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Quantitative proteomics identifies conserved proteins and altered regulation of mucin-16 in low grade serous ovarian cancers. 定量蛋白质组学鉴定了低级别浆液性卵巢癌中保守蛋白和mucin-16调控的改变。
IF 3.3 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-10-06 DOI: 10.1186/s12014-025-09557-1
Christopher M Tarney, Paulette Mhawech-Fauceglia, Jonathan D Ogata, Julie Oliver, Tamara Abulez, Philip A Branton, Saeid Movahedi-Lankarani, Brian L Hood, Kelly A Conrads, Kendal Rosalik, Kwong-Kwok Wong, David M Gershenson, Sanghoon Lee, Anil K Sood, Robert C Bast, Kathleen M Darcy, Neil T Phippen, G Larry Maxwell, Thomas P Conrads, Nicholas W Bateman

Background: Low-grade serous ovarian carcinoma (LGSOC) is a rare and largely chemoresistant subtype of epithelial ovarian cancer. Unlike treatment for high-grade serous ovarian cancer (HGSOC), management options for LGSOC patients are limited, in part, due to a lack of deep molecular characterization of this disease. To address this limitation, we aimed to define highly conserved proteome alterations in LGSOC by performing deep quantitative proteomic analysis of tumors collected from LGSOC and HGSOC patients or normal fallopian tube tissues and validating proteins within two independent proteomic datasets of LGSOC and HGSOC tumors.

Methods: Formalin-fixed, paraffin-embedded LGSOC (n = 12), HGSOC (n = 24), and FT (n = 12) tissues underwent pressure-assisted trypsin digestion followed by quantitative proteomic analyses using a multiplex, tandem-mass tag (TMT11) workflow and high-resolution mass spectrometry. Proteome alterations between LGSOC and HGSOC tumors were validated against two independent proteome datasets generated from LGSOC (n = 25) and HGSOC (n = 49) tumors. Mucin-16 (MUC16/CA125) was assessed in LGSOC and HGSOC tumors by immunohistochemistry and reviewed by three independent pathologists.

Results: Our efforts identified 275 protein alterations conserved between LGSOC and HGSOC tumors that exhibit high quantitative correlation between discovery and validation cohorts (Spearman Rho ≥ 0.82, P < 1E-4). Conserved proteins elevated in LGSOC tumors were enriched for pathways regulating cell adhesion and defective cellular apoptosis signaling and candidates mapping as putative drug targets included 5'-nucleotidase/ cluster of differentiation 73 (NT5E/CD73). We also identified MUC16 (CA125) as significantly elevated in LGSOC versus HGSOC tumors and confirmed this by immunohistochemistry analysis. We further find that MUC16 exhibits a more apical versus membrane-staining pattern in LGSOC tumors, suggesting unique regulation of MUC16 in this disease subtype.

Conclusion: Our efforts define highly conserved protein alterations distinguishing LGSOC from HGSOC tumors, including CD73, as well as the novel identification that MUC16 is elevated and exhibits more apical staining pattern in LGSOC tumor tissues. These findings deepen our molecular understanding of LGSOC and provide unique insights into highly conserved proteome alterations in LGSOC tumors.

背景:低级别浆液性卵巢癌(LGSOC)是一种罕见且耐药的上皮性卵巢癌亚型。与高级别浆液性卵巢癌(HGSOC)的治疗不同,LGSOC患者的管理选择有限,部分原因是缺乏这种疾病的深层分子特征。为了解决这一限制,我们旨在通过对LGSOC和HGSOC患者或正常输卵管组织收集的肿瘤进行深度定量蛋白质组学分析,并在LGSOC和HGSOC肿瘤的两个独立蛋白质组学数据集中验证蛋白质,来定义LGSOC中高度保守的蛋白质组学改变。方法:用福尔马林固定、石蜡包埋的LGSOC (n = 12)、HGSOC (n = 24)和FT (n = 12)组织进行压力辅助胰蛋白酶消化,然后使用多重串联质量标签(TMT11)工作流程和高分辨率质谱进行定量蛋白质组学分析。根据从LGSOC (n = 25)和HGSOC (n = 49)肿瘤中生成的两个独立的蛋白质组数据集,验证了LGSOC和HGSOC肿瘤之间的蛋白质组变化。Mucin-16 (MUC16/CA125)在LGSOC和HGSOC肿瘤中的表达通过免疫组化评估,并由三位独立病理学家复习。结果:我们的研究确定了275个在LGSOC和HGSOC肿瘤之间保守的蛋白改变,这些改变在发现和验证队列之间表现出高度的定量相关性(Spearman Rho≥0.82,P)。结论:我们的研究确定了区分LGSOC和HGSOC肿瘤的高度保守的蛋白改变,包括CD73,以及MUC16在LGSOC肿瘤组织中升高并表现出更多的顶端染色模式。这些发现加深了我们对LGSOC的分子理解,并为LGSOC肿瘤中高度保守的蛋白质组改变提供了独特的见解。
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引用次数: 0
Proteomic profiles in the aqueous following anti-vegf therapy in treatment naïve neovascular age-related macular degeneration. 抗vegf治疗naïve新生血管性年龄相关性黄斑变性后水中蛋白质组学特征。
IF 3.3 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-09-01 DOI: 10.1186/s12014-025-09555-3
Anne M Lynch, Daniel W Drolet, Kinsey M Trinder, Shashi Gupta, Matthew J Westacott, Nebojsa Janjic, Alan G Palestine, Jennifer L Patnaik, Marc T Mathias, Naresh Mandava, Brandie D Wagner

Background/study objectives: Age-related macular degeneration (AMD), a degenerative disease of the photoreceptor support system of the macula, is a leading cause of vision loss in individuals over 60 years of age. In this exploratory longitudinal study, we studied VEGF-related proteins and other protein concentrations in the aqueous humor of patients with treatment naïve neovascular AMD (defined as patients with a previously untreated and recently diagnosed advanced neovascular form of AMD (NVAMD) who were eligible for an intra-vitreal administration of an anti-VEGF agent to treat choroidal neovascularization). The objectives of this small pilot study were: (1) To determine levels of VEGF-related proteins in the aqueous humor of treatment naïve NVAMD patients compared with control patients, (2) To determine whether levels of VEGF-related proteins change over time with anti-VEGF injections in NVAMD patients, (3) To put these differences into perspective relative to all protein targets and identify other off-target (non-VEGF) proteins that may be related to NVAMD or NVAMD treatment.

Methods: We used an aptamer-based proteomic technology to study protein concentrations. Cases had a sample of aqueous collected immediately prior to starting the anti-VEGF intra-vitreal injection and at two follow-up visits. Controls were cataract patients with no AMD. Aqueous was collected at the time of cataract surgery.

Results: Comparison between 9 cases and 11 controls revealed 56 proteins, out of 3,803 targets, with significant differences in baseline levels. After treatment, a decline in aqueous VEGF concentrations was indicated from two aptamer reagents, while a third recorded a significant increase. Interference studies demonstrated that the increase in levels observed for the latter reagent was due to measuring both drug-bound and free VEGF concentrations (total VEGF) while the others measured only free VEGF.

Conclusions: In this exploratory study, 56 proteins were identified that could potentially be linked with NVAMD. In interference studies free aqueous VEGF levels declined while total VEGF levels increased following anti-VEGF treatment. No large off-target effects on the proteome were observed with treatment. We illustrate how the protein interactome can mask or potentially unmask binding epitopes leading to signal changes not necessarily related to the absolute protein level.

背景/研究目的:老年性黄斑变性(AMD)是黄斑光感受器支持系统的退行性疾病,是60岁以上人群视力丧失的主要原因。在这项探索性纵向研究中,我们研究了naïve新生血管性AMD治疗患者房水中vegf相关蛋白和其他蛋白浓度(定义为先前未治疗且最近诊断为晚期新生血管性AMD (NVAMD)的患者,符合玻璃体内给药抗vegf药物治疗脉络膜新生血管的条件)。这项小型试点研究的目的是:(1)确定治疗naïve NVAMD患者与对照组患者房水中vegf相关蛋白的水平,(2)确定NVAMD患者注射抗vegf后vegf相关蛋白水平是否随时间变化,(3)将这些差异与所有蛋白靶点相比较,并确定可能与NVAMD或NVAMD治疗相关的其他脱靶(非vegf)蛋白。方法:采用适体蛋白质组学技术研究蛋白质浓度。病例在开始抗vegf玻璃体注射前和两次随访时立即收集水样。对照组为无黄斑变性的白内障患者。白内障手术时收集水。结果:9例患者与11例对照组的比较显示,在3,803个靶点中,有56个蛋白的基线水平存在显著差异。治疗后,两种适体试剂显示VEGF水溶液浓度下降,而第三种适体试剂则显著增加。干扰研究表明,后一种试剂中观察到的水平增加是由于同时测量了药物结合和游离VEGF浓度(总VEGF),而其他试剂只测量了游离VEGF。结论:在这项探索性研究中,鉴定出56种可能与NVAMD相关的蛋白。在干扰研究中,在抗VEGF治疗后,游离血管内皮生长因子水平下降,而总血管内皮生长因子水平上升。治疗未观察到对蛋白质组的大脱靶效应。我们说明了蛋白质相互作用组如何掩盖或潜在地揭开结合表位,导致不一定与绝对蛋白质水平相关的信号变化。
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引用次数: 0
Plasma proteomics in septic shock and alcohol-related pancreatitis: a hyaluronan-centered approach. 感染性休克和酒精相关性胰腺炎的血浆蛋白质组学:以透明质酸为中心的方法。
IF 3.3 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-08-30 DOI: 10.1186/s12014-025-09556-2
Jaap van der Heijden, Asanda Mazubane, Marko Sallisalmi, Egor Vorontsov, Jyrki Tenhunen, Annelie Barrueta Tenhunen

Background: Sepsis is a critical condition characterized by a dysregulated immune response to infection. As sepsis develops to septic shock, its most severe form, morbidity and mortality increases. Hyaluronan is a key component of the extracellular matrix and the endothelial glycocalyx. In sepsis, plasma hyaluronan concentrations are increased and correlate with disease severity. In this study we aimed to explore and compare the proteomic profiles of hyaluronan-associated proteins in patients with the dysregulated immune response of septic shock and the sterile inflammation of acute alcohol-related pancreatitis.

Methods: The present study involved proteomic analysis of patients with septic shock (n = 13), pancreatitis (n = 8), and healthy controls (n = 8). LC-MS/MS was conducted for peptide analysis. Hyaluronan-associated proteins were identified using the UniProt REST API, followed by functional and pathway enrichment analyses with GOATOOLS and GSEApy. Statistical analyses, including ANOVA and post hoc tests, were performed using Python and SPSS, with significance set at p < 0.05.

Results: From a total sum of 663 detected unique plasma proteins, 15 were identified as hyaluronan-related proteins. Plasma levels of 11/15 proteins separated septic shock from pancreatitis in a statistically significant manner. Between the groups differences were apparent on day 1 (8 proteins in septic shock versus 3 in pancreatitis) and day 4 (6 proteins in septic shock versus 3 in pancreatitis) relative to controls. Functional enrichment analysis revealed associations with extracellular matrix organization, proteolytic enzyme regulation, and hyaluronan metabolism. Notably, members of the inter-alpha-inhibitor family demonstrated distinct patterns, with ITIH3 levels increasing and ITIH1, ITIH2, and ITIH4 levels decreasing in septic shock compared to controls. Additionally, plasma hyaluronidase inhibition correlated positively with ITIH3 levels.

Conclusion: The present study explored the role of hyaluronan-related proteins in septic shock pathophysiology, revealing potential dysregulation associated with sepsis severity. The decrease in ITIH1, ITIH2 and ITIH4, as compared to the increase in ITIH3, suggest a complex alteration in the protein balance of the IαI-family in sepsis. Overall, the altered proteomic profile of hyaluronan-related proteins as reflected by the GO terms indicates a complex dysregulation not only in hyaluronan metabolism and extracellular matrix, but also in the regulation of several proteolytic enzymes. Future studies on this area are warranted.

背景:脓毒症是一种以对感染的免疫反应失调为特征的危重疾病。当败血症发展为感染性休克时,其最严重的形式、发病率和死亡率都会增加。透明质酸是细胞外基质和内皮糖萼的关键成分。在脓毒症中,血浆透明质酸浓度升高并与疾病严重程度相关。在这项研究中,我们旨在探索和比较脓毒性休克免疫反应失调和急性酒精相关性胰腺炎无菌炎症患者透明质酸相关蛋白的蛋白质组学特征。方法:本研究对感染性休克(n = 13)、胰腺炎(n = 8)和健康对照(n = 8)患者进行蛋白质组学分析。采用LC-MS/MS进行多肽分析。使用UniProt REST API鉴定透明质酸相关蛋白,然后使用GOATOOLS和GSEApy进行功能和途径富集分析。统计分析,包括方差分析和事后检验,使用Python和SPSS进行,显著性设置为p。结果:从663个检测到的独特血浆蛋白中,有15个被鉴定为透明质酸相关蛋白。血浆11/15蛋白水平区分感染性休克与胰腺炎具有统计学意义。与对照组相比,组间差异在第1天(感染性休克组有8个蛋白,胰腺炎组有3个蛋白)和第4天(感染性休克组有6个蛋白,胰腺炎组有3个蛋白)比较明显。功能富集分析显示与细胞外基质组织、蛋白水解酶调节和透明质酸代谢有关。值得注意的是,α -抑制剂家族的成员表现出不同的模式,与对照组相比,感染性休克中ITIH3水平升高,ITIH1、ITIH2和ITIH4水平降低。此外,血浆透明质酸酶抑制与ITIH3水平呈正相关。结论:本研究探讨了透明质酸相关蛋白在脓毒症休克病理生理中的作用,揭示了与脓毒症严重程度相关的潜在失调。ITIH1、ITIH2和ITIH4的减少,与ITIH3的增加相比,提示脓毒症中i α i家族蛋白平衡的复杂改变。总的来说,氧化石墨烯术语所反映的透明质酸相关蛋白的蛋白质组学特征的改变表明,不仅在透明质酸代谢和细胞外基质中存在复杂的失调,而且在几种蛋白水解酶的调节中也存在复杂的失调。今后有必要对这一领域进行研究。
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引用次数: 0
Urinary exosomal RAB11A serves as a novel non-invasive biomarker for diagnosis, treatment response monitoring, and prognosis in small cell lung cancer. 尿外泌体RAB11A作为一种新的无创生物标志物,可用于小细胞肺癌的诊断、治疗反应监测和预后。
IF 3.3 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-08-25 DOI: 10.1186/s12014-025-09554-4
Weiwei Wang, Na Liu, Shanshan Wang, Chunkai Yu, Lei Pan, Man Zhang

Background: Small cell lung cancer (SCLC) is an aggressive malignancy with a poor prognosis. This study aimed to analyze the urinary exosomal proteome of SCLC patients to identify and validate potential non-invasive biomarkers for improving diagnosis, treatment response monitoring, and prognosis prediction.

Methods: We analyzed 90 urine samples from SCLC patients, divided into training (n = 38) and validation (n = 52) sets, including untreated, partial/complete remission, and relapsed groups. Ten healthy controls were included. Urinary exosomes were isolated by ultracentrifugation. The proteomic analysis employed data-independent acquisition mass spectrometry (DIA-MS) and parallel reaction monitoring (PRM). Immunohistochemistry was performed on 30 pairs of SCLC and adjacent normal tissues.

Results: Proteomic analysis revealed distinct exosomal protein expression patterns across SCLC stages. RAB11A emerged as a key differentially expressed protein. PRM validation confirmed significant changes in RAB11A levels across disease stages. ROC curve analysis demonstrated excellent diagnostic performance of RAB11A in distinguishing SCLC patients from healthy controls (AUC = 0.91, 95% CI 0.79-1.00, P = 0.0004), with a sensitivity of 85% and specificity of 92%. RAB11A also showed significant potential in monitoring treatment response (AUC = 0.86, 95% CI 0.69-1.00, P = 0.0019) and disease relapse (AUC = 0.90, 95% CI 0.76-1.00, P = 0.0005). Immunohistochemistry showed significantly higher RAB11A expression in SCLC tissues compared to adjacent normal tissues (70% vs. 33% positive expression, P = 0.043).

Conclusion: Urinary exosomal RAB11A shows promise as a non-invasive biomarker for SCLC diagnosis, treatment response monitoring, and early detection of relapse, potentially improving clinical management of SCLC patients. The findings provide insights into SCLC pathogenesis and offer a non-invasive approach for patient monitoring, which could improve clinical management strategies.

背景:小细胞肺癌(SCLC)是一种预后不良的侵袭性恶性肿瘤。本研究旨在分析SCLC患者的尿外泌体蛋白质组,以识别和验证潜在的非侵入性生物标志物,以改善诊断、治疗反应监测和预后预测。方法:我们分析了来自SCLC患者的90份尿液样本,分为训练组(n = 38)和验证组(n = 52),包括未治疗组、部分/完全缓解组和复发组。纳入10名健康对照。用超离心分离尿外泌体。蛋白质组学分析采用数据独立获取质谱(DIA-MS)和平行反应监测(PRM)。对30对SCLC及邻近正常组织进行免疫组化。结果:蛋白质组学分析揭示了不同SCLC分期的外泌体蛋白表达模式。RAB11A是一个关键的差异表达蛋白。PRM验证证实了RAB11A水平在不同疾病阶段的显著变化。ROC曲线分析显示RAB11A在区分SCLC患者和健康对照组方面具有良好的诊断性能(AUC = 0.91, 95% CI 0.79-1.00, P = 0.0004),敏感性为85%,特异性为92%。RAB11A在监测治疗反应(AUC = 0.86, 95% CI 0.69-1.00, P = 0.0019)和疾病复发(AUC = 0.90, 95% CI 0.76-1.00, P = 0.0005)方面也显示出显著的潜力。免疫组化显示RAB11A在SCLC组织中的表达明显高于邻近正常组织(70%比33%阳性表达,P = 0.043)。结论:尿外泌体RAB11A有望作为SCLC诊断、治疗反应监测和早期复发的无创生物标志物,有可能改善SCLC患者的临床管理。这些发现为SCLC的发病机制提供了新的见解,并为患者监测提供了无创方法,可以改善临床管理策略。
{"title":"Urinary exosomal RAB11A serves as a novel non-invasive biomarker for diagnosis, treatment response monitoring, and prognosis in small cell lung cancer.","authors":"Weiwei Wang, Na Liu, Shanshan Wang, Chunkai Yu, Lei Pan, Man Zhang","doi":"10.1186/s12014-025-09554-4","DOIUrl":"10.1186/s12014-025-09554-4","url":null,"abstract":"<p><strong>Background: </strong>Small cell lung cancer (SCLC) is an aggressive malignancy with a poor prognosis. This study aimed to analyze the urinary exosomal proteome of SCLC patients to identify and validate potential non-invasive biomarkers for improving diagnosis, treatment response monitoring, and prognosis prediction.</p><p><strong>Methods: </strong>We analyzed 90 urine samples from SCLC patients, divided into training (n = 38) and validation (n = 52) sets, including untreated, partial/complete remission, and relapsed groups. Ten healthy controls were included. Urinary exosomes were isolated by ultracentrifugation. The proteomic analysis employed data-independent acquisition mass spectrometry (DIA-MS) and parallel reaction monitoring (PRM). Immunohistochemistry was performed on 30 pairs of SCLC and adjacent normal tissues.</p><p><strong>Results: </strong>Proteomic analysis revealed distinct exosomal protein expression patterns across SCLC stages. RAB11A emerged as a key differentially expressed protein. PRM validation confirmed significant changes in RAB11A levels across disease stages. ROC curve analysis demonstrated excellent diagnostic performance of RAB11A in distinguishing SCLC patients from healthy controls (AUC = 0.91, 95% CI 0.79-1.00, P = 0.0004), with a sensitivity of 85% and specificity of 92%. RAB11A also showed significant potential in monitoring treatment response (AUC = 0.86, 95% CI 0.69-1.00, P = 0.0019) and disease relapse (AUC = 0.90, 95% CI 0.76-1.00, P = 0.0005). Immunohistochemistry showed significantly higher RAB11A expression in SCLC tissues compared to adjacent normal tissues (70% vs. 33% positive expression, P = 0.043).</p><p><strong>Conclusion: </strong>Urinary exosomal RAB11A shows promise as a non-invasive biomarker for SCLC diagnosis, treatment response monitoring, and early detection of relapse, potentially improving clinical management of SCLC patients. The findings provide insights into SCLC pathogenesis and offer a non-invasive approach for patient monitoring, which could improve clinical management strategies.</p>","PeriodicalId":10468,"journal":{"name":"Clinical proteomics","volume":"22 1","pages":"30"},"PeriodicalIF":3.3,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12376738/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144945424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Diurnal rhythm of the human plasma proteome. 人血浆蛋白质组的昼夜节律。
IF 3.3 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-08-22 DOI: 10.1186/s12014-025-09551-7
Elvar M S Jóhönnuson, Henriette P Sennels, Henrik L Jørgensen, Jens Hannibal, Ching-Yan Chloé Yeung, Christine Rasmussen, Gabriela Zofia Prus, Nicolai J Wewer Albrechtsen, Annelaura Bach Nielsen

Background: Plasma is the most used clinical specimen, yet diurnal variation in plasma proteins remains largely unexplored. We aimed to identify diurnally-regulated proteins in healthy individuals and assess their potential diagnostic implications, and highlight how diurnal awareness can advance future biomarker research.

Methods: Twenty-four healthy young individuals were studied under highly controlled conditions. Venous blood was drawn every three hours over a 24-h period, yielding 216 samples, of which 208 high-quality plasma samples were analyzed via high-throughput mass spectrometry. The missing data were filtered and imputed, and rhythmicity was assessed using Cosinor-based modeling with Benjamini-Hochberg correction. Tissue and pathway enrichment analyses were performed using the DAVID functional annotation tool.

Findings: Of 523 proteins that passed quality thresholds, 138 (~ 26%) exhibited significant diurnal oscillations. Tissue enrichment analysis revealed that most rhythmic proteins originated from the liver and platelets, with additional enrichment in a variety of tissue types. Pathway enrichment showed diurnal regulation of hemostasis, immune signaling, integrin-mediated processes, glucose metabolism, and protein synthesis. Notably, 36 clinically utilized biomarkers, including albumin, amylase, and cystatin C exhibited diurnal variation, suggesting that failing to account for temporal fluctuations may reduce diagnostic precision.

Interpretation: These findings demonstrate that over one-quarter of the human plasma proteome is under diurnal control. Such oscillations might have direct clinical implications, as the time-of-day may alter biomarker accuracy. Incorporating diurnal timing into diagnostic and research protocols, through standardized sampling or time-sensitive reference intervals, could improve patient care and inform future biomarker discoveries. Further research in larger, more diverse populations is needed to generalize these results and streamline practices in a way that takes diurnal variation into account.

背景:血浆是最常用的临床标本,但血浆蛋白的日变化在很大程度上仍未被探索。我们旨在确定健康个体的昼夜调节蛋白,评估其潜在的诊断意义,并强调昼夜意识如何推进未来的生物标志物研究。方法:在高度控制的条件下,对24名健康青年进行研究。24小时内每隔3小时抽取一次静脉血,共采集216份样本,其中208份高质量血浆样本通过高通量质谱分析。对缺失数据进行过滤和输入,并使用基于余弦校正的benjamin - hochberg校正模型评估节律性。使用DAVID功能注释工具进行组织和途径富集分析。结果:在523个通过质量阈值的蛋白质中,138个(约26%)表现出显著的日振荡。组织富集分析显示,大多数节律性蛋白起源于肝脏和血小板,在各种组织类型中有额外的富集。途径富集显示了止血、免疫信号、整合素介导的过程、葡萄糖代谢和蛋白质合成的昼夜调节。值得注意的是,包括白蛋白、淀粉酶和胱抑素C在内的36种临床使用的生物标志物显示出日变化,这表明不考虑时间波动可能会降低诊断的准确性。解释:这些发现表明,超过四分之一的人类血浆蛋白质组处于昼夜控制之下。这种振荡可能有直接的临床意义,因为一天中的时间可能会改变生物标志物的准确性。通过标准化采样或时间敏感参考间隔,将昼夜计时纳入诊断和研究方案,可以改善患者护理,并为未来的生物标志物发现提供信息。需要在更大、更多样化的人群中进行进一步的研究,以推广这些结果,并以一种考虑到日变化的方式简化实践。
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引用次数: 0
Revelation of prognosis and tumor microenvironment of colorectal cancer based on genes related to antibody-dependent cellular phagocytosis and single-cell landscape. 基于抗体依赖性细胞吞噬和单细胞景观相关基因揭示结直肠癌预后和肿瘤微环境
IF 3.3 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-08-21 DOI: 10.1186/s12014-025-09553-5
Leilei Yang, Jiaju Han, Weiwei Ma, Ruili Zhang, Shenkang Zhou
<p><strong>Background: </strong>Increasing evidence highlights the crucial role of antibody-dependent cellular phagocytosis (ADCP) in colorectal cancer (CRC). However, how to use ADCP-related genes to predict prognosis in CRC and guide treatment remains unelucidated.</p><p><strong>Methods: </strong>Gene expression profiles and clinical data information on CRC were sourced from the Cancer Genome Atlas (TCGA) database. We obtained the validation set GSE29621 and CRC single-cell dataset GSE178341 from the Gene Expression Omnibus (GEO) database and the ADCP-related gene set from the literature. Based on the TCGA-CRC cohort, univariate Cox and LASSO Cox regression analyses were employed to screen for ADCP-related genes linked with prognosis. Then a prognostic model was set up through multivariate Cox regression analysis. We further graphed a nomogram based on clinical information and risk scoring and evaluated its prognostic value using Kaplan-Meier (K-M) survival curves and receiver operation characteristic (ROC) curves. Based on the single-cell data analysis model, the expression levels of genes in different cell clusters were evaluated by scoring individual cells using the AUCell R package. Finally, functional enrichment, immune infiltration, and somatic mutation analyses were performed on the high- and low-ADCP-related risk score (ADCPRS) groups clustered by the median value of the ADCPRS. In addition, small molecular drugs for the treatment of CRC patients were analyzed using drug sensitivity analysis of IC<sub>50</sub> and molecular docking.</p><p><strong>Results: </strong>This project created a prognostic model based on 7 feature genes using the TCGA training set. The K-M survival curves and ROC curves indicated that the model, as well as the nomogram, was capable of accurately predicting prognosis for CRC patients. Based on scRNA-seq data analysis, the 7 feature genes were examined to be expressed across 8 cell clusters (Monocytes, CD8 + T cells, Epithelial cells, B cells, Macrophages, HSC, Endothelial cells, and Fibroblasts). We scored individual cells and revealed that cells with higher scores were mainly concentrated in B cells and macrophages. Functional enrichment analysis manifested that the upregulated differentially expressed genes (DEGs) in the high-ADCPRS group were mainly enriched in signaling pathways such as the Drug metabolism cytochrome P450, Neuroactive ligand-receptor interaction, and Calcium signaling pathway. Immune infiltration analysis manifested that Th1 cells, iDCs, and Th2 cells had higher abundance in the low-ADCPRS group. Gene mutation analysis uncovered that both high- and low-ADCPRS groups had high mutation rates, with APC and TP53 being the top two genes with the highest mutation rates. Moreover, the drug sensitivity analysis and molecular docking uncovered that Dasatinib, Benzaldehyde, and Tegafur may aid in treating CRC patients.</p><p><strong>Conclusion: </strong>The prognostic model developed in this project fu
背景:越来越多的证据强调了抗体依赖性细胞吞噬(ADCP)在结直肠癌(CRC)中的关键作用。然而,如何利用adcp相关基因预测结直肠癌的预后并指导治疗尚不清楚。方法:CRC的基因表达谱和临床数据信息来源于癌症基因组图谱(TCGA)数据库。我们从Gene Expression Omnibus (GEO)数据库中获得验证集GSE29621和CRC单细胞数据集GSE178341,并从文献中获得adcp相关基因集。基于TCGA-CRC队列,采用单变量Cox和LASSO Cox回归分析筛选与预后相关的adcp相关基因。然后通过多变量Cox回归分析建立预后模型。我们进一步绘制了基于临床信息和风险评分的nomogram,并使用Kaplan-Meier (K-M)生存曲线和受试者工作特征(ROC)曲线评估其预后价值。基于单细胞数据分析模型,利用AUCell R软件包对单个细胞进行评分,评估不同细胞簇中基因的表达水平。最后,对高、低adcp相关风险评分(ADCPRS)组进行功能富集、免疫浸润和体细胞突变分析。此外,采用IC50药物敏感性分析和分子对接对治疗结直肠癌患者的小分子药物进行分析。结果:本项目利用TCGA训练集建立了基于7个特征基因的预后模型。K-M生存曲线和ROC曲线表明该模型及nomogram能够准确预测结直肠癌患者的预后。基于scRNA-seq数据分析,检测了7个特征基因在8个细胞簇(单核细胞、CD8 + T细胞、上皮细胞、B细胞、巨噬细胞、HSC、内皮细胞和成纤维细胞)中的表达。我们对单个细胞进行了评分,发现得分较高的细胞主要集中在B细胞和巨噬细胞中。功能富集分析表明,高adcprs组差异表达基因(DEGs)的上调主要富集在药物代谢细胞色素P450、神经活性配体-受体相互作用、钙信号通路等信号通路。免疫浸润分析显示,低adcprs组Th1细胞、iDCs和Th2细胞丰度较高。基因突变分析发现,高adcprs组和低adcprs组的突变率都很高,其中APC和TP53是突变率最高的两个基因。此外,药物敏感性分析和分子对接发现达沙替尼、苯甲醛和替加富可能有助于治疗结直肠癌患者。结论:本项目建立的预后模型可作为风险评估的潜在工具。这7个模式基因可能作为结直肠癌的预后生物标志物,指导结直肠癌患者的治疗决策。
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引用次数: 0
Unveiling the protein landscape for early detection of colorectal precancerous lesions. 揭示结肠直肠癌前病变早期检测的蛋白质景观。
IF 3.3 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-08-21 DOI: 10.1186/s12014-025-09552-6
Yuanke Luo, Chong Xiao, Chuan Zheng, Simin Luo, Yifang Jiang, Fengming You, Xi Fu, Xueke Li

Colorectal cancer (CRC) has emerged as the second most prevalent cause of cancer-related mortality globally. Early identification of precancerous lesions prone to malignant transformation is pivotal in CRC prevention. Proteins, as microscopic reflections of cellular functional states, offer insights into pathological alterations within precancerous lesions through changes in their expression and function. Our review summarizes the protein research on colorectal adenomas under different sample conditions, including traditional adenomas, serrated lesions, LST, FAP and IBD. It highlights the changes in the expression patterns of key proteins and their potential mechanisms underlying the transition from precancerous to cancerous states. Additionally, it summarizes the research on post-translational modifications of characteristic protein families and associated signaling pathways, while discussing current techniques for studying protein expression and function in colorectal cancer, such as proteomics and artificial intelligence. However, current research limitations, such as small sample sizes, limited sample types, and insufficient in-depth mechanistic analysis, hinder comprehensive understanding. Future research should expand study cohorts, diversify sample types, and leverage machine learning and multi-omics approaches to develop predictive models. By doing so, a more comprehensive understanding of protein profiles during the progression from colorectal precancerous to cancerous lesions can be obtained, facilitating early CRC diagnosis and the development of targeted therapeutic interventions.

结直肠癌(CRC)已成为全球癌症相关死亡的第二大常见原因。早期发现易发生恶性转化的癌前病变是预防结直肠癌的关键。蛋白质作为细胞功能状态的微观反映,通过其表达和功能的变化,可以深入了解癌前病变的病理改变。本文综述了不同样品条件下结直肠腺瘤的蛋白研究,包括传统腺瘤、锯齿状病变、LST、FAP和IBD。它强调了关键蛋白表达模式的变化及其从癌前到癌前状态转变的潜在机制。此外,综述了结直肠癌中特征蛋白家族的翻译后修饰及其相关信号通路的研究,同时讨论了目前研究结直肠癌中蛋白表达和功能的技术,如蛋白质组学和人工智能。然而,目前的研究局限,如样本量小,样本类型有限,机制分析不够深入,阻碍了全面的认识。未来的研究应该扩大研究群体,多样化样本类型,并利用机器学习和多组学方法来开发预测模型。通过这样做,可以更全面地了解结直肠癌癌前病变向癌性病变发展过程中的蛋白质谱,从而促进结直肠癌的早期诊断和有针对性的治疗干预措施的发展。
{"title":"Unveiling the protein landscape for early detection of colorectal precancerous lesions.","authors":"Yuanke Luo, Chong Xiao, Chuan Zheng, Simin Luo, Yifang Jiang, Fengming You, Xi Fu, Xueke Li","doi":"10.1186/s12014-025-09552-6","DOIUrl":"10.1186/s12014-025-09552-6","url":null,"abstract":"<p><p>Colorectal cancer (CRC) has emerged as the second most prevalent cause of cancer-related mortality globally. Early identification of precancerous lesions prone to malignant transformation is pivotal in CRC prevention. Proteins, as microscopic reflections of cellular functional states, offer insights into pathological alterations within precancerous lesions through changes in their expression and function. Our review summarizes the protein research on colorectal adenomas under different sample conditions, including traditional adenomas, serrated lesions, LST, FAP and IBD. It highlights the changes in the expression patterns of key proteins and their potential mechanisms underlying the transition from precancerous to cancerous states. Additionally, it summarizes the research on post-translational modifications of characteristic protein families and associated signaling pathways, while discussing current techniques for studying protein expression and function in colorectal cancer, such as proteomics and artificial intelligence. However, current research limitations, such as small sample sizes, limited sample types, and insufficient in-depth mechanistic analysis, hinder comprehensive understanding. Future research should expand study cohorts, diversify sample types, and leverage machine learning and multi-omics approaches to develop predictive models. By doing so, a more comprehensive understanding of protein profiles during the progression from colorectal precancerous to cancerous lesions can be obtained, facilitating early CRC diagnosis and the development of targeted therapeutic interventions.</p>","PeriodicalId":10468,"journal":{"name":"Clinical proteomics","volume":"22 1","pages":"27"},"PeriodicalIF":3.3,"publicationDate":"2025-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12372278/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144945393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"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
Cerebrospinal fluid quantitative proteomic reveals potential mechanisms and biomarker candidates of children with bacterial meningitis complicated by neurological complications. 脑脊液定量蛋白质组学揭示了儿童细菌性脑膜炎并发神经系统并发症的潜在机制和生物标志物候选物。
IF 3.3 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-08-11 DOI: 10.1186/s12014-025-09548-2
Binglin Jian, Jing Wei, Liang Zhu, Lingyun Guo, Bing Hu, Yue Xie, Tianming Chen, Bing Liu, Wanrong Li, Jidong Du, Linlin Liu, Xixi Zhang, Wei Sun, Zhengguang Guo, Kaihu Yao, Lulu Jia, Gang Liu

Background: Bacterial meningitis complicated by neurological complications (BMN) is a major cause of poor outcomes and mortality among children with bacterial meningitis. So far, the host-related mechanisms and diagnostic biomarkers of BMN and bacterial meningitis without neurological complications (BM) remain poorly understood and limited.

Methods: We implemented a two-stage cerebrospinal fluid (CSF) quantitative proteomics study involving three groups: children with BMN, BM, and diseases not involving the central nervous system(Ctrl). Initially, in the discovery cohort, data-independent acquisition (DIA) mass spectrometry was used for proteomic profiling on 242 CSF samples (77 BMN, 52 BM, and 113 Ctrl). Differentially expressed proteins (DEPs) were identified among the BMN/Ctrl, BM/Ctrl, and BMN/BM groups, followed by an analysis of their functional enrichment. Next, the parallel reaction monitoring (PRM) method was used to validate the essential DEPs identified during the DIA phase in a validation cohort of 196 subjects (94 BMN, 47 BM, and 55 Ctrl). Subsequently, the validated DEPs were further filtered to construct a PRM-based machine learning model that distinguishes between BMN and BM.

Results: A total of 1376 DEPs were identified in BM/Ctrl (757 upregulated, 619 downregulated), 1295 in BMN/Ctrl (745 upregulated, 550 downregulated), and 356 in BMN/BM(60 upregulated, 296 downregulated), respectively. The functional results indicate that the upregulated DEPs were primarily enriched in immunity, inflammation, complement, and phagocytosis in BMN/Ctrl and BM/Ctrl. Immunoglobulin production, phagocytosis, and the classical pathway of complement activation were further upregulated in BMN/BM. The downregulated DEPs are primarily enriched in cell adhesion, nervous system function, and synapses in BMN/Ctrl and BM/Ctrl; some were further enriched in BMN/BM. In addition, some of the innate immunity, translation, signal transduction, nervous system, and redox processes were mainly downregulated in BMN/BM. The PRM successfully verified 22 significant DEPs. Among them, UAB1, MTPN, ARHGDIB, IGHG3, and AMBP could be combined to distinguish BMN from BM, achieving an AUC of 0.998 in the training set and 0.824 in the validation set.

Conclusions: This study identified distinct CSF protein expression profiles in children with BMN, BM, and Ctrl, potentially enhancing our understanding of the molecular mechanisms underlying bacterial meningitis. These protein signatures help us distinguish bacterial meningitis from the Ctrl group. Furthermore, selected biomarkers could support the differentiation between BMN and BM.

背景:细菌性脑膜炎合并神经系统并发症(BMN)是细菌性脑膜炎儿童预后不良和死亡的主要原因。到目前为止,BMN和细菌性脑膜炎无神经系统并发症(BM)的宿主相关机制和诊断生物标志物仍然知之甚少和有限。方法:我们实施了一项两阶段脑脊液(CSF)定量蛋白质组学研究,涉及三组:BMN、BM和不涉及中枢神经系统疾病(Ctrl)的儿童。最初,在发现队列中,使用数据独立采集(DIA)质谱法对242份脑脊液样本(77份BMN, 52份BM和113份Ctrl)进行蛋白质组学分析。在BMN/Ctrl、BM/Ctrl和BMN/BM组中鉴定差异表达蛋白(DEPs),并分析其功能富集。接下来,采用平行反应监测(PRM)方法对196名受试者(94名BMN, 47名BM和55名Ctrl)在DIA阶段鉴定的基本dep进行验证。随后,对经过验证的dep进行进一步过滤,构建基于prm的机器学习模型,以区分BMN和BM。结果:在BM/Ctrl中共鉴定出1376个dep(757个上调,619个下调),在BMN/Ctrl中鉴定出1295个dep(745个上调,550个下调),在BMN/BM中鉴定出356个dep(60个上调,296个下调)。功能结果表明,上调的DEPs主要富集于BMN/Ctrl和BM/Ctrl的免疫、炎症、补体和吞噬功能。免疫球蛋白的产生、吞噬和补体激活的经典途径在BMN/BM中进一步上调。下调的DEPs主要富集于细胞粘附、神经系统功能和BMN/Ctrl和BM/Ctrl的突触;部分细胞进一步富集BMN/BM。此外,一些先天免疫、翻译、信号转导、神经系统和氧化还原过程在BMN/BM中主要下调。PRM成功验证了22个重要dep。其中,UAB1、MTPN、ARHGDIB、IGHG3和AMBP可以联合用于区分BMN和BM,在训练集和验证集的AUC分别为0.998和0.824。结论:本研究确定了BMN、BM和Ctrl患儿不同的脑脊液蛋白表达谱,潜在地增强了我们对细菌性脑膜炎分子机制的理解。这些蛋白质特征帮助我们区分细菌性脑膜炎和Ctrl组。此外,选定的生物标志物可以支持BMN和BM之间的区分。
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引用次数: 0
Decreased proliferation of HepG2 liver cancer cells in vitro and exhibited proteomic changes in vivo in subjects with metabolic syndrome and metabolic dysfunction-associated steatotic liver disease who performed four-week dawn-to-dusk dry fasting. 在体外,代谢综合征和代谢功能障碍相关的脂肪变性肝病患者进行为期四周的黎明至黄昏干禁食后,HepG2肝癌细胞增殖减少,体内蛋白质组学变化。
IF 2.8 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-06-24 DOI: 10.1186/s12014-025-09547-3
Ayse L Mindikoglu, Kristin Eckel-Mahan, Antone R Opekun, Mustafa M Alzubaidi, Zoe R Crochet, Prasun K Jalal, Sung Yun Jung

Background: Four-week dawn-to-dusk dry fasting (DDDF) was previously shown to have a potent anti-inflammatory effect and induce an anti-tumorigenic proteome in the serum and peripheral blood mononuclear cells in subjects without cancer. The study goal was to determine if serum obtained from these subjects without cancer who underwent 4-week DDDF has an anti-tumorigenic effect.

Methods: HepG2 cells were treated with serum collected from four individuals with metabolic syndrome and metabolic dysfunction-associated steatotic liver disease (MASLD) and four healthy individuals who performed 4-week DDDF. The objective was to assess cell proliferation/viability in HepG2 cells treated with non-fasted and dry-fasted serum and determine proteomic changes in human serum. We comparatively performed 3-[4,5-dimethylthiazol-2-yl]-2,5-diphenyltetrazolium bromide (MTT) cell proliferation assay and untargeted proteomic analysis using nano ultra-high performance liquid chromatography coupled with tandem mass spectrometry.

Results: Serum collected from 3 out of 4 subjects with metabolic syndrome and MASLD at the end of 4-week DDDF (dry-fasted serum/V2) significantly reduced proliferation/viability in HepG2 cells compared with the serum collected before 4-week DDDF (non-fasted serum/V1). A similar reduction effect on cell proliferation was not observed when HepG2 cells were treated with dry-fasted serum collected from healthy subjects. In addition to the in vitro changes observed, the following circulating gene protein products (GP) demonstrated significant increases or decreases in subjects with metabolic syndrome and MASLD after a 4-week DDDF regimen, compared with their GP levels before the 4-week DDDF: CD248 molecule (mean log2 fold = 8.124, P = 0.001), dipeptidyl peptidase 4 (mean log2 fold = 0.937, P = 0.027), lymphatic vessel endothelial hyaluronan receptor 1 (mean log2 fold = 1.054, P = 0.029), LDL receptor related protein 1 (mean log2 fold = 1.401, P = 0.031), and beta-2-microglobulin (mean log2 fold= -0.977, P = 0.033) at the end of 4-week DDDF compared with the GP levels before 4-week DDDF.

Conclusion: This study demonstrated that dry-fasted serum collected from subjects with metabolic syndrome and MASLD decreased HepG2 cell proliferation in vitro and showed that proteomic changes occurred in vivo. These findings suggest that DDDF may be an effective intervention for inducing proteomic responses that could assist in the prevention and adjunct treatment of cancers associated with metabolic syndrome.

背景:4周的黎明至黄昏干禁食(DDDF)先前被证明具有有效的抗炎作用,并在无癌症受试者的血清和外周血单个核细胞中诱导抗肿瘤蛋白组。研究目的是确定从这些接受4周DDDF治疗的无癌受试者中获得的血清是否具有抗肿瘤作用。方法:用4例代谢综合征和代谢功能障碍相关脂肪变性肝病(MASLD)患者和4例进行4周DDDF的健康人的血清处理HepG2细胞。目的是评估非禁食和干禁食血清处理HepG2细胞的细胞增殖/活力,并确定人血清中蛋白质组学的变化。采用纳米超高效液相色谱-串联质谱联用技术对3-[4,5-二甲基噻唑-2-基]-2,5-二苯基溴化四唑(MTT)细胞增殖试验和非靶向蛋白质组学分析进行了比较。结果:在4周DDDF(干禁食血清/V2)结束时,4例代谢综合征和MASLD患者中有3例的血清与4周DDDF(非禁食血清/V1)前收集的血清相比,HepG2细胞的增殖/活力明显降低。用健康人的干断血清处理HepG2细胞时,未观察到类似的细胞增殖抑制作用。除了在体外观察到的变化外,与4周DDDF治疗前的GP水平相比,代谢综合征和MASLD患者在4周DDDF治疗后的循环基因蛋白产物(GP)水平显著增加或减少:DDDF 4周结束时CD248分子(平均log2倍= 8.124,P = 0.001)、二肽基肽酶4(平均log2倍= 0.937,P = 0.027)、淋巴管内皮透明质酸受体1(平均log2倍= 1.054,P = 0.029)、LDL受体相关蛋白1(平均log2倍= 1.401,P = 0.031)、β -2微球蛋白(平均log2倍= -0.977,P = 0.033)与DDDF 4周前的GP水平比较。结论:本研究表明,代谢综合征和MASLD患者的干断血清在体外降低了HepG2细胞的增殖,并在体内显示出蛋白质组学的变化。这些发现表明,DDDF可能是一种有效的干预手段,可以诱导蛋白质组反应,有助于预防和辅助治疗与代谢综合征相关的癌症。
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引用次数: 0
Associations of plasma protein levels with risk of colorectal cancer: a proteome-wide Mendelian randomization study. 血浆蛋白水平与结直肠癌风险的关联:一项蛋白质组范围的孟德尔随机研究。
IF 2.8 3区 医学 Q2 BIOCHEMICAL RESEARCH METHODS Pub Date : 2025-06-04 DOI: 10.1186/s12014-025-09545-5
Zhen-Kun Pan, Meng-Hua Wu, Hua Shi, Yong-Jian Ni, Quan-Li Geng, Jin-Sheng Ye

Background: The treatment of advanced or metastatic colorectal cancer (CRC) poses a global challenge. Mendelian Randomization (MR) has been primarily applied for repurposing licensed drugs and uncovering new therapeutic targets.

Objective: This study aims to systematically identify potential plasma protein targets for CRC using proteome-wide Mendelian randomization and evaluate their potential side effects through phenome-wide association studies (Phe-WAS).

Methods: We conducted a comprehensive proteome-wide MR study to assess the causal relationships between plasma proteins and the risk of CRC and evaluate their potential side effects through Phe-WAS. The plasma proteins were sourced from the Finland and Iceland decode database, encompassing GWAS data for plasma proteins (Olink-619 samples across 2925 proteins, SomaScan -828 samples across 7596 proteins and Iceland decode database across 4907 proteins). Additionally, GWAS data for CRC were extracted from the UK Biobank-SAIGE database, including 3051 cases and 382,756 controls. Subsequently, colocalization analysis was performed to identify shared causal variants between plasma proteins and CRC. Finally, a phenome-wide association study (Phe-WAS) was conducted to examine the potential adverse effects of druggable proteins for CRC, utilizing the extensive UK Biobank-SAIGE database, encompassing 783 phenotypes.

Results: The MR analysis identified GREM1, DKKL1, and CHRDL2 as plasma proteins whose genetically predicted levels were positively associated with CRC risk, whereas TMEM132A was inversely associated with CRC risk (P_fdr < 0.05). The colocalization analysis identified these four proteins as shared variation with CRC (PPH3 + PPH4 > 0.7), suggesting that these proteins represent potential direct targets for CRC intervention. Further phenotype-wide association studies showed no significant potential side effects of these targets (P_fdr > 0.05).

Conclusion: This proteome-wide Mendelian randomization study offers a comprehensive molecular landscape of CRC, identifying GREM1, DKKL1, CHRDL2, and TMEM132A as potential therapeutic targets. Our research provides a critical foundation for future experimental validation and therapeutic development in colorectal cancer management.

背景:晚期或转移性结直肠癌(CRC)的治疗是一个全球性的挑战。孟德尔随机化(MR)主要应用于已批准药物的再利用和发现新的治疗靶点。目的:本研究旨在采用全蛋白质组孟德尔随机化方法系统地鉴定结直肠癌的潜在血浆蛋白靶点,并通过全现象关联研究(Phe-WAS)评估其潜在副作用。方法:我们进行了一项全面的蛋白质组范围的MR研究,通过Phe-WAS评估血浆蛋白与结直肠癌风险之间的因果关系,并评估其潜在的副作用。血浆蛋白来源于芬兰和冰岛解码数据库,包含血浆蛋白的GWAS数据(Olink-619样本包含2925种蛋白质,SomaScan -828样本包含7596种蛋白质,冰岛解码数据库包含4907种蛋白质)。此外,从UK Biobank-SAIGE数据库中提取CRC的GWAS数据,包括3051例病例和382,756例对照。随后,进行了共定位分析,以确定血浆蛋白和结直肠癌之间的共同因果变异。最后,利用广泛的UK Biobank-SAIGE数据库,包括783种表型,进行了一项全表型关联研究(Phe-WAS),以检查可药物蛋白对结直肠癌的潜在不良影响。结果:MR分析发现GREM1、DKKL1和CHRDL2是血浆蛋白,其基因预测水平与CRC风险呈正相关,而TMEM132A与CRC风险呈负相关(P_fdr 0.7),这表明这些蛋白代表了CRC干预的潜在直接靶点。进一步的全表型关联研究显示,这些靶点没有显著的潜在副作用(P_fdr > 0.05)。结论:这项蛋白质组范围的孟德尔随机化研究提供了CRC的全面分子景观,确定了GREM1、DKKL1、CHRDL2和TMEM132A作为潜在的治疗靶点。我们的研究为未来结直肠癌治疗的实验验证和治疗发展提供了重要的基础。
{"title":"Associations of plasma protein levels with risk of colorectal cancer: a proteome-wide Mendelian randomization study.","authors":"Zhen-Kun Pan, Meng-Hua Wu, Hua Shi, Yong-Jian Ni, Quan-Li Geng, Jin-Sheng Ye","doi":"10.1186/s12014-025-09545-5","DOIUrl":"10.1186/s12014-025-09545-5","url":null,"abstract":"<p><strong>Background: </strong>The treatment of advanced or metastatic colorectal cancer (CRC) poses a global challenge. Mendelian Randomization (MR) has been primarily applied for repurposing licensed drugs and uncovering new therapeutic targets.</p><p><strong>Objective: </strong>This study aims to systematically identify potential plasma protein targets for CRC using proteome-wide Mendelian randomization and evaluate their potential side effects through phenome-wide association studies (Phe-WAS).</p><p><strong>Methods: </strong>We conducted a comprehensive proteome-wide MR study to assess the causal relationships between plasma proteins and the risk of CRC and evaluate their potential side effects through Phe-WAS. The plasma proteins were sourced from the Finland and Iceland decode database, encompassing GWAS data for plasma proteins (Olink-619 samples across 2925 proteins, SomaScan -828 samples across 7596 proteins and Iceland decode database across 4907 proteins). Additionally, GWAS data for CRC were extracted from the UK Biobank-SAIGE database, including 3051 cases and 382,756 controls. Subsequently, colocalization analysis was performed to identify shared causal variants between plasma proteins and CRC. Finally, a phenome-wide association study (Phe-WAS) was conducted to examine the potential adverse effects of druggable proteins for CRC, utilizing the extensive UK Biobank-SAIGE database, encompassing 783 phenotypes.</p><p><strong>Results: </strong>The MR analysis identified GREM1, DKKL1, and CHRDL2 as plasma proteins whose genetically predicted levels were positively associated with CRC risk, whereas TMEM132A was inversely associated with CRC risk (P_fdr < 0.05). The colocalization analysis identified these four proteins as shared variation with CRC (PPH3 + PPH4 > 0.7), suggesting that these proteins represent potential direct targets for CRC intervention. Further phenotype-wide association studies showed no significant potential side effects of these targets (P_fdr > 0.05).</p><p><strong>Conclusion: </strong>This proteome-wide Mendelian randomization study offers a comprehensive molecular landscape of CRC, identifying GREM1, DKKL1, CHRDL2, and TMEM132A as potential therapeutic targets. Our research provides a critical foundation for future experimental validation and therapeutic development in colorectal cancer management.</p>","PeriodicalId":10468,"journal":{"name":"Clinical proteomics","volume":"22 1","pages":"24"},"PeriodicalIF":2.8,"publicationDate":"2025-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12135285/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144215137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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Clinical proteomics
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