4.7 Article

Changes in IgG and total plasma protein glycomes in acute systemic inflammation

期刊

SCIENTIFIC REPORTS
卷 4, 期 -, 页码 -

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/srep04347

关键词

-

资金

  1. European Union's Seventh Framework Programme GlycoBioM [259869]
  2. HighGlycan [278535]
  3. IBD-BIOM [305479]
  4. MIMOmics [305280]
  5. IntegraLife [315997]

向作者/读者索取更多资源

Recovery after cardiac surgery is a complex process that has to compensate for both individual variability and extensive tissue damage in the context of systemic inflammation. Protein glycosylation is essential in many steps of the inflammatory cascade, but due to technological limitations the role of individual variation in glycosylation in systemic inflammation has not been addressed until now. We analysed composition of the total plasma and IgG N-glycomes in 107 patients undergoing cardiac surgery. In nearly all individuals plasma N-glycome underwent the same pattern of changes in the first 72 h, revealing a general mechanism of glycosylation changes. To the contrary, changes in the IgG glycome were very individualized. Bi-clustering analysis revealed the existence of four distinct patterns of changes. One of them, characterized by a rapid increase in galactosylated glycoforms, was associated with nearly double mortality risk measured by EuroSCORE II. Our results indicate that individual variation in IgG glycosylation changes during acute systemic inflammation associates with increased mortality risk and indicates new avenues for the development of personalized diagnostic and therapeutic approach.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

Article Chemistry, Multidisciplinary

Characterization of Pupillary Light Response Features for the Classification of Patients with Optic Neuritis

Stefano Polizzi, Nico Curti, Lorenzo Dall'Olio, Laura Cercenelli, Luigi Fontana, Nicola Valsecchi, Emanuela Marcelli, Gastone Castellani, Piera Versura

Summary: Pupillometry is a promising technique for the diagnosis of neurological pathologies. In this work, advanced signal processing techniques and physics methods were applied to extract features from pupillometric curves obtained from 12 subjects. Machine learning techniques were used for classification between Optic Neuritis (ON) and healthy subjects, with an average accuracy of 76%. A possible neurological interpretation of the extracted pupillometry features in relation to ON vs. Healthy classification was provided.

APPLIED SCIENCES-BASEL (2023)

Article Chemistry, Multidisciplinary

Machine Learning Pipeline for the Automated Prediction of MicrovascularInvasion in HepatocellularCarcinomas

Riccardo Biondi, Matteo Renzulli, Rita Golfieri, Nico Curti, Gianluca Carlini, Claudia Sala, Enrico Giampieri, Daniel Remondini, Giulio Vara, Arrigo Cattabriga, Maria Adriana Cocozza, Luigi Vincenzo Pastore, Nicolo Brandi, Antonino Palmeri, Leonardo Scarpetti, Gaia Tanzarella, Matteo Cescon, Matteo Ravaioli, Gastone Castellani, Francesca Coppola

Summary: This study evaluated the possibility of using radiomic features to predict the presence/absence of microvascular invasion (MVI) in hepatocellular carcinoma liver tumors. The results showed that radiomic features from the tumor region of contrast-enhanced computed tomography (CECT) images had good predictive performance for MVI.

APPLIED SCIENCES-BASEL (2023)

Article Chemistry, Analytical

Correlative Fluorescence and Raman Microscopy to Define Mitotic Stages at the Single-Cell Level: Opportunities and Limitations in the AI Era

Csaba Voros, David Bauer, Ede Migh, Istvan Grexa, Attila Gergely Vegh, Balazs Szalontai, Gastone Castellani, Tivadar Danka, Saso Dzeroski, Krisztian Koos, Filippo Piccinini, Peter Horvath

Summary: Nowadays, morphology and molecular analyses at the single-cell level have a fundamental role in understanding biology better. These methods are utilized for cell phenotyping and in-depth studies of cellular processes, such as mitosis. Fluorescence microscopy and Raman microscopy techniques provide detailed morphological information and spatial distribution of molecular fingerprints, respectively, enabling the study of cellular stages at the single-cell level. Artificial intelligence can characterize the molecular backgrounds of phenotypes and biological processes by analyzing spectral maps, making it a valuable solution for interpreting complex subcellular spectral maps.

BIOSENSORS-BASEL (2023)

Article Biochemistry & Molecular Biology

Potential Clinically Relevant Effects of Sialylation on Human Serum AAG-Drug Interactions Assessed by Isothermal Titration Calorimetry: Insight into Pharmacoglycomics?

Robert Kerep, Tino Seba, Valentina Borko, Tin Weitner, Toma Keser, Gordan Lauc, Mario Gabricevic

Summary: Human serum alpha-1 acid glycoprotein is involved in the binding and transport of many drugs. Sialic acid groups play a major role in drug binding. The study found that different sialylation can result in different binding affinities.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2023)

Article Biochemistry & Molecular Biology

The Association of the Polymorphisms in the FUT8-Related Locus with the Plasma Glycosylation in Post-Traumatic Stress Disorder

Lucija Tudor, Gordana Nedic Erjavec, Matea Nikolac Perkovic, Marcela Konjevod, Suzana Uzun, Oliver Kozumplik, Ninoslav Mimica, Gordan Lauc, Dubravka Svob Strac, Nela Pivac

Summary: The molecular mechanisms behind PTSD, including the role of glycosylation and the FUT8 gene, were investigated in this study. Associations between plasma N-glycan levels and FUT8-related polymorphisms were observed in both PTSD patients and control participants. The findings suggest that FUT8-related polymorphisms play a regulatory role in glycosylation, which may contribute to the development and clinical manifestation of PTSD.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2023)

Article Cell Biology

Adding pieces to the puzzle of differentiated-to-anaplastic thyroid cancer evolution: the oncogene E2F7

Mila Gugnoni, Eugenia Lorenzini, Italo Faria do Valle, Daniel Remondini, Gastone Castellani, Federica Torricelli, Elisabetta Sauta, Benedetta Donati, Moira Ragazzi, Francesco Ghini, Simonetta Piana, Alessia Ciarrocchi, Gloria Manzotti

Summary: This study validated specific gene signatures in the transition from differentiated thyroid carcinoma (DTC) to anaplastic thyroid cancer (ATC) and identified the E2F7 gene as a key player in this process. Down-regulation of E2F7 reduced the aggressiveness of ATC cells.

CELL DEATH & DISEASE (2023)

Article Endocrinology & Metabolism

Human complement component C3 N-glycome changes in type 1 diabetes complications

Dinko Soic, Jerko Stambuk, Marko Tijardovic, Toma Keser, Gordan Lauc, Tomislav Bulum, Marijana Vucic Lovrencic, Sandra Vuckovic Rebrina, Martina Tomic, Mislav Novokmet, Lea Smircic-Duvnjak, Olga Gornik

Summary: This study investigated the association between C3 N-glycosylation and complications of type 1 diabetes, and found significant changes in C3 N-glycome in severe albuminuria and hypertension accompanying the disease. All C3 glycopeptides except one were associated with HbA1c levels, and one glycoform was associated with non-proliferative diabetic retinopathy. The results suggest that C3 N-glycosylation is a potential novel marker for the progression and severity of type 1 diabetes.

FRONTIERS IN ENDOCRINOLOGY (2023)

Article Cell Biology

Heterogeneity of Cellular Senescence: Cell Type-Specific and Senescence Stimulus-Dependent Epigenetic Alterations

Katarzyna Malgorzata Kwiatkowska, Eleni Mavrogonatou, Adamantia Papadopoulou, Claudia Sala, Luciano Calzari, Davide Gentilini, Maria Giulia Bacalini, Daniele Dall'Olio, Gastone Castellani, Francesco Ravaioli, Claudio Franceschi, Paolo Garagnani, Chiara Pirazzini, Dimitris Kletsas

Summary: The aim of this study was to characterize DNA methylation patterns in replicative and induced senescence in different human cell types. Three epigenetic signatures were identified: cell type- and treatment-specific signature, cell type-specific senescence-related signature, and cell type-transversal replicative senescence-related signature. Cluster analysis revealed distinct DNA methylation patterns in replicative senescent cells, and enrichment in pathways related to the nervous system was shown. Despite no statistically significant evidence of age acceleration, a trend of increased biological age in replicative senescent cultures of all three cell types was observed. This work highlights the heterogeneity of senescent cells and their impact on tissue homeostasis.
Article Agriculture, Dairy & Animal Science

Automated Wound Image Segmentation: Transfer Learning from Human to Pet via Active Semi-Supervised Learning

Daniele Buschi, Nico Curti, Veronica Cola, Gianluca Carlini, Claudia Sala, Daniele Dall'Olio, Gastone Castellani, Elisa Pizzi, Sara Del Magno, Armando Foglia, Massimo Giunti, Luciano Pisoni, Enrico Giampieri

Summary: Proper wound management is beneficial for patients and can reduce healthcare costs. This study introduces a novel pipeline for pet wound image segmentation using advanced training strategies to minimize human intervention. The proposed approach provides a valuable tool for pet wound treatment and offers a methodology for generating large image segmentation datasets.

ANIMALS (2023)

Article Biochemistry & Molecular Biology

IgG N-Glycosylation Is Altered in Coronary Artery Disease

Barbara Radovani, Frano Vuckovic, Aldo P. Maggioni, Ele Ferrannini, Gordan Lauc, Ivan Gudelj

Summary: This study investigated the association between N-glycosylation of immunoglobulin G (IgG) and coronary artery disease (CAD). The analysis revealed differences in IgG N-glycome composition between CAD+ and CAD- cases, particularly in women, where sialylated N-glycan structures were negatively associated with CAD.

BIOMOLECULES (2023)

Article Biochemistry & Molecular Biology

The N-Glycosylation of Total Plasma Proteins and IgG in Atrial Fibrillation

Branimir Plavsa, Janko Szavits-Nossan, Aleksandar Blivajs, Borna Rapcan, Barbara Radovani, Igor Sesto, Kresimir Stambuk, Vito Mustapic, Lovorka Derek, Diana Rudan, Gordan Lauc, Ivan Gudelj

Summary: Atrial fibrillation is a complex disease with aberrant electrical signaling and the development of a susceptible heart substrate. The presence of inflammation, characterized by changes like adipose tissue accumulation and interstitial fibrosis, plays a crucial role. This study investigated the N-glycosylation patterns in atrial fibrillation patients and found significant differences in plasma N-glycome and IgG N-glycans between the case and control groups. Additionally, specific N-glycans were associated with atrial fibrillation recurrence and correlated with the CHA(2)DS(2)-VASc score.

BIOMOLECULES (2023)

Article Health Care Sciences & Services

Effectiveness of Radiomic ZOT Features in the Automated Discrimination of Oncocytoma from Clear Cell Renal Cancer

Gianluca Carlini, Caterina Gaudiano, Rita Golfieri, Nico Curti, Riccardo Biondi, Lorenzo Bianchi, Riccardo Schiavina, Francesca Giunchi, Lorenzo Faggioni, Enrico Giampieri, Alessandra Merlotti, Daniele Dall'Olio, Claudia Sala, Sara Pandolfi, Daniel Remondini, Arianna Rustici, Luigi Vincenzo Pastore, Leonardo Scarpetti, Barbara Bortolani, Laura Cercenelli, Eugenio Brunocilla, Emanuela Marcelli, Francesca Coppola, Gastone Castellani

Summary: This study aimed to build a machine learning model to distinguish between benign renal tumors, such as renal oncocytoma, and malignant renal cell carcinomas. By selecting appropriate radiomic features and using a decision tree classifier, we successfully established a model that could differentiate between these two types of renal tumors. The results confirmed the efficiency of radiomic features in capturing tumor characteristics, but also highlighted the need to consider the true generalization capabilities of the models.

JOURNAL OF PERSONALIZED MEDICINE (2023)

Article Cell Biology

Salinomycin disturbs Golgi function and specifically affects cells in epithelial-to-mesenchymal transition

Marko Marjanovic, Ana-Matea Mikecin Drazic, Marija Mioc, Mladen Paradzik, Filip Klicek, Mislav Novokmet, Gordan Lauc, Marijeta Kralj

Summary: Targeting the Golgi apparatus could be a novel therapeutic approach against CSCs, as it selectively eliminates EMT cells.

JOURNAL OF CELL SCIENCE (2023)

Article Computer Science, Information Systems

Machine and Deep Learning Algorithms for COVID-19 Mortality Prediction Using Clinical and Radiomic Features

Laura Verzellesi, Andrea Botti, Marco Bertolini, Valeria Trojani, Gianluca Carlini, Andrea Nitrosi, Filippo Monelli, Giulia Besutti, Gastone Castellani, Daniel Remondini, Gianluca Milanese, Stefania Croci, Nicola Sverzellati, Carlo Salvarani, Mauro Iori

Summary: This study aims to propose a user-friendly and low-cost tool for COVID-19 mortality prediction using both machine learning and deep learning approaches.

ELECTRONICS (2023)

Meeting Abstract Cardiac & Cardiovascular Systems

Altered N-glycosylation of Immunoglobulin G and Total Plasma Proteins in Patients With Atrial Fibrillation

Janko Szavits Nossan, Barbara Radovani, Gordan Lauc, Ivan Gudelj

JOURNAL OF CARDIOVASCULAR ELECTROPHYSIOLOGY (2023)

暂无数据