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Kado A, Tsutsumi T, Yotsuyanagi H, Ikeuchi K, Okushin K, Moriya K, Koike K, Fujishiro M. Differential peripheral memory T cell subsets sensitively indicate the severity of nonalcoholic fatty liver disease. Hepatol Res 2024; 54:525-539. [PMID: 38157267 DOI: 10.1111/hepr.14009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/14/2023] [Revised: 12/19/2023] [Accepted: 12/23/2023] [Indexed: 01/03/2024]
Abstract
AIM Differential patterns of peripheral memory T cell subsets in nonalcoholic fatty liver disease (NAFLD) were assessed using flow cytometry (FCM) to elucidate their association with NAFLD severity and provide a new noninvasive method to sensitively detect the disease severity in addition to existing biomarkers. METHODS We assessed the differential frequencies of peripheral memory T cell subsets in 103 patients with NAFLD according to the degree of liver fibrosis (FIB) using FCM analysis. We focused on the following populations: CCR7+ CD45RA+ naïve T, CCR7+ CD45RA- central memory T cells (TCM), CCR7- CD45RA- effector memory T, and CCR7- CD45RA+ terminally differentiated effector memory T (TEMRA) cells in CD4+ and CD8+ T, Th1, Th2, and Th17 cells, respectively. To evaluate the pathological progression of the disease, these frequencies were also examined according to the degree of the NAFLD activity score (NAS). RESULTS Several significant correlations were observed between laboratory parameters and peripheral memory T lymphocyte frequencies according to the degree of liver FIB and NAS in NAFLD. In univariate and multivariate analyses, the frequency of CD8+ TEMRA cells predicted severe FIB, and the predictive power was validated in an independent cohort. Furthermore, the frequencies of several memory T cell subsets sensitively indicated the pathological progression of NAFLD (Th17 TCM: steatosis, CD4+ TCM: lobular inflammation, and CD8+ TEMRA and effector memory T cells: hepatocellular ballooning). CONCLUSIONS Our results suggest that the analysis of peripheral memory T lymphocyte frequencies can noninvasively predict severe FIB and sensitively indicate the pathological progression of NAFLD.
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Affiliation(s)
- Akira Kado
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Division for Health Service Promotion, The University of Tokyo, Tokyo, Japan
| | - Takeya Tsutsumi
- Department of Infection Control and Prevention, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Infectious Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Hiroshi Yotsuyanagi
- Division of Infectious Diseases, Advanced Clinical Research Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Kazuhiko Ikeuchi
- Department of Infectious Diseases, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kazuya Okushin
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Infection Control and Prevention, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
| | - Kyoji Moriya
- Division of Infection Control and Prevention, Education Research Center, The Tokyo Health Care University, Tokyo, Japan
| | - Kazuhiko Koike
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
- Department of Gastroenterology, Kanto Central Hospital, Tokyo, Japan
| | - Mitsuhiro Fujishiro
- Department of Gastroenterology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan
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de Morais IRB, Barbosa DDO, de Almeida GB, da Costa RR, da Silva BO, de Oliveira LA, Arantes JP, Leite LOC, Rossato L, Ribeiro MB, Marchioro SB, Freire SM, Nascimento RJM, Simionatto S, Torres AJL. Determining reference ranges for immunological cells of healthy indigenous individuals from a region in Brazil. EINSTEIN-SAO PAULO 2023; 21:eAO0291. [PMID: 37878969 PMCID: PMC10567104 DOI: 10.31744/einstein_journal/2023ao0291] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Accepted: 04/16/2023] [Indexed: 10/27/2023] Open
Abstract
Morais et al. conducted a pioneering study with Brazilian indigenous populations to determine reference values for immunologic cells from healthy adult individuals. The main findings included a higher relative median for T lymphocyte subsets in females than males, and T CD3+, T CD4+, and T CD8+ relative values were statistically different when compared with Brazilian populations from other Brazilian regions. The relative medians of CD3+, CD4+, and CD8+ T cells were significantly higher in women than in men in a healthy indigenous population. Demographic and ethnic diversity of the Brazilian population can be associated with quantitative modifications in the immunologic cells of healthy individuals. OBJECTIVE The establishment of reference values for a subset of leukocytes is common in clinical practice, and ethnic variations are strongly associated with disease development. In Brazil, indigenous people are vulnerable to infections, and few studies have described the health and disease conditions of this population. This study aimed to provide reference values for immunological cell subsets in indigenous Brazilians living in the state of Mato Grosso do Sul. METHODS Flow cytometry and 4-color combinations of monoclonal antibodies were used to characterize cells. A total of 115 healthy adults, mostly females (72%), were included in the study. The results are presented as mean and median (2.5%-97.5% percentiles) for T and B lymphocytes, CD4+ T cells, CD8+ T cells, Natural Killer cells, monocytes, and dendritic cells, providing an average immunological profile for the population in question. RESULTS The relative medians of CD3+, CD4+, and CD8+ T cells were significantly higher in women than in men in a healthy indigenous population. CONCLUSION To our knowledge, cell reference data from indigenous Brazilians are unknown in the literature. The immune cell results presented in this pioneering study will contribute to the clinical and laboratory evaluation of the Brazilian indigenous population, especially given the important differences when compared with other Brazilian ethnic groups.
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Affiliation(s)
- Isa Rita Brito de Morais
- Universidade Federal da BahiaSalvadorBABrazil Universidade Federal da Bahia , Salvador , BA , Brazil .
| | | | | | - Regina Rossoni da Costa
- Universidade Federal da Grande DouradosDouradosMSBrazil Universidade Federal da Grande Dourados , Dourados , MS , Brazil .
| | - Bruna Oliveira da Silva
- Universidade Federal da Grande DouradosDouradosMSBrazil Universidade Federal da Grande Dourados , Dourados , MS , Brazil .
| | - Laís Albuquerque de Oliveira
- Universidade Federal da Grande DouradosDouradosMSBrazil Universidade Federal da Grande Dourados , Dourados , MS , Brazil .
| | - Julia Pimentel Arantes
- Universidade Federal da Grande DouradosDouradosMSBrazil Universidade Federal da Grande Dourados , Dourados , MS , Brazil .
| | - Layla Oliveira Campos Leite
- Universidade Federal da Grande DouradosDouradosMSBrazil Universidade Federal da Grande Dourados , Dourados , MS , Brazil .
| | - Luana Rossato
- Universidade Federal da Grande DouradosDouradosMSBrazil Universidade Federal da Grande Dourados , Dourados , MS , Brazil .
| | - Marcos Borges Ribeiro
- Universidade Federal da BahiaSalvadorBABrazil Universidade Federal da Bahia , Salvador , BA , Brazil .
| | | | - Songelí Menezes Freire
- Universidade Federal da BahiaSalvadorBABrazil Universidade Federal da Bahia , Salvador , BA , Brazil .
| | | | - Simone Simionatto
- Universidade Federal da BahiaSalvadorBABrazil Universidade Federal da Bahia , Salvador , BA , Brazil .
| | - Alex José Leite Torres
- Universidade Federal da BahiaSalvadorBABrazil Universidade Federal da Bahia , Salvador , BA , Brazil .
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Chen M, Ma L, Yu H, Huang S, Zhang J, Gong J, Yang L, Chen L, Luo H, Tian L, Wang S. JK5G postbiotics attenuate immune-related adverse events in NSCLC patients by regulating gut microbiota: a randomized controlled trial in China. Front Oncol 2023; 13:1155592. [PMID: 37601658 PMCID: PMC10436471 DOI: 10.3389/fonc.2023.1155592] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 07/19/2023] [Indexed: 08/22/2023] Open
Abstract
Scope This study aimed to evaluate the effects of JK5G postbiotics to regulate imbalanced gut microbiota and its impacts on the efficacy and incidence rate of immune-related adverse events (irAEs) in non-small-cell lung cancer (NSCLC) patients treated with immune checkpoint inhibitors (ICIs). Methods This randomized, double-blind, placebo-controlled trial was conducted in China and included non-squamous or squamous NSCLC patients without EGFR, ROS1, and ALK alteration, treatment-naive, and stage IIIb-IV. Patients were randomly (1:1) divided into two groups to receive four cycles (three weeks for each cycle) of programmed cell death-1 (PD-1) plus chemotherapy plus placebo (control group, n = 30) or to receive PD-1 plus chemotherapy plus JK5G postbiotics (JK5G group, n = 30). The primary endpoint was objective response rate. The secondary endpoints were quality of life (QoL), adverse effects, and the 16S DNA sequencing of gut microbiota, blood inflammatory cytokines, and lymphocyte subsets. This study was registered at www.chictr.org.cn (ChiCTR2200064690). Results Sixty patients were enrolled. The objective response rate was 36.67% (11/30) in the control group and 50.00% (15/30) in the JK5G group (p = 0.297). The JK5G group had better QoL and nutritional levels, as well as lower depression symptoms than the control group (all p < 0.05). Moreover, the JK5G group had a lower incidence of anemia (63.33% vs. 13.33%, p < 0.001), decreased lymphocyte count (20.00% vs. 0%, p = 0.010), decreased appetite (53.33% vs. 16.67%, p = 0.003), nausea (33.33% vs. 6.67%, p = 0.010), and asthenia (30.00% vs. 6.67%, p = 0.017) than the control group. Moreover, JK5G attenuated gut microbiota imbalance, accompanied by increased Faecalibacterium, Ruminococcaceae, and fecal butyrate concentration, and diminished Escherichia-Shigella. Furthermore, JK5G administration significantly decreased the levels of pro-inflammatory markers, including TNF-α, IL-2, and C-reactive protein (CRP) (all p < 0.05). Significant increases in CD3+CD4+ T cells and CD4/CD8 ratio were observed in the peripheral blood of JK5G group patients (all p < 0.05). The enterotype data showed that patients were clustered into Blautia (E1) and Escherichia-Shigella (E2) enterotypes, and JK5G postbiotics intervention might be related to enterotype modulations. Conclusion Our current findings indicated that JK5G postbiotics might attenuate irAEs, and enhance the QoL and nutrition levels of advanced NSCLC patients who received ICIs. JK5G postbiotics could also improve the gut microbiota structures and ameliorate the tumor microenvironment and inflammation. Clinical trial registration www.chictr.org.cn, identifier ChiCTR2200064690.
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Affiliation(s)
- Mengting Chen
- Department of Clinical Nutrition, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Liling Ma
- Department of Geriatric Oncology and Department of Palliative Care, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Huiqing Yu
- Department of Clinical Nutrition, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
- Department of Geriatric Oncology and Department of Palliative Care, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Shaoyi Huang
- Department of Geriatric Oncology and Department of Palliative Care, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Junhui Zhang
- Department of Geriatric Oncology and Department of Palliative Care, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Juan Gong
- Department of Geriatric Oncology and Department of Palliative Care, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Liejun Yang
- Department of Geriatric Oncology and Department of Palliative Care, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Lan Chen
- Department of Geriatric Oncology and Department of Palliative Care, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Haojun Luo
- Department of Geriatric Oncology and Department of Palliative Care, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Ling Tian
- Department of Geriatric Oncology and Department of Palliative Care, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
| | - Sixiong Wang
- Department of Geriatric Oncology and Department of Palliative Care, Chongqing University Cancer Hospital, School of Medicine, Chongqing University, Chongqing, China
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Jia Z, Ren Z, Ye D, Li J, Xu Y, Liu H, Meng Z, Yang C, Chen X, Mao X, Luo X, Yang Z, Ma L, Deng A, Li Y, Han B, Wei J, Huang C, Xiang Z, Chen G, Li P, Ouyang J, Chen P, Luo OJ, Gao Y, Yin Z. Immune-Ageing Evaluation of Peripheral T and NK Lymphocyte Subsets in Chinese Healthy Adults. PHENOMICS (CHAM, SWITZERLAND) 2023; 3:360-374. [PMID: 37589027 PMCID: PMC10425318 DOI: 10.1007/s43657-023-00106-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 05/22/2022] [Revised: 03/16/2023] [Accepted: 03/23/2023] [Indexed: 08/18/2023]
Abstract
Ageing is often accompanied with a decline in immune system function, resulting in immune ageing. Numerous studies have focussed on the changes in different lymphocyte subsets in diseases and immunosenescence. The change in immune phenotype is a key indication of the diseased or healthy status. However, the changes in lymphocyte number and phenotype brought about by ageing have not been comprehensively analysed. Here, we analysed T and natural killer (NK) cell subsets, the phenotype and cell differentiation states in 43,096 healthy individuals, aged 20-88 years, without known diseases. Thirty-six immune parameters were analysed and the reference ranges of these subsets were established in different age groups divided into 5-year intervals. The data were subjected to random forest machine learning for immune-ageing modelling and confirmed using the neural network analysis. Our initial analysis and machine modelling prediction showed that naïve T cells decreased with ageing, whereas central memory T cells (Tcm) and effector memory T cells (Tem) increased cluster of differentiation (CD) 28-associated T cells. This is the largest study to investigate the correlation between age and immune cell function in a Chinese population, and provides insightful differences, suggesting that healthy adults might be considerably influenced by age and sex. The age of a person's immune system might be different from their chronological age. Our immune-ageing modelling study is one of the largest studies to provide insights into 'immune-age' rather than 'biological-age'. Through machine learning, we identified immune factors influencing the most through ageing and built a model for immune-ageing prediction. Our research not only reveals the impact of age on immune parameter differences within the Chinese population, but also provides new insights for monitoring and preventing some diseases in clinical practice. Supplementary Information The online version contains supplementary material available at 10.1007/s43657-023-00106-0.
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Affiliation(s)
- Zhenghu Jia
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated With Jinan University, Jinan University, Zhuhai, 519000 Guangdong China
- The Biomedical Translational Research Institute, Health Science Center (School of Medicine), Jinan University, Guangzhou, 510632 Guangdong China
- Guangzhou Purui Biotechnology Co., Ltd., Guangzhou, 510660 Guangdong China
| | - Zhiyao Ren
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632 Guangdong China
- Guangzhou Geriatric Hospital, Guangzhou, 510550 Guangdong China
| | - Dongmei Ye
- Organ Transplantation Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080 Guangdong China
| | - Jiawei Li
- Guangzhou Purui Biotechnology Co., Ltd., Guangzhou, 510660 Guangdong China
| | - Yan Xu
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated With Jinan University, Jinan University, Zhuhai, 519000 Guangdong China
- The Biomedical Translational Research Institute, Health Science Center (School of Medicine), Jinan University, Guangzhou, 510632 Guangdong China
| | - Hui Liu
- Emergency Department, The First Affiliated Hospital of Jinan University, Jinan University, Guangzhou, 510632 Guangdong China
| | - Ziyu Meng
- NHC Key Laboratory of Hormones and Development, Tianjin Key Laboratory of Metabolic Diseases, Chu Hsien-I Memorial Hospital, Tianjin Medical University, Tianjin, 300134 China
- Tianjin Institute of Endocrinology, Tianjin Medical University, Tianjin, 300134 China
| | - Chengmao Yang
- Guangzhou Purui Biotechnology Co., Ltd., Guangzhou, 510660 Guangdong China
| | - Xiaqi Chen
- Zhongke Regenerative Medicine Technology Co., Ltd, Dongguan, 523808 Guangdong China
| | - Xinru Mao
- Wuhan Purui Medical Laboratory Co., Ltd, Wuhan, 430223 Hubei China
| | - Xueli Luo
- Wuhan Purui Medical Laboratory Co., Ltd, Wuhan, 430223 Hubei China
| | - Zhe Yang
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated With Jinan University, Jinan University, Zhuhai, 519000 Guangdong China
- The Biomedical Translational Research Institute, Health Science Center (School of Medicine), Jinan University, Guangzhou, 510632 Guangdong China
| | - Lina Ma
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated With Jinan University, Jinan University, Zhuhai, 519000 Guangdong China
- The Biomedical Translational Research Institute, Health Science Center (School of Medicine), Jinan University, Guangzhou, 510632 Guangdong China
| | - Anyi Deng
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated With Jinan University, Jinan University, Zhuhai, 519000 Guangdong China
- The Biomedical Translational Research Institute, Health Science Center (School of Medicine), Jinan University, Guangzhou, 510632 Guangdong China
| | - Yafang Li
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated With Jinan University, Jinan University, Zhuhai, 519000 Guangdong China
- The Biomedical Translational Research Institute, Health Science Center (School of Medicine), Jinan University, Guangzhou, 510632 Guangdong China
| | - Bingyu Han
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated With Jinan University, Jinan University, Zhuhai, 519000 Guangdong China
- The Biomedical Translational Research Institute, Health Science Center (School of Medicine), Jinan University, Guangzhou, 510632 Guangdong China
| | - Junping Wei
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated With Jinan University, Jinan University, Zhuhai, 519000 Guangdong China
- The Biomedical Translational Research Institute, Health Science Center (School of Medicine), Jinan University, Guangzhou, 510632 Guangdong China
| | - Chongcheng Huang
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated With Jinan University, Jinan University, Zhuhai, 519000 Guangdong China
- The Biomedical Translational Research Institute, Health Science Center (School of Medicine), Jinan University, Guangzhou, 510632 Guangdong China
| | - Zheng Xiang
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated With Jinan University, Jinan University, Zhuhai, 519000 Guangdong China
- The Biomedical Translational Research Institute, Health Science Center (School of Medicine), Jinan University, Guangzhou, 510632 Guangdong China
| | - Guobing Chen
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632 Guangdong China
| | - Peiling Li
- Organ Transplantation Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080 Guangdong China
| | - Juan Ouyang
- Wuhan Purui Medical Laboratory Co., Ltd, Wuhan, 430223 Hubei China
| | - Peisong Chen
- Department of Clinical Laboratory, Department of Laboratory Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510080 Guangdong China
| | - Oscar Junhong Luo
- Department of Systems Biomedical Sciences, School of Medicine, Jinan University, Guangzhou, 510632 Guangdong China
| | - Yifang Gao
- Organ Transplantation Center, The First Affiliated Hospital, Sun Yat-sen University, Guangzhou, 510080 Guangdong China
| | - Zhinan Yin
- Guangdong Provincial Key Laboratory of Tumor Interventional Diagnosis and Treatment, Zhuhai Institute of Translational Medicine Zhuhai People’s Hospital Affiliated With Jinan University, Jinan University, Zhuhai, 519000 Guangdong China
- The Biomedical Translational Research Institute, Health Science Center (School of Medicine), Jinan University, Guangzhou, 510632 Guangdong China
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Gong Z, Gao R, Ba L, Liu Y, Hou H, Zhang M. The Peripheral Immune Traits Changed in Patients with Multiple System Atrophy. Brain Sci 2023; 13:brainsci13020205. [PMID: 36831748 PMCID: PMC9953988 DOI: 10.3390/brainsci13020205] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 01/11/2023] [Accepted: 01/18/2023] [Indexed: 01/28/2023] Open
Abstract
A growing body of evidence suggests immune involvement in the pathology of multiple system atrophy (MSA). Research on detailed peripheral immune indices, however, is relatively sparse, and is one of the intriguing aspects of MSA yet to be elucidated. A total of 26 MSA patients and 56 age-and sex-matched healthy controls (HC) were enrolled in the current case-control study to delineate the peripheral immune traits of MSA patients. The ratio of CD4+/CD8+ T cells, natural killer cells, CD28 expression on both CD4+ T cells and CD8+ T cells increased in MSA patients compared to HC, but CD8+ T cells and active marker (HLA-DR) expression on total T cells decreased (p < 0.05). This study sheds light on the dysregulation of cellular immunity in MSA, pointing to future mechanistic research.
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Affiliation(s)
- Zhenxiang Gong
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Rong Gao
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Li Ba
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Yang Liu
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
| | - Hongyan Hou
- Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Correspondence: (H.H.); (M.Z.)
| | - Min Zhang
- Department of Neurology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, China
- Correspondence: (H.H.); (M.Z.)
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Mass Cytometry Reveals the Imbalanced Immune State in the Peripheral Blood of Patients with Essential Hypertension. Cardiovasc Ther 2023; 2023:9915178. [PMID: 36891527 PMCID: PMC9988372 DOI: 10.1155/2023/9915178] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/07/2023] [Revised: 01/26/2023] [Accepted: 01/27/2023] [Indexed: 03/02/2023] Open
Abstract
Mounting evidence has confirmed that essential hypertension (EH) is closely related to low-grade inflammation, but there is still a lack of in-depth understanding of the state of immune cells in the circulating blood of patients with EH. We analyzed whether hypertensive peripheral blood immune cell balance was destroyed. The peripheral blood mononuclear cells (PBMCs) of all subjects were analyzed using time-of-flight cytometry (CyTOF) based on 42 kinds of metal-binding antibodies. CD45+ cells were categorized into 32 kinds of subsets. Compared with the health control (HC) group, the percentage of total dendritic cells, two kinds of myeloid dendritic cell subsets, one intermediate/nonclassical monocyte subset and one CD4+ central memory T cell subset in the EH group, was significantly higher; the percentage of low-density neutrophils, four kinds of classical monocyte subsets, one CD14lowCD16- monocyte subset, one naive CD4+ and one naive CD8+ T cell subsets, one CD4+ effector and one CD4+ central memory T cell subsets, one CD8+ effector memory T cell subset, and one terminally differentiated γδ T cell subset, decreased significantly in EH. What is more, the expression of many important antigens was enhanced in CD45+ immune cells, granulocytes, and B cells in patients with EH. In conclusion, the altered number and antigen expression of immune cells reflect the imbalanced immune state of the peripheral blood in patients with EH.
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Exponential Slope from Absolute Lymphocyte Counts during Radio-Chemotherapy Can Predict an Aggressive Course of Cervical Cancer. Cancers (Basel) 2022; 14:cancers14205109. [PMID: 36291893 PMCID: PMC9600990 DOI: 10.3390/cancers14205109] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2022] [Revised: 10/13/2022] [Accepted: 10/16/2022] [Indexed: 11/24/2022] Open
Abstract
This study aimed to investigate whether the exponential slope α from absolute lymphocyte counts during concurrent radio−chemotherapy (CRT) is associated with aggressive and non-aggressive courses of cervical cancer. We analyzed 362 patients with stage IB−IVB cervical cancer treated with CRT in two groups: 323 patients without mRNA data (cohort 1) and 39 with mRNA data (cohort 2) from plasma exosomes. We calculated the α of each patient; 69 patients who died of cancer in cohort 1 were divided into 44 who died within 30 months (aggressive group), and 25 who died after more than 30 months (non-aggressive group). The median follow-up periods of cohorts 1 and 2 were 63 and 28 months, respectively. The log2 fold change (log2FC) between read counts of mRNAs before treatment and after the second week of CRT was calculated. Multivariate analyses from cohort 1 showed that neutrophil-to-lymphocyte ratio (NLR) ≥ 2.43 and α < 0.08 were statistically significant predictors of disease-specific survival (DSS) in the aggressive group (DSS-A), whereas α ≥ 0.08 was the only significant predictor of DSS in the non-aggressive group (DSS-NA). The 2.5-year DSS-A and 8-year DSS-NA rates of patients with α ≥ 0.08 and α < 0.08 were 86.7% and 73%, and 78.5% and 94.8% in the high-NLR group, respectively. In cohort 2, patients with both NLR < 2.7 and α ≥ 0.07 had a higher 2.5-year DSS rate than did those with either NLR ≥ 2.72 or α < 0.07. E2F8 and STX6 significantly correlated with ɑ and survival. The 2.5-year DSS rates in patients with E2F8 + STX6 (log2FC) < 0.2429 and ≥0.2429 were 100% and 77.2%, respectively. The exponential slope α can potentially distinguish between aggressive and non-aggressive courses in cervical cancer patients.
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Zhang G, Liu A, Yang Y, Xia Y, Li W, Liu Y, Zhang J, Cui Q, Wang D, Liu X, Guo Y, Chen H, Yu J. Clinical predictive value of naïve and memory T cells in advanced NSCLC. Front Immunol 2022; 13:996348. [PMID: 36119064 PMCID: PMC9478592 DOI: 10.3389/fimmu.2022.996348] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Accepted: 08/16/2022] [Indexed: 11/13/2022] Open
Abstract
Currently, there is no sensitive prognostic biomarker to screen out benefit patients from the non-benefit population in advanced non-small cell lung cancer patients (aNSCLCs). The 435 aNSCLCs and 278 normal controls (NCs) were recruited. The percentages and absolute counts (AC) of circulating naïve and memory T lymphocytes of CD4+ and CD8+ T cells (Tn/Tm) were measured by flow cytometry. The percentage of CD4+ naïve T (Tn), CD8+ Tn, CD8+ T memory stem cell (Tscm), and CD8+ terminal effector T cell decreased obviously. Still, all AC of Tn/Tm of aNSCLCs was significantly lower compared to NCs. Higher AC and percentage of CD4+ Tn, CD8+ Tn, and CD4+ Tscm showed markedly longer median PFS in aNSCLCs. Statistics demonstrated the AC of CD4+ Tn (≥ 3.7 cells/μL) was an independent protective factor for PFS. The analysis of the prognosis of immunotherapy showed the higher AC and percentage of CD4+ Tn and CD4+ Tscm and higher AC of CD8+ Tscm had significantly longer median PFS and the AC of CD4+ Tn (≥ 5.5 cells/μL) was an independent protective factor for PFS. Moreover, higher AC and percentages of Tn/Tm suggested higher disease control rate and lower progressive disease rate. The AC of Tn/Tm showed more regular patterns of impairment and was more relative with the disease progression than percentages in aNSCLCs. AC had a better predictive value than percentages in Tn/Tm for PFS. Notably, the AC of CD4+ Tn was a potential prognostic biomarker for the PFS and efficacy of immunotherapy.
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Affiliation(s)
- Guan Zhang
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Aqing Liu
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Yanjie Yang
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Ying Xia
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Wentao Li
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yunhe Liu
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jing Zhang
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Qian Cui
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Dong Wang
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- National Clinical Research Center for Chinese Medicine Acupuncture and Moxibustion, Tianjin, China
| | - Xu Liu
- Clinic Laboratory, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Yongtie Guo
- Clinic Laboratory, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Huayu Chen
- Clinic Laboratory, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Jianchun Yu
- Department of Oncology, First Teaching Hospital of Tianjin University of Traditional Chinese Medicine, Tianjin University of Traditional Chinese Medicine, Tianjin, China
- *Correspondence: Jianchun Yu,
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