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Automated endpoint titer ELISAs for high-throughput immunogenicity evaluations using a BioMek i7 liquid handler 使用BioMek i7液体处理器进行高通量免疫原性评估的自动终点滴度elisa。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-12-01 DOI: 10.1016/j.slast.2025.100368
Barbara Theriot , Andrew N. Macintyre
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引用次数: 0
Single cell and multi omics dissection of periodontal ligament cells identifies regulatory networks and therapeutic targets in skeletal class II malocclusion 牙周韧带细胞单细胞和多组学解剖鉴定骨骼ⅱ类错颌畸形的调节网络和治疗靶点。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-11-29 DOI: 10.1016/j.slast.2025.100372
Yirui Niu , Quan Dai , Min Li
Skeletal Class II malocclusion is a common dentofacial deformity often associated with dysregulation in the growth and remodeling of periodontal tissues. Understanding the cellular heterogeneity and molecular pathways of periodontal ligament (PDL) cells is crucial for identifying novel therapeutic targets. However, traditional bulk sequencing methods lack the resolution to distinguish cell-type-specific gene expression and epigenetic regulation, limiting insights into the pathogenesis of this condition. To address these limitations, we propose an integrated framework utilizing 5200 high-quality PDL Single-Cell RNA combined with Assay for Transposase-Accessible Chromatin using sequencing (scRNA-ATAC-seq) to perform a multi-omics dissection of PDL cells in Class II malocclusion. This approach enables the simultaneous profiling of transcriptomic and chromatin accessibility landscapes at single-cell resolution, uncovering cell-specific regulatory networks. Using this scRNA-ATAC-seq method, we successfully identified 12 distinct PDL cell subpopulations and revealed key transcription factors and signaling pathways involved in aberrant skeletal development. Data integration achieved a 0.94 accuracy score, enabling confident regulatory mapping. The findings provide critical insights into the gene regulatory architecture underlying Class II malocclusion and highlight potential cell-specific therapeutic targets for clinical intervention.
骨骼II类错牙合是一种常见的牙面畸形,通常与牙周组织生长和重塑的失调有关。了解牙周韧带(PDL)细胞的细胞异质性和分子通路对于确定新的治疗靶点至关重要。然而,传统的批量测序方法缺乏区分细胞类型特异性基因表达和表观遗传调控的分辨率,限制了对这种疾病发病机制的了解。为了解决这些限制,我们提出了一个综合框架,利用5200个高质量的PDL单细胞RNA结合转座酶可及染色质测序(scRNA-ATAC-seq)对II类错颌错的PDL细胞进行多组学解剖。这种方法能够在单细胞分辨率下同时分析转录组学和染色质可及性景观,揭示细胞特异性调节网络。使用scRNA-ATAC-seq方法,我们成功鉴定了12个不同的PDL细胞亚群,并揭示了参与异常骨骼发育的关键转录因子和信号通路。数据集成的准确率达到了0.94分,实现了自信的监管映射。这些发现为II类错颌畸形的基因调控结构提供了重要的见解,并强调了临床干预的潜在细胞特异性治疗靶点。
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引用次数: 0
Life sciences and accountability. 生命科学与责任。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-11-25 DOI: 10.1016/j.slast.2025.100369
Kerstin Thurow
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引用次数: 0
Life sciences and anxiety - Between enlightenment and uncertainty. 生命科学与焦虑——在启蒙与不确定性之间。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-11-14 DOI: 10.1016/j.slast.2025.100366
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引用次数: 0
Technology-enabled integration of single-cell transcriptomics and microbiome data identifies RNA-targetable host-microbiota networks in colorectal adenoma 技术支持的单细胞转录组学和微生物组数据整合鉴定结直肠腺瘤中rna靶向宿主-微生物群网络。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-11-13 DOI: 10.1016/j.slast.2025.100365
Boyang Ma , Haiyan Hu , Yu Lin , Zhiheng Wang , Qingyu Song
Although mechanism-to-intervention processes are becoming possible because to the convergence of single-cell technologies with RNA treatment methods, combined host-microbiome analysis with systematic target identification for colorectal adenoma is still fragmented. Here, we created a repeatable computational pipeline that combines MaAsLin2 for host-microbiome association modeling, QIIME2/DADA2 for microbiome processing, and Seurat/Harmony for single-cell analysis. Under strict statistical control (FDR < 0.05), three single-cell RNA sequencing datasets (GSE117875, GSE178341, and GSE144735; totaling 426,425 cells) were combined with parallel microbiome datasets (PRJNA397906, PRJNA541510, and PRJNA672605; 975 samples). In adenoma-associated microbiomes, we measured a 26.8 % decrease in Shannon diversity (4.21→3.08), with a notable enrichment of Fusobacterium nucleatum and a depletion of Faecalibacterium prausnitzii. Immune activation patterns, goblet cell malfunction (MUC2 2.4-fold drop), and stem cell expansion (LGR5 3.2-fold increase) were all identified by single-cell analysis. 847 significant host-microbiome interactions were found by integration analysis, and F. nucleatum showed a substantial correlation with markers of inflammatory signaling (NFKB1: β=0.64, FDR<0.001) and stem cell proliferation (LGR5: β=0.72, FDR<0.001). 25 RNA-targetable candidates were identified by systematic prioritizing, including mRNA restoration targets (MUC2, FOXP3) and ASO/siRNA suppression targets (NFKB1, IL1B). By converting host-microbiome interaction networks into systematic RNA therapeutic options, this technology framework creates a template for the translation of transcriptomics into therapeutics and offers a repeatable pipeline for the creation of precision interventions in colorectal disease.
尽管由于单细胞技术与RNA治疗方法的融合,机制到干预的过程正在成为可能,但将宿主-微生物组分析与结直肠腺瘤的系统靶点识别相结合仍然是碎片化的。在这里,我们创建了一个可重复的计算管道,将MaAsLin2用于宿主-微生物组关联建模,QIIME2/DADA2用于微生物组处理,Seurat/Harmony用于单细胞分析。在严格的统计控制(FDR < 0.05)下,将3个单细胞RNA测序数据集(GSE117875、GSE178341和GSE144735,共426,425个细胞)与平行微生物组数据集(PRJNA397906、PRJNA541510和PRJNA672605, 975个样本)进行组合。在腺瘤相关微生物组中,Shannon多样性下降了26.8%(4.21→3.08),其中核梭杆菌显著富集,prausnitzii粪杆菌明显减少。免疫激活模式、杯状细胞功能障碍(MUC2下降2.4倍)和干细胞扩增(LGR5增加3.2倍)均通过单细胞分析确定。整合分析发现了847个显著的宿主-微生物组相互作用,核核F. nucleatum与炎症信号标志物(NFKB1: β=0.64, FDR)存在显著相关性
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引用次数: 0
Literature highlights column: From the literature: Life Sciences Discovery and Technology Highlights. 文献亮点栏目:来自文献:生命科学发现与技术亮点。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-11-12 DOI: 10.1016/j.slast.2025.100364
Jamien Lim, Tal Murthy
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引用次数: 0
Nanomedicine for prostate cancer: Modern therapies based on green synthesis of nanoparticles 前列腺癌的纳米医学:基于纳米颗粒绿色合成的现代疗法。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-11-06 DOI: 10.1016/j.slast.2025.100362
Mohammad Aatif , Mohamed S. AboHoussien , Ahmed T. Elhendawy , Ghazala Muteeb , Eduardo L. Fabella , Doaa S.R. Khafaga
Prostate cancer remains one of the leading causes of cancer-related illness and death in men globally. Despite advancements in diagnostics and traditional therapies, significant challenges such as drug resistance, systemic toxicity, and restricted specificity persist in impeding successful management. In recent years, nanotechnology has emerged as a revolutionary method in cancer treatment, offering targeted drug delivery, enhanced bioavailability, and reduced off-target side effects. Eco-friendly or green-synthesized nanomaterials have gained significant attention due to their biocompatibility, sustainability, and reduced environmental impact. This review delineates the present state of prostate cancer treatment and the constraints of traditional pharmacological approaches. We subsequently investigate the burgeoning role of nanomedicine in addressing these difficulties, focusing specifically on eco-friendly nanomaterials synthesized from plant extracts, microbial systems, and natural polymers. These biosynthesized nanoparticles (NPs) provide dual benefits: medicinal effectiveness and diminished environmental impact, consistent with the tenets of green chemistry and sustainable medicine. Additionally, we examine diverse drug delivery systems employing green NPs for prostate cancer, including liposomes, polymeric NPs, and metal-based systems synthesized through environmentally friendly methods. Recent in vitro and in vivo research is rigorously examined to assess the clinical potential of these methodologies. The review identifies significant translational hurdles, such as large-scale repeatability, regulatory constraints, and stability concerns, while proposing potential future approaches to enhance the therapeutic application of eco-friendly nanomedicine in prostate cancer treatment.
前列腺癌仍然是全球男性癌症相关疾病和死亡的主要原因之一。尽管诊断和传统治疗方法取得了进步,但诸如耐药性、全身毒性和限制性特异性等重大挑战仍然阻碍着成功的治疗。近年来,纳米技术已成为癌症治疗的一种革命性方法,提供靶向药物输送,提高生物利用度,减少脱靶副作用。生态友好型或绿色合成的纳米材料因其生物相容性、可持续性和减少对环境的影响而受到广泛关注。本文综述了前列腺癌治疗的现状和传统药理学方法的局限性。我们随后研究了纳米医学在解决这些困难方面的新兴作用,特别关注从植物提取物、微生物系统和天然聚合物合成的环保纳米材料。这些生物合成纳米颗粒(NPs)提供了双重好处:药物有效性和减少对环境的影响,符合绿色化学和可持续医学的原则。此外,我们研究了多种采用绿色NPs治疗前列腺癌的药物输送系统,包括脂质体、聚合物NPs和通过环保方法合成的金属基系统。最近的体外和体内研究经过严格检查,以评估这些方法的临床潜力。这篇综述指出了重大的转化障碍,如大规模的可重复性、监管限制和稳定性问题,同时提出了潜在的未来方法来加强生态友好型纳米药物在前列腺癌治疗中的治疗应用。
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引用次数: 0
Integrated multi-omics identifies GZMA targeting NK cells as a novel therapeutic strategy for hidradenitis suppurativa 整合多组学鉴定GZMA靶向NK细胞作为化脓性汗腺炎的新治疗策略。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-11-03 DOI: 10.1016/j.slast.2025.100363
Jizhao Yao , Mingfeng Ye , Taosheng Miao , Lusheng Miao

Background

Hidradenitis suppurativa (HS) represents a prevalent inflammatory dermatosis that not only triggers persistent local inflammation but also imposes significant psychosocial burdens. Given that the pathogenesis of HS remains incompletely elucidated, there is an urgent need necessitating the development of precision intervention strategies grounded in patients' immune profiles.

Methods

To investigate the pathogenesis of hidradenitis suppurativa, we employed an integrative approach combining bulk transcriptomics, Mendelian randomization (MR), and single-cell transcriptomic profiling. Specifically, transcriptomic analysis utilized Weighted Gene Co-Expression Network Analysis(WGCNA) for co-expression network construction and Least Absolute Shrinkage and Selection Operator(LASSO) regression for feature selection. Mendelian randomization applied IVW, weighted median, simple mode, weighted mode, and Bayesian MR approaches to ensure robust causal inference, with mediation analysis identifying potential metabolites. Molecular docking simulations were conducted to validate drug candidates targeting core genes. For single-cell transcriptomic analysis, we leveraged Gene Expression Omnibus(GEO) datasets followed by dispersion reduction, clustering, and cell-cell communication analysis to elucidate underlying cellular mechanisms.

Result

Our transcriptomic analysis identified Granzyme A(GZMA) as a central therapeutic target (Discovery cohort ROC: 0.945; Validation cohort ROC: 0.819). Furthermore, Mendelian randomization analysis indicated a heightened causal association between GZMA and HS risk: IVW (OR = 1.62, 95 %CI:1.24–2.11; p = 0.0003) and BWMR (OR = 1.62, 95 %CI:1.26–2.08; p = 0.0002). Critically,​mediation analysis established N-Acetylputrescine as a potential mediating metabolite. Shifting to the cellular level, single-cell sequencing revealed prominent GZMA expression specifically within NK cells. Analysis of cell-cell interactions revealed communication between NK cells and both T cells and B cells, and highlighted differences in the communication dynamics between GZMA-positive and GZMA-negative subpopulations.

Conclusion

Integrative analysis of transcriptomic, MR, and scRNA-seq data strongly implicates GZMA as a potential therapeutic target and highlights the crucial role of NK cells in HS pathogenesis. These findings provide novel insights into HS immunopathology and pave the way for targeted therapeutic development.
背景:化脓性汗腺炎(HS)是一种常见的炎症性皮肤病,不仅会引发持续的局部炎症,还会造成严重的社会心理负担。鉴于HS的发病机制仍未完全阐明,迫切需要发展基于患者免疫谱的精确干预策略。方法:为了研究化脓性汗腺炎的发病机制,我们采用了一种综合方法,结合大量转录组学、孟德尔随机化(MR)和单细胞转录组学分析。具体而言,转录组学分析使用加权基因共表达网络分析(WGCNA)构建共表达网络,使用最小绝对收缩和选择算子(LASSO)回归进行特征选择。孟德尔随机化应用IVW、加权中位数、简单模式、加权模式和贝叶斯MR方法来确保稳健的因果推断,并通过中介分析确定潜在的代谢物。通过分子对接模拟来验证靶向核心基因的候选药物。对于单细胞转录组学分析,我们利用基因表达综合(GEO)数据集,随后进行分散减少、聚类和细胞-细胞通信分析,以阐明潜在的细胞机制。结果:我们的转录组学分析确定颗粒酶A(GZMA)为中心治疗靶点(发现队列ROC: 0.945;验证队列ROC: 0.819)。此外,孟德尔随机化分析表明,GZMA与HS风险之间的因果关系较高:IVW (OR=1.62, 95%CI:1.24-2.11; p=0.0003)和BWMR (OR=1.62, 95%CI:1.26-2.08; p=0.0002)。重要的是,中介分析确定n -乙酰腐胺是潜在的中介代谢物。转移到细胞水平,单细胞测序显示GZMA在NK细胞中特异性表达。细胞间相互作用的分析揭示了NK细胞与T细胞和B细胞之间的通信,并强调了gzma阳性和gzma阴性亚群之间通信动力学的差异。结论:转录组学、MR和scRNA-seq数据的综合分析强烈暗示GZMA是一个潜在的治疗靶点,并强调了NK细胞在HS发病机制中的关键作用。这些发现为HS免疫病理学提供了新的见解,并为靶向治疗开发铺平了道路。
{"title":"Integrated multi-omics identifies GZMA targeting NK cells as a novel therapeutic strategy for hidradenitis suppurativa","authors":"Jizhao Yao ,&nbsp;Mingfeng Ye ,&nbsp;Taosheng Miao ,&nbsp;Lusheng Miao","doi":"10.1016/j.slast.2025.100363","DOIUrl":"10.1016/j.slast.2025.100363","url":null,"abstract":"<div><h3>Background</h3><div>Hidradenitis suppurativa (HS) represents a prevalent inflammatory dermatosis that not only triggers persistent local inflammation but also imposes significant psychosocial burdens. Given that the pathogenesis of HS remains incompletely elucidated, there is an urgent need necessitating the development of precision intervention strategies grounded in patients' immune profiles.</div></div><div><h3>Methods</h3><div>To investigate the pathogenesis of hidradenitis suppurativa, we employed an integrative approach combining bulk transcriptomics, Mendelian randomization (MR), and single-cell transcriptomic profiling. Specifically, transcriptomic analysis utilized Weighted Gene Co-Expression Network Analysis(WGCNA) for co-expression network construction and Least Absolute Shrinkage and Selection Operator(LASSO) regression for feature selection. Mendelian randomization applied IVW, weighted median, simple mode, weighted mode, and Bayesian MR approaches to ensure robust causal inference, with mediation analysis identifying potential metabolites. Molecular docking simulations were conducted to validate drug candidates targeting core genes. For single-cell transcriptomic analysis, we leveraged Gene Expression Omnibus(GEO) datasets followed by dispersion reduction, clustering, and cell-cell communication analysis to elucidate underlying cellular mechanisms.</div></div><div><h3>Result</h3><div>Our transcriptomic analysis identified Granzyme A(GZMA) as a central therapeutic target (Discovery cohort ROC: 0.945; Validation cohort ROC: 0.819). Furthermore, Mendelian randomization analysis indicated a heightened causal association between GZMA and HS risk: IVW (OR = 1.62, 95 %CI:1.24–2.11; <em>p</em> = 0.0003) and BWMR (OR = 1.62, 95 %CI:1.26–2.08; <em>p</em> = 0.0002). Critically,​mediation analysis established N-Acetylputrescine as a potential mediating metabolite. Shifting to the cellular level, single-cell sequencing revealed prominent GZMA expression specifically within NK cells. Analysis of cell-cell interactions revealed communication between NK cells and both T cells and B cells, and highlighted differences in the communication dynamics between GZMA-positive and GZMA-negative subpopulations.</div></div><div><h3>Conclusion</h3><div>Integrative analysis of transcriptomic, MR, and scRNA-seq data strongly implicates GZMA as a potential therapeutic target and highlights the crucial role of NK cells in HS pathogenesis. These findings provide novel insights into HS immunopathology and pave the way for targeted therapeutic development.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100363"},"PeriodicalIF":3.7,"publicationDate":"2025-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145454025","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
Digital transformation of a real-life R&D process using a structured approach based on the Internet of Things 使用基于物联网的结构化方法对现实生活中的研发过程进行数字化转型。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-30 DOI: 10.1016/j.slast.2025.100359
Mickey Hawelitschek , Felix Lenk , Florian-David Lange , Peter Schmidt , Constantin Rahm , Thomas Walther
In an era of increasingly stringent regulatory requirements and growing demands on laboratories in terms of data quality, integrity and reproducibility, combined with increasing sample throughput, digitization of the laboratory environment is an important tool to meet these growing demands. Unfortunately, many challenges stand in the way. Not only are these barriers difficult to overcome, but they also cut across the different professions that are essential to any digitization effort. For most laboratories, however, the simple question remains: How to transform an existing laboratory? This article proposes a structured method to realize the SmartLab and to verify its feasibility in practice, using a real R&D process. Consequently, on a qualitative level, not only has data integrity and sample traceability been enhanced, but standardization has also been increased. Quantitatively, the walk-away time was tripled and the efficiency of individual process steps was increased by over 20%. The project’s success can be attributed to the implementation of a systematic methodology for digital transformation, which functioned as a comprehensive guide, facilitating the execution of the project in a step-by-step manner.
在监管要求日益严格,对实验室在数据质量、完整性和可重复性方面的要求越来越高的时代,结合不断增加的样品吞吐量,实验室环境的数字化是满足这些日益增长的需求的重要工具。不幸的是,这条路上有许多挑战。这些障碍不仅难以克服,而且还跨越了对任何数字化努力都至关重要的不同职业。然而,对于大多数实验室来说,仍然存在一个简单的问题:如何改造现有的实验室?本文提出了一种结构化的方法来实现SmartLab,并通过一个真实的研发过程来验证其在实践中的可行性。因此,在质量层面上,不仅数据的完整性和样本的可追溯性得到了提高,而且标准化也得到了提高。从数量上讲,离开时间增加了三倍,单个工艺步骤的效率提高了20%以上。该项目的成功可归功于数字化转型的系统方法的实施,该方法作为全面的指南,以循序渐进的方式促进了项目的执行。
{"title":"Digital transformation of a real-life R&D process using a structured approach based on the Internet of Things","authors":"Mickey Hawelitschek ,&nbsp;Felix Lenk ,&nbsp;Florian-David Lange ,&nbsp;Peter Schmidt ,&nbsp;Constantin Rahm ,&nbsp;Thomas Walther","doi":"10.1016/j.slast.2025.100359","DOIUrl":"10.1016/j.slast.2025.100359","url":null,"abstract":"<div><div>In an era of increasingly stringent regulatory requirements and growing demands on laboratories in terms of data quality, integrity and reproducibility, combined with increasing sample throughput, digitization of the laboratory environment is an important tool to meet these growing demands. Unfortunately, many challenges stand in the way. Not only are these barriers difficult to overcome, but they also cut across the different professions that are essential to any digitization effort. For most laboratories, however, the simple question remains: How to transform an existing laboratory? This article proposes a structured method to realize the SmartLab and to verify its feasibility in practice, using a real R&amp;D process. Consequently, on a qualitative level, not only has data integrity and sample traceability been enhanced, but standardization has also been increased. Quantitatively, the walk-away time was tripled and the efficiency of individual process steps was increased by over 20%. The project’s success can be attributed to the implementation of a systematic methodology for digital transformation, which functioned as a comprehensive guide, facilitating the execution of the project in a step-by-step manner.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100359"},"PeriodicalIF":3.7,"publicationDate":"2025-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145427173","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
Development and validation of a multimodal machine learning model integrating ultrasound imaging and serum biomarkers for vulnerable carotid plaque prediction 基于超声成像和血清生物标志物的多模态机器学习模型用于颈动脉易损斑块预测的开发和验证。
IF 3.7 4区 医学 Q3 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-29 DOI: 10.1016/j.slast.2025.100361
Ping Wei , Yuanyuan Yang , Yanhong Yan , Chunhong Wei , Pinjing Hui

Objective

To establish and validate the radiomics model of carotid vulnerable plaque.

Methods

182 patients who underwent carotid endarterectomy in the First Affiliated Hospital of Soochow University from January 2019 to June 2022 were retrospectively analyzed. Plaque ultrasound images were acquired and segmented, and features were extracted using the R package “EBImage”. Six machine learning algorithms were used to construct a plaque vulnerability classifier model. The relationship between clinical biomarkers and outcomes was evaluated using linear regression and the False Discovery Rate (FDR) correction method.

Results

Diabetes, neutrophils, monocytes, high-sensitivity C-reactive protein, high-density lipoprotein, and stenosis rate were found to have a strong association with plaque vulnerability. The Naive Bayes algorithm performed well in the training set using image features alone, with an AUC of 0.840, and an AUC of 0.762 in the test set. The Decision Tree algorithm had certain performance in the training set using image features alone, with an AUC of 0.609, and an AUC of 0.626 in the test set. The Naive Bayes algorithm achieved excellent performance in the training set using both plaque ultrasound imaging features and clinical laboratory indicators, with an AUC of 0.922, and an AUC of 0.928 in the test set.

Conclusion

The above radiomics model can be used to predict the vulnerable carotid plaque before surgery. By combining plaque ultrasound imaging with clinical blood biomarkers, a more comprehensive and accurate assessment of plaque vulnerability can be achieved, thereby reducing the risk of cardiovascular events.
目的:建立并验证颈动脉易损斑块的放射组学模型。方法:对2019年1月至2022年6月在苏州大学第一附属医院行颈动脉内膜切除术的182例患者进行回顾性分析。获取斑块超声图像并进行分割,使用R软件包“EBImage”提取特征。采用6种机器学习算法构建斑块漏洞分类器模型。使用线性回归和错误发现率(FDR)校正方法评估临床生物标志物与结果之间的关系。结果:糖尿病、中性粒细胞、单核细胞、高敏c反应蛋白、高密度脂蛋白、狭窄率与斑块易损性密切相关。朴素贝叶斯算法在单独使用图像特征的训练集中表现良好,AUC为0.840,在测试集中AUC为0.762。决策树算法在单独使用图像特征的训练集中有一定的性能,AUC为0.609,在测试集中AUC为0.626。朴素贝叶斯算法在结合斑块超声成像特征和临床实验室指标的训练集中均取得了优异的表现,AUC为0.922,在测试集中AUC为0.928。结论:上述放射组学模型可用于术前易损颈动脉斑块的预测。将斑块超声成像与临床血液生物标志物相结合,可以更全面、准确地评估斑块易感性,从而降低心血管事件的发生风险。
{"title":"Development and validation of a multimodal machine learning model integrating ultrasound imaging and serum biomarkers for vulnerable carotid plaque prediction","authors":"Ping Wei ,&nbsp;Yuanyuan Yang ,&nbsp;Yanhong Yan ,&nbsp;Chunhong Wei ,&nbsp;Pinjing Hui","doi":"10.1016/j.slast.2025.100361","DOIUrl":"10.1016/j.slast.2025.100361","url":null,"abstract":"<div><h3>Objective</h3><div>To establish and validate the radiomics model of carotid vulnerable plaque.</div></div><div><h3>Methods</h3><div>182 patients who underwent carotid endarterectomy in the First Affiliated Hospital of Soochow University from January 2019 to June 2022 were retrospectively analyzed. Plaque ultrasound images were acquired and segmented, and features were extracted using the R package “EBImage”. Six machine learning algorithms were used to construct a plaque vulnerability classifier model. The relationship between clinical biomarkers and outcomes was evaluated using linear regression and the False Discovery Rate (FDR) correction method.</div></div><div><h3>Results</h3><div>Diabetes, neutrophils, monocytes, high-sensitivity C-reactive protein, high-density lipoprotein, and stenosis rate were found to have a strong association with plaque vulnerability. The Naive Bayes algorithm performed well in the training set using image features alone, with an AUC of 0.840, and an AUC of 0.762 in the test set. The Decision Tree algorithm had certain performance in the training set using image features alone, with an AUC of 0.609, and an AUC of 0.626 in the test set. The Naive Bayes algorithm achieved excellent performance in the training set using both plaque ultrasound imaging features and clinical laboratory indicators, with an AUC of 0.922, and an AUC of 0.928 in the test set.</div></div><div><h3>Conclusion</h3><div>The above radiomics model can be used to predict the vulnerable carotid plaque before surgery. By combining plaque ultrasound imaging with clinical blood biomarkers, a more comprehensive and accurate assessment of plaque vulnerability can be achieved, thereby reducing the risk of cardiovascular events.</div></div>","PeriodicalId":54248,"journal":{"name":"SLAS Technology","volume":"35 ","pages":"Article 100361"},"PeriodicalIF":3.7,"publicationDate":"2025-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145423446","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
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SLAS Technology
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