SLAS Technology最新文献

英文中文

AI-Driven Predictive Modeling for Disease Prevention and Early Detection.

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-03-01 DOI: 10.1016/j.slast.2025.100263

Bikash Behera, Azeem Irshad, Imad Rida, Mohammad Shabaz

引用次数: 0

Association between dietary fiber intake and gallstone disease in US adults: data from NHANES 2017-2020.

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-02-28 DOI: 10.1016/j.slast.2025.100259

Tian Liu, Huimin Lv, Jia Li, Yusheng Chen, Mengnan Chen

Background: Gallstone disease is a widespread condition affecting the gastrointestinal tract, and poor diet is believed to be one of the reasons for its occurrence. Previous studies of dietary fiber intake and gallstones have limitations. The study's goal is to investigate the relationship between dietary fiber intake and gallstone prevalence in US adults.

Materials and methods: Data from NHANES 2017 to March 2020 is used for the study. The association between fiber intake and gallstone prevalence was analyzed using multivariate logistic regression. To confirm the results' robustness, we performed sensitivity analyses also.

Results: Among the 6,051 U.S. adults aged over 20 with complete information, the prevalence of gallstones was 10.8% (651/6051). After adjusting for relevant covariates, an increase in fiber intake of 5 g/day was associated with an 11% decrease in the prevalence of gallstones (fully adjusted OR = 0.89, 95% CI: 0.83-0.95). Participants were divided into high (>25 g/d) and low (≤25 g/d) fiber intake groups. Still significant negative association between dietary fiber intake and gallstones (fully adjusted OR = 0.66, 95% CI: 0.49-0.91). Further dividing dietary fiber intake level into quintiles sustained this negative relationship, particularly showing the lowest gallstone occurrence in the highest dietary fiber group (OR = 0.63, 95% CI: 0.44-0.91). While the stratified analyses indicated variability in the relationship between dietary fiber intake and the prevalence of gallstones, no interactive effects were identified in this association according to the interaction analysis.

Conclusions: This study confirms that dietary fiber intake is negatively associated with the prevalence of gallstones. Sufficient dietary fiber intake might protect from gallstones. In order to formulate dietary recommendations, it is important to carry out prospective studies to validate the observed associations.

{"title":"Association between dietary fiber intake and gallstone disease in US adults: data from NHANES 2017-2020.","authors":"Tian Liu, Huimin Lv, Jia Li, Yusheng Chen, Mengnan Chen","doi":"10.1016/j.slast.2025.100259","DOIUrl":"https://doi.org/10.1016/j.slast.2025.100259","url":null,"abstract":"<p><strong>Background: </strong>Gallstone disease is a widespread condition affecting the gastrointestinal tract, and poor diet is believed to be one of the reasons for its occurrence. Previous studies of dietary fiber intake and gallstones have limitations. The study's goal is to investigate the relationship between dietary fiber intake and gallstone prevalence in US adults.</p><p><strong>Materials and methods: </strong>Data from NHANES 2017 to March 2020 is used for the study. The association between fiber intake and gallstone prevalence was analyzed using multivariate logistic regression. To confirm the results' robustness, we performed sensitivity analyses also.</p><p><strong>Results: </strong>Among the 6,051 U.S. adults aged over 20 with complete information, the prevalence of gallstones was 10.8% (651/6051). After adjusting for relevant covariates, an increase in fiber intake of 5 g/day was associated with an 11% decrease in the prevalence of gallstones (fully adjusted OR = 0.89, 95% CI: 0.83-0.95). Participants were divided into high (>25 g/d) and low (≤25 g/d) fiber intake groups. Still significant negative association between dietary fiber intake and gallstones (fully adjusted OR = 0.66, 95% CI: 0.49-0.91). Further dividing dietary fiber intake level into quintiles sustained this negative relationship, particularly showing the lowest gallstone occurrence in the highest dietary fiber group (OR = 0.63, 95% CI: 0.44-0.91). While the stratified analyses indicated variability in the relationship between dietary fiber intake and the prevalence of gallstones, no interactive effects were identified in this association according to the interaction analysis.</p><p><strong>Conclusions: </strong>This study confirms that dietary fiber intake is negatively associated with the prevalence of gallstones. Sufficient dietary fiber intake might protect from gallstones. In order to formulate dietary recommendations, it is important to carry out prospective studies to validate the observed associations.</p>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":" ","pages":"100259"},"PeriodicalIF":2.5,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143538171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MRI-based differentiation of Parkinson's disease by cerebellar gray matter volume

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-02-27 DOI: 10.1016/j.slast.2025.100260

Dacong Zhao , Jiang Guo , Guanghua Lu , Rui Jiang , Chao Tian , Xu Liang

Background

The underlying mechanism of Parkinson's disease (PD) is associated with the neurodegeneration of the dopaminergic neurons, and the cerebellum plays a significant role together in non-motor and motor functions in PD progression. Morphological changes in the cerebellum can greatly impact patients' clinical symptoms, especially motor control symptoms, and may also help distinguish patients from healthy subjects. This study aimed to explore the potential of cerebellar gray matter volume, related to motor control function, as a neuroimaging biomarker to classify patients with PD and healthy controls (HC) by using voxel-based morphometric (VBM) measurements and support vector machine (SVM) methods based on independent component analysis (ICA).

Methods

Cerebellar gray matter volume was measured using VBM in patients with PD (n = 27) and HC (n = 16) from the Neurocon dataset. ICA analysis was performed on the gray matter volume of all subregions, resulting in 7 independent components. These independent components were then utilized for correlation analysis with clinical scales and trained as input features for the SVM model. PD patients (n = 20) and HC (n = 20) from the TaoWu dataset were used as test data to validate our SVM model.

Results

Among patients with PD, 3 out of the 7 independent components showed a significant correlation with clinical scales. The SVM model achieved an accuracy of 86 % in classifying PD patients and HC, with a sensitivity of 72.2 %, specificity of 88 %, and F1 Score of 76.5 %. The accuracy of the SVM model verification analysis using the TaoWu dataset was 70 %, with a sensitivity of 62.5 %, a specificity of 100 %, and the F1 Score was 76.9 %.

Conclusions

The results suggest that abnormal cerebellar gray matter volume, which is highly correlated with motor control function in Parkinson's patients, may serve as a valuable neuroimaging biomarker capable of distinguishing Parkinson's patients from healthy individuals. We observed that the combination of the ICA method and the SVM method produced an improved classification model. This model may function as an early warning tool that enables clinicians to conduct preliminary identification and intervention for patients with PD.

{"title":"MRI-based differentiation of Parkinson's disease by cerebellar gray matter volume","authors":"Dacong Zhao , Jiang Guo , Guanghua Lu , Rui Jiang , Chao Tian , Xu Liang","doi":"10.1016/j.slast.2025.100260","DOIUrl":"10.1016/j.slast.2025.100260","url":null,"abstract":"<div><h3>Background</h3><div>The underlying mechanism of Parkinson's disease (PD) is associated with the neurodegeneration of the dopaminergic neurons, and the cerebellum plays a significant role together in non-motor and motor functions in PD progression. Morphological changes in the cerebellum can greatly impact patients' clinical symptoms, especially motor control symptoms, and may also help distinguish patients from healthy subjects. This study aimed to explore the potential of cerebellar gray matter volume, related to motor control function, as a neuroimaging biomarker to classify patients with PD and healthy controls (HC) by using voxel-based morphometric (VBM) measurements and support vector machine (SVM) methods based on independent component analysis (ICA).</div></div><div><h3>Methods</h3><div>Cerebellar gray matter volume was measured using VBM in patients with PD (n = 27) and HC (n = 16) from the Neurocon dataset. ICA analysis was performed on the gray matter volume of all subregions, resulting in 7 independent components. These independent components were then utilized for correlation analysis with clinical scales and trained as input features for the SVM model. PD patients (n = 20) and HC (n = 20) from the TaoWu dataset were used as test data to validate our SVM model.</div></div><div><h3>Results</h3><div>Among patients with PD, 3 out of the 7 independent components showed a significant correlation with clinical scales. The SVM model achieved an accuracy of 86 % in classifying PD patients and HC, with a sensitivity of 72.2 %, specificity of 88 %, and F1 Score of 76.5 %. The accuracy of the SVM model verification analysis using the TaoWu dataset was 70 %, with a sensitivity of 62.5 %, a specificity of 100 %, and the F1 Score was 76.9 %.</div></div><div><h3>Conclusions</h3><div>The results suggest that abnormal cerebellar gray matter volume, which is highly correlated with motor control function in Parkinson's patients, may serve as a valuable neuroimaging biomarker capable of distinguishing Parkinson's patients from healthy individuals. We observed that the combination of the ICA method and the SVM method produced an improved classification model. This model may function as an early warning tool that enables clinicians to conduct preliminary identification and intervention for patients with PD.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100260"},"PeriodicalIF":2.5,"publicationDate":"2025-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143538172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

LDM: A web application for automated management and visualization of laboratory screening data

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-02-21 DOI: 10.1016/j.slast.2025.100258

David Meyer , Anastasia Escher , Eva Riegler , David Keller , Michael Prummer , Stephanie Huber , Tijmen Booij

High-throughput screening (HTS) is essential in preclinical research to identify new drug candidates for specific diseases. This process typically generates large amounts of data that require effective storage, management, and analysis. Traditional methods for handling HTS data involve several standalone solutions, which can present challenges regarding data accessibility and reproducibility. We introduce Lab Data Management (LDM), an open-source web application developed to automate the management and visualization of HTS data. LDM provides a highly customizable data management system with an intuitive user interface for handling output data from various laboratory instruments, such as plate readers, microscopes, liquid handlers, and barcode readers. The app allows for results visualization and calculation of quality control metrics. An integrated Jupyter notebook can be used to retrieve the stored data and proceed with a more detailed analysis.

引用次数: 0

Integrating NLP and LLMs to discover biomarkers and mechanisms in Alzheimer's disease

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-02-21 DOI: 10.1016/j.slast.2025.100257

JinTao Song, JunJie Huang, RuiLi Liu

Alzheimer's disease (AD) is a progressive neurological condition characterized by cognitive decline, memory loss, and aberrant behaviour. It affects millions of people globally and is one of the main causes of dementia. The neurodegenerative condition known as AD has intricate, multifaceted mechanisms that make it difficult to comprehend and identify in its early stages. Conventional diagnostic techniques frequently fail to detect the disease in its early stages. By combining Natural Language Processing (NLP) and Large Language Models (LLMs), this research suggests a novel approach for identifying potential biomarkers and underlying mechanisms of AD. Clinical data is gathered from publicly accessible databases and healthcare facilities, including genetic information, neuroimaging scans, and medical records. The pre-processing of unstructured clinical notes involves tokenization and genetic profiles and neuroimaging data are normalized by Z-score normalization for consistency. Multi-Input Convolutional Neural Networks (MI-CNN) are employed to efficiently fuse diverse data sources, allowing for a thorough analysis. Key biomarkers linked to AD are identified and categorized using the Genetic Algorithm combined with Bidirectional Encoder Representations from Transformers (BERT) (GenBERT). By fine-tuning BERT's hyperparameters using genetic optimization approaches, GenBERT enables the effective analysis of large medical datasets, such as patient histories, genetic data, and clinical notes. The combination strategy increases feature selection and the model's capacity to identify minute genomic and linguistic patterns suggestive of AD. The goal of this integrated strategy is to provide early diagnostic tools and new insights into the pathogenesis of the disease, which could transform methods for detecting and treating AD. As it concerns early AD prediction, the GenBERT model performs better than current techniques, obtaining the highest accuracy (98.30%) and F1-score (0.97), as well as greater precision (0.95) and recall (0.92). Additionally, it demonstrates its capacity to reliably identify both positive and negative AD cases with sensitivity (98.65%) and specificity (99.73%). Overall, GenBERT offers a trustworthy and useful tool for AD early diagnosis.

{"title":"Integrating NLP and LLMs to discover biomarkers and mechanisms in Alzheimer's disease","authors":"JinTao Song, JunJie Huang, RuiLi Liu","doi":"10.1016/j.slast.2025.100257","DOIUrl":"10.1016/j.slast.2025.100257","url":null,"abstract":"<div><div>Alzheimer's disease (AD) is a progressive neurological condition characterized by cognitive decline, memory loss, and aberrant behaviour. It affects millions of people globally and is one of the main causes of dementia. The neurodegenerative condition known as AD has intricate, multifaceted mechanisms that make it difficult to comprehend and identify in its early stages. Conventional diagnostic techniques frequently fail to detect the disease in its early stages. By combining Natural Language Processing (NLP) and Large Language Models (LLMs), this research suggests a novel approach for identifying potential biomarkers and underlying mechanisms of AD. Clinical data is gathered from publicly accessible databases and healthcare facilities, including genetic information, neuroimaging scans, and medical records. The pre-processing of unstructured clinical notes involves tokenization and genetic profiles and neuroimaging data are normalized by Z-score normalization for consistency. Multi-Input Convolutional Neural Networks (MI-CNN) are employed to efficiently fuse diverse data sources, allowing for a thorough analysis. Key biomarkers linked to AD are identified and categorized using the Genetic Algorithm combined with Bidirectional Encoder Representations from Transformers (BERT) (GenBERT). By fine-tuning BERT's hyperparameters using genetic optimization approaches, GenBERT enables the effective analysis of large medical datasets, such as patient histories, genetic data, and clinical notes. The combination strategy increases feature selection and the model's capacity to identify minute genomic and linguistic patterns suggestive of AD. The goal of this integrated strategy is to provide early diagnostic tools and new insights into the pathogenesis of the disease, which could transform methods for detecting and treating AD. As it concerns early AD prediction, the GenBERT model performs better than current techniques, obtaining the highest accuracy (98.30%) and F1-score (0.97), as well as greater precision (0.95) and recall (0.92). Additionally, it demonstrates its capacity to reliably identify both positive and negative AD cases with sensitivity (98.65%) and specificity (99.73%). Overall, GenBERT offers a trustworthy and useful tool for AD early diagnosis.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100257"},"PeriodicalIF":2.5,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143484644","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Semi-automated layer-by-layer biofabrication using rotational internal flow layer engineering technology

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-02-21 DOI: 10.1016/j.slast.2025.100256

Gwyneth West , Sneha Ravi , Jamie A Davies , Ian Holland

The automation of biofabrication processes has the potential to increase both the scale and reproducibility of human tissue production for replacing animal usage in research and ultimately clinical use. The biofabrication technology, Rotational Internal Flow Layer Engineering (RIFLE), produces layered tubular constructs with a resolution commensurate with the microscale strata observed in many human tissue types. The previously published RIFLE process required liquid phase cell-laden hydrogels to be manually applied onto the inner surface of a high-speed rotating mould. Here we describe improvement of the RIFLE system by automating elements of the process, in particular the liquid dispensing element, and present the use of this system for two commonly used biofabrication hydrogels; alginate and collagen. Semi-automatically assembled cell layers matched the viabilities of those produced manually, with automated collagen demonstrating the highest viabilities (>91 %) over the 10 days measured, highlighting its advantages as a material for tissue engineering applications. The encapsulation of labelled cells in predefined collagen layer patterns confirmed that the semi-automated RIFLE system was able to assemble separate cell populations in cell-width layers (≈14 µ m). Semi-automated dosing reduced the manual operations in the RIFLE process, reducing the workload on researchers and minimising the opportunity for human error. Further opportunity exists for higher levels of automation in the overall process, particularly needed in the preparation of cell-hydrogel suspensions, a common manual labour-intensive process in many biofabrication technologies.

{"title":"Semi-automated layer-by-layer biofabrication using rotational internal flow layer engineering technology","authors":"Gwyneth West , Sneha Ravi , Jamie A Davies , Ian Holland","doi":"10.1016/j.slast.2025.100256","DOIUrl":"10.1016/j.slast.2025.100256","url":null,"abstract":"<div><div>The automation of biofabrication processes has the potential to increase both the scale and reproducibility of human tissue production for replacing animal usage in research and ultimately clinical use. The biofabrication technology, Rotational Internal Flow Layer Engineering (RIFLE), produces layered tubular constructs with a resolution commensurate with the microscale strata observed in many human tissue types. The previously published RIFLE process required liquid phase cell-laden hydrogels to be manually applied onto the inner surface of a high-speed rotating mould. Here we describe improvement of the RIFLE system by automating elements of the process, in particular the liquid dispensing element, and present the use of this system for two commonly used biofabrication hydrogels; alginate and collagen. Semi-automatically assembled cell layers matched the viabilities of those produced manually, with automated collagen demonstrating the highest viabilities (>91 %) over the 10 days measured, highlighting its advantages as a material for tissue engineering applications. The encapsulation of labelled cells in predefined collagen layer patterns confirmed that the semi-automated RIFLE system was able to assemble separate cell populations in cell-width layers (≈14 µ m). Semi-automated dosing reduced the manual operations in the RIFLE process, reducing the workload on researchers and minimising the opportunity for human error. Further opportunity exists for higher levels of automation in the overall process, particularly needed in the preparation of cell-hydrogel suspensions, a common manual labour-intensive process in many biofabrication technologies.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100256"},"PeriodicalIF":2.5,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143484656","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Enhanced construction of a bivalent adenovirus-based vaccine for preventing childhood pathogens: Human respiratory syncytial virus and norovirus

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-02-12 DOI: 10.1016/j.slast.2025.100255

Ying-Chin Chen , Nai-Hsiang Chung , Yu-Ching Lin , Shu-Ling Yu , Chia-Chyi Liu , Yen-Hung Chow

To impede the spread of respiratory syncytial virus (RSV) and norovirus (NoV) in children, we developed novel recombinant adenoviruses expressing RSV fusion (F) and NoV VP1 proteins driven by different promoter elements (EF1α, SV40, and CMV), resulting in Ad-F/E/NoV, Ad-F/S/NoV, and Ad-F/C/NoV, respectively. The expressed F can be recognized by postfusion-specific antibody targeting to site II and prefusion-specific antibodies targeting to sites V and Ø in the Ad-F-infected cells. However, NoV VP1 is only expressed in Ad-F/E/NoV and Ad-F/C/NoV-infected cells. Intraperitoneal two-dose with monovalent Ad-F and all three bicistronic Ads individually in rodents induced anti-F neutralizing antibodies similarly. Ad-F/C/NoV and Ad-F/E/NoV but not Ad-F/S/NoV significantly induced NoV VP1-specific IgG. The serum from Ad-F/C/NoV-immunized subjects elicited superior anti-NoV activity, as evidenced by reduced binding of NoV VLPs to histo-blood group antigens. Ad-F/C/NoV and Ad-F/E/NoV-immunized mice exhibited elevated cellular immune-mediated splenic IFN-γ and IL-4 secretions. In the RSV challenge study, pulmonary virions were significantly decreased during the vaccination with each of the three bicistronic Ads, confirming their efficacy in preventing RSV infection. Finally, the mucosal (intranasal) immunization in mice with Ad-F/C/NoV induced superior anti-RSV and NoV IgA in both serum and vaginal washes specific to RSV and NoV were highly induced. These findings highlight the optimization of an Ad vaccine targeting two pathogens prevalent in childhood. Additionally, the results underscore the utility of mucosal delivery of Ad vaccines as a valuable strategy for public vaccination efforts.

{"title":"Enhanced construction of a bivalent adenovirus-based vaccine for preventing childhood pathogens: Human respiratory syncytial virus and norovirus","authors":"Ying-Chin Chen , Nai-Hsiang Chung , Yu-Ching Lin , Shu-Ling Yu , Chia-Chyi Liu , Yen-Hung Chow","doi":"10.1016/j.slast.2025.100255","DOIUrl":"10.1016/j.slast.2025.100255","url":null,"abstract":"<div><div>To impede the spread of respiratory syncytial virus (RSV) and norovirus (NoV) in children, we developed novel recombinant adenoviruses expressing RSV fusion (F) and NoV VP1 proteins driven by different promoter elements (EF1α, SV40, and CMV), resulting in Ad-F/E/NoV, Ad-F/S/NoV, and Ad-F/C/NoV, respectively. The expressed F can be recognized by postfusion-specific antibody targeting to site II and prefusion-specific antibodies targeting to sites V and Ø in the Ad-F-infected cells. However, NoV VP1 is only expressed in Ad-F/E/NoV and Ad-F/C/NoV-infected cells. Intraperitoneal two-dose with monovalent Ad-F and all three bicistronic Ads individually in rodents induced anti-F neutralizing antibodies similarly. Ad-F/C/NoV and Ad-F/E/NoV but not Ad-F/S/NoV significantly induced NoV VP1-specific IgG. The serum from Ad-F/C/NoV-immunized subjects elicited superior anti-NoV activity, as evidenced by reduced binding of NoV VLPs to histo-blood group antigens. Ad-F/C/NoV and Ad-F/E/NoV-immunized mice exhibited elevated cellular immune-mediated splenic IFN-γ and IL-4 secretions. In the RSV challenge study, pulmonary virions were significantly decreased during the vaccination with each of the three bicistronic Ads, confirming their efficacy in preventing RSV infection. Finally, the mucosal (intranasal) immunization in mice with Ad-F/C/NoV induced superior anti-RSV and NoV IgA in both serum and vaginal washes specific to RSV and NoV were highly induced. These findings highlight the optimization of an Ad vaccine targeting two pathogens prevalent in childhood. Additionally, the results underscore the utility of mucosal delivery of Ad vaccines as a valuable strategy for public vaccination efforts.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"31 ","pages":"Article 100255"},"PeriodicalIF":2.5,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143419191","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Towards robotic Laboratory Automation Plug & Play: LAPP reference implementation with the TIAGo mobile manipulator

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-02-06 DOI: 10.1016/j.slast.2025.100251

Panna Zsoldos , Ádám Wolf , Károly Széll , Péter Galambos

Laboratory automation with mobile manipulators presents a promising avenue for enhancing efficiency and reducing the dependency on human activity in laboratory workflows. To achieve seamless integration, the Laboratory Automation Plag & Play concept has been introduced. This study presents an experimental implementation of the LAPP concept through the development of labware transfer functionality for a mobile manipulator employing the SiLA and ROS frameworks as widely accepted control layers. While validating the feasibility of the LAPP concept, this reference implementation accentuates the need for advancements in both hardware and software environments to fully capitalize on its benefits in contemporary laboratory settings.

引用次数: 0

Systemic trafficking of macrophages in implant wear debris-induced periprosthetic osteolysis

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-02-04 DOI: 10.1016/j.slast.2025.100254

Mengyun Lou

Periprosthetic osteolysis (PPOL) is a significant complication post-joint replacement, often instigated by implant wear debris, leading to chronic inflammation and bone resorption. Herein, this review summarizes the immune mechanisms of PPOL, specifically, the processes where macrophages are recruited by implant wear debris, the mechanisms by which macrophages trigger inflammatory cascades, and the role of chemokines that facilitate macrophage migration, including CCL2, CCL3, CCL4, CCL5, CXCL8, CX3CL1, and XCL1. This review highlights novel findings on these processes and suggests that illustrating these mechanisms offers promising avenues for future therapeutic strategies to prevent and treat PPOL, such as the potential use of anti-inflammatory drugs.

引用次数: 0

Life Sciences discovery and technology highlights 生命科学发现和技术亮点。

IF 2.5 4区医学 Q3 BIOCHEMICAL RESEARCH METHODS

SLAS Technology

Pub Date : 2025-02-01 DOI: 10.1016/j.slast.2024.100235

Tal Murthy , Jamien Lim

引用次数: 0

下一页尾页

类型

全部化学•材料生命科学医学物理工程技术环境•农林材料科学地球科学法学管理学化学环境科学与生态学计算机科学教育学经济学农林科学人文科学生物学数学物理与天体物理心理学综合性期刊其他工业工程理学历史学农学文学信息工程

数据库

全部 ACS Publications Elsevier ieeexplore Springer The Royal Society of Chemistry Wiley

期刊

SLAS Technology

全部 Acc. Chem. Res. ACS Applied Bio Materials ACS Appl. Electron. Mater. ACS Appl. Energy Mater. ACS Appl. Mater. Interfaces ACS Appl. Nano Mater. ACS Appl. Polym. Mater. ACS BIOMATER-SCI ENG ACS Catal. ACS Cent. Sci. ACS Chem. Biol. ACS Chemical Health & Safety ACS Chem. Neurosci. ACS Comb. Sci. ACS Earth Space Chem. ACS Energy Lett. ACS Infect. Dis. ACS Macro Lett. ACS Mater. Lett. ACS Med. Chem. Lett. ACS Nano ACS Omega ACS Photonics ACS Sens. ACS Sustainable Chem. Eng. ACS Synth. Biol. Anal. Chem. BIOCHEMISTRY-US Bioconjugate Chem. BIOMACROMOLECULES Chem. Res. Toxicol. Chem. Rev. Chem. Mater. CRYST GROWTH DES ENERG FUEL Environ. Sci. Technol. Environ. Sci. Technol. Lett. Eur. J. Inorg. Chem. IND ENG CHEM RES Inorg. Chem. J. Agric. Food. Chem. J. Chem. Eng. Data J. Chem. Educ. J. Chem. Inf. Model. J. Chem. Theory Comput. J. Med. Chem. J. Nat. Prod. J PROTEOME RES J. Am. Chem. Soc. LANGMUIR MACROMOLECULES Mol. Pharmaceutics Nano Lett. Org. Lett. ORG PROCESS RES DEV ORGANOMETALLICS J. Org. Chem. J. Phys. Chem. J. Phys. Chem. A J. Phys. Chem. B J. Phys. Chem. C J. Phys. Chem. Lett. Analyst Anal. Methods Biomater. Sci. Catal. Sci. Technol. Chem. Commun. Chem. Soc. Rev. CHEM EDUC RES PRACT CRYSTENGCOMM Dalton Trans. Energy Environ. Sci. ENVIRON SCI-NANO ENVIRON SCI-PROC IMP ENVIRON SCI-WAT RES Faraday Discuss. Food Funct. Green Chem. Inorg. Chem. Front. Integr. Biol. J. Anal. At. Spectrom. J. Mater. Chem. A J. Mater. Chem. B J. Mater. Chem. C Lab Chip Mater. Chem. Front. Mater. Horiz. MEDCHEMCOMM Metallomics Mol. Biosyst. Mol. Syst. Des. Eng. Nanoscale Nanoscale Horiz. Nat. Prod. Rep. New J. Chem. Org. Biomol. Chem. Org. Chem. Front. PHOTOCH PHOTOBIO SCI PCCP Polym. Chem.

﹀