Xiaohua Duan1,2, Hui Wang2, David D Ho3, Robert E Schwartz4,5, Todd Evans1, Shuibing Chen1. 1. Department of Surgery, Weill Cornell Medicine, 1300 York Ave., New York, NY 10065, USA. 2. State Key Laboratory of Oncogenes and Related Genes, Center for Single-Cell Omics, School of Public Health, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China. 3. Aaron Diamond AIDS Research Center, Columbia University Vagelos College of Physicians and Surgeons, New York, NY 10032, USA. 4. Division of Gastroenterology and Hepatology, Department of Medicine, Weill Cornell Medicine, 1300 York Ave., New York, NY 10065, USA. 5. Department of Physiology, Biophysics and Systems Biology, Weill Cornell Medicine, 1300 York Ave., New York, NY 10065, USA.
Coronavirus disease 2019 (COVID-19) has been an ongoing public health crisis since the end of 2019; besides vaccine development, there have been major research efforts focused on developing antiviral therapeutics. Remdesivir was the first US Food and Drug Administration (FDA)-approved antiviral drug for COVID-19. Subsequently, the FDA granted emergency use authorization (EUA) for three monoclonal antibody treatments, including sotrovimab or a combination of casirivimab and imdevimab, or bamlanivimab and etesevimab, each of which targets the coronavirus spike protein to block viral entry. Most recently, Britain granted conditional authorization for the ribonucleoside analog molnupiravir, developed by Merck as a viral replication inhibitor. The protease inhibitor PF-07321332 developed by Pfizer and boosted by ritonavir showed promising results in a phase III clinical trial, reducing the risk of hospitalization or death by 89% compared with placebo.Despite tremendous research efforts to combat the pandemic, there remains a need to better understand the viral life cycle and host response in disease-relevant models. Cell-based models have been developed to study viral entry, life cycle, tropism, and pathogenesis. The African green monkey Vero E6 cell line expresses the ACE2 entry receptor and is commonly used to study virus entry and expansion (Hoffmann et al., 2020). The human cell lines HEK293T, Calu-3, Caco-2, and Huh7 are also permissive for viral infection in vitro (Chu et al., 2020). However, as these models are derived from human cancers or are quite different from their initial cell of origin, they do not accurately mimic human physiological and pathological responses. Human primary cells (Hou et al., 2020) and adult organoids (Lamers et al., 2020; Salahudeen et al., 2020) may better model SARS-CoV-2 infection, but are limited by the scale for what is required for high-throughput drug screening. Organoids derived from human pluripotent stem cells (hPSCs) overcome such limitations, as they can be used to study infection of relevant normal human tissues and can be scaled for COVID-19 disease modeling and drug discovery (Yang et al., 2020; Duan et al., 2021; Han et al., 2021).In the recent publication entitled ‘An airway organoid-based screen identifies a role for the HIF1α‒glycolysis axis in SARS-CoV-2 infection’ (Duan et al., 2021), we developed a modified protocol to generate airway organoids from hPSCs (hPSC-AOs). Single-cell RNA sequencing (scRNA-seq) profiling showed that the organoids have a cellular composition similar to the adult human airway counterpart. Morphologically, hPSC-AOs contain beating cilia, a typical characteristic of adult airway tissue. Immunostaining and scRNA-seq data showed that ACE2 is expressed in acetyl-α-tubulin+FOXJ1+ ciliated-like cells. The hPSC-AOs are permissive to SARS-CoV-2 infection, and the ciliated cells are the main target, consistent with primary tissue data (Hou et al., 2020).We then performed a high-content chemical screen using hPSC-AOs to identify antiviral drugs. One compound, GW6471, was validated to decrease viral infection in a dose-dependent manner, independent of cytotoxicity. GW6471 also inhibited infection of hPSC-AOs by the B.1.351 SARS-CoV-2 variant, as well as inhibiting infection of hPSC-derived colon organoids. There-fore, GW6471 displays broad-spectrum anti-SARS-CoV-2 activity in multiple tissues.Transcriptomic and metabolic profiling was applied to investigate the GW6471 mechanism of action. GW6471 was found to inhibit the hypoxia inducible factor 1 subunit alpha (HIF1α) pathway when hPSC-AOs or hPSC-COs were treated after infection. A chemical inhibitor of HIF1α and short hairpin RNAs (shRNAs) targeting HIF1α both validated the essential role of HIF1α in permissiveness of SARS-CoV-2 infection. HIF1α is known as a classic upstream regulator of anaerobic glycolysis. Indeed, metabolic profiling identified decreased glycolysis following GW6471 treatment, consistent also with our transcriptomic profiling. Consistent with our results, a previous study of SARS-CoV-2 infected monocytes suggested that enhanced glycolysis induced by increased HIF1α levels can sustain viral replication (Codo et al., 2020). The higher rate of glycolysis leads to decreased pyruvate metabolism in the mitochondria, which is the rate-limiting intermediate metabolite in the conversion of carbohydrates into fatty acids and cholesterol. Our metabolic pro-filing data also show a lower level of fatty acid synthesis in the GW6471 treatment group. Finally, three compounds tar-geting key steps of fatty acid synthesis, including xanthohumol (an inhibitor of diacylglycerol acetyltransferase) and 5-(tetradecyloxy)-2-furoic acid and ND-646 (two inhibitors of acetyl-coA carboxylase), were confirmed to block SARS-CoV-2 infection. A recent study supports our conclusion that blocking fatty acid synthesis reduces SARS-CoV-2 infection (Chu et al., 2021). Together, transcriptomic and metabolic profiling revealed a key role for the HIF1α‒glycolysis‒fatty acid synthesis axis in mediating productive SARS-CoV-2 infection.In summary, our study presents an hPSC-AO-based model to study the interactions between host human tissues and SARS-CoV-2. By performing a high-content chemical screen and subsequent mechanistic studies, we identified a critical role for the HIF1α‒glycolysis‒fatty acid synthesis axis during SARS-CoV-2 infection, which contains several druggable targets for anti-SARS-CoV-2 drug development. Further studies are needed to develop targeting of the host metabolic state into a clinical therapeutic strategy (Figure 1).
Figure 1
Remaining challenges for the development of therapeutics to inhibit SARS-CoV-2 infection through targeting the HIF1α‒glycolysis‒fatty acid synthesis axis.
Remaining challenges for the development of therapeutics to inhibit SARS-CoV-2 infection through targeting the HIF1α‒glycolysis‒fatty acid synthesis axis.[R.E.S. is on the scientific advisory board of Miromatrix. T.E. and S.C. are the co-founders of OncoBeat.]
Authors: Ameen A Salahudeen; Shannon S Choi; Arjun Rustagi; Junjie Zhu; Vincent van Unen; Sean M de la O; Ryan A Flynn; Mar Margalef-Català; António J M Santos; Jihang Ju; Arpit Batish; Tatsuya Usui; Grace X Y Zheng; Caitlin E Edwards; Lisa E Wagar; Vincent Luca; Benedict Anchang; Monica Nagendran; Khanh Nguyen; Daniel J Hart; Jessica M Terry; Phillip Belgrader; Solongo B Ziraldo; Tarjei S Mikkelsen; Pehr B Harbury; Jeffrey S Glenn; K Christopher Garcia; Mark M Davis; Ralph S Baric; Chiara Sabatti; Manuel R Amieva; Catherine A Blish; Tushar J Desai; Calvin J Kuo Journal: Nature Date: 2020-11-25 Impact factor: 49.962
Authors: Mart M Lamers; Joep Beumer; Jelte van der Vaart; Bart L Haagmans; Hans Clevers; Kèvin Knoops; Jens Puschhof; Tim I Breugem; Raimond B G Ravelli; J Paul van Schayck; Anna Z Mykytyn; Hans Q Duimel; Elly van Donselaar; Samra Riesebosch; Helma J H Kuijpers; Debby Schipper; Willine J van de Wetering; Miranda de Graaf; Marion Koopmans; Edwin Cuppen; Peter J Peters Journal: Science Date: 2020-05-01 Impact factor: 47.728
Authors: Ana Campos Codo; Gustavo Gastão Davanzo; Lauar de Brito Monteiro; Gabriela Fabiano de Souza; Stéfanie Primon Muraro; João Victor Virgilio-da-Silva; Juliana Silveira Prodonoff; Victor Corasolla Carregari; Carlos Alberto Oliveira de Biagi Junior; Fernanda Crunfli; Jeffersson Leandro Jimenez Restrepo; Pedro Henrique Vendramini; Guilherme Reis-de-Oliveira; Karina Bispo Dos Santos; Daniel A Toledo-Teixeira; Pierina Lorencini Parise; Matheus Cavalheiro Martini; Rafael Elias Marques; Helison R Carmo; Alexandre Borin; Laís Durço Coimbra; Vinícius O Boldrini; Natalia S Brunetti; Andre S Vieira; Eli Mansour; Raisa G Ulaf; Ana F Bernardes; Thyago A Nunes; Luciana C Ribeiro; Andre C Palma; Marcus V Agrela; Maria Luiza Moretti; Andrei C Sposito; Fabrício Bíscaro Pereira; Licio Augusto Velloso; Marco Aurélio Ramirez Vinolo; André Damasio; José Luiz Proença-Módena; Robson Francisco Carvalho; Marcelo A Mori; Daniel Martins-de-Souza; Helder I Nakaya; Alessandro S Farias; Pedro M Moraes-Vieira Journal: Cell Metab Date: 2020-07-17 Impact factor: 27.287
Authors: Yixuan J Hou; Kenichi Okuda; Caitlin E Edwards; David R Martinez; Takanori Asakura; Kenneth H Dinnon; Takafumi Kato; Rhianna E Lee; Boyd L Yount; Teresa M Mascenik; Gang Chen; Kenneth N Olivier; Andrew Ghio; Longping V Tse; Sarah R Leist; Lisa E Gralinski; Alexandra Schäfer; Hong Dang; Rodney Gilmore; Satoko Nakano; Ling Sun; M Leslie Fulcher; Alessandra Livraghi-Butrico; Nathan I Nicely; Mark Cameron; Cheryl Cameron; David J Kelvin; Aravinda de Silva; David M Margolis; Alena Markmann; Luther Bartelt; Ross Zumwalt; Fernando J Martinez; Steven P Salvatore; Alain Borczuk; Purushothama R Tata; Vishwaraj Sontake; Adam Kimple; Ilona Jaspers; Wanda K O'Neal; Scott H Randell; Richard C Boucher; Ralph S Baric Journal: Cell Date: 2020-05-27 Impact factor: 41.582
Authors: Markus Hoffmann; Hannah Kleine-Weber; Simon Schroeder; Nadine Krüger; Tanja Herrler; Sandra Erichsen; Tobias S Schiergens; Georg Herrler; Nai-Huei Wu; Andreas Nitsche; Marcel A Müller; Christian Drosten; Stefan Pöhlmann Journal: Cell Date: 2020-03-05 Impact factor: 41.582
Authors: Yuling Han; Xiaohua Duan; Liuliu Yang; Benjamin E Nilsson-Payant; Pengfei Wang; Fuyu Duan; Xuming Tang; Tomer M Yaron; Tuo Zhang; Skyler Uhl; Yaron Bram; Chanel Richardson; Jiajun Zhu; Zeping Zhao; David Redmond; Sean Houghton; Duc-Huy T Nguyen; Dong Xu; Xing Wang; Jose Jessurun; Alain Borczuk; Yaoxing Huang; Jared L Johnson; Yuru Liu; Jenny Xiang; Hui Wang; Lewis C Cantley; Benjamin R tenOever; David D Ho; Fong Cheng Pan; Todd Evans; Huanhuan Joyce Chen; Robert E Schwartz; Shuibing Chen Journal: Nature Date: 2020-10-28 Impact factor: 49.962