SARS-CoV-2 Mutation Detail Information

Virus Mutation SARS-CoV-2 Mutation T95I


Basic Characteristics of Mutations
Mutation Site T95I
Mutation Site Sentence Indeed, extensive genomic analysis revealed several mutations specifically associated with immunosuppression status, such as S: T95I, S:N764K, M:Q19E and ORF10:L37F.
Mutation Level Amino acid level
Mutation Type Nonsynonymous substitution
Gene/Protein/Region S
Standardized Encoding Gene S  
Genotype/Subtype -
Viral Reference -
Functional Impact and Mechanisms
Disease COVID-19    
Immune -
Target Gene -
Clinical and Epidemiological Correlations
Clinical Information Y
Treatment -
Location France
Literature Information
PMID 40281619
Title SARS-CoV-2 lineage-dependent temporal phylogenetic distribution and viral load in immunocompromised and immunocompetent individuals
Author Zafilaza K,Fauchois A,Leducq V,Coppee R,Guilbaud R,Yusti AF,Todesco E,Bridier-Nahmias A,Hingrat QL,Choquet S,Cacoub P,Amoura Z,Barrou B,Pourcher V,Spano JP,Louet M,Kramer L,Goulenok T,Salpin M,Daugas E,Dorent R,Ottaviani S,Zalcman G,Ghosn J,Charpentier C,Descamps D,Marcelin AG,Calvez V,Ferre VM,Marot S,Soulie C
Journal Virology journal
Journal Info 2025 Apr 25;22(1):118
Abstract OBJECTIVES: Mutational dynamics of SARS-CoV-2 in immunocompromised hosts, although well documented, remain a relatively unexplored mechanism. This study aims to compare the viral replication load and genetic diversity of SARS-CoV-2 in immunocompromised patients and non-immunocompromised individuals (NICs) from two major hospitals in Paris from January 2021 to May 2023. METHODS: Cycle threshold (CT) values were measured by TaqPath COVID-19 RT-PCR (Thermo Fisher Scientific). The SARS-CoV-2 whole-genomes from 683 immunocompromised patients and 296 NICs was sequenced using Oxford Nanopore Technologies and used to determine lineage and mutational profile. RESULTS: All immunocompromised patients, but not oncology patients, had lower SARS-CoV-2 viral loads than NICs. The genetic distribution of SARS-CoV-2 was homogeneous between immunocompromised individuals and NICs, with more mutations in immunocompromised patients (IRR = 1,013). Indeed, extensive genomic analysis revealed several mutations specifically associated with immunosuppression status, such as S: T95I, S:N764K, M:Q19E and ORF10:L37F. Conversely, the S: R346K and NSP13:T127N mutations were more common in NICs. CONCLUSION: Immunocompromised patients have lower viral loads, probably due to their later diagnosis compared to NICs and oncology patients, who have better access to on-site SARS-CoV-2 testing and follow-up. In addition, mutational profiles differ between the two groups, with immunocompromised hosts accumulating more mutations compared to NICs.
Sequence Data -
Mutation Information
Note
Basic Characteristics of Mutations
  • Mutation Site: The specific location in a gene or protein sequence where a change occurs.
  • Mutation Level: The level at which a mutation occurs, including the nucleotide or amino acid level.
  • Mutation Type: The nature of the mutation, such as missense mutation, nonsense mutation, synonymous mutation, etc.
  • Gene/Protein/Region: Refers to the specific region of the virus where the mutation occurs. Including viral genes, viral proteins, or a specific viral genome region. If the article does not specifically indicate the relationship between the mutation and its correspondence, the main
  • Gene/Protein/Region studied in the article is marked.
  • Genotype/Subtype: Refers to the viral genotype or subtype where the mutation occurs. If the article does not specifically indicate the relationship between the mutation and its correspondence, the main Genotype/Subtype studied in the article is marked.
  • Viral Reference: Refers to the standard virus strain used to compare and analyze viral sequences.
Functional Impact and Mechanisms
  • Disease: An abnormal physiological state with specific symptoms and signs caused by viral infection.
  • Immune: The article focuses on the study of mutations and immune.
  • Target Gene: Host genes that viral mutations may affect.
Clinical and Epidemiological Correlations
  • Clinical Information: The study is a clinical or epidemiological study and provides basic information about the population.
  • Treatment: The study mentioned a certain treatment method, such as drug resistance caused by mutations. If the study does not specifically indicate the relationship between mutations and their correspondence treatment, the main treatment studied in the article is marked.
  • Location: The source of the research data.
Literature Information
  • Sequence Data: The study provides the data accession number.