bluuebunny/crossref_metadata_2025_split huggingface dataset:
Anti-inflammatory effects of new human histamine H3 receptor ligands with flavonoid structure on BV-2 neuroinflammation
Authors: Honkisz-Orzechowska Ewelina , Popiołek-Barczyk Katarzyna , Linart Zuzanna , Filipek-Gorzała Jadwiga , Rudnicka Anna , Siwek Agata , Werner Tobias , Stark Holger , Chwastek Jakub , Starowicz Katarzyna , Kieć-Kononowicz Katarzyna , Łażewska Dorota 
Published: November 2022

Abstract
Objective
Microglia play an important role in the neuroinflammation developed in response to various pathologies. In this study, we examined the anti-inflammatory effect of the new human histamine H3 receptor (H3R) ligands with flavonoid structure in murine microglial BV-2 cells.

Material and methods
The affinity of flavonoids (E243 -flavone and IIIa–IIIc—chalcones) for human H3R was evaluated in the radioligand binding assay. The cytotoxicity on BV-2 cell viability was investigated with the MTS assay. Preliminary evaluation of anti-inflammatory properties was screened by the Griess assay in an in vitro neuroinflammation model of LPS-treated BV-2 cells. The expression and secretion of pro-inflammatory cytokines were evaluated by real-time qPCR and ELISA, respectively. The expression of microglial cell markers were determined by immunocytochemistry.

Results
Chalcone derivatives showed high affinity at human H3R with Ki values < 25 nM. At the highest nontoxic concentration (6.25 μM) compound IIIc was the most active in reducing the level of nitrite in Griess assay. Additionally, IIIc treatment attenuated inflammatory process in murine microglia cells by down-regulating pro-inflammatory cytokines (IL-1β, IL-6, TNF-α) at both the level of mRNA and protein level. Our immunocytochemistry studies revealed expression of microglial markers (Iba1, CD68, CD206) in BV-2 cell line.

Conclusions
These results emphasize the importance of further research to accurately identify the anti-inflammatory mechanism of action of chalcones.
Target2 imbalances and poverty in the eurozone
Authors: Canale Rosaria Rita , Liotti G. 
Published: November 2022

AbstractThis paper aims to investigate the relationship between external imbalances and poverty in the Eurozone. The former are registered through the Target2 (T2) settlement mechanism and can be assimilated into changes in official reserves to cover the balance of payments disequilibrium in a fixed exchange rate regime. The presence of T2 discrepancies has led to differences in interest rates and increased distances in general living conditions inside the Eurozone. An empirical investigation implemented in 11 Eurozone countries reveals that T2 is negatively correlated with poverty, therefore allowing for an interpretation that approximates balance of payment crisis models. Results that appear to be robust to several control variables suggest that the policy framework of the Eurozone—in the absence of a compensatory mechanism—should be revised towards centralised fiscal instruments and anti-speculative monetary interventions.
Isolation of human TRPA1 channel from transfected HEK293 cells and identification of alkylation sites after sulfur mustard exposure
Authors: Müller-Dott Katharina , Thiermann Horst , John Harald , Steinritz Dirk 
Published: November 2022

AbstractTransient receptor potential (TRP) channels are important in the sensing of pain and other stimuli. They may be triggered by electrophilic agonists after covalent modification of certain cysteine residues. Sulfur mustard (SM) is a banned chemical warfare agent and its reactivity is also based on an electrophilic intermediate. The activation of human TRP ankyrin 1 (hTRPA1) channels by SM has already been documented, however, the mechanism of action is not known in detail. The aim of this work was to purify hTRPA1 channel from overexpressing HEK293 cells for identification of SM-induced alkylation sites. To confirm hTRPA1 isolation, Western blot analysis was performed showing a characteristic double band at 125 kDa. Immunomagnetic separation was carried out using either an anti-His-tag or an anti-hTRPA1 antibody to isolate hTRPA1 from lysates of transfected HEK293 cells. The identity of the channel was confirmed by micro liquid chromatography-electrospray ionization high-resolution tandem-mass spectrometry. Following SM exposure, hTRPA1 channel modifications were found at Cys462 and Cys665, as well as at Asp339 and Glu341 described herein for the first time. Since Cys665 is a well-known target of hTRPA1 agonists and is involved in hTRPA1 activation, SM-induced modifications of cysteine, as well as aspartic acid and glutamic acid residues may play a role in hTRPA1 activation. Considering hTRPA1 as a target of other SM-related chemical warfare agents, analogous adducts may be predicted and identified applying the analytical approach described herein.
Immunoaffinity extraction followed by enzymatic digestion for the isolation and identification of proteins employing automated μSPE reactors and mass spectrometry
Authors: Duong Karen , Maleknia Simin , Clases David , Minett Andrew , Padula Matthew P. , Doble Philip A. , Gonzalez de Vega Raquel 
Published: November 2022

AbstractThis work describes a novel automated and rapid method for bottom-up proteomics combining protein isolation with a micro-immobilised enzyme reactor (IMER). Crosslinking chemistry based on 1-ethyl-3-(3-dimethylaminopropyl) carbodiimide/N-hydroxysuccinimide (EDC/NHS) coupling was exploited to immobilise trypsin and antibodies onto customisable silica particles coated with carboxymethylated dextran (CMD). This novel silica–CMD solid-phase extraction material was characterised using Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), conductometric titrations and enzymatic colorimetric assays. Micro-solid-phase extraction (μSPE) cartridges equipped with the modified CMD material were employed and integrated into an automated and repeatable workflow using a sample preparation workstation to achieve rapid and repeatable protein isolation and pre-concentration, followed by tryptic digestion producing peptide fragments that were identified by liquid chromatography mass spectrometry (LC-MS).
Graphical abstract
Efficient Unitary Designs with a System-Size Independent Number of Non-Clifford Gates
Authors: Haferkamp J. , Montealegre-Mora F. , Heinrich M. , Eisert J. , Gross D. , Roth I. 
Published: November 2022

AbstractMany quantum information protocols require the implementation of random unitaries. Because it takes exponential resources to produce Haar-random unitaries drawn from the full n-qubit group, one often resorts to t-designs. Unitary t-designs mimic the Haar-measure up to t-th moments. It is known that Clifford operations can implement at most 3-designs. In this work, we quantify the non-Clifford resources required to break this barrier. We find that it suffices to inject $$O(t^{4}\log ^{2}(t)\log (1/\varepsilon ))$$

O
(

t
4

log
2

(
t
)

log

(
1
/
ε
)

)

many non-Clifford gates into a polynomial-depth random Clifford circuit to obtain an $$\varepsilon $$
ε
-approximate t-design. Strikingly, the number of non-Clifford gates required is independent of the system size – asymptotically, the density of non-Clifford gates is allowed to tend to zero. We also derive novel bounds on the convergence time of random Clifford circuits to the t-th moment of the uniform distribution on the Clifford group. Our proofs exploit a recently developed variant of Schur-Weyl duality for the Clifford group, as well as bounds on restricted spectral gaps of averaging operators.
How prism adaptation reveals the distinct use of size and positions in grasping
Authors: Smeets Jeroen B. J. , Pennekamp Ian , van Amsterdam Bente , Schot Willemijn D. 
Published: November 2022

AbstractThe size of an object equals the distance between the positions of its opposite edges. However, human sensory processing for perceiving positions differs from that for perceiving size. Which of these two information sources is used to control grip aperture? In this paper, we answer this question by prism adaptation of single-digit movements of the index finger and thumb. We previously showed that it is possible to adapt the index finger and thumb in opposite directions and that this adaptation induces an aftereffect in grip aperture in grasping. This finding suggests that grasping is based on the perceived positions of the contact points. However, it might be compatible with grasping being controlled based on size provided that the opposing prism adaptation leads to changes in visually perceived size or proprioception of hand opening. In that case, one would predict a similar aftereffect in manually indicating the perceived size. In contrast, if grasping is controlled based on information about the positions of the edges, the aftereffect in grasping is due to altered position information, so one would predict no aftereffect in manually indicating the perceived size. Our present experiment shows that there was no aftereffect in manually indicating perceived size. We conclude that grip aperture during grasping is based on perceived positions rather than on perceived size.
18F-sodium fluoride PET-CT visualizes both axial and peripheral new bone formation in psoriatic arthritis patients
Authors: de Jongh Jerney , Hemke Robert , Zwezerijnen Gerben J. C. , Yaqub Maqsood , van der Horst-Bruinsma Irene E. , van de Sande Marleen G. H. , van Kuijk Arno W. R. , Voskuyl Alexandre E. , van der Laken Conny J. 
Published: November 2022

Abstract

Purpose

As bone formation is associated with psoriatic arthritis (PsA), positron emission tomography (PET) using a 18F-Fluoride tracer may enable sensitive detection of disease activity. Our primary aim was to determine the feasibility of whole-body 18F-sodium fluoride PET-CT in clinically active PsA patients to depict new bone formation (as a reflection of disease activity) at peripheral joints and entheses. Our secondary aim was to describe 18F-sodium fluoride findings in the axial skeleton.

Methods
Sixteen patients (female 10/16, age 50.6 ± 8.9 years) with PsA fulfilling CASPAR criteria or with a clinical diagnosis of PsA according to the treating rheumatologist and with ≥ 1 clinically active enthesitis site were included. Of each patient, a whole-body 18F-sodium fluoride PET-CT scan was performed. All scans were scored for PET-positive lesions at peripheral joints, enthesis sites and the spine. Clinical disease activity was assessed by swollen/tender joint count 44, enthesitis according to MASES and SPARCC scores.

Results
Out of 1088 evaluated joints, 109 joints showed PET enhancement, mainly in the interphalangeal and metatarsal joints of the feet (14/109, 12.9%) and the distal interphalangeal joints of the hands (14/109, 12.9%). PET positivity was found at 44/464 enthesis sites, mainly at the patella tendon insertion (11/44, 25%) and quadriceps tendon insertion (10/44, 22.7%). Of the PET-positive joints and enthesis sites, respectively 18.2% and 29.5% were clinically positive; 81.8% and 70.5% of the PET-positive joints and entheses respectively were clinically asymptomatic. In 11 patients, ≥ 1 axial PET-positive lesion was observed, mainly in the cervical spine.

Conclusions
New molecular bone formation was observed on 18F-sodium fluoride PET-CT scans, in all domains in which PsA disease activity can be observed, with a substantial part showing no clinical symptoms.

Clinical trial registration
EudraCT: 2017-004,850-40, registered on 13 December 2017.
Automated detection of IVC filters on radiographs with deep convolutional neural networks
Authors: Mongan John , Kohli Marc D. , Houshyar Roozbeh , Chang Peter D. , Glavis-Bloom Justin , Taylor Andrew G. 
Published: November 2022

Abstract
Purpose
To create an algorithm able to accurately detect IVC filters on radiographs without human assistance, capable of being used to screen radiographs to identify patients needing IVC filter retrieval.

Methods
A primary dataset of 5225 images, 30% of which included IVC filters, was assembled and annotated. 85% of the data was used to train a Cascade R-CNN (Region Based Convolutional Neural Network) object detection network incorporating a pre-trained ResNet-50 backbone. The remaining 15% of the data, independently annotated by three radiologists, was used as a test set to assess performance. The algorithm was also assessed on an independently constructed 1424-image dataset, drawn from a different institution than the primary dataset.

Results
On the primary test set, the algorithm achieved a sensitivity of 96.2% (95% CI 92.7–98.1%) and a specificity of 98.9% (95% CI 97.4–99.5%). Results were similar on the external test set: sensitivity 97.9% (95% CI 96.2–98.9%), specificity 99.6 (95% CI 98.9–99.9%).

Conclusion
Fully automated detection of IVC filters on radiographs with high sensitivity and excellent specificity required for an automated screening system can be achieved using object detection neural networks. Further work will develop a system for identifying patients for IVC filter retrieval based on this algorithm.

Graphical abstract
Somatic ARID1A mutation stratifies patients with gastric cancer to PD-1 blockade and adjuvant chemotherapy
Authors: Gu Yun , Zhang Puran , Wang Jieti , Lin Chao , Liu Hao , Li He , He Hongyong , Li Ruochen , Zhang Heng , Zhang Weijuan 
Published: November 2022

Abstract
Background
AT-rich interaction domain 1A (ARID1A) encodes a vital component of switch/sucrose non-fermentable chromatin-remodeling complex. Given its association with genomic instability, we conducted this study to determine whether ARID1A mutation status had an impact on therapeutic responsiveness in gastric cancer (GC), especially combinatory chemo-immunotherapy.

Methods
We retrospectively enrolled a total of 1162 patients from five independent cohorts. ZSHS Cohort and TCGA Cohort were designed to inform chemotherapeutic relevance and immunobiology of ARID1A-mutant GC based on tissue samples and sequencing data, respectively. MSKCC Cohort, mGC Cohort, and Melanoma Cohort were utilized to interrogate the predictive efficacy of ARID1A mutation to programmed cell death protein 1 (PD-1) blockade.

Results
ARID1A mutation was enriched in EBV-positive, hypermutated-single nucleotide variant and microsatellite-unstable subtype GC, and was predictive of responsiveness to both fluorouracil-based chemotherapy and PD-1 blockade. Specifically, ARID1A mutation score was a highly sensitive indicator (91%) of response to pembrolizumab. Mechanistically, ARID1A mutation correlated with extensive DNA damage repair deficiency and immunogenic tumor microenvironment (TME) featured by elevated activated subsets of CD8+ T cells, CD4+ T cells, and NK cells. Type 17T helper cells were typically abundant in ARID1A-mutant GC and might be a precondition for chemosensitivity conferred by ARID1A mutation. Furthermore, ARID1A mutation indicated elevated expression of VEGFA and CLDN18, as well as over-representation of ERBB2 and FGFR2 signaling pathway.

Conclusions
ARID1A-mutant GC displayed immunogenic TME and might be a candidate for both monotherapy and the combination of frontline chemotherapy and PD-1 blockade.
Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI
Authors: Thimansson Erik , Bengtsson J. , Baubeta E. , Engman J. , Flondell-Sité D. , Bjartell A. , Zackrisson S. 
Published: November 2022

Abstract
Objectives
Prostate volume (PV) in combination with prostate specific antigen (PSA) yields PSA density which is an increasingly important biomarker. Calculating PV from MRI is a time-consuming, radiologist-dependent task. The aim of this study was to assess whether a deep learning algorithm can replace PI-RADS 2.1 based ellipsoid formula (EF) for calculating PV.

Methods
Eight different measures of PV were retrospectively collected for each of 124 patients who underwent radical prostatectomy and preoperative MRI of the prostate (multicenter and multi-scanner MRI’s 1.5 and 3 T). Agreement between volumes obtained from the deep learning algorithm (PVDL) and ellipsoid formula by two radiologists (PVEF1 and PVEF2) was evaluated against the reference standard PV obtained by manual planimetry by an expert radiologist (PVMPE). A sensitivity analysis was performed using a prostatectomy specimen as the reference standard. Inter-reader agreement was evaluated between the radiologists using the ellipsoid formula and between the expert and inexperienced radiologists performing manual planimetry.

Results
PVDL showed better agreement and precision than PVEF1 and PVEF2 using the reference standard PVMPE (mean difference [95% limits of agreement] PVDL: −0.33 [−10.80; 10.14], PVEF1: −3.83 [−19.55; 11.89], PVEF2: −3.05 [−18.55; 12.45]) or the PV determined based on specimen weight (PVDL: −4.22 [−22.52; 14.07], PVEF1: −7.89 [−30.50; 14.73], PVEF2: −6.97 [−30.13; 16.18]). Inter-reader agreement was excellent between the two experienced radiologists using the ellipsoid formula and was good between expert and inexperienced radiologists performing manual planimetry.

Conclusion
Deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI.

Key Points
• A commercially available deep learning algorithm performs similarly to radiologists in the assessment of prostate volume on MRI.
• The deep-learning algorithm was previously untrained on this heterogenous multicenter day-to-day practice MRI data set.
The effects of collagen peptides on exercise-induced gastrointestinal stress: a randomized, controlled trial
Authors: Taylor Guy , Leonard Amber , Tang Jonathan C. Y. , Dunn Rachel , Fraser William D. , Virgilio Nicolina , Prawitt Janne , Stevenson Emma , Clifford Tom 
Published: November 2022

Abstract
Purpose
We examined the effects of collagen peptides (CP) supplementation on exercise-induced gastrointestinal (GI) stress.

Methods
In a randomized, crossover design, 20 volunteers (16 males: $$\dot{V}$$

V
˙

O2max, 53.4 ± 5.9 ml·kg−1) completed 3 trials: a non-exercise rest trial, with no supplement (REST) and then an exercise trial with CP (10 g·day−1) or placebo control (CON) supplements, which were consumed for 7 days prior to, and 45 min before, a 70 min run at 70–90% of $$\dot{V}$$

V
˙

O2max. Outcome measures included urinary lactulose and rhamnose (L/R), intestinal fatty acid binding protein (I-FABP), lipopolysaccharide (LPS), anti-LPS antibody, monocyte-chemoattractant protein-1 (MCP-1), interleukin (IL) 6 and 8, cortisol, alkaline phosphatase (ALP) (measured pre, 10 min post and 2 h post) and subjective GI symptoms.

Results
There were no differences in heart rate, perceived exertion, thermal comfort, or core temperature during exercise in the CP and CON trials (all P > 0.05). I-FABP was higher in CP (2538 ± 1221 pg/ml) and CON (2541 ± 766 pg/ml) vs. REST 2 h post (1893 ± 1941 pg/ml) (both P < 0.05). LPS increased in CON vs. REST 2 h post (+ 71.8 pg/ml; P < 0.05). Anti-LPS antibody decreased in CON and CP vs. REST at post (both P < 0.05). There were no differences in MCP-1, IL-6, and IL-8 between the CP and CON trials (all P > 0.05), and no differences in L/R or GI symptoms between CON and CP (all P > 0.05).

Conclusion
Collagen peptides did not modify exercise-induced changes in inflammation, GI integrity or subjective GI symptoms but LPS was higher in CON 2 h post-exercise and thus future studies may be warranted.
Comparison of shear viscosity and normal stress measurements by rotational and on-line slit rheometers with tube model predictions
Authors: Teixeira Paulo F. , Hilliou Loic , Covas Jose A. , Narimissa Esmaeil , Poh Leslie , Wagner Manfred H. 
Published: November 2022

Abstract
In-extruder measurements of shear viscosity and normal stresses are important as these measurement techniques allow determining the rheological state of the polymer melt at processing conditions up to high shear rates. However, validation of viscosity and normal stress data obtained by in-line slit rheometers at high shear rates is difficult due to a lack of overlap of the in-line data and the off-line measurements by rotational rheometers limited to lower shear rates. Here, shear viscosity and normal stress data measured in-line at large shear rates during extrusion and off-line at low shear rates are compared to predictions of the Doi-Edwards model and the Hierarchical Multi-Mode Molecular Stress Function (HMMSF) model using linear-viscoelastic off-line small amplitude oscillating shear data of two polystyrenes and a low-density polyethylene as input parameters. For polystyrene, the results of this investigation do not only validate the experimental data obtained by rotational as well as slit-die rheometry, but also demonstrate the agreement between experiments and models up to very high shear rates, which were not experimentally accessible earlier. The low-density polyethylene shows a more complex behaviour, which follows the HMMSF model at low shear rates, but approaches the Doi-Edwards model at high shear rates.
Neuronal networks underlying ictal and subclinical discharges in childhood absence epilepsy
Authors: Kumar Ami , Lyzhko Ekaterina , Hamid Laith , Srivastav Anand , Stephani Ulrich , Japaridze Natia 
Published: November 2022

AbstractChildhood absence epilepsy (CAE), involves 3 Hz generalized spikes and waves discharges (GSWDs) on the electroencephalogram (EEG), associated with ictal discharges (seizures) with clinical symptoms and impairment of consciousness and subclinical discharges without any objective clinical symptoms or impairment of consciousness. This study aims to comparatively characterize neuronal networks underlying absence seizures and subclinical discharges, using source localization and functional connectivity (FC), to better understand the pathophysiological mechanism of these discharges. Routine EEG data from 12 CAE patients, consisting of 45 ictal and 42 subclinical discharges were selected. Source localization was performed using the exact low-resolution electromagnetic tomography (eLORETA) algorithm, followed by FC based on the imaginary part of coherency. FC based on the thalamus as the seed of interest showed significant differences between ictal and subclinical GSWDs (p < 0.05). For delta (1–3 Hz) and alpha bands (8–12 Hz), the thalamus displayed stronger connectivity towards other brain regions for ictal GSWDs as compared to subclinical GSWDs. For delta band, the thalamus was strongly connected to the posterior cingulate cortex (PCC), precuneus, angular gyrus, supramarginal gyrus, parietal superior, and occipital mid-region for ictal GSWDs. The strong connections of the thalamus with other brain regions that are important for consciousness, and with components of the default mode network (DMN) suggest the severe impairment of consciousness in ictal GSWDs. However, for subclinical discharges, weaker connectivity between the thalamus and these brain regions may suggest the prevention of impairment of consciousness. This may benefit future therapeutic targets and improve the management of CAE patients.