bluuebunny/crossref_metadata_2025_split huggingface dataset:
Urine metabolomics phenotyping and urinary biomarker exploratory in mild cognitive impairment and Alzheimer’s disease
Authors: Wang Yuye , Sun Yu , Wang Yu , Jia Shuhong , Qiao Yanan , Zhou Zhi , Shao Wen , Zhang Xiangfei , Guo Jing , Song Xincheng , Niu Xiaoqian , Peng Dantao 
Published: December 2023

IntroductionAlzheimer’s disease is a prevalent disease with a heavy global burden and is suggested to be a metabolic disease in the brain in recent years. The metabolome is considered to be the most promising phenotype which reflects changes in genetic, transcript, and protein profiles as well as environmental effects. Aiming to obtain a comprehensive understanding and convenient diagnosis of MCI and AD from another perspective, researchers are working on AD metabolomics. Urine is more convenient which could reflect the change of disease at an earlier stage. Thus, we conducted a cross-sectional study to investigate novel diagnostic panels.MethodsWe first enrolled participants from China-Japan Friendship Hospital from April 2022 to November 2022, collected urine samples and conducted an LC–MS/MS analysis. In parallel, clinical data were collected and clinical examinations were performed. After statistical and bioinformatics analyzes, significant risk factors and differential urinary metabolites were determined. We attempt to investigate diagnostic panels based on machine learning including LASSO and SVM.ResultsFifty-seven AD patients, 43 MCI patients and 62 CN subjects were enrolled. A total of 2,140 metabolites were identified among which 125 significantly differed between the AD and CN groups, including 46 upregulated ones and 79 downregulated ones. In parallel, there were 93 significant differential metabolites between the MCI and CN groups, including 23 upregulated ones and 70 downregulated ones. AD diagnostic panel (30 metabolites+ age + APOE) achieved an AUC of 0.9575 in the test set while MCI diagnostic panel (45 metabolites+ age + APOE) achieved an AUC of 0.7333 in the test set. Atropine, S-Methyl-L-cysteine-S-oxide, D-Mannose 6-phosphate (M6P), Spiculisporic Acid, N-Acetyl-L-methionine, 13,14-dihydro-15-keto-tetranor Prostaglandin D2, Pyridoxal 5’-Phosphate (PLP) and 17(S)-HpDHA were considered valuable for both AD and MCI diagnosis and defined as hub metabolites. Besides, diagnostic metabolites were weakly correlated with cognitive functions.DiscussionIn conclusion, the procedure is convenient, non-invasive, and useful for diagnosis, which could assist physicians in differentiating AD and MCI from CN. Atropine, M6P and PLP were evidence-based hub metabolites in AD.
Temporal trends of migraine and tension-type headache burden across the BRICS: implications from the Global Burden of Disease study 2019
Authors: Zhang Yuan-jie , Li Xin-yu , Guo Zhi-lin 
Published: December 2023

BackgroundHeadache disorders have become a significant global public health issue, with a notably high prevalence observed in developing countries. However, few studies have assessed headache disorders trends in Brazil, Russia, India, China and South Africa (BRICS). This study aimed to assess the prevalence of headache disorders in individuals across the BRICS, spanning the years 1990 to 2019.MethodsWe obtained headache disorders data from the Global Burden of Disease 2019 study (GBD2019). This evaluation examined incidence rates, prevalence, and disability-adjusted life-years (DALYs) for migraine and tension-type headache (TTH) across demographic factors like age, gender, year, and country. Migraine and TTH were diagnosed based on the International Classification of Headache Disorders (ICHD-3) criteria. We used disease codes from the International Classification of Diseases, 10th revision to identify migraine and TTH cases. Statistical analyzes included calculating age-standardized rates and estimated annual percentage changes. Future disease burden was projected using a log-linear age-period-cohort model.ResultsIn 2019, India had the highest prevalence of migraine (213890207.93 cases) and TTH (374,453,700 cases). Brazil had the highest migraine age-standardized prevalence rate (18,331 per 100,000) and incidence rate (1,489 per 100,000). For TTH, India had the highest prevalence (26,160 per 100,000) while Russia had the highest incidence (11,512 per 100,000). From 1990 to 2019, China showed the greatest increase in migraine and TTH prevalence. India had the highest migraine (7,687,692) and TTH (741,392) DALYs in 2019.ConclusionMigraine and TTH remain highly prevalent in BRICS nations, inflicting considerable disability burden. While India and China face mounting disease prevalence, Brazil contends with high incidence rates. Tailored interventions based on country-specific epidemiological profiles are warranted to mitigate the public health impact.
Blood lipids, lipid-regulatory medications, and risk of bladder cancer: a Mendelian randomization study
Authors: Cheng Zhang , Ye Fangdie , Liang Yingchun , Xu Chenyang , Zhang Zheyu , Ou Yuxi , Chen Xinan , Dai Xiyu , Mou Zezhong , Li Weijian , Chen Yiling , Zhou Quan , Zou Lujia , Mao Shanhua , Jiang Haowen 
Published: December 2023

BackgroundThe influences of blood lipids and lipid-regulatory medications on the risk of bladder cancer have long been suspected, and previous findings remain controversial. We aimed to assess the causality between blood lipids or lipid-regulatory medications and bladder cancer susceptibility by means of a comprehensive Mendelian Randomization (MR) study.MethodsGenetic proxies from genome-wide association studies (GWAS) of four blood lipid traits and lipid-lowering variants in genes encoding the targets of lipid-regulatory medications were employed. The largest ever GWAS data of blood lipids and bladder cancer involving up to 440,546 and 205,771 individuals of European ancestry were extracted from UK Biobank and FinnGen Project Round 6, respectively. A two-sample bidirectional MR study was performed using the inverse variance weighted as the main method. The heterogeneity, horizontal pleiotropy, MR Steiger, and leave-one-out analyses were also conducted as sensitivity tests.ResultsThere was indicative evidence that genetically predicted low-density lipoprotein cholesterol (LDL-C) affected bladder cancer susceptibility based on 146 single nucleotide polymorphisms (SNPs) with an odds ratio (OR) of 0.776 (95% confidence interval [CI] = 0.625–0.965, p = 0.022). However, this result became non-significant after two SNPs that possibly drove the effect were removed as demonstrated by leave-one-out analysis. The reversed MR analysis suggested that bladder cancer could not affect serum lipid levels. No causal relationship was found between the lipid-lowering effect of lipid-regulatory medications (fibrates, probucol, statins, ezetimibe, proprotein convertase subtilisin/kexin type 9 [PCSK9] inhibitors, and evinacumab) and the risk of bladder cancer. No heterogeneity or pleiotropy was found (all p &gt; 0.05).ConclusionThis MR study revealed for the first time, using the most recent and comprehensive GWAS data to date, that genetically predicted total cholesterol (TC) and the lipid-lowering effect of lipid-regulatory medications had no causal association with bladder cancer susceptibility. We also verified claims from early studies that low-density lipoprotein cholesterol (HDL-C), LDL-C, and triglyceride (TG) are not related to bladder cancer susceptibility either. The current study indicated that lipid metabolism may not be as important in the tumorigenesis of bladder cancer as previously believed.
Sequential PET/CT and pathological biomarker crosstalk predict response to PD-1 blockers alone or combined with sunitinib in propensity score-matched cohorts of cancer of unknown primary treatment
Authors: Youlong Wang , Huang Qi , Zhong Guangqing , Lv Jun , Guo Qinzhi , Ma Yifei , Wang Xinjia , Zeng Jiling 
Published: December 2023

IntroductionThe efficacy of immune checkpoint inhibitors (ICIs), including toripalimab and pembrolizumab, has not been confirmed in the treatment of cancer of unknown primary (CUP), which has a very poor prognosis. Combined with anti-angiogenic therapies, ICIs are hypothesized to be effective in prolonging overall survival. The study aims to give evidence on the treatment effects of sunitinib combined with ICIs, find pathological biomarkers associated with changes in volumetric 18F FDG PET/CT parameters, and investigate inner associations among these markers associated with response on PET/CT.MethodsThe study recruited patients receiving combined treatment (ICIs + sunitinib), compared the effects of combined treatment with those of separate treatment and age-matched negative controls, and analyzed propensity score-matched (PSM) pairs. Markers associated with survival were identified, and their inner associations were tested using structural equation modeling.ResultsA total of 292 patients were enrolled in the final analysis, with 53 patients receiving combined treatment. Survival analysis demonstrated significantly prolonged survival in either combined or separate treatment, with the combined arm showing better response when PSM-paired using pre-treatment whole-body PET/CT parameters. The angiogenic markers KDR and VEGF mediate the PD-1 blockade impact on volumetric value changes in positive and negative manners.ConclusionThe anti-angiogenic agent sunitinib may potentiate PD-1 blockade by diminishing angiogenesis or its downstream effects. The combined separate treatment increased the survival of CUP patients, and the responses could be evaluated using volumetric PET/CT parameters.
Prognostic evaluation of preoperative systemic immune inflammatory index in patients with colorectal cancer
Authors: Zhang Tao , Miao Yong chang 
Published: December 2023

ObjectiveTo investigate the impact of preoperative systemic immune inflammatory index (SII) on the clinical prognosis of patients undergoing colorectal cancer (CRC) surgery.MethodsOne hundred and sixty CRC patients who underwent surgical treatment in our gastrointestinal surgery department from January 2019 to May 2023 were collected. ROC curves were applied to determine the sensitivity and specificity of SII, determine the optimal cut-off value into low SII and high SII groups, compare the clinicopathological data of SII patients in the two groups, and analyze the postoperative survival of patients in the two groups using Kaplan-Meier and Log-rank methods. Univariate and multifactor COX proportional risk regression models were used to analyze clinical prognostic factors.ResultsThe ROC curve showed that the area under the curve of SII for the evaluation of OS in CRC patients was 0.859, and the best cut-off value was 513.53. There was statistical significance (P &lt; 0.05) in terms of tissue grading and diabetes mellitus in both groups. The Kaplan-Meier survival curves showed that the overall survival rates of the SII&lt;513.53 group and the SII≥513.53 group were 50.88% (29/57) and 32.04% (33/103), and the overall survival rate of the SII&lt;513.53 group was significantly higher than that of the SII≥513.53 group, and the difference was statistically significance (χ2 = 8.375, P=0.004). COX proportional risk regression showed that TNM stage, lymph node metastases, anastomotic fistula and SII were independent risk factors affecting postoperative survival in patients with CRC.ConclusionPreoperative SII is an independent prognostic factor for CRC, which is simple, convenient, and non-invasive, and can be used to predict the prognosis of CRC patients.
Enhancing oral squamous cell carcinoma prediction: the prognostic power of the worst pattern of invasion and the limited impact of molecular resection margins
Authors: Hurník Pavel , Režnarová Jana , Chyra Zuzana , Motyka Oldřich , Putnová Barbora Moldovan , Čermáková Zuzana , Blažek Tomáš , Fománek Martin , Gaykalova Daria , Buchtová Marcela , Ševčíková Tereza , Štembírek Jan 
Published: December 2023

ObjectiveOral squamous cell carcinoma (OSCC) originates from the mucosal lining of the oral cavity. Almost half of newly diagnosed cases are classified as advanced stage IV disease, which makes resection difficult. In this study, we investigated the pathological features and mutation profiles of tumor margins in OSCC.MethodsWe performed hierarchical clustering of principal components to identify distinct patterns of tumor growth and their association with patient prognosis. We also used next-generation sequencing to analyze somatic mutations in tumor and marginal tissue samples.ResultsOur analyses uncovered that the grade of worst pattern of invasion (WPOI) is strongly associated with depth of invasion and patient survival in multivariable analysis. Mutations were primarily detected in the DNA isolated from tumors, but several mutations were also identified in marginal tissue. In total, we uncovered 29 mutated genes, mainly tumor suppressor genes involved in DNA repair including BRCA genes; however none of these mutations significantly correlated with a higher chance of relapse in our medium-size cohort. Some resection margins that appeared histologically normal harbored tumorigenic mutations in TP53 and CDKN2A genes.ConclusionEven histologically normal margins may contain molecular alterations that are not detectable by conventional histopathological methods, but NCCN classification system still outperforms other methods in the prediction of the probability of disease relapse.
The MANGO study: a prospective investigation of oxygen enhanced and blood-oxygen level dependent MRI as imaging biomarkers of hypoxia in glioblastoma
Authors: Brighi Caterina , Waddington David E. J. , Keall Paul J. , Booth Jeremy , O’Brien Kieran , Silvester Shona , Parkinson Jonathon , Mueller Marco , Yim Jackie , Bailey Dale L. , Back Michael , Drummond James 
Published: December 2023

BackgroundGlioblastoma (GBM) is the most aggressive type of brain cancer, with a 5-year survival rate of ~5% and most tumours recurring locally within months of first-line treatment. Hypoxia is associated with worse clinical outcomes in GBM, as it leads to localized resistance to radiotherapy and subsequent tumour recurrence. Current standard of care treatment does not account for tumour hypoxia, due to the challenges of mapping tumour hypoxia in routine clinical practice. In this clinical study, we aim to investigate the role of oxygen enhanced (OE) and blood-oxygen level dependent (BOLD) MRI as non-invasive imaging biomarkers of hypoxia in GBM, and to evaluate their potential role in dose-painting radiotherapy planning and treatment response assessment.MethodsThe primary endpoint is to evaluate the quantitative and spatial correlation between OE and BOLD MRI measurements and [18F]MISO values of uptake in the tumour. The secondary endpoints are to evaluate the repeatability of MRI biomarkers of hypoxia in a test-retest study, to estimate the potential clinical benefits of using MRI biomarkers of hypoxia to guide dose-painting radiotherapy, and to evaluate the ability of MRI biomarkers of hypoxia to assess treatment response. Twenty newly diagnosed GBM patients will be enrolled in this study. Patients will undergo standard of care treatment while receiving additional OE/BOLD MRI and [18F]MISO PET scans at several timepoints during treatment. The ability of OE/BOLD MRI to map hypoxic tumour regions will be evaluated by assessing spatial and quantitative correlations with areas of hypoxic tumour identified via [18F]MISO PET imaging.DiscussionMANGO (Magnetic resonance imaging of hypoxia for radiation treatment guidance in glioblastoma multiforme) is a diagnostic/prognostic study investigating the role of imaging biomarkers of hypoxia in GBM management. The study will generate a large amount of longitudinal multimodal MRI and PET imaging data that could be used to unveil dynamic changes in tumour physiology that currently limit treatment efficacy, thereby providing a means to develop more effective and personalised treatments.
Application of non-thermal plasma in medicine: a bibliometric and visualization analysis
Authors: Guo Linna , Yan Miao , Gong Hui , Zou Ziang , Henningsen Anders 
Published: December 2023

Non-thermal plasma has been widely studied in medicine due to its beneficial effect with low thermal or other damages. Numerous medical research studies have been conducted using non-thermal plasma devices; yet, to date, there is no report summarizing this field as a whole. In this study, we aim to perform a bibliometric analysis to assess the state of research, current research priorities, and emerging trends in non-thermal plasma medicine over the last two decades. Publications related to non-thermal plasma medicine (2002–2022) were searched in Web of Science core collection. Bibliometric analysis and visualization was then performed using R-Bibliometrix and CiteSpace. A total of 725 publications related to non-thermal plasma were identified. The annual number of publications has increased continuously over the past two decades. n the field of non-thermal plasma medicine, Germany, China and the United States dominated. Of all institutions, Leibniz Institute for Plasma Science and Technology published the most papers. The journal with highest citation was JOURNAL OF PHYSICS D-APPLIED PHYSICS. Bekeschus Sander published the highest H-value of articles. “Inactivation”, “Apoptosis”, “Chronic Wound” is the primary focus area of non-thermal plasma medicine, “Differentiation”, “Water”, “Gene Expression” and “Cell Death” were the main keywords of the new research hotspots. In this study, bibliometric methods were used to analyze current research priorities and trends in non-thermal plasma medicine and to identify the countries, institutions, authors, and journals with the greatest influence in the field to enhance collaboration and learning.
A systematic review of cognitive behavioral therapy-based interventions for comorbid chronic pain and clinically relevant psychological distress
Authors: Sanabria-Mazo Juan P. , Colomer-Carbonell Ariadna , Fernández-Vázquez Óscar , Noboa-Rocamora Georgina , Cardona-Ros Gemma , McCracken Lance M. , Montes-Pérez Antonio , Castaño-Asins Juan R. , Edo Sílvia , Borràs Xavier , Sanz Antoni , Feliu-Soler Albert , Luciano Juan V. 
Published: December 2023

ObjectiveChronic pain frequently co-occurs with clinically relevant psychological distress. A systematic review was conducted to identify the efficacy of cognitive behavioral therapy-based interventions for patients with these comorbid conditions.MethodsThe systematic search was carried out in Medline, PsycINFO, Web of Science, and Scopus up to March 18th, 2023. Four reviewers independently conducted screenings, extraction, and quality assessment.ResultsTwelve randomized controlled trials and one non-randomized controlled trial involving 1,661 participants that examined the efficacy of Cognitive Behavioral Therapy (nine studies), Mindfulness-based Interventions (three studies), Acceptance and Commitment Therapy (one study), and Behavioral Activation Therapy for Depression (one study) were included. Compared to treatment as usual, six out of eight studies of traditional Cognitive Behavioral Therapy reported significant differences in the reduction of depressive symptoms at post-treatment (d from 1.31 to 0.18) and four out of six at follow-up (d from 0.75 to 0.26); similarly, five out of six reported significant differences in the reduction of anxiety symptoms at post-treatment (d from 1.08 to 0.19) and three out of four at follow-up (d from 1.07 to 0.27). Overall, no significant differences between traditional Cognitive Behavioral Therapy and treatment as usual were reported at post-treatment and follow-up in the studies exploring pain intensity and pain catastrophizing.ConclusionThe available evidence suggests that traditional Cognitive Behavioral Therapy may produce significant benefits for the improvement of depression, anxiety, and quality of life, but not for pain intensity and pain catastrophizing. More evidence is needed to determine the effects of MBI, ACT, and BATD.Systematic review registrationPROSPERO, CRD42021219921.
The effect of animal-assisted intervention on undergraduate students’ perception of momentary stress
Authors: Chute Andrea , Vihos Jill , Johnston Sharon , Buro Karen , Velupillai Nirudika 
Published: December 2023

BackgroundStudent mental wellness is a priority in higher education. Animal Assisted Interventions (AAIs’) are gaining momentum in universities across North America (Dell et al., 2015).AimsThis study explored the relationships between AAIs’, demographic variables, and perceived momentary stress among university students.MethodsUsing a descriptive correlational design, students completed a Perceived Momentary Stress questionnaire that included the Stress Numerical Rating Scale-11 (Stress NRS-11) and the Visual Analog Scale (VAS) to measure perceived stress before and after AAIs’. Data were analyzed using R (4.1.2) (R Core Team, Vienna, Austria) to identify relationships between students’ perceptions of momentary stress, AAIs’ and sociodemographic and demographic variables.ResultsFirst-year students, female students, and students identifying as sexual minorities were found to benefit the most from AAIs’.ConclusionResults from this study reflect relationships between exposure to animal-assisted interventions and student demographic variables.
The nudging effect of AIGC labeling on users’ perceptions of automated news: evidence from EEG
Authors: Liu Yuhan , Wang Shuining , Yu Guoming 
Published: December 2023

IntroductionIn the context of generative AI intervention in news production, this study primarily focuses on the impact of AI-generated content (AIGC) labeling cues on users’ perceptions of automated news based on nudge theory.MethodsA 2 (authorship disclosure nudge cues: with vs. without AIGC label) × 2 (automated news type: descriptive vs. evaluative news) within-subject experiment was carried out. Thirty-two participants were recruited to read automated news, evaluate the perceived content trustworthiness, and record with an EEG device.ResultsThe results demonstrated that disclosure of AIGC labeling significantly reduced the trustworthiness perception of both fact-based descriptive and opinion-based evaluative news. In EEG, the delta PSD, theta PSD, alpha PSD, and beta PSD with disclosure of AIGC labeling were significantly higher than those without AIGC labeling. Meanwhile, in descriptive news conditions, TAR with AIGC labeling was higher than without AIGC labeling.DiscussionThese results suggested that AIGC labeling significantly improves the degree of attention concentration in reading and deepens the degree of cognitive processing. Users are nudged by AIGC labeling to shift their limited attention and cognitive resources to re-evaluate the information quality to obtain more prudent judgment results. This helps to supplement the theoretical perspective on transparent disclosure nudging in the Internet content governance research field, and it can offer practical guidance to use content labeling to regulate the media industry landscape in the face of AI’s pervasive presence.