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Zhao J, Duan L, Li J, Yao C, Wang G, Mi J, Yu Y, Ding L, Zhao Y, Yan G, Li J, Zhao Z, Wang X, Li M. New insights into the interplay between autophagy, gut microbiota and insulin resistance in metabolic syndrome. Biomed Pharmacother 2024; 176:116807. [PMID: 38795644 DOI: 10.1016/j.biopha.2024.116807] [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: 03/12/2024] [Revised: 05/20/2024] [Accepted: 05/20/2024] [Indexed: 05/28/2024] Open
Abstract
Metabolic syndrome (MetS) is a widespread and multifactorial disorder, and the study of its pathogenesis and treatment remains challenging. Autophagy, an intracellular degradation system that maintains cellular renewal and homeostasis, is essential for maintaining antimicrobial defense, preserving epithelial barrier integrity, promoting mucosal immune response, maintaining intestinal homeostasis, and regulating gut microbiota and microbial metabolites. Dysfunctional autophagy is implicated in the pathological mechanisms of MetS, involving insulin resistance (IR), chronic inflammation, oxidative stress, and endoplasmic reticulum (ER) stress, with IR being a predominant feature. The study of autophagy represents a valuable field of research with significant clinical implications for identifying autophagy-related signals, pathways, mechanisms, and treatment options for MetS. Given the multifactorial etiology and various potential risk factors, it is imperative to explore the interplay between autophagy and gut microbiota in MetS more thoroughly. This will facilitate the elucidation of new mechanisms underlying the crosstalk among autophagy, gut microbiota, and MetS, thereby providing new insights into the diagnosis and treatment of MetS.
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Affiliation(s)
- Jinyue Zhao
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130021, China
| | - Liyun Duan
- The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan 250355, China; Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan 250014, China
| | - Jiarui Li
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130021, China
| | - Chensi Yao
- Molecular Biology Laboratory, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China
| | - Guoqiang Wang
- The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130021, China
| | - Jia Mi
- The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130021, China
| | - Yongjiang Yu
- The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130021, China
| | - Lu Ding
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130021, China
| | - Yunyun Zhao
- The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130021, China
| | - Guanchi Yan
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130021, China
| | - Jing Li
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130021, China
| | - Zhixuan Zhao
- College of Traditional Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130021, China
| | - Xiuge Wang
- The Affiliated Hospital to Changchun University of Chinese Medicine, Changchun University of Chinese Medicine, Changchun 130021, China.
| | - Min Li
- Molecular Biology Laboratory, Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing 100053, China.
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2
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Liu X, Liu Y, Liu J, Zhang H, Shan C, Guo Y, Gong X, Cui M, Li X, Tang M. Correlation between the gut microbiome and neurodegenerative diseases: a review of metagenomics evidence. Neural Regen Res 2024; 19:833-845. [PMID: 37843219 PMCID: PMC10664138 DOI: 10.4103/1673-5374.382223] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2023] [Revised: 04/19/2023] [Accepted: 06/17/2023] [Indexed: 10/17/2023] Open
Abstract
A growing body of evidence suggests that the gut microbiota contributes to the development of neurodegenerative diseases via the microbiota-gut-brain axis. As a contributing factor, microbiota dysbiosis always occurs in pathological changes of neurodegenerative diseases, such as Alzheimer's disease, Parkinson's disease, and amyotrophic lateral sclerosis. High-throughput sequencing technology has helped to reveal that the bidirectional communication between the central nervous system and the enteric nervous system is facilitated by the microbiota's diverse microorganisms, and for both neuroimmune and neuroendocrine systems. Here, we summarize the bioinformatics analysis and wet-biology validation for the gut metagenomics in neurodegenerative diseases, with an emphasis on multi-omics studies and the gut virome. The pathogen-associated signaling biomarkers for identifying brain disorders and potential therapeutic targets are also elucidated. Finally, we discuss the role of diet, prebiotics, probiotics, postbiotics and exercise interventions in remodeling the microbiome and reducing the symptoms of neurodegenerative diseases.
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Affiliation(s)
- Xiaoyan Liu
- School of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu Province, China
| | - Yi Liu
- School of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu Province, China
- Institute of Animal Husbandry, Jiangsu Academy of Agricultural Sciences, Nanjing, Jiangsu Province, China
| | - Junlin Liu
- School of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu Province, China
| | - Hantao Zhang
- School of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu Province, China
| | - Chaofan Shan
- School of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu Province, China
| | - Yinglu Guo
- School of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu Province, China
| | - Xun Gong
- Department of Rheumatology & Immunology, Affiliated Hospital of Jiangsu University, Zhenjiang, Jiangsu Province, China
| | - Mengmeng Cui
- Department of Neurology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong Province, China
| | - Xiubin Li
- Department of Neurology, The Second Affiliated Hospital of Shandong First Medical University, Taian, Shandong Province, China
| | - Min Tang
- School of Life Sciences, Jiangsu University, Zhenjiang, Jiangsu Province, China
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Muraleedharan A, Ray SK. Epigallocatechin-3-Gallate and Genistein for Decreasing Gut Dysbiosis, Inhibiting Inflammasomes, and Aiding Autophagy in Alzheimer's Disease. Brain Sci 2024; 14:96. [PMID: 38275516 PMCID: PMC10813550 DOI: 10.3390/brainsci14010096] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2023] [Revised: 01/13/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
There are approximately 24 million cases of Alzheimer's disease (AD) worldwide, and the number of cases is expected to increase four-fold by 2050. AD is a neurodegenerative disease that leads to severe dementia in most patients. There are several neuropathological signs of AD, such as deposition of amyloid beta (Aβ) plaques, formation of neurofibrillary tangles (NFTs), neuronal loss, activation of inflammasomes, and declining autophagy. Several of these hallmarks are linked to the gut microbiome. The gastrointestinal (GI) tract contains microbial diversity, which is important in regulating several functions in the brain via the gut-brain axis (GBA). The disruption of the balance in the gut microbiota is known as gut dysbiosis. Recent studies strongly support that targeting gut dysbiosis with selective bioflavonoids is a highly plausible solution to attenuate activation of inflammasomes (contributing to neuroinflammation) and resume autophagy (a cellular mechanism for lysosomal degradation of the damaged components and recycling of building blocks) to stop AD pathogenesis. This review is focused on two bioflavonoids, specifically epigallocatechin-3-gallate (EGCG) and genistein (GS), as a possible new paradigm of treatment for maintaining healthy gut microbiota in AD due to their implications in modulating crucial AD signaling pathways. The combination of EGCG and GS has a higher potential than either agent alone to attenuate the signaling pathways implicated in AD pathogenesis. The effects of EGCG and GS on altering gut microbiota and GBA were also explored, along with conclusions from various delivery methods to increase the bioavailability of these bioflavonoids in the body.
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Affiliation(s)
- Ahalya Muraleedharan
- Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA;
| | - Swapan K. Ray
- Department of Pathology, Microbiology, and Immunology, University of South Carolina School of Medicine, Columbia, SC 29209, USA
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4
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Wang S, Zhang K, Song X, Huang Q, Lin S, Deng S, Qi M, Yang Y, Lu Q, Zhao D, Meng F, Li J, Lian Z, Luo C, Yao Y. TLR4 Overexpression Aggravates Bacterial Lipopolysaccharide-Induced Apoptosis via Excessive Autophagy and NF-κB/MAPK Signaling in Transgenic Mammal Models. Cells 2023; 12:1769. [PMID: 37443803 PMCID: PMC10340758 DOI: 10.3390/cells12131769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 06/25/2023] [Accepted: 06/29/2023] [Indexed: 07/15/2023] Open
Abstract
Gram-negative bacterial infections pose a significant threat to public health. Toll-like receptor 4 (TLR4) recognizes bacterial lipopolysaccharide (LPS) and induces innate immune responses, autophagy, and cell death, which have major impacts on the body's physiological homeostasis. However, the role of TLR4 in bacterial LPS-induced autophagy and apoptosis in large mammals, which are closer to humans than rodents in many physiological characteristics, remains unknown. So far, few reports focus on the relationship between TLR, autophagy, and apoptosis in large mammal levels, and we urgently need more tools to further explore their crosstalk. Here, we generated a TLR4-enriched mammal model (sheep) and found that a high-dose LPS treatment blocked autophagic degradation and caused strong innate immune responses and severe apoptosis in monocytes/macrophages of transgenic offspring. Excessive accumulation of autophagosomes/autolysosomes might contribute to LPS-induced apoptosis in monocytes/macrophages of transgenic animals. Further study demonstrated that inhibiting TLR4 downstream NF-κB or p38 MAPK signaling pathways reversed the LPS-induced autophagy activity and apoptosis. These results indicate that the elevated TLR4 aggravates LPS-induced monocytes/macrophages apoptosis by leading to lysosomal dysfunction and impaired autophagic flux, which is associated with TLR4 downstream NF-κB and MAPK signaling pathways. This study provides a novel TLR4-enriched mammal model to study its potential effects on autophagy activity, inflammation, oxidative stress, and cell death. These findings also enrich the biological functions of TLR4 and provide powerful evidence for bacterial infection.
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Affiliation(s)
- Sutian Wang
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China (C.L.)
| | - Kunli Zhang
- Institute of Animal Health, Guangdong Academy of Agricultural Sciences, Guangdong Provincial Key Laboratory of Livestock Disease Prevention Guangdong Province, Scientific Observation and Experiment Station of Veterinary Drugs and Diagnostic Techniques of Guangdong Province, Ministry of Agriculture and Rural Affairs, Guangzhou 510640, China
| | - Xuting Song
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - Qiuyan Huang
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China (C.L.)
| | - Sen Lin
- Sericultural & Agri-Food Research Institute, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China
| | - Shoulong Deng
- Institute of Laboratory Animal Sciences, Chinese Academy of Medical Sciences and Comparative Medicine Center, Peking Union Medical College, Beijing 100021, China
| | - Meiyu Qi
- Institute of Animal Husbandry, Heilongjiang Academy of Agricultural Sciences, Harbin 150028, China
| | - Yecheng Yang
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China (C.L.)
| | - Qi Lu
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - Duowei Zhao
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
| | - Fanming Meng
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China (C.L.)
| | - Jianhao Li
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China (C.L.)
| | - Zhengxing Lian
- Beijing Key Laboratory for Animal Genetic Improvement, National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics and Breeding of the Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing 100083, China
| | - Chenglong Luo
- State Key Laboratory of Swine and Poultry Breeding Industry, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou 510640, China (C.L.)
| | - Yuchang Yao
- College of Animal Science and Technology, Northeast Agricultural University, Harbin 150030, China
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5
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Cha SR, Jang J, Park SM, Ryu SM, Cho SJ, Yang SR. Cigarette Smoke-Induced Respiratory Response: Insights into Cellular Processes and Biomarkers. Antioxidants (Basel) 2023; 12:1210. [PMID: 37371940 DOI: 10.3390/antiox12061210] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Revised: 05/30/2023] [Accepted: 05/31/2023] [Indexed: 06/29/2023] Open
Abstract
Cigarette smoke (CS) poses a significant risk factor for respiratory, vascular, and organ diseases owing to its high content of harmful chemicals and reactive oxygen species (ROS). These substances are known to induce oxidative stress, inflammation, apoptosis, and senescence due to their exposure to environmental pollutants and the presence of oxidative enzymes. The lung is particularly susceptible to oxidative stress. Persistent oxidative stress caused by chronic exposure to CS can lead to respiratory diseases such as chronic obstructive pulmonary disease (COPD), pulmonary fibrosis (PF), and lung cancer. Avoiding exposure to environmental pollutants, like cigarette smoke and air pollution, can help mitigate oxidative stress. A comprehensive understanding of oxidative stress and its impact on the lungs requires future research. This includes identifying strategies for preventing and treating lung diseases as well as investigating the underlying mechanisms behind oxidative stress. Thus, this review aims to investigate the cellular processes induced by CS, specifically inflammation, apoptosis, senescence, and their associated biomarkers. Furthermore, this review will delve into the alveolar response provoked by CS, emphasizing the roles of potential therapeutic target markers and strategies in inflammation and oxidative stress.
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Affiliation(s)
- Sang-Ryul Cha
- Department of Thoracic and Cardiovascular Surgery, School of Medicine, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of Korea
| | - Jimin Jang
- Department of Thoracic and Cardiovascular Surgery, School of Medicine, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of Korea
| | - Sung-Min Park
- Department of Thoracic and Cardiovascular Surgery, School of Medicine, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of Korea
| | - Se Min Ryu
- Department of Thoracic and Cardiovascular Surgery, School of Medicine, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of Korea
| | - Seong-Joon Cho
- Department of Thoracic and Cardiovascular Surgery, School of Medicine, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of Korea
| | - Se-Ran Yang
- Department of Thoracic and Cardiovascular Surgery, School of Medicine, Kangwon National University, 1 Kangwondaehak-gil, Chuncheon 24341, Republic of Korea
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Mitra S, Munni YA, Dash R, Sadhu T, Barua L, Islam MA, Chowdhury D, Bhattacharjee D, Mazumder K, Moon IS. Gut Microbiota in Autophagy Regulation: New Therapeutic Perspective in Neurodegeneration. Life (Basel) 2023; 13:life13040957. [PMID: 37109487 PMCID: PMC10144697 DOI: 10.3390/life13040957] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 03/18/2023] [Accepted: 03/31/2023] [Indexed: 04/09/2023] Open
Abstract
Gut microbiota and the brain are related via a complex bidirectional interconnective network. Thus, intestinal homeostasis is a crucial factor for the brain, as it can control the environment of the central nervous system and play a significant role in disease progression. The link between neuropsychological behavior or neurodegeneration and gut dysbiosis is well established, but many involved pathways remain unknown. Accumulating studies showed that metabolites derived from gut microbiota are involved in the autophagy activation of various organs, including the brain, one of the major pathways of the protein clearance system that is essential for protein aggregate clearance. On the other hand, some metabolites are evidenced to disrupt the autophagy process, which can be a modulator of neurodegeneration. However, the detailed mechanism of autophagy regulation by gut microbiota remains elusive, and little research only focused on that. Here we tried to evaluate the crosstalk between gut microbiota metabolites and impaired autophagy of the central nervous system in neurodegeneration and the key to future research regarding gut dysbiosis and compromised autophagy in neurodegenerative diseases.
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Affiliation(s)
- Sarmistha Mitra
- Department of Anatomy, College of Medicine, Dongguk University, Gyeongju 38066, Republic of Korea
| | - Yeasmin Akter Munni
- Department of Anatomy, College of Medicine, Dongguk University, Gyeongju 38066, Republic of Korea
| | - Raju Dash
- Department of New Biology, Daegu Gyeongbuk Institute of Science and Technology, Daegu 42988, Republic of Korea
| | - Toma Sadhu
- Department of Bioinformatics and Biotechnology, Asian University for Women, Chittagong 4000, Bangladesh
| | - Largess Barua
- Department of Anatomy and Neurobiology, School of Dentistry, Kyungpook National University, Daegu 41940, Republic of Korea
| | - Md. Ariful Islam
- Department of Pharmaceutical Sciences, North South University, Dhaka 1229, Bangladesh
| | - Dipannita Chowdhury
- Department of Pharmacy, BGC Trust University Bangladesh, Chittagong 4381, Bangladesh
| | - Debpriya Bhattacharjee
- Faculty of Environment and Natural Sciences, Brandenburg Technical University Cottbus Senftenberg, D-03013 Cottbus, Germany
| | - Kishor Mazumder
- Department of Pharmacy, Jashore University of Science and Technology, Jashore 7408, Bangladesh
- School of Optometry and Vision Science, UNSW Medicine, University of New South Wales (UNSW), Sydney, NSW 2052, Australia
| | - Il Soo Moon
- Department of Anatomy, College of Medicine, Dongguk University, Gyeongju 38066, Republic of Korea
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Portes J, Bullón B, Gallardo I, Fernandez-Riejos P, Quiles JL, Giampieri F, Bullón P. Prevalence of undiagnosed diabetes and prediabetes related to periodontitis and its risk factors in elderly individuals. J Dent 2023; 132:104480. [PMID: 36948381 DOI: 10.1016/j.jdent.2023.104480] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2022] [Revised: 03/02/2023] [Accepted: 03/09/2023] [Indexed: 03/24/2023] Open
Abstract
OBJECTIVE The prevalence of undiagnosed diabetes was estimated to increase with age and can reach 3.5%. The purpose of the study was to evaluate the prevalence of undiagnosed diabetes and prediabetes in the elderly patients who attended a dental clinic and to find common risk factors. METHODS Male patients, older than 50 years, attended their first dental visit to the School of Dentistry for a period of two years, and it was proposed to evaluate undiagnosed type 2 diabetes mellitus. Periodontal, biochemical, microbiological examinations, nutritional profile, and physical activity were performed. RESULTS A total of 106 patients were examined, 6 (5.6%) had diabetes, and 37 (34.9%) had prediabetes without prior diagnosis. The severity of periodontitis was greater in patients with diabetes. Most of the patients were overweight and had increased systolic blood pressure. Patients with prediabetes and periodontitis had a low adherence to the Mediterranean diet. Tannerella forsythia was present in more patients with periodontitis, and the prevalence of Aggregatibacter actinomycetemcomitans is practically absent in groups with periodontitis, except for the group with diabetes. CONCLUSIONS In the population studied, the prevalence of patients without a diagnosis of diabetes and prediabetes was very high and underestimated. The increased severity of periodontitis in patients with diabetes and in conjunction with the high level of cortisol seen in patients with periodontitis, especially those with diabetes, emphasize the dysregulation of the immunoinflammatory system. CLINICAL SIGNIFICANCE It is essential to add all this data to our dental practice to cover patient health with a broader landscape.
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Affiliation(s)
- Juliana Portes
- Department of Periodontology, Dental School, University of Seville, C/Avicena, s/n, 41009 Seville, Spain; Dental School, Veiga de Almeida University, Rua Ibituruna, 108, 20271-020, Maracanã, Rio de Janeiro, Brazil
| | - Beatriz Bullón
- Department of Periodontology, Dental School, University of Seville, C/Avicena, s/n, 41009 Seville, Spain
| | - Isabel Gallardo
- Department of Periodontology, Dental School, University of Seville, C/Avicena, s/n, 41009 Seville, Spain
| | | | - Jose Luis Quiles
- Department of Physiology, Institute of Nutrition and Food Technology 'José Mataix', Center for Biomedical Research, Universidad de Granada, 18071 Armilla, Spain
| | - Francesca Giampieri
- Resarch Group on Food, Nutritional Biochemistry and Health. Univeridad Europea del Atlantico.39011 Santander, Spain
| | - Pedro Bullón
- Department of Periodontology, Dental School, University of Seville, C/Avicena, s/n, 41009 Seville, Spain.
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Li Y, Lan X, Wang S, Cui Y, Song S, Zhou H, Li Q, Dai L, Zhang J. Serial five-membered lactone ring ions in the treatment of Alzheimer's diseases-comprehensive profiling of arctigenin metabolites and network analysis. Front Pharmacol 2022; 13:1065654. [PMID: 36605392 PMCID: PMC9807626 DOI: 10.3389/fphar.2022.1065654] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2022] [Accepted: 12/01/2022] [Indexed: 12/24/2022] Open
Abstract
Arctigenin is a phenylpropanoid dibenzylbutyro lactone lignan compound with multiple biological functions. Previous studies have shown that arctigenin have neuroprotective effects in Alzheimer's disease (AD) models both in vivo and in vitro; however, its metabolism in vivo has not been studied. Most traditional analytical methods only partially characterize drug metabolite prototypes, so there is an urgent need for a research strategy that can fully characterize drug metabolites. In the present study, ions fishing with a serial five-membered lactone ring as a fishhook strategy based on ultrahigh-performance liquid chromatography-Q-Exactive Orbitrap mass spectrometry (UHPLC-Q-Exactive Orbitrap MS) was utilised to characterise the metabolism of arctigenin, and the establishment of this strategy also solved the challenge of creating a comprehensive metabolic profile of neolignan. Based on the proposed strategy, a total of 105 metabolites were detected and characterised, 76 metabolites of which were found in rats and 49 metabolites in liver microsomes. These metabolites were postulated to be produced through oxidation, reduction, hydrolysis, and complex reactions. Subsequently, network pharmacology was utilized to elucidate the mechanism of arctigenin and its main metabolites against Alzheimer's disease, screening 381 potential targets and 20 major signaling pathways. The study on the comprehensive metabolism of arctigenin provides a holistic metabolic profile, which will help to better understand the mechanism of arctigenin in the treatment of Alzheimer's disease (AD) and also provide a basis for the safe administration of arctigenin.
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Affiliation(s)
- Yanan Li
- School of Pharmacy, Binzhou Medical University, Yantai, China,School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xianming Lan
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Shaoping Wang
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Yifang Cui
- School of Pharmacy, Binzhou Medical University, Yantai, China,School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Shuyi Song
- School of Pharmacy, Binzhou Medical University, Yantai, China
| | - Hongyan Zhou
- School of Pharmacy, Binzhou Medical University, Yantai, China,School of Pharmacy, Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Qiyan Li
- Shandong Provincial Institute for Food and Drug Control, Jinan, China,*Correspondence: Jiayu Zhang, ; Long Dai, ; Qiyan Li,
| | - Long Dai
- School of Pharmacy, Binzhou Medical University, Yantai, China,*Correspondence: Jiayu Zhang, ; Long Dai, ; Qiyan Li,
| | - Jiayu Zhang
- School of Pharmacy, Binzhou Medical University, Yantai, China,*Correspondence: Jiayu Zhang, ; Long Dai, ; Qiyan Li,
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