Review
Biochemistry & Molecular Biology
Yu-Chen Jia, Yi-Xuan Ding, Wen-Tong Mei, Yu-Ting Wang, Zhi Zheng, Yuan-Xu Qu, Kuo Liang, Jia Li, Feng Cao, Fei Li
Summary: Comprehensive reviews and large population-based cohort studies have significantly reduced the incidence and mortality of pancreatitis. The study of extracellular vesicles (EVs), especially exosomes, in pancreatitis has shown potential for identifying cell-to-cell communication and influencing the disease's development and progression. Plasma exosomes of acute pancreatitis can reach the alveolar cavity and activate alveolar macrophages to cause acute lung injury, suggesting their use as biomarkers and therapeutic agents for this disease.
INTERNATIONAL JOURNAL OF BIOLOGICAL SCIENCES
(2021)
Article
Engineering, Biomedical
Christopher Millan, Lukas Prause, Queralt Vallmajo-Martin, Natalie Hensky, Daniel Eberli
Summary: Engineered microtissues have a significant impact on extracellular vesicles (EVs) secreted by benign and malignant prostate cells, with a higher yield of EVs per cell in 3D cultures compared to 2D. Whole transcriptome sequencing and proteomics analysis reveal stark contrasts in molecular cargo between 2D-EVs and 3D-EVs, with exclusive enrichment of known drivers of prostate cancer progression in 3D-EVs. Functional assays demonstrate that only 3D-EVs confer increased invasiveness and chemoresistance to cells in 2D, highlighting the potential of engineered 3D microtissue cultures for identifying biomarkers not detectable in standard 2D conditions.
ADVANCED HEALTHCARE MATERIALS
(2022)
Article
Cardiac & Cardiovascular Systems
Susmita Sahoo, Marta Adamiak, Prabhu Mathiyalagan, Franziska Kenneweg, Sabine Kafert-Kasting, Thomas Thum
Summary: Exosomes are small membrane-bound vesicles actively secreted by cells. Research on the potential and challenges of exosomes in biological signaling in myocardial function highlights their significance in cardiac physiology and pathology, emphasizing the need for scientific innovations in isolation and characterization methodologies.
Review
Biochemistry & Molecular Biology
Rui Miguel Marques Bernardino, Ricardo Leao, Rui Henrique, Luis Campos Pinheiro, Prashant Kumar, Prashanth Suravajhala, Hans Christian Beck, Ana Sofia Carvalho, Rune Matthiesen
Summary: The study explores possible strategies for urinary biomarker discovery, especially focused on proteome of urine EVs for PCa. Through reanalysis of proteomics data and network analysis, the findings suggest that urinary EVs may provide potential biomarkers with higher protein coverage compared to other sample sources and may fully characterize the heterogeneity of PCa.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Cell Biology
Francheska Delgado-Peraza, Carlos J. Nogueras-Ortiz, Olga Volpert, Dong Liu, Edward J. Goetzl, Mark P. Mattson, Nigel H. Greig, Erez Eitan, Dimitrios Kapogiannis
Summary: The study found that biomarkers in circulating NEVs and AEVs reflect their brain levels across multiple AD mouse models, supporting their potential use as a liquid biopsy for neurological disorders. This demonstrates a potential for utilizing EV proteins as AD biomarkers and emphasizes the importance of further research in this area.
Article
Oncology
Ilaria Casari, Justin Andrew Howard, Eunice Eugenia Robless, Marco Falasca
Summary: Pancreatic cancer, as one of the most lethal types of cancer, is difficult to diagnose and treat in time. The appearance of metastasis is dreaded by every cancer patient.
Review
Endocrinology & Metabolism
Xiaonan Ding, Xiaochen Wang, Junxia Du, Qiuxia Han, Dong Zhang, Hanyu Zhu
Summary: This systematic review focuses on the proteins in urinary extracellular vesicles (EV) and their potential role in diabetic nephropathy (DN). The findings suggest that urinary EV proteins may participate in DN through various pathways, providing insight into the mechanisms and potential biomarkers of this disease.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Oncology
Juliana Mueller Bark, Lucas Trevisan Franca de Lima, Xi Zhang, Daniel Broszczak, Paul J. Leo, Rosalind L. Jeffree, Benjamin Chua, Bryan W. Day, Chamindie Punyadeera
Summary: This study demonstrates the feasibility of isolating and characterizing small extracellular vesicles (EVs) from pre- and postoperative saliva samples from glioblastoma (GBM) patients for the first time. Preliminary findings encourage further large cohort validation studies on salivary small EVs to evaluate prognosis in GBM.
Review
Endocrinology & Metabolism
Megan Ludwig, Rhea Rajvansh, Justin M. Drake
Summary: Contents within extracellular vesicles (EVs) have emerged as promising biomarkers that can provide valuable information about disease state and are acquired through noninvasive liquid biopsies. In prostate cancer, EVs play a crucial role in facilitating effective communication between cancer cells and the microenvironment, impacting important cellular processes such as metastasis, immune regulation, and drug resistance.
Review
Pharmacology & Pharmacy
Yan Zhao, Xiaolu Li, Wenbo Zhang, Lanlan Yu, Yang Wang, Zhun Deng, Mingwei Liu, Shanshan Mo, Ruonan Wang, Jinming Zhao, Shuli Liu, Yun Hao, Xiangdong Wang, Tianjiao Ji, Luo Zhang, Chenxuan Wang
Summary: EVs play important roles in biomedical applications, acting as efficient drug-delivery carriers and participating in disease diagnosis and treatment. Investigating the origins and working mechanisms of EVs can provide insights into life activities and disease development.
ACTA PHARMACEUTICA SINICA B
(2021)
Review
Oncology
Akbar Lulu Marzan, Sarah Elizabeth Stewart
Summary: Pancreatic cancer is a highly lethal cancer with a 5-year survival rate of less than 10%, largely due to factors such as inadequate diagnostics, rapid metastasis, and chemoresistance. Research on extracellular vesicles in pancreatic cancer progression and chemoresistance is crucial for identifying new treatment options. Accumulating evidence suggests that extracellular vesicles may serve as biomarkers for early detection and as potential therapeutic targets or drug delivery tools for the treatment of pancreatic cancer.
Article
Cell Biology
Nasibeh Karimi, Razieh Dalirfardouei, Tomas Dias, Jan Lotvall, Cecilia Lasser
Summary: This study reveals the presence of multiple subpopulations of extracellular vesicles (EVs) carrying different tetraspanins in both plasma and serum. The sampling methods and centrifugation protocols used for blood can impact EV analysis results.
JOURNAL OF EXTRACELLULAR VESICLES
(2022)
Article
Critical Care Medicine
Beomsu Shin, Jin Young Lee, Yunjoo Im, Hongseok Yoo, Junseon Park, Joo Sang Lee, Ki-Young Lee, Kyeongman Jeon
Summary: This study examined the differential expression of exosomal miRNAs in plasma samples from sepsis patients and healthy controls. Four downregulated miRNAs (hsa-let-7f-5p, miR-331-3p, miR-301a-3p, and miR-335-5p) were identified as independent prognostic factors for in-hospital and 90-day mortalities among sepsis patients. Bioinformatics analysis suggested that these miRNAs may contribute to sepsis pathogenesis through PI3K-Akt and MAPK signaling pathway.
JOURNAL OF INTENSIVE CARE
(2023)
Review
Biochemistry & Molecular Biology
Nada Basheir Ali, Ahmad Faizal Abdull Razis, Der Jiun Ooi, Kim Wei Chan, Norsharina Ismail, Jhi Biau Foo
Summary: This article introduces the role and applications of extracellular vesicles (EVs), including their function as signaling molecules between cells, as well as their advantages as non-invasive diagnostic tools and drug carriers. It also discusses the latest research findings on plant-derived EVs.
Article
Biology
Dmitry Ter-Ovanesyan, Maia Norman, Roey Lazarovits, Wendy Trieu, Ju-Hyun Lee, George M. Church, David R. Walt
Summary: This study demonstrates the use of ultrasensitive Simoa assays for quantifying EVs and comparing different isolation methods. The results highlight the utility of quantifying EV proteins using Simoa and provide a rapid framework for comparing and improving EV isolation methods.
Article
Cardiac & Cardiovascular Systems
Marios Rossides, Susanna Kullberg, Johan Grunewald, Anders Eklund, Daniela Di Giuseppe, Johan Askling, Elizabeth Arkema
Summary: This study found that the risk of heart failure in patients with sarcoidosis is significantly increased, especially in the first two years after diagnosis. Diabetes, atrial fibrillation, and other arrhythmias were identified as the strongest independent clinical predictors of heart failure in sarcoidosis.
Article
Cell Biology
Rico Lepzien, Mu Nie, Paulo Czarnewski, Sang Liu, Meng Yu, Avinash Ravindran, Susanna Kullberg, Anders Eklund, Johan Grunewald, Anna Smed-Sorensen
Summary: This study found that DCs from sarcoidosis patients have a stronger ability to activate and polarize T cells, especially towards Th1 and Th17.1 cells, compared to monocytes. DCs induced higher T cell proliferation compared to monocytes, which is important for understanding the contribution of monocytes and DCs to T cell activation and immunopathology in sarcoidosis.
JOURNAL OF LEUKOCYTE BIOLOGY
(2022)
Meeting Abstract
Ophthalmology
Petter Holmlund, Karen Stoverud, Anders Wahlin, Urban Wiklund, Jan Malm, Gauti Johannesson, Anders Eklund
ACTA OPHTHALMOLOGICA
(2022)
Article
Cardiac & Cardiovascular Systems
Amanda Lundkvist, Susanna Kullberg, Elizabeth Arkema, Kerstin Cedelund, Anders Eklund, Johan Grunewald, Pernilla Darlington
Summary: This study aimed to investigate the gender-related differences in disease presentation in Swedish patients with sarcoidosis. The results showed that male patients had more severe disease at a younger age, while female patients more often had involvement of the skin and salivary glands.
RESPIRATORY MEDICINE
(2022)
Article
Cardiac & Cardiovascular Systems
Per Eldhagen, Emanuele Bobbio, Pernilla Darlington, Johan Grunewald, Anders Eklund, Christian L. Polte, Niklas Bergh, Entela Bollano, Peder Sorensson, Susanna Kullberg
Summary: This study included 87 Swedish patients with cardiac sarcoidosis (CS) and found that patients who presented with CS as their first manifestation were younger, had more severe cardiac symptoms, and may be at risk of missed or delayed diagnosis.
INTERNATIONAL JOURNAL OF CARDIOLOGY
(2022)
Article
Biochemical Research Methods
Iulian Emil Tampu, Anders Eklund, Kenth Johansson, Oliver Gimm, Neda Haj-Hosseini
Summary: This study investigates deep learning models for thyroid disease classification using optical coherence tomography (OCT) data. The results suggest that OCT, combined with deep learning analysis, can identify diseased tissue in real-time during thyroid surgery.
JOURNAL OF BIOPHOTONICS
(2023)
Article
Multidisciplinary Sciences
Iulian Emil Tampu, Anders Eklund, Neda Haj-Hosseini
Summary: This study demonstrates the effect of improper dataset splitting on model evaluation in deep learning application on optical coherence tomography (OCT) data, highlighting the importance of dataset handling in model evaluation.
Article
Multidisciplinary Sciences
Adam Richie-Halford, Matthew Cieslak, Lei Ai, Sendy Caffarra, Sydney Covitz, Alexandre R. Franco, Iliana I. Karipidis, John Kruper, Michael Milham, Barbara Avelar-Pereira, Ethan Roy, Valerie J. Sydnor, Jason D. Yeatman, Theodore D. Satterthwaite, Ariel Rokem, Nicholas J. Abbott, Nicholas J. Abbott, John A. E. Anderson, B. Gagana, MaryLena Bleile, Peter S. Bloomfield, Vince Bottom, Josiane Bourque, Rory Boyle, Julia K. Brynildsen, Navona Calarco, Jaime J. Castrellon, Natasha Chaku, Bosi Chen, Sidhant Chopra, Emily B. J. Coffey, Nigel Colenbier, Daniel J. Cox, James Elliott Crippen, Jacob J. Crouse, Szabolcs David, Benjamin De Leener, Gwyneth Delap, Zhi-De Deng, Jules Roger Dugre, Anders Eklund, Kirsten Ellis, Arielle Ered, Harry Farmer, Joshua Faskowitz, Jody E. Finch, Guillaume Flandin, Matthew W. Flounders, Leon Fonville, Summer B. Frandsen, Dea Garic, Patricia Garrido-Vasquez, Gabriel Gonzalez-Escamilla, Shannon E. Grogans, Mareike Grotheer, David C. Gruskin, Guido I. Guberman, Edda Briana Haggerty, Younghee Hahn, Elizabeth H. Hall, Jamie L. Hanson, Yann Harel, Bruno Hebling Vieira, Meike D. Hettwer, Harriet Hobday, Corey Horien, Fan Huang, Zeeshan M. Huque, Anthony R. James, Isabella Kahhale, Sarah L. H. Kamhout, Arielle S. Keller, Harmandeep Singh Khera, Gregory Kiar, Peter Alexander Kirk, Simon H. Kohl, Stephanie A. Korenic, Cole Korponay, Alyssa K. Kozlowski, Nevena Kraljevic, Alberto Lazari, Mackenzie J. Leavitt, Zhaolong Li, Giulia Liberati, Elizabeth S. Lorenc, Annabelle Julina Lossin, Leon D. Lotter, David M. Lydon-Staley, Christopher R. Madan, Neville Magielse, Hilary A. Marusak, Julien Mayor, Amanda L. McGowan, Kahini P. Mehta, Steven Lee Meisler, Cleanthis Michael, Mackenzie E. Mitchell, Simon Morand-Beaulieu, Benjamin T. Newman, Jared A. Nielsen, Shane M. O'Mara, Amar Ojha, Adam Omary, Evren ozarslan, Linden Parkes, Madeline Peterson, Adam Robert Pines, Claudia Pisanu, Ryan R. Rich, Ashish K. Sahoo, Amjad Samara, Farah Sayed, Jonathan Thore Schneider, Lindsay S. Shaffer, Ekaterina Shatalina, Sara A. Sims, Skyler Sinclair, Jae W. Song, Griffin Stockton Hogrogian, Ursula A. Tooley, Vaibhav Tripathi, Hamid B. Turker, Sofie Louise Valk, Matthew B. Wall, Cheryl K. Walther, Yuchao Wang, Bertil Wegmann, Thomas Welton, Alex I. Wiesman, Andrew G. Wiesman, Mark Wiesman, Drew E. Winters, Ruiyi Yuan, Sadie J. Zacharek, Chris Zajner, Ilya Zakharov, Gianpaolo Zammarchi, Dale Zhou, Benjamin Zimmerman, Kurt Zoner, Theodore D. Satterthwaite, Ariel Rokem
Summary: This study created a set of resources for research using openly-available diffusion MRI (dMRI) data from the Healthy Brain Network (HBN) study. The data was curated, preprocessed, and made openly available for analysis. Additionally, a neural network was trained for quality control purposes and showed high concordance with expert ratings. This work contributes to advancing research in brain connectivity and pediatric mental health and introduces a novel paradigm for automated quality control of large datasets.
Article
Oncology
Rosanne E. Veerman, Goezde Gucluler Akpinar, Annemarijn Offens, Loic Steiner, Pia Larssen, Andreas Lundqvist, Mikael C. I. Karlsson, Susanne Gabrielsson
Summary: Extracellular vesicles (EVs) are potential candidates for cancer therapy targeting the PD-1/PD-L1 axis. Combination therapy of EVs and anti-PD-1 or anti-PD-L1 enhances immune responses and improves survival in tumor models. This study demonstrates the ability of EVs to induce potent antitumor immune responses and sensitize previously nonresponsive tumors to anti-PD-1 or anti-PD-L1 therapy.
CANCER IMMUNOLOGY RESEARCH
(2023)
Article
Biology
Ehsan Manouchehri Doulabi, Claudia Fredolini, Radiosa Gallini, Liza Lof, Qiujin Shen, Ryoyo Ikebuchi, Louise Dubois, Alireza Azimi, Olivier Loudig, Susanne Gabrielsson, Ulf Landegren, Anders Larsson, Jonas Bergquist, Masood Kamali-Moghaddam
Summary: Extracellular vesicles (EVs) are important for intercellular communication and potential biomarkers. A new strategy combining HRMS and PLA enables deep analysis of EV surface proteins.
COMMUNICATIONS BIOLOGY
(2022)
Article
Medicine, General & Internal
Muntasir Abo Al Hayja, Susanna Kullberg, Anders Eklund, Leonid Padyukov, Johan Grunewald, Natalia V. Rivera
Summary: Genetic variants associated with sarcoidosis may modulate the quantitative levels of BAL cell types and regulate gene expression in immune cell populations, providing insights into the pathogenesis of the disease.
FRONTIERS IN MEDICINE
(2023)
Article
Neurosciences
Mats Svantesson, Hakan Olausson, Anders Eklund, Magnus Thordstein
Summary: t-SNE is a method for reducing high-dimensional data to a low-dimensional representation, primarily used for data visualization. In this study, t-SNE was used to train CNN encoders to generate high- and low-dimensional representations of EEG data without feature engineering. Evaluation on three distinct EEG datasets showed that the developed CNN encoders performed well in separating categories and had better clustering capabilities.
Article
Endocrinology & Metabolism
Robert Moulder, Tommi Valikangas, M. Karoliina Hirvonen, Tomi A. Suomi, Caroline A. Brorsson, Niina Lietzen, Sylvaine F. A. Bruggraber, Lut Overbergh, David B. Dunger, Mark Peakman, Piotr J. Chmura, Soren Brunak, Anke M. Schulte, Chantal Mathieu, Mikael Knip, Laura L. Elo, Riitta Lahesmaa
Summary: There is a growing need for markers that could indicate the decline in beta cell function in type 1 diabetes. This study evaluated a panel of proteins in serum from newly diagnosed individuals and found associations between certain proteins and beta cell function. The findings suggest that these proteins may be useful in future studies of beta cell function in type 1 diabetes.
Article
Immunology
Syed Bilal Ahmad Andrabi, Kedar Batkulwar, Santosh D. Bhosale, Robert Moulder, Meraj Hasan Khan, Tanja Buchacher, Mohd Moin Khan, Ilona Arnkil, Omid Rasool, Alexander Marson, Ubaid Ullah Kalim, Riitta Lahesmaa
Summary: HIC1 is involved in various important biological processes and plays a role in tumor repression, immune suppression, embryonic development, and epigenetic gene regulation. By studying the interactome of HIC1 in Treg cells, it was found that HIC1 interacts with other proteins and is part of a protein complex that regulates Treg cell differentiation.
IMMUNOLOGY LETTERS
(2023)
Article
Multidisciplinary Sciences
M. Karoliina Hirvonen, Niina Lietzen, Robert Moulder, Santosh D. Bhosale, Jaakko Koskenniemi, Mari Vaha-Makila, Mirja Nurmio, Matej Oresic, Jorma Ilonen, Jorma Toppari, Riitta Veijola, Heikki Hyoty, Harri Lahdesmaki, Mikael Knip, Lu Cheng, Riitta Lahesmaa
Summary: By analyzing samples from children with type 1 diabetes, researchers identified the relationship between protein levels and disease progression, which can improve prediction and monitoring of the disease.
SCIENTIFIC REPORTS
(2023)