bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biomass and stable carbon isotope distributions in the Amazon plume region
Authors: Alriyami Zainab , Montoya Joseph P. 
Published: November 2024

We investigated the distribution, C:N elemental ratio, and δ¹³C of suspended particulate carbon in the surface and upper 100 m of the water column during three seasons in areas of the Western Tropical North Atlantic influenced by the Amazon River Plume: the Spring high flow period (KN197 Cruise, May-June), the late Summer period of reduced flow (AT2104 cruise, July), and the low flow period in the Fall (MV1110 cruise, Sept-Oct). We used a habitat delineation method to examine spatial and temporal variability in our biogeochemical parameters. We found the highest biomass concentration ([PC]=259.7 µM), high C:N ratio (13.6), and the most negative δ¹³C (-26.8 ‰) in the area proximate to the river mouth during the late summer cruise. We measured elevated [PC] (64.5 µM), C:N ratios (14.1), and δ¹³C (max -15.7 ‰) in the plume core habitats during the peak flow season, reflecting the impact of both the outflow and in situ phytoplankton production. We found that the western margin of the plume had relatively higher biomass, C:N ratios, and organic matter more enriched in 13C than the east margins. In our work area, oceanic waters had the lowest [PC] (1.3 µM), a C:N ratio higher than the Redfield ratio (6.6), and an average δ¹³C of -22 ‰. We explored the relationships between PC and Chla, and δ¹³C and C:N ratio to estimate the contribution of phytoplankton production and terrigenous sources to the suspended particulate carbon pool. We found terrestrial and detrital sources contributing more to the organic matter of the river mouth area. However, the contribution of phytoplankton and living sources dominate most of our study area in all seasons. Our findings emphasize the role of the Amazon River Plume in enhancing biomass and productivity of the WTNA and the biogeochemical dynamic of the carbon cycle.
Predicting cancer-related mycobiome aspects in gastrointestinal cancers: a systematic review
Authors: Szklenarik György , Kiraly Peter , Szegvari Gabor , Dora David , Lohinai Zoltan 
Published: November 2024

BackgroundColonization of the human gut and tumor tissue by non-pathogenic fungi has emerged as a potential risk factor associated with cancer epidemics. Therefore, we aimed to conduct a systematic review to assess the role of fungal colonization in gastrointestinal (GI) tumors in increasing diagnostic efficiency.MethodsA PubMed citation search was conducted for publications up to and including March 2023, followed by full-text screening. Results were reported according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines. According to the Patient, Intervention, Comparison, Outcome (PICO) framework, patients diagnosed with early-and advanced-stage GI cancers, GI adenoma patients, and healthy subjects were included with metagenomic (MG) or internal transcribed spacer (ITS) sequencing on tumor tissue, adjacent normal tissue, stool, and blood samples.ResultsFourteen studies were eligible based on the inclusion criteria and methodological quality. Studies were conducted in stool (n = 8) or tissue (n = 7) as the most common specimens to be used for molecular analysis. In the collected data, ITS was used in n = 10 cases and metagenomic analyses in n = 3 cases. Observing the interindividual variability, we found that the Ascomycota/Basidiomycota (A/B) ratio from healthy to cancer state decreased in n = 2, increased in n = 1 cases, and did not change significantly in n = 2 studies. An increase in the relative abundance of Malassezia was identified in n = 4, of Candida in n = 5, of Saccharomyces in n = 2, and of Aspergillus in n = 2 cases. Intraindividual differences in the A/B ratio were identified in cancer and adjacent tissue (n = 4) and cancer vs. stool (n = 1) studies. Intraindividual variability of the A/B ratio showed an increase in n = 2 and no change in n = 3 studies for cancer tissue.ConclusionIn conclusion, the advent of highly sensitive sequencing methods may aid in the identification and the differentiation of cancerous from healthy human fungal colonizations with potential future diagnostic applications. Further studies are needed to establish reliable biomarkers for GI cancer screening.
Bacillus coagulans MF-06 alleviates intestinal mucosal barrier from damage in chicks infected with Salmonella pullorum via activating the Wnt/β-catenin pathway
Authors: Ma Li , Tian Guangming , Pu Yuejin , Qin Xuguang , Zhang Yinghu , Wang Haojie , You Lei , Zhang Gaofeng , Fang Chun , Liang Xiongyan , Wei Hongbo , Tan Lei , Jiang Liren 
Published: November 2024

IntroductionThis study aimed to assess the protective efficacy of Bacillus coagulans MF-06 as a potential alternative to antibiotics in mitigating intestinal mucosal damage in chicks infected with Salmonella pullorum.MethodsA total of 150 one-day-old SPF chicks were selected and randomly divided into five groups: control group (CK), probiotics group (EM), probiotics treatment group (PT), antibiotic treatment group (AT), Salmonella pullorum group (SI), CK, AT and SI groups were fed a basal diet, EM and PT groups were fed a basal diet supplemented with 1.0 × 108 CFU/g Bacillus coagulans; PT, AT and SI groups were gavaged with 1.0 × 109 CFU/0.5 mL Salmonella pullorum at 7 days of age; AT group were fed with 0.375 g/kg neomycin sulfate in the basal diet from days 7–14.ResultsSubsequently, the study evaluated alterations in growth performance, the integrity of the intestinal mucosal barrier, cytokines associated with the Wnt/β-catenin signaling pathway, and gut microbiota composition. The results revealed that the administration of Bacillus coagulans MF-06 significantly reduced the feed conversion ratio of chicks (p &lt; 0.05), and significantly increased the average daily weight gain and average daily feed intake in chicks challenged with Salmonella Pullorum (p &lt; 0.05). Furthermore, Bacillus coagulans MF-06 treatment diminished the presence of Salmonella pullorum colonies in the intestinal tract. Additionally, the administration of Bacillus coagulans MF-06 restored levels of (Diamine oxidase) DAO and (D-lactic acid) D-LA levels, as well as the levels of tight junction protein, including TJP1, CLDN1, CLDN2, Occludin, and MUC2 (p &lt; 0.05). The study noted a significant decrease in cell apoptosis (p &lt; 0.05) and a significant increase in the expression of Proliferating Cell Nuclear Antigen (PCNA) and v-myc avian myelocytomatosis viral oncogene homolog (C-MYC) (p &lt; 0.05), which activated the Wnt/β-catenin signaling pathway. Analysis through 16S rRNA sequencing revealed that the intake of Bacillus coagulans MF-06 led to a significant decrease in the relative abundance of Lachnoclostridium, Shuttleworthia, and unidentified-Eggerthellaceae (p &lt; 0.05).DiscussionCollectively, the Bacillus coagulans MF-06 may provide a protective effect against Salmonella pullorum infection in chicks by enhancing growth performance, strengthening the integrity of the intestinal mucosal barrier, and stabilizing the gut microbiota.
Modeling healthcare demands and long-term costs following pediatric traumatic brain injury
Authors: Wiegand Jared G. , Moazzam Zorays , Braga Bruno P. , Messiah Sarah E. , Qureshi Faisal G. 
Published: November 2024

IntroductionTraumatic brain injury (TBI) is a leading cause of death and disability in children, but data on the longitudinal healthcare and financial needs of pediatric patients is limited in scope and duration. We sought to describe and predict these metrics following acute inpatient treatment for TBI.MethodsChildren surviving their initial inpatient treatment for TBI were identified from Optum’s deidentified Clinformatics® Data Mart Database (2007-2018). Treatment cost, healthcare utilization, and future inpatient readmission were stratified by follow-up intervals, type of claim, and injury severity. Both TBI-related and non-TBI related future cost and healthcare utilization were explored using linear mixed models. Acute inpatient healthcare utilization metrics were analyzed and used to predict future treatment cost and healthcare demands using linear regression models.ResultsAmong 7,400 patients, the majority suffered a mild TBI (50.2%). For patients with at least one-year follow-up (67.7%), patients accrued an average of 28.7 claims and $27,199 in costs, with 693 (13.8%) readmitted for TBI or non-TBI related causes. Severe TBI patients had a greater likelihood of readmission. Initial hospitalization length of stay and discharge disposition other than home were significant positive predictors of healthcare and financial utilization at one-and five-years follow-up. Linear mixed models demonstrated that pediatric TBI patients would accrue 21.1 claims and $25,203 in cost in the first year, and 9.4 claims and $4,147 in costs every additional year, with no significant differences based on initial injury severity.DiscussionPediatric TBI patients require long-term healthcare and financial resources regardless of injury severity. Our cumulative findings provide essential information to clinicians, caretakers, researchers, advocates, and policymakers to better shape standards, expectations, and management of care following TBI.
Brain structure and function differences across varying levels of endurance training: a cross-sectional study
Authors: Zhang Keying , Cao Chunmei , Wang Yaxue , Zhang Dong 
Published: November 2024

BackgroundAlthough previous studies have shown that athletes engaged in endurance sports exhibit unique characteristics of brain plasticity, there has been no systematic investigation into the structural and functional brain characteristics of endurance athletes with varying training levels.MethodsUtilizing the “expert-novice paradigm” design, we employed functional magnetic resonance imaging (fMRI) to obtain images of brain structure and functional activity. We compared differences in gray matter volume (GMV), fractional amplitude of low-frequency fluctuations (fALFF), and degree centrality (DC) among high-level endurance athletes, moderate-level endurance athletes, and non-athlete controls.Results(1) High-level endurance athletes exhibited significantly greater GMV in the left parahippocampal gyrus, bilateral thalamus, right temporal lobe, and bilateral cerebellum compared to both moderate-level endurance athletes and controls. The GMV in these regions showed an increasing trend with more years of endurance training and higher endurance capacity. Additionally, these athletes had significantly higher fALFF in the left superior medial frontal gyrus and right precuneus, as well as higher DC in the right lateral occipital lobe compared to moderate-level endurance athletes. They also had significantly higher DC in the right precuneus and cerebellum compared to the control group. (2) Moderate-level endurance athletes demonstrated significantly greater GMV in the right prefrontal cortex, bilateral medial frontal lobe, right temporal pole, right striatum, and bilateral insula compared to high-level endurance athletes. They also had significantly higher fALFF in the left posterior cingulate gyrus compared to high-level endurance athletes. (3) Control group showed significantly greater GMV in the right amygdala, higher fALFF in the left medial frontal lobe, and greater DC in the left lateral occipital lobe compared to moderate-level endurance athletes.ConclusionAdaptive benefits exhibit different characteristics across different endurance levels. High-level endurance athletes exhibit pronounced enhancements in gray matter volume and functional activity in regions associated with memory, motor control, and sensory processing. While moderate-level athletes demonstrate distinct functional reorganization in the default mode network and cerebellum.
Case report: Favorable efficacy of combined afatinib and anlotinib treatment in a lung adenocarcinoma patient harboring uncommon EGFR L858M/L861R mutations
Authors: He Yueming , Wu Yitao , He Rongqi , Xu Meng , Chen Heshan , Meng Yiran , Zheng Liuqing , Wang Li 
Published: November 2024

Targeted therapy has significantly prolonged survival of non-small cell lung cancer (NSCLC) patients carrying common EGFR mutations, but the standard care for patients with rare mutations has not been well established. Here, we report a 65-year-old female diagnosed with stage IIIC lung adenocarcinoma located in the right inferior lobe, harboring uncommon EGFR L858M/L861R mutations. Remarkably, 24 days post-treatment of afatinib and anlotinib, chest CT scans demonstrated significant shrinkage of primary lesion, indicating a partial response. Except for mild hand-foot syndrome and diarrhea, no other severe adverse symptoms were observed throughout treatment. The patient, now on combination therapy for exceeding 12 months, exhibits further decreased tumor size and a high quality of life. This case underscores the importance of precise molecular diagnosis in guiding therapeutic strategies and provides a valuable reference for clinical decision-making in EGFR-positive NSCLC cases with atypical mutations.
Discovery of novel PARP1/NRP1 dual-targeting inhibitors with strong antitumor potency
Authors: Liu Juanjuan , Geng Yifei , Jiang Su , Guan Lixia , Gao Junyi , Niu Miao-Miao , Li Jindong 
Published: November 2024

Given that overexpression of Poly (ADP-ribose) polymerase-1 (PARP1) and Neuropilin-1 (NRP1) is implicated in the pathogenesis of human breast cancer, the design of dual PARP1/NRP1 inhibitors has wide therapeutic prospect. However, there have been no reports of such inhibitors so far. Herein, we discovered novel small molecule inhibitors that simultaneously target PARP1 and NRP1 using structure-based virtual screening for the treatment of breast cancer. Notably, PPNR-4 was the most potent inhibitor targeting PARP1 (IC50 = 7.71 ± 0.39 nM) and NRP1 (IC50 = 24.48 ± 2.16 nM). PPNR-4 showed high affinity and binding stability to PARP1 and NRP1. The cytotoxicity assays showed that PPNR-4 demonstrated significant antiproliferative activity on MDA-MB-231 cells (IC50 = 0.21 μM) without effect on normal human cells. In vivo experiments exhibited that PPNR-4 showed more effective than the positive controls in inhibiting the growth of tumors. Overall, these data suggest that PPNR-4 is an effective antitumor candidate and deserves further research.
A segmentation-combination data augmentation strategy and dual attention mechanism for accurate Chinese herbal medicine microscopic identification
Authors: Zhu Xiaoying , Pang Guangyao , He Xi , Chen Yue , Yu Zhenming 
Published: November 2024

IntroductionChinese Herbal Medicine (CHM), with its deep-rooted history and increasing global recognition, encounters significant challenges in automation for microscopic identification. These challenges stem from limitations in traditional microscopic methods, scarcity of publicly accessible datasets, imbalanced class distributions, and issues with small, unevenly distributed, incomplete, or blurred features in microscopic images.MethodsTo address these challenges, this study proposes a novel deep learning-based approach for Chinese Herbal Medicine Microscopic Identification (CHMMI). A segmentation-combination data augmentation strategy is employed to expand and balance datasets, capturing comprehensive feature sets. Additionally, a shallow-deep dual attention module enhances the model's ability to focus on relevant features across different layers. Multi-scale inference is integrated to process features at various scales effectively, improving the accuracy of object detection and identification.ResultsThe CHMMI approach achieved an Average Precision (AP) of 0.841, a mean Average Precision at IoU=.50 (mAP@.5) of 0.887, a mean Average Precision at IoU from .50 to .95 (mAP@.5:.95) of 0.551, and a Matthews Correlation Coefficient of 0.898. These results demonstrate superior performance compared to state-of-the-art methods, including YOLOv5, SSD, Faster R-CNN, and ResNet.DiscussionThe proposed CHMMI approach addresses key limitations of traditional methods, offering a robust solution for automating CHM microscopic identification. Its high accuracy and effective feature processing capabilities underscore its potential to modernize and support the growth of the CHM industry.
The construction and validation of the novel nomograms for the risk prediction of prenatal depression: a cross-sectional study
Authors: Huo Lanting , Yu Xingfeng , Nisar Anum , Yang Lei , Li Xiaomei 
Published: November 2024

BackgroundNomograms are superior to traditional multivariate regression models in the competence of quantifying an individual’s personalized risk of having a given condition. To date, no literature has been found to report a quantified risk prediction model for prenatal depression. Therefore, this study was conducted to investigate the prevalence and associated factors of prenatal depression. Moreover, two novel nomograms were constructed for the quantitative risk prediction.MethodsIn this cross-sectional study, the participants were recruited using convenience sampling and administered with the research questionnaires. The prevalence of prenatal depression was calculated with a cutoff point of ≥ 10 in the 8-item Patient Health Questionnaire. Univariate and multivariate binomial logistic regression models were subsequently employed to identify the associated factors of prenatal depression. Two nomograms for the risk prediction were constructed and multiple diagnostic parameters were used to examine their performances.ResultsThe prevalence of prenatal depression was 9.5%. Multivariate binomial logistic regression model based on sociodemographic, health-related, and pregnancy-related variables (model I) suggested that unemployment, poor relationship with partners, antecedent history of gynecologic diseases, unplanned pregnancy, an earlier stage of pregnancy, and more severe vomiting symptoms were associated with increased risk of prenatal depression. In the regression model that further included psychosocial indicators (model II), unemployment, antecedent history of gynecologic diseases, unplanned pregnancy, an earlier stage of pregnancy, and a higher total score in the Pregnancy Stress Rating Scale were found to be associated with prenatal depression. The diagnostic parameters suggested that both nomograms for the risk prediction of prenatal depression have satisfactory discriminative and predictive efficiency and clinical utility. The nomogram based on model II tended to have superior performances and a broader estimating range and that based on model I could be advantageous in its ease of use.ConclusionsThe prevalence of prenatal depression was considerably high. Risk factors associated with prenatal depression included unemployment, poor relationship with partners, antecedent history of gynecologic diseases, unplanned pregnancy, an earlier stage of pregnancy, more severe vomiting symptoms, and prenatal stress. The risk prediction model I could be used for fasting screening, while model II could generate more precise risk estimations.
A rapid review of digital approaches for the participatory development of health-related interventions
Authors: Doerwald Friederike , Stalling Imke , Recke Carina , Busse Heide , Shrestha Rehana , Rach Stefan , Bammann Karin 
Published: November 2024

ObjectivesUsing participatory approaches to design health interventions is promising, and the ongoing digitalization has enabled the development of diverse digital formats for this purpose. These digital formats bring forth distinct advantages and challenges that should be carefully considered. This rapid review aims to present an overview of digital formats employed in participatory health intervention development and their reported benefits and barriers.DesignA qualitative rapid review was conducted, following recommendations by the Cochrane Rapid Reviews Methods Group. The literature search was carried out in October 2022 and encompassed the PubMed, Embase, PsycINFO, and Cochrane CENTRAL databases. Studies were included if they were published in 2010 or later and reported the development of a health-related intervention employing digital formats in the participatory process.ResultsA total of 22 studies were included. We identified three types of digital formats used for participatory health intervention development: web-based participatory formats (n = 14), digital participatory visual formats (n = 5), and digital participatory mapping (n = 3). The reported benefits of applying digital formats included enhanced participant anonymity, increased time and cost efficiency, and more flexibility regarding scheduling and extent of participation. Among the reported barriers were sufficient internet connectivity, required technical skills, and online fatigue.ConclusionThe review shows a variety of digital formats employed to develop participatory health interventions. Yet, these methods are primarily digital adaptations of pre-existing analog formats. Innovative digital approaches involving, for example, virtual reality devices remain largely unused. The review also revealed a need for establishing shared terminology and reporting standards to facilitate communication, comparison, and synthesis of findings in this evolving area of research.
The association between the COVID-19 pandemic and interpersonal relationships among youth with a child maltreatment history
Authors: McCarthy Julie-Anne , Osorio Ana M. , Taillieu Tamara L. , Stewart-Tufescu Ashley , Afifi Tracie O. 
Published: November 2024

IntroductionThe COVID-19 pandemic had significant impacts on youth health and well-being. Youth with prior inequities, such as those exposed to child maltreatment, may have experienced greater psychosocial challenges and long-term difficulties than their peers, including sustained interpersonal relationships problems. Given the importance of healthy relationships during adolescence and early adulthood, the significant impact the pandemic had on youth, and the potential disproportionate challenges for youth with a child maltreatment history, the purpose of the present study was to better understand changes in relational conflict among youth with and without a child maltreatment history from the perspectives of youth themselves. Specifically, the aims were to examine if youth child maltreatment history was associated with an increased likelihood of reporting increased conflict with (a) parents, (b) siblings, or (c) intimate partners during the first three years of the COVID-19 pandemic.MethodsData were drawn from the Well-Being and Experiences (WE) Study; a longitudinal and intergenerational cohort study of 1,000 youth/parent dyads in Manitoba, Canada that began in 2017. WE study data were collected annually via self-reported youth surveys between 2017 and 2022 for a total of 5 waves of data collection, and COVID-19 questions were included in Waves 3 (2020), 4 (2021) and 5 (2022) (n = 586, 56.43% female, ages 18 to 21 at Wave 5). Multinomial regressions models were computed to examine whether a youth's child maltreatment history was associated with increased, decreased, or consistent levels of conflict with parents, siblings, and intimate partners in 2020, 2021, and 2022 compared to pre-pandemic levels.ResultsResults indicated that compared to youth with no child maltreatment history, youth with a child maltreatment history were more likely to report increased conflict across all three types of relationships during first three years of the pandemic.DiscussionFindings contribute to our understanding of the association between the COVID-19 pandemic and interpersonal relationships among youth who have a child maltreatment history compared to their peers without child maltreatment histories, signal potential long-term challenges or inequities for youth and families with a history of maltreatment, and may inform policy, programming, intervention, and recovery efforts in the post-COVID-19 period, and for future global emergencies.