bluuebunny/crossref_metadata_2025_split huggingface dataset:
TRIM11 promotes cell proliferation of non‐small cell lung cancer through the inhibition of ferroptosis by AMPK
Authors: Liang Zheng , Li Jian , Zhang Guoliang , Chen Menghui 
Published: August 2023

AbstractLung cancer is one of the leading causes of cancer‐related deaths worldwide, with non‐small cell lung cancer (NSCLC) being the most prevalent type. This study investigates the role of TRIM11 gene in NSCLC and its underlying mechanism. NSCLC patients were recruited from our hospital and showed upregulated TRIM11 mRNA and protein expressions. Patients with high TRIM11 expression had lower survival rates. TRIM11 gene was found to promote cell proliferation and reduce ROS‐induced ferroptosis in NSCLC. Additionally, TRIM11 gene induced AMPK expression and its regulation affected TRIM11's effects on cell proliferation and ferroptosis in NSCLC. IP analysis revealed that TRIM11 protein interacted with AMPK protein in NSCLC. These data confirmed that TRIM11 promotes cell proliferation and reduces ROS‐induced ferroptosis in NSCLC through AMPK. Hence, TRIM11 is a potential target for the treatment of NSCLC and other cancers.
Methodological assessment and overall confidence in the results of systematic reviews with meta‐analyses focusing on traumatic dental injuries: A cross‐sectional study
Authors: Nagendrababu Venkateshbabu , Faggion Clovis M. , Gopinath Vellore Kannan , Narasimhan Srinivasan , Duncan Henry F. , Levin Liran , Abbott Paul V. , Dummer Paul M. H. 
Published: August 2023

AbstractBackground/AimsHigh methodological quality is required to interpret results of systematic reviews (SRs) in a reliable and accurate manner. The primary aim of this study was to appraise the methodologic quality of SRs with meta‐analysis within the field of traumatic dental injuries using the A MeaSurement Tool to Assess systematic Reviews (AMSTAR) 2 tool and assess overall confidence in their results. A secondary aim was to identify potential predictive factors associated with methodological quality.Materials and MethodsSRs with meta‐analyses published in English in the field of traumatic dental injuries from inception to March 2023 were identified. The methodological quality of the included reviews was assessed using the AMSTAR 2 checklist. Two independent evaluators scored each AMSTAR 2 item as “yes” if it was adequately addressed, “partial yes” if it was partially addressed, and “no” if it was not addressed. The overall confidence in the results of each review was classified as “High,” “Moderate,” “Low,” or “Critically low.” Using multiple regression, the relationship between five predictor variables (journal impact factor, year of publication, number of authors, journal adherence to Preferred Reporting Items for Systematic reviews and Meta‐analyses [PRISMA] guidelines and a priori protocol registration) and the total AMSTAR 2 scores was analyzed. The p‐value was 5%.ResultsForty‐one SRs were included. The overall confidence in the results of 13 reviews was categorized as “Critically low,” 18 as “Low,” 3 as “Moderate” and 7 as “High.” Among the five predictor variables analyzed statistically, impact factor of the journal and year of publication significantly influenced the total AMSTAR 2 scores. The number of authors, adherence to PRISMA guidelines, and a priori protocol registration had no significant impact on AMSTAR 2 scores.ConclusionThe overall confidence in the results of SRs with meta‐analysis within the field of traumatic dental injuries was “Low” or “Critically Low” in the vast majority of studies (31 of 41). SRs with meta‐analyses published in journals with higher impact factors and more recent publications had significantly higher methodological quality.
Abnormal voxel‐mirrored homotopic connectivity in first‐episode, drug‐naïve patients with obsessive–compulsive disorder
Authors: Xu Yinhuan , Zhang Yan 
Published: August 2023

AbstractPrior studies suggest that obsessive–compulsive disorder (OCD) can cause both anatomical and functional variations in the brain, but to date, altered functional synchronization between two functional hemispheres remains unclear in OCD patients. Voxel‐mirrored homotopic connectivity (VMHC) is defined as the temporal correlation of spontaneous low‐frequency blood oxygenation level‐dependent signal fluctuations across mirror regions of hemisphere revealing the homotopic connectivity between each voxel in one hemisphere and its mirrored counterpart in the contralateral hemisphere. To investigate the alterations of brain regional function and VMHC in patients with OCD, the current study enrolled 103 OCD patients and 118 healthy controls, undergoing resting‐state functional magnetic resonance imaging. Compared to healthy controls (HCs), patients had decreased VMHC in bilateral cerebellum, lingual and fusiform gyrus; bilateral paracentral lobule, pre and postcentral gyrus; and bilateral superior and middle temporal gyrus, putamen and bilateral precuneus without global signal regression. And we found mostly similar results after regressing global signals; apart from the regions mentioned above, decreased in bilateral cuneus and calcarine was also showed. Furthermore, the mean VMHC values of the left cerebellum were negatively correlated with the obsession scores (ρ = −.204, π = .039). The decreased values in right fusiform and putamen were negatively correlated with duration of disease (ρ = −.205, π = .038; ρ = −.196, π = .047). We confirmed a significant VMHC reduction in OCD patients in broad areas. Our findings suggest that the patients tend to disconnect information exchange across hemispheres.
Spatial pattern consistency and repeatability of proximal soil sensor data for digital soil mapping
Authors: Ahrends Hella Ellen , Simojoki Asko , Lajunen Antti 
Published: August 2023

AbstractData from proximal soil sensors can facilitate digital soil mapping at high spatial resolutions. However, their use for predicting static soil properties, such as texture, is affected by spatio‐temporal changes in environmental and measurement conditions. In this research study, seasonal changes in spatial patterns and repeatability of data provided by a platform that simultaneously measures the red (Red) and near infrared (NIR) reflectance, apparent soil electrical conductivity (ECa), temperature, and volumetric moisture content of topsoil (at 3–6 cm depth) were assessed. Test fields are located in Southern Finland with textures dominated by clay and fine sandy till. During single scans, mean relative differences between the data from duplicated measurement points ranged from ~4% to 6% and were the highest for temperature and Red values. The consistency of spatial patterns across seasons (spring and autumn 2021 and 2022) was the highest for ECa values, and the lowest for NIR. ECa and moisture were significant for predicting the clay contents at a cereal grain crop site, whereas temperature was significant at grass ley sites. Errors were generally lower when using spring data compared with autumn data (RMSE ranging from 4.8% to 11.1% for the data from different fields and measurement dates). For the fields, where static soil properties change at small spatial scales, spatially detailed moisture and temperature data support the understanding of seasonal changes in the spatial patterns derived from multi‐sensor data, and the corresponding changes in the performance of calibration models.
Interictal high‐frequency oscillations, spikes, and connectivity profiles: A fingerprint of epileptogenic brain pathologies
Authors: Sklenarova Barbora , Zatloukalova Eva , Cimbalnik Jan , Klimes Petr , Dolezalova Irena , Pail Martin , Kocvarova Jitka , Hendrych Michal , Hermanova Marketa , Gotman Jean , Dubeau François , Hall Jeffery , Pana Raluca , Frauscher Birgit , Brazdil Milan 
Published: August 2023

AbstractObjectiveFocal cortical dysplasia (FCD), hippocampal sclerosis (HS), nonspecific gliosis (NG), and normal tissue (NT) comprise the majority of histopathological results of surgically treated drug‐resistant epilepsy patients. Epileptic spikes, high‐frequency oscillations (HFOs), and connectivity measures are valuable biomarkers of epileptogenicity. The question remains whether they could also be utilized for preresective differentiation of the underlying brain pathology. This study explored spikes and HFOs together with functional connectivity in various epileptogenic pathologies.MethodsInterictal awake stereoelectroencephalographic recordings of 33 patients with focal drug‐resistant epilepsy with seizure‐free postoperative outcomes were analyzed (15 FCD, 8 HS, 6 NT, and 4 NG). Interictal spikes and HFOs were automatically identified in the channels contained in the overlap of seizure onset zone and resected tissue. Functional connectivity measures (relative entropy, linear correlation, cross‐correlation, and phase consistency) were computed for neighboring electrode pairs.ResultsStatistically significant differences were found between the individual pathologies in HFO rates, spikes, and their characteristics, together with functional connectivity measures, with the highest values in the case of HS and NG/NT. A model to predict brain pathology based on all interictal measures achieved up to 84.0% prediction accuracy.SignificanceThe electrophysiological profile of the various epileptogenic lesions in epilepsy surgery patients was analyzed. Based on this profile, a predictive model was developed. This model offers excellent potential to identify the nature of the underlying lesion prior to resection. If validated, this model may be particularly valuable for counseling patients, as depending on the lesion type, different outcomes are achieved after epilepsy surgery.
Confounding effects of snow cover on remotely sensed vegetation indices of evergreen and deciduous trees: An experimental study
Authors: Wang Ran , Springer Kyle R. , Gamon John A. 
Published: August 2023

AbstractLocated at northern latitudes and subject to large seasonal temperature fluctuations, boreal forests are sensitive to the changing climate, with evidence for both increasing and decreasing productivity, depending upon conditions. Optical remote sensing of vegetation indices based on spectral reflectance offers a means of monitoring vegetation photosynthetic activity and provides a powerful tool for observing how boreal forests respond to changing environmental conditions. Reflectance‐based remotely sensed optical signals at northern latitude or high‐altitude regions are readily confounded by snow coverage, hampering applications of satellite‐based vegetation indices in tracking vegetation productivity at large scales. Unraveling the effects of snow can be challenging from satellite data, particularly when validation data are lacking. In this study, we established an experimental system in Alberta, Canada including six boreal tree species, both evergreen and deciduous, to evaluate the confounding effects of snow on three vegetation indices: the normalized difference vegetation index (NDVI), the photochemical reflectance index (PRI), and the chlorophyll/carotenoid index (CCI), all used in tracking vegetation productivity for boreal forests. Our results revealed substantial impacts of snow on canopy reflectance and vegetation indices, expressed as increased albedo, decreased NDVI values and increased PRI and CCI values. These effects varied among species and functional groups (evergreen and deciduous) and different vegetation indices were affected differently, indicating contradictory, confounding effects of snow on these indices. In addition to snow effects, we evaluated the contribution of deciduous trees to vegetation indices in mixed stands of evergreen and deciduous species, which contribute to the observed relationship between greenness‐based indices and ecosystem productivity of many evergreen‐dominated forests that contain a deciduous component. Our results demonstrate confounding and interacting effects of snow and vegetation type on vegetation indices and illustrate the importance of explicitly considering snow effects in any global‐scale photosynthesis monitoring efforts using remotely sensed vegetation indices.
Do global change variables alter mangrove decomposition? A systematic review
Authors: Simpson Loraé T. , Chapman Samantha K. , Simpson Lance M. , Cherry Julia A. 
Published: August 2023

AbstractAimGlobal change is expected to modify the magnitude and trajectory of organic matter decomposition in mangrove ecosystems. Yet, the degree and direction of that change is unknown, especially considering the large C storage potential that mangroves provide. We performed a systematic review of primary literature to examine the relationships between genus‐specific litter quality, latitude or other global change proxies and decomposition of mangrove litter fractions.LocationGlobal.Time Period1976–2021.TaxonMangroves.MethodsWe compiled a dataset of 480 decomposition rates, including species, litter fraction, latitude, and relevant biophysical data. We investigated the influence of genera, tissue type, latitude, and global change proxies on decomposition rates using linear models and qualitative approaches. We also performed calculations to determine the potential importance of the decomposition process on the root litter biomass C pool in the context of blue C significance.ResultsCollectively, latitudinal relationships suggest that factors other than temperature, such as tissue type and genus, may regulate decay rates within mangroves' distributional range. Decay rates of leaf litter, roots, and wood converged on a value of 0.009 ± 0.0005, 0.002 ± 0.0001, and 0.001 ± 0.0003, respectively, across continents and geomorphological settings. Our calculations suggest that small changes in decomposition rate will not elicit large changes in blue C storage potential.ConclusionsThe main drivers behind variability in mangrove biomass decay rates detected across the distributional range remain uncertain. However, the small latitudinal range that mangroves inhabit and the submerged environment within which litter decomposes suggest that decay depends on species‐specific responses or biotic interactions among species to global change drivers. Few studies have examined global change impacts directly, and variability in decay and lack of representation of some mangrove groups in the literature suggest that implications for blue C are important to consider.
Developing an artificial intelligence–based diagnostic model of headaches from a dataset of clinic patients' records
Authors: Katsuki Masahito , Matsumori Yasuhiko , Kawamura Shin , Kashiwagi Kenta , Koh Akihito , Tachikawa Senju , Yamagishi Fuminori 
Published: August 2023

AbstractObjectiveWe developed an artificial intelligence (AI)‐based headache diagnosis model using a large questionnaire database from a headache‐specializing clinic.BackgroundMisdiagnosis of headache disorders is a serious issue and AI‐based headache diagnosis models are scarce.MethodsWe developed an AI‐based headache diagnosis model and conducted internal validation based on a retrospective investigation of 6058 patients (4240 training dataset for model development and 1818 test dataset for internal validation) diagnosed by a headache specialist. The ground truth was the diagnosis by the headache specialist. The diagnostic performance of the AI model was evaluated.ResultsThe dataset included 4829/6058 (79.7%) patients with migraine, 834/6058 (13.8%) with tension‐type headache, 78/6058 (1.3%) with trigeminal autonomic cephalalgias, 38/6058 (0.6%) with other primary headache disorders, and 279/6058 (4.6%) with other headaches. The mean (standard deviation) age was 34.7 (14.5) years, and 3986/6058 (65.8%) were female. The model's micro‐average accuracy, sensitivity (recall), specificity, precision, and F‐values for the test dataset were 93.7%, 84.2%, 84.2%, 96.1%, and 84.2%, respectively. The diagnostic performance for migraine was high, with a sensitivity of 88.8% and c‐statistics of 0.89 (95% confidence interval 0.87–0.91).ConclusionsOur AI model demonstrated high diagnostic performance for migraine. If secondary headaches can be ruled out, the model can be a powerful tool for diagnosing migraine; however, further data collection and external validation are required to strengthen the performance, ensure the generalizability in other outpatients, and demonstrate its utility in real‐world settings.
Accounting for dispersal and intraspecific variation in forecasts of species distribution under climate change
Authors: Zhang Sheng‐Nan , Kubota Kôhei 
Published: August 2023

Abstract
Dispersal and local adaptation play an important role in driving species distributions under climate change. Many studies aim to estimate relationships between species occurrences and environmental variables to predict range shift and biodiversity loss, ignoring dispersal and intraspecific variation contributing to complex spatial and temporal dynamics.
We accounted for dispersal and intraspecific variation in forecasts of species distribution under climate change with species distribution models (SDMs) using two cold‐adapted, low‐dispersal Platycerus species (Coleoptera: Lucanidae), each with distinct subspecies distributions, as focus species. The results showed that the subspecies‐level model performed significantly better than the species‐level model when considering dispersal constraints in SDMs. Whether or not dispersal or intraspecific variation is accounted for, the predicted species range of Platycerus albisomni is expected to decrease in the future. For Platycerus takakuwai, accounting for dispersal constraints in SDMs indicated that its potential distribution area would increase at the subspecies level under climate change, but decrease at the species level.
These divergent results show that SDMs at the subspecies level can detect impacts of climate change that may be overlooked in species‐level models. Therefore, models that consider intraspecific variation and dispersal constraints may provide a more realistic perspective on the impacts of climate change.
Because accurate mapping of potential habitats is needed for conservation purposes, demographic studies should include dispersal explicitly and explore how and when intraspecific variation in dispersal affects local population dynamics. This approach could help evaluate species' habitat shifts, thus enabling suitable conservation strategies.
A combination of three antioxidants decreases the impact of rural particulate pollution in Normal human keratinocytes
Authors: Ortiz Angelica , Sun Hong , Kluz Thomas , Matsui Mary S. , Carle Tiffany , Gan David , Gordon Terry , Gildea Lucy , Costa Max 
Published: August 2023

AbstractObjectiveIt is well established that exposure of human skin to airborne pollution, particularly in the form of particulate matter sized 2.5 μm (PM2.5), is associated with oxidative stress, DNA damage and inflammation, leading to premature signs of skin aging. Because much of the damage results from oxidative stress, we examined the effects of a topical composition containing three antioxidants in an in vitro model system to assess the potential for amelioration of premature aging. The use of multiple antioxidants was of interest based on the typical composition of therapeutic skincare products. It is important to determine the efficacy of multiple antioxidants together and develop a short‐term assay for larger scale efficacy testing.MethodsNormal human epidermal keratinocytes were exposed to a rural‐derived source of PM2.5 in the presence and absence of an antioxidant mixture of resveratrol, niacinamide and GHK peptide. Endpoints related to inflammation, premature aging and carcinogenicity were monitored after 5 h of exposure and included IL‐6, CXCL10, MMP‐1 and NRF2. Differentially expressed genes were monitored by RNA‐seq.ResultsPre‐treatment of keratinocytes with the antioxidant preparation in the absence of PM2.5 reduced baseline levels of MMP‐1, IL‐6 and CYP1A1 and reduced PM2.5‐induced increases in all four endpoints, MMP‐1, IL‐6, CXCL10 and CYP1A1. Antioxidants significantly increased NRF2 protein in the presence of PM2.5, indicating a protective response. RNA‐seq interrogation of antioxidant‐treated cells further showed increased expression of NRF2 inducible genes. The expression of CYP1A1 and genes related to aryl hydrocarbon activation were induced by PM2.5 and suppressed by antioxidants.ConclusionsSpecific signalling pathways known to be correlated with skin inflammation and aging were examined based on their suitability for use in efficacy testing for the prevention of skin damage due to ambient hydrocarbon pollution. Endpoints examined after only 5 h of exposure provide a useful method amenable to high through‐put screening. The results obtained reinforce the concept that a multiple antioxidant preparation, topically applied, may reduce pro‐inflammatory signalling and cellular damage and thereby reduce premature skin aging due to exposure to rural‐derived airborne pollution.
Feeding and eating disorders among hospitalized children and adolescents in Thailand: A 5‐year secondary national database analysis
Authors: Manaboriboon Boonying , In‐iw Supinya , Bongsebandhu‐phubhakdi Chansuda , Arunakul Jiraporn , Kamol Napapailin , Areekul Wirote , Thunyapipat Chaloempong , Leelathipkul Lalit , Areemit Rosawan 
Published: August 2023

AbstractAimsThis study aimed to present national data for children and adolescents requiring hospitalization in Thailand.BackgroundFeeding and eating disorders can cause life‐threatening and negative health impacts. In Asia, the prevalence is rising. Data from children and adolescents in Thailand are limited.DesignThis study is a retrospective study of the national database.MethodsData from the National Health Security Office database on Universal Health Insurance Coverage (2015–2019) of 0–17‐year‐olds were analysed by diagnosis (anorexia nervosa, bulimia nervosa, vomiting associated with psychological disturbances, other eating disorders and unspecified eating disorders). Descriptive statistics, chi‐square test and multinomial logistic regression were used.ResultsThere were 163 patients, averaging 9.4 ± 5.2 years old, requiring 205 admissions. Most diagnoses showed stable trends, except for a slight decrease in anorexia and unspecified eating disorders. Most admissions were due to unspecified eating disorders and psychogenic vomiting, followed by anorexia nervosa. The overall prevalence was 3.86 per 100 000 admissions. Anorexia had the highest hospital costs and re‐admission rates. Anorexia nervosa was most prevalent in early adolescence and females, while bulimia nervosa was most prominent in middle adolescence and had a male predominance.ConclusionEarly recognition in clinical practice could increase early detection and improve outcomes.
Status quo among fragmentation and consolidation: Public dispute resolution agencies in Ontario, Canada
Authors: Pohler Dionne , Weinberg Bradley R. 
Published: August 2023

AbstractWe explore changes in the Ontario Labour Relations Board and the Ministry of Labour's Dispute Resolution Services over time. The core purpose of these public dispute resolution agencies in Canada has not changed since their creation, even amidst legislative fragmentation and consolidation, different governing parties, periods of public sector austerity, changing patterns of unionization and evolving court decisions.