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Akbarzadeh A, Ming TJ, Schulze AD, Kaukinen KH, Li S, Günther OP, Houde ALS, Miller KM. Developing molecular classifiers to detect environmental stressors, smolt stages and morbidity in coho salmon, Oncorhynchus kisutch. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 951:175626. [PMID: 39168345 DOI: 10.1016/j.scitotenv.2024.175626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Revised: 07/16/2024] [Accepted: 08/16/2024] [Indexed: 08/23/2024]
Abstract
Aquatic species are increasingly confronted with environmental stressors because of climate change. Although molecular technologies have advanced our understanding of how organisms respond to stressors in laboratory settings, the ability to detect physiological responses to specific stressors under complex field conditions remains underdeveloped. This research applied multi-stressor challenge trials on coho salmon, employing the "Salmon Fit-Chips" genomic tool and a random forest-based classification model to develop classifiers predictive for chronic thermal and hypoxic stress, as well as salinity acclimation, smolt stage and morbidity status. The study also examined how smolts and de-smolts (smolts not having entered SW during the smolt window) responded transcriptionally to exposure to saltwater. Using RF classifiers optimized with 4 to 12 biomarkers, we identified transcriptional signatures that accurately predicted the presence of each stressor and physiological state, achieving prediction accuracy rates between 86.8 % and 100 %, regardless of other background stressors present. Stressor recovery time was established by placing fish back into non-stressor conditions after stress exposure, providing important context to stressor detections in field applications. Recovery from thermal and hypoxic stress requires about 3 and 2 days, respectively, with >3 days needed for re-acclimation to freshwater for seawater acclimated fish. The study also found non-additive (synergistic) effects of multiple stressors on mortality risk. Importantly, osmotic stress associated with de-smolts was the most important predictor of mortality. In saltwater, de-smolts exposed to salinity, high temperature, and hypoxia experienced a 9-fold increase in mortality compared to those only exposed to saltwater, suggesting a synergistic response to multiple stressors. These findings suggest that delays in hatchery releases to support release of larger fish need to be carefully scrutinized to ensure fish are not being released as de-smolts, which are highly susceptible to additional climate-induced stressors like rising temperatures and reduced dissolved oxygen levels in the marine environment.
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Affiliation(s)
- Arash Akbarzadeh
- Pacific Biological Station, Fisheries and Oceans Canada, 3190 Hammond Bay Rd, Nanaimo, BC V9T 6N7, Canada; Department of Fisheries, Faculty of Marine Science and Technology, University of Hormozgan, Bandar Abbas, Iran.
| | - Tobi J Ming
- Pacific Biological Station, Fisheries and Oceans Canada, 3190 Hammond Bay Rd, Nanaimo, BC V9T 6N7, Canada
| | - Angela D Schulze
- Pacific Biological Station, Fisheries and Oceans Canada, 3190 Hammond Bay Rd, Nanaimo, BC V9T 6N7, Canada
| | - Karia H Kaukinen
- Pacific Biological Station, Fisheries and Oceans Canada, 3190 Hammond Bay Rd, Nanaimo, BC V9T 6N7, Canada
| | - Shaorong Li
- Pacific Biological Station, Fisheries and Oceans Canada, 3190 Hammond Bay Rd, Nanaimo, BC V9T 6N7, Canada
| | - Oliver P Günther
- Günther Analytics, 402-5775 Hampton Place, Vancouver, BC V6T 2G6, Canada
| | - Aimee Lee S Houde
- Environmental Dynamics Inc. (EDI), 208A - 2520 Bowen Road, Nanaimo, BC V9T 3L3, Canada
| | - Kristina M Miller
- Pacific Biological Station, Fisheries and Oceans Canada, 3190 Hammond Bay Rd, Nanaimo, BC V9T 6N7, Canada
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Tang L, Zhao P, Pan C, Song Y, Zheng J, Zhu R, Wang F, Tang Y. Epigenetic molecular underpinnings of brain structural-functional connectivity decoupling in patients with major depressive disorder. J Affect Disord 2024; 363:249-257. [PMID: 39029702 DOI: 10.1016/j.jad.2024.07.110] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2023] [Revised: 06/24/2024] [Accepted: 07/16/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND Major depressive disorder (MDD) is progressively recognized as a stress-related disorder characterized by aberrant brain network dynamics, encompassing both structural and functional domains. Yet, the intricate interplay between these dynamic networks and their molecular underpinnings remains predominantly unexplored. METHODS Both structural and functional networks were constructed using multimodal neuroimaging data from 183 MDD patients and 300 age- and gender-matched healthy controls (HC). structural-functional connectivity (SC-FC) coupling was evaluated at both the connectome- and nodal-levels. Methylation data of five HPA axis key genes, including NR3C1, FKBP5, CRHBP, CRHR1, and CRHR2, were analyzed using Illumina Infinium Methylation EPIC BeadChip. RESULTS We observed a significant reduction in SC-FC coupling at the connectome-level in patients with MDD compared to HC. At the nodal level, we found an imbalance in SC-FC coupling, with reduced coupling in cortical regions and increased coupling in subcortical regions. Furthermore, we identified 23 differentially methylated CpG sites on the HPA axis, following adjustment for multiple comparisons and control of age, gender, and medication status. Notably, three CpG sites on NR3C1 (cg01294526, cg19457823, and cg23430507), one CpG site on FKBP5 (cg25563198), one CpG site on CRHR1 (cg26656751), and one CpG site on CRHR2 (cg18351440) exhibited significant associations with SC-FC coupling in MDD patients. CONCLUSIONS These findings provide valuable insights into the connection between micro-scale epigenetic changes in the HPA axis and SC-FC coupling at macro-scale connectomes. They unveil the mechanisms underlying increased susceptibility to MDD resulting from chronic stress and may suggest potential pharmacological targets within the HPA-axis for MDD treatment.
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Affiliation(s)
- Lili Tang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, PR China; Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, PR China
| | - Pengfei Zhao
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, PR China
| | - Chunyu Pan
- School of Computer Science and Engineering, Northeastern University, Shenyang, PR China
| | - Yanzhuo Song
- Department of Psychiatry, The First Affiliated Hospital of China Medical University, Shenyang, PR China
| | - Junjie Zheng
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, PR China
| | - Rongxin Zhu
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, PR China
| | - Fei Wang
- Early Intervention Unit, Department of Psychiatry, Affiliated Nanjing Brain Hospital, Nanjing Medical University, Nanjing, PR China.
| | - Yanqing Tang
- Department of Psychiatry, Shengjing Hospital of China Medical University, Shenyang, Liaoning, PR China.
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Grigorenko EL. The extraordinary "ordinary magic" of resilience. Dev Psychopathol 2024:1-18. [PMID: 39363871 DOI: 10.1017/s0954579424000841] [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: 10/05/2024]
Abstract
In this essay, I will briefly sample different instances of the utilization of the concept of resilience, attempting to complement a comprehensive representation of the field in the special issue of Development and Psychopathology inspired by the 42nd Minnesota Symposium on Child Psychology, hosted by the Institute of Child Development at the University of Minnesota and held in October of 2022. Having established the general context of the field, I will zoom in on some of its features, which I consider "low-hanging fruit" and which can be harvested in a systematic way to advance the study of resilience in the context of the future of developmental psychopathology.
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Kroflin K, Zannas AS. Epigenetic Regulation in Psychosomatics and Psychotherapy. Am J Psychother 2024:appipsychotherapy20230061. [PMID: 39344301 DOI: 10.1176/appi.psychotherapy.20230061] [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: 10/01/2024]
Abstract
Epigenetic modifications play a pivotal role in the regulation of gene expression and cell function, offering potential markers of disease states and therapeutic outcomes. Recent advancements in neuroscience have spurred interest in studying the epigenetic underpinnings of psychosomatic medicine. This review presents a new perspective on the role of epigenetic regulation in the realms of psychosomatics and psychotherapy. The authors first highlight epigenetic patterns associated with prevalent psychosomatic disorders, including irritable bowel syndrome, fibromyalgia, psoriasis, and lichen planus. For these conditions, psychotherapy serves as a treatment modality and can be conceptualized as an epigenetic intervention that beneficially affects the epigenome as part of the therapeutic process. Focusing on cognitive-behavioral and mindfulness-based therapies, the authors highlight evidence on psychotherapy-associated epigenetic signatures occurring at genes that are involved in stress response, inflammation, neurotransmission, neuroplasticity, and aging. Educating patients about the potential of psychotherapy to affect the epigenome may enhance patient engagement with and adherence to treatment, and psychotherapy-induced epigenetic changes have the potential to promote transgenerational disease prevention, underscoring the far-reaching implications of this therapeutic approach. Challenges persist in epigenetic studies, and this review aimed to catalyze further research in this burgeoning field, with the goal of enhancing patient care.
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Affiliation(s)
- Karla Kroflin
- University of Zagreb School of Medicine, Zagreb, Croatia (Kroflin); Department of Psychiatry and Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill (Zannas)
| | - Anthony S Zannas
- University of Zagreb School of Medicine, Zagreb, Croatia (Kroflin); Department of Psychiatry and Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill (Zannas)
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Jo M, Brännström M, Akins JW, Curry TE. New insights into the ovulatory process in the human ovary. Hum Reprod Update 2024:dmae027. [PMID: 39331957 DOI: 10.1093/humupd/dmae027] [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: 06/30/2023] [Revised: 08/02/2024] [Indexed: 09/29/2024] Open
Abstract
BACKGROUND Successful ovulation is essential for natural conception and fertility. Defects in the ovulatory process are associated with various conditions of infertility or subfertility in women. However, our understanding of the intra-ovarian biochemical mechanisms underlying this process in women has lagged compared to our understanding of animal models. This has been largely due to the limited availability of human ovarian samples that can be used to examine changes across the ovulatory period and delineate the underlying cellular/molecular mechanisms in women. Despite this challenge, steady progress has been made to improve our knowledge of the ovulatory process in women by: (i) collecting granulosa cells across the IVF interval, (ii) creating a novel approach to collecting follicular cells and tissues across the periovulatory period from normally cycling women, and (iii) developing unique in vitro models to examine the LH surge or hCG administration-induced ovulatory changes in gene expression, the regulatory mechanisms underlying the ovulatory changes, and the specific functions of the ovulatory factors. OBJECTIVE AND RATIONALE The objective of this review is to summarize findings generated using in vivo and in vitro models of human ovulation, with the goal of providing new insights into the mechanisms underlying the ovulatory process in women. SEARCH METHODS This review is based on the authors' own studies and a search of the relevant literature on human ovulation to date using PubMed search terms such as 'human ovulation EGF-signaling', 'human ovulation steroidogenesis', 'human ovulation transcription factor', 'human ovulation prostaglandin', 'human ovulation proteinase', 'human ovulation angiogenesis' 'human ovulation chemokine', 'human ovulatory disorder', 'human granulosa cell culture'. Our approach includes comparing the data from the authors' studies with the existing microarray or RNA-seq datasets generated using ovarian cells obtained throughout the ovulatory period from humans, monkeys, and mice. OUTCOMES Current findings from studies using in vivo and in vitro models demonstrate that the LH surge or hCG administration increases the expression of ovulatory mediators, including EGF-like factors, steroids, transcription factors, prostaglandins, proteolytic systems, and other autocrine and paracrine factors, similar to those observed in other animal models such as rodents, ruminants, and monkeys. However, the specific ovulatory factors induced, their expression pattern, and their regulatory mechanisms vary among different species. These species-specific differences stress the necessity of utilizing human samples to delineate the mechanisms underlying the ovulatory process in women. WIDER IMPLICATIONS The data from human ovulation in vivo and in vitro models have begun to fill the gaps in our understanding of the ovulatory process in women. Further efforts are needed to discover novel ovulatory factors. One approach to address these gaps is to improve existing in vitro models to more closely mimic in vivo ovulatory conditions in humans. This is critically important as the knowledge obtained from these human studies can be translated directly to aid in the diagnosis of ovulation-associated pathological conditions, for the development of more effective treatment to help women with anovulatory infertility or, conversely, to better manage ovulation for contraceptive purposes. REGISTRATION NUMBER N/A.
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Affiliation(s)
- Misung Jo
- Department of Obstetrics and Gynecology, University of Kentucky College of Medicine, Lexington, KY, USA
| | - Mats Brännström
- Department of Obstetrics and Gynecology, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden
- Stockholm IVF-EUGIN, Stockholm, Sweden
| | | | - Thomas E Curry
- Department of Obstetrics and Gynecology, University of Kentucky College of Medicine, Lexington, KY, USA
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Cuello C, González-Plaza A, Cambra JM, Garcia-Canovas M, Parrilla I, Rodriguez-Martinez H, Gil MA, Martinez EA. Vitrification of pig embryos dysregulates the microRNA transcriptome profile. Theriogenology 2024; 226:243-252. [PMID: 38943899 DOI: 10.1016/j.theriogenology.2024.06.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2024] [Revised: 06/06/2024] [Accepted: 06/06/2024] [Indexed: 07/01/2024]
Abstract
This study examined how the vitrification of pig blastocysts using either the superfine open pulled straw (SOPS) or Cryotop method affects the expression profile of embryonic microRNA (miRNA) transcriptomes, as well as its relation to changes in the expression of target genes (TGs). Surgically collected pig blastocysts were vitrified using either the SOPS method (n = 60; 4-6 embryos/device) or the Cryotop system (n = 60; 20 embryos/device). Embryos were cultured in vitro for 24 h after warming. Fresh blastocysts (n = 60) cultured for 24 h served as controls. After in vitro culture, five pools of eight viable blastocysts from each group were prepared for miRNA expression analysis based on a microarray approach. Then, biological interpretation of miRNAs profiles and integrative analysis of miRNA and mRNA transcriptome data were performed. Survival after 24 h of in vitro culture was similar (>96 %) for both the vitrification systems and the control group (100 %). Compared with the controls, the SOPS-vitrified blastocysts had 94 (one upregulated and 93 downregulated) differentially expressed (DE) miRNAs, and the Cryotop-vitrified blastocysts had 174 DE miRNAs (one upregulated and 173 downregulated). One DE miRNA (miR-503) in the SOPS group and three DE miRNAs (miR-7139-3p, miR-214 and miR-885-3p) in the Cryotop group were annotated for Sus scrofa. The integrative analysis showed that 27 and 61 DE TGs were regulated by the DE miRNAs in blastocysts vitrified with the SOPS and Cryotop systems, respectively. The TGs enriched one pathway (the TGF-β signaling pathway) for the SOPS system and four pathways (HIF-1, Notch, ascorbate and aldarate metabolism and glycosphingolipid biosynthesis-ganglio series) for the Cryotop system. In summary, vitrification via the SOPS and Cryotop systems dysregulates miRNAs, with slight differences between methods. The altered miRNAs identified in this study were related mainly to cell proliferation, apoptosis, and the response to cell stress. Further studies are needed to clarify the consequences of dysregulation of miRNAs involved in the TGF-β (SOPS-vitrified blastocyst) and Notch (Cryotop-vitrified blastocyst) signaling pathways, particularly if they can affect embryonic development.
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Affiliation(s)
- Cristina Cuello
- Department of Medicine and Animal Surgery, Faculty of Veterinary Medicine, International Excellence Campus for Higher Education and Research "Campus Mare Nostrum", Institute for Biomedical Research of Murcia (IMIB-Arrixaca), University of Murcia, 30100, Murcia, Spain
| | - Alejandro González-Plaza
- Department of Medicine and Animal Surgery, Faculty of Veterinary Medicine, International Excellence Campus for Higher Education and Research "Campus Mare Nostrum", Institute for Biomedical Research of Murcia (IMIB-Arrixaca), University of Murcia, 30100, Murcia, Spain.
| | - Josep M Cambra
- Large Animal Models in Cardiovascular Research, Internal Medical Department I, TUMunich, Technical University of Munich, Munich, Germany
| | - Manuela Garcia-Canovas
- Department of Medicine and Animal Surgery, Faculty of Veterinary Medicine, International Excellence Campus for Higher Education and Research "Campus Mare Nostrum", Institute for Biomedical Research of Murcia (IMIB-Arrixaca), University of Murcia, 30100, Murcia, Spain
| | - Inmaculada Parrilla
- Department of Medicine and Animal Surgery, Faculty of Veterinary Medicine, International Excellence Campus for Higher Education and Research "Campus Mare Nostrum", Institute for Biomedical Research of Murcia (IMIB-Arrixaca), University of Murcia, 30100, Murcia, Spain
| | - Heriberto Rodriguez-Martinez
- Department of Biomedical & Clinical Sciences (BKV), BKH/Obstetrics & Gynaecology, Faculty of Medicine and Health Sciences, Linköping University, SE-58185 Linköping, Sweden
| | - Maria A Gil
- Department of Medicine and Animal Surgery, Faculty of Veterinary Medicine, International Excellence Campus for Higher Education and Research "Campus Mare Nostrum", Institute for Biomedical Research of Murcia (IMIB-Arrixaca), University of Murcia, 30100, Murcia, Spain
| | - Emilio A Martinez
- Department of Medicine and Animal Surgery, Faculty of Veterinary Medicine, International Excellence Campus for Higher Education and Research "Campus Mare Nostrum", Institute for Biomedical Research of Murcia (IMIB-Arrixaca), University of Murcia, 30100, Murcia, Spain
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7
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Loy CJ, Servellita V, Sotomayor-Gonzalez A, Bliss A, Lenz JS, Belcher E, Suslovic W, Nguyen J, Williams ME, Oseguera M, Gardiner MA, Choi JH, Hsiao HM, Wang H, Kim J, Shimizu C, Tremoulet AH, Delaney M, DeBiasi RL, Rostad CA, Burns JC, Chiu CY, De Vlaminck I. Plasma cell-free RNA signatures of inflammatory syndromes in children. Proc Natl Acad Sci U S A 2024; 121:e2403897121. [PMID: 39240972 PMCID: PMC11406294 DOI: 10.1073/pnas.2403897121] [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: 02/23/2024] [Accepted: 07/25/2024] [Indexed: 09/08/2024] Open
Abstract
Inflammatory syndromes, including those caused by infection, are a major cause of hospital admissions among children and are often misdiagnosed because of a lack of advanced molecular diagnostic tools. In this study, we explored the utility of circulating cell-free RNA (cfRNA) in plasma as an analyte for the differential diagnosis and characterization of pediatric inflammatory syndromes. We profiled cfRNA in 370 plasma samples from pediatric patients with a range of inflammatory conditions, including Kawasaki disease (KD), multisystem inflammatory syndrome in children (MIS-C), viral infections, and bacterial infections. We developed machine learning models based on these cfRNA profiles, which effectively differentiated KD from MIS-C-two conditions presenting with overlapping symptoms-with high performance [test area under the curve = 0.98]. We further extended this methodology into a multiclass machine learning framework that achieved 80% accuracy in distinguishing among KD, MIS-C, viral, and bacterial infections. We further demonstrated that cfRNA profiles can be used to quantify injury to specific tissues and organs, including the liver, heart, endothelium, nervous system, and the upper respiratory tract. Overall, this study identified cfRNA as a versatile analyte for the differential diagnosis and characterization of a wide range of pediatric inflammatory syndromes.
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Affiliation(s)
- Conor J Loy
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850
| | - Venice Servellita
- Department of Laboratory Medicine, University of California, San Francisco, CA 94143
| | | | - Andrew Bliss
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850
| | - Joan S Lenz
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850
| | - Emma Belcher
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850
| | - Will Suslovic
- Division of Pediatric Infectious Disease, Children's National Hospital, Washington, DC 20010
| | - Jenny Nguyen
- Department of Laboratory Medicine, University of California, San Francisco, CA 94143
| | - Meagan E Williams
- Division of Pediatric Infectious Disease, Children's National Hospital, Washington, DC 20010
| | - Miriam Oseguera
- Department of Laboratory Medicine, University of California, San Francisco, CA 94143
| | - Michael A Gardiner
- Department of Pediatrics, Rady Children's Hospital-San Diego, San Diego, CA 92123
- Department of Pediatrics, Kawasaki Disease Research Center, University of California San Diego, La Jolla, CA 92093
| | - Jong-Ha Choi
- Division of Infectious Diseases, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 30307
- Center for Childhood Infections and Vaccines, Children's Healthcare of Atlanta, Atlanta, GA 30322
| | - Hui-Mien Hsiao
- Division of Infectious Diseases, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 30307
- Center for Childhood Infections and Vaccines, Children's Healthcare of Atlanta, Atlanta, GA 30322
| | - Hao Wang
- Department of Pediatrics, Kawasaki Disease Research Center, University of California San Diego, La Jolla, CA 92093
| | - Jihoon Kim
- Department of Biomedical Informatics and Data Science, Yale School of Medicine, New Haven, CT 06510
| | - Chisato Shimizu
- Department of Pediatrics, Kawasaki Disease Research Center, University of California San Diego, La Jolla, CA 92093
| | - Adriana H Tremoulet
- Department of Pediatrics, Rady Children's Hospital-San Diego, San Diego, CA 92123
- Department of Pediatrics, Kawasaki Disease Research Center, University of California San Diego, La Jolla, CA 92093
| | - Meghan Delaney
- Division of Pediatric Infectious Disease, Children's National Hospital, Washington, DC 20010
- Department of Pediatrics, George Washington University, School of Medicine & Health Sciences, Washington, DC 20052
| | - Roberta L DeBiasi
- Division of Pediatric Infectious Disease, Children's National Hospital, Washington, DC 20010
- Department of Pediatrics, George Washington University, School of Medicine & Health Sciences, Washington, DC 20052
| | - Christina A Rostad
- Division of Infectious Diseases, Department of Pediatrics, Emory University School of Medicine, Atlanta, GA 30307
- Center for Childhood Infections and Vaccines, Children's Healthcare of Atlanta, Atlanta, GA 30322
| | - Jane C Burns
- Department of Pediatrics, Rady Children's Hospital-San Diego, San Diego, CA 92123
- Department of Pediatrics, Kawasaki Disease Research Center, University of California San Diego, La Jolla, CA 92093
| | - Charles Y Chiu
- Department of Laboratory Medicine, University of California, San Francisco, CA 94143
- Department of Medicine, Division of Infectious Diseases, University of California, San Francisco, CA 94158
- Chan-Zuckerberg Biohub, San Francisco, CA 94158
| | - Iwijn De Vlaminck
- Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14850
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Gadd DA, Smith HM, Mullin D, Chybowska O, Hillary RF, Kimenai DM, Bernabeu E, Cheng Y, Fawns-Ritchie C, Campbell A, Page D, Taylor A, Corley J, Del C Valdés-Hernández M, Maniega SM, Bastin ME, Wardlaw JM, Walker RM, Evans KL, McIntosh AM, Hayward C, Russ TC, Harris SE, Welsh P, Sattar N, Cox SR, McCartney DL, Marioni RE. DNAm scores for serum GDF15 and NT-proBNP levels associate with a range of traits affecting the body and brain. Clin Epigenetics 2024; 16:124. [PMID: 39256775 PMCID: PMC11389299 DOI: 10.1186/s13148-024-01734-7] [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: 10/18/2023] [Accepted: 08/23/2024] [Indexed: 09/12/2024] Open
Abstract
BACKGROUND Plasma growth differentiation factor 15 (GDF15) and N-terminal proB-type natriuretic peptide (NT-proBNP) are cardiovascular biomarkers that associate with a range of diseases. Epigenetic scores (EpiScores) for GDF15 and NT-proBNP may provide new routes for risk stratification. RESULTS In the Generation Scotland cohort (N ≥ 16,963), GDF15 levels were associated with incident dementia, ischaemic stroke and type 2 diabetes, whereas NT-proBNP levels were associated with incident ischaemic heart disease, ischaemic stroke and type 2 diabetes (all PFDR < 0.05). Bayesian epigenome-wide association studies (EWAS) identified 12 and 4 DNA methylation (DNAm) CpG sites associated (Posterior Inclusion Probability [PIP] > 95%) with levels of GDF15 and NT-proBNP, respectively. EpiScores for GDF15 and NT-proBNP were trained in a subset of the population. The GDF15 EpiScore replicated protein associations with incident dementia, type 2 diabetes and ischaemic stroke in the Generation Scotland test set (hazard ratios (HR) range 1.36-1.41, PFDR < 0.05). The EpiScore for NT-proBNP replicated the protein association with type 2 diabetes, but failed to replicate an association with ischaemic stroke. EpiScores explained comparable variance in protein levels across both the Generation Scotland test set and the external LBC1936 test cohort (R2 range of 5.7-12.2%). In LBC1936, both EpiScores were associated with indicators of poorer brain health. Neither EpiScore was associated with incident dementia in the LBC1936 population. CONCLUSIONS EpiScores for serum levels of GDF15 and Nt-proBNP associate with body and brain health traits. These EpiScores are provided as potential tools for disease risk stratification.
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Affiliation(s)
- Danni A Gadd
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Hannah M Smith
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Donncha Mullin
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Ola Chybowska
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Robert F Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Dorien M Kimenai
- BHF Centre for Cardiovascular Science, University of Edinburgh, Edinburgh, UK
| | - Elena Bernabeu
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Yipeng Cheng
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Chloe Fawns-Ritchie
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Division of Psychology, University of Dundee, Dundee, Scotland, UK
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Danielle Page
- Department of Psychology, Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
| | - Adele Taylor
- Department of Psychology, Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
| | - Janie Corley
- Department of Psychology, Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
| | - Maria Del C Valdés-Hernández
- Department of Psychology, Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
- Centre for Clinical Brain Sciences, Edinburgh Imaging and UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Susana Muñoz Maniega
- Department of Psychology, Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
- Centre for Clinical Brain Sciences, Edinburgh Imaging and UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Mark E Bastin
- Department of Psychology, Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
- Centre for Clinical Brain Sciences, Edinburgh Imaging and UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
| | - Joanna M Wardlaw
- Department of Psychology, Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
- Scottish Imaging Network, A Platform for Scientific Excellence (SINAPSE) Collaboration, Edinburgh, UK
- Centre for Clinical Brain Sciences, Edinburgh Imaging and UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
- Neurovascular Imaging Research Core, UCLA, Los Angeles, CA, USA
| | - Rosie M Walker
- Centre for Clinical Brain Sciences, Edinburgh Imaging and UK Dementia Research Institute, University of Edinburgh, Edinburgh, UK
- School of Psychology, University of Exeter, Perry Road, Exeter, UK
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Andrew M McIntosh
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
| | - Caroline Hayward
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
- Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Tom C Russ
- Division of Psychiatry, Royal Edinburgh Hospital, University of Edinburgh, Edinburgh, UK
- Alzheimer Scotland Dementia Research Centre, University of Edinburgh, Edinburgh, UK
| | - Sarah E Harris
- Department of Psychology, Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
| | - Paul Welsh
- School of Cardiovascular and Metabolic Health, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, 126 University Place, Glasgow, UK
| | - Simon R Cox
- Department of Psychology, Lothian Birth Cohorts, University of Edinburgh, Edinburgh, UK
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh, UK.
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9
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Dursun I, Korkmaz ND, Firtina S, Erkoyuncu MS, Akbas F, Elibol B. Exploring epigenetic modification of the stress-related FKBP5 gene in mice exposed to alcohol during early postnatal development. Alcohol 2024:S0741-8329(24)00125-3. [PMID: 39245355 DOI: 10.1016/j.alcohol.2024.09.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2024] [Revised: 08/31/2024] [Accepted: 09/04/2024] [Indexed: 09/10/2024]
Abstract
Early developmental exposure to alcohol has been implicated in adverse effects on the brain, often associated with the onset of neurodevelopmental disorders. Moreover, maternal alcohol consumption during pregnancy has been linked to the manifestation of mental health disorders, such as depression and anxiety, in subsequent generations. These mood disturbances may be attributed to alterations in protein expressions related to depression and anxiety within the hippocampus. While the precise mechanisms remain elusive, it is likely that pre- and postnatal exposure to alcohol induces changes in hippocampus, potentially through epigenetic modifications. The FKBP5 gene, known to modulate the stress response, is particularly relevant in this context. We postulate that alcohol-induced methylation of the FKBP5 gene disrupts HPA axis function, thereby prompting individuals to anxiety-like and depressive-like behaviors. To investigate this hypothesis, female C57BL/6 pups were subjected to early alcohol exposure via intubation with ethanol mixed in artificial milk from Postnatal Day 3 to Day 20. The intubation control pups were subjected to the same procedures without ethanol or milk, and a non-intubated control group included. Anxiety-like and depressive-like behaviors were assessed using the open field test, plus maze test, forced swim test, and tail suspension test when the pups reached 3 months of age. For epigenetic analysis of the FKBP5 gene, genomic DNA was isolated from hippocampal tissues and subjected to bisulfite conversion to distinguish methylated and unmethylated cytosines. Then, methylation-specific PCR was performed to assess methylation levels. Pups exposed to early postnatal alcohol exhibited increased levels of depression-like behavior and susceptibility to anxiety-like behavior during adolescence, as verified by behavioral assessments. Methylation profiling revealed higher rates of methylation within the stress-associated gene FKBP5 in both the early postnatal alcohol-exposed cohort (13.82%) and the intubation control group (3.93%), in contrast to the control cohort devoid of stress or alcohol exposure. These findings suggest a potential epigenetic mechanism underlying the observed behavioral alterations, implicating FKBP5 methylation as a candidate mediator of the increased vulnerability to mood disorders following early postnatal alcohol exposure.
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Affiliation(s)
- Ilknur Dursun
- Department of Physiology, Faculty of Medicine, Istinye University, Istanbul, Turkey
| | - Nur Damla Korkmaz
- Department of Medical Biology, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey
| | - Sinem Firtina
- Department of Medical Genetics, Faculty of Medicine, Istanbul University-Cerrahpasa, Istanbul, Turkey
| | - Muhammed Salih Erkoyuncu
- Department of Neuroscience, Graduate School of Health Sciences, Bezmialem Vakif University, Istanbul, Turkey
| | - Fahri Akbas
- Department of Medical Biology, Faculty of Medicine, Bezmialem Vakif University, Istanbul, Turkey
| | - Birsen Elibol
- Department of Medical Biology, Faculty of Medicine, Istanbul Medeniyet University, Istanbul, Turkey.
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10
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Bertollo AG, Galvan ACL, Dallagnol C, Cortez AD, Ignácio ZM. Early Life Stress and Major Depressive Disorder-An Update on Molecular Mechanisms and Synaptic Impairments. Mol Neurobiol 2024; 61:6469-6483. [PMID: 38307968 DOI: 10.1007/s12035-024-03983-2] [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: 07/05/2023] [Accepted: 01/21/2024] [Indexed: 02/04/2024]
Abstract
Early life stress (ELS), characterized as abuse, neglect, and abandonment, can cause several adverse consequences in the lives of affected individuals. ELS experiences can affect an individual's development in variable ways, persisting in the long term and promoting lasting impacts, considering that early exposure to stressors can be biologically incorporated, as prolonged stimulation of stress response systems affects the development of the brain structure and other body systems, increasing the risk of diseases associated with stress and cognitive impairment. This type of stress increases the risk of developing major depressive disorder (MDD) in a severe form that does not respond adequately to traditional antidepressant treatments. Several alterations are studied as mechanisms that relate ELS with MDD, such as epigenetic alterations, neurotransmitters, and neuronal signaling. This review discusses research that brings evidence about the ELS mechanisms involved in synaptic impairments and MDD. The processes involved in epigenetic changes and the HPA axis are highlighted, as well as changes in neurotransmitters and neuronal signaling mechanisms.
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Affiliation(s)
- Amanda Gollo Bertollo
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of Fronteira Sul, Chapecó, SC, 89815-899, Brazil
| | - Agatha Carina Leite Galvan
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of Fronteira Sul, Chapecó, SC, 89815-899, Brazil
| | - Claudia Dallagnol
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of Fronteira Sul, Chapecó, SC, 89815-899, Brazil
| | - Arthur Dellazeri Cortez
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of Fronteira Sul, Chapecó, SC, 89815-899, Brazil
| | - Zuleide Maria Ignácio
- Laboratory of Physiology Pharmacology and Psychopathology, Graduate Program in Biomedical Sciences, Federal University of Fronteira Sul, Chapecó, SC, 89815-899, Brazil.
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11
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Cruz B, Vozella V, Borgonetti V, Bullard R, Bianchi PC, Kirson D, Bertotto LB, Bajo M, Vlkolinsky R, Messing RO, Zorrilla EP, Roberto M. Chemogenetic inhibition of central amygdala CRF-expressing neurons decreases alcohol intake but not trauma-related behaviors in a rat model of post-traumatic stress and alcohol use disorder. Mol Psychiatry 2024; 29:2611-2621. [PMID: 38509197 PMCID: PMC11415545 DOI: 10.1038/s41380-024-02514-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 02/27/2024] [Accepted: 03/01/2024] [Indexed: 03/22/2024]
Abstract
Post-traumatic stress disorder (PTSD) and alcohol use disorder (AUD) are often comorbid. Few treatments exist to reduce comorbid PTSD/AUD. Elucidating the mechanisms underlying their comorbidity could reveal new avenues for therapy. Here, we employed a model of comorbid PTSD/AUD, in which rats were subjected to a stressful shock in a familiar context followed by alcohol drinking. We then examined fear overgeneralization and irritability in these rats. Familiar context stress elevated drinking, increased fear overgeneralization, increased alcohol-related aggressive signs, and elevated peripheral stress hormones. We then examined transcripts of stress- and fear-relevant genes in the central amygdala (CeA), a locus that regulates stress-mediated alcohol drinking. Compared with unstressed rats, stressed rats exhibited increases in CeA transcripts for Crh and Fkbp5 and decreases in transcripts for Bdnf and Il18. Levels of Nr3c1 mRNA, which encodes the glucocorticoid receptor, increased in stressed males but decreased in stressed females. Transcripts of Il18 binding protein (Il18bp), Glp-1r, and genes associated with calcitonin gene-related peptide signaling (Calca, Ramp1, Crlr-1, and Iapp) were unaltered. Crh, but not Crhr1, mRNA was increased by stress; thus, we tested whether inhibiting CeA neurons that express corticotropin-releasing factor (CRF) suppress PTSD/AUD-like behaviors. We used Crh-Cre rats that had received a Cre-dependent vector encoding hM4D(Gi), an inhibitory Designer Receptors Exclusively Activated by Designer Drugs. Chemogenetic inhibition of CeA CRF neurons reduced alcohol intake but not fear overgeneralization or irritability-like behaviors. Our findings suggest that CeA CRF modulates PTSD/AUD comorbidity, and inhibiting CRF neural activity is primarily associated with reducing alcohol drinking but not trauma-related behaviors that are associated with PTSD/AUD.
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Affiliation(s)
- Bryan Cruz
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92073, USA
| | - Valentina Vozella
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92073, USA
| | - Vittoria Borgonetti
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92073, USA
| | - Ryan Bullard
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92073, USA
| | - Paula C Bianchi
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92073, USA
| | - Dean Kirson
- Department of Pharmacology, Addiction Science, and Toxicology, The University of Tennessee Health Science Center, Memphis, TN, 38163, USA
| | - Luisa B Bertotto
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92073, USA
| | - Michal Bajo
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92073, USA
| | - Roman Vlkolinsky
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92073, USA
| | - Robert O Messing
- Waggoner Center for Alcohol and Addiction Research, Department of Neuroscience, The University of Texas at Austin, Austin, TX, 78712, USA
| | - Eric P Zorrilla
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92073, USA
| | - Marisa Roberto
- Department of Molecular Medicine, The Scripps Research Institute, La Jolla, CA, 92073, USA.
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12
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Willford JA, Kaufman JM. Through a teratological lens: A narrative review of exposure to stress and drugs of abuse during pregnancy on neurodevelopment. Neurotoxicol Teratol 2024; 105:107384. [PMID: 39187031 DOI: 10.1016/j.ntt.2024.107384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2024] [Revised: 08/20/2024] [Accepted: 08/21/2024] [Indexed: 08/28/2024]
Abstract
Teratological research shows that both prenatal stress and prenatal substance exposure have a significant impact on neurodevelopmental outcomes in children. Using human research, the purpose of this narrative review is to explore the degree to which these exposures may represent complex prenatal and postnatal risks for the development of cognition and behavior in children. An understanding of the HPA axis and its function during pregnancy as well as the types and operationalization of prenatal stress provide a context for understanding the direct and indirect mechanisms by which prenatal stress affects brain and behavior development. In turn, prenatal substance exposure studies are evaluated for their importance in understanding variables that indicate a potential interaction with prenatal stress including reactivity to novelty, arousal, and stress reactivity during early childhood. The similarities and differences between prenatal stress exposure and prenatal substance exposure on neurodevelopmental outcomes including arousal and emotion regulation, cognition, behavior, stress reactivity, and risk for psychopathology are summarized. Further considerations for teratological studies of prenatal stress and/or substance exposure include identifying and addressing methodological challenges, embracing the complexity of pre-and postnatal environments in the research, and the importance of incorporating parenting and resilience into future studies.
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Affiliation(s)
- Jennifer A Willford
- Slippery Rock University, Department of Psychology, 1 Morrow Way, Slippery Rock, PA 16057, United States of America.
| | - Jesse M Kaufman
- Slippery Rock University, Department of Psychology, 1 Morrow Way, Slippery Rock, PA 16057, United States of America
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13
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Debs SR, Rothmond DA, Zhu Y, Weickert CS, Purves-Tyson TD. Molecular evidence of altered stress responsivity related to neuroinflammation in the schizophrenia midbrain. J Psychiatr Res 2024; 177:118-128. [PMID: 39004003 DOI: 10.1016/j.jpsychires.2024.07.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/04/2023] [Revised: 06/12/2024] [Accepted: 07/02/2024] [Indexed: 07/16/2024]
Abstract
Stress and inflammation are risk factors for schizophrenia. Chronic psychosocial stress is associated with subcortical hyperdopaminergia, a core feature of schizophrenia. Hyperdopaminergia arises from midbrain neurons, leading us to hypothesise that changes in stress response pathways may occur in this region. To identify whether transcriptional changes in glucocorticoid and mineralocorticoid receptors (NR3C1/GR, NR3C2/MR) or other stress signalling molecules (FKBP4, FKBP5) exist in schizophrenia midbrain, we measured gene expression in the human brain (N = 56) using qRT-PCR. We assessed whether alterations in these mRNAs were related to previously identified high/low inflammatory status. We investigated relationships between stress-related transcripts themselves, and between FKBP5 mRNA, dopaminergic, and glial cell transcripts in diagnostic and inflammatory subgroups. Though unchanged by diagnosis, GR mRNA levels were reduced in high inflammatory compared to low inflammatory schizophrenia cases (p = 0.026). We found no effect of diagnosis or inflammation on MR mRNA. FKBP4 mRNA was decreased and FKBP5 mRNA was increased in schizophrenia (p < 0.05). FKBP5 changes occurred in high inflammatory (p < 0.001), whereas FKBP4 changes occurred in low inflammatory schizophrenia cases (p < 0.05). The decrease in mRNA encoding the main stress receptor (GR), as well as increased transcript levels of the stress-responsive negative regulator (FKBP5), may combine to blunt the midbrain response to stress in schizophrenia when neuroinflammation is present. Negative correlations between FKBP5 mRNA and dopaminergic transcripts in the low inflammatory subgroup suggest higher levels of FKBP5 mRNA may also attenuate dopaminergic neurotransmission in schizophrenia even when inflammation is absent. We report alterations in GR-mediated stress signalling in the midbrain in schizophrenia.
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Affiliation(s)
- Sophie R Debs
- Preclinical Neuropsychiatry Laboratory, Neuroscience Research Australia, Randwick, New South Wales, 2031, Australia; Discipline of Psychiatry & Mental Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, 2052, Australia
| | - Debora A Rothmond
- Schizophrenia Research Laboratory, Neuroscience Research Australia, Randwick, New South Wales, 2031, Australia
| | - Yunting Zhu
- Department of Neuroscience & Physiology, Upstate Medical University, Syracuse, NY, 13210, USA
| | - Cynthia Shannon Weickert
- Schizophrenia Research Laboratory, Neuroscience Research Australia, Randwick, New South Wales, 2031, Australia; Discipline of Psychiatry & Mental Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, 2052, Australia; Department of Neuroscience & Physiology, Upstate Medical University, Syracuse, NY, 13210, USA
| | - Tertia D Purves-Tyson
- Preclinical Neuropsychiatry Laboratory, Neuroscience Research Australia, Randwick, New South Wales, 2031, Australia; Discipline of Psychiatry & Mental Health, Faculty of Medicine, University of New South Wales, Sydney, New South Wales, 2052, Australia.
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14
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Shchaslyvyi AY, Antonenko SV, Telegeev GD. Comprehensive Review of Chronic Stress Pathways and the Efficacy of Behavioral Stress Reduction Programs (BSRPs) in Managing Diseases. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2024; 21:1077. [PMID: 39200687 PMCID: PMC11353953 DOI: 10.3390/ijerph21081077] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2024] [Revised: 08/08/2024] [Accepted: 08/10/2024] [Indexed: 09/02/2024]
Abstract
The connection between chronic psychological stress and the onset of various diseases, including diabetes, HIV, cancer, and cardiovascular conditions, is well documented. This review synthesizes current research on the neurological, immune, hormonal, and genetic pathways through which stress influences disease progression, affecting multiple body systems: nervous, immune, cardiovascular, respiratory, reproductive, musculoskeletal, and integumentary. Central to this review is an evaluation of 16 Behavioral Stress Reduction Programs (BSRPs) across over 200 studies, assessing their effectiveness in mitigating stress-related health outcomes. While our findings suggest that BSRPs have the potential to enhance the effectiveness of medical therapies and reverse disease progression, the variability in study designs, sample sizes, and methodologies raises questions about the generalizability and robustness of these results. Future research should focus on long-term, large-scale studies with rigorous methodologies to validate the effectiveness of BSRPs.
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Affiliation(s)
- Aladdin Y. Shchaslyvyi
- Institute of Molecular Biology and Genetics, National Academy of Sciences of Ukraine, 150, Zabolotnogo Str., 03143 Kyiv, Ukraine; (S.V.A.); (G.D.T.)
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15
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Gan YL, Lin WJ, Fang YC, Tang CY, Lee YH, Jeng CJ. FKBP51 is involved in LPS-induced microglial activation via NF-κB signaling to mediate neuroinflammation. Life Sci 2024; 351:122867. [PMID: 38914303 DOI: 10.1016/j.lfs.2024.122867] [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: 04/27/2024] [Revised: 06/03/2024] [Accepted: 06/20/2024] [Indexed: 06/26/2024]
Abstract
AIMS FKBP5 encodes FKBP51, which has been implicated in stress-related psychiatric disorders, and its expression is often increased under chronic stress, contributing to mental dysfunctions. However, the precise role of FKBP51 in brain inflammation remains unclear. This study aimed to investigate the role of FKBP51 in microglia-mediated inflammatory responses in the central nervous system. MAIN METHODS We employed a peripheral lipopolysaccharide (LPS) administration model to compare microglial activation and cytokine gene expression between Fkbp5 knockout (Fkbp5-KO) and wild-type (WT) male mice. Additionally, we used both BV2 and primary microglia in vitro to examine how Fkbp5 deletion influenced inflammation-related pathways and microglial functions. KEY FINDINGS This study revealed that systemic LPS-induced microglial activation was significantly attenuated in Fkbp5-KO mice compared with WT mice. In Fkbp5-KO mice following the LPS challenge, there was a notable decrease in the expression of pro-inflammatory genes, coupled with an increase in the anti-inflammatory gene Arg1. Furthermore, Fkbp5 knockdown in BV2 microglial cells led to reduced expression of LPS-induced inflammatory markers, and targeted inhibition of NF-κB activation, while Akt signaling remained unaffected. Similar results were observed in Fkbp5-KO primary microglia, which exhibited not only decreased microglial activation but also a significant reduction in phagocytic activity in response to LPS stimulation. SIGNIFICANCE This study highlights the critical role of FKBP51 in LPS-induced microglial activation and neuroinflammation. It shows that reducing FKBP51 levels attenuates inflammation through NF-κB signaling in microglia. This suggests that FKBP51 is a potential target for alleviating neuroinflammation-induced stress responses.
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Affiliation(s)
- Yu-Ling Gan
- Institute of Anatomy and Cell Biology, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan; Department and Institute of Physiology, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan
| | - Wan-Jung Lin
- Institute of Anatomy and Cell Biology, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan; Department of Physiology, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Ya-Ching Fang
- Institute of Anatomy and Cell Biology, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan; Department of Physiology, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Chih-Yung Tang
- Department of Physiology, College of Medicine, National Taiwan University, Taipei 100, Taiwan
| | - Yi-Hsuan Lee
- Department and Institute of Physiology, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan; Brain Research Center, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.
| | - Chung-Jiuan Jeng
- Institute of Anatomy and Cell Biology, College of Medicine, National Yang Ming Chiao Tung University, Taipei 112, Taiwan; Brain Research Center, National Yang Ming Chiao Tung University, Taipei 112, Taiwan.
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16
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Knoll R, Helbig ET, Dahm K, Bolaji O, Hamm F, Dietrich O, van Uelft M, Müller S, Bonaguro L, Schulte-Schrepping J, Petrov L, Krämer B, Kraut M, Stubbemann P, Thibeault C, Brumhard S, Theis H, Hack G, De Domenico E, Nattermann J, Becker M, Beyer MD, Hillus D, Georg P, Loers C, Tiedemann J, Tober-Lau P, Lippert L, Millet Pascual-Leone B, Tacke F, Rohde G, Suttorp N, Witzenrath M, Saliba AE, Ulas T, Polansky JK, Sawitzki B, Sander LE, Schultze JL, Aschenbrenner AC, Kurth F. The life-saving benefit of dexamethasone in severe COVID-19 is linked to a reversal of monocyte dysregulation. Cell 2024; 187:4318-4335.e20. [PMID: 38964327 DOI: 10.1016/j.cell.2024.06.014] [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: 07/24/2023] [Revised: 02/27/2024] [Accepted: 06/10/2024] [Indexed: 07/06/2024]
Abstract
Dexamethasone is a life-saving treatment for severe COVID-19, yet its mechanism of action is unknown, and many patients deteriorate or die despite timely treatment initiation. Here, we identify dexamethasone treatment-induced cellular and molecular changes associated with improved survival in COVID-19 patients. We observed a reversal of transcriptional hallmark signatures in monocytes associated with severe COVID-19 and the induction of a monocyte substate characterized by the expression of glucocorticoid-response genes. These molecular responses to dexamethasone were detected in circulating and pulmonary monocytes, and they were directly linked to survival. Monocyte single-cell RNA sequencing (scRNA-seq)-derived signatures were enriched in whole blood transcriptomes of patients with fatal outcome in two independent cohorts, highlighting the potential for identifying non-responders refractory to dexamethasone. Our findings link the effects of dexamethasone to specific immunomodulation and reversal of monocyte dysregulation, and they highlight the potential of single-cell omics for monitoring in vivo target engagement of immunomodulatory drugs and for patient stratification for precision medicine approaches.
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Affiliation(s)
- Rainer Knoll
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany
| | - Elisa T Helbig
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Kilian Dahm
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; Translational Pediatrics, Department of Pediatrics, University Hospital Würzburg, Würzburg, Germany
| | - Olufemi Bolaji
- Institute of Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Frederik Hamm
- BIH Center for Regenerative Therapies (BCRT), Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Oliver Dietrich
- Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz-Center for Infection Research (HZI), Würzburg, Germany
| | - Martina van Uelft
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; Genomics & Immunoregulation, Life & Medical Sciences Institute, University of Bonn, Bonn, Germany
| | - Sophie Müller
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; Genomics & Immunoregulation, Life & Medical Sciences Institute, University of Bonn, Bonn, Germany; Department of Microbiology and Immunology, The University of Melbourne at the Peter Doherty Institute for Infection and Immunity, Melbourne, VIC, Australia
| | - Lorenzo Bonaguro
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE, University of Bonn, and West German Genome Center, Bonn, Germany
| | - Jonas Schulte-Schrepping
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE, University of Bonn, and West German Genome Center, Bonn, Germany
| | - Lev Petrov
- Institute of Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Benjamin Krämer
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany
| | - Michael Kraut
- PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE, University of Bonn, and West German Genome Center, Bonn, Germany
| | - Paula Stubbemann
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Charlotte Thibeault
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany; BIH Biomedical Innovation Academy, BIH Charité Clinician Scientist Program, Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Sophia Brumhard
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Heidi Theis
- PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE, University of Bonn, and West German Genome Center, Bonn, Germany
| | - Gudrun Hack
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany
| | - Elena De Domenico
- PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE, University of Bonn, and West German Genome Center, Bonn, Germany
| | - Jacob Nattermann
- Department of Internal Medicine I, University Hospital Bonn, Bonn, Germany
| | - Matthias Becker
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany
| | - Marc D Beyer
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE, University of Bonn, and West German Genome Center, Bonn, Germany; Immunogenomics & Neurodegeneration, Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany
| | - David Hillus
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Philipp Georg
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Constantin Loers
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Janina Tiedemann
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Pinkus Tober-Lau
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Lena Lippert
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Belén Millet Pascual-Leone
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Frank Tacke
- Department of Hepatology and Gastroenterology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Gernot Rohde
- Department of Respiratory Medicine, Medical Clinic I, Goethe-Universität Frankfurt am Main, Frankfurt, Germany; Biomedical Research in Endstage and Obstructive Lung Disease Hannover (BREATH), Member of the German Center for Lung Research (DZL), Hannover, Germany; CAPNETZ STIFTUNG, 30625 Hannover, Germany
| | - Norbert Suttorp
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany; CAPNETZ STIFTUNG, 30625 Hannover, Germany; German Center for Lung Research (DZL), Germany
| | - Martin Witzenrath
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany; CAPNETZ STIFTUNG, 30625 Hannover, Germany; German Center for Lung Research (DZL), Germany
| | - Antoine-Emmanuel Saliba
- Helmholtz Institute for RNA-based Infection Research (HIRI), Helmholtz-Center for Infection Research (HZI), Würzburg, Germany; Faculty of Medicine, Institute of Molecular Infection Biology (IMIB), University of Würzburg, Josef-Schneider-Str. 2, 97080 Würzburg, Germany
| | - Thomas Ulas
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; Genomics & Immunoregulation, Life & Medical Sciences Institute, University of Bonn, Bonn, Germany; PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE, University of Bonn, and West German Genome Center, Bonn, Germany
| | - Julia K Polansky
- BIH Center for Regenerative Therapies (BCRT), Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany; German Rheumatism Research Centre (DRFZ) Berlin, Berlin, Germany
| | - Birgit Sawitzki
- Institute of Medical Immunology, Charité - Universitätsmedizin Berlin, Berlin, Germany
| | - Leif E Sander
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany; BIH Center for Regenerative Therapies (BCRT), Berlin Institute of Health at Charité - Universitätsmedizin Berlin, Berlin, Germany; German Center for Lung Research (DZL), Germany
| | - Joachim L Schultze
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany; Genomics & Immunoregulation, Life & Medical Sciences Institute, University of Bonn, Bonn, Germany; PRECISE Platform for Single Cell Genomics and Epigenomics, DZNE, University of Bonn, and West German Genome Center, Bonn, Germany
| | - Anna C Aschenbrenner
- Systems Medicine, Deutsches Zentrum für Neurodegenerative Erkrankungen (DZNE), Bonn, Germany.
| | - Florian Kurth
- Department of Infectious Diseases and Critical Care Medicine, Charité - Universitätsmedizin Berlin, Berlin, Germany; German Center for Lung Research (DZL), Germany
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17
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Bergmans S, Noel NCL, Masin L, Harding EG, Krzywańska AM, De Schutter JD, Ayana R, Hu C, Arckens L, Ruzycki PA, MacDonald RB, Clark BS, Moons L. Age-related dysregulation of the retinal transcriptome in African turquoise killifish. Aging Cell 2024; 23:e14192. [PMID: 38742929 PMCID: PMC11320354 DOI: 10.1111/acel.14192] [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: 03/06/2024] [Revised: 04/19/2024] [Accepted: 04/22/2024] [Indexed: 05/16/2024] Open
Abstract
Age-related vision loss caused by retinal neurodegenerative pathologies is becoming more prevalent in our ageing society. To understand the physiological and molecular impact of ageing on retinal homeostasis, we used the short-lived African turquoise killifish, a model known to naturally develop central nervous system (CNS) ageing hallmarks and vision loss. Bulk and single-cell RNA-sequencing (scRNAseq) of three age groups (6-, 12-, and 18-week-old) identified transcriptional ageing fingerprints in the killifish retina, unveiling pathways also identified in the aged brain, including oxidative stress, gliosis, and inflammageing. These findings were comparable to observations in the ageing mouse retina. Additionally, transcriptional changes in genes related to retinal diseases, such as glaucoma and age-related macular degeneration, were observed. The cellular heterogeneity in the killifish retina was characterized, confirming the presence of all typical vertebrate retinal cell types. Data integration from age-matched samples between the bulk and scRNAseq experiments revealed a loss of cellular specificity in gene expression upon ageing, suggesting potential disruption in transcriptional homeostasis. Differential expression analysis within the identified cell types highlighted the role of glial/immune cells as important stress regulators during ageing. Our work emphasizes the value of the fast-ageing killifish in elucidating molecular signatures in age-associated retinal disease and vision decline. This study contributes to the understanding of how age-related changes in molecular pathways may impact CNS health, providing insights that may inform future therapeutic strategies for age-related pathologies.
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Affiliation(s)
- Steven Bergmans
- Department of Biology, Animal Physiology and Neurobiology Division, Neural Circuit Development & Regeneration Research GroupKU Leuven, Leuven Brain InstituteLeuvenBelgium
| | | | - Luca Masin
- Department of Biology, Animal Physiology and Neurobiology Division, Neural Circuit Development & Regeneration Research GroupKU Leuven, Leuven Brain InstituteLeuvenBelgium
| | - Ellen G. Harding
- John F Hardesty, MD Department of Ophthalmology and Visual SciencesWashington University School of MedicineSaint LouisMissouriUSA
| | | | - Julie D. De Schutter
- Department of Biology, Animal Physiology and Neurobiology Division, Neural Circuit Development & Regeneration Research GroupKU Leuven, Leuven Brain InstituteLeuvenBelgium
| | - Rajagopal Ayana
- Department of Biology, Animal Physiology and Neurobiology Section, Laboratory of Neuroplasticity and NeuroproteomicsKU Leuven, Leuven Brain InstituteLeuvenBelgium
| | - Chi‐Kuo Hu
- Department of Biochemistry and Cell BiologyStony Brook UniversityStony BrookUSA
| | - Lut Arckens
- Department of Biology, Animal Physiology and Neurobiology Section, Laboratory of Neuroplasticity and NeuroproteomicsKU Leuven, Leuven Brain InstituteLeuvenBelgium
| | - Philip A. Ruzycki
- John F Hardesty, MD Department of Ophthalmology and Visual SciencesWashington University School of MedicineSaint LouisMissouriUSA
- Department of GeneticsWashington University School of MedicineSaint LouisMissouriUSA
| | | | - Brian S. Clark
- John F Hardesty, MD Department of Ophthalmology and Visual SciencesWashington University School of MedicineSaint LouisMissouriUSA
- Department of Developmental BiologyWashington University School of MedicineSaint LouisMissouriUSA
- Center of Regenerative MedicineCenter of Regenerative Medicine, Washington University School of MedicineSaint LouisMissouriUSA
| | - Lieve Moons
- Department of Biology, Animal Physiology and Neurobiology Division, Neural Circuit Development & Regeneration Research GroupKU Leuven, Leuven Brain InstituteLeuvenBelgium
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18
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McNew SM, Taff CC, Vitousek MN. Manipulation of a social signal affects DNA methylation of a stress-related gene in a free-living bird. J Exp Biol 2024; 227:jeb246819. [PMID: 39022893 PMCID: PMC11418189 DOI: 10.1242/jeb.246819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2023] [Accepted: 07/02/2024] [Indexed: 07/20/2024]
Abstract
Social status directly affects the health of humans and other animals. Low status individuals receive more antagonistic encounters, have fewer supportive relationships and have worse health outcomes. However, the physiological and cellular processes that mediate the relationship between the social environment and health are incompletely known. Epigenetic regulation of the hypothalamic-pituitary-adrenal (HPA) axis, the neuroendocrine pathway that activates in response to stressors, may be one process that is sensitive to the social environment. Here, we experimentally manipulated plumage, a key social signal in female tree swallows (Tachycineta bicolor) and quantified methylation of four genes in the HPA axis before and after treatment. We found that dulling the white breast plumage affected methylation in one gene, CRHR1; however, the effect depended on the original brightness of the bird. Methylation in this gene was correlated with baseline corticosterone levels, suggesting that DNA methylation of CRHR1 helps regulate glucocorticoid production in this species. Methylation in two other genes, FKBP5 and GR, changed over the course of the experiment, independent of treatment. These results show that methylation of these genes is labile into adulthood and suggest that epigenetic regulation of the HPA axis could help birds respond to current environmental conditions.
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Affiliation(s)
- Sabrina M. McNew
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
- Cornell Lab of Ornithology, Cornell University, Ithaca, NY 14850, USA
- Department of Ecology & Evolutionary Biology, University of Arizona, Tucson, AZ 85719, USA
| | - Conor C. Taff
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
- Cornell Lab of Ornithology, Cornell University, Ithaca, NY 14850, USA
- Department of Biology, Colby College, Waterville, ME 04901, USA
| | - Maren N. Vitousek
- Department of Ecology and Evolutionary Biology, Cornell University, Ithaca, NY 14853, USA
- Cornell Lab of Ornithology, Cornell University, Ithaca, NY 14850, USA
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19
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Namiot ED, Smirnovová D, Sokolov AV, Chubarev VN, Tarasov VV, Schiöth HB. Depression clinical trials worldwide: a systematic analysis of the ICTRP and comparison with ClinicalTrials.gov. Transl Psychiatry 2024; 14:315. [PMID: 39085220 PMCID: PMC11291508 DOI: 10.1038/s41398-024-03031-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Revised: 07/16/2024] [Accepted: 07/18/2024] [Indexed: 08/02/2024] Open
Abstract
Major depressive disorder (MDD), commonly known as depression, affects over 300 million people worldwide as of 2018 and presents a wide range of clinical symptoms. The international clinical trials registry platform (ICTRP) introduced by WHO includes aggregated data from ClinicalTrials.gov and 17 other national registers, making it the largest clinical trial platform. Here we analysed data in ICTRP with the aim of providing comprehensive insights into clinical trials on depression. Applying a novel hidden duplicate identification method, 10,606 depression trials were identified in ICTRP, with ANZCTR being the largest non- ClinicalTrials.gov database at 1031 trials, followed by IRCT with 576 trials, ISRCTN with 501 trials, CHiCTR with 489 trials, and EUCTR with 351 trials. The top four most studied drugs, ketamine, sertraline, duloxetine, and fluoxetine, were consistent in both groups, but ClinicalTrials.gov had more trials for each drug compared to the non-ClinicalTrials.gov group. Out of 9229 interventional trials, 663 unique agents were identified, including approved drugs (74.5%), investigational drugs (23.2%), withdrawn drugs (1.8%), nutraceuticals (0.3%), and illicit substances (0.2%). Both ClinicalTrials.gov and non-ClinicalTrials.gov databases revealed that the largest categories were antidepressive agents (1172 in ClinicalTrials.gov and 659 in non-ClinicalTrials.gov) and nutrients, amino acids, and chemical elements (250 in ClinicalTrials.gov and 659 in non-ClinicalTrials.gov), indicating a focus on alternative treatments involving dietary supplements and nutrients. Additionally, 26 investigational antidepressive agents targeting 16 different drug targets were identified, with buprenorphine (opioid agonist), saredutant (NK2 antagonist), and seltorexant (OX2 antagonist) being the most frequently studied. This analysis addresses 40 approved drugs for depression treatment including new drug classes like GABA modulators and NMDA antagonists that are offering new prospects for treating MDD, including drug-resistant depression and postpartum depression subtypes.
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Affiliation(s)
- Eugenia D Namiot
- Department of Surgical Science, Functional Pharmacology and Neuroscience, University of Uppsala, Uppsala, Sweden
| | - Diana Smirnovová
- Department of Surgical Science, Functional Pharmacology and Neuroscience, University of Uppsala, Uppsala, Sweden
| | - Aleksandr V Sokolov
- Department of Surgical Science, Functional Pharmacology and Neuroscience, University of Uppsala, Uppsala, Sweden
| | - Vladimir N Chubarev
- Advanced Molecular Technologies, Limited Liability Company (LLC), Moscow, Russia
| | - Vadim V Tarasov
- Advanced Molecular Technologies, Limited Liability Company (LLC), Moscow, Russia
| | - Helgi B Schiöth
- Department of Surgical Science, Functional Pharmacology and Neuroscience, University of Uppsala, Uppsala, Sweden.
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20
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Choi MK, Cook A, Mungikar K, Eachus H, Tochwin A, Linke M, Gerber S, Ryu S. Exposure to elevated glucocorticoid during development primes altered transcriptional responses to acute stress in adulthood. iScience 2024; 27:110160. [PMID: 38989456 PMCID: PMC11233911 DOI: 10.1016/j.isci.2024.110160] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2024] [Revised: 05/02/2024] [Accepted: 05/29/2024] [Indexed: 07/12/2024] Open
Abstract
Early life stress (ELS) is a major risk factor for developing psychiatric disorders, with glucocorticoids (GCs) implicated in mediating its effects in shaping adult phenotypes. In this process, exposure to high levels of developmental GC (hdGC) is thought to induce molecular changes that prime differential adult responses. However, identities of molecules targeted by hdGC exposure are not completely known. Here, we describe lifelong molecular consequences of hdGC exposure using a newly developed zebrafish double-hit stress model, which shows altered behaviors and stress hypersensitivity in adulthood. We identify a set of primed genes displaying altered expression only upon acute stress in hdGC-exposed adult fish brains. Interestingly, this gene set is enriched in risk factors for psychiatric disorders in humans. Lastly, we identify altered epigenetic regulatory elements following hdGC exposure. Thus, our study provides comprehensive datasets delineating potential molecular targets mediating the impact of hdGC exposure on adult responses.
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Affiliation(s)
- Min-Kyeung Choi
- Living Systems Institute & Department of Clinical and Biomedical Sciences, University of Exeter, Stocker Road, EX4 4QD Exeter, UK
| | - Alexander Cook
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University Mainz, Langenbeckstraße 1, 55131 Mainz, Germany
| | - Kanak Mungikar
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University Mainz, Langenbeckstraße 1, 55131 Mainz, Germany
| | - Helen Eachus
- Living Systems Institute & Department of Clinical and Biomedical Sciences, University of Exeter, Stocker Road, EX4 4QD Exeter, UK
| | - Anna Tochwin
- Living Systems Institute & Department of Clinical and Biomedical Sciences, University of Exeter, Stocker Road, EX4 4QD Exeter, UK
| | - Matthias Linke
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University Mainz, Langenbeckstraße 1, 55131 Mainz, Germany
| | - Susanne Gerber
- Institute of Human Genetics, University Medical Center, Johannes Gutenberg University Mainz, Langenbeckstraße 1, 55131 Mainz, Germany
| | - Soojin Ryu
- Living Systems Institute & Department of Clinical and Biomedical Sciences, University of Exeter, Stocker Road, EX4 4QD Exeter, UK
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21
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Nagpal J, Eachus H, Lityagina O, Ryu S. Optogenetic induction of chronic glucocorticoid exposure in early-life leads to blunted stress-response in larval zebrafish. Eur J Neurosci 2024; 59:3134-3146. [PMID: 38602078 DOI: 10.1111/ejn.16301] [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: 04/01/2023] [Revised: 11/29/2023] [Accepted: 02/19/2024] [Indexed: 04/12/2024]
Abstract
Early life stress (ELS) exposure alters stress susceptibility in later life and affects vulnerability to stress-related disorders, but how ELS changes the long-lasting responsiveness of the stress system is not well understood. Zebrafish provides an opportunity to study conserved mechanisms underlying the development and function of the stress response that is regulated largely by the neuroendocrine hypothalamus-pituitary-adrenal/interrenal (HPA/I) axis, with glucocorticoids (GC) as the final effector. In this study, we established a method to chronically elevate endogenous GC levels during early life in larval zebrafish. To this end, we employed an optogenetic actuator, beggiatoa photoactivated adenylyl cyclase, specifically expressed in the interrenal cells of zebrafish and demonstrate that its chronic activation leads to hypercortisolaemia and dampens the acute-stress evoked cortisol levels, across a variety of stressor modalities during early life. This blunting of stress-response was conserved in ontogeny at a later developmental stage. Furthermore, we observe a strong reduction of proopiomelanocortin (pomc)-expression in the pituitary as well as upregulation of fkbp5 gene expression. Going forward, we propose that this model can be leveraged to tease apart the mechanisms underlying developmental programming of the HPA/I axis by early-life GC exposure and its implications for vulnerability and resilience to stress in adulthood.
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Affiliation(s)
- Jatin Nagpal
- University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany
- APC Microbiome Ireland and School of Pharmacy and Department of Pharmacology and Therapeutics, University College Cork, Cork, Ireland
| | - Helen Eachus
- Living Systems Institute & Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
| | - Olga Lityagina
- University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany
- Medical Faculty Mannheim, Heidelberg University, Mannheim, Germany
| | - Soojin Ryu
- University Medical Center, Johannes Gutenberg University Mainz, Mainz, Germany
- Living Systems Institute & Department of Clinical and Biomedical Sciences, University of Exeter, Exeter, UK
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22
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Schoen AN, Weinrauch AM, Bouyoucos IA, Treberg JR, Gary Anderson W. Hormonal effects on glucose and ketone metabolism in a perfused liver of an elasmobranch, the North Pacific spiny dogfish, Squalus suckleyi. Gen Comp Endocrinol 2024; 352:114514. [PMID: 38582175 DOI: 10.1016/j.ygcen.2024.114514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/25/2023] [Revised: 02/26/2024] [Accepted: 04/03/2024] [Indexed: 04/08/2024]
Abstract
Hormonal influence on hepatic function is a critical aspect of whole-body energy balance in vertebrates. Catecholamines and corticosteroids both influence hepatic energy balance via metabolite mobilization through glycogenolysis and gluconeogenesis. Elasmobranchs have a metabolic organization that appears to prioritize the mobilization of hepatic lipid as ketone bodies (e.g. 3-hydroxybutyrate [3-HB]), which adds complexity in determining the hormonal impact on hepatic energy balance in this taxon. Here, a liver perfusion was used to investigate catecholamine (epinephrine [E]) and corticosteroid (corticosterone [B] and 11-deoxycorticosterone [DOC]) effects on the regulation of hepatic glucose and 3-HB balance in the North Pacific Spiny dogfish, Squalus suckleyi. Further, hepatic enzyme activity involved in ketogenesis (3-hydroxybutyrate dehydrogenase), glycogenolysis (glycogen phosphorylase), and gluconeogenesis (phosphoenolpyruvate carboxykinase) were assessed in perfused liver tissue following hormonal application to discern effects on hepatic energy flux. mRNA transcript abundance key transporters of glucose (glut1 and glut4) and ketones (mct1 and mct2) and glucocorticoid function (gr, pepck, fkbp5, and 11βhsd2) were also measured to investigate putative cellular components involved in hepatic responses. There were no changes in the arterial-venous difference of either metabolite in all hormone perfusions. However, perfusion with DOC increased gr transcript abundance and decreased flow rate of perfusions, suggesting a regulatory role for this corticosteroid. Phosphoenolpyruvate carboxykinase activity increased following all hormone treatments, which may suggest gluconeogenic function; E also increased 3-hydroxybutyrate dehydrogenase activity, suggesting a function in ketogenesis, and decreased pepck and fkbp5 transcript abundance, potentially showing some metabolic regulation. Overall, we demonstrate hormonal control of hepatic energy balance using liver perfusions at various levels of biological organization in an elasmobranch.
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Affiliation(s)
- Alexandra N Schoen
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; Bamfield Marine Sciences Centre, Bamfield, BC V0R 1B0, Canada.
| | - Alyssa M Weinrauch
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; Bamfield Marine Sciences Centre, Bamfield, BC V0R 1B0, Canada
| | - Ian A Bouyoucos
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; Bamfield Marine Sciences Centre, Bamfield, BC V0R 1B0, Canada
| | - Jason R Treberg
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada
| | - W Gary Anderson
- Department of Biological Sciences, University of Manitoba, Winnipeg, MB R3T 2N2, Canada; Bamfield Marine Sciences Centre, Bamfield, BC V0R 1B0, Canada
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23
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Szczesny B, Boorgula MP, Chavan S, Campbell M, Johnson RK, Kammers K, Thompson EE, Cox MS, Shankar G, Cox C, Morin A, Lorizio W, Daya M, Kelada SNP, Beaty TH, Doumatey AP, Cruz AA, Watson H, Naureckas ET, Giles BL, Arinola GA, Sogaolu O, Falade AG, Hansel NN, Yang IV, Olopade CO, Rotimi CN, Landis RC, Figueiredo CA, Altman MC, Kenny E, Ruczinski I, Liu AH, Ober C, Taub MA, Barnes KC, Mathias RA. Multi-omics in nasal epithelium reveals three axes of dysregulation for asthma risk in the African Diaspora populations. Nat Commun 2024; 15:4546. [PMID: 38806494 PMCID: PMC11133339 DOI: 10.1038/s41467-024-48507-7] [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: 05/18/2023] [Accepted: 05/02/2024] [Indexed: 05/30/2024] Open
Abstract
Asthma has striking disparities across ancestral groups, but the molecular underpinning of these differences is poorly understood and minimally studied. A goal of the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA) is to understand multi-omic signatures of asthma focusing on populations of African ancestry. RNASeq and DNA methylation data are generated from nasal epithelium including cases (current asthma, N = 253) and controls (never-asthma, N = 283) from 7 different geographic sites to identify differentially expressed genes (DEGs) and gene networks. We identify 389 DEGs; the top DEG, FN1, was downregulated in cases (q = 3.26 × 10-9) and encodes fibronectin which plays a role in wound healing. The top three gene expression modules implicate networks related to immune response (CEACAM5; p = 9.62 × 10-16 and CPA3; p = 2.39 × 10-14) and wound healing (FN1; p = 7.63 × 10-9). Multi-omic analysis identifies FKBP5, a co-chaperone of glucocorticoid receptor signaling known to be involved in drug response in asthma, where the association between nasal epithelium gene expression is likely regulated by methylation and is associated with increased use of inhaled corticosteroids. This work reveals molecular dysregulation on three axes - increased Th2 inflammation, decreased capacity for wound healing, and impaired drug response - that may play a critical role in asthma within the African Diaspora.
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Affiliation(s)
- Brooke Szczesny
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Meher Preethi Boorgula
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Sameer Chavan
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Monica Campbell
- Department of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Randi K Johnson
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
- Quantitative Sciences Division, Department of Oncology, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Kai Kammers
- Departments of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Emma E Thompson
- Division of Allergy and Infectious Diseases, Dept of Medicine, University of Washington, Seattle, WA, USA
| | - Madison S Cox
- Division of Allergy and Infectious Diseases, Dept of Medicine, University of Washington, Seattle, WA, USA
| | - Gautam Shankar
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Corey Cox
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Andréanne Morin
- Departments of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Wendy Lorizio
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Michelle Daya
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Samir N P Kelada
- Department of Genetics, University of North Carolina, Chapel Hill, NC, USA
- Marsico Lung Institute, University of North Carolina, Chapel Hill, NC, USA
| | - Terri H Beaty
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Ayo P Doumatey
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - Alvaro A Cruz
- Fundacao ProAR and Federal University of Bahia, Salvador, Bahia, Brazil
| | - Harold Watson
- Faculty of Medical Sciences, The University of the West Indies, Queen Elizabeth Hospital, St. Michael, Bridgetown, Barbados
| | | | - B Louise Giles
- Departments of Pediatrics, University of Chicago, Chicago, IL, USA
| | - Ganiyu A Arinola
- Department of Immunology, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Olumide Sogaolu
- Department of Medicine, College of Medicine, University of Ibadan, Ibadan, Nigeria
| | - Adegoke G Falade
- Department of Pediatrics, University of Ibadan, and University College Hospital, Ibadan, Nigeria
| | - Nadia N Hansel
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
| | - Ivana V Yang
- Departments of Biomedical Informatics and Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | | | - Charles N Rotimi
- Center for Research on Genomics and Global Health, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA
| | - R Clive Landis
- Edmund Cohen Laboratory for Vascular Research, George Alleyne Chronic Disease Research Centre, Caribbean Institute for Health Research, The University of the West Indies, Cave Hill Campus, Wanstead, Barbados
| | - Camila A Figueiredo
- Federal University of Bahia and Funda. Program for Control of Asthma in Bahia (ProAR), Salvador, Brazil
- Instituto de Ciências de Saúde, Universidade Federal da Bahia, Salvador, Brazil
| | - Matthew C Altman
- Systems Immunology Program, Benaroya Research Institute, Seattle, WA, 98101, USA
- Division of Allergy and Infectious Diseases, Department of Medicine, University of Washington, Seattle, WA, 98109, USA
| | - Eimear Kenny
- Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Ingo Ruczinski
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Andrew H Liu
- Department of Pediatrics, Childrens Hospital Colorado and University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA
| | - Carole Ober
- Departments of Human Genetics, University of Chicago, Chicago, IL, USA
| | - Margaret A Taub
- Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Kathleen C Barnes
- Department of Medicine, University of Colorado Denver, Anschutz Medical Campus, Aurora, CO, USA.
| | - Rasika A Mathias
- Department of Medicine, Johns Hopkins University, Baltimore, MD, USA.
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24
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Emani PS, Liu JJ, Clarke D, Jensen M, Warrell J, Gupta C, Meng R, Lee CY, Xu S, Dursun C, Lou S, Chen Y, Chu Z, Galeev T, Hwang A, Li Y, Ni P, Zhou X, Bakken TE, Bendl J, Bicks L, Chatterjee T, Cheng L, Cheng Y, Dai Y, Duan Z, Flaherty M, Fullard JF, Gancz M, Garrido-Martín D, Gaynor-Gillett S, Grundman J, Hawken N, Henry E, Hoffman GE, Huang A, Jiang Y, Jin T, Jorstad NL, Kawaguchi R, Khullar S, Liu J, Liu J, Liu S, Ma S, Margolis M, Mazariegos S, Moore J, Moran JR, Nguyen E, Phalke N, Pjanic M, Pratt H, Quintero D, Rajagopalan AS, Riesenmy TR, Shedd N, Shi M, Spector M, Terwilliger R, Travaglini KJ, Wamsley B, Wang G, Xia Y, Xiao S, Yang AC, Zheng S, Gandal MJ, Lee D, Lein ES, Roussos P, Sestan N, Weng Z, White KP, Won H, Girgenti MJ, Zhang J, Wang D, Geschwind D, Gerstein M. Single-cell genomics and regulatory networks for 388 human brains. Science 2024; 384:eadi5199. [PMID: 38781369 PMCID: PMC11365579 DOI: 10.1126/science.adi5199] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2023] [Accepted: 04/05/2024] [Indexed: 05/25/2024]
Abstract
Single-cell genomics is a powerful tool for studying heterogeneous tissues such as the brain. Yet little is understood about how genetic variants influence cell-level gene expression. Addressing this, we uniformly processed single-nuclei, multiomics datasets into a resource comprising >2.8 million nuclei from the prefrontal cortex across 388 individuals. For 28 cell types, we assessed population-level variation in expression and chromatin across gene families and drug targets. We identified >550,000 cell type-specific regulatory elements and >1.4 million single-cell expression quantitative trait loci, which we used to build cell-type regulatory and cell-to-cell communication networks. These networks manifest cellular changes in aging and neuropsychiatric disorders. We further constructed an integrative model accurately imputing single-cell expression and simulating perturbations; the model prioritized ~250 disease-risk genes and drug targets with associated cell types.
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Affiliation(s)
- Prashant S Emani
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Jason J Liu
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Declan Clarke
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Matthew Jensen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Jonathan Warrell
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Chirag Gupta
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Ran Meng
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Che Yu Lee
- Department of Computer Science, University of California, Irvine, CA 92697, USA
| | - Siwei Xu
- Department of Computer Science, University of California, Irvine, CA 92697, USA
| | - Cagatay Dursun
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Shaoke Lou
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Yuhang Chen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Zhiyuan Chu
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
| | - Timur Galeev
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Ahyeon Hwang
- Department of Computer Science, University of California, Irvine, CA 92697, USA
- Mathematical, Computational and Systems Biology, University of California, Irvine, CA 92697, USA
| | - Yunyang Li
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
- Department of Computer Science, Yale University, New Haven, CT 06520, USA
| | - Pengyu Ni
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Xiao Zhou
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | | | - Jaroslav Bendl
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Lucy Bicks
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Tanima Chatterjee
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | | | - Yuyan Cheng
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
- Department of Ophthalmology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yi Dai
- Department of Computer Science, University of California, Irvine, CA 92697, USA
| | - Ziheng Duan
- Department of Computer Science, University of California, Irvine, CA 92697, USA
| | | | - John F Fullard
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Michael Gancz
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Diego Garrido-Martín
- Department of Genetics, Microbiology and Statistics, Universitat de Barcelona, Barcelona 08028, Spain
| | - Sophia Gaynor-Gillett
- Tempus Labs, Chicago, IL 60654, USA
- Department of Biology, Cornell College, Mount Vernon, IA 52314, USA
| | - Jennifer Grundman
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Natalie Hawken
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Ella Henry
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Gabriel E Hoffman
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Mental Illness Research Education and Clinical Center, James J. Peters VA Medical Center, Bronx, NY 10468, USA
- Center for Precision Medicine and Translational Therapeutics, James J. Peters VA Medical Center, Bronx, NY 10468, USA
| | - Ao Huang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
| | - Yunzhe Jiang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Ting Jin
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | | | - Riki Kawaguchi
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
- Center for Autism Research and Treatment, Semel Institute, University of California, Los Angeles, CA 90095, USA
| | - Saniya Khullar
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Jianyin Liu
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Junhao Liu
- Department of Computer Science, University of California, Irvine, CA 92697, USA
| | - Shuang Liu
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
| | - Shaojie Ma
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai 200031, China
| | | | - Samantha Mazariegos
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Jill Moore
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA 01605, USA
| | | | - Eric Nguyen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Nishigandha Phalke
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA 01605, USA
| | - Milos Pjanic
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Henry Pratt
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA 01605, USA
| | - Diana Quintero
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | | | - Tiernon R Riesenmy
- Department of Statistics and Data Science, Yale University, New Haven, CT 06520, USA
| | - Nicole Shedd
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA 01605, USA
| | | | | | - Rosemarie Terwilliger
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06520, USA
| | | | - Brie Wamsley
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Gaoyuan Wang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Yan Xia
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Shaohua Xiao
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Andrew C Yang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Suchen Zheng
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
| | - Michael J Gandal
- Interdepartmental Program in Bioinformatics, University of California, Los Angeles, Los Angeles CA, 90095, USA
- Department of Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Donghoon Lee
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA 98109, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA 98195, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA 98195, USA
| | - Panos Roussos
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
- Mental Illness Research Education and Clinical Center, James J. Peters VA Medical Center, Bronx, NY 10468, USA
- Center for Precision Medicine and Translational Therapeutics, James J. Peters VA Medical Center, Bronx, NY 10468, USA
| | - Nenad Sestan
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA
| | - Zhiping Weng
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA 01605, USA
| | - Kevin P White
- Yong Loo Lin School of Medicine, National University of Singapore, 117597 Singapore
| | - Hyejung Won
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA
| | - Matthew J Girgenti
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT 06520, USA
- Wu Tsai Institute, Yale University, New Haven, CT 06520, USA
- Clinical Neuroscience Division, National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, CT 06516, USA
| | - Jing Zhang
- Department of Computer Science, University of California, Irvine, CA 92697, USA
| | - Daifeng Wang
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI 53705, USA
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI 53706, USA
| | - Daniel Geschwind
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
- Center for Autism Research and Treatment, Semel Institute, University of California, Los Angeles, CA 90095, USA
- Department of Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA 90095, USA
- Institute for Precision Health, David Geffen School of Medicine, University of California, Los Angeles, CA 90095, USA
| | - Mark Gerstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA
- Department of Computer Science, Yale University, New Haven, CT 06520, USA
- Department of Statistics and Data Science, Yale University, New Haven, CT 06520, USA
- Department of Biomedical Informatics & Data Science, Yale University, New Haven, CT 06520, USA
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25
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Lin K, Sunko D, Wang J, Yang J, Parsey RV, DeLorenzo C. Investigating the relationship between hippocampus/dentate gyrus volume and hypothalamus metabolism in participants with major depressive disorder. Sci Rep 2024; 14:10622. [PMID: 38724691 PMCID: PMC11082185 DOI: 10.1038/s41598-024-61519-z] [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: 12/31/2023] [Accepted: 05/07/2024] [Indexed: 05/12/2024] Open
Abstract
Reduced hippocampal volume occurs in major depressive disorder (MDD), potentially due to elevated glucocorticoids from an overactivated hypothalamus-pituitary-adrenal (HPA) axis. To examine this in humans, hippocampal volume and hypothalamus (HPA axis) metabolism was quantified in participants with MDD before and after antidepressant treatment. 65 participants (n = 24 males, n = 41 females) with MDD were treated in a double-blind, randomized clinical trial of escitalopram. Participants received simultaneous positron emission tomography (PET)/magnetic resonance imaging (MRI) before and after treatment. Linear mixed models examined the relationship between hippocampus/dentate gyrus volume and hypothalamus metabolism. Chi-squared tests and multivariable logistic regression examined the association between hippocampus/dentate gyrus volume change direction and hypothalamus activity change direction with treatment. Multiple linear regression compared these changes between remitter and non-remitter groups. Covariates included age, sex, and treatment type. No significant linear association was found between hippocampus/dentate gyrus volume and hypothalamus metabolism. 62% (38 of 61) of participants experienced a decrease in hypothalamus metabolism, 43% (27 of 63) of participants demonstrated an increase in hippocampus size (51% [32 of 63] for the dentate gyrus) following treatment. No significant association was found between change in hypothalamus activity and change in hippocampus/dentate gyrus volume, and this association did not vary by sex, medication, or remission status. As this multimodal study, in a cohort of participants on standardized treatment, did not find an association between hypothalamus metabolism and hippocampal volume, it supports a more complex pathway between hippocampus neurogenesis and hypothalamus metabolism changes in response to treatment.
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Affiliation(s)
| | | | - Junying Wang
- Department of Applied Mathematics and Statistics, Stony Brook University, New York, NY, USA
| | - Jie Yang
- Department of Family, Population & Preventive Medicine, Stony Brook University, New York, NY, USA
| | - Ramin V Parsey
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA
| | - Christine DeLorenzo
- Department of Psychiatry and Behavioral Health, Stony Brook University, Stony Brook, NY, USA.
- Department of Biomedical Engineering, Stony Brook University, Stony Brook, NY, USA.
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26
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Agam G, Atawna B, Damri O, Azab AN. The Role of FKBPs in Complex Disorders: Neuropsychiatric Diseases, Cancer, and Type 2 Diabetes Mellitus. Cells 2024; 13:801. [PMID: 38786025 PMCID: PMC11119362 DOI: 10.3390/cells13100801] [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: 03/04/2024] [Revised: 04/30/2024] [Accepted: 05/02/2024] [Indexed: 05/25/2024] Open
Abstract
Stress is a common denominator of complex disorders and the FK-506 binding protein (FKBP)51 plays a central role in stress. Hence, it is not surprising that multiple studies imply the involvement of the FKBP51 protein and/or its coding gene, FKBP5, in complex disorders. This review summarizes such reports concentrating on three disorder clusters-neuropsychiatric, cancer, and type 2 diabetes mellitus (T2DM). We also attempt to point to potential mechanisms suggested to mediate the effect of FKBP5/FKBP51 on these disorders. Neuropsychiatric diseases considered in this paper include (i) Huntington's disease for which increased autophagic cellular clearance mechanisms related to decreased FKBP51 protein levels or activity is discussed, Alzheimer's disease for which increased FKBP51 activity has been shown to induce Tau phosphorylation and aggregation, and Parkinson's disease in the context of which FKBP12 is mentioned; and (ii) mental disorders, for which significant association with the single nucleotide polymorphism (SNP) rs1360780 of FKBP5 intron 7 along with decreased DNA methylation were revealed. Since cancer is a large group of diseases that can start in almost any organ or tissue of the body, FKBP51's role depends on the tissue type and differences among pathways expressed in those tumors. The FKBP51-heat-shock protein-(Hsp)90-p23 super-chaperone complex might function as an oncogene or as a tumor suppressor by downregulating the serine/threonine protein kinase (AKt) pathway. In T2DM, two potential pathways for the involvement of FKBP51 are highlighted as affecting the pathogenesis of the disease-the peroxisome proliferator-activated receptor-γ (PPARγ) and AKt.
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Affiliation(s)
- Galila Agam
- Department of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, The Zlotowski Center for Neuroscience and Zelman Center—The School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel; (B.A.); (O.D.)
| | - Bayan Atawna
- Department of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, The Zlotowski Center for Neuroscience and Zelman Center—The School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel; (B.A.); (O.D.)
| | - Odeya Damri
- Department of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, The Zlotowski Center for Neuroscience and Zelman Center—The School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel; (B.A.); (O.D.)
| | - Abed N. Azab
- Department of Clinical Biochemistry and Pharmacology, Faculty of Health Sciences, The Zlotowski Center for Neuroscience and Zelman Center—The School of Brain Sciences and Cognition, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel; (B.A.); (O.D.)
- Department of Nursing, School for Community Health Professions, Faculty of Health Sciences, Ben-Gurion University of the Negev, Beer-Sheva 8410501, Israel
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27
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Yusupov N, Roeh S, Sotillos Elliott L, Chang S, Loganathan S, Urbina-Treviño L, Fröhlich AS, Sauer S, Ködel M, Matosin N, Czamara D, Deussing JM, Binder EB. DNA methylation patterns of FKBP5 regulatory regions in brain and blood of humanized mice and humans. Mol Psychiatry 2024; 29:1510-1520. [PMID: 38317011 PMCID: PMC11189813 DOI: 10.1038/s41380-024-02430-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 12/19/2023] [Accepted: 01/11/2024] [Indexed: 02/07/2024]
Abstract
Humanized mouse models can be used to explore human gene regulatory elements (REs), which frequently lie in non-coding and less conserved genomic regions. Epigenetic modifications of gene REs, also in the context of gene x environment interactions, have not yet been explored in humanized mouse models. We applied high-accuracy measurement of DNA methylation (DNAm) via targeted bisulfite sequencing (HAM-TBS) to investigate DNAm in three tissues/brain regions (blood, prefrontal cortex and hippocampus) of mice carrying the human FK506-binding protein 5 (FKBP5) gene, an important candidate gene associated with stress-related psychiatric disorders. We explored DNAm in three functional intronic glucocorticoid-responsive elements (at introns 2, 5, and 7) of FKBP5 at baseline, in cases of differing genotype (rs1360780 single nucleotide polymorphism), and following application of the synthetic glucocorticoid dexamethasone. We compared DNAm patterns in the humanized mouse (N = 58) to those in human peripheral blood (N = 447 and N = 89) and human postmortem brain prefrontal cortex (N = 86). Overall, DNAm patterns in the humanized mouse model seem to recapitulate DNAm patterns observed in human tissue. At baseline, this was to a higher extent in brain tissue. The animal model also recapitulated effects of dexamethasone on DNAm, especially in peripheral blood and to a lesser extent effects of genotype on DNAm. The humanized mouse model could thus assist in reverse translation of human findings in psychiatry that involve genetic and epigenetic regulation in non-coding elements.
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Affiliation(s)
- Natan Yusupov
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Simone Roeh
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
| | - Laura Sotillos Elliott
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Simon Chang
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Srivaishnavi Loganathan
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | | | - Anna S Fröhlich
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
- International Max Planck Research School for Translational Psychiatry (IMPRS-TP), Munich, Germany
| | - Susann Sauer
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
| | - Maik Ködel
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
| | - Natalie Matosin
- School of Medical Sciences, Faculty of Medicine and Health, University of Sydney, Sydney, NSW, Australia
| | - Darina Czamara
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany
| | - Jan M Deussing
- Molecular Neurogenetics, Max Planck Institute of Psychiatry, Munich, Germany
| | - Elisabeth B Binder
- Department Genes and Environment, Max Planck Institute of Psychiatry, Munich, Germany.
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28
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Zhang J, Gao L, Yang GL, Kong DZ. The effect of single nucleotide polymorphisms on depression in combination with coronary diseases: a systematic review and meta-analysis. Front Endocrinol (Lausanne) 2024; 15:1369676. [PMID: 38745947 PMCID: PMC11091366 DOI: 10.3389/fendo.2024.1369676] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 04/03/2024] [Indexed: 05/16/2024] Open
Abstract
Background Depression and coronary heart disease (CHD) have common risk mechanisms. Common single nucleotide polymorphisms (SNPs) may be associated with the risk of depression combined with coronary heart disease. Methods This study was designed according to the PRISMA-P guidelines. We will include case-control studies and cohort studies investigating the relationship between gene SNPs and depression and coronary heart disease comorbidities. The Newcastle-Ottawa Scale (NOS) will be used to assess the risk of bias. When measuring dichotomous outcomes, we will use the odds ratio (OR) and 95% confidence interval (95%CIs) in a case-control study. Five genetic models (allele model, homozygous model, co-dominant model, dominant model, and recessive model) will be evaluated for each included study. Subgroup analysis by ethnicity will be performed. If necessary, post hoc analysis will be made according to different types. Results A total of 13 studies were included in this study, and the types of genes included are FKBP5 and SGK1 genes that act on glucocorticoid; miR-146a, IL-4-589, IL-6-174, TNF-α-308, CRP-717 genes that act on inflammatory mechanisms; eNOS genes from endothelial cells; HSP70 genes that act on the autoimmune response; ACE2 and MAS1 genes that act to mediate Ang(1-7) in the RAS system; 5-HTTLPR gene responsible for the transport of serotonin 5-HT and neurotrophic factor BDNF gene. There were three studies on 5-HTTLPR and BDNF genes, respectively, while there was only one study targeting FKBP5, SGK1, miR-146a, IL-4-589, IL-6-174, TNF-alpha-308, CRP-717, eNOS, HSP70, ACE2, and MAS1 genes. We did not perform a meta-analysis for genes reported in a single study, and meta-analysis was performed separately for studies exploring the 5-HTTLPR and BDNF genes. The results showed that for the 5-HTTLPR gene, there was a statistically significant association between 5-HTTLPR gene polymorphisms and depression in combination with coronary diseases (CHD-D) under the co-dominant model (LS vs LL: OR 1.76, 95%CI 1.20-2.59; SS vs LL: OR 2.80, 95%CI 1.45 to 5.41), the dominant model (LS+SS vs LL: OR 2.06, 95%CI 1.44 to 2.96), and the homozygous model (SS vs LL: OR 2.80 95%CI 1.45 to 5.5.41) were statistically significant for CHD-D, demonstrating that polymorphisms in the 5-HTTLPR gene are associated with the development of CHD-D and that the S allele in the 5-HTTLPR gene is likely to be a risk factor for CHD-D. For the BDNF gene, there were no significant differences between one of the co-dominant gene models (AA vs GG: OR 6.63, 95%CI 1.44 to 30.64), the homozygous gene model (AA vs GG: OR 6.63,95% CI 1.44 to 30.64), the dominant gene model (GA+AA vs GG: OR4.29, 95%CI 1.05 to 17.45), recessive gene model (AA vs GG+GA: OR 2.71, 95%CI 1.16 to 6.31), and allele model (A vs G: OR 2.59, 95%CI 1.18 to 5.67) were statistically significant for CHD-D, demonstrating that BDNFrs6265 gene polymorphisms are associated with the CHD-D development and that the A allele in the BDNFrs6265 gene is likely to be a risk factor for CHD-D. We analyzed the allele frequencies of SNPs reported in a single study and found that the SNPs in the microRNA146a gene rs2910164, the SNPs in the ACE2 gene rs2285666 and the SNPs in the SGK1 gene rs1743963 and rs1763509 were risk factors for the development of CHD-D. We performed a subgroup analysis of three studies involving the BDNFrs6265 gene. The results showed that European populations were more at risk of developing CHD-D than Asian populations in both dominant model (GA+AA vs GG: OR 10.47, 95%CI 3.53 to 31.08) and co-dominant model (GA vs GG: OR 6.40, 95%CI 1.98 to 20.73), with statistically significant differences. In contrast, the studies involving the 5-HTTLPR gene were all Asian populations, so subgroup analyses were not performed. We performed sensitivity analyses of studies exploring the 5-HTTLPR and BDNF rs6265 genes. The results showed that the results of the allele model, the dominant model, the recessive model, the homozygous model and the co-dominant model for both 5-HTTLPR and BDNF rs6265 genes were stable. Due to the limited number of studies of the 5-HTTLPR and BDNF genes, it was not possible to determine the symmetry of the funnel plot using Begg's funnel plot and Egger's test. Therefore, we did not assess publication bias. Discussion SNPs of the microRNA146a gene at rs2910164, the ACE2 gene at the rs2285666 and the SGK1 gene at rs1743963 and rs1763509, and the SNPs at the 5-HTTLPR and BDNF gene loci are associated with the onset of comorbid depression in coronary heart disease. We recommend that future research focus on studying SNPs' impact on comorbid depression in coronary heart disease, specifically targeting the 5-HTTLPR and BDNF gene at rs6265. Systematic review registration https://www.crd.york.ac.uk/prospero/, identifier CRD42021229371.
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Affiliation(s)
| | | | | | - De Zhao Kong
- Liaoning University of Traditional Chinese Medicine, Shenyang, Liaoning, China
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29
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Gallo MT, Dolci B, Fumagalli F, Brivio P, Calabrese F. Prenatal Fluoxetine Exposure Influences Glucocorticoid Receptor-Mediated Activity in the Prefrontal Cortex of Adolescent Rats Exposed to Acute Stress. ACS Chem Neurosci 2024; 15:1560-1569. [PMID: 38507566 DOI: 10.1021/acschemneuro.3c00856] [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: 03/22/2024] Open
Abstract
Any deviation from the programmed processes of brain development may modify its formation and functions, thereby precipitating pathological conditions, which often become manifest in adulthood. Exposure to a challenge during crucial periods of vulnerability, such as adolescence, may reveal molecular changes preceding behavioral outcomes. Based on a previous study showing that prenatal fluoxetine (FLX) leads to the development of an anhedonic-like behavior in adult rats, we aimed to assess whether the same treatment regimen (i.e., fluoxetine during gestation; 15 mg/kg/day) influences the ability to respond to acute restraint stress (ARS) during adolescence. We subjected the rats to a battery of behavioral tests evaluating the development of various phenotypes (cognitive deficit, anhedonia, and anxiety). Furthermore, we carried out molecular analyses in the plasma and prefrontal cortex, a brain region involved in stress response, and whose functions are commonly altered in neuropsychiatric conditions. Our findings confirm that prenatal manipulation did not affect behavior in adolescent rats but impaired the capability to respond properly to ARS. Indeed, we observed changes in several molecular key players of the hypothalamic pituitary adrenal axis, particularly influencing genomic effects mediated by the glucocorticoid receptor. This study highlights that prenatal FLX exposure influences the ability of adolescent male rats to respond to an acute challenge, thereby altering the functionality of the hypothalamic-pituitary-adrenal axis, and indicates that the prenatal manipulation may prime the response to challenging events during this critical period of life.
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Affiliation(s)
- Maria Teresa Gallo
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan 20133, Italy
| | - Beatrice Dolci
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan 20133, Italy
| | - Fabio Fumagalli
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan 20133, Italy
| | - Paola Brivio
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan 20133, Italy
| | - Francesca Calabrese
- Department of Pharmacological and Biomolecular Sciences "Rodolfo Paoletti", Università degli Studi di Milano, Milan 20133, Italy
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Meyer-Arndt L, Brasanac J, Gamradt S, Bellmann-Strobl J, Maurer L, Mai K, Steward T, Spranger J, Schmitz-Hübsch T, Paul F, Gold SM, Weygandt M. Body mass, neuro-hormonal stress processing, and disease activity in lean to obese people with multiple sclerosis. J Neurol 2024; 271:1584-1598. [PMID: 38010499 DOI: 10.1007/s00415-023-12100-7] [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: 07/29/2023] [Revised: 10/17/2023] [Accepted: 11/05/2023] [Indexed: 11/29/2023]
Abstract
Overweight and obesity can worsen disease activity in multiple sclerosis (MS). Although psychobiological stress processing is increasingly recognized as important obesity factor that is tightly connected to proinflammatory metabolic hormones and cytokines, its role for MS obesity remains unexplored. Consequently, we investigated the interplay between body mass index (BMI), neural stress processing (functional connectivity, FC), and immuno-hormonal stress parameters (salivary cortisol and T cell glucocorticoid [GC] sensitivity) in 57 people with MS (six obese, 19 over-, 28 normal-, and four underweight; 37 females, 46.4 ± 10.6 years) using an Arterial-Spin-Labeling MRI task comprising a rest and stress stage, along with quantitative PCR. Our findings revealed significant positive connections between BMI and MS disease activity (i.e., higher BMI was accompanied by higher relapse rate). BMI was positively linked to right supramarginal gyrus and anterior insula FC during rest and negatively to right superior parietal lobule and cerebellum FC during stress. BMI showed associations with GC functioning, with higher BMI associated with lower CD8+ FKBP4 expression and higher CD8+ FKBP5 expression on T cells. Finally, the expression of CD8+ FKBP4 positively correlated with the FC of right supramarginal gyrus and left superior parietal lobule during rest. Overall, our study provides evidence that body mass is tied to neuro-hormonal stress processing in people with MS. The observed pattern of associations between BMI, neural networks, and GC functioning suggests partial overlap between neuro-hormonal and neural-body mass networks. Ultimately, the study underscores the clinical importance of understanding multi-system crosstalk in MS obesity.
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Affiliation(s)
- Lil Meyer-Arndt
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin, Berlin, Germany
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13125, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117, Berlin, Germany
- Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
| | - Jelena Brasanac
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin, Berlin, Germany
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13125, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117, Berlin, Germany
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12203, Berlin, Germany
| | - Stefanie Gamradt
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12203, Berlin, Germany
| | - Judith Bellmann-Strobl
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin, Berlin, Germany
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13125, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
- Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
| | - Lukas Maurer
- Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Max Rubner Center for Cardiovascular-Metabolic-Renal Research, 10117, Berlin, Germany
- Berlin Institute of Health, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 13347, Berlin, Germany
| | - Knut Mai
- Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 13347, Berlin, Germany
| | - Trevor Steward
- Melbourne School of Psychological Sciences, Faculty of Medicine, Dentistry and Health Sciences, University of Melbourne, Redmond Barry Building #817, Parkville, VIC, 3010, Australia
| | - Joachim Spranger
- Department of Endocrinology and Metabolism, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, Max Rubner Center for Cardiovascular-Metabolic-Renal Research, 10117, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, DZHK (German Centre for Cardiovascular Research), Partner Site Berlin, 13347, Berlin, Germany
| | - Tanja Schmitz-Hübsch
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin, Berlin, Germany
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13125, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117, Berlin, Germany
| | - Friedemann Paul
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin, Berlin, Germany
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13125, Berlin, Germany
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117, Berlin, Germany
- Department of Neurology and Experimental Neurology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
| | - Stefan M Gold
- Department of Psychiatry and Psychotherapy, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 12203, Berlin, Germany
- Department of Psychosomatic Medicine, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, 10117, Berlin, Germany
- Institute of Neuroimmunology and Multiple Sclerosis (INIMS), Center for Molecular Neurobiology Hamburg, Universitätsklinikum Hamburg-Eppendorf, 20251, Hamburg, Germany
| | - Martin Weygandt
- Experimental and Clinical Research Center, a cooperation between the Max Delbrück Center for Molecular Medicine in the Helmholtz Association and Charité Universitätsmedizin, Berlin, Germany.
- Experimental and Clinical Research Center, Charité-Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, 13125, Berlin, Germany.
- Max Delbrück Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany.
- Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin, Humboldt-Universität zu Berlin, and Berlin Institute of Health, NeuroCure Clinical Research Center, 10117, Berlin, Germany.
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31
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Chrétienneau C, Spindola LM, Vorspan F, Lagerberg TV, Marie‐Claire C, Bellivier F, Mouly S, Laplanche J, Bloch V, Le Hellard S, Icick R. An epigenetic candidate-gene association study of parental styles in suicide attempters with substance use disorders. Addict Biol 2024; 29:e13392. [PMID: 38564607 PMCID: PMC10986931 DOI: 10.1111/adb.13392] [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: 03/09/2023] [Revised: 02/07/2024] [Accepted: 02/27/2024] [Indexed: 04/04/2024]
Abstract
Suicide attempts (SA) are prevalent in substance use disorders (SUD). Epigenetic mechanisms may play a pivotal role in the molecular mechanisms of environmental effects eliciting suicidal behaviour in this population. Hypothalamic-pituitary-adrenal axis (HPA), oxytocin and neurotrophin pathways have been consistently involved in SA, yet , their interplay with childhood adversity remains unclear, particularly in SUD. In 24 outpatients with SUDs, we examined the relation between three parental dysfunctional styles and history of SA with methylation of 32 genes from these pathways, eventually analysing 823 methylation sites. Extensive phenotypic characterization was obtained using a semi-structured interview. Parental style was patient-reported using the Measure of Parental Style (MOPS) questionnaire, analysed with and without imputation of missing items. Linear regressions were performed to adjust for possible confounders, followed by multiple testing correction. We describe both differentially methylated probes (DMPs) and regions (DMRs) for each set of analyses (with and without imputation of MOPS items). Without imputation, five DMRs in OXTR, CRH and NTF3 significantly interacted with MOPS father abuse to increase the risk for lifetime SA, thus covering the three pathways. After imputation of missing MOPS items, two other DMPs from FKBP5 and SOCS3 significantly interacted with each of the three father styles to increase the risk for SA. Although our findings must be interpreted with caution due to small sample size, they suggest implications of stress reactivity genes in the suicidal risk of SUD patients and highlight the significance of father dysfunction as a potential marker of childhood adversity in SUD patients.
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Affiliation(s)
- Clara Chrétienneau
- Département Universitaire de Psychiatrie et de Médecine Addictologique, GHU APHP. NordAssistance Publique – Hôpitaux de ParisParisFrance
- INSERM UMR‐S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie, OTeNUniversité Paris CitéParisFrance
- FHU NOR‐SUD Network of Research in Substance Use DisordersParisFrance
| | - Leticia M. Spindola
- NORMENT, Department of Clinical ScienceUniversity of BergenBergenNorway
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical GeneticsHaukeland University HospitalBergenNorway
| | - Florence Vorspan
- Département Universitaire de Psychiatrie et de Médecine Addictologique, GHU APHP. NordAssistance Publique – Hôpitaux de ParisParisFrance
- INSERM UMR‐S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie, OTeNUniversité Paris CitéParisFrance
- FHU NOR‐SUD Network of Research in Substance Use DisordersParisFrance
| | - Trine Vik Lagerberg
- Division of Mental Health and Addiction Department of Psychology, Faculty of Social SciencesOslo University Hospital | University of Oslo, Oslo, NorwayOsloNorway
| | - Cynthia Marie‐Claire
- INSERM UMR‐S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie, OTeNUniversité Paris CitéParisFrance
- FHU NOR‐SUD Network of Research in Substance Use DisordersParisFrance
| | - Frank Bellivier
- Département Universitaire de Psychiatrie et de Médecine Addictologique, GHU APHP. NordAssistance Publique – Hôpitaux de ParisParisFrance
- INSERM UMR‐S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie, OTeNUniversité Paris CitéParisFrance
- FHU NOR‐SUD Network of Research in Substance Use DisordersParisFrance
| | - Stéphane Mouly
- Department of Internal MedicineLariboisière Hospital, Assistance Publique‐Hôpitaux de ParisParisFrance
- Université Paris CitéParisFrance
| | - Jean‐Louis Laplanche
- INSERM UMR‐S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie, OTeNUniversité Paris CitéParisFrance
- FHU NOR‐SUD Network of Research in Substance Use DisordersParisFrance
| | - Vanessa Bloch
- INSERM UMR‐S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie, OTeNUniversité Paris CitéParisFrance
- FHU NOR‐SUD Network of Research in Substance Use DisordersParisFrance
- Pharmacie HospitalièreAssistance Publique – Hôpitaux de Paris, GHU APHP. NordParisFrance
| | - Stéphanie Le Hellard
- NORMENT, Department of Clinical ScienceUniversity of BergenBergenNorway
- Dr. Einar Martens Research Group for Biological Psychiatry, Department of Medical GeneticsHaukeland University HospitalBergenNorway
| | - Romain Icick
- Département Universitaire de Psychiatrie et de Médecine Addictologique, GHU APHP. NordAssistance Publique – Hôpitaux de ParisParisFrance
- INSERM UMR‐S 1144, Optimisation Thérapeutique en Neurospsychopharmacologie, OTeNUniversité Paris CitéParisFrance
- FHU NOR‐SUD Network of Research in Substance Use DisordersParisFrance
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32
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Emani PS, Liu JJ, Clarke D, Jensen M, Warrell J, Gupta C, Meng R, Lee CY, Xu S, Dursun C, Lou S, Chen Y, Chu Z, Galeev T, Hwang A, Li Y, Ni P, Zhou X, Bakken TE, Bendl J, Bicks L, Chatterjee T, Cheng L, Cheng Y, Dai Y, Duan Z, Flaherty M, Fullard JF, Gancz M, Garrido-Martín D, Gaynor-Gillett S, Grundman J, Hawken N, Henry E, Hoffman GE, Huang A, Jiang Y, Jin T, Jorstad NL, Kawaguchi R, Khullar S, Liu J, Liu J, Liu S, Ma S, Margolis M, Mazariegos S, Moore J, Moran JR, Nguyen E, Phalke N, Pjanic M, Pratt H, Quintero D, Rajagopalan AS, Riesenmy TR, Shedd N, Shi M, Spector M, Terwilliger R, Travaglini KJ, Wamsley B, Wang G, Xia Y, Xiao S, Yang AC, Zheng S, Gandal MJ, Lee D, Lein ES, Roussos P, Sestan N, Weng Z, White KP, Won H, Girgenti MJ, Zhang J, Wang D, Geschwind D, Gerstein M. Single-cell genomics and regulatory networks for 388 human brains. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.03.18.585576. [PMID: 38562822 PMCID: PMC10983939 DOI: 10.1101/2024.03.18.585576] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Single-cell genomics is a powerful tool for studying heterogeneous tissues such as the brain. Yet, little is understood about how genetic variants influence cell-level gene expression. Addressing this, we uniformly processed single-nuclei, multi-omics datasets into a resource comprising >2.8M nuclei from the prefrontal cortex across 388 individuals. For 28 cell types, we assessed population-level variation in expression and chromatin across gene families and drug targets. We identified >550K cell-type-specific regulatory elements and >1.4M single-cell expression-quantitative-trait loci, which we used to build cell-type regulatory and cell-to-cell communication networks. These networks manifest cellular changes in aging and neuropsychiatric disorders. We further constructed an integrative model accurately imputing single-cell expression and simulating perturbations; the model prioritized ~250 disease-risk genes and drug targets with associated cell types.
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Affiliation(s)
- Prashant S Emani
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Jason J Liu
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Declan Clarke
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Matthew Jensen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Jonathan Warrell
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Chirag Gupta
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Ran Meng
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Che Yu Lee
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Siwei Xu
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Cagatay Dursun
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Shaoke Lou
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Yuhang Chen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Zhiyuan Chu
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
| | - Timur Galeev
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Ahyeon Hwang
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
- Mathematical, Computational and Systems Biology, University of California, Irvine, CA, 92697, USA
| | - Yunyang Li
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
- Department of Computer Science, Yale University, New Haven, CT, 06520, USA
| | - Pengyu Ni
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Xiao Zhou
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | | | - Jaroslav Bendl
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Lucy Bicks
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Tanima Chatterjee
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | | | - Yuyan Cheng
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Department of Opthalmology, Perlman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Yi Dai
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Ziheng Duan
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | | | - John F Fullard
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Michael Gancz
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Diego Garrido-Martín
- Department of Genetics, Microbiology and Statistics, Universitat de Barcelona, Barcelona, 08028, Spain
| | - Sophia Gaynor-Gillett
- Tempus Labs, Inc., Chicago, IL, 60654, USA
- Department of Biology, Cornell College, Mount Vernon, IA, 52314, USA
| | - Jennifer Grundman
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Natalie Hawken
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Ella Henry
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Gabriel E Hoffman
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Mental Illness Research Education and Clinical Center, James J. Peters VA Medical Center, Bronx, NY, 10468, USA
- Center for Precision Medicine and Translational Therapeutics, James J. Peters VA Medical Center, Bronx, NY, 10468, USA
| | - Ao Huang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
| | - Yunzhe Jiang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Ting Jin
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | | | - Riki Kawaguchi
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Center for Autism Research and Treatment, Semel Institute, University of California, Los Angeles, CA, 90095, USA
| | - Saniya Khullar
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Jianyin Liu
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Junhao Liu
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Shuang Liu
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
| | - Shaojie Ma
- Department of Neuroscience, Yale University, New Haven, CT, 06510, USA
- Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031, China
| | - Michael Margolis
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Samantha Mazariegos
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Jill Moore
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | | | - Eric Nguyen
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Nishigandha Phalke
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | - Milos Pjanic
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Henry Pratt
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | - Diana Quintero
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | | | - Tiernon R Riesenmy
- Department of Statistics & Data Science, Yale University, New Haven, CT, 06520, USA
| | - Nicole Shedd
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | - Manman Shi
- Tempus Labs, Inc., Chicago, IL, 60654, USA
| | | | - Rosemarie Terwilliger
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA
| | | | - Brie Wamsley
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Gaoyuan Wang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Yan Xia
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Shaohua Xiao
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Andrew C Yang
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Suchen Zheng
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
| | - Michael J Gandal
- Interdepartmental Program in Bioinformatics, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
- Lifespan Brain Institute, The Children's Hospital of Philadelphia, Philadelphia, PA, 19104, USA
| | - Donghoon Lee
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Ed S Lein
- Allen Institute for Brain Science, Seattle, WA, 98109, USA
- Department of Neurological Surgery, University of Washington, Seattle, WA, 98195, USA
- Department of Laboratory Medicine and Pathology, University of Washington, Seattle, WA, 98195, USA
| | - Panos Roussos
- Center for Disease Neurogenomics, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Department of Genetics and Genomic Science, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
- Mental Illness Research Education and Clinical Center, James J. Peters VA Medical Center, Bronx, NY, 10468, USA
- Center for Precision Medicine and Translational Therapeutics, James J. Peters VA Medical Center, Bronx, NY, 10468, USA
| | - Nenad Sestan
- Department of Neuroscience, Yale University, New Haven, CT, 06510, USA
| | - Zhiping Weng
- Department of Genomics and Computational Biology, UMass Chan Medical School, Worcester, MA, 01605, USA
| | - Kevin P White
- Yong Loo Lin School of Medicine, National University of Singapore, 117597, Singapore
| | - Hyejung Won
- Department of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA
| | - Matthew J Girgenti
- Department of Psychiatry, Yale University School of Medicine, New Haven, CT, 06520, USA
- Wu Tsai Institute, Yale University, New Haven, CT, 06520, USA
- Clinical Neuroscience Division, National Center for Posttraumatic Stress Disorder, Veterans Affairs Connecticut Healthcare System, West Haven, CT, 06516, USA
| | - Jing Zhang
- Department of Computer Science, University of California, Irvine, CA, 92697, USA
| | - Daifeng Wang
- Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, 53706, USA
- Waisman Center, University of Wisconsin-Madison, Madison, WI, 53705, USA
- Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI, 53706, USA
| | - Daniel Geschwind
- Program in Neurogenetics, Department of Neurology, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
- Center for Autism Research and Treatment, Semel Institute, University of California, Los Angeles, CA, 90095, USA
- Department of Psychiatry, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, 90095, USA
- Institute for Precision Health, David Geffen School of Medicine, University of California, Los Angeles, CA, 90095, USA
| | - Mark Gerstein
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT, 06520, USA
- Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT, 06520, USA
- Department of Computer Science, Yale University, New Haven, CT, 06520, USA
- Department of Statistics & Data Science, Yale University, New Haven, CT, 06520, USA
- Department of Biomedical Informatics & Data Science, Yale University, New Haven, CT, 06520, USA
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Zimmer C, Jimeno B, Martin LB. HPA flexibility and FKBP5: promising physiological targets for conservation. Philos Trans R Soc Lond B Biol Sci 2024; 379:20220512. [PMID: 38310934 PMCID: PMC10838639 DOI: 10.1098/rstb.2022.0512] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2023] [Accepted: 10/22/2023] [Indexed: 02/06/2024] Open
Abstract
Hypothalamic-pituitary-adrenal axis (HPA) flexibility is an emerging concept recognizing that individuals that will cope best with stressors will probably be those using their hormones in the most adaptive way. The HPA flexibility concept considers glucocorticoids as molecules that convey information about the environment from the brain to the body so that the organismal phenotype comes to complement prevailing conditions. In this context, FKBP5 protein appears to set the extent to which circulating glucocorticoid concentrations can vary within and across stressors. Thus, FKBP5 expression, and the HPA flexibility it causes, seem to represent an individual's ability to regulate its hormones to orchestrate organismal responses to stressors. As FKBP5 expression can also be easily measured in blood, it could be a worthy target of conservation-oriented research attention. We first review the known and likely roles of HPA flexibility and FKBP5 in wildlife. We then describe putative genetic, environmental and epigenetic causes of variation in HPA flexibility and FKBP5 expression among and within individuals. Finally, we hypothesize how HPA flexibility and FKBP5 expression should affect organismal fitness and hence population viability in response to human-induced rapid environmental changes, particularly urbanization. This article is part of the theme issue 'Endocrine responses to environmental variation: conceptual approaches and recent developments'.
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Affiliation(s)
- Cédric Zimmer
- Laboratoire d'Ethologie Expérimentale et Comparée, LEEC, Université Sorbonne Paris Nord, UR 4443, 93430 Villetaneuse, France
| | - Blanca Jimeno
- Instituto Pirenaico de Ecologia (IPE), CSIC, Avenida Nuestra Señora de la Victoria, 16, 22700 Jaca, Spain
| | - Lynn B. Martin
- Center for Global Health and Infectious Disease Research and Center for Genomics, University of South Florida, Tampa, FL 33612, USA
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Mosse IB, Sedlyar NG, Mosse KA, Kilchevsky AV. DNA methylation differences in genes associated with human personal disorders and deviant behavior. AIMS Neurosci 2024; 11:39-48. [PMID: 38617039 PMCID: PMC11007406 DOI: 10.3934/neuroscience.2024003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 03/18/2024] [Accepted: 03/22/2024] [Indexed: 04/16/2024] Open
Abstract
Epigenetic regulation of gene expression is involved in the progression of mental disorders, including deviant behavior, brain developmental, and personality disorders. The large number of genes has been studied for their activity association with stress and depression; however, the obtained results for the majority of these genes are contradictory. The aim of our study was to investigate the possible contribution of methylation level changes to the development of personality disorders and deviant behavior. A systematic study of CpG Islands in 21 target regions, including the promoter and intron regions of the 12 genes was performed in DNA samples extracted from peripheral blood cells, to obtain an overview of their methylation status. High-throughput sequencing of converted DNA samples was performed and calling of the methylation sites on the "original top strand" in CpG islands was carried out in the Bismark pipeline. The initial methylation profile of 77 patients and 48 controls samples revealed a significant difference in 7 CpG sites in 6 genes. The most significant hypermethylation was found for the target sites of the HTR2A (p-value = 1.2 × 10-13) and OXTR (p-value = 2.3 × 10-7) genes. These data support the previous reports that alterations in DNA methylation may play an important role in the dysregulation of gene expression associated with personality disorders and deviant behavior, and confirm their potential use as biomarkers to improve thediagnosis, prognosis, and assessment of response to treatment.
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Affiliation(s)
- I. B. Mosse
- Laboratory of Human Genetics, the Institute of Genetics and Cytology, National Academy of Sciences of Belarus, Minsk, Republic of Belarus
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Zhao M, Wang Y, Zeng Y, Huang H, Xu T, Liu B, Wu C, Luo X, Jiang Y. Gene‒environment interaction effect of hypothalamic‒pituitary‒adrenal axis gene polymorphisms and job stress on the risk of sleep disturbances. PeerJ 2024; 12:e17119. [PMID: 38525273 PMCID: PMC10960531 DOI: 10.7717/peerj.17119] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 02/26/2024] [Indexed: 03/26/2024] Open
Abstract
Background Studies have shown that chronic exposure to job stress may increase the risk of sleep disturbances and that hypothalamic‒pituitary‒adrenal (HPA) axis gene polymorphisms may play an important role in the psychopathologic mechanisms of sleep disturbances. However, the interactions among job stress, gene polymorphisms and sleep disturbances have not been examined from the perspective of the HPA axis. This study aimed to know whether job stress is a risk factor for sleep disturbances and to further explore the effect of the HPA axis gene × job stress interaction on sleep disturbances among railway workers. Methods In this cross-sectional study, 671 participants (363 males and 308 females) from the China Railway Fuzhou Branch were included. Sleep disturbances were evaluated with the Pittsburgh Sleep Quality Index (PSQI), and job stress was measured with the Effort-Reward Imbalance scale (ERI). Generalized multivariate dimensionality reduction (GMDR) models were used to assess gene‒environment interactions. Results We found a significant positive correlation between job stress and sleep disturbances (P < 0.01). The FKBP5 rs1360780-T and rs4713916-A alleles and the CRHR1 rs110402-G allele were associated with increased sleep disturbance risk, with adjusted ORs (95% CIs) of 1.75 [1.38-2.22], 1.68 [1.30-2.18] and 1.43 [1.09-1.87], respectively. However, the FKBP5 rs9470080-T allele was a protective factor against sleep disturbances, with an OR (95% CI) of 0.65 [0.51-0.83]. GMDR analysis indicated that under job stress, individuals with the FKBP5 rs1368780-CT, rs4713916-GG, and rs9470080-CT genotypes and the CRHR1 rs110402-AA genotype had the greatest risk of sleep disturbances. Conclusions Individuals carrying risk alleles who experience job stress may be at increased risk of sleep disturbances. These findings may provide new insights into stress-related sleep disturbances in occupational populations.
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Affiliation(s)
- Min Zhao
- Department of Public Health, Fujian Medical University, Fuzhou, China
| | - Yuxi Wang
- Department of Public Health, Fujian Medical University, Fuzhou, China
| | - Yidan Zeng
- Department of Public Health, Fujian Medical University, Fuzhou, China
| | - Huimin Huang
- Department of Public Health, Fujian Medical University, Fuzhou, China
| | - Tong Xu
- Affiliated Zhongshan Hospital of Dalian University, Dalian, China
| | - Baoying Liu
- Department of Public Health, Fujian Medical University, Fuzhou, China
| | - Chuancheng Wu
- Department of Public Health, Fujian Medical University, Fuzhou, China
| | - Xiufeng Luo
- Fuzhou Municipal Center for Disease Control and Prevention, Fuzhou, China
| | - Yu Jiang
- Department of Public Health, Fujian Medical University, Fuzhou, China
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36
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Cattane N, Di Benedetto MG, D'Aprile I, Riva MA, Cattaneo A. Dissecting the Long-Term Effect of Stress Early in Life on FKBP5: The Role of miR-20b-5p and miR-29c-3p. Biomolecules 2024; 14:371. [PMID: 38540789 PMCID: PMC10967956 DOI: 10.3390/biom14030371] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2024] [Revised: 03/09/2024] [Accepted: 03/12/2024] [Indexed: 04/04/2024] Open
Abstract
Exposure to early-life stress (ELS) has been related to an increased susceptibility to psychiatric disorders later in life. Although the molecular mechanisms underlying this association are still under investigation, glucocorticoid signaling has been proposed to be a key mediator. Here, we used two preclinical models, the prenatal stress (PNS) animal model and an in vitro model of hippocampal progenitor cells, to assess the long-term effect of ELS on FKBP5, NR3C1, NR3C2, and FoxO1, four stress-responsive genes involved in the effects of glucocorticoids. In the hippocampus of male PNS rats sacrificed at different time points during neurodevelopment (PND 21, 40, 62), we found a statistically significant up-regulation of FKBP5 at PND 40 and PND 62 and a significant increase in FoxO1 at PND 62. Interestingly, all four genes were significantly up-regulated in differentiated cells treated with cortisol during cell proliferation. As FKBP5 was consistently modulated by PNS at adolescence (PND 40) and adulthood (PND 62) and by cortisol treatment after cell differentiation, we measured a panel of miRNAs targeting FKBP5 in the same samples where FKBP5 expression levels were available. Interestingly, both miR-20b-5p and miR-29c-3p were significantly reduced in PNS-exposed animals (both at PND40 and 62) and also in the in vitro model after cortisol exposure. Our results highlight the key role of miR-20b-5p and miR-29c-3p in sustaining the long-term effects of ELS on the stress response system, representing a mechanistic link possibly contributing to the enhanced stress-related vulnerability to mental disorders.
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Affiliation(s)
- Nadia Cattane
- Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
| | - Maria Grazia Di Benedetto
- Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
- Department of Pharmacological and Biomolecular Sciences, University of Milan, 20133 Milan, Italy
| | - Ilari D'Aprile
- Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
- Department of Pharmacological and Biomolecular Sciences, University of Milan, 20133 Milan, Italy
| | - Marco Andrea Riva
- Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
- Department of Pharmacological and Biomolecular Sciences, University of Milan, 20133 Milan, Italy
| | - Annamaria Cattaneo
- Biological Psychiatry Unit, IRCCS Istituto Centro San Giovanni di Dio Fatebenefratelli, 25125 Brescia, Italy
- Department of Pharmacological and Biomolecular Sciences, University of Milan, 20133 Milan, Italy
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37
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Bergmans S, Noel NCL, Masin L, Harding EG, Krzywańska AM, De Schutter JD, Ayana R, Hu CK, Arckens L, Ruzycki PA, MacDonald RB, Clark BS, Moons L. Age-related dysregulation of the retinal transcriptome in African turquoise killifish. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.02.21.581372. [PMID: 38559206 PMCID: PMC10979842 DOI: 10.1101/2024.02.21.581372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/04/2024]
Abstract
Age-related vision loss caused by retinal neurodegenerative pathologies is becoming more prevalent in our ageing society. To understand the physiological and molecular impact of ageing on retinal homeostasis, we used the short-lived African turquoise killifish, a model known to naturally develop central nervous system (CNS) ageing hallmarks and vision loss. Bulk and single-cell RNA-sequencing (scRNA-seq) of three age groups (6-, 12-, and 18-week-old) identified transcriptional ageing fingerprints in the killifish retina, unveiling pathways also identified in the aged brain, including oxidative stress, gliosis, and inflammageing. These findings were comparable to observations in ageing mouse retina. Additionally, transcriptional changes in genes related to retinal diseases, such as glaucoma and age-related macular degeneration, were observed. The cellular heterogeneity in the killifish retina was characterised, confirming the presence of all typical vertebrate retinal cell types. Data integration from age-matched samples between the bulk and scRNA-seq experiments revealed a loss of cellular specificity in gene expression upon ageing, suggesting potential disruption in transcriptional homeostasis. Differential expression analysis within the identified cell types highlighted the role of glial/immune cells as important stress regulators during ageing. Our work emphasises the value of the fast-ageing killifish in elucidating molecular signatures in age-associated retinal disease and vision decline. This study contributes to the understanding of how age-related changes in molecular pathways may impact CNS health, providing insights that may inform future therapeutic strategies for age-related pathologies.
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Affiliation(s)
- Steven Bergmans
- KU Leuven, Leuven Brain Institute, Department of Biology, Animal Physiology and Neurobiology division, Neural circuit development & regeneration research group, 3000 Leuven, Belgium
| | - Nicole C L Noel
- University College London, Institute of Ophthalmology, London, UK, EC1V 9EL
| | - Luca Masin
- KU Leuven, Leuven Brain Institute, Department of Biology, Animal Physiology and Neurobiology division, Neural circuit development & regeneration research group, 3000 Leuven, Belgium
| | - Ellen G Harding
- Washington University School of Medicine, John F Hardesty, MD Department of Ophthalmology and Visual Sciences, Saint Louis, Missouri, 63110 United States of America
| | | | - Julie D De Schutter
- KU Leuven, Leuven Brain Institute, Department of Biology, Animal Physiology and Neurobiology division, Neural circuit development & regeneration research group, 3000 Leuven, Belgium
| | - Rajagopal Ayana
- KU Leuven, Leuven Brain Institute, Department of Biology, Animal Physiology and Neurobiology section, Laboratory of Neuroplasticity and Neuroproteomics, 3000 Leuven, Belgium
| | - Chi-Kuo Hu
- Stony Brook University, Department of Biochemistry and Cell Biology, 11790 Stony Brook, United States of America
| | - Lut Arckens
- KU Leuven, Leuven Brain Institute, Department of Biology, Animal Physiology and Neurobiology section, Laboratory of Neuroplasticity and Neuroproteomics, 3000 Leuven, Belgium
| | - Philip A Ruzycki
- Washington University School of Medicine, John F Hardesty, MD Department of Ophthalmology and Visual Sciences, Saint Louis, Missouri, 63110 United States of America
- Washington University School of Medicine, Department of Genetics, Saint Louis, Missouri, 63110 United States of America
| | - Ryan B MacDonald
- University College London, Institute of Ophthalmology, London, UK, EC1V 9EL
| | - Brian S Clark
- Washington University School of Medicine, John F Hardesty, MD Department of Ophthalmology and Visual Sciences, Saint Louis, Missouri, 63110 United States of America
- Washington University School of Medicine, Department of Developmental Biology, Saint Louis, Missouri, 63110 United States of America
- Washington University School of Medicine, Center of Regenerative Medicine, Saint Louis, Missouri, 63110 United States of America
| | - Lieve Moons
- KU Leuven, Leuven Brain Institute, Department of Biology, Animal Physiology and Neurobiology division, Neural circuit development & regeneration research group, 3000 Leuven, Belgium
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38
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Loy CJ, Servellita V, Sotomayor-Gonzalez A, Bliss A, Lenz J, Belcher E, Suslovic W, Nguyen J, Williams ME, Oseguera M, Gardiner MA, Choi JH, Hsiao HM, Wang H, Kim J, Shimizu C, Tremoulet A, Delaney M, DeBiasi RL, Rostad CA, Burns JC, Chiu CY, Vlaminck ID. Plasma Cell-free RNA Signatures of Inflammatory Syndromes in Children. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.03.06.24303645. [PMID: 38496479 PMCID: PMC10942512 DOI: 10.1101/2024.03.06.24303645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/19/2024]
Abstract
Inflammatory syndromes, including those caused by infection, are a major cause of hospital admissions among children and are often misdiagnosed because of a lack of advanced molecular diagnostic tools. In this study, we explored the utility of circulating cell-free RNA (cfRNA) in plasma as an analyte for the differential diagnosis and characterization of pediatric inflammatory syndromes. We profiled cfRNA in 370 plasma samples from pediatric patients with a range of inflammatory conditions, including Kawasaki disease (KD), Multisystem Inflammatory Syndrome in Children (MIS-C), viral infections and bacterial infections. We developed machine learning models based on these cfRNA profiles, which effectively differentiated KD from MIS-C - two conditions presenting with overlapping symptoms - with high performance (Test Area Under the Curve (AUC) = 0.97). We further extended this methodology into a multiclass machine learning framework that achieved 81% accuracy in distinguishing among KD, MIS-C, viral, and bacterial infections. We further demonstrated that cfRNA profiles can be used to quantify injury to specific tissues and organs, including the liver, heart, endothelium, nervous system, and the upper respiratory tract. Overall, this study identified cfRNA as a versatile analyte for the differential diagnosis and characterization of a wide range of pediatric inflammatory syndromes.
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Eachus H, Ryu S. Glucocorticoid effects on the brain: from adaptive developmental plasticity to allostatic overload. J Exp Biol 2024; 227:jeb246128. [PMID: 38449327 PMCID: PMC10949071 DOI: 10.1242/jeb.246128] [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] [Indexed: 03/08/2024]
Abstract
Exposure to stress during early life may alter the developmental trajectory of an animal by a mechanism known as adaptive plasticity. For example, to enhance reproductive success in an adverse environment, it is known that animals accelerate their growth during development. However, these short-term fitness benefits are often associated with reduced longevity, a phenomenon known as the growth rate-lifespan trade-off. In humans, early life stress exposure compromises health later in life and increases disease susceptibility. Glucocorticoids (GCs) are major stress hormones implicated in these processes. This Review discusses the evidence for GC-mediated adaptive plasticity in development, leading to allostatic overload in later life. We focus on GC-induced effects on brain structure and function, including neurogenesis; highlight the need for longitudinal studies; and discuss approaches to identify molecular mechanisms mediating GC-induced alteration of the brain developmental trajectory leading to adult dysfunctions. Further understanding of how stress and GC exposure can alter developmental trajectories at the molecular and cellular level is of critical importance to reduce the burden of mental and physical ill health across the life course.
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Affiliation(s)
- Helen Eachus
- Living Systems Institute & Department of Clinical and Biomedical Sciences, University of Exeter, Stocker Road, Exeter EX4 4QD, UK
| | - Soojin Ryu
- Living Systems Institute & Department of Clinical and Biomedical Sciences, University of Exeter, Stocker Road, Exeter EX4 4QD, UK
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Creasey N, Leijten P, Tollenaar MS, Boks MP, Overbeek G. DNA methylation variation after a parenting program for child conduct problems: Findings from a randomized controlled trial. Child Dev 2024. [PMID: 38436454 DOI: 10.1111/cdev.14090] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
This study investigated associations of the Incredible Years (IY) parenting program with children's DNA methylation. Participants were 289 Dutch children aged 3-9 years (75% European ancestry, 48% female) with above-average conduct problems. Saliva was collected 2.5 years after families were randomized to IY or care as usual (CAU). Using an intention-to-treat approach, confirmatory multiple-regression analyses revealed no significant differences between the IY and CAU groups in children's methylation levels at the NR3C1 and FKBP5 genes. However, exploratory epigenome-wide analyses revealed nine differentially methylated regions between groups, coinciding with SLAMF1, MITF, FAM200B, PSD3, SNX31, and CELSR1. The study provides preliminary evidence for associations of IY with children's salivary methylation levels and highlights the need for further research into biological outcomes of parenting programs.
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Affiliation(s)
- Nicole Creasey
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, The Netherlands
| | - Patty Leijten
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands
| | - Marieke S Tollenaar
- Institute of Psychology & Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
| | - Marco P Boks
- Institute of Psychology & Leiden Institute for Brain and Cognition, Leiden University, Leiden, The Netherlands
- Department of Psychiatry, Brain Center University Medical Center Utrecht, University Utrecht, Utrecht, The Netherlands
| | - Geertjan Overbeek
- Research Institute of Child Development and Education, University of Amsterdam, Amsterdam, The Netherlands
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Pivonello C, Patalano R, Simeoli C, Montò T, Negri M, Amatrudo F, Di Paola N, Larocca A, Crescenzo EM, Pirchio R, Solari D, de Angelis C, Auriemma RS, Cavallo LM, Colao A, Pivonello R. Circulating myomiRNAs as biomarkers in patients with Cushing's syndrome. J Endocrinol Invest 2024; 47:655-669. [PMID: 37682493 PMCID: PMC10904409 DOI: 10.1007/s40618-023-02184-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/23/2023] [Accepted: 08/22/2023] [Indexed: 09/09/2023]
Abstract
PURPOSE Impairment of skeletal muscle mass and strength affects 40-70% of patients with active Cushing's syndrome (CS). Glucocorticoid excess sustains muscle atrophy and weakness, while muscle-specific microRNAs (myomiRs) level changes were associated with muscle organization and function perturbation. The aim of the current study is to explore changes in circulating myomiRs in CS patients compared to healthy controls and their involvement in IGFI/PI3K/Akt/mTOR pathway regulation in skeletal muscle. METHODS C2C12, mouse myocytes, were exposed to hydrocortisone (HC), and atrophy-related gene expression was investigated by RT-qPCR, WB and IF to assess HC-mediated atrophic signalling. miRNAs were evaluated in HC-treated C2C12 by PCR Arrays. MyomiRs significantly overexpressed in C2C12 were investigated in 37 CS patients and 24 healthy controls serum by RT-qPCR. The anti-anabolic role of circulating miRNAs significantly upregulated in CS patients was explored in C2C12 by investigating the IGFI/PI3K/Akt/mTOR pathway regulation. RESULTS HC induced higher expression of atrophy-related genes, miR-133a-3p, miR-122-5p and miR-200b-3p in C2C12 compared to untreated cells. Conversely, the anabolic IGFI/PI3K/Akt/mTOR signalling was reduced and this effect was mediated by miR-133a-3p. In CS patients miR-133a-3p and miR-200b-3p revealed higher circulating levels (p < 0.0001, respectively) compared to controls. ROC curves for miR-133a-3p (AUC 0.823, p < 0.0001) and miR-200b-3p (AUC 0.850, p < 0.0001) demonstrated that both myomiRs represent potential biomarkers to discriminate between CS and healthy subjects. Pearson's correlation analysis revealed that circulating levels of miR-133a-3p are directly correlated with 24 h urinary-free cortisol level (r = 0.468, p = 0.004) in CS patients. CONCLUSIONS HC induces atrophic signals by miR-133a-3p overexpression in mouse myocytes and humans. Circulating miR-133a-3p is promising biomarkers of hypercortisolism.
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Affiliation(s)
- C Pivonello
- Department of Public Health, Federico II University, Naples, Italy
| | - R Patalano
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy
| | - C Simeoli
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy
| | - T Montò
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy
| | - M Negri
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy
| | - F Amatrudo
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy
| | - N Di Paola
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy
| | - A Larocca
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy
| | - E M Crescenzo
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy
| | - R Pirchio
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy
| | - D Solari
- Department of Neuroscience, Division of Neurosurgery, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| | - C de Angelis
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy
| | - R S Auriemma
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy
| | - L M Cavallo
- Department of Neuroscience, Division of Neurosurgery, Reproductive and Odontostomatological Sciences, Federico II University, Naples, Italy
| | - A Colao
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy
- UNESCO Chair for Health Education and Sustainable Development, Federico II University, Naples, Italy
| | - R Pivonello
- Dipartimento di Medicina Clinica e Chirurgia, Sezione di Endocrinologia, Diabetologia, Andrologia e Nutrizione, Università Federico II di Napoli, Naples, Italy.
- UNESCO Chair for Health Education and Sustainable Development, Federico II University, Naples, Italy.
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Wang L, Wojcieszak J, Kumar R, Zhao Z, Sun X, Xie S, Winblad B, Pavlov PF. FKBP51-Hsp90 Interaction-Deficient Mice Exhibit Altered Endocrine Stress Response and Sex Differences Under High-Fat Diet. Mol Neurobiol 2024; 61:1479-1494. [PMID: 37726498 PMCID: PMC10896785 DOI: 10.1007/s12035-023-03627-x] [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: 04/11/2023] [Accepted: 08/30/2023] [Indexed: 09/21/2023]
Abstract
FK506-binding protein 51 kDa (FKBP51), encoded by Fkbp5 gene, gained considerable attention as an important regulator of several aspects of human biology including stress response, metabolic dysfunction, inflammation, and age-dependent neurodegeneration. Its catalytic peptidyl-prolyl isomerase (PPIase) activity is mediated by the N-terminal FK506-binding (FK1) domain, whereas the C-terminal tetratricopeptide motif (TPR) domain is responsible for FKBP51 interaction with molecular chaperone heat shock protein 90 (Hsp90). To understand FKBP51-related biology, several mouse models have been created. These include Fkbp5 complete and conditional knockouts, overexpression, and humanized models. To dissect the role of FKBP51-Hsp90 interaction in FKBP51 biology, we have created an interaction-deficient mouse (Fkbp5TPRmut) by introducing two-point mutations in the TPR domain of FKBP51. FKBP51-Hsp90 interaction-deficient mice are viable, fertile and show Mendelian inheritance. Intracellular association of FKBP51 with Hsp90 is significantly reduced in homozygous mutants compared to wild-type animals. No behavioral differences between genotypes were seen at 2 months of age, however, sex-dependent differences were detected in Y-maze and fear conditioning tests at the age of 12 months. Moreover, we have found a significant reduction in plasma levels of corticosterone and adrenocorticotropic hormone in Fkbp5TPRmut mice after acute stress. In contrast to Fkbp5 knockout mice, females of Fkbp5TPRmut showed increased body weight gain under high-fat diet treatment. Our data confirm the importance of FKBP51-Hsp90 interactions for stress-related endocrine signaling. Also, Fkbp5TPRmut mice can serve as a useful in vivo tool to discriminate between Hsp90-dependent and independent functions of FKBP51.
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Affiliation(s)
- Lisha Wang
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, 17164, Solna, Sweden
| | - Jakub Wojcieszak
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, 17164, Solna, Sweden
- Department of Pharmacodynamics, Medical University of Lodz, 90151, Lodz, Poland
| | - Rajnish Kumar
- Department of Pharmaceutical Engineering & Technology, Indian Institute of Technology (BHU), 221005, Varanasi, India
| | - Zhe Zhao
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, 17164, Solna, Sweden
- Department of Toxicology, School of Public Health, Peking University, 100191, Beijing, China
| | - Xuelian Sun
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, 17164, Solna, Sweden
- National Clinical Research Center for Geriatrics and Department of Gerontology and Geriatrics, West China Hospital, Sichuan University, 610041, Chengdu, China
| | - Shaoxun Xie
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, 17164, Solna, Sweden
| | - Bengt Winblad
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, 17164, Solna, Sweden
- Theme Inflammation and Aging, Karolinska University Hospital, 14186, Huddinge, Sweden
| | - Pavel F Pavlov
- Department of Neurobiology, Care Sciences and Society, Division of Neurogeriatrics, Karolinska Institutet, 17164, Solna, Sweden.
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Coppens G, Vanhorebeek I, Güiza F, Derese I, Wouters PJ, Téblick A, Dulfer K, Joosten KF, Verbruggen SC, Van den Berghe G. Abnormal DNA methylation within HPA-axis genes years after paediatric critical illness. Clin Epigenetics 2024; 16:31. [PMID: 38395991 PMCID: PMC10893716 DOI: 10.1186/s13148-024-01640-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2023] [Accepted: 02/06/2024] [Indexed: 02/25/2024] Open
Abstract
BACKGROUND Critically ill children suffer from impaired physical/neurocognitive development 2 years later. Glucocorticoid treatment alters DNA methylation within the hypothalamus-pituitary-adrenal (HPA) axis which may impair normal brain development, cognition and behaviour. We tested the hypothesis that paediatric-intensive-care-unit (PICU) patients, sex- and age-dependently, show long-term abnormal DNA methylation within the HPA-axis layers, possibly aggravated by glucocorticoid treatment in the PICU, which may contribute to the long-term developmental impairments. RESULTS In a pre-planned secondary analysis of the multicentre PEPaNIC-RCT and its 2-year follow-up, we identified differentially methylated positions and differentially methylated regions within HPA-axis genes in buccal mucosa DNA from 818 former PICU patients 2 years after PICU admission (n = 608 no glucocorticoid treatment; n = 210 glucocorticoid treatment) versus 392 healthy children and assessed interaction with sex and age, role of glucocorticoid treatment in the PICU and associations with long-term developmental impairments. Adjusting for technical variation and baseline risk factors and correcting for multiple testing (false discovery rate < 0.05), former PICU patients showed abnormal DNA methylation of 26 CpG sites (within CRHR1, POMC, MC2R, NR3C1, FKBP5, HSD11B1, SRD5A1, AKR1D1, DUSP1, TSC22D3 and TNF) and three DNA regions (within AVP, TSC22D3 and TNF) that were mostly hypomethylated. These abnormalities were sex-independent and only partially age-dependent. Abnormal methylation of three CpG sites within FKBP5 and one CpG site within SRD5A1 and AKR1D1 was partly attributable to glucocorticoid treatment during PICU stay. Finally, abnormal methylation within FKBP5 and AKR1D1 was most robustly associated with long-term impaired development. CONCLUSIONS Two years after critical illness in children, abnormal methylation within HPA-axis genes was present, predominantly within FKBP5 and AKR1D1, partly attributable to glucocorticoid treatment in the PICU, and explaining part of the long-term developmental impairments. These data call for caution regarding liberal glucocorticoid use in the PICU.
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Affiliation(s)
- Grégoire Coppens
- Clinical Division and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Ilse Vanhorebeek
- Clinical Division and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Fabian Güiza
- Clinical Division and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Inge Derese
- Clinical Division and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Pieter J Wouters
- Clinical Division and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Arno Téblick
- Clinical Division and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium
| | - Karolijn Dulfer
- Division of Paediatric Intensive Care Unit, Department of Neonatal and Paediatric ICU, Erasmus Medical Centre, Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Koen F Joosten
- Division of Paediatric Intensive Care Unit, Department of Neonatal and Paediatric ICU, Erasmus Medical Centre, Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Sascha C Verbruggen
- Division of Paediatric Intensive Care Unit, Department of Neonatal and Paediatric ICU, Erasmus Medical Centre, Sophia Children's Hospital, Rotterdam, The Netherlands
| | - Greet Van den Berghe
- Clinical Division and Laboratory of Intensive Care Medicine, Department of Cellular and Molecular Medicine, KU Leuven, Herestraat 49, 3000, Leuven, Belgium.
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Armenta-Castro A, Núñez-Soto MT, Rodriguez-Aguillón KO, Aguayo-Acosta A, Oyervides-Muñoz MA, Snyder SA, Barceló D, Saththasivam J, Lawler J, Sosa-Hernández JE, Parra-Saldívar R. Urine biomarkers for Alzheimer's disease: A new opportunity for wastewater-based epidemiology? ENVIRONMENT INTERNATIONAL 2024; 184:108462. [PMID: 38335627 DOI: 10.1016/j.envint.2024.108462] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 01/16/2024] [Accepted: 01/26/2024] [Indexed: 02/12/2024]
Abstract
While Alzheimer's disease (AD) diagnosis, management, and care have become priorities for healthcare providers and researcher's worldwide due to rapid population aging, epidemiologic surveillance efforts are currently limited by costly, invasive diagnostic procedures, particularly in low to middle income countries (LMIC). In recent years, wastewater-based epidemiology (WBE) has emerged as a promising tool for public health assessment through detection and quantification of specific biomarkers in wastewater, but applications for non-infectious diseases such as AD remain limited. This early review seeks to summarize AD-related biomarkers and urine and other peripheral biofluids and discuss their potential integration to WBE platforms to guide the first prospective efforts in the field. Promising results have been reported in clinical settings, indicating the potential of amyloid β, tau, neural thread protein, long non-coding RNAs, oxidative stress markers and other dysregulated metabolites for AD diagnosis, but questions regarding their concentration and stability in wastewater and the correlation between clinical levels and sewage circulation must be addressed in future studies before comprehensive WBE systems can be developed.
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Affiliation(s)
| | - Mónica T Núñez-Soto
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico
| | - Kassandra O Rodriguez-Aguillón
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Alberto Aguayo-Acosta
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Mariel Araceli Oyervides-Muñoz
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
| | - Shane A Snyder
- Nanyang Environment & Water Research Institute (NEWRI), Nanyang Technological University, Singapore
| | - Damià Barceló
- Department of Environmental Chemistry, Institute of Environmental Assessment and Water Research, IDAEA-CSIC, Jordi Girona, 18-26, 08034 Barcelona, Spain; Sustainability Cluster, School of Engineering at the UPES, Dehradun, Uttarakhand, India
| | - Jayaprakash Saththasivam
- Water Center, Qatar Environment & Energy Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Qatar
| | - Jenny Lawler
- Water Center, Qatar Environment & Energy Research Institute, Hamad Bin Khalifa University, Qatar Foundation, Qatar
| | - Juan Eduardo Sosa-Hernández
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico.
| | - Roberto Parra-Saldívar
- Tecnologico de Monterrey, School of Engineering and Sciences, Monterrey 64849, Mexico; Tecnologico de Monterrey, Institute of Advanced Materials for Sustainable Manufacturing, Monterrey 64849, Mexico
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Zhang DJ, Gao YL, Zhao JX, Zheng CH, Liu JX. A New Graph Autoencoder-Based Consensus-Guided Model for scRNA-seq Cell Type Detection. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 2024; 35:2473-2483. [PMID: 35857730 DOI: 10.1109/tnnls.2022.3190289] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Single-cell RNA sequencing (scRNA-seq) technology is famous for providing a microscopic view to help capture cellular heterogeneity. This characteristic has advanced the field of genomics by enabling the delicate differentiation of cell types. However, the properties of single-cell datasets, such as high dropout events, noise, and high dimensionality, are still a research challenge in the single-cell field. To utilize single-cell data more efficiently and to better explore the heterogeneity among cells, a new graph autoencoder (GAE)-based consensus-guided model (scGAC) is proposed in this article. The data are preprocessed into multiple top-level feature datasets. Then, feature learning is performed by using GAEs to generate new feature matrices, followed by similarity learning based on distance fusion methods. The learned similarity matrices are fed back to the GAEs to guide their feature learning process. Finally, the abovementioned steps are iterated continuously to integrate the final consistent similarity matrix and perform other related downstream analyses. The scGAC model can accurately identify critical features and effectively preserve the internal structure of the data. This can further improve the accuracy of cell type identification.
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Zhang Y, Butelman ER, Kreek MJ. Effect of prenatal and early post-natal oxycodone exposure on the reinforcing and antinociceptive effects of oxycodone in adult C57BL/6 J mice. Psychopharmacology (Berl) 2024; 241:359-377. [PMID: 38086926 DOI: 10.1007/s00213-023-06493-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/24/2023] [Accepted: 10/25/2023] [Indexed: 01/24/2024]
Abstract
Abuse of opioids (mu-opioid agonists such as oxycodone) among parents during the gestation and early post-natal period is a concern for the long-term health of the offspring, beyond potential neonatal withdrawal symptoms. However, there is only limited information on such effects. OBJECTIVES We examined how prenatal, and early-post natal oxycodone exposure affected opioid addiction behaviors. METHODS Adult male and female C57BL/CJ mice housed separately were first injected with ascending doses of oxycodone 1 time/day (1 mg/kg × 10 days, 1.5 mg/kg × 10 days, 2 mg/kg × 10 days, s.c.) whereas control mice were injected with saline. Newly formed parental dyads were then housed together and continued to receive ascending doses of oxycodone (3 mg/kg × 10 days, 4 mg/kg × 10 days, 5 mg/kg × 10 days, 6 mg/kg × 10 days or saline, s.c.) or saline during mating and gestation until the birth of the litter. The dams continued to receive oxycodone or saline through lactation, until F1 offspring were weaned. Upon reaching adulthood (12 weeks of age), male and female F1 offspring were examined in intravenous self-administration (IVSA) of oxycodone, on oxycodone-induced conditioned place preference (CPP) and oxycodone-induced antinociception. RESULTS Adult F1 male and female offspring of parental dyads exposed to oxycodone self-administered more oxycodone, compared to offspring of control parental dyads. Ventral and dorsal striatal mRNA levels of genes such as Fkbp5 and Oprm1 were altered following oxycodone self-administration. CONCLUSION Prenatal and early post-natal oxycodone exposure enhanced oxycodone self-administration during adulthood in the C57BL/6 J mice.
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Affiliation(s)
- Yong Zhang
- Laboratory of the Biology of Addictive Diseases, The Rockefeller University, 1230 York Avenue, Box 171, New York, NY, 10065, USA.
| | - Eduardo R Butelman
- Laboratory of the Biology of Addictive Diseases, The Rockefeller University, 1230 York Avenue, Box 171, New York, NY, 10065, USA
- Neuropsychoimaging of Addictions and Related Conditions Research Program, Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA
| | - Mary Jeanne Kreek
- Laboratory of the Biology of Addictive Diseases, The Rockefeller University, 1230 York Avenue, Box 171, New York, NY, 10065, USA
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Phan BN, Ray MH, Xue X, Fu C, Fenster RJ, Kohut SJ, Bergman J, Haber SN, McCullough KM, Fish MK, Glausier JR, Su Q, Tipton AE, Lewis DA, Freyberg Z, Tseng GC, Russek SJ, Alekseyev Y, Ressler KJ, Seney ML, Pfenning AR, Logan RW. Single nuclei transcriptomics in human and non-human primate striatum in opioid use disorder. Nat Commun 2024; 15:878. [PMID: 38296993 PMCID: PMC10831093 DOI: 10.1038/s41467-024-45165-7] [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: 08/07/2023] [Accepted: 01/12/2024] [Indexed: 02/02/2024] Open
Abstract
In brain, the striatum is a heterogenous region involved in reward and goal-directed behaviors. Striatal dysfunction is linked to psychiatric disorders, including opioid use disorder (OUD). Striatal subregions are divided based on neuroanatomy, each with unique roles in OUD. In OUD, the dorsal striatum is involved in altered reward processing, formation of habits, and development of negative affect during withdrawal. Using single nuclei RNA-sequencing, we identified both canonical (e.g., dopamine receptor subtype) and less abundant cell populations (e.g., interneurons) in human dorsal striatum. Pathways related to neurodegeneration, interferon response, and DNA damage were significantly enriched in striatal neurons of individuals with OUD. DNA damage markers were also elevated in striatal neurons of opioid-exposed rhesus macaques. Sex-specific molecular differences in glial cell subtypes associated with chronic stress were found in OUD, particularly female individuals. Together, we describe different cell types in human dorsal striatum and identify cell type-specific alterations in OUD.
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Affiliation(s)
- BaDoi N Phan
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
- Medical Scientist Training Program, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15213, USA
| | - Madelyn H Ray
- Department of Pharmacology, Physiology & Biophysics, Boston University School of Medicine, Boston, MA, 02118, USA
- Whitaker Cardiovascular Institute, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Xiangning Xue
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Chen Fu
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA
| | - Robert J Fenster
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Division of Depression and Anxiety, McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, 02478, USA
| | - Stephen J Kohut
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Behavioral Biology Program, McLean Hospital, Belmont, MA, 02478, USA
| | - Jack Bergman
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Behavioral Biology Program, McLean Hospital, Belmont, MA, 02478, USA
| | - Suzanne N Haber
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Department of Pharmacology and Physiology, University of Rochester, School of Medicine, Rochester, NY, 14642, USA
| | - Kenneth M McCullough
- Basic Neuroscience Division, Department of Psychiatry, Harvard Medical School, McLean Hospital, Belmont, MA, 02478, USA
| | - Madeline K Fish
- Center for Systems Neuroscience, Boston University, Boston, MA, 02118, USA
- Graduate Program for Neuroscience, Boston University, Boston, MA, 02118, USA
| | - Jill R Glausier
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15219, USA
| | - Qiao Su
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA
| | - Allison E Tipton
- Center for Systems Neuroscience, Boston University, Boston, MA, 02118, USA
- Graduate Program for Neuroscience, Boston University, Boston, MA, 02118, USA
| | - David A Lewis
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15219, USA
| | - Zachary Freyberg
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15219, USA
- Department of Cell Biology, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15219, USA
| | - George C Tseng
- Department of Biostatistics, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Shelley J Russek
- Department of Pharmacology, Physiology & Biophysics, Boston University School of Medicine, Boston, MA, 02118, USA
- Center for Systems Neuroscience, Boston University, Boston, MA, 02118, USA
- Graduate Program for Neuroscience, Boston University, Boston, MA, 02118, USA
| | - Yuriy Alekseyev
- Department of Pathology and Laboratory Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Kerry J Ressler
- Department of Psychiatry, Harvard Medical School, Boston, MA, 02115, USA
- Division of Depression and Anxiety, McLean Hospital, Department of Psychiatry, Harvard Medical School, Belmont, MA, 02478, USA
| | - Marianne L Seney
- Department of Psychiatry, University of Pittsburgh School of Medicine, Pittsburgh, PA, 15219, USA
| | - Andreas R Pfenning
- Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
- Neuroscience Institute, Carnegie Mellon University, Pittsburgh, PA, 15213, USA.
| | - Ryan W Logan
- Department of Pharmacology, Physiology & Biophysics, Boston University School of Medicine, Boston, MA, 02118, USA.
- Department of Psychiatry, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
- Department of Neurobiology, University of Massachusetts Chan Medical School, Worcester, MA, 01605, USA.
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48
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Theodoridou D, Tsiantis CO, Vlaikou AM, Chondrou V, Zakopoulou V, Christodoulides P, Oikonomou ED, Tzimourta KD, Kostoulas C, Tzallas AT, Tsamis KI, Peschos D, Sgourou A, Filiou MD, Syrrou M. Developmental Dyslexia: Insights from EEG-Based Findings and Molecular Signatures-A Pilot Study. Brain Sci 2024; 14:139. [PMID: 38391714 PMCID: PMC10887023 DOI: 10.3390/brainsci14020139] [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: 11/23/2023] [Revised: 01/25/2024] [Accepted: 01/26/2024] [Indexed: 02/24/2024] Open
Abstract
Developmental dyslexia (DD) is a learning disorder. Although risk genes have been identified, environmental factors, and particularly stress arising from constant difficulties, have been associated with the occurrence of DD by affecting brain plasticity and function, especially during critical neurodevelopmental stages. In this work, electroencephalogram (EEG) findings were coupled with the genetic and epigenetic molecular signatures of individuals with DD and matched controls. Specifically, we investigated the genetic and epigenetic correlates of key stress-associated genes (NR3C1, NR3C2, FKBP5, GILZ, SLC6A4) with psychological characteristics (depression, anxiety, and stress) often included in DD diagnostic criteria, as well as with brain EEG findings. We paired the observed brain rhythms with the expression levels of stress-related genes, investigated the epigenetic profile of the stress regulator glucocorticoid receptor (GR) and correlated such indices with demographic findings. This study presents a new interdisciplinary approach and findings that support the idea that stress, attributed to the demands of the school environment, may act as a contributing factor in the occurrence of the DD phenotype.
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Affiliation(s)
- Daniela Theodoridou
- Laboratory of Biology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
| | - Christos-Orestis Tsiantis
- Laboratory of Biology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
| | - Angeliki-Maria Vlaikou
- Biomedical Research Institute, Foundation for Research and Technology-Hellas (FORTH), 45110 Ioannina, Greece
- Laboratory of Biochemistry, Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
| | - Vasiliki Chondrou
- Laboratory of Biology, School of Science and Technology, Hellenic Open University, 26335 Patras, Greece
| | - Victoria Zakopoulou
- Department of Speech and Language Therapy, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
| | - Pavlos Christodoulides
- Department of Speech and Language Therapy, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
- Laboratory of Physiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
| | - Emmanouil D Oikonomou
- Department of Informatics and Telecommunications, School of Informatics & Telecommunications, University of Ioannina, 47100 Arta, Greece
| | - Katerina D Tzimourta
- Department of Electrical and Computer Engineering, University of Western Macedonia, 50100 Kozani, Greece
| | - Charilaos Kostoulas
- Laboratory of Medical Genetics, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
| | - Alexandros T Tzallas
- Department of Informatics and Telecommunications, School of Informatics & Telecommunications, University of Ioannina, 47100 Arta, Greece
| | - Konstantinos I Tsamis
- Laboratory of Physiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
| | - Dimitrios Peschos
- Laboratory of Physiology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
| | - Argyro Sgourou
- Laboratory of Biology, School of Science and Technology, Hellenic Open University, 26335 Patras, Greece
| | - Michaela D Filiou
- Biomedical Research Institute, Foundation for Research and Technology-Hellas (FORTH), 45110 Ioannina, Greece
- Laboratory of Biochemistry, Department of Biological Applications and Technology, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
| | - Maria Syrrou
- Laboratory of Biology, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece
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49
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Liu G, Lipari P, Mollin A, Jung S, Teplova I, Li W, Ying L, More V, Lennox W, Yeh S, McGann E, Moon YC, Rice C, Huarte E, Gruszka B, Ray B, Goodwin E, Buckendahl P, Yurkow E, Braughton B, Narasimhan J, Welch E, Voronin G, Weetall M. Comparison of pharmaceutical properties and biological activities of prednisolone, deflazacort, and vamorolone in DMD disease models. Hum Mol Genet 2024; 33:211-223. [PMID: 37819629 PMCID: PMC10800023 DOI: 10.1093/hmg/ddad173] [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: 10/26/2022] [Revised: 09/26/2023] [Accepted: 10/09/2023] [Indexed: 10/13/2023] Open
Abstract
Duchenne muscular dystrophy (DMD) is a progressive disabling X-linked recessive disorder that causes gradual and irreversible loss of muscle, resulting in early death. The corticosteroids prednisone/prednisolone and deflazacort are used to treat DMD as the standard of care; however, only deflazacort is FDA approved for DMD. The novel atypical corticosteroid vamorolone is being investigated for treatment of DMD. We compared the pharmaceutical properties as well as the efficacy and safety of the three corticosteroids across multiple doses in the B10-mdx DMD mouse model. Pharmacokinetic studies in the mouse and evaluation of p-glycoprotein (P-gP) efflux in a cellular system demonstrated that vamorolone is not a strong P-gp substrate resulting in measurable central nervous system (CNS) exposure in the mouse. In contrast, deflazacort and prednisolone are strong P-gp substrates. All three corticosteroids showed efficacy, but also side effects at efficacious doses. After dosing mdx mice for two weeks, all three corticosteroids induced changes in gene expression in the liver and the muscle, but prednisolone and vamorolone induced more changes in the brain than did deflazacort. Both prednisolone and vamorolone induced depression-like behavior. All three corticosteroids reduced endogenous corticosterone levels, increased glucose levels, and reduced osteocalcin levels. Using micro-computed tomography, femur bone density was decreased, reaching significance with prednisolone. The results of these studies indicate that efficacious doses of vamorolone, are associated with similar side effects as seen with other corticosteroids. Further, because vamorolone is not a strong P-gp substrate, vamorolone distributes into the CNS increasing the potential CNS side-effects.
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Affiliation(s)
- Grace Liu
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Philip Lipari
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Anna Mollin
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Stephen Jung
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Irina Teplova
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Wencheng Li
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Lanqing Ying
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Vijay More
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - William Lennox
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Shirley Yeh
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Eric McGann
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Young-Choon Moon
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Cari Rice
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Eduardo Huarte
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Barbara Gruszka
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Balmiki Ray
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Elizabeth Goodwin
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Patricia Buckendahl
- Rutgers University, Molecular Imaging Center, 41 Gordon Road, Piscataway, NJ 08854, United States
| | - Edward Yurkow
- Rutgers University, Molecular Imaging Center, 41 Gordon Road, Piscataway, NJ 08854, United States
| | - Bruce Braughton
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Jana Narasimhan
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Ellen Welch
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Gregory Voronin
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
| | - Marla Weetall
- PTC Therapeutics, Inc., 100 Corporate Court, South Plainfield, NJ 07080, United States
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50
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Diehl N, Kibiryeva N, Marshall J, Tsai SL, Farias JS, Silva-Gburek J, Erickson LA. SNARE-ing the Reason for Post-Cardiac Surgery Critical Illness-Related Corticosteroid Insufficiency. Genes (Basel) 2024; 15:128. [PMID: 38275610 PMCID: PMC10815126 DOI: 10.3390/genes15010128] [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: 12/15/2023] [Revised: 01/09/2024] [Accepted: 01/17/2024] [Indexed: 01/27/2024] Open
Abstract
Critical illness-related corticosteroid insufficiency (CIRCI) can cause hemodynamic instability in neonates after congenital heart surgery with manifestations that increase morbidity and potential mortality. We retrospectively reviewed neonates who underwent cardiac surgery between August 2018 and July 2020 at a freestanding children's hospital, had next-generation sequencing performed, and had their cortisol levels drawn as standard clinical care after cardiac surgery. The groups were defined as CIRCI (with a cortisol level ≤ 4.5 mcg/dL) and non-CIRCI (level > 4.5 mcg/dL). The CIRCI group (n = 8) had a 100% incidence of heterozygous gene mutation on STX1A with splicing or loss of function, and this mutation was not found in the non-CIRCI group (n = 8). Additional gene mutations were found in the CIRCI group on RAB6A, ABCA3, SIDT2, and LILRB3, with no incidence in the non-CIRCI group. Three additional mutations were found across the CIRCI group in INPPL1 and FAM189A2 (both splicing and missense), with 12-25% of patients in the non-CIRCI group also displaying these mutations. Novel genetic abnormalities were seen in neonates with symptoms of CIRCI with potential cardiac implications from a gene mutation for STX1A. Compounding effects of additional gene mutations need to be confirmed and explored for potential predisposition to hemodynamic instability during times of stress.
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Affiliation(s)
- Nicholas Diehl
- Graduate Medical Education, Kansas City University, Kansas City, MO 64106, USA
| | - Natalia Kibiryeva
- Biosciences, Kansas City University, Kansas City, MO 64106, USA;
- Ward Family Heart Center, Children’s Mercy Kansas City, Kansas City, MO 64108, USA
| | - Jennifer Marshall
- Strategy, Innovation, and Partnerships, Children’s Mercy Kansas City, Kansas City, MO 64108, USA;
| | - Sarah L. Tsai
- Endocrinology, Children’s Mercy Kansas City, Kansas City, MO 64108, USA;
- School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA;
| | - Juan S. Farias
- Graduate Medical Education, Children’s Mercy Kansas City, Kansas City, MO 64108, USA;
| | - Jaime Silva-Gburek
- School of Medicine, University of Missouri-Kansas City, Kansas City, MO 64108, USA;
- Department of Critical Care, Children’s Mercy Kansas City, Kansas City, MO 64108, USA
| | - Lori A. Erickson
- Ward Family Heart Center, Children’s Mercy Kansas City, Kansas City, MO 64108, USA
- Strategy, Innovation, and Partnerships, Children’s Mercy Kansas City, Kansas City, MO 64108, USA;
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