The clinical trajectory of peripheral blood immune cell subsets, T-cell activation, and cytokines in septic patients
Objective and design Changes in the immune status of patients with sepsis may have a major impact on their prognosis. Our research focused on changes in various immune cell subsets and T-cell activation during the progression of sepsis. Methods and subjects We collected data from 188 sepsis patients...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Lu, Xuan [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2023 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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| Übergeordnetes Werk: |
Enthalten in: Inflammation research - Cham : Springer International Publishing AG, 1969, 73(2023), 1 vom: 12. Dez., Seite 145-155 |
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| Übergeordnetes Werk: |
volume:73 ; year:2023 ; number:1 ; day:12 ; month:12 ; pages:145-155 |
| Links: |
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| DOI / URN: |
10.1007/s00011-023-01825-w |
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| Katalog-ID: |
SPR05431786X |
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| 245 | 1 | 4 | |a The clinical trajectory of peripheral blood immune cell subsets, T-cell activation, and cytokines in septic patients |
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| 520 | |a Objective and design Changes in the immune status of patients with sepsis may have a major impact on their prognosis. Our research focused on changes in various immune cell subsets and T-cell activation during the progression of sepsis. Methods and subjects We collected data from 188 sepsis patients at the First Affiliated Hospital of Zhejiang University School of Medicine. The main focus was on the patient’s immunocyte subset typing, T-cell activation/Treg cell analysis, and cytokine assay, which can indicate the immune status of the patient. Results The study found that the number of $ CD4^{+} $ T cells, $ CD8^{+} $ T cells, NK cells, and B cells decreased early in the disease, and the decrease in $ CD4^{+} $ and $ CD8^{+} $ T cells was more pronounced in the death group. T lymphocyte activation was inhibited, and the number of Treg cells increased as the disease progressed. T lymphocyte inhibition was more significant in the death group, and the increase in IL-10 was more significant in the death group. Finally, we used patients’ baseline conditions and immunological detection indicators for modeling and found that IL-10, $ CD4^{+} $ Treg cells, $ CD3^{+} $HLA-$ DR^{+} $ T cells, and $ CD3^{+} %$ CD69^{+} $ T cells could predict patients’ prognosis well. Conclusion Our study found that immunosuppression occurs in patients early in sepsis. Early monitoring of the patient’s immune status may provide a timely warning of the disease. | ||
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| 650 | 4 | |a Immunocyte |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Cytokines |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a T-cell activation |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Immunosuppression |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Song, Cong-Ying |4 aut | |
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| 700 | 1 | |a Feng, Meng-Xiao |4 aut | |
| 700 | 1 | |a Yang, Yun-Mei |4 aut | |
| 700 | 1 | |a Lu, Yuan-Qiang |4 aut | |
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10.1007/s00011-023-01825-w doi (DE-627)SPR05431786X (SPR)s00011-023-01825-w-e DE-627 ger DE-627 rakwb eng Lu, Xuan verfasserin aut The clinical trajectory of peripheral blood immune cell subsets, T-cell activation, and cytokines in septic patients 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Objective and design Changes in the immune status of patients with sepsis may have a major impact on their prognosis. Our research focused on changes in various immune cell subsets and T-cell activation during the progression of sepsis. Methods and subjects We collected data from 188 sepsis patients at the First Affiliated Hospital of Zhejiang University School of Medicine. The main focus was on the patient’s immunocyte subset typing, T-cell activation/Treg cell analysis, and cytokine assay, which can indicate the immune status of the patient. Results The study found that the number of $ CD4^{+} $ T cells, $ CD8^{+} $ T cells, NK cells, and B cells decreased early in the disease, and the decrease in $ CD4^{+} $ and $ CD8^{+} $ T cells was more pronounced in the death group. T lymphocyte activation was inhibited, and the number of Treg cells increased as the disease progressed. T lymphocyte inhibition was more significant in the death group, and the increase in IL-10 was more significant in the death group. Finally, we used patients’ baseline conditions and immunological detection indicators for modeling and found that IL-10, $ CD4^{+} $ Treg cells, $ CD3^{+} $HLA-$ DR^{+} $ T cells, and $ CD3^{+} %$ CD69^{+} $ T cells could predict patients’ prognosis well. Conclusion Our study found that immunosuppression occurs in patients early in sepsis. Early monitoring of the patient’s immune status may provide a timely warning of the disease. Sepsis (dpeaa)DE-He213 Immunocyte (dpeaa)DE-He213 Cytokines (dpeaa)DE-He213 T-cell activation (dpeaa)DE-He213 Immunosuppression (dpeaa)DE-He213 Song, Cong-Ying aut Wang, Ping aut Li, Li aut Lin, Li-Ying aut Jiang, Shuai aut Zhou, Jia-Ning aut Feng, Meng-Xiao aut Yang, Yun-Mei aut Lu, Yuan-Qiang aut Enthalten in Inflammation research Cham : Springer International Publishing AG, 1969 73(2023), 1 vom: 12. Dez., Seite 145-155 (DE-627)253724031 (DE-600)1459194-7 1420-908X nnns volume:73 year:2023 number:1 day:12 month:12 pages:145-155 https://dx.doi.org/10.1007/s00011-023-01825-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 73 2023 1 12 12 145-155 |
| spelling |
10.1007/s00011-023-01825-w doi (DE-627)SPR05431786X (SPR)s00011-023-01825-w-e DE-627 ger DE-627 rakwb eng Lu, Xuan verfasserin aut The clinical trajectory of peripheral blood immune cell subsets, T-cell activation, and cytokines in septic patients 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Objective and design Changes in the immune status of patients with sepsis may have a major impact on their prognosis. Our research focused on changes in various immune cell subsets and T-cell activation during the progression of sepsis. Methods and subjects We collected data from 188 sepsis patients at the First Affiliated Hospital of Zhejiang University School of Medicine. The main focus was on the patient’s immunocyte subset typing, T-cell activation/Treg cell analysis, and cytokine assay, which can indicate the immune status of the patient. Results The study found that the number of $ CD4^{+} $ T cells, $ CD8^{+} $ T cells, NK cells, and B cells decreased early in the disease, and the decrease in $ CD4^{+} $ and $ CD8^{+} $ T cells was more pronounced in the death group. T lymphocyte activation was inhibited, and the number of Treg cells increased as the disease progressed. T lymphocyte inhibition was more significant in the death group, and the increase in IL-10 was more significant in the death group. Finally, we used patients’ baseline conditions and immunological detection indicators for modeling and found that IL-10, $ CD4^{+} $ Treg cells, $ CD3^{+} $HLA-$ DR^{+} $ T cells, and $ CD3^{+} %$ CD69^{+} $ T cells could predict patients’ prognosis well. Conclusion Our study found that immunosuppression occurs in patients early in sepsis. Early monitoring of the patient’s immune status may provide a timely warning of the disease. Sepsis (dpeaa)DE-He213 Immunocyte (dpeaa)DE-He213 Cytokines (dpeaa)DE-He213 T-cell activation (dpeaa)DE-He213 Immunosuppression (dpeaa)DE-He213 Song, Cong-Ying aut Wang, Ping aut Li, Li aut Lin, Li-Ying aut Jiang, Shuai aut Zhou, Jia-Ning aut Feng, Meng-Xiao aut Yang, Yun-Mei aut Lu, Yuan-Qiang aut Enthalten in Inflammation research Cham : Springer International Publishing AG, 1969 73(2023), 1 vom: 12. Dez., Seite 145-155 (DE-627)253724031 (DE-600)1459194-7 1420-908X nnns volume:73 year:2023 number:1 day:12 month:12 pages:145-155 https://dx.doi.org/10.1007/s00011-023-01825-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 73 2023 1 12 12 145-155 |
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10.1007/s00011-023-01825-w doi (DE-627)SPR05431786X (SPR)s00011-023-01825-w-e DE-627 ger DE-627 rakwb eng Lu, Xuan verfasserin aut The clinical trajectory of peripheral blood immune cell subsets, T-cell activation, and cytokines in septic patients 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Objective and design Changes in the immune status of patients with sepsis may have a major impact on their prognosis. Our research focused on changes in various immune cell subsets and T-cell activation during the progression of sepsis. Methods and subjects We collected data from 188 sepsis patients at the First Affiliated Hospital of Zhejiang University School of Medicine. The main focus was on the patient’s immunocyte subset typing, T-cell activation/Treg cell analysis, and cytokine assay, which can indicate the immune status of the patient. Results The study found that the number of $ CD4^{+} $ T cells, $ CD8^{+} $ T cells, NK cells, and B cells decreased early in the disease, and the decrease in $ CD4^{+} $ and $ CD8^{+} $ T cells was more pronounced in the death group. T lymphocyte activation was inhibited, and the number of Treg cells increased as the disease progressed. T lymphocyte inhibition was more significant in the death group, and the increase in IL-10 was more significant in the death group. Finally, we used patients’ baseline conditions and immunological detection indicators for modeling and found that IL-10, $ CD4^{+} $ Treg cells, $ CD3^{+} $HLA-$ DR^{+} $ T cells, and $ CD3^{+} %$ CD69^{+} $ T cells could predict patients’ prognosis well. Conclusion Our study found that immunosuppression occurs in patients early in sepsis. Early monitoring of the patient’s immune status may provide a timely warning of the disease. Sepsis (dpeaa)DE-He213 Immunocyte (dpeaa)DE-He213 Cytokines (dpeaa)DE-He213 T-cell activation (dpeaa)DE-He213 Immunosuppression (dpeaa)DE-He213 Song, Cong-Ying aut Wang, Ping aut Li, Li aut Lin, Li-Ying aut Jiang, Shuai aut Zhou, Jia-Ning aut Feng, Meng-Xiao aut Yang, Yun-Mei aut Lu, Yuan-Qiang aut Enthalten in Inflammation research Cham : Springer International Publishing AG, 1969 73(2023), 1 vom: 12. Dez., Seite 145-155 (DE-627)253724031 (DE-600)1459194-7 1420-908X nnns volume:73 year:2023 number:1 day:12 month:12 pages:145-155 https://dx.doi.org/10.1007/s00011-023-01825-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 73 2023 1 12 12 145-155 |
| allfieldsGer |
10.1007/s00011-023-01825-w doi (DE-627)SPR05431786X (SPR)s00011-023-01825-w-e DE-627 ger DE-627 rakwb eng Lu, Xuan verfasserin aut The clinical trajectory of peripheral blood immune cell subsets, T-cell activation, and cytokines in septic patients 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Objective and design Changes in the immune status of patients with sepsis may have a major impact on their prognosis. Our research focused on changes in various immune cell subsets and T-cell activation during the progression of sepsis. Methods and subjects We collected data from 188 sepsis patients at the First Affiliated Hospital of Zhejiang University School of Medicine. The main focus was on the patient’s immunocyte subset typing, T-cell activation/Treg cell analysis, and cytokine assay, which can indicate the immune status of the patient. Results The study found that the number of $ CD4^{+} $ T cells, $ CD8^{+} $ T cells, NK cells, and B cells decreased early in the disease, and the decrease in $ CD4^{+} $ and $ CD8^{+} $ T cells was more pronounced in the death group. T lymphocyte activation was inhibited, and the number of Treg cells increased as the disease progressed. T lymphocyte inhibition was more significant in the death group, and the increase in IL-10 was more significant in the death group. Finally, we used patients’ baseline conditions and immunological detection indicators for modeling and found that IL-10, $ CD4^{+} $ Treg cells, $ CD3^{+} $HLA-$ DR^{+} $ T cells, and $ CD3^{+} %$ CD69^{+} $ T cells could predict patients’ prognosis well. Conclusion Our study found that immunosuppression occurs in patients early in sepsis. Early monitoring of the patient’s immune status may provide a timely warning of the disease. Sepsis (dpeaa)DE-He213 Immunocyte (dpeaa)DE-He213 Cytokines (dpeaa)DE-He213 T-cell activation (dpeaa)DE-He213 Immunosuppression (dpeaa)DE-He213 Song, Cong-Ying aut Wang, Ping aut Li, Li aut Lin, Li-Ying aut Jiang, Shuai aut Zhou, Jia-Ning aut Feng, Meng-Xiao aut Yang, Yun-Mei aut Lu, Yuan-Qiang aut Enthalten in Inflammation research Cham : Springer International Publishing AG, 1969 73(2023), 1 vom: 12. Dez., Seite 145-155 (DE-627)253724031 (DE-600)1459194-7 1420-908X nnns volume:73 year:2023 number:1 day:12 month:12 pages:145-155 https://dx.doi.org/10.1007/s00011-023-01825-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 73 2023 1 12 12 145-155 |
| allfieldsSound |
10.1007/s00011-023-01825-w doi (DE-627)SPR05431786X (SPR)s00011-023-01825-w-e DE-627 ger DE-627 rakwb eng Lu, Xuan verfasserin aut The clinical trajectory of peripheral blood immune cell subsets, T-cell activation, and cytokines in septic patients 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Objective and design Changes in the immune status of patients with sepsis may have a major impact on their prognosis. Our research focused on changes in various immune cell subsets and T-cell activation during the progression of sepsis. Methods and subjects We collected data from 188 sepsis patients at the First Affiliated Hospital of Zhejiang University School of Medicine. The main focus was on the patient’s immunocyte subset typing, T-cell activation/Treg cell analysis, and cytokine assay, which can indicate the immune status of the patient. Results The study found that the number of $ CD4^{+} $ T cells, $ CD8^{+} $ T cells, NK cells, and B cells decreased early in the disease, and the decrease in $ CD4^{+} $ and $ CD8^{+} $ T cells was more pronounced in the death group. T lymphocyte activation was inhibited, and the number of Treg cells increased as the disease progressed. T lymphocyte inhibition was more significant in the death group, and the increase in IL-10 was more significant in the death group. Finally, we used patients’ baseline conditions and immunological detection indicators for modeling and found that IL-10, $ CD4^{+} $ Treg cells, $ CD3^{+} $HLA-$ DR^{+} $ T cells, and $ CD3^{+} %$ CD69^{+} $ T cells could predict patients’ prognosis well. Conclusion Our study found that immunosuppression occurs in patients early in sepsis. Early monitoring of the patient’s immune status may provide a timely warning of the disease. Sepsis (dpeaa)DE-He213 Immunocyte (dpeaa)DE-He213 Cytokines (dpeaa)DE-He213 T-cell activation (dpeaa)DE-He213 Immunosuppression (dpeaa)DE-He213 Song, Cong-Ying aut Wang, Ping aut Li, Li aut Lin, Li-Ying aut Jiang, Shuai aut Zhou, Jia-Ning aut Feng, Meng-Xiao aut Yang, Yun-Mei aut Lu, Yuan-Qiang aut Enthalten in Inflammation research Cham : Springer International Publishing AG, 1969 73(2023), 1 vom: 12. Dez., Seite 145-155 (DE-627)253724031 (DE-600)1459194-7 1420-908X nnns volume:73 year:2023 number:1 day:12 month:12 pages:145-155 https://dx.doi.org/10.1007/s00011-023-01825-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_267 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 73 2023 1 12 12 145-155 |
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Enthalten in Inflammation research 73(2023), 1 vom: 12. Dez., Seite 145-155 volume:73 year:2023 number:1 day:12 month:12 pages:145-155 |
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Enthalten in Inflammation research 73(2023), 1 vom: 12. Dez., Seite 145-155 volume:73 year:2023 number:1 day:12 month:12 pages:145-155 |
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Sepsis Immunocyte Cytokines T-cell activation Immunosuppression |
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Lu, Xuan @@aut@@ Song, Cong-Ying @@aut@@ Wang, Ping @@aut@@ Li, Li @@aut@@ Lin, Li-Ying @@aut@@ Jiang, Shuai @@aut@@ Zhou, Jia-Ning @@aut@@ Feng, Meng-Xiao @@aut@@ Yang, Yun-Mei @@aut@@ Lu, Yuan-Qiang @@aut@@ |
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Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Objective and design Changes in the immune status of patients with sepsis may have a major impact on their prognosis. Our research focused on changes in various immune cell subsets and T-cell activation during the progression of sepsis. Methods and subjects We collected data from 188 sepsis patients at the First Affiliated Hospital of Zhejiang University School of Medicine. The main focus was on the patient’s immunocyte subset typing, T-cell activation/Treg cell analysis, and cytokine assay, which can indicate the immune status of the patient. Results The study found that the number of $ CD4^{+} $ T cells, $ CD8^{+} $ T cells, NK cells, and B cells decreased early in the disease, and the decrease in $ CD4^{+} $ and $ CD8^{+} $ T cells was more pronounced in the death group. T lymphocyte activation was inhibited, and the number of Treg cells increased as the disease progressed. T lymphocyte inhibition was more significant in the death group, and the increase in IL-10 was more significant in the death group. Finally, we used patients’ baseline conditions and immunological detection indicators for modeling and found that IL-10, $ CD4^{+} $ Treg cells, $ CD3^{+} $HLA-$ DR^{+} $ T cells, and $ CD3^{+} %$ CD69^{+} $ T cells could predict patients’ prognosis well. Conclusion Our study found that immunosuppression occurs in patients early in sepsis. 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Lu, Xuan |
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Lu, Xuan misc Sepsis misc Immunocyte misc Cytokines misc T-cell activation misc Immunosuppression The clinical trajectory of peripheral blood immune cell subsets, T-cell activation, and cytokines in septic patients |
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The clinical trajectory of peripheral blood immune cell subsets, T-cell activation, and cytokines in septic patients Sepsis (dpeaa)DE-He213 Immunocyte (dpeaa)DE-He213 Cytokines (dpeaa)DE-He213 T-cell activation (dpeaa)DE-He213 Immunosuppression (dpeaa)DE-He213 |
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The clinical trajectory of peripheral blood immune cell subsets, T-cell activation, and cytokines in septic patients |
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Lu, Xuan Song, Cong-Ying Wang, Ping Li, Li Lin, Li-Ying Jiang, Shuai Zhou, Jia-Ning Feng, Meng-Xiao Yang, Yun-Mei Lu, Yuan-Qiang |
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clinical trajectory of peripheral blood immune cell subsets, t-cell activation, and cytokines in septic patients |
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The clinical trajectory of peripheral blood immune cell subsets, T-cell activation, and cytokines in septic patients |
| abstract |
Objective and design Changes in the immune status of patients with sepsis may have a major impact on their prognosis. Our research focused on changes in various immune cell subsets and T-cell activation during the progression of sepsis. Methods and subjects We collected data from 188 sepsis patients at the First Affiliated Hospital of Zhejiang University School of Medicine. The main focus was on the patient’s immunocyte subset typing, T-cell activation/Treg cell analysis, and cytokine assay, which can indicate the immune status of the patient. Results The study found that the number of $ CD4^{+} $ T cells, $ CD8^{+} $ T cells, NK cells, and B cells decreased early in the disease, and the decrease in $ CD4^{+} $ and $ CD8^{+} $ T cells was more pronounced in the death group. T lymphocyte activation was inhibited, and the number of Treg cells increased as the disease progressed. T lymphocyte inhibition was more significant in the death group, and the increase in IL-10 was more significant in the death group. Finally, we used patients’ baseline conditions and immunological detection indicators for modeling and found that IL-10, $ CD4^{+} $ Treg cells, $ CD3^{+} $HLA-$ DR^{+} $ T cells, and $ CD3^{+} %$ CD69^{+} $ T cells could predict patients’ prognosis well. Conclusion Our study found that immunosuppression occurs in patients early in sepsis. Early monitoring of the patient’s immune status may provide a timely warning of the disease. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstractGer |
Objective and design Changes in the immune status of patients with sepsis may have a major impact on their prognosis. Our research focused on changes in various immune cell subsets and T-cell activation during the progression of sepsis. Methods and subjects We collected data from 188 sepsis patients at the First Affiliated Hospital of Zhejiang University School of Medicine. The main focus was on the patient’s immunocyte subset typing, T-cell activation/Treg cell analysis, and cytokine assay, which can indicate the immune status of the patient. Results The study found that the number of $ CD4^{+} $ T cells, $ CD8^{+} $ T cells, NK cells, and B cells decreased early in the disease, and the decrease in $ CD4^{+} $ and $ CD8^{+} $ T cells was more pronounced in the death group. T lymphocyte activation was inhibited, and the number of Treg cells increased as the disease progressed. T lymphocyte inhibition was more significant in the death group, and the increase in IL-10 was more significant in the death group. Finally, we used patients’ baseline conditions and immunological detection indicators for modeling and found that IL-10, $ CD4^{+} $ Treg cells, $ CD3^{+} $HLA-$ DR^{+} $ T cells, and $ CD3^{+} %$ CD69^{+} $ T cells could predict patients’ prognosis well. Conclusion Our study found that immunosuppression occurs in patients early in sepsis. Early monitoring of the patient’s immune status may provide a timely warning of the disease. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
| abstract_unstemmed |
Objective and design Changes in the immune status of patients with sepsis may have a major impact on their prognosis. Our research focused on changes in various immune cell subsets and T-cell activation during the progression of sepsis. Methods and subjects We collected data from 188 sepsis patients at the First Affiliated Hospital of Zhejiang University School of Medicine. The main focus was on the patient’s immunocyte subset typing, T-cell activation/Treg cell analysis, and cytokine assay, which can indicate the immune status of the patient. Results The study found that the number of $ CD4^{+} $ T cells, $ CD8^{+} $ T cells, NK cells, and B cells decreased early in the disease, and the decrease in $ CD4^{+} $ and $ CD8^{+} $ T cells was more pronounced in the death group. T lymphocyte activation was inhibited, and the number of Treg cells increased as the disease progressed. T lymphocyte inhibition was more significant in the death group, and the increase in IL-10 was more significant in the death group. Finally, we used patients’ baseline conditions and immunological detection indicators for modeling and found that IL-10, $ CD4^{+} $ Treg cells, $ CD3^{+} $HLA-$ DR^{+} $ T cells, and $ CD3^{+} %$ CD69^{+} $ T cells could predict patients’ prognosis well. Conclusion Our study found that immunosuppression occurs in patients early in sepsis. Early monitoring of the patient’s immune status may provide a timely warning of the disease. © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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The clinical trajectory of peripheral blood immune cell subsets, T-cell activation, and cytokines in septic patients |
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https://dx.doi.org/10.1007/s00011-023-01825-w |
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Song, Cong-Ying Wang, Ping Li, Li Lin, Li-Ying Jiang, Shuai Zhou, Jia-Ning Feng, Meng-Xiao Yang, Yun-Mei Lu, Yuan-Qiang |
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Song, Cong-Ying Wang, Ping Li, Li Lin, Li-Ying Jiang, Shuai Zhou, Jia-Ning Feng, Meng-Xiao Yang, Yun-Mei Lu, Yuan-Qiang |
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10.1007/s00011-023-01825-w |
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2024-07-04T01:02:14.019Z |
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| score |
7.3985004 |