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Sfakianoudis K, Zikopoulos A, Grigoriadis S, Seretis N, Maziotis E, Anifandis G, Xystra P, Kostoulas C, Giougli U, Pantos K, Simopoulou M, Georgiou I. The Role of One-Carbon Metabolism and Methyl Donors in Medically Assisted Reproduction: A Narrative Review of the Literature. Int J Mol Sci 2024; 25:4977. [PMID: 38732193 PMCID: PMC11084717 DOI: 10.3390/ijms25094977] [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: 04/16/2024] [Revised: 04/29/2024] [Accepted: 04/29/2024] [Indexed: 05/13/2024] Open
Abstract
One-carbon (1-C) metabolic deficiency impairs homeostasis, driving disease development, including infertility. It is of importance to summarize the current evidence regarding the clinical utility of 1-C metabolism-related biomolecules and methyl donors, namely, folate, betaine, choline, vitamin B12, homocysteine (Hcy), and zinc, as potential biomarkers, dietary supplements, and culture media supplements in the context of medically assisted reproduction (MAR). A narrative review of the literature was conducted in the PubMed/Medline database. Diet, ageing, and the endocrine milieu of individuals affect both 1-C metabolism and fertility status. In vitro fertilization (IVF) techniques, and culture conditions in particular, have a direct impact on 1-C metabolic activity in gametes and embryos. Critical analysis indicated that zinc supplementation in cryopreservation media may be a promising approach to reducing oxidative damage, while female serum homocysteine levels may be employed as a possible biomarker for predicting IVF outcomes. Nonetheless, the level of evidence is low, and future studies are needed to verify these data. One-carbon metabolism-related processes, including redox defense and epigenetic regulation, may be compromised in IVF-derived embryos. The study of 1-C metabolism may lead the way towards improving MAR efficiency and safety and ensuring the lifelong health of MAR infants.
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Affiliation(s)
- Konstantinos Sfakianoudis
- Centre for Human Reproduction, Genesis Athens Clinic, 14-16, Papanikoli, 15232 Athens, Greece; (K.S.); (K.P.)
| | - Athanasios Zikopoulos
- Laboratory of Medical Genetics, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece; (A.Z.); (N.S.); (C.K.); (U.G.); (I.G.)
- Obstetrics and Gynecology, Royal Cornwall Hospital, Treliske, Truro TR1 3LJ, UK
| | - Sokratis Grigoriadis
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (S.G.); (E.M.); (P.X.)
| | - Nikolaos Seretis
- Laboratory of Medical Genetics, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece; (A.Z.); (N.S.); (C.K.); (U.G.); (I.G.)
| | - Evangelos Maziotis
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (S.G.); (E.M.); (P.X.)
| | - George Anifandis
- Department of Obstetrics and Gynecology, Faculty of Medicine, School of Health Sciences, University of Thessaly, 41222 Larisa, Greece;
| | - Paraskevi Xystra
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (S.G.); (E.M.); (P.X.)
| | - Charilaos Kostoulas
- Laboratory of Medical Genetics, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece; (A.Z.); (N.S.); (C.K.); (U.G.); (I.G.)
| | - Urania Giougli
- Laboratory of Medical Genetics, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece; (A.Z.); (N.S.); (C.K.); (U.G.); (I.G.)
| | - Konstantinos Pantos
- Centre for Human Reproduction, Genesis Athens Clinic, 14-16, Papanikoli, 15232 Athens, Greece; (K.S.); (K.P.)
| | - Mara Simopoulou
- Department of Physiology, Medical School, National and Kapodistrian University of Athens, 11527 Athens, Greece; (S.G.); (E.M.); (P.X.)
| | - Ioannis Georgiou
- Laboratory of Medical Genetics, Faculty of Medicine, School of Health Sciences, University of Ioannina, 45110 Ioannina, Greece; (A.Z.); (N.S.); (C.K.); (U.G.); (I.G.)
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Pamart G, Gosset P, Le Rouzic O, Pichavant M, Poulain-Godefroy O. Kynurenine Pathway in Respiratory Diseases. Int J Tryptophan Res 2024; 17:11786469241232871. [PMID: 38495475 PMCID: PMC10943758 DOI: 10.1177/11786469241232871] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 01/28/2024] [Indexed: 03/19/2024] Open
Abstract
The kynurenine pathway is the primary route for tryptophan catabolism and has received increasing attention as its association with inflammation and the immune system has become more apparent. This review provides a broad overview of the kynurenine pathway in respiratory diseases, from the initial observations to the characterization of the different cell types involved in the synthesis of kynurenine metabolites and the underlying immunoregulatory mechanisms. With a focus on respiratory infections, the various attempts to characterize the kynurenine/tryptophan (K/T) ratio as an inflammatory marker are reviewed. Its implication in chronic lung inflammation and its exacerbation by respiratory pathogens is also discussed. The emergence of preclinical interventional studies targeting the kynurenine pathway opens the way for the future development of new therapies.
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Affiliation(s)
- Guillaume Pamart
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 -CIIL - Center for Infection and Immunity of Lille, Lille, France
| | - Philippe Gosset
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 -CIIL - Center for Infection and Immunity of Lille, Lille, France
| | - Olivier Le Rouzic
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 -CIIL - Center for Infection and Immunity of Lille, Lille, France
| | - Muriel Pichavant
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 -CIIL - Center for Infection and Immunity of Lille, Lille, France
| | - Odile Poulain-Godefroy
- Univ. Lille, CNRS, Inserm, CHU Lille, Institut Pasteur de Lille, U1019 - UMR 9017 -CIIL - Center for Infection and Immunity of Lille, Lille, France
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3
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Wang ME, Hodge AM, Li SX, Southey MC, Giles GG, Dugué PA. Adiposity and plasma concentrations of kynurenine pathway metabolites and traditional markers of inflammation. Obes Res Clin Pract 2023:S1871-403X(23)00028-5. [PMID: 37121824 DOI: 10.1016/j.orcp.2023.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 04/12/2023] [Accepted: 04/14/2023] [Indexed: 05/02/2023]
Abstract
AIM The kynurenine pathway is increasingly recognised to play a role in inflammation and disease. We assessed the cross-sectional and longitudinal associations of adiposity measures (body mass index, waist-hip ratio, waist circumference and fat mass ratio) with plasma concentrations of kynurenine pathway metabolites and traditional markers of inflammation. METHODS We used data from 970 Melbourne Collaborative Cohort Study participants who had plasma markers measured at baseline (median age 59 years) and follow-up (median age 70 years). Linear regression was used to assess cross-sectional and longitudinal associations between four adiposity measures and concentrations of i) nine kynurenine pathway metabolites; ii) two derived markers; iii) eight traditional inflammatory markers. RESULTS Cross-sectionally, most kynurenine metabolites were strongly associated with adiposity measures at both time points; associations were generally stronger than for most inflammation markers except CRP (e.g. body mass index at baseline, quinolinic acid (per S.D. β = 0.30, 95%CI: 0.24-0.36, P = 10-21), kynurenine (β = 0.25, 95%CI: 0.19-0.31, P = 10-16) and CRP (β = 0.31, 95%CI: 0.25-0.37, P = 10-24), and remained largely unchanged after adjustment for confounders. Longitudinally, changes in adiposity measures over approximately a decade were positively associated with changes in kynurenine metabolite concentrations (in particular for 3-hydroxyanthranilic acid, kynurenine and quinolinic acid), and more strongly so than for other markers of inflammation, including CRP. CONCLUSIONS In middle-aged and older adults, plasma concentrations of kynurenine metabolites are strongly associated with adiposity, both cross-sectionally and longitudinally. Our study demonstrates that kynurenine metabolites may be valuable markers to monitor the adverse consequences of obesity.
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Affiliation(s)
- Mengmei E Wang
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia
| | - Allison M Hodge
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Sherly X Li
- Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia; Medical Research Council Epidemiology Unit, University of Cambridge, Cambridge CB2 0QQ, UK
| | - Melissa C Southey
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia; Department of Clinical Pathology, The University of Melbourne, Parkville, VIC, Australia
| | - Graham G Giles
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
| | - Pierre-Antoine Dugué
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, VIC, Australia; Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia.
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4
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Shen QM, Tan YT, Wang J, Fang J, Liu DK, Li HL, Xiang YB. Cross-sectional relationships between general and central adiposity and plasma amino acids in Chinese adults. Amino Acids 2023:10.1007/s00726-023-03258-5. [PMID: 36881189 DOI: 10.1007/s00726-023-03258-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2022] [Accepted: 02/23/2023] [Indexed: 03/08/2023]
Abstract
Adiposity is an important determinant of blood metabolites, but little is known about the variations of blood amino acids according to general and central adiposity status among Chinese population. This study included 187 females and 322 males who were cancer-free subjects randomly selected from two cohorts in Shanghai, China. Participants' plasma concentrations of amino acids were measured by ultra-performance liquid chromatography coupled to tandem mass spectrometry. Linear regression models were used to examine the cross-sectional correlations between general and central adiposity and amino acid levels. A total of 35 amino acids in plasma were measured in this study. In females, alanine, aspartic acid and pyroglutamic acid were positively correlated with general adiposity. In males, glutamic acid, aspartic acid, valine and pyroglutamic acid showed positive correlations, and glutamine, serine and glycine showed negative correlations with both general and central adiposity; phenylalanine, isoleucine and leucine were positively correlated and N-phenylacetylglutamine was negatively correlated with general adiposity; asparagine was negatively correlated with central adiposity. In summary, general adiposity and central adiposity were correlated with the concentrations of specific plasma amino acids among cancer-free female and male adults in China. Adiposity-metabolite characteristics and relationships should be considered when studying blood biomarkers for adiposity-related health outcomes.
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Affiliation(s)
- Qiu-Ming Shen
- School of Public Health, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China
| | - Yu-Ting Tan
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China
| | - Jing Wang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China
| | - Jie Fang
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China
| | - Da-Ke Liu
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China
| | - Hong-Lan Li
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China
| | - Yong-Bing Xiang
- School of Public Health, Shanghai Jiaotong University School of Medicine, Shanghai, 200025, China.
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiao Tong University School of Medicine, No. 25, Lane 2200, Xie Tu Road, Shanghai, 200032, China.
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5
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Midttun Ø, Ulvik A, Meyer K, Zahed H, Giles GG, Manjer J, Sandsveden M, Langhammer A, Sørgjerd EP, Behndig AF, Johansson M, Freedman ND, Huang WY, Chen C, Prentice R, Stevens VL, Wang Y, Le Marchand L, Weinstein SJ, Cai Q, Arslan AA, Chen Y, Shu XO, Zheng W, Yuan JM, Koh WP, Visvanathan K, Sesso HD, Zhang X, Gaziano JM, Fanidi A, Robbins HA, Brennan P, Johansson M, Ueland PM. A cross-sectional study of inflammatory markers as determinants of circulating kynurenines in the Lung Cancer Cohort Consortium. Sci Rep 2023; 13:1011. [PMID: 36653422 PMCID: PMC9849351 DOI: 10.1038/s41598-023-28135-9] [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: 05/10/2022] [Accepted: 01/13/2023] [Indexed: 01/19/2023] Open
Abstract
Circulating concentrations of metabolites (collectively called kynurenines) in the kynurenine pathway of tryptophan metabolism increase during inflammation, particularly in response to interferon-gamma (IFN-γ). Neopterin and the kynurenine/tryptophan ratio (KTR) are IFN-γ induced inflammatory markers, and together with C-reactive protein (CRP) and kynurenines they are associated with various diseases, but comprehensive data on the strength of associations of inflammatory markers with circulating concentrations of kynurenines are lacking. We measured circulating concentrations of neopterin, CRP, tryptophan and seven kynurenines in 5314 controls from 20 cohorts in the Lung Cancer Cohort Consortium (LC3). The associations of neopterin, KTR and CRP with kynurenines were investigated using regression models. In mixed models, one standard deviation (SD) higher KTR was associated with a 0.46 SD higher quinolinic acid (QA), and 0.31 SD higher 3-hydroxykynurenine (HK). One SD higher neopterin was associated with 0.48, 0.44, 0.36 and 0.28 SD higher KTR, QA, kynurenine and HK, respectively. KTR and neopterin respectively explained 24.1% and 16.7% of the variation in QA, and 11.4% and 7.5% of HK. CRP was only weakly associated with kynurenines in regression models. In summary, QA was the metabolite that was most strongly associated with the inflammatory markers. In general, the inflammatory markers were most strongly related to metabolites located along the tryptophan-NAD axis, which may support suggestions of increased production of NAD from tryptophan during inflammation.
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Affiliation(s)
- Øivind Midttun
- Bevital AS, Laboratory Building, Jonas Lies Veg 87, 5021, Bergen, Norway.
| | - Arve Ulvik
- Bevital AS, Laboratory Building, Jonas Lies Veg 87, 5021, Bergen, Norway
| | - Klaus Meyer
- Bevital AS, Laboratory Building, Jonas Lies Veg 87, 5021, Bergen, Norway
| | - Hana Zahed
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Graham G Giles
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
- Centre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, Melbourne, Australia
- Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia
| | - Jonas Manjer
- Department of Surgery, Skane University Hospital, Malmö, Sweden
- Lund University, Malmö, Sweden
| | - Malte Sandsveden
- Department of Clinical Sciences Malmo, Lund University, Malmö, Sweden
| | - Arnulf Langhammer
- Department of Public Health and Nursing, Hunt Research Centre, Norwegian University of Science and Technology, Levanger, Norway
- Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Elin Pettersen Sørgjerd
- Department of Public Health and Nursing, Hunt Research Centre, Norwegian University of Science and Technology, Levanger, Norway
- Department of Endocrinology, St. Olavs Hospital, Trondheim University Hospital, Levanger, Norway
| | - Annelie F Behndig
- Department of Public Health and Clinical Medicine, Umea University, Umeå, Sweden
| | - Mikael Johansson
- Department of Radiation Sciences, Oncology, Umea University, Umeå, Sweden
| | - Neal D Freedman
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Wen-Yi Huang
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Chu Chen
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, USA
| | - Ross Prentice
- Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, USA
| | | | - Ying Wang
- American Cancer Society, Atlanta, USA
| | - Loïc Le Marchand
- University of Hawai'i Cancer Center, University of Hawai'i at Mānoa, Honolulu, USA
| | - Stephanie J Weinstein
- Metabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA
| | - Qiuyin Cai
- Vanderbilt University Medical Center, Nashville, USA
| | - Alan A Arslan
- Department of Obstetrics and Gynecology, NYU Langone Health, New York, NY, USA
- Department of Population Health, NYU Langone Health, New York, NY, USA
- Perlmutter Comprehensive Cancer Center, NYU Langone Health, New York, NY, USA
| | - Yu Chen
- Department of Population Health, NYU Langone Health, New York, NY, USA
- Perlmutter Comprehensive Cancer Center, NYU Langone Health, New York, NY, USA
| | - Xiao-Ou Shu
- Department of Population Health, NYU Langone Health, New York, NY, USA
| | - Wei Zheng
- Department of Population Health, NYU Langone Health, New York, NY, USA
| | - Jian-Min Yuan
- University of Pittsburgh and UPMC Hillman Cancer Center, Pittsburgh, USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Kala Visvanathan
- Johns Hopkins Institute for Clinical and Translational Research, Baltimore, USA
| | - Howard D Sesso
- Brigham and Women's Hospital, Harvard Medical School, Boston, USA
- Harvard T.H. Chan School of Public Health, Boston, USA
| | - Xuehong Zhang
- Brigham and Women's Hospital, Harvard Medical School, Boston, USA
- Harvard T.H. Chan School of Public Health, Boston, USA
| | - J Michael Gaziano
- Brigham and Women's Hospital, Boston, USA
- VA Boston Healthcare System, Boston, MA, USA
| | | | - Hilary A Robbins
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Per M Ueland
- Bevital AS, Laboratory Building, Jonas Lies Veg 87, 5021, Bergen, Norway
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6
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Robbins HA, Alcala K, Moez EK, Guida F, Thomas S, Zahed H, Warkentin MT, Smith-Byrne K, Brhane Y, Muller D, Feng X, Albanes D, Aldrich MC, Arslan AA, Bassett J, Berg CD, Cai Q, Chen C, Davies MPA, Diergaarde B, Field JK, Freedman ND, Huang WY, Johansson M, Jones M, Koh WP, Lam S, Lan Q, Langhammer A, Liao LM, Liu G, Malekzadeh R, Milne RL, Montuenga LM, Rohan T, Sesso HD, Severi G, Sheikh M, Sinha R, Shu XO, Stevens VL, Tammemägi MC, Tinker LF, Visvanathan K, Wang Y, Wang R, Weinstein SJ, White E, Wilson D, Yuan JM, Zhang X, Zheng W, Amos CI, Brennan P, Johansson M, Hung RJ. Design and methodological considerations for biomarker discovery and validation in the Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Program. Ann Epidemiol 2023; 77:1-12. [PMID: 36404465 PMCID: PMC9835888 DOI: 10.1016/j.annepidem.2022.10.014] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 10/23/2022] [Accepted: 10/24/2022] [Indexed: 01/21/2023]
Abstract
The Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) program is an NCI-funded initiative with an objective to develop tools to optimize low-dose CT (LDCT) lung cancer screening. Here, we describe the rationale and design for the Risk Biomarker and Nodule Malignancy projects within INTEGRAL. The overarching goal of these projects is to systematically investigate circulating protein markers to include on a panel for use (i) pre-LDCT, to identify people likely to benefit from screening, and (ii) post-LDCT, to differentiate benign versus malignant nodules. To identify informative proteins, the Risk Biomarker project measured 1161 proteins in a nested-case control study within 2 prospective cohorts (n = 252 lung cancer cases and 252 controls) and replicated associations for a subset of proteins in 4 cohorts (n = 479 cases and 479 controls). Eligible participants had a current or former history of smoking and cases were diagnosed up to 3 years following blood draw. The Nodule Malignancy project measured 1078 proteins among participants with a heavy smoking history within four LDCT screening studies (n = 425 cases diagnosed up to 5 years following blood draw, 430 benign-nodule controls, and 398 nodule-free controls). The INTEGRAL panel will enable absolute quantification of 21 proteins. We will evaluate its performance in the Risk Biomarker project using a case-cohort study including 14 cohorts (n = 1696 cases and 2926 subcohort representatives), and in the Nodule Malignancy project within five LDCT screening studies (n = 675 cases, 680 benign-nodule controls, and 648 nodule-free controls). Future progress to advance lung cancer early detection biomarkers will require carefully designed validation, translational, and comparative studies.
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Affiliation(s)
- Hilary A Robbins
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France.
| | - Karine Alcala
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Elham Khodayari Moez
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada
| | - Florence Guida
- Environment and Lifestyle Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Sera Thomas
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada
| | - Hana Zahed
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Matthew T Warkentin
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada
| | | | - Yonathan Brhane
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada
| | - David Muller
- Division of Genetic Medicine, Imperial College London School of Public Health, London, UK
| | - Xiaoshuang Feng
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Demetrius Albanes
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Melinda C Aldrich
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Alan A Arslan
- Departments of Obstetrics and Gynecology and Population Health, New York University Grossman School of Medicine, New York, NY
| | - Julie Bassett
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia
| | | | - Qiuyin Cai
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Chu Chen
- Program in Epidemiology and the Women's Health Initiative Clinical Coordinating Center, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Michael P A Davies
- Molecular & Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Brenda Diergaarde
- Department of Human Genetics, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA; UPMC Hillman Cancer Centre, Pittsburgh, PA
| | - John K Field
- Molecular & Clinical Cancer Medicine, University of Liverpool, Liverpool, UK
| | - Neal D Freedman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Wen-Yi Huang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Mikael Johansson
- Department of Radiation Sciences, Oncology, Umea University, Umea, Sweden
| | - Michael Jones
- Division of Genetics and Epidemiology, Institute of Cancer Research, London, UK
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Program, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, Singapore
| | - Stephen Lam
- Integrative Oncology, British Columbia Cancer Agency, Vancouver, Canada
| | - Qing Lan
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Arnulf Langhammer
- HUNT Research Center, Department of Public Health and Nursing, NTNU Norwegian University of Science and Technology, Levanger, Norway; Levanger Hospital, Nord-Trøndelag Hospital Trust, Levanger, Norway
| | - Linda M Liao
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Geoffrey Liu
- Computational Biology and Medicine Program, Princess Margaret Cancer Center, Toronto, Canada
| | - Reza Malekzadeh
- Digestive Disease Research Institute, Tehran University of Medical Sciences, Tehran, Iran
| | - Roger L Milne
- Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, University of Melbourne, Parkville, Australia; School of Clinical Sciences at Monash Health, Monash University, Melbourne, Australia
| | - Luis M Montuenga
- Center of Applied Medical Research (CIMA) and Schools of Sciences and Medicine, University of Navarra, Pamplona, Spain; IDISNA, Pamplona, Spain; CIBERONC, Madrid, Spain
| | - Thomas Rohan
- Department of Epidemiology & Population Health, Albert Einstein College of Medicine, Bronx, NY
| | - Howard D Sesso
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | | | - Mahdi Sheikh
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Rashmi Sinha
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | | | - Martin C Tammemägi
- Department of Health Sciences, Brock University, St. Cathaarines, ON, Canada; Prevention and Cancer Control, Ontario Health, Toronto, ON, Canada
| | - Lesley F Tinker
- Women's Health Initiative Clinical Coordinating Center, Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Kala Visvanathan
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD
| | - Ying Wang
- American Cancer Society, Atlanta, GA
| | - Renwei Wang
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA
| | - Stephanie J Weinstein
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD
| | - Emily White
- Cancer Prevention Research Program, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - David Wilson
- Division of Pulmonary, Allergy, and Critical Care Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, PA
| | - Jian-Min Yuan
- Department of Epidemiology, Graduate Schoolf of Public Health, University of Pittsburgh, Pittsburgh, PA; UPMC Hillman Cancer Centre, Pittsburgh, PA
| | - Xuehong Zhang
- Brigham and Women's Hospital, Harvard Medical School, Boston, MA
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Christopher I Amos
- Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX
| | - Paul Brennan
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France
| | - Mattias Johansson
- Genomic Epidemiology Branch, International Agency for Research on Cancer, Lyon, France.
| | - Rayjean J Hung
- Prosserman Centre for Population Health Research, Lunenfeld-Tanenbaum Research Institute, Sinai Health, Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada.
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7
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Helland A, Bratlie M, Hagen IV, Midttun Ø, Ulvik A, Mellgren G, Ueland PM, Gudbrandsen OA. Consumption of a light meal affects serum concentrations of one-carbon metabolites and B-vitamins. A clinical intervention study. Br J Nutr 2022; 129:1-10. [PMID: 35899805 PMCID: PMC10024976 DOI: 10.1017/s0007114522002446] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 07/18/2022] [Accepted: 07/22/2022] [Indexed: 11/07/2022]
Abstract
The transfer of one-carbon units between molecules in metabolic pathways is essential for maintaining cellular homeostasis, but little is known about whether the circulating concentrations of metabolites involved in the one-carbon metabolism are affected by the prandial status. Epidemiological studies do not always consistently use fasting or non-fasting blood samples or may lack information on the prandial status of the study participants. Therefore, the main aim of the present study was to investigate the effects of a light breakfast on serum concentrations of selected metabolites and B-vitamins related to the one-carbon metabolism; i.e. the methionine-homocysteine cycle, the folate cycle, the choline oxidation pathway and the transsulfuration pathway. Sixty-three healthy adults (thirty-six women) with BMI ≥ 27 kg/m2 were included in the study. Blood was collected in the fasting state and 60 and 120 min after intake of a standardised breakfast consisting of white bread, margarine, white cheese, strawberry jam and orange juice (2218 kJ). The meal contained low amounts of choline, betaine, serine and vitamins B2, B3, B6, B9 and B12. Serum concentrations of total homocysteine, total cysteine, flavin mononucleotide, nicotinamide and pyridoxal 5'-phosphate were significantly decreased, and concentrations of choline, betaine, dimethylglycine, sarcosine, cystathionine and folate were significantly increased following breakfast intake (P < 0·05). Our findings demonstrate that the intake of a light breakfast with low nutrient content affected serum concentrations of several metabolites and B-vitamins related to the one-carbon metabolism.
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Affiliation(s)
- Anita Helland
- Dietary Protein Research Group, Department of Clinical Medicine, University of Bergen, Bergen, 5021, Norway
| | - Marianne Bratlie
- Dietary Protein Research Group, Department of Clinical Medicine, University of Bergen, Bergen, 5021, Norway
| | - Ingrid V. Hagen
- Dietary Protein Research Group, Department of Clinical Medicine, University of Bergen, Bergen, 5021, Norway
| | | | - Arve Ulvik
- Bevital AS, Jonas Lies Veg 87, Bergen, Norway
| | - Gunnar Mellgren
- Mohn Nutrition Research Laboratory, Department of Clinical Science, University of Bergen, Bergen, Norway
- Hormone Laboratory, Department of Medical Biochemistry and Pharmacology, Haukeland University Hospital, Bergen, Norway
| | | | - Oddrun A. Gudbrandsen
- Dietary Protein Research Group, Department of Clinical Medicine, University of Bergen, Bergen, 5021, Norway
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8
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Coppens V, Verkerk R, Morrens M. Tracking TRYCAT: A Critical Appraisal of Kynurenine Pathway Quantifications in Blood. Front Pharmacol 2022; 13:825948. [PMID: 35250576 PMCID: PMC8892384 DOI: 10.3389/fphar.2022.825948] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 01/19/2022] [Indexed: 12/24/2022] Open
Affiliation(s)
- Violette Coppens
- Faculty of Medicine and Health Sciences, Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium.,Scientific Initiative of Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium
| | - Robert Verkerk
- Laboratory of Medical Biochemistry, University of Antwerp, Antwerp, Belgium
| | - Manuel Morrens
- Faculty of Medicine and Health Sciences, Collaborative Antwerp Psychiatric Research Institute (CAPRI), University of Antwerp, Antwerp, Belgium.,Scientific Initiative of Neuropsychiatric and Psychopharmacological Studies (SINAPS), University Psychiatric Centre Duffel, Duffel, Belgium
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