bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nutritional status of tribal and non-tribal school-going children in rural Bangladesh: A comparative study
Authors: Karim Reazul , Kundu Ramendra Nath , Hossain Sifat , Bharati Susmita , Bharati Premananda , Hossain Golam 
Published: October 2024

Abstract
Background
Inadequate nutrition of school-going children is a major concern in Bangladesh, and it can negatively affect their productivity. It is important to consider the food pattern, socio-cultural, and economic differences between tribal (T) and non-tribal (NT) communities in Bangladesh when evaluating their nutritional status. This study aimed to investigate the nutritional status of school-going children in the rural area of Rajshahi district’s High Barind Tract (HBT) region of Bangladesh. Additionally, we compared the nutritional status between T and NT school-going children in the same area.

Methods
This was a cross sectional household study. Data were collected from T and NT households in the HBT region in the Rajshahi district of Bangladesh, from January to June of 2019. A total of 500 (T 81, NT 419) school-going children aged 6–13 years were selected as samples using mixed sampling, including convenience sampling (non-probability) and simple random sampling (probability) methods. Nutritional status was assessed using body mass index-for-age z-score (BAZ) and height-for-age z-score (HAZ) according to WHO guidelines. Thinness was defined as BAZ < -2SD and stunting as HAZ < -2SD. Descriptive statistics, Z-proportional test, and logistic regression model were used to analyze the effect of selected independent variables on nutritional status of T and NT children.

Results
Among school-going children, 15.20% were suffering from thinness (T 12.30% and NT 15.80%) and 17.80% stunting (T 13.60% and NT 18.60%), respectively. The difference in thinness (p > 0.05) and stunting (p > 0.05) were not significant between T and NT. The distribution of BAZ and HAZ of T and NT children were normally distributed, and were positioned negatively compared to the WHO standards. The logistic model identified the following factors for thinness: (i) mother with non-or-primary education (aOR = 1.89, 95% CI: 1.05–3.43, p < 0.05), (ii) underweight mother (aOR = 3.86, 95% CI: 1.48–10.06, p < 0.01), and (iii) underweight father (aOR = 4.12, 95% CI: 1.50-11.29, p < 0.01). For stunting, the factors were: (i) mother as a housewife (aOR = 2.79, 95% CI: 1.16–6.71, p < 0.05), (ii) father working as labour (aOR = 1.77, 95% CI: 1.01–3.278, p < 0.05), (iii) severe food insecurity in the household (aOR = 2.37, 95% CI: 1.23–4.54, p < 0.05), and (iv) children playing outside regularly more than 2 h (aOR = 2.19, 95% CI: 1.31–3.67, p < 0.01).

Conclusion
In rural Bangladesh, the nutritional status of T and NT school-going children did not show significant defferences. However, the mean z-score values for both groups of children were lower than the WHO standard, indicating that both communities have poor nutritional status.
Periodontal disease and cardiovascular disease: umbrella review
Authors: Arbildo-Vega Heber Isac , Cruzado-Oliva Fredy Hugo , Coronel-Zubiate Franz Tito , Meza-Málaga Joan Manuel , Luján-Valencia Sara Antonieta , Luján-Urviola Eduardo , Echevarria-Goche Adriana , Farje-Gallardo Carlos Alberto , Castillo-Cornock Tania Belú , Serquen-Olano Katherine , Padilla-Cáceres Tania , Caballero-Apaza Luz , Aguirre-Ipenza Rubén 
Published: October 2024

Abstract
Background
Periodontal disease (PD) is an infectious and inflammatory condition that affects the tissues surrounding and supporting the teeth. It has been suggested that PD may be associated with cardiovascular disease (CVD), one of the leading causes of mortality worldwide. Our study aimed to investigate the association between PD and CVD through an umbrella review.

Methods
A comprehensive search was conducted until April 2024 across various electronic databases, including PubMed, Cochrane Library, Scopus, SciELO, Web of Science, Google Scholar, ProQuest Dissertations and Theses, and OpenGrey. Systematic reviews with or without meta-analysis were considered for inclusion, without any limitations on time or language, provided they examined primary studies linking PD with CVD. The AMSTAR-2 tool was employed to assess the quality and overall confidence of the included studies.

Results
After the initial search, a total of 516 articles were identified. Following the application of selection criteria, 41 articles remained for further consideration. All these studies indicated an association between PD and CVD, with odds ratios and risk ratios ranging from 1.22 to 4.42 and 1.14 to 2.88, respectively.

Conclusions
Systematic reviews with high overall confidence support the association between PD, tooth loss, and cardiovascular diseases. However, it is crucial to interpret these results with caution due to methodological limitations. The potential public health relevance justifies preventive and corrective oral health strategies. Additionally, the need for rigorous future research is highlighted to strengthen the evidence and guide effective public health strategies.
Delivering insecticide-treated nets (ITNs) through a digitized single-phase door-to-door strategy: lessons from Ondo state, Nigeria
Authors: Adeniyi Laitan , Chestnutt Elisabeth G. , Rotimi Kunle , Iwegbu Azuka , Oresanya Olusola , Smith Julianna , Maxwell Kolawole , Abeku Tarekegn A. 
Published: October 2024

Abstract
Background
The use of insecticide-treated nets (ITNs) is a strategy recommended by the World Health Organization (WHO) for malaria prevention. In Nigeria, ITNs have been periodically distributed since 2007 through campaigns. Campaign activities and assets are typically tracked using either a paper-based or digital system. In 2017, a digital approach was introduced in Ondo state for tracking attendance at training sessions as part of the ITN campaign. Following the success of the 2017 introduction, subsequent campaigns planned to digitise other aspects of the campaign to improve accountability and efficiency of the ITN distribution. The COVID-19 pandemic posed additional challenges for the ITN distribution planned for 2021 and adaptations were made to the programme strategy to ensure the campaign could go ahead safely. This article presents lessons and experiences from the 2021 ITN distribution campaign in Ondo state, Nigeria.

Methods
The campaign used RedRose, a customised mobile application, to monitor the planning and delivery of the campaign, collect household information including training personnel and tracking the transfer of ITNs between distribution hubs and households. ITNs were delivered through a single-phase door-to-door distribution strategy.

Results
The campaign distributed 2,965,125 ITNs covering 1,057,577 households across Ondo state. The digital application was beneficial for monitoring the quality of implementation and tracking assets and staff to ensure safety.. The single-phase door-to-door approach was more convenient for households compared to fixed-point distribution but increased the workload for mobilization and distribution teams.

Conclusions
Single phase door-to-door strategy using digital tools was an effective method to increase coverage of ITNs while closely tracking the progress of distribution campaigns. High-quality population data are needed to further improve the planning and implementation of ITN campaigns and other health interventions.
Non-invasively predicting euploidy in human blastocysts via quantitative 3D morphology measurement: a retrospective cohort study
Authors: Shan Guanqiao , Abdalla Khaled , Liu Hang , Dai Changsheng , Tan Justin , Law Junhui , Steinberg Carolyn , Li Ang , Kuznyetsova Iryna , Zhang Zhuoran , Librach Clifford , Sun Yu 
Published: October 2024

Abstract
Background
Blastocyst morphology has been demonstrated to be associated with ploidy status. Existing artificial intelligence models use manual grading or 2D images as the input for euploidy prediction, which suffer from subjectivity from observers and information loss due to incomplete features from 2D images. Here we aim to predict euploidy in human blastocysts using quantitative morphological parameters obtained by 3D morphology measurement.

Methods
Multi-view images of 226 blastocysts on Day 6 were captured by manually rotating blastocysts during the preparation stage of trophectoderm biopsy. Quantitative morphological parameters were obtained by 3D morphology measurement. Six machine learning models were trained using 3D morphological parameters as the input and PGT-A results as the ground truth outcome. Model performance, including sensitivity, specificity, precision, accuracy and AUC, was evaluated on an additional test dataset. Model interpretation was conducted on the best-performing model.

Results
All the 3D morphological parameters were significantly different between euploid and non-euploid blastocysts. Multivariate analysis revealed that three of the five parameters including trophectoderm cell number, trophectoderm cell size variance and inner cell mass area maintained statistical significance (P < 0.001, aOR = 1.054, 95% CI 1.034–1.073; P = 0.003, aOR = 0.994, 95% CI 0.991–0.998; P = 0.010, aOR = 1.003, 95% CI 1.001–1.006). The accuracy of euploidy prediction by the six machine learning models ranged from 80 to 95.6%, and the AUCs ranged from 0.881 to 0.984. Particularly, the decision tree model achieved the highest accuracy of 95.6% (95% CI 84.9-99.5%) with the AUC of 0.978 (95% CI 0.882–0.999), and the extreme gradient boosting model achieved the highest AUC of 0.984 (95% CI 0.892-1.000) with the accuracy of 93.3% (95% CI 81.7-98.6%). No significant difference was found between different age groups using either decision tree or extreme gradient boosting to predict euploid blastocysts. The quantitative criteria extracted from the decision tree imply that euploid blastocysts have a higher number of trophectoderm cells, larger inner cell mass area, and smaller trophectoderm cell size variance compared to non-euploid blastocysts.

Conclusions
Using quantitative morphological parameters obtained by 3D morphology measurement, the decision tree-based machine learning model achieved an accuracy of 95.6% and AUC of 0.978 for predicting euploidy in Day 6 human blastocysts.

Trial registration
N/A.
Fenebrutinib, a Bruton’s tyrosine kinase inhibitor, blocks distinct human microglial signaling pathways
Authors: Langlois Julie , Lange Simona , Ebeling Martin , Macnair Will , Schmucki Roland , Li Cenxiao , DeGeer Jonathan , Sudharshan Tania J. J. , Yong V. Wee , Shen Yun-An , Harp Christopher , Collin Ludovic , Keaney James 
Published: October 2024

Abstract
Background
Bruton’s tyrosine kinase (BTK) is an intracellular signaling enzyme that regulates B-lymphocyte and myeloid cell functions. Due to its involvement in both innate and adaptive immune compartments, BTK inhibitors have emerged as a therapeutic option in autoimmune disorders such as multiple sclerosis (MS). Brain-penetrant, small-molecule BTK inhibitors may also address compartmentalized neuroinflammation, which is proposed to underlie MS disease progression. BTK is expressed by microglia, which are the resident innate immune cells of the brain; however, the precise roles of microglial BTK and impact of BTK inhibitors on microglial functions are still being elucidated. Research on the effects of BTK inhibitors has been limited to rodent disease models. This is the first study reporting effects in human microglia.

Methods
Here we characterize the pharmacological and functional properties of fenebrutinib, a potent, highly selective, noncovalent, reversible, brain-penetrant BTK inhibitor, in human microglia and complex human brain cell systems, including brain organoids.

Results
We find that fenebrutinib blocks the deleterious effects of microglial Fc gamma receptor (FcγR) activation, including cytokine and chemokine release, microglial clustering and neurite damage in diverse human brain cell systems. Gene expression analyses identified pathways linked to inflammation, matrix metalloproteinase production and cholesterol metabolism that were modulated by fenebrutinib treatment. In contrast, fenebrutinib had no significant impact on human microglial pathways linked to Toll-like receptor 4 (TLR4) and NACHT, LRR and PYD domains-containing protein 3 (NLRP3) signaling or myelin phagocytosis.

Conclusions
Our study enhances the understanding of BTK functions in human microglial signaling that are relevant to MS pathogenesis and suggests that fenebrutinib could attenuate detrimental microglial activity associated with FcγR activation in people with MS.
Study curing of epoxy resin by Isophoronediamine/ Triethylenetetramine and reinforced with montmorillonite and effect on compressive strength
Authors: Soliman Soliman Mehawed Abdellatif , Abdelhakim Mohab , Sabaa Magdy Wadid 
Published: October 2024

AbstractEpoxy is a widely used thermosetting resin recognized for its exceptional performance in adhesives, coatings, and various other applications, attributed to its high tensile strength, stiffness, electrical performance, and chemical resistance. Epoxy-clay nanocomposites are extensively employed across diverse industries. The physical and chemical properties of these nanocomposites are influenced by the processing methods, clay modifiers, and curing agents used during their preparation. In this study, epoxy/nanoclay composites based on Diglycidyl Ether Bisphenol-A (DGEBA) will be cross-linked using Isophorone Diamine (IPD), a cycloaliphatic amine, and Triethylenetetramine (TETA), a linear aliphatic amine. The initial phase of the research will assess the impact of different types of cross-linkers, both individually and in combination at various molar ratios (such as Isophorone Diamine: Triethylenetetramine (IPA: TETA) / 25:75 and 75:25), on the compressive strength of the epoxy mortar. In the subsequent phase, the epoxy formulation with an Isophorone Diamine: Triethylenetetramine (IPD: TETA / 75:25), which demonstrates the highest compressive strength, will be selected for further investigation. This formulation will be used to evaluate the effects of different weight percentages (3%, 5%, and 7%) of organically modified montmorillonite (OMMT). The prepared epoxy composites will be characterized using a range of techniques, including Fourier Transform Infrared Spectroscopy (FT-IR), Transmission Electron Microscopy (TEM), and Scanning Electron Microscopy (SEM). The epoxy/nanoclay composite with an IPD: TETA / 75:25 and 3 wt % OMMT is expected to show the highest compressive strength, which is 94 MPa.
From host individual traits to community structure and composition: Bartonella infection insights
Authors: Cruz Gabriella Lima Tabet , Gonçalves-Oliveira Jonathan , de Lemos Elba Regina Sampaio , D’Andrea Paulo Sergio , de Andreazzi Cecilia Siliansky 
Published: October 2024

Abstract
Background
Phylogeny, combined with trait-based measures, offers insights into parasite sharing among hosts. However, the specific traits that mediate transmission and the aspects of host community diversity that most effectively explain parasite infection rates remain unclear, even for the Bartonella genus, a vector-borne bacteria that causes persistent blood infections in vertebrates.

Methods
This study investigated the association between rodent host traits and Bartonella infection, as well as how rodent community diversity affects the odds of infection in the Atlantic Forest, using generalized linear models. Additionally, we assessed how host traits and phylogenetic similarities influence Bartonella infection among mammal species in Brazil. To this end, rodents were sampled from ten municipalities in Rio de Janeiro, southeastern Brazil. Then, we calculated several diversity indices for each community, including Rényi’s diversity profiles, Fisher’s alpha, Rao’s quadratic entropy (RaoQ), Functional Diversity (FDis), Functional Richness (FRic), and Functional Evenness (FEve). Finally, we compiled a network encompassing all known interactions between mammal species and Bartonella lineages recorded in Brazil.

Results
We found no significant relationship between diversity indices and the odds of Bartonella infection in rodent communities. Furthermore, there was no statistical support for the influence of individual-level traits (e.g., body length, sex, and age) or species-level ecological traits (e.g., locomotor habitat, dietary guild, and activity period) on Bartonella infection in rodents. A country-scale analysis, considering all mammal species, revealed no effect of host traits or phylogeny on Bartonella infection.

Conclusions
This study highlighted wild mammals that share Bartonella lineages with livestock, synanthropic, and domestic animals, underscoring the complexity of their maintenance cycle within the One Health framework. A key question arising from our findings is whether molecular host–cell interactions outweigh host body mass and ecological traits in influencing Bartonella infection, potentially opening new avenues for understanding host–parasite relationships and infection ecology.

Graphical Abstract
Effect of green coffee on miR-133a, miR-155 and inflammatory biomarkers in obese individuals
Authors: Khedr Naglaa F. , Zahran Enas S. , Ebeid Abla M. , Melek Samuel T. , Werida Rehab H. 
Published: October 2024

Abstract
Objectives
Metabolic syndrome is a cluster of conditions that increases the risk of atherosclerotic cardiovascular diseases. The current study was a randomized, double blind, placebo-controlled study that aimed to determine the impact of green coffee (GC) in obese patients with metabolic syndrome through analysis of miRNA-155, miRNA-133a and the inflammatory biomarkers such as resistin, TNF-α, total sialic acid, homocysteine, high sensitivity C-reactive protein (hs-CRP), and the anti-inflammatory cytokine, adiponectin.

Methods
One hundred-sixty obese patients were randomly supplemented either with GC capsules (800 mg) or placebo daily for six months. Both groups were advised to take a balanced diet. Blood samples were collected at baseline and after six months of supplementation.

Results
GC supplementation for 6 months reduced BMI (p = 0.002), waist circumference (p = 0.038), blood glucose (p = 0.002), HbA1c% (p = 0.000), Insulin (p = 0.000), systolic blood pressure (p = 0.005), diastolic BP (p = 0.001) compared with placebo. GC significantly decreased total cholesterol (TC, p = 0.000), LDL-C (p = 0.001), triglycerides (TG, p = 0.002) and increased HDL-C (p = 0.008) compared with placebo group. In addition, GC significantly (p ≤ 0.005) reduced total sialic acid, homocysteine, resistin, TNF-α, hs-CRP and the oxidative stress marker malondialdehyde (MDA), but increased serum adiponectin (p = 0.000) compared to placebo group. There was a significant reduction in the gene expression of miR-133a (p = 0.000) in GC group as compared with baseline levels and with the control placebo group (p = 0.001) after 6 months.

Conclusion
GC administration modulated metabolic syndrome by decreasing BMI, high BP, blood glucose, dyslipidemia, miRNA-133a and inflammatory biomarkers that constitute risk factors for cardiovascular diseases.
ClinicalTrials.gov registration No. is NCT05688917.

Graphical Abstract
The silent predictors: exploring galectin-3 and Irisin’s tale in severe COVID-19
Authors: Nikolic Valentina N. , Popadic Višeslav , Jankovic Slobodan M. , Govedarović Nenad , Vujić Stevan , Andjelković Jelica , Stosic Lazar S. , Stevanović Nikola Č. , Zdravkovic Marija , Todorovic Zoran 
Published: October 2024

Abstract
Objective
This study aimed to evaluate the roles of galectin-3 and irisin as biomarkers in predicting severe outcomes in COVID-19 patients.

Results
We analyzed serum levels of galectin-3 and irisin in 59 patients with severe COVID-19 and 30 healthy controls. Elevated galectin-3 levels were associated with increased risks of mortality, need for intensive care, and severe acute respiratory distress syndrome. The optimal cut-off value for galectin-3 was 13.47 ng/ml, with a sensitivity of 72.7% and specificity of 76.6%. Irisin levels did not differ significantly between survivors and non-survivors at admission or on the 3rd day post-admission, but approached significance on the 7th day. These findings suggest that galectin-3 could be a valuable prognostic biomarker for severe COVID-19 outcomes, while irisin’s role remains to be clarified in further studies.
Sex differences in sleep deficits in mice with an autism-linked Shank3 mutation
Authors: Medina Elizabeth , Rempe Michael J. , Muheim Christine , Schoch Hannah , Singletary Kristan , Ford Kaitlyn , Peixoto Lucia 
Published: October 2024

Abstract
Background
Insomnia is more prevalent in individuals with Autism Spectrum Disorder (ASD), can worsen core-symptoms and reduces quality of life of both individuals and caregivers. Although ASD is four times more prevalent in males than females, less is known about sex specific sleep differences in autistic individuals. Recent ASD studies suggest that sleep problems may be more severe in females, which aligns with the sex bias seen in insomnia for the general population. We have previously shown that male mice with a mutation in the high confidence ASD gene Shank3, Shank3∆C, recapitulate most aspects of the ASD insomnia phenotype. The objective of the present study was to leverage the Shank3∆C model to investigate sex-specific effects in sleep using polysomnography.

Methods
Adult male and female Shank3∆C and wildtype (WT) littermates were first recorded for 24 h of baseline recordings. Subsequently, they were sleep deprived (SD) for five hours via gentle handling and allowed 19 h of recovery sleep to characterize the homeostatic response to SD. Vigilance states (rapid eye movement (REM) sleep, non-rapid eye movement (NREM) sleep and wake) were assigned by manual inspection using SleepSign. Data processing, statistical analysis and visualization were conducted using MATLAB.

Results
Sex and genotype effects were found during baseline sleep and after SD. At baseline, male Shank3∆C mice sleep less during the dark period (active phase) while female Shank3∆C mice sleep less during the light period (rest phase) and sleep more during the dark period. Both male and female Shank3∆C mice show reduced spectral power in NREM sleep. We detect a significant effect of sex and genotype in sleep onset latency and homeostatic sleep pressure (sleepiness). In addition, while male Shank3∆C mice fail to increase sleep time following SD as seen in WT, female Shank3∆C mice decrease sleep time.

Conclusions
Overall, our study demonstrates sex differences in sleep architecture and homeostatic response to SD in adult Shank3∆C mice. Thus, our study demonstrates an interaction between sex and genotype in Shank3∆C mice and supports the use of the Shank3∆C model to better understand mechanisms contributing to the sex differences in insomnia in ASD in clinical populations.