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Buijink MR, van Weeghel M, Harms A, Murli DS, Meijer JH, Hankemeier T, Michel S, Kervezee L. Loss of temporal coherence in the circadian metabolome across multiple tissues during ageing in mice. Eur J Neurosci 2024; 60:3843-3857. [PMID: 38802069 DOI: 10.1111/ejn.16428] [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: 02/12/2024] [Revised: 05/07/2024] [Accepted: 05/14/2024] [Indexed: 05/29/2024]
Abstract
Circadian clock function declines with ageing, which can aggravate ageing-related diseases such as type 2 diabetes and neurodegenerative disorders. Understanding age-related changes in the circadian system at a systemic level can contribute to the development of strategies to promote healthy ageing. The goal of this study was to investigate the impact of ageing on 24-h rhythms in amine metabolites across four tissues in young (2 months of age) and old (22-25 months of age) mice using a targeted metabolomics approach. Liver, plasma, the suprachiasmatic nucleus (SCN; the location of the central circadian clock in the hypothalamus) and the paraventricular nucleus (PVN; a downstream target of the SCN) were collected from young and old mice every 4 h during a 24-h period (n = 6-7 mice per group). Differential rhythmicity analysis revealed that ageing impacts 24-h rhythms in the amine metabolome in a tissue-specific manner. Most profound changes were observed in the liver, in which rhythmicity was lost in 60% of the metabolites in aged mice. Furthermore, we found strong correlations in metabolite levels between the liver and plasma and between the SCN and the PVN in young mice. These correlations were almost completely abolished in old mice. These results indicate that ageing is accompanied by a severe loss of the circadian coordination between tissues and by disturbed rhythmicity of metabolic processes. The tissue-specific impact of ageing may help to differentiate mechanisms of ageing-related disorders in the brain versus peripheral tissues and thereby contribute to the development of potential therapies for these disorders.
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Affiliation(s)
- M Renate Buijink
- Laboratory for Neurophysiology, Department of Cellular and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Michel van Weeghel
- Laboratory for Neurophysiology, Department of Cellular and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Clinical Chemistry and Pediatrics, Laboratory Genetic Metabolic Diseases, Emma Children's Hospital, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
- Core Facility Metabolomics, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Amy Harms
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Devika S Murli
- Laboratory for Neurophysiology, Department of Cellular and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Johanna H Meijer
- Laboratory for Neurophysiology, Department of Cellular and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Thomas Hankemeier
- Metabolomics and Analytics Centre, Leiden Academic Centre for Drug Research, Leiden University, Leiden, The Netherlands
| | - Stephan Michel
- Laboratory for Neurophysiology, Department of Cellular and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
| | - Laura Kervezee
- Laboratory for Neurophysiology, Department of Cellular and Chemical Biology, Leiden University Medical Center, Leiden, The Netherlands
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2
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Cheng F, Li W, Li J, Ji Z, Hu W, Zhao M, Yu D, Zhang L, Yuan P, Simayijiang H, Yan J. Circadian metabolites for evaluating the timing of bloodstain deposition: A preliminary study. Forensic Sci Int 2024; 361:112102. [PMID: 38889602 DOI: 10.1016/j.forsciint.2024.112102] [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: 02/28/2024] [Revised: 06/06/2024] [Accepted: 06/10/2024] [Indexed: 06/20/2024]
Abstract
Metabolites, as products of cellular metabolism, can provide a wealth of biological information and are less susceptible to degradation than other biomarkers due to their low molecular weight. Due to these properties, metabolites can be used as valuable biomarkers for forensic investigations. Knowing the timing of deposition of bloodstain could help to reconstruct crime scenes, draw conclusions about the time of the crime, and narrow down the circle of possible suspects. Previous studies have indicated that the concentration of some metabolites in blood is subject to circadian changes. However, the circadian metabolites of bloodstains have been still unclear. A total of sixty-four bloodstain samples were prepared under real conditions in three time categories (morning/noon (09:00 h ∼ 17:00 h), afternoon/evening (18:00 h ∼ 23:00 h) and night/early morning (24:00 h ∼ 08:00 h)). Fifty metabolites of bloodstains with significant differences were identified in the three time categories. Twenty-eight of these metabolites exhibited significant circadian changes. Finally, three independently contributing circadian metabolites were selected to build the logistic regression model, with an area under the curve of 0.91, 0.84 and 0.87 for the prediction of bloodstain deposition time in the morning/noon, afternoon/evening and night/early morning, respectively. The study indicated that circadian metabolites can be used for evaluating the timing of bloodstain deposition. This would provide a valuable perspective for analyzing the deposition time of biological traces in forensic investigations.
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Affiliation(s)
- Feng Cheng
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China; Shanxi Key Laboratory of Forensic Medicine, Taiyuan, Shanxi 030001, PR China
| | - Wanting Li
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China; Shanxi Key Laboratory of Forensic Medicine, Taiyuan, Shanxi 030001, PR China
| | - Junli Li
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China; Shanxi Key Laboratory of Forensic Medicine, Taiyuan, Shanxi 030001, PR China
| | - Zhimin Ji
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China; Shanxi Key Laboratory of Forensic Medicine, Taiyuan, Shanxi 030001, PR China
| | - Wenjing Hu
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China; Shanxi Key Laboratory of Forensic Medicine, Taiyuan, Shanxi 030001, PR China
| | - Mengyang Zhao
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China; Shanxi Key Laboratory of Forensic Medicine, Taiyuan, Shanxi 030001, PR China
| | - Daijing Yu
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China; Shanxi Key Laboratory of Forensic Medicine, Taiyuan, Shanxi 030001, PR China
| | - Liwei Zhang
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China; Shanxi Key Laboratory of Forensic Medicine, Taiyuan, Shanxi 030001, PR China
| | - Piao Yuan
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China; Shanxi Key Laboratory of Forensic Medicine, Taiyuan, Shanxi 030001, PR China
| | - Halimureti Simayijiang
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China; Shanxi Key Laboratory of Forensic Medicine, Taiyuan, Shanxi 030001, PR China.
| | - Jiangwei Yan
- School of Forensic Medicine, Shanxi Medical University, Taiyuan, Shanxi 030001, PR China; Shanxi Key Laboratory of Forensic Medicine, Taiyuan, Shanxi 030001, PR China.
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Shida T, Yoshida Y, Ohta T, Kojima N, Osuka Y, Takekoshi K, Sasai H. Identification of a novel biomarker for sarcopenia diagnosis using serum metabolomic analysis: a pilot study. Eur Geriatr Med 2024; 15:571-577. [PMID: 38214867 DOI: 10.1007/s41999-023-00914-7] [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: 09/15/2023] [Accepted: 12/05/2023] [Indexed: 01/13/2024]
Abstract
PURPOSE This pilot study compared serum metabolites in participants with and without sarcopenia. METHODS Metabolomic techniques were applied to identify serum metabolites and novel biomarkers specific to patients with sarcopenia. In accordance with AWGS2019 criteria, sarcopenia was defined as low muscle mass plus either low muscle strength/low physical function, and severe sarcopenia was defined as low muscle mass, low muscle strength, and low physical function all together. RESULTS The sarcopenia group had higher hypoxanthine, galactose, and mannose levels but lower triethanolamine and homogentisic acid levels than the non-sarcopenia group. The severe sarcopenia group had lower levels of alpha-tocopherol than the mild and moderate sarcopenia groups. CONCLUSION This study is the first to identify hypoxanthine as a potential biomarker for sarcopenia in humans and provides new insights into the pathophysiology of sarcopenia. Furthermore, the identified metabolites may be useful for the early detection of sarcopenia.
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Affiliation(s)
- Takashi Shida
- Research Team for Promoting Independence and Mental Health, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan.
| | - Yasuko Yoshida
- Niigata University of Pharmacy and Medical and Life Sciences Faculty of Medical Technology Department of Medical Technology, Niigata, Japan
| | - Takahisa Ohta
- Research Team for Promoting Independence and Mental Health, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Narumi Kojima
- Research Team for Promoting Independence and Mental Health, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
| | - Yosuke Osuka
- Department of Frailty Research, Center for Gerontology and Social Science, National Center for Geriatrics and Gerontology, Research Institute, Aichi, Japan
| | | | - Hiroyuki Sasai
- Research Team for Promoting Independence and Mental Health, Tokyo Metropolitan Institute for Geriatrics and Gerontology, Tokyo, Japan
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4
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Eto T, Kitamura S, Shikano A, Tanabe K, Higuchi S, Noi S. Estimating dim light melatonin onset time in children using delta changes in melatonin. Sleep Biol Rhythms 2024; 22:239-246. [PMID: 38524157 PMCID: PMC10959870 DOI: 10.1007/s41105-023-00493-x] [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: 05/28/2023] [Accepted: 09/19/2023] [Indexed: 03/26/2024]
Abstract
We aimed to establish a method for estimating dim light melatonin onset (DLMO) using mathematical slopes calculated from melatonin concentrations at three sampling points before and after sleep in children. The saliva of 30 children (mean age ± SD: 10.2 ± 1.3 years old) was collected under dim-light conditions up to six times every hour starting at 17:30 (t17), namely, 18:30 (t18), 19:30 (t19), 20:30 (t20), 21:30 (t21), 22:30 (t22), and 23:30 (t23), in the evening, and at 6:00 (t30) the following morning. We calculated SLOPE on (mathematical slope between melatonin concentrations at t18 and t20, t21 or t22), SLOPE off (the slope between t20, t21 or t22, and t30), and Δ S L O P E , which is generated by subtracting SLOPE on from SLOPE off . DLMO was estimated by multiple regression analysis with the leave-one-out cross-validation (LOOCV) method using SLOPE on and SLOPE off , and Δ S L O P E . The intraclass correlation coefficient (ICC) between the estimated and measured DLMOs was used as the index of estimation accuracy. DLMOs estimated using multiple regression equations with SLOPE on and SLOPE off yielded significant ICCs for the measured DLMOs, with the largest ICC at t20 (ICC = 0.634). Additionally, the ICC between the estimated and measured DLMOs using the equation with Δ S L O P E was significant, with a larger ICC at t20 (ICC = 0.726) than that of the equation with SLOPE on and SLOPE off . Our results showed that DLMO could be estimated with a certain level of accuracy from salivary melatonin levels at three time points before and after sleep in children. Supplementary Information The online version contains supplementary material available at 10.1007/s41105-023-00493-x.
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Affiliation(s)
- Taisuke Eto
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo 187-8553 Japan
- Department of Human Life Design and Science, Faculty of Design, Kyushu University, 4-9-1 Shiobaru, Minami-Ku, Fukuoka, 815-8540 Japan
- Research Fellow of the Japan Society for the Promotion of Science, Kodaira, Japan
| | - Shingo Kitamura
- Department of Sleep-Wake Disorders, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-Higashi, Kodaira, Tokyo 187-8553 Japan
| | - Akiko Shikano
- Research Institute for Children’s Physical Health, Nippon Sport Science University, 7-1-1 Fukasawa, Setagaya-Ku, Tokyo 158-8508 Japan
| | - Kosuke Tanabe
- Department of Business Administration, Faculty of Humanities and Social Sciences, Teikyo Heisei University, 4-21-2 Nakano, Nakano-Ku, Tokyo 164-8530 Japan
| | - Shigekazu Higuchi
- Department of Human Life Design and Science, Faculty of Design, Kyushu University, 4-9-1 Shiobaru, Minami-Ku, Fukuoka, 815-8540 Japan
| | - Shingo Noi
- Research Institute for Children’s Physical Health, Nippon Sport Science University, 7-1-1 Fukasawa, Setagaya-Ku, Tokyo 158-8508 Japan
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Cajka T, Hricko J, Rakusanova S, Brejchova K, Novakova M, Rudl Kulhava L, Hola V, Paucova M, Fiehn O, Kuda O. Hydrophilic Interaction Liquid Chromatography-Hydrogen/Deuterium Exchange-Mass Spectrometry (HILIC-HDX-MS) for Untargeted Metabolomics. Int J Mol Sci 2024; 25:2899. [PMID: 38474147 DOI: 10.3390/ijms25052899] [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: 01/15/2024] [Revised: 02/17/2024] [Accepted: 02/26/2024] [Indexed: 03/14/2024] Open
Abstract
Liquid chromatography with mass spectrometry (LC-MS)-based metabolomics detects thousands of molecular features (retention time-m/z pairs) in biological samples per analysis, yet the metabolite annotation rate remains low, with 90% of signals classified as unknowns. To enhance the metabolite annotation rates, researchers employ tandem mass spectral libraries and challenging in silico fragmentation software. Hydrogen/deuterium exchange mass spectrometry (HDX-MS) may offer an additional layer of structural information in untargeted metabolomics, especially for identifying specific unidentified metabolites that are revealed to be statistically significant. Here, we investigate the potential of hydrophilic interaction liquid chromatography (HILIC)-HDX-MS in untargeted metabolomics. Specifically, we evaluate the effectiveness of two approaches using hypothetical targets: the post-column addition of deuterium oxide (D2O) and the on-column HILIC-HDX-MS method. To illustrate the practical application of HILIC-HDX-MS, we apply this methodology using the in silico fragmentation software MS-FINDER to an unknown compound detected in various biological samples, including plasma, serum, tissues, and feces during HILIC-MS profiling, subsequently identified as N1-acetylspermidine.
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Affiliation(s)
- Tomas Cajka
- Institute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic
| | - Jiri Hricko
- Institute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic
| | - Stanislava Rakusanova
- Institute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic
| | - Kristyna Brejchova
- Institute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic
| | - Michaela Novakova
- Institute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic
| | - Lucie Rudl Kulhava
- Institute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic
| | - Veronika Hola
- Institute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic
| | - Michaela Paucova
- Institute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California, Davis, 451 Health Sciences Drive, Davis, CA 95616, USA
| | - Ondrej Kuda
- Institute of Physiology of the Czech Academy of Sciences, Videnska 1083, 14200 Prague, Czech Republic
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6
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Ohdo S, Koyanagi S, Matsunaga N. Implications of biological clocks in pharmacology and pharmacokinetics of antitumor drugs. J Control Release 2023; 364:490-507. [PMID: 37918485 DOI: 10.1016/j.jconrel.2023.10.049] [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: 03/01/2022] [Revised: 10/22/2023] [Accepted: 10/30/2023] [Indexed: 11/04/2023]
Abstract
Mammalians' circadian pacemaker resides in the paired suprachiasmatic nuclei (SCN). SCN control biological rhythms such as the sleep-wake rhythm and homeostatic functions of steroid hormones and their receptors. Alterations in these biological rhythms are implicated in the outcomes of pathogenic conditions such as depression, diabetes, and cancer. Chronotherapy is about optimizing treatment to combat risks and intensity of the disease symptoms that vary depending on the time of day. Thus, conditions/diseases such as allergic rhinitis, arthritis, asthma, myocardial infarction, congestive heart failure, stroke, and peptic ulcer disease, prone to manifest severe symptoms depending on the time of day, would be benefited from chronotherapy. Monitoring rhythm, overcoming rhythm disruption, and manipulating the rhythms from the viewpoints of underlying molecular clocks are essential to enhanced chronopharmacotherapy. New drugs focused on molecular clocks are being developed to improve therapeutics. In this review, we provide a critical summary of literature reports concerning (a) the rationale/mechanisms for time-dependent dosing differences in therapeutic outcomes and safety of antitumor drugs, (b) the molecular pathways underlying biological rhythms, and (c) the possibility of pharmacotherapy based on the intra- and inter-individual variabilities from the viewpoints of the clock genes.
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Affiliation(s)
- Shigehiro Ohdo
- Department of Pharmaceutics, Graduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-Ku, Fukuoka 812-8582, Japan.
| | - Satoru Koyanagi
- Department of Pharmaceutics, Graduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-Ku, Fukuoka 812-8582, Japan
| | - Naoya Matsunaga
- Department of Pharmaceutics, Graduate School of Pharmaceutical Sciences, Kyushu University, 3-1-1, Maidashi, Higashi-Ku, Fukuoka 812-8582, Japan
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7
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Witt RM, Byars KC, Decker K, Dye TJ, Riley JM, Simmons D, Smith DF. Current Considerations in the Diagnosis and Treatment of Circadian Rhythm Sleep-Wake Disorders in Children. Semin Pediatr Neurol 2023; 48:101091. [PMID: 38065634 PMCID: PMC10710539 DOI: 10.1016/j.spen.2023.101091] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2023] [Accepted: 09/29/2023] [Indexed: 12/18/2023]
Abstract
Circadian Rhythm Sleep-Wake Disorders (CRSWDs) are important sleep disorders whose unifying feature is a mismatch between the preferred or required times for sleep and wakefulness and the endogenous circadian drives for these. Their etiology, presentation, and treatment can be different in pediatric patients as compared to adults. Evaluation of these disorders must be performed while viewed through the lens of a patient's comorbid conditions. Newer methods of assessment promise to provide greater diagnostic clarity and critical insights into how circadian physiology affects overall health and disease states. Effective clinical management of CRSWDs is multimodal, requiring an integrated approach across disciplines. Therapeutic success depends upon appropriately timed nonpharmacologic and pharmacologic interventions. A better understanding of the genetic predispositions for and causes of CRSWDs has led to novel clinical opportunities for diagnosis and improved therapeutics.
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Affiliation(s)
- Rochelle M Witt
- Division of Child Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Kelly C Byars
- Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Kristina Decker
- Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Thomas J Dye
- Division of Child Neurology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH
| | - Jessica M Riley
- Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - Danielle Simmons
- Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH; Division of Behavioral Medicine and Clinical Psychology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH
| | - David F Smith
- Division of Pulmonary Medicine and the Sleep Center, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Center for Circadian Medicine, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Division of Pediatric Otolaryngology-Head and Neck Surgery, Cincinnati Children's Hospital Medical Center, Cincinnati, OH; Department of Otolaryngology- Head and Neck Surgery, University of Cincinnati College of Medicine, Cincinnati, OH.
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8
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Rathor P, Ch R. Metabolic Basis of Circadian Dysfunction in Parkinson's Disease. BIOLOGY 2023; 12:1294. [PMID: 37887004 PMCID: PMC10604297 DOI: 10.3390/biology12101294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/30/2023] [Revised: 09/26/2023] [Accepted: 09/26/2023] [Indexed: 10/28/2023]
Abstract
Parkinson's disease (PD) is one of the most common neurodegenerative disorders. The management of PD is a challenging aspect for general physicians and neurologists. It is characterized by the progressive loss of dopaminergic neurons. Impaired α-synuclein secretion and dopamine release may cause mitochondrial dysfunction and perturb energy metabolism, subsequently altering the activity and survival of dopaminergic neurons, thus perpetuating the neurodegenerative process in PD. While the etiology of PD remains multifactorial, emerging research indicates a crucial role of circadian dysfunction in its pathogenesis. Researchers have revealed that circadian dysfunction and sleep disorders are common among PD subjects and disruption of circadian rhythms can increase the risk of PD. Hence, understanding the findings of circadian biology from translational research in PD is important for reducing the risk of neurodegeneration and for improving the quality of life. In this review, we discuss the intricate relationship between circadian dysfunction in cellular metabolism and PD by summarizing the evidence from animal models and human studies. Understanding the metabolic basis of circadian dysfunction in PD may shed light on novel therapeutic approaches to restore circadian rhythm, preserve dopaminergic function, and ameliorate disease progression. Further investigation into the complex interplay between circadian rhythm and PD pathogenesis is essential for the development of targeted therapies and interventions to alleviate the burden of this debilitating neurodegenerative disorder.
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Affiliation(s)
- Priya Rathor
- Metabolomics Lab, CSIR—Central Institute of Medicinal & Aromatic Plants, Lucknow 226015, India;
- Academy of Council of Scientific and Industrial Research (ACSIR), Gaziabad 201002, India
| | - Ratnasekhar Ch
- Metabolomics Lab, CSIR—Central Institute of Medicinal & Aromatic Plants, Lucknow 226015, India;
- Academy of Council of Scientific and Industrial Research (ACSIR), Gaziabad 201002, India
- School of Biological Sciences, Queen’s University Belfast, Belfast BT9 5DL, UK
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9
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Kim S, Caporaso NE, Gu F, Klerman EB, Albert PS. Uncovering circadian rhythms in metabolic longitudinal data: A Bayesian latent class modeling approach. Stat Med 2023; 42:3302-3315. [PMID: 37232457 PMCID: PMC10629474 DOI: 10.1002/sim.9806] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 05/01/2023] [Accepted: 05/10/2023] [Indexed: 05/27/2023]
Abstract
Researchers in biology and medicine have increasingly focused on characterizing circadian rhythms and their potential impact on disease. Understanding circadian variation in metabolomics, the study of chemical processes involving metabolites may provide insight into important aspects of biological mechanism. Of scientific importance is developing a statistical rigorous approach for characterizing different types of 24-hour patterns among high dimensional longitudinal metabolites. We develop a latent class approach to incorporate variation in 24-hour patterns across metabolites where profiles are modeled with finite mixtures of distinct shape-invariant circadian curves that themselves incorporate variation in amplitude and phase across metabolites. An efficient Markov chain Monte Carlo sampling is used to carry out Bayesian posterior computation. When the model was fit separately by individual to the data from a small group of participants, two distinct 24-hour rhythms were identified, with one being sinusoidal and the other being more complex with multiple peaks. Interestingly, the latent pattern associated with circadian variation (simple sinusoidal curve) had a similar phase across the three participants, while the more complex latent pattern reflecting diurnal variation differed across individual. The results suggested that this modeling framework can be used to separate 24-hour rhythms into an endogenous circadian and one or more exogenous diurnal patterns in describing human metabolism.
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Affiliation(s)
- Sungduk Kim
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Neil E. Caporaso
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
| | - Fangyi Gu
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York, USA
| | | | - Paul S. Albert
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, Maryland, USA
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Edelbo BL, Andreassen SN, Steffensen AB, MacAulay N. Day-night fluctuations in choroid plexus transcriptomics and cerebrospinal fluid metabolomics. PNAS NEXUS 2023; 2:pgad262. [PMID: 37614671 PMCID: PMC10443925 DOI: 10.1093/pnasnexus/pgad262] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 04/13/2023] [Revised: 07/06/2023] [Accepted: 07/31/2023] [Indexed: 08/25/2023]
Abstract
The cerebrospinal fluid (CSF) provides mechanical protection for the brain and serves as a brain dispersion route for nutrients, hormones, and metabolic waste. The CSF secretion rate is elevated in the dark phase in both humans and rats, which could support the CSF flow along the paravascular spaces that may be implicated in waste clearance. The similar diurnal CSF dynamics pattern observed in the day-active human and the nocturnal rat suggests a circadian regulation of this physiological variable, rather than sleep itself. To obtain a catalog of potential molecular drivers that could provide the day-night-associated modulation of the CSF secretion rate, we determined the diurnal fluctuation in the rat choroid plexus transcriptomic profile with RNA-seq and in the CSF metabolomics with ultraperformance liquid chromatography combined with mass spectrometry. We detected significant fluctuation of 19 CSF metabolites and differential expression of 2,778 choroid plexus genes between the light and the dark phase, the latter of which encompassed circadian rhythm-related genes and several choroid plexus transport mechanisms. The fluctuating components were organized with joint pathway analysis, of which several pathways demonstrated diurnal regulation. Our results illustrate substantial transcriptional and metabolic light-dark phase-mediated changes taking place in the rat choroid plexus and its encircling CSF. The combined data provide directions toward future identification of the molecular pathways governing the fluctuation of this physiological process and could potentially be harnessed to modulate the CSF dynamics in pathology.
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Affiliation(s)
| | | | | | - Nanna MacAulay
- Department of Neuroscience, University of Copenhagen, 2200 Copenhagen, Denmark
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Gomes S, Ramalhete C, Ferreira I, Bicho M, Valente A. Sleep Patterns, Eating Behavior and the Risk of Noncommunicable Diseases. Nutrients 2023; 15:nu15112462. [PMID: 37299426 DOI: 10.3390/nu15112462] [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: 04/30/2023] [Revised: 05/22/2023] [Accepted: 05/22/2023] [Indexed: 06/12/2023] Open
Abstract
Sleep is extremely important for the homeostasis of the organism. In recent years, various studies have been carried out to address factors related to sleep patterns and their influence on food choices, as well as on the onset of chronic noncommunicable diseases. The aim of this article is to provide a scientific literature review on the possible role of sleep patterns on eating behavior and the risk of noncommunicable diseases. A search was performed on Medline (PubMed interface) using several keywords (e.g., "Factors Influencing Sleep" OR "Sleep and Chronic Diseases"). Articles published between 2000 and the present date that relate sleep to cyclic metabolic processes and changes in eating behavior were selected. Changes in sleep patterns are increasingly detected today, and these modifications are mainly caused by work and lifestyle conditions as well as a growing dependence on electronic devices. Sleep deprivation and the resultant short sleep duration lead to an increased appetite via an increase in the hunger hormone (ghrelin) and a decrease in the satiety hormone (leptin). Nowadays, sleep is undervalued, and thus often impaired, with consequences for the performance of various body systems. Sleep deprivation alters physiological homeostasis and influences eating behavior as well as the onset of chronic diseases.
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Affiliation(s)
- Sofia Gomes
- ATLÂNTICA-University Institute, 2730-036 Barcarena, Portugal
| | - Cátia Ramalhete
- ATLÂNTICA-University Institute, 2730-036 Barcarena, Portugal
- Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Av. Prof. Gama Pinto, 1649-003 Lisbon, Portugal
| | - Isabel Ferreira
- ATLÂNTICA-University Institute, 2730-036 Barcarena, Portugal
- Ecogenetics and Human Health Research Group, Environmental Health Institute (ISAMB), Associate Laboratory TERRA, Faculty of Medicine (FMUL), University of Lisbon, 1649-028 Lisbon, Portugal
| | - Manuel Bicho
- Ecogenetics and Human Health Research Group, Environmental Health Institute (ISAMB), Associate Laboratory TERRA, Faculty of Medicine (FMUL), University of Lisbon, 1649-028 Lisbon, Portugal
- Instituto de Investigação Científica Bento da Rocha Cabral, Calçada Bento da Rocha Cabral 14, 1250-012 Lisbon, Portugal
| | - Ana Valente
- ATLÂNTICA-University Institute, 2730-036 Barcarena, Portugal
- Ecogenetics and Human Health Research Group, Environmental Health Institute (ISAMB), Associate Laboratory TERRA, Faculty of Medicine (FMUL), University of Lisbon, 1649-028 Lisbon, Portugal
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12
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Chauhan S, Norbury R, Faßbender KC, Ettinger U, Kumari V. Beyond sleep: A multidimensional model of chronotype. Neurosci Biobehav Rev 2023; 148:105114. [PMID: 36868368 DOI: 10.1016/j.neubiorev.2023.105114] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/09/2023] [Accepted: 02/27/2023] [Indexed: 03/05/2023]
Abstract
Chronotype can be defined as an expression or proxy for circadian rhythms of varied mechanisms, for example in body temperature, cortisol secretion, cognitive functions, eating and sleeping patterns. It is influenced by a range of internal (e.g., genetics) and external factors (e.g., light exposure), and has implications for health and well-being. Here, we present a critical review and synthesis of existing models of chronotype. Our observations reveal that most existing models and, as a consequence, associated measures of chronotype have focused solely or primarily on the sleep dimension, and typically have not incorporated social and environmental influences on chronotype. We propose a multidimensional model of chronotype, integrating individual (biological and psychological), environmental and social factors that appear to interact to determine an individual's true chronotype with potential feedback loops between these factors. This model could be beneficial not only from a basic science perspective but also in the context of understanding health and clinical implications of certain chronotypes as well as designing preventive and therapeutic approaches for related illnesses.
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Affiliation(s)
- Satyam Chauhan
- Department of Psychology, College of Health, Medicine and Life Sciences, Brunel University London, London, United Kingdom; Centre for Cognitive and Clinical Neuroscience, College of Health, Medicine and Life Sciences, Brunel University London, London, United Kingdom.
| | - Ray Norbury
- Department of Psychology, College of Health, Medicine and Life Sciences, Brunel University London, London, United Kingdom; Centre for Cognitive and Clinical Neuroscience, College of Health, Medicine and Life Sciences, Brunel University London, London, United Kingdom
| | | | | | - Veena Kumari
- Department of Psychology, College of Health, Medicine and Life Sciences, Brunel University London, London, United Kingdom; Centre for Cognitive and Clinical Neuroscience, College of Health, Medicine and Life Sciences, Brunel University London, London, United Kingdom.
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13
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Xia Y, Ding X, Wang S, Ren W. Circadian orchestration of host and gut microbiota in infection. Biol Rev Camb Philos Soc 2023; 98:115-131. [PMID: 36106627 DOI: 10.1111/brv.12898] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/22/2022] [Revised: 08/15/2022] [Accepted: 08/16/2022] [Indexed: 01/12/2023]
Abstract
Circadian rhythms are present in almost every organism and regulate multiple aspects of biological and physiological processes (e.g. metabolism, immune responses, and microbial exposure). There exists a bidirectional circadian interaction between the host and its gut microbiota, and potential circadian orchestration of both host and gut microbiota in response to invading pathogens. In this review, we summarize what is known about these intestinal microbial oscillations and the relationships between host circadian clocks and various infectious agents (bacteria, fungi, parasites, and viruses), and discuss how host circadian clocks prime the immune system to fight pathogen infections as well as the direct effects of circadian clocks on viral activity (e.g. SARS-CoV-2 entry and replication). Finally, we consider strategies employed to realign normal circadian rhythmicity for host health, such as chronotherapy, dietary intervention, good sleep hygiene, and gut microbiota-targeted therapy. We propose that targeting circadian rhythmicity may provide therapeutic opportunities for the treatment of infectious diseases.
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Affiliation(s)
- Yaoyao Xia
- Key Laboratory of Veterinary Pharmaceutical Development of Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Science, Lanzhou, 730050, China.,State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Animal Nutrition Control, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
| | - Xuezhi Ding
- Key Laboratory of Veterinary Pharmaceutical Development of Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Science, Lanzhou, 730050, China
| | - Shengyi Wang
- Key Laboratory of Veterinary Pharmaceutical Development of Ministry of Agriculture and Rural Affairs, Lanzhou Institute of Husbandry and Pharmaceutical Sciences of Chinese Academy of Agricultural Science, Lanzhou, 730050, China
| | - Wenkai Ren
- State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, Guangdong Laboratory of Lingnan Modern Agriculture, National Engineering Research Center for Breeding Swine Industry, Guangdong Provincial Key Laboratory of Animal Nutrition Control, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China
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14
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Sugimoto M, Aizawa Y. Metabolomics Analysis of Blood, Urine, and Saliva Samples Based on Capillary Electrophoresis-Mass Spectrometry. Methods Mol Biol 2023; 2571:83-94. [PMID: 36152152 DOI: 10.1007/978-1-0716-2699-3_8] [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] [Indexed: 06/16/2023]
Abstract
Capillary electrophoresis-mass spectrometry (CE-MS) is an ideal method for analyzing various metabolites in biological samples. CE-MS can simultaneously identify and quantify hundreds of charged metabolites using only two acquisition methods for positively and negatively charged metabolites. Furthermore, CE-MS is commonly used for analyzing biological samples to understand the pathology of diseases at the metabolic level and biofluid samples, such as blood and urine, to explore biomarkers. Here, we introduce a protocol that delineates the handling of clinical samples to ensure that the CE-MS analysis yields reproducible quantified data. We have focused on sample collection, storage, processing, and measurement. Although the implementation of rigorous standard operating protocols is preferred for enhancing the quality of the samples, various limitations in an actual clinical setting make it difficult to adhere to strict rules. Therefore, the effect of each process on the quantified metabolites needs to be evaluated to design a protocol with acceptable tolerances. Furthermore, quality controls and assessments to handle clinical samples are introduced.
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Affiliation(s)
- Masahiro Sugimoto
- Institute of Medical Science, Tokyo Medical University, Tokyo, Japan.
- Institute for Advanced Biosciences, Keio University, Tsuruoka, Yamagata, Japan.
| | - Yumi Aizawa
- Institute of Medical Science, Tokyo Medical University, Tokyo, Japan
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15
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Trumpff C, Rausser S, Haahr R, Karan KR, Gouspillou G, Puterman E, Kirschbaum C, Picard M. Dynamic behavior of cell-free mitochondrial DNA in human saliva. Psychoneuroendocrinology 2022; 143:105852. [PMID: 35834882 PMCID: PMC9880596 DOI: 10.1016/j.psyneuen.2022.105852] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/28/2021] [Revised: 05/20/2022] [Accepted: 06/23/2022] [Indexed: 01/31/2023]
Abstract
Mitochondria contain their own genome that can be released in multiple biofluids such as blood and cerebrospinal fluid, as cell-free mitochondrial DNA (cf-mtDNA). In clinical studies, blood cf-mtDNA predicts mortality and higher cf-mtDNA levels are associated with mental and physical stress. However, the dynamics of cf-mtDNA has not been defined, and whether it can be measured non-invasively like other neuroendocrine markers in saliva has not been examined. Here we report cf-mtDNA in human saliva and establish its natural within-person dynamic behavior across multiple weeks. In a small proof-of-principle cohort of healthy adults, we first develop an approach to rapidly quantify salivary cf-mtDNA without DNA isolation, and demonstrate the existence of salivary cf-mtDNA. We then deploy this approach to perform an intensive repeated-measures analysis of two healthy men studied at 4 daily timepoints over 53-60 consecutive days (n = 212-220 observations each) with parallel measures of steroid hormones, self-reported daily mood, and health-related behaviors. Salivary cf-mtDNA exhibited a robust awakening response reaching up to two orders of magnitude 30-45 min after awakening, varied from day-to-day, and moderately correlated with the cortisol awakening response. In exploratory analyses, no consistent association with self-reported daily mood/health-related behaviors were found, although this requires further examination in future studies. Dynamic variation in cf-mtDNA was inversely related with salivary interleukin 6 (IL-6), inconsistent with a pro-inflammatory effect of salivary cf-mtDNA. The highly dynamic behavior of salivary cf-mtDNA opens the door to non-invasive studies examining the relevance of mtDNA signaling in relation to human health.
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Affiliation(s)
- Caroline Trumpff
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Shannon Rausser
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Rachel Haahr
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Kalpita R. Karan
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA
| | - Gilles Gouspillou
- Département des Sciences de l’Activité Physique, Faculté des Sciences, Université du Québec à Montréal (UQAM), Montreal, Québec, Canada
| | - Eli Puterman
- School of Kinesiology, University of British Columbia, Vancouver, Canada
| | | | - Martin Picard
- Department of Psychiatry, Division of Behavioral Medicine, Columbia University Irving Medical Center, New York, USA; Department of Neurology, H. Houston Merritt Center, Columbia University Translational Neuroscience Initiative, Columbia University Irving Medical Center, New York, USA; New York State Psychiatric Institute, New York, USA.
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16
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The Diurnal Blood Metabolome and Effects of Vitamin D Supplementation: A Randomised Crossover Trial in Postmenopausal Women. Int J Mol Sci 2022; 23:ijms23179748. [PMID: 36077145 PMCID: PMC9456020 DOI: 10.3390/ijms23179748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 11/16/2022] Open
Abstract
A way to maintain an adequate vitamin D status is through supplementation. Demonstration of blood-metabolome rhythmicity of vitamin D3 post-dosing effects is lacking in the pharmaco-metabonomics area. Thus, the overall aim of this study was to investigate the diurnal changes in the blood metabolome and how these are affected by vitamin D3 supplementation. The study was conducted as a crossover study, and the treatment included 200 µg (8000 IU) of vitamin D3 as compared with placebo with a washout period of at least 10 days. The participants were postmenopausal women aged 60−80 years (N = 29) with vitamin D insufficiency (serum 25-hydroxyvitamin D < 50 nmol/L) but otherwise healthy. During the intervention day, blood samples were taken at 0 h, 2 h, 4 h, 6 h, 8 h, 10 h, 12 h, and 24 h, and plasma was analysed by proton nuclear magnetic resonance (NMR) spectroscopy as a metabolomics approach. In general, diurnal effects were identified for the majority of the 20 quantified metabolites, and hierarchical cluster analysis revealed a change in the overall plasma metabolome around 12 AM (6 h after intervention), suggesting that the diurnal rhythm is reflected in two diurnal plasma metabolomes; a morning metabolome (8−12 AM) and an afternoon/evening metabolome (2−8 PM). Overall, the effect of vitamin D supplementation on the blood metabolome was minor, with no effect on the diurnal rhythm. However, a significant effect of the vitamin D supplementation on plasma acetone levels was identified. Collectively, our findings reveal an influence of diurnal rhythm on the plasma metabolome, while vitamin D supplementation appears to have minor influence on fluctuations in the plasma metabolome.
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17
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Wang S, Lin X, Guan Y, Huang J. Bibliometric and visual analysis of time-restricted eating. Front Nutr 2022; 9:979702. [PMID: 36017220 PMCID: PMC9395940 DOI: 10.3389/fnut.2022.979702] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2022] [Accepted: 07/25/2022] [Indexed: 11/26/2022] Open
Abstract
An increasing number of studies have shown the effects of time-restricted eating (TRE) on metabolic diseases and cardiovascular diseases associated with obesity. However, no bibliometric analyses were conducted in this field systematically. In our study, we aimed to visualize the publications about TRE to determine the frontiers and hotspots and then provide references and guidance for further studies. Publications about TRE were exported from the Web of Science Core Collection (WOSCC) database. VOSviewer 1.6.16 was adopted to perform the bibliometric analysis. In our study, a total of 414 publications with 298 articles and 116 reviews were included. The publications in this field showed an upward trend from 2016. A total of 2016 authors contributed to this field. The most productive authors were Satchidananda Panda, Krista A Varady and Emily NC Manoogian. All publications were distributed from about 624 organizations from 49 Countries/Regions. The leading institutions were the Salk Institute for Biological Studies, the University of California San Diego and the University of Alabama at Birmingham, and the most productive countries were the United States, the People’s Republic of China and Japan. All publications were from 182 journals, and the most productive journals were Nutrients, Frontiers in Nutrition and Cell Metabolism. The first highest cited reference with 991 citations was published in Cell Metabolism, and authored by Satchidananda Panda et al. There were four indicating research directions, and the keywords of the green cluster were time-restricted feeding, metabolism, circadian clock, and circadian rhythm. The keywords of the blue cluster were obesity, health, diet, and food intake. The keywords of the red cluster were intermittent fasting, weight loss, caloric restriction, and time-restricted eating. The keywords of the yellow cluster were insulin resistance, metabolic disease, cardiovascular disease, and caloric intake. The main research hotspots in the TRE field were TRE and circadian rhythm, TRE and obesity, TRE and metabolic disease, and TRE and cardiovascular disease. TRE represents new directions to evaluate the effects of the timing of eating on different diseases, especially obesity, Type 2 diabetes mellitus and cardiovascular disease. Previous studies have generated impressive data on the effects of TRE on metabolic diseases and cardiovascular diseases associated with obesity. More high-quality studies are needed to assess the mechanism and efficacy of TRE in a wide range of populations and diseases.
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Affiliation(s)
- Shuai Wang
- Department of Translation Medicine Center, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Xiaoxiao Lin
- The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Yihong Guan
- The Fourth School of Clinical Medicine, Zhejiang Chinese Medical University, Hangzhou, China
| | - Jinyu Huang
- Department of Cardiology, Affiliated Hangzhou First People's Hospital, Zhejiang University School of Medicine, Hangzhou, China
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18
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Ohdo S, Koyanagi S, Matsunaga N. Chronopharmacology of immune-related diseases. Allergol Int 2022; 71:437-447. [PMID: 35850747 DOI: 10.1016/j.alit.2022.06.006] [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: 05/22/2022] [Revised: 06/07/2022] [Accepted: 06/15/2022] [Indexed: 11/01/2022] Open
Abstract
Clock genes, circadian pacemaker resides in the paired suprachiasmatic nuclei (SCN), control various circadian rhythms in many biological processes such as physiology and behavior. Clock gene regulates many diseases such as cancer, immunological dysfunction, metabolic syndrome and sleep disorders etc. Chronotherapy is especially relevant, when the risk and/or intensity of the symptoms of disease vary predicably over time as exemplified by allergic rhinitis, arthritis, asthma, myocardial infarction, congestive heart failure, stroke, and peptic ulcer disease. Dosing time influences the effectiveness and toxicity of many drugs. The pharmacodynamics of medications as well as pharmacokinetics influences chronopharmacological phenomena. To escape from host immunity in the tumor microenvironment, cancer cells have acquired several pathways. Immune checkpoint therapy targeting programmed death 1 (PD-1) and its ligand (PD-L1) interaction had been approved for the treatment of patients with several types of cancers. Circadian expression of PD-1 is identified on tumor associated macrophages (TAMs), which is rationale for selecting the most appropriate time of day for administration of PD-1/PD-L1 inhibitors. The therapies for chronic kidney disease (CKD) are urgently needed because of a global health problem. The mechanism of the cardiac complications in mice with CKD had been related the GRP68 in circulating monocytes and serum accumulation of retinol. Development of a strategy to suppress retinol accumulation will be useful to prevent the cardiac complications of CKD. Therefore, we introduce an overview of the dosing time-dependent changes in therapeutic outcome and safety of drug for immune-related diseases.
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Affiliation(s)
- Shigehiro Ohdo
- Department of Pharmaceutics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
| | - Satoru Koyanagi
- Department of Glocal Healthcare, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan
| | - Naoya Matsunaga
- Department of Clinical Pharmacokinetics, Graduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan
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19
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Güldür T. Potential linkages between circadian rhythm and membrane lipids: timekeeper and bilayer. BIOL RHYTHM RES 2022. [DOI: 10.1080/09291016.2022.2096756] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/02/2022]
Affiliation(s)
- Tayfun Güldür
- Medical Biochemistry Department, Faculty of Medicine, Inönü University, Malatya, Turkey
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20
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Computational method for untargeted determination of cycling yeast metabolites using comprehensive two-dimensional gas chromatography time-of-flight mass spectrometry. Talanta 2022; 244:123396. [DOI: 10.1016/j.talanta.2022.123396] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2022] [Revised: 03/14/2022] [Accepted: 03/16/2022] [Indexed: 11/23/2022]
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21
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Circadian rhythm of lipid metabolism. Biochem Soc Trans 2022; 50:1191-1204. [PMID: 35604112 DOI: 10.1042/bst20210508] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Revised: 04/29/2022] [Accepted: 05/04/2022] [Indexed: 02/07/2023]
Abstract
Lipids comprise a diverse group of metabolites that are indispensable as energy storage molecules, cellular membrane components and mediators of inter- and intra-cellular signaling processes. Lipid homeostasis plays a crucial role in maintaining metabolic health in mammals including human beings. A growing body of evidence suggests that the circadian clock system ensures temporal orchestration of lipid homeostasis, and that perturbation of such diurnal regulation leads to the development of metabolic disorders comprising obesity and type 2 diabetes. In view of the emerging role of circadian regulation in maintaining lipid homeostasis, in this review, we summarize the current knowledge on lipid metabolic pathways controlled by the mammalian circadian system. Furthermore, we review the emerging connection between the development of human metabolic diseases and changes in lipid metabolites that belong to major classes of lipids. Finally, we highlight the mechanisms underlying circadian organization of lipid metabolic rhythms upon the physiological situation, and the consequences of circadian clock dysfunction for dysregulation of lipid metabolism.
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22
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Kent BA, Rahman SA, St Hilaire MA, Grant LK, Rüger M, Czeisler CA, Lockley SW. Circadian lipid and hepatic protein rhythms shift with a phase response curve different than melatonin. Nat Commun 2022; 13:681. [PMID: 35115537 PMCID: PMC8814172 DOI: 10.1038/s41467-022-28308-6] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2021] [Accepted: 12/20/2021] [Indexed: 01/03/2023] Open
Abstract
While studies suggest that light and feeding patterns can reset circadian rhythms in various metabolites, whether these shifts follow a predictable pattern is unknown. We describe the first phase response curves (PRC) for lipids and hepatic proteins in response to combined light and food stimuli. The timing of plasma rhythms was assessed by constant routine before and after exposure to a combined 6.5-hour blue light exposure and standard meal schedule, which was systematically varied by ~20° between individuals. We find that the rhythms shift according to a PRC, with generally greater shifts for lipids and liver proteins than for melatonin. PRC timing varies relative to the stimulus, with albumin and triglyceride PRCs peaking at a time similar to melatonin whereas the cholesterol and high-density lipoprotein PRCs are offset by ~12 h. These data have important implications for treating circadian misalignment in shiftworkers who consume meals and are exposed to light around the clock. A key property of circadian rhythms is that they can be reset in response to environmental time cues; this response is described by a Phase Response Curve (PRC). Here the authors describe PRCs for resetting circadian rhythms in lipids and hepatic proteins in response to combined light and food exposure.
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Affiliation(s)
- Brianne A Kent
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.,Department of Psychology, Simon Fraser University, Burnaby, BC, Canada
| | - Shadab A Rahman
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Melissa A St Hilaire
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Leilah K Grant
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Melanie Rüger
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA.,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Steven W Lockley
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA. .,Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA.
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23
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Dominoni DM, de Jong M, van Oers K, O'Shaughnessy P, Blackburn GJ, Atema E, Mateman AC, D'Amelio PB, Trost L, Bellingham M, Clark J, Visser ME, Helm B. Integrated molecular and behavioural data reveal deep circadian disruption in response to artificial light at night in male Great tits (Parus major). Sci Rep 2022; 12:1553. [PMID: 35091579 PMCID: PMC8799718 DOI: 10.1038/s41598-022-05059-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2021] [Accepted: 12/29/2021] [Indexed: 11/11/2022] Open
Abstract
Globally increasing levels of artificial light at night (ALAN) are associated with shifting rhythms of behaviour in many wild species. However, it is unclear whether changes in behavioural timing are paralleled by consistent shifts in the molecular clock and its associated physiological pathways. Inconsistent shifts between behavioural and molecular rhythms, and between different tissues and physiological systems, disrupt the circadian system, which coordinates all major body functions. We therefore compared behavioural, transcriptional and metabolomic responses of captive great tits (Parus major) to three ALAN intensities or to dark nights, recording activity and sampling brain, liver, spleen and blood at mid-day and midnight. ALAN advanced wake-up time, and this shift was paralleled by advanced expression of the clock gene BMAL1 in all tissues, suggesting close links between behaviour and clock gene expression across tissues. However, further analysis of gene expression and metabolites revealed that clock shifts were inconsistent across physiological systems. Untargeted metabolomic profiling showed that only 9.7% of the 755 analysed metabolites followed the behavioural shift. This high level of desynchronization indicates that ALAN disrupted the circadian system on a deep, easily overlooked level. Thus, circadian disruption could be a key mediator of health impacts of ALAN on wild animals.
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Affiliation(s)
- Davide M Dominoni
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, University Avenue, Glasgow, G12 8QQ, UK. .,Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands.
| | - Maaike de Jong
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands.,Plant Ecology and Nature Conservation Group, Wageningen University and Research, Wageningen, The Netherlands
| | - Kees van Oers
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
| | - Peter O'Shaughnessy
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, University Avenue, Glasgow, G12 8QQ, UK
| | - Gavin J Blackburn
- Glasgow Polyomics, Wolfson Wohl Cancer Research Centre, College of Medical, Veterinary and Life Sciences, University of Glasgow, Glasgow, G61 1BD, UK
| | - Els Atema
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
| | - A Christa Mateman
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands
| | - Pietro B D'Amelio
- Department of Behavioural Neurobiology, Max Planck Institute for Ornithology, Seewiesen, Germany.,FitzPatrick Institute of African Ornithology, University of Cape Town, Rondebosch, 7701, South Africa.,Centre d'Ecologie Functionnelle et Evolutive, University of Montpellier, CNRS, EPHE, IRD, Univ Paul-Valery Montpellier 3, Montpellier, France
| | - Lisa Trost
- Department of Behavioural Neurobiology, Max Planck Institute for Ornithology, Seewiesen, Germany
| | - Michelle Bellingham
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, University Avenue, Glasgow, G12 8QQ, UK
| | - Jessica Clark
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, University Avenue, Glasgow, G12 8QQ, UK
| | - Marcel E Visser
- Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), Wageningen, The Netherlands.,Groningen Institute of Evolutionary Life Sciences (GELIFES), University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands
| | - Barbara Helm
- Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, University Avenue, Glasgow, G12 8QQ, UK.,Groningen Institute of Evolutionary Life Sciences (GELIFES), University of Groningen, Nijenborgh 7, 9747 AG, Groningen, The Netherlands
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24
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Role of circadian rhythm and impact of circadian rhythm disturbance on the metabolism and disease. J Cardiovasc Pharmacol 2021; 79:254-263. [PMID: 34840256 DOI: 10.1097/fjc.0000000000001178] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Accepted: 10/23/2021] [Indexed: 11/25/2022]
Abstract
ABSTRACT Molecular circadian clocks exist in almost all cells of the organism and operate for approximately 24 h, maintain the normal physiological and behavioral body processes and regulate metabolism of many cells related to a variety of disease states. Circadian rhythms regulate metabolism, mainly including neurotransmitters, hormones, amino acids and lipids. Circadian misalignment is related to metabolic syndromes, such as obesity, diabetes and hypertension, which have reached an alarming level in modern society. We reviewed the mechanism of the circadian clock and the interaction between circadian rhythm and metabolism, as well as circadian rhythm disturbance on the metabolism of hypertension, obesity and diabetes. Finally, we discuss how to use the circadian rhythm to prevent diseases. Thus, this review is a micro to macro discussion from the perspective of circadian rhythm and aims to provide basic ideas for circadian rhythm research and disease therapies.
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25
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Makris KC. Desynchronized circadian clock and exposures to xenobiotics are associated with differentiated disease phenotypes: The interface of desynchronized circadian clock and exposures to xenobiotics would lead to adverse response and recovery. Bioessays 2021; 43:e2100159. [PMID: 34585760 DOI: 10.1002/bies.202100159] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 02/06/2023]
Abstract
A paradigm shift in the human chronotoxicity of xenobiotics would study two-sided desynchronized phenomena of interfacial interactions between cyclic or periodic environmental insults and the endogenous response and recovery profile. These systems-based networks are under the influence of well-synchronized biological clocks and their metabolic regulators. This perspective argues in favor of addressing the concept of synchronization in studies involving critical life windows of susceptibility, or circadian rhythms, or 24-hour (periodic) diurnal rhythms and answering whether these disruptions in synchronization would affect response and recovery or disease phenotypes associated with environmental insults, e.g., xenobiotics. Synchronization or synchrony is defined as the totality of elements that appear during the same time period within a system, including the network of interactions between the system's elements. Desynchronized interfaces during critical life windows or in time-repeated exposure events would likely lead to initiating a cascade of adverse health effects associated with differentiated disease phenotypes.
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Affiliation(s)
- Konstantinos Christos Makris
- Cyprus International Institute for Environmental and Public Health, Cyprus University of Technology, Limassol, Cyprus
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26
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Meikle TG, Huynh K, Giles C, Meikle PJ. Clinical lipidomics: realizing the potential of lipid profiling. J Lipid Res 2021; 62:100127. [PMID: 34582882 PMCID: PMC8528718 DOI: 10.1016/j.jlr.2021.100127] [Citation(s) in RCA: 49] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2021] [Revised: 09/18/2021] [Accepted: 09/21/2021] [Indexed: 11/17/2022] Open
Abstract
Dysregulation of lipid metabolism plays a major role in the etiology and sequelae of inflammatory disorders, cardiometabolic and neurological diseases, and several forms of cancer. Recent advances in lipidomic methodology allow comprehensive lipidomic profiling of clinically relevant biological samples, enabling researchers to associate lipid species and metabolic pathways with disease onset and progression. The resulting data serve not only to advance our fundamental knowledge of the underlying disease process but also to develop risk assessment models to assist in the diagnosis and management of disease. Currently, clinical applications of in-depth lipidomic profiling are largely limited to the use of research-based protocols in the analysis of population or clinical sample sets. However, we foresee the development of purpose-built clinical platforms designed for continuous operation and clinical integration-assisting health care providers with disease risk assessment, diagnosis, and monitoring. Herein, we review the current state of clinical lipidomics, including the use of research-based techniques and platforms in the analysis of clinical samples as well as assays already available to clinicians. With a primary focus on MS-based strategies, we examine instrumentation, analysis techniques, statistical models, prospective design of clinical platforms, and the possible pathways toward implementation of clinical lipidomics.
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Affiliation(s)
- Thomas G Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Kevin Huynh
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, Victoria, Australia
| | - Corey Giles
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, Victoria, Australia
| | - Peter J Meikle
- Metabolomics Laboratory, Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia; Baker Department of Cardiometabolic Health, University of Melbourne, Parkville, Victoria, Australia; Faculty of Medicine, Nursing and Health Sciences, Central Clinical School, Monash University, Melbourne, Victoria, Australia.
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27
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Aviram R, Adamovich Y, Asher G. Circadian Organelles: Rhythms at All Scales. Cells 2021; 10:2447. [PMID: 34572096 PMCID: PMC8469338 DOI: 10.3390/cells10092447] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Revised: 09/14/2021] [Accepted: 09/14/2021] [Indexed: 12/12/2022] Open
Abstract
Circadian clocks have evolved in most light-sensitive organisms, from unicellular organisms to mammals. Consequently, a myriad of biological functions exhibits circadian rhythmicity, from behavior to physiology, through tissue and cellular functions to subcellular processes. Circadian rhythms in intracellular organelles are an emerging and exciting research arena. We summarize herein the current literature for rhythmicity in major intracellular organelles in mammals. These include changes in the morphology, content, and functions of different intracellular organelles. While these data highlight the presence of rhythmicity in these organelles, a gap remains in our knowledge regarding the underlying molecular mechanisms and their functional significance. Finally, we discuss the importance and challenges faced by spatio-temporal studies on these organelles and speculate on the presence of oscillators in organelles and their potential mode of communication. As circadian biology has been and continues to be studied throughout temporal and spatial axes, circadian organelles appear to be the next frontier.
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Affiliation(s)
| | | | - Gad Asher
- Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot 7610001, Israel; (R.A.); (Y.A.)
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28
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Grant LK, St Hilaire MA, Brainard GC, Czeisler CA, Lockley SW, Rahman SA. Endogenous circadian regulation and phase resetting of clinical metabolic biomarkers. J Pineal Res 2021; 71:e12752. [PMID: 34118084 DOI: 10.1111/jpi.12752] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/07/2021] [Revised: 06/09/2021] [Accepted: 06/10/2021] [Indexed: 11/30/2022]
Abstract
Shiftwork and circadian disruption are associated with adverse metabolic effects. Therefore, we examined whether clinical biomarkers of metabolic health are under endogenous circadian regulation using a 40 hours constant routine protocol (CR; constant environmental and behavioral conditions) and evaluated the impact of typical daily conditions with periodic sleep and meals (baseline; 8 hours sleep at night, four meals during a 16 hour wake episode) on the phase and amplitude of these rhythms. Additionally, we tested whether these circadian rhythms are reset during simulated shiftwork. Under CR (n = 16 males, mean age ± SD = 23.4 ± 2.3 years), we found endogenous circadian rhythms in cholesterol, HDL and LDL, albumin and total protein, and VLDL and triglyceride. The rhythms were masked under baseline conditions except for cholesterol, which had near-identical phases under both conditions. Resetting of the cholesterol rhythm and Dim Light Melatonin Onset (DLMO) was then tested in a study of simulated shiftwork (n = 25, 14 females, 36.3 ± 8.9 years) across four protocols; two with abrupt 8 hour delay shifts and exposure to either blue-enriched or standard white light; and either an abrupt or gradual 8 hour advance (1.6 hours/day over 5 days) both with exposure to blue-enriched white light. In the delay protocols, the cholesterol rhythm shifted later by -3.7 hours and -4.2 hours, respectively, compared to -6.6 hours and -4.7 hours, for DLMO. There was a significant advance in cholesterol in the abrupt (+5.1 hours) but not the gradual (+2.1 hours) protocol, compared to +3.1 hours and +2.8 hours in DLMO, respectively. Exploratory group analysis comparing the phases of all metabolic biomarkers under both studies showed evidence of phase shifts due to simulated shiftwork. These results show that clinical biomarkers of metabolic health are under endogenous circadian regulation but that the expression of these rhythms is substantially influenced by environmental factors. These rhythms can also be reset, which has implications for understanding how both behavioral changes and circadian shifts due to shiftwork may disrupt metabolic function.
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Affiliation(s)
- Leilah K Grant
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Melissa A St Hilaire
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - George C Brainard
- Department of Neurology, Thomas Jefferson University, Philadelphia, PA, USA
| | - Charles A Czeisler
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Steven W Lockley
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
| | - Shadab A Rahman
- Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women's Hospital, Boston, MA, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA, USA
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29
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Cogswell D, Bisesi P, Markwald RR, Cruickshank-Quinn C, Quinn K, McHill A, Melanson EL, Reisdorph N, Wright KP, Depner CM. Identification of a Preliminary Plasma Metabolome-based Biomarker for Circadian Phase in Humans. J Biol Rhythms 2021; 36:369-383. [PMID: 34182829 PMCID: PMC9134127 DOI: 10.1177/07487304211025402] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Measuring individual circadian phase is important to diagnose and treat circadian rhythm sleep-wake disorders and circadian misalignment, inform chronotherapy, and advance circadian science. Initial findings using blood transcriptomics to predict the circadian phase marker dim-light melatonin onset (DLMO) show promise. Alternatively, there are limited attempts using metabolomics to predict DLMO and no known omics-based biomarkers predict dim-light melatonin offset (DLMOff). We analyzed the human plasma metabolome during adequate and insufficient sleep to predict DLMO and DLMOff using one blood sample. Sixteen (8 male/8 female) healthy participants aged 22.4 ± 4.8 years (mean ± SD) completed an in-laboratory study with 3 baseline days (9 h sleep opportunity/night), followed by a randomized cross-over protocol with 9-h adequate sleep and 5-h insufficient sleep conditions, each lasting 5 days. Blood was collected hourly during the final 24 h of each condition to independently determine DLMO and DLMOff. Blood samples collected every 4 h were analyzed by untargeted metabolomics and were randomly split into training (68%) and test (32%) sets for biomarker analyses. DLMO and DLMOff biomarker models were developed using partial least squares regression in the training set followed by performance assessments using the test set. At baseline, the DLMOff model showed the highest performance (0.91 R2 and 1.1 ± 1.1 h median absolute error ± interquartile range [MdAE ± IQR]), with significantly (p < 0.01) lower prediction error versus the DLMO model. When all conditions (baseline, 9 h, and 5 h) were included in performance analyses, the DLMO (0.60 R2; 2.2 ± 2.8 h MdAE; 44% of the samples with an error under 2 h) and DLMOff (0.62 R2; 1.8 ± 2.6 h MdAE; 51% of the samples with an error under 2 h) models were not statistically different. These findings show promise for metabolomics-based biomarkers of circadian phase and highlight the need to test biomarkers that predict multiple circadian phase markers under different physiological conditions.
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Affiliation(s)
- D Cogswell
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
| | - P Bisesi
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
| | - R R Markwald
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
| | - C Cruickshank-Quinn
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - K Quinn
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - A McHill
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
- Oregon Institute of Occupational Health Sciences, Oregon Health & Science University, Portland, Oregon
| | - E L Melanson
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado
- Eastern Colorado Veterans Affairs Geriatric Research, Education, and Clinical Center, Denver, Colorado
| | - N Reisdorph
- Department of Pharmaceutical Sciences, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - K P Wright
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
- Division of Endocrinology, Metabolism, and Diabetes, University of Colorado Anschutz Medical Campus, Aurora, Colorado
| | - C M Depner
- Sleep and Chronobiology Laboratory, University of Colorado, Boulder, Boulder, Colorado
- Department of Health and Kinesiology, The University of Utah, Salt Lake City, Utah
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30
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From bedside to bench-practical considerations to avoid pre-analytical pitfalls and assess sample quality for high-resolution metabolomics and lipidomics analyses of body fluids. Anal Bioanal Chem 2021; 413:5567-5585. [PMID: 34159398 PMCID: PMC8410705 DOI: 10.1007/s00216-021-03450-0] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2021] [Revised: 05/24/2021] [Accepted: 05/31/2021] [Indexed: 11/22/2022]
Abstract
The stability of lipids and other metabolites in human body fluids ranges from very stable over several days to very unstable within minutes after sample collection. Since the high-resolution analytics of metabolomics and lipidomics approaches comprise all these compounds, the handling of body fluid samples, and thus the pre-analytical phase, is of utmost importance to obtain valid profiling data. This phase consists of two parts, sample collection in the hospital (“bedside”) and sample processing in the laboratory (“bench”). For sample quality, the apparently simple steps in the hospital are much more critical than the “bench” side handling, where (bio)analytical chemists focus on highly standardized processing for high-resolution analysis under well-controlled conditions. This review discusses the most critical pre-analytical steps for sample quality from patient preparation; collection of body fluids (blood, urine, cerebrospinal fluid) to sample handling, transport, and storage in freezers; and subsequent thawing using current literature, as well as own investigations and practical experiences in the hospital. Furthermore, it provides guidance for (bio)analytical chemists to detect and prevent potential pre-analytical pitfalls at the “bedside,” and how to assess the quality of already collected body fluid samples. A knowledge base is provided allowing one to decide whether or not the sample quality is acceptable for its intended use in distinct profiling approaches and to select the most suitable samples for high-resolution metabolomics and lipidomics investigations.
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31
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Ohdo S. Chrono-Drug Discovery and Development Based on Circadian Rhythm of Molecular, Cellular and Organ Level. Biol Pharm Bull 2021; 44:747-761. [PMID: 34078807 DOI: 10.1248/bpb.b21-00277] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
The paired suprachiasmatic nuclei (SCN) is the circadian pacemaker in mammals. Clock genes ultimately regulates a vast array of circadian rhythms involved in biological, physiological and behavioral process. The clock genes are closely related to sleep disorders, metabolic syndromes, and cancer diseases. Monitoring rhythm, overcoming rhythm disruption, and manipulating rhythm from the perspective of the clock genes play an important role to improve chronopharmacotherapy. Such an approach should be achieved by overcoming the new challenges in drug delivery systems that match the circadian rhythm (Chrono-DDS). Gene and antibody delivery, targeting specific molecules for certain diseases have been focused in recent studies on pharmacotherapy. One of important candidates should also be clock genes. New drugs targeting the molecular clock are being developed to manage diseases in humans. The circadian dynamics of cancer stem cells are controlled by the tumor microenvironment and provide proof for its implication in chronotherapy against triple-negative breast cancer. To examine the relationship between the circadian clock and chronic kidney disease (CKD) exacervation leads to clarify the novel molecular mechanisms causing renal malfunction in mice with CKD. A novel inhibitor of cell cycle regulatory factors has been identified and the inhibitor repressed renal inflammation in a CKD mouse model. Therefore, this review aims to introduce the role of the molecular clock in the time-dependent dosing changes in the therapeutic effect and safety of a drug and the possibility of drug discovery and development based on the molecular clock.
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Affiliation(s)
- Shigehiro Ohdo
- Department of Pharmaceutics, Graduate School of Pharmaceutical Sciences, Kyushu University
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32
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Murray JM, Magee M, Sletten TL, Gordon C, Lovato N, Ambani K, Bartlett DJ, Kennaway DJ, Lack LC, Grunstein RR, Lockley SW, Rajaratnam SMW, Phillips AJK. Light-based methods for predicting circadian phase in delayed sleep-wake phase disorder. Sci Rep 2021; 11:10878. [PMID: 34035333 PMCID: PMC8149449 DOI: 10.1038/s41598-021-89924-8] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Accepted: 04/13/2021] [Indexed: 02/04/2023] Open
Abstract
Methods for predicting circadian phase have been developed for healthy individuals. It is unknown whether these methods generalize to clinical populations, such as delayed sleep-wake phase disorder (DSWPD), where circadian timing is associated with functional outcomes. This study evaluated two methods for predicting dim light melatonin onset (DLMO) in 154 DSWPD patients using ~ 7 days of sleep-wake and light data: a dynamic model and a statistical model. The dynamic model has been validated in healthy individuals under both laboratory and field conditions. The statistical model was developed for this dataset and used a multiple linear regression of light exposure during phase delay/advance portions of the phase response curve, as well as sleep timing and demographic variables. Both models performed comparably well in predicting DLMO. The dynamic model predicted DLMO with root mean square error of 68 min, with predictions accurate to within ± 1 h in 58% of participants and ± 2 h in 95%. The statistical model predicted DLMO with root mean square error of 57 min, with predictions accurate to within ± 1 h in 75% of participants and ± 2 h in 96%. We conclude that circadian phase prediction from light data is a viable technique for improving screening, diagnosis, and treatment of DSWPD.
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Affiliation(s)
- Jade M. Murray
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC 3800 Australia ,Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, VIC Australia ,NHMRC Centre for Sleep and Circadian Neurobiology, Sydney, NSW Australia
| | - Michelle Magee
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC 3800 Australia ,Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, VIC Australia ,NHMRC Centre for Sleep and Circadian Neurobiology, Sydney, NSW Australia ,grid.1008.90000 0001 2179 088XCentre for Neuroscience of Speech, Department of Audiology and Speech Pathology, University of Melbourne, Melbourne, VIC Australia
| | - Tracey L. Sletten
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC 3800 Australia ,Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, VIC Australia ,NHMRC Centre for Sleep and Circadian Neurobiology, Sydney, NSW Australia
| | - Christopher Gordon
- Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, VIC Australia ,NHMRC Centre for Sleep and Circadian Neurobiology, Sydney, NSW Australia ,grid.417229.b0000 0000 8945 8472Woolcock Institute of Medical Research and Sydney Local Health District, Sydney, NSW Australia ,grid.1013.30000 0004 1936 834XUniversity of Sydney Susan Wakil School of Nursing, Camperdown, NSW Australia
| | - Nicole Lovato
- Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, VIC Australia ,grid.1014.40000 0004 0367 2697Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, SA Australia
| | - Krutika Ambani
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC 3800 Australia
| | - Delwyn J. Bartlett
- Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, VIC Australia ,NHMRC Centre for Sleep and Circadian Neurobiology, Sydney, NSW Australia ,grid.417229.b0000 0000 8945 8472Woolcock Institute of Medical Research and Sydney Local Health District, Sydney, NSW Australia
| | - David J. Kennaway
- grid.1010.00000 0004 1936 7304Robinson Research Institute and School of Medicine, University of Adelaide, Adelaide, SA Australia
| | - Leon C. Lack
- Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, VIC Australia ,grid.1014.40000 0004 0367 2697Adelaide Institute for Sleep Health, College of Medicine and Public Health, Flinders University, Adelaide, SA Australia
| | - Ronald R. Grunstein
- Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, VIC Australia ,NHMRC Centre for Sleep and Circadian Neurobiology, Sydney, NSW Australia ,grid.417229.b0000 0000 8945 8472Woolcock Institute of Medical Research and Sydney Local Health District, Sydney, NSW Australia
| | - Steven W. Lockley
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC 3800 Australia ,Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, VIC Australia ,NHMRC Centre for Sleep and Circadian Neurobiology, Sydney, NSW Australia ,grid.62560.370000 0004 0378 8294Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA USA
| | - Shantha M. W. Rajaratnam
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC 3800 Australia ,Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, VIC Australia ,NHMRC Centre for Sleep and Circadian Neurobiology, Sydney, NSW Australia ,grid.62560.370000 0004 0378 8294Division of Sleep and Circadian Disorders, Departments of Medicine and Neurology, Brigham and Women’s Hospital, Boston, MA USA ,grid.38142.3c000000041936754XDivision of Sleep Medicine, Harvard Medical School, Boston, MA USA
| | - Andrew J. K. Phillips
- grid.1002.30000 0004 1936 7857Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, 18 Innovation Walk, Clayton, VIC 3800 Australia ,Cooperative Research Centre for Alertness, Safety and Productivity, Clayton, VIC Australia
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Hancox TPM, Skene DJ, Dallmann R, Dunn WB. Tick-Tock Consider the Clock: The Influence of Circadian and External Cycles on Time of Day Variation in the Human Metabolome-A Review. Metabolites 2021; 11:328. [PMID: 34069741 PMCID: PMC8161100 DOI: 10.3390/metabo11050328] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2021] [Revised: 05/13/2021] [Accepted: 05/17/2021] [Indexed: 12/21/2022] Open
Abstract
The past decade has seen a large influx of work investigating time of day variation in different human biofluid and tissue metabolomes. The driver of this daily variation can be endogenous circadian rhythms driven by the central and/or peripheral clocks, or exogenous diurnal rhythms driven by behavioural and environmental cycles, which manifest as regular 24 h cycles of metabolite concentrations. This review, of all published studies to date, establishes the extent of daily variation with regard to the number and identity of 'rhythmic' metabolites observed in blood, saliva, urine, breath, and skeletal muscle. The probable sources driving such variation, in addition to what metabolite classes are most susceptible in adhering to or uncoupling from such cycles is described in addition to a compiled list of common rhythmic metabolites. The reviewed studies show that the metabolome undergoes significant time of day variation, primarily observed for amino acids and multiple lipid classes. Such 24 h rhythms, driven by various factors discussed herein, are an additional source of intra/inter-individual variation and are thus highly pertinent to all studies applying untargeted and targeted metabolomics platforms, particularly for the construction of biomarker panels. The potential implications are discussed alongside proposed minimum reporting criteria suggested to acknowledge time of day variation as a potential influence of results and to facilitate improved reproducibility.
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Affiliation(s)
- Thomas P. M. Hancox
- School of Biosciences, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
| | - Debra J. Skene
- Chronobiology, Faculty of Health and Medical Sciences, University of Surrey, Guildford GU2 7XH, UK;
| | - Robert Dallmann
- Division of Biomedical Sciences, Warwick Medical School, University of Warwick, Coventry CV4 7AL, UK;
| | - Warwick B. Dunn
- Institute of Metabolism and Systems Research, University of Birmingham, Edgbaston, Birmingham B15 2TT, UK
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34
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Acosta-Rodríguez VA, Rijo-Ferreira F, Green CB, Takahashi JS. Importance of circadian timing for aging and longevity. Nat Commun 2021; 12:2862. [PMID: 34001884 PMCID: PMC8129076 DOI: 10.1038/s41467-021-22922-6] [Citation(s) in RCA: 93] [Impact Index Per Article: 31.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/07/2019] [Accepted: 03/29/2021] [Indexed: 12/21/2022] Open
Abstract
Dietary restriction (DR) decreases body weight, improves health, and extends lifespan. DR can be achieved by controlling how much and/or when food is provided, as well as by adjusting nutritional composition. Because these factors are often combined during DR, it is unclear which are necessary for beneficial effects. Several drugs have been utilized that target nutrient-sensing gene pathways, many of which change expression throughout the day, suggesting that the timing of drug administration is critical. Here, we discuss how dietary and pharmacological interventions promote a healthy lifespan by influencing energy intake and circadian rhythms. Circadian clocks link physiologic processes to environmental conditions and a mismatch between internal and external rhythms has negative effects on organismal health. In this review, the authors discuss the interactions between circadian clocks and dietary interventions targeted to promote healthy aging.
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Affiliation(s)
- Victoria A Acosta-Rodríguez
- Department of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Filipa Rijo-Ferreira
- Department of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA.,Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Carla B Green
- Department of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA
| | - Joseph S Takahashi
- Department of Neuroscience, Peter O'Donnell Jr. Brain Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA. .,Howard Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, TX, USA.
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35
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Lo EH, Albers GW, Dichgans M, Donnan G, Esposito E, Foster R, Howells DW, Huang YG, Ji X, Klerman EB, Lee S, Li W, Liebeskind DS, Lizasoain I, Mandeville ET, Moro MA, Ning M, Ray D, Sakadžić S, Saver JL, Scheer FAJL, Selim M, Tiedt S, Zhang F, Buchan AM. Circadian Biology and Stroke. Stroke 2021; 52:2180-2190. [PMID: 33940951 DOI: 10.1161/strokeaha.120.031742] [Citation(s) in RCA: 35] [Impact Index Per Article: 11.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Circadian biology modulates almost all aspects of mammalian physiology, disease, and response to therapies. Emerging data suggest that circadian biology may significantly affect the mechanisms of susceptibility, injury, recovery, and the response to therapy in stroke. In this review/perspective, we survey the accumulating literature and attempt to connect molecular, cellular, and physiological pathways in circadian biology to clinical consequences in stroke. Accounting for the complex and multifactorial effects of circadian rhythm may improve translational opportunities for stroke diagnostics and therapeutics.
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Affiliation(s)
- Eng H Lo
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Departments of Radiology (E.H.L., E.E., W.L., E.T.M., S.S., F.Z.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Gregory W Albers
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Neurology, Stanford Stroke Center, Stanford University, Palo Alto (G.W.A., S.L.)
| | - Martin Dichgans
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,German Center for Neurodegenerative Diseases (DZNE, Munich) and Munich Cluster for Systems Neurology (SyNergy), Germany (M.D.).,Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany (M.D., S.T.)
| | - Geoffrey Donnan
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Departments of Medicine and Neurology, Royal Melbourne Hospital, University of Melbourne, Australia (G.D.)
| | - Elga Esposito
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Departments of Radiology (E.H.L., E.E., W.L., E.T.M., S.S., F.Z.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Russell Foster
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Sleep and Circadian Neuroscience Institute, Nuffield Department of Clinical Neurosciences (R.F.), University of Oxford, United Kingdom
| | - David W Howells
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Tasmanian School of Medicine, University of Tasmania, Australia (D.W.H.)
| | - Yi-Ge Huang
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Stroke Medicine (Y.H., A.M.B.), University of Oxford, United Kingdom
| | - Xunming Ji
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Beijing Institute for Brain Disorders, China (X.J.)
| | - Elizabeth B Klerman
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Neurology (E.B.K., M.N.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Sarah Lee
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Neurology, Stanford Stroke Center, Stanford University, Palo Alto (G.W.A., S.L.)
| | - Wenlu Li
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Departments of Radiology (E.H.L., E.E., W.L., E.T.M., S.S., F.Z.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - David S Liebeskind
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Neurology, Geffen School of Medicine, University of California Los Angeles (J.L.S., D.S.L.)
| | - Ignacio Lizasoain
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Pharmacology and Toxicology, Complutense Medical School, Instituto de Investigación Hospital 12 de Octubre, Madrid, Spain (I.L.)
| | - Emiri T Mandeville
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Departments of Radiology (E.H.L., E.E., W.L., E.T.M., S.S., F.Z.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Maria A Moro
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Centro Nacional de Investigaciones Cardiovasculares, CNIC, Madrid, Spain (M.A.M.)
| | - MingMing Ning
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Neurology (E.B.K., M.N.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - David Ray
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,NIHR Oxford Biomedical Research Centre, John Radcliffe Hospital, and Oxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, United Kingdom (D.R.)
| | - Sava Sakadžić
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Departments of Radiology (E.H.L., E.E., W.L., E.T.M., S.S., F.Z.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Jeffrey L Saver
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Neurology, Geffen School of Medicine, University of California Los Angeles (J.L.S., D.S.L.)
| | - Frank A J L Scheer
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Departments of Medicine and Neurology, Brigham & Women's Hospital (F.A.J.L.S.), Harvard Medical School, Boston
| | - Magdy Selim
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Neurology, Beth Israel Deaconess Medical Center (M.S.), Harvard Medical School, Boston
| | - Steffen Tiedt
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Institute for Stroke and Dementia Research (ISD), University Hospital, LMU Munich, Germany (M.D., S.T.)
| | - Fang Zhang
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Departments of Radiology (E.H.L., E.E., W.L., E.T.M., S.S., F.Z.), Massachusetts General Hospital, Harvard Medical School, Boston
| | - Alastair M Buchan
- CIRCA consortium (E.H.L., G.W.A., M.D., G.D., E.E., R.F., D.W.H., Y-G.H., X.J., E.B.K., S.L., W.L., D.S.L., I.L., E.T.M., M.A.M., M.N., D.R., S.S., J.L.S., F.A.J.L.S., M.S., S.T., F.Z., A.M.B.), Massachusetts General Hospital, Harvard Medical School, Boston.,Department of Stroke Medicine (Y.H., A.M.B.), University of Oxford, United Kingdom
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36
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Teng ZW, Yang GQ, Wang LF, Fu T, Lian HX, Sun Y, Han LQ, Zhang LY, Gao TY. Effects of the circadian rhythm on milk composition in dairy cows: Does day milk differ from night milk? J Dairy Sci 2021; 104:8301-8313. [PMID: 33865587 DOI: 10.3168/jds.2020-19679] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Accepted: 03/04/2021] [Indexed: 11/19/2022]
Abstract
Metabolism in most organisms can show variations between the day and night. These variations may also affect the composition of products derived from livestock. The aim of the present study was to investigate the difference in composition between the day milk and night milk of dairy cows. Ten multiparous Holstein cows (milk yield = 25.2 ± 5.00 kg/d) were randomly selected during mid lactation. Milk samples were collected at 0500 h ("night milk") and 1500 h ("day milk") and analyzed to determine their composition. Mid-infrared spectroscopy was used to analyze macronutrient content of milk. Metabolomics and lipidomics were used to detect and analyze small molecules and fatty acids, respectively. An automatic biochemical analyzer and ELISA kits were used to determine biochemical indicators, as well as antioxidant and immune parameters in the milk. Though milk fat, protein, lactose, and total milk solids were not different between day milk and night milk, small molecules, metabolites and lipids, and hormones and cytokines differed between day milk and night milk. Regarding biochemical and immune-related indicators, the concentrations of malondialdehyde, HSP70, and HSP90 in night milk were lower than that in day milk. However, interferon-γ levels were higher in night milk. Additionally, night milk was naturally rich in melatonin. Lipidomics analyses showed that the levels of some lipids in night milk were higher than those in day milk. Metabolomics analyses identified 36 different metabolites between day milk and night milk. Higher concentrations of N-acetyl-d-glucosamine, cis-aconitate, and d-sorbitol were observed in day milk. However, the other 33 metabolites analyzed, including carbohydrates, lipids, AA, and aromatic compounds, showed lower concentrations in day milk than in night milk. The present findings show that the composition of night milk differs considerably from that of day milk. Notable changes in the circadian rhythm also altered milk composition. These results provide evidence to support the strategic use and classification of day milk and night milk.
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Affiliation(s)
- Z W Teng
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan 450046, People's Republic of China
| | - G Q Yang
- Modern Experimental Technique and Management Centre, Henan Agricultural University, Zhengzhou, Henan 450002, People's Republic of China
| | - L F Wang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan 450046, People's Republic of China.
| | - T Fu
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan 450046, People's Republic of China
| | - H X Lian
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan 450046, People's Republic of China
| | - Y Sun
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan 450046, People's Republic of China
| | - L Q Han
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan 450046, People's Republic of China
| | - L Y Zhang
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan 450046, People's Republic of China
| | - T Y Gao
- College of Animal Science and Technology, Henan Agricultural University, Zhengzhou, Henan 450046, People's Republic of China
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MahmoudianDehkordi S, Ahmed AT, Bhattacharyya S, Han X, Baillie RA, Arnold M, Skime MK, John-Williams LS, Moseley MA, Thompson JW, Louie G, Riva-Posse P, Craighead WE, McDonald W, Krishnan R, Rush AJ, Frye MA, Dunlop BW, Weinshilboum RM, Kaddurah-Daouk R. Alterations in acylcarnitines, amines, and lipids inform about the mechanism of action of citalopram/escitalopram in major depression. Transl Psychiatry 2021; 11:153. [PMID: 33654056 PMCID: PMC7925685 DOI: 10.1038/s41398-020-01097-6] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/04/2020] [Revised: 10/01/2020] [Accepted: 10/26/2020] [Indexed: 12/11/2022] Open
Abstract
Selective serotonin reuptake inhibitors (SSRIs) are the first-line treatment for major depressive disorder (MDD), yet their mechanisms of action are not fully understood and their therapeutic benefit varies among individuals. We used a targeted metabolomics approach utilizing a panel of 180 metabolites to gain insights into mechanisms of action and response to citalopram/escitalopram. Plasma samples from 136 participants with MDD enrolled into the Mayo Pharmacogenomics Research Network Antidepressant Medication Pharmacogenomic Study (PGRN-AMPS) were profiled at baseline and after 8 weeks of treatment. After treatment, we saw increased levels of short-chain acylcarnitines and decreased levels of medium-chain and long-chain acylcarnitines, suggesting an SSRI effect on β-oxidation and mitochondrial function. Amines-including arginine, proline, and methionine sulfoxide-were upregulated while serotonin and sarcosine were downregulated, suggesting an SSRI effect on urea cycle, one-carbon metabolism, and serotonin uptake. Eighteen lipids within the phosphatidylcholine (PC aa and ae) classes were upregulated. Changes in several lipid and amine levels correlated with changes in 17-item Hamilton Rating Scale for Depression scores (HRSD17). Differences in metabolic profiles at baseline and post-treatment were noted between participants who remitted (HRSD17 ≤ 7) and those who gained no meaningful benefits (<30% reduction in HRSD17). Remitters exhibited (a) higher baseline levels of C3, C5, alpha-aminoadipic acid, sarcosine, and serotonin; and (b) higher week-8 levels of PC aa C34:1, PC aa C34:2, PC aa C36:2, and PC aa C36:4. These findings suggest that mitochondrial energetics-including acylcarnitine metabolism, transport, and its link to β-oxidation-and lipid membrane remodeling may play roles in SSRI treatment response.
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Affiliation(s)
- Siamak MahmoudianDehkordi
- grid.26009.3d0000 0004 1936 7961Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, Durham, NC USA
| | - Ahmed T. Ahmed
- grid.66875.3a0000 0004 0459 167XDepartment of Neurology, Mayo Clinic, Rochester, MN USA
| | - Sudeepa Bhattacharyya
- grid.252381.f0000 0001 2169 5989Department of Biological Sciences and Arkansas Biosciences Institute, Arkansas State University, Jonesboro, AR USA
| | - Xianlin Han
- grid.267309.90000 0001 0629 5880University of Texas Health Science Center at San Antonio, San Antonio, TX USA
| | | | - Matthias Arnold
- grid.26009.3d0000 0004 1936 7961Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, Durham, NC USA ,grid.4567.00000 0004 0483 2525Institute of Bioinformatics and Systems Biology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany
| | - Michelle K. Skime
- grid.66875.3a0000 0004 0459 167XDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN USA
| | - Lisa St. John-Williams
- grid.26009.3d0000 0004 1936 7961Proteomics and Metabolomics Shared Resource, Center for Genomic and Computational Biology, Duke University, Durham, NC 27710 USA
| | - M. Arthur Moseley
- grid.26009.3d0000 0004 1936 7961Proteomics and Metabolomics Shared Resource, Center for Genomic and Computational Biology, Duke University, Durham, NC 27710 USA
| | - J. Will Thompson
- grid.26009.3d0000 0004 1936 7961Proteomics and Metabolomics Shared Resource, Center for Genomic and Computational Biology, Duke University, Durham, NC 27710 USA
| | - Gregory Louie
- grid.26009.3d0000 0004 1936 7961Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, Durham, NC USA
| | - Patricio Riva-Posse
- grid.189967.80000 0001 0941 6502Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA USA
| | - W. Edward Craighead
- grid.189967.80000 0001 0941 6502Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA USA
| | - William McDonald
- grid.189967.80000 0001 0941 6502Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA USA
| | - Ranga Krishnan
- grid.262743.60000000107058297Department of Psychiatry, Rush Medical College, Chicago, IL USA
| | - A. John Rush
- grid.26009.3d0000 0004 1936 7961Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, Durham, NC USA ,grid.26009.3d0000 0004 1936 7961Professor Emeritus, Department of Pediatrics, Duke University School of Medicine, Durham, NC USA ,grid.416992.10000 0001 2179 3554Department of Psychiatry, Texas Tech University, Health Sciences Center, Permian Basin, TX USA
| | - Mark A. Frye
- grid.66875.3a0000 0004 0459 167XDepartment of Psychiatry and Psychology, Mayo Clinic, Rochester, MN USA
| | - Boadie W. Dunlop
- grid.189967.80000 0001 0941 6502Department of Psychiatry and Behavioral Sciences, Emory University School of Medicine, Atlanta, GA USA
| | - Richard M. Weinshilboum
- grid.66875.3a0000 0004 0459 167XDepartment of Molecular Pharmacology & Experimental Therapeutics, Mayo Clinic, Rochester, MN USA
| | - Rima Kaddurah-Daouk
- Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, Durham, NC, USA. .,Department of Medicine, Duke University, Durham, NC, USA. .,Duke Institute of Brain Sciences, Duke University, Durham, NC, USA.
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Ruan W, Yuan X, Eltzschig HK. Circadian rhythm as a therapeutic target. Nat Rev Drug Discov 2021; 20:287-307. [PMID: 33589815 DOI: 10.1038/s41573-020-00109-w] [Citation(s) in RCA: 158] [Impact Index Per Article: 52.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/09/2020] [Indexed: 12/20/2022]
Abstract
The circadian clock evolved in diverse organisms to integrate external environmental changes and internal physiology. The clock endows the host with temporal precision and robust adaptation to the surrounding environment. When circadian rhythms are perturbed or misaligned, as a result of jet lag, shiftwork or other lifestyle factors, adverse health consequences arise, and the risks of diseases such as cancer, cardiovascular diseases or metabolic disorders increase. Although the negative impact of circadian rhythm disruption is now well established, it remains underappreciated how to take advantage of biological timing, or correct it, for health benefits. In this Review, we provide an updated account of the circadian system and highlight several key disease areas with altered circadian signalling. We discuss environmental and lifestyle modifications of circadian rhythm and clock-based therapeutic strategies, including chronotherapy, in which dosing time is deliberately optimized for maximum therapeutic index, and pharmacological agents that target core clock components and proximal regulators. Promising progress in research, disease models and clinical applications should encourage a concerted effort towards a new era of circadian medicine.
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Affiliation(s)
- Wei Ruan
- Department of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.,Department of Anesthesiology, The Second Xiangya Hospital, Central South University, Changsha, China
| | - Xiaoyi Yuan
- Department of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Holger K Eltzschig
- Department of Anesthesiology, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA.
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Abstract
Lipidomics approaches provide quantitative characterization of hundreds of lipid species from biological samples. Recent studies highlight the value of these methods in studying circadian biology, and their potential goes far beyond studying lipid metabolism per se. For example, lipidomics analyses of subcellular compartments can be used to determine daily rhythmicity of different organelles and their intracellular dynamics. In this chapter we describe in detail the procedure for around the clock shotgun lipidomics, from sample preparation to bioinformatics analyses. Sample preparation includes biochemical fractionation of nuclei and mitochondria from mouse liver harvested throughout the day. Lipid content is determined and quantified, in unbiased manner and with wide coverage, using multidimensional mass spectrometry shotgun lipidomics (MDMS-SL). Circadian parameters are then determined with nonparametric statistical tests. Overall, the approach described herein is applicable for various animal models, tissues, and organelles, and is expected to yield new insight on various aspects of circadian biology and lipid metabolism.
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Affiliation(s)
- Rona Aviram
- Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Chunyan Wang
- Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Xianlin Han
- Barshop Institute for Longevity and Aging Studies, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - Gad Asher
- Department of Biomolecular Sciences, Weizmann Institute of Science, Rehovot, Israel.
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40
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Circadian Metabolomics from Breath. Methods Mol Biol 2020; 2130:149-156. [PMID: 33284442 DOI: 10.1007/978-1-0716-0381-9_11] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/07/2023]
Abstract
Metabolites like melatonin are essential in determining circadian phase. In the recent years, comprehensive metabolome analyses have unveiled entire panels of small biomolecules fluctuating in a circadian fashion, thus enabling a more precise determination of inner time and understanding of how circadian clock operates at the molecular level. Emerging analytical techniques allowing for the determination of exhaled metabolites in breath show promise to gain further insights noninvasively and in vivo into circadian metabolism.
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41
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Abstract
Introduction: Saliva is an ideal biofluid that can be collected in a noninvasive manner, enabling safe and frequent screening of various diseases. Recent studies have revealed that salivary metabolomics analysis has the potential to detect both oral and systemic cancers. Area covered: We reviewed the technical aspects, as well as applications, of salivary metabolomics for cancer detection. The topics include the effects of preconditioning and the method of sample collection, sample storage, processing, measurement, data analysis, and validation of the results. We also examined the rational relationship between salivary biomarkers and tumors distant from the oral cavity. A strategy to establish standard operating protocols for obtaining reproducible quantification data is also discussed Expert opinion: Salivary metabolomics reflects oral and systematic health status, which potently enables cancer detection. The sensitivity and specificity of each marker and their combinations have been well evaluated, but a validation study is required. Further, the standard operating protocol for each procedure should be established to obtain reproducible data before clinical usage.
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Affiliation(s)
- Masahiro Sugimoto
- Research and Development Centre for Minimally Invasive Therapies, Medical Research Institute, Tokyo Medical University , Tokyo, Japan.,Institute for Advanced Biosciences, Keio University , Yamagata, Japan
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42
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A detection method for latent circadian rhythm sleep-wake disorder. EBioMedicine 2020; 62:103080. [PMID: 33166792 PMCID: PMC7653065 DOI: 10.1016/j.ebiom.2020.103080] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 10/07/2020] [Accepted: 10/07/2020] [Indexed: 01/06/2023] Open
Abstract
BACKGROUND Individuals with typical circadian rhythm sleep-wake disorders (CRSWDs) have a habitual sleep timing that is desynchronized from social time schedules. However, it is possible to willfully force synchronisation against circadian-driven sleepiness, which causes other sleep problems. This pathology is distinguishable from typical CRSWDs and is referred to here as latent CRSWD (LCRSWD). Conventional diagnostic methods for typical CRSWDs are insufficient for detecting LCRSWD because sufferers have an apparently normal habitual sleep timing. METHODS We first evaluated the reliability of circadian phase estimation based on clock gene expression using hair follicles collected at three time points without sleep interruption. Next, to identify detection criteria for LCRSWD, we compared circadian and sleep parameters according to estimated circadian phases, at the group and individual level, between subjects with low and high Pittsburgh Sleep Quality Index (PSQI) scores. To validate the reliability of identified detection criteria, we investigated whether the same subjects could be reproducibly identified at a later date and whether circadian amelioration resulted in sleep improvement. FINDINGS We successfully validated the reliability of circadian phase estimation at three time points and identified potential detection criteria for individuals with LCRSWD attributed to delayed circadian-driven sleepiness. In particular, a criterion based on the interval between the times of the estimated circadian phase of clock gene expression and getting out of bed on work or school days was promising. We also successfully confirmed the reproducibility of candidate screening and sleep improvement by circadian amelioration, supporting the reliability of the detection criteria. INTERPRETATION Although several limitations remain, our present study demonstrates a promising prototype of a detection method for LCRSWD attributed to delayed circadian-driven sleepiness. More extensive trials are needed to further validate this method. FUNDING This study was supported mainly by JSPS, Japan.
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43
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Hesse J, Malhan D, Yalҫin M, Aboumanify O, Basti A, Relógio A. An Optimal Time for Treatment-Predicting Circadian Time by Machine Learning and Mathematical Modelling. Cancers (Basel) 2020; 12:cancers12113103. [PMID: 33114254 PMCID: PMC7690897 DOI: 10.3390/cancers12113103] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 10/15/2020] [Accepted: 10/20/2020] [Indexed: 02/07/2023] Open
Abstract
Tailoring medical interventions to a particular patient and pathology has been termed personalized medicine. The outcome of cancer treatments is improved when the intervention is timed in accordance with the patient's internal time. Yet, one challenge of personalized medicine is how to consider the biological time of the patient. Prerequisite for this so-called chronotherapy is an accurate characterization of the internal circadian time of the patient. As an alternative to time-consuming measurements in a sleep-laboratory, recent studies in chronobiology predict circadian time by applying machine learning approaches and mathematical modelling to easier accessible observables such as gene expression. Embedding these results into the mathematical dynamics between clock and cancer in mammals, we review the precision of predictions and the potential usage with respect to cancer treatment and discuss whether the patient's internal time and circadian observables, may provide an additional indication for individualized treatment timing. Besides the health improvement, timing treatment may imply financial advantages, by ameliorating side effects of treatments, thus reducing costs. Summarizing the advances of recent years, this review brings together the current clinical standard for measuring biological time, the general assessment of circadian rhythmicity, the usage of rhythmic variables to predict biological time and models of circadian rhythmicity.
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Affiliation(s)
- Janina Hesse
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin and Berlin Institute of Health, 10117 Berlin, Germany; (J.H.); (D.M.); (M.Y.); (O.A.); (A.B.)
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology and Tumor Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin Humboldt—Universität zu Berlin and Berlin Institute of Health, 10117 Berlin, Germany
| | - Deeksha Malhan
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin and Berlin Institute of Health, 10117 Berlin, Germany; (J.H.); (D.M.); (M.Y.); (O.A.); (A.B.)
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology and Tumor Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin Humboldt—Universität zu Berlin and Berlin Institute of Health, 10117 Berlin, Germany
| | - Müge Yalҫin
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin and Berlin Institute of Health, 10117 Berlin, Germany; (J.H.); (D.M.); (M.Y.); (O.A.); (A.B.)
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology and Tumor Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin Humboldt—Universität zu Berlin and Berlin Institute of Health, 10117 Berlin, Germany
| | - Ouda Aboumanify
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin and Berlin Institute of Health, 10117 Berlin, Germany; (J.H.); (D.M.); (M.Y.); (O.A.); (A.B.)
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology and Tumor Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin Humboldt—Universität zu Berlin and Berlin Institute of Health, 10117 Berlin, Germany
| | - Alireza Basti
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin and Berlin Institute of Health, 10117 Berlin, Germany; (J.H.); (D.M.); (M.Y.); (O.A.); (A.B.)
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology and Tumor Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin Humboldt—Universität zu Berlin and Berlin Institute of Health, 10117 Berlin, Germany
| | - Angela Relógio
- Institute for Theoretical Biology (ITB), Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt—Universität zu Berlin and Berlin Institute of Health, 10117 Berlin, Germany; (J.H.); (D.M.); (M.Y.); (O.A.); (A.B.)
- Molecular Cancer Research Center (MKFZ), Medical Department of Hematology, Oncology and Tumor Immunology, Charité—Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin Humboldt—Universität zu Berlin and Berlin Institute of Health, 10117 Berlin, Germany
- Department of Human Medicine, Institute for Systems Medicine and Bioinformatics, MSH Medical School Hamburg—University of Applied Sciences and Medical University, 20457 Hamburg, Germany
- Correspondence: or
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44
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Pearson JA, Wong FS, Wen L. Crosstalk between circadian rhythms and the microbiota. Immunology 2020; 161:278-290. [PMID: 33090484 PMCID: PMC7692254 DOI: 10.1111/imm.13278] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2020] [Revised: 09/20/2020] [Accepted: 09/30/2020] [Indexed: 02/06/2023] Open
Abstract
Circadian rhythms influence daily molecular oscillations in gene/protein expression and aspects of biology and physiology, including behaviour, body temperature and sleep–wake cycles. These circadian rhythms have been associated with a number of metabolic, immune and microbial changes that correlate with health and susceptibility to disease, including infection. While light is the main inducer of circadian rhythms, other factors, including the microbiota, can have important effects on peripheral rhythms. The microbiota have been of significant interest to many investigators over the past decade, with the development of molecular techniques to identify large numbers of species and their function. These studies have shown microbial associations with disease susceptibility, and some of these have demonstrated that alterations in microbiota cause disease. Microbial circadian oscillations impact host metabolism and immunity directly and indirectly. Interestingly, microbial oscillations also regulate host circadian rhythms, and the host circadian rhythms in turn modulate microbial composition. Thus, it is of considerable interest and importance to understand the crosstalk between circadian rhythms and microbiota and especially the microbial influences on the host. In this review, we aim to discuss the role of circadian microbial oscillations and how they influence host immunity. In addition, we discuss how host circadian rhythms can also modulate microbial rhythms. We also discuss potential connections between microbes and circadian rhythms and how these may be used therapeutically to maximize clinical success.
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Affiliation(s)
- James Alexander Pearson
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK.,Endocrinology, Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
| | - Florence Susan Wong
- Division of Infection and Immunity, School of Medicine, Cardiff University, Cardiff, UK
| | - Li Wen
- Endocrinology, Internal Medicine, School of Medicine, Yale University, New Haven, CT, USA
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45
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Mehus AA, Rust B, Idso JP, Hanson B, Zeng H, Yan L, Bukowski MR, Picklo MJ. Time-restricted feeding mice a high-fat diet induces a unique lipidomic profile. J Nutr Biochem 2020; 88:108531. [PMID: 33098972 DOI: 10.1016/j.jnutbio.2020.108531] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2020] [Revised: 09/11/2020] [Accepted: 10/18/2020] [Indexed: 11/19/2022]
Abstract
Time-restricted feeding (TRF) can reduce adiposity and lessen the co-morbidities of obesity. Mice consuming obesogenic high-fat (HF) diets develop insulin resistance and hepatic steatosis, but have elevated indices of long-chain polyunsaturated fatty acids (LCPUFA) that may be beneficial. While TRF impacts lipid metabolism, scant data exist regarding the impact of TRF upon lipidomic composition of tissues. We (1) tested the hypothesis that TRF of a HF diet elevates LCPUFA indices while preventing insulin resistance and hepatic steatosis and (2) determined the impact of TRF upon the lipidome in plasma, liver, and adipose tissue. For 12 weeks, male, adult mice were fed a control diet ad libitum, a HF diet ad libitum (HF-AL), or a HF diet with TRF, 12 hours during the dark phase (HF-TRF). HF-TRF prevented insulin resistance and hepatic steatosis resulting from by HF-AL treatment. TRF-blocked plasma increases in LCPUFA induced by HF-AL treatment but elevated concentrations of triacylglycerols and non-esterified saturated fatty acids. Analysis of the hepatic lipidome demonstrated that TRF did not elevate LCPUFA while reducing steatosis. However, TRF created (1) a separate hepatic lipid signature for triacylglycerols, phosphatidylcholine, and phosphatidylethanolamine species and (2) modified gene and protein expression consistent with reduced fatty acid synthesis and restoration of diurnal gene signaling. TRF increased the saturated fatty acid content in visceral adipose tissue. In summary, TRF of a HF diet alters the lipidomic profile of plasma, liver, and adipose tissue, creating a third distinct lipid metabolic state indicative of positive metabolic adaptations following HF intake.
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Affiliation(s)
- Aaron A Mehus
- USDA-ARS Grand Forks Human Nutrition Research Center Grand Forks, North Dakota, USA; Department of Pathology, University of North Dakota, School of Medicine and Health Sciences, Grand Forks, North Dakota, USA
| | - Bret Rust
- USDA-ARS Grand Forks Human Nutrition Research Center Grand Forks, North Dakota, USA
| | - Joseph P Idso
- USDA-ARS Grand Forks Human Nutrition Research Center Grand Forks, North Dakota, USA
| | - Benjamin Hanson
- USDA-ARS Grand Forks Human Nutrition Research Center Grand Forks, North Dakota, USA
| | - Huawei Zeng
- USDA-ARS Grand Forks Human Nutrition Research Center Grand Forks, North Dakota, USA
| | - Lin Yan
- USDA-ARS Grand Forks Human Nutrition Research Center Grand Forks, North Dakota, USA
| | - Michael R Bukowski
- USDA-ARS Grand Forks Human Nutrition Research Center Grand Forks, North Dakota, USA; Department of Chemistry, University of North Dakota, Grand Forks, North Dakota, USA
| | - Matthew J Picklo
- USDA-ARS Grand Forks Human Nutrition Research Center Grand Forks, North Dakota, USA; Department of Chemistry, University of North Dakota, Grand Forks, North Dakota, USA.
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46
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Ch R, Chevallier O, Elliott CT. Metabolomics reveal circadian control of cellular metabolism. Trends Analyt Chem 2020. [DOI: 10.1016/j.trac.2020.115986] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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47
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Koch EJ, Moriano-Gutierrez S, Ruby EG, McFall-Ngai M, Liebeke M. The impact of persistent colonization by Vibrio fischeri on the metabolome of the host squid Euprymna scolopes. J Exp Biol 2020; 223:jeb212860. [PMID: 32616546 PMCID: PMC7473655 DOI: 10.1242/jeb.212860] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Accepted: 06/24/2020] [Indexed: 12/27/2022]
Abstract
Associations between animals and microbes affect not only the immediate tissues where they occur, but also the entire host. Metabolomics, the study of small biomolecules generated during metabolic processes, provides a window into how mutualistic interactions shape host biochemistry. The Hawaiian bobtail squid, Euprymna scolopes, is amenable to metabolomic studies of symbiosis because the host can be reared with or without its species-specific symbiont, Vibrio fischeri In addition, unlike many invertebrates, the host squid has a closed circulatory system. This feature allows a direct sampling of the refined collection of metabolites circulating through the body, a focused approach that has been highly successful with mammals. Here, we show that rearing E. scolopes without its natural symbiont significantly affected one-quarter of the more than 100 hemolymph metabolites defined by gas chromatography mass spectrometry analysis. Furthermore, as in mammals, which harbor complex consortia of bacterial symbionts, the metabolite signature oscillated on symbiont-driven daily rhythms and was dependent on the sex of the host. Thus, our results provide evidence that the population of even a single symbiont species can influence host hemolymph biochemistry as a function of symbiotic state, host sex and circadian rhythm.
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Affiliation(s)
- Eric J Koch
- Kewalo Marine Laboratory, University of Hawaii at Mānoa, Honolulu, HI 96813, USA
- Department of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Silvia Moriano-Gutierrez
- Kewalo Marine Laboratory, University of Hawaii at Mānoa, Honolulu, HI 96813, USA
- Department of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Edward G Ruby
- Kewalo Marine Laboratory, University of Hawaii at Mānoa, Honolulu, HI 96813, USA
- Department of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Margaret McFall-Ngai
- Kewalo Marine Laboratory, University of Hawaii at Mānoa, Honolulu, HI 96813, USA
- Department of Medical Microbiology and Immunology, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Manuel Liebeke
- Max Planck Institute for Marine Microbiology, 28359 Bremen, Germany
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48
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Wu G, Ruben MD, Francey LJ, Smith DF, Sherrill JD, Oblong JE, Mills KJ, Hogenesch JB. A population-based gene expression signature of molecular clock phase from a single epidermal sample. Genome Med 2020; 12:73. [PMID: 32825850 PMCID: PMC7441562 DOI: 10.1186/s13073-020-00768-9] [Citation(s) in RCA: 28] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/12/2020] [Accepted: 07/24/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND For circadian medicine to influence health, such as when to take a drug or undergo a procedure, a biomarker of molecular clock phase is required--one that is easily measured and generalizable across a broad population. It is not clear that any circadian biomarker yet satisfies these criteria. METHODS We analyzed 24-h molecular rhythms in human dermis and epidermis at three distinct body sites, leveraging both longitudinal (n = 20) and population (n = 154) data. We applied cyclic ordering by periodic structure (CYCLOPS) to order the population samples where biopsy time was not recorded. With CYCLOPS-predicted phases, we used ZeitZeiger to discover potential biomarkers of clock phase. RESULTS Circadian clock function was strongest in the epidermis, regardless of body site. We identified a 12-gene expression signature that reported molecular clock phase to within 3 h (mean error = 2.5 h) from a single sample of epidermis--the skin's most superficial layer. This set performed well across body sites, ages, sexes, and detection platforms. CONCLUSIONS This research shows that the clock in epidermis is more robust than dermis regardless of body site. To encourage ongoing validation of this putative biomarker in diverse populations, diseases, and experimental designs, we developed SkinPhaser--a user-friendly app to test biomarker performance in datasets ( https://github.com/gangwug/SkinPhaser ).
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Affiliation(s)
- Gang Wu
- Divisions of Human Genetics and Immunobiology, Center for Circadian Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, 240 Albert Sabin Way, Cincinnati, OH, 45229, USA
| | - Marc D Ruben
- Divisions of Human Genetics and Immunobiology, Center for Circadian Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, 240 Albert Sabin Way, Cincinnati, OH, 45229, USA
| | - Lauren J Francey
- Divisions of Human Genetics and Immunobiology, Center for Circadian Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, 240 Albert Sabin Way, Cincinnati, OH, 45229, USA
| | - David F Smith
- Divisions of Pediatric Otolaryngology, Pulmonary Medicine, and the Sleep Center, Cincinnati Children's Hospital Medical Center, 3333 Burnet Ave, Cincinnati, OH, 45229, USA
- Department of Otolaryngology-Head and Neck Surgery, University of Cincinnati College of Medicine, 231 Albert Sabin Way, Cincinnati, OH, 45267, USA
| | - Joseph D Sherrill
- The Procter and Gamble Company, Mason Business Center, 8700 Mason Montgomery Road, Mason, OH, 45040, USA
| | - John E Oblong
- The Procter and Gamble Company, Mason Business Center, 8700 Mason Montgomery Road, Mason, OH, 45040, USA
| | - Kevin J Mills
- The Procter and Gamble Company, Mason Business Center, 8700 Mason Montgomery Road, Mason, OH, 45040, USA
| | - John B Hogenesch
- Divisions of Human Genetics and Immunobiology, Center for Circadian Medicine, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, 240 Albert Sabin Way, Cincinnati, OH, 45229, USA.
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49
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Finger AM, Dibner C, Kramer A. Coupled network of the circadian clocks: a driving force of rhythmic physiology. FEBS Lett 2020; 594:2734-2769. [PMID: 32750151 DOI: 10.1002/1873-3468.13898] [Citation(s) in RCA: 46] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/06/2020] [Accepted: 07/21/2020] [Indexed: 12/15/2022]
Abstract
The circadian system is composed of coupled endogenous oscillators that allow living beings, including humans, to anticipate and adapt to daily changes in their environment. In mammals, circadian clocks form a hierarchically organized network with a 'master clock' located in the suprachiasmatic nucleus of the hypothalamus, which ensures entrainment of subsidiary oscillators to environmental cycles. Robust rhythmicity of body clocks is indispensable for temporally coordinating organ functions, and the disruption or misalignment of circadian rhythms caused for instance by modern lifestyle is strongly associated with various widespread diseases. This review aims to provide a comprehensive overview of our current knowledge about the molecular architecture and system-level organization of mammalian circadian oscillators. Furthermore, we discuss the regulatory roles of peripheral clocks for cell and organ physiology and their implication in the temporal coordination of metabolism in human health and disease. Finally, we summarize methods for assessing circadian rhythmicity in humans.
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Affiliation(s)
- Anna-Marie Finger
- Laboratory of Chronobiology, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Berlin Institute of Health (BIH), Berlin, Germany
| | - Charna Dibner
- Division of Endocrinology, Diabetes, Nutrition, and Patient Education, Department of Medicine, University Hospital of Geneva, Geneva, Switzerland.,Department of Cell Physiology and Metabolism, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Diabetes Center, Faculty of Medicine, University of Geneva, Geneva, Switzerland.,Institute of Genetics and Genomics in Geneva (iGE3), University of Geneva, Geneva, Switzerland
| | - Achim Kramer
- Laboratory of Chronobiology, Charité Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.,Berlin Institute of Health (BIH), Berlin, Germany
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50
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Stone JE, Postnova S, Sletten TL, Rajaratnam SM, Phillips AJ. Computational approaches for individual circadian phase prediction in field settings. ACTA ACUST UNITED AC 2020. [DOI: 10.1016/j.coisb.2020.07.011] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
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