of density functional theory (DFT)-based quantum chemical calculations in order to identify the possible structures present under our experimental conditions. For each metal-ciprofloxacin complex, four isomers are predicted, considering different chelation patterns. A good agreement is found between the measured IRMPD spectrum and the calculated absorption spectrum of the most stable isomer for each complex. Metal ion size and charge are found to drive the competition among the different coordination motifs: small size and high charge density metal ions prefer to coordinate the quinolone between the two carbonyl oxygen atoms, whereas large-size metal ions prefer the carboxylate group as a coordination site. In the latter case, an intramolecular hydrogen bond compensates the weaker interaction established by these cations. The role of the metal cation on the stabilization of ionic and nonionic structures of ciprofloxacin is also investigated. It is found that large-size metal ions preferentially stabilize charge separated motifs and that the increase of metal ion charge has a stabilizing effect on the zwitterionic form of ciprofloxacin