19
views
0
recommends
+1 Recommend
1 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Association of Circulating Sex Hormones With Inflammation and Disease Severity in Patients With COVID-19

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          This cohort study investigates the association of sex hormones with disease severity and inflammatory cytokines in patients with COVID-19.

          Key Points

          Question

          Are circulating sex hormones associated with disease severity in patients with COVID-19?

          Findings

          In a cohort study of 152 patients with COVID-19, including 143 patients who were hospitalized, testosterone concentrations at presentation and on day 3 were inversely associated with disease severity and circulating inflammatory cytokine concentrations in men but not in women. Transcriptional profiling of circulating mononuclear cells revealed upregulation of hormone signaling pathways in patients requiring intensive care vs those with milder disease.

          Meaning

          These findings suggest that low testosterone concentrations may play a mechanistic role in worse outcomes observed in men with COVID-19, underscoring the need for clinical trials to test this hypothesis.

          Abstract

          Importance

          Male sex is a risk factor for developing severe COVID-19 illness. It is not known whether sex hormones contribute to this predisposition.

          Objective

          To investigate the association of concentrations of serum testosterone, estradiol, and insulinlike growth factor 1 (IGF-1, concentrations of which are regulated by sex hormone signaling) with COVID-19 severity.

          Design, Setting, and Participants

          This prospective cohort study was conducted using serum samples collected from consecutive patients who presented from March through May 2020 to the Barnes Jewish Hospital in St Louis, Missouri, with COVID-19 (diagnosed using nasopharyngeal swabs).

          Exposures

          Testosterone, estradiol, and IGF-1 concentrations were measured at the time of presentation (ie, day 0) and at days 3, 7, 14, and 28 after admission (if the patient remained hospitalized).

          Main Outcomes and Measures

          Baseline hormone concentrations were compared among patients who had severe COVID-19 vs those with milder COVID-19 illness. RNA sequencing was performed on circulating mononuclear cells to understand the mechanistic association of altered circulating hormone concentrations with cellular signaling pathways.

          Results

          Among 152 patients (90 [59.2%] men; 62 [40.8%] women; mean [SD] age, 63 [16] years), 143 patients (94.1%) were hospitalized. Among 66 men with severe COVID-19, median [interquartile range] testosterone concentrations were lower at day 0 (53 [18 to 114] ng/dL vs 151 [95 to 217] ng/dL; P = .01) and day 3 (19 [6 to 68] ng/dL vs 111 [49 to 274] ng/dL; P = .006) compared with 24 men with milder disease. Testosterone concentrations were inversely associated with concentrations of interleukin 6 (β = −0.43; 95% CI, −0.52 to −0.17; P < .001), C-reactive protein (β = −0.38; 95% CI, −0.78 to −0.16; P = .004), interleukin 1 receptor antagonist (β = −0.29; 95% CI, −0.64 to −0.06; P = .02), hepatocyte growth factor (β = −0.46; 95% CI, −0.69 to −0.25; P < .001), and interferon γ–inducible protein 10 (β = −0.32; 95% CI, −0.62 to −0.10; P = .007). Estradiol and IGF-1 concentrations were not associated with COVID-19 severity in men. Testosterone, estradiol, and IGF-1 concentrations were similar in women with and without severe COVID-19. Gene set enrichment analysis revealed upregulated hormone signaling pathways in CD14 +CD16 (ie, classical) monocytes and CD14 CD16 + (ie, nonclassical) monocytes in male patients with COVID-19 who needed intensive care unit treatment vs those who did not.

          Conclusions and Relevance

          In this single-center cohort study of patients with COVID-19, lower testosterone concentrations during hospitalization were associated with increased disease severity and inflammation in men. Hormone signaling pathways in monocytes did not parallel serum hormone concentrations, and further investigation is required to understand their pathophysiologic association with COVID-19.

          Related collections

          Most cited references52

          • Record: found
          • Abstract: found
          • Article: not found

          SARS-CoV-2 Cell Entry Depends on ACE2 and TMPRSS2 and Is Blocked by a Clinically Proven Protease Inhibitor

          Summary The recent emergence of the novel, pathogenic SARS-coronavirus 2 (SARS-CoV-2) in China and its rapid national and international spread pose a global health emergency. Cell entry of coronaviruses depends on binding of the viral spike (S) proteins to cellular receptors and on S protein priming by host cell proteases. Unravelling which cellular factors are used by SARS-CoV-2 for entry might provide insights into viral transmission and reveal therapeutic targets. Here, we demonstrate that SARS-CoV-2 uses the SARS-CoV receptor ACE2 for entry and the serine protease TMPRSS2 for S protein priming. A TMPRSS2 inhibitor approved for clinical use blocked entry and might constitute a treatment option. Finally, we show that the sera from convalescent SARS patients cross-neutralized SARS-2-S-driven entry. Our results reveal important commonalities between SARS-CoV-2 and SARS-CoV infection and identify a potential target for antiviral intervention.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation

            The objective of this study was to develop a prospectively applicable method for classifying comorbid conditions which might alter the risk of mortality for use in longitudinal studies. A weighted index that takes into account the number and the seriousness of comorbid disease was developed in a cohort of 559 medical patients. The 1-yr mortality rates for the different scores were: "0", 12% (181); "1-2", 26% (225); "3-4", 52% (71); and "greater than or equal to 5", 85% (82). The index was tested for its ability to predict risk of death from comorbid disease in the second cohort of 685 patients during a 10-yr follow-up. The percent of patients who died of comorbid disease for the different scores were: "0", 8% (588); "1", 25% (54); "2", 48% (25); "greater than or equal to 3", 59% (18). With each increased level of the comorbidity index, there were stepwise increases in the cumulative mortality attributable to comorbid disease (log rank chi 2 = 165; p less than 0.0001). In this longer follow-up, age was also a predictor of mortality (p less than 0.001). The new index performed similarly to a previous system devised by Kaplan and Feinstein. The method of classifying comorbidity provides a simple, readily applicable and valid method of estimating risk of death from comorbid disease for use in longitudinal studies. Further work in larger populations is still required to refine the approach because the number of patients with any given condition in this study was relatively small.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Structure of the SARS-CoV-2 spike receptor-binding domain bound to the ACE2 receptor

              A new and highly pathogenic coronavirus (severe acute respiratory syndrome coronavirus-2, SARS-CoV-2) caused an outbreak in Wuhan city, Hubei province, China, starting from December 2019 that quickly spread nationwide and to other countries around the world1-3. Here, to better understand the initial step of infection at an atomic level, we determined the crystal structure of the receptor-binding domain (RBD) of the spike protein of SARS-CoV-2 bound to the cell receptor ACE2. The overall ACE2-binding mode of the SARS-CoV-2 RBD is nearly identical to that of the SARS-CoV RBD, which also uses ACE2 as the cell receptor4. Structural analysis identified residues in the SARS-CoV-2 RBD that are essential for ACE2 binding, the majority of which either are highly conserved or share similar side chain properties with those in the SARS-CoV RBD. Such similarity in structure and sequence strongly indicate convergent evolution between the SARS-CoV-2 and SARS-CoV RBDs for improved binding to ACE2, although SARS-CoV-2 does not cluster within SARS and SARS-related coronaviruses1-3,5. The epitopes of two SARS-CoV antibodies that target the RBD are also analysed for binding to the SARS-CoV-2 RBD, providing insights into the future identification of cross-reactive antibodies.
                Bookmark

                Author and article information

                Journal
                JAMA Netw Open
                JAMA Netw Open
                JAMA Netw Open
                JAMA Network Open
                American Medical Association
                2574-3805
                25 May 2021
                May 2021
                25 May 2021
                : 4
                : 5
                : e2111398
                Affiliations
                [1 ]Division of Endocrinology, Diabetes and Metabolism, St Louis University School of Medicine, St Louis, Missouri
                [2 ]Department of Pathology and Immunology, Washington University School of Medicine in St Louis, Missouri
                [3 ]Endocrine Division, Quest Diagnostics Nichols Institute, San Juan Capistrano, California
                [4 ]LC-MS Core Lab, Quest Diagnostics Nichols Institute, Valencia, California
                [5 ]Cardiovascular Division, Washington University School of Medicine in St Louis, Missouri
                [6 ]Center for Cardiovascular Research, Department of Medicine, Washington University School of Medicine in St Louis, Missouri
                [7 ]John Cochran Veterans Hospital, St Louis, Missouri
                [8 ]Center for Pharmacogenomics, Department of Medicine, Washington University School of Medicine in St Louis, Missouri
                [9 ]Department of Emergency Medicine, Washington University School of Medicine in St Louis, Missouri
                [10 ]Department of Cell Biology and Physiology, Washington University School of Medicine in St Louis, Missouri
                [11 ]Department of Obstetrics and Gynecology, Washington University School of Medicine in St Louis, Missouri
                Author notes
                Article Information
                Accepted for Publication: March 31, 2021.
                Published: May 25, 2021. doi:10.1001/jamanetworkopen.2021.11398
                Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Dhindsa S et al. JAMA Network Open.
                Corresponding Authors: Sandeep Dhindsa, MD, Division of Endocrinology, Diabetes and Metabolism, St Louis University School of Medicine, SLUCare Academic Pavilion, 1008 S Spring St, Second Floor, Room 2525, St Louis, MO 63110 ( sandeep.dhindsa@ 123456health.slu.edu ); Abhinav Diwan, MD, Center for Cardiovascular Research, Department of Medicine, Washington University School of Medicine in St Louis, 660 S Euclid Ave, CSRB 827, St Louis, MO 63110 ( adiwan@ 123456wustl.edu ).
                Author Contributions: Drs Dhindsa and Diwan had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.
                Concept and design: Dhindsa, Wu, Mani, Randolph, Mudd, Diwan.
                Acquisition, analysis, or interpretation of data: All authors.
                Drafting of the manuscript: Dhindsa, Zhang, Wu, Ghoshal, Edwards, Diwan.
                Critical revision of the manuscript for important intellectual content: Dhindsa, McPhaul, Ghoshal, Erlich, Mani, Randolph, Mudd, Diwan.
                Statistical analysis: Dhindsa, Edwards.
                Obtained funding: Randolph, Mudd, Diwan.
                Administrative, technical, or material support: Zhang, McPhaul, Wu, Ghoshal, Erlich, Mani, Mudd.
                Supervision: Randolph, Diwan.
                Conflict of Interest Disclosures: Dr Diwan reported receiving consulting fees from ERT. Dr Dhindsa reporting receiving consulting fees from Bayer, Clarus Therapeutics, and Acerus Pharmaceuticals. Dr McPhaul reported serving as a full-time employee for Quest Diagnostics during the conduct of the study. Dr Ghoshal reported receiving stock options and restricted shares from Quest Diagnostics. Dr Erlich reported receiving a grant from the National Institute of Diabetes and Digestive and Kidney Diseases during the conduct of the study. Dr Mani reported receiving grants from the Washington University School of Medicine in St Louis Diabetes Research Center and John Cochran Veterans Hospital and serving as an employee of the Department of Veterans Affairs outside the submitted work. Dr Mudd reported receiving grants from the Foundation for Barnes-Jewish Hospital and Washington University in St Louis Institute of Clinical and Translational Science during the conduct of the study. No other disclosures were reported.
                Funding/Support: This study used samples obtained from the Washington University School of Medicine in St Louis COVID-19 biorepository, which is supported by the Foundation for Barnes-Jewish Hospital, Siteman Cancer Center grant P30 CA091842 from the National Cancer Institute of the National Institutes of Health (NIH), and Washington University in St Louis Institute of Clinical and Translational Sciences grant UL1TR002345 from the National Center for Advancing Translational Sciences of the NIH. Dr Mudd was supported by a grant from the Foundation for Barnes-Jewish Hospital to facilitate data collection from the WU350 cohort, which supported these studies. Dr Randolph was supported by grant R37 AI049653 from the NIH. Dr Mani was supported by grant P30 DK020579 from the NIH. Dr Diwan was supported by grants HL107594 and HL143431 from the NIH.
                Role of the Funder/Sponsor: The funders had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
                Disclaimer: The content is solely the responsibility of the authors and does not necessarily represent the view of the NIH.
                Additional Contributions: Jane O’Halloran, MD, PhD; Charles Goss, PhD; and Adriana Rauseo Acevedo, MD, from the Washington University School of Medicine in St Louis developed and maintained the biorepository and provided assistance with data collection. Jennifer Boring (Quest Diagnostics) and Katherine Kyle (Washington University School of Medicine in St Louis) provided assistance in in cataloging and shipping of samples. The individuals acknowledged did not receive compensation specifically for their assistance with the study.
                Article
                zoi210335
                10.1001/jamanetworkopen.2021.11398
                8150664
                34032853
                e8a1779d-d95d-479d-b8cf-1ab2a187d237
                Copyright 2021 Dhindsa S et al. JAMA Network Open.

                This is an open access article distributed under the terms of the CC-BY License.

                History
                : 19 January 2021
                : 31 March 2021
                Categories
                Research
                Original Investigation
                Online Only
                Diabetes and Endocrinology

                Comments

                Comment on this article