1
|
Suleri A, Creasey N, Walton E, Muetzel R, Felix JF, Duijts L, Bergink V, Cecil CAM. Mapping prenatal predictors and neurobehavioral outcomes of an epigenetic marker of neonatal inflammation - A longitudinal population-based study. Brain Behav Immun 2024; 122:483-496. [PMID: 39209009 DOI: 10.1016/j.bbi.2024.08.053] [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: 06/14/2024] [Revised: 08/19/2024] [Accepted: 08/26/2024] [Indexed: 09/04/2024] Open
Abstract
BACKGROUND DNA methylation levels at specific sites can be used to proxy C-reactive protein (CRP) levels, providing a potentially more stable and accurate indicator of sustained inflammation and associated health risk. However, its use has been primarily limited to adults or preterm infants, and little is known about determinants for - or offspring outcomes of - elevated levels of this epigenetic proxy in cord blood. The aim of this study was to comprehensively map prenatal predictors and long-term neurobehavioral outcomes of neonatal inflammation, as assessed with an epigenetic proxy of inflammation in cord blood, in the general pediatric population. METHODS Our study was embedded in the prospective population-based Generation R Study (n = 2,394). We created a methylation profile score of CRP (MPS-CRP) in cord blood as a marker of neonatal inflammation and validated it against serum CRP levels in mothers during pregnancy, as well as offspring at birth and in childhood. We then examined (i) which factors (previously associated with sustained inflammation) explain variability in MPS-CRP at birth, including a wide range of prenatal lifestyle and clinical conditions, pro-inflammatory exposures, as well as child genetic liability to elevated CRP levels; and (ii) whether MPS-CRP at birth associates with child neurobehavioral outcomes, including global structural MRI and DTI measures (child mean age 10 and 14 years) as well as psychiatric symptoms over time (Child Behavioral Checklist, at mean age 1.5, 3, 6, 10 and 14 years). RESULTS MPS-CRP at birth was validated with serum CRP in cord blood (cut-off > 1 mg/L) (AUC = 0.72). Prenatal lifestyle pro-inflammatory factors explained a small part (i.e., < 5%) of the variance in the MPS-CRP at birth. No other prenatal predictor or the polygenic score of CRP in the child explained significant variance in the MPS-CRP at birth. The MPS-CRP at birth prospectively associated with a reduction in global fractional anisotropy over time on mainly a nominal threshold (β = -0.014, SE = 0.007, p = 0.032), as well as showing nominal associations with structural differences (amygdala [(β = 0.016, SE = 0.006, p = 0.010], cerebellum [(β = -0.007, SE = 0.003, p = 0.036]). However, no associations with child psychiatric symptoms were observed. CONCLUSION Prenatal exposure to lifestyle-related pro-inflammatory factors was the only prenatal predictor that accounted for some of the individual variability in MPS-CRP levels at birth. Further, while the MPS-CRP prospectively associated with white matter alterations over time, no associations were observed at the behavioral level. Thus, the relevance and potential utility of using epigenetic data as a marker of neonatal inflammation in the general population remain unclear. In the future, the use of epigenetic proxies for a wider range of immune markers may lend further insights into the relationship between neonatal inflammation and adverse neurodevelopment within the general pediatric population.
Collapse
Affiliation(s)
- Anna Suleri
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Nicole Creasey
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Clinical, Educational & Health Psychology, Division of Psychology & Language Sciences, Faculty of Brain Sciences, University College London, London, UK
| | - Esther Walton
- Department of Psychology, University of Bath, Bath, UK
| | - Ryan Muetzel
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Janine F Felix
- The Generation R Study Group, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Pediatrics, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Liesbeth Duijts
- Department of Pediatrics, Division of Respiratory Medicine and Allergology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Neonatal and Pediatric Intensive Care, Division of Neonatology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Veerle Bergink
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA; Department of Psychiatry, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Charlotte A M Cecil
- Department of Child and Adolescent Psychiatry/Psychology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Epidemiology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, the Netherlands; Department of Biomedical Data Sciences, Molecular Epidemiology, Leiden University Medical Center, Leiden, the Netherlands.
| |
Collapse
|
2
|
Ortega N, Schütte L, de Crom TOE, Voortman T, Okereke OI, Vinceti M, von Gunten A, Marques-Vidal P, Rodondi N, Chiolero A, Chocano-Bedoya PO. Dietary patterns, inflammatory biomarkers and cognition in older adults: An analysis of three population-based cohorts. Clin Nutr 2024; 43:2336-2343. [PMID: 39236406 DOI: 10.1016/j.clnu.2024.08.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2024] [Revised: 07/22/2024] [Accepted: 08/21/2024] [Indexed: 09/07/2024]
Abstract
BACKGROUND Targeting effective strategies to prevent cognitive decline is key in the aging population. Some diets have been linked to a slower cognitive decline, potentially through reducing inflammation. We aimed at determining the effect of inflammatory dietary patterns (IDPs) on cognitive function in three population-based cohorts. METHODS In this longitudinal study, we analyzed data from the Canadian Longitudinal Study of Aging, CoLaus|PsyCoLaus and Rotterdam Study. Our analytical sample included participants over 55 years old with baseline data on cognition, dietary intake, and inflammatory markers. IDPs were derived for each cohort using reduced rank regression to reflect maximal variation in three inflammatory markers. We calculated scores of consumption of the IDPs, higher scores indicating more IDP consumption. We used inverse probability of treatment and censoring weights in the marginal structural models to estimate associations of higher versus lower quarters of consumption of an IDP on general cognition (Mini-Mental State Evaluation) and four cognitive domains (memory, verbal fluency, verbal learning and processing speed and executive function) during at least 3 years of follow-up. RESULTS We included 10,366 participants (mean age 68) followed-up for a mean of 5 years. Diet explained between 1 and 2% of the variation of the inflammatory markers. There were no differences in general cognition when comparing the highest to the lowest quarter of consumption of IDPs among the three cohorts. Mean differences for the four cognitive domains were of small magnitude across cohorts and not clinically relevant. CONCLUSION Diet explained low variation in inflammatory markers. Consuming IDPs was not associated with mean differences in general or domain-specific cognitive function.
Collapse
Affiliation(s)
- Natalia Ortega
- Institute for Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland; Graduate School for Health Sciences, University of Bern, Bern, Switzerland.
| | - Leona Schütte
- Institute for Primary Health Care (BIHAM), University of Bern, Bern, Switzerland
| | - Tosca O E de Crom
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Trudy Voortman
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands; Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, CA, USA
| | - Olivia I Okereke
- Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA
| | - Marco Vinceti
- Environmental, Genetic and Nutritional Epidemiology Research Center, Department of Biomedical, Metabolic and Neural Sciences, University of Modena and Reggio Emilia, Italy; Department of Epidemiology, Boston University School of Public Health, Boston, MA, USA
| | - Armin von Gunten
- Service of Old-Age Psychiatry, Department of Psychiatry, Lausanne University Hospital, Lausanne, Switzerland
| | - Pedro Marques-Vidal
- Department of Medicine, Internal Medicine, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland
| | - Nicolas Rodondi
- Institute for Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Department of General Internal Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Arnaud Chiolero
- Institute for Primary Health Care (BIHAM), University of Bern, Bern, Switzerland; Population Health Laboratory (#PopHealthLab), University of Fribourg, Fribourg, Switzerland; School of Population and Global Health, McGill University, Montreal, Canada
| | | |
Collapse
|
3
|
Wang Z, Wallace DA, Spitzer BW, Huang T, Taylor K, Rotter JI, Rich SS, Liu PY, Daviglus ML, Hou L, Ramos AR, Kaur S, Durda JP, González HM, Fornage M, Redline S, Isasi CR, Sofer T. Analysis of C-reactive protein omics-measures associates methylation risk score with sleep health and related health outcomes. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2024:2024.09.04.24313008. [PMID: 39281736 PMCID: PMC11398435 DOI: 10.1101/2024.09.04.24313008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 09/18/2024]
Abstract
Introduction DNA methylation (DNAm) predictors of high sensitivity C-reactive protein (CRP) offer a stable and accurate means of assessing chronic inflammation, bypassing the CRP protein fluctuations secondary to acute illness. Poor sleep health is associated with elevated inflammation (including elevated blood CRP levels) which may explain associations of sleep insufficiency with metabolic, cardiovascular and neurological diseases. Our study aims to characterize the relationships among sleep health phenotypes and CRP markers -blood, genetic, and epigenetic indicators-within the Hispanic Community Health Study/Study of Latinos (HCHS/SOL). Methods In HCHS/SOL, methylation risk scores (MRS)-CRP and polygenetic risk score (PRS)-CRP were constructed separately as weighted sums of methylation beta values or allele counts, respectively, for each individual. Sleep health phenotypes were measured using self-reported questionnaires and objective measurements. Survey-weighted linear regression established the association between the multiple sleep phenotypes (obstructive sleep apnea (OSA), sleep duration, insomnia and excessive sleepiness symptom), cognitive assessments, diabetes and hypertension with CRP markers while adjusting for age, sex, BMI, study center, and the first five principal components of genetic ancestry in HCHS/SOL. Results We included 2221 HCHS/SOL participants (age range 37-76 yrs, 65.7% female) in the analysis. Both the MRS-CRP (95% confidence interval (CI): 0.32-0.42, p = 3.3 × 10-38) and the PRS-CRP (95% CI: 0.15-0.25, p = 1 × 10-14) were associated with blood CRP level. Moreover, MRS-CRP was associated with sleep health phenotypes (OSA, long sleep duration) and related conditions (diabetes and hypertension), while PRS-CRP markers were not associated with these traits. Circulating CRP level was associated with sleep duration and diabetes. Associations between OSA traits and metabolic comorbidities weakened after adjusting for MRS-CRP, most strongly for diabetes, and least for hypertension. Conclusions MRS-CRP is a promising estimate for systemic and chronic inflammation as reflected by circulating CRP levels, which either mediates or serves as a common cause of the association between sleep phenotypes and related comorbidities, especially in the presence of diabetes.
Collapse
Affiliation(s)
- Ziqing Wang
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
| | - Danielle A Wallace
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Brian W Spitzer
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
| | - Tianyi Huang
- Laboratory of Epidemiology and Population Sciences, Intramural Research Program, National Institute on Aging, Baltimore, MD, USA
| | - Kent Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Jerome I Rotter
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Stephen S Rich
- Center for Public Health Genomics, University of Virginia School of Medicine, Charlottesville, VA, USA
| | - Peter Y Liu
- Division of Genetics, Lundquist Institute at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Martha L Daviglus
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Lifang Hou
- Department of Preventive Medicine, Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | - Alberto R Ramos
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Sonya Kaur
- Department of Neurology, University of Miami Miller School of Medicine, Miami, FL, USA
| | - J Peter Durda
- Department of Pathology and Laboratory Medicine, University of Vermont, Burlington, Vermont, USA
| | - Hector M González
- Department of Neurosciences and Shiley-Marcos Alzheimer's Disease Center, University of California, San Diego, La Jolla, CA, USA
| | - Myriam Fornage
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX, USA
- Brown Foundation Institute of Molecular Medicine, McGovern Medical School, University of Texas Health Science Center at Houston, Houston, TX, USA
| | - Susan Redline
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Carmen R Isasi
- Department of Epidemiology & Population Health, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Tamar Sofer
- Cardiovascular Institute, Beth Israel Deaconess Medical Center, Boston, MA, USA
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Sleep Medicine and Circadian Disorders, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Department of Biostatistics, Harvard T.H Chan School of Public Health, Boston, MA, USA
| |
Collapse
|
4
|
Li X, Zeng H, Zhang L, Zhang J, Guo Y, Leng J. An integrated LC-MS/MS platform for noninvasive urinary nucleus acid adductomics: A pilot study for tobacco exposure. JOURNAL OF HAZARDOUS MATERIALS 2024; 474:134780. [PMID: 38861899 DOI: 10.1016/j.jhazmat.2024.134780] [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: 04/12/2024] [Revised: 05/22/2024] [Accepted: 05/29/2024] [Indexed: 06/13/2024]
Abstract
Tobacco smoke exposure significantly increases the level of global nucleoside damage. To evaluate all aspects of nucleic acid (NA) modifications, NA adductomics analyzes DNA, RNA and nucleobase adducts and provides comprehensive data. Liquid chromatography-tandem triple quadrupole mass spectrometry (LC-QQQ-MS/MS) and LC-Zeno-TOF-MS/MS were employed to screen for DNA, RNA and nucleobase adducts, as part of the analytical platform that was designed to combine high sensitivity and high resolution detection. We identified and distinguished urine nucleoside adducts via precursor ion and neutral loss scanning. A total of 245 potential adducts were detected, of which 28 were known adducts. The smoking group had significantly higher concentrations of nucleoside adducts in rat urine than the control group, based on MRM scanning, which was then used to perform relative quantitative analysis of these adducts. Urine nucleoside adducts were further confirmed using LC-Zeno-TOF-MS/MS. This highlights the potential of untargeted detection methods to provide comprehensive data on both known and unknown adducts. These approaches can be used to investigate the interactions among oxidative and alkylation stresses, and epigenetic modifications caused by exposure to tobacco smoke.
Collapse
Affiliation(s)
- Xiaoqing Li
- Comprehensive Exposure Research Center, School of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, China
| | - Hui Zeng
- Comprehensive Exposure Research Center, School of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, China
| | - Li Zhang
- National Center for Organic Mass Spectrometry in Shanghai, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, PR China
| | - Jing Zhang
- National Center for Organic Mass Spectrometry in Shanghai, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, PR China
| | - Yinlong Guo
- National Center for Organic Mass Spectrometry in Shanghai, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai 200032, PR China.
| | - Jiapeng Leng
- Comprehensive Exposure Research Center, School of Pharmacy, Liaoning University of Traditional Chinese Medicine, Dalian 116600, China.
| |
Collapse
|
5
|
Zhang C, Deng J, Li K, Lai G, Liu H, Zhang Y, Zeng H, Li W, Zhong X, Wang Y, Xie B. Causal association of monocytes with chronic kidney disease and the mediation role of frailty: A study integrating large-scale two-sample Mendelian randomization and single-cell analysis. Arch Gerontol Geriatr 2024; 123:105435. [PMID: 38583266 DOI: 10.1016/j.archger.2024.105435] [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: 01/25/2024] [Revised: 03/31/2024] [Accepted: 04/01/2024] [Indexed: 04/09/2024]
Abstract
BACKGROUND Recent research reported that frailty was prevalent among adults with chronic kidney disease (CKD) in clinical trials, and monocytes illustrated a similar difference in these two diseases compared to the normal. However, the scientific evidence for a causal relationship between these two diseases was lacking, with further exploration into whether monocytes co-regulate them. METHODS We aimed to integrate large-scale Mendelian randomization (MR) and single-cell transcriptome analysis to determine whether there was a causal relationship between frailty and CKD (Bidirectional two-sample Mendelian determined the causal direction), whether monocytes impacted them, and whether the two diseases shared genetic variation sites. Based on 441 Genome-wide association study datasets, this study utilized five MR methods, multiple sensitivity analysis, and corresponding single-cell transcriptome datasets as proof. RESULTS The association between frailty and CKD was significantly causal, and frailty increased the risk of CKD in patients (OR (95 %CI): 3.5597 (1.8369-6.8982), p = 0.000168909). The exposure monocyte can increase the risk of frailty and CKD in patients, especially with high expression of HLA genes in these cells. The existing two-sample MR results cannot reject the hypothesis that monocytes increase the risk of CKD by inducing frailty. rs9275271' 1mb genetic location above and below had been proven to be an effective genetic space for both frailty and CKD. CONCLUSION We conducted the largest MR to date on frailty, monocyte, and CKD, and found a significant causal association between frailty and CKD, with the single-cell analysis confirmed. The exposure monocytes increased the risk of frailty and CKD, particularly with high expression of HLA genes in these cells. We identified a potential common genetic variant space, rs9275271, associated with frailty and CKD, providing insights into the genetic basis of these conditions.
Collapse
Affiliation(s)
- Cong Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing 400016, China; Yidu Cloud (Beijing) Technology Co., Beijing, China
| | - Jielian Deng
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing 400016, China
| | - Kangjie Li
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing 400016, China
| | - Guichuan Lai
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing 400016, China
| | - Hui Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing 400016, China
| | - Yuan Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing 400016, China
| | - Haijiao Zeng
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing 400016, China
| | - Wenlong Li
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing 400016, China
| | - Xiaoni Zhong
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing 400016, China.
| | - Yao Wang
- Yidu Cloud (Beijing) Technology Co., Beijing, China.
| | - Biao Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Chongqing Medical University, Yixue Road, Chongqing 400016, China.
| |
Collapse
|
6
|
Wang W, Chen Y, Shen Y, Chen J, Yao X, Cheng Y, Xu J, Ma L, Chen Y, Zhang C. Secretory Phenotype in Peripheral Blood Mononuclear Cells of Elderly Patients with Rheumatoid Arthritis. Rejuvenation Res 2024; 27:122-130. [PMID: 38814828 DOI: 10.1089/rej.2024.0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/01/2024] Open
Abstract
This study aims to investigate the expression differences of peripheral blood mononuclear cells (PBMCs) in patients with elderly rheumatoid arthritis (ERA). Differentially expressed genes (DEGs) of PBMCs between young patients with RA (RA_Y) and elderly patients with RA (RA_A) were identified by RNA sequencing using the DESeq2 package, followed by bioinformatics analysis. The overlapped targets of the current DEGs and proteomic differentially expressed proteins (another set of unpublished data) were identified and further validated. The bioinformatics analysis revealed significant transcriptomic heterogeneity between RA_A and RA_Y. A total of 348 upregulated and 363 downregulated DEGs were identified. Gene functional enrichment analysis indicated that the DEGs, which represented senescence phenotype for patients with ERA, were enriched in pathways such as Phosphatidylinositol3 kinase/AKT serine-threonine protein kinase (PI3K/Akt) signaling, Mitogen-activated protein kinases (MAPK) signaling, toll-like receptor family, neutrophil degranulation, and immune-related pathways. Gene set enrichment analysis further confirmed the activation of humoral immune response pathways in RA_A. Quantitative polymerase chain reaction validated the expression of five representative DEGs such as SPTA1, SPTB, VNN1, TNXB, and KRT1 in PBMCs of patients with ERA. Patients with ERA have significant senescence phenotype differences versus the young patients. The DEGs identified may facilitate exploring the biomarkers of senescence in RA.
Collapse
Affiliation(s)
- Wenlong Wang
- Department of Rheumatology and Immunology, First People's Hospital of Wenling, Wenling, P.R. China
| | - Yanjuan Chen
- Department of Geriatrics and Division of Rheumatology and Research, The Second Clinical Medical College, Jinan University (Shenzhen People's Hospital), Shenzhen, P.R. China
| | - Yidi Shen
- Department of Rheumatology and Immunology, Seventh People's Hospital of ShangHai University of Traditional Chinese Medicine, Shanghai, P.R. China
| | - Jian Chen
- Division of Traditional Medicine and Shanghai Integrated Traditional Chinese and Western Medicine Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, P.R. China
| | - Xiaoyang Yao
- Department of Clinical Laboratory, Seventh People's Hospital of Shanghai University of Traditional Chinese Medicine, Shanghai, P.R. China
| | - Yongjun Cheng
- Department of Rheumatology and Immunology, First People's Hospital of Wenling, Wenling, P.R. China
| | - Jinzhong Xu
- Department of Clinical Pharmacy, First People's Hospital of Wenling, Wenling, P.R. China
| | - Lisha Ma
- Department of Clinical Laboratory, First People's Hospital of Wenling, Wenling, P.R. China
| | - Yong Chen
- Department of Rheumatology and Immunology, Affiliated Hospital of Zunyi Medical University, Zunyi, China
| | - Chuanfu Zhang
- Department of Rheumatology and Immunology, Seventh People's Hospital of ShangHai University of Traditional Chinese Medicine, Shanghai, P.R. China
| |
Collapse
|
7
|
LaHue SC, Fuentealba M, Roa Diaz S, Seetharaman S, Garcia T, Furman D, Lai JC, Newman JC. Association of biological aging with frailty and post-transplant outcomes among adults with cirrhosis. GeroScience 2024; 46:3287-3295. [PMID: 38246968 PMCID: PMC11009173 DOI: 10.1007/s11357-024-01076-5] [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: 10/26/2023] [Accepted: 01/13/2024] [Indexed: 01/23/2024] Open
Abstract
Frailty is classically associated with advanced age but is also an important predictor of clinical outcomes in comparatively young adults with cirrhosis. We examined the association of biological aging with frailty and post-transplant outcomes in a pilot of adults with cirrhosis undergoing liver transplantation (LT). Frailty was measured via the Liver Frailty Index (LFI). The primary epigenetic clock DNA methylation (DNAm) PhenoAge was calculated from banked peripheral blood mononuclear cells; we secondarily explored two first-generation clocks (Hannum; Horvath) and two additional second-generation clocks (GrimAge; GrimAge2). Twelve adults were included: seven frail (LFI ≥ 4.4, mean age 55 years) and five robust (LFI < 3.2, mean age 55 years). Mean PhenoAge age acceleration (AgeAccel) was + 2.5 years (P = 0.23) for frail versus robust subjects. Mean PhenoAge AgeAccel was + 2.7 years (P = 0.19) for subjects who were readmitted or died within 30 days of discharge post-LT versus those without this outcome. When compared with first-generation clocks, the second-generation clocks demonstrated greater average AgeAccel for subjects with frailty or poor post-LT outcomes. Measuring biological age using DNAm-derived epigenetic clocks is feasible in adults undergoing LT. While frail and robust subjects had the same average chronological age, average biological age as measured by second-generation epigenetic clocks tended to be accelerated among those who were frail or experienced a poor post-LT outcome. These results suggest that frailty in these relatively young subjects with cirrhosis may involve similar aging mechanisms as frailty classically observed in chronologically older adults and warrant validation in a larger cohort.
Collapse
Affiliation(s)
- Sara C LaHue
- Department of Neurology, School of Medicine, University of California, San Francisco, CA, USA.
- Department of Neurology, UCSF Weill Institute for Neurosciences, University of California, 505 Parnassus Ave, Box 0114, San Francisco, CA, 94143, USA.
- Buck Institute for Research On Aging, Novato, CA, USA.
| | | | - Stephanie Roa Diaz
- Buck Institute for Research On Aging, Novato, CA, USA
- Division of Geriatrics, Department of Medicine, School of Medicine, University of California, San Francisco, CA, USA
| | - Srilakshmi Seetharaman
- Division of Gastroenterology and Hepatology, Department of Medicine, University of California-San Francisco, San Francisco, CA, USA
| | - Thelma Garcia
- Buck Institute for Research On Aging, Novato, CA, USA
- Division of Geriatrics, Department of Medicine, School of Medicine, University of California, San Francisco, CA, USA
| | - David Furman
- Buck Institute for Research On Aging, Novato, CA, USA
- Instituto de Investigaciones en Medicina Traslacional, Universidad Austral, Consejo Nacional de Investigaciones Científicas y Técnicas, 1629, Pilar, Argentina
- Stanford 1000 Immunomes Project, Stanford University School of Medicine, Stanford, CA, USA
| | - Jennifer C Lai
- Division of Gastroenterology and Hepatology, Department of Medicine, University of California-San Francisco, San Francisco, CA, USA
| | - John C Newman
- Buck Institute for Research On Aging, Novato, CA, USA
- Division of Geriatrics, Department of Medicine, School of Medicine, University of California, San Francisco, CA, USA
| |
Collapse
|
8
|
Hillary RF, Ng HK, McCartney DL, Elliott HR, Walker RM, Campbell A, Huang F, Direk K, Welsh P, Sattar N, Corley J, Hayward C, McIntosh AM, Sudlow C, Evans KL, Cox SR, Chambers JC, Loh M, Relton CL, Marioni RE, Yousefi PD, Suderman M. Blood-based epigenome-wide analyses of chronic low-grade inflammation across diverse population cohorts. CELL GENOMICS 2024; 4:100544. [PMID: 38692281 PMCID: PMC11099341 DOI: 10.1016/j.xgen.2024.100544] [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: 11/02/2023] [Revised: 02/09/2024] [Accepted: 04/03/2024] [Indexed: 05/03/2024]
Abstract
Chronic inflammation is a hallmark of age-related disease states. The effectiveness of inflammatory proteins including C-reactive protein (CRP) in assessing long-term inflammation is hindered by their phasic nature. DNA methylation (DNAm) signatures of CRP may act as more reliable markers of chronic inflammation. We show that inter-individual differences in DNAm capture 50% of the variance in circulating CRP (N = 17,936, Generation Scotland). We develop a series of DNAm predictors of CRP using state-of-the-art algorithms. An elastic-net-regression-based predictor outperformed competing methods and explained 18% of phenotypic variance in the Lothian Birth Cohort of 1936 (LBC1936) cohort, doubling that of existing DNAm predictors. DNAm predictors performed comparably in four additional test cohorts (Avon Longitudinal Study of Parents and Children, Health for Life in Singapore, Southall and Brent Revisited, and LBC1921), including for individuals of diverse genetic ancestry and different age groups. The best-performing predictor surpassed assay-measured CRP and a genetic score in its associations with 26 health outcomes. Our findings forge new avenues for assessing chronic low-grade inflammation in diverse populations.
Collapse
Affiliation(s)
- Robert F Hillary
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Hong Kiat Ng
- Lee Kong Chian School of Medicine, Nanyang Technological University, Clinical Sciences Building, Singapore 308232, Singapore
| | - Daniel L McCartney
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Hannah R Elliott
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK
| | - Rosie M Walker
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK; School of Psychology, University of Exeter, Exeter EX4 4QG, UK
| | - Archie Campbell
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Felicia Huang
- MRC Unit for Lifelong Health and Ageing, University College London, London WC1E 7HB, UK
| | - Kenan Direk
- Imperial Clinical Trials Unit, School of Public Health, Imperial College London, London SW7 2AZ, UK
| | - Paul Welsh
- School of Cardiovascular and Metabolic Health, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow G12 8TA, UK
| | - Naveed Sattar
- School of Cardiovascular and Metabolic Health, BHF Glasgow Cardiovascular Research Centre, University of Glasgow, Glasgow G12 8TA, UK
| | - Janie Corley
- Lothian Birth Cohort Studies, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - Caroline Hayward
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK; Medical Research Council Human Genetics Unit, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Andrew M McIntosh
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK; Division of Psychiatry, University of Edinburgh, Royal Edinburgh Hospital, Edinburgh EH10 5HF, UK
| | - Cathie Sudlow
- Centre for Clinical Brain Sciences, Edinburgh Imaging and UK Dementia Research Institute, University of Edinburgh, Edinburgh EH16 4SB, UK; British Heart Foundation Data Science Centre, Health Data Research UK, London NW1 2BE, UK; Health Data Research UK, London NW1 2BE, UK
| | - Kathryn L Evans
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK
| | - Simon R Cox
- Lothian Birth Cohort Studies, Department of Psychology, University of Edinburgh, Edinburgh EH8 9JZ, UK
| | - John C Chambers
- Lee Kong Chian School of Medicine, Nanyang Technological University, Clinical Sciences Building, Singapore 308232, Singapore; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London W2 1PG, UK
| | - Marie Loh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Clinical Sciences Building, Singapore 308232, Singapore; Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London W2 1PG, UK; National Skin Centre, Singapore 308205, Singapore; Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
| | - Caroline L Relton
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK
| | - Riccardo E Marioni
- Centre for Genomic and Experimental Medicine, Institute of Genetics and Cancer, University of Edinburgh, Edinburgh EH4 2XU, UK.
| | - Paul D Yousefi
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.
| | - Matthew Suderman
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol BS8 2BN, UK; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol BS8 1UD, UK.
| |
Collapse
|
9
|
Tamman AJF, Koller D, Nagamatsu S, Cabrera-Mendoza B, Abdallah C, Krystal JH, Gelernter J, Montalvo-Ortiz JL, Polimanti R, Pietrzak RH. Psychosocial moderators of polygenic risk scores of inflammatory biomarkers in relation to GrimAge. Neuropsychopharmacology 2024; 49:699-708. [PMID: 37848731 PMCID: PMC10876568 DOI: 10.1038/s41386-023-01747-5] [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] [Revised: 08/25/2023] [Accepted: 09/25/2023] [Indexed: 10/19/2023]
Abstract
GrimAge acceleration has previously predicted age-related morbidities and mortality. In the current study, we sought to examine how GrimAge is associated with genetic predisposition for systemic inflammation and whether psychosocial factors moderate this association. Military veterans from the National Health and Resilience in Veterans study, which surveyed a nationally representative sample of European American male veterans, provided saliva samples for genotyping (N = 1135). We derived polygenic risk scores (PRS) from the UK Biobank as markers of genetic predisposition to inflammation. Results revealed that PRS for three inflammatory PRS markers-HDL (lower), apolipoprotein B (lower), and gamma-glutamyl transferase (higher)-were associated with accelerated GrimAge. Additionally, these PRS interacted with a range of potentially modifiable psychosocial variables, such as exercise and gratitude, previously identified as associated with accelerated GrimAge. Using gene enrichment, we identified anti-inflammatory and antihistamine drugs that perturbate pathways of genes highly represented in the inflammatory PRS, laying the groundwork for future work to evaluate the potential of these drugs in mitigating epigenetic aging.
Collapse
Affiliation(s)
- Amanda J F Tamman
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA.
| | - Dora Koller
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Sheila Nagamatsu
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Brenda Cabrera-Mendoza
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Chadi Abdallah
- Department of Psychiatry, Baylor College of Medicine, Houston, TX, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - John H Krystal
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Joel Gelernter
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Janitza L Montalvo-Ortiz
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA
| | - Renato Polimanti
- Division of Human Genetics, Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
| | - Robert H Pietrzak
- Department of Psychiatry, Yale School of Medicine, New Haven, CT, USA
- U.S. Department of Veterans Affairs National Center for Posttraumatic Stress Disorder, Clinical Neurosciences Division, VA Connecticut Healthcare System, West Haven, CT, USA
- Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA
| |
Collapse
|