{"doi":"10.3390/v15071448","title":"Lack of Evidence for a Role of ACE-2 Polymorphisms as a Bedside Clinical Prognostic Marker of COVID-19","abstract":"The novel SARS-CoV-2 coronavirus causes a severe respiratory syndrome referred to as coronavirus disease (COVID-19). The angiotensin-converting enzyme 2 (ACE-2) plays an important role as a cellular receptor for SARS-CoV-2 and is largely expressed in lungs, kidneys, heart and the gastrointestinal tract along with being shed in plasma. The ACE-2 gene and protein show a high level of genetic polymorphism, including simple nucleotide variation, transcriptional variation, post-transcriptional changes, and putative protein mutations that could interfere with the binding or entry of SARS-CoV-2 and affect tissue damage in lungs or other organs. Genetic polymorphisms can impact SARS-CoV-2 viral entry and COVID-19 severity. This single-center study evaluated the possible role of the main ACE-2 polymorphisms (rs143936283, rs2285666, rs41303171, rs35803318, and rs2106809) as potential prognostic markers in SARS-CoV-2-infected individuals. Frozen whole blood was used for DNA isolation and genomic DNA samples were sheared using the Covaris LE220 Focused-ultrasonicator for targeting a peak size of 410 bp. Whole-genome sequencing libraries were generated from fragmented DNA using the Illumina TruSeq DNA PCR-Free HT Library Preparation Kit and sequenced on an Illumina NovaSeq 6000. We did not identify any correlation between ACE-2 polymorphisms and COVID-19 prognosis, suggesting that the interpretation and clinical use of ACE-2 genetic polymorphisms in real-world clinical settings requires further experimental and clinical validation.","journal":"Viruses","year":2023,"id":409083,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":0,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.959,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2023-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":961106,"name":"Mariantonietta Di Stefano","orcid":"0000-0001-8814-0953","position":1,"is_corresponding":false},{"id":104191,"name":"Andrew J. Oler","orcid":"0000-0002-6310-0434","position":2,"is_corresponding":false},{"id":1188519,"name":"Yu Zhang","orcid":"0000-0003-3630-9002","position":3,"is_corresponding":false},{"id":104192,"name":"Jingwen Gu","orcid":"0000-0003-2258-3131","position":4,"is_corresponding":false},{"id":241309,"name":"Clifton L. Dalgard","orcid":"0000-0003-2025-8239","position":5,"is_corresponding":false},{"id":1097004,"name":"Giuseppina Faleo","orcid":"0000-0001-5969-3890","position":6,"is_corresponding":false},{"id":863585,"name":"Brian Epling","orcid":"0000-0002-7434-942X","position":7,"is_corresponding":false},{"id":231247,"name":"Luigi D. Notarangelo","orcid":"0000-0002-8335-0262","position":8,"is_corresponding":false},{"id":332535,"name":"Andrea Lisco","orcid":"0000-0002-1475-356X","position":9,"is_corresponding":false},{"id":1072672,"name":"Teresa Santantonio","orcid":"0000-0002-4342-6904","position":10,"is_corresponding":false},{"id":961108,"name":"J R Fiore","orcid":"0000-0002-3079-5866","position":0,"is_corresponding":true}],"reference_count":30,"raw_metadata":null,"created_at":"2026-07-19T01:21:22.368387Z","pmid":"37515136","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}