bluuebunny/crossref_metadata_2025 huggingface dataset:
The Influence of Children on Parents’ Purchase Decision for Nutritional Health Drinks: A Study of Delhi, India
Authors: Ansari Nahid , Dadhich Abhishek , Ajmera Puneeta
Published: May 2024

Children use different types of influence strategies to persuade their parents to buy a product of their choice and possess a significant impact on their parents’ buying behaviour. The present survey-based descriptive research study focused on the adolescents population of Delhi and aims at analysing the brand preferences among children for nutritional health drinks and the influence of children on parents’ purchase behaviour for such drinks. The data for research was collected from a sample size of 200 respondents of the age group 10–19. The results of the study show that the brand preferred by the majority of the children is Bournvita, and the brand features that attract the majority of the individuals are the nutritional value and health benefits claimed, while product packaging and taste also influence the brand choices of children, and advertisement is the major source of information for different brands for children. Analysis of data also shows the most preferred and different combinations of influence strategies used by children. Females and children of the age group 10–14 have more influence on their parents’ purchase behaviour as compared to males and children of the age group of 15–19 as per the findings of our study, and it shows that children’s influence exists on parents’ purchase decisions for nutritional health drinks.
Digital Twin Modeling Enabled Machine Tool Intelligence: A Review
Authors: Zhang Lei , Liu Jianhua , Zhuang Cunbo
Published: May 2024

Machine tools, often referred to as the “mother machines” of the manufacturing industry, are crucial in developing smart manufacturing and are increasingly becoming more intelligent. Digital twin technology can promote machine tool intelligence and has attracted considerable research interest. However, there is a lack of clear and systematic analyses on how the digital twin technology enables machine tool intelligence. Herein, digital twin modeling was identified as an enabling technology for machine tool intelligence based on a comparative study of the characteristics of machine tool intelligence and digital twin. The review then delves into state-of-the-art digital twin modeling-enabled machine tool intelligence, examining it from the aspects of data-based modeling and mechanism-data dual-driven modeling. Additionally, it highlights three bottleneck issues facing the field. Considering these problems, the architecture of a digital twin machine tool (DTMT) is proposed, and three key technologies are expounded in detail: Data perception and fusion technology, mechanism-data-knowledge hybrid-driven digital twin modeling and virtual-real synchronization technology, and dynamic optimization and collaborative control technology for multilevel parameters. Finally, future research directions for the DTMT are discussed. This work can provide a foundation basis for the research and implementation of digital-twin modeling-enabled machine tool intelligence, making it significant for developing intelligent machine tools.
Comparing the effects of aquatic-based exercise and land-based exercise on balance in older adults: a systematic review and meta-analysis
Authors: Deng Ying , Tang Zheng , Yang Zhengting , Chai Qi , Lu Wenting , Cai Yunshi , Luo Yiting , Zhou Yongzhao
Published: May 2024

Background

Balance plays a crucial role in the daily activities of older adults. Aquatic-based exercises (AE) are widely conducted as an alternative to land-based exercises (LE). Previous studies have compared AE and LE as effective ways to improve balance and have yielded inconsistent results. Therefore, this review aimed to compare the effects of AE and LE on balance function in older adults.

Methods

Electronic databases, including PubMed, Web of Science, Scopus, and Embase, were searched. Randomized controlled trials published from January 2003 to June 2023 were included following predetermined criteria. Data extraction was carried out by two independent reviewers. Data synthesis was conducted using RevMan 5.3 software. The fixed-effect model or random-effect model was chosen based on the results of the heterogeneity test. Meta-analysis for the effect sizes of balance outcomes was calculated as standardized mean difference (SMD) with 95% confidence intervals (CI). The quality of the included studies was evaluated using the Physiotherapy Evidence Database (PEDro) scale. This review was registered at PROSPERO CRD42023429557.

Results

A total of 29 studies involving 1486 older adults (with an average age of 66.2 years) were included. Meta-analysis results indicated that AE could improve balance ability based on two tests: the Berg balance scale (BBS: SMD = 1.13, 95% CI 0.25 to 2.00, p = 0.01, I2 = 94%) and the 30-s chair stand test (30 CST: SMD = 2.02, 95% CI 0.50 to 3.54, p = 0.009, I2 = 96%). However, there were no significant differences between the AE group and the LE group in terms of the 6-min walking test (6 MWT: SMD = 0.13, 95% CI -0.16 to 0.43, p = 0.38, I2 = 62%) and time up to go test (TUGT: SMD = 0.44, 95% CI -0.44 to 0.91, p = 0.07, I2 = 85%). Older adults with different health conditions have different gains in different balance measurements after AE intervention and LE intervention.

Conclusions

Although this was influenced by participant health status, transfer effects, sample size, and other factors, AE offers better benefits than LE for improving balance function in older adults.
Correlation between small-cell lung cancer serum protein/peptides determined by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry and chemotherapy efficacy
Authors: Li Zhihua , Chen Junnan , Xu Bin , Zhao Wei , Zha Haoran , Han Yalin , Shen Wennan , Dong Yuemei , Zhao Nan , Zhang Manze , He Kun , Li Zhaoxia , Liu Xiaoqing
Published: May 2024

Background

Currently, no effective measures are available to predict the curative efficacy of small-cell lung cancer (SCLC) chemotherapy. We expect to develop a method for effectively predicting the SCLC chemotherapy efficacy and prognosis in clinical practice in order to offer more pertinent therapeutic protocols for individual patients.

Methods

We adopted matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF-MS) and ClinPro Tools system to detect serum samples from 154 SCLC patients with different curative efficacy of standard chemotherapy and analyze the different peptides/proteins of SCLC patients to discover predictive tumor markers related to chemotherapy efficacy. Ten peptide/protein peaks were significantly different in the two groups.

Results

A genetic algorithm model consisting of four peptides/proteins was developed from the training group to separate patients with different chemotherapy efficacies. Among them, three peptides/proteins (m/z 3323.35, 6649.03 and 6451.08) showed high expression in the disease progression group, whereas the peptide/protein at m/z 4283.18 was highly expressed in the disease response group. The classifier exhibited an accuracy of 91.4% (53/58) in the validation group. The survival analysis showed that the median progression-free survival (PFS) of 30 SCLC patients in disease response group was 9.0 months; in 28 cases in disease progression group, the median PFS was 3.0 months, a statistically significant difference (χ2 = 46.98, P < 0.001). The median overall survival (OS) of the two groups was 13.0 months and 7.0 months, a statistically significant difference (χ2 = 40.64, P < 0.001).

Conclusions

These peptides/proteins may be used as potential biological markers for prediction of the curative efficacy and prognosis for SCLC patients treated with standard regimen chemotherapy.
Regulatory and practical considerations on the implementation of a mixture allocation factor in REACH
Authors: Treu Gabriele , Schulze Jona , Galert Wiebke , Hassold Enken
Published: May 2024

There is indisputable evidence that the environment, humans and wildlife are continuously exposed not to single but to multiple chemicals from different sources. Exposure to these mixtures can lead to combined risks not yet sufficiently addressed in any of the European chemical legislations. Under the REACH regulation for industrial chemicals, specific environmental mixture assessments are challenged by a lack of data on toxicity, use and exposures and the communication of data along the supply chain. Within the Chemicals Strategy for Sustainability the European Commission proposed to introduce (a) mixture allocation factor(s) (MAF) as regulatory management tool to reduce exposures, effects and potential risks of unintentional mixtures. The MAF is proposed to be applied as default value within the chemical safety assessments undertaken by companies under REACH. Here, we critically review the relevant literature discussing the conceptual background of the MAF and approaches to derive its magnitude. The analysis focuses on the environment and key issues for an implementation in regulatory practise together with remaining uncertainties and needs for possible ways forward. At this stage introducing a MAF in REACH Annex I appears the most pragmatic and immediately implementable measure to address risks from unintentional mixtures in the environment. A so-called MAFceiling appears as the preferred option of policy makers, since it would only affect relevant substances close to their respective risk threshold. While the magnitude of a MAF will be decided politically, the choice of methods and assumptions to derive its size should be clear and transparent, build on the available scientific evidence and take account for uncertainties. A MAF will be most effective reducing environmental releases and exposure levels if risk mitigation measures are implemented in practise. Its socioeconomic impacts and costs need to be assessed in a balanced way together with the benefits for the environment, society, and for companies—also in comparison to the efforts needed for specific mixture risk assessments. In the future and with the experiences gathered in practise, a discussion is needed on how to assess and regulate unintentional mixtures across different pieces of chemicals legislation to consider the true exposure situation and ensure harmonisation.
Short-time work, labor hoarding, and curtailed hiring: establishment-level evidence from Japan
Authors: Kuo Chiu-Wei
Published: May 2024

This study analyzes the mechanisms by which short-time work (STW) schemes affect firm’s employment adjustments, using establishment-level data during the Great Recession from Japan. The findings show that STW leads to a decrease in both hiring and separations, with no significant positive effect on net employment. The observed curtailed hiring can be explained within the context of how STW promotes labor hoarding. STW encourages firms to maintain redundant employment by subsidizing the costs of labor hoarding. The excess labor surplus in firms adopting STW diminishes the incentive to recruit new workers in anticipation of the recovery period. Furthermore, as firms generally lack the motivation to hoard marginal workers, STW may exacerbate job security disparities between regular and marginal workers. These findings have important implications for policy evaluation, emphasizing the need for a comprehensive understanding of the potential adverse consequences of STW on labor market entrants and marginal workers.
Seasonal trends and population status of the highly threatened Pteropus livingstonii in the Comoros archipelago
Authors: Mandl Isabella , Houmadi Amelaid , Said Ishaka , Abdou Badrane Ben Ali , Mohamed Nastazia , Fardane Abdoulkader , Soulaïmana Samirou , Mohamed Misbahou , Anthoy M. Ben , Doulton Hugh
Published: May 2024

Flying foxes of the genus Pteropus, especially those inhabiting islands, face increasing pressure from anthropogenic threats. A first step to implementing effective conservation actions is to establish monitoring projects to understand a species’ population status and trend. Pteropus species are highly affected by seasonality which further requires regular, repeated, and long-term data to understand population trends, and reactions to severe weather events. In the present case study, a regular, bi-annual population census was implemented on Comoros between 2016 and 2023 for the highly threatened Livingstone’s fruit bat, Pteropus livingstonii, and compared the results of standardized monitoring to historical population data. Seasonality had a large impact on the number of bats found at roost sites, with more bats present in the wet season, but the data over the past eight years revealed no significant in- or decrease in the number of bats counted on the island Anjouan. We estimated around 1,200–1,500 bats on Anjouan and 300–400 bats on Mohéli, and found that landcover type has no measurable effect on population distribution at roost sites. Our study highlights the need for long-term surveys to understand past population trends and that single counts are not sufficient to draw final conclusions of a species’ status.
Assessment of secular trends of three major gynecologic cancers burden and attributable risk factors from 1990 to 2019: an age period cohort analysis
Authors: Liu Yiran , Shi Wenqi , Mubarik Sumaira , Wang Fang
Published: May 2024

Background

This study aims to assess the long-term trends in the burden of three major gynecologic cancers(GCs) stratified by social-demographic status across the world from 1990 to 2019. To assess the trends of risk factor attributed mortality, and to examine the specific effects of age, period, cohort behind them in different regions.

Methods

We extracted data on the mortality, disability-adjusted life years(DALYs), and age-standardized rates(ASRs) of cervical cancer(CC), uterine cancer(UC), and ovarian cancer(OC) related to risks from 1990 to 2019, as GCs burden measures. Age-period-cohort analysis was used to analyze trends in attributable mortality rates.

Results

The number of deaths and DALYs for CC, UC and OC increased since 1990 worldwide, while the ASDRs decreased. Regionally, the ASDR of CC was the highest in low SDI region at 15.05(11.92, 18.46) per 100,000 in 2019, while the ASDRs of UC and OC were highest in high SDI region at 2.52(2.32,2.64), and 5.67(5.16,6.09). The risk of CC death caused by unsafe sex increased with age and then gradually stabilized, with regional differences. The period effect of CC death attributed to smoking showed a downward trend. The cohort effect of UC death attributed to high BMI decreased in each region, especially in the early period in middle, low-middle and low SDI areas.

Conclusions

Global secular trends of attributed mortality for the three GCs and their age, period, and cohort effects may reflect the diagnosis and treatment progress, rapid socioeconomic transitions, concomitant changes in lifestyle and behavioral patterns in different developing regions. Prevention and controllable measures should be carried out according to the epidemic status in different countries, raising awareness of risk factors to reduce future burden.
Microhardness and elemental analysis of ion-releasing restoration/ dentin interface following enzymatic chemomechanical caries excavation
Authors: Al-Wakeel Rana E. , Hamama Hamdi H. , Farahat Dina S. , El-Negoly SA
Published: May 2024

Background

This study was conducted to compare chemical, elemental and surface properties of sound and carious dentin after application of two restorative materials resin-modified glassionomer claimed to be bioactive and glass hybrid restorative material after enzymatic chemomechanical caries removal (CMCR) agent.

Methods

Forty carious and twenty non-carious human permanent molars were used. Molars were randomly distributed into three main groups: Group 1 (negative control) - sound molars, Group 2 (positive control) - molars were left without caries removal and Group 3 (Test Group) caries excavated with enzymatic based CMCR agent. After caries excavation and restoration application, all specimens were prepared Vickers microhardness test (VHN), for elemental analysis using Energy Dispersive Xray (EDX) mapping and finally chemical analysis using Micro-Raman microscopy.

Results

Vickers microhardness values of dentin with the claimed bioactive GIC specimens was statistically higher than with glass hybrid GIC specimens. EDX analysis at the junction estimated: Calcium and Phosphorus of the glass hybrid GIC showed insignificantly higher mean valued than that of the bioactive GIC. Silica and Aluminum mean values at the junction were significantly higher with bioactive GIC specimens than glass hybrid GIC specimen. Micro-raman spectroscopy revealed that bioactive GIC specimens showed higher frequencies of v 1 PO 4, which indicated high level of remineralization.

Conclusions

It was concluded that ion-releasing bioactive resin-based restorative material had increased the microhardness and remineralization rate of carries affected and sound dentin. In addition, enzymatic caries excavation with papain-based CMCR agent has no adverse effect on dentin substrate.
Factors influencing adoption of sexual and reproductive health intervention for adolescents in Ebonyi, Nigeria
Authors: Odii Aloysius , Akamike Ifeyinwa Chizoba , Mbachu Chinyere Ojiugo , Onwujekwe Obinna
Published: May 2024

Background

School and Community-embedded reproductive health interventions have been implemented in developing countries, with evidence that they led to improved sexual and reproductive health among adolescents. However, this type of intervention is rarely evaluated for its potential adoption and use. This study evaluated the constraints and enablers of the adoption of a school and community-embedded intervention that used community engagement, capacity building, partnerships and collaborations to deliver sexual and reproductive health services to adolescents.

Methods

The intervention was implemented between 2019 and 2021 in six local government areas in Ebonyi State. The results on adoption presented here were collected four months into the mid-phase of the project, targeting adolescents, parents, adult family members, healthcare providers, local authorities, and community members. Sixteen in-depth interviews were conducted with policymakers, 14 with health service providers and 18 Focus Group Discussions (FGDs) with parents, community leaders and adolescents who were part of the implementation process. The coding reliability approach, a type of thematic data analysis was used, that involves early theme development and the identification of evidence for the themes.

Results

The adoption of school and community-embedded reproductive health intervention was strong among stakeholders at the early stages of the implementation process. Multi-stakeholder involvement and its multi-component approach made the intervention appealing, thereby enabling its adoption. However, at the later stage, the adoption was constrained by beliefs and norms about sexual and reproductive health (SRH) and the non-incentivisation of stakeholders who acted as advocates at the community level. The sustainability of the intervention may be threatened by the non-incentivisation of stakeholders and the irregular supply of materials and tools to facilitate SRH advocacy at the community level.

Conclusions

The inclusive community-embedded reproductive health intervention was adopted by stakeholders because of the enablers which include timely stakeholder engagement. However, for it to be sustainable, implementers must address the non-incentivising of community-level advocates which serve as constraints.
EZH2 G553C significantly increases the risk of brain metastasis from lung cancer due to salt bridge instability
Authors: Wang Hanjun , Wang Ling , Zhang Sheng , Liu Qicai , Gao Feng
Published: May 2024

Background

The incidence and mortality of lung cancer is the highest in China and the world. Brain is the most common distant metastasis site of lung cancer. Its transfer mechanism and predictive biomarkers are still unclear. EZH2 participates in the catalysis of transcriptional inhibition complex, mediates chromatin compactness, leads to the silencing of its downstream target genes, participates in the silencing of multiple tumor suppressor genes, and is related to cell proliferation, apoptosis and cycle regulation. In physiology, EZH2 has high activity in stem cells or progenitor cells, inhibits genes related to cell cycle arrest and promotes self-renewal. To detect the expression and mutation of EZH2 gene in patients with brain metastasis of lung cancer, and provide further theoretical basis for exploring the pathogenesis of brain metastasis of lung cancer and finding reliable biomarkers to predict brain metastasis of lung cancer.

Methods

This study investigated susceptible genes for brain metastasis of lung cancer. The second-generation sequencing technology was applied to screen the differential genes of paired samples (brain metastasis tissues, lung cancer tissues and adjacent tissues) of lung cancer patients with brain metastasi.

Results

It revealed that there was a significant difference in the G553C genotype of EZH2 between lung cancer brain metastasis tissues and lung cancer tissues (p = 0.045). The risk of lung cancer brain metastasis in G allele carriers was 2.124 times higher than that in C allele carriers. Immunohistochemistry showed that compared with lung cancer patients and lung cancer patients with brain metastasis, the expression level of EZH2 in lung cancer tissues of lung cancer patients was significantly higher than that in adjacent lung tissues (p < 0.0001), and higher than that in brain metastasis tissues (p = 0.0309). RNA in situ immunohybridization showed that EZH2 mRNA expression was gradually high in lung cancer adjacent tissues, lung cancer tissues and lung cancer brain metastasis tissues.

Conclusions

EZH2 G553C polymorphism contributes to the prediction of brain metastasis of lung cancer, in which G allele carriers are more prone to brain metastasis.
Using image segmentation models to analyse high-resolution earth observation data: new tools to monitor disease risks in changing environments
Authors: Trujillano Fedra , Jimenez Gabriel , Manrique Edgar , Kahamba Najat F. , Okumu Fredros , Apollinaire Nombre , Carrasco-Escobar Gabriel , Barrett Brian , Fornace Kimberly
Published: May 2024

Background

In the near future, the incidence of mosquito-borne diseases may expand to new sites due to changes in temperature and rainfall patterns caused by climate change. Therefore, there is a need to use recent technological advances to improve vector surveillance methodologies. Unoccupied Aerial Vehicles (UAVs), often called drones, have been used to collect high-resolution imagery to map detailed information on mosquito habitats and direct control measures to specific areas. Supervised classification approaches have been largely used to automatically detect vector habitats. However, manual data labelling for model training limits their use for rapid responses. Open-source foundation models such as the Meta AI Segment Anything Model (SAM) can facilitate the manual digitalization of high-resolution images. This pre-trained model can assist in extracting features of interest in a diverse range of images. Here, we evaluated the performance of SAM through the Samgeo package, a Python-based wrapper for geospatial data, as it has not been applied to analyse remote sensing images for epidemiological studies.

Results

We tested the identification of two land cover classes of interest: water bodies and human settlements, using different UAV acquired imagery across five malaria-endemic areas in Africa, South America, and Southeast Asia. We employed manually placed point prompts and text prompts associated with specific classes of interest to guide the image segmentation and assessed the performance in the different geographic contexts. An average Dice coefficient value of 0.67 was obtained for buildings segmentation and 0.73 for water bodies using point prompts. Regarding the use of text prompts, the highest Dice coefficient value reached 0.72 for buildings and 0.70 for water bodies. Nevertheless, the performance was closely dependent on each object, landscape characteristics and selected words, resulting in varying performance.

Conclusions

Recent models such as SAM can potentially assist manual digitalization of imagery by vector control programs, quickly identifying key features when surveying an area of interest. However, accurate segmentation still requires user-provided manual prompts and corrections to obtain precise segmentation. Further evaluations are necessary, especially for applications in rural areas.
Exploring new avenues of health protection: plant-derived nanovesicles reshape microbial communities
Authors: Chen Xiaohang , He Lianghang , Zhang Chaochao , Zheng Genggeng , Lin Shuoqi , Zou Yuchun , Lu Youguang , Feng Yan , Zheng Dali
Published: May 2024

Symbiotic microbial communities are crucial for human health, and dysbiosis is associated with various diseases. Plant-derived nanovesicles (PDNVs) have a lipid bilayer structure and contain lipids, metabolites, proteins, and RNA. They offer unique advantages in regulating microbial community homeostasis and treating diseases related to dysbiosis compared to traditional drugs. On the one hand, lipids on PDNVs serve as the primary substances that mediate specific recognition and uptake by bacteria. On the other hand, due to the multifactorial nature of PDNVs, they have the potential to enhance growth and survival of beneficial bacterial while simultaneously reducing the pathogenicity of harmful bacteria. In addition, PDNVs have the capacity to modulate bacterial metabolism, thus facilitating the establishment of a harmonious microbial equilibrium and promoting stability within the microbiota. These remarkable attributes make PDNVs a promising therapeutic approach for various conditions, including periodontitis, inflammatory bowel disease, and skin infection diseases. However, challenges such as consistency, isolation methods, and storage need to be addressed before clinical application. This review aims to explore the value of PDNVs in regulating microbial community homeostasis and provide recommendations for their use as novel therapeutic agents for health protection.

Graphical Abstract
Probiotic-derived amphiphilic exopolysaccharide self-assembling adjuvant delivery platform for enhancing immune responses
Authors: Sheng Shouxin , Zhang Haochi , Li Xinyu , Chen Jian , Wang Pu , Liang Yanchen , Li Chunhe , Li Haotian , Pan Na , Bao Xuemei , Liu Mengnan , Zhao Lixia , Li Xiaoyan , Guan Pingyuan , Wang Xiao
Published: May 2024

Enhancing immune response activation through the synergy of effective antigen delivery and immune enhancement using natural, biodegradable materials with immune-adjuvant capabilities is challenging. Here, we present NAPSL.p that can activate the Toll-like receptor 4 (TLR4) pathway, an amphiphilic exopolysaccharide, as a potential self-assembly adjuvant delivery platform. Its molecular structure and unique properties exhibited remarkable self-assembly, forming a homogeneous nanovaccine with ovalbumin (OVA) as the model antigen. When used as an adjuvant, NAPSL.p significantly increased OVA uptake by dendritic cells. In vivo imaging revealed prolonged pharmacokinetics of NAPSL. p-delivered OVA compared to OVA alone. Notably, NAPSL.p induced elevated levels of specific serum IgG and isotype titers, enhancing rejection of B16-OVA melanoma xenografts in vaccinated mice. Additionally, NAPSL.p formulation improved therapeutic effects, inhibiting tumor growth, and increasing animal survival rates. The nanovaccine elicited CD4+ and CD8+ T cell-based immune responses, demonstrating the potential for melanoma prevention. Furthermore, NAPSL.p-based vaccination showed stronger protective effects against influenza compared to Al (OH)3 adjuvant. Our findings suggest NAPSL.p as a promising, natural self-adjuvanting delivery platform to enhance vaccine design across applications.
Conserved genes regulating human sex differentiation, gametogenesis and fertilization
Authors: Fakhro Khalid A. , Awwad Johnny , Garibova Suma , Saraiva Luis R. , Avella Matteo
Published: May 2024

The study of the functional genome in mice and humans has been instrumental for describing the conserved molecular mechanisms regulating human reproductive biology, and for defining the etiologies of monogenic fertility disorders. Infertility is a reproductive disorder that includes various conditions affecting a couple’s ability to achieve a healthy pregnancy. Recent advances in next-generation sequencing and CRISPR/Cas-mediated genome editing technologies have facilitated the identification and characterization of genes and mechanisms that, if affected, lead to infertility. We report established genes that regulate conserved functions in fundamental reproductive processes (e.g., sex determination, gametogenesis, and fertilization). We only cover genes the deletion of which yields comparable fertility phenotypes in both rodents and humans. In the case of newly-discovered genes, we report the studies demonstrating shared cellular and fertility phenotypes resulting from loss-of-function mutations in both species. Finally, we introduce new model systems for the study of human reproductive biology and highlight the importance of studying human consanguineous populations to discover novel monogenic causes of infertility. The rapid and continuous screening and identification of putative genetic defects coupled with an efficient functional characterization in animal models can reveal novel mechanisms of gene function in human reproductive tissues.
Exosomes regulate SIRT3-related autophagy by delivering miR-421 to regulate macrophage polarization and participate in OSA-related NAFLD
Authors: Yang Li , Liu Shijie , He Yan , Gan Lulu , Ni Qing , Dai Anni , Mu Changhuan , Liu Qian , Chen Hongyan , Lu Hongying , Sun Ruixue
Published: May 2024

Purpose

To analyze the role of and mechanism underlying obstructive sleep apnea (OSA)-derived exosomes in inducing non-alcoholic fatty liver (NAFLD).

Methods

The role of OSA-derived exosomes was analyzed in inducing hepatocyte fat accumulation in mice models both in vivo and in vitro.

Results

OSA-derived exosomes caused fat accumulation and macrophage activation in the liver tissue. These exosomes promoted fat accumulation; steatosis was more noticeable in the presence of macrophages. Macrophages could internalize OSA-derived exosomes, which promoted macrophage polarization to the M1 type. Moreover, it inhibited sirtuin-3 (SIRT3)/AMP-activated protein kinase (AMPK) and autophagy and promoted the activation of nucleotide-binding domain, leucine-rich–containing family, pyrin domain–containing-3 (NLRP3) inflammasomes. The use of 3-methyladenine (3-MA) to inhibit autophagy blocked NLRP3 inflammasome activation and inhibited the M1 polarization of macrophages. miR-421 targeting inhibited SIRT3 protein expression in the macrophages. miR-421 was significantly increased in OSA-derived exosomes. Additionally, miR-421 levels were increased in OSA + NAFLD mice- and patient-derived exosomes. In the liver tissues of OSA and OSA + NAFLD mice, miR-421 displayed similar co-localization with the macrophages. Intermittent hypoxia-induced hepatocytes deliver miR-421 to the macrophages via exosomes to inhibit SIRT3, thereby participating in macrophage M1 polarization. After OSA and NAFLD modeling in miR-421−/− mice, liver steatosis and M1 polarization were significantly reduced. Additionally, in the case of miR-421 knockout, the inhibitory effects of OSA-derived exosomes on SIRT3 and autophagy were significantly alleviated. Furthermore, their effects on liver steatosis and macrophage M1 polarization were significantly reduced.

Conclusions

OSA promotes the delivery of miR-421 from the hepatocytes to macrophages. Additionally, it promotes M1 polarization by regulating the SIRT3/AMPK-autophagy pathway, thereby causing NAFLD.
TCL1A-expressing B cells are critical for tertiary lymphoid structure formation and the prognosis of oral squamous cell carcinoma
Authors: Xie Wenqiang , Lu Jinjin , Chen Yichen , Wang Xi , Lu Huanzi , Li Qunxing , Jin Nianqiang , He Jiankang , Ou Lingling , Ni Jia , Shen Yuqin , Shao Longquan
Published: May 2024

Background

Oral squamous cell carcinoma (OSCC) is a malignant tumor with a poor prognosis. Traditional treatments have limited effectiveness. Regulation of the immune response represents a promising new approach for OSCC treatment. B cells are among the most abundant immune cells in OSCC. However, the role of B cells in OSCC treatment has not been fully elucidated.

Methods

Single-cell RNA sequencing analysis of 13 tissues and 8 adjacent normal tissues from OSCC patients was performed to explore differences in B-cell gene expression between OSCC tissues and normal tissues. We further investigated the relationship between differentially expressed genes and the immune response to OSCC. We utilized tissue microarray data for 146 OSCC clinical samples and RNA sequencing data of 359 OSCC samples from The Cancer Genome Atlas (TCGA) to investigate the role of T-cell leukemia 1 A (TCL1A) in OSCC prognosis. Multiplex immunohistochemistry (mIHC) was employed to investigate the spatial distribution of TCL1A in OSCC tissues. We then investigated the effect of TCL1A on B-cell proliferation and trogocytosis. Finally, lentiviral transduction was performed to induce TCL1A overexpression in B lymphoblastoid cell lines (BLCLs) to verify the function of TCL1A.

Results

Our findings revealed that TCL1A was predominantly expressed in B cells and was associated with a better prognosis in OSCC patients. Additionally, we found that TCL1A-expressing B cells are located at the periphery of lymphatic follicles and are associated with tertiary lymphoid structures (TLS) formation in OSCC. Mechanistically, upregulation of TCL1A promoted the trogocytosis of B cells on dendritic cells by mediating the upregulation of CR2, thereby improving antigen-presenting ability. Moreover, the upregulation of TCL1A expression promoted the proliferation of B cells.

Conclusion

This study revealed the role of B-cell TCL1A expression in TLS formation and its effect on OSCC prognosis. These findings highlight TCL1A as a novel target for OSCC immunotherapy.
Assessing mortality risk in Type 2 Diabetes patients with prolonged ASCVD risk factors: the inclusive Poh-Ai predictive scoring system with CAC Score integration
Authors: Lei Meng-Huan , Hsu Yu-Chen , Chung Sheng-Liang , Chen Chao-Chin , Chen Wei-Cheng , Chen Wan-Ming , Jao An-Tzu , Hsiao Ju-Feng , Hsu Jen-Te , Wu Szu-Yuan
Published: May 2024

Purpose

To enhance the predictive risk model for all-cause mortality in individuals with Type 2 Diabetes (T2DM) and prolonged Atherosclerotic Cardiovascular Disease (ASCVD) risk factors. Despite the utility of the Coronary Artery Calcium (CAC) score in assessing cardiovascular risk, its capacity to predict all-cause mortality remains limited.

Methods

A retrospective cohort study included 1929 asymptomatic T2DM patients with ASCVD risk factors, aged 40–80. Variables encompassed demographic attributes, clinical parameters, CAC scores, comorbidities, and medication usage. Factors predicting all-cause mortality were selected to create a predictive scoring system. By using stepwise selection in a multivariate Cox proportional hazards model, we divided the patients into three risk groups.

Results

In our analysis of all-cause mortality in T2DM patients with extended ASCVD risk factors over 5 years, we identified significant risk factors, their adjusted hazard ratios (aHR), and scores: e.g., CAC score > 1000 (aHR: 1.57, score: 2), CAC score 401–1000 (aHR: 2.05, score: 2), and more. These factors strongly predict all-cause mortality, with varying risk groups (e.g., very low-risk: 2.0%, very high-risk: 24.0%). Significant differences in 5-year overall survival rates were observed among these groups (log-rank test < 0.001).

Conclusion

The Poh-Ai Predictive Scoring System excels in forecasting mortality and cardiovascular events in individuals with Type 2 Diabetes Mellitus and extended ASCVD risk factors.
Hospital admission and mortality rates for ischemic heart disease in Thailand: 2012–2021
Authors: Sakboonyarat Boonsub , Rangsin Ram
Published: May 2024

Objective

To provide an update on the epidemiology of ischemic heart disease (IHD), including the age-standardized rates of hospital admission and mortality for IHD in Thailand from 2012 to 2021, using the Ministry of Public Health National database.

Results

The overall age-standardized hospital admission rate for IHD decreased from 427.5 per 100,000 people in 2012 to 390.5 per 100,000 in 2021. In men, the age-standardized hospital admission rate was 462.7 per 100,000 people in 2012, reaching 485.8 per 100,000 in 2021, p for trend = 0.141. In women, the age-standardization hospital admission rate for IHD dropped by 24.1% over the decade (p for trend = 0.008). The overall age-standardized IHD mortality rate in 2012 was 23.4 per 100,000 people, peaked at 28.6 per 100,000 in 2016, and reached 26.9 per 100,000 in 2021, p for trend = 0.181. In men, the age-standardized IHD mortality rate rose by 26.6% over a decade, p for trend = 0.004. The age-standardized IHD mortality rate among women was consistent from 2012 to 2021, p for trend = 0.130. However, for people aged < 60, rising trends in IHD mortality rates over a decade were observed; it rose by 59.6% in men and 36.1% in women.
Pharmacotherapy for alcohol use disorder among adults with medical disorders in Sweden
Authors: Månsson Anastasia , Danielsson Anna-Karin , Sjöqvist Hugo , Glatz Toivo , Lundin Andreas , Wallhed Finn Sara
Published: May 2024

Background

Alcohol-attributable medical disorders are prevalent among individuals with alcohol use disorder (AUD). However, there is a lack of research on prescriptions of pharmacological treatment for AUD in those with comorbid conditions. This study aims to investigate the utilization of pharmacological treatment (acamprosate, disulfiram and naltrexone) in specialist care among patients with AUD and comorbid medical diagnoses.

Methods

This was a descriptive register-based Swedish national cohort study including 132,728 adults diagnosed with AUD (N = 270,933) between 2007 and 2015. The exposure was alcohol-attributable categories of comorbid medical diagnoses. Odds ratios (OR) were calculated using mixed-effect logistic regression analyses for any filled prescription of acamprosate, disulfiram or oral naltrexone within 12 months post AUD diagnosis.

Results

Individuals with comorbid alcohol-attributable medical diagnoses had lower odds of filling prescriptions for any type of AUD pharmacotherapy compared to those without such comorbidities. Cardiovascular (OR = 0.41 [95% CI: 0.39–0.43]), neurological (OR = 0.52 [95% CI: 0.48–0.56]) and gastrointestinal (OR = 0.57 [95% CI: 0.54–0.60]) diseases were associated with the lowest rates of prescription receipt. The presence of diagnoses which are contraindications to AUD pharmacotherapy did not fully explain the low prescription rate.

Conclusion

There is a substantial underutilization of AUD pharmacotherapy in patients with AUD and comorbid medical disorders in specialist care. Increasing the provision of pharmacotherapy to this group of patients is essential and may prevent morbidity and mortality. There is a need to further understand barriers to medical treatment both from the patient and prescriber perspective.
The incidence and factors associated with anemia in elective surgical patients admitted to a surgical intensive care unit: a retrospective cohort study
Authors: Wubet Habtie Bantider , Mengistu Lidya Haddis , Gobezie Negesse Zurbachew , Mekuriaw Begizew Yimenu , Mebratie Alemie Fentie , Sahile Wosenyeleh Admasu
Published: May 2024

Background

Anemia is a frequently reported and commonly documented issue in intensive care units. In surgical intensive care units, more than 90% of patients are found to be anemic. It is a hematologic factor that contributes to extended mechanical ventilation, sepsis, organ failure, longer hospitalizations in critical care units, and higher mortality. Thus, this study aimed to determine the incidence and identify factors associated with anemia in elective surgical patients admitted to the surgical intensive care unit.

Methods

A retrospective follow-up study involving 422 hospitalized patients was carried out between December 2019 and December 2022 in the surgical intensive care unit after elective surgery at Tikur-Anbessa Specialized Hospital, Addis Ababa, Ethiopia. Data were gathered from the patients’ charts, and study participants were chosen using methods of systematic random sampling. SPSS 26 (the statistical software for social science, version 26) was used to analyze the data. Bivariable and multivariable binary logistic regression were used to examine associations between variables.

Results

The incidence of anemia in elective surgical patients admitted to the intensive care unit was 69.9% (95% CI 65.4–74.5%). American Society of Anesthesiologists’ class III (ASA III) [AOR: 8.53, 95% CI 1.92–13.8], renal failure [AOR:2.53, 95% CI (1.91–5.81)], malignancy [AOR: 2.59, 95% CI (1.31–5.09)], thoracic surgery [AOR: 4.07, 95% CI (2.11–7.87)], urologic surgery [AOR: 6.22, 95% CI (2.80–13.80)], and neurosurgery [AOR: 4.51, 95% CI (2.53–8.03)] were significantly associated with anemia in surgical patients admitted to the intensive care unit.

Conclusion

More than two-thirds of the intensive care unit-admitted surgical patients experienced anemia. An American Society of Anesthesiologists’ (ASA III score), renal failure, malignancy, thoracic surgery, urologic surgery, and neurosurgery were significantly associated with this condition. Early identification helps to institute preventive and therapeutic measures.
Modeling the economic cost of congestion in Addis Ababa City, Ethiopia
Authors: Gunjo Semen Bekele , Guta Dawit Diriba , Damene Shimeles
Published: May 2024

Road traffic which results in significant time lags, increased fuel consumption, and financial losses, remains a noteworthy challenge in developed and developing countries. As a result, the Ethiopian Government and the City Administration of Addis Ababa have built extensive road networks and imposed restrictions on driving, vehicle acquisition and parking. However, despite all these efforts, drivers and passengers waste significant time on long traffic queues, resulting in unpredictable and delayed travel. The current study investigated the cost of travel time delay, vehicle operating costs, time reliability, and the factors influencing these variables. The study used questionnaires, measurements, and traffic counting techniques to collect data from nine road segments. The sample comprised 3240 participants. The cost functions of both drivers and passengers were examined using a multiple linear regression model, with estimation performed using ordinary least squares. According to the findings, the economic costs of congestion depend on the number of lanes, the length of the road segment, the volume of traffic, and the respondents’ income level. The study also revealed that travel, vehicle operation, and unreliability costs account for 74%, 6%, and 20%, respectively, of the total congestion costs.
Prediction of resilience based on parenting and coping strategies in patients with psychosomatic disorders
Authors: Sobhani Sogand , Jamilian Hamidreza , Paknejad Iman
Published: May 2024

The present research was conducted aiming at predicting the resilience based on parenting and coping strategies in patients with psychosomatic disorders. The statistical population of the present research consisted of all patients suffering from psychosomatic disorders who had visited medical clinics related to Medical Sciences (University) of Arak County in 2019-20. The statistical sample includes 347 women, aged 18 to 55 years-old, who were selected by available sampling. Data collection tool included Young parenting, Moss and Billings coping strategies questionnaire and Connor and Davidson resilience questionnaire. Pearson’s correlation coefficient and multiple regression analysis were used to analyze the data. The findings showed that parenting (dependency, preoccupied/untransformed self) have a negative and significant relationship with resilience. Coping strategies focused on emotion, coping focused on physical restraint or physicalization of problems have a negative and significant relationship with resilience and have a positive and significant relationship with coping strategies focused on problem-solving and coping focused on cognitive evaluation. According to the findings, it can be concluded that it is possible to pave the way for increasing resilience and preventing the development of psychosomatic disorders by creating suitable conditions during the childhood, improving parent-child relationships, and by strengthening coping strategies focused on problem-solving and coping focused on cognitive evaluation.
A vulnerability evaluation method of earthen sites based on entropy weight-TOPSIS and K-means clustering
Authors: Peng Ningbo , Zhang Chaokai , Zhu Ye , Zhang Yue , Sun Bo , Wang Fengrui , Huang Jizhong , Wu Tong
Published: May 2024

The degradation of earthen sites due to natural and human factors has become a pressing issue, necessitating urgent protection measures. In this context, accurate assessment of the vulnerability of earthen sites is essential for the development of effective conservation strategies. In this study, a comprehensive evaluation framework that incorporates multiple indicators is proposed. In particular, the entropy weight- (Technique for Order Preference by Similarity to an Ideal Solution) TOPSIS method is employed for quantitative vulnerability assessment and combined with K-means clustering to define vulnerability levels for earthen sites. To validate the proposed approach, the vulnerability of 29 sections of the Ming Great Wall is evaluated. Eventually, the 29 earthen sites are categorized into three levels: high, medium, and low, according to their degree of vulnerability. The results of gray correlation analysis and entropy weight-TOPSIS method are compared using the ontology missing amount in the original data as the validation standard. The results show that the Pearson correlation coefficient value of the entropy weight-TOPSIS method with the ontology missing amount was 0.859, while the Pearson correlation coefficient value of the gray correlation analysis method with the ontology missing amount was 0.691, so that the results of the entropy weight-TOPSIS method can more accurately reflect the actual vulnerability of earthen sites.