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Ghanem L, Essayli D, Kotaich J, Zein MA, Sahebkar A, Eid AH. Phenotypic switch of vascular smooth muscle cells in COVID-19: Role of cholesterol, calcium, and phosphate. J Cell Physiol 2024:e31424. [PMID: 39188012 DOI: 10.1002/jcp.31424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2024] [Revised: 07/11/2024] [Accepted: 08/19/2024] [Indexed: 08/28/2024]
Abstract
Although the novel coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), primarily manifests as severe respiratory distress, its impact on the cardiovascular system is also notable. Studies reveal that COVID-19 patients often suffer from certain vascular diseases, partly attributed to increased proliferation or altered phenotype of vascular smooth muscle cells (VSMCs). Although the association between COVID-19 and VSMCs is recognized, the precise mechanism underlying SARS-CoV-2's influence on VSMC phenotype remains largely under-reviewed. In this context, while there is a consistent body of literature dissecting the effect of COVID-19 on the cardiovascular system, few reports delve into the potential role of VSMC switching in the pathophysiology associated with COVID-19 and the molecular mechanisms involved therein. This review dissects and critiques the link between COVID-19 and VSMCs, with particular attention to pathways involving cholesterol, calcium, and phosphate. These pathways underpin the interaction between the virus and VSMCs. Such interaction promotes VSMC proliferation, and eventually potentiates vascular calcification as well as worsens prognosis in patients with COVID-19.
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Affiliation(s)
- Laura Ghanem
- Faculty of Medical Sciences, Lebanese University, Hadath, Lebanon
| | - Dina Essayli
- Faculty of Medical Sciences, Lebanese University, Hadath, Lebanon
| | - Jana Kotaich
- Faculty of Medical Sciences, Lebanese University, Hadath, Lebanon
- MEDICA Research Investigation, Beirut, Lebanon
| | - Mohammad Al Zein
- Faculty of Medical Sciences, Lebanese University, Hadath, Lebanon
| | - Amirhossein Sahebkar
- Center for Global Health Research, Saveetha Medical College and Hospitals, Saveetha Institute of Medical and Technical Sciences, Saveetha University, Chennai, India
- Biotechnology Research Center, Pharmaceutical Technology Institute, Mashhad University of Medical Sciences, Mashhad, Iran
- Applied Biomedical Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Ali H Eid
- Department of Basic Medical Sciences, College of Medicine, QU Health, Qatar University, Doha, Qatar
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de Fátima Cobre A, Alves AC, Gotine ARM, Domingues KZA, Lazo REL, Ferreira LM, Tonin FS, Pontarolo R. Novel COVID-19 biomarkers identified through multi-omics data analysis: N-acetyl-4-O-acetylneuraminic acid, N-acetyl-L-alanine, N-acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristate. Intern Emerg Med 2024; 19:1439-1458. [PMID: 38416303 DOI: 10.1007/s11739-024-03547-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2023] [Accepted: 01/16/2024] [Indexed: 02/29/2024]
Abstract
This study aims to apply machine learning models to identify new biomarkers associated with the early diagnosis and prognosis of SARS-CoV-2 infection.Plasma and serum samples from COVID-19 patients (mild, moderate, and severe), patients with other pneumonia (but with negative COVID-19 RT-PCR), and healthy volunteers (control) from hospitals in four different countries (China, Spain, France, and Italy) were analyzed by GC-MS, LC-MS, and NMR. Machine learning models (PCA and PLS-DA) were developed to predict the diagnosis and prognosis of COVID-19 and identify biomarkers associated with these outcomes.A total of 1410 patient samples were analyzed. The PLS-DA model presented a diagnostic and prognostic accuracy of around 95% of all analyzed data. A total of 23 biomarkers (e.g., spermidine, taurine, L-aspartic, L-glutamic, L-phenylalanine and xanthine, ornithine, and ribothimidine) have been identified as being associated with the diagnosis and prognosis of COVID-19. Additionally, we also identified for the first time five new biomarkers (N-Acetyl-4-O-acetylneuraminic acid, N-Acetyl-L-Alanine, N-Acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristate) that are also associated with the severity and diagnosis of COVID-19. These five new biomarkers were elevated in severe COVID-19 patients compared to patients with mild disease or healthy volunteers.The PLS-DA model was able to predict the diagnosis and prognosis of COVID-19 around 95%. Additionally, our investigation pinpointed five novel potential biomarkers linked to the diagnosis and prognosis of COVID-19: N-Acetyl-4-O-acetylneuraminic acid, N-Acetyl-L-Alanine, N-Acetyltriptophan, palmitoylcarnitine, and glycerol 1-myristate. These biomarkers exhibited heightened levels in severe COVID-19 patients compared to those with mild COVID-19 or healthy volunteers.
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Affiliation(s)
| | - Alexessander Couto Alves
- School of Biosciences and Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | | | | | | | - Luana Mota Ferreira
- Department of Pharmacy, Universidade Federal do Paraná, Campus III, Av. Pref. Lothário Meissner, 632, Jardim Botânico, Curitiba, PR, 80210-170, Brazil
| | - Fernanda Stumpf Tonin
- H&TRC - Health & Technology Research Centre, ESTeSL, Escola Superior de Tecnologia da Saúde, Instituto Politécnico de Lisboa, Lisbon, Portugal
| | - Roberto Pontarolo
- Department of Pharmacy, Universidade Federal do Paraná, Campus III, Av. Pref. Lothário Meissner, 632, Jardim Botânico, Curitiba, PR, 80210-170, Brazil.
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3
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Yu EA, Stone M, Bravo MD, Grebe E, Bruhn RL, Lanteri MC, Townsend M, Kamel H, Jones JM, Busch MP, Custer B. Associations of Temporal Cardiometabolic Patterns and Incident SARS-CoV-2 Infection Among U.S. Blood Donors With Serologic Evidence of Vaccination. AJPM FOCUS 2024; 3:100186. [PMID: 38304025 PMCID: PMC10832374 DOI: 10.1016/j.focus.2024.100186] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 02/03/2024]
Abstract
Introduction Cardiometabolic diseases are associated with greater COVID-19 severity; however, the influences of cardiometabolic health on SARS-CoV-2 infections after vaccination remain unclear. Our objective was to investigate the associations between temporal blood pressure and total cholesterol patterns and incident SARS-CoV-2 infections among those with serologic evidence of vaccination. Methods In this prospective cohort of blood donors, blood samples were collected in 2020-2021 and assayed for binding antibodies of SARS-CoV-2 nucleocapsid protein antibody seropositivity. We categorized participants into intraindividual pattern subgroups of blood pressure and total cholesterol (persistently, intermittently, or not elevated [systolic blood pressure <130 mmHg, diastolic blood pressure <80 mmHg, total cholesterol <200 mg/dL]) across the study time points. Results Among 13,930 donors with 39,736 donations representing 1,127,071 person-days, there were 221 incident SARS-CoV-2 infections among those with serologic evidence of vaccination (1.6%). Intermittent hypertension was associated with greater SARS-CoV-2 infections among those with serologic evidence of vaccination risk (adjusted incidence rate ratio=2.07; 95% CI=1.44, 2.96; p<0.01) than among participants with consistent normotension on the basis of a multivariable Poisson regression. Among men, intermittently elevated total cholesterol (adjusted incidence rate ratio=1.90; 95% CI=1.32, 2.74; p<0.01) and higher BMI at baseline (adjusted hazard ratio=1.44; 95% CI=1.07, 1.93; p=0.01; per 10 units) were associated with greater SARS-CoV-2 infections among those with serologic evidence of vaccination probability; these associations were null among women (both p>0.05). Conclusions Our findings underscore that the benefits of cardiometabolic health, particularly blood pressure, include a lower risk of SARS-CoV-2 infection after vaccination.
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Affiliation(s)
- Elaine A. Yu
- Vitalant Research Institute, San Francisco, California
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
| | - Mars Stone
- Vitalant Research Institute, San Francisco, California
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
| | | | - Eduard Grebe
- Vitalant Research Institute, San Francisco, California
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
| | - Roberta L. Bruhn
- Vitalant Research Institute, San Francisco, California
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
| | - Marion C. Lanteri
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
- Creative Testing Solutions, Tempe, Arizona
| | | | | | | | - Michael P. Busch
- Vitalant Research Institute, San Francisco, California
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
- Vitalant, Scottsdale, Arizona
| | - Brian Custer
- Vitalant Research Institute, San Francisco, California
- Department of Laboratory Medicine, University of California San Francisco, San Francisco, California
- Vitalant, Scottsdale, Arizona
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4
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Wang Y, Gao L. Cholesterol: A friend to viruses. Int Rev Immunol 2024; 43:248-262. [PMID: 38372266 DOI: 10.1080/08830185.2024.2314577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Accepted: 01/28/2024] [Indexed: 02/20/2024]
Abstract
Cholesterol is a key life-sustaining molecule which regulates membrane fluidity and serves as a signaling mediator. Cholesterol homeostasis is closely related to various pathological conditions including tumor, obesity, atherosclerosis, Alzheimer's disease and viral infection. Viral infection disrupts host cholesterol homeostasis, facilitating their own survival. Meanwhile, the host cells strive to reduce cholesterol accessibility to limit viral infection. This review focuses on the regulation of cholesterol metabolism and the role of cholesterol in viral infection, specifically providing an overview of cholesterol as a friend to promote viral entry, replication, assembly, release and immune evasion, which might inspire valuable thinking for pathogenesis and intervention of viral infection.
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Affiliation(s)
- Yingchun Wang
- Key Laboratory for Experimental Teratology of Ministry of Education, Shandong Key Laboratory of Infection and Immunity, and Department of Immunology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, P.R. China
| | - Lifen Gao
- Key Laboratory for Experimental Teratology of Ministry of Education, Shandong Key Laboratory of Infection and Immunity, and Department of Immunology, School of Basic Medical Sciences, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, P.R. China
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5
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Krishna N, K P S, G K R. Identifying diseases associated with Post-COVID syndrome through an integrated network biology approach. J Biomol Struct Dyn 2024; 42:652-671. [PMID: 36995291 DOI: 10.1080/07391102.2023.2195003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/04/2022] [Accepted: 03/17/2023] [Indexed: 03/31/2023]
Abstract
A growing body of research shows that COVID-19 is now recognized as a multi-organ disease with a wide range of manifestations that can have long-lasting repercussions, referred to as post-COVID-19 syndrome. It is unknown why the vast majority of COVID-19 patients develop post-COVID-19 syndrome, or why patients with pre-existing disorders are more likely to experience severe COVID-19. This study used an integrated network biology approach to obtain a comprehensive understanding of the relationship between COVID-19 and other disorders. The approach involved building a PPI network with COVID-19 genes and identifying highly interconnected regions. The molecular information contained within these subnetworks, as well as the pathway annotations, were used to reveal the link between COVID-19 and other disorders. Using Fisher's exact test and disease-specific gene information, significant COVID-19-disease associations were discovered. The study discovered diseases that affect multiple organs and organ systems, thus proving the theory of multiple organ damage caused by COVID-19. Cancers, neurological disorders, hepatic diseases, cardiac disorders, pulmonary diseases, and hypertensive diseases are just a few of the conditions linked to COVID-19. Pathway enrichment analysis of shared proteins revealed the shared molecular mechanism of COVID-19 and these diseases. The findings of the study shed new light on the major COVID-19-associated disease conditions and how their molecular mechanisms interact with COVID-19. The novelty of studying disease associations in the context of COVID-19 provides new insights into the management of rapidly evolving long-COVID and post-COVID syndromes, which have significant global implications.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Navami Krishna
- School of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, India
| | - Sijina K P
- School of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, India
| | - Rajanikant G K
- School of Biotechnology, National Institute of Technology Calicut, Calicut, Kerala, India
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Ding C, Chen Y, Miao G, Qi Z. Research Advances on the Role of Lipids in the Life Cycle of Human Coronaviruses. Microorganisms 2023; 12:63. [PMID: 38257890 PMCID: PMC10820681 DOI: 10.3390/microorganisms12010063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 12/23/2023] [Accepted: 12/27/2023] [Indexed: 01/24/2024] Open
Abstract
Coronaviruses (CoVs) are emerging pathogens with a significant potential to cause life-threatening harm to human health. Since the beginning of the 21st century, three highly pathogenic and transmissible human CoVs have emerged, triggering epidemics and posing major threats to global public health. CoVs are enveloped viruses encased in a lipid bilayer. As fundamental components of cells, lipids can play an integral role in many physiological processes, which have been reported to play important roles in the life cycle of CoVs, including viral entry, uncoating, replication, assembly, and release. Therefore, research on the role of lipids in the CoV life cycle can provide a basis for a better understanding of the infection mechanism of CoVs and provide lipid targets for the development of new antiviral strategies. In this review, research advances on the role of lipids in different stages of viral infection and the possible targets of lipids that interfere with the viral life cycle are discussed.
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Affiliation(s)
- Cuiling Ding
- Department of Microbiology, Faculty of Naval Medicine, Naval Medical University, Shanghai 200433, China; (C.D.); (Y.C.)
| | - Yibo Chen
- Department of Microbiology, Faculty of Naval Medicine, Naval Medical University, Shanghai 200433, China; (C.D.); (Y.C.)
| | - Gen Miao
- Department of Nutrition and Food Hygiene, Faculty of Naval Medicine, Naval Medical University, Shanghai 200433, China;
| | - Zhongtian Qi
- Department of Microbiology, Faculty of Naval Medicine, Naval Medical University, Shanghai 200433, China; (C.D.); (Y.C.)
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Ahmad I, Fatemi SN, Ghaheri M, Rezvani A, Khezri DA, Natami M, Yasamineh S, Gholizadeh O, Bahmanyar Z. An overview of the role of Niemann-pick C1 (NPC1) in viral infections and inhibition of viral infections through NPC1 inhibitor. Cell Commun Signal 2023; 21:352. [PMID: 38098077 PMCID: PMC10722723 DOI: 10.1186/s12964-023-01376-x] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 11/01/2023] [Indexed: 12/17/2023] Open
Abstract
Viruses communicate with their hosts through interactions with proteins, lipids, and carbohydrate moieties on the plasma membrane (PM), often resulting in viral absorption via receptor-mediated endocytosis. Many viruses cannot multiply unless the host's cholesterol level remains steady. The large endo/lysosomal membrane protein (MP) Niemann-Pick C1 (NPC1), which is involved in cellular cholesterol transport, is a crucial intracellular receptor for viral infection. NPC1 is a ubiquitous housekeeping protein essential for the controlled cholesterol efflux from lysosomes. Its human absence results in Niemann-Pick type C disease, a deadly lysosomal storage disorder. NPC1 is a crucial viral receptor and an essential host component for filovirus entrance, infection, and pathogenesis. For filovirus entrance, NPC1's cellular function is unnecessary. Furthermore, blocking NPC1 limits the entry and replication of the African swine fever virus by disrupting cholesterol homeostasis. Cell entrance of quasi-enveloped variants of hepatitis A virus and hepatitis E virus has also been linked to NPC1. By controlling cholesterol levels, NPC1 is also necessary for the effective release of reovirus cores into the cytoplasm. Drugs that limit NPC1's activity are effective against several viruses, including SARS-CoV and Type I Feline Coronavirus (F-CoV). These findings reveal NPC1 as a potential therapeutic target for treating viral illnesses and demonstrate its significance for several viral infections. This article provides a synopsis of NPC1's function in viral infections and a review of NPC1 inhibitors that may be used to counteract viral infections. Video Abstract.
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Affiliation(s)
- Irfan Ahmad
- Department of Clinical Laboratory Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia
| | | | - Mohammad Ghaheri
- Student Research Committee, Alborz University of Medical Sciences, Karaj, Iran
| | - Ali Rezvani
- Anesthesiology Department, Case Western Reserve University, Cleveland, USA
| | - Dorsa Azizi Khezri
- Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Natami
- Department of Urology, Shahid Mohammadi Hospital, Hormozgan University of Medical Sciences, Bandar Abbas, Iran
| | | | | | - Zahra Bahmanyar
- School of Pharmacy, Shiraz University of Medical Sciences, Shiraz, Iran.
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Meng H, Sengupta A, Ricciotti E, Mrčela A, Mathew D, Mazaleuskaya LL, Ghosh S, Brooks TG, Turner AP, Schanoski AS, Lahens NF, Tan AW, Woolfork A, Grant G, Susztak K, Letizia AG, Sealfon SC, Wherry EJ, Laudanski K, Weljie AM, Meyer NJ, FitzGerald GA. Deep phenotyping of the lipidomic response in COVID-19 and non-COVID-19 sepsis. Clin Transl Med 2023; 13:e1440. [PMID: 37948331 PMCID: PMC10637636 DOI: 10.1002/ctm2.1440] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/15/2023] [Accepted: 10/01/2023] [Indexed: 11/12/2023] Open
Abstract
BACKGROUND Lipids may influence cellular penetrance by viral pathogens and the immune response that they evoke. We deeply phenotyped the lipidomic response to SARs-CoV-2 and compared that with infection with other pathogens in patients admitted with acute respiratory distress syndrome to an intensive care unit (ICU). METHODS Mass spectrometry was used to characterise lipids and relate them to proteins, peripheral cell immunotypes and disease severity. RESULTS Circulating phospholipases (sPLA2, cPLA2 (PLA2G4A) and PLA2G2D) were elevated on admission in all ICU groups. Cyclooxygenase, lipoxygenase and epoxygenase products of arachidonic acid (AA) were elevated in all ICU groups compared with controls. sPLA2 predicted severity in COVID-19 and correlated with TxA2, LTE4 and the isoprostane, iPF2α-III, while PLA2G2D correlated with LTE4. The elevation in PGD2, like PGI2 and 12-HETE, exhibited relative specificity for COVID-19 and correlated with sPLA2 and the interleukin-13 receptor to drive lymphopenia, a marker of disease severity. Pro-inflammatory eicosanoids remained correlated with severity in COVID-19 28 days after admission. Amongst non-COVID ICU patients, elevations in 5- and 15-HETE and 9- and 13-HODE reflected viral rather than bacterial disease. Linoleic acid (LA) binds directly to SARS-CoV-2 and both LA and its di-HOME products reflected disease severity in COVID-19. In healthy marines, these lipids rose with seroconversion. Eicosanoids linked variably to the peripheral cellular immune response. PGE2, TxA2 and LTE4 correlated with T cell activation, as did PGD2 with non-B non-T cell activation. In COVID-19, LPS stimulated peripheral blood mononuclear cell PGF2α correlated with memory T cells, dendritic and NK cells while LA and DiHOMEs correlated with exhausted T cells. Three high abundance lipids - ChoE 18:3, LPC-O-16:0 and PC-O-30:0 - were altered specifically in COVID. LPC-O-16:0 was strongly correlated with T helper follicular cell activation and all three negatively correlated with multi-omic inflammatory pathways and disease severity. CONCLUSIONS A broad based lipidomic storm is a predictor of poor prognosis in ARDS. Alterations in sPLA2, PGD2 and 12-HETE and the high abundance lipids, ChoE 18:3, LPC-O-16:0 and PC-O-30:0 exhibit relative specificity for COVID-19 amongst such patients and correlate with the inflammatory response to link to disease severity.
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Affiliation(s)
- Hu Meng
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Arjun Sengupta
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Emanuela Ricciotti
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Antonijo Mrčela
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Divij Mathew
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Immunology and Immune HealthPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Liudmila L. Mazaleuskaya
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Soumita Ghosh
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Thomas G. Brooks
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Alexandra P. Turner
- Department of MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | | | - Nicholas F. Lahens
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Ai Wen Tan
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Ashley Woolfork
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Greg Grant
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of GeneticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Katalin Susztak
- Department of MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Andrew G. Letizia
- Naval Medical Research CenterSilver SpringMarylandUSA
- Naval Medical Research Unit TWOSingaporeSingapore
| | - Stuart C. Sealfon
- Department of NeurologyIcahn School of Medicine at Mount SinaiNew YorkNew YorkUSA
| | - E. John Wherry
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Institute for Immunology and Immune HealthPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Krzysztof Laudanski
- Department of Anesthesiology and Critical CarePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Aalim M. Weljie
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Nuala J. Meyer
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
| | - Garret A. FitzGerald
- Institute for Translational Medicine and TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of Systems Pharmacology and Translational TherapeuticsPerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
- Department of MedicinePerelman School of MedicineUniversity of PennsylvaniaPhiladelphiaPennsylvaniaUSA
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9
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Sánchez A, García-Pardo G, Gómez-Bertomeu F, López-Dupla M, Foguet-Romero E, Buzón MJ, Almirante B, Olona M, Fernández-Veledo S, Vidal F, Chafino S, Rull A, Peraire J. Mitochondrial dysfunction, lipids metabolism, and amino acid biosynthesis are key pathways for COVID-19 recovery. iScience 2023; 26:107948. [PMID: 37810253 PMCID: PMC10551651 DOI: 10.1016/j.isci.2023.107948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2023] [Revised: 08/29/2023] [Accepted: 09/14/2023] [Indexed: 10/10/2023] Open
Abstract
The metabolic alterations caused by SARS-CoV-2 infection reflect disease progression. To analyze molecules involved in these metabolic changes, a multiomics study was performed using plasma from 103 patients with different degrees of COVID-19 severity during the evolution of the infection. With the increased severity of COVID-19, changes in circulating proteomic, metabolomic, and lipidomic profiles increased. Notably, the group of severe and critical patients with high HRG and ChoE (20:3) and low alpha-ketoglutaric acid levels had a high chance of unfavorable disease evolution (AUC = 0.925). Consequently, patients with the worst prognosis presented alterations in the TCA cycle (mitochondrial dysfunction), lipid metabolism, amino acid biosynthesis, and coagulation. Our findings increase knowledge regarding how SARS-CoV-2 infection affects different metabolic pathways and help in understanding the future consequences of COVID-19 to identify potential therapeutic targets.
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Affiliation(s)
- Alba Sánchez
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
| | - Graciano García-Pardo
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Fréderic Gómez-Bertomeu
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Miguel López-Dupla
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Elisabet Foguet-Romero
- Eurecat, Centre Tecnologic de Catalunya, Centre for Omic Sciences (Joint Unit Eurecat - Universitat Rovira i Virgili), Unique Scientific and Technical Infrastructure (ICTS), Reus, Spain
| | - Maria José Buzón
- Infectious Diseases Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Infectious Diseases Department, Vall d'Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, (VHIR) Task Force COVID-19, Barcelona, Spain
| | - Benito Almirante
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Infectious Diseases Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain
| | - Montserrat Olona
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Sonia Fernández-Veledo
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
| | - Francesc Vidal
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Silvia Chafino
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Anna Rull
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - Joaquim Peraire
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
| | - for the COVIDOMICS Study Group
- Institut Investigació Sanitària Pere Virgili (IISPV), Tarragona, Spain
- Hospital Universitari de Tarragona Joan XXIII (HJ23), Tarragona, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Universitat Rovira i Virgili (URV), Tarragona, Spain
- Eurecat, Centre Tecnologic de Catalunya, Centre for Omic Sciences (Joint Unit Eurecat - Universitat Rovira i Virgili), Unique Scientific and Technical Infrastructure (ICTS), Reus, Spain
- Infectious Diseases Department, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Infectious Diseases Department, Vall d'Hebron Institute of Research (VHIR), Universitat Autònoma de Barcelona, (VHIR) Task Force COVID-19, Barcelona, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III, Madrid, Spain
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10
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Kočar E, Katz S, Pušnik Ž, Bogovič P, Turel G, Skubic C, Režen T, Strle F, Martins dos Santos VA, Mraz M, Moškon M, Rozman D. COVID-19 and cholesterol biosynthesis: Towards innovative decision support systems. iScience 2023; 26:107799. [PMID: 37720097 PMCID: PMC10502404 DOI: 10.1016/j.isci.2023.107799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Revised: 07/12/2023] [Accepted: 08/29/2023] [Indexed: 09/19/2023] Open
Abstract
With COVID-19 becoming endemic, there is a continuing need to find biomarkers characterizing the disease and aiding in patient stratification. We studied the relation between COVID-19 and cholesterol biosynthesis by comparing 10 intermediates of cholesterol biosynthesis during the hospitalization of 164 patients (admission, disease deterioration, discharge) admitted to the University Medical Center of Ljubljana. The concentrations of zymosterol, 24-dehydrolathosterol, desmosterol, and zymostenol were significantly altered in COVID-19 patients. We further developed a predictive model for disease severity based on clinical parameters alone and their combination with a subset of sterols. Our machine learning models applying 8 clinical parameters predicted disease severity with excellent accuracy (AUC = 0.96), showing substantial improvement over current clinical risk scores. After including sterols, model performance remained better than COVID-GRAM. This is the first study to examine cholesterol biosynthesis during COVID-19 and shows that a subset of cholesterol-related sterols is associated with the severity of COVID-19.
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Affiliation(s)
- Eva Kočar
- Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Zaloška cesta 4, SI-1000 Ljubljana, Slovenia
| | - Sonja Katz
- LifeGlimmer GmbH, Markelstraße 38, 12163 Berlin, Germany
- Biomanufacturing and Digital Twins Group, Bioprocess Engineering Laboratory, Wageningen University and Research, Droevendaalsesteeg 1, 6708PB Wageningen, the Netherlands
| | - Žiga Pušnik
- Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, SI-1000 Ljubljana, Slovenia
| | - Petra Bogovič
- Department of Infectious Diseases, University Medical Centre Ljubljana, Japljeva ulica 2, SI-1000 Ljubljana, Slovenia
| | - Gabriele Turel
- Department of Infectious Diseases, University Medical Centre Ljubljana, Japljeva ulica 2, SI-1000 Ljubljana, Slovenia
| | - Cene Skubic
- Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Zaloška cesta 4, SI-1000 Ljubljana, Slovenia
| | - Tadeja Režen
- Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Zaloška cesta 4, SI-1000 Ljubljana, Slovenia
| | - Franc Strle
- Department of Infectious Diseases, University Medical Centre Ljubljana, Japljeva ulica 2, SI-1000 Ljubljana, Slovenia
| | - Vitor A.P. Martins dos Santos
- LifeGlimmer GmbH, Markelstraße 38, 12163 Berlin, Germany
- Biomanufacturing and Digital Twins Group, Bioprocess Engineering Laboratory, Wageningen University and Research, Droevendaalsesteeg 1, 6708PB Wageningen, the Netherlands
| | - Miha Mraz
- Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, SI-1000 Ljubljana, Slovenia
| | - Miha Moškon
- Faculty of Computer and Information Science, University of Ljubljana, Večna pot 113, SI-1000 Ljubljana, Slovenia
| | - Damjana Rozman
- Centre for Functional Genomics and Bio-Chips, Institute of Biochemistry and Molecular Genetics, Faculty of Medicine, University of Ljubljana, Zaloška cesta 4, SI-1000 Ljubljana, Slovenia
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11
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Han S, Lu H, Yu Y, Liu X, Jing F, Wang L, Zhao Y, Hou M. Hyperlipidemia in immune thrombocytopenia: a retrospective study. Thromb J 2023; 21:102. [PMID: 37784127 PMCID: PMC10544441 DOI: 10.1186/s12959-023-00545-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 09/13/2023] [Indexed: 10/04/2023] Open
Abstract
BACKGROUND Immune thrombocytopenia (ITP) is an autoimmune hemorrhagic disease characterized by low platelet count and bleeding manifestations. However, some patients also suffered from atherosclerosis or even infarction. Apart from activated platelets, lipid metabolism takes a large part in the formation of atherosclerosis and metabolic syndrome. The lipid metabolic state in ITP patients is still unknown. METHODS We retrospectively reviewed 302 hospitalized ITP patients in our cohort, comparing their blood lipids, bleeding symptoms, metabolic diseases and treatment responses. RESULTS We found a high proportion of ITP patients suffered from hyperlipidemia, and other metabolic diseases including cardiovascular or cerebral atherosclerosis or infarction, hypertension, and type 2 diabetes. Hyperlipidemia was associated with severe bleeding and treatment refractoriness in ITP. Statins could alleviate thrombocytopenia and bleeding severity, and facilitate ITP treatment, while improving hyperlipidemia in ITP patients. CONCLUSIONS Our present study demonstrated that lipid metabolism might play an indispensable role in ITP pathogenesis and development.
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Affiliation(s)
- Shouqing Han
- Department of Hematology, Qilu Hospital of Shandong University, 107 West Wenhua Road, Jinan, 250012, Shandong, China
- Shandong Provincial Key Laboratory of Immunohematology, Qilu Hospital of Shandong University, Jinan, China
| | - Hui Lu
- Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China
| | - Yafei Yu
- Department of Hematology, Qilu Hospital of Shandong University, 107 West Wenhua Road, Jinan, 250012, Shandong, China
- Shandong Provincial Key Laboratory of Immunohematology, Qilu Hospital of Shandong University, Jinan, China
| | - Xinguang Liu
- Department of Hematology, Qilu Hospital of Shandong University, 107 West Wenhua Road, Jinan, 250012, Shandong, China
- Shandong Provincial Key Laboratory of Immunohematology, Qilu Hospital of Shandong University, Jinan, China
| | - Fangmiao Jing
- Department of Geriatric Medicine, Qilu Hospital of Shandong University, Jinan, China
| | - Liang Wang
- Affiliated Hospital of Weifang Medical University, Weifang, Shandong, China.
- Department of Hematology, Shengli Oilfield Central Hospital, Dongying, China.
| | - Yajing Zhao
- Department of Hematology, Qilu Hospital of Shandong University, 107 West Wenhua Road, Jinan, 250012, Shandong, China.
- Shandong Provincial Key Laboratory of Immunohematology, Qilu Hospital of Shandong University, Jinan, China.
| | - Ming Hou
- Department of Hematology, Qilu Hospital of Shandong University, 107 West Wenhua Road, Jinan, 250012, Shandong, China.
- Leading Research Group of Scientific Innovation, Department of Science and Technology of Shandong Province, Qilu Hospital of Shandong University, Jinan, China.
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12
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Zhang PH, Wu DB, Liu J, Wen JT, Chen ES, Xiao CH. Proteomics analysis of lung tissue reveals protein makers for the lung injury of adjuvant arthritis rats. Mol Med Rep 2023; 28:163. [PMID: 37449522 PMCID: PMC10407615 DOI: 10.3892/mmr.2023.13051] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Accepted: 06/15/2023] [Indexed: 07/18/2023] Open
Abstract
Lung injury is one of the common extra‑articular lesions in rheumatoid arthritis (RA). Due to its insidious onset and no obvious clinical symptoms, it can be easily dismissed in the early stage of diagnosis, which is one of the reasons that leads to a decline of the quality of life and subsequent death of patients with RA. However, its pathogenesis is still unclear and there is a lack of effective therapeutic targets. In the present study, tandem mass tag‑labeled proteomics was used to research the lung tissue proteins in RA model (adjuvant arthritis, AA) rats that had secondary lung injury. The aim of the present study was to identify the differentially expressed proteins related to RA‑lung injury, determine their potential role in the pathogenesis of RA‑lung injury and provide potential targets for clinical treatment. Lung tissue samples were collected from AA‑lung injury and normal rats. The differentially expressed proteins (DEPs) were identified by tandem mass spectrometry. Bioinformatic analysis was used to assess the biological processes and signaling pathways associated with these DEPs. A total of 310 DEPs were found, of which 244 were upregulated and 66 were downregulated. KEGG anlysis showed that 'fatty acid degradation', 'fatty acid metabolism', 'fatty acid elongation', 'complement and coagulation cascades', 'peroxisome proliferator‑activated receptor signaling pathway' and 'hypoxia‑inducible factor signaling pathway' were significantly upregulated in the lung tissues of AA‑lung injury. Immunofluorescence staining confirmed the increased expression of clusterin, serine protease inhibitors and complement 1qc in lung tissue of rats with AA lung injury. In the present study, the results revealed the significance of certain DEPs (for example, C9, C1qc and Clu) in the occurrence and development of RA‑lung injury and provided support through experiments to identify potential biomarkers for the early diagnosis and prevention of RA‑lung injury.
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Affiliation(s)
- Ping-Heng Zhang
- Rheumatology and Immunology Department, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong 510315, P.R. China
- Department of Rheumatology, The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong 510405, P.R. China
| | - Dan-Bin Wu
- Department of Traditional Chinese Medicine, School of Medicine, First Affiliated Hospital, Zhejiang University, Hangzhou, Zhejiang 310003, P.R. China
| | - Jian Liu
- Department of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui 230038, P.R. China
| | - Jian-Ting Wen
- Department of Rheumatology and Immunology, First Affiliated Hospital of Anhui University of Traditional Chinese Medicine, Hefei, Anhui 230038, P.R. China
| | - En-Sheng Chen
- Rheumatology and Immunology Department, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong 510315, P.R. China
| | - Chang-Hong Xiao
- Rheumatology and Immunology Department, Integrated Hospital of Traditional Chinese Medicine, Southern Medical University, Guangzhou, Guangdong 510315, P.R. China
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13
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Micek A, Bolesławska I, Jagielski P, Konopka K, Waśkiewicz A, Witkowska AM, Przysławski J, Godos J. Association of dietary intake of polyphenols, lignans, and phytosterols with immune-stimulating microbiota and COVID-19 risk in a group of Polish men and women. Front Nutr 2023; 10:1241016. [PMID: 37599696 PMCID: PMC10436747 DOI: 10.3389/fnut.2023.1241016] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2023] [Accepted: 07/21/2023] [Indexed: 08/22/2023] Open
Abstract
Objectives Devastating consequences of COVID-19 disease enhanced the role of promoting prevention-focused practices. Among targeted efforts, diet is regarded as one of the potential factors which can affect immune function and optimal nutrition is postulated as the method of augmentation of people's viral resistance. As epidemiological evidence is scarce, the present study aimed to explore the association between dietary intake of total polyphenols, lignans and plant sterols and the abundance of immunomodulatory gut microbiota such as Enterococcus spp. and Escherichia coli and the risk of developing COVID-19 disease. Methods Demographic data, dietary habits, physical activity as well as the composition of body and gut microbiota were analyzed in a sample of 95 young healthy individuals. Dietary polyphenol, lignan and plant sterol intakes have been retrieved based on the amount of food consumed by the participants, the phytochemical content was assessed in laboratory analysis and using available databases. Results For all investigated polyphenols and phytosterols, except campesterol, every unit increase in the tertile of intake category was associated with a decrease in the odds of contracting COVID-19. The risk reduction ranged from several dozen percent to 70 %, depending on the individual plant-based chemical, and after controlling for basic covariates it was statistically significant for secoisolariciresinol (OR = 0.28, 95% CI: 0.11-0.61), total phytosterols (OR = 0.47, 95% CI: 0.22-0.95) and for stigmasterols (OR = 0.34, 95% CI: 0.14-0.72). We found an inverse association between increased β-sitosterol intake and phytosterols in total and the occurrence of Escherichia coli in stool samples outside reference values, with 72% (OR = 0.28, 95% CI: 0.08-0.86) and 66% (OR = 0.34, 95% CI: 0.10-1.08) reduced odds of abnormal level of bacteria for the highest compared with the lowest tertile of phytochemical consumption. Additionally, there was a trend of more frequent presence of Enterococcus spp. at relevant level in people with a higher intake of lariciresinol. Conclusion The beneficial effects of polyphenols and phytosterols should be emphasized and these plant-based compounds should be regarded in the context of their utility as antiviral agents preventing influenza-type infections.
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Affiliation(s)
- Agnieszka Micek
- Statistical Laboratory, Jagiellonian University Medical College, Cracow, Poland
| | - Izabela Bolesławska
- Department of Bromatology, Poznan University of Medical Sciences, Poznań, Poland
| | - Paweł Jagielski
- Department of Nutrition and Drug Research, Faculty of Health Sciences, Institute of Public Health, Jagiellonian University Medical College, Kraków, Poland
| | - Kamil Konopka
- Department of Oncology, Jagiellonian University Medical College, Kraków, Poland
| | - Anna Waśkiewicz
- Department of Epidemiology, Cardiovascular Disease Prevention and Health Promotion, National Institute of Cardiology, Warszawa, Poland
| | - Anna Maria Witkowska
- Department of Food Biotechnology, Medical University of Bialystok, Białystok, Poland
| | - Juliusz Przysławski
- Department of Bromatology, Poznan University of Medical Sciences, Poznań, Poland
| | - Justyna Godos
- Department of Biomedical and Biotechnological Sciences, University of Catania, Catania, Italy
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14
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Arent CO, Padilha APZ, Borba LA, de Azevedo Cardoso T, André MC, Martinello NS, Rosa T, Abelaira HM, de Moura AB, Andrade NM, Bertollo AG, de Oliveira GG, Bagatini MD, Ignácio ZM, Quevedo J, Ceretta LB, Réus GZ. ABO Blood Type and Metabolic Markers in COVID-19 Susceptibility and Severity: A Cross-Sectional Study. Metab Syndr Relat Disord 2023; 21:335-344. [PMID: 37352417 DOI: 10.1089/met.2023.0022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/25/2023] Open
Abstract
Background and Aims: To evaluate the effect of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) virus on the function and metabolic changes, as well as the relationship of the virus with blood groups. Methods and Results: This cross-sectional study included a matched sample of adult individuals with coronavirus disease 2019 (COVID-19) (n = 114) or without (controls; n = 236). Blood samples were collected and processed for triglycerides (TGs), total cholesterol, high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol, and blood typing analysis. The results showed that subjects with COVID-19 had higher TG and lower HDL-C levels compared with the control group. As for blood typing, the risk of COVID-19 was higher in subjects with blood group A than in those with blood group B and in those with other blood groups. In addition, an association of COVID-19 with blood type and Rh A- was observed. When related to the severity of COVID-19 symptoms, blood type A was more protective against moderate/severe symptoms compared with blood type O. In addition, individuals with blood type O were 2.90 times more likely to have symptoms moderate/severe symptoms of COVID-19 than those with other blood groups and individuals with type A blood were less likely to have severe/moderate symptoms of COVID-19 compared with individuals without type A blood. Conclusion: The results suggest that blood type may play a role in susceptibility to SARS-CoV-2 infection and add evidence that infection with the novel coronavirus may be associated with changes in lipid metabolism.
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Affiliation(s)
- Camila O Arent
- Graduate Program in Health Sciences, Translational Psychiatry Laboratory, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
| | - Alex Paulo Z Padilha
- Graduate Program in Health Sciences, Translational Psychiatry Laboratory, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
| | - Laura A Borba
- Graduate Program in Health Sciences, Translational Psychiatry Laboratory, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
| | | | - Monique C André
- Graduate Program in Health Sciences, Translational Psychiatry Laboratory, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
| | - Nicoly S Martinello
- Graduate Program in Health Sciences, Translational Psychiatry Laboratory, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
| | - Thayse Rosa
- Graduate Program in Health Sciences, Translational Psychiatry Laboratory, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
| | - Helena M Abelaira
- Graduate Program in Health Sciences, Translational Psychiatry Laboratory, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
| | - Airam B de Moura
- Graduate Program in Health Sciences, Translational Psychiatry Laboratory, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
| | - Natalia M Andrade
- Graduate Program in Health Sciences, Translational Psychiatry Laboratory, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
| | - Amanda G Bertollo
- Graduate Program in Biomedical Sciences, Laboratory of Physiology Pharmacology and Psychopathology, Federal University of the Southern Frontier, Chapecó, Brazil
| | - Gabriela G de Oliveira
- Graduate Program in Biomedical Sciences, Laboratory of Physiology Pharmacology and Psychopathology, Federal University of the Southern Frontier, Chapecó, Brazil
| | - Margarete D Bagatini
- Graduate Program in Biomedical Sciences, Laboratory of Physiology Pharmacology and Psychopathology, Federal University of the Southern Frontier, Chapecó, Brazil
| | - Zuleide Maria Ignácio
- Graduate Program in Biomedical Sciences, Laboratory of Physiology Pharmacology and Psychopathology, Federal University of the Southern Frontier, Chapecó, Brazil
| | - João Quevedo
- Graduate Program in Health Sciences, Translational Psychiatry Laboratory, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
- Faillace Department of Psychiatry and Behavioral Sciences, Center of Excellence on Mood Disorders, McGovern Medical School, The University of Texas Health Science Center at Houston (UTHealth), Houston, Texas, USA
| | - Luciane B Ceretta
- Graduate Program in Public Health, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
| | - Gislaine Z Réus
- Graduate Program in Health Sciences, Translational Psychiatry Laboratory, University of Southern Santa Catarina (UNESC), Criciúma, Brazil
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15
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Visos-Varela I, Zapata-Cachafeiro M, Pintos-Rodríguez S, Bugarín-González R, González-Barcala FJ, Herdeiro MT, Piñeiro-Lamas M, Figueiras A, Salgado-Barreira Á. Outpatient atorvastatin use and severe COVID-19 outcomes: A population-based study. J Med Virol 2023; 95:e28971. [PMID: 37486310 DOI: 10.1002/jmv.28971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 06/09/2023] [Accepted: 07/05/2023] [Indexed: 07/25/2023]
Abstract
Evidence of the effect of statins on patients with coronavirus disease (2019) COVID-19 is inconsistent. The aim of this study was to evaluate the association between chronic use of statins-both overall and by active ingredient-and severe outcomes of COVID-19 (risk of hospitalization and mortality), progression to severe outcomes, and susceptibility to the virus. We conducted a population-based case-control study with data from electronic records to assess the risk of (1) hospitalization: cases were patients admitted due to COVID-19 and controls were subjects without COVID-19; (2) mortality: cases were hospitalized patients who died due to COVID-19 and controls were subjects without COVID-19; (3) progression: cases were hospitalized COVID-19 subjects and controls were nonhospitalized COVID-19 patients; and (4) susceptibility: cases were patients with COVID-19 (both hospitalized and nonhospitalized) and controls were subjects without COVID-19. We collected data on 2821 hospitalized cases, 26 996 nonhospitalized cases, and 52 318 controls. Chronic use of atorvastatin was associated with a decreased risk of hospitalization (adjusted odds ratios [aOR] = 0.83; 95% confidence interval [CI]: 0.74-0.92) and mortality (aOR = 0.70; 95% CI: 0.53-0.93), attributable in part to a lower risk of susceptibility to the virus (aOR = 0.91; 95% CI: 0.86-0.96). Simvastatin was associated with a reduced risk of mortality (aOR = 0.59; 95% CI: 0.40-0.87). The wide degree of heterogeneity observed in the estimated odds ratios (ORs) of the different statins suggests that there is no class effect. The results of this real-world study suggest that chronic use of atorvastatin (and to a lesser degree, of simvastatin) is associated with a decrease in risk of severe COVID-19 outcomes.
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Affiliation(s)
- Irene Visos-Varela
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Maruxa Zapata-Cachafeiro
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Institute of Health Research of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Santiago de Compostela, Spain
| | - Samuel Pintos-Rodríguez
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
| | - Rosendo Bugarín-González
- Monforte de Lemos Health Center, Health Area of Lugo, A Mariña and Monforte de Lemos, SERGAS, Monforte de Lemos, Lugo, Spain
| | - Francisco Javier González-Barcala
- Spanish Biomedical Research Networking Centre-CIBERES, Santiago de Compostela, Spain
- Pneumoloxy Department, Santiago de Compostela University Hospital Complex, Santiago de Compostela, Spain
| | - Maria T Herdeiro
- Department of Medical Sciences, iBiMED-Institute of Biomedicine, University of Aveiro, Aveiro, Portugal
| | - María Piñeiro-Lamas
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Santiago de Compostela, Spain
| | - Adolfo Figueiras
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Institute of Health Research of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Santiago de Compostela, Spain
| | - Ángel Salgado-Barreira
- Department of Preventive Medicine and Public Health, University of Santiago de Compostela, Santiago de Compostela, Spain
- Institute of Health Research of Santiago de Compostela (IDIS), Santiago de Compostela, Spain
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública-CIBERESP), Santiago de Compostela, Spain
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16
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Fonseca TH, Von Rekowski CP, Araújo R, Oliveira MC, Justino G, Bento L, Calado CRC. The Impact of the Serum Extraction Protocol on Metabolomic Profiling Using UPLC-MS/MS and FTIR Spectroscopy. ACS OMEGA 2023; 8:20755-20766. [PMID: 37323376 PMCID: PMC10237515 DOI: 10.1021/acsomega.3c01370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/28/2023] [Accepted: 05/04/2023] [Indexed: 06/17/2023]
Abstract
Biofluid metabolomics is a very appealing tool to increase the knowledge associated with pathophysiological mechanisms leading to better and new therapies and biomarkers for disease diagnosis and prognosis. However, due to the complex process of metabolome analysis, including the metabolome isolation method and the platform used to analyze it, there are diverse factors that affect metabolomics output. In the present work, the impact of two protocols to extract the serum metabolome, one using methanol and another using a mixture of methanol, acetonitrile, and water, was evaluated. The metabolome was analyzed by ultraperformance liquid chromatography associated with tandem mass spectrometry (UPLC-MS/MS), based on reverse-phase and hydrophobic chromatographic separations, and Fourier transform infrared (FTIR) spectroscopy. The two extraction protocols of the metabolome were compared over the analytical platforms (UPLC-MS/MS and FTIR spectroscopy) concerning the number of features, the type of features, common features, and the reproducibility of extraction replicas and analytical replicas. The ability of the extraction protocols to predict the survivability of critically ill patients hospitalized at an intensive care unit was also evaluated. The FTIR spectroscopy platform was compared to the UPLC-MS/MS platform and, despite not identifying metabolites and consequently not contributing as much as UPLC-MS/MS in terms of information concerning metabolic information, it enabled the comparison of the two extraction protocols as well as the development of very good predictive models of patient's survivability, such as the UPLC-MS/MS platform. Furthermore, FTIR spectroscopy is based on much simpler procedures and is rapid, economic, and applicable in the high-throughput mode, i.e., enabling the simultaneous analysis of hundreds of samples in the microliter range in a couple of hours. Therefore, FTIR spectroscopy represents a very interesting complementary technique not only to optimize processes as the metabolome isolation but also for obtaining biomarkers such as those for disease prognosis.
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Affiliation(s)
- Tiago
A. H. Fonseca
- Instituto
Superior de Engenharia de Lisboa (ISEL), Instituto Politécnico de Lisboa, Rua Conselheiro Emídio Navarro 1, 1959-007 Lisboa, Portugal
| | - Cristiana P. Von Rekowski
- Instituto
Superior de Engenharia de Lisboa (ISEL), Instituto Politécnico de Lisboa, Rua Conselheiro Emídio Navarro 1, 1959-007 Lisboa, Portugal
| | - Rúben Araújo
- Instituto
Superior de Engenharia de Lisboa (ISEL), Instituto Politécnico de Lisboa, Rua Conselheiro Emídio Navarro 1, 1959-007 Lisboa, Portugal
| | - M. Conceição Oliveira
- Centro
de Química Estrutural, Institute of Molecular Sciences, Instituto
Superior Técnico, Universidade de
Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal
| | - Gonçalo
C. Justino
- Centro
de Química Estrutural, Institute of Molecular Sciences, Instituto
Superior Técnico, Universidade de
Lisboa, Av. Rovisco Pais, 1, 1049-001 Lisboa, Portugal
| | - Luís Bento
- Intensive
Care Department, Centro Hospitalar Universitário
de Lisboa Central (CHULC), Rua José António Serrano, 1150-199 Lisboa, Portugal
- Integrated
Pathophysiological Mechanisms, CHRC, NOVA Medical School, Faculdade
de Ciências Médicas, NMS, FCM, Universidade NOVA de Lisboa, Campo Mártires da Pátria, 130, 1169-056 Lisboa, Portugal
| | - Cecília R. C. Calado
- Instituto
Superior de Engenharia de Lisboa (ISEL), Instituto Politécnico de Lisboa, Rua Conselheiro Emídio Navarro 1, 1959-007 Lisboa, Portugal
- Centro
de Investigação em Modelação e Optimização
de Sistemas Multifuncionais (CIMOSM), Instituto Superior de Engenharia
de Lisboa (ISEL), Instituto Politécnico
de Lisboa, Rua Conselheiro
Emídio Navarro 1, 1959-007 Lisboa, Portugal
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17
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Ghazizadeh H, Shakour N, Ghoflchi S, Mansoori A, Saberi-Karimiam M, Rashidmayvan M, Ferns G, Esmaily H, Ghayour-Mobarhan M. Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2. BMC Pulm Med 2023; 23:203. [PMID: 37308948 DOI: 10.1186/s12890-023-02495-4] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2022] [Accepted: 05/25/2023] [Indexed: 06/14/2023] Open
Abstract
BACKGROUND AND OBJECTIVE Corona virus causes respiratory tract infections in mammals. The latest type of Severe Acute Respiratory Syndrome Corona-viruses 2 (SARS-CoV-2), Corona virus spread in humans in December 2019 in Wuhan, China. The purpose of this study was to investigate the relationship between type 2 diabetes mellitus (T2DM), and their biochemical and hematological factors with the level of infection with COVID-19 to improve the treatment and management of the disease. MATERIAL AND METHOD This study was conducted on a population of 13,170 including 5780 subjects with SARS-COV-2 and 7390 subjects without SARS-COV-2, in the age range of 35-65 years. Also, the associations between biochemical factors, hematological factors, physical activity level (PAL), age, sex, and smoking status were investigated with the COVID-19 infection. RESULT Data mining techniques such as logistic regression (LR) and decision tree (DT) algorithms were used to analyze the data. The results using the LR model showed that in biochemical factors (Model I) creatine phosphokinase (CPK) (OR: 1.006 CI 95% (1.006,1.007)), blood urea nitrogen (BUN) (OR: 1.039 CI 95% (1.033, 1.047)) and in hematological factors (Model II) mean platelet volume (MVP) (OR: 1.546 CI 95% (1.470, 1.628)) were significant factors associated with COVID-19 infection. Using the DT model, CPK, BUN, and MPV were the most important variables. Also, after adjustment for confounding factors, subjects with T2DM had higher risk for COVID-19 infection. CONCLUSION There was a significant association between CPK, BUN, MPV and T2DM with COVID-19 infection and T2DM appears to be important in the development of COVID-19 infection.
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Affiliation(s)
- Hamideh Ghazizadeh
- The Hospital for Sick Children, CALIPER Program, Division of Clinical Biochemistry, Pediatric Laboratory Medicine, Toronto, ON, Canada
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Neda Shakour
- Department of Medical Chemistry, School of Pharmacy, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Sahar Ghoflchi
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Amin Mansoori
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran.
| | - Maryam Saberi-Karimiam
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Mohammad Rashidmayvan
- Department of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran
- Department of Nutrition, Food Sciences and Clinical Biochemistry, School of Medicine, Social Determinants of Health Research Center, Gonabad University of Medical Sciences, Gonabad, Iran
| | - Gordon Ferns
- Division of Medical Education, Brighton and Sussex Medical School, Brighton, UK
| | - Habibollah Esmaily
- Department of Biostatistics, School of Health, Mashhad University of Medical Sciences, Mashhad, Iran
- Social Determinants of Health Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
| | - Majid Ghayour-Mobarhan
- International UNESCO Center for Health-Related Basic Sciences and Human Nutrition, Mashhad University of Medical Sciences, Mashhad, Iran.
- Department of Nutrition, School of Medicine, Mashhad University of Medical Sciences, Mashhad, Iran.
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18
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Abdulaziz Alsufyani A. Post-COVID-19 effect on biochemical parameters in children: Should we take heed? Saudi J Biol Sci 2023; 30:103649. [PMID: 37069947 PMCID: PMC10079315 DOI: 10.1016/j.sjbs.2023.103649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 03/16/2023] [Accepted: 03/31/2023] [Indexed: 04/09/2023] Open
Abstract
The aim of this research is to analyze the potential impact of the COVID-19 infection on the serum biochemical concentration of children 6 months after recovery from the infection. The study included 72 children with a median age of 11 years. The case group consisted of 37 children who had contracted COVID-19 6 months prior to the analysis. They reported no other pre- or post-covid chronic or systemic diseases. The control group consisted of 35 children who had no prior record of COVID-19 infection. The analysis showed a substantial variation (P = 0.026) in the mean urea values (mmol/L) between the case group (4.513 ± 0.839) and the control group (5.425 ± 1.173). However, both groups' urea levels were within the normal range of their age group. No statistical differences were found analyzing the variations between the two groups in the levels of LDH, AST, ALT, BiliT, GGT, AlbBCG2, CRP, CK, AlKP, UA, Phos, Crea2, Gluc, Ca, Na, K, Cl, TP, TC, TG, and HDL (P > 0.05). The DMFT score was substantially greater (P < 0.002) in the infected team (5.38 ± 2.841) in comparison to the non-infected group (2.6 ± 2.257). The study indicates that COVID-19 infection does not leave biochemical alterations among children who did not have pre-existing conditions. The biochemical analysis suggests that children recover better than adults from COVID-19. Furthermore, it calls for investigating non-lethal COVID-19 infection as a tool to discover underlying conditions. The DMFT score shows a correlation between COVID-19 infection and caries. However, the nature of the correlation is yet to be investigated.
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Affiliation(s)
- Amal Abdulaziz Alsufyani
- College of Science and Health Professions, King Saud bin Abdulaziz University for Health Sciences, Jeddah, Saudi Arabia
- King Abdullah International Medical Research Center, Jeddah, Saudi Arabia
- Ministry of the National Guard - Health Affairs, Jeddah, Saudi Arabia
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19
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Milogrodzka I, Nguyen Pham DT, Sama GR, Samadian H, Zhai J, de Campo L, Kirby NM, Scott TF, Banaszak Holl MM, van 't Hag L. Effect of Cholesterol on Biomimetic Membrane Curvature and Coronavirus Fusion Peptide Encapsulation. ACS NANO 2023; 17:8598-8612. [PMID: 37078604 DOI: 10.1021/acsnano.3c01095] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/03/2023]
Abstract
Biomimetic cubic phases can be used for protein encapsulation in a variety of applications such as biosensors and drug delivery. Cubic phases with a high concentration of cholesterol and phospholipids were obtained herein. It is shown that the cubic phase structure can be maintained with a higher concentration of biomimetic membrane additives than has been reported previously. Opposing effects on the curvature of the membrane were observed upon the addition of phospholipids and cholesterol. Furthermore, the coronavirus fusion peptide significantly increased the negative curvature of the biomimetic membrane with cholesterol. We show that the viral fusion peptide can undergo structural changes leading to the formation of hydrophobic α-helices that insert into the lipid bilayer. This is of high importance, as a fusion peptide that induces increased negative curvature as shown by the formation of inverse hexagonal phases allows for greater contact area between two membranes, which is required for viral fusion to occur. The cytotoxicity assay showed that the toxicity toward HeLa cells was dramatically decreased when the cholesterol or peptide level in the nanoparticles increased. This suggests that the addition of cholesterol can improve the biocompatibility of the cubic phase nanoparticles, making them safer for use in biomedical applications. As the results, this work improves the potential for the biomedical end-use applications of the nonlamellar lipid nanoparticles and shows the need of systematic formulation studies due to the complex interplay of all components.
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Affiliation(s)
- Izabela Milogrodzka
- Department of Chemical and Biological Engineering, Monash University, Clayton, VIC 3800, Australia
| | - Duy Tue Nguyen Pham
- Department of Chemical and Biological Engineering, Monash University, Clayton, VIC 3800, Australia
| | - Gopal R Sama
- Department of Chemical and Biological Engineering, Monash University, Clayton, VIC 3800, Australia
| | - Hajar Samadian
- Department of Chemical and Biological Engineering, Monash University, Clayton, VIC 3800, Australia
| | - Jiali Zhai
- School of Science, STEM College, RMIT University, Melbourne, VIC 3000, Australia
| | - Liliana de Campo
- Australian Centre for Neutron Scattering, Australian Nuclear Science and Technology Organisation, Kirrawee, NSW 2234, Australia
| | - Nigel M Kirby
- Australian Synchrotron, 800 Blackburn Road, Clayton, VIC 3168, Australia
| | - Timothy F Scott
- Department of Chemical and Biological Engineering, Monash University, Clayton, VIC 3800, Australia
- Department of Materials Science and Engineering, Monash University, Clayton, VIC 3800, Australia
| | - Mark M Banaszak Holl
- Department of Chemical and Biological Engineering, Monash University, Clayton, VIC 3800, Australia
- Department of Mechanical and Materials Engineering, University of Alabama at Birmingham, Birmingham, Alabama 35294, United States
| | - Leonie van 't Hag
- Department of Chemical and Biological Engineering, Monash University, Clayton, VIC 3800, Australia
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20
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Brunet MA, Kraft ML. Toward Understanding the Subcellular Distributions of Cholesterol and Sphingolipids Using High-Resolution NanoSIMS Imaging. Acc Chem Res 2023; 56:752-762. [PMID: 36913670 DOI: 10.1021/acs.accounts.2c00760] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/15/2023]
Abstract
ConspectusCharacterizing the subcellular distributions of biomolecules of interest is a basic inquiry that helps inform on the potential roles of these molecules in biological functions. Presently, the functions of specific lipid species and cholesterol are not well understood, partially because cholesterol and lipid species of interest are difficult to image with high spatial resolution but without perturbing them. Because cholesterol and lipids are relatively small and their distributions are influenced by noncovalent interactions with other biomolecules, functionalizing them with relatively large labels that permit their detection may alter their distributions in membranes and between organelles. This challenge has been surmounted by exploiting rare stable isotopes as labels that may be metabolically incorporated into cholesterol and lipids without altering their chemical compositions, and the Cameca NanoSIMS 50 instrument's ability to image rare stable isotope labels with high spatial resolution. This Account covers the use of secondary ion mass spectrometry (SIMS) performed with a Cameca NanoSIMS 50 instrument for imaging cholesterol and sphingolipids in the membranes of mammalian cells. The NanoSIMS 50 detects monatomic and diatomic secondary ions ejected from the sample to map the elemental and isotopic composition at the surface of the sample with better than 50 nm lateral resolution and 5 nm depth resolution. Much effort has focused on using NanoSIMS imaging of rare isotope-labeled cholesterol and sphingolipids for testing the long-standing hypothesis that cholesterol and sphingolipids colocalize within distinct domains in the plasma membrane. By using a NanoSIMS 50 to image rare isotope-labeled cholesterol and sphingolipids in parallel with affinity-labeled proteins of interest, a hypothesis regarding the colocalization of specific membrane proteins with cholesterol and sphingolipids in distinct plasma membrane domains has been tested. NanoSIMS performed in a depth profiling mode has enabled imaging the intracellular distributions of cholesterol and sphingolipids. Important progress has also been made in developing a computational depth correction strategy for constructing more accurate three-dimensional (3D) NanoSIMS depth profiling images of intracellular component distribution without requiring additional measurements with complementary techniques or signal collection. This Account provides an overview of this exciting progress, focusing on the studies from our laboratory that shifted understanding of plasma membrane organization, and the development of enabling tools for visualizing intracellular lipids.
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21
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Zhang P, Liu Y, Li C, Stine LD, Wang PH, Turnbull MW, Wu H, Liu Q. Ectopic expression of SARS-CoV-2 S and ORF-9B proteins alters metabolic profiles and impairs contractile function in cardiomyocytes. Front Cell Dev Biol 2023; 11:1110271. [PMID: 36910162 PMCID: PMC9994814 DOI: 10.3389/fcell.2023.1110271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/30/2023] [Indexed: 02/25/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19) is associated with adverse impacts in the cardiovascular system, but the mechanisms driving this response remain unclear. In this study, we conducted "pseudoviral infection" of SARS-CoV-2 subunits to evaluate their toxic effects in cardiomyocytes (CMs), that were derived from human induced pluripotent stem cells (hiPSCs). We found that the ectopic expression of S and ORF-9B subunits significantly impaired the contractile function and altered the metabolic profiles in human cardiomyocytes. Further mechanistic study has shown that the mitochondrial oxidative phosphorylation (OXPHOS), membrane potential, and ATP production were significantly decreased two days after the overexpression of S and ORF-9B subunits, while S subunits induced higher level of reactive oxygen species (ROS). Two weeks after overexpression, glycolysis was elevated in the ORF-9B group. Based on the transcriptomic analysis, both S and ORF-9B subunits dysregulated signaling pathways associated with metabolism and cardiomyopathy, including upregulated genes involved in HIF-signaling and downregulated genes involved in cholesterol biosynthetic processes. The ORF-9B subunit also enhanced glycolysis in the CMs. Our results collectively provide an insight into the molecular mechanisms underlying SARS-CoV-2 subunits-induced metabolic alterations and cardiac dysfunctions in the hearts of COVID-19 patients.
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Affiliation(s)
- Peng Zhang
- Department of Biological Sciences, Clemson University, Clemson, SC, United States
| | - Yu Liu
- Stanford Cardiovascular Institute, Stanford University School of Medicine, Stanford, CA, United States
| | - Chunfeng Li
- Institute for Immunity, Transplantation, and Infection, Stanford University, Stanford, CA, United States
| | - Lindsay D. Stine
- Southern Illinois University School of Medicine, Springfield, IL, United States
| | - Pei-Hui Wang
- Key Laboratory for Experimental Teratology of Ministry of Education and Advanced Medical Research Institute, Cheeloo College of Medicine, Shandong University, Jinan, China
| | - Matthew W. Turnbull
- Department of Biological Sciences, Clemson University, Clemson, SC, United States
| | - Haodi Wu
- Department of Medicine, Division of Cardiology, Heart, Lung, Blood, and Vascular Medicine Institute, University of Pittsburgh, Pittsburgh, PA, United States
| | - Qing Liu
- Department of Biological Sciences, Clemson University, Clemson, SC, United States
- Center for Human Genetics, Clemson University, Greenwood, SC, United States
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22
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Duzgun Z, Kural BV, Orem A, Yildiz I. In silico investigation of the interactions of certain drugs proposed for the treatment of Covid-19 with the paraoxonase-1. J Biomol Struct Dyn 2023; 41:884-896. [PMID: 34895069 DOI: 10.1080/07391102.2021.2014971] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Coronavirus disease 2019 (Covid-19) has caused one of the biggest pandemics of modern times, infected over 240 million people and killed over 4.9 million people, and continues to do so. Although many drugs are widely recommended in the treatment of this disease, the interactions of these drugs with an anti-atherosclerotic enzyme, paraoxonase-1 (PON1), are not well known. In our study, we investigated the interactions of 18 different drugs, which are claimed to be effective against covid-19, with the PON1 enzyme and its genetics variants L55M and Q192R with molecular docking, molecular dynamics simulation and free energy calculation method MM/PBSA. We found that ruxolitinib, dexamethasone, colchicine; dexamethasone, sitagliptin, baricitinib and galidesivir, ruxolitinib, hydroxychloroquine were the most effective compounds in binding PON1-w, PON1L55M and PON1Q192R respectively. Mainly, sitagliptin, galidesivir and hydroxychloroquine have attracted attention by showing very high affinity (<-300 kJ/mol) according to the MM/PBSA method. We concluded that the drug interactions should be considered and more attention should be paid in the use of these drugs.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Zekeriya Duzgun
- Faculty of Medicine, Department of Medical Biology, Giresun University, Giresun, Turkey
| | - Birgül Vanizor Kural
- Faculty of Medicine, Department of Biochemistry, Karadeniz Technical University, Trabzon, Turkey
| | - Asim Orem
- Faculty of Medicine, Department of Biochemistry, Karadeniz Technical University, Trabzon, Turkey
| | - Ilkay Yildiz
- Faculty of Pharmacy, Department of Pharmaceutical Chemistry, Ankara University, Ankara, Turkey
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23
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Daramola O, Kavu TD, Kotze MJ, Kamati O, Emjedi Z, Kabaso B, Moser T, Stroetmann K, Fwemba I, Daramola F, Nyirenda M, van Rensburg SJ, Nyasulu PS, Marnewick JL. Detecting the most critical clinical variables of COVID-19 breakthrough infection in vaccinated persons using machine learning. Digit Health 2023; 9:20552076231207593. [PMID: 37936960 PMCID: PMC10627023 DOI: 10.1177/20552076231207593] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Accepted: 09/28/2023] [Indexed: 11/09/2023] Open
Abstract
Background COVID-19 vaccines offer different levels of immune protection but do not provide 100% protection. Vaccinated persons with pre-existing comorbidities may be at an increased risk of SARS-CoV-2 breakthrough infection or reinfection. The aim of this study is to identify the critical variables associated with a higher probability of SARS-CoV-2 breakthrough infection using machine learning. Methods A dataset comprising symptoms and feedback from 257 persons, of whom 203 were vaccinated and 54 unvaccinated, was used for the investigation. Three machine learning algorithms - Deep Multilayer Perceptron (Deep MLP), XGBoost, and Logistic Regression - were trained with the original (imbalanced) dataset and the balanced dataset created by using the Random Oversampling Technique (ROT), and the Synthetic Minority Oversampling Technique (SMOTE). We compared the performance of the classification algorithms when the features highly correlated with breakthrough infection were used and when all features in the dataset were used. Result The results show that when highly correlated features were considered as predictors, with Random Oversampling to address data imbalance, the XGBoost classifier has the best performance (F1 = 0.96; accuracy = 0.96; AUC = 0.98; G-Mean = 0.98; MCC = 0.88). The Deep MLP had the second best performance (F1 = 0.94; accuracy = 0.94; AUC = 0.92; G-Mean = 0.70; MCC = 0.42), while Logistic Regression had less accurate performance (F1 = 0.89; accuracy = 0.88; AUC = 0.89; G-Mean = 0.89; MCC = 0.68). We also used Shapley Additive Explanations (SHAP) to investigate the interpretability of the models. We found that body temperature, total cholesterol, glucose level, blood pressure, waist circumference, body weight, body mass index (BMI), haemoglobin level, and physical activity per week are the most critical variables indicating a higher risk of breakthrough infection. Conclusion These results, evident from our unique data source derived from apparently healthy volunteers with cardiovascular risk factors, follow the expected pattern of positive or negative correlations previously reported in the literature. This information strengthens the body of knowledge currently applied in public health guidelines and may also be used by medical practitioners in the future to reduce the risk of SARS-CoV-2 breakthrough infection.
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Affiliation(s)
- Olawande Daramola
- Department of Information Technology, Faculty of Informatics and Design, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Tatenda Duncan Kavu
- Department of Information Technology, Faculty of Informatics and Design, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Maritha J Kotze
- Division of Chemical Pathology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
- Division of Chemical Pathology, Department of Pathology, National Health Laboratory Service, Tygerberg Hospital, Cape Town, South Africa
| | - Oiva Kamati
- Applied Microbial and Health Biotechnology Institute (AMHBI), Cape Peninsula University of Technology, Cape Town, South Africa
- Department of Biomedical Sciences, Faculty of Health and Wellness Sciences, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Zaakiyah Emjedi
- Applied Microbial and Health Biotechnology Institute (AMHBI), Cape Peninsula University of Technology, Cape Town, South Africa
| | - Boniface Kabaso
- Department of Information Technology, Faculty of Informatics and Design, Cape Peninsula University of Technology, Cape Town, South Africa
| | - Thomas Moser
- St. Pölten University of Applied Sciences, St. Pölten, Austria
| | - Karl Stroetmann
- School of Health Information Science, University of Victoria, Victoria, BC, Canada
| | - Isaac Fwemba
- Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Fisayo Daramola
- Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Martha Nyirenda
- Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Susan J van Rensburg
- Division of Chemical Pathology, Department of Pathology, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Peter S Nyasulu
- Division of Epidemiology and Biostatistics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
| | - Jeanine L Marnewick
- Applied Microbial and Health Biotechnology Institute (AMHBI), Cape Peninsula University of Technology, Cape Town, South Africa
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24
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Role of Lipid Profile and Its Relative Ratios (Cholesterol/HDL-C, Triglyceride/HDL-C, LDL-C/HDL-C, WBC/HDL-C, and FBG/HDL-C) on Admission Predicts In-Hospital Mortality COVID-19. J Lipids 2023; 2023:6329873. [PMID: 36923284 PMCID: PMC10010876 DOI: 10.1155/2023/6329873] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 02/04/2023] [Accepted: 02/22/2023] [Indexed: 03/08/2023] Open
Abstract
Background Lipid profile and its related ratios such as total cholesterol (TC), low-density lipoprotein-cholesterol (LDL-C), triglyceride (TG), high-density lipoprotein-cholesterol (HDL-C), TG/HDL-C ratio, TC/HDL-C ratio, LDL-C/HDL-C ratio, white blood cell (WBC)/HDL-C ratio, and fasting blood glucose (FBG)/HDL-C ratio are valuable indicators that have been studied in various disorders to predict mortality. The present study was conducted with the aim of investigating the role of lipid profile ratios in predicting mortality in COVID-19 patients. Methods At the beginning of hospitalization, laboratory tests were taken from all patients (n = 300). The ability of lipid profile ratios to determine the COVID-19 severity was evaluated using receiver-operating characteristic (ROC). In addition, survival probability was determined with the average of Kaplan-Meier curves, so that the end point was death. Results In deceased patients, TG, TC, LDL-C, HDL-C, TC/HDL-C, TG/HDL-C, and LDL-C/HDL-C parameters were significantly lower than those of surviving patients, while WBC/HDL-C and FBG/HDL-C were significantly higher. TC (HR = 3.178, 95%CI = 1.064 to 9.491, P < 0.05), TG (HR = 3.276, 95%CI = 1.111 to 9.655, P < 0.05), LDL-C (HR = 3.207, 95%CI = 1.104 to 9.316, P < 0.05), and HDL-C (HR = 3.690, 95%CI = 1.290 to 10.554, P < 0.05), as well as TC/HDL-C (HR = 3.860, 95%CI = 1.289 to 11.558, P < 0.05), TG/HDL-C (HR = 3.860, 95%CI = 1.289 to 11.558, P < 0.05), LDL-C/HDL-C (HR = 3.915, 95%CI = 1.305 to 11.739, P < 0.05), WBC/HDL-C (HR = 3.232, 95%CI = 1.176 to 8.885, P < 0.05), and FBG/HDL-C ratios (HR = 4.474, 95%CI = 1.567 to 12.777, P < 0.01), were detectably related to survival. The multivariate Cox regression models showed that only FBG/HDL-C ratio (HR = 5.477, 95%CI = 1.488 to 20.153, P < 0.01) was significantly related to survival. Conclusion The results suggested that FBG/HDL-C ratio in hospital-admitted COVID-19 patients was a reliable predictor of mortality.
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25
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Piontek MC, Roos WH. Lipoprotein particles exhibit distinct mechanical properties. JOURNAL OF EXTRACELLULAR BIOLOGY 2022; 1:e68. [PMID: 38938600 PMCID: PMC11080718 DOI: 10.1002/jex2.68] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 10/12/2022] [Accepted: 11/23/2022] [Indexed: 06/29/2024]
Abstract
Lipoproteins (LPs) are micelle-like structures with a similar size to extracellular vesicles (EVs) and are therefore often co-isolated, as intensively discussed within the EV community. LPs from human blood plasma are of particular interest as they are responsible for the deposition of cholesterol ester and other fats in the artery, causing lesions, and eventually atherosclerosis. Plasma lipoproteins can be divided according to their size, density and composition into chylomicrons (CM), very-low-density lipoproteins (VLDL), low-density lipoproteins (LDL) and high-density lipoproteins (HDL). Here, we use atomic force microscopy for mechanical characterization of LPs. We show that the nanoindentation approach used for EV analysis can also be used to characterize LPs, revealing specific differences between some of the particles. Comparing LPs with each other, LDL exhibit a higher bending modulus as compared to CM and VLDL, which is likely related to differences in cholesterol and apolipoproteins. Furthermore, CM typically collapse on the surface after indentation and HDL exhibit a very low height after surface adhesion both being indications for the presence of LPs in an EV sample. Our analysis provides new systematic insights into the mechanical characteristics of LPs.
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Affiliation(s)
- Melissa C. Piontek
- Moleculaire BiofysicaZernike Instituut, Rijksuniversiteit GroningenGroningenThe Netherlands
| | - Wouter H. Roos
- Moleculaire BiofysicaZernike Instituut, Rijksuniversiteit GroningenGroningenThe Netherlands
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26
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Captur G, Moon JC, Topriceanu CC, Joy G, Swadling L, Hallqvist J, Doykov I, Patel N, Spiewak J, Baldwin T, Hamblin M, Menacho K, Fontana M, Treibel TA, Manisty C, O'Brien B, Gibbons JM, Pade C, Brooks T, Altmann DM, Boyton RJ, McKnight Á, Maini MK, Noursadeghi M, Mills K, Heywood WE. Plasma proteomic signature predicts who will get persistent symptoms following SARS-CoV-2 infection. EBioMedicine 2022; 85:104293. [PMID: 36182629 PMCID: PMC9515404 DOI: 10.1016/j.ebiom.2022.104293] [Citation(s) in RCA: 30] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/21/2022] [Revised: 08/27/2022] [Accepted: 09/16/2022] [Indexed: 12/15/2022] Open
Abstract
BACKGROUND The majority of those infected by ancestral Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) during the UK first wave (starting March 2020) did not require hospitalisation. Most had a short-lived mild or asymptomatic infection, while others had symptoms that persisted for weeks or months. We hypothesized that the plasma proteome at the time of first infection would reflect differences in the inflammatory response that linked to symptom severity and duration. METHODS We performed a nested longitudinal case-control study and targeted analysis of the plasma proteome of 156 healthcare workers (HCW) with and without lab confirmed SARS-CoV-2 infection. Targeted proteomic multiple-reaction monitoring analysis of 91 pre-selected proteins was undertaken in uninfected healthcare workers at baseline, and in infected healthcare workers serially, from 1 week prior to 6 weeks after their first confirmed SARS-CoV-2 infection. Symptom severity and antibody responses were also tracked. Questionnaires at 6 and 12 months collected data on persistent symptoms. FINDINGS Within this cohort (median age 39 years, interquartile range 30-47 years), 54 healthcare workers (44% male) had PCR or antibody confirmed infection, with the remaining 102 (38% male) serving as uninfected controls. Following the first confirmed SARS-CoV-2 infection, perturbation of the plasma proteome persisted for up to 6 weeks, tracking symptom severity and antibody responses. Differentially abundant proteins were mostly coordinated around lipid, atherosclerosis and cholesterol metabolism pathways, complement and coagulation cascades, autophagy, and lysosomal function. The proteomic profile at the time of seroconversion associated with persistent symptoms out to 12 months. Data are available via ProteomeXchange with identifier PXD036590. INTERPRETATION Our findings show that non-severe SARS-CoV-2 infection perturbs the plasma proteome for at least 6 weeks. The plasma proteomic signature at the time of seroconversion has the potential to identify which individuals are more likely to suffer from persistent symptoms related to SARS-CoV-2 infection. FUNDING INFORMATION The COVIDsortium is supported by funding donated by individuals, charitable Trusts, and corporations including Goldman Sachs, Citadel and Citadel Securities, The Guy Foundation, GW Pharmaceuticals, Kusuma Trust, and Jagclif Charitable Trust, and enabled by Barts Charity with support from University College London Hospitals (UCLH) Charity. This work was additionally supported by the Translational Mass Spectrometry Research Group and the Biomedical Research Center (BRC) at Great Ormond Street Hospital.
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Affiliation(s)
- Gabriella Captur
- UCL MRC Unit for Lifelong Health and Ageing, 33 Bedford Place, London WC1B 5JU, UK; Institute of Cardiovascular Science, University College London, Gower Street, London WC1E 6BT, UK; The Royal Free Hospital, Center for Inherited Heart Muscle Conditions, Cardiology Department, Pond Street, Hampstead, London NW3 2QG, UK
| | - James C Moon
- Institute of Cardiovascular Science, University College London, Gower Street, London WC1E 6BT, UK; Barts Heart Center, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London EC1A 7BE, UK
| | - Constantin-Cristian Topriceanu
- UCL MRC Unit for Lifelong Health and Ageing, 33 Bedford Place, London WC1B 5JU, UK; Institute of Cardiovascular Science, University College London, Gower Street, London WC1E 6BT, UK
| | - George Joy
- Institute of Cardiovascular Science, University College London, Gower Street, London WC1E 6BT, UK; Barts Heart Center, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London EC1A 7BE, UK
| | - Leo Swadling
- Division of Infection and Immunity, University College London, London WC1E 6JF, UK
| | - Jenny Hallqvist
- Translational Mass Spectrometry Research Group, UCL Institute of Child Health and Great Ormond Street Hospital, 30 Guilford Street, London WC1N 1EH, UK
| | - Ivan Doykov
- Translational Mass Spectrometry Research Group, UCL Institute of Child Health and Great Ormond Street Hospital, 30 Guilford Street, London WC1N 1EH, UK
| | - Nina Patel
- Translational Mass Spectrometry Research Group, UCL Institute of Child Health and Great Ormond Street Hospital, 30 Guilford Street, London WC1N 1EH, UK
| | - Justyna Spiewak
- Translational Mass Spectrometry Research Group, UCL Institute of Child Health and Great Ormond Street Hospital, 30 Guilford Street, London WC1N 1EH, UK
| | - Tomas Baldwin
- Translational Mass Spectrometry Research Group, UCL Institute of Child Health and Great Ormond Street Hospital, 30 Guilford Street, London WC1N 1EH, UK
| | - Matt Hamblin
- Barts Heart Center, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London EC1A 7BE, UK
| | - Katia Menacho
- Institute of Cardiovascular Science, University College London, Gower Street, London WC1E 6BT, UK; Barts Heart Center, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London EC1A 7BE, UK
| | - Marianna Fontana
- Institute of Cardiovascular Science, University College London, Gower Street, London WC1E 6BT, UK; The Royal Free Hospital, Cardiac MRI Unit, Pond Street, Hampstead, London NW3 2QG, UK
| | - Thomas A Treibel
- Institute of Cardiovascular Science, University College London, Gower Street, London WC1E 6BT, UK; Barts Heart Center, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London EC1A 7BE, UK
| | - Charlotte Manisty
- Institute of Cardiovascular Science, University College London, Gower Street, London WC1E 6BT, UK; Barts Heart Center, The Cardiovascular Magnetic Resonance Imaging Unit and The Inherited Cardiovascular Diseases Unit, St Bartholomew's Hospital, West Smithfield, London EC1A 7BE, UK
| | - Ben O'Brien
- Department of Perioperative Medicine, St. Bartholomew's Hospital, Barts Health NHS Trust, West Smithfield, London EC1A 7BE, UK; Department of Cardiac Anesthesiology and Intensive Care Medicine, German Heart Center, Augustenburger Platz 1, 13353 Berlin, Germany; Department of Cardiac Anesthesiology and Intensive Care Medicine, Charité Berlin, Augustenburger Platz 1, 13353 Berlin, Germany; Outcomes Research Consortium, Department of Outcomes Research, The Cleveland Clinic, 9500 Euclid Ave P77, Cleveland, OH 44195, USA
| | - Joseph M Gibbons
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Corrina Pade
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Tim Brooks
- National Infection Service, Public Health England, Porton Down, UK
| | - Daniel M Altmann
- Department of Immunology and Inflammation, Imperial College London, London W12 0NN, UK
| | - Rosemary J Boyton
- Department of Infectious Disease, Imperial College London, London SW7 2AZ, UK; Lung Division, Royal Brompton Harefield Hospitals, Guy's and St Thomas' NHS Foundation Trust, London SW3 6NP, UK
| | - Áine McKnight
- Blizard Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London E1 2AT, UK
| | - Mala K Maini
- Division of Infection and Immunity, University College London, London WC1E 6JF, UK
| | - Mahdad Noursadeghi
- Division of Infection and Immunity, University College London, London WC1E 6JF, UK
| | - Kevin Mills
- Translational Mass Spectrometry Research Group, UCL Institute of Child Health and Great Ormond Street Hospital, 30 Guilford Street, London WC1N 1EH, UK
| | - Wendy E Heywood
- Translational Mass Spectrometry Research Group, UCL Institute of Child Health and Great Ormond Street Hospital, 30 Guilford Street, London WC1N 1EH, UK.
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Brunet MA, Gorman BL, Kraft ML. Depth Correction of 3D NanoSIMS Images Shows Intracellular Lipid and Cholesterol Distributions while Capturing the Effects of Differential Sputter Rate. ACS NANO 2022; 16:16221-16233. [PMID: 36218061 DOI: 10.1021/acsnano.2c05148] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Knowledge of the distributions of drugs, metabolites, and drug carriers within cells is a prerequisite for the development of effective disease treatments. Intracellular component distribution may be imaged with high sensitivity and spatial resolution by using a NanoSIMS in the depth profiling mode. Depth correction strategies that capture the effects of differential sputtering without requiring additional measurements could enable producing accurate 3D NanoSIMS depth profiling images of intracellular component distributions. Here we describe an approach for depth correcting 3D NanoSIMS depth profiling images of cells that accounts for differential sputter rates. Our approach uses the secondary ion and secondary electron depth profiling images to reconstruct the cell's morphology at every raster plane. These cell morphology reconstructions are used to adjust the z-positions and heights of the voxels in the component-specific 3D NanoSIMS images. We validated this strategy using AFM topography data and reconstructions created from depth profiling images acquired with focused ion beam-secondary electron microscopy. Good agreement was found for the shapes and relative heights of the reconstructed morphologies. Application of this depth correction strategy to 3D NanoSIMS depth profiling images of a metabolically labeled cell better resolved the transport vesicles, organelles, and organellar membranes containing 18O-cholesterol and 15N-sphingolipids. Accurate 3D NanoSIMS images of intracellular component distributions may now be produced without requiring correlated analyses with separate instruments or the assumption of a constant sputter rate. This will allow visualization of the subcellular distributions of lipids, metabolites, drugs, and nanoparticles in 3D, information pivotal to understanding and treating disease.
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28
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Wang ZP, Hua M, Jiu T, Ge RL, Bai Z. Biofunctional roles of estrogen in coronavirus disease 2019: Beyond a steroid hormone. Front Pharmacol 2022; 13:1003469. [PMID: 36339571 PMCID: PMC9626865 DOI: 10.3389/fphar.2022.1003469] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 10/06/2022] [Indexed: 09/26/2023] Open
Abstract
The coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), epidemic poses a major global public health threat with more than one million daily new infections and hundreds of deaths. To combat this global pandemic, efficient prevention and management strategies are urgently needed. Together with the main characteristics of COVID-19, impaired coagulation with dysfunctions of the immune response in COVID-19 pathophysiology causes high mortality and morbidity. From recent clinical observations, increased expression of specific types of estrogen appears to protect patients from SARS-CoV-2 infection, thereby, reducing mortality. COVID-19 severity is less common in women than in men, particularly in menopausal women. Furthermore, estrogen levels are negatively correlated with COVID-19 severity and mortality. These findings suggest that estrogen plays a protective role in the pathophysiology of COVID-19. In this review, we discuss the potential roles of estrogen in blocking the SARS-CoV-2 from invading alveolar cells and replicating, and summarize the potential mechanisms of anti-inflammation, immune modulation, reactive oxygen species resistance, anti-thrombosis, vascular dilation, and vascular endothelium protection. Finally, the potential therapeutic effects of estrogen against COVID-19 are reviewed. This review provides insights into the role of estrogen and its use as a potential strategy to reduce the mortality associated with COVID-19, and possibly other viral infections and discusses the possible challenges and pertinent questions.
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Affiliation(s)
- Zhong-Ping Wang
- Clinical Medicine, School of Medicine, Qinghai University, Xining, China
- Department of Respiratory and Critical Diseases, Affiliated Hospital of Qinghai University, Xining, China
| | - Mao Hua
- Department of Respiratory and Critical Diseases, Affiliated Hospital of Qinghai University, Xining, China
| | - Tai Jiu
- Department of Respiratory and Critical Diseases, Affiliated Hospital of Qinghai University, Xining, China
| | - Ri-Li Ge
- Research Center of High-Altitude Medicine, School of Medicine, Qinghai University, Xining, China
- Joint Lab of Qinghai-Utah for High Altitude Medicine, School of Medicine, Qinghai University, Xining, China
| | - Zhenzhong Bai
- Clinical Medicine, School of Medicine, Qinghai University, Xining, China
- Research Center of High-Altitude Medicine, School of Medicine, Qinghai University, Xining, China
- Joint Lab of Qinghai-Utah for High Altitude Medicine, School of Medicine, Qinghai University, Xining, China
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Velichko A, Huyut MT, Belyaev M, Izotov Y, Korzun D. Machine Learning Sensors for Diagnosis of COVID-19 Disease Using Routine Blood Values for Internet of Things Application. SENSORS (BASEL, SWITZERLAND) 2022; 22:7886. [PMID: 36298235 PMCID: PMC9610709 DOI: 10.3390/s22207886] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/10/2022] [Accepted: 10/14/2022] [Indexed: 05/16/2023]
Abstract
Healthcare digitalization requires effective applications of human sensors, when various parameters of the human body are instantly monitored in everyday life due to the Internet of Things (IoT). In particular, machine learning (ML) sensors for the prompt diagnosis of COVID-19 are an important option for IoT application in healthcare and ambient assisted living (AAL). Determining a COVID-19 infected status with various diagnostic tests and imaging results is costly and time-consuming. This study provides a fast, reliable and cost-effective alternative tool for the diagnosis of COVID-19 based on the routine blood values (RBVs) measured at admission. The dataset of the study consists of a total of 5296 patients with the same number of negative and positive COVID-19 test results and 51 routine blood values. In this study, 13 popular classifier machine learning models and the LogNNet neural network model were exanimated. The most successful classifier model in terms of time and accuracy in the detection of the disease was the histogram-based gradient boosting (HGB) (accuracy: 100%, time: 6.39 sec). The HGB classifier identified the 11 most important features (LDL, cholesterol, HDL-C, MCHC, triglyceride, amylase, UA, LDH, CK-MB, ALP and MCH) to detect the disease with 100% accuracy. In addition, the importance of single, double and triple combinations of these features in the diagnosis of the disease was discussed. We propose to use these 11 features and their binary combinations as important biomarkers for ML sensors in the diagnosis of the disease, supporting edge computing on Arduino and cloud IoT service.
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Affiliation(s)
- Andrei Velichko
- Institute of Physics and Technology, Petrozavodsk State University, 33 Lenin Ave., 185910 Petrozavodsk, Russia
| | - Mehmet Tahir Huyut
- Department of Biostatistics and Medical Informatics, Faculty of Medicine, Erzincan Binali Yıldırım University, 24000 Erzincan, Türkiye
| | - Maksim Belyaev
- Institute of Physics and Technology, Petrozavodsk State University, 33 Lenin Ave., 185910 Petrozavodsk, Russia
| | - Yuriy Izotov
- Institute of Physics and Technology, Petrozavodsk State University, 33 Lenin Ave., 185910 Petrozavodsk, Russia
| | - Dmitry Korzun
- Department of Computer Science, Institute of Mathematics and Information Technology, Petrozavodsk State University, 33 Lenin Ave., 185910 Petrozavodsk, Russia
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Kowalska K, Sabatowska Z, Forycka J, Młynarska E, Franczyk B, Rysz J. The Influence of SARS-CoV-2 Infection on Lipid Metabolism—The Potential Use of Lipid-Lowering Agents in COVID-19 Management. Biomedicines 2022; 10:biomedicines10092320. [PMID: 36140421 PMCID: PMC9496398 DOI: 10.3390/biomedicines10092320] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/23/2022] [Revised: 08/31/2022] [Accepted: 09/07/2022] [Indexed: 12/15/2022] Open
Abstract
Several studies have indicated lipid metabolism alterations during COVID-19 infection, specifically a decrease in high-density lipoprotein (HDL) and low-density lipoprotein (LDL) concentrations and an increase in triglyceride (TG) levels during the infection. However, a decline in triglycerides can also be observed in critical cases. A direct correlation can be observed between a decrease in serum cholesterol, HDL-C, LDL-C and TGs, and the severity of the disease; these laboratory findings can serve as potential markers for patient outcomes. The transmission of coronavirus increases proportionally with rising levels of cholesterol in the cell membrane. This is due to the fact that cholesterol increases the number of viral entry spots and the concentration of angiotensin-converting enzyme 2 (ACE2) receptor, crucial for viral penetration. Studies have found that lower HDL-C levels correspond with a higher susceptibility to SARS-CoV-2 infection and infections in general, while higher HDL-C levels were related to a lower risk of developing them. However, extremely high HDL-C levels in serum increase the risk of infectious diseases and is associated with a higher risk of cardiovascular events. Low HDL-C levels are already accepted as a marker for risk stratification in critical illnesses, and higher HDL-C levels prior to the infection is associated with a lower risk of death in older patients. The correlation between LDL-C levels and disease severity is still unclear. However, TG levels were significantly higher in non-surviving severe patients compared to those that survived; therefore, elevated TG-C levels in COVID-19 patients may be considered an indicator of uncontrolled inflammation and an increased risk of death.
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31
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The Bovine Seminal Plasma Protein PDC-109 Possesses Pan-Antiviral Activity. Viruses 2022; 14:v14092031. [PMID: 36146836 PMCID: PMC9504757 DOI: 10.3390/v14092031] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2022] [Revised: 09/08/2022] [Accepted: 09/08/2022] [Indexed: 11/16/2022] Open
Abstract
Mammalian seminal plasma contains a multitude of bioactive components, including lipids, glucose, mineral elements, metabolites, proteins, cytokines, and growth factors, with various functions during insemination and fertilization. The seminal plasma protein PDC-109 is one of the major soluble components of the bovine ejaculate and is crucially important for sperm motility, capacitation, and acrosome reaction. A hitherto underappreciated function of seminal plasma is its anti-microbial and antiviral activity, which may limit the sexual transmission of infectious diseases during intercourse. We have recently discovered that PDC-109 inhibits the membrane fusion activity of influenza virus particles and significantly impairs viral infections at micromolar concentrations. Here we investigated whether the antiviral activity of PDC-109 is restricted to Influenza or if other mammalian viruses are similarly affected. We focused on Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), the etiological agent of the Coronavirus Disease 19 (COVID-19), thoroughly assessing PDC-109 inhibition with SARS-CoV-2 Spike (S)-pseudotyped reporter virus particles, but also live-virus infections. Consistent with our previous publications, we found significant virus inhibition, albeit accompanied by substantial cytotoxicity. However, using time-of-addition experiments we discovered a treatment regimen that enables virus suppression without affecting cell viability. We furthermore demonstrated that PDC-109 is also able to impair infections mediated by the VSV glycoprotein (VSVg), thus indicating a broad pan-antiviral activity against multiple virus species and families.
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32
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Singularity and Commonality in Response to SARS-CoV-2 in Lung and Colon Cell Models. Int J Mol Sci 2022; 23:ijms231810451. [PMID: 36142362 PMCID: PMC9499647 DOI: 10.3390/ijms231810451] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2022] [Revised: 09/01/2022] [Accepted: 09/05/2022] [Indexed: 11/16/2022] Open
Abstract
The systemic nature of COVID-19 with multiple extrapulmonary manifestations of disease, largely due to the wide tissue expression of SARS-CoV-2 major entry factors, as well as the patient-specific features of COVID-19 pathobiology, determine important directions for basic and translational research. In the current study, we addressed the questions of singularities and commonalities in cellular responses to SARS-CoV-2 and related SARS-CoV on the basis of compendium-wide analysis of publicly available transcriptomic datasets as part of the herein implemented multi-modular UNCOVIDING approach. We focused on cellular models attributed to the epithelial cells of the respiratory system, the Calu-3 cell line, and epithelial cells of the gastrointestinal tract, the Caco-2 cell line, infected with either SARS-CoV-2 or SARS-CoV. Here, we report the outcome of a comparative analysis based on differentially expressed genes in terms of perturbations and diseases, Canonical pathways, and Upstream Regulators. We furthermore performed compendium-wide analysis across more than 19,000 mRNASeq datasets and dissected the condition-specific gene signatures. Information was gained with respect to common and unique cellular responses and molecular events. We identified that in cell lines of colon or lung origin, both viruses show similarities in cellular responses; by contrast, there are cell type-specific regulators that differed for Calu-3 and Caco-2 cells. Among the major findings is the impact of the interferon system for lung Calu-3 cells and novel links to the liver- and lipid-metabolism-associated responses for colon Caco-2 cells as part of the extrapulmonary pathomechanisms in the course of COVID-19. Among differently expressed genes, we specifically dissected the expression pattern of the APOBEC family members and propose APOBEC3G as a promising intrinsic antiviral factor of the host response to SARS-CoV-2. Overall, our study provides gene expression level evidence for the cellular responses attributed to pulmonary and gastrointestinal manifestations of COVID-19.
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Raheem Juhi Al-Kaabi N, Khameneh SC, Montazeri M, Mardasi M, Amroabadi JM, Sakhaee F, Fateh A. On the relationship between tripartite motif-containing 22 single-nucleotide polymorphisms and COVID-19 infection severity. Hum Genomics 2022; 16:33. [PMID: 36028902 PMCID: PMC9412778 DOI: 10.1186/s40246-022-00394-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Accepted: 06/05/2022] [Indexed: 11/13/2022] Open
Abstract
Background The tripartite motif containing (TRIM)-22 participates in innate immune responses and exhibits antiviral activities. The present study aimed to assess of the relationship between TRIM22 single-nucleotide polymorphisms and clinical parameters with the coronavirus disease 2019 (COVID-19) infection severity.
Methods TRIM22 polymorphisms (rs7113258, rs7935564, and rs1063303) were genotyped using TaqMan polymerase chain reaction (PCR) assay in 495 dead and 497 improved severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-positive patients.
Results In this study, the frequencies of TRIM22 rs1063303 GG, rs7935564 GG, and rs7113258 TT were significantly higher in dead patients than in improved patients, and higher viral load with low PCR Ct value was noticed in dead patients. The multivariate logistic regression analysis revealed that the lower levels of low-density lipoprotein (LDL), cholesterol, PCR Ct value, and lower 25-hydroxyvitamin D, and also higher levels of erythrocyte sedimentation rate (ESR), C-reactive protein (CRP), and TRIM22 rs1063303 GG, rs7113258 TT, and rs3824949 GG genotypes were related to the COVID-19 infection severity.
Conclusion Our finding proved the probable relationship between the COVID-19 infection severity with the genotypes of TRIM22 SNPs and clinical parameters. More research is required worldwide to show the association between the COVID-19 infection severity and host genetic factors.
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Affiliation(s)
| | | | - Mohadeseh Montazeri
- Tissue Engineering and Biomaterials Research Center, National Institute of Genetic, Engineering and Biotechnology (NIGEB), Tehran, Iran
| | - Mahsa Mardasi
- Department of Plant Science and Biotechnology, Faculty of Life Science and Biotechnology, Shahid Beheshti University G.C, Evin, Tehran, Iran
| | | | - Fatemeh Sakhaee
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran
| | - Abolfazl Fateh
- Department of Mycobacteriology and Pulmonary Research, Pasteur Institute of Iran, Tehran, Iran. .,Microbiology Research Center (MRC), Pasteur Institute of Iran, Tehran, Iran.
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Lam SM, Huang X, Shui G. Neurological aspects of SARS-CoV-2 infection: lipoproteins and exosomes as Trojan horses. Trends Endocrinol Metab 2022; 33:554-568. [PMID: 35613979 PMCID: PMC9058057 DOI: 10.1016/j.tem.2022.04.011] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 04/20/2022] [Accepted: 04/26/2022] [Indexed: 12/14/2022]
Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) primarily targets lipid-producing cells for viral tropism. In this review, we connect systemic lipid couriers, particularly high-density lipoproteins (HDLs) and exosomes, with the neurological facets of SARS-CoV-2 infection. We discuss how SARS-CoV-2 preferentially targets lipid-secreting cells and usurps host cell lipid metabolism for efficient replication and systemic spreading. Besides providing natural veils for viral materials against host immunity, the inherent properties of some of these endogenous lipid particles to traverse the blood-brain barrier (BBB) also offer alternative routes for SARS-CoV-2 neurotropism. Importantly, virus-driven neurological aberrations mediated by HDLs and exosomes are fueled by lipid rafts, which are implicated in the production and transmigration of these lipid particles across the BBB. Finally, we discuss how repurposing existing drugs targeting lipid rafts and cholesterol homeostasis may be beneficial toward alleviating the global coronavirus disease 2019 (COVID-19) disease burden.
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Affiliation(s)
- Sin Man Lam
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; LipidALL Technologies Company Limited, Changzhou 213022, Jiangsu Province, China
| | - Xun Huang
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Guanghou Shui
- State Key Laboratory of Molecular Developmental Biology, Institute of Genetics and Developmental Biology, Chinese Academy of Sciences, Beijing 100101, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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Clerbaux LA, Albertini MC, Amigó N, Beronius A, Bezemer GFG, Coecke S, Daskalopoulos EP, del Giudice G, Greco D, Grenga L, Mantovani A, Muñoz A, Omeragic E, Parissis N, Petrillo M, Saarimäki LA, Soares H, Sullivan K, Landesmann B. Factors Modulating COVID-19: A Mechanistic Understanding Based on the Adverse Outcome Pathway Framework. J Clin Med 2022; 11:4464. [PMID: 35956081 PMCID: PMC9369763 DOI: 10.3390/jcm11154464] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 07/05/2022] [Accepted: 07/06/2022] [Indexed: 12/10/2022] Open
Abstract
Addressing factors modulating COVID-19 is crucial since abundant clinical evidence shows that outcomes are markedly heterogeneous between patients. This requires identifying the factors and understanding how they mechanistically influence COVID-19. Here, we describe how eleven selected factors (age, sex, genetic factors, lipid disorders, heart failure, gut dysbiosis, diet, vitamin D deficiency, air pollution and exposure to chemicals) influence COVID-19 by applying the Adverse Outcome Pathway (AOP), which is well-established in regulatory toxicology. This framework aims to model the sequence of events leading to an adverse health outcome. Several linear AOPs depicting pathways from the binding of the virus to ACE2 up to clinical outcomes observed in COVID-19 have been developed and integrated into a network offering a unique overview of the mechanisms underlying the disease. As SARS-CoV-2 infectibility and ACE2 activity are the major starting points and inflammatory response is central in the development of COVID-19, we evaluated how those eleven intrinsic and extrinsic factors modulate those processes impacting clinical outcomes. Applying this AOP-aligned approach enables the identification of current knowledge gaps orientating for further research and allows to propose biomarkers to identify of high-risk patients. This approach also facilitates expertise synergy from different disciplines to address public health issues.
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Affiliation(s)
- Laure-Alix Clerbaux
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy; (S.C.); (E.P.D.); (N.P.); (M.P.); (B.L.)
| | | | - Núria Amigó
- Biosfer Teslab SL., 43204 Reus, Spain;
- Department of Basic Medical Sciences, Universitat Rovira i Virgili (URV), 23204 Reus, Spain
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Anna Beronius
- Institute of Environmental Medicine, Karolinska Institutet, 17177 Stockholm, Sweden;
| | - Gillina F. G. Bezemer
- Impact Station, 1223 JR Hilversum, The Netherlands;
- Department of Pharmaceutical Sciences, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, 3584 CG Utrecht, The Netherlands
| | - Sandra Coecke
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy; (S.C.); (E.P.D.); (N.P.); (M.P.); (B.L.)
| | - Evangelos P. Daskalopoulos
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy; (S.C.); (E.P.D.); (N.P.); (M.P.); (B.L.)
| | - Giusy del Giudice
- Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE), Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland; (G.d.G.); (D.G.); (L.A.S.)
| | - Dario Greco
- Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE), Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland; (G.d.G.); (D.G.); (L.A.S.)
| | - Lucia Grenga
- Département Médicaments et Technologies pour la Santé (DMTS), Université Paris-Saclay, CEA, INRAE, SPI, F-30200 Bagnols-sur-Ceze, France;
| | - Alberto Mantovani
- Department of Food Safety, Nutrition and Veterinary Public Health, Istituto Superiore di Sanità, 00161 Rome, Italy;
| | - Amalia Muñoz
- European Commission, Joint Research Centre (JRC), 2440 Geel, Belgium;
| | - Elma Omeragic
- Faculty of Pharmacy, University of Sarajevo, 71000 Sarajevo, Bosnia and Herzegovina;
| | - Nikolaos Parissis
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy; (S.C.); (E.P.D.); (N.P.); (M.P.); (B.L.)
| | - Mauro Petrillo
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy; (S.C.); (E.P.D.); (N.P.); (M.P.); (B.L.)
| | - Laura A. Saarimäki
- Finnish Hub for Development and Validation of Integrated Approaches (FHAIVE), Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland; (G.d.G.); (D.G.); (L.A.S.)
| | - Helena Soares
- Laboratory of Immunobiology and Pathogenesis, Chronic Diseases Research Centre, Faculdade de Ciências Médicas Medical School, University of Lisbon, 1649-004 Lisbon, Portugal;
| | - Kristie Sullivan
- Physicians Committee for Responsible Medicine, Washington, DC 20016, USA;
| | - Brigitte Landesmann
- European Commission, Joint Research Centre (JRC), 21027 Ispra, Italy; (S.C.); (E.P.D.); (N.P.); (M.P.); (B.L.)
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Barrantes FJ. The constellation of cholesterol-dependent processes associated with SARS-CoV-2 infection. Prog Lipid Res 2022; 87:101166. [PMID: 35513161 PMCID: PMC9059347 DOI: 10.1016/j.plipres.2022.101166] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2021] [Revised: 04/26/2022] [Accepted: 04/27/2022] [Indexed: 01/11/2023]
Abstract
The role of cholesterol in severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and other coronavirus-host cell interactions is currently being discussed in the context of two main scenarios: i) the presence of the neutral lipid in cholesterol-rich lipid domains involved in different steps of the viral infection and ii) the alteration of metabolic pathways by the virus over the course of infection. Cholesterol-enriched lipid domains have been reported to occur in the lipid envelope membrane of the virus, in the host-cell plasma membrane, as well as in endosomal and other intracellular membrane cellular compartments. These membrane subdomains, whose chemical and physical properties distinguish them from the bulk lipid bilayer, have been purported to participate in diverse phenomena, from virus-host cell fusion to intracellular trafficking and exit of the virions from the infected cell. SARS-CoV-2 recruits many key proteins that participate under physiological conditions in cholesterol and lipid metabolism in general. This review analyses the status of cholesterol and lipidome proteins in SARS-CoV-2 infection and the new horizons they open for therapeutic intervention.
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Affiliation(s)
- Francisco J. Barrantes
- Corresponding author at: BIOMED UCA-CONICET, Av. Alicia Moreau de Justo 1600, C1107AFF Buenos Aires, Argentina
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Taha EM, Mohialdeen Taha M, Al-Obaidy SK, Faris Hasan B, Rahim SM. Association between Atherogenic Index and Cholesterol to HDL Ratio in COVID-19 Patients During the Initial Phase of Infection. ARCHIVES OF RAZI INSTITUTE 2022; 77:1311-1318. [PMID: 36618288 PMCID: PMC9759214 DOI: 10.22092/ari.2022.357527.2057] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Accepted: 04/01/2022] [Indexed: 01/10/2023]
Abstract
This case-control study aimed to assess pathologic alteration in the serum levels of the atherogenic index, cholesterol to high-density lipoprotein (HDL) ratio, HDL cholesterol, total cholesterol, triglyceride, HbA1c, and glucose in 158 COVID-19 patients who were hospitalized in Erbil international hospital, Erbil, Iraq, between January and May 2020, in the early stage of infection. The patients were confirmed for SARS-CoV-2 on admission. The laboratory test results were compared between this group and a group of healthy individuals (n=158). A statistically significant difference was found between the studied factors in healthy controls and COVID-19 patients, except for low-density lipoprotein (LDL) cholesterol (P=0.13). In the case of COVID-19 patients, total levels of cholesterol and HDL cholesterol were significantly lower than controls (P<0.003). Triglyceride, VLDL cholesterol, atherogenic index, and total cholesterol to HDL ratio were found to be significantly higher in COVID-19 patients, compared to controls (P<0.005). Atherogenic index were found to be positively correlated with triglyceride (r=0.88, P=0.00), HbA1C (r=0.6, P=0.05), and glucose index (r= 0.62, P= 0.05), and the ratio of cholesterol to HDL (r=0.64, P=0.04). In contrast, no correlation was found between atherogenic index and cholesterol to HDL ratio in controls. The results of the current study indicated that risk factors for the cardiovascular disease increased in patients with COVID-19 infection, which included atherogenic index, cholesterol to HDL ratio, as well as the association between atherogenic index, and all were organized in one cluster. Therefore, lipids can perform a vital physiological function in patients infected with COVID-19.
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Affiliation(s)
- E. M Taha
- Department of Chemistry, College of Science for Women, University of Baghdad, Baghdad, Iraq
| | | | - S. K Al-Obaidy
- University of Baghdad, College of Agriculture, Baghdad, Iraq
| | - B Faris Hasan
- Department of Chemistry, College of Science for Women, University of Baghdad, Baghdad, Iraq
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Ashour L. Roles of the ACE/Ang II/AT1R pathway, cytokine release, and alteration of tight junctions in COVID-19 pathogenesis. Tissue Barriers 2022; 11:2090792. [PMID: 35726726 PMCID: PMC10161962 DOI: 10.1080/21688370.2022.2090792] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
This paper shows how SARS-CoV-2 alters tight junctions (TJs) in human organs. The effect of SARS-CoV-2 on the ACE/Ang II/AT1R pathway and immune cells culminates in the release of numerous pro-inflammatory mediators, leading to the presence of certain symptoms in COVID-19, such as acute lung injury (ALI), pulmonary hypertension, and pulmonary fibrosis. Furthermore, the cytokines released alter different TJs components. The study shows how the irregular release of pro-inflammatory cytokines leads to claudin disruption in various tissues of the body, resulting in different symptoms, such as alveolar fibrosis, pulmonary edema, conjunctivitis, altered fertility in males, gastrointestinal symptoms, Covid toes, and others. SARS-CoV-2 also alters occludin expression in the endothelial and blood-testis barriers (BTB) resulting in edema and altered fertility. Viral disruption of JAM-A leads to activation of the RhoA GTPase, which leads to ALI. Taken together, these results define ACE/Ang II/AT1R pathway receptors and tight junctional components as potential therapeutic targets in COVID-19.
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Affiliation(s)
- Laith Ashour
- Faculty of Medicine, Al-Balqa Applied University, Al-Salt, Jordan
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COŞKUN B, AYHAN M, SARICAOĞLU EM, GÜNER R, AKINCI E, BUZGAN T, KAYAASLAN B, AYPAK A, TEZER TEKÇE AY, HASANOĞLU İ, KAYA KALEM A, ESER F, AYBAR BİLİR Y, ÖZDEMİR B. The Evaluation of Relationship Between Monocyte/High-Density Lipoprotein Ratio (MHR) and COVID-19. KONURALP TIP DERGISI 2022. [DOI: 10.18521/ktd.1099432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Objective: Early diagnosis is important for severe diseases in COVID-19. Monocyte/high dansity lipoprotein ratio (MHR) is a new prognostic marker indicating inflammation. We aimed to investigate the relationship between MHR and diseases severity in COVID-19.
Materials and Methods: Patients with laboratory confirmed COVID-19, were retrospectively analyzed. Clinical symptoms, signs and laboratory data on the first day of hospitalization were obtained from medical records of hospital. The clinical data of 301 patients were included in study. Cases were diagnosed on the basis of interim guidance of World Health Organization (WHO). Patients were classified into two groups as non-severe COVID-19 and severe COVID-19. MHR were calculated with laboratory data on the first day of hospitalization. The relationship between MHR level and COVID-19 severity was evaluated. Statistical analysis of the data was performed by using SPSS 25 (SPSS Inc., Chicago, IL, USA) package program. Statistical significance level was accepted as p
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Affiliation(s)
| | | | | | - Rahmet GÜNER
- ANKARA YILDIRIM BEYAZIT ÜNİVERSİTESİ, TIP FAKÜLTESİ
| | | | | | | | - Adalet AYPAK
- Sağlık Bilimler Üniversitesi, Ankara Şehir Hastanesi
| | | | | | | | - Fatma ESER
- YILDIRIM BEYAZIT ÜNİVERSİTESİ, TIP FAKÜLTESİ
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Widyahening IS, Vidiawati D, Pakasi TA, Soewondo P, Ahsan A. Noncommunicable diseases risk factors and the risk of COVID-19 among university employees in Indonesia. PLoS One 2022; 17:e0263146. [PMID: 35666734 PMCID: PMC9170090 DOI: 10.1371/journal.pone.0263146] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 05/23/2022] [Indexed: 12/15/2022] Open
Abstract
Introduction Noncommunicable diseases (NCDs) are still a major public health problem in Indonesia. Studies have shown that risk factors of NCDs are associated with coronavirus disease 2019 (COVID-19) severity and mortality. However, it is unclear whether NCD risk factors are also risks for new COVID-19 cases. This study aimed to obtain an NCD risk profile among university employees and its associations with contracting COVID-19. Methods A cross-sectional study was conducted in October 2021. Participants were administrative employees of Universitas Indonesia (UI), Depok City, West Java. Assessment of NCD risk factors was based on the World Health Organization STEPwise approach to NCD risk factor surveillance (WHO STEPS). Demographic, working, and medical-history data were obtained electronically by using a Google Form. Physical and laboratory examinations were done in the Integrated Post for NCDs. Risks were expressed as adjusted odds ratio (ORadj) and 95% confidence interval (CI) in multivariate analyses. Results A total of 613 employees were enrolled. Men were predominant (54.8%), and about 36% of them work in shift as security personnel. About 66.7% were overweight or obese and 77.8% had hypertension. There were 138 (22.8%) employees who had COVID-19. Nearly all (95.6%) had been fully vaccinated against COVID-19. At-risk waist circumference (ORadj 1.72, 95% CI 1.15–2.56, p = 0.008) and total cholesterol level of 200–239 mg/dL (ORadj 2.30, 95% CI 1.19–4.44, p = 0.013) were independent risk factors, but shift work (ORadj 0.52, 95% CI 0.34–0.80, p = 0.003) was protective against COVID-19. Conclusion The prevalence of NCD risk factors among university administrative employees was high, increasing the risk of contracting COVID-19. A behavioral intervention program to manage NCD risk factors at the university level is urgently needed according to the Health Promoting University framework.
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Affiliation(s)
- Indah Suci Widyahening
- Department of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta Pusat, Indonesia
- Southeast Asian Ministers of Education Organization—Regional Centre for Food and Nutrition (SEAMEO-RECFON)—Pusat Kajian Gizi Regional (PKGR), Universitas Indonesia, Jakarta, Indonesia
- * E-mail:
| | - Dhanasari Vidiawati
- Department of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta Pusat, Indonesia
| | - Trevino A. Pakasi
- Department of Community Medicine, Faculty of Medicine, Universitas Indonesia, Jakarta Pusat, Indonesia
| | - Pradana Soewondo
- Department of Internal Medicine, Faculty of Medicine, Universitas Indonesia–Cipto Mangunkusumo Hospital, Jakarta Pusat, Indonesia
| | - Abdillah Ahsan
- Department of Economics, Faculty of Economics and Business, Universitas Indonesia, Depok, Indonesia
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Trovato FM, Mujib S, Jerome E, Cavazza A, Morgan P, Smith J, Depante MT, O'Reilly K, Luxton J, Mare T, Napoli S, McPhail MJ. Immunometabolic analysis shows a distinct cyto-metabotype in Covid-19 compared to sepsis from other causes. Heliyon 2022; 8:e09733. [PMID: 35774516 PMCID: PMC9225950 DOI: 10.1016/j.heliyon.2022.e09733] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2021] [Revised: 03/28/2022] [Accepted: 06/10/2022] [Indexed: 12/15/2022] Open
Abstract
Background In Covid-19, profound systemic inflammatory responses are accompanied by both metabolic risk factors for severity and, separately, metabolic mechanisms have been shown to underly disease progression. It is unknown whether this reflects similar situations in sepsis or is a unique characteristic of Covid-19. Aims Define the immunometabolic signature of Covid-19. Methods 65 patients with Covid-19,19 patients with sepsis and 14 healthy controls were recruited and sampled for plasma, serum and peripheral blood mononuclear cells (PBMCs) through 10 days of critical illness. Metabotyping was performed using the Biocrates p180 kit and multiplex cytokine profiling undertaken. PBMCs underwent phenotyping by flow cytometry. Immune and metabolic readouts were integrated and underwent pathway analysis. Results Phopsphatidylcholines (PC) are reduced in Covid-19 but greater than in sepsis. Compared to controls, tryptophan is reduced in Covid-19 and inversely correlated with the severity of the disease and IFN-ɣ concentrations, conversely the kyneurine and kyneurine/tryptophan ratio increased in the most severe cases. These metabolic changes were consistent through 2 pandemic waves in our centre. PD-L1 expression in CD8+ T cells, Tregs and CD14+ monocytes was increased in Covid-19 compared to controls. Conclusions In our cohort, Covid-19 is associated with monocytopenia, increased CD14+ and Treg PD-L1 expression correlating with IFN-ɣ plasma concentration and disease severity (SOFA score). The latter is also associated with metabolic derangements of Tryptophan, LPC 16:0 and PCs. Lipid metabolism, in particular phosphatidylcholines and lysophosphatidylcolines, seems strictly linked to immune response in Covid-19. Our results support the hypothesis that IFN-ɣ -PD-L1 axis might be involved in the cytokine release syndrome typical of severe Covid-19 and the phenomenon persisted through multiple pandemic waves despite use of immunomodulation.
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Affiliation(s)
- Francesca M Trovato
- Institute of Liver Studies, King's College Hospital, London, United Kingdom.,Department of Inflammation BIology, School of Immunology & Microbial Sciences, Faculty of Life Sciences and Medicine, Kings College London, United Kingdom
| | - Salma Mujib
- Institute of Liver Studies, King's College Hospital, London, United Kingdom
| | - Ellen Jerome
- Institute of Liver Studies, King's College Hospital, London, United Kingdom.,Department of Inflammation BIology, School of Immunology & Microbial Sciences, Faculty of Life Sciences and Medicine, Kings College London, United Kingdom
| | - Anna Cavazza
- Institute of Liver Studies, King's College Hospital, London, United Kingdom.,Department of Inflammation BIology, School of Immunology & Microbial Sciences, Faculty of Life Sciences and Medicine, Kings College London, United Kingdom
| | - Phillip Morgan
- Institute of Liver Studies, King's College Hospital, London, United Kingdom
| | - John Smith
- Anaesthetics, Critical Care, Emergency and Trauma Research Delivery Unit, Kings College Hospital, London, United Kingdom
| | - Maria Theresa Depante
- Anaesthetics, Critical Care, Emergency and Trauma Research Delivery Unit, Kings College Hospital, London, United Kingdom
| | - Kevin O'Reilly
- Anaesthetics, Critical Care, Emergency and Trauma Research Delivery Unit, Kings College Hospital, London, United Kingdom
| | - James Luxton
- Contract R&D Department (Viapath), Kings College Hospital, London, United Kingdom
| | - Tracey Mare
- Contract R&D Department (Viapath), Kings College Hospital, London, United Kingdom
| | - Salvatore Napoli
- Institute of Liver Studies, King's College Hospital, London, United Kingdom
| | - Mark Jw McPhail
- Institute of Liver Studies, King's College Hospital, London, United Kingdom.,Department of Inflammation BIology, School of Immunology & Microbial Sciences, Faculty of Life Sciences and Medicine, Kings College London, United Kingdom
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Liu P, Hu D, Yuan L, Lian Z, Yao X, Zhu Z, Li X. Metabolomics Analysis of PK-15 Cells with Pseudorabies Virus Infection Based on UHPLC-QE-MS. Viruses 2022; 14:v14061158. [PMID: 35746630 PMCID: PMC9229976 DOI: 10.3390/v14061158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 05/22/2022] [Accepted: 05/25/2022] [Indexed: 12/02/2022] Open
Abstract
Viruses depend on the metabolic mechanisms of the host to support viral replication. We utilize an approach based on ultra-high-performance liquid chromatography/Q Exactive HF-X Hybrid Quadrupole-Orbitrap Mass (UHPLC-QE-MS) to analyze the metabolic changes in PK-15 cells induced by the infections of the pseudorabies virus (PRV) variant strain and Bartha K61 strain. Infections with PRV markedly changed lots of metabolites, when compared to the uninfected cell group. Additionally, most of the differentially expressed metabolites belonged to glycerophospholipid metabolism, sphingolipid metabolism, purine metabolism, and pyrimidine metabolism. Lipid metabolites account for the highest proportion (around 35%). The results suggest that those alterations may be in favor of virion formation and genome amplification to promote PRV replication. Different PRV strains showed similar results. An understanding of PRV-induced metabolic reprogramming will provide valuable information for further studies on PRV pathogenesis and the development of antiviral therapy strategies.
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Affiliation(s)
- Panrao Liu
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (P.L.); (D.H.); (L.Y.); (Z.L.); (X.Y.); (Z.Z.)
| | - Danhe Hu
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (P.L.); (D.H.); (L.Y.); (Z.L.); (X.Y.); (Z.Z.)
| | - Lili Yuan
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (P.L.); (D.H.); (L.Y.); (Z.L.); (X.Y.); (Z.Z.)
| | - Zhengmin Lian
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (P.L.); (D.H.); (L.Y.); (Z.L.); (X.Y.); (Z.Z.)
| | - Xiaohui Yao
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (P.L.); (D.H.); (L.Y.); (Z.L.); (X.Y.); (Z.Z.)
| | - Zhenbang Zhu
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (P.L.); (D.H.); (L.Y.); (Z.L.); (X.Y.); (Z.Z.)
| | - Xiangdong Li
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, College of Veterinary Medicine, Yangzhou University, Yangzhou 225009, China; (P.L.); (D.H.); (L.Y.); (Z.L.); (X.Y.); (Z.Z.)
- Joint International Research Laboratory of Agriculture and Agri-Product Safety, The Ministry of Education of China, Yangzhou University, Yangzhou 225009, China
- Correspondence: ; Tel.: +86-514-8797-9036
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Haskologlu IC, Erdag E, Sayiner S, Abacioglu N, Sehirli AO. Melatonin and REGN-CoV2 combination as a vaccine adjuvant for Omicron variant of SARS-CoV-2. Mol Biol Rep 2022; 49:4061-4068. [PMID: 35389130 PMCID: PMC8986966 DOI: 10.1007/s11033-022-07419-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2022] [Accepted: 03/23/2022] [Indexed: 11/26/2022]
Abstract
The omicron variant (B.529) of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), which emerged in late 2021, caused panic worldwide due to its contagiousness and multiple mutations in the spike protein compared to the Delta variant (B.617.2). There is currently no specific antiviral available to treat Coronavirus disease 2019 (COVID-19). However, studies on neutralizing monoclonal antibodies (mAb) developed to fight COVID-19 are growing and gaining traction. REGN-COV2 (Regeneron or imdevimab-casirivimab combination), which has been shown in recent studies to be less affected by Omicron's RBD (receptor binding domain) mutations among other mAb cocktails, plays an important role in adjuvant therapy against COVID-19. On the other hand, it is known that melatonin, which has antioxidant and immunomodulatory effects, can prevent a possible cytokine storm, and other severe symptoms that may develop in the event of viral invasion. Along with all these findings, we believe it is crucial to evaluate the use of melatonin with REGN-COV2, a cocktail of mAbs, as an adjuvant in the treatment and prevention of COVID-19, particularly in immunocompromised and elderly patients.
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Affiliation(s)
| | - Emine Erdag
- Faculty of Pharmacy, Department of Pharmaceutical Chemistry, Near East University, Nicosia, Cyprus
| | - Serkan Sayiner
- Faculty of Veterinary Medicine, Department of Biochemistry, Near East University, Nicosia, Cyprus
- Diagnostic Laboratory, Animal Hospital, Near East University, Nicosia, Cyprus
| | - Nurettin Abacioglu
- Faculty of Pharmacy, Department of Pharmacology, Near East University, Nicosia, Cyprus
| | - Ahmet Ozer Sehirli
- Faculty of Dentistry, Department of Pharmacology, Near East University, Nicosia, Cyprus
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Dai J, Wang H, Liao Y, Tan L, Sun Y, Song C, Liu W, Qiu X, Ding C. Coronavirus Infection and Cholesterol Metabolism. Front Immunol 2022; 13:791267. [PMID: 35529872 PMCID: PMC9069556 DOI: 10.3389/fimmu.2022.791267] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Accepted: 03/21/2022] [Indexed: 12/19/2022] Open
Abstract
Host cholesterol metabolism remodeling is significantly associated with the spread of human pathogenic coronaviruses, suggesting virus-host relationships could be affected by cholesterol-modifying drugs. Cholesterol has an important role in coronavirus entry, membrane fusion, and pathological syncytia formation, therefore cholesterol metabolic mechanisms may be promising drug targets for coronavirus infections. Moreover, cholesterol and its metabolizing enzymes or corresponding natural products exert antiviral effects which are closely associated with individual viral steps during coronavirus replication. Furthermore, the coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 infections are associated with clinically significant low cholesterol levels, suggesting cholesterol could function as a potential marker for monitoring viral infection status. Therefore, weaponizing cholesterol dysregulation against viral infection could be an effective antiviral strategy. In this review, we comprehensively review the literature to clarify how coronaviruses exploit host cholesterol metabolism to accommodate viral replication requirements and interfere with host immune responses. We also focus on targeting cholesterol homeostasis to interfere with critical steps during coronavirus infection.
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Affiliation(s)
- Jun Dai
- College of Animal Science and Technology, Guangxi University, Nanning, China
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
- Experimental Animal Center, Zunyi Medical University, Zunyi City, China
| | - Huan Wang
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Ying Liao
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Lei Tan
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Yingjie Sun
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Cuiping Song
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Weiwei Liu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
| | - Xusheng Qiu
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
- *Correspondence: Xusheng Qiu, ; Chan Ding,
| | - Chan Ding
- Shanghai Veterinary Research Institute, Chinese Academy of Agricultural Sciences, Shanghai, China
- Jiangsu Co-Innovation Center for Prevention and Control of Important Animal Infectious Diseases and Zoonoses, Yangzhou University, Yangzhou, China
- *Correspondence: Xusheng Qiu, ; Chan Ding,
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Marmitt DJ. Potential plants for inflammatory dysfunction in the SARS-CoV-2 infection. Inflammopharmacology 2022; 30:749-773. [PMID: 35389124 PMCID: PMC8987270 DOI: 10.1007/s10787-022-00981-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 03/21/2022] [Indexed: 11/24/2022]
Abstract
The inflammatory process is a biological response of the organism to remove injurious stimuli and initiate homeostasis. It has been recognized as a key player in the most severe forms of SARS-CoV-2, characterized by significantly increased pro-inflammatory cytokine levels, the so-called "cytokine storm" that appears to play a pivotal role in this disease. Therefore, the aim of this systematic review was to select clinical trials with anti-inflammatory plants and relate the activity of these plants to inflammatory markers of SARS-CoV-2 infection. PRISMA guidelines are followed, and studies of interest are indexed in PubMed and ClinicalTrials.gov databases. As a result, 32 clinical trials encompassing 22 plants were selected. The main anti-inflammatory mechanisms described in the studies are the inhibition of inflammatory cytokines, such as IL-6, TNF-a, IFN-γ, and IL-1; decreased CRP and oxidative marker levels; increased endogenous antioxidant levels; modulation of cardiovascular risk markers. The data found are not directly related to SARS-CoV-2 infection. However, they provide possibilities for new studies as plants have a wide array of phytochemicals, and detecting which ones are responsible for anti-inflammatory effects can provide invaluable contribution to studies aiming to evaluate efficacy in scenarios of SARS-CoV-2 infection.
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Affiliation(s)
- Diorge Jônatas Marmitt
- Programa de Pós-Graduação em Biotecnologia, Universidade Do Vale Do Taquari - Univates, Avelino Talini Street, 171, Lajeado, RS, 95914-014, Brazil.
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Shi Q, Chen J, Zou X, Tang X. Intracellular Cholesterol Synthesis and Transport. Front Cell Dev Biol 2022; 10:819281. [PMID: 35386193 PMCID: PMC8978673 DOI: 10.3389/fcell.2022.819281] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2021] [Accepted: 02/01/2022] [Indexed: 12/18/2022] Open
Abstract
Cholesterol homeostasis is related to multiple diseases in humans, including cardiovascular disease, cancer, and neurodegenerative and hepatic diseases. The cholesterol levels in cells are balanced dynamically by uptake, biosynthesis, transport, distribution, esterification, and export. In this review, we focus on de novo cholesterol synthesis, cholesterol synthesis regulation, and intracellular cholesterol trafficking. In addition, the progression of lipid transfer proteins (LTPs) at multiple contact sites between organelles is considered.
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Affiliation(s)
- Qingyang Shi
- Center of Reproductive Medicine and Center of Prenatal Diagnosis, The First Hospital, Jilin University, Changchun, China
| | - Jiahuan Chen
- Jilin Provincial Key Laboratory of Animal Embryo Engineering, College of Animal Sciences, Jilin University, Changchun, China
| | - Xiaodong Zou
- Jilin Provincial Key Laboratory of Animal Embryo Engineering, College of Animal Sciences, Jilin University, Changchun, China
| | - Xiaochun Tang
- Jilin Provincial Key Laboratory of Animal Embryo Engineering, College of Animal Sciences, Jilin University, Changchun, China
- Chongqing Research Institute of Jilin University, Chongqing, China
- *Correspondence: Xiaochun Tang,
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Rezaei A, Neshat S, Heshmat-Ghahdarijani K. Alterations of Lipid Profile in COVID-19: A Narrative Review. Curr Probl Cardiol 2022; 47:100907. [PMID: 34272088 PMCID: PMC8161768 DOI: 10.1016/j.cpcardiol.2021.100907] [Citation(s) in RCA: 27] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2021] [Accepted: 05/20/2021] [Indexed: 02/08/2023]
Abstract
The COVID-19 pandemic has led to over 100 million infections and over 3 million deaths worldwide. Understanding its pathogenesis is crucial to guide prognostic and therapeutic implications. Viral infections are known to alter the lipid profile and metabolism of their host cells, similar to the case with MERS and SARS-CoV-2002. Since lipids play various metabolic roles, studying lipid profile alterations in COVID-19 is an inevitable step as an attempt to achieve better therapeutic strategies, as well as a potential prognostic factor in the course of this disease. Several studies have reported changes in lipid profile associated with COVID-19. The most frequently reported changes are a decline in serum cholesterol and ApoA1 levels and elevated triglycerides. The hyper-inflammatory state mediated by the Cytokine storm disturbs several fundamental lipid biosynthesis pathways. Virus replication is a process that drastically changes the host cell's lipid metabolism program and overuses cell lipid resources. Lower HDL-C and ApoA1 levels are associated with higher severity and mortality rates and with higher levels of inflammatory markers. Studies suggest that arachidonic acid omega-3 derivatives might help modulate hyper-inflammation and cytokine storm resulting from pulmonary involvement. Also, statins have been shown to be beneficial when administered after COVID-19 diagnosis via unclear mechanisms probably associated with anti-inflammatory effects and HDL-C rising effects.
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Affiliation(s)
- Abbas Rezaei
- Department of Internal Medicine, Bushehr University of Medical Sciences, Bushehr, Iran
| | - Sina Neshat
- Department of Internal Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
| | - Kiyan Heshmat-Ghahdarijani
- Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran,Corresponding author: Kiyan Heshmat-Ghahdarijani,MD, Heart Failure Research Center, Cardiovascular Research Institute, Isfahan University of Medical Sciences, Isfahan, Iran Tel: + 98 (31)36680048 Fax: +98 (31)3912862
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48
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Abstract
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is a novel coronavirus that causes coronavirus disease 2019 (COVID-19). However, the long-term health consequences of COVID-19 are not fully understood. We aimed to determine the long-term lung pathology and blood chemistry changes in Syrian hamsters infected with SARS-CoV-2. Syrian hamsters (Mesocricetus auratus) were inoculated with 105 PFU of SARS-CoV-2, and changes post-infection (pi) were observed for 20 days. On days 5 and 20 pi, the lungs were harvested and processed for pathology and viral load count. Multiple blood samples were collected every 3 to 5 days to observe dynamic changes in blood chemistry. Infected hamsters showed consistent weight loss until day 7 pi At day 5 pi, histopathology of the lungs showed moderate to severe inflammation and the virus could be detected. These results indicate that SARS-CoV-2 has an acute onset and recovery course in the hamster infection model. During the acute onset, blood triglyceride levels increased significantly at day 3 pi During the recovery course, uric acid and low-density lipoprotein levels increased significantly, but the total protein and albumin levels decreased. Together, our study suggests that SARS-CoV-2 infection in hamsters not only causes lung damage but also causes long-term changes in blood biochemistry during the recovery process. IMPORTANCE COVID-19 is now considered a multiorgan disease with a wide range of manifestations. There are increasing reports of persistent and long-term effects after acute COVID-19, but the long-term health consequences of COVID-19 are not fully understood. This study reported for the first time the use of blood samples collected continuously in a SARS-CoV-2-infected hamster model, which provides more information about the dynamic changes in blood biochemistry during the acute and recovery phases of SARS-CoV-2 infection. Our study suggests that SARS-CoV-2 infection in hamsters not only causes lung damage but also causes long-term changes in blood biochemistry during the recovery process. The study may be used by several researchers and clinicians, especially those who are studying potential treatments for patients with post-acute COVID-19 syndrome.
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Costanzo M, Caterino M, Fedele R, Cevenini A, Pontillo M, Barra L, Ruoppolo M. COVIDomics: The Proteomic and Metabolomic Signatures of COVID-19. Int J Mol Sci 2022; 23:ijms23052414. [PMID: 35269564 PMCID: PMC8910221 DOI: 10.3390/ijms23052414] [Citation(s) in RCA: 46] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/19/2022] [Revised: 02/04/2022] [Accepted: 02/18/2022] [Indexed: 02/06/2023] Open
Abstract
Omics-based technologies have been largely adopted during this unprecedented global COVID-19 pandemic, allowing the scientific community to perform research on a large scale to understand the pathobiology of the SARS-CoV-2 infection and its replication into human cells. The application of omics techniques has been addressed to every level of application, from the detection of mutations, methods of diagnosis or monitoring, drug target discovery, and vaccine generation, to the basic definition of the pathophysiological processes and the biochemical mechanisms behind the infection and spread of SARS-CoV-2. Thus, the term COVIDomics wants to include those efforts provided by omics-scale investigations with application to the current COVID-19 research. This review summarizes the diverse pieces of knowledge acquired with the application of COVIDomics techniques, with the main focus on proteomics and metabolomics studies, in order to capture a common signature in terms of proteins, metabolites, and pathways dysregulated in COVID-19 disease. Exploring the multiomics perspective and the concurrent data integration may provide new suitable therapeutic solutions to combat the COVID-19 pandemic.
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Affiliation(s)
- Michele Costanzo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.C.); (M.C.); (A.C.)
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
| | - Marianna Caterino
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.C.); (M.C.); (A.C.)
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
| | - Roberta Fedele
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
| | - Armando Cevenini
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.C.); (M.C.); (A.C.)
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
| | - Mariarca Pontillo
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
| | - Lucia Barra
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
| | - Margherita Ruoppolo
- Department of Molecular Medicine and Medical Biotechnology, University of Naples Federico II, 80131 Naples, Italy; (M.C.); (M.C.); (A.C.)
- CEINGE–Biotecnologie Avanzate s.c.ar.l., 80145 Naples, Italy; (R.F.); (M.P.); (L.B.)
- Correspondence:
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The “Invisible Enemy” SARS-CoV-2: Viral Spread and Drug Treatment. Medicina (B Aires) 2022; 58:medicina58020261. [PMID: 35208584 PMCID: PMC8875987 DOI: 10.3390/medicina58020261] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/05/2022] [Accepted: 02/07/2022] [Indexed: 12/15/2022] Open
Abstract
Nowadays, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has become the main subject of the scientific medical world and all World Organizations, causing millions of deaths worldwide. In this review, we have highlighted the context of the Coronavirus disease 2019 (COVID-19) pandemic, how the virus spreads, the symptoms and complications that may occur, and, especially, the drug treatment of viral infection, with emphasis on monoclonal antibodies. While well-known strains such as Alpha, Beta, Gamma, and, especially, Delta have shown an accelerated transmission among the population, the new Omicron variant (discovered on 24 November 2021) indicates more significant infectiousness and the poor efficacy of monoclonal antibody therapy due to mutations on the spike protein receptor-binding domain. With these discoveries, the experiments began, the first being in silico and in vitro, but these are not enough, and in vivo experiments are needed to see exactly the cause of neutralization of the action of these drugs. Following the documentation of the latest medical and scientific research, it has been concluded that there are many chemical molecules that have the potential to treat SARS-CoV-2 infection, but more detailed clinical trials are needed for their use in therapy. In addition, it is important to consider the structure of the viral strain in the administration of treatment.
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