Literature DB >> 34135082

Plasma Proteomics of Renal Function: A Trans-ethnic Meta-analysis and Mendelian Randomization Study.

Pamela Matías-García1, Rory Wilson2, Qi Guo3, Shaza Zaghlool4, James Eales5, Xiaoguang Xu6, Fadi Charchar7, John Dormer8, Haifa Maalmi9, Pascal Schlosser10, Mohamed Elhadad11, Jana Nano12, Sapna Sharma13, Annette Peters14, Alessia Fornoni15, Dennis Mook-Kanamori16, Juliane Winkelmann17, John Danesh18, Emanuele Di Angelantonio19, Willem Ouwehand20, Nicholas Watkins21, David Roberts22, Agnese Petrera23, Johannes Graumann24, Wolfgang Koenig25, Kristian Hveem26, Christian Jonasson27, Anna Köttgen28, Adam Butterworth29, Marco Prunotto30, Stefanie Hauck31, Christian Herder32, Karsten Suhre33, Christian Gieger34, Maciej Tomaszewski35, Alexander Teumer36, Melanie Waldenberger37.   

Abstract

BACKGROUND: Studies on the relationship between renal function and the human plasma proteome have identified several potential biomarkers. However, investigations have been conducted largely in European populations, and causality of the associations between plasma proteins and kidney function has never been addressed.
METHODS: A cross-sectional study of 993 plasma proteins among 2,882 participants in four studies of European and admixed ancestries (KORA, INTERVAL, HUNT, QMDiab) identified trans-ethnic associations between eGFR/CKD and proteomic biomarkers. For the replicated associations, two-sample bidirectional Mendelian randomization (MR) was used to investigate potential causal relationships. Publicly available datasets and transcriptomic data from independent studies were used to examine the association between gene expression in kidney tissue and eGFR .
RESULTS: Fifty-seven plasma proteins were associated with eGFR, including one novel protein. Twenty-three of these were additionally associated with CKD. The strongest inferred causal effect was the positive effect of eGFR on testican-2, in line with the known biological role of this protein and the expression of its protein-coding gene (SPOCK2) in renal tissue. We also observed suggestive evidence of an effect of melanoma inhibitory activity (MIA), carbonic anhydrase III, and cystatin-M on eGFR.
CONCLUSIONS: In a discovery-replication setting, we identified 57 proteins trans-ethnically associated with eGFR. The revealed causal relationships are an important stepping-stone in establishing testican-2 as a clinically relevant physiological marker of kidney disease progression, and point to additional proteins warranting further investigation.

Entities:  

Year:  2021        PMID: 34135082      PMCID: PMC8425654          DOI: 10.1681/ASN.2020071070

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   14.978


  91 in total

1.  Optimally weighted Z-test is a powerful method for combining probabilities in meta-analysis.

Authors:  D V Zaykin
Journal:  J Evol Biol       Date:  2011-05-23       Impact factor: 2.411

2.  Commentary: Orienting causal relationships between two phenotypes using bidirectional Mendelian randomization.

Authors:  Rebecca C Richmond; George Davey Smith
Journal:  Int J Epidemiol       Date:  2019-06-01       Impact factor: 7.196

3.  The Impact of the Glomerular Filtration Rate on the Human Plasma Proteome.

Authors:  Anders Christensson; Jessica A Ash; Robert K DeLisle; Fraser W Gaspar; Rachel Ostroff; Anders Grubb; Veronica Lindström; Laila Bruun; Steve A Williams
Journal:  Proteomics Clin Appl       Date:  2018-01-31       Impact factor: 3.494

4.  Transcriptome analysis of human diabetic kidney disease.

Authors:  Karolina I Woroniecka; Ae Seo Deok Park; Davoud Mohtat; David B Thomas; James M Pullman; Katalin Susztak
Journal:  Diabetes       Date:  2011-07-13       Impact factor: 9.461

5.  A transcriptional profile of aging in the human kidney.

Authors:  Graham E J Rodwell; Rebecca Sonu; Jacob M Zahn; James Lund; Julie Wilhelmy; Lingli Wang; Wenzhong Xiao; Michael Mindrinos; Emily Crane; Eran Segal; Bryan D Myers; James D Brooks; Ronald W Davis; John Higgins; Art B Owen; Stuart K Kim
Journal:  PLoS Biol       Date:  2004-11-30       Impact factor: 8.029

6.  Mendelian randomization analysis with multiple genetic variants using summarized data.

Authors:  Stephen Burgess; Adam Butterworth; Simon G Thompson
Journal:  Genet Epidemiol       Date:  2013-09-20       Impact factor: 2.135

7.  Defining cell-type specificity at the transcriptional level in human disease.

Authors:  Wenjun Ju; Casey S Greene; Felix Eichinger; Viji Nair; Jeffrey B Hodgin; Markus Bitzer; Young-Suk Lee; Qian Zhu; Masami Kehata; Min Li; Song Jiang; Maria Pia Rastaldi; Clemens D Cohen; Olga G Troyanskaya; Matthias Kretzler
Journal:  Genome Res       Date:  2013-08-15       Impact factor: 9.043

8.  A human glomerular SAGE transcriptome database.

Authors:  Jenny Nyström; Wolfgang Fierlbeck; Anna Granqvist; Stephen C Kulak; Barbara J Ballermann
Journal:  BMC Nephrol       Date:  2009-06-05       Impact factor: 2.388

9.  An attempt to understand kidney's protein handling function by comparing plasma and urine proteomes.

Authors:  Lulu Jia; Ling Zhang; Chen Shao; Eli Song; Wei Sun; Mingxi Li; Youhe Gao
Journal:  PLoS One       Date:  2009-04-20       Impact factor: 3.240

10.  Linking protein to phenotype with Mendelian Randomization detects 38 proteins with causal roles in human diseases and traits.

Authors:  Andrew D Bretherick; Oriol Canela-Xandri; Peter K Joshi; David W Clark; Konrad Rawlik; Thibaud S Boutin; Yanni Zeng; Carmen Amador; Pau Navarro; Igor Rudan; Alan F Wright; Harry Campbell; Veronique Vitart; Caroline Hayward; James F Wilson; Albert Tenesa; Chris P Ponting; J Kenneth Baillie; Chris Haley
Journal:  PLoS Genet       Date:  2020-07-06       Impact factor: 5.917

View more
  3 in total

1.  APOL1 Kidney Risk Variants and Proteomics.

Authors:  Teresa K Chen; Aditya L Surapaneni; Dan E Arking; Christie M Ballantyne; Eric Boerwinkle; Jingsha Chen; Josef Coresh; Anna Köttgen; Katalin Susztak; Adrienne Tin; Bing Yu; Morgan E Grams
Journal:  Clin J Am Soc Nephrol       Date:  2022-04-26       Impact factor: 10.614

2.  Cardiovascular disease protein biomarkers are associated with kidney function: The Framingham Heart Study.

Authors:  Amena Keshawarz; Shih-Jen Hwang; Gha Young Lee; Zhi Yu; Chen Yao; Anna Köttgen; Daniel Levy
Journal:  PLoS One       Date:  2022-05-11       Impact factor: 3.752

Review 3.  Proteomics for Biomarker Discovery for Diagnosis and Prognosis of Kidney Transplantation Rejection.

Authors:  Luís M Ramalhete; Rúben Araújo; Aníbal Ferreira; Cecília R C Calado
Journal:  Proteomes       Date:  2022-07-02
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.