Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
1.
J Transl Med ; 22(1): 753, 2024 Aug 12.
Article in English | MEDLINE | ID: mdl-39135185

ABSTRACT

BACKGROUND: Omicron variant impacts populations with its rapid contagiousness, and part of patients suffered from persistent symptoms termed as long COVID. The molecular and immune mechanisms of this currently dominant global variant leading to long COVID remain unclear, due to long COVID heterogeneity across populations. METHODS: We recruited 66 participants in total, 22 out of 66 were healthy control without COVID-19 infection history, and 22 complaining about long COVID symptoms 6 months after first infection of Omicron, referred as long COVID (LC) Group. The left ones were defined as non-long COVID (NLC) Group. We profiled them via plasma neutralizing antibody titer, SARS-CoV-2 viral load, transcriptomic and proteomics screening, and machine learning. RESULTS: No serum residual SARS-CoV-2 was observed in the participants 6 months post COVID-19 infection. No significant difference in neutralizing antibody titers was found between the long COVID (LC) Group and the non-long COVID (NLC) Group. Transcriptomic and proteomic profiling allow the stratification of long COVID into neutrophil function upregulated (NU-LC) and downregulated types (ND-LC). The NU-LC, identifiable through a refined set of 5 blood gene markers (ABCA13, CEACAM6, CRISP3, CTSG and BPI), displays evidence of relatively higher neutrophil counts and function of degranulation than the ND-LC at 6 months after infection, while recovered at 12 months post COVID-19. CONCLUSION: The transcriptomic and proteomic profiling revealed heterogeneity among long COVID patients. We discovered a subgroup of long COVID population characterized by neutrophil activation, which might associate with the development of psychiatric symptoms and indicate a higher inflammatory state. Meanwhile, a cluster of 5 genes was manually curated as the most potent discriminators of NU-LC from long COVID population. This study can serve as a foundational exploration of the heterogeneity in the pathogenesis of long COVID and assist in therapeutic targeting and detailed epidemiological investigation of long COVID.


Subject(s)
COVID-19 , Neutrophils , Proteomics , SARS-CoV-2 , Humans , COVID-19/immunology , COVID-19/virology , COVID-19/blood , Neutrophils/immunology , Male , Female , Middle Aged , Transcriptome/genetics , Antibodies, Neutralizing/blood , Antibodies, Neutralizing/immunology , Adult , Post-Acute COVID-19 Syndrome , Viral Load , Aged , Gene Expression Profiling , Neutrophil Activation , Multiomics
2.
Int J Biol Macromol ; 281(Pt 2): 136183, 2024 Sep 30.
Article in English | MEDLINE | ID: mdl-39357723

ABSTRACT

The global spread of the Omicron variant strain BA.5/BF.7 has led to an increase in breakthrough infections. The elderly population shows different immune responses after infection due to the aging of the immune system, which has not been fully studied. The aim of this study was to investigate the effect of aging on immune response after breakthrough infection of Omicron BA.5/BF.7 variant, especially the changes of protein immune mechanism. The study analyzed the concentration of antibodies in serum and their ability to neutralize the mutant strain by comparing the immune response of the elderly population and the young population after infection. Proteomics techniques were used to assess differences in the expression of key proteins in immune cells of different age groups. The study found that older subjects produced lower levels of antibodies after infection than younger subjects and showed a significantly reduced ability to neutralize against BA.5/BF.7. In addition, proteomic analysis showed that the expression of proteins related to inflammation and apoptosis significantly increased in the immune cells of the elderly, while the proteins related to antiviral response and cell repair significantly decreased. These findings provide new ideas for immune intervention strategies in the elderly population, and emphasize the targeted research of anti-virus vaccines.

3.
Emerg Microbes Infect ; 13(1): 2292071, 2024 Dec.
Article in English | MEDLINE | ID: mdl-38054806

ABSTRACT

Data on reinfection in large Asian populations are limited. In this study, we aimed to evaluate the reinfection rate, disease severity, and time interval between the infections in the symptomatic and asymptomatic populations which are firstl infected with BA.2 Omicron Variant. We retrospectively included adult patients with COVID-19 discharged from four designated hospitals between 27 April 2021 and 30 November 2022, who were interviewed via telephone from 29 January to 1 March 2023. Univariable and multivariable analyses were used to explore risk factors associated with reinfection. A total of 16,558 patients were followed up, during the telephone survey of an average of 310.0 days, 1610 (9.72%) participants self-reported reinfection. The mean time range of reinfection was 257.9 days. The risks for reinfection were analysed using multivariable logistic regression. Patients with severe first infection were at higher risk for reinfection (aORs, 2.50; P < 0.001). The male (aORs,0.82; P < 0.001), the elderly (aORs, 0.44; P < 0.001), and patients with full vaccination (aORs, 0.67; P < 0.001) or booster (aORs, 0.63; P < 0.001) had the lower risk of reinfection. Patients over 60 years of age (aORs,9.02; P = 0.006) and those with ≥2 comorbidities (aORs,11.51; P = 0.016). were at higher risk for severe reinfection. The number of clinical manifestations of reinfection increases in people with severe first infection (aORs, 2.82; P = 0.023). The overall reinfection rate was 9.72%, and the reinfection rate of Omicron-to-Omicron subvariants was 9.50% at one year. The severity of Omicron-Omicron reinfection decreased. Data from our clinical study may provide clinical evidence and bolster response preparedness for future COVID-19 reinfection waves.


Subject(s)
COVID-19 , Reinfection , Adult , Aged , Humans , Male , Middle Aged , Retrospective Studies , China , Hospitals
4.
Emerg Microbes Infect ; 12(2): 2220578, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37272336

ABSTRACT

Long COVID hinders people from normal life and work, posing significant medical and economic challenges. Nevertheless, comprehensive studies assessing its impact on large populations in Asia are still lacking. We tracked over 20,000 patients infected with COVID-19 for the first time during the Omicron BA.2 outbreak in Shanghai from March-June 2022 for one year. Of the 21,799 COVID-19 patients who participated in the 6-month telephone follow-up, 1939 (8.89%) had self-reported long COVID symptoms. 450 long COVID patients participated in the 6-month outpatient follow-up. Participants underwent healthy physical examinations and questionnaires focused on long-COVID-related symptoms and mental health. Mobility problem (P < 0.001), personal care problem (P = 0.003), usual activity problem (P < 0.001), pain/discomfort (P < 0.001), anxiety/depression (P = 0.001) and PTSD (P = 0.001) were more prevalent in long COVID patients than in healthy individuals, but no significant differences were found between the two groups on chest CT and laboratory examinations. Of the 856 long COVID patients who participated in the 12-month follow-up, 587 (68.5%) had their symptoms resolved. In the multivariable logistic analysis, females (P < 0.001), youth (age <40 years) (P < 0.001), ≥ 2 comorbidities (P = 0.009), and severe infection in the acute phase (P = 0.006) were risk factors for developing long COVID. Middle age (40-60 years) was a risk factor for persistent long COVID one year after hospital discharge (P = 0.013). The study found that long COVID mainly manifested as subjective symptoms and impacts partial patients' quality of life and mental status. After one year, most (68.5%) of the patients recovered from long COVID with no impairment of organ function observed.


Subject(s)
COVID-19 , Post-Acute COVID-19 Syndrome , Female , Middle Aged , Adolescent , Humans , Adult , China/epidemiology , SARS-CoV-2 , Follow-Up Studies , Quality of Life , COVID-19/epidemiology , Outpatients
5.
Emerg Microbes Infect ; 12(2): 2249121, 2023 Dec.
Article in English | MEDLINE | ID: mdl-37668156

ABSTRACT

BACKGROUND: Omicron had swept the mainland China between December 2022 and January 2023, while SARS-CoV-2 still continued to evolve. To fully prepare for the next wave, it's urgent to evaluate the humoral immune response post BA.5/BF.7 breakthrough infection against predominant sub-lineages among existing vaccination strategies and the elders. METHOD: This study enrolled a longitudinal young-adult cohort from 2/3-dose vaccination to 1 month after breakthrough infection, and an elder cohort at 1 month after breakthrough infection. Seral samples were collected and tested for humoral immune response to SARS-CoV-2 subvariants including WT, BA.2, BA.5, BF.7, BQ.1.1, CH.1.1, XBB.1.5. RESULTS: BA.5/BF.7 breakthrough infection induced higher neutralization activity than solely vaccination in all SARS-CoV-2 strains, while the latest Omicron subvariants, BQ.1.1, CH.1.1, XBB.1.5, exhibited the strongest neutralization evasion ability. There was a negative correlation between age and humoral immune response in WT, BA.5, BQ.1.1, and XBB.1.5. Compared to non-vaccination groups, breakthrough infection in two-dose vaccination groups had significantly higher neutralizing antibody against WT, BA.2, BA.5, BF.7 but not to BQ.1.1, CH.1.1, XBB.1.5 while booster dose against the prototype prior-breakthrough would not further significantly enhance individual's humoral responses against the latest Omicron subvariants. CONCLUSIONS: Newer variants manifest increasing immune evasion from neutralization and repeated prototype-based booster vaccines may not further enhance neutralizing antibody against emerging new variants. Older adults have lower levels of neutralizing antibody. Future vaccination strategies should aim to enhance effective neutralization to contemporary variants.


Subject(s)
Breakthrough Infections , COVID-19 , Humans , Aged , COVID-19/prevention & control , SARS-CoV-2 , Aging , Antibodies, Neutralizing
SELECTION OF CITATIONS
SEARCH DETAIL