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  1. Article ; Online: Peptides as "better biomarkers"? Value, challenges, and potential solutions to facilitate implementation.

    Latosinska, Agnieszka / Frantzi, Maria / Siwy, Justyna

    Mass spectrometry reviews

    2023  

    Abstract: Peptides carry important functions in normal physiological and pathophysiological processes and can serve as clinically useful biomarkers. Given the ability to diffuse passively across endothelial barriers, endogenous peptides can be examined in several ... ...

    Abstract Peptides carry important functions in normal physiological and pathophysiological processes and can serve as clinically useful biomarkers. Given the ability to diffuse passively across endothelial barriers, endogenous peptides can be examined in several body fluids, including among others urine, blood, and cerebrospinal fluid. This review article provides an update on the recently published literature that reports on investigating native peptides in body fluids using mass spectrometry-based platforms, specifically those studies that focus on the application of peptides as biomarkers to improve clinical management. We emphasize on the critical evaluation of their clinical value, how close they are to implementation, and the associated challenges and potential solutions to facilitate clinical implementation. During the last 5 years, numerous studies have been published, demonstrating the increased interest in mass spectrometry for the assessment of endogenous peptides as potential biomarkers. Importantly, the presence of few successful examples of implementation in patients' management and/or in the context of clinical trials indicates that the peptide biomarker field is evolving. Nevertheless, most studies still report evidence based on small sample size, while validation phases are frequently missing. Therefore, a gap between discovery and implementation still exists.
    Language English
    Publishing date 2023-06-26
    Publishing country United States
    Document type Journal Article ; Review
    ZDB-ID 1491946-1
    ISSN 1098-2787 ; 0277-7037
    ISSN (online) 1098-2787
    ISSN 0277-7037
    DOI 10.1002/mas.21854
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The urinary proteomic profile of fibromuscular dysplasia.

    Persu, Alexandre / Fanelli, Elvira / Latosinska, Agnieszka / Mischak, Harald

    Blood pressure monitoring

    2022  Volume 27, Issue Suppl 1, Page(s) e8–e9

    MeSH term(s) Humans ; Fibromuscular Dysplasia/diagnostic imaging ; Proteomics ; Blood Pressure
    Language English
    Publishing date 2022-11-25
    Publishing country England
    Document type Journal Article
    ZDB-ID 1324472-3
    ISSN 1473-5725 ; 1359-5237
    ISSN (online) 1473-5725
    ISSN 1359-5237
    DOI 10.1097/01.mbp.0000905236.23950.d5
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Integration of Urinary Peptidome and Fecal Microbiome to Explore Patient Clustering in Chronic Kidney Disease.

    Mavrogeorgis, Emmanouil / Valkenburg, Sophie / Siwy, Justyna / Latosinska, Agnieszka / Glorieux, Griet / Mischak, Harald / Jankowski, Joachim

    Proteomes

    2024  Volume 12, Issue 2

    Abstract: Millions of people worldwide currently suffer from chronic kidney disease (CKD), requiring kidney replacement therapy at the end stage. Endeavors to better understand CKD pathophysiology from an omics perspective have revealed major molecular players in ... ...

    Abstract Millions of people worldwide currently suffer from chronic kidney disease (CKD), requiring kidney replacement therapy at the end stage. Endeavors to better understand CKD pathophysiology from an omics perspective have revealed major molecular players in several sample sources. Focusing on non-invasive sources, gut microbial communities appear to be disturbed in CKD, while numerous human urinary peptides are also dysregulated. Nevertheless, studies often focus on isolated omics techniques, thus potentially missing the complementary pathophysiological information that multidisciplinary approaches could provide. To this end, human urinary peptidome was analyzed and integrated with clinical and fecal microbiome (16S sequencing) data collected from 110 Non-CKD or CKD individuals (Early, Moderate, or Advanced CKD stage) that were not undergoing dialysis. Participants were visualized in a three-dimensional space using different combinations of clinical and molecular data. The most impactful clinical variables to discriminate patient groups in the reduced dataspace were, among others, serum urea, haemoglobin, total blood protein, urinary albumin, urinary erythrocytes, blood pressure, cholesterol measures, body mass index, Bristol stool score, and smoking; relevant variables were also microbial taxa, including
    Language English
    Publishing date 2024-04-01
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2720995-7
    ISSN 2227-7382
    ISSN 2227-7382
    DOI 10.3390/proteomes12020011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Reviewing the Regulators of COL1A1.

    Devos, Hanne / Zoidakis, Jerome / Roubelakis, Maria G / Latosinska, Agnieszka / Vlahou, Antonia

    International journal of molecular sciences

    2023  Volume 24, Issue 12

    Abstract: The collagen family contains 28 proteins, predominantly expressed in the extracellular matrix (ECM) and characterized by a triple-helix structure. Collagens undergo several maturation steps, including post-translational modifications (PTMs) and cross- ... ...

    Abstract The collagen family contains 28 proteins, predominantly expressed in the extracellular matrix (ECM) and characterized by a triple-helix structure. Collagens undergo several maturation steps, including post-translational modifications (PTMs) and cross-linking. These proteins are associated with multiple diseases, the most pronounced of which are fibrosis and bone diseases. This review focuses on the most abundant ECM protein highly implicated in disease, type I collagen (collagen I), in particular on its predominant chain collagen type I alpha 1 (COLα1 (I)). An overview of the regulators of COLα1 (I) and COLα1 (I) interactors is presented. Manuscripts were retrieved searching PubMed, using specific keywords related to COLα1 (I).
    MeSH term(s) Collagen/metabolism ; Collagen Type I/metabolism ; Extracellular Matrix/metabolism ; Discoidin Domain Receptors/metabolism ; Receptors, Cell Surface/metabolism
    Chemical Substances Collagen (9007-34-5) ; Collagen Type I ; Discoidin Domain Receptors (EC 2.7.10.1) ; Receptors, Cell Surface
    Language English
    Publishing date 2023-06-11
    Publishing country Switzerland
    Document type Journal Article ; Review
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms241210004
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Clinical Proteomics on the Path Toward Implementation: First Promises Delivered.

    Frantzi, Maria / Mischak, Harald / Latosinska, Agnieszka

    Proteomics. Clinical applications

    2019  Volume 13, Issue 2, Page(s) e1800094

    MeSH term(s) Humans ; Proteomics
    Language English
    Publishing date 2019-03-05
    Publishing country Germany
    Document type Editorial ; Introductory Journal Article
    ZDB-ID 2261788-7
    ISSN 1862-8354 ; 1862-8346
    ISSN (online) 1862-8354
    ISSN 1862-8346
    DOI 10.1002/prca.201800094
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Book ; Online ; Thesis: Optimizing methodologies for clinical proteomics

    Latosinska, Agnieszka [Verfasser]

    2016  

    Author's details Agnieszka Latosinska
    Keywords Medizin, Gesundheit ; Medicine, Health
    Subject code sg610
    Language English
    Publisher Medizinische Fakultät Charité - Universitätsmedizin Berlin
    Publishing place Berlin
    Document type Book ; Online ; Thesis
    Database Digital theses on the web

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  7. Article ; Online: Reviewing the Regulators of COL1A1

    Hanne Devos / Jerome Zoidakis / Maria G. Roubelakis / Agnieszka Latosinska / Antonia Vlahou

    International Journal of Molecular Sciences, Vol 24, Iss 10004, p

    2023  Volume 10004

    Abstract: The collagen family contains 28 proteins, predominantly expressed in the extracellular matrix (ECM) and characterized by a triple-helix structure. Collagens undergo several maturation steps, including post-translational modifications (PTMs) and cross- ... ...

    Abstract The collagen family contains 28 proteins, predominantly expressed in the extracellular matrix (ECM) and characterized by a triple-helix structure. Collagens undergo several maturation steps, including post-translational modifications (PTMs) and cross-linking. These proteins are associated with multiple diseases, the most pronounced of which are fibrosis and bone diseases. This review focuses on the most abundant ECM protein highly implicated in disease, type I collagen (collagen I), in particular on its predominant chain collagen type I alpha 1 (COLα1 (I)). An overview of the regulators of COLα1 (I) and COLα1 (I) interactors is presented. Manuscripts were retrieved searching PubMed, using specific keywords related to COLα1 (I). COL1A1 regulators at the epigenetic, transcriptional, post-transcriptional and post-translational levels include DNA Methyl Transferases (DNMTs), Tumour Growth Factor β (TGFβ), Terminal Nucleotidyltransferase 5A (TENT5A) and Bone Morphogenic Protein 1 (BMP1), respectively. COLα1 (I) interacts with a variety of cell receptors including integrinβ, Endo180 and Discoidin Domain Receptors (DDRs). Collectively, even though multiple factors have been identified in association to COLα1 (I) function, the implicated pathways frequently remain unclear, underscoring the need for a more spherical analysis considering all molecular levels simultaneously.
    Keywords collagen ; collagen type I alpha 1 chain ; COL1A1 ; molecular signalling pathways ; disease ; Biology (General) ; QH301-705.5 ; Chemistry ; QD1-999
    Subject code 610
    Language English
    Publishing date 2023-06-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Drug repurposing in oncology.

    Frantzi, Maria / Latosinska, Agnieszka / Mokou, Marika / Mischak, Harald / Vlahou, Antonia

    The Lancet. Oncology

    2020  Volume 21, Issue 12, Page(s) e543

    MeSH term(s) Drug Repositioning ; Humans ; Medical Oncology ; Neoplasms
    Language English
    Publishing date 2020-11-25
    Publishing country England
    Document type Letter ; Comment
    ZDB-ID 2049730-1
    ISSN 1474-5488 ; 1470-2045
    ISSN (online) 1474-5488
    ISSN 1470-2045
    DOI 10.1016/S1470-2045(20)30610-0
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Developing Novel Drug Candidates and Repurposed Drugs for Prostate Cancer Based on Molecular Profiles.

    Mokou, Marika / Frantzi, Maria / Mischak, Harald / Vlahou, Antonia / Latosinska, Agnieszka

    Current medicinal chemistry

    2021  Volume 28, Issue 40, Page(s) 8392–8415

    Abstract: Prostate cancer (PCa) carries a growing burden on society. Lack of curative treatment and poor prognosis among patients with advanced PCa imply an urgent need for novel and improved drug identification. This is hampered by the disease's high molecular ... ...

    Abstract Prostate cancer (PCa) carries a growing burden on society. Lack of curative treatment and poor prognosis among patients with advanced PCa imply an urgent need for novel and improved drug identification. This is hampered by the disease's high molecular heterogeneity and complex molecular pathophysiology, resulting in drugs being efficient in a few patients and cancer developing resistance to treatment. De novo drug discovery has proven to be complex and challenging. Along with technological advancements (mainly linked to -omics approaches) that allow for comprehensive characterization of the molecular changes underlying disease, and considering respective developments in bioinformatics, computational drug repurposing has emerged as a promising approach to shorten the way from discovery to clinical application and address the disease molecular complexity. With this article, we aimed at reviewing recent studies in which drugs/ compounds for PCa were defined through the investigation of molecular profiling (-omics) data and the application of drug repurposing strategies. A brief overview of the technical requirements and associated challenges with the latter are also provided. For that purpose, a literature search was conducted using the PubMed database. Numerous drugs/ compounds have been proposed as potential PCa therapeutics, mostly based on the investigation of genomics and transcriptomics data. In most cases, further assessment in disease models is required. Since ultimately proteins are targeted by drugs, expanding on the use of proteomics profiling data (alone or in combination with other -omics) is expected to advance further defining new/repurposed drugs for PCa.
    MeSH term(s) Computational Biology ; Drug Repositioning ; Genomics ; Humans ; Male ; Pharmaceutical Preparations ; Prostatic Neoplasms/drug therapy ; Prostatic Neoplasms/genetics
    Chemical Substances Pharmaceutical Preparations
    Language English
    Publishing date 2021-05-26
    Publishing country United Arab Emirates
    Document type Journal Article ; Review
    ZDB-ID 1319315-6
    ISSN 1875-533X ; 0929-8673
    ISSN (online) 1875-533X
    ISSN 0929-8673
    DOI 10.2174/0929867328666210525162730
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: The Implant Proteome-The Right Surgical Glue to Fix Titanium Implants In Situ.

    Jäger, Marcus / Latosinska, Agnieszka / Herten, Monika / Busch, André / Grupp, Thomas / Sowislok, Andrea

    Journal of functional biomaterials

    2022  Volume 13, Issue 2

    Abstract: Titanium implants are frequently applied to the bone in orthopedic and trauma surgery. Although these biomaterials are characterized by excellent implant survivorship and clinical outcomes, there are almost no data available on the initial protein layer ... ...

    Abstract Titanium implants are frequently applied to the bone in orthopedic and trauma surgery. Although these biomaterials are characterized by excellent implant survivorship and clinical outcomes, there are almost no data available on the initial protein layer binding to the implant surface in situ. This study aims to investigate the composition of the initial protein layer on endoprosthetic surfaces as a key initiating step in osseointegration. In patients qualified for total hip arthroplasty, the implants are inserted into the femoral canal, fixed and subsequently explanted after 2 and 5 min. The proteins adsorbed to the surface (the implant proteome) are analyzed by liquid chromatography-tandem mass spectrometry (LC-MS/MS). A statistical analysis of the proteins' alteration with longer incubation times reveals a slight change in their abundance according to the Vroman effect. The pathways involved in the extracellular matrix organization of bone, sterile inflammation and the beginning of an immunogenic response governed by neutrophils are significantly enriched based on the analysis of the implant proteome. Those are generally not changed with longer incubation times. In summary, proteins relevant for osseointegration are already adsorbed within 2 min in situ. A deeper understanding of the in situ protein-implant interactions in patients may contribute to optimizing implant surfaces in orthopedic and trauma surgery.
    Language English
    Publishing date 2022-04-15
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2648525-4
    ISSN 2079-4983
    ISSN 2079-4983
    DOI 10.3390/jfb13020044
    Database MEDical Literature Analysis and Retrieval System OnLINE

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