bluuebunny/crossref_metadata_2025_split huggingface dataset:
Perturbations in gut microbiota composition in patients with autoimmune neurological diseases: a systematic review and meta-analysis
Authors: Deng Xiaolin , Gong Xue , Zhou Dong , Hong Zhen 
Published: February 2025

Studies suggest that gut dysbiosis occurs in autoimmune neurological diseases, but a comprehensive synthesis of the evidence is lacking. Our aim was to systematically review and meta-analyze the correlation between the gut microbiota and autoimmune neurological disorders to inform clinical diagnosis and therapeutic intervention. We searched the databases of PubMed, Embase, Web of Science, and the Cochrane Library until 1 March 2024 for research on the correlation between gut microbiota and autoimmune neurological disorders. A total of 62 studies provided data and were included in the analysis (n = 3,126 patients, n = 2,843 healthy individuals). Among the included studies, 42 studies provided data on α-diversity. Regarding α-diversity, except for Chao1, which showed a consistent small decrease (SMD = −0.26, 95% CI = −0.45 to −0.07, p &lt; 0.01), other indices demonstrated no significant changes. While most studies reported significant differences in β-diversity, consistent differences were only observed in neuromyelitis optica spectrum disorders. A decrease in short-chain fatty acid (SCFA)-producing bacteria, including Faecalibacterium and Roseburia, was observed in individuals with autoimmune encephalitis, neuromyelitis optica spectrum disorders, myasthenia gravis, and multiple sclerosis. Conversely, an increase in pathogenic or opportunistic pathogens, including Streptococcus and Escherichia-Shigella, was observed in these patients. Subgroup analyses assessed the confounding effects of geography and immunotherapy use. These findings suggest that disturbances of the gut flora are associated with autoimmune neurological diseases, primarily manifesting as non-specific and shared microbial alterations, including a reduction in SCFA-producing bacteria and an increase in pathogenic or opportunistic pathogens.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/, identifier CRD42023410215.
Efficacy and safety of first-line PD-1/PD-L1 inhibitor in combination with CTLA-4 inhibitor in the treatment of patients with advanced non-small cell lung cancer: a systemic review and meta-analysis
Authors: Zhao Huimin , Huang Shanshan , Wu Jianyu , Lu Yanlan , Zou Yue , Zeng Haijian , Li Chunlan , Wang Jin , Zhang Xiaochen , Duan Siliang , Liang Weiming 
Published: February 2025

IntroductionThe combination of PD-1/PD-L1 inhibitor with CTLA-4 inhibitor for advanced non-small cell lung cancer(NSCLC) is presently a significant area of research, however its clinical application remains contentious. This meta-analysis aimed to assess the efficacy and safety of first-line PD-1/PD-L1 inhibitor in combination with CTLA-4 inhibitor (CP) in the treatment of patients with advanced NSCLC.MethodsA systemic search was conducted in four databases (PubMed, Cochrane library, Embase, and Web of Science) from their establishment until January 17, 2024, for randomized controlled trials that investigated the use of the first-line PD-1/PD-L1 inhibitor plus CTLA-4 inhibitor in patients with advanced NSCLC. Progression-free survival (PFS), overall survival (OS), objective response rate (ORR), disease control rate (DCR), and adverse events (AEs) were subjected to meta-analyses.ResultsTotally 7 eligible randomized controlled trials including 4682 people were included. Two comparative analyses were performed: CP versus chemotherapy, CP versus PD-1/PD-L1 inhibitor (P). Compared with the chemotherapy group, CP improved OS (HR: 0.84, 95% CI: 0.75-0.94, p&lt;0.05) but not PFS (HR: 0.94, 95%CI: 0.73-1.20, p = 0.63) or ORR (OR: 1.16, 95% CI: 0.79-1.71, p = 0.45). In terms of toxicity, CP had slightly fewer any AEs compared to chemotherapy (RR: 0.94, 95% CI: 0.91-0.97; p&lt;0.05). Compared to the P group, there was no significant difference in OS (MD: -0,25, 95% CI: -2.47-1.98, p = 0.83), PFS (MD: -0.91, 95% CI: -3.19-1.36, p = 0.43), and ORR (OR:1.05, 95% CI. 0.80-1.36, p = 0.73). Subgroup analysis revealed that CP provided superior OS compared with P in patients with PD-L1 expression &lt; 1%.ConclusionCP was a feasible and safe first-line therapy for patients with advanced NSCLC. Specifically, CP may function as a therapeutic alternative for individuals with low or negative PD-L1 expression, resulting in enhanced long-term outcomes compared to chemotherapy or P. Further randomized controlled trials with prolonged follow-up periods are necessary to validate these results, particularly focusing on efficacy in patients with differing PD-L1 expression levels, to improve the stratified implementation of immunotherapy.Systematic review registrationhttps://www.crd.york.ac.uk/prospero/display_record.php?ID=CRD42024621116, identifier CRD42024621116.
Comparison of air-liquid interface transwell and airway organoid models for human respiratory virus infection studies
Authors: Ekanger Camilla T. , Dinesh Kumar Nilima , Koutstaal Rosanne W. , Zhou Fan , Beukema Martin , Waldock Joanna , Jochems Simon P. , Mulder Noa , van Els Cécile A. C. M. , Engelhardt Othmar G. , Mantel Nathalie , Buno Kevin P. , Brokstad Karl Albert , Engelsen Agnete S. T. , Cox Rebecca J. , Melgert Barbro N. , Huckriede Anke L. W. , van Kasteren Puck B. 
Published: February 2025

IntroductionComplex in vitro respiratory models, including air-liquid interface (ALI) transwell cultures and airway organoids, have emerged as promising tools for studying human respiratory virus infections. These models address several limitations of conventional two-dimensional cell line and animal models. However, the lack of standardized protocols for the application of these models in infection studies limits the possibilities for comparing results across different research groups. Therefore, we applied a collaborative approach to harmonize several aspects of experimental methodology between different research laboratories, aiming to assess the comparability of different models of human airway epithelium in the context of respiratory viral infections.MethodsIn this study, we compared three different models of human respiratory epithelium: a primary human bronchial epithelial cell-derived ALI transwell model, and two airway organoid models established from human airway- and lung-derived adult stem cells. We first assessed the presence of various differentiated cell types using immunofluorescence microscopy. Using a shared stock of influenza A virus, we then assessed viral growth kinetics, epithelial cytokine responses, and serum-mediated inhibition of infection.ResultsThe presence of club, goblet, and ciliated cells was confirmed in all models. We observed similar viral replication kinetics with a &gt;4-log increase in virus titre across all models using a TCID50 assay. Following infection, a reproducible antiviral cytokine response, including a consistent increase in CXCL10, IL-6, IFN-λ1, IFN-λ2/3, and IFN-β, was detected across all models. Finally, neutralization was assessed by pre-incubation of virus with human serum. Reduced viral replication was observed across all models, resulting in a 3- to 6-log decrease in virus titres as quantified by TCID50.DiscussionIn conclusion, all three models produced consistent results regardless of the varying cell sources, culturing approaches, and infection methods. Our collaborative efforts to harmonize infection experiments and compare ALI transwell and airway organoid models described here aid in advancing our understanding and improving the standardization of these complex in vitro respiratory models for future studies.
Assessing the inflammation in pediatric MOGAD: Significance of CSF HMGB1 and related biomarkers
Authors: Wang Xin , Zhao Ruibin , Fan Jiayu , Liu Chong , Zhang Li , Yang Huafang , Wang Weiyi 
Published: February 2025

Background and purposeMyelin-oligodendrocyte glycoprotein antibody associated disease (MOGAD) is a common inflammatory disease of the central nervous system (CNS) in children that can lead to demyelination. Evaluation and monitoring of biomarkers associated with its pathogenesis would provide vital information on disease progression and therapeutic assessment.MethodsWe assessed NLRP3, HMGB1, IL-6, and IL-33 levels in the cerebrospinal fluid (CSF) of pediatric patients with MOGAD at different time points and their association with the risk of disease. We recruited 30 patients with MOGAD (20 in the acute phase and 10 in remission) and 10 control patients with noninflammatory demyelinating disease. The expanded disability status scale (EDSS) was used to assess disease severity.ResultsNLRP3, HMGB1, and IL-6 levels in the CSF were significantly higher in patients with MOGAD during the acute phase than in remission (P &lt; 0.05, P &lt; 0.05, P &lt; 0.05) and the control group (P &lt; 0.01, P &lt; 0.0001, P &lt; 0.01). HMGB1 levels were significantly correlated with NLRP3 levels (P &lt; 0.01) during the acute phase. Moreover, we found notable correlation between HMGB1 levels and EDSS (P &lt; 0.05) scores. IL-6 levels were significantly correlated with the total number of attacks (P &lt; 0.05), but not with EDSS scores.ConclusionsThese findings suggest that NLRP3, HMGB1, and IL-6 in the CSF may be potential therapeutic targets and are at least partly involved in the pathogenesis of pediatric MOGAD. HMGB1 in the CSF may be a potential biomarker correlating with pediatric MOGAD severity. Further investigations are warranted to validate potential cytokine pathways between that NLRP3, HMGB1, and IL-6 of MOGAD.
Motives for choice of work in healthcare and individual performance of medical doctors working in public multispecialty hospitals in Warsaw
Authors: Chmielewska Malgorzata , Stokwiszewski Jakub , Markowska Justyna , Hermanowski Tomasz 
Published: February 2025

ObjectiveThis study explores the relationship between the motives driving people to work in healthcare and the individual work performance of public hospital doctors. The results are analyzed in terms of changes necessary to improve work performance among medical practitioners.MethodsA cross-sectional study was conducted among 249 medical doctors from 22 randomly selected inpatient departments of multidisciplinary public hospitals in Warsaw. Data were collected using self-administered structured questionnaires developed by WHO. Herzberg model as modified by the authors was used to identify key motives for choosing a job in healthcare. A chi-square test was used to analyze the correlations between the reasons for choosing to work as a medical practitioner and socio-demographic variables. The interdependence between individual performance and the main reason for choosing a career in healthcare was examined with a Kruskal-Wallis test.ResultsThe research results indicate a statistically significant relationship between the main motive for choosing a career in healthcare—namely, the individual motivation of hospital doctors, and individual work performance as measured by “notion that my work is valuable in itself” (p = 0.003) and “responsibility for outcomes” (p = 0.024) response categories. Doctors whose main motive for choosing the profession was to help patients are more likely to feel high satisfaction with “The notion that my work is valuable in itself” than others (42.5% vs. 27.0% for “other” and 28.3% for “Nature of the work itself”) and with “The sense of responsibility for the outcomes” (50.0% vs. 35.1% for “other” and 36.3% for “Nature of the work itself”).ConclusionsWhen examining factors affecting the professional performance of medical doctors, aspects related to the original main motive for choosing this profession and for working in the healthcare must not be disregarded. The distinctive features of this profession, including personal qualities, should perhaps be considered in the admission criteria for medical studies.
Machine learning-based myocardial infarction bibliometric analysis
Authors: Fang Ying , Wu Yuedi , Gao Lijuan 
Published: February 2025

PurposeThis study analyzed the research trends in machine learning (ML) pertaining to myocardial infarction (MI) from 2008 to 2024, aiming to identify emerging trends and hotspots in the field, providing insights into the future directions of research and development in ML for MI. Additionally, it compared the contributions of various countries, authors, and agencies to the field of ML research focused on MI.MethodA total of 1,036 publications were collected from the Web of Science Core Collection database. CiteSpace 6.3.R1, Bibliometrix, and VOSviewer were utilized to analyze bibliometric characteristics, determining the number of publications, countries, institutions, authors, keywords, and cited authors, documents, and journals in popular scientific fields. CiteSpace was used for temporal trend analysis, Bibliometrix for quantitative country and institutional analysis, and VOSviewer for visualization of collaboration networks.ResultsSince the emergence of research literature on medical imaging and machine learning (ML) in 2008, interest in this field has grown rapidly, particularly since the pivotal moment in 2016. The ML and MI domains, represented by China and the United States, have experienced swift development in research after 2015, albeit with the United States significantly outperforming China in research quality (as evidenced by the higher impact factors of journals and citation counts of publications from the United States). Institutional collaborations have formed, notably between Harvard Medical School in the United States and Capital Medical University in China, highlighting the need for enhanced cooperation among domestic and international institutions. In the realm of MI and ML research, cooperative teams led by figures such as Dey, Damini, and Berman, Daniel S. in the United States have emerged, indicating that Chinese scholars should strengthen their collaborations and focus on both qualitative and quantitative development. The overall direction of MI and ML research trends toward Medicine, Medical Sciences, Molecular Biology, and Genetics. In particular, publications in “Circulation” and “Computers in Biology and Medicine” from the United States hold prominent positions in this study.ConclusionThis paper presents a comprehensive exploration of the research hotspots, trends, and future directions in the field of MI and ML over the past two decades. The analysis reveals that deep learning is an emerging research direction in MI, with neural networks playing a crucial role in early diagnosis, risk assessment, and rehabilitation therapy.
The role of FTO in m6A RNA methylation and immune regulation in Staphylococcus aureus infection-related osteomyelitis
Authors: Liu Sijing , Li Kai , Long Changhai , Lao Mingwu , Ma Biao , Liu Changquan , He Haoyuan , Wang Chunjiang , Chen Wangzhu , Yu Bin 
Published: February 2025

BackgroundRegulators of n6-methyladenosine (m6A) RNA modification play important roles in many diseases; however, their involvement in Staphylococcus aureus (S. aureus)-related osteomyelitis remains inadequately explored. Therefore, this study aims to investigate the role of m6A in S. aureus infection-related osteomyelitis and elucidate its underlying mechanisms.MethodsWe downloaded the S. aureus infection-related osteomyelitis infection dataset GSE30119 from the Gene Expression Omnibus database. Initially, we constructed a diagnostic model based on m6A genes and predicted the hub node miRNAs and transcription factors by constructing a protein–protein interaction network. Subsequently, a prognostic model was built using LASSO regression, the receiver operating characteristic curve of the model was plotted, and the predictive performance of the diagnostic model was validated. Further, unsupervised clustering analysis, gene set enrichment analysis (GSEA), and gene set variation analysis (GSVA) were employed to assess immune cell infiltration. Additionally, we validated the expression of fat mass and obesity-associated protein (FTO) in S. aureus-infected Raw264.7 macrophages using qPCR and western blotting. Moreover, we conducted si-FTO experiments on mouse Raw264.7 macrophages to investigate the anti-inflammatory regulatory role of si-FTO during S. aureus infection.ResultsWe identified 19 co-expressed genes closely related to FTO were identified, along with 206 related transcription factor regulatory genes and 589 miRNAs. Enrichment analyses suggested that these genes were involved in pathways related to the proliferation and oxidation of various immune cells, cellular senescence, and various tumors and immune cells, as well as cell cycle-related functions. GSEA revealed that PD-1, TH1, TH2, CTLA4, and other pathways were significantly enriched in patients with high FTO expression. GSVA indicated that the differentially enriched pathways were related to included amino acid metabolism, immunity, and infection. Correlation analysis of immune infiltration revealed that monocytes, M2 macrophages, resting mast cells, and neutrophils were present in normal and diseased samples. Differences in expression were observed between the groups. The western blotting and qPCR analyses confirmed that the protein expression of FTO was reduced in macrophages after infection with S. aureus, consistent with the observed changes in mRNA expression. Furthermore, we validated that FTO may influence the regulation of inflammation through the FoxO1/NF-kB pathway.ConclusionThe m6A RNA methylation regulator FTO may serve as a potential diagnostic marker and therapeutic target, involved in the pathogenesis of S. aureus infection-related osteomyelitis. This finding provides new insights into the relationship between FTO-mediated m6A RNA methylation and osteomyelitis.
The effect of resizing on the natural appearance of scintigraphic images: an image similarity analysis
Authors: Ghassel Siraj , Jabbarpour Amir , Lang Jochen , Moulton Eric , Klein Ran 
Published: February 2025

Background and objectiveThis study aimed to assess the impact of upsampling and downsampling techniques on the noise characteristics and similarity metrics of scintigraphic images in nuclear medical imaging.MethodsA physical phantom study using dynamic imaging was used to generate reproducible static images of varying count statistics. Naïve upsampling and downsampling with linear interpolation were compared against alternative methods based on the preservation of Poisson count statistics and principles of nuclear scintigraphic imaging; namely, linear interpolation with a Poisson resampling correction (upsampling) and a sliding window summation method (downsampling). For each resizing method, we computed the similarity of resized images to count-matched images acquired at the target grid size with the structural similarity index measure and the logarithm of the mean squared error. These image quality metrics were subsequently compared to those of two independent count-matched images at the target grid size (representing variance due to natural noise permutations) as a reference to establish an optimal resizing method.ResultsOnly upsampled images with the Poisson resampling correction after linear interpolation produced images that were similar to those acquired at the target grid size. For downsampling, both linear interpolation and sliding window summation yielded similar outcomes for a reduction factor of 2. However, for a reduction factor of 4, only sliding window summation resulted in image similarity metrics in agreement with those at the target grid size.ConclusionsThe study underlines the importance of applying appropriate resizing techniques in nuclear medical imaging to produce realistic images at the target grid size.
Clinical analysis of risk factors for diarrhea associated with enteral nutrition in post-craniocerebral surgery patients
Authors: Zhang Lei , Zhang Lulu , Zhu Xiaojie , Xu Leiming , Zhu Lin , Zhou Hai , Yang Shengkai 
Published: February 2025

BackgroundPatients undergoing craniocerebral surgery often require early enteral nutrition (EN) for energy support to improve neurological prognosis. However, diarrhea is a common complication associated with EN that can affect recovery and overall prognosis. This study aims to identify the clinical risk factors for diarrhea in patients receiving EN after undergoing craniocerebral surgery.MethodsThe clinical data of patients hospitalized in the Department of Neurosurgery and Neurosurgical Intensive Care Unit of Binhai County People’s Hospital were retrospectively collected from January 2021 to December 2022. Variables such as sex, age, liquid preservation, infusion duration, pipeline assessment, heating during infusion, infusion rate, post-infusion rounds, and oral care were compared between diarrhea and non-diarrhea groups. Based on the variables obtained from the LASSO regression, multivariate logistic regression was employed to analyze their association with the occurrence of diarrhea. A diagnostic nomogram was constructed to predict the probability of diarrhea in patients receiving EN after craniocerebral surgery.ResultsAccording to the inclusion and exclusion criteria, 141 patients were enrolled in this study, including 50 patients in the diarrhea group and 91 patients in the non-diarrhea group. The following factors were significantly associated with diarrhea: age ≥ 70 years (OR: 2.240; 95% CI 1.110–4.520), no pipeline assessment before EN (OR: 3.807; 95% CI 1.702–7.643), no heating of EN preparations (OR: 3.188; 95% CI 1.853–6.722), no control of normal infusion rate (OR: 1.721; 95% CI 1.136–3.890), no timely post-infusion rounds after EN (OR: 2.260; 95% CI 1.454–5.075), and no oral care during EN. Multivariate logistic regression analysis identified two independent predictors of diarrhea: no heating during EN (OR: 2.135; 95% CI 1.716–5.851) and no oral care during EN (OR: 1.125; 95% CI 1.025–1.652). A diagnostic nomogram based on these two variables was developed to predict the probability of diarrhea in postoperative craniocerebral surgery patients receiving EN. The nomogram demonstrated strong predictive performance, with an AUC of 0.848 (95% CI 0.778 to 0.918).ConclusionVarious factors contribute to the occurrence of diarrhea after receiving EN after craniocerebral surgery. A nomogram incorporating two independent predictors—lack of heating during EN infusion and absence of oral care—exhibited strong predictive ability and may serve as a useful tool for early risk assessment. These findings highlight the importance of incorporating heating protocols and maintaining oral hygiene during EN administration to reduce the risk of diarrhea and improve postoperative care outcomes.