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Mishra S, Tejesvi MV, Hekkala J, Turunen J, Kandikanti N, Kaisanlahti A, Suokas M, Leppä S, Vihinen P, Kuitunen H, Sunela K, Koivunen J, Jukkola A, Kalashnikov I, Auvinen P, Kääriäinen OS, Peñate Medina T, Peñate Medina O, Saarnio J, Meriläinen S, Rautio T, Aro R, Häivälä R, Suojanen J, Laine M, Erawijattari PP, Lahti L, Karihtala P, Ruuska TS, Reunanen J. Gut microbiome-derived bacterial extracellular vesicles in patients with solid tumours. J Adv Res 2024:S2090-1232(24)00090-0. [PMID: 38458256 DOI: 10.1016/j.jare.2024.03.003] [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: 12/21/2023] [Revised: 02/17/2024] [Accepted: 03/06/2024] [Indexed: 03/10/2024] Open
Abstract
INTRODUCTION Gut microbiome-derived nanoparticles, known as bacterial extracellular vesicles (bEVs), have garnered interest as promising tools for studying the link between the gut microbiome and human health. The diverse composition of bEVs, including their proteins, mRNAs, metabolites, and lipids, makes them useful for investigating diseases such as cancer. However, conventional approaches for studying gut microbiome composition alone may not be accurate in deciphering host-gut microbiome communication. In clinical microbiome research, there is a gap in the knowledge on the role of bEVs in solid tumor patients. OBJECTIVES Analyzing the functionality of bEVs using (meta)genomics and proteomics could highlight the unique aspects of host-gut microbiome interactions in solid tumor patients. Therefore, we performed a comparative analysis of the proteome and microbiota composition of gut microbiome-derived bEVs isolated from patients with solid tumors and healthy controls. METHODS After isolating bEVs from the feces of solid tumor patients and healthy controls, we performed spectrometry analysis of their proteomes and next-generation sequencing (NGS) of the 16S gene. We also investigated the gut microbiomes of feces from patients and controls using 16S sequencing and used machine learning to classify the samples into patients and controls based on their bEVs and fecal microbiomes. RESULTS Solid tumor patients showed decreased microbiota richness and diversity in both the bEVs and feces. However, the bEV proteomes were more diverse in patients than in the controls and were enriched with proteins associated with the metabolism of amino acids and carbohydrates, nucleotide binding, and oxidoreductase activity. Metadata classification of samples was more accurate using fecal bEVs (100%) compared with fecal samples (93%). CONCLUSION Our findings suggest that bEVs are unique functional entities. There is a need to explore bEVs together with conventional gut microbiome analysis in functional cancer research to decipher the potential of bEVs as cancer diagnostic or therapeutic biomarkers.
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Affiliation(s)
- Surbhi Mishra
- Research Unit of Translational Medicine, University of Oulu, Oulu, Finland; Biocenter Oulu, University of Oulu, Oulu, Finland.
| | - Mysore Vishakantegowda Tejesvi
- Biocenter Oulu, University of Oulu, Oulu, Finland; Ecology and Genetics, Faculty of Science, University of Oulu, Oulu, Finland
| | - Jenni Hekkala
- Research Unit of Translational Medicine, University of Oulu, Oulu, Finland; Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Jenni Turunen
- Research Unit of Translational Medicine, University of Oulu, Oulu, Finland; Research Unit of Clinical Medicine, University of Oulu, Oulu, Finland
| | - Niyati Kandikanti
- Faculty of Medicine and Health Technology, University of Tampere, Tampere, Finland
| | - Anna Kaisanlahti
- Research Unit of Translational Medicine, University of Oulu, Oulu, Finland; Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Marko Suokas
- Biocenter Oulu, University of Oulu, Oulu, Finland
| | - Sirpa Leppä
- Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center, University of Helsinki, Helsinki, Finland
| | - Pia Vihinen
- FICAN West Cancer Centre and Department of Oncology, Turku University Hospital and University of Turku, 20521 Turku, Finland
| | - Hanne Kuitunen
- Department of Oncology, Oulu University Hospital, Oulu, Finland
| | | | - Jussi Koivunen
- Department of Medical Oncology and Radiotherapy and Medical Research Center, Oulu University Hospital and University of Oulu, Oulu, Finland
| | - Arja Jukkola
- Tampere Cancer Center, Faculty of Medicine and Health Technology, Tampere University, Tampere, Finland
| | - Ilja Kalashnikov
- Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center, University of Helsinki, Helsinki, Finland; Research Program Unit, Applied Tumor Genomics, Faculty of Medicine, University of Helsinki, Helsinki, Finland
| | - Päivi Auvinen
- Cancer Center, Kuopio University Hospital, Northern Savonia Healthcare Municipality, Kuopio, Finland
| | - Okko-Sakari Kääriäinen
- Cancer Center, Kuopio University Hospital, Northern Savonia Healthcare Municipality, Kuopio, Finland
| | - T Peñate Medina
- Section Biomedical Imaging, Department of Radiology and Neuroradiology and Institute for Experimental Cancer Research, Kiel University, 24105 Kiel, Germany
| | - O Peñate Medina
- Section Biomedical Imaging, Department of Radiology and Neuroradiology and Institute for Experimental Cancer Research, Kiel University, 24105 Kiel, Germany; Lonza Netherlands B.V., 6167 RB Geleen, the Netherlands
| | - Juha Saarnio
- Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu, Oulu, Finland
| | - Sanna Meriläinen
- Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu, Oulu, Finland
| | - Tero Rautio
- Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu, Oulu, Finland
| | - Raila Aro
- Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu, Oulu, Finland
| | - Reetta Häivälä
- Translational Medicine Research Unit, Medical Research Center Oulu, Oulu University Hospital, and University of Oulu, Oulu, Finland
| | - Juho Suojanen
- Päijät-Häme Joint Authority for Health and Wellbeing, Department of Oral and Maxillofacial Surgery, Lahti Central Hospital, 15850 Lahti, Finland; Cleft Palate and Craniofacial Centre, Department of Plastic Surgery, Helsinki University Hospital, 00029 Helsinki, Finland; Clinicum, Faculty of Medicine, University of Helsinki, 00014 Helsinki, Finland
| | - Mikael Laine
- Department of Abdominal Surgery, Porvoo Hospital, Hospital District of Helsinki and Uusimaa, Porvoo, Finland
| | | | - Leo Lahti
- Department of Computing, University of Turku, Turku, Finland
| | - Peeter Karihtala
- Department of Oncology, Helsinki University Hospital Comprehensive Cancer Center, University of Helsinki, Helsinki, Finland; Department of Oncology, Oulu University Hospital, Oulu, Finland
| | - Terhi S Ruuska
- Biocenter Oulu, University of Oulu, Oulu, Finland; Research Unit of Clinical Medicine, University of Oulu, Oulu, Finland; Department of Pediatrics and Adolescent Medicine, Oulu University Hospital, Oulu, Finland
| | - Justus Reunanen
- Research Unit of Translational Medicine, University of Oulu, Oulu, Finland; Biocenter Oulu, University of Oulu, Oulu, Finland
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Zhang QZ, Liu JH, Gao YR, Liang J, Tang CL. Effect of macrophage polarization on parasitic protection against type 1 diabetes mellitus. Exp Parasitol 2024; 256:108649. [PMID: 37914152 DOI: 10.1016/j.exppara.2023.108649] [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: 06/21/2023] [Revised: 10/06/2023] [Accepted: 10/29/2023] [Indexed: 11/03/2023]
Abstract
Type 1 diabetes mellitus is a chronic disease caused by the destruction of pancreatic beta cells. Based on the hygiene hypothesis, a growing body of evidence suggests a negative association between parasitic infections and diabetes in humans and animal models. The mechanism of parasite-mediated prevention of type 1 diabetes mellitus may be related to the adaptive and innate immune systems. Macrophage polarization is a new paradigm for the treatment of type 1 diabetes mellitus, and different host macrophage subsets play various roles during parasite infection. Proinflammatory cytokines are released by M1 macrophages, which are important in the development of type 1 diabetes mellitus. Parasite-activated M2 macrophages prevent the development of type 1 diabetes mellitus and can influence the development of adaptive immune responses through several mechanisms, including Th2 cells and regulatory T cells. Here, we review the role and mechanism of macrophage polarization in parasitic protection against type 1 diabetes mellitus.
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Affiliation(s)
- Qi-Zhi Zhang
- Wuchang Hospital Affiliated with Wuhan University of Science and Technology, Wuhan, 430063, China
| | - Jun-Hui Liu
- Wuhan Pulmonary Hospital, Wuhan Institute for Tuberculosis Control, Wuhan, 430030, China
| | - Yan-Ru Gao
- Basic Medical Science Teaching Center, Medical Department, Wuhan City College, Wuhan, 430083, China
| | - Jun Liang
- Wuhan Pulmonary Hospital, Wuhan Institute for Tuberculosis Control, Wuhan, 430030, China.
| | - Chun-Lian Tang
- Wuchang Hospital Affiliated with Wuhan University of Science and Technology, Wuhan, 430063, China.
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