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Bhattacharya A, Chakraborty M, Chanda A, Alqahtani T, Kumer A, Dhara B, Chattopadhyay M. Neuroendocrine and cellular mechanisms in stress resilience: From hormonal influence in the CNS to mitochondrial dysfunction and oxidative stress. J Cell Mol Med 2024; 28:e18220. [PMID: 38509751 PMCID: PMC10955164 DOI: 10.1111/jcmm.18220] [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: 12/17/2023] [Revised: 02/12/2024] [Accepted: 02/22/2024] [Indexed: 03/22/2024] Open
Abstract
Recent advancements in neuroendocrinology challenge the long-held belief that hormonal effects are confined to perivascular tissues and do not extend to the central nervous system (CNS). This paradigm shift, propelled by groundbreaking research, reveals that synthetic hormones, notably in anti-inflammatory medications, significantly influence steroid psychosis, behavioural, and cognitive impairments, as well as neuropeptide functions. A seminal development in this field occurred in 1968 with McEven's proposal that rodent brains are responsive to glucocorticoids, fundamentally altering the understanding of how anxiety impacts CNS functionality and leading to the identification of glucocorticosteroids and mineralocorticoids as distinct corticotropic receptors. This paper focuses on the intricate roles of the neuroendocrine, immunological, and CNS in fostering stress resilience, underscored by recent animal model studies. These studies highlight active, compensatory, and passive strategies for resilience, supporting the concept that anxiety and depression are systemic disorders involving dysregulation across both peripheral and central systems. Resilience is conceptualized as a multifaceted process that enhances psychological adaptability to stress through adaptive mechanisms within the immunological system, brain, hypothalamo-pituitary-adrenal axis, and ANS Axis. Furthermore, the paper explores oxidative stress, particularly its origin from the production of reactive oxygen species (ROS) in mitochondria. The mitochondria's role extends beyond ATP production, encompassing lipid, heme, purine, and steroidogenesis synthesis. ROS-induced damage to biomolecules can lead to significant mitochondrial dysfunction and cell apoptosis, emphasizing the critical nature of mitochondrial health in overall cellular function and stress resilience. This comprehensive synthesis of neuroendocrinological and cellular biological research offers new insights into the systemic complexity of stress-related disorders and the imperative for multidisciplinary approaches in their study and treatment.
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Affiliation(s)
- Arghya Bhattacharya
- Department of PharmacologyCalcutta Institute of Pharmaceutical Technology and AHSUluberiaWest BengalIndia
| | - Manas Chakraborty
- Department of Pharmaceutical BiotechnologyCalcutta institute of pharmaceutical technology and AHSUluberiaWest BengalIndia
| | - Ananya Chanda
- Department of Pharmaceutical ScienceAdamas UniversityBarasatWest BengalIndia
| | - Taha Alqahtani
- Department of Pharmacology, College of PharmacyKing Khalid UniversityAbhaSaudi Arabia
| | - Ajoy Kumer
- Department of ChemistryCollege of Arts and Sciences, IUBAT‐International University of Business Agriculture and TechnologyDhakaBangladesh
| | - Bikram Dhara
- Center for Global Health ResearchSaveetha Medical College and Hospital, Saveetha Institute of Medical and Technical SciencesChennaiIndia
- Department of Health SciencesNovel Global Community and Educational FoundationHebershamNew South WalesAustralia
| | - Moitreyee Chattopadhyay
- Department of Pharmaceutical TechnologyMaulana Abul Kalam Azad University of TechnologyKolkataWest BengalIndia
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Wen S, Zhu J, Han X, Li Y, Liu H, Yang H, Hou C, Xu S, Wang J, Hu Y, Qu Y, Liu D, Aspelund T, Fang F, Valdimarsdóttir UA, Song H. Childhood maltreatment and risk of endocrine diseases: an exploration of mediating pathways using sequential mediation analysis. BMC Med 2024; 22:59. [PMID: 38331807 PMCID: PMC10854183 DOI: 10.1186/s12916-024-03271-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/18/2023] [Accepted: 01/22/2024] [Indexed: 02/10/2024] Open
Abstract
BACKGROUND Adverse childhood experiences (ACEs), including childhood maltreatment, have been linked with increased risk of diabetes and obesity during adulthood. A comprehensive assessment on the associations between childhood maltreatment and all major endocrine diseases, as well as the relative importance of different proposed mechanistic pathways on these associations, is currently lacking. METHODS Based on the UK Biobank, we constructed a cohort including 151,659 participants with self-reported data on childhood maltreatment who were 30 years of age or older on/after January 1, 1985. All participants were followed from the index date (i.e., January 1, 1985, or their 30th birthday, whichever came later) until the first diagnosis of any or specific (12 individual diagnoses and 9 subtypes) endocrine diseases, death, or the end of follow-up (December 31, 2019), whichever occurred first. We used Cox models to examine the association of childhood maltreatment, treated as continuous (i.e., the cumulative number of experienced childhood maltreatment), ordinal (i.e., 0, 1 and ≥ 2), or binary (< 2 and ≥ 2) variable, with any and specific endocrine diseases, adjusted for multiple covariates. We further examined the risk of having multiple endocrine diseases using Linear or Logistic Regression models. Then, sequential mediation analyses were performed to assess the contribution of four possible mechanisms (i.e., suboptimal socioeconomic status (SES), psychological adversities, unfavorable lifestyle, and biological alterations) on the observed associations. RESULTS During an average follow-up of 30.8 years, 20,885 participants received a diagnosis of endocrine diseases. We observed an association between the cumulative number of experienced childhood maltreatment and increased risk of being diagnosed with any endocrine disease (adjusted hazard ratio (HR) = 1.10, 95% confidence interval 1.09-1.12). The HR was 1.26 (1.22-1.30) when comparing individuals ≥ 2 with those with < 2 experienced childhood maltreatment. We further noted the most pronounced associations for type 2 diabetes (1.40 (1.33-1.48)) and hypothalamic-pituitary-adrenal (HPA)-axis-related endocrine diseases (1.38 (1.17-1.62)), and the association was stronger for having multiple endocrine diseases, compared to having one (odds ratio (95% CI) = 1.24 (1.19-1.30), 1.35 (1.27-1.44), and 1.52 (1.52-1.53) for 1, 2, and ≥ 3, respectively). Sequential mediation analyses showed that the association between childhood maltreatment and endocrine diseases was consistently and most distinctly mediated by psychological adversities (15.38 ~ 44.97%), while unfavorable lifestyle (10.86 ~ 25.32%) was additionally noted for type 2 diabetes whereas suboptimal SES (14.42 ~ 39.33%) for HPA-axis-related endocrine diseases. CONCLUSIONS Our study demonstrates that adverse psychological sequel of childhood maltreatment constitutes the main pathway to multiple endocrine diseases, particularly type 2 diabetes and HPA-axis-related endocrine diseases. Therefore, increased access to evidence-based mental health services may also be pivotal in reducing the risk of endocrine diseases among childhood maltreatment-exposed individuals.
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Affiliation(s)
- Shu Wen
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
| | - Jianwei Zhu
- Department of Orthopedic Surgery, West China Hospital, Sichuan University, Chengdu, China
| | - Xin Han
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yuchen Li
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Mental Health Center, West China Hospital, Sichuan University, Chengdu, China
| | - Haowen Liu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Huazhen Yang
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Can Hou
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Shishi Xu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Division of Endocrinology & Metabolism, West China Hospital, Sichuan University, Chengdu, China
| | - Junren Wang
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yao Hu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Yuanyuan Qu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
| | - Di Liu
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China
- Med-X Center for Informatics, Sichuan University, Chengdu, China
- Sichuan University - Pittsburgh Institute, Sichuan University, Chengdu, China
| | - Thor Aspelund
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
| | - Fang Fang
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Unnur A Valdimarsdóttir
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland
- Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden
- Department of Epidemiology, Harvard T H Chan School of Public Health, Boston, MA, USA
| | - Huan Song
- Mental Health Center and West China Biomedical Big Data Center West China Hospital, Sichuan University, Guo Xue Lane 37, Chengdu, China.
- Med-X Center for Informatics, Sichuan University, Chengdu, China.
- Center of Public Health Sciences, Faculty of Medicine, University of Iceland, Reykjavík, Iceland.
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Liu J, Yao C, Wang Y, Zhao J, Luo H. Non-drug interventions of traditional Chinese medicine in preventing type 2 diabetes: a review. Chin Med 2023; 18:151. [PMID: 37964315 PMCID: PMC10644617 DOI: 10.1186/s13020-023-00854-1] [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: 07/12/2023] [Accepted: 10/23/2023] [Indexed: 11/16/2023] Open
Abstract
Traditional Chinese medicine (TCM) is increasingly used to manage type 2 diabetes and its nonpharmacological interventions are showing potential for preventing type 2 diabetes. This study mainly reviews relevant research. The most mentioned non-drug treatments for preventing type 2 diabetes in TCM are healthy diet, physical activity, emotional therapy, and acupuncture. In most studies, blood glucose status in patients with prediabetes and type 2 diabetes was significantly improved after TCM non-drug interventions, and there was no significant difference between the adverse effect of TCM and control groups or other intervention groups, while the methodological quality of the clinical trials involving TCM generally kept a low level. The effectiveness of TCM in preventing type 2 diabetes has yet to be validated in large randomized controlled trials and the underlying mechanism also needs further exploration.
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Affiliation(s)
- Jingying Liu
- Macau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao, 999078, People's Republic of China
| | - Chun Yao
- Guangxi University of Chinese Medicine, Nanning, 530001, People's Republic of China
| | - Yitao Wang
- Macau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao, 999078, People's Republic of China
| | - Jinmin Zhao
- College of Pharmacy, Guangxi Medical University, Nanning, 530021, People's Republic of China.
| | - Hua Luo
- Macau Centre for Research and Development in Chinese Medicine, State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese Medical Sciences, University of Macau, Macao, 999078, People's Republic of China.
- College of Pharmacy, Guangxi Medical University, Nanning, 530021, People's Republic of China.
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