Editorial Material
Hematology
Isabelle Plo, William Vainchenker
Summary: In this study, it was reported that interferon lambda 4 (IFNL4) plays a significant role as a genetic determinant of interferon-alpha (IFN-alpha)-induced molecular response (MR) in myeloproliferative neoplasms (MPNs), leading to better patient stratification.
Article
Biochemistry & Molecular Biology
Liam Gaziano, Claudia Giambartolomei, Alexandre C. Pereira, Anna Gaulton, Daniel C. Posner, Sonja A. Swanson, Yuk-Lam Ho, Sudha K. Iyengar, Nicole M. Kosik, Marijana Vujkovic, David R. Gagnon, A. Patricia Bento, Inigo Barrio-Hernandez, Lars Ronnblom, Niklas Hagberg, Christian Lundtoft, Claudia Langenberg, Maik Pietzner, Dennis Valentine, Stefano Gustincich, Gian Gaetano Tartaglia, Elias Allara, Praveen Surendran, Stephen Burgess, Jing Hua Zhao, James E. Peters, Bram P. Prins, Emanuele Di Angelantonio, Poornima Devineni, Yunling Shi, Kristine E. Lynch, Scott L. DuVall, Helene Garcon, Lauren O. Thomann, Jin J. Zhou, Bryan R. Gorman, Jennifer E. Huffman, Christopher J. O'Donnell, Philip S. Tsao, Jean C. Beckham, Saiju Pyarajan, Sumitra Muralidhar, Grant D. Huang, Rachel Ramoni, Pedro Beltrao, John Danesh, Adriana M. Hung, Kyong-Mi Chang, Yan V. Sun, Jacob Joseph, Andrew R. Leach, Todd L. Edwards, Kelly Cho, J. Michael Gaziano, Adam S. Butterworth, Juan P. Casas
Summary: Large-scale Mendelian randomization and colocalization analyses using gene expression and soluble protein data identified IFNAR2 and ACE2 as promising therapeutic targets for early management of COVID-19. Repurposing drugs offers a rapid solution to address the urgent need for therapeutic interventions against COVID-19.
Article
Virology
Qiong Zhou, Michael R. MacArthur, Xinliang He, Xiaoshan Wei, Payam Zarin, Bola S. Hanna, Zi-Hao Wang, Xuan Xiang, Eleanor N. Fish
Summary: The study found that treatment with interferon-alpha 2b can limit the development of lung abnormalities associated with COVID-19 and identified clinical and immune parameters associated with worsening lung abnormalities. These parameters include low CD8+ T cell numbers, low levels of circulating albumin, high numbers of platelets, and higher levels of circulating interleukin (IL)-10, IL-6, and C-reactive protein (CRP).
Article
Medicine, General & Internal
Andreas Barratt-Due, Inge Christoffer Olsen, Katerina Nezvalova-Henriksen, Trine Kasine, Fridtjof Lund-Johansen, Hedda Hoel, Aleksander Rygh Holten, Anders Tveita, Alexander Mathiessen, Mette Haugli, Ragnhild Eiken, Anders Benjamin Kildal, Ase Berg, Asgeir Johannessen, Lars Heggelund, Tuva Borresdatter Dahl, Karoline Hansen Skara, Pawel Mielnik, Lan Ai Kieu Le, Lars Thoresen, Gernot Ernst, Dag Arne Lihaug Hoff, Hilde Skudal, Bard Reiakvam Kittang, Roy Bjorkholt Olsen, Birgitte Tholin, Carl Magnus Ystrom, Nina Vibeche Skei, Trung Tran, Susanne Dudman, Jan Terje Andersen, Raisa Hannula, Olav Dalgard, Ane-Kristine Finbraten, Kristian Tonby, Bjorn Blomberg, Saad Aballi, Cathrine Fladeby, Anne Steffensen, Fredrik Muller, Anne Ma Dyrhol-Riise, Marius Troseid, Pal Aukrust
Summary: A randomized controlled trial conducted in 23 hospitals in Norway found that remdesivir and hydroxychloroquine did not affect viral clearance in hospitalized COVID-19 patients. There was also no impact on mortality, degree of respiratory failure, or inflammatory variables.
ANNALS OF INTERNAL MEDICINE
(2021)
Article
Immunology
Dan Ma, Ximin Wang, Min Li, Chujiao Hu, Lei Tang
Summary: Periodic pandemics of coronavirus-related pneumonia have been a significant challenge since the outbreak of SARS and MERS. The ongoing COVID-19 pandemic poses a substantial threat to public health. Limited antiviral agents have been approved, and IFNs have shown promising outcomes in the treatment of SARS-CoV or MERS-CoV, but their efficacy and safety in COVID-19 treatment remain unclear.
INTERNATIONAL IMMUNOPHARMACOLOGY
(2023)
Article
Infectious Diseases
Shu-Min Lin, Chung-Shu Lee, Allen Chung-Cheng Huang, Tzu-Hsuan Chiu, Ko-Wei Chang, Tse-Hung Huang, Tsung-Hsien Yang, Yi-Hsien Shiao, Fu-Tsai Chung, Chyi-Liang Chen, Cheng-Hsun Chiu
Summary: This study investigated the outcomes and predictors of early viral clearance among patients with COVID-19. The use of dexamethasone and the Ct values on the first day were identified as independent factors associated with delayed viral clearance. Patients with severe disease course had a similar duration to Ct value >= 30 regardless of dexamethasone therapy.
INTERNATIONAL JOURNAL OF INFECTIOUS DISEASES
(2023)
Article
Health Care Sciences & Services
Shaher M. Samrah, Abdel-Hameed Al-Mistarehi, Tariq Kewan, Sohaib M. Al-Khatib, Ali M. Ibnian, Randa S. Samrah, Basheer Y. Khassawneh
Summary: This study conducted in Northern Jordan investigated the incubation period and viral clearance time of COVID-19 hospitalized cases. The median incubation period was 6 days and the median viral clearance time was 13 days. Symptomatic presentation and abnormal chest radiograph were predictors for a prolonged viral clearance time.
JOURNAL OF MULTIDISCIPLINARY HEALTHCARE
(2021)
Article
Medicine, General & Internal
Tongyang Xiao, Yanrong Wang, Jing Yuan, Haocheng Ye, Lanlan Wei, Xuejiao Liao, Haiyan Wang, Shen Qian, Zhaoqin Wang, Lei Liu, Zheng Zhang
Summary: Research indicates that younger COVID-19 patients tend to be asymptomatic carriers, with early clearance of the SARS-CoV-2 virus and lower levels of IgM generation, but higher total antibody, IgG, and IgA levels.
FRONTIERS IN MEDICINE
(2021)
Article
Immunology
Stefania Campana, Claudia De Pasquale, Giacomo Sidoti Migliore, Gaetana Pezzino, Riccardo Cavaliere, Emmanuele Venanzi Rullo, Giuseppe Nunnari, Gaetano Caramori, Antonio David, Irene Bonaccorsi, Teresa Pollicino, Paolo Carrega, Guido Ferlazzo
Summary: The frequency of CD56(+) monocytes in COVID-19 patients is inversely correlated with disease severity and mortality, making it a potential prognostic marker and therapeutic target for COVID-19 control.
JOURNAL OF IMMUNOLOGY
(2022)
Article
Infectious Diseases
Hong Zhao, Huilan Tu, Xia Yu, Junwei Su, Xuan Zhang, Kaijin Xu, Yu Shi, Yunqing Qiu, Jifang Sheng
Summary: The aim of this study was to analyze the potential risk factors for delayed virus clearance in hospitalized patients with COVID-19. The results showed that the clearance of viral RNA in sputum was delayed in severe COVID-19 patients, especially those with lower virus cycle threshold (CT) values. Antivirals with darunavir/cobicistat did not have a significant advantage in eliminating SARS-CoV-2.
INFECTION AND DRUG RESISTANCE
(2022)
Review
Immunology
Mykhailo Buchynskyi, Iryna Kamyshna, Katerina Lyubomirskaya, Olena Moshynets, Nazarii Kobyliak, Valentyn Oksenych, Aleksandr Kamyshnyi
Summary: This meta-analysis found that IFN-a intervention does not benefit the survival of hospitalized COVID-19 patients but may increase the number of patients discharged from the hospital.
FRONTIERS IN IMMUNOLOGY
(2023)
Article
Cell Biology
Mihaela Zlei, Igor A. Sidorov, Simone A. Joosten, Mirjam H. M. Heemskerk, Sebenzile K. Myeni, Cilia R. Pothast, Caroline S. de Brouwer, A. Linda Boomaars-van der Zanden, Krista E. van Meijgaarden, Shessy T. Morales, Els Wessels, Jacqueline J. Janse, Jelle J. Goeman, Christa M. Cobbaert, Aloys C. M. Kroes, Suzanne C. Cannegieter, Meta Roestenberg, Leonardus G. Visser, Marjolein Kikkert, Mariet C. W. Feltkamp, Sesmu M. Arbous, Frank J. T. Staal, Tom H. M. Ottenhoff, Jacques J. M. van Dongen, Anna H. E. Roukens, Jutte J. C. de Vries
Summary: This study highlights the importance of immune responses in determining disease severity and viral clearance after SARS-CoV-2 infection. Delayed viral clearance is associated with more severe disease, higher levels of neutralising antibodies, and ongoing immune activation. Early viral clearance and less critical illness are correlated with peak neutralising antibodies, higher levels of CD4 T cells, and particularly naive CD4+ T cells, suggesting their role in early control of the virus.
Article
Immunology
Alessandra Aiello, Adriano Grossi, Silvia Meschi, Marcello Meledandri, Valentina Vanini, Linda Petrone, Rita Casetti, Gilda Cuzzi, Andrea Salmi, Anna Maria Altera, Luca Pierelli, Gina Gualano, Tommaso Ascoli Bartoli, Concetta Castilletti, Chiara Agrati, Enrico Girardi, Fabrizio Palmieri, Emanuele Nicastri, Enrico Di Rosa, Delia Goletti
Summary: This study aimed to characterize the early immune responses to SARS-CoV-2 infection in household contacts of COVID-19 cases. The findings showed that plasmatic IFN-alpha and IFN-gamma T-cell specific response could appear early in the absence of seroconversion, and had a higher positivity rate compared to the serological response in individuals with positive swabs.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Multidisciplinary Sciences
Jose Maria R. Saponi-Cortes, Maria Dolores Rivas, Fernando Calle-Alonso, Juan F. Sanchez, Alberto Costo, Carlos Martin, Jose Zamorano
Summary: The study revealed a close relationship between specific genetic variants of IFNL4 and COVID-19 patients, suggesting that the T allele may be a risk factor for COVID-19, while the CC genotype is significantly lower in COVID-19 patients.
SCIENTIFIC REPORTS
(2021)
Article
Critical Care Medicine
Jordan J. Feld, Christopher Kandel, Mia J. Biondi, Robert A. Kozak, Muhammad Atif Zahoor, Camille Lemieux, Sergio M. Borgia, Andrea K. Boggild, Jeff Powis, Janine McCready, Darrell H. S. Tan, Tiffany Chan, Bryan Coburn, Deepali Kumar, Atul Humar, Adrienne Chan, Braden O'Neil, Seham Noureldin, Joshua Booth, Rachel Hong, David Smookler, Wesam Aleyadeh, Anjali Patel, Bethany Barber, Julia Casey, Ryan Hiebert, Henna Mistry, Ingrid Choong, Colin Hislop, Deanna M. Santer, D. Lorne Tyrrell, Jeffrey S. Glenn, Adam J. Gehring, Harry L. A. Janssen, Bettina E. Hansen
Summary: The study investigated the safety and efficacy of peginterferon lambda in treating outpatients with mild-to-moderate COVID-19. Results showed that patients treated with peginterferon lambda had a faster decline in viral RNA and were more likely to clear the virus by day 7 compared to the placebo group.
LANCET RESPIRATORY MEDICINE
(2021)
Retraction
Oncology
Liyu Chen, Yanbin Liu, Weiya Wang, Kai Liu
Article
Biochemistry & Molecular Biology
John P. Guilinger, Archna Archana, Martin Augustin, Andreas Bergmann, Paolo A. Centrella, Matthew A. Clark, John W. Cuozzo, Maike Daether, Marie-Aude Guie, Sevan Habeshian, Reiner Kiefersauer, Stephan Krapp, Alfred Lammens, Lukas Lercher, Julie Liu, Yanbin Liu, Klaus Maskos, Michael Mrosek, Klaus Pfluegler, Markus Siegert, Heather A. Thomson, Xia Tian, Ying Zhang, Debora L. Konz Makino, Anthony . D. Keefe
Summary: Libraries of DNA-encoded small molecules created through combinatorial chemistry and synthetic oligonucleotides are utilized in drug discovery projects, with a focus on reversible target modulators. By synthesizing DNA-encoded chemical libraries terminated in electrophiles, we discovered covalent irreversible inhibitors and demonstrated their selectivity, potency, and covalent cysteine engagement. The epoxide BTK inhibitors described are the first reported to use this electrophile for this target.
BIOORGANIC & MEDICINAL CHEMISTRY
(2021)
Article
Cell Biology
Long Gao, Yuan Liu, Xiaohong Du, Sai Ma, Minmin Ge, Haijun Tang, Chenfeng Han, Xin Zhao, Yanbin Liu, Yun Shao, Zhao Wu, Lianjun Zhang, Fang Meng, F. Xiao-Feng Qin
Summary: The upregulation of tumor-associated CD38 in lung adenocarcinoma is correlated with poor survival of patients, and facilitates cancer cell migration, proliferation, colony formation, and tumor development. Inhibition of CD38's enzymatic activity may represent an important strategy for preventing tumor progression.
CELL DEATH & DISEASE
(2021)
Article
Infectious Diseases
Yanbin Liu, Yanling Xiao, Songjie Wu, Gifty Marley, Fangzhao Ming, Xiaoya Wang, Mengmeng Wu, Ling Feng, Weiming Tang, Ke Liang
Summary: In COVID-19 patients, individuals living with HIV had a lower and shorter duration of IgG seroconversion for SARS-CoV-2 compared to HIV-naive individuals.
BMC INFECTIOUS DISEASES
(2021)
Article
Computer Science, Interdisciplinary Applications
Yanbin Liu, Girish Dwivedi, Farid Boussaid, Frank Sanfilippo, Makoto Yamada, Mohammed Bennamoun
Summary: This article proposes a novel GAN model, called 3D Split & Shuffle-GAN, for the training of 3D medical image generation models. By pre-training a 2D model and optimizing the 3D network architecture, the quality of image generation is improved while reducing the number of parameters. Experimental results show that this method leads to improved image generation quality with significantly fewer parameters.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2023)
Article
Chemistry, Physical
Xinyu Gu, K. W. See, Yanbin Liu, Bilal Arshad, Liang Zhao, Yunpeng Wang
Summary: In this study, a novel Time-Series Wasserstein Generative Adversarial Network (TS-WGAN) is proposed for the state-of-charge (SOC) estimation of lithium-ion batteries. The approach includes a well-designed data preprocessing process and a distinctive WGAN-GP architecture. The TS-WGAN model outperforms baseline methods in terms of accuracy, stability, and robustness, with a coefficient of determination (R2) exceeding 99.50% for both real-road and laboratory datasets, demonstrating its potential for practical applications.
JOURNAL OF POWER SOURCES
(2023)
Article
Computer Science, Artificial Intelligence
Changlu Chen, Yanbin Liu, Ling Chen, Chengqi Zhang
Summary: Urban traffic forecasting is essential for intelligent transportation systems. This study introduces a bidirectional spatial-temporal adaptive transformer (Bi-STAT) that effectively addresses two intrinsic properties of the traffic forecasting problem. Experimental results demonstrate the superiority of Bi-STAT over existing methods.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Mathis Petrovich, Chao Liang, Ryoma Sato, Yanbin Liu, Yao-Hung Hubert Tsai, Linchao Zhu, Yi Yang, Ruslan Salakhutdinov, Makoto Yamada
Summary: This paper proposes a feature-robust optimal transport (FROT) method for high-dimensional data, which solves high-dimensional optimal transport problems using feature selection. By finding a set of discriminative features, it achieves state-of-the-art performance in real-world semantic correspondence datasets.
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2022, PT V
(2023)
Article
Computer Science, Artificial Intelligence
Yanbin Liu, Linchao Zhu, Xiaohan Wang, Makoto Yamada, Yi Yang
Summary: This article proposes the bilaterally normalized scale-consistent Sinkhorn distance (BSSD) method to solve the mismatch issues in few-shot image classification. By using the Sinkhorn distance for optimal matching and bilateral normalization, it effectively mitigates object mismatch caused by misalignment and cluttered background. Moreover, the local feature maps are enhanced with a multiscale pooling strategy, enabling the Sinkhorn distance to find a consistent matching scale. Experimental results demonstrate the effectiveness of the proposed approach, achieving state-of-the-art performance on three few-shot benchmarks.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Jiahao Zhang, Anoop Cherian, Yanbin Liu, Yizhak Ben-Shabat, Cristian Rodriguez, Stephen Gould
Summary: Multimodal alignment is important for retrieving instances across different modalities. This paper presents a novel setting where assembly diagrams and video segments are aligned, and proposes a supervised contrastive learning approach with novel losses to achieve accurate alignment. The authors also introduce a new dataset, IAW, for evaluating their method and define two tasks on this dataset.
2023 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
Summary: In this study, we propose a novel Diminishing Empirical Risk Minimization (DERM) framework to address the limitations of DNN-based anomaly detection methods. DERM adaptively adjusts the impact of individual losses to suppress the influence of outliers, resulting in a robust anomaly detector.
2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Yanbin Liu, Juho Lee, Linchao Zhu, Ling Chen, Humphrey Shi, Yi Yang
Summary: This paper proposes a parameter-efficient multi-mode modulator to address the challenges of generating multi-domain feature representation and exploring domain correlations in the context of multi-domain few-shot classification. By dividing modulation parameters into domain-specific and domain-cooperative sets, and using separative selection and cooperative query modules, it efficiently generates domain-aware features. Furthermore, it explores intra-domain information and inter-domain correlations to enhance cross-domain generalization, achieving state-of-the-art results on the META-DATASET benchmark.
2021 IEEE/CVF INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV 2021)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Shaoshen Wang, Yanbin Liu, Ling Chen, Chengqi Zhang
Summary: The proposed CGAEs model effectively detects two types of multi-view anomalies, including attribute anomalies and class anomalies. Through the cross-reconstruction module and view-alignment module, the CGAEs model can detect anomalies in the latent space and improve model robustness through Gumbel-refactored reconstruction loss.
2021 IEEE 33RD INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2021)
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Yanbin Liu, Makoto Yamada, Yao-Hung Hubert Tsai, Tam Le, Ruslan Salakhutdinov, Yi Yang
Summary: The proposed method introduces a semi-supervised Squared-loss Mutual Information (SMI) estimation approach using a small number of paired samples and available unpaired ones, demonstrating the ability to estimate mutual information without a large number of paired samples. The LSMI-Sinkhorn algorithm shows effectiveness in various machine learning problems.
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES
(2021)
Meeting Abstract
Oncology
Yanbin Liu, Yan Gao, Yun Shao, Fang Meng, Huiqiang Huang, Frank Xiaofeng Qin
