Never waste a good crisis: confronting reproducibility in translational research
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The lack of reproducibility of preclinical experimentation has implications for sustaining trust in and ensuring the viability and funding of the academic research enterprise. Here I identify problematic behaviors and practices and suggest solutions to enhance reproducibility in translational research.
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The necessity for enhancement of result reproducibility in the life sciences has been identified and is gradually being internalized by researchers and institutions alike.
“The necessity for enhancement of result reproducibility in the life sciences has been identified and is gradually being internalized by researchers and institutions alike (Prinz et al., 2011; Drucker, 2016).”
From In Vitro research Reproducibility: Keeping up High Standards (2019) · cites this paper as Drucker, 2016
The paper says reproducibility issues in basic science are now debated regularly and describes increasing recognition of the value of questioning results (Abstract; page unavailable). It clearly identifies a need for improvement, but its proposals for funding agencies and scientific meetings do not establish that researchers and institutions alike are gradually internalizing that need. (LLM, conf=0.82)
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Raise standards for preclinical cancer research
Begley, C. G., & Ellis, L. M. (2012) · Nature · doi:10.1038/483531a · Cited by 2,979 · see citing works
Believe it or not: how much can we rely on published data on potential drug targets?
Prinz, F., Schlange, T., & Asadullah, K. (2011) · Nature Reviews Drug Discovery · doi:10.1038/nrd3439-c1 · Cited by 1,888 · see citing works
Policy: NIH to balance sex in cell and animal studies
Clayton, J. A., & Collins, F. S. (2014) · Nature · doi:10.1038/509282a · Cited by 1,816 · see citing works
Pharmacology, physiology, and mechanisms of incretin hormone action.
Campbell, J. E., & Drucker, D. J. (2013) · Cell Metabolism · doi:10.1016/j.cmet.2013.04.008 · Cited by 1,500 · see citing works
Self-citationWhat does research reproducibility mean?
Goodman, S. N., Fanelli, D., & Ioannidis, J. P. A. (2016) · Science Translational Medicine · doi:10.1126/scitranslmed.aaf5027 · Cited by 1,293 · see citing works
A call for transparent reporting to optimize the predictive value of preclinical research
Landis, S. C., Amara, S. G., Asadullah, K., Austin, C. P., Blumenstein, R., Bradley, E. W., Crystal, R. G., Darnell, R. B., Ferrante, R. J., Fillit, H., et al. (2012) · Nature · doi:10.1038/nature11556 · Cited by 1,196 · see citing works
Pyke, C., Heller, R. S., Kirk, R. K., Ørskov, C., Reedtz-Runge, S., Kaastrup, P., Hvelplund, A., Bardram, L., Calatayud, D., & Knudsen, L. B. (2014) · Endocrinology · doi:10.1210/en.2013-1934 · Cited by 876 · see citing works
Kilkenny, C., Parsons, N., Kadyszewski, E., Festing, M. F. W., Cuthill, I. C., Fry, D., Hutton, J., & Altman, D. G. (2009) · PLoS ONE · doi:10.1371/journal.pone.0007824 · Cited by 860 · see citing works
Reproducibility crisis: Blame it on the antibodies
Baker, M. (2015) · Nature · doi:10.1038/521274a · Cited by 830 · see citing works
Reproducibility: Standardize antibodies used in research
Bradbury, A., & Plückthun, A. (2015) · Nature · doi:10.1038/518027a · Cited by 647 · see citing works
Panjwani, N., Mulvihill, E. E., Longuet, C., Yusta, B., Campbell, J. E., Brown, T. J., Streutker, C., Holland, D., Cao, X., Baggio, L. L., et al. (2013) · Endocrinology · doi:10.1210/en.2012-1937 · Cited by 346 · see citing works
Self-citationExtrapancreatic incretin receptors modulate glucose homeostasis, body weight, and energy expenditure
Hansotia, T., Maida, A., Flock, G., Yamada, Y., Tsukiyama, K., Seino, Y., & Drucker, D. J. (2007) · Journal of Clinical Investigation · doi:10.1172/jci25483 · Cited by 290 · see citing works
Self-citationIncretin Action in the Pancreas: Potential Promise, Possible Perils, and Pathological Pitfalls
Drucker, D. J. (2013) · Diabetes · doi:10.2337/db13-0822 · Cited by 272 · see citing works
Self-citationVasilevsky, N. A., Brush, M. H., Paddock, H., Ponting, L., Tripathy, S. J., LaRocca, G. M., & Haendel, M. A. (2013) · PeerJ · doi:10.7717/peerj.148 · Cited by 271 · see citing works
Teufel, A., Itzel, T., Erhart, W., Brosch, M., Wang, X. Y., Kim, Y. O., von Schönfels, W., Herrmann, A., Brückner, S., Stickel, F., et al. (2016) · Gastroenterology · doi:10.1053/j.gastro.2016.05.051 · Cited by 229 · see citing works
Age-Dependent Pancreatic Gene Regulation Reveals Mechanisms Governing Human β Cell Function
Arda, H. E., Li, L., Tsai, J., Torre, E. A., Rosli, Y., Peiris, H., Spitale, R. C., Dai, C., Gu, X., Qu, K., et al. (2016) · Cell Metabolism · doi:10.1016/j.cmet.2016.04.002 · Cited by 222 · see citing works
Exendin-4 modulates diabetes onset in nonobese diabetic mice
Hadjiyanni, I., Baggio, L. L., Poussier, P., & Drucker, D. J. (2008) · Endocrinology · doi:10.1210/en.2007-1137 · Cited by 110 · see citing works
Self-citationAyala, J. E., Bracy, D. P., James, F. D., Burmeister, M. A., Wasserman, D. H., & Drucker, D. J. (2010) · Endocrinology · doi:10.1210/en.2010-0289 · Cited by 95 · see citing works
Self-citationEvolving Concepts and Translational Relevance of Enteroendocrine Cell Biology
Drucker, D. J. (2016) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jc.2015-3449 · Cited by 63 · see citing works
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Flagged first, then by citations
Research works printed but not linked: 53
- [4]4. Baker, D. ∙ Lidster, K. ∙ Sottomayor, A. ... Two years later: journals are not yet enforcing the ARRIVE guidelines on reporting standards for pre-clinical animal studies PLoS Biol. 2014; 12:e1001756 Crossref Scopus (246) PubMed Google Scholar
- [5]5. Battaglia, M. ∙ Atkinson, M.A. The streetlight effect in type 1 diabetes Diabetes. 2015; 64:1081-1090 Crossref Scopus (58) PubMed Google Scholar
- [7]7. Begley, C.G. ∙ Ioannidis, J.P. Reproducibility in science: improving the standard for basic and preclinical research Circ. Res. 2015; 116:116-126 Crossref Scopus (750) PubMed Google Scholar
- [8]8. Bersell, K. ∙ Choudhury, S. ∙ Mollova, M. ... Moderate and high amounts of tamoxifen in αMHC-MerCreMer mice induce a DNA damage response, leading to heart failure and death Dis. Model. Mech. 2013; 6:1459-1469 Crossref Scopus (116) PubMed Google Scholar
- [9]9. Beura, L.K. ∙ Hamilton, S.E. ∙ Bi, K. ... Normalizing the environment recapitulates adult human immune traits in laboratory mice Nature. 2016; 532:512-516 Crossref Scopus (767) PubMed Google Scholar
- [10]10. Bonner-Weir, S. ∙ In’t Veld, P.A. ∙ Weir, G.C. Reanalysis of study of pancreatic effects of incretin therapy: methodological deficiencies Diabetes Obes. Metab. 2014; 16:661-666 Crossref Scopus (43) PubMed Google Scholar
- [12]12. Brouwers, B. ∙ de Faudeur, G. ∙ Osipovich, A.B. ... Impaired islet function in commonly used transgenic mouse lines due to human growth hormone minigene expression Cell Metab. 2014; 20:979-990 Full Text Full Text (PDF) Scopus (137) PubMed Google Scholar
- [14]14. Claus, S.P. ∙ Tsang, T.M. ∙ Wang, Y. ... Systemic multicompartmental effects of the gut microbiome on mouse metabolic phenotypes Mol. Syst. Biol. 2008; 4:219 Crossref Scopus (294) PubMed Google Scholar
- [16]16. Collins, F.S. ∙ Tabak, L.A. Policy: NIH plans to enhance reproducibility Nature. 2014; 505:612-613 Crossref Scopus (973) PubMed Google Scholar
- [17]17. Donath, M.Y. Targeting inflammation in the treatment of type 2 diabetes: time to start Nat. Rev. Drug Discov. 2014; 13:465-476 Crossref Scopus (578) PubMed Google Scholar
- [18]18. Donath, M.Y. Multiple benefits of targeting inflammation in the treatment of type 2 diabetes Diabetologia. 2016; 59:679-682 Crossref Scopus (88) PubMed Google Scholar
- [19]19. Drucker, D.J. Incretin-based therapy and the quest for sustained improvements in β-cell health Diabetes Care. 2011; 34:2133-2135 Crossref Scopus (20) PubMed Google Scholar
- [21]21. Drucker, D.J. Deciphering metabolic messages from the gut drives therapeutic innovation: the 2014 Banting Lecture Diabetes. 2015; 64:317-326 Crossref Scopus (64) PubMed Google Scholar
- [23]23. Drucker, D.J. ∙ Yusta, B. Physiology and pharmacology of the enteroendocrine hormone glucagon-like peptide-2 Annu. Rev. Physiol. 2014; 76:561-583 Crossref Scopus (243) PubMed Google Scholar
- [24]24. Egan, A.G. ∙ Blind, E. ∙ Dunder, K. ... Pancreatic safety of incretin-based drugs--FDA and EMA assessment N. Engl. J. Med. 2014; 370:794-797 Crossref Scopus (436) PubMed Google Scholar
- [25]25. Emambokus, N. ∙ Granger, A. The Elephant in the Room Cell Metab. 2015; 22:345 Full Text Full Text (PDF) Scopus (2) PubMed Google Scholar
- [26]26. Freedman, L.P. ∙ Gibson, M.C. ∙ Ethier, S.P. ... Reproducibility: changing the policies and culture of cell line authentication Nat. Methods. 2015; 12:493-497 Crossref Scopus (93) PubMed Google Scholar
- [27]27. Freedman, L.P. ∙ Gibson, M.C. ∙ Bradbury, A.R.M. ... [Letter to the Editor] The need for improved education and training in research antibody usage and validation practices Biotechniques. 2016; 61:16-18 Crossref Scopus (27) PubMed Google Scholar
- [28]28. Fuchsberger, C. ∙ Flannick, J. ∙ Teslovich, T.M. ... The genetic architecture of type 2 diabetes Nature. 2016; 536:41-47 Crossref Scopus (799) PubMed Google Scholar
- [30]30. Gore, A.C. Editorial: antibody validation requirements for articles published in endocrinology Endocrinology. 2013; 154:579-580 Crossref Scopus (35) PubMed Google Scholar
- [33]33. Harwood, Jr., H.J. ∙ Listrani, P. ∙ Wagner, J.D. Nonhuman primates and other animal models in diabetes research J. Diabetes Sci. Technol. 2012; 6:503-514 Crossref Scopus (61) PubMed Google Scholar
- [34]34. Heffner, C.S. ∙ Herbert Pratt, C. ∙ Babiuk, R.P. ... Supporting conditional mouse mutagenesis with a comprehensive cre characterization resource Nat. Commun. 2012; 3:1218 Crossref Scopus (170) PubMed Google Scholar
- [35]35. Hodge, R.J. ∙ Paulik, M.A. ∙ Walker, A. ... Weight and Glucose Reduction Observed with a Combination of Nutritional Agents in Rodent Models Does Not Translate to Humans in a Randomized Clinical Trial with Healthy Volunteers and Subjects with Type 2 Diabetes PLoS ONE. 2016; 11:e0153151 Google Scholar
- [36]36. Hrabě de Angelis, M. ∙ Nicholson, G. ∙ Selloum, M. ..., EUMODIC Consortium Analysis of mammalian gene function through broad-based phenotypic screens across a consortium of mouse clinics Nat. Genet. 2015; 47:969-978 Crossref Scopus (119) PubMed Google Scholar
- [37]37. Huh, W.J. ∙ Khurana, S.S. ∙ Geahlen, J.H. ... Tamoxifen induces rapid, reversible atrophy, and metaplasia in mouse stomach Gastroenterology. 2012; 142:21-24.e7 Full Text Full Text (PDF) Scopus (181) PubMed Google Scholar
- [38]38. Kayton, N.S. ∙ Poffenberger, G. ∙ Henske, J. ... Human islet preparations distributed for research exhibit a variety of insulin-secretory profiles Am. J. Physiol. Endocrinol. Metab. 2015; 308:E592-E602 Crossref Scopus (66) PubMed Google Scholar
- [40]40. Kilkenny, C. ∙ Browne, W.J. ∙ Cuthill, I.C. ... Improving bioscience research reporting: the ARRIVE guidelines for reporting animal research PLoS Biol. 2010; 8:e1000412 Crossref Scopus (5443) PubMed Google Scholar
- [41]41. Koitabashi, N. ∙ Bedja, D. ∙ Zaiman, A.L. ... Avoidance of transient cardiomyopathy in cardiomyocyte-targeted tamoxifen-induced MerCreMer gene deletion models Circ. Res. 2009; 105:12-15 Crossref Scopus (165) PubMed Google Scholar
- [43]43. Lee, J.Y. ∙ Ristow, M. ∙ Lin, X. ... RIP-Cre revisited, evidence for impairments of pancreatic beta-cell function J. Biol. Chem. 2006; 281:2649-2653 Crossref Scopus (210) PubMed Google Scholar
- [44]44. Libby, P. Murine “model” monotheism: an iconoclast at the altar of mouse Circ. Res. 2015; 117:921-925 Crossref Scopus (48) PubMed Google Scholar
- [45]45. Lim, G.E. ∙ Brubaker, P.L. Glucagon-Like Peptide 1 Secretion by the L-Cell: The View From Within Diabetes. 2006; 55:S70-S77 Crossref Scopus (175) PubMed Google Scholar
- [46]46. Lyon, J. ∙ Manning Fox, J.E. ∙ Spigelman, A.F. ... Research-Focused Isolation of Human Islets From Donors With and Without Diabetes at the Alberta Diabetes Institute IsletCore Endocrinology. 2016; 157:560-569 Crossref Scopus (89) PubMed Google Scholar
- [47]47. Macleod, M.R. ∙ Lawson McLean, A. ∙ Kyriakopoulou, A. ... Risk of Bias in Reports of In Vivo Research: A Focus for Improvement PLoS Biol. 2015; 13:e1002273 Crossref Scopus (219) PubMed Google Scholar
- [48]48. Magnuson, M.A. ∙ Osipovich, A.B. Pancreas-specific Cre driver lines and considerations for their prudent use Cell Metab. 2013; 18:9-20 Full Text Full Text (PDF) Scopus (153) PubMed Google Scholar
- [49]49. Mancini, A.D. ∙ Poitout, V. GPR40 agonists for the treatment of type 2 diabetes: life after ‘TAKing’ a hit Diabetes Obes. Metab. 2015; 17:622-629 Crossref Scopus (93) PubMed Google Scholar
- [50]50. McNutt, M. Journals unite for reproducibility Science. 2014; 346:679 Crossref Scopus (207) PubMed Google Scholar
- [51]51. Mekada, K. ∙ Abe, K. ∙ Murakami, A. ... Genetic differences among C57BL/6 substrains Exp. Anim. 2009; 58:141-149 Crossref Scopus (273) PubMed Google Scholar
- [53]53. Pais, R. ∙ Gribble, F.M. ∙ Reimann, F. Stimulation of incretin secreting cells Ther. Adv. Endocrinol. Metab. 2016; 7:24-42 Crossref Scopus (72) PubMed Google Scholar
- [55]55. Parnaud, G. ∙ Bosco, D. ∙ Berney, T. ... Proliferation of sorted human and rat beta cells Diabetologia. 2008; 51:91-100 Crossref Scopus (201) PubMed Google Scholar
- [57]57. Pyke, C. ∙ Knudsen, L.B. The glucagon-like peptide-1 receptor--or not? Endocrinology. 2013; 154:4-8 Crossref Scopus (132) PubMed Google Scholar
- [59]59. Rankin, M.M. ∙ Kushner, J.A. Adaptive beta-cell proliferation is severely restricted with advanced age Diabetes. 2009; 58:1365-1372 Crossref Scopus (276) PubMed Google Scholar
- [60]60. Ritter, K. ∙ Buning, C. ∙ Halland, N. ... G Protein-Coupled Receptor 119 (GPR119) Agonists for the Treatment of Diabetes: Recent Progress and Prevailing Challenges J. Med. Chem. 2016; 59:3579-3592 Crossref Scopus (105) PubMed Google Scholar
- [61]61. Rother, K.I. ∙ Spain, L.M. ∙ Wesley, R.A. ... Effects of exenatide alone and in combination with daclizumab on beta-cell function in long-standing type 1 diabetes Diabetes Care. 2009; 32:2251-2257 Crossref Scopus (111) PubMed Google Scholar
- [62]62. Schmidt-Supprian, M. ∙ Rajewsky, K. Vagaries of conditional gene targeting Nat. Immunol. 2007; 8:665-668 Crossref Scopus (351) PubMed Google Scholar
- [63]63. Scrocchi, L.A. ∙ Drucker, D.J. Effects of aging and a high fat diet on body weight and glucose control in glucagon-like peptide-1 receptor -/- mice Endocrinology. 1998; 139:3127-3132 Crossref Scopus (64) PubMed Google Scholar
- [64]64. Sigmund, C.D. Viewpoint: are studies in genetically altered mice out of control? Arterioscler. Thromb. Vasc. Biol. 2000; 20:1425-1429 Crossref Scopus (110) PubMed Google Scholar
- [65]65. Speakman, J.R. ∙ Keijer, J. Not so hot: Optimal housing temperatures for mice to mimic the thermal environment of humans Mol. Metab. 2012; 2:5-9 Full Text Full Text (PDF) Scopus (147) PubMed Google Scholar
- [67]67. Tian, X.Y. ∙ Ganeshan, K. ∙ Hong, C. ... Thermoneutral Housing Accelerates Metabolic Inflammation to Potentiate Atherosclerosis but Not Insulin Resistance Cell Metab. 2016; 23:165-178 Full Text Full Text (PDF) Scopus (114) PubMed Google Scholar
- [68]68. Tschen, S.I. ∙ Dhawan, S. ∙ Gurlo, T. ... Age-dependent decline in beta-cell proliferation restricts the capacity of beta-cell regeneration in mice Diabetes. 2009; 58:1312-1320 Crossref Scopus (291) PubMed Google Scholar
- [69]69. Ussar, S. ∙ Griffin, N.W. ∙ Bezy, O. ... Interactions between Gut Microbiota, Host Genetics and Diet Modulate the Predisposition to Obesity and Metabolic Syndrome Cell Metab. 2015; 22:516-530 Full Text Full Text (PDF) Scopus (419) PubMed Google Scholar
- [72]72. Wang, B. ∙ Chandrasekera, P.C. ∙ Pippin, J.J. Leptin- and leptin receptor-deficient rodent models: relevance for human type 2 diabetes Curr. Diabetes Rev. 2014; 10:131-145 Crossref Scopus (375) PubMed Google Scholar
- [73]73. Wicksteed, B. ∙ Brissova, M. ∙ Yan, W. ... Conditional gene targeting in mouse pancreatic ß-Cells: analysis of ectopic Cre transgene expression in the brain Diabetes. 2010; 59:3090-3098 Crossref Scopus (270) PubMed Google Scholar
- [74]74. Woods, S.C. ∙ Begg, D.P. Food for Thought: Revisiting the Complexity of Food Intake Cell Metab. 2015; 22:348-351 Full Text Full Text (PDF) Scopus (12) PubMed Google Scholar
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- Authors
- Drucker, D. J.
- Affiliations
- Mount Sinai Hospital (CA)
- Corresponding author
- Drucker, Daniel J.
- ORCID
- Drucker, Daniel J.
- Venue
- Cell Metabolism
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 24
- Issue
- 3
- Pages
- 348-360
- ISSN
- 1550-4131 (ISSN-L)
- OpenAlex
- W2518883904
- Cited by
- 117
- References
- 19
- Citations by year
- 2026: 3 · 2025: 7 · 2024: 9 · 2023: 6 · 2022: 8 · 2021: 17 · 2020: 14 · 2019: 26 · 2018: 14 · 2017: 10 · 2016: 3
- FWCI
- 23.84
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell Metabolism (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research
- Topics
- Health Sciences › Veterinary › Small Animals › Animal testing and alternatives
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Keywords
- reproducibility, translational research, preclinical research, research integrity, research misconduct, research funding, public trust in science, research practices
- MeSH terms
- Animals, Communication, Publishing, Reproducibility of Results, Models, Animal, Animal Experimentation, Biomedical Research, Mice, Translational Research, Biomedical, Research Report
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