Usage Information
Citation Information: J Clin Invest. 2020;130(6):2789-2799. https://doi.org/10.1172/JCI136288.
Abstract
The critical role of suppressive myeloid cells in immune regulation has come to the forefront in cancer research, with myeloid-derived suppressor cells (MDSCs) as a main oncology immunotherapeutic target. Recent improvement and standardization of criteria classifying tumor-induced MDSCs have led to unified descriptions and also promoted MDSC research in tuberculosis (TB) and AIDS. Despite convincing evidence on the induction of MDSCs by pathogen-derived molecules and inflammatory mediators in TB and AIDS, very little attention has been given to their therapeutic modulation or roles in vaccination in these diseases. Clinical manifestations in TB are consequences of complex host-pathogen interactions and are substantially affected by HIV infection. Here we summarize the current understanding and knowledge gaps regarding the role of MDSCs in HIV and Mycobacterium tuberculosis (co)infections. We discuss key scientific priorities to enable application of this knowledge to the development of novel strategies to improve vaccine efficacy and/or implementation of enhanced treatment approaches. Building on recent findings and potential for cross-fertilization between oncology and infection biology, we highlight current challenges and untapped opportunities for translating new advances in MDSC research into clinical applications for TB and AIDS.
Authors
Anca Dorhoi, Leigh A. Kotzé, Jay A. Berzofsky, Yongjun Sui, Dmitry I. Gabrilovich, Ankita Garg, Richard Hafner, Shabaana A. Khader, Ulrich E. Schaible, Stefan H.E. Kaufmann, Gerhard Walzl, Manfred B. Lutz, Robert N. Mahon, Suzanne Ostrand-Rosenberg, William Bishai, Nelita du Plessis
Usage data is cumulative from August 2024 through August 2025.
| Usage | JCI | PMC |
|---|---|---|
| Text version | 981 | 99 |
| 107 | 40 | |
| Figure | 140 | 3 |
| Citation downloads | 77 | 0 |
| Totals | 1,305 | 142 |
| Total Views | 1,447 | |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.
Copyright © 2025 American Society for Clinical Investigation
ISSN: 0021-9738 (print), 1558-8238 (online)