Characteristics of lymphocyte subsets and cytokines in peripheral blood of 123 hospitalized patients with 2019 novel coronavirus pneumonia (NCP)
Open accessAbstract
Background: To explore the cellular immunity and cytokines status of NCP patients and to predict the correlation between the cellular immunity levels, cytokines and the severity of patients. Methods: 123 NCP patients were divided into mild and severe groups. Peripheral blood was collected, lymphocyte subsets and cytokines were detected. Correlation analysis was performed on the lymphocyte subsets and cytokines, and the differences between the indexes of the two groups were analyzed. Results: 102 mild and 21 severe patients were included. Lymphocyte subsets were reduced in two groups. The proportion of CD8 + T reduction in the mild and severe group was 28.43% and 61.9%, respectively; The proportion of B cell reduction was 25.49% and 28.57%; The proportion of NK cell reduction was 34.31% and 47.62%; The detection value of IL-6 was 0 in 55.88% of the mild group, mild group has a significantly lower proportion of patients with IL-6 higher than normal than severe group; There was no significant linear correlation between the lymphocyte subsets and cytokines, while significant differences were noticed between the two groups in CD4 + T, CD8 + T, IL-6 and IL-10. Conclusions: Low levels of CD4+T and CD8+T are common in severe NCP. IL-6 and IL-10 levels were higher in severe patients. T cell subsets and cytokines can be used as one of the basis for predicting the transition from mild to severe. Large number of samples are still needed to confirm the “warning value” of CD4 + T, CD8 + T IL-6 and IL-10.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Lymphopenia correlates with serum levels of IL-6, IL-10, and TNFα.
“Lymphopenia does correlate with serum levels of IL-6, IL-10, and TNFα139,140”
From SARS-CoV-2, COVID-19 and the aging immune system (2021) · cites this paper as [140]
Cellular immunity and cytokines status are closely related to the state of illness, with high levels of IL-6 and IL-10 levels in severe patients.
“It has been confirmed that the cellular immunity and cytokines status are closely related to the state of illness, with high levels of IL-6 and IL-10 levels in severe patients (Wan et al., 2020).”
From Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection (2020) · cites this paper as Wan et al., 2020
In severe COVID-19 patients, CD4+ T and CD8+ T levels are low.
“In severe patients, CD4+ T and CD8+ T levels presented as low, indicating that T cell subsets can be used as one of the bases to predict the transition from mild to severe (Wan et al., 2020).”
From Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection (2020) · cites this paper as Wan et al., 2020
T cell subsets can be used as one of the bases to predict the transition from mild to severe COVID-19.
“In severe patients, CD4+ T and CD8+ T levels presented as low, indicating that T cell subsets can be used as one of the bases to predict the transition from mild to severe (Wan et al., 2020).”
From Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection (2020) · cites this paper as Wan et al., 2020
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884 · see citing works
Self-citationFirst case of 2019 novel coronavirus in the United States
Holshue, M. L., DeBolt, C., Lindquist, S., Lofy, K. H., Wiesman, J., Bruce, H., Spitters, C., Ericson, K., Wilkerson, S., Tural, A., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001191 · Cited by 6,030 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
The pathogenesis and treatment of the `Cytokine Storm' in COVID-19
Ye, Q., Wang, B., & Mao, J. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.03.037 · Cited by 2,761 · see citing works
Antibody Responses to SARS-CoV-2 in Patients With Novel Coronavirus Disease 2019
Zhao, J., Yuan, Q., Wang, H., Liu, W., Liao, X., Su, Y., Wang, X., Yuan, J., Li, T., Li, J., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa344 · Cited by 2,607 · see citing works
Nervous system involvement after infection with COVID-19 and other coronaviruses
Wu, Y., Xu, X., Chen, Z., Duan, J., Hashimoto, K., Yang, L., Liu, C., & Yang, C. (2020) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2020.03.031 · Cited by 2,046 · see citing works
McGonagle, D., Sharif, K., O'Regan, A., & Bridgewood, C. (2020) · Autoimmunity Reviews · doi:10.1016/j.autrev.2020.102537 · Cited by 1,654 · see citing works
Immunology of COVID-19: Current State of the Science
Vabret, N., Britton, G. J., Gruber, C., Hegde, S., Kim, J., Kuksin, M., Levantovsky, R., Malle, L., Moreira, A., Park, M. D., et al. (2020) · Immunity · doi:10.1016/j.immuni.2020.05.002 · Cited by 1,623 · see citing works
Zhang, W., Zhao, Y., Zhang, F., Wang, Q., Li, T., Liu, Z., Wang, J., Qin, Y., Zhang, X., Yan, X., et al. (2020) · Clinical Immunology · doi:10.1016/j.clim.2020.108393 · Cited by 1,266 · see citing works
Self-citationDiagnostic utility of clinical laboratory data determinations for patients with the severe COVID‐19
Gao, Y., Li, T., Han, M., Li, X., Wu, D., Xu, Y., Zhu, Y., Liu, Y., Wang, X., & Wang, L. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25770 · Cited by 1,047 · see citing works
Clinical Features and Treatment of COVID-19 Patients in Northeast Chongqing
Wan, S., Xiang, Y., Fang, W., Zheng, Y., Li, B., Hu, Y., Lang, C., Huang, D., Sun, Q., Xiong, Y., et al. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25783 · Cited by 982 · see citing works
Self-citationImmune response, inflammation, and the clinical spectrum of COVID-19
García, L. F. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.01441 · Cited by 739 · see citing works
COVID-19 infection and rheumatoid arthritis: Faraway, so close
Favalli, E. G., Ingegnoli, F., De Lucia, O., Cincinelli, G., Cimaz, R., & Caporali, R. (2020) · Autoimmunity Reviews · doi:10.1016/j.autrev.2020.102523 · Cited by 454 · see citing works
SARS-CoV-2, COVID-19 and the aging immune system
Bartleson, J. M., Radenkovic, D., Covarrubias, A. J., Furman, D., Winer, D. A., & Verdin, E. (2021) · Nature Aging · doi:10.1038/s43587-021-00114-7 · Cited by 359 · see citing works
COVID-19 vaccines: The status and perspectives in delivery points of view
Chung, J. Y., Thone, M. N., & Kwon, Y. J. (2021) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2020.12.011 · Cited by 375 · see citing works
Subjective neurological symptoms frequently occur in patients with SARS-CoV2 infection
Liguori, C., Pierantozzi, M., Spanetta, M., Sarmati, L., Cesta, N., Iannetta, M., Ora, J., Mina, G. G., Puxeddu, E., Balbi, O., et al. (2020) · Brain, Behavior, and Immunity · doi:10.1016/j.bbi.2020.05.037 · Cited by 212 · see citing works
Oral Microbiome and SARS-CoV-2: Beware of Lung Co-infection
Bao, L., Zhang, C., Dong, J., Zhao, L., Li, Y., & Sun, J. (2020) · Frontiers in Microbiology · doi:10.3389/fmicb.2020.01840 · Cited by 207 · see citing works
Multi-Organ Involvement in COVID-19: Beyond Pulmonary Manifestations
Thakur, V., Ratho, R. K., Kumar, P., Bhatia, S. K., Bora, I., Mohi, G. K., Saxena, S. K., Devi, M., Yadav, D., & Mehariya, S. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10030446 · Cited by 147 · see citing works
Impact of COVID-19 on Alzheimer’s Disease Risk: Viewpoint for Research Action
Abate, G., Memo, M., & Uberti, D. (2020) · Healthcare · doi:10.3390/healthcare8030286 · Cited by 56 · see citing works
- Authors
- Wan, S., Yi, Q., Fan, S., Lv, J., Zhang, X., Guo, L., Lang, C., Xiao, Q., Xiao, K., Yi, Z., Qiang, M., Xiang, J., Zhang, B., & Chen, Y.
- Affiliations
- Chongqing University (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- Corresponding author
- Lv, Jinglong
- Venue
- medRxiv
- Publisher
- openRxiv
- Published
- 2020-02-12
- OpenAlex
- W3008649550
- Cited by
- 562
- References
- 2
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 14 · 2023: 33 · 2022: 70 · 2021: 137 · 2020: 304
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- cc-by-nc
- Locations
- medRxiv (acceptedVersion, cc-by-nc)
- Funders
- Fundamental Research Funds for the Central Universities
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
- Health Sciences › Medicine › Neurology › Long-Term Effects of COVID-19
- Keywords
- COVID-19 pandemic, COVID-19 pneumonia, lymphocyte subsets, cytokines, CD4+ T cells, CD8+ T cells, natural killer cells, B cells, interleukin-6, IL-10, disease severity, cell-mediated immunity
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
