Evidence map›Paper›PMID 37965255›Full record

ArticleFrontiers in cellular and infection microbiology2023

Comparative analysis of clinical and immunological profiles across Omicron BA.5.2 subvariants using next-generation sequencing in a Chinese cohort.

Jianliang Huang, Mingkai Xia, Rangjiao Liu, Shaobo Wang, Xinyi Duan, Jiong Peng, Enping Li, Yanping Zhou, Chengyou Li, Quan Zhang and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in cellular and infection microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 46% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Surveillance of SARS-CoV-2 variants in Henan, China from 2023 to 2024.Frontiers in cellular and infection microbiology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 1 country.

Jianliang Huang *Zhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Mingkai Xia *Zhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Rangjiao Liu *Sanway Clinical Laboratory, Changsha, China.
Shaobo WangSanway Clinical Laboratory, Changsha, China.
Xinyi DuanSanway Clinical Laboratory, Changsha, China.
Jiong PengSanway Clinical Laboratory, Changsha, China.
Enping LiZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Yanping ZhouZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Chengyou LiZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Quan ZhangZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Jixian TianZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Xinjian WangZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Zhongrui SuZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Jun TanZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Bo PengZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Jianhui ZhangZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Jin LiZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Lizhong DaiSansure Biotech Incorporation, Changsha, China.
Mingsheng LeiZhangjiajie Hospital Affiliated to Hunan Normal University, Zhangjiajie, China.
Hunan Normal University · CNSansure Biotech (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The Omicron BA.5.2 variant of SARS-CoV-2 has undergone several evolutionary adaptations, leading to multiple subvariants. Rapid and accurate characterization of these subvariants is essential for effective treatment, particularly in critically ill patients. This study leverages Next-Generation Sequencing (NGS) to elucidate the clinical and immunological features across different Omicron BA.5.2 subvariants. Methods: We enrolled 28 patients infected with the Omicron variant, hospitalized in Zhangjiajie People's Hospital, Hunan, China, between January 20, 2023, and March 31, 2023. Throat swabs were collected upon admission for NGS-based identification of Omicron subvariants. Clinical data, including qSOFA scores and key laboratory tests, were collated. A detailed analysis of lymphocyte subsets was conducted to ascertain the extent of immune cell damage and disease severity. Results: Patients were infected with various Omicron subvariants, including BA.5.2.48, BA.5.2.49, BA.5.2.6, BF.7.14, DY.1, DY.2, DY.3, and DY.4. Despite having 43 identical mutation sites, each subvariant exhibited unique marker mutations. Critically ill patients demonstrated significant depletion in total lymphocyte count, T cells, CD4, CD8, B cells, and NK cells ( Conclusion: This study reveals that critically ill patients infected with different Omicron BA.5.2 subvariants experience similar levels of cellular immune dysfunction and inflammatory response. Four mutations - ORF1a:K3353R, ORF1a:L3667F, ORF1b:S997P, S:T883I showed correlation with immunological responses although this conclusion suffers from the small sample size. Our findings underscore the utility of NGS in the comprehensive assessment of infectious diseases, contributing to more effective clinical decision-making.

Indexed as

COVID-19SARS-CoV-2Critical IllnessEast Asian PeopleHigh-Throughput Nucleotide SequencingHumansclinical characteristicdisease severityimmune functionmutation sitesNGSOmicron subvariants

Identifiers

PMID37965255
PMCPMC10642935
OpenAlexW4388098434

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.