Journal of Proteome Research最新文献_第3页

Evaluation of Peri-Implantitis through Fourier-Transform Infrared Spectroscopy on Saliva. 唾液的傅里叶变换红外光谱评价种植体周围炎。

IF 3.8 2区生物学

Journal of Proteome Research Pub Date : 2025-01-10 DOI: 10.1021/acs.jproteome.4c00707

Graziele Parize, Gabrielle Luana Jimenez, Jamil Awad Shibli, Rafael Siroma, Matheus Willian Caetano, Yeon Jung Kim, Paulo Henrique Braz-Silva, Herculano da Silva Martinho, Debora Pallos

{"title":"Evaluation of Peri-Implantitis through Fourier-Transform Infrared Spectroscopy on Saliva.","authors":"Graziele Parize, Gabrielle Luana Jimenez, Jamil Awad Shibli, Rafael Siroma, Matheus Willian Caetano, Yeon Jung Kim, Paulo Henrique Braz-Silva, Herculano da Silva Martinho, Debora Pallos","doi":"10.1021/acs.jproteome.4c00707","DOIUrl":"10.1021/acs.jproteome.4c00707","url":null,"abstract":"Background: Peri-implantitis is characterized as a pathological change in the tissues around dental implants. Fourier-transform infrared spectroscopy (FTIR) provides molecular information from optical phenomena observed by the vibration of molecules, which is used in biological studies to characterize changes and serves as a form of diagnosis.Aims: this case-control study evaluated the peri-implant disease by using FTIR spectroscopy with attenuated total reflectance in the fingerprint region.Methods: 38 saliva samples were evaluated, 17 from the control group and 21 from the peri-implantitis group. Clinical data such as plaque index (PI), gingival index, probing depth (PS), and attachment level were assessed.Results: The results of clinical parameters showed a statistical difference between the two groups regarding an excess of the PI. In the FTIR-ATR analysis, the main components revealed vibrational modes of fatty acids, histidine, lipid esters, nucleic acids, and tryptophan, with the main molecules contributing to spectral discrimination. The five-component partial least-squares discriminant analysis classification model had an accuracy of 81%, showing differences between healthy and diseased implants.Conclusion: the FTIR spectroscopy provides important molecular characteristics of the samples and the results in association with clinical data show the effectiveness of using this tool for diagnosing the disease.","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142962038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Correction to "Molecular-Level Dysregulation of Insulin Pathways and Inflammatory Processes in Peripheral Blood Mononuclear Cells by Circadian Misalignment". 更正“外周血单核细胞中胰岛素通路和炎症过程的分子水平失调与昼夜节律失调”。

IF 3.8 2区生物学

Journal of Proteome Research Pub Date : 2025-01-09 DOI: 10.1021/acs.jproteome.5c00004

Jason E McDermott, Jon M Jacobs, Nathaniel J Merrill, Hugh Mitchell, Osama A Arshad, Ryan McClure, Justin Teeguarden, Rajendra P Gajula, Kenneth I Porter, Brieann C Satterfield, Kirsie R Lundholm, Debra J Skene, Shobhan Gaddameedhi, Hans P A Van Dongen

引用次数: 0

Exploring the Tomato Root Protein Network Exploited by Core Type 3 Effectors from the Ralstonia solanacearum Species Complex. 利用番茄雷氏菌（Ralstonia solanacearum）物种复合体核心3型效应物开发的番茄根蛋白网络研究

IF 3.8 2区生物学

Journal of Proteome Research Pub Date : 2025-01-09 DOI: 10.1021/acs.jproteome.4c00757

Joren De Ryck, Veronique Jonckheere, Brigitte De Paepe, Annick De Keyser, Nemo Peeters, Johan Van Vaerenbergh, Jane Debode, Petra Van Damme, Sofie Goormachtig

{"title":"Exploring the Tomato Root Protein Network Exploited by Core Type 3 Effectors from the Ralstonia solanacearum Species Complex.","authors":"Joren De Ryck, Veronique Jonckheere, Brigitte De Paepe, Annick De Keyser, Nemo Peeters, Johan Van Vaerenbergh, Jane Debode, Petra Van Damme, Sofie Goormachtig","doi":"10.1021/acs.jproteome.4c00757","DOIUrl":"https://doi.org/10.1021/acs.jproteome.4c00757","url":null,"abstract":"Proteomics has become a powerful approach for the identification and characterization of type III effectors (T3Es). Members of the Ralstonia solanacearum species complex (RSSC) deploy T3Es to manipulate host cells and to promote root infection of, among others, a wide range of solanaceous plants such as tomato, potato, and tobacco. Here, we used TurboID-mediated proximity labeling (PL) in tomato hairy root cultures to explore the proxeomes of the core RSSC T3Es RipU, RipD, and RipB. The RipU proxeome was enriched for multiple protein kinases, suggesting a potential impact on the two branches of the plant immune surveillance system, being the membrane-localized PAMP-triggered immunity (PTI) and the RIN4-dependent effector-triggered immunity (ETI) complexes. In agreement, a transcriptomics analysis in tomato revealed the potential involvement of RipU in modulating reactive oxygen species (ROS) signaling. The proxeome of RipB was putatively enriched for mitochondrial and chloroplast proteins and that of RipD for proteins potentially involved in the endomembrane system. Together, our results demonstrate that TurboID-PL in tomato hairy roots represents a promising tool to study Ralstonia T3E targets and functioning and that it can unravel potential host processes that can be hijacked by the bacterial pathogen.","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941485","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparative Analysis of Transcriptomic and Proteomic Expression between Two Non-Small Cell Lung Cancer Subtypes. 两种非小细胞肺癌亚型转录组学和蛋白质组学表达的比较分析。

IF 3.8 2区生物学

Journal of Proteome Research Pub Date : 2025-01-08 DOI: 10.1021/acs.jproteome.4c00773

Ben Nicholas, Alistair Bailey, Katy J McCann, Peter Johnson, Tim Elliott, Christian Ottensmeier, Paul Skipp

{"title":"Comparative Analysis of Transcriptomic and Proteomic Expression between Two Non-Small Cell Lung Cancer Subtypes.","authors":"Ben Nicholas, Alistair Bailey, Katy J McCann, Peter Johnson, Tim Elliott, Christian Ottensmeier, Paul Skipp","doi":"10.1021/acs.jproteome.4c00773","DOIUrl":"https://doi.org/10.1021/acs.jproteome.4c00773","url":null,"abstract":"Non-small cell lung cancer (NSCLC) is frequently diagnosed late and has poor survival. The two predominant subtypes of NSCLC, adenocarcinoma (LUAD) and squamous cell carcinoma (LUSC), are currently differentially diagnosed using immunohistochemical markers; however, they are increasingly recognized as very different cancer types suggestive of potential for new, more targeted therapies. There are extensive efforts to find more precise and noninvasive differential diagnostic tools. Here, we examined these two NSCLC subtypes for differences that may inform treatment and identify potential novel therapeutic pathways. We presented a comparative analysis of transcriptomic and proteomic expression in tumors from a cohort of 22 NSCLC patients: 8 LUSC and 14 LUAD. Comparing NSCLC subtypes, we found differential gene expression related to cell differentiation for LUSC and cellular structure and immune response regulation for LUAD. Differential protein expression between NSCLC subtypes was related to extracellular structure for LUSC and metabolic processes, including glucose metabolism for LUAD. This direct comparison was more informative about subtype-specific pathways than between each subtype and control (nontumor) tissues. Many of our observations between NSCLC subtypes support and inform existing observations and reveal differences that may aid research seeking to identify and validate novel subtype biomarkers or druggable targets.","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Quantitative Analysis of Nonhistone Lysine Methylation Sites and Lysine Demethylases in Breast Cancer Cell Lines. 乳腺癌细胞系非组蛋白赖氨酸甲基化位点和赖氨酸去甲基化酶的定量分析。

IF 3.8 2区生物学

Journal of Proteome Research Pub Date : 2025-01-08 DOI: 10.1021/acs.jproteome.4c00685

Christine A Berryhill, Taylor N Evans, Emma H Doud, Whitney R Smith-Kinnaman, Jocelyne N Hanquier, Amber L Mosley, Evan M Cornett

{"title":"Quantitative Analysis of Nonhistone Lysine Methylation Sites and Lysine Demethylases in Breast Cancer Cell Lines.","authors":"Christine A Berryhill, Taylor N Evans, Emma H Doud, Whitney R Smith-Kinnaman, Jocelyne N Hanquier, Amber L Mosley, Evan M Cornett","doi":"10.1021/acs.jproteome.4c00685","DOIUrl":"10.1021/acs.jproteome.4c00685","url":null,"abstract":"Growing evidence shows that lysine methylation is a widespread protein post-translational modification (PTM) that regulates protein function on histone and nonhistone proteins. Numerous studies have demonstrated that the dysregulation of lysine methylation mediators contributes to cancer growth and chemotherapeutic resistance. While changes in histone methylation are well-documented with extensive analytical techniques available, there is a lack of high-throughput methods to reproducibly quantify changes in the abundances of the mediators of lysine methylation and nonhistone lysine methylation (Kme) simultaneously across multiple samples. Recent studies by our group and others have demonstrated that antibody enrichment is not required to detect lysine methylation, prompting us to investigate the use of tandem mass tag (TMT) labeling for global Kme quantification without antibody enrichment in four different breast cancer cell lines (MCF-7, MDA-MB-231, HCC1806, and MCF10A). To improve the quantification of KDMs, we incorporated a lysine demethylase (KDM) isobaric trigger channel, which enabled 96% of all KDMs to be quantified while simultaneously quantifying 326 Kme sites. Overall, 142 differentially abundant Kme sites and eight differentially abundant KDMs were identified among the four cell lines, revealing cell line-specific patterning.","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941489","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

PTMVision: An Interactive Visualization Webserver for Post-translational Modifications of Proteins. PTMVision：一个用于蛋白质翻译后修饰的交互式可视化web服务器。

IF 3.8 2区生物学

Journal of Proteome Research Pub Date : 2025-01-08 DOI: 10.1021/acs.jproteome.4c00679

Simon Hackl, Caroline Jachmann, Mathias Witte Paz, Theresa Anisja Harbig, Lennart Martens, Kay Nieselt

{"title":"PTMVision: An Interactive Visualization Webserver for Post-translational Modifications of Proteins.","authors":"Simon Hackl, Caroline Jachmann, Mathias Witte Paz, Theresa Anisja Harbig, Lennart Martens, Kay Nieselt","doi":"10.1021/acs.jproteome.4c00679","DOIUrl":"https://doi.org/10.1021/acs.jproteome.4c00679","url":null,"abstract":"Recent improvements in methods and instruments used in mass spectrometry have greatly enhanced the detection of protein post-translational modifications (PTMs). On the computational side, the adoption of open modification search strategies now allows for the identification of a wide variety of PTMs, potentially revealing hundreds to thousands of distinct modifications in biological samples. While the observable part of the proteome is continuously growing, the visualization and interpretation of this vast amount of data in a comprehensive fashion is not yet possible. There is a clear need for methods to easily investigate the PTM landscape and to thoroughly examine modifications on proteins of interest from acquired mass spectrometry data. We present PTMVision, a web server providing an intuitive and simple way to interactively explore PTMs identified in mass spectrometry-based proteomics experiments and to analyze the modification sites of proteins within relevant context. It offers a variety of tools to visualize the PTM landscape from different angles and at different levels, such as 3D structures and contact maps, UniMod classification summaries, and site specific overviews. The web server's user-friendly interface ensures accessibility across diverse scientific backgrounds. PTMVision is available at https://ptmvision-tuevis.cs.uni-tuebingen.de/.","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941488","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Fisetin Alleviates d-Galactose-Induced Senescence in C2C12 Myoblasts: Metabolic and Gene Regulatory Mechanisms. 非西汀缓解d-半乳糖诱导的C2C12成肌细胞衰老：代谢和基因调控机制。

IF 3.8 2区生物学

Journal of Proteome Research Pub Date : 2025-01-08 DOI: 10.1021/acs.jproteome.4c00939

Yue Zhang, Wenfang Wu, Caihua Huang, Donghai Lin

{"title":"Fisetin Alleviates d-Galactose-Induced Senescence in C2C12 Myoblasts: Metabolic and Gene Regulatory Mechanisms.","authors":"Yue Zhang, Wenfang Wu, Caihua Huang, Donghai Lin","doi":"10.1021/acs.jproteome.4c00939","DOIUrl":"https://doi.org/10.1021/acs.jproteome.4c00939","url":null,"abstract":"Skeletal muscle aging poses a major threat to the health and quality of life of elderly individuals. Fisetin, a natural polyphenolic compound, exhibits various biological activities; however, its role in preventing skeletal muscle cell aging is still unclear. This study aimed to elucidate the effects of fisetin on skeletal muscle aging using a d-galactose-induced C2C12 myoblast senescence model. Fisetin treatment effectively ameliorated d-galactose-induced aging damage and restored cellular functionality by improving cell viability, reducing the accumulation of the senescence marker enzyme SA-β-gal, and decreasing the expression of key aging marker proteins, p16 and p53. NMR-based metabolomics and RNA-seq transcriptomics analyses revealed that fisetin regulates several critical metabolic pathways, including glutathione metabolism, glycine, serine and threonine metabolism, as well as taurine and hypotaurine metabolism. This regulation led to the restoration of amino acid metabolism, stabilization of cellular energy homeostasis, and the preservation of membrane integrity. In addition, fisetin inhibited calcium signaling and JAK-STAT pathways, reduced cellular stress responses and reversed senescence-induced cell cycle arrest. Together, these findings highlight the potential of fisetin as a therapeutic agent to combat skeletal muscle aging and restore cellular homeostasis, offering a promising avenue for the development of antiaging treatments for skeletal muscle degeneration.","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

MAGPIE: A Machine Learning Approach to Decipher Protein-Protein Interactions in Human Plasma. MAGPIE：一种机器学习方法来破译人类血浆中蛋白质-蛋白质相互作用。

IF 3.8 2区生物学

Journal of Proteome Research Pub Date : 2025-01-07 DOI: 10.1021/acs.jproteome.4c00160

Emily Hashimoto-Roth, Diane Forget, Vanessa P Gaspar, Steffany A L Bennett, Marie-Soleil Gauthier, Benoit Coulombe, Mathieu Lavallée-Adam

{"title":"MAGPIE: A Machine Learning Approach to Decipher Protein-Protein Interactions in Human Plasma.","authors":"Emily Hashimoto-Roth, Diane Forget, Vanessa P Gaspar, Steffany A L Bennett, Marie-Soleil Gauthier, Benoit Coulombe, Mathieu Lavallée-Adam","doi":"10.1021/acs.jproteome.4c00160","DOIUrl":"10.1021/acs.jproteome.4c00160","url":null,"abstract":"Immunoprecipitation coupled to tandem mass spectrometry (IP-MS/MS) methods are often used to identify protein-protein interactions (PPIs). While these approaches are prone to false positive identifications through contamination and antibody nonspecific binding, their results can be filtered using negative controls and computational modeling. However, such filtering does not effectively detect false-positive interactions when IP-MS/MS is performed on human plasma samples. Therein, proteins cannot be overexpressed or inhibited, and existing modeling algorithms are not adapted for execution without such controls. Hence, we introduce MAGPIE, a novel machine learning-based approach for identifying PPIs in human plasma using IP-MS/MS, which leverages negative controls that include antibodies targeting proteins not expected to be present in human plasma. A set of negative controls used for false positive interaction modeling is first constructed. MAGPIE then assesses the reliability of PPIs detected in IP-MS/MS experiments using antibodies that target known plasma proteins. When applied to five IP-MS/MS experiments as a proof of concept, our algorithm identified 68 PPIs with an FDR of 20.77%. MAGPIE significantly outperformed a state-of-the-art PPI discovery tool and identified known and predicted PPIs. Our approach provides an unprecedented ability to detect human plasma PPIs, which enables a better understanding of biological processes in plasma.","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Assessment of Humoral Response at SARS-CoV-2 Infection by Multipronged Functional Proteomics Approaches. 多管齐下功能蛋白质组学方法评估SARS-CoV-2感染的体液反应

IF 3.8 2区生物学

Journal of Proteome Research Pub Date : 2025-01-07 DOI: 10.1021/acs.jproteome.4c00635

Pablo Juanes-Velasco, Juan Carlos Pérez-Arévalo, Carlota Arias-Hidalgo, Ana Nuño-Soriano, Alicia Landeira-Viñuela, Fernando Corrales, David Bernardo, Sara Cuesta-Sancho, Silvia Rojo-Rello, Quentin Lécrevisse, Rafael Góngora, José Manuel Sánchez-Santos, Javier De Las Rivas, Ángela-Patricia Hernández, Manuel Fuentes

{"title":"Assessment of Humoral Response at SARS-CoV-2 Infection by Multipronged Functional Proteomics Approaches.","authors":"Pablo Juanes-Velasco, Juan Carlos Pérez-Arévalo, Carlota Arias-Hidalgo, Ana Nuño-Soriano, Alicia Landeira-Viñuela, Fernando Corrales, David Bernardo, Sara Cuesta-Sancho, Silvia Rojo-Rello, Quentin Lécrevisse, Rafael Góngora, José Manuel Sánchez-Santos, Javier De Las Rivas, Ángela-Patricia Hernández, Manuel Fuentes","doi":"10.1021/acs.jproteome.4c00635","DOIUrl":"https://doi.org/10.1021/acs.jproteome.4c00635","url":null,"abstract":"In the past decade, a major goal in biomedical research has been to understand why individuals differ in disease susceptibility, disease dynamics, and progression. In many pathologies, this variability stems from evolved immune mechanisms that resist inflammatory stress from various diseases that have been encountered throughout life. These may provide advantages against other diseases, reduce comorbidities, and enhance longevity. This study evaluates prior immunity as a prognostic factor in COVID-19 patients, crucial for understanding plasmatic signaling cascades in different disease stages and their impact on disease progression. COVID-19, caused by SARS-CoV-2, primarily affects the respiratory system and presents a wide range of symptoms, posing significant challenges to medicine. This study systematically analyzed prior immunity and inflammation in two independent cohorts of infected patients. A serological profile is determined by protein microarrays, which identify IgM and IgG responses against 37 prevalent microbial pathogens and provide a comprehensive plasma analysis of 21 acute-phase proteins. Our results reveal distinct serological profiles correlating with disease severity, indicating that immune system dysregulation in COVID-19 patients is linked to existing immunity. These findings highlight the relevance of prior immunity for monitoring disease progression, particularly in infections and vaccine failure, and underscore the importance of functional proteomics in determining prognostic biomarkers.","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Plasma Proteomics-Based Model for Identifying the Risk of Postpartum Depression Using Machine Learning. 使用机器学习识别产后抑郁症风险的血浆蛋白质组学模型

IF 3.8 2区生物学

Journal of Proteome Research Pub Date : 2025-01-07 DOI: 10.1021/acs.jproteome.4c00826

Shusheng Wang, Ru Xu, Gang Li, Songping Liu, Jie Zhu, Pengfei Gao

{"title":"A Plasma Proteomics-Based Model for Identifying the Risk of Postpartum Depression Using Machine Learning.","authors":"Shusheng Wang, Ru Xu, Gang Li, Songping Liu, Jie Zhu, Pengfei Gao","doi":"10.1021/acs.jproteome.4c00826","DOIUrl":"https://doi.org/10.1021/acs.jproteome.4c00826","url":null,"abstract":"Postpartum depression (PPD) poses significant risks to maternal and infant health, yet proteomic analyses of PPD-risk women remain limited. This study analyzed plasma samples from 30 healthy postpartum women and 30 PPD-risk women using mass spectrometry, identifying 98 differentially expressed proteins (29 upregulated and 69 downregulated). Principal component analysis revealed distinct protein expression profiles between the groups. Functional enrichment and PPI analyses further explored the biological functions of these proteins. Machine learning models (XGBoost and LASSO regression) identified 17 key proteins, with the optimal logistic regression model comprising P13797 (PLS3), P56750 (CLDN17), O43173 (ST8SIA3), P01593 (IGKV1D-33), and P43243 (MATR3). The model demonstrated excellent predictive performance through ROC curves, calibration, and decision curves. These findings suggest potential biomarkers for early PPD risk assessment, paving the way for personalized prediction. However, limitations include the lack of diagnostic interviews, such as the Structured Clinical Interview for DSM-V (SCID), to confirm PPD diagnosis, a small sample size, and limited ethnic diversity, affecting generalizability. Future studies should expand sample diversity, confirm diagnoses with SCID, and validate biomarkers in larger cohorts to ensure their clinical applicability.","PeriodicalId":48,"journal":{"name":"Journal of Proteome Research","volume":" ","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142941397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0