bluuebunny/crossref_metadata_2025 huggingface dataset:
Listen to the voices of nurses: the role of community chief nurses and registered nurses in the provision of care for older people in Sweden during the COVID-19 pandemic – a cross-sectional study
Authors: Swall Anna , Hammar Lena Marmstål , Boström Anne-Marie
Published: February 2024

Background

During the pandemic in Sweden, the aim was to protect older people, especially those among them who were sick, frail and vulnerable in residential care facilities. A ban was put on visits at all residential care facilities in March 2020 to prevent the spread of infection among the older people. This study aims to describe the experiences of Community Chief Nurses and Registered Nurses who provided medical and nursing care for older people in residential care facilities and home care during the first wave of the COVID-19 pandemic, and to examine factors associated with the quality of care.

Methods

The study has a mixed method cross-sectional design (STROBE). Data were collected using a web-based survey that comprised two questionnaires, for Community Chief Nurses and Registered Nurses developed for the study. Data were analysed using descriptive statistics and logistic regression models, as well as qualitative content analyses.

Results

The majority of Community Chief Nurses reported adequate opportunities to work with management to handle the COVID-19 pandemic. The Registered Nurses reported that the quality of care, as well as the person’s safety, was negatively affected during the pandemic. Factors associated with good care were as follows: information-sharing; ability to comply with hygiene practices; competence in how to care for older persons with COVID-19; a physician at bedside assessing their health; and support from frontline managers.

Conclusion

The study highlights crucial facets that care organizations must address to enhance their readiness for future pandemics or disasters, ensuring the security and well-being of the older people.
Risk factors for diagnosis and treatment delay among patients with multidrug-resistant tuberculosis in Hunan Province, China
Authors: Akalu Temesgen Yihunie , Clements Archie C. A. , Gebreyohannes Eyob Alemayehu , Xu Zuhui , Bai Liqiong , Alene Kefyalew Addis
Published: February 2024

Background

Multidrug-resistant tuberculosis (MDR-TB) is a global health threat associated with high morbidity and mortality rates. Diagnosis and treatment delays are associated with poor treatment outcomes in patients with MDR-TB. However, the risk factors associated with these delays are not robustly investigated, particularly in high TB burden countries such as China. Therefore, this study aimed to measure the length of diagnosis and treatment delays and identify their risk factors among patients with MDR-TB in Hunan province.

Methods

A retrospective cohort study was conducted using MDR-TB data from Hunan province between 2013 and 2018. The main outcomes of the study were diagnosis and treatment delay, defined as more than 14 days from the date of symptom to diagnosis confirmation (i.e., diagnosis delay) and from diagnosis to treatment commencement (i.e., treatment delay). A multivariable logistic regression model was fitted, and an adjusted odds ratio (AOR) with a 95% confidence interval (CI) was used to identify factors associated with diagnosis and treatment delay.

Results

In total, 1,248 MDR-TB patients were included in this study. The median length of diagnosis delays was 27 days, and treatment delays were one day. The proportion of MDR-TB patients who experienced diagnosis and treatment delay was 62.82% (95% CI: 60.09–65.46) and 30.77% (95% CI: 28.27–33.39), respectively. The odds of experiencing MDR-TB diagnosis delay among patients coming through referral and tracing was reduced by 41% (AOR = 0.59, 95% CI: 0.45–0.76) relative to patients identified through consultations due to symptoms. The odds of experiencing diagnosis delay among ≥ 65 years were 65% (AOR = 0.35, 0.14–0.91) lower than under-15 children. The odds of developing treatment delay among foreign nationalities and people from other provinces were double (AOR = 2.00, 95% CI: 1.31–3.06) compared to the local populations. Similarly, the odds of experiencing treatment delay among severely ill patients were nearly 2.5 times higher (AOR = 2.49, 95% CI: 1.41–4.42) compared to patients who were not severely ill. On the other hand, previously treated TB cases had nearly 40% (AOR = 0.59, 95% CI: 0.42–0.85) lower odds of developing treatment delay compared with new MDR-TB cases. Similarly, other ethnic minority groups had nearly 40% (AOR = 0.57, 95% CI: 0.34–0.96) lower odds of experiencing treatment delay than the Han majority.

Conclusions

Many MDR-TB patients experience long diagnosis and treatment delays in Hunan province. Strengthening active case detection can significantly reduce diagnosis delays among MDR-TB patients. Moreover, giving attention to patients who are new to MDR-TB treatment, are severely ill, or are from areas outside Hunan province will potentially reduce the burden of treatment delay among MDR-TB patients.
Persistent trigeminal artery in a patient with moyamoya disease:a case report and literature review
Authors: Sun Tao , Huang Lixin , Sun Jun , Wu Zhimin , Chen Chuan , Wang Hui
Published: February 2024

Backgrounds

Persistent trigeminal artery (PTA) is a rare anastomosis between internal carotid artery (ICA) and basilar artery. In rare conditions, the PTA could be combined with others cerebrovascular anomalies, moyamoya disease (MMD) is one of them.

Case presentation

Here, we reported one rare case of MMD associated with PTA, the patient admitted to our department for severe dizziness and headache, imaging examination suggested MMD combined with right PTA, which arising from the ipsilateral cavernous portion of ICA. The patient received phased bilaterral revascularization with no any complication. In the subsequent follow-up, the patient’s symptoms and intracranial vascular condition gradually improved. Moreover, we conducted a literature review of coexistence of PTA and MMD, the results of a web of science regarding such condition, and a deep discussion providing brief insight into the status of co-occurrence of PTA and MMD, including its manifestation, treatment and outcome.

Conclusions

The coexistence of PTA and MMD was rarely reported, the pathogenesis of such condition remains unknown. We found that the features of the coexistence of PTA and MMD were diverse, revascularization might be a feasible for such patient.
Correlation analysis between smoke exposure and serum neurofilament light chain in adults: a cross-sectional study
Authors: Zhu Ning , Zhu Jing , Lin Shanhong , Yu Hang , Cao Chao
Published: February 2024

Background

Smoke exposure is a prevalent and well-documented risk factor for various diseases across different organ systems. Serum neurofilament light chain (sNfL) has emerged as a promising biomarker for a multitude of nervous system disorders. However, there is a notable paucity of research exploring the associations between smoke exposure and sNfL levels.

Methods

We conducted a comprehensive analysis of the National Health and Nutrition Examination Survey (NHANES) cross-sectional data spanning the years 2013 to 2014. Serum cotinine levels were classified into the following three groups: < 0.05, 0.05–2.99, and ≥ 3 ng/ml. Multiple linear regression models were employed to assess the relationships between serum cotinine levels and sNfL levels. Additionally, we utilized restricted cubic spline analyses to elucidate the potential nonlinear relationship between serum cotinine and sNfL levels.

Results

A total of 2053 participants were included in our present research. Among these individuals, the mean age was 47.04 ± 15.32 years, and males accounted for 48.2% of the total study population. After adjusting the full model, serum cotinine was positively correlated with sNfl in the second group (β = 0.08, 95%CI 0.01–0.15) and in the highest concentration of serum cotinine (β = 0.10, 95%CI 0.01–0.19) compared to the group with the lowest serum cotinine concentrations. Current smokers, in comparison to non-smokers, exhibited a trend toward elevated sNfL levels (β = 0.07, 95%CI 0.01–0.13). Furthermore, subgroup analyses revealed interactions between serum cotinine levels and different age groups (P for interaction = 0.001) and gender stratification (P for interaction = 0.015) on sNfL levels.

Conclusion

The study suggested that serum cotinine was significantly and positively associated with sNfl levels in adult participants. Furthermore, current smokers tend to exhibit elevated sNfL levels. This research sheds light on the potential implications of smoke exposure on neurological function impairment and underscores the importance of further exploration in this area.
Mediating effect of psychological distress and mindful eating behaviors between orthorexia nervosa and academic self-efficacy among Lebanese university female students
Authors: Barakat Muna , Salim Nesreen A , Malaeb Diana , Dabbous Mariam , Sakr Fouad , Hallit Souheil , Fekih-Romdhame Feten , Obeid Sahar
Published: February 2024

Objectives

This study examined the mediating effect of psychological distress and mindful eating behaviors between orthorexia nervosa and academic self-efficacy among Lebanese university female students.

Methods

A total of 769 female participants enrolled in this cross-sectional study (mean age 21.58 ± 3.20 years). A self-administered questionnaire was distributed among university female students. The questionnaire consisted of Mindful Eating Behaviors Scale, ORTO-R, Depression Anxiety Stress Scale, and Arabic version of Academic Self-Efficacy Scale.

Results

The results showed that psychological distress fully mediated the association between orthorexia nervosa and academic self-efficacy; higher orthorexia nervosa was significantly associated with less psychological distress (β= -0.31, p =.05), with more psychological distress significantly associated with lower academic self-efficacy (β= -0.32, p =.09). Focused eating fully mediated the association between orthorexia nervosa and academic self-efficacy; higher orthorexia nervosa was significantly associated with less focused eating (β=-0.09, p =.04), with more focused eating significantly associated with better academic self-efficacy (β = 1.40, p =.10). Orthorexia nervosa was not directly associated with academic self-efficacy in both models.

Conclusion

This study shed light on important connections between orthorexia nervosa, psychological distress, mindful eating behaviors, and academic self-efficacy within the Lebanese context. The findings will have practical implications for both educational institutions and healthcare providers striving to support young female adults’ overall well-being and academic success.
Healthy together Victoria and childhood obesity study: effects of a large scale, community-based cluster randomised trial of a systems thinking approach for the prevention of childhood obesity among secondary school students 2014–2016
Authors: Strugnell Claudia , Orellana Liliana , Crooks Nicholas , Malakellis Mary , Morrissey Bridget , Rennie Claire , Hayward Joshua , Bliss Jo , Swinburn Boyd , Gaskin Cadeyrn J. , Allender Steven
Published: February 2024

Background

Healthy Together Victoria (HTV) was a Victorian Government initiative that sought to reduce the prevalence of overweight and obesity through targeting chronic disease risk factors including physical activity, poor diet quality, smoking, and harmful alcohol use. The intervention involved a boosted workforce of > 170 local-level staff in 12 communities; employed to deliver system activation around health and wellbeing for individuals, families and communities. A cluster randomised trial (CRT) of a systems thinking approach to obesity prevention was embedded within HTV. We present the two-year changes in overweight and obesity and associated behaviours among secondary school students across Victoria, Australia.

Methods

Twenty-three geographically bounded areas were randomised to intervention (12 communities) or comparison (11 communities). Randomly selected secondary schools within each community were invited to participate in the trial in 2014 and 2016. Students in Grade 8 (aged approximately 13–15 years) and Grade 10 (aged approximately 15–16 years) at participating schools were recruited using an opt-out approach across July–September 2014 and 2016. Primary outcomes were body mass index (BMI) and waist circumference. Secondary outcomes were physical activity, sedentary behaviour, diet quality, health-related quality of life, and depressive symptoms. Linear mixed models were fit to estimate the intervention effect adjusting for child/school characteristics.

Results

There were 4242 intervention children and 2999 control children in the final analysis. For boys, the two-year change showed improvement in intervention versus control for waist circumference (difference in change: − 2.5 cm; 95% confidence interval [CI]: − 4.6, − 0.5) and consumption of sugar-sweetened beverages per day (< 1 serve: 8.5 percentage points; 95% CI: 0.6, 16.5). For girls, there were no statistically significant differences between conditions.

Conclusions

HTV seemed to produce favourable changes in waist circumference and sugar-sweetened beverage consumption for boys, however, no effect on BMI was observed. Although the HTV intervention was cut short, and the period between data collection points was relatively short, the changes observed in HTV contribute to the growing evidence of whole-of-community interventions targeting childhood obesity.

Trial registration

This trial is unregistered. The intervention itself was a policy setting delivered by government and our role was the collection of data to evaluate the effect of this natural experiment. That is, this study was not a trial from the classical point of view and we were not responsible for the intervention.
A novel post-percutaneous nephrolithotomy sepsis prediction model using machine learning
Authors: Shen Rong , Ming Shaoxiong , Qian Wei , Zhang Shuwei , Peng Yonghan , Gao Xiaofeng
Published: February 2024

Objectives

To establish a predictive model for sepsis after percutaneous nephrolithotomy (PCNL) using machine learning to identify high-risk patients and enable early diagnosis and intervention by urologists.

Methods

A retrospective study including 694 patients who underwent PCNL was performed. A predictive model for sepsis using machine learning was constructed based on 22 preoperative and intraoperative parameters.

Results

Sepsis occurred in 45 of 694 patients, including 16 males (35.6%) and 29 females (64.4%). Data were randomly segregated into an 80% training set and a 20% validation set via 100-fold Monte Carlo cross-validation. The variables included in this study were highly independent. The model achieved good predictive power for postoperative sepsis (AUC = 0.89, 87.8% sensitivity, 86.9% specificity, and 87.4% accuracy). The top 10 variables that contributed to the model prediction were preoperative midstream urine bacterial culture, sex, days of preoperative antibiotic use, urinary nitrite, preoperative blood white blood cell (WBC), renal pyogenesis, staghorn stones, history of ipsilateral urologic surgery, cumulative stone diameters, and renal anatomic malformation.

Conclusion

Our predictive model is suitable for sepsis estimation after PCNL and could effectively reduce the incidence of sepsis through early intervention.
The validity of electronic health data for measuring smoking status: a systematic review and meta-analysis
Authors: Haque Md Ashiqul , Gedara Muditha Lakmali Bodawatte , Nickel Nathan , Turgeon Maxime , Lix Lisa M.
Published: February 2024

Background

Smoking is a risk factor for many chronic diseases. Multiple smoking status ascertainment algorithms have been developed for population-based electronic health databases such as administrative databases and electronic medical records (EMRs). Evidence syntheses of algorithm validation studies have often focused on chronic diseases rather than risk factors. We conducted a systematic review and meta-analysis of smoking status ascertainment algorithms to describe the characteristics and validity of these algorithms.

Methods

The Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines were followed. We searched articles published from 1990 to 2022 in EMBASE, MEDLINE, Scopus, and Web of Science with key terms such as validity, administrative data, electronic health records, smoking, and tobacco use. The extracted information, including article characteristics, algorithm characteristics, and validity measures, was descriptively analyzed. Sources of heterogeneity in validity measures were estimated using a meta-regression model. Risk of bias (ROB) in the reviewed articles was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 tool.

Results

The initial search yielded 2086 articles; 57 were selected for review and 116 algorithms were identified. Almost three-quarters (71.6%) of algorithms were based on EMR data. The algorithms were primarily constructed using diagnosis codes for smoking-related conditions, although prescription medication codes for smoking treatments were also adopted. About half of the algorithms were developed using machine-learning models. The pooled estimates of positive predictive value, sensitivity, and specificity were 0.843, 0.672, and 0.918 respectively. Algorithm sensitivity and specificity were highly variable and ranged from 3 to 100% and 36 to 100%, respectively. Model-based algorithms had significantly greater sensitivity (p = 0.006) than rule-based algorithms. Algorithms for EMR data had higher sensitivity than algorithms for administrative data (p = 0.001). The ROB was low in most of the articles (76.3%) that underwent the assessment.

Conclusions

Multiple algorithms using different data sources and methods have been proposed to ascertain smoking status in electronic health data. Many algorithms had low sensitivity and positive predictive value, but the data source influenced their validity. Algorithms based on machine-learning models for multiple linked data sources have improved validity.
Daily routine disruptions and psychiatric symptoms amid COVID-19: a systematic review and meta-analysis of data from 0.9 million individuals in 32 countries
Authors: Liu Huinan , Tao Tiffany Junchen , Chan Selina Kit Yi , Ma Jeremy Chi Him , Lau Abby Yan Tung , Yeung Ernest Tsun Fung , Hobfoll Stevan E. , Hou Wai Kai
Published: February 2024

Background

There is currently a deficit of knowledge about how to define, quantify, and measure different aspects of daily routine disruptions amid large-scale disasters like COVID-19, and which psychiatric symptoms were more related to the disruptions. This study aims to conduct a systematic review and meta-analysis on the probable positive associations between daily routine disruptions and mental disorders amid the COVID-19 pandemic and factors that moderated the associations.

Methods

PsycINFO, Web of Science, PubMed, and MEDLINE were systematically searched up to April 2023 (PROSPERO: CRD42023356846). Independent variables included regularity, change in frequency, and change in capability of different daily routines (i.e., physical activity, diet, sleep, social activities, leisure activities, work and studies, home activities, smoking, alcohol, combined multiple routines, unspecified generic routines). Dependent variables included symptoms and/or diagnoses of mental disorders (i.e., depression, anxiety, post-traumatic stress disorder, and general psychological distress).

Results

Fifty-three eligible studies (51 independent samples, 910,503 respondents) were conducted in five continents. Daily routine disruptions were positively associated with depressive symptoms (r = 0.13, 95% CI = [0.06; 0.20],p < 0.001), anxiety symptoms (r = 0.12, 95% CI = [0.06; 0.17],p < 0.001), and general psychological distress (r = 0.09, 95% CI = [0.02; 0.16],p = 0.02). The routine-symptom associations were significant for physical activity, eating, sleep, and smoking (i.e., type), routines that were defined and assessed on regularity and change in capability (i.e., definition and assessment), and routines that were not internet-based. While the positive associations remained consistent across different sociodemographics, they were stronger in geo-temporal contexts with greater pandemic severity, lower governmental economic support, and when the routine-symptom link was examined prospectively.

Conclusions

This is one of the first meta-analytic evidence to show the positive association between daily routine disruptions and symptoms of mental disorders among large populations as COVID-19 dynamically unfolded across different geo-temporal contexts. Our findings highlight the priority of behavioral adjustment for enhancing population mental health in future large-scale disasters like COVID-19.
Discrimination of pancreato-biliary cancer and pancreatitis patients by non-invasive liquid biopsy
Authors: Hartwig Christina , Müller Jan , Klett Hagen , Kouhestani Dina , Mittelstädt Anke , Anthuber Anna , David Paul , Brunner Maximilian , Jacobsen Anne , Glanz Karolina , Swierzy Izabela , Roßdeutsch Lotta , Klösch Bettina , Grützmann Robert , Wittenberger Timo , Sohn Kai , Weber Georg F.
Published: February 2024

Background

Current diagnostics for the detection of pancreato-biliary cancers (PBCs) need to be optimized. We therefore propose that methylated cell-free DNA (cfDNA) derived from non-invasive liquid biopsies serves as a novel biomarker with the ability to discriminate pancreato-biliary cancers from non-cancer pancreatitis patients.

Methods

Differentially methylated regions (DMRs) from plasma cfDNA between PBCs, pancreatitis and clinical control samples conditions were identified by next-generation sequencing after enrichment using methyl-binding domains and database searches to generate a discriminatory panel for a hybridization and capture assay with subsequent targeted high throughput sequencing.

Results

The hybridization and capture panel, covering around 74 kb in total, was applied to sequence a cohort of 25 PBCs, 25 pancreatitis patients, 25 clinical controls, and seven cases of Intraductal Papillary Mucinous Neoplasia (IPMN). An unbiased machine learning approach identified the 50 most discriminatory methylation markers for the discrimination of PBC from pancreatitis and controls resulting in an AUROC of 0.85 and 0.88 for a training (n = 45) and a validation (n = 37) data set, respectively. The panel was also able to distinguish high grade from low grade IPMN samples.

Conclusions

We present a proof of concept for a methylation biomarker panel with better performance and improved discriminatory power than the current clinical marker CA19-9 for the discrimination of pancreato-biliary cancers from non-cancerous pancreatitis patients and clinical controls. This workflow might be used in future diagnostics for the detection of precancerous lesions, e.g. the identification of high grade IPMNs vs. low grade IPMNs.
Natural carboxyterminal truncation of human CXCL10 attenuates glycosaminoglycan binding, CXCR3A signaling and lymphocyte chemotaxis, while retaining angiostatic activity
Authors: Dillemans Luna , Yu Karen , De Zutter Alexandra , Noppen Sam , Gouwy Mieke , Berghmans Nele , Verhallen Lisa , De Bondt Mirre , Vanbrabant Lotte , Brusselmans Stef , Martens Erik , Schols Dominique , Verschueren Patrick , Rosenkilde Mette M. , Marques Pedro Elias , Struyf Sofie , Proost Paul
Published: February 2024

Background

Interferon-γ-inducible protein of 10 kDa (IP-10/CXCL10) is a dual-function CXC chemokine that coordinates chemotaxis of activated T cells and natural killer (NK) cells via interaction with its G protein-coupled receptor (GPCR), CXC chemokine receptor 3 (CXCR3). As a consequence of natural posttranslational modifications, human CXCL10 exhibits a high degree of structural and functional heterogeneity. However, the biological effect of natural posttranslational processing of CXCL10 at the carboxy (C)-terminus has remained partially elusive. We studied CXCL10(1–73), lacking the four endmost C-terminal amino acids, which was previously identified in supernatant of cultured human fibroblasts and keratinocytes.

Methods

Relative levels of CXCL10(1–73) and intact CXCL10(1–77) were determined in synovial fluids of patients with rheumatoid arthritis (RA) through tandem mass spectrometry. The production of CXCL10(1–73) was optimized through Fmoc-based solid phase peptide synthesis (SPPS) and a strategy to efficiently generate human CXCL10 proteoforms was introduced. CXCL10(1–73) was compared to intact CXCL10(1–77) using surface plasmon resonance for glycosaminoglycan (GAG) binding affinity, assays for cell migration, second messenger signaling downstream of CXCR3, and flow cytometry of CHO cells and primary human T lymphocytes and endothelial cells. Leukocyte recruitment in vivo upon intraperitoneal injection of CXCL10(1–73) was also evaluated.

Results

Natural CXCL10(1–73) was more abundantly present compared to intact CXCL10(1–77) in synovial fluids of patients with RA. CXCL10(1–73) had diminished affinity for GAG including heparin, heparan sulfate and chondroitin sulfate A. Moreover, CXCL10(1–73) exhibited an attenuated capacity to induce CXCR3A-mediated signaling, as evidenced in calcium mobilization assays and through quantification of phosphorylated extracellular signal-regulated kinase-1/2 (ERK1/2) and protein kinase B/Akt. Furthermore, CXCL10(1–73) incited significantly less primary human T lymphocyte chemotaxis in vitro and peritoneal ingress of CXCR3+ T lymphocytes in mice. In contrast, loss of the four endmost C-terminal residues did not affect the inhibitory properties of CXCL10 on migration, proliferation, wound closure, phosphorylation of ERK1/2, and sprouting of human microvascular endothelial cells.

Conclusion

Our study shows that the C-terminal residues Lys74-Pro77 of CXCL10 are important for GAG binding, signaling through CXCR3A, T lymphocyte chemotaxis, but dispensable for angiostasis.

Graphical Abstract
Editing of the ethylene biosynthesis gene in carnation using CRISPR-Cas9 ribonucleoprotein complex
Authors: Adedeji Oluwaseun Suleimon , Naing Aung Htay , Kang Hyunhee , Xu Junping , Chung Mi Young , Kim Chang Kil
Published: February 2024

The study aimed to edit ethylene (ET) biosynthesis genes [1-aminocyclopropane-1-carboxylic acid (ACC) synthetase 1 (ACS1) and ACC oxidase 1 (ACO1)] in carnation using the CRISPR/Cas9 ribonucleoprotein (RNP) complex system. Initially, the conserved regions of the target genes (ACS1 and ACO1) were validated for the generation of different single guide RNAs (sgRNAs), followed by the use of an in vitro cleavage assay to confirm the ability of the sgRNAs to cleave the target genes specifically. The in vitro cleavage assay revealed that the sgRNAs were highly effective in cleaving their respective target regions. The complex of sgRNA: Cas9 was directly delivered into the carnation protoplast, and the target genes in the protoplast were deep-sequenced. The results revealed that the sgRNAs were applicable for editing the ET biosynthesis genes, as the mutation frequency ranged from 8.8 to 10.8% for ACO1 and 0.2–58.5% for ACS1. When sequencing the target genes in the callus derived from the protoplasts transformed with sgRNA: Cas9, different indel patterns (+ 1, − 1, and − 8 bp) in ACO1 and (− 1, + 1, and + 11) in ACS1 were identified. This study highlighted the potential application of CRISPR/Cas9 RNP complex system in facilitating precise gene editing for ET biosynthesis in carnation.
Metastasis infiltrating tumor to meningioma: a case report
Authors: Matsuzaki Ryo , Fuchinoue Yutaka , Mikai Masataka , Nakada Chie , Uchino Kei , Terazono Sayaka , Harada Masashi , Kondo Kosuke , Harada Naoyuki , Sugo Nobuo
Published: February 2024

Background

There have been many reports of tumor-to-tumor metastasis, in which cancer metastasizes directly into meningiomas. However, metastasis infiltrating tumors in which cancer metastasizes around meningiomas are rare. Therefore, we report a case of metastasis originating from lung cancer that infiltrated meningioma.

Case presentation

A 79-year-old Japanese woman underwent head magnetic resonance imaging for brain metastasis screening before lung cancer surgery. At that time, asymptomatic meningioma of the left frontal region was accidentally found. Magnetic resonance imaging 6 months later revealed a lesion suspected to be a metastatic brain tumor close to the meningioma. Brain tumor resection was performed, and histopathological diagnosis was meningioma and metastatic brain tumor. Metastatic cancer had invaded the meningioma at the boundary between the brain tumor and metastasis.

Conclusions

A sudden change in imaging findings on routine examination of meningiomas in patients with lung carcinoma may indicate a metastatic brain tumor. The form of cancer metastasis to meningioma is not limited to tumor-to-tumor metastasis, but also includes metastasis infiltrating tumors near the meningioma.
The effect of metaverse on L2 vocabulary learning, retention, student engagement, presence, and community feeling
Authors: Çelik Ferdi , Baturay Meltem Huri
Published: February 2024

This study investigates the multifaceted impacts of Metaverse Based Language Teaching on high school L2 vocabulary learning and retention, engagement, community feeling, and diverse dimensions of presence, namely social, cognitive, teaching, and overall presence. Adopting a quasi-experimental design, the study provides an in-depth controlled trial. The participants in this study consist of 86 (43 male, 43 female) high school English language learners in Türkiye, who are assigned to two groups. The control group uses traditional instructional technologies while the experimental group engages with metaverse technology. The lessons are based on social constructivist theory for both groups. Pre- and post-tests are employed to quantitatively assess vocabulary learning and retention and reveal substantial improvements in both areas. A series of carefully selected psychometric scales capture core aspects of engagement, community feeling, and presence. The findings reveal increased levels of engagement and a sense of presence, and connectedness within the language learning community, which confirms the efficacy of the MBLT. However, the improvement in social presence does not reach statistical significance. Cumulatively, the findings of this research transcend mere quantifiable improvements in vocabulary learning and retention. They reveal a holistic transformation of the language learning experience by emphasizing the significance of social interactions and digital embodiment in high school second language education through metaverse. The research highlights the metaverse’s potential in shaping the future of language education, reimagining traditional paradigms, and proposing a new era of immersive, interactive, and transformative pedagogy.
Expression of chitosanase from Aspergillus fumigatus chitosanase in Saccharomyces cerevisiae by CRISPR-Cas9 tools
Authors: Zhang Qingshuai , Cao Hui
Published: February 2024

Chitooligosaccharides (COS) find numerous applications due to their exceptional properties. Enzymatic hydrolysis of chitosan by chitosanase is considered an advantageous route for COS production. Heterologous expression of chitosanase holds significant promise, yet studies using commonly employed Escherichia coli and Pichia pastoris strains encounter challenges in subsequent handling and industrial scalability. In this investigation, we opted for using the safe yeast strain Saccharomyces cerevisiae (GRAS), obviating the need for methanol induction, resulting in successful expression. Ultimately, utilizing the GTR-CRISPR editing system, shake flask enzyme activity reached 2 U/ml. The optimal chitosanase activity was achieved at 55℃ and pH 5, with favorable stability between 30 and 50 °C. Following a 2-h catalytic reaction, the product primarily consisted of chitobiose to chitotetraose, predominantly at the chitotriose position, with a slight increase in chitobiose content observed during the later stages of enzymatic hydrolysis. The results affirm the feasibility of heterologous chitosanase expression through Saccharomyces cerevisiae, underscoring its significant industrial potential.

Graphical Abstract
IgG4-related mastitis managed without excision or steroid therapy
Authors: Matsushima Hirokazu , Kikuchi Masayuki , Miyabe Rika , Yamaguchi Sota , Kita Hidenori , Kobayashi Junko , Ando Takashi , Atsuta Koji , Soga Takayoshi , Shintani Tsunehiro
Published: February 2024

IgG4-related mastitis is an extremely rare IgG4-related sclerosing disease involving the breast that must be differentiated from breast cancer. There is currently no consensus regarding the optimal treatment strategies. Here, we report a case of IgG4-related mastitis followed up without excision or steroid therapy. Although the association between IgG4-related mastitis and breast cancer remains unclear, regular follow-up imaging and measurement of serum concentrations of disease activity markers may allow for follow-up without excision or steroid therapy.
The seeds of Plantago lanceolata comprise a stable core microbiome along a plant richness gradient
Authors: de Souza Yuri Pinheiro Alves , Schloter Michael , Weisser Wolfgang , Huang Yuanyuan , Schulz Stefanie
Published: February 2024

Background

Seed endophytic bacteria are beneficial to plants. They improve seedling growth by enhancing plant nutrient uptake, modulating stress-related phytohormone production, and targeting pests and pathogens with antibiotics. Seed endophyte composition can be influenced by pollination, plant cultivar, and soil physicochemical conditions. However, the effects of plant community richness on seed endophytes are unknown. To investigate the effects of increasing plant species richness on the diversity and composition of the seed microbiome, we made use of a well-established long-term biodiversity experiment in Germany (The Jena Experiment). We sampled seeds from different Plantago lanceolata blossoms in a plant diversity gradient ranging from monoculture to 16 species mixtures. The seeds were surface sterilized to remove seed surface-associated bacteria and subjected to a metabarcoding approach to assess bacterial community structure.

Results

Our data indicate a very stable core microbiome, which accounted for more than 90% of the reads and was present in all seeds independent of the plant richness level the seeds originated from. It consisted mainly of reads linked to Pseudomonas rhizosphaerae, Sphingomonas faeni and Pirellulla spp. 9% of the obtained reads were not part of the core microbiome and were only present in plots of specific diversity levels. The number of unique ASVs was positively correlated with plant richness. Interestingly, most reads described as non-core members belonged to the same genera described as the core microbiome, indicating the presence of different strains or species with possibly different functional properties important for seed performance.

Conclusion

Our data indicate that Plantago lanceolata maintains a large seeds core microbiome across the plant richness gradient. However, the number of unique ASVs increases alongside the plant community richness, indicating that ecosystem biodiversity also mitigates diversity loss in seed endophytes.
Lessons learned about development and assessment of feasibility of tools for health and rehabilitation services
Authors: Kathard Harsha , Mallick Rizwana , Cloete Tracey-lee , Hansen Anthea , Thabane Lehana
Published: February 2024

Background

Given the dire need for health and rehabilitation services internationally, exacerbated during the COVID-19 pandemic, there is a critical need to develop tools to support service delivery. This need is palpable in the Global South where tools developed in Eurocentric contexts are not always adaptable, applicable, or relevant. It is for this reason that the researchers present three case studies of tool development using pilot and feasibility studies in South Africa and share the lessons learned from these studies.

Objectives

To describe three case studies that developed new tools for health and rehabilitation services using pilot and feasibility studies.

To synthesize lessons learned from these case studies on the development of tools.

Method

The researchers describe three case studies that were developed. The case studies are summarized as follows: aims and objectives, context, problem, study design, findings, and what happened after the study. Thereafter, a qualitative cross-case analysis was conducted by the researchers to generate themes.

Findings

The case studies are described individually and followed by themes identified through cross-case analysis.

Discussion

The lessons learned are discussed. It is essential to develop new tools and protocols, motivated by the need for equitable and contextually relevant practices. Partnerships and collaboration with end-users are critical for success. A critical, scientific process is essential in developing new tools. Pilot and feasibility studies are invaluable in developing tools and assessing the feasibility of tools and implementation. The goal is to develop practical, usable tools and protocols.

Conclusion

Through the lessons learned, the researchers are hopeful that the international health and rehabilitation professions will continue to strengthen the scientific development of contextually relevant tools and resources.
Fighting to belong: drivers for transnational diaspora military service in Israel and beyond
Authors: Yohanani Lior
Published: February 2024

Previous studies have explored two scenarios wherein diaspora members fight for their ancestral homeland: (1) in response to immediate threats, and (2) when the homeland’s conscription laws mandate enlistment. This study investigates diaspora military service (DMS) in Israel, where DMS occurs voluntarily outside of acute crises or compulsory conscription requirements. Utilizing survey and interview data from over 1100 diaspora soldiers, it compares enlistment motivations across three diaspora groups with varied ties to Israel and Judaism: North Americans, Israeli Americans, and individuals from the Former Soviet Union. The study conceptualizes DMS as a state led effort to cultivate an engaged diaspora and advance Jewish immigration. This framework enables examining DMS, beyond the immediate military context, as a site for identity exploration, cultural assimilation, and contemplating permanent immigration. Despite varied emphases, results show that DMS occurs in a migratory context as soldiers from all groups recognize service as essential for immigration, integration, and acceptance in Israel. The study formulates three motivational models that drive transnational military engagement across contexts: the “ideological model” among conviction-driven actors; the “mobility model” among those focused on upward mobility; and the “reconnection model” for cementing national belonging and avoid stigma.
Transcranial ultrasonography as a predictor of disease progression in multiple sclerosis
Authors: Fahmy Ebtesam , Helmy Hanan , Merghany Nahla Aly , Ismail Rania Shehata , Mounir Nesma
Published: February 2024

Background

Development of novel biomarkers for multiple sclerosis (MS) is of utmost importance to improve the capability to predict disease progression and disability. Transcranial ultrasonography (TCS) is a noninvasive imaging technique that allows the visualization of major parenchymal structures. This study aimed to evaluate the role of parenchymal transcranial sonography as a predictor for disease severity and progression in MS patients. Sixty patients with clinically definite Multiple sclerosis divided into two groups, relapsing–remitting MS (RRMS) group and chronic progressive MS (CPMS) group were included.

Results

There was a statistically significant increase in the mean diameters of the third ventricle, both frontal horns of lateral ventricle in RRMS and CPMS group compared to control values, and in CPMS group compared to RRMS group. Expanded Disability Status Scale (EDSS) score was significantly positively correlated with the diameter of right frontal horn of lateral ventricle in CPMS group. Linear regression analysis revealed that diameters of right frontal horn of lateral ventricle and third ventricle were independent predictors for MS severity.

Conclusions

TCS can be used as a simple noninvasive tool for prediction of disease severity and progression in MS patients.
One health initiative to mitigate the challenge of antimicrobial resistance in the perspectives of developing countries
Authors: Tesema Misganu Yadesa , Birhanu Alemayehu Godana
Published: February 2024

Background

Antimicrobial resistance is among the critical global public health crises nowadays.

Main body of the abstract

Despite its global nature, antimicrobial resistance disproportionately affects developing countries due to scant diagnostic services, insufficient prescription procedures, inadequate dissemination of information to patients, unauthorized sale of antimicrobials, use of substandard or falsified drugs, poor drug regulatory mechanisms, non-human use of antimicrobials, lack of awareness, expertise, and funds, and also lack of political will to implement the necessary measurements. Furthermore, the disposal of human and animal wastes close to human residences, and lack of access to clean water contribute to the dissemination of antimicrobial resistant bacteria and antimicrobial-resistant genes. Antimicrobial resistance is predicted to reduce gross domestic product by 1.1–3.8% by 2050. These include a $60-$100 trillion loss resulting in increased morbidity and mortality in developing countries. The world's highest mortality rate from antimicrobial resistance infection is observed in Africa. To alleviate such life-threatening challenge, One Health strategies like effective communication, education, training, surveillance, detection and joint effort across disciplines and sectors are urgently needed. Global and national preparedness to identify and prioritize antimicrobial resistance-relevant pollutants, surveillance and monitoring of antimicrobials is important.

Short conclusion

Therefore, the present review aims to address the collaborative efforts for joint action by several sectors and multidisciplinary areas under the umbrella of One Health to combat antimicrobial resistance challenges in developing countries.
Highly specific and super-sensitive Dot-ELISA and colloidal gold immunochromatographic strip for detecting Xanthomonas oryzae pv. oryzicola of rice bacterial leaf streak
Authors: Dong Saiyu , Liu Nairu , Zhang Xi , Zhang Cui , Li Bin , An Qianli , Zhou Xueping , Wu Jianxiang
Published: February 2024

Rice bacterial leaf streak (BLS), caused by Xanthomonas oryzae pv. oryzicola (Xoc), is a worldwide destructive rice bacterial disease, and seriously affects the global rice industry. Effective integrated management measures for BLS depend on the timely and proper detection of Xoc. Here, two highly specific and super-sensitive monoclonal antibodies (MAbs) against Xoc were first prepared using the cultured Xoc RS105 as an immunogen. Then, two serological assays, Dot enzyme-linked immunosorbent assay (Dot-ELISA) and Colloidal gold immunochromatographic strip (CGICS), were developed for the super-sensitive and broad-spectrum detection of Xoc in homogenates prepared from field-collected rice plants. The newly created Dot-ELISA and CGICS assays can detect ten different Xoc strains from various provinces in China and other countries without cross-reactivity with the other ten tested plant bacteria. Furthermore, Dot-ELISA and CGICS can detect Xoc in bacterial suspensions diluted up to 9.78 × 103 CFU/mL and 4.88 × 103 CFU/mL, respectively, or in rice plant tissue homogenates diluted up to 1:51,200 (w/v, g/mL). Surprisingly, both Dot-ELISA and CGICS serological assays were more sensitive than the conventional PCR. Additionally, analysis results using field-collected rice samples showed that the newly created Dot-ELISA and CGICS were reliable in detecting Xoc in rice tissues. Thus, the two serological assays were highly valuable and effective for the diagnosis of rice bacterial leaf streak in rice-grown areas and for inspection and quarantine of Xoc.
The role of infections and inflammation in schizophrenia: review of the evidence
Authors: Ahmed Gellan K. , Ramadan Haidi Karam-Allah , Elbeh Khaled , Haridy Nourelhoda A.
Published: February 2024

Background

Schizophrenia is a severe mental illness affecting approximately 1% of the population worldwide. While its exact causes remain unknown, emerging evidence suggests that infections and inflammation may contribute to disease development in a subset of individuals. This review comprehensively summarizes the evidence linking infections, immune system dysfunction, and schizophrenia risk.

Main body

Several population-based studies have linked serious prenatal or childhood infections requiring hospitalization to increased risk of later schizophrenia diagnosis, especially in individuals with genetic predisposition. Both central nervous system infections and systemic infections appear to confer risk. Specific pathogens including Toxoplasma gondii, herpesviruses, Chlamydophila, and more have been implicated. Autoimmune diseases are also associated with increased schizophrenia susceptibility, possibly due to blood-brain barrier disruption allowing brain-reactive antibodies access. The recent Coronavirus disease 2019 (COVID-19) pandemic raises questions about SARS-CoV-2 as a risk factor for new-onset psychosis. The mechanisms underlying the infection-schizophrenia link likely involve inflammation, cytokines, microglial activation, and tryptophan/kynurenine pathway modulation. Treatments targeting inflammation showed some efficacy in schizophrenia, further supporting an inflammation hypothesis. While the epidemiological and mechanistic evidence is substantial, further research is needed to conclusively determine the exact mechanisms linking immune dysfunction to schizophrenia requires further study.

Conclusion

The evidence suggests immune system abnormalities likely play a role, perhaps by interacting with genetic and environmental factors, in instigating schizophrenia pathophysiology in a subset of patients. More research is needed to understand these connections more clearly which may aid future prevention and personalized treatment approaches tailored to specific illness subtypes.