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Wang S, Chen H, Yang H, Zhou K, Bai F, Wu X, Xu H. Gut Microbiome Was Highly Related to the Regulation of Metabolism in Lung Adenocarcinoma Patients. Front Oncol 2022; 12:790467. [PMID: 35592677 PMCID: PMC9113755 DOI: 10.3389/fonc.2022.790467] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2021] [Accepted: 03/21/2022] [Indexed: 11/27/2022] Open
Abstract
Background Lung adenocarcinoma (LUAD) is one of the most predominant subtypes of lung cancer. The gut microbiome plays a vital role in the pathophysiological processes of various diseases, including cancers. Methods In the study, 100 individuals were enrolled. In total 75 stool and blood samples were analyzed with 16s-rRNA gene sequencing and metabolomics (30 from healthy individuals (H); 45 from LUAD patients). In addition, 25 stool samples were analyzed with metagenomics (10 from H; 15 from LUAD). The linear discriminant analysis (LDA) effect size (LefSe) and logistic regression analysis were applied to identify biomarkers’ taxa and develop a diagnostic model. The diagnostic power of the model was estimated with the receiver operating characteristic curve (ROC) by comparing the area under the ROC (AUC). The correlation between biomarker’s taxa and metabolites was calculated using the Spearman analysis. Results The α and β diversity demonstrated the composition and structure of the gut microbiome in LUAD patients were different from those in healthy people. The top three abundance of genera were Bacteroides (25.06%), Faecalibacterium (11.00%), and Prevotella (5.94%). The LefSe and logistic regression analysis identified three biomarker taxa (Bacteroides, Pseudomonas, and Ruminococcus gnavus group) and constructed a diagnostic model. The AUCs of the diagnostic model in 16s-rRNA gene sequencing and metagenomics were 0.852 and 0.841, respectively. A total of 102 plasma metabolites were highly related to those three biomarkers’ taxa. Seven metabolic pathways were enriched by 102 plasma metabolites, including the Pentose phosphate pathway, Glutathione metabolism. Conclusions In LUAD patients, the gut microbiome profile has significantly changed. We used three biomarkers taxa to develop a diagnostic model, which was accurate and suitable for the diagnosis of LUAD. Gut microbes, especially those three biomarkers’ taxa, may participate in regulating metabolism-related pathways in LUAD patients, such as the pentose phosphate pathway and glutathione metabolism.
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Affiliation(s)
- Sheng Wang
- Department of Respiratory, Jinhua Guangfu Hospital, Jinhua, China
| | - Huachun Chen
- Department of Respiratory, Jinhua Guangfu Hospital, Jinhua, China
| | - Huizhen Yang
- Department of Respiratory, Jinhua Guangfu Hospital, Jinhua, China
| | - Kejin Zhou
- Department of Respiratory, Jinhua Guangfu Hospital, Jinhua, China
| | - Fan Bai
- Department of Respiratory, Jinhua Guangfu Hospital, Jinhua, China
| | - Xiaoyu Wu
- Department of Respiratory, Jinhua Guangfu Hospital, Jinhua, China
| | - Hanwen Xu
- Department of Respiratory, Jinhua Guangfu Hospital, Jinhua, China
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Fatima N, Baqri SSR, Alsulimani A, Fagoonee S, Slama P, Kesari KK, Roychoudhury S, Haque S. Phytochemicals from Indian Ethnomedicines: Promising Prospects for the Management of Oxidative Stress and Cancer. Antioxidants (Basel) 2021; 10:1606. [PMID: 34679741 PMCID: PMC8533600 DOI: 10.3390/antiox10101606] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2021] [Revised: 10/08/2021] [Accepted: 10/09/2021] [Indexed: 01/02/2023] Open
Abstract
Oxygen is indispensable for most organisms on the earth because of its role in respiration. However, it is also associated with several unwanted effects which may sometimes prove fatal in the long run. Such effects are more evident in cells exposed to strong oxidants containing reactive oxygen species (ROS). The adverse outcomes of oxidative metabolism are referred to as oxidative stress, which is a staple theme in contemporary medical research. Oxidative stress leads to plasma membrane disruption through lipid peroxidation and has several other deleterious effects. A large body of literature suggests the involvement of ROS in cancer, ageing, and several other health hazards of the modern world. Plant-based cures for these conditions are desperately sought after as supposedly safer alternatives to mainstream medicines. Phytochemicals, which constitute a diverse group of plant-based substances with varying roles in oxidative reactions of the body, are implicated in the treatment of cancer, aging, and all other ROS-induced anomalies. This review presents a summary of important phytochemicals extracted from medicinal plants which are a part of Indian ethnomedicine and Ayurveda and describes their possible therapeutic significance.
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Affiliation(s)
- Nishat Fatima
- Department of Chemistry, Shia PG College, Lucknow 226003, India;
| | | | - Ahmad Alsulimani
- Medical Laboratory Technology Department, College of Applied Medical Sciences, Jazan University, Jazan 45142, Saudi Arabia;
| | - Sharmila Fagoonee
- Institute of Biostructure and Bioimaging (CNR), Molecular Biotechnology Center, 10124 Turin, Italy;
| | - Petr Slama
- Department of Animal Morphology, Physiology and Genetics, Faculty of AgriSciences, Mendel University in Brno, 61300 Brno, Czech Republic;
| | - Kavindra Kumar Kesari
- Department of Applied Physics, School of Science, Aalto University, 00076 Espoo, Finland; or
| | | | - Shafiul Haque
- Research and Scientific Studies Unit, College of Nursing and Allied Health Sciences, Jazan University, Jazan 45142, Saudi Arabia
- Faculty of Medicine, Bursa Uludağ University, Görükle Campus, Nilüfer, Bursa 16059, Turkey
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Koklesova L, Liskova A, Samec M, Buhrmann C, Samuel SM, Varghese E, Ashrafizadeh M, Najafi M, Shakibaei M, Büsselberg D, Giordano FA, Golubnitschaja O, Kubatka P. Carotenoids in Cancer Apoptosis-The Road from Bench to Bedside and Back. Cancers (Basel) 2020; 12:E2425. [PMID: 32859058 PMCID: PMC7563597 DOI: 10.3390/cancers12092425] [Citation(s) in RCA: 54] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2020] [Revised: 08/21/2020] [Accepted: 08/23/2020] [Indexed: 12/24/2022] Open
Abstract
An incidence and mortality of cancer are rapidly growing worldwide, especially due to heterogeneous character of the disease that is associated with irreversible impairment of cellular homeostasis and function. Targeting apoptosis, one of cancer hallmarks, represents a potent cancer treatment strategy. Carotenoids are phytochemicals represented by carotenes, xanthophylls, and derived compounds such as apocarotenoids that demonstrate a broad spectrum of anti-cancer effects involving pro-apoptotic signaling through extrinsic and intrinsic pathways. As demonstrated in preclinical oncology research, the apoptotic modulation is performed at post-genomic levels. Further, carotenoids demonstrate additive/synergistic action in combination with conventional oncostatic agents. In addition, a sensitization of tumor cells to anti-cancer conventional treatment can be achieved by carotenoids. The disadvantage of anti-cancer application of carotenoids is associated with their low solubility and, therefore, poor bioavailability. However, this deficiency can be improved by using nanotechnological approaches, solid dispersions, microemulsions or biofortification that significantly increase the anti-cancer and pro-apoptotic efficacy of carotenoids. Only limited number of studies dealing with apoptotic potential of carotenoids has been published in clinical sphere. Pro-apoptotic effects of carotenoids should be beneficial for individuals at high risk of cancer development. The article considers the utility of carotenoids in the framework of 3P medicine.
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Affiliation(s)
- Lenka Koklesova
- Department of Obstetrics and Gynecology, Jessenius Faculty of Medicine, Comenius University in Bratislava, 036 01 Martin, Slovakia; (L.K.); (A.L.); (M.S.)
| | - Alena Liskova
- Department of Obstetrics and Gynecology, Jessenius Faculty of Medicine, Comenius University in Bratislava, 036 01 Martin, Slovakia; (L.K.); (A.L.); (M.S.)
| | - Marek Samec
- Department of Obstetrics and Gynecology, Jessenius Faculty of Medicine, Comenius University in Bratislava, 036 01 Martin, Slovakia; (L.K.); (A.L.); (M.S.)
| | - Constanze Buhrmann
- Musculoskeletal Research Group and Tumour Biology, Chair of Vegetative Anatomy, Institute of Anatomy, Faculty of Medicine, Ludwig-Maximilian-University Munich, D-80336 Munich, Germany; (C.B.); (M.S.)
| | - Samson Mathews Samuel
- Department of Physiology and Biophysics, Weill Cornell Medicine in Qatar, Education City, Qatar Foundation, Doha 24144, Qatar; (S.M.S.); (E.V.); (D.B.)
| | - Elizabeth Varghese
- Department of Physiology and Biophysics, Weill Cornell Medicine in Qatar, Education City, Qatar Foundation, Doha 24144, Qatar; (S.M.S.); (E.V.); (D.B.)
| | - Milad Ashrafizadeh
- Department of Basic Science, Faculty of Veterinary Medicine, University of Tabriz, 51368 Tabriz, Iran;
| | - Masoud Najafi
- Radiology and Nuclear Medicine Department, School of Paramedical Sciences, Kermanshah University of Medical Sciences, 67146 Kermanshah, Iran;
| | - Mehdi Shakibaei
- Musculoskeletal Research Group and Tumour Biology, Chair of Vegetative Anatomy, Institute of Anatomy, Faculty of Medicine, Ludwig-Maximilian-University Munich, D-80336 Munich, Germany; (C.B.); (M.S.)
| | - Dietrich Büsselberg
- Department of Physiology and Biophysics, Weill Cornell Medicine in Qatar, Education City, Qatar Foundation, Doha 24144, Qatar; (S.M.S.); (E.V.); (D.B.)
| | - Frank A. Giordano
- Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany;
| | - Olga Golubnitschaja
- Predictive, Preventive Personalised (3P) Medicine, Department of Radiation Oncology, University Hospital Bonn, Rheinische Friedrich-Wilhelms-Universität Bonn, 53127 Bonn, Germany
| | - Peter Kubatka
- Department of Medical Biology, Jessenius Faculty of Medicine, Comenius University in Bratislava, 03601 Martin, Slovakia
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Dong Z, Chen B, Pan H, Wang D, Liu M, Yang Y, Zou M, Yang J, Xiao K, Zhao R, Zheng X, Zhang L, Zhang Y. Detection of Microbial 16S rRNA Gene in the Serum of Patients With Gastric Cancer. Front Oncol 2019; 9:608. [PMID: 31338330 PMCID: PMC6629868 DOI: 10.3389/fonc.2019.00608] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2019] [Accepted: 06/20/2019] [Indexed: 01/03/2023] Open
Abstract
Aberrance in the blood bacterial microbiome has been identified and validated in several non-infectious diseases, including cancer. The occurrence and progression of gastric cancer has been found to be associated with alterations in the microbiome composition. However, the composition of the blood microbiome in patients with gastric cancer is not well-characterized. To test this hypothesis, we conducted a case-control study to investigate the microbiota compositions in the serum of patients with gastric cancer. The serum microbiome was investigated in patients with gastric cancer, atypical hyperplasia, chronic gastritis, and in healthy controls using 16S rRNA gene sequencing targeting the V1-V2 region. Our results revealed that the structure of the serum microbiome in gastric cancer was significantly different from all other groups, and alpha diversity decreased from the healthy control to patients with gastric cancer. The serum microbiome correlated significantly with tumor-node-metastasis (TNM) stage, lymphatic metastasis, tumor diameter, and invasion depth in gastric cancer. Three genera or species, namely, Acinetobacter, Bacteroides, Haemophilus parainfluenzae, were enriched in patients with gastric cancer, whereas Sphingomonas, Comamonas, and Pseudomonas stutzeri were enriched in the healthy control. Furthermore, the structure of serum microbiota differed between gastric cancer lymphatic metastasis and non-lymphatic metastasis. As a pilot investigation to characterizing the serum microbiome in gastric cancer, our study provided a foundation for improving our understanding of the role of microbiota in the pathogenesis of gastric cancer.
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Affiliation(s)
- Zhaogang Dong
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.,Shandong Province Key Laboratories of Medicine and Health (Tumor Marker Translational Medicine Laboratory), Qilu Hospital of Shandong University, Jinan, China
| | - Bin Chen
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China
| | - Hongwei Pan
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.,Shandong Province Key Laboratories of Medicine and Health (Tumor Marker Translational Medicine Laboratory), Qilu Hospital of Shandong University, Jinan, China
| | - Ding Wang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.,Shandong Province Key Laboratories of Medicine and Health (Tumor Marker Translational Medicine Laboratory), Qilu Hospital of Shandong University, Jinan, China
| | - Min Liu
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.,Shandong Province Key Laboratories of Medicine and Health (Tumor Marker Translational Medicine Laboratory), Qilu Hospital of Shandong University, Jinan, China
| | - Yongmei Yang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.,Shandong Province Key Laboratories of Medicine and Health (Tumor Marker Translational Medicine Laboratory), Qilu Hospital of Shandong University, Jinan, China
| | - Mingjin Zou
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.,Shandong Province Key Laboratories of Medicine and Health (Tumor Marker Translational Medicine Laboratory), Qilu Hospital of Shandong University, Jinan, China
| | - Junjie Yang
- College of Life Science, Qilu Normal University, Jinan, China
| | - Ke Xiao
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.,Shandong Province Key Laboratories of Medicine and Health (Tumor Marker Translational Medicine Laboratory), Qilu Hospital of Shandong University, Jinan, China
| | - Rui Zhao
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.,Shandong Province Key Laboratories of Medicine and Health (Tumor Marker Translational Medicine Laboratory), Qilu Hospital of Shandong University, Jinan, China
| | - Xin Zheng
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.,Shandong Province Key Laboratories of Medicine and Health (Tumor Marker Translational Medicine Laboratory), Qilu Hospital of Shandong University, Jinan, China
| | - Lei Zhang
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, China.,Shandong Children's Microbiome Center, Qilu Children's Hospital of Shandong University, Jinan, China.,Qingdao Human Microbiome Center, The Affiliated Central Hospital of Qingdao University, Qingdao, China
| | - Yi Zhang
- Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, China.,Shandong Province Key Laboratories of Medicine and Health (Tumor Marker Translational Medicine Laboratory), Qilu Hospital of Shandong University, Jinan, China
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