IDEAS home Printed from https://ideas.repec.org/a/plo/pgen00/1010093.html

Analyzing human knockouts to validate GPR151 as a therapeutic target for reduction of body mass index

Author

Listed:
  • Allan Gurtan
  • John Dominy
  • Shareef Khalid
  • Linh Vong
  • Shari Caplan
  • Treeve Currie
  • Sean Richards
  • Lindsey Lamarche
  • Daniel Denning
  • Diana Shpektor
  • Anastasia Gurinovich
  • Asif Rasheed
  • Shahid Hameed
  • Subhan Saeed
  • Imran Saleem
  • Anjum Jalal
  • Shahid Abbas
  • Raffat Sultana
  • Syed Zahed Rasheed
  • Fazal-ur-Rehman Memon
  • Nabi Shah
  • Mohammad Ishaq
  • Amit V Khera
  • John Danesh
  • Philippe Frossard
  • Danish Saleheen

Abstract

Novel drug targets for sustained reduction in body mass index (BMI) are needed to curb the epidemic of obesity, which affects 650 million individuals worldwide and is a causal driver of cardiovascular and metabolic disease and mortality. Previous studies reported that the Arg95Ter nonsense variant of GPR151, an orphan G protein-coupled receptor, is associated with reduced BMI and reduced risk of Type 2 Diabetes (T2D). Here, we further investigate GPR151 with the Pakistan Genome Resource (PGR), which is one of the largest exome biobanks of human homozygous loss-of-function carriers (knockouts) in the world. Among PGR participants, we identify eleven GPR151 putative loss-of-function (plof) variants, three of which are present at homozygosity (Arg95Ter, Tyr99Ter, and Phe175LeufsTer7), with a cumulative allele frequency of 2.2%. We confirm these alleles in vitro as loss-of-function. We test if GPR151 plof is associated with BMI, T2D, or other metabolic traits and find that GPR151 deficiency in complete human knockouts is not associated with clinically significant differences in these traits. Relative to Gpr151+/+ mice, Gpr151-/- animals exhibit no difference in body weight on normal chow and higher body weight on a high-fat diet. Together, our findings indicate that GPR151 antagonism is not a compelling therapeutic approach to treatment of obesity.Author summary: Human genetics studies can provide compelling targets for therapeutic intervention. While some therapeutic targets, such as PCSK9, are based on extensive genetic validation, many others are based on weaker associations with variants of unknown consequence that require further validation. Recent publications reported associations between loss of GPR151 function and low body mass index (BMI), raising the possibility of inhibiting GPR151 for the treatment of obesity and metabolic syndromes. To evaluate the relationship between GPR151 and BMI, we (1) identified and experimentally confirmed loss-of-function variants present in the Pakistan Genome Resource (PGR) biobank, one of the world’s largest biobanks of human gene “knockouts”, (2) analyzed these loss-of-function variants individually and in burden tests for association with BMI and other metabolic traits or diseases, and (3) verified the evolutionary conservation of our findings in mice lacking Gpr151. We observe that GPR151 loss does not affect BMI to a clinically relevant extent and conclude that inhibiting GPR151 may not be effective at treating obesity.

Suggested Citation

  • Allan Gurtan & John Dominy & Shareef Khalid & Linh Vong & Shari Caplan & Treeve Currie & Sean Richards & Lindsey Lamarche & Daniel Denning & Diana Shpektor & Anastasia Gurinovich & Asif Rasheed & Shah, 2022. "Analyzing human knockouts to validate GPR151 as a therapeutic target for reduction of body mass index," PLOS Genetics, Public Library of Science, vol. 18(4), pages 1-13, April.
  • Handle: RePEc:plo:pgen00:1010093
    DOI: 10.1371/journal.pgen.1010093
    as

    Download full text from publisher

    File URL: https://journals.plos.org/plosgenetics/article?id=10.1371/journal.pgen.1010093
    Download Restriction: no

    File URL: https://journals.plos.org/plosgenetics/article/file?id=10.1371/journal.pgen.1010093&type=printable
    Download Restriction: no

    File URL: https://libkey.io/10.1371/journal.pgen.1010093?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Eric Vallabh Minikel & Konrad J. Karczewski & Hilary C. Martin & Beryl B. Cummings & Nicola Whiffin & Daniel Rhodes & Jessica Alföldi & Richard C. Trembath & David A. Heel & Mark J. Daly & Stuart L. S, 2020. "Evaluating drug targets through human loss-of-function genetic variation," Nature, Nature, vol. 581(7809), pages 459-464, May.
    2. Paul T E Cusack, 2020. "The Human Brain," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 31(3), pages 24261-24266, October.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ewa Bielczyk-Maczynska & Meng Zhao & Peter-James H. Zushin & Theresia M. Schnurr & Hyun-Jung Kim & Jiehan Li & Pratima Nallagatla & Panjamaporn Sangwung & Chong Y. Park & Cameron Cornn & Andreas Stahl, 2022. "G protein-coupled receptor 151 regulates glucose metabolism and hepatic gluconeogenesis," Nature Communications, Nature, vol. 13(1), pages 1-15, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Dominic Holland & Oleksandr Frei & Rahul Desikan & Chun-Chieh Fan & Alexey A Shadrin & Olav B Smeland & V S Sundar & Paul Thompson & Ole A Andreassen & Anders M Dale, 2020. "Beyond SNP heritability: Polygenicity and discoverability of phenotypes estimated with a univariate Gaussian mixture model," PLOS Genetics, Public Library of Science, vol. 16(5), pages 1-30, May.
    2. Wenhan Luo & Di Yun & Yi Hu & Miaomiao Tian & Jiajun Yang & Yifan Xu & Yong Tang & Yang Zhan & Hong Xie & Ji-Song Guan, 2022. "Acquiring new memories in neocortex of hippocampal-lesioned mice," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    3. Lihua Zeng & Haiping Ren & Tonghua Yang & Neal Xiong, 2022. "An Intelligent Expert Combination Weighting Scheme for Group Decision Making in Railway Reconstruction," Mathematics, MDPI, vol. 10(4), pages 1-19, February.
    4. Julia Berezutskaya & Zachary V Freudenburg & Umut Güçlü & Marcel A J van Gerven & Nick F Ramsey, 2020. "Brain-optimized extraction of complex sound features that drive continuous auditory perception," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-34, July.
    5. Tom G. Richardson & Daniel J. M. Crouch & Grace M. Power & Fernanda Morales-Berstein & Emma Hazelwood & Si Fang & Yoonsu Cho & Jamie R. J. Inshaw & Catherine C. Robertson & Carlo Sidore & Francesco Cu, 2022. "Childhood body size directly increases type 1 diabetes risk based on a lifecourse Mendelian randomization approach," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    6. Abigail B. Schneider & Bridget Leonard, 2022. "From anxiety to control: Mask‐wearing, perceived marketplace influence, and emotional well‐being during the COVID‐19 pandemic," Journal of Consumer Affairs, Wiley Blackwell, vol. 56(1), pages 97-119, March.
    7. Yan-Ying Wang & Wei-Wei Ma & I-Feng Peng, 2020. "Screening of sleep assisting drug candidates with a Drosophila model," PLOS ONE, Public Library of Science, vol. 15(7), pages 1-17, July.
    8. Mantello, Peter & Ho, Tung Manh & Nguyen, Minh-Hoang & Vuong, Quan-Hoang, 2021. "My Boss the Computer: A Bayesian analysis of socio-demographic and cross-cultural determinants of attitude toward the Non-Human Resource Management," OSF Preprints 4exjs, Center for Open Science.
    9. Geonhui Lee & Woong Choi & Hanjin Jo & Wookhyun Park & Jaehyo Kim, 2020. "Analysis of motor control strategy for frontal and sagittal planes of circular tracking movements using visual feedback noise from velocity change and depth information," PLOS ONE, Public Library of Science, vol. 15(11), pages 1-22, November.
    10. Odelaisy León-Triana & Julián Pérez-Beteta & David Albillo & Ana Ortiz de Mendivil & Luis Pérez-Romasanta & Elisabet González-Del Portillo & Manuel Llorente & Natalia Carballo & Estanislao Arana & Víc, 2021. "Brain Metastasis Response to Stereotactic Radio Surgery: A Mathematical Approach," Mathematics, MDPI, vol. 9(7), pages 1-19, March.
    11. Mirren Charnley & Saba Islam & Guneet K. Bindra & Jeremy Engwirda & Julian Ratcliffe & Jiangtao Zhou & Raffaele Mezzenga & Mark D. Hulett & Kyunghoon Han & Joshua T. Berryman & Nicholas P. Reynolds, 2022. "Neurotoxic amyloidogenic peptides in the proteome of SARS-COV2: potential implications for neurological symptoms in COVID-19," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    12. Samy Castro & Wael El-Deredy & Demian Battaglia & Patricio Orio, 2020. "Cortical ignition dynamics is tightly linked to the core organisation of the human connectome," PLOS Computational Biology, Public Library of Science, vol. 16(7), pages 1-23, July.
    13. Marie-Claire Cammaerts & Roger Cammaerts, 2020. "Ants’ Numerosity Ability Defined in Nine Studies," Journal of Biology and Life Science, Macrothink Institute, vol. 11(1), pages 121-142, February.
    14. Nguyen, Ha Trong & Brinkman, Sally & Le, Huong Thu & Zubrick, Stephen R. & Mitrou, Francis, 2022. "Gender differences in time allocation contribute to differences in developmental outcomes in children and adolescents," Economics of Education Review, Elsevier, vol. 89(C).
    15. Gregor Wolbring, 2022. "Auditing the ‘Social’ of Quantum Technologies: A Scoping Review," Societies, MDPI, vol. 12(2), pages 1-38, March.
    16. April R. Kriebel & Joshua D. Welch, 2022. "UINMF performs mosaic integration of single-cell multi-omic datasets using nonnegative matrix factorization," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    17. Jianzhong Chen & Angela Tam & Valeria Kebets & Csaba Orban & Leon Qi Rong Ooi & Christopher L. Asplund & Scott Marek & Nico U. F. Dosenbach & Simon B. Eickhoff & Danilo Bzdok & Avram J. Holmes & B. T., 2022. "Shared and unique brain network features predict cognitive, personality, and mental health scores in the ABCD study," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    18. Boada, Júlia Pareto & Maestre, Begoña Román & Genís, Carme Torras, 2021. "The ethical issues of social assistive robotics: A critical literature review," Technology in Society, Elsevier, vol. 67(C).
    19. Ermoshkin Vladimir Ivanovich, 2020. "Atherosclerosis Occurs due to Loss of Arterial Blood," Biomedical Journal of Scientific & Technical Research, Biomedical Research Network+, LLC, vol. 30(3), pages 23502-23505, September.
    20. Hamed Nili & Alexander Walther & Arjen Alink & Nikolaus Kriegeskorte, 2020. "Inferring exemplar discriminability in brain representations," PLOS ONE, Public Library of Science, vol. 15(6), pages 1-28, June.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:plo:pgen00:1010093. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: plosgenetics (email available below). General contact details of provider: https://journals.plos.org/plosgenetics/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.