4.7 Article

Whole-genome sequence association analysis of blood proteins in a longitudinal wellness cohort

Journal

GENOME MEDICINE
Volume 12, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13073-020-00755-0

Keywords

Protein levels; Blood; Genetics; Whole-genome sequence; Genome-wide associations

Funding

  1. Erling Persson Foundation
  2. Knut and Alice Wallenberg Foundation
  3. Swedish Heart and Lung Foundation

Ask authors/readers for more resources

Background The human plasma proteome is important for many biological processes and targets for diagnostics and therapy. It is therefore of great interest to understand the interplay of genetic and environmental factors to determine the specific protein levels in individuals and to gain a deeper insight of the importance of genetic architecture related to the individual variability of plasma levels of proteins during adult life. Methods We have combined whole-genome sequencing, multiplex plasma protein profiling, and extensive clinical phenotyping in a longitudinal 2-year wellness study of 101 healthy individuals with repeated sampling. Analyses of genetic and non-genetic associations related to the variability of blood levels of proteins in these individuals were performed. Results The analyses showed that each individual has a unique protein profile, and we report on the intra-individual as well as inter-individual variation for 794 plasma proteins. A genome-wide association study (GWAS) using 7.3 million genetic variants identified by whole-genome sequencing revealed 144 independent variants across 107 proteins that showed strong association (P < 6 x 10(-11)) between genetics and the inter-individual variability on protein levels. Many proteins not reported before were identified (67 out of 107) with individual plasma level affected by genetics. Our longitudinal analysis further demonstrates that these levels are stable during the 2-year study period. The variability of protein profiles as a consequence of environmental factors was also analyzed with focus on the effects of weight loss and infections. Conclusions We show that the adult blood levels of many proteins are determined at birth by genetics, which is important for efforts aimed to understand the relationship between plasma proteome profiles and human biology and disease.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Biotechnology & Applied Microbiology

Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models

Rosa Lundbye Allesoe, Agnete Troen Lundgaard, Ricardo Hernandez Medina, Alejandro Aguayo-Orozco, Joachim Johansen, Jakob Nybo Nissen, Caroline Brorsson, Gianluca Mazzoni, Lili Niu, Jorge Hernansanz Biel, Valentas Brasas, Henry Webel, Michael Eriksen Benros, Anders Gorm Pedersen, Piotr Jaroslaw Chmura, Ulrik Plesner Jacobsen, Andrea Mari, Robert Koivula, Anubha Mahajan, Ana Vinuela, Juan Fernandez Tajes, Sapna Sharma, Mark Haid, Mun-Gwan Hong, Petra B. Musholt, Federico De Masi, Josef Vogt, Helle Krogh Pedersen, Valborg Gudmundsdottir, Angus Jones, Gwen Kennedy, Jimmy Bell, E. Louise Thomas, Gary Frost, Henrik Thomsen, Elizaveta Hansen, Tue Haldor Hansen, Henrik Vestergaard, Mirthe Muilwijk, Marieke T. Blom, Leen M. T. Hart, Francois Pattou, Violeta Raverdy, Soren Brage, Tarja Kokkola, Alison Heggie, Donna McEvoy, Miranda Mourby, Jane Kaye, Andrew Hattersley, Timothy McDonald, Martin Ridderstrale, Mark Walker, Ian Forgie, Giuseppe N. Giordano, Imre Pavo, Hartmut Ruetten, Oluf Pedersen, Torben Hansen, Emmanouil Dermitzakis, Paul W. Franks, Jochen M. Schwenk, Jerzy Adamski, Mark McCarthy, Ewan Pearson, Karina Banasik, Simon Rasmussen, Soren Brunak

Summary: The application of multiple omics technologies in biomedical cohorts can reveal patient-level disease characteristics and individualized response to treatment. We developed a deep-learning-based framework, MOVE, to integrate and analyze multi-omics data from a cohort of newly diagnosed type 2 diabetes patients. By using in silico perturbations, we identified drug-omics associations in the multi-modal datasets with higher sensitivity than univariate statistical tests.

NATURE BIOTECHNOLOGY (2023)

Article Neurosciences

Combined metabolic activators improve cognitive functions in Alzheimer's disease patients: a randomised, double-blinded, placebo-controlled phase-II trial

Burak Yulug, Ozlem Altay, Xiangyu Li, Lutfu Hanoglu, Seyda Cankaya, Simon Lam, Halil Aziz Velioglu, Hong Yang, Ebru Coskun, Ezgi Idil, Rahim Nogaylar, Ahmet Ozsimsek, Cemil Bayram, Ismail Bolat, Sena Oner, Ozlem Ozdemir Tozlu, Mehmet Enes Arslan, Ahmet Hacimuftuoglu, Serkan Yildirim, Muhammad Arif, Saeed Shoaie, Cheng Zhang, Jens Nielsen, Hasan Turkez, Jan Boren, Mathias Uhlen, Adil Mardinoglu

Summary: A clinical trial was conducted to study the effect of combined metabolic activators (CMA) on Alzheimer's disease (AD) patients. The results showed that CMA can improve cognitive functions and clinical parameters associated with AD. This study provides evidence for the use of CMA in the treatment of AD.

TRANSLATIONAL NEURODEGENERATION (2023)

Article Mathematical & Computational Biology

Metabolic modelling of the human gut microbiome in type 2 diabetes patients in response to metformin treatment

Bouchra Ezzamouri, Dorines Rosario, Gholamreza Bidkhori, Sunjae Lee, Mathias Uhlen, Saeed Shoaie

Summary: The human gut microbiome plays a significant role in metabolic disorders, such as type 2 diabetes mellitus. This study investigates the mechanistic role of the gut microbiome in response to metformin treatment, using metagenomics data and genome-scale metabolic modeling. The results demonstrate the commensal and competing behavior of key bacterial species in response to metformin and highlight the impact of different nutritional environments.

NPJ SYSTEMS BIOLOGY AND APPLICATIONS (2023)

Article Medical Laboratory Technology

Evaluation of dried-blood spots and a hematocrit-independent procedure in lysosomal diseases screening using multiplexed tandem mass spectrometry assays

Franklin Ducatez, Carine Pilon, Justine Ferey, Stephane Marret, Soumeya Bekri, Abdellah Tebani

Summary: This study evaluated the impact of different hematocrit levels and punching positions on the assessment of enzyme activity in dried blood spot (DBS) samples. The results showed that hematocrit, punching position, and the use of different sampling methods did not affect the assessment of enzyme activity, indicating the reliability of DBS in this test.

CLINICA CHIMICA ACTA (2023)

Article Biochemistry & Molecular Biology

A Longitudinal Study of Individual Radiation Responses in Pediatric Patients Treated with Proton and Photon Radiotherapy, and Interventional Cardiology: Rationale and Research Protocol of the HARMONIC Project

Maria Grazia Andreassi, Nadia Haddy, Mats Harms-Ringdahl, Jonica Campolo, Andrea Borghini, Francois Chevalier, Jochen M. Schwenk, Brice Fresneau, Stephanie Bolle, Manuel Fuentes, Siamak Haghdoost

Summary: The Health Effects of Cardiac Fluoroscopy and Modern Radiotherapy (photon and proton) in Pediatrics (HARMONIC) is a five-year project funded by the European Commission with the aim of improving understanding of long-term ionizing radiation risks for pediatric patients. This paper provides a detailed overview of the project's rationale, design, and methods for the biological aspect, with objectives to understand the molecular pathways and identify potential biomarkers involved in long-term health risks. Biological samples will be collected at three time points, and state-of-the-art analytical methods will be used to assess biomarker levels and explore proteomics and miRNA transcriptomes.

INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES (2023)

Article Biochemistry & Molecular Biology

Itch receptor MRGPRX4 interacts with the receptor activity-modifying proteins

Ilana B. Kotliar, Emilie Ceraudo, Kevin Kemelmakher-Liben, Deena A. Oren, Emily Lorenzen, Tea Dodig-Crnkovic, Mizuho Horioka-Duplix, Thomas Huber, Jochen M. Schwenk, Thomas P. Sakmar

Summary: The interaction between MRGPRX4 and RAMP2 can regulate the signaling pathway and cell surface expression of cholestatic itch, suggesting potential therapeutic implications for future drug development in treating cholestatic itch.

JOURNAL OF BIOLOGICAL CHEMISTRY (2023)

Article Multidisciplinary Sciences

Targeted proteomics using stable isotope labeled protein fragments enables precise and robust determination of total apolipoprotein(a) in human plasma

Andreas Hober, Mirela Rekanovic, Bjorn Forsstrom, Sara Hansson, David Kotol, Andrew J. Percy, Mathias Uhlen, Jan Oscarsson, Fredrik Edfors, Tasso Miliotis

Summary: This study presents a novel quantitative approach to determine the absolute concentration of apo(a) in two microliters of plasma using proteotypic peptides, which meets the requirements for targeted proteomics assays. The assay parameters were optimized, and the LC-SRM/MS results were compared with a commercially available immunoassay.

PLOS ONE (2023)

Article Multidisciplinary Sciences

Multiplexed selectivity screening of anti-GPCR antibodies

Leo Dahl, Ilana B. Kotliar, Annika Bendes, Tea Dodig-Crnkovic, Samuel Fromm, Arne Elofsson, Mathias Uhlen, Thomas P. Sakmar, Jochen M. Schwenk

Summary: A multiplexed immunoassay was developed to test the selectivity of over 400 anti-GPCR antibodies. The results showed that about 61% of the antibodies were selective, 11% bound off-target, and 28% did not bind to any GPCR. It was also found that on-target antibodies had longer, more disordered antigens and were less buried in the interior of GPCR proteins compared to other antibodies.

SCIENCE ADVANCES (2023)

Article Health Care Sciences & Services

Ambient air pollution exposure linked to long COVID among young adults: a nested survey in a population-based cohort in Sweden

Zhebin Yu, Sandra Ekstrom, Tom Bellander, Petter Ljungman, Goeran Pershagen, Kristina Eneroth, Inger Kull, Anna Bergstrom, Antonios Georgelis, Massimo Stafoggia, Olena Gruzieva, Erik Melen

Summary: There is an association between air pollution exposure and long COVID in young adults in Sweden. A survey conducted from October 2021 to February 2022 found that 15.4% of participants reported experiencing long COVID symptoms. The study suggests that long-term exposure to PM2.5 and other air pollutants may increase the risk of long COVID in young adults.

LANCET REGIONAL HEALTH-EUROPE (2023)

Article Medical Laboratory Technology

Deep next-generation proteomics and network analysis reveal systemic and tissue-specific patterns in Fabry disease

Abdellah Tebani, Frederic Barbey, Olivier Dormond, Franklin Ducatez, Stephane Marret, Albina Nowak, Soumeya Bekri

Summary: Fabry disease is an X-linked lysosomal rare disease caused by a deficiency of α-galactosidase A activity. The accumulation of glycosphingolipids affects the kidney, heart, and central nervous system, reducing life expectancy. A deep plasma proteomic profiling identified proteomic profiles that could distinguish FD patients from controls, highlighting the involvement of pro-inflammatory cytokines and extracellular matrix remodeling in FD pathogenesis. These findings will contribute to better understanding of the molecular mechanisms in FD and future diagnostic and therapeutic advancements.

TRANSLATIONAL RESEARCH (2023)

Review Biotechnology & Applied Microbiology

Sequential sequencing by synthesis and the next-generation sequencing revolution

Mathias Uhlen, Stephen R. Quake

Summary: The impact of next-generation sequencing (NGS) is of great significance in the field of life science, contributing to our understanding of human health, disease, biology, and ecology. The majority of NGS systems are based on the concept of 'sequencing by synthesis' (SBS), which uses engineered DNA polymerase for sequential detection of nucleotide incorporation. This review discusses some key concepts leading to the development of NGS technology.

TRENDS IN BIOTECHNOLOGY (2023)

Article Oncology

Absolute Quantification of Pan-Cancer Plasma Proteomes Reveals Unique Signature in Multiple Myeloma

David Kotol, Jakob Woessmann, Andreas Hober, Maria Bueno Alvez, Khue Hua Tran Minh, Fredrik Ponten, Linn Fagerberg, Mathias Uhlen, Fredrik Edfors

Summary: This study utilized mass spectrometry to study proteins in the blood samples of cancer patients and identified potential markers for diagnosing multiple myeloma. By using machine learning and differential expression analysis, a high-accuracy diagnostic model was established, which has significant implications for diagnostic tools in cancer research.

CANCERS (2023)

Article Cardiac & Cardiovascular Systems

Soluble CD14 and Osteoprotegerin Associate with Ankle-Brachial Index as a Measure of Arterial Stiffness in Patients with Mild-to-Moderate Chronic Kidney Disease in a Five-Year Prospective Study

Senka Sendic, Ladan Mansouri, Mun-Gwan Hong, Jochen M. Schwenk, Maria J. Eriksson, Britta Hylander, Joachim Lundahl, Stefan H. Jacobson

Summary: Elevated levels of circulating sCD14 and OPG in patients with CKD stages 2-3 were significantly associated with ABI, a measure of arterial stiffness. An increase in sCD14 over time in CKD stages 2-3 patients was associated with a corresponding increase in ABI.

CARDIORENAL MEDICINE (2023)

Article Endocrinology & Metabolism

Pharmacogenomics of GLP-1 receptor agonists: a genome-wide analysis of observational data and large randomised controlled trials

Adem Y. Dawed, Andrea Mari, Andrew Brown, Timothy J. McDonald, Lin Li, Shuaicheng Wang, Mun-Gwan Hong, Sapna Sharma, Neil R. Robertson, Anubha Mahajan, Xuan Wang, Mark Walker, Stephen Gough, Leen M. 't Hart, Kaixin Zhou, Ian Forgie, Hartmut Ruetten, Imre Pavo, Pallav Bhatnagar, Angus G. Jones, Ewan R. Pearson, for the D. I. R. E. C. T. consortium DIRECT consortium

Summary: This study identified genetic variants associated with the response to GLP-1 receptor agonist treatment in patients with type 2 diabetes, which provides valuable insights for clinical decision making and personalized medicine.

LANCET DIABETES & ENDOCRINOLOGY (2023)

Meeting Abstract Biochemistry & Molecular Biology

Genome-wide expression analysis in Fabry disease human podocyte cell line

Sarah Snanoudj, Celine Derambure, Celine Lesueur, Lenaig Donval, Stephane Marret, Soumeya Bekri, Abdellah Tebani

EUROPEAN JOURNAL OF HUMAN GENETICS (2023)

No Data Available