bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dual role of PID1 in regulating apoptosis induced by distinct anticancer-agents through AKT/Raf-1-dependent pathway in hepatocellular carcinoma
Authors: Yang Jian , Li Senlin , He Jialuo , Xu Qianqian , Xie Mengyuan , Yang Ci , Wang Hongjie , Zhang Yonghui , Wan Qian , Xiang Ming 
Published: April 2023

AbstractThe treatment outcome of hepatocellular carcinoma (HCC) is severely hampered due to its etiology, and thus in depth understanding of the genetic mechanisms underlying response of HCC to various anticancer agents is needed. Here, we have identified Phosphotyrosine interaction domain-containing protein 1 (PID1) as a novel regulator involved in modulation of apoptosis induced by anticancer agents in a context-dependent manner. PID1 relieved chemotherapy-induced ROS production, mitochondrial outer membrane permeability and mitochondrial respiratory depression. In addition, PID1 restricted AKT-mediated inhibition on Raf-1 through interacting with PDPK1 at phosphorylated tyrosine sites, thus enhancing Raf-1-mediated BAD inhibition. Interestingly, AKT, Bcl2 inhibition or Raf-1 silencing abolished PID1-mediated anti-apoptotic effects. However, PID1 altered the rhythmicity of pharmacological activity of Sorafenib on various survival-related kinases, thus resulting in AKT blockade via Raf-1/BRAF/ERK/MEK pathway. BRAF inhibition or Raf-1 depletion disrupted PID1-mediated barrier in AKT activation in response to Sorafenib. Moreover, in vivo study indicated that PID1 deficiency led to increased survival rate upon Doxorubicin treatment but reduced efficacy of Sorafenib. Overall, we propose that PID1 can function as an underlying biomarker of resistance to conventional chemotherapeutic agents but sensitivity towards Sorafenib.
Defective NCOA4-dependent ferroptosis in senescent fibroblasts retards diabetic wound healing
Authors: Wei Xuerong , Liu Mengqian , Zheng Zijun , Yu Shengxiang , Huang Lei , Ma Jun , Gao Yanbin , Peng Yujie , Chen Lianglong , Tan Rongwei , She Zhending , Yang Lei 
Published: April 2023

AbstractCellular senescence describes a state of permanent proliferative arrest in cells. Studies have demonstrated that diabetes promotes the pathological accumulation of senescent cells, which in turn impairs cell movement and proliferation. Historically, senescence has been perceived to be a detrimental consequence of chronic wound healing. However, the underlying mechanism that causes senescent cells to remain in diabetic wounds is yet to be elucidated. Ferroptosis and ferritinophagy observed in diabetes are due to iron metabolism disorders, which are directly associated with the initiation and progression of diabetes. Herein, we reveal that senescent fibroblasts in diabetic wounds are resistant to ferroptosis and that impaired ferritinophagy may be a contributing cause. Further, the expression of NCOA4, a key factor that influences ferritinophagy, is decreased in both diabetic wound tissue and high glucose-induced senescent fibroblasts. Moreover, NCOA4 overexpression could render senescent fibroblasts more vulnerable to ferroptosis. A faster wound healing process was also linked to the induction of ferroptosis. Thus, resistance to ferroptosis impedes the removal of senescent fibroblasts; promoting ferritinophagy could reverse this process, which may have significant implications for the management of diabetic wounds.
Degradation of water soluble poly(vinyl alcohol) with acoustic and hydrodynamic cavitation: laying foundations for microplastics
Authors: Petkovšek Martin , Kržan Andrej , Šmid Alenka , Žagar Ema , Zupanc Mojca 
Published: April 2023

AbstractWater-soluble poly(vinyl alcohol) (PVOH) is widely used in the textile and paper industries and in households as detergent pods. In addition to conventional microplastics, water-soluble PVOH poses an environmental threat because it is usually washed down the drain unnoticed and unobstructed. If not treated during wastewater treatment, it enters the aquatic ecosystem in estimated quantities of several thousand tons annually. The present study aims to address the degradation of PVOH on a laboratory scale by acoustic and hydrodynamic cavitation, assisted or not with an oxidative agent. A hydrodynamic cavitation generator, designed with consideration for real-life application, presents an innovative technology adapted for wastewater treatment. The effects of temperature, addition of external oxidant, and methanol as a hydroxyl radical (•OH) scavenger to PVOH solutions were systematically studied. At optimal operating conditions, PVOH molar mass averages significantly decreased (from weight average molar mass of 124 to 1.6 kg mol−1in case of 60 min treatment with hydrodynamic cavitation and addition of external oxidant) with concomitant narrowing of molar mass distribution. The SEC/MALS, FTIR, and1H NMR results show that mechanical degradation of PVOH chains predominates in acoustic cavitation, while chemical effects also play an important role in hydrodynamic cavitation. Findings from this study could serve as model research for the degradation of other carbon-backbone polymers and provide a route to improved ultimate (bio)degradation of functionalized polymers in the environment.
Predicting drug adverse effects using a new Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD)
Authors: Liu Julia Yuen Hang , Rudd John A. 
Published: April 2023

AbstractElectrical data could be a new source of big-data for training artificial intelligence (AI) for drug discovery. A Gastro-Intestinal Pacemaker Activity Drug Database (GIPADD) was built using a standardized methodology to test drug effects on electrical gastrointestinal (GI) pacemaker activity. The current report used data obtained from 89 drugs with 4867 datasets to evaluate the potential use of the GIPADD for predicting drug adverse effects (AEs) using a machine-learning (ML) approach and to explore correlations between AEs and GI pacemaker activity. Twenty-four “electrical” features (EFs) were extracted using an automated analytical pipeline from the electrical signals recorded before and after acute drug treatment at three concentrations (or more) on four-types of GI tissues (stomach, duodenum, ileum and colon). Extracted features were normalized and merged with an online side-effect resource (SIDER) database. Sixty-six common AEs were selected. Different algorithms of classification ML models, including Naïve Bayes, discriminant analysis, classification tree, k-nearest neighbors, support vector machine and an ensemble model were tested. Separated tissue models were also tested. Averaging experimental repeats and dose adjustment were performed to refine the prediction results. Random datasets were created for model validation. After model validation, nine AEs classification ML model were constructed with accuracy ranging from 67 to 80%. EF can be further grouped into ‘excitatory’ and ‘inhibitory’ types of AEs. This is the first time drugs are being clustered based on EF. Drugs acting on similar receptors share similar EF profile, indicating potential use of the database to predict drug targets too. GIPADD is a growing database, where prediction accuracy is expected to improve. The current approach provides novel insights on how EF may be used as new source of big-data in health and disease.
Olive shrub buried on Therasia supports a mid-16th century BCE date for the Thera eruption
Authors: Pearson Charlotte , Sbonias Kostas , Tzachili Iris , Heaton Timothy J. 
Published: April 2023

AbstractThe precise date of the 2nd millennium BCE (“Minoan”) eruption of Thera (Santorini) has long been a focus of controversy due to a discrepancy between archaeological and radiocarbon-based dating of materials from stratigraphic layers above and below tsunami, ash and pumice deposits resulting from the eruption. A critical, though controversial, piece of evidence has been four segments of a radiocarbon-dated olive tree branch, buried on Thera during the eruption. Here we report new radiocarbon evidence from an olive shrub found carbonized by the same eruption deposits on neighboring Therasia (Santorini). The Therasia olive shrub dates slightly younger than the previous olive branch. Calibrated results and growth increment counts indicate increased probabilities for a mid-16th century BCE date for the eruption, overlapping with multiple volcanic sulfate markers from ice core records.
Common weeds as heavy metal bioindicators: a new approach in biomonitoring
Authors: Cakaj A. , Lisiak-Zielińska M. , Hanć A. , Małecka A. , Borowiak K. , Drapikowska M. 
Published: April 2023

AbstractEnvironmental pollution by heavy metals affects both urban and non-urban areas of Europe and the world. The use of bioindicator plants for the detection of these pollutants is a common practice. An important property of potential bioindicators is their easy availability and wide distribution range, which means that they can be practically used over a wide area. Therefore, common and widely distributed weeds: Trifolium pratense L., Rumex acetosa L., Amaranthus retroflexus L., Plantago lanceolata L., ornamental species Alcea rosea L., and Lolium multiflorum L. var. Ponto were selected as a potential bioindicators of heavy metals (Cd, Pb, Cu, Zn). Plants were exposed in the same soil conditions in three sample sites in the Poznań city. It was found that all species had heavy metal accumulation potential, especially A. rosea, P. lanceolata and L. multiflorum for Zn (BCF = 6.62; 5.17; 4.70) and A. rosea, P. lanceolata for Cd (BCF = 8.51; 6.94). Translocation of Cu and Zn was the most effective in T. pratense (TFCu = 2.55; TFZn = 2.67) and in A. retroflexus (TFCu = 1.50; TFZn = 2.23). Cd translocation was the most efficient in T. pratense (TFCd = 1.97), but PB was the most effective translocated in A. retroflexus (TFPb = 3.09).. Based on physiological response to stress, it was detected an increasing level of hydrogen peroxide (H2O2) in roots and leaves of all samples, with the highest in all organs of A. rosea. Enzymatic activity levels of CAT, APOX, and also the marker of polyunsaturated fatty acid peroxidation MDA, were higher after 6 weeks of exposure in comparison to control samples and varied in time of exposure and between species and exposure. After the experiment, in almost all samples we detected a reduction of chlorophyll content and relative water content, but in efficiency of photosynthesis parameters: net photosynthesis rate, intercellular CO2 concentration and stomatal conductance, we noted increased values, which proved the relatively good condition of the plants. The examined weeds are good bioindicators of heavy metal contamination, and their combined use makes it possible to comprehensively detection of environmental threats.
Alteration of taste perception, food neophobia and oral microbiota composition in children with food allergy
Authors: D’Auria Enza , Cattaneo Camilla , Panelli Simona , Pozzi Carlotta , Acunzo Miriam , Papaleo Stella , Comandatore Francesco , Mameli Chiara , Bandi Claudio , Zuccotti Gianvincenzo , Pagliarini Ella 
Published: April 2023

AbstractCurrently, the mechanisms underlying sensory perception and sensory performance in children with food allergies are far from being understood. As well, only recently, single research afforded the oral host-commensal milieu, addressing oral microbial communities in children with peanut allergies. To bridge the current gaps in knowledge both in the sensory and microbial fields, a psychophysiological case–control study was performed in allergic children (n = 29) and a healthy sex-age-matched control group (n = 30). Taste perception, food neophobia, and liking were compared in allergic and non-allergic children. The same subjects were characterized for their oral microbiota composition by addressing saliva to assess whether specific profiles were associated with the loss of oral tolerance in children with food allergies. Our study evidenced an impaired ability to correctly identify taste qualities in the allergic group compared to controls. These results were also consistent with anatomical data related to the fungiform papillae on the tongue, which are lower in number in the allergic group. Furthermore, distinct oral microbial profiles were associated with allergic disease, with significant down-representations of the phylum Firmicutes and of the genera Veillonella spp., Streptococcus spp., Prevotella spp., and Neisseria spp. For the first time, this study emphasizes the link between sensory perception and food allergy, which is a novel and whole-organism view of this pathology. Our data indicated that an impaired taste perception, as regards both functionality and physiologically, was associated with food allergy, which marginally influences the food neophobia attitude. It is also accompanied by compositional shifts in oral microbiota, which is, in turn, another actor of this complex interplay and is deeply interconnected with mucosal immunity. This multidisciplinary research will likely open exciting new approaches to therapeutic interventions.
MIDO GDM: an innovative artificial intelligence-based prediction model for the development of gestational diabetes in Mexican women
Authors: Gallardo-Rincón Héctor , Ríos-Blancas María Jesús , Ortega-Montiel Janinne , Montoya Alejandra , Martinez-Juarez Luis Alberto , Lomelín-Gascón Julieta , Saucedo-Martínez Rodrigo , Mújica-Rosales Ricardo , Galicia-Hernández Victoria , Morales-Juárez Linda , Illescas-Correa Lucía Marcela , Ruiz-Cabrera Ixel Lorena , Díaz-Martínez Daniel Alberto , Magos-Vázquez Francisco Javier , Ávila Edwin Oswaldo Vargas , Benitez-Herrera Alejandro Efraín , Reyes-Gómez Diana , Carmona-Ramos María Concepción , Hernández-González Laura , Romero-Islas Oscar , Muñoz Enrique Reyes , Tapia-Conyer Roberto 
Published: April 2023

AbstractGiven the barriers to early detection of gestational diabetes mellitus (GDM), this study aimed to develop an artificial intelligence (AI)-based prediction model for GDM in pregnant Mexican women. Data were retrieved from 1709 pregnant women who participated in the multicenter prospective cohort study ‘Cuido mi embarazo’. A machine-learning-driven method was used to select the best predictive variables for GDM risk: age, family history of type 2 diabetes, previous diagnosis of hypertension, pregestational body mass index, gestational week, parity, birth weight of last child, and random capillary glucose. An artificial neural network approach was then used to build the model, which achieved a high level of accuracy (70.3%) and sensitivity (83.3%) for identifying women at high risk of developing GDM. This AI-based model will be applied throughout Mexico to improve the timing and quality of GDM interventions. Given the ease of obtaining the model variables, this model is expected to be clinically strategic, allowing prioritization of preventative treatment and promising a paradigm shift in prevention and primary healthcare during pregnancy. This AI model uses variables that are easily collected to identify pregnant women at risk of developing GDM with a high level of accuracy and precision.
Commercially available SARS-CoV-2 RT-qPCR diagnostic tests need obligatory internal validation
Authors: Linkowska Katarzyna , Bogiel Tomasz , Lamperska Katarzyna , Marszałek Andrzej , Starzyński Jarosław , Szylberg Łukasz , Szwed-Kowalska Aleksandra , Pawłowska Małgorzata , Grzybowski Tomasz 
Published: April 2023

AbstractAlthough infection with severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) does not appear to be as serious a threat to public health as it was in 2020–2021, the increased transmissibility of multiple Omicron descendants may constitute a continuous challenge for health care systems, and reliable detection of new variants is still imperative. This study evaluates the performance of three SARS-CoV-2 diagnostic tests: Novel Coronavirus (2019-nCoV) Real Time Multiplex RT-PCR Kit (Liferiver); Vitassay qPCR SARS-CoV-2 (Vitaassay) and TaqPath COVID‑19 CE-IVD RT-PCR Kit (Thermo Fisher Scientific). The analytical sensitivity of the assays as well as their specificity were determined with the use of synthetic nucleic acid standards and clinical samples. All assays appeared to be 100% specific for SARS-CoV-2 RNA in general and the Omicron variant in particular. The LOD determined during this validation was 10 viral RNA copies/reaction for Liferiver and TaqPath and 100 viral RNA copies for Vitassay. We cannot exclude that the LOD for the Vitassay might be lower and close to the manufacturer's declared value of ≥ 20 genome copies/reaction, as we obtained 90% positive results for 10 viral RNA copies/reaction. Mean Ct values at the concentration of 10 viral RNA copies/reaction for the Liferiver, Vitassay and TaqPath kits (35, 37 and 33, respectively) were significantly lower than the cutoff values declared by the manufacturers (≤ 41, ≤ 40 and ≤ 37, respectively). We suggest reporting outcomes based on LOD and cutoff Ct values determined during internal validation rather than those declared by the assays’ producers.
Deep learning-based image enhancement in optical coherence tomography by exploiting interference fringe
Authors: Lee Woojin , Nam Hyeong Soo , Seok Jae Yeon , Oh Wang-Yuhl , Kim Jin Won , Yoo Hongki 
Published: April 2023

AbstractOptical coherence tomography (OCT), an interferometric imaging technique, provides non-invasive, high-speed, high-sensitive volumetric biological imaging in vivo. However, systemic features inherent in the basic operating principle of OCT limit its imaging performance such as spatial resolution and signal-to-noise ratio. Here, we propose a deep learning-based OCT image enhancement framework that exploits raw interference fringes to achieve further enhancement from currently obtainable optimized images. The proposed framework for enhancing spatial resolution and reducing speckle noise in OCT images consists of two separate models: an A-scan-based network (NetA) and a B-scan-based network (NetB). NetA utilizes spectrograms obtained via short-time Fourier transform of raw interference fringes to enhance axial resolution of A-scans. NetB was introduced to enhance lateral resolution and reduce speckle noise in B-scan images. The individually trained networks were applied sequentially. We demonstrate the versatility and capability of the proposed framework by visually and quantitatively validating its robust performance. Comparative studies suggest that deep learning utilizing interference fringes can outperform the existing methods. Furthermore, we demonstrate the advantages of the proposed method by comparing our outcomes with multi-B-scan averaged images and contrast-adjusted images. We expect that the proposed framework will be a versatile technology that can improve functionality of OCT.
pWCP is a widely distributed and highly conserved Wolbachia plasmid in Culex pipiens and Culex quinquefasciatus mosquitoes worldwide
Authors: Ghousein Amani , Tutagata Jordan , Schrieke Hans , Etienne Manuel , Chaumeau Victor , Boyer Sebastien , Pages Nonito , Roiz David , Eren A Murat , Cambray Guillaume , Reveillaud Julie 
Published: April 2023

Abstract
Mosquitoes represent the most important pathogen vectors and are responsible for the spread of a wide variety of poorly treatable diseases. Wolbachia are obligate intracellular bacteria that are widely distributed among arthropods and collectively represents one of the most promising solutions for vector control. In particular, Wolbachia has been shown to limit the transmission of pathogens, and to dramatically affect the reproductive behavior of their host through its phage WO. While much research has focused on deciphering and exploring the biocontrol applications of these WO-related phenotypes, the extent and potential impact of the Wolbachia mobilome remain poorly appreciated. Notably, several Wolbachia plasmids, carrying WO-like genes and Insertion Sequences (IS), thus possibly interrelated to other genetic units of the endosymbiont, have been recently discovered. Here we investigated the diversity and biogeography of the first described plasmid of Wolbachia in Culex pipiens (pWCP) in several islands and continental countries around the world—including Cambodia, Guadeloupe, Martinique, Thailand, and Mexico—together with mosquito strains from colonies that evolved for 2 to 30 years in the laboratory. We used PCR and qPCR to determine the presence and copy number of pWCP in individual mosquitoes, and highly accurate Sanger sequencing to evaluate potential variations. Together with earlier observation, our results show that pWCP is omnipresent and strikingly conserved among Wolbachia populations within mosquitoes from distant geographies and environmental conditions. These data suggest a critical role for the plasmid in Wolbachia ecology and evolution, and the potential of a great tool for further genetic dissection and possible manipulation of this endosymbiont.
Swallow Reaction Time in Healthy Adults
Authors: Ambrocio Kevin Renz , Beall Jonathan , (Focht) Garand Kendrea L. 
Published: April 2023

Purpose:
Swallow onset is commonly characterized by bolus location. Quantifying this swallow event using swallow reaction time (SRT) may further inform swallow assessment, but few studies have established normative reference values for SRT using a large sample size and well-tested, standardized, and validated videofluoroscopic swallow study (VFSS) approach. The purpose of this study was to investigate SRT in a large cohort of healthy adults and the effects of demographic (age, sex) and bolus (viscosity, volume) characteristics on SRT using the Modified Barium Swallow Impairment Profile approach.

Method:
Archival VFSSs of 195 healthy adults (21–89 years) were analyzed to obtain SRT across seven standardized swallow tasks ranging from thin to extremely thick liquid and a solid. Descriptive statistics were generated for age, sex, viscosity, and volume. Generalized estimating equation models were computed to explore the effects of demographic and bolus characteristics on SRT.

Results:
Variability in SRT was observed among healthy adults across all swallow tasks. Only viscosity significantly influenced SRT. Specifically, thicker viscosities resulted in longer SRT.

Conclusions:
Wide variability in SRT was observed in this large cohort of healthy adults across various liquid swallow tasks and a solid task. Thicker viscosities, in particular, yielded longer SRT and should be considered a normal variant. This study further provides normative SRT data related to a commonly used VFSS approach, which clinicians can use as reference values for their patient data.