key: cord-297989-4grwa4ab
authors: Li, Yunjin; Xu, Qiyue; Ma, Lu; Wu, Duojiao; Gao, Jie; Chen, Geng; Li, Hua
title: Systematic profiling of ACE2 expression in diverse physiological and pathological conditions for COVID‐19/SARS‐CoV‐2
date: 2020-07-08
journal: J Cell Mol Med
DOI: 10.1111/jcmm.15607
sha: 
doc_id: 297989
cord_uid: 4grwa4ab

Recent retrospective studies of severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) disease (COVID‐19) revealed that the patients with common comorbidities of cancers and chronic diseases face significantly poorer clinical outcomes than those without. Since the expression profile of ACE2, a crucial cell entry receptor for SARS‐CoV‐2, could indicate the susceptibility to SARS‐CoV‐2 infection, here we systematically dissected ACE2 expression using large‐scale multi‐omics data from 30 organs/tissues, 33 cancer types and some common chronic diseases involving >28 000 samples. It was found that sex and age could be correlated with the susceptibility of SARS‐CoV‐2 infection for certain tissues. Strikingly, ACE2 was up‐regulated in cervical squamous cell carcinoma and endocervical adenocarcinoma, colon adenocarcinoma, oesophageal carcinoma, kidney renal papillary cell carcinoma, lung adenocarcinoma and uterine corpus endometrial carcinoma compared to controls. Furthermore, the patients with common chronic diseases regarding angiocardiopathy, type 2 diabetes, liver, pneumonia and hypertension were also with higher ACE2 expression compared to related controls, which were validated using independent data sets. Collectively, our study may reveal a novel important mechanism that the patients with certain cancers and chronic diseases may express higher ACE2 expression compared to the individuals without diseases, which could lead to their higher susceptibility to multi‐organ injury of SARS‐CoV‐2 infection.

As of 24 May 2020, the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) disease (COVID-19) had resulted in >345 000 deaths among >5 400 000 infected cases worldwide.

An increasing number of retrospective cohort studies regarding the patients with COVID-19 throughout China revealed that the patients with common comorbidities of cancers and chronic diseases are with poorer clinical outcomes (eg admission to intensive care unit or death) than those without. [1] [2] [3] [4] [5] Although immune deregulation could be one potential factor accounting for it, other causes and the underlying mechanism are poorly understood. It has been shown that the expression of cell receptor ACE2 could indicate the risk degree to SARS-CoV-2 infection, 6, 7 thus dissecting ACE2 expression in diverse physiological and pathological conditions is crucial for identifying the susceptible population to special care and developing corresponding drugs and the treatment of SARS-CoV-2 infection. However, the expression profile of ACE2 in common comorbidities of SARS-CoV-2 infected patients like cancers and chronic diseases is still largely unknown.

Here, we systematically analysed ACE2 expression using largescale multi-omics data from a variety of organs/tissues and cancer types, as well as the common chronic diseases of heart, liver, diabetes, pneumonia and hypertension involving a total of >28 000 samples. The underlying mechanisms of ACE2 expression variation in different conditions were also investigated. Moreover, we examined the association of sex and age with ACE2 expression in diverse tissues and cancers.

We downloaded the pan-cancer data of gene expression and DNA methylation (Methylation 450k) of The Cancer Genome Atlas (TCGA) 8 from UCSC Xena. The gene expression matrices and related sample information of various human tissues were obtained from the Genotype-Tissue Expression (GTEx). 9 The batch effect removed and normalized data sets for TCGA and GTEx were also downloaded from a previous study. 10 The gene expression data of different chronic diseases were obtained from Gene Expression Omnibus (GEO). 11 Heart disease-related data sets: GSE26887, GSE29819 and GSE59867, diabetes-related datasets: GSE23343, GSE25724 and GSE77962. Chronic liver disease-related data sets: GSE6764, GSE14323 and GSE89632. Pneumonia-related data sets: GSE10667, GSE42830 and GSE11 0147. Hypertension-related data sets: GSE53408 and GSE11 3439.

For testing the expression differences of ACE2 between two comparing groups, we employed Student's t test and defined P < 0.05 as significant. In order to examine the methylation level changes, we averaged the normalized beta values from TCGA pan-cancer methylation data of the probes mapped to the promoter region (−1500 bp to −200bp upstream to the transcription start site [TSS]) of ACE2 to represent its methylation level. Then, Student's t test was employed to check the methylation differences, and P < 0.05 was considered as significant.

We inferred the gene regulatory network for different tissues of GTEx and each TCGA cancer using the SCENIC pipeline (version 1.1.0.1). 12 First, the gene sets co-expressed with TFs were identified using GENIE3. 13 Then, the putative direct-binding targets of TFs were identified by employing RcisTarget (version 1.2.1). 12 Finally, the regulatory networks were identified with the SCENIC pipeline, and the regulons with less than 10 target genes were removed from downstream analysis.

We first profile ACE2 expression using the expression data of 30 organs/tissues containing >17 300 samples from GTEx 9 and found that ACE2 was highly expressed in a set of tissues including testis, small intestine, kidney, thyroid, heart, adipose tissue and breast ( Figure 1A) , suggesting that these tissues may be vulnerable to SARS-CoV-2 infection, which is supported by recent clinical findings. 2, 14 Interestingly, significant ACE2 expression differences between sexes were observed in adipose tissue, heart, breast and oesophagus ( Figure 1B , P < 0.05). Moreover, differential ACE2 expression was detected between distinct age groups (20-39, 40-59 and 60-79) of a set of tissues such as testis, salivary gland, colon, nerve, liver, adrenal gland and ovary ( Figure 1C , P < 0.05). Thus, sex and age could be correlated with the susceptibility of SARS-CoV-2 infection for certain tissues. Gene regulatory network analysis of transcription factor (TF)-ACE2 suggested that the dynamic changes of TF regulatory networks may account for the expression variation of ACE2 across tissues ( Figure 1D ).

We further explored ACE2 using multi-omics data of 33 cancer types with >10 500 samples from TCGA. 8 Remarkably, ACE2 was significantly up-regulated in cervical squamous cell carcinoma and endocervical adenocarcinoma, colon adenocarcinoma, kidney renal papillary cell carcinoma, oesophageal carcinoma, showed significant expression differences between sexes in bladder urothelial carcinoma, head and neck squamous cell carcinoma, and kidney renal clear cell carcinoma ( Figure 1F , P < 0.05). But no significant association between ACE2 expression and the age of cancer patients was observed. Moreover, further analysis suggested that methylation level changes of ACE2 promoter and the dynamics of TF-ACE2 regulatory networks could be responsible for the expression difference of ACE2 between tumours and controls ( Figure 1G ,H, P < 0.05).

Since the SARS-CoV-2 infected patients with certain common chronic diseases also face a relatively high risk of poor clinical outcomes, [2] [3] [4] [5] we further explored the underlying mechanism by profiling ACE2 expression with the expression data of common chronic diseases regarding angiocardiopathy, type 2 diabetes (T2D), liver, hypertension and pneumonia obtained from GEO. 11 Surprisingly, individuals 

with cardiovascular diseases could express higher ACE2 expression than those without heart diseases (non-failing hearts) using three independent data sets (Figure 2A , P < 0.01). Moreover, ACE2 was upregulated in patients with T2D compared to the individuals without T2D in three independent datasets ( Figure 2B , P < 0.05). The liver tissues with chronic diseases such as cirrhosis, dysplasia, non-alcoholic steatohepatitis, and simple steatosis also could express higher levels of ACE2 than that of normal liver tissues with three independent data sets ( Figure 2C , P < 0.05). Furthermore, higher expression of ACE2 was detected in pneumonia compared to normal controls using three independent data sets ( Figure 2D , P < 0.05). Additionally, the up-regulation of ACE2 was detected in patients with pulmonary arterial hypertension compared to healthy individuals in two independent data sets ( Figure 2E , P < 0.01). Therefore, expression of ACE2 could be upregulated in patients with these common chronic diseases, which may result in greater susceptibility to the injury of SARS-CoV-2 infection.

In summary, our findings may reveal a novel important mechanism that the patients with certain cancers and chronic diseases could express higher ACE2 expression compared to the individuals without diseases, which may lead to their higher susceptibility to multi-organ injury of SARS-CoV-2 infection. We believe this study will largely facilitate better understanding and interpretation of the injury risk and clinical outcomes of SARS-CoV-2 infected patients with common comorbidities. Our results could be very practical for effective population protection and scientific clinical treatment.

This work was supported by the National Natural Science Foundation of China (31771460, 91629103, 81870182).

The authors confirm that there are no conflicts of interest. 

All the data used in this study were downloaded from public databases as stated in the manuscript.

Geng Chen https://orcid.org/0000-0002-3452-9434

Hua Li https://orcid.org/0000-0001-9644-6768

Cancer patients in SARS-CoV-2 infection: a nationwide analysis in China

Clinical characteristics of coronavirus disease 2019 in China

Clinical and radiographic features of cardiac injury in patients with 2019 novel coronavirus pneumonia

Comorbidity and its impact on 1590 patients with COVID-19 in China: A nationwide analysis

Novel Coronavirus Pneumonia Emergency Response Epidemiology T. The epidemiological characteristics of an outbreak of 2019 novel coronavirus diseases (COVID-19) in China

A pneumonia outbreak associated with a new coronavirus of probable bat origin

SARS-CoV-2 cell entry depends on ACE2 and TMPRSS2 and is blocked by a clinically-proven protease inhibitor

The cancer genome atlas pan-cancer analysis project

The genotype-tissue expression (GTEx) project

Unifying cancer and normal RNA sequencing data from different sources

NCBI GEO: archive for functional genomics data sets-update

SCENIC: single-cell regulatory network inference and clustering

Inferring regulatory networks from expression data using tree-based methods

Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study