Pub Date : 2024-05-01Epub Date: 2024-01-02DOI: 10.1002/prca.202300102
Sofia Guedes, Luís Perpétuo, Jacinta Veloso, Tânia Lima, Ana F Ferreira, Inês Pires, Francisca Savaiva, André Lourenço, Liliana Moreira-Costa, Adelino Leite-Moreira, Antonio Barros, Fábio Trindade, Rui Vitorino
Purpose: The main objective of this study is to characterize and analyze modified peptides in DBS samples. This includes deciphering their specific PTMs and understanding their potential impact on the population or disease cohort under study.
Experimental design: Using mass spectrometry-based proteomic approaches, we performed a comprehensive analysis of DBS samples. Our focus was on the identification and quantification of modified peptides. We also took advantage of recent advances in DBS mass spectrometry to ensure accurate detection and quantification.
Results: A comprehensive analysis identified 972 modified peptides in DBS samples. Of these, a subset of 211 peptides was consistently present in all samples, highlighting their potential biological importance and relevance. This indicates a diverse spectrum of PTMs in the proteome of DBS samples.
Conclusions and clinical relevance: Integration of mass spectrometry and proteomics has revealed a broad spectrum of modified peptides in DBS samples and highlighted their importance in biological processes and disease progression. Accurate detection of these PTMs may be critical for risk stratification and disease management. This study improves the understanding of molecular mechanisms underlying biological processes and disease development, providing important insights for clinical applications.
{"title":"Comprehensive characterization of protein modifications using mass spectrometry and dry blood spots.","authors":"Sofia Guedes, Luís Perpétuo, Jacinta Veloso, Tânia Lima, Ana F Ferreira, Inês Pires, Francisca Savaiva, André Lourenço, Liliana Moreira-Costa, Adelino Leite-Moreira, Antonio Barros, Fábio Trindade, Rui Vitorino","doi":"10.1002/prca.202300102","DOIUrl":"10.1002/prca.202300102","url":null,"abstract":"<p><strong>Purpose: </strong>The main objective of this study is to characterize and analyze modified peptides in DBS samples. This includes deciphering their specific PTMs and understanding their potential impact on the population or disease cohort under study.</p><p><strong>Experimental design: </strong>Using mass spectrometry-based proteomic approaches, we performed a comprehensive analysis of DBS samples. Our focus was on the identification and quantification of modified peptides. We also took advantage of recent advances in DBS mass spectrometry to ensure accurate detection and quantification.</p><p><strong>Results: </strong>A comprehensive analysis identified 972 modified peptides in DBS samples. Of these, a subset of 211 peptides was consistently present in all samples, highlighting their potential biological importance and relevance. This indicates a diverse spectrum of PTMs in the proteome of DBS samples.</p><p><strong>Conclusions and clinical relevance: </strong>Integration of mass spectrometry and proteomics has revealed a broad spectrum of modified peptides in DBS samples and highlighted their importance in biological processes and disease progression. Accurate detection of these PTMs may be critical for risk stratification and disease management. This study improves the understanding of molecular mechanisms underlying biological processes and disease development, providing important insights for clinical applications.</p>","PeriodicalId":20571,"journal":{"name":"PROTEOMICS – Clinical Applications","volume":" ","pages":"e2300102"},"PeriodicalIF":2.5,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139088133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tianze Yu, Jin Chen, Shi Wu, Min Jiang, Ling Han, Ying Ma
BackgroundCutibacterium acnes is a commensal bacterium residing in healthy skin and plays a critical role in maintaining skin homeostasis. C. acnes has been considered closely related to acne vulgaris, while recent studies suggest that C. acnes and its metabolites may have a protective role in atopic dermatitis (AD) by modulating the immune system and maintaining skin homeostasis. Extracellular vesicles (EVs) are small membranous vesicles secreted by bacteria that participate in bacteria‐host interactions.MethodsThis study first compared C. acnes EVs from AD lesions (AD‐EVs), acne lesions (Acne‐EVs), and healthy skin (NC‐EVs), using Label‐free quantitative LC‐MS/MS and validated differently expressed proteins by parallel reaction monitoring (PRM). Then Normal Human Epidermal Keratinocytes (NHEK) and human primary keratinocytes (KC) were treated with C. acnes EVs isolated from different groups, and the expressions of inflammatory factors were measured by quantitative real‐time PCR and Western blotting.ResultsCompared with the acne group, the AD group showed greater downregulation of proteins related to energy metabolism and carbon source utilization pathway. Differences in protein profile in AD and acne lesion‐separated C. acnes EVs correspond to the abnormal sebum secretion pattern in both diseases. C. acnes EVs from different groups affected different expressions of Th1 and Th2 inflammatory factors and epidermal barrier markers in NHEK and KC, indicating different immunomodulatory potentials.ConclusionsThis study observed distinct proteomic differences between AD‐EVs and Acne‐EVs, and provided insights into the functional differences of C. acnes EVs in AD and acne.
{"title":"Potential functionality of Cutibacterium acnes extracellular vesicles in atopic dermatitis and acne vulgaris: A comparative proteomic analysis","authors":"Tianze Yu, Jin Chen, Shi Wu, Min Jiang, Ling Han, Ying Ma","doi":"10.1002/prca.202300106","DOIUrl":"https://doi.org/10.1002/prca.202300106","url":null,"abstract":"Background<jats:italic>Cutibacterium acnes</jats:italic> is a commensal bacterium residing in healthy skin and plays a critical role in maintaining skin homeostasis. <jats:italic>C. acnes</jats:italic> has been considered closely related to acne vulgaris, while recent studies suggest that <jats:italic>C. acnes</jats:italic> and its metabolites may have a protective role in atopic dermatitis (AD) by modulating the immune system and maintaining skin homeostasis. Extracellular vesicles (EVs) are small membranous vesicles secreted by bacteria that participate in bacteria‐host interactions.MethodsThis study first compared <jats:italic>C. acnes</jats:italic> EVs from AD lesions (AD‐EVs), acne lesions (Acne‐EVs), and healthy skin (NC‐EVs), using Label‐free quantitative LC‐MS/MS and validated differently expressed proteins by parallel reaction monitoring (PRM). Then Normal Human Epidermal Keratinocytes (NHEK) and human primary keratinocytes (KC) were treated with <jats:italic>C. acnes</jats:italic> EVs isolated from different groups, and the expressions of inflammatory factors were measured by quantitative real‐time PCR and Western blotting.ResultsCompared with the acne group, the AD group showed greater downregulation of proteins related to energy metabolism and carbon source utilization pathway. Differences in protein profile in AD and acne lesion‐separated <jats:italic>C. acnes</jats:italic> EVs correspond to the abnormal sebum secretion pattern in both diseases. <jats:italic>C. acnes</jats:italic> EVs from different groups affected different expressions of Th1 and Th2 inflammatory factors and epidermal barrier markers in NHEK and KC, indicating different immunomodulatory potentials.ConclusionsThis study observed distinct proteomic differences between AD‐EVs and Acne‐EVs, and provided insights into the functional differences of <jats:italic>C. acnes</jats:italic> EVs in AD and acne.","PeriodicalId":20571,"journal":{"name":"PROTEOMICS – Clinical Applications","volume":"98 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140627933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hui Ye, Xiabo Shen, Yaohan Li, Weibin Zou, Syed Shams ul Hassan, Yue Feng, Xiaojia Wang, Jingkui Tian, Xiying Shao, Yi Tao, Wei Zhu
BackgroundBreast cancer (BC) is the second leading cause of cancer‐related deaths among women, primarily due to metastases to other organs rather than the primary tumor.MethodsIn this study, a comprehensive analysis of plasma proteomics and metabolomics was conducted on a cohort of 51 BC patients. Potential biomarkers were screened by the Least Absolute Shrinkage and Selection Operator (LASSO) regression and Random Forest algorithm. Additionally, enzyme‐linked immunosorbent assay (ELISA) kits and untargeted metabolomics were utilized to validate the prognostic biomarkers in an independent cohort.ResultsIn the study, extracellular matrix (ECM)‐related functional enrichments were observed to be enriched in BC cases with bone metastases. Proteins dysregulated in retinol metabolism in liver metastases and leukocyte transendothelial migration in lung metastases were also identified. Machine learning models identified specific biomarker panels for each metastasis type, achieving high diagnostic accuracy with area under the curve (AUC) of 0.955 for bone, 0.941 for liver, and 0.989 for lung metastases.ConclusionsFor bone metastasis, biomarkers such as leucyl‐tryptophan, LysoPC(P‐16:0/0:0), FN1, and HSPG2 have been validated. dUDP, LPE(18:1/0:0), and aspartylphenylalanine have been confirmed for liver metastasis. For lung metastasis, dUDP, testosterone sulfate, and PE(14:0/20:5) have been established.
{"title":"Proteomic and metabolomic characterization of bone, liver, and lung metastases in plasma of breast cancer patients","authors":"Hui Ye, Xiabo Shen, Yaohan Li, Weibin Zou, Syed Shams ul Hassan, Yue Feng, Xiaojia Wang, Jingkui Tian, Xiying Shao, Yi Tao, Wei Zhu","doi":"10.1002/prca.202300136","DOIUrl":"https://doi.org/10.1002/prca.202300136","url":null,"abstract":"BackgroundBreast cancer (BC) is the second leading cause of cancer‐related deaths among women, primarily due to metastases to other organs rather than the primary tumor.MethodsIn this study, a comprehensive analysis of plasma proteomics and metabolomics was conducted on a cohort of 51 BC patients. Potential biomarkers were screened by the Least Absolute Shrinkage and Selection Operator (LASSO) regression and Random Forest algorithm. Additionally, enzyme‐linked immunosorbent assay (ELISA) kits and untargeted metabolomics were utilized to validate the prognostic biomarkers in an independent cohort.ResultsIn the study, extracellular matrix (ECM)‐related functional enrichments were observed to be enriched in BC cases with bone metastases. Proteins dysregulated in retinol metabolism in liver metastases and leukocyte transendothelial migration in lung metastases were also identified. Machine learning models identified specific biomarker panels for each metastasis type, achieving high diagnostic accuracy with area under the curve (AUC) of 0.955 for bone, 0.941 for liver, and 0.989 for lung metastases.ConclusionsFor bone metastasis, biomarkers such as leucyl‐tryptophan, LysoPC(P‐16:0/0:0), FN1, and HSPG2 have been validated. dUDP, LPE(18:1/0:0), and aspartylphenylalanine have been confirmed for liver metastasis. For lung metastasis, dUDP, testosterone sulfate, and PE(14:0/20:5) have been established.","PeriodicalId":20571,"journal":{"name":"PROTEOMICS – Clinical Applications","volume":"17 1","pages":""},"PeriodicalIF":2.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140603350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-01Epub Date: 2023-10-24DOI: 10.1002/prca.202300040
Alexandre Raynor, Arnaud Bruneel, Pieter Vermeersch, Sophie Cholet, Sebastian Friedrich, Matthias Eckenweiler, Anke Schumann, Simone Hengst, Ali Tunç Tuncel, François Fenaille, Christian Thiel, Daisy Rymen
Purpose: Congenital disorders of glycosylation (CDG) are one of the fastest growing groups of inborn errors of metabolism. Despite the availability of next-generation sequencing techniques and advanced methods for evaluation of glycosylation, CDG screening mainly relies on the analysis of serum transferrin (Tf) by isoelectric focusing, HPLC or capillary electrophoresis. The main pitfall of this screening method is the presence of Tf protein variants within the general population. Although reports describe the role of Tf variants leading to falsely abnormal results, their significance in confounding diagnosis in patients with CDG has not been documented so far. Here, we describe two PMM2-CDG cases, in which Tf variants complicated the diagnostic.
Experimental design: Glycosylation investigations included classical screening techniques (capillary electrophoresis, isoelectric focusing and HPLC of Tf) and various confirmation techniques (two-dimensional electrophoresis, western blot, N-glycome, UPLC-FLR/QTOF MS with Rapifluor). Tf variants were highlighted following neuraminidase treatment. Sequencing of PMM2 was performed.
Results: In both patients, Tf screening pointed to CDG-II, while second-line analyses pointed to CDG-I. Tf variants were found in both patients, explaining these discrepancies. PMM2 causative variants were identified in both patients.
Conclusion and clinical relevance: We suggest that a neuraminidase treatment should be performed when a typical CDG Tf pattern is found upon initial screening analysis.
{"title":"\"Hide and seek\": Misleading transferrin variants in PMM2-CDG complicate diagnostics.","authors":"Alexandre Raynor, Arnaud Bruneel, Pieter Vermeersch, Sophie Cholet, Sebastian Friedrich, Matthias Eckenweiler, Anke Schumann, Simone Hengst, Ali Tunç Tuncel, François Fenaille, Christian Thiel, Daisy Rymen","doi":"10.1002/prca.202300040","DOIUrl":"10.1002/prca.202300040","url":null,"abstract":"<p><strong>Purpose: </strong>Congenital disorders of glycosylation (CDG) are one of the fastest growing groups of inborn errors of metabolism. Despite the availability of next-generation sequencing techniques and advanced methods for evaluation of glycosylation, CDG screening mainly relies on the analysis of serum transferrin (Tf) by isoelectric focusing, HPLC or capillary electrophoresis. The main pitfall of this screening method is the presence of Tf protein variants within the general population. Although reports describe the role of Tf variants leading to falsely abnormal results, their significance in confounding diagnosis in patients with CDG has not been documented so far. Here, we describe two PMM2-CDG cases, in which Tf variants complicated the diagnostic.</p><p><strong>Experimental design: </strong>Glycosylation investigations included classical screening techniques (capillary electrophoresis, isoelectric focusing and HPLC of Tf) and various confirmation techniques (two-dimensional electrophoresis, western blot, N-glycome, UPLC-FLR/QTOF MS with Rapifluor). Tf variants were highlighted following neuraminidase treatment. Sequencing of PMM2 was performed.</p><p><strong>Results: </strong>In both patients, Tf screening pointed to CDG-II, while second-line analyses pointed to CDG-I. Tf variants were found in both patients, explaining these discrepancies. PMM2 causative variants were identified in both patients.</p><p><strong>Conclusion and clinical relevance: </strong>We suggest that a neuraminidase treatment should be performed when a typical CDG Tf pattern is found upon initial screening analysis.</p>","PeriodicalId":20571,"journal":{"name":"PROTEOMICS – Clinical Applications","volume":" ","pages":"e2300040"},"PeriodicalIF":2.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50158637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-01Epub Date: 2023-10-03DOI: 10.1002/prca.202200054
Sumrati Gurtoo, Gayathree Karthikkeyan, Santosh Kumar Behera, Chinmaya Narayana Kotimoole, Mohd Altaf Najar, Prashant Kumar Modi, Sahana Ks, Sneha M Pinto, Arun Ab
Aim: Hypoxic Ischemic Encephalopathy (HIE) is one of the principal causes of neonatal mortality and long-term morbidity worldwide. The neonatal signs of mild cerebral injury are subtle, making an early precise diagnosis difficult. Delayed detection, poor prognosis, and lack of specific biomarkers for the disease are increasing mortality rates. In this study, we intended to identify specific biomarkers using comparative proteomic analysis to predict the severity of perinatal asphyxia so that its outcome can also be prevented.
Experimental design: A case-control study was conducted on 38 neonates, and urine samples were collected within 24 and 72 h of life. A tandem mass spectrometry-based quantitative proteomics approach, followed by validation via sandwich ELISA, was performed.
Results: The LC-MS/MS-based proteomics analysis resulted in the identification of 1201 proteins in urine, with 229, 244, and 426 being differentially expressed in HIE-1, HIE-2, and HIE-3, respectively. Axon guidance, Diseases of programmed cell death, and Detoxification of reactive oxygen species pathways were significantly enriched in mild HIE versus severe HIE. Among the differentially expressed proteins in various stages of HIE, we chose to validate four proteins - APP, AGT, FABP1, and FN1 - via sandwich ELISA. Individual and cumulative ROC curves were plotted. AGT and FABP1 together showed high sensitivity, specificity, and accuracy as potential biomarkers for early diagnosis of HIE.
Conclusion: Establishing putative urinary biomarkers will facilitate clinicians to more accurately screen neonates for brain injury and monitor the disease progression. Prompt treatment of neonates may reduce mortality and neurodevelopmental impairment.
{"title":"A comparative proteomic analysis for non-invasive early prediction of hypoxic-ischemic injury in asphyxiated neonates.","authors":"Sumrati Gurtoo, Gayathree Karthikkeyan, Santosh Kumar Behera, Chinmaya Narayana Kotimoole, Mohd Altaf Najar, Prashant Kumar Modi, Sahana Ks, Sneha M Pinto, Arun Ab","doi":"10.1002/prca.202200054","DOIUrl":"10.1002/prca.202200054","url":null,"abstract":"<p><strong>Aim: </strong>Hypoxic Ischemic Encephalopathy (HIE) is one of the principal causes of neonatal mortality and long-term morbidity worldwide. The neonatal signs of mild cerebral injury are subtle, making an early precise diagnosis difficult. Delayed detection, poor prognosis, and lack of specific biomarkers for the disease are increasing mortality rates. In this study, we intended to identify specific biomarkers using comparative proteomic analysis to predict the severity of perinatal asphyxia so that its outcome can also be prevented.</p><p><strong>Experimental design: </strong>A case-control study was conducted on 38 neonates, and urine samples were collected within 24 and 72 h of life. A tandem mass spectrometry-based quantitative proteomics approach, followed by validation via sandwich ELISA, was performed.</p><p><strong>Results: </strong>The LC-MS/MS-based proteomics analysis resulted in the identification of 1201 proteins in urine, with 229, 244, and 426 being differentially expressed in HIE-1, HIE-2, and HIE-3, respectively. Axon guidance, Diseases of programmed cell death, and Detoxification of reactive oxygen species pathways were significantly enriched in mild HIE versus severe HIE. Among the differentially expressed proteins in various stages of HIE, we chose to validate four proteins - APP, AGT, FABP1, and FN1 - via sandwich ELISA. Individual and cumulative ROC curves were plotted. AGT and FABP1 together showed high sensitivity, specificity, and accuracy as potential biomarkers for early diagnosis of HIE.</p><p><strong>Conclusion: </strong>Establishing putative urinary biomarkers will facilitate clinicians to more accurately screen neonates for brain injury and monitor the disease progression. Prompt treatment of neonates may reduce mortality and neurodevelopmental impairment.</p>","PeriodicalId":20571,"journal":{"name":"PROTEOMICS – Clinical Applications","volume":" ","pages":"e2200054"},"PeriodicalIF":2.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41125935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-01Epub Date: 2023-11-07DOI: 10.1002/prca.202300072
Michal Alexovič, Csilla Uličná, Ján Sabo, Katarina Davalieva
Purpose: The discovery of specific and sensitive disease-associated biomarkers for early diagnostic purposes of many diseases is still highly challenging due to various complex molecular mechanisms triggered, high variability of disease-related interactions, and an overlap of manifestations among diseases. Human peripheral blood mononuclear cells (PBMCs) contain protein signatures corresponding to essential immunological interplay. Certain diseases stimulate PBMCs and contribute towards modulation of their proteome which can be effectively identified and evaluated via the comparative proteomics approach.
Experimental design: In this review, we made a detailed survey of the PBMCS-derived protein biomarker candidates for a variety of diseases, published in the last 15 years. Articles were preselected to include only comparative proteomics studies.
Results: PBMC-derived biomarkers were investigated for cancer, glomerular, neurodegenerative/neurodevelopmental, psychiatric, chronic inflammatory, autoimmune, endocrinal, infectious, and other diseases. A detailed review of these studies encompassed the proteomics platforms, proposed candidate biomarkers, their immune cell type specificity, and potential clinical application.
Conclusions: Overall, PBMCs have shown a solid potential in giving early diagnostic and prognostic biomarkers for many diseases. The future of PBMC biomarker research should reveal its full potential through well-designed comparative studies and extensive testing of the most promising protein biomarkers identified so far.
{"title":"Human peripheral blood mononuclear cells as a valuable source of disease-related biomarkers: Evidence from comparative proteomics studies.","authors":"Michal Alexovič, Csilla Uličná, Ján Sabo, Katarina Davalieva","doi":"10.1002/prca.202300072","DOIUrl":"10.1002/prca.202300072","url":null,"abstract":"<p><strong>Purpose: </strong>The discovery of specific and sensitive disease-associated biomarkers for early diagnostic purposes of many diseases is still highly challenging due to various complex molecular mechanisms triggered, high variability of disease-related interactions, and an overlap of manifestations among diseases. Human peripheral blood mononuclear cells (PBMCs) contain protein signatures corresponding to essential immunological interplay. Certain diseases stimulate PBMCs and contribute towards modulation of their proteome which can be effectively identified and evaluated via the comparative proteomics approach.</p><p><strong>Experimental design: </strong>In this review, we made a detailed survey of the PBMCS-derived protein biomarker candidates for a variety of diseases, published in the last 15 years. Articles were preselected to include only comparative proteomics studies.</p><p><strong>Results: </strong>PBMC-derived biomarkers were investigated for cancer, glomerular, neurodegenerative/neurodevelopmental, psychiatric, chronic inflammatory, autoimmune, endocrinal, infectious, and other diseases. A detailed review of these studies encompassed the proteomics platforms, proposed candidate biomarkers, their immune cell type specificity, and potential clinical application.</p><p><strong>Conclusions: </strong>Overall, PBMCs have shown a solid potential in giving early diagnostic and prognostic biomarkers for many diseases. The future of PBMC biomarker research should reveal its full potential through well-designed comparative studies and extensive testing of the most promising protein biomarkers identified so far.</p>","PeriodicalId":20571,"journal":{"name":"PROTEOMICS – Clinical Applications","volume":" ","pages":"e2300072"},"PeriodicalIF":2.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71485207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-01Epub Date: 2023-08-13DOI: 10.1002/prca.202300004
Yilin Pan, Christine Yim-Ping Wong, Haiying Ma, Ryan Tsz-Hei Tse, Carol Ka-Lo Cheng, Miaomiao Tan, Peter Ka-Fung Chiu, Jeremy Yuen-Chun Teoh, Xin Wang, Chi-Fai Ng, Liang Zhang
Purpose: Urine proteome is a valuable reservoir of biomarkers for disease diagnosis and monitoring. Following formation as the plasma filtrate in the kidney, urine is progressively modified by the active reabsorption and secretion of the urinary tract. However, little is known about how the urine proteome changes as it passes along the urinary tract.
Experimental design: To investigate this, we compared the proteome composition of the renal pelvis urine (RPU) and individually self-voided bladder urine (BU) collected from seven unilateral urinary tract obstruction male patients by LC-MS/MS screening. To our knowledge, this is the first proteomic comparison of RPU and BU samples from the same individual.
Results: Overall, RPU and BU proteomes did not exhibit proteins that were exclusively present in all samples of one urine type while in none of the other type. Nonetheless, BU had more overrepresented proteins that were observed at a higher frequency than RPU. Label-free quantitative analyses revealed BU-RPU differential proteins that are enriched in exosomes and extracellular proteins. However, the differences were not significant after corrections for multiple testing. Interestingly, we observed a significant increase of collagen peptides with hydroxyproline modifications in the BU samples, suggesting differences in protein modifications.
Conclusions and clinical relevance: Our study revealed no substantial differences at the protein level between the BU and RPU samples. Future investigations with expanded cohorts would provide more insights about the urothelial-urinary interactions.
目的:尿液蛋白质组是诊断和监测疾病的宝贵生物标志物库。尿液在肾脏中形成血浆滤液后,会通过泌尿道的主动重吸收和分泌而逐渐改变。然而,人们对尿液沿泌尿道排出时尿液蛋白质组的变化知之甚少:为了研究这个问题,我们通过 LC-MS/MS 筛选比较了从七名单侧尿路梗阻男性患者处收集的肾盂尿(RPU)和单独自排的膀胱尿(BU)的蛋白质组组成。据我们所知,这是首次对同一患者的肾盂尿和膀胱尿样本进行蛋白质组学比较:结果:总体而言,RPU 和 BU 蛋白质组并没有出现一种尿液样本中所有蛋白质都存在,而另一种尿液样本中却没有的情况。尽管如此,BU 蛋白质组中有更多的高代表性蛋白质,其出现频率高于 RPU。无标记定量分析显示,BU-RPU 差异蛋白质富含外泌体和细胞外蛋白质。然而,经多重检验校正后,差异并不显著。有趣的是,我们观察到 BU 样本中具有羟脯氨酸修饰的胶原肽明显增加,这表明蛋白质修饰存在差异:我们的研究表明,BU 和 RPU 样本在蛋白质水平上没有实质性差异。未来扩大样本群的研究将为尿路-泌尿系统相互作用提供更多信息。
{"title":"Quantitative comparison of the renal pelvic urine and bladder urine to examine modifications of the urine proteome by the lower urinary tract.","authors":"Yilin Pan, Christine Yim-Ping Wong, Haiying Ma, Ryan Tsz-Hei Tse, Carol Ka-Lo Cheng, Miaomiao Tan, Peter Ka-Fung Chiu, Jeremy Yuen-Chun Teoh, Xin Wang, Chi-Fai Ng, Liang Zhang","doi":"10.1002/prca.202300004","DOIUrl":"10.1002/prca.202300004","url":null,"abstract":"<p><strong>Purpose: </strong>Urine proteome is a valuable reservoir of biomarkers for disease diagnosis and monitoring. Following formation as the plasma filtrate in the kidney, urine is progressively modified by the active reabsorption and secretion of the urinary tract. However, little is known about how the urine proteome changes as it passes along the urinary tract.</p><p><strong>Experimental design: </strong>To investigate this, we compared the proteome composition of the renal pelvis urine (RPU) and individually self-voided bladder urine (BU) collected from seven unilateral urinary tract obstruction male patients by LC-MS/MS screening. To our knowledge, this is the first proteomic comparison of RPU and BU samples from the same individual.</p><p><strong>Results: </strong>Overall, RPU and BU proteomes did not exhibit proteins that were exclusively present in all samples of one urine type while in none of the other type. Nonetheless, BU had more overrepresented proteins that were observed at a higher frequency than RPU. Label-free quantitative analyses revealed BU-RPU differential proteins that are enriched in exosomes and extracellular proteins. However, the differences were not significant after corrections for multiple testing. Interestingly, we observed a significant increase of collagen peptides with hydroxyproline modifications in the BU samples, suggesting differences in protein modifications.</p><p><strong>Conclusions and clinical relevance: </strong>Our study revealed no substantial differences at the protein level between the BU and RPU samples. Future investigations with expanded cohorts would provide more insights about the urothelial-urinary interactions.</p>","PeriodicalId":20571,"journal":{"name":"PROTEOMICS – Clinical Applications","volume":" ","pages":"e2300004"},"PeriodicalIF":2.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9990697","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-03-01Epub Date: 2024-01-31DOI: 10.1002/prca.202300053
Hung M Vu, Sunghyun Huh, Jun Hyung Lee, Seung Hyeun Lee, Min-Sik Kim
Purpose: Advances in mass spectrometry-based quantitative proteomic analysis have successfully demonstrated the in-depth detection of protein biomarkers in bronchoalveolar lavage fluid (BALF) from patients with lung cancers. Recently, ion mobility technology was incorporated into the mass spectrometers escalating the sensitivity and throughput. Utilizing these advantages, herein, we employed the parallel accumulation-serial fragmentation (PASEF) implanted in a timsTOF Pro mass spectrometer to examine the alteration of BALF proteomes in patients with nonsmall cell lung cancers (NSCLCs).
Experimental design: BALF proteins were processed from patients with NSCLC and analyzed in a timsTOF Pro mass spectrometer with the PASEF method using a peptide input of 100 ng. Label-free mass spectrometry data were analyzed in the FragPipe platform.
Results: We quantitated over 1400 proteins from a single injection of 100 ng of peptides per sample with a median of ∼2000 proteins. We were able to find a few potential biomarker proteins upregulated in NSCLC.
Conclusions and clinical relevance: The alterations of the BALF proteome landscape vary among patients with NSCLC as previously observed in patients with small-cell lung cancers. The PASEF method has significantly enhanced the sensitivity and throughput, demonstrating its effectiveness in clinical research and application.
{"title":"Parallel accumulation-serial fragmentation method for in-depth proteomic analysis of bronchoalveolar lavage fluid collected from patients with nonsmall cell lung cancer.","authors":"Hung M Vu, Sunghyun Huh, Jun Hyung Lee, Seung Hyeun Lee, Min-Sik Kim","doi":"10.1002/prca.202300053","DOIUrl":"10.1002/prca.202300053","url":null,"abstract":"<p><strong>Purpose: </strong>Advances in mass spectrometry-based quantitative proteomic analysis have successfully demonstrated the in-depth detection of protein biomarkers in bronchoalveolar lavage fluid (BALF) from patients with lung cancers. Recently, ion mobility technology was incorporated into the mass spectrometers escalating the sensitivity and throughput. Utilizing these advantages, herein, we employed the parallel accumulation-serial fragmentation (PASEF) implanted in a timsTOF Pro mass spectrometer to examine the alteration of BALF proteomes in patients with nonsmall cell lung cancers (NSCLCs).</p><p><strong>Experimental design: </strong>BALF proteins were processed from patients with NSCLC and analyzed in a timsTOF Pro mass spectrometer with the PASEF method using a peptide input of 100 ng. Label-free mass spectrometry data were analyzed in the FragPipe platform.</p><p><strong>Results: </strong>We quantitated over 1400 proteins from a single injection of 100 ng of peptides per sample with a median of ∼2000 proteins. We were able to find a few potential biomarker proteins upregulated in NSCLC.</p><p><strong>Conclusions and clinical relevance: </strong>The alterations of the BALF proteome landscape vary among patients with NSCLC as previously observed in patients with small-cell lung cancers. The PASEF method has significantly enhanced the sensitivity and throughput, demonstrating its effectiveness in clinical research and application.</p>","PeriodicalId":20571,"journal":{"name":"PROTEOMICS – Clinical Applications","volume":" ","pages":"e2300053"},"PeriodicalIF":2.0,"publicationDate":"2024-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139651548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}