bluuebunny/crossref_metadata_2025_split huggingface dataset:
Dachaihu decoction ameliorates abnormal behavior by regulating gut microbiota in rats with propionic acid-induced autism
Authors: Zhang Yangyang , Li Hang , Li Bolin , Li Yizhuang , Chai Xuejun , Li Sheng , Xue Xia , Li Honglei , Zhao Yonghong , Tang Youcai , Yin Baoqi , Zhao Pengju , Li Enyao , Feng Pengya 
Published: February 2025

BackgroundAutism spectrum disorder (ASD) is an early-onset neurodevelopmental disorder, usually accompanied by gut microbiota dysregulation. Gut microbiota homeostasis is considered effective for ASD. Reportedly, Dachaihu decoction (DCHD) can efficiently regulate gut microbiota and inflammation. However, the mechanisms underlying the effects of DCHD in the treatment of ASD remain unclear.ObjectiveThis study investigated the potential effects and mechanisms of DCHD in treating ASD.MethodsIn the animal experiment, propionic acid was administered to construct an ASD rat model. The ASD rats were treated with DCHD, and the efficacy was assessed using the behavioral detections, such as open field test, elevated plus maze test, novel object recognition test. Additionally, the levels of IL-6, TNF-α, IL-10, T-SOD, MDA, GSH and CAT were determined using kits, and histological staining was used to evaluate brain morphology. Moreover, tight junction proteins (ZO-1 and occludin) expression levels were evaluated using RT-qPCR, whereas Iba1 expression level was assessed by immunofluorescence staining. The 16S rRNA sequencing and metabolomic analysis of feces revealed the potential targets of DCHD against ASD. In a small human trail, the clinical scales ADOS-2 and Autism Behavior Checklist (ABC) assessed autism severity. Gastrointestinal problems and brain function were evaluated based on food intolerance and event-related potential, respectively.ResultsDCHD significantly improved autism-like behaviors and increased antioxidant enzyme activity, decreased inflammation and enhanced the intestinal barrier by the animal experiment. Furthermore, the DCHD treatment altered the gut microbiota profile, with increased probiotics Adlercreutzia, Parvibacter, Turicibacter, and Christensenellaceae. Further, DCHD increased the beneficial metabolite indole-3-acetate and decreased the cognitive impairment-related metabolites asymmetric dimethylarginine and homogentisic acid. Meanwhile, the small clinical trial revealed that DCHD significantly alleviated the core symptoms of ASD, with decreased ADOS-2 and ABC scale scores. DCHD also decreased the levels of specific egg white/yolk and milk IgG antibodies and shortened the MMN and P3b latencies.ConclusionThis study demonstrated that DCHD may alleviate ASD via inhibiting oxidative stress, reducing inflammation, and modulating the gut microbiota in rats. Combined with human trial, DCHD may be a promising drug for treating ASD. This study provides a scientific rationale for treating mental disorders related to gut microbiota dysbiosis.
Calcium-dependent adhesion protein CDH18, a potential biomarker for prognosis in uterine corpus endometrial carcinoma
Authors: Tang Xiaoxuan , Dang Shanxing , Qiu Jie , Zhou Ruilan , Ling Jing , Zhang Limei , Peng Xiaopeng , Li Qingyun , Liu Jin , Liao Wei , Mei Qingxiu , Xie Miao , Sun Yehong , Huang Jianmei , Du Xuelian , Song Wencong 
Published: February 2025

BackgroundUterine corpus endometrial carcinoma (UCEC) is one of the most common cancers in women, yet lacks specific and sensitive tumor markers for diagnosis, as traditional markers like CA125 show limited specificity. This study investigates the clinical significance and prognostic value of CDH18, a calcium-dependent adhesion protein linked to tumor progression, in UCEC.MethodsClinical data from UCEC patients were sourced from The Cancer Genome Atlas (TCGA) database. Pan-cancer analysis, differential expression examination, and survival analysis were conducted to investigate the differential expression of the calcium associated protein-CDH18 and its prognostic relevance. CDH18 mutations in UCEC were examined using the cBioPortal database. Additional analyses included functional enrichment, tumor mutational burden, tumor microenvironment (TME) estimates via ESTIMATE, and immune infiltration assessment to clarify CDH18’s potential mechanisms in UCEC. Drug sensitivity testing was utilized to identify more suitable therapeutic options for patients. Immunofluorescence staining (IF) and Real-Time Polymerase Chain Reaction techniques (RT-PCR) confirmed CDH18 expression in UCEC tumor.ResultsCDH18 expression was markedly increased in UCEC and showed a significant association with poorer prognosis, which was confirmed by our IF and RT-PCR results. Thirteen mutation sites were identified, and survival analysis showed that patients with higher CDH18 expression had shorter overall survival. The expression of CDH18 was confirmed to be an independent predictor of overall survival by multivariate COX regression analysis. Additionally, a predictive nomogram model was developed to accurately forecast outcomes for individuals with UCEC. Correlation analysis revealed that CDH18 expression exhibited a negative correlation with CD8 T cell levels and a positive correlation with resting NK cell and macrophage M2 levels. In the group with high CDH18 expression, the IC50 values for (5Z)-7-Oxozeaenol, AG-014699, CEP-701, Mitomycin C, PD-0325901, PD-0332991, PHA-665752, SL 0101-1, and SN-38 were notably elevated.ConclusionCDH18 is a novel promising biomarker in UCEC, uniquely associating tumor progression, immune modulation, and chemotherapy resistance, offering enhanced prognostic accuracy and guiding individualized therapeutic strategies for improved patient outcomes.
Ultrasound-based measurement of optic nerve sheath to evaluate increased intracranial pressure on patients in emergency department
Authors: Jiang Hai-dan , Shao Hua-guo , Pan Lin , Li Hui 
Published: February 2025

Background and aimsRecent studies reported that non-invasive imaging techniques for measuring optic nerve sheath diameter (ONSD) offer a novel diagnostic approach for intracranial pressure (ICP) elevation. However, whether ultrasound-measured ONSD sensitively evaluate the real-time ICP is unknown. This study explores the ability of different measurement modalities to predict ICP elevation, aiming to provide a superior non-invasive ICP monitoring technique for clinical practice.MethodsOptic nerve sheath (ONS) measurement using three modalities and ICP of 104 patients collected from January 2018 to May 2021 were analysis by correlation analysis and receiver operating characteristic curve analysis.ResultsSignificant correlations were observed between ICP and ONS measurement using three modalities (p &lt; 0.001). According to the ROC analysis, if ONS long diameter &gt; 5.55 mm, ONS vertical diameter &gt; 5.75 mm, left ONS area &gt; 25.05 mm2 or right ONS area &gt; 25.73 mm2, the patient was considered to have elevated ICP.ConclusionUltrasonic transverse scanning, longitudinal scanning, and area-based measurement of the retrobulbar ONS are excellent screening tools for the diagnosis of ICP. These three methods exhibited nearly identical levels of correlation, sensitivity, and specificity. All three measurement approaches demonstrated capabilities in diagnosing elevated ICP.
Deciphering motor dysfunction and microglial activation in mThy1-α-synuclein mice: a comprehensive study of behavioral, gene expression, and methylation changes
Authors: McGregor Brett A. , Raihan Md. Obayed , Brishti Afrina , Hur Junguk , Porter James E. 
Published: February 2025

IntroductionGrowing recognition of microglia’s role in neurodegenerative disorders has accentuated the need to characterize microglia profiles and their influence on pathogenesis. To understand changes observed in the microglial profile during the progression of synucleinopathies, microglial gene expression and DNA methylation were examined in the mThy1-α-synuclein mouse model.MethodsDisease progression was determined using behavioral tests evaluating locomotor deficits before DNA and RNA extraction at 7 and 10 months from isolated microglia for enzymatic methyl-sequencing and RNA-sequencing.ResultsPathway analysis of these changes at 7 months indicates a pro-inflammatory profile and changes in terms related to synaptic maintenance. Expression and methylation at both 7 and 10 months included terms regarding mitochondrial and metabolic stress. While behavior symptoms progressed at 10 months, we see many previously activated pathways being inhibited in microglia at a later stage, with only 8 of 53 shared pathways predicted to be directionally concordant. Despite the difference in pathway directionality, 21 of the 22 genes that were differentially expressed and annotated to differentially methylated regions at both 7 and 10 months had conserved directionality changes.DiscussionThese results highlight a critical period in disease progression, during which the microglia respond to α-synuclein, suggesting a transition in the role of microglia from the early to late stages of the disease.
Research trends and hotspots evolution of artificial intelligence for cholangiocarcinoma over the past 10 years: a bibliometric analysis
Authors: Wang Ke-xie , Li Yu-ting , Yang Sun-hu , Li Feng 
Published: February 2025

ObjectiveTo analyze the research hotspots and potential of Artificial Intelligence (AI) in cholangiocarcinoma (CCA) through visualization.MethodsA comprehensive search of publications on the application of AI in CCA from January 1, 2014, to December 31, 2023, within the Web of Science Core Collection, was conducted, and citation information was extracted. CiteSpace 6.2.R6 was used for the visualization analysis of citation information.ResultsA total of 736 publications were included in this study. Early research primarily focused on traditional treatment methods and care strategies for CCA, but since 2019, there has been a significant shift towards the development and optimization of AI algorithms and their application in early cancer diagnosis and treatment decision-making. China emerged as the country with the highest volume of publications, while Khon Kaen University in Thailand was the academic institution with the highest number of publications. A core group of authors involved in a dense network of international collaboration was identified. HEPATOLOGY was found to be the most influential journal in the field. The disciplinary development pattern in this domain exhibits the characteristic of multiple disciplines intersecting and integrating.ConclusionThe current research hotspots primarily revolve around three directions: AI in the diagnosis and classification of CCA, AI in the preoperative assessment of cancer metastasis risk in CCA, and AI in the prediction of postoperative recurrence in CCA. The complementarity and interdependence among different AI applications will facilitate future applications of AI in the CCA field.
Creation of an innovative diagnostic framework for hepatocellular carcinoma employing bioinformatics techniques focused on senescence-related and pyroptosis-related genes
Authors: Liu Baixue , Ao Youguang , Liu Chunhui , Bai Feiyun , Zhou Zhi , Huang Juan , Wang Qi 
Published: February 2025

BackgroundLiver hepatocellular carcinoma (LIHC) continues to pose a major global health concern and is characterized by elevated mortality rates and a lack of effective therapies. This study aimed to explore differential gene expression linked to cellular senescence and pyroptosis in LIHC and to develop a prognostic risk model for use in clinical settings.MethodsWe acquired datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). DESeq2 was used to identify differentially expressed genes associated with cell senescence and pyrodeath. The least absolute shrinkage and selection operator (LASSO) regression model was developed using cellular senescence- and pyroptosis-related differentially expressed genes (CSR&amp;PRDEGs), and its predictive performance was evaluated with Kaplan–Meier survival analysis and time-dependent receiver operating characteristic (ROC) curves. We also performed various functional analyses of the genes. These findings were validated by real-time fluorescence quantitative polymerase chain reaction (PCR).ResultsUsing bioinformatics analysis, we developed a prognostic risk framework incorporating six critical genes: ANXA2, APOA1, EZH2, IGF2BP3, SQSTM1, and TNFRSF11B.The model demonstrated a statistically significant difference in overall survival between the high-risk and low-risk groups (p &lt; 0.05). Additionally, real-time fluorescence quantitative PCR confirmed that genes ANXA2, APOA1, EZH2, IGF2BP3, SQSTM1, and TNFRSF11B were significantly overexpressed in the peripheral blood of patients with LIHC in comparison to normal volunteers, thereby validating the prognostic risk model’s accuracy.ConclusionsThis study systematically elucidated the functions of genes associated with senescence and pyroptosis in LIHC cells. The constructed prognostic risk model serves to guide the development of personalized treatment plans, enhance patient management via risk stratification, facilitate the identification of high-risk patients, intensify monitoring or implement proactive interventions, thereby providing a novel perspective for the diagnosis and treatment of LIHC.
Consumers’ expected information search behavior for a pharmaceutical treatment
Authors: Liu Yifei , Fincham Jack E. , Sperry Morgan L. 
Published: February 2025

ObjectiveThe Comprehensive Model of Information Seeking (CMIS) integrates multiple factors influencing information seeking. This study was to identify factors impacting consumers’ expected information search behavior for a pharmaceutical treatment. By examining the predictive utility of these factors, the CMIS could be improved in the context of health information search.MethodsA telephone interview was administered to a random-digit-dialed sample of 2,186 adult residents in a southern U.S. state. Measurements included expected information search for a pharmaceutical treatment within the next 2 weeks, self-rated health (SRH), extraversion, and demographics. SRH was measured on a 4-point scale (Excellent-4, Poor-1), with higher scores indicating better subjective health. A logistic regression was conducted, in which the outcome variable was the expected information search for a pharmaceutical treatment, and covariates were SRH, extraversion, and demographics.ResultsA total of 505 individuals participated. On average, they were 57 years old, and 61% of them were female. Fourteen percent of them expected to seek information for a pharmaceutical treatment. The logistic regression was significant (p &lt; 0.01). SRH was a significant negative predictor (p &lt; 0.05) and gender (female) was a significant positive predictor for the expected information-seeking behavior (p &lt; 0.05).ConclusionConsumers with lower SRH and women were more likely to perform expected information search for a pharmaceutical treatment. These findings have implications for both the modification of the CMIS and the provision of healthcare interventions.
The effect of COVID-19 on completed suicide rate in Iran: an Interrupted Time Series study (ITS)
Authors: Nouhi Siahroudi Azadeh , Hashemi Nazari Seyed Saeed , Namdari Mahshid , Panahi Mohammad Hossein , Mahdavi Seyed Amirhosein , Khademi Ali 
Published: February 2025

BackgroundSuicide represents a critical public health concern and one of the most devastating forms of death. Based on a report from the World Health Organization, around 700,000 deaths by suicide occur globally each year. In 2019, the worldwide suicide mortality rate was 9.0 per 100,000 people, while in Iran, this rate has been reported to be an average of 5.2 per 100,000. Suicide is influenced by various factors spanning individual, relational, community, and social domains, all of which may elevate the risk of suicide and related death. One significant factor potentially impacting this issue was the COVID-19 pandemic, which may have affected these trends by disrupting individuals’ social interactions and gatherings. To explore this further, the present study was carried out to investigate the impact of the COVID-19 pandemic on the changes in suicide rates leading to death in Iran.MethodsThis study was designed using an Interrupted Time Series approach combined with negative binomial regression. Seasonal variations were adjusted for using the harmonic method. The research sample comprised 63,514 suicide-related deaths recorded between April 20, 2009, and March 20, 2023. Suicide mortality data were sourced from the National Legal Medicine Organization, while population statistics were obtained from the official website of the Statistical Center of Iran. The study analyzed trends in suicide incidence both prior to and during the COVID-19 pandemic. The period used to evaluate pandemic-related changes in Iran began in May 2020, following the World Health Organization’s declaration of COVID-19 as a global public health emergency. Descriptive analyses were performed using Stata software, and trend assessments through the Interrupted Time Series (ITS) method were conducted using R software and the “lmtest” statistical package.ResultsThe changes in the incidence of suicide during the study increased by 1.003 monthly (p &lt; 0.001). This rate increased by 1.1 (p &lt; 0.001) compared to the times before the onset of the pandemic after entering the effect of the COVID-19 pandemic in the model. When the interaction effect of time with the COVID-19 pandemic was added to the base model, no significant relationship was observed.ConclusionBefore the COVID-19 pandemic, suicides in Iran had a proportional increasing trend. However, three months after the pandemic, an increasing trend in the level of suicide deaths was observed. Most likely, the COVID-19 pandemic phenomenon had an impact on the occurrence of suicide.
Exploring sociodemographic disparities in diagnostic problems and mistakes in the quest for diagnostic equity: insights from a national survey of patient experiences
Authors: McDonald Kathryn M. , Gleason Kelly T. , Grob Rachel N. , Yuan Christina T. , Dhingra Isha , Evered Jane A. , Warne Emily M. , Schlesinger Mark 
Published: February 2025

IntroductionAs part of building a platform for epidemiological research on diagnostic errors and problems that centers on patients and equity, this paper summarizes the development and analysis of data collected from fielding a survey in a nationally representative U.S. population to explore the prevalence and harm consequences of diagnostic problems or mistakes (referred to here as “diagnostic P&amp;Ms”) by respondent-reported sociodemographic characteristics.MethodsWe applied narrative elicitation methods to enhance the rigor of implementing a novel survey about diagnostic experiences. We conducted a U.S. population-based survey of a nationally representative sample in 2022–2023, drawn from the NORC AmeriSpeak® panel. We conducted multivariate regression analysis at the household level and in a patient subsample to explore sociodemographic predictors of diagnostic P&amp;Ms and related outcomes in the aftermath.ResultsThe comparative analysis by sociodemographic characteristics estimates prevalence of diagnostic P&amp;Ms, prevalence of persisting harms, rate of respondent-reported perceptions of personal attribute adversely affecting diagnosis, and concern about future diagnostic P&amp;Ms. Outcome estimates ranged from about 4% (concern about future diagnostic P&amp;M) to 38% (at least one P&amp;M in households during the past 4 years). Several sociodemographic groups experienced statistically significant higher levels of risk for these outcomes, with some at greater than twice the odds compared to reference groups—transgender and gender independent individuals (e.g., 5 + −fold odds of expectation of future P&amp;M compared to cis-males), cis-females (e.g., greater than 1.5 odds of persistent physical and emotional harms compared to cis-males), low household income (e.g., twice the likelihood of multiple P&amp;Ms for incomes under $60 K compared to $100 K+ households), younger age (3-fold odds of at least one diagnostic P&amp;M for those under 25 years old compared to those aged 45–54), multiracial individuals (about twice the odds of diagnostic P&amp;Ms compared to non-Hispanic White), and disabled and unable to work full-time (more than twice the likelihood of perceiving that a personal attribute impaired diagnosis compared to those with other work status designations).DiscussionThis new survey and accompanying data source facilitate an enriched exploration of the patterns of diagnostic disparities and points of leverage through which diagnostic experiences can be made more equitable.
A scoping review of the prevalence of musicians’ hearing loss
Authors: Firle Carl , Richter Antonia Helen 
Published: February 2025

IntroductionHearing loss is the most commonly recognized occupational disease in Germany. Musicians are also affected, as playing classical music can expose them to high or very high sound volumes. With this scoping review, we aimed to assess the prevalence of noise-induced hearing loss among professional musicians and evaluate its characteristics.MethodsThe databases such as MEDLINE, Embase, Cochrane Library, and Google Scholar were searched using the terms (hearing loss OR hearing impairment OR hearing difficulties OR acoustic trauma) AND (musician) on 14 August 2023 and 2 January 2025. Only original studies with audiometric examination results were included.ResultsA total of 79 studies were retrieved for descriptive analysis. The median number of participants was 52 (IQR 30-109). The majority of the retrieved studies included participants with at least 5 years of experience as practicing musicians. The proportion of men was significantly higher than that of women, with the medianmen portion of 69% (IQR 53–83%). Students were a common study population, indicating that the data on older and retired musicians were either rare or missing. As a result, the lifetime prevalence of hearing loss in musicians could not be determined. The data analysis showed an increased risk of hearing loss &gt;15–20 dB in the frequency range of 4,000–6,000 Hz among participants in the classical genre group. Studies with participants having normal hearing were also found within that genre. Rock, pop, and jazz musicians had an increased risk of hearing loss &gt;20 dB in the frequency range of 3,000–8,000 Hz. The data for military and marching band music and traditional music genres were limited. The retrieved studies indicated a higher risk of hearing loss &gt;20 dB in the frequency range of 4,000–6,000 Hz. A total of 17 studies adjusted the audiogram results for age, 2 did not, and 59 had no report. Data extraction yielded a prevalence of notch configurations in 20–50% of the classical musicians, with hearing loss affecting 5–70% of them. Up to 40% of rock, pop, and jazz musicians showed notch configurations, with 20–60% experiencing hearing loss.ConclusionOverall, a definitive assessment of the prevalence of musicians’ hearing loss cannot be drawn from the available data. Prospective, longitudinal studies with reliable sample sizes and representative populations are essential. A multicenter study would also be valuable.