Literature DB >> 33450625

Host genomics of COVID-19: Evidence point towards Alpha 1 antitrypsin deficiency as a putative risk factor for higher mortality rate.

Atanu Kumar Dutta1, Kalyan Goswami2.   

Abstract

Corona Virus Disease 2019 (COVID-19) has emerged as a pandemic leading to unprecedented disruption of global health and economy. Transmembrane protease serine 2 (TMPRSS2) has been found to be critical in priming the viral spike protein and the host ACE2 receptor before the virus enters into the host cell. Recent studies have experimentally demonstrated that Alpha 1 antitrypsin (encoded by SERPINA1 gene) is an inhibitor of TMPRSS2 and provided support to the already approved therapy as a candidate for COVID-19. Interestingly Alpha 1 antitrypsin deficiency is common among Europeans. Here we have provided in silico evidence that Alpha 1 antitrypsin can interact with TMPRSS2 and both of them are co-expressed in the human liver and lung. We then analyzed the gnomAD dataset to show that Europeans and Latinos have a substantially higher carrier frequency of Alpha 1 Antitrypsin Deficiency (~12%) compared to other large ethnicities. Therefore, we hypothesize that Alpha 1 antitrypsin deficiency might be a risk factor for severe infection with SARS-CoV-2. We propose Alpha 1 antitrypsin status as a potential prognostic predictor of COVID-19 outcome.
Copyright © 2021 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Alpha 1 antitrypsin; COVID-19; TMPRSS2

Mesh:

Substances:

Year:  2021        PMID: 33450625      PMCID: PMC7796667          DOI: 10.1016/j.mehy.2021.110485

Source DB:  PubMed          Journal:  Med Hypotheses        ISSN: 0306-9877            Impact factor:   1.538


Introduction

In December 2019 China reported a new Coronavirus emerging from Wuhan city. Since then the virus has traveled to all corners of the world with 29,593,883 confirmed infections and 935,446 deaths globally as of 16.09.2020 (https://coronavirus.jhu.edu/map.html). As per available data, five out of the top ten countries with the highest COVID-19 related fatality/million population are from Europe and rest of the five are from Latin America (https://www.worldometers.info/coronavirus/) (Supplementary Table 1). Understandings the cause behind the difference would need an investigation of the trinity – agent, host, and environment. Concerning the virus, SARS-CoV-2 uses the ACE2 receptor for entry and the serine protease TMPRSS2 for S protein priming [1]. In addition, the host genetics is also likely to play a major part since Asians have fared much better in terms of morbidity and mortality of COVID-19 compared to other ethnicities like Europeans. Moreover, there is a significant difference in terms of morbidity and mortality of COVID-19 in different ethnicities which can hardly be explained by environmental factors alone. TMPRSS2 also being under the regulation of androgen [2] also might explain higher infection as well as the mortality rate of COVID-19 among the males across the ethnicities and geographic regions. Notably, recent large GWAS studies have revealed several emerging chemokine genes like CXCR6, CCR1 and SLC6A20 gene coding the amino acid transporter SIT1 which is known to interact with ACE2 receptor [3].

The hypothesis

Alpha 1 antitrypsin deficiency might be a risk factor for severe infection with COVID-19

Concerning other genetic predisposing factors, of particular interest is a study that experimentally demonstrated that Alpha 1 antitrypsin is an inhibitor of Transmembrane protease serine 2 (TMPRSS2) enzyme in a dose-dependent manner and this may explain the preventive effect of COVID-19 infection naïve plasma for viral entry in model systems [1], [4]. Indeed, the Structure-based computational predictions of protein-protein interactions (Struct2Net – http://cb.csail.mit.edu/cb/struct2net/webserver) also showed the probability of interaction to be 0.386 using the 1k9o and 1ezx PDB crystal structures. Which corresponds to 95% specificity for this interaction which is very close to the suggested specificity of 96% (corresponding to suggested threshold of 0.4 – http://cb.csail.mit.edu/cb/struct2net/webserver/sens_spec.csv). Given the Alpha 1 Antitrypsin undergoes significant modifications including glycosylation before it interacts with any of the serine proteases and TMPRSS2 is also glycosylated the actual specificity of their interaction may be higher than predicted as glycosylation in both the partners is known to increase the probability of interaction [5]. Also, the GTEx database showed a co-expression of TMPRSS2 and SERPINA1 (Alpha 1 antitrypsin) in the human liver and lung [6]. Further studies are required to investigate if TMPRSS2 upregulates the expression of SERPINA1. Thus, these preliminary experimental and in Silico pieces of evidence opens up a new possibility of repurposing the existing therapy for Alpha 1 antitrypsin deficiency for COVID-19.

Evaluation of the hypothesis

Though it is well known that Alpha 1 antitrypsin deficiency is highly prevalent in Europeans to date most of the studies have focused their effort on the most common deficiency variant rs17580. Thus, we undertook an unbiased approach of a comprehensive evaluation of the gnomAD database which contains exome and genome data of 71,702 individuals as on 5th May 2020. Briefly, all variant data of the SERPINA1 gene were downloaded and annotated using the Varsome (https://varsome.com/) and Ensembl Variant Effect Predictor (https://asia.ensembl.org/info/docs/tools/vep/index.html) web interfaces. Of the total 466 variants in the SERPINA1 gene, 218 were either loss of function or non-synonymous variants. After we used variant filtering as per ACMG 2015 criteria [7] 32 variants remained which were either pathogenic or likely pathogenic (Table 1 ). Out of these 13 variants were observed only once highlighting the long tail in the variant frequency distribution of most monogenic diseases. We manually corroborated our findings with the Clinvar database (https://www.ncbi.nlm.nih.gov/clinvar/) to ensure there is enough clinical or functional evidence available for variant pathogenicity. We then added up the minor allele frequencies of these 32 variants across all ethnicities to obtain the q value. Using the Hardy Weinberg equilibrium for an autosomal recessive inheritance, we calculated the 2pq value to estimate the population carrier frequencies and percentages for all available ethnicities. Derivation of population carrier frequency data is listed in Table 2 . We also identified 60 variants of unknown significance which are listed in Supplementary Table 2. More clinical reports or functional analysis would be required to resolve these variants. The correlation of geographical prevalence of Alpha 1 Antitrypsin deficiency with severe COVID-1 SARS-CoV-2 infection prevalence in Italy [8] serves to highlight the utility of our approach in supporting the hypothesis. Considering the possibility of genetic admixture in the gnomAD data we have also reviewed the literature for country specific prevalence estimates. One such study from Germany [9] using health insurance data showed a prevalence of Alpha 1 Antitrypsin Deficiency of 29.36 per 1,00, 000 in those ≥30 years of age. Based on our estimates based on European data (q = 0.066241) the projected prevalence in Germany would be (q2) 43.87 per 1,00,000. Considering Latin American nations previous studies suggested a population carrier frequency of the commonest SERPINA1 mutation rs17580 (PiS) of 33.5 per 1000 population in Peru [10] which is pretty close to the gnomAD frequency of 32.3 per 1000 Latino/Admixed American population (https://gnomad.broadinstitute.org/variant/rs17580?dataset=gnomad_r2_1). gnomAD database had 1042 exomes from Latino/Admixed American population which constituted 17.8% of exomes in gnomAD database which also contained data from the TOPMED project. Therefore, we can argue that estimates based on genome databases can be broadly good alternatives when population-based data is scarce.
Table 1

Pathogenic and likely pathogenic variants.

Sl. No.rs IDProtein ConsequenceTranscript Consequence
1rs17580p.Glu288Valc.863A>T
2p.Glu366Lysc.1096G>A
3rs28931570p.Arg63Cysc.187C>T
4rs1425620023p.Thr346SerfsTer7c.1036_1037insGT
5rs1175196821p.Glu347GlyfsTer12c.1040_1041del
6rs112661131c.646+2T>C
7rs775982338p.Phe76delc.227_229del
8rs750779440c.917+1G>A
9p.Asn402IlefsTer12c.1205del
10p.Glu400AspfsTer44c.1199_1200insC
11rs746155701p.Thr320Alac.958A>G
12rs11558261p.Gly139Serc.415G>A
13rs1240316149p.Ala379ProfsTer19c.1135del
14p.Asn289LysfsTer2c.866dup
15rs756773408p.Gly216Cysc.646G>T
16p.Glu175LysfsTer35c.522del
17c.-23-1G>C
18c.-23-2A>G
19rs764325655p.Glu387ArgfsTer14c.1158dup
20rs921982028p.Thr204SerfsTer11c.611_612del
21rs751235320c.646+1G>T
22rs267606950p.Tyr184Terc.552del
23rs776846218p.Glu387ArgfsTer11c.1158del
24rs751343534p.Ala371TrpfsTer28c.1111_1115del
25rs754737768p.Ala371AsnfsTer31c.1110_1111insAACA
26c.1065+2T>G
27rs199422211p.Lys241Terc.721A>T
28p.Gly216AlafsTer22c.647del
29p.Tyr184Terc.552C>G
30p.Pro393Leuc.1178C>T
31rs28931569p.Leu65Proc.194T>C
32rs1445192595p.Trp218Terc.654G>A
Table 2

Calculation of carrier frequencies for ethnicities.

Ethnicitypq2pq2pq (%)
African0.9866860.0133140.0262732.627285
Amish0.8733330.1266670.22124422.12444
Latino0.9362010.0637990.11945711.94568
Ashkenazi Jewish0.9798440.0201560.03953.950031
East Asian0.9987240.0012760.0025490.254939
Finnish0.9723340.0276660.0538025.380208
European0.9337590.0662410.12370712.37069
Other0.9405760.0594240.11178611.17862
South Asian0.9977060.0022940.0045770.457663
Pathogenic and likely pathogenic variants. Calculation of carrier frequencies for ethnicities.

Consequences of the hypothesis and discussion

We thereby estimated that other than the small Amish population who have the highest carrier rate for Alpha 1 antitrypsin deficiency (22%) both Europeans and Latinos have substantially high carrier rates (12%) (Table 2). Incidentally, the later ethnicities are the predominant population group of nine out of ten countries having the highest case fatality rate. Smoking habits may further aggravate the impact of Alpha 1 antitrypsin deficiency to induce further lung damage (3). Serine protease inhibitor family or SERPIN is an important class of proteins that plays a crucial role in the homeostasis of blood coagulation [9]; intriguingly, autopsy reports of the deceased showed that the DIC is an important pathogenic factor [10]. Thus, we believe that there is substantial evidence to warrant further studies involving measurement of serum SERPIN levels including alpha 1 antitrypsin status along with the smoking history in COVID-19 patients and also study of therapeutic efficacy of Alpha 1 antitrypsin in animal models of this infection. Indeed there is already a clinical trial already underway in Ireland investigating [11], [12] the efficacy of Alpha 1 antitrypsin pharmacological treatment on inflammatory marker levels (https://www.clinicaltrialsarena.com/news/ireland-alpha-1-antitrypsin-trial/). As of now, based on the available evidence we advocate, the potential role of Alpha 1 antitrypsin and another SERPIN status as a predictor of the disease outcome. Considering the huge burden on medical infrastructure and the socio-economic state due to the SARS-CoV-2 pandemic associated condition, such predictors can help to segregate the specific cohort of susceptible people only for focused medical attention.

Declaration of Competing Interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
  9 in total

1.  The prevalence of diagnosed α1-antitrypsin deficiency and its comorbidities: results from a large population-based database.

Authors:  Timm Greulich; Christoph Nell; David Hohmann; Marco Grebe; Sabina Janciauskiene; Andreas Rembert Koczulla; Claus Franz Vogelmeier
Journal:  Eur Respir J       Date:  2017-01-04       Impact factor: 16.671

2.  Estimates of PI*S and PI*Z Alpha-1 antitrypsin deficiency alleles prevalence in the Caribbean and North, Central and South America.

Authors:  F J de Serres; I Blanco; E Fernández-Bustillo
Journal:  Monaldi Arch Chest Dis       Date:  2009-09

3.  Androgen regulation of the TMPRSS2 gene and the effect of a SNP in an androgen response element.

Authors:  Liesbeth Clinckemalie; Lien Spans; Vanessa Dubois; Michaël Laurent; Christine Helsen; Steven Joniau; Frank Claessens
Journal:  Mol Endocrinol       Date:  2013-10-09

4.  Standards and guidelines for the interpretation of sequence variants: a joint consensus recommendation of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology.

Authors:  Sue Richards; Nazneen Aziz; Sherri Bale; David Bick; Soma Das; Julie Gastier-Foster; Wayne W Grody; Madhuri Hegde; Elaine Lyon; Elaine Spector; Karl Voelkerding; Heidi L Rehm
Journal:  Genet Med       Date:  2015-03-05       Impact factor: 8.822

5.  Genomewide Association Study of Severe Covid-19 with Respiratory Failure.

Authors:  David Ellinghaus; Frauke Degenhardt; Luis Bujanda; Maria Buti; Agustín Albillos; Pietro Invernizzi; Javier Fernández; Daniele Prati; Guido Baselli; Rosanna Asselta; Marit M Grimsrud; Chiara Milani; Fátima Aziz; Jan Kässens; Sandra May; Mareike Wendorff; Lars Wienbrandt; Florian Uellendahl-Werth; Tenghao Zheng; Xiaoli Yi; Raúl de Pablo; Adolfo G Chercoles; Adriana Palom; Alba-Estela Garcia-Fernandez; Francisco Rodriguez-Frias; Alberto Zanella; Alessandra Bandera; Alessandro Protti; Alessio Aghemo; Ana Lleo; Andrea Biondi; Andrea Caballero-Garralda; Andrea Gori; Anja Tanck; Anna Carreras Nolla; Anna Latiano; Anna Ludovica Fracanzani; Anna Peschuck; Antonio Julià; Antonio Pesenti; Antonio Voza; David Jiménez; Beatriz Mateos; Beatriz Nafria Jimenez; Carmen Quereda; Cinzia Paccapelo; Christoph Gassner; Claudio Angelini; Cristina Cea; Aurora Solier; David Pestaña; Eduardo Muñiz-Diaz; Elena Sandoval; Elvezia M Paraboschi; Enrique Navas; Félix García Sánchez; Ferruccio Ceriotti; Filippo Martinelli-Boneschi; Flora Peyvandi; Francesco Blasi; Luis Téllez; Albert Blanco-Grau; Georg Hemmrich-Stanisak; Giacomo Grasselli; Giorgio Costantino; Giulia Cardamone; Giuseppe Foti; Serena Aneli; Hayato Kurihara; Hesham ElAbd; Ilaria My; Iván Galván-Femenia; Javier Martín; Jeanette Erdmann; Jose Ferrusquía-Acosta; Koldo Garcia-Etxebarria; Laura Izquierdo-Sanchez; Laura R Bettini; Lauro Sumoy; Leonardo Terranova; Leticia Moreira; Luigi Santoro; Luigia Scudeller; Francisco Mesonero; Luisa Roade; Malte C Rühlemann; Marco Schaefer; Maria Carrabba; Mar Riveiro-Barciela; Maria E Figuera Basso; Maria G Valsecchi; María Hernandez-Tejero; Marialbert Acosta-Herrera; Mariella D'Angiò; Marina Baldini; Marina Cazzaniga; Martin Schulzky; Maurizio Cecconi; Michael Wittig; Michele Ciccarelli; Miguel Rodríguez-Gandía; Monica Bocciolone; Monica Miozzo; Nicola Montano; Nicole Braun; Nicoletta Sacchi; Nilda Martínez; Onur Özer; Orazio Palmieri; Paola Faverio; Paoletta Preatoni; Paolo Bonfanti; Paolo Omodei; Paolo Tentorio; Pedro Castro; Pedro M Rodrigues; Aaron Blandino Ortiz; Rafael de Cid; Ricard Ferrer; Roberta Gualtierotti; Rosa Nieto; Siegfried Goerg; Salvatore Badalamenti; Sara Marsal; Giuseppe Matullo; Serena Pelusi; Simonas Juzenas; Stefano Aliberti; Valter Monzani; Victor Moreno; Tanja Wesse; Tobias L Lenz; Tomas Pumarola; Valeria Rimoldi; Silvano Bosari; Wolfgang Albrecht; Wolfgang Peter; Manuel Romero-Gómez; Mauro D'Amato; Stefano Duga; Jesus M Banales; Johannes R Hov; Trine Folseraas; Luca Valenti; Andre Franke; Tom H Karlsen
Journal:  N Engl J Med       Date:  2020-06-17       Impact factor: 91.245

6.  Geographical Overlap Between Alpha-1 Antitrypsin Deficiency and COVID-19 Infection in Italy: Casual or Causal?

Authors:  Andrea Vianello; Fausto Braccioni
Journal:  Arch Bronconeumol (Engl Ed)       Date:  2020-09-14       Impact factor: 4.872

7.  Autopsy Findings and Venous Thromboembolism in Patients With COVID-19: A Prospective Cohort Study.

Authors:  Dominic Wichmann; Jan-Peter Sperhake; Marc Lütgehetmann; Stefan Steurer; Carolin Edler; Axel Heinemann; Fabian Heinrich; Herbert Mushumba; Inga Kniep; Ann Sophie Schröder; Christoph Burdelski; Geraldine de Heer; Axel Nierhaus; Daniel Frings; Susanne Pfefferle; Heinrich Becker; Hanns Bredereke-Wiedling; Andreas de Weerth; Hans-Richard Paschen; Sara Sheikhzadeh-Eggers; Axel Stang; Stefan Schmiedel; Carsten Bokemeyer; Marylyn M Addo; Martin Aepfelbacher; Klaus Püschel; Stefan Kluge
Journal:  Ann Intern Med       Date:  2020-05-06       Impact factor: 25.391

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

Authors:  Markus Hoffmann; Hannah Kleine-Weber; Simon Schroeder; Nadine Krüger; Tanja Herrler; Sandra Erichsen; Tobias S Schiergens; Georg Herrler; Nai-Huei Wu; Andreas Nitsche; Marcel A Müller; Christian Drosten; Stefan Pöhlmann
Journal:  Cell       Date:  2020-03-05       Impact factor: 41.582

Review 9.  Alpha-1-antitrypsin: A possible host protective factor against Covid-19.

Authors:  Mariana Braccialli de Loyola; Thaís Tereza Aguiar Dos Reis; Guilherme Xavier Lyra Malcher de Oliveira; Julys da Fonseca Palmeira; Gustavo A Argañaraz; Enrique R Argañaraz
Journal:  Rev Med Virol       Date:  2020-08-26       Impact factor: 11.043

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.