Cited by 145

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Genetic inactivation of ANGPTL4 improves glucose homeostasis and is associated with reduced risk of diabetes

Gusarova, Viktoria, O’Dushlaine, Colm, Teslovich, Tanya M., Benotti, Peter N., Mirshahi, Tooraj, Gottesman, Omri, Van Hout, Cristopher V., Murray, Michael F., Mahajan, Anubha, Nielsen, Jonas B., Fritsche, Lars, Wulff, Anders Berg, Gudbjartsson, Daniel F., Sjögren, Marketa, Emdin, Connor A., Scott, Robert A., Lee, Wen-Jane, Small, Aeron, Kwee, Lydia C., Dwivedi, Om Prakash, Prasad, Rashmi B., Bruse, Shannon, Lopez, Alexander E., Penn, John, Marcketta, Anthony, Leader, Joseph B., Still, Christopher D., Kirchner, H. Lester, Mirshahi, Uyenlinh L., Wardeh, Amr H., Hartle, Cassandra M., Habegger, Lukas, Fetterolf, Samantha N., Tusie-Luna, Teresa, Morris, Andrew P., Holm, Hilma, Steinthorsdottir, Valgerdur, Sulem, Patrick, Thorsteinsdottir, Unnur, Rotter, Jerome I., Chuang, Lee-Ming, Damrauer, Scott, Birtwell, David, Brummett, Chad M., Khera, Amit V., Natarajan, Pradeep, Orho-Melander, Marju, Flannick, Jason, Lotta, Luca A., Willer, Cristen J., Holmen, Oddgeir L., Ritchie, Marylyn D., Ledbetter, David H., Murphy, Andrew J., Borecki, Ingrid B., Reid, Jeffrey G., Overton, John D., Hansson, Ola, Groop, Leif, Shah, Svati H., Kraus, William E., Rader, Daniel J., Chen, Yii-Der I., Hveem, Kristian, Wareham, Nicholas J., Kathiresan, Sekar, Melander, Olle, Stefansson, Kari, Nordestgaard, Børge G., Tybjærg-Hansen, Anne, Abecasis, Goncalo R., Altshuler, David, Florez, Jose C., Boehnke, Michael, McCarthy, Mark I., Yancopoulos, George D., Carey, David J., Shuldiner, Alan R., Baras, Aris, Dewey, Frederick E., Gromada, Jesper·2018·Nature Communications

Abstract

Angiopoietin-like 4 (ANGPTL4) is an endogenous inhibitor of lipoprotein lipase that modulates lipid levels, coronary atherosclerosis risk, and nutrient partitioning. We hypothesize that loss of ANGPTL4 function might improve glucose homeostasis and decrease risk of type 2 diabetes (T2D). We investigate protein-altering variants in ANGPTL4 among 58,124 participants in the DiscovEHR human genetics study, with follow-up studies in 82,766 T2D cases and 498,761 controls. Carriers of p.E40K, a variant that abolishes ANGPTL4 ability to inhibit lipoprotein lipase, have lower odds of T2D (odds ratio 0.89, 95% confidence interval 0.85–0.92, p = 6.3 × 10−10), lower fasting glucose, and greater insulin sensitivity. Predicted loss-of-function variants are associated with lower odds of T2D among 32,015 cases and 84,006 controls (odds ratio 0.71, 95% confidence interval 0.49–0.99, p = 0.041). Functional studies in Angptl4-deficient mice confirm improved insulin sensitivity and glucose homeostasis. In conclusion, genetic inactivation of ANGPTL4 is associated with improved glucose homeostasis and reduced risk of T2D.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/s41467-018-04611-z

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Figures

Fig. 1 ANGPTL4 p.E40K associates with reduced risk of type 2 diabetes. The association between the p.E40K variant and type 2 diabetes was tested in each study using logistic or Firth logistic regression, coding genotypes according to an additive model. “Combined” effects were calculated using inverse variance weighted fixed-effects meta-analysis. For each study, the squares indicate the odds ratio and lines indicate 95% confidence intervals. The square size is proportional to the standard error of the estimate. CI confidence interval, CGPS Copenhagen General Population Studies, DECODE deCODE, DiscovEHR DiscovEHR Discovery Study, DiscovEHR DiscovEHR-30K, DiscovEHR 30K Replication Study, EINT-C EPIC interact–CoreExome, EINT-Q EPIC Interact–Quad660, ENOR EPIC Norfolk, HUNT the Nord-Trøndelag Health study, MDC Malmo Diet and Cancer Study, MGI the Michigan Genomics Initiative, TD2G/GT2D/DG combined analysis of T2D-GENES, GoT2D, and DIAGRAM studies, UKBB United Kingdom Biobank. The study populations are described in full in Supplementary Table 4 and in the Supplementary Note
Fig. 1 ANGPTL4 p.E40K associates with reduced risk of type 2 diabetes. The association between the p.E40K variant and type 2 diabetes was tested in each study using logistic or Firth logistic regression, coding genotypes according to an additive model. “Combined” effects were calculated using inverse variance weighted fixed-effects meta-analysis. For each study, the squares indicate the odds ratio and lines indicate 95% confidence intervals. The square size is proportional to the standard error of the estimate. CI confidence interval, CGPS Copenhagen General Population Studies, DECODE deCODE, DiscovEHR DiscovEHR Discovery Study, DiscovEHR DiscovEHR-30K, DiscovEHR 30K Replication Study, EINT-C EPIC interact–CoreExome, EINT-Q EPIC Interact–Quad660, ENOR EPIC Norfolk, HUNT the Nord-Trøndelag Health study, MDC Malmo Diet and Cancer Study, MGI the Michigan Genomics Initiative, TD2G/GT2D/DG combined analysis of T2D-GENES, GoT2D, and DIAGRAM studies, UKBB United Kingdom Biobank. The study populations are described in full in Supplementary Table 4 and in the Supplementary NoteCC BY · PubMed Central
Fig. 2 Plasma ANGPTL4 levels are reduced in p.G313fs carriers. ANGPTL4 plasma levels were measured in fasted serum from 86 heterozygous p.E40K, 42 heterozygous p.G313fs variant carriers, and 55 controls matched for age, sex, and body mass index. Statistics performed by unpaired t-test with Welch’s correction, comparing each variant carriers group to controls, ****p < 0.0001
Fig. 2 Plasma ANGPTL4 levels are reduced in p.G313fs carriers. ANGPTL4 plasma levels were measured in fasted serum from 86 heterozygous p.E40K, 42 heterozygous p.G313fs variant carriers, and 55 controls matched for age, sex, and body mass index. Statistics performed by unpaired t-test with Welch’s correction, comparing each variant carriers group to controls, ****p < 0.0001CC BY · PubMed Central
Fig. 3 K40 and G313fs abolish ANGPTL4 effect on triglycerides. a Plasma triglycerides levels (4 h fasted) in C57Bl/6 mice before (Baseline) and 7 days after (Day 7) hydrodynamic delivery via tail vein injection of cDNA encoding human E40, K40, and Gly313fs ANGPTL4 variants. Control animals were injected with empty vector. b ANGPTL4 plasma levels were measured in the animals described in (a). All groups had five animals. Values are mean ± SEM. Statistics performed by two-way ANOVA with Bonferroni correction, ****p < 0.0001 vs control
Fig. 3 K40 and G313fs abolish ANGPTL4 effect on triglycerides. a Plasma triglycerides levels (4 h fasted) in C57Bl/6 mice before (Baseline) and 7 days after (Day 7) hydrodynamic delivery via tail vein injection of cDNA encoding human E40, K40, and Gly313fs ANGPTL4 variants. Control animals were injected with empty vector. b ANGPTL4 plasma levels were measured in the animals described in (a). All groups had five animals. Values are mean ± SEM. Statistics performed by two-way ANOVA with Bonferroni correction, ****p < 0.0001 vs controlCC BY · PubMed Central
Fig. 4 Angptl4−/− mice have improved glucose homeostasis. a Serum triglycerides, (b) total cholesterol, and (c) blood glucose levels in Angptl4−/− and littermate control mice on a high-fat diet for 9 weeks. d Oral glucose tolerance test and (e) insulin tolerance test in the animals described in (a–c). All groups had 9–11 animals. Values are mean ± SEM. Statistical analysis by Welch’s t-test (a) and 2-way ANOVA with Sidak’s post-test (d, e), **p < 0.001, ****p < 0.0001. The study was conducted in three different cohorts of mice, with qualitatively similar results in each replicate
Fig. 4 Angptl4−/− mice have improved glucose homeostasis. a Serum triglycerides, (b) total cholesterol, and (c) blood glucose levels in Angptl4−/− and littermate control mice on a high-fat diet for 9 weeks. d Oral glucose tolerance test and (e) insulin tolerance test in the animals described in (a–c). All groups had 9–11 animals. Values are mean ± SEM. Statistical analysis by Welch’s t-test (a) and 2-way ANOVA with Sidak’s post-test (d, e), **p < 0.001, ****p < 0.0001. The study was conducted in three different cohorts of mice, with qualitatively similar results in each replicateCC BY · PubMed Central
Fig. 5 Angptl4−/− mice have reduced liver fat. a Body weight, (b) lean and (c) fat mass in Angptl4−/− and littermate control mice on a high-fat diet. d Liver and (e) epididymal white fat weights were evaluated in mice described in (a–c) at the time of killing. f Hepatic triglyceride levels and (g) neutral lipid staining in the livers described in (d), scale bar = 200 µm. h Respiratory exchange ratio (RER), (i) locomotor activity, (j) food intake, and (k) energy expenditure were measured during dark and light cycles in Angptl4−/− and littermate control mice on a high-fat diet. All values are mean ± SEM. Statistical analysis was conducted by Welch’s t-test; *p < 0.05; **p < 0.01. The study was conducted in two different cohorts of mice, with qualitatively similar results in each replicate
Fig. 5 Angptl4−/− mice have reduced liver fat. a Body weight, (b) lean and (c) fat mass in Angptl4−/− and littermate control mice on a high-fat diet. d Liver and (e) epididymal white fat weights were evaluated in mice described in (a–c) at the time of killing. f Hepatic triglyceride levels and (g) neutral lipid staining in the livers described in (d), scale bar = 200 µm. h Respiratory exchange ratio (RER), (i) locomotor activity, (j) food intake, and (k) energy expenditure were measured during dark and light cycles in Angptl4−/− and littermate control mice on a high-fat diet. All values are mean ± SEM. Statistical analysis was conducted by Welch’s t-test; *p < 0.05; **p < 0.01. The study was conducted in two different cohorts of mice, with qualitatively similar results in each replicateCC BY · PubMed Central

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Research works printed but not linked: 44

  1. Yoshida, K., Shimizugawa, T., Ono, M. & Furukawa, H. Angiopoietin-like protein 4 is a potent hyperlipidemia-inducing factor in mice and inhibitor of lipoprotein lipase. J. Lipid Res. 43, 1770–1772 (2002). · DOI · Paper page
  2. Yau, M. H. et al. A highly conserved motif within the NH2-terminal coiled-coil domain of angiopoietin-like protein 4 confers its inhibitory effects on lipoprotein lipase by disrupting the enzyme dimerization. J. Biol. Chem. 284, 11942–11952 (2009). · DOI · Paper page
  3. Sukonina, V., Lookene, A., Olivecrona, T. & Olivecrona, G. Angiopoietin-like protein 4 converts lipoprotein lipase to inactive monomers and modulates lipase activity in adipose tissue. Proc. Natl. Acad. Sci. USA 103, 17450–17455 (2006). · DOI · Paper page
  4. Romeo, S. et al. Population-based resequencing of ANGPTL4 uncovers variations that reduce triglycerides and increase HDL. Nat. Genet. 39, 513–516 (2007). · DOI · Paper page
  5. Romeo, S. et al. Rare loss-of-function mutations in ANGPTL family members contribute to plasma triglyceride levels in humans. J. Clin. Invest. 119, 70–79 (2009).
  6. Desai, U. et al. Lipid-lowering effects of anti-angiopoietin-like 4 antibody recapitulate the lipid phenotype found in angiopoietin-like 4 knockout mice. Proc. Natl. Acad. Sci. USA 104, 11766–11771 (2007). · DOI · Paper page
  7. Wang, Y. et al. Hepatic ANGPTL3 regulates adipose tissue energy homeostasis. Proc. Natl. Acad. Sci. USA 112, 11630–11635 (2015). · DOI · Paper page
  8. Zhang, R. The ANGPTL3-4-8 model, a molecular mechanism for triglyceride trafficking. Open Biol. 6, 150272 (2016). · DOI
  9. Kersten, S. Physiological regulation of lipoprotein lipase. Biochim. Biophys. Acta 1841, 919–933 (2014). · DOI
  10. Dijk, W. & Kersten, S. Regulation of lipid metabolism by angiopoietin-like proteins. Curr. Opin. Lipidol. 27, 249–256 (2016). · DOI
  11. Liu, D. J. et al. Exome-wide association study of plasma lipids in 300,000 individuals. Nat. Genet. 49, 1758–1766 (2017). · DOI · Paper page
  12. Yin, W. et al. Genetic variation in ANGPTL4 provides insights into protein processing and function. J. Biol. Chem. 284, 13213–13222 (2009). · DOI · Paper page
  13. Okamoto, H. et al. Angptl4 does not control hyperglucagonemia or alpha-cell hyperplasia following glucagon receptor inhibition. Proc. Natl. Acad. Sci. USA 114, 2747–2752 (2017). · DOI
  14. Xu, A. et al. Angiopoietin-like protein 4 decreases blood glucose and improves glucose tolerance but induces hyperlipidemia and hepatic steatosis in mice. Proc. Natl. Acad. Sci. USA 102, 6086–6091 (2005). · DOI · Paper page
  15. Wang, Y. et al. Angiopoietin-like protein 4 improves glucose tolerance and insulin resistance but induces liver steatosis in high-fat-diet mice. Mol. Med. Rep. 14, 3293–3300 (2016). · DOI
  16. Mandard, S. et al. The fasting-induced adipose factor/angiopoietin-like protein 4 is physically associated with lipoproteins and governs plasma lipid levels and adiposity. J. Biol. Chem. 281, 934–944 (2006). · DOI · Paper page
  17. Groop, L. et al. Metabolic consequences of a family history of NIDDM (the Botnia study): evidence for sex-specific parental effects. Diabetes 45, 1585–1593 (1996). · DOI
  18. Isomaa, B. et al. A family history of diabetes is associated with reduced physical fitness in the Prevalence, Prediction and Prevention of Diabetes (PPP)-Botnia study. Diabetologia 53, 1709–1713 (2010). · DOI
  19. Lichtenstein, L. et al. Angptl4 protects against severe proinflammatory effects of saturated fat by inhibiting fatty acid uptake into mesenteric lymph node macrophages. Cell Metab. 12, 580–592 (2010). · DOI · Paper page
  20. Smart-Halajko, M. C. et al. The relationship between plasma angiopoietin-like protein 4 levels, angiopoietin-like protein 4 genotype, and coronary heart disease risk. Arterioscler. Thromb. Vasc. Biol. 30, 2277–2282 (2010). · DOI
  21. Lotta, L. A. et al. Integrative genomic analysis implicates limited peripheral adipose storage capacity in the pathogenesis of human insulin resistance. Nat. Genet. 49, 17–26 (2017). · DOI
  22. Aryal, B. et al. Absence of ANGPTL4 in adipose tissue improves glucose tolerance and attenuates atherogenesis. JCI Insight 3, pii: 97918 (2018). · DOI · Paper page
  23. Lovshin, J. A. & Drucker, D. J. Incretin-based therapies for type 2 diabetes mellitus. Nat. Rev. Endocrinol. 5, 262–269 (2009). · DOI
  24. Scott, R. A. et al. A genomic approach to therapeutic target validation identifies a glucose-lowering GLP1R variant protective for coronary heart disease. Sci. Transl. Med. 8, 341ra76 (2016). · DOI
  25. Dewey, F. E. et al. Distribution and clinical impact of functional variants in 50,726 whole-exome sequences from the DiscovEHR study. Science 354, pii: aaf6814 (2016). · DOI
  26. McKenna, A. et al. The Genome Analysis Toolkit: a MapReduce framework for analyzing next-generation DNA sequencing data. Genome Res. 20, 1297–1303 (2010). · DOI · Paper page
  27. Cingolani, P. et al. A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w1118; iso-2; iso-3. Fly (Austin) 6, 80–92 (2012). · DOI · Paper page
  28. Kho, A. N. et al. Use of diverse electronic medical record systems to identify genetic risk for type 2 diabetes within a genome-wide association study. J. Am. Med. Inform. Assoc. 19, 212–218 (2012). · DOI
  29. Berglund, G., Elmstahl, S., Janzon, L. & Larsson, S. A. The Malmo Diet and Cancer Study. Design and feasibility. J. Intern. Med. 233, 45–51 (1993). · DOI
  30. Enhorning, S., Hedblad, B., Nilsson, P. M., Engstrom, G. & Melander, O. Copeptin is an independent predictor of diabetic heart disease and death. Am. Heart J. 169, 549–56 e1 (2015). · DOI
  31. Day, N. et al. EPIC-Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer. Br. J. Cancer 80(Suppl 1), 95–103 (1999).
  32. Jorgensen, A. B. et al. Genetically elevated non-fasting triglycerides and calculated remnant cholesterol as causal risk factors for myocardial infarction. Eur. Heart J. 34, 1826–1833 (2013). · DOI · Paper page
  33. Varbo, A. et al. Remnant cholesterol as a causal risk factor for ischemic heart disease. J. Am. Coll. Cardiol. 61, 427–436 (2013). · DOI · Paper page
  34. Steinthorsdottir, V. et al. Identification of low-frequency and rare sequence variants associated with elevated or reduced risk of type 2 diabetes. Nat. Genet. 46, 294–298 (2014). · DOI
  35. Helgadottir, A. et al. Variants with large effects on blood lipids and the role of cholesterol and triglycerides in coronary disease. Nat. Genet. 48, 634–639 (2016). · DOI
  36. Kraus, W. E. et al. A Guide for a Cardiovascular Genomics Biorepository: the CATHGEN Experience. J. Cardiovasc Transl. Res. 8, 449–457 (2015). · DOI
  37. Kuo, J. Z. et al. Trans-ethnic fine mapping identifies a novel independent locus at the 3’ end of CDKAL1 and novel variants of several susceptibility loci for type 2 diabetes in a Han Chinese population. Diabetologia 56, 2619–2628 (2013). · DOI
  38. Sheu, W. H. et al. Genome-wide association study in a Chinese population with diabetic retinopathy. Hum. Mol. Genet. 22, 3165–3173 (2013). · DOI
  39. Chang, Y. C. et al. Replication of genome-wide association signals of type 2 diabetes in Han Chinese in a prospective cohort. Clin. Endocrinol. (Oxf.) 76, 365–372 (2012). · DOI
  40. Victor, R. G. et al. The Dallas Heart Study: a population-based probability sample for the multidisciplinary study of ethnic differences in cardiovascular health. Am. J. Cardiol. 93, 1473–1480 (2004). · DOI
  41. Denny, J. C. et al. Systematic comparison of phenome-wide association study of electronic medical record data and genome-wide association study data. Nat. Biotechnol. 31, 1102–1110 (2013). · DOI
  42. Valenzuela, D. M. et al. High-throughput engineering of the mouse genome coupled with high-resolution expression analysis. Nat. Biotechnol. 21, 652–659 (2003). · DOI
  43. Gusarova, V. et al. ANGPTL3 blockade with a human monoclonal antibody reduces plasma lipids in dyslipidemic mice and monkeys. J. Lipid Res. 56, 1308–1317 (2015). · DOI · Paper page
  44. Gusarova, V. et al. ANGPTL8 blockade with a monoclonal antibody promotes triglyceride clearance, energy expenditure, and weight loss in mice. Endocrinology 158, 1252–1259 (2017). · DOI

Cited by

Sorted by citations

See all 145

Metadata

Authors
Gusarova, V., O’Dushlaine, C., Teslovich, T. M., Benotti, P. N., Mirshahi, T., Gottesman, O., Van Hout, C. V., Murray, M. F., Mahajan, A., Nielsen, J. B., Fritsche, L., Wulff, A. B., Gudbjartsson, D. F., Sjögren, M., Emdin, C. A., Scott, R. A., Lee, W.-J., Small, A., Kwee, L. C., Dwivedi, O. P., Prasad, R. B., Bruse, S., Lopez, A. E., Penn, J., Marcketta, A., Leader, J. B., Still, C. D., Kirchner, H. L., Mirshahi, U. L., Wardeh, A. H., Hartle, C. M., Habegger, L., Fetterolf, S. N., Tusie-Luna, T., Morris, A. P., Holm, H., Steinthorsdottir, V., Sulem, P., Thorsteinsdottir, U., Rotter, J. I., Chuang, L.-M., Damrauer, S., Birtwell, D., Brummett, C. M., Khera, A. V., Natarajan, P., Orho-Melander, M., Flannick, J., Lotta, L. A., Willer, C. J., Holmen, O. L., Ritchie, M. D., Ledbetter, D. H., Murphy, A. J., Borecki, I. B., Reid, J. G., Overton, J. D., Hansson, O., Groop, L., Shah, S. H., Kraus, W. E., Rader, D. J., Chen, Y.-D. I., Hveem, K., Wareham, N. J., Kathiresan, S., Melander, O., Stefansson, K., Nordestgaard, B. G., Tybjærg-Hansen, A., Abecasis, G. R., Altshuler, D., Florez, J. C., Boehnke, M., McCarthy, M. I., Yancopoulos, G. D., Carey, D. J., Shuldiner, A. R., Baras, A., Dewey, F. E., & Gromada, J.
Venue
Nature Communications
Published
2018-06-13
Volume
9
Issue
1
ISSN
2041-1723
Cited by
145
References
14
Language
en

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review