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Li H, Seugnet L. Decoding the nexus: branched-chain amino acids and their connection with sleep, circadian rhythms, and cardiometabolic health. Neural Regen Res 2025; 20:1350-1363. [PMID: 39075896 DOI: 10.4103/nrr.nrr-d-23-02020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 05/12/2024] [Indexed: 07/31/2024] Open
Abstract
The sleep-wake cycle stands as an integrative process essential for sustaining optimal brain function and, either directly or indirectly, overall body health, encompassing metabolic and cardiovascular well-being. Given the heightened metabolic activity of the brain, there exists a considerable demand for nutrients in comparison to other organs. Among these, the branched-chain amino acids, comprising leucine, isoleucine, and valine, display distinctive significance, from their contribution to protein structure to their involvement in overall metabolism, especially in cerebral processes. Among the first amino acids that are released into circulation post-food intake, branched-chain amino acids assume a pivotal role in the regulation of protein synthesis, modulating insulin secretion and the amino acid sensing pathway of target of rapamycin. Branched-chain amino acids are key players in influencing the brain's uptake of monoamine precursors, competing for a shared transporter. Beyond their involvement in protein synthesis, these amino acids contribute to the metabolic cycles of γ-aminobutyric acid and glutamate, as well as energy metabolism. Notably, they impact GABAergic neurons and the excitation/inhibition balance. The rhythmicity of branched-chain amino acids in plasma concentrations, observed over a 24-hour cycle and conserved in rodent models, is under circadian clock control. The mechanisms underlying those rhythms and the physiological consequences of their disruption are not fully understood. Disturbed sleep, obesity, diabetes, and cardiovascular diseases can elevate branched-chain amino acid concentrations or modify their oscillatory dynamics. The mechanisms driving these effects are currently the focal point of ongoing research efforts, since normalizing branched-chain amino acid levels has the ability to alleviate the severity of these pathologies. In this context, the Drosophila model, though underutilized, holds promise in shedding new light on these mechanisms. Initial findings indicate its potential to introduce novel concepts, particularly in elucidating the intricate connections between the circadian clock, sleep/wake, and metabolism. Consequently, the use and transport of branched-chain amino acids emerge as critical components and orchestrators in the web of interactions across multiple organs throughout the sleep/wake cycle. They could represent one of the so far elusive mechanisms connecting sleep patterns to metabolic and cardiovascular health, paving the way for potential therapeutic interventions.
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Affiliation(s)
- Hui Li
- Department of Neurology, Xijing Hospital, Xi'an, Shaanxi Province, China
| | - Laurent Seugnet
- Centre de Recherche en Neurosciences de Lyon, Integrated Physiology of the Brain Arousal Systems (WAKING), Université Claude Bernard Lyon 1, INSERM U1028, CNRS UMR 5292, Bron, France
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Healy DR, Zarei I, Mikkonen S, Soininen S, Viitasalo A, Haapala EA, Auriola S, Hanhineva K, Kolehmainen M, Lakka TA. Longitudinal associations of an exposome score with serum metabolites from childhood to adolescence. Commun Biol 2024; 7:890. [PMID: 39039257 PMCID: PMC11263428 DOI: 10.1038/s42003-024-06146-0] [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: 05/24/2023] [Accepted: 04/05/2024] [Indexed: 07/24/2024] Open
Abstract
Environmental and lifestyle factors, including air pollution, impaired diet, and low physical activity, have been associated with cardiometabolic risk factors in childhood and adolescence. However, environmental and lifestyle exposures do not exert their physiological effects in isolation. This study investigated associations between an exposome score to measure the impact of multiple exposures, including diet, physical activity, sleep duration, air pollution, and socioeconomic status, and serum metabolites measured using LC-MS and NMR, compared to the individual components of the score. A general population of 504 children aged 6-9 years at baseline was followed up for eight years. Data were analysed with linear mixed-effects models using the R software. The exposome score was associated with 31 metabolites, of which 12 metabolites were not associated with any individual exposure category. These findings highlight the value of a composite score to predict metabolic changes associated with multiple environmental and lifestyle exposures since childhood.
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Affiliation(s)
- Darren R Healy
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland.
| | - Iman Zarei
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
| | - Santtu Mikkonen
- Department of Environmental and Biological Sciences, University of Eastern Finland, Kuopio Campus, Finland
- Department of Technical Physics, University of Eastern Finland, Kuopio Campus, Finland
| | - Sonja Soininen
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
- Physician and Nursing Services, Health and Social Services Centre, Wellbeing Services County of North Savo, Varkaus, Finland
| | - Anna Viitasalo
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
| | - Eero A Haapala
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
- Faculty of Sport and Health Sciences, University of Jyväskylä, Jyväskylä, Finland
| | - Seppo Auriola
- School of Pharmacy, Faculty of Health Sciences, University of Eastern Finland, Kuopio Campus, Finland
- LC-MS Metabolomics Center, Biocenter Kuopio, Kuopio, Finland
| | - Kati Hanhineva
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
- Food Sciences Unit, Department of Life Technologies, University of Turku, Turku, Finland
| | - Marjukka Kolehmainen
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Campus, Finland
| | - Timo A Lakka
- Institute of Biomedicine, University of Eastern Finland, Kuopio Campus, Finland
- Department of Clinical Physiology and Nuclear Medicine, Kuopio University Hospital, Kuopio, Finland
- Kuopio Research Institute of Exercise Medicine, Kuopio, Finland
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Wang J, Sui WN, Zhao YQ, Meng SY, Han WX, Ni J. Genetic evidence for the causal impact of insomnia on gastrointestinal diseases and the mediating effects of adiposity traits. J Gastroenterol Hepatol 2024. [PMID: 38981855 DOI: 10.1111/jgh.16678] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Revised: 06/12/2024] [Accepted: 06/24/2024] [Indexed: 07/11/2024]
Abstract
BACKGROUND AND AIM Insomnia has been implicated in gastrointestinal diseases (GIs), but the causal effect between insomnia and GIs and underlying mechanisms remain unknown. METHODS By using the released summary-level data, we conducted a two-step Mendelian randomization (MR) analysis to examine the relationship between insomnia and four GIs and estimate the mediating role of candidate mediators. The first step was to investigate the causal association between insomnia and GIs using univariable MR analysis. The second step was to estimate the mediation proportion of selected mediators in these associations using multivariable MR analysis. Subsequently, results from different datasets were combined using the fixed-effect meta-analysis. RESULTS Univariable MR analysis provided strong evidence for the causal effects of insomnia on four GIs after Bonferroni correction for multiple comparisons, including peptic ulcer disease (PUD) (odds ratio [OR] = 1.15, 95% interval confidence [CI] = 1.10-1.20, P = 1.83 × 10-9), gastroesophageal reflux (GORD) (OR = 1.19, 95% CI = 1.16-1.22, P = 5.95 × 10-42), irritable bowel syndrome (IBS) (OR = 1.18, 95% CI = 1.15-1.22, P = 8.69 × 10-25), and inflammatory bowel disease (IBD) (OR = 1.09, 95% CI = 1.03-1.05, P = 3.46 × 10-3). In the mediation analysis, body mass index (BMI) and waist-to-hip ratio (WHR) were selected as mediators in the association between insomnia and PUD (BMI: mediation proportion [95% CI]: 13.61% [7.64%-20.70%]; WHR: 8.74% [5.50%-12.44%]) and GORD (BMI: 11.82% [5.94%-18.74%]; WHR: 7.68% [4.73%-11.12%]). CONCLUSIONS Our findings suggest that genetically instrumented insomnia has causal effects on PUD, GORD, IBS, and IBD, respectively. Adiposity traits partially mediated the associations between insomnia and GIs. Further clinical studies are warranted to evaluate the protective effect of insomnia treatment on GIs.
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Affiliation(s)
- Jing Wang
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Wan-Nian Sui
- Department of Gastrointestinal Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Yu-Qiang Zhao
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Shi-Yin Meng
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, China
| | - Wen-Xiu Han
- Department of Gastrointestinal Surgery, Department of General Surgery, The First Affiliated Hospital of Anhui Medical University, Hefei, China
| | - Jing Ni
- Department of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China
- Inflammation and Immune-Mediated Diseases Laboratory of Anhui Province, Hefei, China
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Zhu J, Zhang S, Zhu Z, Wang J, Kang T, Li X, Zhao Y, Zhu L. Knowledge, attitude and practice towards insomnia and sleep hygiene among patients with chronic insomnia in Northwest China in 2023: a cross-sectional survey. BMJ Open 2024; 14:e083100. [PMID: 38910008 PMCID: PMC11328641 DOI: 10.1136/bmjopen-2023-083100] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 06/25/2024] Open
Abstract
OBJECTIVES To investigate the knowledge, attitude and practice (KAP) towards insomnia and sleep hygiene among patients with chronic insomnia. DESIGN Web-based cross-sectional survey. SETTING Shaanxi Provincial People's Hospital (northwest China) between January 2023 and May 2023. PARTICIPANTS Patients with chronic insomnia. PRIMARY AND SECONDARY OUTCOME MEASURES Demographic characteristics and KAP towards insomnia and sleep hygiene were collected by distributing a questionnaire developed by the authors. RESULTS A total of 613 people participated in this study, with a Mean Knowledge Score of 7.63±2.56 (total score of 12), a Mean Attitude Score of 48.39±6.643 (total score of 70) and a Mean Practice Score of 42.37±8.592 (total score of 70). Knowledge was significantly correlated with attitude (r=0.447, p<0.001) and practice (r=0.327, p<0.001), and attitude was significantly correlated with practice (r=0.486, p<0.001). Multivariable logistic regression showed that higher knowledge (OR=1.181 (1.062-1.314), p=0.002) and better attitude (OR=1.171 (1.124-1.221), p<0.001) were independently associated with good practice. According to the structural equation modelling analysis, knowledge directly influenced practice (β=0.457, p=<0.001) and attitude (β=1.160, p=<0.001), while attitude influenced practice (β=0.550, p=<0.001). CONCLUSION The KAP towards insomnia and sleep hygiene among patients with chronic insomnia in Northwest China in 2023 was moderate, with better practice showing signs of being influenced by better knowledge and more positive attitudes.
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Affiliation(s)
- Jing Zhu
- Department of Anesthesiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
- Xi'an Medical University, Xi'an, Shaanxi, China
| | - Shiping Zhang
- Department of Anesthesiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
- Xi'an Medical University, Xi'an, Shaanxi, China
| | - Zhibo Zhu
- Department of Medical Equipment, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
| | - Jinghua Wang
- Department of Anesthesiology, The 305 Hospital of PLA, Beijing, China
| | - Tao Kang
- Department of Anesthesiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
- Xi'an Medical University, Xi'an, Shaanxi, China
| | - Xin Li
- Department of Anesthesiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
- Xi'an Medical University, Xi'an, Shaanxi, China
| | - Yikang Zhao
- Department of Anesthesiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
- Xi'an Medical University, Xi'an, Shaanxi, China
| | - Lijuan Zhu
- Department of Anesthesiology, Shaanxi Provincial People's Hospital, Xi'an, Shaanxi, China
- Xi'an Medical University, Xi'an, Shaanxi, China
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Yan J, Zhang X, Zhu K, Yu M, Liu Q, De Felici M, Zhang T, Wang J, Shen W. Sleep deprivation causes gut dysbiosis impacting on systemic metabolomics leading to premature ovarian insufficiency in adolescent mice. Theranostics 2024; 14:3760-3776. [PMID: 38948060 PMCID: PMC11209713 DOI: 10.7150/thno.95197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2024] [Accepted: 06/06/2024] [Indexed: 07/02/2024] Open
Abstract
Rationale: Currently, there are occasional reports of health problems caused by sleep deprivation (SD). However, to date, there remains a lack of in-depth research regarding the effects of SD on the growth and development of oocytes in females. The present work aimed to investigate whether SD influences ovarian folliculogenesis in adolescent female mice. Methods: Using a dedicated device, SD conditions were established in 3-week old female mice (a critical stage of follicular development) for 6 weeks and gut microbiota and systemic metabolomics were analyzed. Analyses were related to parameters of folliculogenesis and reproductive performance of SD females. Results: We found that the gut microbiota and systemic metabolomics were severely altered in SD females and that these were associated with parameters of premature ovarian insufficiency (POI). These included increased granulosa cell apoptosis, reduced numbers of primordial follicles (PmFs), correlation with decreased AMH, E2, and increased LH in blood serum, and a parallel increased number of growing follicles and changes in protein expression compatible with PmF activation. SD also reduced oocyte maturation and reproductive performance. Notably, fecal microbial transplantation from SD females into normal females induced POI parameters in the latter while niacinamide (NAM) supplementation alleviated such symptoms in SD females. Conclusion: Gut microbiota and alterations in systemic metabolomics caused by SD induced POI features in juvenile females that could be counteracted with NAM supplementation.
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Affiliation(s)
- Jiamao Yan
- College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010021, China
| | - Xiaoyuan Zhang
- College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010021, China
| | - Kexin Zhu
- College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Mubin Yu
- College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Qingchun Liu
- College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Massimo De Felici
- Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome 00133, Italy
| | - Teng Zhang
- State Key Laboratory of Reproductive Regulation and Breeding of Grassland Livestock, College of Life Sciences, Inner Mongolia University, Hohhot 010021, China
| | - Junjie Wang
- College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
| | - Wei Shen
- College of Life Sciences, Qingdao Agricultural University, Qingdao 266109, China
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6
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Chuang HH, Huang CG, Chou SH, Li HY, Lee CC, Lee LA. Comparative analysis of gut microbiota in children with obstructive sleep apnea: assessing the efficacy of 16S rRNA gene sequencing in metabolic function prediction based on weight status. Front Endocrinol (Lausanne) 2024; 15:1344152. [PMID: 38948515 PMCID: PMC11211266 DOI: 10.3389/fendo.2024.1344152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Accepted: 05/13/2024] [Indexed: 07/02/2024] Open
Abstract
Background Analyzing bacterial microbiomes consistently using next-generation sequencing (NGS) is challenging due to the diversity of synthetic platforms for 16S rRNA genes and their analytical pipelines. This study compares the efficacy of full-length (V1-V9 hypervariable regions) and partial-length (V3-V4 hypervariable regions) sequencing of synthetic 16S rRNA genes from human gut microbiomes, with a focus on childhood obesity. Methods In this observational and comparative study, we explored the differences between these two sequencing methods in taxonomic categorization and weight status prediction among twelve children with obstructive sleep apnea. Results The full-length NGS method by Pacbio® identified 118 genera and 248 species in the V1-V9 regions, all with a 0% unclassified rate. In contrast, the partial-length NGS method by Illumina® detected 142 genera (with a 39% unclassified rate) and 6 species (with a 99% unclassified rate) in the V3-V4 regions. These approaches showed marked differences in gut microbiome composition and functional predictions. The full-length method distinguished between obese and non-obese children using the Firmicutes/Bacteroidetes ratio, a known obesity marker (p = 0.046), whereas the partial-length method was less conclusive (p = 0.075). Additionally, out of 73 metabolic pathways identified through full-length sequencing, 35 (48%) were associated with level 1 metabolism, compared to 28 of 61 pathways (46%) identified through the partial-length method. The full-length NGS also highlighted complex associations between body mass index z-score, three bacterial species (Bacteroides ovatus, Bifidobacterium pseudocatenulatum, and Streptococcus parasanguinis ATCC 15912), and 17 metabolic pathways. Both sequencing techniques revealed relationships between gut microbiota composition and OSA-related parameters, with full-length sequencing offering more comprehensive insights into associated metabolic pathways than the V3-V4 technique. Conclusion These findings highlight disparities in NGS-based assessments, emphasizing the value of full-length NGS with amplicon sequence variant analysis for clinical gut microbiome research. They underscore the importance of considering methodological differences in future meta-analyses.
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Affiliation(s)
- Hai-Hua Chuang
- Department of Family Medicine, Chang Gung Memorial Hospital, Taipei Branch and Linkou Main Branch, Taoyuan, Taiwan
- School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Sleep Center, Metabolism and Obesity Institute, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- School of Medicine, College of Life Science and Medicine, National Tsing Hua University, Hsinchu, Taiwan
- Department of Industrial Engineering and Management, National Taipei University of Technology, Taipei, Taiwan
| | - Chung-Guei Huang
- Department of Laboratory Medicine, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Medical Biotechnology and Laboratory Science, Chang Gung University, Taoyuan, Taiwan
| | - Shih-Hsuan Chou
- Graduate Institute of Biomedical and Pharmaceutical Science, Fu Jen Catholic University, New Taipei City, Taiwan
- Biotools Co., Ltd., New Taipei City, Taiwan
| | - Hsueh-Yu Li
- School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Sleep Center, Metabolism and Obesity Institute, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- Department of Otorhinolaryngology - Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
| | - Chin-Chia Lee
- Taipei Wego Private Bilingual Senior High School, Taipei, Taiwan
| | - Li-Ang Lee
- School of Medicine, College of Medicine, Chang Gung University, Taoyuan, Taiwan
- Sleep Center, Metabolism and Obesity Institute, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
- School of Medicine, College of Life Science and Medicine, National Tsing Hua University, Hsinchu, Taiwan
- Department of Otorhinolaryngology - Head and Neck Surgery, Linkou Chang Gung Memorial Hospital, Taoyuan, Taiwan
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7
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Ge S, Wu K, Li S, Li R, Yang C. Machine learning methods for adult OSAHS risk prediction. BMC Health Serv Res 2024; 24:706. [PMID: 38840121 PMCID: PMC11151612 DOI: 10.1186/s12913-024-11081-1] [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: 02/03/2024] [Accepted: 05/07/2024] [Indexed: 06/07/2024] Open
Abstract
BACKGROUND Obstructive sleep apnea hypopnea syndrome (OSAHS) is a common disease that can cause multiple organ damage in the whole body. Our aim was to use machine learning (ML) to build an independent polysomnography (PSG) model to analyze risk factors and predict OSAHS. MATERIALS AND METHODS Clinical data of 2064 snoring patients who underwent physical examination in the Health Management Center of the First Affiliated Hospital of Shanxi Medical University from July 2018 to July 2023 were retrospectively collected, involving 24 characteristic variables. Then they were randomly divided into training group and verification group according to the ratio of 7:3. By analyzing the importance of these features, it was concluded that LDL-C, Cr, common carotid artery plaque, A1c and BMI made major contributions to OSAHS. Moreover, five kinds of machine learning algorithm models such as logistic regression, support vector machine, Boosting, Random Forest and MLP were further established, and cross validation was used to adjust the model hyperparameters to determine the final prediction model. We compared the accuracy, Precision, Recall rate, F1-score and AUC indexes of the model, and finally obtained that MLP was the optimal model with an accuracy of 85.80%, Precision of 0.89, Recall of 0.75, F1-score of 0.82, and AUC of 0.938. CONCLUSION We established the risk prediction model of OSAHS using ML method, and proved that the MLP model performed best among the five ML models. This predictive model helps to identify patients with OSAHS and provide early, personalized diagnosis and treatment options.
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Affiliation(s)
- Shanshan Ge
- Health Management Center, the First Hospital of Shanxi Medical University, Taiyuan, 030001, China.
| | - Kainan Wu
- Health Management Center, the First Hospital of Shanxi Medical University, Taiyuan, 030001, China
| | - Shuhui Li
- Nursing College of Shanxi Medical University, Taiyuan, 030001, China
| | - Ruiling Li
- Nursing College of Shanxi Medical University, Taiyuan, 030001, China
| | - Caizheng Yang
- Nursing College of Shanxi Medical University, Taiyuan, 030001, China
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Zhang Y, Spitzer BW, Zhang Y, Wallace DA, Yu B, Qi Q, Argos M, Avilés-Santa ML, Boerwinkle E, Daviglus ML, Kaplan R, Cai J, Redline S, Sofer T. Untargeted Metabolome Atlas for Sleep Phenotypes in the Hispanic Community Health Study/Study of Latinos. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.05.17.24307286. [PMID: 38798578 PMCID: PMC11118618 DOI: 10.1101/2024.05.17.24307286] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Sleep is essential to maintaining health and wellbeing of individuals, influencing a variety of outcomes from mental health to cardiometabolic disease. This study aims to assess the relationships between various sleep phenotypes and blood metabolites. Utilizing data from the Hispanic Community Health Study/Study of Latinos, we performed association analyses between 40 sleep phenotypes, grouped in several domains (i.e., sleep disordered breathing (SDB), sleep duration, timing, insomnia symptoms, and heart rate during sleep), and 768 metabolites measured via untargeted metabolomics profiling. Network analysis was employed to visualize and interpret the associations between sleep phenotypes and metabolites. The patterns of statistically significant associations between sleep phenotypes and metabolites differed by superpathways, and highlighted subpathways of interest for future studies. For example, some xenobiotic metabolites were associated with sleep duration and heart rate phenotypes (e.g. 1H-indole-7-acetic acid, 4-allylphenol sulfate), while ketone bodies and fatty acid metabolism metabolites were associated with sleep timing measures (e.g. 3-hydroxybutyrate (BHBA), 3-hydroxyhexanoylcarnitine (1)). Heart rate phenotypes had the overall largest number of detected metabolite associations. Many of these associations were shared with both SDB and with sleep timing phenotypes, while SDB phenotypes shared relatively few metabolite associations with sleep duration measures. A number of metabolites were associated with multiple sleep phenotypes, from a few domains. The amino acids vanillylmandelate (VMA) and 1-carboxyethylisoleucine were associated with the greatest number of sleep phenotypes, from all domains other than insomnia. This atlas of sleep-metabolite associations will facilitate hypothesis generation and further study of the metabolic underpinnings of sleep health.
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Affiliation(s)
- Ying Zhang
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Brian W Spitzer
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Yu Zhang
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Danielle A Wallace
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Bing Yu
- Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
| | - Maria Argos
- Department of Epidemiology and Biostatistics, School of Public Health, University of Illinois Chicago, Chicago, IL, USA
- Department of Environmental Health, School of Public Health, Boston University, Boston, MA, USA
| | - M Larissa Avilés-Santa
- Division of Clinical and Health Services Research, National Institute on Minority Health and Health Disparities, National Institutes of Health, Bethesda, MD, USA
| | - Eric Boerwinkle
- Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Martha L Daviglus
- Institute for Minority Health Research, University of Illinois at Chicago, Chicago, IL, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, USA
- Division of Public Health Sciences, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Jianwen Cai
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Susan Redline
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Tamar Sofer
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
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9
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Yan H, Li G, Zhang X, Zhang C, Li M, Qiu Y, Sun W, Dong Y, Li S, Li J. Targeted metabolomics-based understanding of the sleep disturbances in drug-naïve patients with schizophrenia. BMC Psychiatry 2024; 24:355. [PMID: 38741058 DOI: 10.1186/s12888-024-05805-0] [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: 02/05/2024] [Accepted: 04/30/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Sleep disturbances are a common occurrence in patients with schizophrenia, yet the underlying pathogenesis remain poorly understood. Here, we performed a targeted metabolomics-based approach to explore the potential biological mechanisms contributing to sleep disturbances in schizophrenia. METHODS Plasma samples from 59 drug-naïve patients with schizophrenia and 36 healthy controls were subjected to liquid chromatography-mass spectrometry (LC-MS) targeted metabolomics analysis, allowing for the quantification and profiling of 271 metabolites. Sleep quality and clinical symptoms were assessed using the Pittsburgh Sleep Quality Index (PSQI) and the Positive and Negative Symptom Scale (PANSS), respectively. Partial correlation analysis and orthogonal partial least squares discriminant analysis (OPLS-DA) model were used to identify metabolites specifically associated with sleep disturbances in drug-naïve schizophrenia. RESULTS 16 characteristic metabolites were observed significantly associated with sleep disturbances in drug-naïve patients with schizophrenia. Furthermore, the glycerophospholipid metabolism (Impact: 0.138, p<0.001), the butanoate metabolism (Impact: 0.032, p=0.008), and the sphingolipid metabolism (Impact: 0.270, p=0.104) were identified as metabolic pathways associated with sleep disturbances in drug-naïve patients with schizophrenia. CONCLUSIONS Our study identified 16 characteristic metabolites (mainly lipids) and 3 metabolic pathways related to sleep disturbances in drug-naïve schizophrenia. The detection of these distinct metabolites provide valuable insights into the underlying biological mechanisms associated with sleep disturbances in schizophrenia.
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Affiliation(s)
- Huiming Yan
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Rd., Hexi District, Tianjin, 300222, China
| | - Gang Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Rd., Hexi District, Tianjin, 300222, China
- Chifeng Anding Hospital, NO.18 Gongger Street, Hongshan District, Chifeng City, 024000, Inner Mongolia Autonomous Region, China
| | - Xue Zhang
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Rd., Hexi District, Tianjin, 300222, China
- Chifeng Anding Hospital, NO.18 Gongger Street, Hongshan District, Chifeng City, 024000, Inner Mongolia Autonomous Region, China
| | - Chuhao Zhang
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Rd., Hexi District, Tianjin, 300222, China
| | - Meijuan Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Rd., Hexi District, Tianjin, 300222, China
| | - Yuying Qiu
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Rd., Hexi District, Tianjin, 300222, China
| | - Wei Sun
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Rd., Hexi District, Tianjin, 300222, China
| | - Yeqing Dong
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Rd., Hexi District, Tianjin, 300222, China
| | - Shen Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Rd., Hexi District, Tianjin, 300222, China.
| | - Jie Li
- Laboratory of Biological Psychiatry, Institute of Mental Health, Tianjin Anding Hospital, Mental Health Center of Tianjin Medical University, 13 Liulin Rd., Hexi District, Tianjin, 300222, China.
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10
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Even C, Magzal F, Shochat T, Haimov I, Agmon M, Tamir S. Microbiota Metabolite Profiles and Dietary Intake in Older Individuals with Insomnia of Short vs. Normal Sleep Duration. Biomolecules 2024; 14:419. [PMID: 38672436 PMCID: PMC11047947 DOI: 10.3390/biom14040419] [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: 02/19/2024] [Revised: 03/23/2024] [Accepted: 03/27/2024] [Indexed: 04/28/2024] Open
Abstract
Recent evidence suggests that the gut microbiota plays a role in insomnia pathogenesis. This study compared the dietary habits and microbiota metabolites of older adults with insomnia of short vs. normal sleep duration (ISSD and INSD, respectively). Data collection included sleep assessment through actigraphy, dietary analysis using the Food Frequency Questionnaire, and metabolomic profiling of stool samples. The results show that ISSD individuals had higher body mass index and a greater prevalence of hypertension. Significant dietary differences were observed, with the normal sleep group consuming more kilocalories per day and specific aromatic amino acids (AAAs) phenylalanine and tyrosine and branch-chain amino acid (BCAA) valine per protein content than the short sleep group. Moreover, metabolomic analysis identified elevated levels of the eight microbiota metabolites, benzophenone, pyrogallol, 5-aminopental, butyl acrylate, kojic acid, deoxycholic acid (DCA), trans-anethole, and 5-carboxyvanillic acid, in the short compared to the normal sleep group. The study contributes to the understanding of the potential role of dietary and microbial factors in insomnia, particularly in the context of sleep duration, and opens avenues for targeted dietary interventions and gut microbiota modulation as potential therapeutic approaches for treating insomnia.
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Affiliation(s)
- Carmel Even
- Nutritional Science Department, Tel Hai College, Upper Galilee, Kiryat Shmona 1220800, Israel (S.T.)
| | - Faiga Magzal
- Nutritional Science Department, Tel Hai College, Upper Galilee, Kiryat Shmona 1220800, Israel (S.T.)
- Laboratory of Human Health and Nutrition Sciences, MIGAL-Galilee Research Institute, Kiryat Shmona 11016, Israel
| | - Tamar Shochat
- The Cheryl Spencer Department of Nursing, University of Haifa, Haifa 3103301, Israel; (T.S.)
| | - Iris Haimov
- Department of Psychology and the Center for Psychobiological Research, The Max Stern Yezreel Valley College, Affula 19300, Israel;
| | - Maayan Agmon
- The Cheryl Spencer Department of Nursing, University of Haifa, Haifa 3103301, Israel; (T.S.)
| | - Snait Tamir
- Nutritional Science Department, Tel Hai College, Upper Galilee, Kiryat Shmona 1220800, Israel (S.T.)
- Laboratory of Human Health and Nutrition Sciences, MIGAL-Galilee Research Institute, Kiryat Shmona 11016, Israel
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11
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Kamata Y, Takashio O, Sato R, Kawai H, Ishii H, Aoyagi K, Tomita A, Toda S, Iwanami A. Relationship Between Insomnia and Continued Outpatient Treatment in Psychiatric Patients. Neuropsychiatr Dis Treat 2024; 20:697-723. [PMID: 38559773 PMCID: PMC10981878 DOI: 10.2147/ndt.s454757] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 03/15/2024] [Indexed: 04/04/2024] Open
Abstract
Purpose Sleep plays an essential role in maintaining both physical and mental well-being. Many patients in psychiatric outpatient settings complain of insomnia. However, the causal relationship between insomnia and depressive symptoms in all mental illnesses remains unclear. Moreover, research on insomnia and the continuation of outpatient treatment is lacking. We hypothesize a high correlation between depression and insomnia among patients with diverse mental illnesses. Additionally, we posit that insomnia significantly influences the continuity of outpatient visits. To this end, we evaluated insomnia and depression symptoms in psychiatric patients both at their initial visit and one year later. We also examined factors related to insomnia at the outset and factors associated with the ongoing utilization of outpatient treatment. Patients and Methods The participants of the study consisted of patients who made their first visit to the outpatient department of psychiatry and neurology at Showa University East Hospital between June 1, 2021, and March 31, 2023, and who continued attending the outpatient clinic for one year. Clinical characteristics were assessed using the Self-rating Depression Scale (SDS) and the Athens Insomnia Scale (AIS). Results The study's findings were collected from a cohort of 1106 patients and revealed that more than 70% experienced insomnia at the time of their initial visit. In total 137 patients continued to receive outpatient treatment for one year, and their AIS scores improved from 9 points to 5 points. A multivariate analysis revealed that the SDS items of depressed mood and insomnia were confounding factors influencing AIS improvement. Conclusion Given that 70% of patients complained of insomnia at the time of their first visit and that sleep improved in many of the 12.4% of patients who continued to receive outpatient treatment for at least one year, the results suggest that sleep status is an important determinant of whether a patient continues to attend outpatient clinics.
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Affiliation(s)
- Yukinori Kamata
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
- Department of Psychiatry and Neurology, Showa University East Hospital, Tokyo, Japan
| | - Osamu Takashio
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
- Department of Psychiatry and Neurology, Showa University East Hospital, Tokyo, Japan
| | - Ryotaro Sato
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
- Department of Psychiatry and Neurology, Showa University East Hospital, Tokyo, Japan
| | - Hideaki Kawai
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
- Department of Psychiatry and Neurology, Showa University East Hospital, Tokyo, Japan
| | - Hiroki Ishii
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
- Department of Psychiatry and Neurology, Showa University East Hospital, Tokyo, Japan
| | - Keisuke Aoyagi
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
- Department of Psychiatry and Neurology, Showa University East Hospital, Tokyo, Japan
| | - Akisa Tomita
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
- Department of Psychiatry and Neurology, Showa University East Hospital, Tokyo, Japan
| | - Shigenobu Toda
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
- Department of Psychiatry and Neurology, Showa University East Hospital, Tokyo, Japan
| | - Akira Iwanami
- Department of Psychiatry, Showa University School of Medicine, Tokyo, Japan
- Department of Psychiatry and Neurology, Showa University East Hospital, Tokyo, Japan
- Showa University Karasuyama Hospital, Tokyo, Japan
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12
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Chu Y, Zhang Y, Liu J, Du C, Yan Y. An integrated liver, hippocampus and serum metabolomics based on UPLC-Q-TOF-MS revealed the therapeutical mechanism of Ziziphi Spinosae Semen in p-chlorophenylalanine-induced insomnia rats. Biomed Chromatogr 2024; 38:e5796. [PMID: 38009807 DOI: 10.1002/bmc.5796] [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: 10/07/2023] [Revised: 11/07/2023] [Accepted: 11/09/2023] [Indexed: 11/29/2023]
Abstract
Ziziphi Spinosae Semen (ZSS), a well-known herbal medicine for treating insomnia, is popular in not only China but also in Europe, India and Iran. However, its underlying mechanisms remain unclear. In this work, taking the targeted organs of insomnia, the liver and hippocampus, as the objects, a combination metabolomics based on ultra-high performance liquid chromatography coupled with quadrupole time-of-flight mass spectrometry (UPLC-Q-TOF-MS) was established to illustrate the abnormality of metabolic characteristics of the liver, hippocampus and serum of p-chlorophenylalanine (PCPA)-induced insomnia rats and to demonstrate the mechanism of ZSS in treating insomnia. The results showed that ZSS could restore the brain cell morphology, decrease the degree of hepatocyte necrosis and regulate the disturbance of neurotransmitters and hormones in insomnia rats. In terms of metabolomics, a total of 33 liver metabolites, 25 hippocampal metabolites and 18 serum metabolites were finally selected as the potential biomarkers and an important pathway of phenylalanine, tyrosine and tryptophan biosynthesis was common in three tissues in PCPA rats. Meanwhile, ZSS significantly reversed the levels of 23 liver metabolites, 15 hippocampal metabolites and 5 serum metabolites. The present study demonstrates the actions of ZSS in treating insomnia by enhancing both cerebral and hepatic functions.
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Affiliation(s)
- Yingxin Chu
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China
| | - Yinjie Zhang
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China
| | - Jiaxing Liu
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China
| | - Chenhui Du
- School of Traditional Chinese Materia Medica, Shanxi University of Chinese Medicine, Taiyuan, China
| | - Yan Yan
- Modern Research Center for Traditional Chinese Medicine, Shanxi University, Taiyuan, China
- Shanxi Dayi Hospital affiliated to Shanxi Medical University, Taiyuan, China
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13
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Zhang Y, Yu B, Qi Q, Azarbarzin A, Chen H, Shah NA, Ramos AR, Zee PC, Cai J, Daviglus ML, Boerwinkle E, Kaplan R, Liu PY, Redline S, Sofer T. Metabolomic profiles of sleep-disordered breathing are associated with hypertension and diabetes mellitus development. Nat Commun 2024; 15:1845. [PMID: 38418471 PMCID: PMC10902315 DOI: 10.1038/s41467-024-46019-y] [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: 07/14/2023] [Accepted: 02/12/2024] [Indexed: 03/01/2024] Open
Abstract
Sleep-disordered breathing (SDB) is a prevalent disorder characterized by recurrent episodic upper airway obstruction. Using data from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), we apply principal component analysis (PCA) to seven SDB-related measures. We estimate the associations of the top two SDB PCs with serum levels of 617 metabolites, in both single-metabolite analysis, and a joint penalized regression analysis. The discovery analysis includes 3299 individuals, with validation in a separate dataset of 1522 individuals. Five metabolite associations with SDB PCs are discovered and replicated. SDB PC1, characterized by frequent respiratory events common in older and male adults, is associated with pregnanolone and progesterone-related sulfated metabolites. SDB PC2, characterized by short respiratory event length and self-reported restless sleep, enriched in young adults, is associated with sphingomyelins. Metabolite risk scores (MRSs), representing metabolite signatures associated with the two SDB PCs, are associated with 6-year incident hypertension and diabetes. These MRSs have the potential to serve as biomarkers for SDB, guiding risk stratification and treatment decisions.
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Affiliation(s)
- Ying Zhang
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, 02115, USA
| | - Bing Yu
- Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY, USA
| | - Ali Azarbarzin
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women's Hospital & Harvard Medical School, Boston, MA, 02115, USA
| | - Han Chen
- Human Genetics Center, Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Neomi A Shah
- Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Alberto R Ramos
- Sleep Medicine Program, Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, 33136, USA
| | - Phyllis C Zee
- Division of Sleep Medicine, Department of Neurology, Northwestern University, Chicago, IL, 60611, USA
| | - Jianwen Cai
- Collaborative Studies Coordinating Center, Department of Biostatistics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Martha L Daviglus
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, 60612, USA
| | - Eric Boerwinkle
- Department of Epidemiology, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, 77030, USA
| | - Robert Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, New York, NY, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA
| | - Peter Y Liu
- The Institute for Translational Genomics and Population Sciences, The Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, 90502, USA
| | - Susan Redline
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women's Hospital & Harvard Medical School, Boston, MA, 02115, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham & Women's Hospital & Harvard Medical School, Boston, MA, 02115, USA.
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, 02115, USA.
- CardioVascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, 02115, USA.
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14
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Saidi O, Rochette E, Merlin E, Duché P. Pathways of sleep disturbances in juvenile idiopathic arthritis and recommendations for clinical management approaches: A critical review. Sleep Med Rev 2024; 73:101870. [PMID: 37897844 DOI: 10.1016/j.smrv.2023.101870] [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: 06/06/2023] [Revised: 10/11/2023] [Accepted: 10/18/2023] [Indexed: 10/30/2023]
Abstract
Juvenile idiopathic arthritis (JIA) is the most common rheumatic disease affecting young people. It has a profound impact on their physical, mental and social lives, leading to long-term disability. With the growing awareness of the importance of sleep in all areas of functioning in young people, an emerging literature has drawn attention to the role of sleep in the pathogenesis of JIA. Sleep disturbances in children and adolescents with JIA arise from a wide range of symptoms and pathways, leading to a vicious cycle that exacerbates subclinical inflammation, symptoms and disease progression. Putative factors contributing to sleep disturbances include chronic inflammation, JIA-associated sleep disorders, JIA symptoms (e.g. pain), psychological comorbidities and potential circadian disruption, which may be exacerbated by the transition to adolescence. Here, we review these pathways and advocate key strategies and alternatives for sleep management in young people with JIA in clinical settings. We identify gaps in knowledge and suggest future directions to improve our understanding of JIA sleep disorders, including clinical trials investigating potential strategies to improve sleep health in this young population.
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Affiliation(s)
- Oussama Saidi
- Laboratory "Impact of Physical Activity on Health" (IAPS), Toulon University, F-83041, Toulon, France.
| | - Emmanuelle Rochette
- Laboratory "Impact of Physical Activity on Health" (IAPS), Toulon University, F-83041, Toulon, France; Department of Pediatrics, Clermont-Ferrand University Hospital, F-63000, Clermont-Ferrand, France; INSERM, CIC 1405, CRECHE Unit, Clermont Auvergne University, F-63000, Clermont-Ferrand, France
| | - Etienne Merlin
- Department of Pediatrics, Clermont-Ferrand University Hospital, F-63000, Clermont-Ferrand, France; INSERM, CIC 1405, CRECHE Unit, Clermont Auvergne University, F-63000, Clermont-Ferrand, France
| | - Pascale Duché
- Laboratory "Impact of Physical Activity on Health" (IAPS), Toulon University, F-83041, Toulon, France.
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15
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Gong Q, Guo C. Genetic study of the causal effect of lipid profiles on insomnia risk: a Mendelian randomization trial. BMC Med Genomics 2023; 16:325. [PMID: 38087303 PMCID: PMC10714578 DOI: 10.1186/s12920-023-01761-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2023] [Accepted: 12/04/2023] [Indexed: 12/18/2023] Open
Abstract
OBJECTIVES In response to the controversy surrounding observational studies of the association between lipid profiles and the risk of insomnia, the aim of this study was to analyze lipid profiles, including triglycerides (TG), apolipoprotein A-1 (ApoA-1), apolipoprotein B (ApoB) and lipoprotein A (LPA), in a European population to further assess the causal relationship between these lipid types and insomnia. MATERIALS AND METHODS This study explores the causal effect of lipid profiles on insomnia based on a genome-wide association study (GWAS)-derived public dataset using two-sample and multivariate Mendelian randomization (MVMR) analysis. The main MR analyses used inverse variance weighting (IVW) odds ratio (OR), and the sensitivity analyses included weighted median (WM) and MR‒Egger. RESULTS Both MR and MVMR showed that lowering ApoA-1 and LPA levels had causal effects on the risk of insomnia [MR: per 10 units, ApoA-1: OR: 0.7546, 95% CI: 0.6075-0.9372, P = 0.011; LPA: OR: 0.8392, 95% CI: 0.7202-0.9778, P = 0.025; MVMR: per 10 units, ApoA-1: OR: 0.7600, 95% CI: 0.6362-0.9079, P = 0.002; LPA, OR: 0.903, 95% CI: 0.8283-0.9845, P = 0.021]. There were no causal effects of TG or ApoB on insomnia (all P > 0.05). The MR‒Egger intercept test, funnel plot, and IVW methods all suggested an absence of strong directional pleiotropy, and leave-one-out permutation analysis did not detect any single single-nucleotide polymorphism that had a strong influence on the results. CONCLUSION Elevated levels of ApoA-1 and LPA were independently and causally associated with the risk of insomnia, suggesting that elevated ApoA-1 and LPA levels may contribute to a reduced risk of insomnia.
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Affiliation(s)
- Quancai Gong
- Department of Neurology, Affiliated Hospital of Jianghan University, Wuhan, 430015, Hubei, China
| | - Canshou Guo
- Department of Neurology, Affiliated Hospital of Jianghan University, Wuhan, 430015, Hubei, China.
- , No.168, Hong Kong Road, Jiangan District, Wuhan, Hubei Province, China.
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16
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Yang Y, Chen Z, Yan G, Kong L, Yang L, Sun H, Han Y, Zhang J, Wang X. Mass spectrum oriented metabolomics for evaluating the efficacy and discovering the metabolic mechanism of Naoling Pian for insomnia. J Pharm Biomed Anal 2023; 236:115756. [PMID: 37776625 DOI: 10.1016/j.jpba.2023.115756] [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: 07/20/2023] [Revised: 09/24/2023] [Accepted: 09/25/2023] [Indexed: 10/02/2023]
Abstract
Insomnia is an accompanying symptom of many diseases and is closely associated with neurodegenerative diseases. Naoling Pian (NLP) is a patented Chinese medicine mainly used to treat insomnia. To evaluate the sedative and hypnotic effects of NLP and its modulatory effects on biological metabolites and metabolic pathways, rats with p-chlorophenylalanine (PCPA)-induced insomnia were given different doses of NLP by oral gavage for seven days. Diazepam (DZP) served as a positive control. Behavior was measured using the open field test, and neurotransmitter levels in the brain tissue related to sleep were measured using ELISA. The metabolic profiles and biomarkers of PCPA-induced insomnia in rats before and after NLP administration were analyzed using UPLC-Q/TOF-MS combined with multivariate data analysis. The results showed that the levels of 5-hydroxytryptamine, gamma-aminobutyric acid, norepinephrine, and dopamine in the brain tissue were significantly recovered in the NLP treatment groups, demonstrating similar or even superior therapeutic effects compared to the DZP group. The behavior of the PCPA-model rats partially recovered to normal levels after seven days of treatment. Metabolomics identified 30 metabolites in the urine as potential biomarkers of insomnia, and NLP significantly altered 25 of these, involving 21 metabolic pathways. NLP has a remarkable effect on insomnia, the therapeutic effects of which may be largely due to the rectification of metabolic disturbances. This is the first study of the sedative and hypnotic effects of NLP from a metabolomic perspective.
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Affiliation(s)
- Yu Yang
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, China
| | - Zhe Chen
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, China
| | - Guangli Yan
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, China; State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau
| | - Ling Kong
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, China
| | - Le Yang
- State Key Laboratory of Dampness Syndrome, The Second Affiliated Hospital Guangzhou University of Chinese Medicine, Dade Road 111, Guangzhou, China
| | - Hui Sun
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, China.
| | - Ying Han
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, China
| | - Jie Zhang
- Wusuli River Pharmaceutical Co., Ltd., Heilongjiang, China
| | - Xijun Wang
- National Chinmedomics Research Center, National TCM Key Laboratory of Serum Pharmacochemistry, Metabolomics Laboratory, Department of Pharmaceutical Analysis, Heilongjiang University of Chinese Medicine, Heping Road 24, Harbin, China; State Key Laboratory of Quality Research in Chinese Medicine, Macau University of Science and Technology, Avenida Wai Long, Taipa, Macau; State Key Laboratory of Dampness Syndrome, The Second Affiliated Hospital Guangzhou University of Chinese Medicine, Dade Road 111, Guangzhou, China.
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17
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Chiang PL, Hao WR, Hong HJ, Chen CC, Chiu CC, Fang YA, Yang TL, Lai YH, Chen MY, Hsu MH, Chiou KR, Lin KJ, Yang TY, Hsiu H, Liu JC. The Effects of Different Types of Sleep Disorder on Colorectal Cancer: A Nationwide Population-Based Cohort Study. Cancers (Basel) 2023; 15:4728. [PMID: 37835421 PMCID: PMC10571828 DOI: 10.3390/cancers15194728] [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: 08/18/2023] [Revised: 09/19/2023] [Accepted: 09/20/2023] [Indexed: 10/15/2023] Open
Abstract
The impact of sleep disorders (SDs), particularly sleep apnea (SA), on the development of colorectal cancer (CRC) has been the subject of significant research. However, the potential contribution of other SDs to the incidence of CRC remains unexplored. The objective of this study was to examine the effects of SDs on the risk of developing CRC. This study assessed CRC risk among individuals diagnosed with SDs compared with age- and sex-matched unaffected individuals. A longitudinal, nationwide, population-based cohort study was conducted using data from the Taiwan National Health Insurance Research Database (NHIRD) encompassing 177,707 individuals diagnosed with SDs and 177,707 matched controls. Cox proportional hazard regression analysis was used to determine the relative increased risk of CRC in individuals with SDs and specific subgroups of SDs. The CRC incidences were 1.32-fold higher (95% CI 1.23-1.42) in the overall SD cohort, 1.17-fold higher (95% CI 0.82-1.68) in the SA cohort, 1.42-fold higher (95% CI 1.31-1.55) in the insomnia cohort, 1.27-fold higher (95% CI 1.17-1.38) in the sleep disturbance cohort, and 1.00-fold higher (95% CI 0.77-1.29) in the other SD cohort, after adjusting for age, sex, and comorbidities.
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Affiliation(s)
- Po-Lin Chiang
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan (T.-Y.Y.)
- Department of General Medicine, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | - Wen-Rui Hao
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan (T.-Y.Y.)
- Taipei Heart Institute, Taipei Medical University, Taipei 11031, Taiwan (K.-J.L.)
- Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
| | - Hong-Jye Hong
- School of Chinese Medicine, College of Chinese Medicine, China Medical University, Taichung City 404333, Taiwan
| | - Chun-Chao Chen
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan (T.-Y.Y.)
- Taipei Heart Institute, Taipei Medical University, Taipei 11031, Taiwan (K.-J.L.)
- Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
- Graduate Institute of Medical Sciences, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
| | - Chun-Chih Chiu
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan (T.-Y.Y.)
- Taipei Heart Institute, Taipei Medical University, Taipei 11031, Taiwan (K.-J.L.)
| | - Yu-Ann Fang
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan (T.-Y.Y.)
- Taipei Heart Institute, Taipei Medical University, Taipei 11031, Taiwan (K.-J.L.)
| | - Tsung-Lin Yang
- Taipei Heart Institute, Taipei Medical University, Taipei 11031, Taiwan (K.-J.L.)
- Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
- Division of Cardiology, Department of Internal Medicine and Cardiovascular Research Center, Taipei Medical University Hospital, Taipei 11031, Taiwan
| | - Yu-Hsin Lai
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan; (Y.-H.L.)
- TMU Research Center for Digestive Medicine, Taipei Medical University, Taipei 11031, Taiwan
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Shuang Ho Hospital, New Taipei City 23561, Taiwan
| | - Ming-Yao Chen
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan; (Y.-H.L.)
- TMU Research Center for Digestive Medicine, Taipei Medical University, Taipei 11031, Taiwan
- Division of Gastroenterology and Hepatology, Department of Internal Medicine, Shuang Ho Hospital, New Taipei City 23561, Taiwan
| | - Min-Huei Hsu
- Graduate Institute of Data Science, College of Management, Taipei Medical University, Taipei 11031, Taiwan
- Department of Neurosurgery, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan
| | - Kuan-Rau Chiou
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan (T.-Y.Y.)
- Taipei Heart Institute, Taipei Medical University, Taipei 11031, Taiwan (K.-J.L.)
- Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
| | - Kuan-Jie Lin
- Taipei Heart Institute, Taipei Medical University, Taipei 11031, Taiwan (K.-J.L.)
- Division of Cardiovascular Surgery, Department of Surgery, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan
| | - Tsung-Yeh Yang
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan (T.-Y.Y.)
- Taipei Heart Institute, Taipei Medical University, Taipei 11031, Taiwan (K.-J.L.)
| | - Hsin Hsiu
- Graduate Institute of Biomedical Engineering, National Taiwan University of Science and Technology, No. 43, Section 4, Keelung Road, Taipei 10607, Taiwan
| | - Ju-Chi Liu
- Division of Cardiology, Department of Internal Medicine, Shuang Ho Hospital, Taipei Medical University, New Taipei City 23561, Taiwan (T.-Y.Y.)
- Taipei Heart Institute, Taipei Medical University, Taipei 11031, Taiwan (K.-J.L.)
- Division of Cardiology, Department of Internal Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei 11031, Taiwan
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18
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Ren A, Wu T, Wang Y, Fan Q, Yang Z, Zhang S, Cao Y, Cui G. Integrating animal experiments, mass spectrometry and network-based approach to reveal the sleep-improving effects of Ziziphi Spinosae Semen and γ-aminobutyric acid mixture. Chin Med 2023; 18:99. [PMID: 37573423 PMCID: PMC10422734 DOI: 10.1186/s13020-023-00814-9] [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: 05/30/2023] [Accepted: 07/30/2023] [Indexed: 08/14/2023] Open
Abstract
BACKGROUND Ziziphi Spinosae Semen (ZSS) is a plant widely used as medicine and food in Asian countries due to its numerous health benefits. γ-aminobutyric acid (GABA), a non-proteinaceous amino acid, is one of the major inhibitory neurotransmitters with a relaxant function. In this study, a system pharmacology approach was employed to assess the effects of a mixture composed of ZSS and GABA (ZSSG) on sleep improvement. METHODS Mice were divided into five groups (n = 10) and received either no treatment, sodium pentobarbital, or sodium barbital with diazepam or ZSSG. The effects of ZSSG on sleep quality were evaluated in mice, and differential metabolites associated with sleep were identified among the control, ZSS, GABA, and ZSSG groups. Additionally, network-based ingredient-insomnia proximity analysis was applied to explore the major ingredients. RESULTS ZSSG significantly improved sleep quality by decreasing sleep latency and prolonging sleep duration in sodium pentobarbital-induced sleeping mouse model (P < 0.05). ZSSG significantly enhanced the brain content of GABA in mice. Furthermore, ZSSG also significantly decreased sleep latency-induced by sodium barbital in mice (P < 0.05). Metabolic analysis revealed significant differences in 10 metabolites between ZSSG group and the groups administering ZSS or GABA. Lastly, using the network-based ingredient screening model, we discovered potential four active ingredients and three pairwise ingredient combinations with synergistic effect on insomnia from ZSSG among 85 ingredients identified by UPLC-Q/TOF-MS. Also, we have constructed an online computation platform. CONCLUSION Our data demonstrated that ZSSG improved the sleeping quality of mice and helped to balance metabolic disorders-associated with sleep disorders. Moreover, based on the network-based prediction method, the four potential active ingredients in ZSSG could serve as quality markers-associated with insomnia. The network-based framework may open up a new avenue for the discovery of active ingredients of herbal medicine for treating complex chronic diseases or symptoms, such as insomnia.
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Affiliation(s)
- Airong Ren
- Department of Bioengineering, Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, Guangdong, China
| | - Tingbiao Wu
- Department of Bioengineering, Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, Guangdong, China
| | - Yarong Wang
- Department of Bioengineering, Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, Guangdong, China
| | - Qing Fan
- Basic Medical Science Department, Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, Guangdong, China
| | - Zhenhao Yang
- Department of Bioengineering, Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, Guangdong, China
| | - Shixun Zhang
- Department of Bioengineering, Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, Guangdong, China
| | - Yongjun Cao
- Department of Bioengineering, Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, Guangdong, China
| | - Guozhen Cui
- Department of Bioengineering, Zhuhai Campus of Zunyi Medical University, Zhuhai, 519000, Guangdong, China.
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19
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Dakterzada F, Benítez ID, Targa A, Carnes A, Pujol M, Jové M, Mínguez O, Vaca R, Sánchez-de-la-Torre M, Barbé F, Pamplona R, Piñol-Ripoll G. Cerebrospinal fluid lipidomic fingerprint of obstructive sleep apnoea in Alzheimer's disease. Alzheimers Res Ther 2023; 15:134. [PMID: 37550750 PMCID: PMC10408111 DOI: 10.1186/s13195-023-01278-7] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Accepted: 07/21/2023] [Indexed: 08/09/2023]
Abstract
BACKGROUND Obstructive sleep apnoea (OSA) has a high prevalence in patients with Alzheimer's disease (AD). Both conditions have been shown to be associated with lipid dysregulation. However, the relationship between OSA severity and alterations in lipid metabolism in the brains of patients with AD has yet to be fully elucidated. In this context, we examined the cerebrospinal fluid (CSF) lipidome of patients with suspected OSA to identify potential diagnostic biomarkers and to provide insights into the pathophysiological mechanisms underlying the effect of OSA on AD. METHODS The study included 91 consecutive AD patients who underwent overnight polysomnography (PSG) to diagnose severe OSA (apnoea-hypopnea index ≥ 30/h). The next morning, CSF samples were collected and analysed by liquid chromatography coupled to mass spectrometry in an LC-ESI-QTOF-MS/MS platform. RESULTS The CSF levels of 11 lipid species were significantly different between AD patients with (N = 38) and without (N = 58) severe OSA. Five lipids (including oxidized triglyceride OxTG(57:2) and four unknown lipids) were significantly correlated with specific PSG measures of OSA severity related to sleep fragmentation and hypoxemia. Our analyses revealed a 4-lipid signature (including oxidized ceramide OxCer(40:6) and three unknown lipids) that provided an accuracy of 0.80 (95% CI: 0.71-0.89) in the detection of severe OSA. These lipids increased the discriminative power of the STOP-Bang questionnaire in terms of the area under the curve (AUC) from 0.61 (0.50-0.74) to 0.85 (0.71-0.93). CONCLUSIONS Our results reveal a CSF lipidomic fingerprint that allows the identification of AD patients with severe OSA. Our findings suggest that an increase in central nervous system lipoxidation may be the principal mechanism underlying the association between OSA and AD.
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Affiliation(s)
- Farida Dakterzada
- Unitat Trastorns Cognitius, Cognition and Behaviour Study Group, Santa Maria University Hospital, IRBLleida, Rovira Roure No. 44, Lleida, 25198, Spain
| | - Iván D Benítez
- Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
- Center for Biomedical Research in Respiratory Diseases Network (CIBERES), Madrid, Spain
| | - Adriano Targa
- Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
- Center for Biomedical Research in Respiratory Diseases Network (CIBERES), Madrid, Spain
| | - Anna Carnes
- Unitat Trastorns Cognitius, Cognition and Behaviour Study Group, Santa Maria University Hospital, IRBLleida, Rovira Roure No. 44, Lleida, 25198, Spain
| | - Montse Pujol
- Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
| | - Mariona Jové
- Department of Experimental Medicine, University of Lleida-Biomedical Research Institute of Lleida (UdL-IRBLleida), Lleida, Spain
| | - Olga Mínguez
- Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
| | - Rafi Vaca
- Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
| | - Manuel Sánchez-de-la-Torre
- Department of Nursing and Physiotherapy, Group of Precision Medicine in Chronic Diseases, University Hospital Arnau de Vilanova and Santa María, IRBLleida, Faculty of Nursing and Physiotherapy, University of Lleida, Lleida, Spain
| | - Ferran Barbé
- Group of Translational Research in Respiratory Medicine, Hospital Universitari Arnau de Vilanova and Santa Maria, IRBLleida, Lleida, Spain
- Center for Biomedical Research in Respiratory Diseases Network (CIBERES), Madrid, Spain
| | - Reinald Pamplona
- Department of Experimental Medicine, University of Lleida-Biomedical Research Institute of Lleida (UdL-IRBLleida), Lleida, Spain
| | - Gerard Piñol-Ripoll
- Unitat Trastorns Cognitius, Cognition and Behaviour Study Group, Santa Maria University Hospital, IRBLleida, Rovira Roure No. 44, Lleida, 25198, Spain.
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20
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Mohit, Tomar MS, Sharma D, Nandan S, Pateriya A, Shrivastava A, Chand P. Emerging role of metabolomics for biomarker discovery in obstructive sleep apnea. Sleep Breath 2023; 27:1247-1254. [PMID: 36322226 DOI: 10.1007/s11325-022-02730-y] [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: 03/24/2022] [Revised: 09/29/2022] [Accepted: 10/13/2022] [Indexed: 03/12/2023]
Abstract
Obstructive sleep apnea (OSA) is characterized by the complete or partial blockage of the upper airway passage during sleep which causes repetitive breaks in sleep and may result in excessive daytime sleepiness. OSA has been linked to various metabolic disorders and chronic health conditions, such as obesity, diabetes, hypertension, and depression. Profiling of alterations in metabolites and their regulation in OSA has been hypothesized to be an effective approach for early diagnosis and prognosis of OSA. Several studies have characterized metabolic fingerprints associated with sleep disorders. There is a lack of understanding of metabolite contents and their alterations in OSA that may help to identify specific biomarkers. The information provided in this review will help update new methodologies and interventions of high throughput advanced molecular/metabolomics tools which may clarify the metabolic aspects and mechanisms for improved management and treatment of OSA.
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Affiliation(s)
- Mohit
- Department of Prosthodontics, King George's Medical University Lucknow, Uttar Pradesh, Lucknow, 226003, India
- Center for Advance Research, King George's Medical University Lucknow, Uttar Pradesh, Lucknow, 226003, India
| | - Manendra Singh Tomar
- Center for Advance Research, King George's Medical University Lucknow, Uttar Pradesh, Lucknow, 226003, India
| | - Deepak Sharma
- Council of Scientific & Industrial Research, Phytochemistry Division, National Botanical Research Institute, Uttar Pradesh, Lucknow, 226001, India
| | - Shiv Nandan
- Department of Biotechnology, Era's Lucknow Medical College & Hospital, Uttar Pradesh, Lucknow, 226003, India
| | - Ankit Pateriya
- Center for Advance Research, King George's Medical University Lucknow, Uttar Pradesh, Lucknow, 226003, India
| | - Ashutosh Shrivastava
- Center for Advance Research, King George's Medical University Lucknow, Uttar Pradesh, Lucknow, 226003, India.
| | - Pooran Chand
- Department of Prosthodontics, King George's Medical University Lucknow, Uttar Pradesh, Lucknow, 226003, India.
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21
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Matricciani L, Dumuid D, Paquet C, Lushington K, Olds T. Branched-chain amino acids and sleep: a population-derived study of Australian children aged 11-12 years and their parents. J Sleep Res 2023; 32:e13855. [PMID: 36815545 PMCID: PMC10909564 DOI: 10.1111/jsr.13855] [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: 06/27/2022] [Revised: 12/07/2022] [Accepted: 01/25/2023] [Indexed: 02/24/2023]
Abstract
Micronutrients, particularly amino acids, are thought to play an important role in sleep regulation and maintenance. While tryptophan is a known predictor of sleep, less is known about branched-chain amino acids (BCAAs), which compete with tryptophan for transport across the blood-brain barrier. The aim of this study was to determine the association between BCAAs and actigraphy-derived sleep duration, timing and efficiency, and self-reported trouble sleeping. This study examined data on children and adults collected as part of the Child Health CheckPoint study. Linear mixed models, adjusted for geographic clustering, were used to determine the association between BCAAs and sleep characteristics. Complete-case analysis was conducted for 741 children aged 11-12 years old (51% females) and 941parents (87% mothers). While BCAAs were significantly associated with children's sleep duration, timing and self-reported trouble sleeping, no associations were observed in adults, in fully adjusted models. In children, higher levels of BCAAs are associated with shorter sleep duration, delayed sleep timing, and more frequent reports of trouble sleeping.
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Affiliation(s)
- Lisa Matricciani
- Clinical & Health SciencesUniversity of South AustraliaAdelaideAustralia
- Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideAustralia
| | - Dorothea Dumuid
- Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideAustralia
- Allied Health and Human Performance (AHHP)University of South AustraliaAdelaideAustralia
- Murdoch Children's Research InstituteParkvilleVictoriaAustralia
| | - Catherine Paquet
- Allied Health and Human Performance (AHHP)University of South AustraliaAdelaideAustralia
- Faculté des Sciences AdministrativesUniversité LavalQuebec CityQuebecCanada
- Centre Nutrition, santé et société (NUTRISS), INAFUniversité LavalQuebec CityQuebecCanada
- Centre de Recherche, Centre Hospitalier Universitaire de Québec – Université LavalQuebec CityQuebecCanada
| | - Kurt Lushington
- Centre for Behaviour‐Brain‐Body: Justice and Society UnitUniversity of South AustraliaAdelaideSouth AustraliaAustralia
| | - Tim Olds
- Alliance for Research in Exercise, Nutrition and Activity (ARENA)University of South AustraliaAdelaideAustralia
- Allied Health and Human Performance (AHHP)University of South AustraliaAdelaideAustralia
- Murdoch Children's Research InstituteParkvilleVictoriaAustralia
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22
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Sofer T, Zhang Y, Yu B, Qi Q, Azarbarzin A, Chen H, Shah N, Ramos A, Zee P, Cai J, Daviglus M, Boerwinkle E, Kaplan R, Liu P, Redline S. Metabolomic Profiles of Sleep-Disordered Breathing are Associated with Hypertension and Diabetes Mellitus Development: the HCHS/SOL. RESEARCH SQUARE 2023:rs.3.rs-3171622. [PMID: 37503089 PMCID: PMC10371150 DOI: 10.21203/rs.3.rs-3171622/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/29/2023]
Abstract
Sleep-disordered breathing (SDB) is a prevalent disorder characterized by recurrent episodic upper airway obstruction. In a dataset from the Hispanic Community Health Study/Study of Latinos (HCHS/SOL), we applied principal component analysis (PCA) on seven measures characterizing SDB-associated respiratory events. We estimated the association of the top two SDB PCs with serum levels of 617 metabolites, in both single-metabolite analysis, and a joint, penalized regression analysis using the least absolute shrinkage and selection operator (LASSO). Discovery analysis included n = 3,299 HCHS/SOL individuals; associations were validated in a separate dataset of n = 1,522 HCHS/SOL individuals. Seven metabolite associations with SDB PCs were discovered and replicated. Metabolite risk scores (MRSs) developed based on LASSO association results and representing metabolite signatures associated with the two SDB PCs were associated with 6-year incident hypertension and incident diabetes. MRSs have the potential to serve as biomarkers for SDB, guiding risk stratification and treatment decisions.
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Affiliation(s)
| | | | | | - Qibin Qi
- Albert Einstein College of Medicine
| | | | - Han Chen
- The University of Texas Health Science Center at Houston
| | | | | | - Phyllis Zee
- Northwestern University Feinberg School of Medicine
| | | | | | | | | | - Peter Liu
- Lundquist Institute at Harbor-UCLA Medical Center
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23
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Oishi K, Yajima Y, Yoshida Y, Hagihara H, Miyakawa T, Higo-Yamamoto S, Toyoda A. Metabolic profiles of saliva in male mouse models of chronic sleep disorders induced by psychophysiological stress. Sci Rep 2023; 13:11156. [PMID: 37429932 PMCID: PMC10333369 DOI: 10.1038/s41598-023-38289-1] [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: 11/07/2022] [Accepted: 07/06/2023] [Indexed: 07/12/2023] Open
Abstract
Disordered sleep is a global social problem and an established significant risk factor for psychological and metabolic diseases. We profiled non-targeted metabolites in saliva from mouse models of chronic sleep disorder (CSD). We identified 288 and 55 metabolites using CE-FTMS and LC-TOFMS, respectively, among which concentrations of 58 (CE-FTMS) and three (LC-TOFMS) were significantly changed by CSD. Pathway analysis revealed that CSD significantly suppressed glycine, serine and threonine metabolism. Arginine and proline metabolic pathways were among those that were both upregulated and downregulated. Pathways of alanine, aspartate and glutamate metabolism, genetic information processing, and the TCA cycle tended to be downregulated, whereas histidine metabolism tended to be upregulated in mice with CSD. Pyruvate, lactate, malate, succinate and the glycemic amino acids alanine, glycine, methionine, proline, and threonine were significantly decreased, whereas 3-hydroxybutyric and 2-hydroxybutyric acids associated with ketosis were significantly increased, suggesting abnormal glucose metabolism in mice with CSD. Increases in the metabolites histamine and kynurenic acid that are associated with the central nervous system- and decreased glycine, might be associated with sleep dysregulation and impaired cognitive dysfunction in mice with CSD. Our findings suggested that profiling salivary metabolites could be a useful strategy for diagnosing CSD.
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Affiliation(s)
- Katsutaka Oishi
- Healthy Food Science Research Group, Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Central 6, 1-1-1 Higashi, Tsukuba, Ibaraki, 305-8566, Japan.
- Department of Applied Biological Science, Graduate School of Science and Technology, Tokyo University of Science, Noda, Chiba, Japan.
- Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.
- School of Integrative and Global Majors (SIGMA), University of Tsukuba, Tsukuba, Ibaraki, Japan.
| | - Yuhei Yajima
- College of Agriculture, Ibaraki University, Ami, Ibaraki, Japan
- Ibaraki Prefecture Livestock Research Center, Ishioka, Ibaraki, Japan
- United Graduate School of Agricultural Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
| | - Yuta Yoshida
- College of Agriculture, Ibaraki University, Ami, Ibaraki, Japan
| | - Hideo Hagihara
- Division of Systems Medical Science, Center for Medical Science, Fujita Health University, Toyoake, Aichi, Japan
| | - Tsuyoshi Miyakawa
- Division of Systems Medical Science, Center for Medical Science, Fujita Health University, Toyoake, Aichi, Japan
| | - Sayaka Higo-Yamamoto
- Healthy Food Science Research Group, Cellular and Molecular Biotechnology Research Institute, National Institute of Advanced Industrial Science and Technology (AIST), Central 6, 1-1-1 Higashi, Tsukuba, Ibaraki, 305-8566, Japan
| | - Atsushi Toyoda
- College of Agriculture, Ibaraki University, Ami, Ibaraki, Japan
- United Graduate School of Agricultural Science, Tokyo University of Agriculture and Technology, Fuchu, Tokyo, Japan
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24
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Salles C, Freitas MC, Souza A, Ribeiro P, Dias C, Rosa M, Meira e Cruz M. Metabolomic approach for obstructive sleep apnea in adults: a systematic review. Sleep Biol Rhythms 2023; 21:265-277. [PMID: 38469078 PMCID: PMC10899929 DOI: 10.1007/s41105-023-00445-5] [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: 07/05/2022] [Accepted: 01/08/2023] [Indexed: 02/11/2023]
Abstract
Obstructive Sleep Apnea (OSA) corresponds to episodes of complete or partial upper airway obstruction during sleep. The gold standard for diagnosing OSA is polysomnography; however, metabolomics is an innovative and highly sensitive method that seeks to identify and quantify small molecules in biological systems. Identify the metabolites most frequently associated with obstructive sleep apnea in adults. The search for articles was conducted between October 2020 and August 2021, in electronic databases, such as MEDLINE/PubMed, Scielo, Embase, and Cochrane, through the combination of descriptors: obstructive sleep apnea, metabolomic, adult. This systematic review included all cross-sectional studies published, including human patients aged 18 years or older, of both genders who underwent type I or II polysomnography and metabolomics study. The search strategy selected 3697 surveys, and 4 of them were selected to be a part of this systematic review. Based on the analyzed surveys, it was found that all of them were able to diagnose OSA, reaching a sensitivity of 75-97%, and specificity that ranged from 72 to 100%; besides differentiating patients with OSA (severe, moderate, and mild) from simple snorers with a mean sensitivity of 77.2% and specificity of 66.25%. These findings suggest that, in addition to being used as a screening and diagnostic strategy for OSA, metabolomics has the potential to be used for severity stratification and to monitor the disease's progression.
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Affiliation(s)
- Cristina Salles
- International Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil
| | - Maria Clara Freitas
- International Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil
| | - Amancio Souza
- International Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil
- Public Health Sciences, University of California, San Diego, USA
| | - Paulo Ribeiro
- International Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil
- Chemistry Institute, Federal University of Bahia, Salvador, Brazil
| | - Cristiane Dias
- International Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil
| | - Michele Rosa
- International Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil
- Cardiovascular Centre of University of Lisboa, CCUL, Falculty of Medicine, University of Lisboa, Lisboa, Portugal
| | - Miguel Meira e Cruz
- International Center on Clinical Sleep Medicine and Research, Bahiana School of Medicine and Public Health, Salvador, Brazil
- Centro Europeu do Sono, European Center of Sleep, Lisboa, Portugal
- Faculty São Leopoldo Mandic, Faculty São Leopoldo Mandic, Campinas, Brazil
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25
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Kong J, Zhou L, Li X, Ren Q. Sleep disorders affect cognitive function in adults: an overview of systematic reviews and meta-analyses. Sleep Biol Rhythms 2023; 21:133-142. [PMID: 38469285 PMCID: PMC10900040 DOI: 10.1007/s41105-022-00439-9] [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: 07/03/2022] [Accepted: 12/12/2022] [Indexed: 01/13/2023]
Abstract
Sleep disorders frequently result in poor memory, attention deficits, as well as a worse prognosis for neurodegenerative changes, such as Alzheimer's disease. The purpose of this study is to investigate the impact of sleep disorders on cognition. We screened four databases for all meta-analyses and systematic reviews from the establishment through March 2022. We have carried out quality evaluation and review the eligible systematic reviews. Evidence grading and quality assessment were performed on 22 eligible articles. Sleep deprivation primarily affects simple attention, complex attention, and working memory in cognition and alertness. The moderate-to-high-quality evidence proves optimal sleep time as 7-8 h. Sleep time outside this range increases the risk of impaired executive function, non-verbal memory, and working memory. Sleep-related breathing disorders is more likely to cause mild cognitive impairment and affects several cognitive domains. In older adults, insomnia primarily affects working memory, episodic memory, inhibitory control, cognitive flexibility, problem-solving, operational ability, perceptual function, alertness, and complex attention, and maintaining sensitivity. Sleep disturbances significantly impair cognitive function, and early detection and intervention may be critical steps in reducing poor prognosis. A simple neuropsychological memory test could be used to screen people with sleep disorders for cognitive impairment. Supplementary Information The online version contains supplementary material available at 10.1007/s41105-022-00439-9.
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Affiliation(s)
- Jingting Kong
- School of Medicine, Southeast University, No. 87 Dingjiaqiao, Gulou District, Nanjing, 210009 Jiangsu China
| | - Lv Zhou
- School of Medicine, Southeast University, No. 87 Dingjiaqiao, Gulou District, Nanjing, 210009 Jiangsu China
| | - Xiaoli Li
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, No. 87 Dingjiaqiao, Gulou District, Nanjing, 210009 China
| | - Qingguo Ren
- School of Medicine, Southeast University, No. 87 Dingjiaqiao, Gulou District, Nanjing, 210009 Jiangsu China
- Department of Neurology, Affiliated ZhongDa Hospital of Southeast University, No. 87 Dingjiaqiao, Gulou District, Nanjing, 210009 China
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26
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Wang J, Zhao H, Shi K, Wang M. Treatment of insomnia based on the mechanism of pathophysiology by acupuncture combined with herbal medicine: A review. Medicine (Baltimore) 2023; 102:e33213. [PMID: 36930068 PMCID: PMC10019201 DOI: 10.1097/md.0000000000033213] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 02/15/2023] [Indexed: 03/18/2023] Open
Abstract
Insomnia is a sleep disorder which severely affects patients mood, quality of life and social functioning, serves as a trigger or risk factor to a variety of diseases such as depression, cardiovascular and cerebrovascular diseases, obesity and diabetes, and even increases the risk of suicide, and has become an increasingly widespread concern worldwide. Considerable research on insomnia has been conducted in modern medicine in recent years and encouraging results have been achieved in the fields of genetics and neurobiology. Unfortunately, however, the pathogenesis of insomnia remains elusive to modern medicine, and pharmacological treatment of insomnia has been regarded as conventional. However, in the course of treatment, pharmacological treatment itself is increasingly being questioned due to potential dependence and drug resistance and is now being replaced by cognitive behavior therapy as the first-line treatment. As an important component of complementary and alternative medicine, traditional Chinese medicine, especially non-pharmacological treatment methods such as acupuncture, is gaining increasing attention worldwide. In this article, we discuss the combination of traditional Chinese medicine, acupuncture, and medicine to treat insomnia based on neurobiology in the context of modern medicine.
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Affiliation(s)
- Jie Wang
- Department of Pain, Datong Hospital of Traditional Chinese Medicine, Shanxi Province, Datong, China
| | - Haishen Zhao
- Department of Rehabilitation, Luchaogang Community Health Service Center, Pudong New District, Shanghai, China
| | - Kejun Shi
- Department of Rehabilitation, Luchaogang Community Health Service Center, Pudong New District, Shanghai, China
| | - Manya Wang
- Department of Rehabilitation, Luchaogang Community Health Service Center, Pudong New District, Shanghai, China
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27
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Wu D, Wang X, Lin S, Xu G, Tian J, Ma X. Predicting insomnia severity using structure-function coupling in female chronic insomnia patients. Behav Brain Res 2023; 441:114283. [PMID: 36621579 DOI: 10.1016/j.bbr.2023.114283] [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: 11/11/2022] [Revised: 12/13/2022] [Accepted: 01/02/2023] [Indexed: 01/07/2023]
Abstract
Functional connectivity between brain regions is constrained by the underlying structural pathways. However, how this structure-function coupling is disrupted in female patients with insomnia disorder is unclear. This study examines if the whole-brain pattern of structure-function coupling could be used to predict unseen female patients' insomnia severity index. Resting-state functional MRI and diffusion-weighted imaging were performed in 82 female participants with chronic insomnia. Structure-function coupling was computed using the Spearman rank correlations between structural and functional connectivity profiles. Using relevance vector regression approach and 10-fold cross-validation, we predicted the individuals' insomnia severity index using the pattern of whole-brain structure-function coupling. Finally, we extracted the contribution of each regional coupling to the prediction model. The pattern of structure-function coupling could be used to significantly predict unseen individuals' insomnia severity index scores (r = 0.29, permutation P < 0.001; mean absolute error (MAE) = 4.59, permutation P < 0.001). Moreover, the brain regions with high functional hierarchy, including regions in the default mode network, mainly displayed negative contribution weights, while the regions with lower functional hierarchy, including occipital regions and the precentral gyrus, mainly displayed positive contribution weights. This is the first study to demonstrate an association between structure-function coupling and the insomnia severity index in females with insomnia disorder. Importantly, our data suggest that insomnia severity is associated with a reduction in structure-function coupling in higher-order brain regions and an increase in structure-function coupling in lower-order brain regions.
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Affiliation(s)
- Dongyan Wu
- Department of Neurology, China-Japan Friendship Hospital, Beijing, PR China
| | - Xinzhi Wang
- Department of Radiology, Guangdong Second Provincial General Hospital, Guangzhou, PR China
| | - Shiqi Lin
- Department of Radiology, Guangdong Second Provincial General Hospital, Guangzhou, PR China
| | - Guang Xu
- Department of Neurology, Guangdong Second Provincial General Hospital, Guangzhou, PR China
| | - Junzhang Tian
- Department of Radiology, Guangdong Second Provincial General Hospital, Guangzhou, PR China
| | - Xiaofen Ma
- Department of Radiology, Guangdong Second Provincial General Hospital, Guangzhou, PR China.
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Mariano V, Kanellopoulos AK, Aiello G, Lo AC, Legius E, Achsel T, Bagni C. SREBP modulates the NADP +/NADPH cycle to control night sleep in Drosophila. Nat Commun 2023; 14:763. [PMID: 36808152 PMCID: PMC9941135 DOI: 10.1038/s41467-022-35577-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2021] [Accepted: 12/12/2022] [Indexed: 02/22/2023] Open
Abstract
Sleep behavior is conserved throughout evolution, and sleep disturbances are a frequent comorbidity of neuropsychiatric disorders. However, the molecular basis underlying sleep dysfunctions in neurological diseases remains elusive. Using a model for neurodevelopmental disorders (NDDs), the Drosophila Cytoplasmic FMR1 interacting protein haploinsufficiency (Cyfip85.1/+), we identify a mechanism modulating sleep homeostasis. We show that increased activity of the sterol regulatory element-binding protein (SREBP) in Cyfip85.1/+ flies induces an increase in the transcription of wakefulness-associated genes, such as the malic enzyme (Men), causing a disturbance in the daily NADP+/NADPH ratio oscillations and reducing sleep pressure at the night-time onset. Reduction in SREBP or Men activity in Cyfip85.1/+ flies enhances the NADP+/NADPH ratio and rescues the sleep deficits, indicating that SREBP and Men are causative for the sleep deficits in Cyfip heterozygous flies. This work suggests modulation of the SREBP metabolic axis as a new avenue worth exploring for its therapeutic potential in sleep disorders.
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Affiliation(s)
- Vittoria Mariano
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, 1005, Switzerland.,Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium
| | | | - Giuseppe Aiello
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, 1005, Switzerland
| | - Adrian C Lo
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, 1005, Switzerland
| | - Eric Legius
- Department of Human Genetics, KU Leuven, Leuven, 3000, Belgium
| | - Tilmann Achsel
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, 1005, Switzerland
| | - Claudia Bagni
- Department of Fundamental Neurosciences, University of Lausanne, Lausanne, 1005, Switzerland. .,Department of Biomedicine and Prevention, University of Rome "Tor Vergata", Rome, 00133, Italy.
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Ye X, Yang Y, Xu G, Wang X, Lin S, Ma X. Enhanced intrathalamic morphological connectivity in patients with chronic insomnia. Brain Imaging Behav 2023; 17:114-124. [PMID: 36418677 DOI: 10.1007/s11682-022-00747-1] [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] [Accepted: 11/08/2022] [Indexed: 11/25/2022]
Abstract
This study aimed to systematically investigate abnormal morphological connectivity in subregions of the thalamus and examine the clinical relevance of this connectivity in patients with chronic insomnia. One hundred and two patients with chronic insomnia (aged 45.50 [34.75 ~ 58.00] years; 24 men, 78 women) and one hundred and one healthy controls (aged 45.00 [34.00 ~ 55.00] years; 32 men, 69 women) were recruited. Intrathalamic and thalamocortical morphological connectivity in the thalamic subregions defined in the Human Brainnetome Atlas were computed and compared between the two groups. Spearman's correlation was used to estimate the association between thalamic morphological connectivity alterations and clinical variables. Compared with the control group, the insomnia group exhibited higher intrathalamic mean morphological connectivity than the control group, though no alterations in thalamocortical morphological connectivity were observed. However, no correlation was found between altered intrathalamic morphological connectivity and behavioral scales. In addition, alterations in morphological connectivity among thalamic subregions were found mainly in the left medial premotor thalamus, left medial prefrontal thalamus, and left sensory thalamus; however, these results were no longer significant after correction. Our findings suggest increased intrathalamic morphological connectivity in patients with chronic insomnia, thus enriching the understanding of morphological connectivity at the individual level and providing new perspectives for clinical interventions and diagnostic imaging.
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Affiliation(s)
- Xi Ye
- Jinan University, No. 601, Huangpu Avenue West, Guangzhou, Guangdong, 510632, People's Republic of China.,Department of Radiology, Guangdong Second Provincial General Hospital, No. 466 Road Xingang, Guangzhou, 510317, People's Republic of China
| | - Yuping Yang
- Institute for Brain Research and Rehabilitation, South China Normal University, Guangzhou, 510150, People's Republic of China
| | - Guang Xu
- Department of Neurology, Guangdong Second Provincial General Hospital, No. 466 Road Xin gang, Guangzhou, 510317, People's Republic of China
| | - Xinzhi Wang
- Department of Radiology, Guangdong Second Provincial General Hospital, No. 466 Road Xingang, Guangzhou, 510317, People's Republic of China
| | - Shiqi Lin
- Department of Radiology, Guangdong Second Provincial General Hospital, No. 466 Road Xingang, Guangzhou, 510317, People's Republic of China
| | - Xiaofen Ma
- Department of Radiology, Guangdong Second Provincial General Hospital, No. 466 Road Xingang, Guangzhou, 510317, People's Republic of China.
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Fritz J, Huang T, Depner CM, Zeleznik OA, Cespedes Feliciano EM, Li W, Stone KL, Manson JE, Clish C, Sofer T, Schernhammer E, Rexrode K, Redline S, Wright KP, Vetter C. Sleep duration, plasma metabolites, and obesity and diabetes: a metabolome-wide association study in US women. Sleep 2023; 46:zsac226. [PMID: 36130143 PMCID: PMC9832513 DOI: 10.1093/sleep/zsac226] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 08/08/2022] [Indexed: 01/16/2023] Open
Abstract
Short and long sleep duration are associated with adverse metabolic outcomes, such as obesity and diabetes. We evaluated cross-sectional differences in metabolite levels between women with self-reported habitual short (<7 h), medium (7-8 h), and long (≥9 h) sleep duration to delineate potential underlying biological mechanisms. In total, 210 metabolites were measured via liquid chromatography-mass spectrometry in 9207 women from the Nurses' Health Study (NHS; N = 5027), the NHSII (N = 2368), and the Women's Health Initiative (WHI; N = 2287). Twenty metabolites were consistently (i.e. praw < .05 in ≥2 cohorts) and/or strongly (pFDR < .05 in at least one cohort) associated with short sleep duration after multi-variable adjustment. Specifically, levels of two lysophosphatidylethanolamines, four lysophosphatidylcholines, hydroxyproline and phenylacetylglutamine were higher compared to medium sleep duration, while levels of one diacylglycerol and eleven triacylglycerols (TAGs; all with ≥3 double bonds) were lower. Moreover, enrichment analysis assessing associations of metabolites with short sleep based on biological categories demonstrated significantly increased acylcarnitine levels for short sleep. A metabolite score for short sleep duration based on 12 LASSO-regression selected metabolites was not significantly associated with prevalent and incident obesity and diabetes. Associations of single metabolites with long sleep duration were less robust. However, enrichment analysis demonstrated significant enrichment scores for four lipid classes, all of which (most markedly TAGs) were of opposite sign than the scores for short sleep. Habitual short sleep exhibits a signature on the human plasma metabolome which is different from medium and long sleep. However, we could not detect a direct link of this signature with obesity and diabetes risk.
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Affiliation(s)
- Josef Fritz
- Circadian and Sleep Epidemiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
- Department of Medical Statistics, Informatics and Health Economics, Medical University of Innsbruck, Innsbruck, Austria
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Christopher M Depner
- Department of Health and Kinesiology, University of Utah, Salt Lake City, UT, USA
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Wenjun Li
- Department of Public Health, School of Health Sciences, University of Massachusetts Lowell, Lowell, MA, USA
| | - Katie L Stone
- California Pacific Medical Center Research Institute, San Francisco, CA, USA
| | - JoAnn E Manson
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
| | - Clary Clish
- Metabolomics Platform, Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, USA
| | - Tamar Sofer
- Division of Sleep and Circadian Disorders, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA, USA
| | - Eva Schernhammer
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Department of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria
| | - Kathryn Rexrode
- Division of Preventive Medicine, Department of Medicine, Brigham and Women’s Hospital and Harvard Medical School, Boston, MA, USA
- Division of Women’s Health, Department of Medicine, Brigham and Women’s Hospital, Boston, MA, USA
| | - Susan Redline
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA
- Department of Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Kenneth P Wright
- Sleep and Chronobiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
| | - Céline Vetter
- Circadian and Sleep Epidemiology Laboratory, Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO, USA
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Li K, Zhuo Y, He Y, Lei F, He P, Lang Q, He D, Zuo S, Chen S, Yang X, Wen X, Zhang Z, Liu C. T cell receptor repertoire as a novel indicator for identification and immune surveillance of patients with severe obstructive sleep apnea. PeerJ 2023; 11:e15009. [PMID: 37051415 PMCID: PMC10084822 DOI: 10.7717/peerj.15009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/15/2023] [Indexed: 04/14/2023] Open
Abstract
Background Obstructive sleep apnea (OSA) is the most prevalent sleep disturbance that affects approximately 936 million people worldwide and leads to extensively increased incidence of cardiovascular disease, metabolic syndrome, neurological disorders, and traffic accidents. Severe OSA patients suffer a significantly higher risk of complications and worse comorbidity outcomes. Notwithstanding, with inadequate access to contact diagnosis based on polysomnography (PSG), numerous patients with severe sleep apnea have not been diagnosed, especially during the pandemic. Moreover, how the T cell immunity is impaired in OSA remains largely unknown. Methods We primarily investigated the T cell receptor (TCR) repertoires of 50 patients with severe OSA, 23 patients with mild-to-moderate OSA, 23 patients without OSA, and 157 healthy individuals, from their peripheral blood. Firstly, we compared the clinical characteristics, blood cell counts, the ratio of neutrophil-to-lymphocyte (NLR), platelet-to-lymphocyte (PLR), and CD4+/CD8+T cell count between groups. Then, we compared the diversity, clonotypes, unique VJ alleles in patients with different disease severity. Furthermore, by identifying a series of disease-associated amino acid sequences, we employed a repeated hold-out machine learning strategy to explore the optimal algorithm for calculating the TCR repertoire characteristic Index (OSA-TCI). We further confirmed its relation with clinical features by linear regression analysis. Moreover, in followup of severe OSA patients who accepted adherent non-invasive ventilation, we assessed the changes of TCR repertoires, OSA-TCI, ESS, NLR, PLR, and CD4+/CD8+T after therapy. Results We found an unexpected increase in diversity and clonotypes in the TCR repertoire of OSA patients. Furthermore, we successfully developed a novel indicator termed OSA-TCI to summarize the unique repertoire alteration, which provided 90% of sensitivity and 87% of specificity in distinguishing severe OSA. In rationalization, OSA-TCI was found correlated to AHI, BMI, hemoglobin, N1, N2 percentage of sleep, snoring, smoking and lowest oxygen saturation, but only independently related to AHI (R = 0.603) and smoking (R = 0.22). Finally, we observed OSA-TCI in the eight severe patients decreased significantly after home noninvasive ventilation for three months during follow-up, consistently in line with the TCR repertoire improvement. In contrast, NLR, PLR, and the ratio of CD4+/CD8+T cell count were found useless to diagnose and therapeutic surveillance of severe OSA. Conclusions Our study is the first to unveil the TCR repertoire alteration in OSA, indicates possible insidious autoimmune mechanisms underlying OSA, and suggests that TCR repertoires serve as a convenient peripheral blood biomarker for OSA assessment without long-time contact and facility/instrument occupation. It may shed light on future diagnostic, immunological, pathophysiological, and prognostic research on OSA.
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Affiliation(s)
- Kai Li
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
- Department of Respiratory and Critical Care Medicine, The Third People’s Hospital of Chengdu, Southwest Jiaotong University, Chengdu, China
- Department of Respiratory Medicine, The People’s Hospital of Pujiang County, Chengdu, China
| | - Yue Zhuo
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Yue He
- Department of Orthopedics, West China Hospital, Sichuan University, Chengdu, China
| | - Fei Lei
- Sleep Medicine Centre, West China Hospital, Sichuan University, Chengdu, China
| | - Pengming He
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Qin Lang
- Department of Pulmonary Diseases and Critical Care, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Dingxiu He
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
- Department of Emergency Medicine, The People’s Hospital of Deyang, Deyang, China
| | - Suni Zuo
- Department of Respiratory Medicine, The People’s Hospital of Pujiang County, Chengdu, China
| | - Shan Chen
- Department of Respiratory and Critical Care Medicine, The Third People’s Hospital of Chengdu, Southwest Jiaotong University, Chengdu, China
| | - Xin Yang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
| | - Xueping Wen
- Chengdu ExAb Biotechnology LTD, Chengdu, China
| | - Zhixin Zhang
- Department of Health Management & Institute of Health Management, Sichuan Provincial People’s Hospital, University of Electronic Science and Technology of China, Chengdu, China
- Chengdu ExAb Biotechnology LTD, Chengdu, China
| | - Chuntao Liu
- Department of Respiratory and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China
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Association between insomnia and absenteeism or presenteeism among Korean employees. Ann Occup Environ Med 2022; 34:e41. [PMID: 36704538 PMCID: PMC9836820 DOI: 10.35371/aoem.2022.34.e41] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2022] [Revised: 10/21/2022] [Accepted: 11/06/2022] [Indexed: 12/15/2022] Open
Abstract
Background In Korea, few studies clarify insomnia and its association and absenteeism or presenteeism. Therefore, this study aims to examine the association between insomnia and absenteeism/presenteeism using the sixth Korean Working Conditions Survey. Methods Insomnia was evaluated by the Minimal Insomnia Symptoms Scale (MISS). Absenteeism and presenteeism were assessed by asking if the employee had experienced absence or working despite being ill for the prior 12 months at the point of the survey. Multiple logistic analyses were conducted to explore insomnia and its association with absenteeism and presenteeism. Results The odds ratios of insomnia for absenteeism and presenteeism were 3.48 (95% confidence interval [CI]: 2.76-4.39) and 3.68 (95% CI: 3.18-4.26) in the fully adjusted model. As the MISS scores increased, absenteeism and presenteeism showed the increasing trend that odd ratios increased accordingly from the first to the fourth quartile. Conclusions This study observed that insomnia was related to both absenteeism and presenteeism among Korean employees.
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Mohit, Tomar MS, Araniti F, Pateriya A, Singh Kushwaha RA, Singh BP, Jurel SK, Singh RD, Shrivastava A, Chand P. Identification of metabolic fingerprints in severe obstructive sleep apnea using gas chromatography-Mass spectrometry. Front Mol Biosci 2022; 9:1026848. [PMID: 36504723 PMCID: PMC9732946 DOI: 10.3389/fmolb.2022.1026848] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2022] [Accepted: 11/02/2022] [Indexed: 11/22/2022] Open
Abstract
Objective: Obstructive sleep apnea (OSA) is considered a major sleep-related breathing problem with an increasing prevalence rate. Retrospective studies have revealed the risk of various comorbidities associated with increased severity of OSA. This study aims to identify novel metabolic biomarkers associated with severe OSA. Methods: In total, 50 cases of OSA patients (49.74 ± 11.87 years) and 30 controls (39.20 ± 3.29 years) were included in the study. According to the polysomnography reports and questionnaire-based assessment, only patients with an apnea-hypopnea index (AHI >30 events/hour) exceeding the threshold representing severe OSA patients were considered for metabolite analysis. Plasma metabolites were analyzed using gas chromatography-mass spectrometry (GC-MS). Results: A total of 92 metabolites were identified in the OSA group compared with the control group after metabolic profiling. Metabolites and their correlated metabolic pathways were significantly altered in OSA patients with respect to controls. The fold-change analysis revealed markers of chronic kidney disease, cardiovascular risk, and oxidative stress-like indoxyl sulfate, 5-hydroxytryptamine, and 5-aminolevulenic acid, respectively, which were significantly upregulated in OSA patients. Conclusion: Identifying these metabolic signatures paves the way to monitor comorbid disease progression due to OSA. Results of this study suggest that blood plasma-based biomarkers may have the potential for disease management.
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Affiliation(s)
- Mohit
- Department of Prosthodontics, Faculty of Dental Sciences, King George’s Medical University, Lucknow, India,Center for Advance Research, Faculty of Medicine, King George’s Medical University, Lucknow, India
| | - Manendra Singh Tomar
- Center for Advance Research, Faculty of Medicine, King George’s Medical University, Lucknow, India
| | - Fabrizio Araniti
- Dipartimento di Scienze Agrarie e Ambientali, Produzione, Territorio, Agroenergia (DiSAA), University of Milan, Milan, Italy
| | - Ankit Pateriya
- Center for Advance Research, Faculty of Medicine, King George’s Medical University, Lucknow, India
| | - Ram Awadh Singh Kushwaha
- Department of Respiratory Medicine, Faculty of Medicine, King George’s Medical University, Lucknow, India
| | | | - Sunit Kumar Jurel
- Department of Prosthodontics, Faculty of Dental Sciences, King George’s Medical University, Lucknow, India
| | - Raghuwar Dayal Singh
- Department of Prosthodontics, Faculty of Dental Sciences, King George’s Medical University, Lucknow, India
| | - Ashutosh Shrivastava
- Center for Advance Research, Faculty of Medicine, King George’s Medical University, Lucknow, India,*Correspondence: Ashutosh Shrivastava, ; Pooran Chand,
| | - Pooran Chand
- Department of Prosthodontics, Faculty of Dental Sciences, King George’s Medical University, Lucknow, India,*Correspondence: Ashutosh Shrivastava, ; Pooran Chand,
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Multiomics Analysis Reveals Aberrant Metabolism and Immunity Linked Gut Microbiota with Insomnia. Microbiol Spectr 2022; 10:e0099822. [PMID: 36190400 PMCID: PMC9602994 DOI: 10.1128/spectrum.00998-22] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022] Open
Abstract
Studies have confirmed that insomnia is related to gut microbiota. Previous research suggests that immunity and metabolism are also associated with insomnia. However, to our knowledge, the integration of these factors has not been investigated in insomnia. Here, we explored the correlations across gut microbiota, serum metabolism, and inflammatory factors in insomnia. Our results showed that the composition and structure of gut microbiota and metabolism in insomnia patients were different from healthy controls. Compared to healthy controls, the relative abundances of Lactobacillus, Streptococcus, and Lactobacillus crispatus were significantly increased in insomniacs. There were five metabolic pathways in insomniacs (glycerophospholipid metabolism; glutathione metabolism; nitrogen metabolism; alanine, aspartate, and glutamate metabolism; aminoacyl-tRNA biosynthesis) significantly different between the two groups. Moreover, we found that IL-1β levels were significantly higher in insomnia patients while TNF-α was significantly reduced. We further identified that the changes in the level of IL-1β and TNF-α were associated with some specific bacteria and metabolites, such as Prevotella amnii, Prevotella buccalis, Prevotella timonensis, and Prevotella colorans. Mediation analysis further determined that the immune factors and metabolites could mediate the relationship between gut microbes and insomnia. IMPORTANCE Our study indicated that systematic inflammation and metabolites might be a pathway linking the gut microbiome with insomnia. These findings provide new insights and a better understanding of gut microbiota's role in insomnia as well as potential novel microbiome-related etiologies for insomnia.
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Causality of genetically determined metabolites on anxiety disorders: a two-sample Mendelian randomization study. Lab Invest 2022; 20:475. [PMID: 36266699 PMCID: PMC9583573 DOI: 10.1186/s12967-022-03691-2] [Citation(s) in RCA: 35] [Impact Index Per Article: 17.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2022] [Accepted: 10/06/2022] [Indexed: 11/10/2022]
Abstract
BACKGROUND Although anxiety disorders are one of the most prevalent mental disorders, their underlying biological mechanisms have not yet been fully elucidated. In recent years, genetically determined metabolites (GDMs) have been used to reveal the biological mechanisms of mental disorders. However, this strategy has not been applied to anxiety disorders. Herein, we explored the causality of GDMs on anxiety disorders through Mendelian randomization study, with the overarching goal of unraveling the biological mechanisms. METHODS A two-sample Mendelian randomization (MR) analysis was implemented to assess the causality of GDMs on anxiety disorders. A genome-wide association study (GWAS) of 486 metabolites was used as the exposure, whereas four different GWAS datasets of anxiety disorders were the outcomes. Notably, all datasets were acquired from publicly available databases. A genetic instrumental variable (IV) was used to explore the causality between the metabolite and anxiety disorders for each metabolite. The MR Steiger filtering method was implemented to examine the causality between metabolites and anxiety disorders. The standard inverse variance weighted (IVW) method was first used for the causality analysis, followed by three additional MR methods (the MR-Egger, weighted median, and MR-PRESSO (pleiotropy residual sum and outlier) methods) for sensitivity analyses in MR analysis. MR-Egger intercept, and Cochran's Q statistical analysis were used to evaluate possible heterogeneity and pleiotropy. Bonferroni correction was used to determine the causative association features (P < 1.03 × 10-4). Furthermore, metabolic pathways analysis was performed using the web-based MetaboAnalyst 5.0 software. All statistical analysis were performed in R software. The STROBE-MR checklist for the reporting of MR studies was used in this study. RESULTS In MR analysis, 85 significant causative relationship GDMs were identified. Among them, 11 metabolites were overlapped in the four different datasets of anxiety disorders. Bonferroni correction showing1-linoleoylglycerophosphoethanolamine (ORfixed-effect IVW = 1.04; 95% CI 1.021-1.06; Pfixed-effect IVW = 4.3 × 10-5) was the most reliable causal metabolite. Our results were robust even without a single SNP because of a "leave-one-out" analysis. The MR-Egger intercept test indicated that genetic pleiotropy had no effect on the results (intercept = - 0.0013, SE = 0.0006, P = 0.06). No heterogeneity was detected by Cochran's Q test (MR-Egger. Q = 7.68, P = 0.742; IVW. Q = 12.12, P = 0.436). A directionality test conducted by MR Steiger confirmed our estimation of potential causal direction (P < 0.001). In addition, two significant pathways, the "primary bile acid biosynthesis" pathway (P = 0.008) and the "valine, leucine, and isoleucine biosynthesis" pathway (P = 0.03), were identified through metabolic pathway analysis. CONCLUSION This study provides new insights into the causal effects of GDMs on anxiety disorders by integrating genomics and metabolomics. The metabolites that drive anxiety disorders may be suited to serve as biomarkers and also will help to unravel the biological mechanisms of anxiety disorders.
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Bargues-Navarro G, Ibáñez-del Valle V, El Mlili N, Cauli O. Salivary Biomarkers Associated with Psychological Alterations in Patients with Diabetes: A Systematic Review. MEDICINA (KAUNAS, LITHUANIA) 2022; 58:medicina58081091. [PMID: 36013558 PMCID: PMC9416232 DOI: 10.3390/medicina58081091] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 07/26/2022] [Accepted: 08/09/2022] [Indexed: 11/16/2022]
Abstract
The care of individuals with diabetes needs a holistic perspective, taking into account both the physical disease and the mental health problems that may be associated. Different studies show a higher prevalence of depression or anxiety issues in diabetes patients than in the general population, which is why diabetes can be considered one of the chronic diseases in which psychological care is crucial to maintain quality of life. The objective of this review is to examine the published articles that relate the bidirectional associations between objective and subjective measures of anxiety, depressive symptomatology, stress, sleep quality, and salivary biomarkers in patients with diabetes. For this, a search was carried out in the electronic databases PubMed, Cochrane, and SCOPUS using the keywords "diabetes", "saliva", "sleep", "anxiety", "depression", and "stress" for works published up until May 2022 and limited to the English and Spanish languages. The sample comprised 14 articles, 5 of which analysed the associations between depressive symptomatology and salivary biomarkers in people with diabetes. Among the salivary biomarkers most frequently used to evaluate psychological alterations in persons with diabetes are cortisol and melatonin. Thus, significant changes in the levels of these biomarkers were observed in most studies. Four out of five studies reported a statistically significant relationship between increased salivary cortisol in the evening/midnight or the cortisol awakening response and depressive symptoms. In contrast, lower cortisol levels upon waking in the morning were observed when there was no depression or anxiety. Regarding the association between salivary cortisol values and sleep quality in patients with diabetes, lower morning cortisol values related to prolonged nighttime sleep were common in the analysed studies. Low melatonin concentrations showed a negative correlation with sleep quality. As it is an easy-to-apply and non-invasive method, the measurement of salivary biomarkers can be very useful for predicting psychological alterations in patients with diabetes. Further scientific studies are required to determine the sensitivity of these biological substances acting as biomarkers for detecting sleep disorders and psychological alterations.
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Affiliation(s)
- Guillermo Bargues-Navarro
- Department of Nursing, Faculty of Nursing and Podiatry, University of Valencia, Avda Menéndez Pidal 19, 46010 Valencia, Spain
| | - Vanessa Ibáñez-del Valle
- Department of Nursing, Faculty of Nursing and Podiatry, University of Valencia, Avda Menéndez Pidal 19, 46010 Valencia, Spain
- Frailty and Cognitive Impairment Organized Group (FROG), University of Valencia, 46010 Valencia, Spain
- Chair of Active Ageing, University of Valencia, 4610 Valencia, Spain
| | - Nisrin El Mlili
- Higher Institute of Nursing Professions and Health Techniques (ISPITS), Tetouan 93000, Morocco
- Department of Biology and Health, Faculty of Sciences, University Abdelmalek Essâadi, Tetouan 93000, Morocco
| | - Omar Cauli
- Department of Nursing, Faculty of Nursing and Podiatry, University of Valencia, Avda Menéndez Pidal 19, 46010 Valencia, Spain
- Frailty and Cognitive Impairment Organized Group (FROG), University of Valencia, 46010 Valencia, Spain
- Chair of Active Ageing, University of Valencia, 4610 Valencia, Spain
- Correspondence:
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Miettinen T, Nieminen AI, Mäntyselkä P, Kalso E, Lötsch J. Machine Learning and Pathway Analysis-Based Discovery of Metabolomic Markers Relating to Chronic Pain Phenotypes. Int J Mol Sci 2022; 23:5085. [PMID: 35563473 PMCID: PMC9099732 DOI: 10.3390/ijms23095085] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Revised: 04/28/2022] [Accepted: 04/28/2022] [Indexed: 11/19/2022] Open
Abstract
Recent scientific evidence suggests that chronic pain phenotypes are reflected in metabolomic changes. However, problems associated with chronic pain, such as sleep disorders or obesity, may complicate the metabolome pattern. Such a complex phenotype was investigated to identify common metabolomics markers at the interface of persistent pain, sleep, and obesity in 71 men and 122 women undergoing tertiary pain care. They were examined for patterns in d = 97 metabolomic markers that segregated patients with a relatively benign pain phenotype (low and little bothersome pain) from those with more severe clinical symptoms (high pain intensity, more bothersome pain, and co-occurring problems such as sleep disturbance). Two independent lines of data analysis were pursued. First, a data-driven supervised machine learning-based approach was used to identify the most informative metabolic markers for complex phenotype assignment. This pointed primarily at adenosine monophosphate (AMP), asparagine, deoxycytidine, glucuronic acid, and propionylcarnitine, and secondarily at cysteine and nicotinamide adenine dinucleotide (NAD) as informative for assigning patients to clinical pain phenotypes. After this, a hypothesis-driven analysis of metabolic pathways was performed, including sleep and obesity. In both the first and second line of analysis, three metabolic markers (NAD, AMP, and cysteine) were found to be relevant, including metabolic pathway analysis in obesity, associated with changes in amino acid metabolism, and sleep problems, associated with downregulated methionine metabolism. Taken together, present findings provide evidence that metabolomic changes associated with co-occurring problems may play a role in the development of severe pain. Co-occurring problems may influence each other at the metabolomic level. Because the methionine and glutathione metabolic pathways are physiologically linked, sleep problems appear to be associated with the first metabolic pathway, whereas obesity may be associated with the second.
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Affiliation(s)
- Teemu Miettinen
- Pain Clinic, Department of Perioperative Medicine, Intensive Care and Pain Medicine, Helsinki University Hospital and SleepWell Research Programme, University of Helsinki, 00014 Helsinki, Finland; (T.M.); (E.K.)
| | - Anni I. Nieminen
- Metabolomics Unit, Institute for Molecular Medicine Finland (FIMM), University of Helsinki, 00014 Helsinki, Finland;
| | - Pekka Mäntyselkä
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio Finland, and Primary Health Care Unit, Kuopio University Hospital, 70211 Kuopio, Finland;
| | - Eija Kalso
- Pain Clinic, Department of Perioperative Medicine, Intensive Care and Pain Medicine, Helsinki University Hospital and SleepWell Research Programme, University of Helsinki, 00014 Helsinki, Finland; (T.M.); (E.K.)
| | - Jörn Lötsch
- Institute of Clinical Pharmacology, Goethe—University, Theodor—Stern—Kai 7, 60590 Frankfurt am Main, Germany
- Fraunhofer Institute for Translational Medicine and Pharmacology ITMP, Theodor-Stern-Kai 7, 60596 Frankfurt am Main, Germany
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Proteomics Reveals Molecular Changes in Insomnia Patients with More Dreams. COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE 2022; 2022:6181943. [PMID: 35432581 PMCID: PMC9012652 DOI: 10.1155/2022/6181943] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 03/10/2022] [Accepted: 03/18/2022] [Indexed: 11/17/2022]
Abstract
Background Insomnia is a sleep disorder and the cause of many healthy problems. However, there are few studies on patients with insomnia and dreaminess at present. Therefore, this study is aimed at exploring the pathological molecular mechanisms and potential diagnostic and therapeutic targets related to insomnia patients with more dreams. Methods Sleep characteristics of 36 primary insomnia patients with more dreams and 36 well sleeping participants were assessed using polysomnography (PSG) and Pittsburgh Sleep Quality Index (PSQI). Serum samples from 9 insomnia patients and 9 controls were randomly selected for proteomic detection. Differentially expressed proteins (DEPs) between the two groups were identified; enrichment analysis and PPI network were performed. The top 10 most connected proteins in the PPI network were subjected to targeted drug prediction and screened key proteins. Proteins with targeted drugs were recognized as key proteins and subjected to ELISA detection. Results Insomnia patients had a distinct REM behavior disorder signature compared with controls. Proteomic sequencing identified 76 DEPs. Enrichment analysis found that DEPs were significantly enriched in the complement and coagulation cascades. Metabolic responses were also activated in insomnia patients. Among the hub proteins screened in the PPI network, APOA1, APOB, F2, and SPARC may be targeted by many herbal medicines and considered as key proteins. ELISA assays validated their differential expression between insomnia and controls. Conclusion In this study, we identified the potential key proteins of insomnia patients with more dreams. The pathological process may associate with inflammation and metabolic response. These results provide molecular targets for diagnostic and therapeutic targets. The results of our analysis suggest that the expression changes of key proteins have a good predictive diagnostic role for the occurrence of insomnia with more dreams in patients.
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Park SH, Shin NR, Yang M, Bose S, Kwon O, Nam DH, Lee JH, Song EJ, Nam YD, Kim H. A Clinical Study on the Relationship Among Insomnia, Tongue Diagnosis, and Oral Microbiome. THE AMERICAN JOURNAL OF CHINESE MEDICINE 2022; 50:773-797. [PMID: 35380093 DOI: 10.1142/s0192415x2250032x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Currently, there is a lack of adequate methods to assess insomnia objectively. This study addresses the usefulness of tongue features and oral microbial profile as a potential diagnostic biomarker of insomnia. One hundred insomniac patients and 20 healthy control subjects were selected. Their demographic and clinical characteristics, as well as the tongue diagnostic indices and oral microbial profile, were examined. Compared to the control group, insomniac patients showed a higher abnormal low-frequency/high-frequency (LF/HF) ratio. In tongue diagnosis, the indices related to lightness of tongue body and tongue coating were higher in the insomniac group vs. the control group. Furthermore, linear discriminant analysis (LDA) of oral microbial population revealed that the relative abundances of Clostridia, Veillonella, Bacillus and Lachnospiraceae were significantly higher in the insomniac patients than the control group. Additionally, the tongue features of the insomniac group exhibited that the non-coating group had a poor sleep condition compared to the thick-coating group, although the difference was insignificant. On the other hand, the oral microbial communities of the insomniac patients revealed greater alpha and beta diversities in the non-coating group vs. the thick-coating group. The alpha and beta diversities were higher in orotype1 than orotype2. Collectively, this study highlighted that the lightness of tongue body and tongue coating as well as oral microbial profiles of SR1, Actinobacteria, Clostridia and Lachnospiraceae_unclassified could be considered potential biomarkers of insomnia.
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Affiliation(s)
- Seo-Hyun Park
- Department of Rehabilitation Medicine of Korean Medicine, Dongguk University Goyang, Republic of Korea
| | - Na Rae Shin
- Department of Rehabilitation Medicine of Korean Medicine, Dongguk University Goyang, Republic of Korea
| | - Meng Yang
- Department of Rehabilitation Medicine of Korean Medicine, Dongguk University Goyang, Republic of Korea
| | - Shambhunath Bose
- Department of Life Science, Sri Sathya Sai University for Human Excellence Navanihal, Okali Post, Kamalapur, Kalaburagi, Karnataka 585313, India
| | - Ojin Kwon
- Division of Clinical Medicine, Korea Institute of Oriental Medicine, Republic of Korea
| | - Dong-Hyun Nam
- Department of Biofunctional Medicine and Diagnosis, College of Korean Medicine Sangji University, Wonju 26382, Republic of Korea
| | - Jun-Hwan Lee
- Division of Clinical Medicine, Korea Institute of Oriental Medicine, Republic of Korea
| | - Eun-Ji Song
- Research Group of Healthcare, Korea Food Research Institute, Wanju-gun 55365, Republic of Korea
- Department of Food Biotechnology, Korea University of Science and Technology, Daejeon 34113, Republic of Korea
| | - Young-Do Nam
- Research Group of Healthcare, Korea Food Research Institute, Wanju-gun 55365, Republic of Korea
- Department of Food Biotechnology, Korea University of Science and Technology, Daejeon 34113, Republic of Korea
| | - Hojun Kim
- Department of Rehabilitation Medicine of Korean Medicine, Dongguk University Goyang, Republic of Korea
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Liu J, Richmond RC, Bowden J, Barry C, Dashti HS, Daghlas I, Lane JM, Jones SE, Wood AR, Frayling TM, Wright AK, Carr MJ, Anderson SG, Emsley RA, Ray DW, Weedon MN, Saxena R, Lawlor DA, Rutter MK. Assessing the Causal Role of Sleep Traits on Glycated Hemoglobin: A Mendelian Randomization Study. Diabetes Care 2022; 45:772-781. [PMID: 35349659 PMCID: PMC9114722 DOI: 10.2337/dc21-0089] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 11/18/2021] [Indexed: 02/03/2023]
Abstract
OBJECTIVE To examine the effects of sleep traits on glycated hemoglobin (HbA1c). RESEARCH DESIGN AND METHODS This study triangulated evidence across multivariable regression (MVR) and one- (1SMR) and two-sample Mendelian randomization (2SMR) including sensitivity analyses on the effects of five self-reported sleep traits (i.e., insomnia symptoms [difficulty initiating or maintaining sleep], sleep duration, daytime sleepiness, napping, and chronotype) on HbA1c (in SD units) in adults of European ancestry from the UK Biobank (for MVR and 1SMR analyses) (n = 336,999; mean [SD] age 57 [8] years; 54% female) and in the genome-wide association studies from the Meta-Analyses of Glucose and Insulin-Related Traits Consortium (MAGIC) (for 2SMR analysis) (n = 46,368; 53 [11] years; 52% female). RESULTS Across MVR, 1SMR, 2SMR, and their sensitivity analyses, we found a higher frequency of insomnia symptoms (usually vs. sometimes or rarely/never) was associated with higher HbA1c (MVR 0.05 SD units [95% CI 0.04-0.06]; 1SMR 0.52 [0.42-0.63]; 2SMR 0.24 [0.11-0.36]). Associations remained, but point estimates were somewhat attenuated after excluding participants with diabetes. For other sleep traits, there was less consistency across methods, with some but not all providing evidence of an effect. CONCLUSIONS Our results suggest that frequent insomnia symptoms cause higher HbA1c levels and, by implication, that insomnia has a causal role in type 2 diabetes. These findings could have important implications for developing and evaluating strategies that improve sleep habits to reduce hyperglycemia and prevent diabetes.
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Affiliation(s)
- Junxi Liu
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Rebecca C. Richmond
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Jack Bowden
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K
- College of Medicine and Health, University of Exeter, Exeter, U.K
| | - Ciarrah Barry
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, U.K
| | - Hassan S. Dashti
- Centre for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA
| | - Iyas Daghlas
- Centre for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA
| | - Jacqueline M. Lane
- Centre for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA
| | - Samuel E. Jones
- Institute for Molecular Medicine Finland, University of Helsinki, Helsinki, Finland
| | - Andrew R. Wood
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, U.K
| | - Timothy M. Frayling
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, U.K
| | - Alison K. Wright
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, U.K
| | - Matthew J. Carr
- Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, U.K
- Manchester Academic Health Science Centre, University of Manchester, Manchester, U.K
- National Institute for Health Research (NIHR) Greater Manchester Patient Safety Translational Research Centre, University of Manchester, Manchester, U.K
| | - Simon G. Anderson
- George Alleyne Chronic Disease Research Centre, Caribbean Institute of Health Research, University of the West Indies, Kingston, Jamaica
- Division of Cardiovascular Sciences, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, U.K
| | - Richard A. Emsley
- Department of Biostatistics and Health Informatics, King’s College London, London, U.K
| | - David W. Ray
- NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, Oxford, U.K
- Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, U.K
| | - Michael N. Weedon
- Genetics of Complex Traits, University of Exeter Medical School, Exeter, U.K
| | - Richa Saxena
- Centre for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA
- Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA
- Division of Sleep and Circadian Disorders, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA
| | - Deborah A. Lawlor
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, U.K
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, U.K
- NIHR Bristol Biomedical Research Centre, University Hospitals Bristol National Health Service (NHS) Foundation Trust, University of Bristol, Bristol, U.K
| | - Martin K. Rutter
- Division of Diabetes, Endocrinology and Gastroenterology, School of Medical Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, U.K
- Diabetes, Endocrinology and Metabolism Centre, Manchester University NHS Foundation Trust, Manchester Academic Health Science Centre, Manchester, U.K
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Jiang Y, Gen N, Wang P, Feng N, Lu X. Prednisolone induces sleep disorders via inhibition of melatonin secretion by the circadian rhythm in zebrafish. Pharmacotherapy 2022; 147:112590. [PMID: 35007999 DOI: 10.1016/j.biopha.2021.112590] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2021] [Revised: 12/21/2021] [Accepted: 12/23/2021] [Indexed: 11/02/2022]
Abstract
Prednisolone (PN) is a glucocorticoid (GC) analog that is clinically used to treat allergic inflammation and autoimmune diseases. However, the long-term use of GC-like drugs results in many side effects, among which sleep disorders caused by PN have attracted much attention. Many studies have showed that GCs indirectly cause sleep disorders by disrupting the circadian rhythm of the peripheral biological clock. However, the detailed mechanism of this effect in zebrafish remains unclear. In the present study, we aimed to study the pharmacology and toxicology of PN by analyzing the sleep phenotype and internal circadian oscillation of zebrafish. Exposure of zebrafish to PN resulted in decreased melatonin secretion and shortened sleep time. Additionally, analysis of the internal circadian rhythm of the zebrafish revealed that the expression of per and cry was significantly upregulated, resulting in a significant delay in the phase of the zebrafish behavioral rhythm. A dual-luciferase reporter assay further revealed that PN repressed per2 and cry1aa expression via the GC receptor (GR), which inhibited aanat2 expression. This caused a decrease in melatonin secretion and led to sleep disorders. The findings of this study highlight the mechanisms underlying the effects of GCs on sleep.
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Affiliation(s)
- Yu Jiang
- Department of Orthopedics, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi, Jiangsu 214000, China
| | - Nan Gen
- Department of TeZhen, Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China; Jiangsu Key Laboratory of Oral Diseases, Nanjing Medical University, Affiliated Stomatological Hospital of Nanjing Medical University, Nanjing, Jiangsu 210029, China
| | - Peisong Wang
- Department of Cardiac Surgery, DongE Hospital, 275 Shuguang Road, DongE County, Liaocheng City, Shandong Province 252200, China
| | - Ninghang Feng
- The Affiliated Wuxi Clinical College of Nantong University, Jiangsu 214000, China.
| | - Xiaojie Lu
- Department of Orthopedics, The Affiliated Wuxi No.2 People's Hospital of Nanjing Medical University, Wuxi, Jiangsu 214000, China.
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Wang C, Yang Y, Ding X, Li J, Zhou X, Teng J, Qi X. Efficacy and safety of Shumian capsules in treating insomnia: A systematic review and meta-analysis. Medicine (Baltimore) 2021; 100:e28194. [PMID: 34918675 PMCID: PMC8678016 DOI: 10.1097/md.0000000000028194] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 11/19/2021] [Indexed: 01/05/2023] Open
Abstract
BACKGROUND It is known to all that the incidence of insomnia is becoming higher and higher with the increase of people's life stress. To some extent, it has brought about bad effects on people's life, work, study, and health, such as mental exhaustion, low work efficiency, and mood irritability. Now there are medications and non-medications methods for insomnia. As one of the treatments for insomnia, western medicine is to prolong the sleeping time and improve the anxious mood. However, taking western medicine to treat insomnia can also be accompanied by some adverse reactions at the same time, such as drug dependence, an allergic reaction, and so on. Traditional Chinese medicine therapy is based on syndrome differentiation and holistic concept. Shumian capsules (SM) are a kind of proprietary Chinese medicine for insomnia, which have the effect of relieving depression and calming the mind. But there are no studies on the efficacy and safety of SM in the treatment of insomnia. Therefore, I will provide a systematic review and meta-analysis to evaluate the efficacy and safety of SM for insomnia. METHODS All the studies searched were from PubMed, EMBASE, Web of Science, Cochrane Library, Chinese National Knowledge Infrastructure, and WanFang databases, and the studies types included in the analysis were all randomized controlled trials. All the retrieval contents were completed independently by 2 researchers, and a third reviewer would be involved when there existed any disagreement. The eligible studies were screened out according to the inclusion criteria and exclusion criteria, and some useful information was extracted and made into a feature table, including the year of the included studies, the age, and disease course of the participants in the studies and intervention methods, etc. Cochrane risk-of-bias tool was used to evaluate the quality of literature and meta-analysis was conducted by RevMan 5.4 software. RESULTS A total of 9 articles including 709 participants were included in the study after screening out. The primary outcomes of statistical analysis were cure rate and total effective rate, while the secondary outcomes included Pittsburgh sleep quality index score and incidence of adverse reactions. The results showed that Pittsburgh sleep quality index score of the SM group and Western medicine group were statistically significant (MD = -0.50, 95% confidence interval [CI] = [-0.78, -0.22], P = .0005). The total effective rate of the SM group was slightly higher than that of the Western medicine group, but there was no statistical significance (relative risk [RR] = 1.03, 95% CI = [0.95,1.13], P = .43). CONCLUSION This meta-analysis provides evidence for the efficacy and safety of SM in the treatment of insomnia, and provides a new idea for the clinical treatment of insomnia. But more research is needed to support further evidence.
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Affiliation(s)
- Cuiying Wang
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Yuying Yang
- Tianjin University of Traditional Chinese Medicine, Tianjin, China
| | - Xiao Ding
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
| | - Jiamin Li
- Hunan University of Traditional Chinese Medicine, Changsha, China
| | - Xue Zhou
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Jing Teng
- Shandong University of Traditional Chinese Medicine, Jinan, China
| | - Xianghua Qi
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China
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Chen G, Xie J, Liu W, Liang T, Liao X, Liao W, Song L, Zhang X. Association between depression and sleep apnoea: a Mendelian randomisation study. ERJ Open Res 2021; 8:00394-2021. [PMID: 35141322 PMCID: PMC8819249 DOI: 10.1183/23120541.00394-2021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2021] [Accepted: 10/19/2021] [Indexed: 11/29/2022] Open
Abstract
Background Studies have reported a close relationship between depression and sleep apnoea, yet it is unknown whether these are causally related. Thus, we aimed to determine whether depression is associated with the aetiology of sleep apnoea. Methods We used publicly available genetic summary data from two large consortia: the Psychiatric Genomics Consortium, with data from 36 single-nucleotide polymorphisms (SNPs) closely associated with major depressive disorder (MDD), and the UK Biobank, including 456 736 patients with sleep apnoea and 766 964 controls. For Mendelian randomisation (MR) analysis, we used the inverse-variance weighted method, weighted median method, MR-Egger regression, MR pleiotropy residual sum and outlier test to retrieve summary data. Analyses were performed using the “TwoSampleMR” package in R. Results Out of the 36 SNPs associated with MDD, we found statistically significant evidence of a potential causal effect of MDD on the risk of sleep apnoea (OR 1.004, 95% CI 1.001–1.006; p=0.001). Similar results were obtained using the MR-Egger and weighted median methods. Additionally, we found no heterogeneity or pleiotropy. Conclusions Our findings suggest that depression slightly increases the risk of sleep apnoea. Further investigation of the potential biological mechanisms is necessary. The results of this study show that depression has a potential causal relationship with a higher risk of sleep apnoea, providing evidence for the role of depression in sleep apnoeahttps://bit.ly/3CJavif
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Dong YJ, Jiang NH, Zhan LH, Teng X, Fang X, Lin MQ, Xie ZY, Luo R, Li LZ, Li B, Zhang BB, Lv GY, Chen SH. Soporific effect of modified Suanzaoren Decoction on mice models of insomnia by regulating Orexin-A and HPA axis homeostasis. Biomed Pharmacother 2021; 143:112141. [PMID: 34509822 DOI: 10.1016/j.biopha.2021.112141] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/26/2021] [Accepted: 08/31/2021] [Indexed: 12/12/2022] Open
Abstract
AIM Modified Suanzaoren Decoction (MSZRD) is obtained by improving Suanzaoren Decoction (SZRT), a traditional Chinese herbal prescription that has been used to treat insomnia for more than thousands of years. Our previous study showed that MSZRD can improve the gastrointestinal discomfort related insomnia by regulating Orexin-A. This study is the first study to evaluate the effects and possible mechanisms of MSZRD in mice with insomnia caused by p-chlorophenylalanine (PCPA) combined with multifactor random stimulation. METHODS After 14 days of multifactor stimulation to ICR mice, a PCPA suspension (30 mg/mL) was injected intraperitoneally for two consecutive days to establish an insomnia model. Three different doses of MSZRD (3.6, 7.2, and 14.4 g/kg/day) were given to ICR mice for 24 days. The food intake and back temperature were measured, and behavioral tests and pentobarbital sodium-induced sleep tests were conducted. The levels of Orexin-A, corticotropin-releasing hormone (CRH), adrenocorticotropic hormone (ACTH), and adrenocortical hormones (CORT) in the serum and 5-hydroxytryptamine (5-HT), dopamine (DA), and norepinephrine (NE) in hypothalamus were measured using enzyme-linked immunosorbent assay (ELISA) kits. The levels of γ-aminobutyric acid (GABA) and glutamic acid (Glu) were measured by high-performance liquid chromatography (HPLC). The expression of 5HT1A receptor (5-HTRIA) and orexin receptor 2 antibody (OX2R) was measured by Western blot (WB) and immunohistochemical staining (ICH). Hematoxylin and eosin (H&E) staining and Nissl staining were used to assess the histological changes in hypothalamus tissue. RESULTS Of note, MSZRD can shorten the sleep latency of insomnia mice (P < 0.05, 0.01), prolonged the sleep duration of mice (P < 0.05, 0.01), and improve the circadian rhythm disorder relative to placebo-treated animals. Furthermore, MSZRD effectively increased the content of 5-HT and 5-HTR1A protein in the hypothalamus of insomnia mice (P < 0.05, 0.01), while downregulated the content of DA and NE (P < 0.05, 0.01). Importantly, serum GABA concentration was increased by treatment with MSZRD (P < 0.05), as reflected by a decreased Glu/GABA ratio (P < 0.05). Moreover, MSZRD decreased the levels of CORT, ACTH, and CRH related hormones in HPA axis (P < 0.05, 0.01). At the same time, MSZRD significantly downregulated the serum Orexin-A content in insomnia mice (P < 0.05), as well as hypothalamic OX2R expression (P < 0.05). In addition, MSZRD also improved the histopathological changes in hypothalamus in insomnia mice. CONCLUSION MSZRD has sleep-improvement effect in mice model of insomnia. The mechanism may be that regulating the expression of Orexin-A affects the homeostasis of HPA axis and the release of related neurotransmitters in mice with insomnia.
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Affiliation(s)
- Ying-Jie Dong
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Xiacheng District, Hangzhou, Zhejiang 310014, China
| | - Ning-Hua Jiang
- The Second Affiliated Hospital of Jiaxing University, No. 1518, Huancheng North Road, Nanhu District, Jaxing, Zhejiang 314001, China
| | - Liang-Hui Zhan
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Xiacheng District, Hangzhou, Zhejiang 310014, China
| | - Xi Teng
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Xiacheng District, Hangzhou, Zhejiang 310014, China
| | - Xi Fang
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Xiacheng District, Hangzhou, Zhejiang 310014, China
| | - Min-Qiu Lin
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Xiacheng District, Hangzhou, Zhejiang 310014, China
| | - Zhi-Yi Xie
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Xiacheng District, Hangzhou, Zhejiang 310014, China
| | - Rong Luo
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Xiacheng District, Hangzhou, Zhejiang 310014, China
| | - Lin-Zi Li
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Xiacheng District, Hangzhou, Zhejiang 310014, China
| | - Bo Li
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Xiacheng District, Hangzhou, Zhejiang 310014, China
| | - Bei-Bei Zhang
- Center for Food Evaluation, State Administrition for Market Regulation, No. 188 Western Road of South Fourth Ring Road, Fengtai District, Beijing 100070, China.
| | - Gui-Yuan Lv
- College of Pharmaceutical Science, Zhejiang Chinese Medical University, No. 548, Binwen Road, Binjiang District, Hangzhou, Zhejiang 310053, China.
| | - Su-Hong Chen
- Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, No. 18, Chaowang Road, Xiacheng District, Hangzhou, Zhejiang 310014, China.
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Abstract
Sleep plays a critical role in the development of healthy children. Detecting sleep and sleep disorders and the effectiveness of interventions for improving sleep in children require valid sleep measures. Assessment of sleep in children, in particular infants and young children, can be a quite challenging task. Many subjective and objective methods are available to evaluate various aspects of sleep in childhood, each with their strengths and limitations. None can, however, replace the importance of thorough clinical interview with detailed history and clinical examination by a sleep specialist.
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Affiliation(s)
- Barbara Gnidovec Stražišar
- Pediatric Department, Centre for Pediatric Sleep Disorders, General Hospital Celje, Oblakova ulica 5, Celje 3000, Slovenia; College of Nursing in Celje, Celje, Slovenia; Medical Faculty, University of Maribor, Maribor, Slovenia.
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46
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Pereira GA, da Silva A, Hermsdorff HHM, Moreira APB, de Aguiar AS. Association of dietary total antioxidant capacity with depression, anxiety, and sleep disorders: A systematic review of observational studies. J Clin Transl Res 2021; 7:631-640. [PMID: 34778593 PMCID: PMC8580524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 07/20/2021] [Accepted: 09/09/2021] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND AND AIM We aimed to systematically review observational studies that evaluated the potential association of the dietary total antioxidant capacity (dTAC) with common mental disorders (depression and anxiety) and sleep disorders. METHODS Studies with an observational design that evaluated the association between the dTAC and common mental disorders and sleep disorders were identified using the PubMed and Scopus databases. The meta-analysis guideline of observational studies in epidemiology and the preferred reporting items for systematic reviews and meta-analysis were used to conduct and report the data of this systematic review. RESULTS Of the 439 records, seven studies were included in this review. There was a sample variation of 41-3297 participants. We highlight that five of the studies analyzed were conducted in the Iranian population. Four studies analyzed only women, and three studies were conducted with postmenopausal or climacteric women. Four cross-sectional studies showed inverse associations between the dTAC and depression, anxiety, and sleep disorders in Iranians. CONCLUSION The consumption of a diet rich in antioxidants, characterized by high dTAC scores, seems to be inversely associated with depression, anxiety, and sleep disorders. However, further studies with different populations and designs are necessary for a better understand this relationship. RELEVANCE TO PATIENTS This review assesses the association of the dTAC with common mental disorders (depression and anxiety) with sleep disorders. This will help guide further studies on the relationship between diet and mental disorders and sleep disorders. Knowledge about these relationships is essential for the creation of non-pharmacological practices for the prevention of these disorders.
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Affiliation(s)
- Gabriela Amorim Pereira
- Department of Collective Health, Faculty of Medicine, Universidade Federal de Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil
| | - Alessandra da Silva
- Department of Nutrition and Health, Laboratory of Energy Metabolism and Body Composition, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
| | - Helen Hermana M. Hermsdorff
- Department of Nutrition and Health, Laboratory of Energy Metabolism and Body Composition, Universidade Federal de Viçosa, Viçosa, Minas Gerais, Brazil
| | - Ana Paula Boroni Moreira
- Department of Nutrition, Universidade Federal de Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil
| | - Aline Silva de Aguiar
- Department of Nutrition, Universidade Federal de Juiz de Fora, Juiz de Fora, Minas Gerais, Brazil
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47
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Dutta S, Li D, Wang A, Ishak M, Cook K, Farnham M, Dissanayake H, Cistulli P, Hunyor I, Liu R, Wilcox I, Koay YC, Yang J, Lal S, O'Sullivan JF. Metabolite signatures of heart failure, sleep apnoea, their interaction, and outcomes in the community. ESC Heart Fail 2021; 8:5392-5402. [PMID: 34657379 PMCID: PMC8712919 DOI: 10.1002/ehf2.13631] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/03/2021] [Revised: 08/23/2021] [Accepted: 09/11/2021] [Indexed: 12/23/2022] Open
Abstract
AIMS Sleep apnoea and congestive heart failure (CHF) commonly co-exist, but their interaction is unclear. Metabolomics may clarify their interaction and relationships to outcome. METHODS AND RESULTS We assayed 372 circulating metabolites and lipids in 1919 and 1524 participants of the Framingham Heart Study (FHS) (mean age 54 ± 10 years, 53% women) and Women's Health Initiative (WHI) (mean age 67 ± 7 years), respectively. We used linear and Cox regression to relate plasma concentrations of metabolites and lipids to echocardiographic parameters; CHF and its subtypes heart failure with reduced ejection fraction (HFrEF) and heart failure with preserved ejection fraction (HFpEF); and sleep indices. Adenine dinucleotide phosphate (ADP) associated with left ventricular (LV) fractional shortening; phosphocreatine with LV wall thickness; lysosomal storage molecule sphingomyelin 18:2 with LV mass; and nicotine metabolite cotinine with time spent with an oxygen saturation less than 90% (β = 2.3 min, P = 2.3 × 10-5 ). Pro-hypertrophic metabolite hydroxyglutarate partly mediated the association between LV wall thickness and HFpEF. Central sleep apnoea was significantly associated with HFpEF (P = 0.03) but not HFrEF (P = 0.5). There were three significant metabolite canonical variates, one of which conferred protection from cardiovascular death [hazard ratio = 0.3 (0.11, 0.81), P = 0.02]. CONCLUSIONS Energetic metabolites were associated with cardiac function; energy- and lipid-storage metabolites with LV wall thickness and mass; plasma levels of nicotine metabolite cotinine were associated with increased time spent with a sleep oxygen saturation less than 90%, a clinically significant marker of outcome, indicating a significant hazard for smokers who have sleep apnoea.
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Affiliation(s)
- Shashwati Dutta
- Heart Research Institute, Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, 2006, Australia.,School of Mathematics and Statistics, The University of Sydney, Camperdown, Sydney, NSW, Australia.,Precision Cardiovascular Laboratory, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Desmond Li
- Heart Research Institute, Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, 2006, Australia.,Precision Cardiovascular Laboratory, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Andy Wang
- Northern Clinical School, Sydney Medical School, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Mark Ishak
- Heart Research Institute, Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, 2006, Australia
| | - Kristina Cook
- Northern Clinical School, Sydney Medical School, The University of Sydney, Camperdown, Sydney, NSW, Australia.,Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Melissa Farnham
- Heart Research Institute, Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, 2006, Australia
| | - Hasthi Dissanayake
- Northern Clinical School, Sydney Medical School, The University of Sydney, Camperdown, Sydney, NSW, Australia.,Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Peter Cistulli
- Northern Clinical School, Sydney Medical School, The University of Sydney, Camperdown, Sydney, NSW, Australia.,Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Imre Hunyor
- Department of Cardiology, Royal Prince Alfred Hospital, Camperdown, Sydney, NSW, Australia.,Central Clinical School, Sydney Medical School, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Renping Liu
- Heart Research Institute, Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, 2006, Australia.,Precision Cardiovascular Laboratory, The University of Sydney, Camperdown, Sydney, NSW, Australia.,Central Clinical School, Sydney Medical School, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Ian Wilcox
- Department of Cardiology, Royal Prince Alfred Hospital, Camperdown, Sydney, NSW, Australia.,Central Clinical School, Sydney Medical School, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Yen Chin Koay
- Heart Research Institute, Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, 2006, Australia.,Precision Cardiovascular Laboratory, The University of Sydney, Camperdown, Sydney, NSW, Australia.,Central Clinical School, Sydney Medical School, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Jean Yang
- School of Mathematics and Statistics, The University of Sydney, Camperdown, Sydney, NSW, Australia.,Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - Sean Lal
- Precision Cardiovascular Laboratory, The University of Sydney, Camperdown, Sydney, NSW, Australia.,Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, Australia.,Department of Cardiology, Royal Prince Alfred Hospital, Camperdown, Sydney, NSW, Australia.,Central Clinical School, Sydney Medical School, The University of Sydney, Camperdown, Sydney, NSW, Australia
| | - John F O'Sullivan
- Heart Research Institute, Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, 2006, Australia.,Precision Cardiovascular Laboratory, The University of Sydney, Camperdown, Sydney, NSW, Australia.,Charles Perkins Centre, The University of Sydney, Camperdown, Sydney, NSW, Australia.,Department of Cardiology, Royal Prince Alfred Hospital, Camperdown, Sydney, NSW, Australia.,Central Clinical School, Sydney Medical School, The University of Sydney, Camperdown, Sydney, NSW, Australia.,Faculty of Medicine, TU Dresden, Dresden, Germany
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48
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Comorbid Insomnia and Obstructive Sleep Apnea (COMISA): Current Concepts of Patient Management. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18179248. [PMID: 34501836 PMCID: PMC8430469 DOI: 10.3390/ijerph18179248] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 08/27/2021] [Accepted: 08/28/2021] [Indexed: 01/15/2023]
Abstract
Obstructive sleep apnea (OSA) and insomnia are the two most common sleep disorders among the general population, and they may often coexist in patients with sleep-disordered breathing (SDB). The higher prevalence of insomnia symptoms in patients with OSA (40–60%) compared to that observed in the general population has thus led researchers to identify a new disorder named comorbid insomnia and OSA (COMISA), whose true burden has been so far largely underestimated. The combined treatment of COMISA patients with positive-airway pressure ventilation (PAP) with cognitive behavioral therapy for insomnia (CBTi) has shown a better patient outcome compared to that obtained with a single treatment. Furthermore, recent evidence has shown that an innovative patient-centered approach taking into consideration patient characteristics, treatment preferences and accessibility to treatment is recommended to optimize clinical management of COMISA patients. However, in this complex mosaic, many other sleep disorders may overlap with COMISA, so there is an urgent need for further research to fully understand the impact of these therapies on outcomes for OSA patients with comorbidity. In light of this need, this review focuses on the major sleep disorders comorbid with OSA and the recent advances in the management of these insomniac patients.
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49
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Novozhilova M, Mishchenko T, Kondakova E, Lavrova T, Gavrish M, Aferova S, Franceschi C, Vedunova M. Features of age-related response to sleep deprivation: in vivo experimental studies. Aging (Albany NY) 2021; 13:19108-19126. [PMID: 34320466 PMCID: PMC8386558 DOI: 10.18632/aging.203372] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2021] [Accepted: 07/17/2021] [Indexed: 12/23/2022]
Abstract
Insomnia is currently considered one of the potential triggers of accelerated aging. The frequency of registered sleep-wake cycle complaints increases with age and correlates with the quality of life of elderly people. Nevertheless, whether insomnia is actually an age-associated process or whether it acts as an independent stress-factor that activates pathological processes, remains controversial. In this study, we analyzed the effects of long-term sleep deprivation modeling on the locomotor and orienting-exploratory activity, spatial learning abilities and working memory of C57BL/6 female mice of different ages. We also evaluated the modeled stress influence on morphological changes in brain tissue, the functional activity of the mitochondrial apparatus of nerve cells, and the level of DNA methylation and mRNA expression levels of the transcription factor HIF-1α (Hif1) and age-associated molecular marker PLIN2. Our findings point to the age-related adaptive capacity of female mice to the long-term sleep deprivation influence. For young (1.5 months) mice, the modeled sleep deprivation acts as a stress factor leading to weight loss against the background of increased food intake, the activation of animals' locomotor and exploratory activity, their mnestic functions, and molecular and cellular adaptive processes ensuring animal resistance both to stress and risk of accelerated aging development. Sleep deprivation in adult (7-9 months) mice is accompanied by an increase in body weight against the background of active food intake, increased locomotor and exploratory activity, gross disturbances in mnestic functions, and decreased adaptive capacity of brain cells, that potentially increasing the risk of pathological reactions and neurodegenerative processes.
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Affiliation(s)
- Maria Novozhilova
- Institute of Biology and Biomedicine, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod 603022, Russia
| | - Tatiana Mishchenko
- Institute of Biology and Biomedicine, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod 603022, Russia
| | - Elena Kondakova
- Institute of Biology and Biomedicine, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod 603022, Russia
| | - Tatiana Lavrova
- Institute of Biology and Biomedicine, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod 603022, Russia
| | - Maria Gavrish
- Institute of Biology and Biomedicine, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod 603022, Russia
| | - Svetlana Aferova
- Institute of Biology and Biomedicine, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod 603022, Russia
| | - Claudio Franceschi
- Institute of Information Technologies, Mathematics and Mechanics (ITMM), National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod 603022, Russia
| | - Maria Vedunova
- Institute of Biology and Biomedicine, National Research Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod 603022, Russia
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50
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Chen LD, Huang ZW, Huang YZ, Huang JF, Zhang ZP, Lin XJ. Untargeted Metabolomic Profiling of Liver in a Chronic Intermittent Hypoxia Mouse Model. Front Physiol 2021; 12:701035. [PMID: 34305653 PMCID: PMC8298499 DOI: 10.3389/fphys.2021.701035] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2021] [Accepted: 06/14/2021] [Indexed: 12/13/2022] Open
Abstract
Obstructive sleep apnea (OSA) has been demonstrated to be associated with liver injury. Nevertheless, the mechanisms linking the two disorders remain largely unexplored to date. Based on UHPLC/Q-TOF MS platform, the present study aimed to study the hepatic metabolomic profiling in a chronic intermittent hypoxia (CIH) mouse model to identify altered metabolites and related metabolic pathways. C57BL/6 Mice (n = 12 each group) were exposed to intermittent hypoxia or control conditions (room air) for 12 weeks. At the end of the exposure, liver enzymes and histological changes were assessed. Untargeted metabolomics approach by UHPLC/Q-TOF MS and orthogonal partial least squares-discriminant analysis (OPLS-DA) were applied to screen altered metabolites in mice liver. Bioinformatics analyses were applied to identify the related metabolic pathways. CIH treatment caused a remarkable liver injury in mice. A total of 27 differential metabolites in negative ion mode and 44 in positive ion mode were identified between the two groups. These metabolites were correlated to multiple biological and metabolic processes, including various amino acid metabolism, membrane transport, lipid metabolism, carbohydrate metabolism, nucleotide metabolism, ferroptosis, etc. three differential metabolites including glutathione, glutathione disulfide, arachidonic acid (peroxide free) were identified in the ferroptosis pathway. CIH was associated with a significant metabolic profiling change in mice liver. The metabolites in amino acid metabolism, membrane transport, lipid metabolism, carbohydrate metabolism, nucleotide metabolism, and ferroptosis played an important role in CIH-induced liver injury. These findings contribute to a better understanding of the mechanisms linking OSA and liver injury and help identify potential therapeutic targets.
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Affiliation(s)
- Li-Da Chen
- Department of Respiratory and Critical Care Medicine, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China
| | - Zhi-Wei Huang
- Department of Otolaryngology, Quanzhou First Hospital Affiliated to Fujian Medical University, Quanzhou, China
| | - Yu-Zhen Huang
- Department of Pathology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China
| | - Jie-Feng Huang
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China
| | - Zhong-Ping Zhang
- Department of Pathology, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China
| | - Xue-Jun Lin
- Department of Laboratory Medicine, Zhangzhou Affiliated Hospital of Fujian Medical University, Zhangzhou, China
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