272 Works

Data from: A single 17D Yellow Fever vaccination provides lifelong immunity; characterization of Yellow-Fever-specific neutralizing antibody and T-cell responses after vaccination

Rosanne W. Wieten, Emile F. F. Jonker, Ester M. M. Van Leeuwen, Ester B. M. Remmerswaal, Ineke J. M. Ten Berge, Adriëtte W. De Visser, Perry J. J. Van Genderen, Abraham Goorhuis, Leo G. Visser, Martin P. Grobusch & Godelieve J. De Bree
Introduction: Prompted by recent amendments of Yellow Fever (YF) vaccination guidelines from boost to single vaccination strategy and the paucity of clinical data to support this adjustment, we used the profile of the YF-specific CD8+ T-cell subset profiles after primary vaccination and neutralizing antibodies as a proxy for potentially longer lasting immunity. Methods and Findings: PBMCs and serum were collected in six individuals on days 0, 3, 5, 12, 28 and 180, and in 99...

Data from: Automatic segmentation of multiple cardiovascular structures from cardiac computed tomography angiography images using deep learning

Lohendran Baskaran, Subhi J. Al’Aref, Gabriel Maliakal, Benjamin C. Lee, Zhuoran Xu, Jeong W. Choi, Sang-Eun Lee, Ji Min Sung, Fay Y. Lin, Simon Dunham, Bobak Mosadegh, Yong-Jin Kim, Ilan Gottlieb, Byoung Kwon Lee, Eun Ju Chun, Filippo Cademartiri, Erica Maffei, Hugo Marques, Sanghoon Shin, Jung Hyun Choi, Kavitha Chinnaiyan, Martin Hadamitzky, Edoardo Conte, Daniele Andreini, Gianluca Pontone … & Leslee J. Shaw
Objectives: To develop, demonstrate and evaluate an automated deep learning method for multiple cardiovascular structure segmentation. Background: Segmentation of cardiovascular images is resource-intensive. We design an automated deep learning method for the segmentation of multiple structures from Coronary Computed Tomography Angiography (CCTA) images. Methods: Images from a multicenter registry of patients that underwent clinically-indicated CCTA were used. The proximal ascending and descending aorta (PAA, DA), superior and inferior vena cavae (SVC, IVC), pulmonary artery (PA),...

Predicting responders to prone positioning in mechanically ventilated patients with COVID-19 using machine learning

Tariq A. Dam, Luca F. Roggeveen, Fuda van Diggelen, Lucas M. Fleuren, Ameet R. Jagesar, Martijn Otten, Heder J. de Vries, Diederik Gommers, Olaf L. Cremer, Rob J. Bosman, Sander Rigter, Evert-Jan Wils, Tim Frenzel, Dave A. Dongelmans, Remko de Jong, Marco A. A. Peters, Marlijn J. A. Kamps, Dharmanand Ramnarain, Ralph Nowitzky, Fleur G. C. A. Nooteboom, Wouter de Ruijter, Louise C. Urlings-Strop, Ellen G. M. Smit, D. Jannet Mehagnoul-Schipper, Tom Dormans … & Paul W. G. Elbers
Abstract Background For mechanically ventilated critically ill COVID-19 patients, prone positioning has quickly become an important treatment strategy, however, prone positioning is labor intensive and comes with potential adverse effects. Therefore, identifying which critically ill intubated COVID-19 patients will benefit may help allocate labor resources. Methods From the multi-center Dutch Data Warehouse of COVID-19 ICU patients from 25 hospitals, we selected all 3619 episodes of prone positioning in 1142 invasively mechanically ventilated patients. We excluded...

Protocol for extraction

Loukia Spineli, Chrysostomos Kalyvas, Svenja E. Seide & Katerina Papadimitropoulou
Extraction protocol for the research study 'Low awareness of the transitivity assumption in complex networks of interventions: empirical evidence from 356 network meta-analyses'.

Additional file 2 of Absence of Epstein-Barr virus DNA in anti-citrullinated protein antibody-expressing B cells of patients with rheumatoid arthritis

Sanne Kroos, Arieke S. B. Kampstra, René E. M. Toes, Linda M. Slot & Hans U. Scherer
Additional file 2: Supplementary figure 2. BNRF1 is undetectable in SF antigen-specific ACPA-expressing B cells. Left: B2M copies in DNA of SF IgG memory B cells and ACPA-expressing B cells as detected by qPCR. Right: no detection of BNRF1 by qPCR in DNA of SF IgG memory B cells, ACPA-expressing B cells and CD40L feeder cells only. Each dot represents a pool of 20 cells isolated directly into lysis buffer, from one donor. qPCR experiments...

Absence of Epstein-Barr virus DNA in anti-citrullinated protein antibody-expressing B cells of patients with rheumatoid arthritis

Sanne Kroos, Arieke S. B. Kampstra, René E. M. Toes, Linda M. Slot & Hans U. Scherer
Abstract Objective Rheumatoid arthritis (RA) is characterized by the presence of disease-specific autoreactive B cell responses, in particular those generating anti-citrullinated protein antibodies (ACPA). For many years, Epstein-Barr virus (EBV) has been implicated in disease pathogenesis, possibly by facilitating the development and persistence of autoreactive B cells. To test this hypothesis, the presence of EBV episomes in ACPA-expressing B cells was analyzed. Methods ACPA-expressing B cells derived from peripheral blood (PB) of seven EBV-seropositive RA...

Additional file 3 of Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Additional file 3: Propagation walkscores of 127 proxy protein-coding genes in the TCGA-BRCA cohort.

Additional file 4 of Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Additional file 4: Canonical pathways, diseases and functions associated with the 127 proxy protein-coding genes.

Additional file 2 of Identified or conflicted: a latent class and regression tree analysis explaining how identity constructs cluster within smokers

E. Meijer, W. A. Gebhardt, C. van Laar, N. H. Chavannes & B. van den Putte
Additional file 2: Scores on the explanatory variables in lower, middle and higher SES-groups.

Additional file 6 of Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Additional file 6: Prognostic value of ICR classifier across solid cancers. Forest plot showing HRs for death (overall survival) and corresponding 95%-confidence interval for the continuous ICR score and number of patients for each TCGA cancer cohort and RAQA breast cancer cohort. Significant positive HRs are visualized in blue and significant negative HRs are visualized in red. ICR enabled (HR < 1, p-value < 0.05) cancer types are indicated with orange asterisks and ICR disabled...

Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Abstract Background Advances in our understanding of the tumor microenvironment have radically changed the cancer field, highlighting the emerging need for biomarkers of an active, favorable tumor immune phenotype to aid treatment stratification and clinical prognostication. Numerous immune-related gene signatures have been defined; however, their prognostic value is often limited to one or few cancer types. Moreover, the area of non-coding RNA as biomarkers remains largely unexplored although their number and biological roles are rapidly...

Additional file 7 of Immune-related 3-lncRNA signature with prognostic connotation in a multi-cancer setting

Shimaa Sherif, Raghvendra Mall, Hossam Almeer, Adviti Naik, Abdulaziz Al Homaid, Remy Thomas, Jessica Roelands, Sathiya Narayanan, Mahmoud Gasim Mohamed, Shahinaz Bedri, Salha Bujassoum Al-Bader, Kulsoom Junejo, Davide Bedognetti, Wouter Hendrickx & Julie Decock
Additional file 7: Akaike information criterion (AIC), delta AIC, and HRs for death (overall survival) and corresponding 95%-confidence interval for ICR and 3 ir-lncRNA signature in 18 solid cancer TCGA datasets and RAQA cohort.

Additional file 2 of Plasma proteome profiling identifies changes associated to AD but not to FTD

R. Babapour Mofrad, M. del Campo, C. F. W. Peeters, L. H. H. Meeter, H. Seelaar, M. Koel-Simmelink, I. H. G. B. Ramakers, H. A. M. Middelkoop, P. P. De Deyn, J. A. H. R. Claassen, J. C. van Swieten, C. Bridel, J. J. M. Hoozemans, P. Scheltens, W. M. van der Flier, Y. A. L. Pijnenburg & Charlotte E. Teunissen
Additional file 2.

Additional file 2 of Plasma proteome profiling identifies changes associated to AD but not to FTD

R. Babapour Mofrad, M. del Campo, C. F. W. Peeters, L. H. H. Meeter, H. Seelaar, M. Koel-Simmelink, I. H. G. B. Ramakers, H. A. M. Middelkoop, P. P. De Deyn, J. A. H. R. Claassen, J. C. van Swieten, C. Bridel, J. J. M. Hoozemans, P. Scheltens, W. M. van der Flier, Y. A. L. Pijnenburg & Charlotte E. Teunissen
Additional file 2.

Additional file 1 of The lower airways microbiota and antimicrobial peptides indicate dysbiosis in sarcoidosis

Kristel S. Knudsen, Sverre Lehmann, Rune Nielsen, Solveig Tangedal, Andreu Paytuvi-Gallart, Walter Sanseverino, Einar M. H. Martinsen, Pieter S. Hiemstra & Tomas M. Eagan
Additional file 1. Supplementary Methods.

Additional file 2 of The lower airways microbiota and antimicrobial peptides indicate dysbiosis in sarcoidosis

Kristel S. Knudsen, Sverre Lehmann, Rune Nielsen, Solveig Tangedal, Andreu Paytuvi-Gallart, Walter Sanseverino, Einar M. H. Martinsen, Pieter S. Hiemstra & Tomas M. Eagan
Additional file 2: Supplementary Table 1. Comparison of beta diversity by pairwise PERMANOVA between the sarcoidosis patients and controls for fungal and bacterial taxa sampled by different methods* and assessed by different beta diversity metrices. Supplementary Table 2. Spearman's correlation coefficients (rho) and p-values for differences in alpha diversity correlated with antimicrobial peptides.

The lower airways microbiota and antimicrobial peptides indicate dysbiosis in sarcoidosis

Kristel S. Knudsen, Sverre Lehmann, Rune Nielsen, Solveig Tangedal, Andreu Paytuvi-Gallart, Walter Sanseverino, Einar M. H. Martinsen, Pieter S. Hiemstra & Tomas M. Eagan
Abstract Background The role of the pulmonary microbiome in sarcoidosis is unknown. The objectives of this study were the following: (1) examine whether the pulmonary fungal and bacterial microbiota differed in patients with sarcoidosis compared with controls; (2) examine whether there was an association between the microbiota and levels of the antimicrobial peptides (AMPs) in protected bronchoalveolar lavage (PBAL). Methods Thirty-five sarcoidosis patients and 35 healthy controls underwent bronchoscopy and were sampled with oral wash...

Additional file 3 of Lost in explanation: internal conflicts in the discourse of ADHD psychoeducation

Myrte J. M. van Langen, Rebeka Szőke, Dominique N. J. Rijkelijkhuizen, Sarah Durston & Branko M. van Hulst
Additional file 3. Examples of internal conflicts in ADHD psychoeducation.

Additional file 1 of Exogenous ABA and IAA modulate physiological and hormonal adaptation strategies in Cleistocalyx operculatus and Syzygium jambos under long-term waterlogging conditions

El-Hadji Malick Cisse, Juan Zhang, Da-Dong Li, Ling-Feng Miao, Li-Yan Yin & Fan Yang
Additional file 1.

Additional file 2 of Exogenous ABA and IAA modulate physiological and hormonal adaptation strategies in Cleistocalyx operculatus and Syzygium jambos under long-term waterlogging conditions

El-Hadji Malick Cisse, Juan Zhang, Da-Dong Li, Ling-Feng Miao, Li-Yan Yin & Fan Yang
Additional file 2.

Additional file 3 of Exogenous ABA and IAA modulate physiological and hormonal adaptation strategies in Cleistocalyx operculatus and Syzygium jambos under long-term waterlogging conditions

El-Hadji Malick Cisse, Juan Zhang, Da-Dong Li, Ling-Feng Miao, Li-Yan Yin & Fan Yang
Additional file 3.

Additional file 5 of Exogenous ABA and IAA modulate physiological and hormonal adaptation strategies in Cleistocalyx operculatus and Syzygium jambos under long-term waterlogging conditions

El-Hadji Malick Cisse, Juan Zhang, Da-Dong Li, Ling-Feng Miao, Li-Yan Yin & Fan Yang
Additional file 5.

Additional file 2 of In-hospital initiation of PCSK9 inhibitor and short-term lipid control in patients with acute myocardial infarction

Bowen Lou, Hui Liu, Yongbai Luo, Gulinigaer Tuerhong Jiang, Haoyu Wu, Chen Wang, Yue Wu, Bo Zhou, Zuyi Yuan, Jianqing She & Junhui Liu
Additional file 2: Fig. S2. Jitter and hist plots (triple therapy-based PSM).

Additional file 3 of In-hospital initiation of PCSK9 inhibitor and short-term lipid control in patients with acute myocardial infarction

Bowen Lou, Hui Liu, Yongbai Luo, Gulinigaer Tuerhong Jiang, Haoyu Wu, Chen Wang, Yue Wu, Bo Zhou, Zuyi Yuan, Jianqing She & Junhui Liu
Additional file 3: Table. S1. Summary of statin plus evolocumab therapy-based PSM.

Additional file 2 of Structural tissue damage and 24-month progression of semi-quantitative MRI biomarkers of knee osteoarthritis in the IMI-APPROACH cohort

Frank W. Roemer, Mylène Jansen, Anne C. A. Marijnissen, Ali Guermazi, Rafael Heiss, Susanne Maschek, Agnes Lalande, Francisco J. Blanco, Francis Berenbaum, Lotte A. van de Stadt, Margreet Kloppenburg, Ida K. Haugen, Christoph H. Ladel, Jaume Bacardit, Anna Wisser, Felix Eckstein, Floris P. J. G. Lafeber, Harrie H. Weinans & Wolfgang Wirth
Additional file 2.

Registration Year

  • 2023
    42
  • 2022
    185
  • 2021
    13
  • 2020
    4
  • 2019
    7
  • 2018
    8
  • 2017
    4
  • 2016
    3
  • 2014
    3
  • 2013
    2

Resource Types

  • Text
    122
  • Dataset
    73
  • Collection
    56
  • Image
    16
  • Audiovisual
    2
  • Other
    2
  • Journal Article
    1

Affiliations

  • Leiden University Medical Center
    272
  • Shanghai Jiao Tong University
    53
  • Chinese Academy of Medical Sciences & Peking Union Medical College
    52
  • University of Science and Technology of China
    51
  • Zhejiang University
    47
  • University Medical Center Utrecht
    40
  • University of Chinese Academy of Sciences
    38
  • Chinese University of Hong Kong
    36
  • Fourth Hospital of Hebei Medical University
    36
  • Shenzhen University
    36