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Zhanbo Q, Jing Z, Shugao H, Yinhang W, Jian C, Xiang Y, Feimin Z, Jian L, Xinyue W, Wei W, Shuwen H. Age and aging process alter the gut microbes. Aging (Albany NY) 2024; 16:205728. [PMID: 38613799 DOI: 10.18632/aging.205728] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 03/05/2024] [Indexed: 04/15/2024]
Abstract
BACKGROUND Gut microbes and age are both factors that influence the development of disease. The community structure of gut microbes is affected by age. OBJECTIVE To plot time-dependent gut microbe profiles in individuals over 45 years old and explore the correlation between age and gut microbes. METHODS Fecal samples were collected from 510 healthy individuals over 45 years old. Shannon index, Simpson index, Ace index, etc. were used to analyze the diversity of gut microbes. The beta diversity analysis, including non-metric multidimensional scaling (NMDS), was used to analyze community distribution. Linear discriminant analysis (LDA) and random forest (RF) algorithm were used to analyze the differences of gut microbes. Trend analysis was used to plot the abundances of characteristic gut microbes in different ages. RESULTS The individuals aged 45-49 had the highest richness of gut bacteria. Fifteen characteristic gut microbes, including Siphoviridae and Bifidobacterium breve, were screened by RF algorithm. The abundance of Ligiactobacillus and Microviridae were higher in individuals older than 65 years. Moreover, the abundance of Blautia_A massiliensis, Lubbockvirus and Enterocloster clostridioformis decreased with age and the abundance of Klebsiella variicola and Prevotella increased with age. The functional genes, such as human diseases and aging, were significantly different among different aged individuals. CONCLUSIONS The individuals in different ages have characteristic gut microbes. The changes in community structure of gut microbes may be related to age-induced diseases.
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Affiliation(s)
- Qu Zhanbo
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou 313000, Zhejiang, China
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou 313000, Zhejiang, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou 313000, Zhejiang, China
| | - Zhuang Jing
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou 313000, Zhejiang, China
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou 313000, Zhejiang, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou 313000, Zhejiang, China
| | - Han Shugao
- The Second Hospital Affiliated to Zhejiang University School of Medicine, Hangzhou 310017, Zhejiang, China
| | - Wu Yinhang
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou 313000, Zhejiang, China
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou 313000, Zhejiang, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou 313000, Zhejiang, China
| | - Chu Jian
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou 313000, Zhejiang, China
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou 313000, Zhejiang, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou 313000, Zhejiang, China
| | - Yu Xiang
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou 313000, Zhejiang, China
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou 313000, Zhejiang, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou 313000, Zhejiang, China
| | - Zhao Feimin
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou 313000, Zhejiang, China
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou 313000, Zhejiang, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou 313000, Zhejiang, China
| | - Liu Jian
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou 313000, Zhejiang, China
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou 313000, Zhejiang, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou 313000, Zhejiang, China
| | - Wu Xinyue
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou 313000, Zhejiang, China
| | - Wu Wei
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou 313000, Zhejiang, China
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou 313000, Zhejiang, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou 313000, Zhejiang, China
| | - Han Shuwen
- Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou 313000, Zhejiang, China
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou 313000, Zhejiang, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou 313000, Zhejiang, China
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Xuekai L, Yan S, Jian C, Yifei S, Xinyue W, Wenyuan Z, Shuwen H, Xi Y. Advances in reprogramming of energy metabolism in tumor T cells. Front Immunol 2024; 15:1347181. [PMID: 38415258 PMCID: PMC10897011 DOI: 10.3389/fimmu.2024.1347181] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 01/29/2024] [Indexed: 02/29/2024] Open
Abstract
Cancer is a leading cause of human death worldwide, and the modulation of the metabolic properties of T cells employed in cancer immunotherapy holds great promise for combating cancer. As a crucial factor, energy metabolism influences the activation, proliferation, and function of T cells, and thus metabolic reprogramming of T cells is a unique research perspective in cancer immunology. Special conditions within the tumor microenvironment and high-energy demands lead to alterations in the energy metabolism of T cells. In-depth research on the reprogramming of energy metabolism in T cells can reveal the mechanisms underlying tumor immune tolerance and provide important clues for the development of new tumor immunotherapy strategies as well. Therefore, the study of T cell energy metabolism has important clinical significance and potential applications. In the study, the current achievements in the reprogramming of T cell energy metabolism were reviewed. Then, the influencing factors associated with T cell energy metabolism were introduced. In addition, T cell energy metabolism in cancer immunotherapy was summarized, which highlighted its potential significance in enhancing T cell function and therapeutic outcomes. In summary, energy exhaustion of T cells leads to functional exhaustion, thus resulting in immune evasion by cancer cells. A better understanding of reprogramming of T cell energy metabolism may enable immunotherapy to combat cancer and holds promise for optimizing and enhancing existing therapeutic approaches.
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Affiliation(s)
- Liu Xuekai
- Department of Clinical Laboratory, Aerospace Center Hospital, Beijing, China
| | - Song Yan
- Department of Clinical Laboratory, Aerospace Center Hospital, Beijing, China
| | - Chu Jian
- Department of Medical Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China
- Department of Gastroenterology, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou, China
- Department of Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou, China
| | - Song Yifei
- Department of Medical Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China
- Department of Gastroenterology, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou, China
- Department of Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou, China
| | - Wu Xinyue
- Department of Medical Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China
- Department of Gastroenterology, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou, China
- Department of Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou, China
| | - Zhang Wenyuan
- Department of Gynecology, Heyuan Hospital of Traditional Chinese Medicine, Heyuan, China
| | - Han Shuwen
- Department of Medical Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China
- Department of Gastroenterology, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou, China
- Department of Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou, China
| | - Yang Xi
- Department of Medical Oncology, Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou, China
- Department of Gastroenterology, Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou, China
- Department of Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer, Huzhou, China
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Yinhang W, Jing Z, Jie Z, Yin J, Xinyue W, Yifei S, Zhiqing F, Wei W, Shuwen H. Prediction model of colorectal cancer (CRC) lymph node metastasis based on intestinal bacteria. Clin Transl Oncol 2023; 25:1661-1672. [PMID: 36633831 DOI: 10.1007/s12094-022-03061-w] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/26/2022] [Accepted: 12/21/2022] [Indexed: 01/13/2023]
Abstract
BACKGROUND Lymph node metastasis is the main metastatic mode of CRC. Lymph node metastasis affects patient prognosis. OBJECTIVE To screen differential intestinal bacteria for CRC lymph node metastasis and construct a prediction model. METHODS First, fecal samples of 119 CRC patients with lymph node metastasis and 110 CRC patients without lymph node metastasis were included for the detection of intestinal bacterial 16S rRNA. Then, bioinformatics analysis of the sequencing data was performed. Community structure and composition analysis, difference analysis, and intragroup and intergroup correlation analysis were conducted between the two groups. Finally, six machine learning models were used to construct a prediction model for CRC lymph node metastasis. RESULTS The community richness and the community diversity at the genus level of the two groups were basically consistent. A total of 12 differential bacteria (Agathobacter, Catenibacterium, norank_f__Oscillospiraceae, Lachnospiraceae_FCS020_group, Lachnospiraceae_UCG-004, etc.) were screened at the genus level. Differential bacteria, such as Agathobacter, Catenibacterium, norank_f__Oscillospiraceae, and Lachnospiraceae_FCS020_group, were more associated with no lymph node metastasis in CRC. In the discovery set, the RF model had the highest prediction accuracy (AUC = 1.00, 98.89% correct, specificity = 55.21%, sensitivity = 55.95%). In the test set, SVM model had the highest prediction accuracy (AUC = 0.73, 72.92% correct, specificity = 69.23%, sensitivity = 88.89%). Lachnospiraceae_FCS020_group was the most important variable in the RF model. Lachnospiraceae_UCG - 004 was the most important variable in the SVM model. CONCLUSION CRC lymph node metastasis is closely related to intestinal bacteria. The prediction model based on intestinal bacteria can provide a new evaluation method for CRC lymph node metastasis.
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Affiliation(s)
- Wu Yinhang
- The Second School of Clinical Medicine, Zhejiang Chinese Medical University, No. 548 Binwen Road, Binjiang District, Hangzhou, 310053, Zhejiang Province, China
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of Huzhou, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China
| | - Zhuang Jing
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of Huzhou, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China
| | - Zhou Jie
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China
| | - Jin Yin
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of Huzhou, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China
| | - Wu Xinyue
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China
| | - Song Yifei
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China
| | - Fan Zhiqing
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China
| | - Wu Wei
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China.
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of Huzhou, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China.
| | - Han Shuwen
- Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China.
- Key Laboratory of Multiomics Research and Clinical Transformation of Digestive Cancer of Huzhou, No. 1558, Sanhuan North Road, Wuxing District, Huzhou, 313000, Zhejiang Province, China.
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