On Sept. 2, 2021, a professor at the University of Iowa, in Iowa City, emailed a biochemistry journal asking to correct a paper she had published the previous year. An experiment had “unintentionally” been omitted from a figure, Isabella Grumbach explained, and a comparison of experimental groups contained “a minor error in the degree of statistical significance.” A correction ensued.
But the problems with the article, “Inhibition of CaMKII in mitochondria preserves endothelial barrier function after irradiation,” appear to have been more deep-rooted than the email suggested. An anonymous commenter on PubPeer had first raised concerns about the article, which had appeared in Free Radical Biology and Medicine (FRBM), in July 2021, more than a year after it was published. The commenter claimed error bars between two figures were vastly different, even though they were meant to be related data points.
Grumbach, the corresponding author of the paper, promised to investigate. A month later, she wrote to Rafael Radi, an editor at the journal, saying she had omitted an experiment from the paper by mistake, according to documents Retraction Watch obtained through a public records request. But, she noted, “the data interpretation or overall conclusion from these data are not impacted by this error.”
Grumbach, who is interim chair of internal medicine at the Carver College of Medicine at the University of Iowa, said the repeated analysis had strengthened the paper’s conclusions and requested a corrigendum. The correction was published in November 2021.
But that didn’t make the problem go away. Within a month of the correction, another comment appeared on PubPeer claiming the revision didn’t explain the errors the first comment had flagged. Again, the commenter requested the authors share the raw data. This time the authors did not respond to the post.
Then, in January 2022, a sleuth contacted the editor-in-chief of FRBM, Kelvin J. A. Davies, claiming:
All figure in this paper have data and statistic method that is manipulated or falsified. Paper say “independent experiment” but honestly data not from independent experiment. Actually data show replicate reading of same sample from same experiment. This false statistic analysis make very small error bar so statistic significance is reached. If data points from independent experiment analyze then there is big variation and no statistic significance so major conclusions of paper not valid.
Check original data and see how statistic falsified to reach desired conclusion.
The email was appended with the comments from PubPeer.
A month later, the chair of the journal’s ethics committee, Giovanni E. Mann, wrote to Grumbach saying the committee had reviewed the case following the sleuth’s email. Mann noted the authors did not respond directly to the commenter’s request for raw data. He also flagged statistical concerns and added, “We do need to see the individual data points on which these figures and statistics were based.”
Grumbach said she would perform a comprehensive review and prepare a reply to the queries. In her email, she also wrote, “we have seen a very unusual increase in activities regarding the manuscripts from a select group of investigators in the Dept. of Internal Medicine.”
Grumbach did not respond to our queries about the “unusual increase in activities.” She is listed as an author on two other papers that were called out on PubPeer around the same time. One was issued an erratum and another an expression of concern, both related to the inclusion of duplicate data.
A spokesperson for Elsevier, the publisher of FRBM, said the editors were not aware of the PubPeer comments before the sleuth’s email, and made the decision to publish a correction “based on mistakes raised by the author.”
In April 2022, Grumbach officially requested to retract the paper, which has been cited 14 times, according to Clarivate’s Web of Science. She told Davies: “I analyzed these data and inaccurately pasted the data into the analysis software, leading to an incorrect grouping of the data. I apologize for the inconvenience. Please advise me on the next steps.”
The retraction notice, published online in May 2022, stated:
This article has been retracted at the request of the Authors and Editor-in-Chief.
Some of the data presented in Figure 6C, F and G of the above-titled paper were reported incorrectly in the published article. After being contacted by the Journal, the authors discovered an unintentional error in how the original data were analyzed that could affect the accuracy of the subsequent analysis. The raw data were incorrectly grouped in the analysis software, thereby altering the comparisons. Therefore the authors wish to retract the paper and will recollect and reanalyze the data appropriately. The authors apologize for any inconvenience.
The notice added that the authors would “recollect and reanalyze the data appropriately.”
Grumbach declined to be interviewed for this story but a spokesperson passed on a statement from her:
I take research integrity very seriously, which is why I asked for a retraction of this paper when I realized there were errors in the data and analysis after I had submitted an erratum.
Since its retraction, the paper has also been included among the references in another paper by the group, although that “manuscript was drafted and submitted for initial review before the retraction,” according to the university spokesperson.
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“a minor error in the degree of statistical significance.”
“the data interpretation or overall conclusion from these data are not impacted by this error.”
If there was no wrongdoing, why the coverup?
cover up is worse than the crime
why not be transparent and show all the data. this is what some top tier journals require. if you cant produce the data for the figures you shouldn’t be publishing.
If original data were analyzed in a faulty way for one figure, was the same statistical analysis used for the other figures in this paper and all other papers by this group? The scope of falsification may be much broader.
fishy stats leave bad smell
Looks like even the journal didn’t buy the lame excuse for the falsification. Evidence matters and the journal appears to have had it to shatter the false narrative.
NIH Office research integrity should investigate this falsification. I have sneaky suspicion not so “unintentional”
Missing original data on this one as well
https://pubpeer.com/publications/E5C8180E256D9238251ABBFC4B4EE4
same authors, no response
https://pubpeer.com/publications/5975D4A623EB91B731E64355E69427
https://pubpeer.com/publications/F26219800A5DD0700D1CBF0E19CD19
FRBM showed integrity by busting this fraud. Good to see someone stood up for scientific integrity
check the author paper
https://pubmed.ncbi.nlm.nih.gov/35899616/
Figure 6J, statistical analysis was done with n=2 !!!!!!!!
LOL!. playing statistical games to get “significance” is the MO
check the author paper
https://pubmed.ncbi.nlm.nih.gov/37404737/
Figure 4A is completely mislabeled and confusing specially Atorvastatin part. Also, the authors did not show any staining related to rotenone although they showed its quantification
The million-dollar question is whether the mistake lies with the first author or the corresponding author.
other million dollar question whether this is mistake?
Anyone is aware if the university of iowa took any action related to this topic?
NIH should investigate if any of the data related to the retracted paper was used in her grants.
Is the University of Iowa willing to investigate this issue?
of course no. it was just “minor error”
Do you have any evidence? And if yes, why don’t you share them here to let the audience know about what is going on at the University.
past is good indication of present and future
https://pubpeer.com/search?q=isabella+grumbach
You seem to have a very specific interest on this randomly retracted paper, Peterk.
I agree with fact-checker. It seems that majority of the comments are personal rather than professional. S