bluuebunny/crossref_metadata_2025_split huggingface dataset:
Liquid water on cold exo-Earths via basal melting of ice sheets
Authors: Ojha Lujendra , Troncone Bryce , Buffo Jacob , Journaux Baptiste , McDonald George 
Published: December 2022

AbstractLiquid water is a critical component of habitability. However, the production and stability of surficial liquid water can be challenging on planets outside the Habitable Zone and devoid of adequate greenhouse warming. On such cold, icy exo-Earths, basal melting of regional/global ice sheets by geothermal heat provides an alternative means of forming liquid water. Here, we model the thermophysical evolution of ice sheets to ascertain the geophysical conditions that allow liquid water to be produced and maintained at temperatures above the pressure-controlled freezing point of water ice on exo-Earths. We show that even with a modest, Moon-like geothermal heat flow, subglacial oceans of liquid water can form at the base of and within the ice sheets on exo-Earths. Furthermore, subglacial oceans may persist on exo-Earths for a prolonged period due to the billion-year half-lives of heat-producing elements responsible for geothermal heat. These subglacial oceans, often in contact with the planet’s crust and shielded from the high energy radiation of their parent star by thick ice layers, may provide habitable conditions for an extended period.
Next generation genetically encoded fluorescent sensors for serotonin
Authors: Kubitschke Martin , Müller Monika , Wallhorn Lutz , Pulin Mauro , Mittag Manuel , Pollok Stefan , Ziebarth Tim , Bremshey Svenja , Gerdey Jill , Claussen Kristin Carolin , Renken Kim , Groß Juliana , Gneiße Pascal , Meyer Niklas , Wiegert J. Simon , Reiner Andreas , Fuhrmann Martin , Masseck Olivia Andrea 
Published: December 2022

AbstractWe developed a family of genetically encoded serotonin (5-HT) sensors (sDarken) on the basis of the native 5-HT1A receptor and circularly permuted GFP. sDarken 5-HT sensors are bright in the unbound state and diminish their fluorescence upon binding of 5-HT. Sensor variants with different affinities for serotonin were engineered to increase the versatility in imaging of serotonin dynamics. Experiments in vitro and in vivo showed the feasibility of imaging serotonin dynamics with high temporal and spatial resolution. As demonstrated here, the designed sensors show excellent membrane expression, have high specificity and a superior signal-to-noise ratio, detect the endogenous release of serotonin and are suitable for two-photon in vivo imaging.
25-year retrospective longitudinal study on seasonal allergic rhinitis associations with air temperature in general practice
Authors: Schreurs Wendy , Schermer Tjard Ronald Jacob , Akkermans Reinier Peter , Bischoff Erik Wiely Maria Anton , Luijks Hilde Dymphna 
Published: December 2022

AbstractDue to climate change, air temperature in the Netherlands has gradually increased. Higher temperatures lead to longer pollen seasons. Possible relations between air temperature and increased impact of seasonal allergic rhinitis (SAR) in general practice have not been investigated yet. We explored trends in timing of frequent seasonal allergic rhinitis presentation to general practitioners (GPs) over 25 years and explored associations with air temperature. We performed a retrospective exploratory longitudinal study with data from our Family Medicine Network (1995–2019), including all SAR patients and their GP-encounters per week. We determined patients’ GP-consultation frequency. Every year we identified seasonal periods with substantial increase in SAR related encounters: peak-periods. We determined start date and duration of the peak-period and assessed associations with air temperature in the beginning and throughout the year, respectively. The peak-period duration increased by a mean of 1.3 days (95% CI 0.23–2.45, P = 0.02) per year throughout the study period. Air temperature between February and July showed a statistically significant association with peak-period duration. We could not observe direct effects of warmer years on the start of peak-periods within distinct years (P = 0.06). SAR patients’ contact frequency slightly increased by 0.01 contacts per year (95% CI 0.002–0.017, P = 0.015). These longitudinal findings may help to facilitate further research on the impact of climate change, and raise awareness of the tangible impact of climate change in general practice.
Validation of grip strength as a measure of frailty in rheumatoid arthritis
Authors: Sobue Yasumori , Suzuki Mochihito , Ohashi Yoshifumi , Koshima Hiroshi , Okui Nobuyuki , Funahashi Koji , Ishikawa Hisato , Inoue Hidenori , Kojima Masayo , Asai Shuji , Terabe Kenya , Kishimoto Kenji , Maeda Masataka , Kihira Daisuke , Imagama Shiro , Kojima Toshihisa 
Published: December 2022

AbstractRheumatoid arthritis (RA) patients often exhibit finger/wrist joint symptoms and reduced grip strength. This study aimed to validate grip strength as a measure of frailty in RA patients. Subjects were 424 female RA patients (mean age ± standard deviation, 66.8 ± 14.5 years). Frailty was defined as a score of ≥ 8 points on the Kihon Checklist (KCL). Finger/wrist joint symptoms were defined based on tender or swollen joints. Associations between frailty and grip strength were determined using receiver operating characteristic (ROC) curve analysis and multivariable logistic regression analysis. There were 179 subjects with frailty (42.2%). Multivariable logistic regression analysis revealed that frailty was significantly associated with grip strength independently of finger/wrist joint symptoms. In ROC curves, cut-off scores of grip strength for frailty in subjects without and with finger/wrist joint symptoms were 17 kg (sensitivity, 62.1%; specificity, 69.0%) and 14 kg (sensitivity, 63.2%; specificity, 73.0%), respectively. The results of the present study suggest that grip strength in female RA patients is associated with frailty, with a cut-off score of 17 kg (equivalent to Cardiovascular Health Study criteria, < 18 kg) when RA patients have no finger/wrist joint symptoms. However, when RA patients have finger/wrist joint symptoms, it may be considered to reduce the cut-off score of grip strength.
Machine learning for exploring neurophysiological functionality in multiple sclerosis based on trigeminal and hand blink reflexes
Authors: Biggio Monica , Caligiore Daniele , D’Antoni Federico , Bove Marco , Merone Mario 
Published: December 2022

AbstractBrainstem dysfunctions are very common in Multiple Sclerosis (MS) and are a critical predictive factor for future disability. Brainstem functionality can be explored with blink reflexes, subcortical responses consisting in a blink following a peripheral stimulation. Some reflexes are already employed in clinical practice, such as Trigeminal Blink Reflex (TBR). Here we propose for the first time in MS the exploration of Hand Blink Reflex (HBR), which size is modulated by the proximity of the stimulated hand to the face, reflecting the extension of the peripersonal space. The aim of this work is to test whether Machine Learning (ML) techniques could be used in combination with neurophysiological measurements such as TBR and HBR to improve their clinical information and potentially favour the early detection of brainstem dysfunctionality. HBR and TBR were recorded from a group of People with MS (PwMS) with Relapsing-Remitting form and from a healthy control group. Two AdaBoost classifiers were trained with TBR and HBR features each, for a binary classification task between PwMS and Controls. Both classifiers were able to identify PwMS with an accuracy comparable and even higher than clinicians. Our results indicate that ML techniques could represent a tool for clinicians for investigating brainstem functionality in MS. Also, HBR could be promising when applied in clinical practice, providing additional information about the integrity of brainstem circuits potentially favouring early diagnosis.
The transmembrane domains mediate oligomerization of the human ZIP4 transporter in vivo
Authors: Liu Yuting , Bafaro Elizabeth M. , Cowan Ann E. , Dempski Robert E. 
Published: December 2022

AbstractThe human (h) ZIP4 is a plasma membrane transporter that functions to increase cytosolic zinc levels. hZIP4 encodes eight transmembrane domains and a large extracellular domain (ECD). This ECD is cleaved from the holo-transporter when cells are zinc-deficient. At the same time, mutations in the ECD can result in the zinc-deficiency disease Acrodermatitis enteropathica. Previously, it was shown that hZIP4’s ECD is comprised of two structurally independent subdomains where contacts between the ECD monomeric units are centered at the PAL motif. These results lead to the hypothesis that ZIP4-ECD is essential to the dimerization of the holo-transporter. To test this hypothesis, we used Fluorescence Correlation Spectroscopy (FCS) to quantify the oligomeric state of full-length hZIP4 and hZIP4 lacking the ECD domain, each tagged with eGFP. Inspection of our experimental results demonstrate that both the full-length and truncated hZIP4 is a dimer when expressed in HEK293 cells. Parallel functional experiments demonstrate that the Km and Vmax for truncated and full-length hZIP4/eGFP are similar. Determining that truncated hZIP4/eGFP forms a dimer is a crucial step for understanding the function of the hZIP4-ECD, which provides more insight into how the diseases related to hZIP4 protein.
Statistical power for MACE and individual secondary endpoints in cardiovascular outcomes trials for type 2 diabetes: a systematic review
Authors: Birker Sebastian , Meier Juris J. , Nauck Michael A. 
Published: December 2022

AbstractCardiovascular outcomes trials (CVOTs) with novel drugs to treat type 2 diabetes have uniformly chosen the composite “major adverse cardiovascular events (MACE)” as their primary endpoint, but they also report hazard ratios for individual cardiovascular outcomes (myocardial infarction, stroke, cardiovascular death, all-cause death, hospitalization for heart failure). We wanted to scrutinize the power to identify significant differences with respect to individual as compared to composite outcomes. We estimated post hoc the statistical power to detect significant differences of 10–25% for published studies, comparing the proportions of patients with an event (two-sided log-rank tests). For MACE, the power to detect a 15% difference ranged from 82.3 to 100.0% for larger trials, but was only 69.1 and 50.5 for smaller, preliminary trials (SUSTAIN-6 and PIONEER-6). For individual endpoints, the power, as a rule, was substantially lower. In conclusion, cardiovascular outcomes trials had appropriate power to detect significant reductions in hazard ratios with respect to the primary endpoint, but not for individual cardiovascular outcomes. This was particularly the case for small, preliminary studies. Our results call for caution when comparing results regarding individual endpoints between CVOTs, if the aim is to identify heterogeneity within or between medication classes.
The effect of explantation on systemic disease symptoms and quality of life in patients with breast implant illness: a prospective cohort study
Authors: Bird G. R. , Niessen F. B. 
Published: December 2022

AbstractSilicone breast implants (SBIs) have been subject to scientific scrutiny since the 1960’s because of their potential link with systemic disease symptoms. Breast implant illness (BII) is a cluster of over 56 (systemic) symptoms attributed by patients to their SBIs. BII remains an unofficial medical diagnosis, although its symptoms include but are not limited to the clinical manifestations of autoimmune/inflammatory syndrome induced by adjuvants (ASIA). The aim of this study was to prospectively analyse the effect of explantation on clinical manifestations of ASIA/BII symptoms, as well as to compare (breast-surgery specific) QoL in patients pre- and postoperatively while recording relevant perioperative/patient data. A prospective cohort study was conducted on 140 patients consulting a single surgeon for explantation of SBIs at a single clinic from 2019 to 2021 via their general practitioner, a medical specialist or self-referral. Of all patients, medical (implant) history, lifestyle factors and biometric data were obtained. Patients filled out a novel ASIA/BII symptom-survey termed the ASIA-scale, three domains of the SF-36 and the augmentation module of the BREAST-Q before and four months after the operation. A total of 109 patients completed both the pre- and postoperative survey with a mean follow-up duration of 205 days. There was a significant decrease in all individual symptom scores as well as ASIA-scale summary scores after explantation (p < .001). All SF-36 subdomains showed significant improvement postoperatively (p < .001). The BREAST-Q subdomain ‘satisfaction with breasts’ improved significantly after explantation (p = .036). No statistically significant association was found between any clinical parameters (such as age, capsulectomy, rupture etc.) and the recovery of symptom scores. This is the largest prospective cohort study on SBI explantation to date showing significant improvement of the most common systemic complaints in SBI patients as well as improvement of satisfaction with breasts and overall quality of life.
Optimization of magnetic nano-iron production by Aspergillus flavipes MN956655.1 using response surface methodology and evaluation of their dye decolorizing and antifungal activities
Authors: Abdullah Nashwa H. 
Published: December 2022

AbstractIron nanoparticles have been biosynthesized by a newAspergillus flavipesisolate. Size of biosynthesized iron nanoparticles was in a range of 32.7 and 47.6 nm, their surface charge was − 33.5 ± 5.3 and they showed semihard ferromagnetic behavior. Salt concentration, volume of added culture filtrate and pH have been optimized using response surface methodology. A significant effect for the added culture filtrate and a mutual interaction between this factor and the pH has been detected. Model validation results showed 3.3% deviation from the statistically predicted values which reflects the accuracy of the employed model. Optimization process has increased the quantity of iron in the prepared samples and the amount of produced iron nanoparticles to a fourfold. The optimized conditions have stimulated the formation of nanoparticles in a tetrahedron shape rather than the truncated tetrahedron shape without affecting their size or surface charge. The biosynthesized iron nanoparticles have recorded a good decolorization activity for methylene blue. They showed 57 ± 4.3 decolorization percent after 6 h when tested with only 0.1 mg/ml concentration. Moreover, 50 ppm concentration has exerted a detectable antifungal activity againstAlternaria solani. This study represents a new competitive green synthesis method for magnetic iron nanoparticle.
Synthesis and in vitro antibacterial, antifungal, anti-proliferative activities of novel adamantane-containing thiazole compounds
Authors: Warda Eman T. , El-Ashmawy Mahmoud B. , Habib El-Sayed E. , Abdelbaky Mohammed S. M. , Garcia-Granda Santiago , Thamotharan Subbiah , El-Emam Ali A. 
Published: December 2022

AbstractA series of (Z)-N-(adamantan-1-yl)-3,4-diarylthiazol-2(3H)-imines (5a-r) was synthesized via condensation of 1-(adamantan-1-yl)-3-arylthioureas (3a-c) with various aryl bromomethyl ketones (4a-f). The structures of the synthesized compounds were characterized by 1H NMR, 13C NMR and by X-ray crystallography. The in vitro inhibitory activities of the synthesized compounds were assessed against a panel of Gram-positive and Gram-negative bacteria, and pathogenic fungi. Compounds 5c, 5g, 5l, 5m, and 5q displayed potent broad-spectrum antibacterial activity, while compounds 5a and 5o showed activity against the tested Gram-positive bacteria. Compounds 5b, 5l and 5q displayed potent antifungal activity against Candida albicans. In addition, the synthesized compounds were evaluated for anti-proliferative activity towards five human tumor cell lines. The optimal anti-proliferative activity was attained by compounds 5e and 5k which showed potent inhibitory activity against all the tested cell lines. Molecular docking analysis reveals that compounds 5e and 5k can occupy the positions of NAD cofactor and the histone deacetylase inhibitor EX527 at the active site of SIRT1 enzyme.
The sex-specific metabolic signature of C57BL/6NRj mice during aging
Authors: Bresilla Doruntina , Habisch Hansjoerg , Pritišanac Iva , Zarse Kim , Parichatikanond Warisara , Ristow Michael , Madl Tobias , Madreiter-Sokolowski Corina T. 
Published: December 2022

AbstractDue to intact reactive oxygen species homeostasis and glucose metabolism, C57BL/6NRj mice are especially suitable to study cellular alterations in metabolism. We applied Nuclear Magnetic resonance spectroscopy to analyze five different tissues of this mouse strain during aging and included female and male mice aged 3, 6, 12, and 24 months. Metabolite signatures allowed separation between the age groups in all tissues, and we identified the most prominently changing metabolites in female and male tissues. A refined analysis of individual metabolite levels during aging revealed an early onset of age-related changes at 6 months, sex-specific differences in the liver, and a biphasic pattern for various metabolites in the brain, heart, liver, and lung. In contrast, a linear decrease of amino acids was apparent in muscle tissues. Based on these results, we assume that age-related metabolic alterations happen at a comparably early aging state and are potentially associated with a metabolic switch. Moreover, identified differences between female and male tissues stress the importance of distinguishing between sexes when studying age-related changes and developing new treatment approaches. Besides, metabolomic features seem to be highly dependent on the genetic background of mouse strains.
1H NMR metabolomics analysis of oil palm stem tissue infected by Ganoderma boninense based on field severity Indices
Authors: Pancoro Adi , Karima Elfina , Apriyanto Ardha , Effendi Yunus 
Published: December 2022

AbstractBasal stem rot disease (BSR) caused by G. boninense affects most oil palm plants in Southeast Asia. This disease can be fatal to palm oil production. BSR shows no signs on the tree in the early stages of infection. Therefore, it is essential to find an approach that can detect BSR disease in oil palm, especially at any level of disease severity in the field. This study aims to identify biomarkers of BSR disease in oil palm stem tissue based on various disease severity indices in the field using 1H NMR-based metabolomics analysis. The crude extract of oil palm stem tissue with four disease severity indices was analyzed by 1H NMR metabolomics. Approximately 90 metabolites from oil palm stem tissue were identified.Twenty of these were identified as metabolites that significantly differentiated the four disease severity indices. These metabolites include the organic acid group, the carbohydrate group, the organoheterocyclic compound group, and the benzoid group. In addition, different tentative biomarkers for different disease severity indices were also identified. These tentative biomarkers consist of groups of organic acids, carbohydrates, organoheterocyclic compounds, nitrogenous organic compounds, and benzene. There are five pathways in oil palm that are potentially affected by BSR disease.
A machine learning method for improving the accuracy of radiation biodosimetry by combining data from the dicentric chromosomes and micronucleus assays
Authors: Shuryak Igor , Royba Ekaterina , Repin Mikhail , Turner Helen C. , Garty Guy , Deoli Naresh , Brenner David J. 
Published: December 2022

AbstractA large-scale malicious or accidental radiological event can expose vast numbers of people to ionizing radiation. The dicentric chromosome (DCA) and cytokinesis-block micronucleus (CBMN) assays are well-established biodosimetry methods for estimating individual absorbed doses after radiation exposure. Here we used machine learning (ML) to test the hypothesis that combining automated DCA and CBMN assays will improve dose reconstruction accuracy, compared with using either cytogenetic assay alone. We analyzed 1349 blood sample aliquots from 155 donors of different ages (3–69 years) and sexes (49.1% males), ex vivo irradiated with 0–8 Gy at dose rates from 0.08 Gy/day to ≥ 600 Gy/s. We compared the performances of several state-of-the-art ensemble ML methods and found that random forest generated the best results, with R2 for actual vs. reconstructed doses on a testing data subset = 0.845, and mean absolute error = 0.628 Gy. The most important predictor variables were CBMN and DCA frequencies, and age. Removing CBMN or DCA data from the model significantly increased squared errors on testing data (p-values 3.4 × 10–8 and 1.1 × 10–6, respectively). These findings demonstrate the promising potential of combining CBMN and DCA assay data to reconstruct radiation doses in realistic scenarios of heterogeneous populations exposed to a mass-casualty radiological event.
Lightweight cost-effective hybrid materials for energy absorption applications
Authors: El-baky Marwa A. Abd , Allah Mahmoud M. Awd , Kamel Madeha , Abd-Elaziem Walaa 
Published: December 2022

AbstractThe present paper experimentally explores the influence of the fiber hybridization and layering sequence on crashworthiness behavior and deformation history of polymer/metal thin-walled pipes. Jute (J)/glass (G) reinforced epoxy over wrapped aluminum (Al) pipes were prepared via hand wet wrapping then subjected to axial quasi-static compressive loads. The load versus displacement plots and crashing indicators, i.e. peak crushing load ($${\mathrm{F}}_{\mathrm{ip}}$$

F
ip

), mean crushing load ($${\mathrm{F}}_{\mathrm{m}}$$

F
m

), total energy absorption ($$\mathrm{U})$$

U
)

, specific energy absorption $$\left(\mathrm{SEA}\right)$$

SEA

, and crush force efficiency $$\left(\mathrm{CFE}\right)$$

CFE

were determined. Experimental results revealed that the maximum $$\left(\mathrm{SEA}\right)$$

SEA

was recorded for Al/2J/4G/2J pipe with a value of about 42.92 kJ/g, with an enhancement of 20.56% in $$\left(\mathrm{SEA}\right)$$

SEA

compared with pure Al-pipes. Al/2J/4G/2J specimens display the maximum ($$\mathrm{U})$$

U
)

, $$\left(\mathrm{SEA}\right)$$

SEA

, and $$\left(\mathrm{CFE}\right)$$

CFE

and could be employed as energy absorbing members in automobiles.
AS-CMC: a pan-cancer database of alternative splicing for molecular classification of cancer
Authors: Park Jiyeon , Lee Jin-Ok , Lee Minho , Chung Yeun-Jun 
Published: December 2022

AbstractAlternative splicing (AS) is a post-transcriptional regulation that leads to the complexity of the transcriptome. Despite the growing importance of AS in cancer research, the role of AS has not been systematically studied, especially in understanding cancer molecular classification. Herein, we analyzed the molecular subtype-specific regulation of AS using The Cancer Genome Atlas data and constructed a web-based database, named Alternative Splicing for Cancer Molecular Classification (AS-CMC). Our system harbors three analysis modules for exploring subtype-specific AS events, evaluating their phenotype association, and performing pan-cancer comparison. The number of subtype-specific AS events was found to be diverse across cancer types, and some differentially regulated AS events were recurrently found in multiple cancer types. We analyzed a subtype-specific AS in exon 11 of mitogen-activated protein kinase kinase 7 (MAP3K7) as an example of a pan-cancer AS biomarker. This AS marker showed significant association with the survival of patients with stomach adenocarcinoma. Our analysis revealed AS as an important determinant for cancer molecular classification. AS-CMC is the first web-based resource that provides a comprehensive tool to explore the biological implications of AS events, facilitating the discovery of novel AS biomarkers.