Serum profile changes in postpartum women with a history of childhood maltreatment: a combined metabolite and lipid fingerprinting study

Koenig AM, Karabatsiakis A, Stoll T, Wilker S, Hennessy T, Hill MM, Kolassa I-T (2018)
Scientific Reports 8(1): 3468: 3468.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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Autor*in
Koenig, Alexandra M; Karabatsiakis, Alexander; Stoll, Thomas; Wilker, SarahUniBi; Hennessy, Thomas; Hill, Michelle M; Kolassa, Iris-Tatjana
Erscheinungsjahr
2018
Zeitschriftentitel
Scientific Reports
Band
8
Ausgabe
1
Art.-Nr.
3468
Seite(n)
3468
ISSN
2045-2322
Page URI
https://pub.uni-bielefeld.de/record/2920831

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Koenig AM, Karabatsiakis A, Stoll T, et al. Serum profile changes in postpartum women with a history of childhood maltreatment: a combined metabolite and lipid fingerprinting study. Scientific Reports. 2018;8(1):3468: 3468.
Koenig, A. M., Karabatsiakis, A., Stoll, T., Wilker, S., Hennessy, T., Hill, M. M., & Kolassa, I. - T. (2018). Serum profile changes in postpartum women with a history of childhood maltreatment: a combined metabolite and lipid fingerprinting study. Scientific Reports, 8(1), 3468., 3468. doi:10.1038/s41598-018-21763-6
Koenig, A. M., Karabatsiakis, A., Stoll, T., Wilker, S., Hennessy, T., Hill, M. M., and Kolassa, I. - T. (2018). Serum profile changes in postpartum women with a history of childhood maltreatment: a combined metabolite and lipid fingerprinting study. Scientific Reports 8, 3468:3468.
Koenig, A.M., et al., 2018. Serum profile changes in postpartum women with a history of childhood maltreatment: a combined metabolite and lipid fingerprinting study. Scientific Reports, 8(1), p 3468: 3468.
A.M. Koenig, et al., “Serum profile changes in postpartum women with a history of childhood maltreatment: a combined metabolite and lipid fingerprinting study”, Scientific Reports, vol. 8, 2018, pp. 3468, : 3468.
Koenig, A.M., Karabatsiakis, A., Stoll, T., Wilker, S., Hennessy, T., Hill, M.M., Kolassa, I.-T.: Serum profile changes in postpartum women with a history of childhood maltreatment: a combined metabolite and lipid fingerprinting study. Scientific Reports. 8, 3468 : 3468 (2018).
Koenig, Alexandra M, Karabatsiakis, Alexander, Stoll, Thomas, Wilker, Sarah, Hennessy, Thomas, Hill, Michelle M, and Kolassa, Iris-Tatjana. “Serum profile changes in postpartum women with a history of childhood maltreatment: a combined metabolite and lipid fingerprinting study”. Scientific Reports 8.1 (2018): 3468: 3468.

3 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

The Association of Childhood Maltreatment With Lipid Peroxidation and DNA Damage in Postpartum Women.
Boeck C, Gumpp AM, Koenig AM, Radermacher P, Karabatsiakis A, Kolassa IT., Front Psychiatry 10(), 2019
PMID: 30833908
Unprecedented Microbial Conversion of Biliverdin into Bilirubin-10-sulfonate.
Shiels RG, Vidimce J, Pearson AG, Matthews B, Wagner KH, Battle AR, Sakellaris H, Bulmer AC., Sci Rep 9(1), 2019
PMID: 30814600
Metabolomic analysis of male combat veterans with post traumatic stress disorder.
Mellon SH, Bersani FS, Lindqvist D, Hammamieh R, Donohue D, Dean K, Jett M, Yehuda R, Flory J, Reus VI, Bierer LM, Makotkine I, Abu Amara D, Henn Haase C, Coy M, Doyle FJ, Marmar C, Wolkowitz OM., PLoS One 14(3), 2019
PMID: 30883584

59 References

Daten bereitgestellt von Europe PubMed Central.

Childhood maltreatment trauma: relevance for adult physical and emotional health: a review
Hamilton L, Micol-Foster V, Muzik M., 2015
Childhood abuse is associated with methylation of multiple loci in adult DNA.
Suderman M, Borghol N, Pappas JJ, Pinto Pereira SM, Pembrey M, Hertzman C, Power C, Szyf M., BMC Med Genomics 7(), 2014
PMID: 24618023
Childhood maltreatment is associated with distinct genomic and epigenetic profiles in posttraumatic stress disorder.
Mehta D, Klengel T, Conneely KN, Smith AK, Altmann A, Pace TW, Rex-Haffner M, Loeschner A, Gonik M, Mercer KB, Bradley B, Muller-Myhsok B, Ressler KJ, Binder EB., Proc. Natl. Acad. Sci. U.S.A. 110(20), 2013
PMID: 23630272
Epigenetic signatures of childhood abuse and neglect: Implications for psychiatric vulnerability.
Cecil CA, Smith RG, Walton E, Mill J, McCrory EJ, Viding E., J Psychiatr Res 83(), 2016
PMID: 27643477
Genome-wide epigenetic regulation by early-life trauma.
Labonte B, Suderman M, Maussion G, Navaro L, Yerko V, Mahar I, Bureau A, Mechawar N, Szyf M, Meaney MJ, Turecki G., Arch. Gen. Psychiatry 69(7), 2012
PMID: 22752237
Child abuse and epigenetic mechanisms of disease risk.
Yang BZ, Zhang H, Ge W, Weder N, Douglas-Palumberi H, Perepletchikova F, Gelernter J, Kaufman J., Am J Prev Med 44(2), 2013
PMID: 23332324
Discovery of biochemical biomarkers for aggression: A role for metabolomics in psychiatry.
Hagenbeek FA, Kluft C, Hankemeier T, Bartels M, Draisma HH, Middeldorp CM, Berger R, Noto A, Lussu M, Pool R, Fanos V, Boomsma DI., Am. J. Med. Genet. B Neuropsychiatr. Genet. 171(5), 2016
PMID: 26913573
Metabolomics: a global biochemical approach to drug response and disease.
Kaddurah-Daouk R, Kristal BS, Weinshilboum RM., Annu. Rev. Pharmacol. Toxicol. 48(), 2008
PMID: 18184107
Metabolomics in schizophrenia and major depressive disorder
Petrovichich I., 2016
Innovation: Metabolomics: the apogee of the omics trilogy.
Patti GJ, Yanes O, Siuzdak G., Nat. Rev. Mol. Cell Biol. 13(4), 2012
PMID: 22436749
Metabolomics: a global biochemical approach to the study of central nervous system diseases.
Kaddurah-Daouk R, Krishnan KR., Neuropsychopharmacology 34(1), 2008
PMID: 18843269
Individual variability in human blood metabolites identifies age-related differences.
Chaleckis R, Murakami I, Takada J, Kondoh H, Yanagida M., Proc. Natl. Acad. Sci. U.S.A. 113(16), 2016
PMID: 27036001
Omics-Based Biomarkers: Application of Metabolomics in Neuropsychiatric Disorders.
Sethi S, Brietzke E., Int. J. Neuropsychopharmacol. 19(3), 2015
PMID: 26453695
Potential serum biomarkers from a metabolomics study of autism.
Wang H, Liang S, Wang M, Gao J, Sun C, Wang J, Xia W, Wu S, Sumner SJ, Zhang F, Sun C, Wu L., J Psychiatry Neurosci 41(1), 2016
PMID: 26395811
Blood metabolomics analysis identifies abnormalities in the citric acid cycle, urea cycle, and amino acid metabolism in bipolar disorder.
Yoshimi N, Futamura T, Kakumoto K, Salehi AM, Sellgren CM, Holmen-Larsson J, Jakobsson J, Palsson E, Landen M, Hashimoto K., BBA Clin 5(), 2016
PMID: 27114925
Metabolite profiling in posttraumatic stress disorder.
Karabatsiakis A, Hamuni G, Wilker S, Kolassa S, Renu D, Kadereit S, Schauer M, Hennessy T, Kolassa IT., J Mol Psychiatry 3(1), 2015
PMID: 25848535
Metabolomic profiles of current cigarette smokers.
Hsu PC, Lan RS, Brasky TM, Marian C, Cheema AK, Ressom HW, Loffredo CA, Pickworth WB, Shields PG., Mol. Carcinog. 56(2), 2016
PMID: 27341184
Childhood Trauma Questionnaire – Psychometrische Eigenschaften einer deutschsprachigen Version
Bader K, Hänny C, Schäfer V, Neuckel A, Kuhl C., 2009
Development and validation of a brief screening version of the Childhood Trauma Questionnaire.
Bernstein DP, Stein JA, Newcomb MD, Walker E, Pogge D, Ahluvalia T, Stokes J, Handelsman L, Medrano M, Desmond D, Zule W., Child Abuse Negl 27(2), 2003
PMID: 12615092
From targeted quantification to untargeted metabolomics: why LC-high-resolution-MS will become a key instrument in clinical labs
Rochat B., 2016
Reflections on univariate and multivariate analysis of metabolomics data
Saccenti E, Hoefsloot HCJ, Smilde AK, Westerhuis JA, Hendriks MMWB., 2014
Controlling the False Discovery Rate: a practical and powerful approach to multiple testing
Benjamini Y, Hochberg Y., 1995
A tutorial review: Metabolomics and partial least squares-discriminant analysis--a marriage of convenience or a shotgun wedding.
Gromski PS, Muhamadali H, Ellis DI, Xu Y, Correa E, Turner ML, Goodacre R., Anal. Chim. Acta 879(), 2015
PMID: 26002472
A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data.
Menze BH, Kelm BM, Masuch R, Himmelreich U, Bachert P, Petrich W, Hamprecht FA., BMC Bioinformatics 10(), 2009
PMID: 19591666
MS-DIAL: data-independent MS/MS deconvolution for comprehensive metabolome analysis.
Tsugawa H, Cajka T, Kind T, Ma Y, Higgins B, Ikeda K, Kanazawa M, VanderGheynst J, Fiehn O, Arita M., Nat. Methods 12(6), 2015
PMID: 25938372
Hydrogen Rearrangement Rules: Computational MS/MS Fragmentation and Structure Elucidation Using MS-FINDER Software.
Tsugawa H, Kind T, Nakabayashi R, Yukihira D, Tanaka W, Cajka T, Saito K, Fiehn O, Arita M., Anal. Chem. 88(16), 2016
PMID: 27419259
Child maltreatment and the developing HPA axis.
Tarullo AR, Gunnar MR., Horm Behav 50(4), 2006
PMID: 16876168
Kynurenine pathway in major depression: evidence of impaired neuroprotection.
Myint AM, Kim YK, Verkerk R, Scharpe S, Steinbusch H, Leonard B., J Affect Disord 98(1-2), 2006
PMID: 16952400
The molecular basis for the immunomodulatory activities of unconjugated bilirubin.
Jangi S, Otterbein L, Robson S., Int. J. Biochem. Cell Biol. 45(12), 2013
PMID: 24144577
Serum bilirubin and the risk of hypertension.
Wang L, Bautista LE., Int J Epidemiol 44(1), 2014
PMID: 25541554
Association between high serum total bilirubin and post-stroke depression.
Tang WK, Liang H, Chu WC, Mok V, Ungvari GS, Wong KS., Psychiatry Clin. Neurosci. 67(4), 2013
PMID: 23683157
Bioinformatics and systems biology of the lipidome.
Subramaniam S, Fahy E, Gupta S, Sud M, Byrnes RW, Cotter D, Dinasarapu AR, Maurya MR., Chem. Rev. 111(10), 2011
PMID: 21939287
Discovery and validation of plasma biomarkers for major depressive disorder classification based on liquid chromatography-mass spectrometry.
Liu X, Zheng P, Zhao X, Zhang Y, Hu C, Li J, Zhao J, Zhou J, Xie P, Xu G., J. Proteome Res. 14(5), 2015
PMID: 25784130
Plasma lipidomics reveals potential lipid markers of major depressive disorder.
Liu X, Li J, Zheng P, Zhao X, Zhou C, Hu C, Hou X, Wang H, Xie P, Xu G., Anal Bioanal Chem 408(23), 2016
PMID: 27457104
Synthesis of prostaglandin E2 ethanolamide from anandamide by cyclooxygenase-2.
Yu M, Ives D, Ramesha CS., J. Biol. Chem. 272(34), 1997
PMID: 9261124
Endocannabinoid biosynthesis and inactivation, from simple to complex.
Muccioli GG., Drug Discov. Today 15(11-12), 2010
PMID: 20304091
The endocannabinoid system in targeting inflammatory neurodegenerative diseases.
Centonze D, Finazzi-Agro A, Bernardi G, Maccarrone M., Trends Pharmacol. Sci. 28(4), 2007
PMID: 17350694
The "dark side" of endocannabinoids: a neurotoxic role for anandamide.
Cernak I, Vink R, Natale J, Stoica B, Lea PM 4th, Movsesyan V, Ahmed F, Knoblach SM, Fricke ST, Faden AI., J. Cereb. Blood Flow Metab. 24(5), 2004
PMID: 15129189
The endocannabinoid system and energy metabolism.
Bellocchio L, Cervino C, Pasquali R, Pagotto U., J. Neuroendocrinol. 20(6), 2008
PMID: 18601709
The endocannabinoid system and pain.
Guindon J, Hohmann AG., CNS Neurol Disord Drug Targets 8(6), 2009
PMID: 19839937
The endocannabinoid system in guarding against fear, anxiety and stress.
Lutz B, Marsicano G, Maldonado R, Hillard CJ., Nat. Rev. Neurosci. 16(12), 2015
PMID: 26585799
Endocannabinoid concentrations in hair are associated with PTSD symptom severity.
Wilker S, Pfeiffer A, Elbert T, Ovuga E, Karabatsiakis A, Krumbholz A, Thieme D, Schelling G, Kolassa IT., Psychoneuroendocrinology 67(), 2016
PMID: 26923850
Childhood adversities and laboratory pain perception
Pieritz K, Rief W, Euteneuer F., 2015
Inflammation in adult women with a history of child maltreatment: The involvement of mitochondrial alterations and oxidative stress.
Boeck C, Koenig AM, Schury K, Geiger ML, Karabatsiakis A, Wilker S, Waller C, Gundel H, Fegert JM, Calzia E, Kolassa IT., Mitochondrion 30(), 2016
PMID: 27530300
Metabolic changes in pregnancy.
Lain KY, Catalano PM., Clin Obstet Gynecol 50(4), 2007
PMID: 17982337

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0

AUTHOR UNKNOWN, 0
The validation of a self-report measure of posttraumatic stress disorder: the Posttraumatic Diagnostic Scale
Foa EB, Cashman L, Jaycox L, Perry K., 1997
Minimization of Childhood Maltreatment Is Common and Consequential: Results from a Large, Multinational Sample Using the Childhood Trauma Questionnaire.
MacDonald K, Thomas ML, Sciolla AF, Schneider B, Pappas K, Bleijenberg G, Bohus M, Bekh B, Carpenter L, Carr A, Dannlowski U, Dorahy M, Fahlke C, Finzi-Dottan R, Karu T, Gerdner A, Glaesmer H, Grabe HJ, Heins M, Kenny DT, Kim D, Knoop H, Lobbestael J, Lochner C, Lauritzen G, Ravndal E, Riggs S, Sar V, Schafer I, Schlosser N, Schwandt ML, Stein MB, Subic-Wrana C, Vogel M, Wingenfeld K., PLoS ONE 11(1), 2016
PMID: 26815788

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