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. 2023 May 31:11:e15352.
doi: 10.7717/peerj.15352. eCollection 2023.

Tolerogenic dendritic cell reporting: Has a minimum information model made a difference?

Ayesha Sahar  1 , Ioana Nicorescu  2 , Gabrielle Barran  2 , Megan Paterson  2 , Catharien M U Hilkens  2 , Phillip Lord  1
Affiliations

Tolerogenic dendritic cell reporting: Has a minimum information model made a difference?

Ayesha Sahar et al. PeerJ. .

Abstract

Minimum information models are reporting frameworks that describe the essential information that needs to be provided in a publication, so that the work can be repeated or compared to other work. In 2016, Minimum Information about Tolerogenic Antigen-Presenting cells (MITAP) was created to standardize the reporting on tolerogenic antigen-presenting cells, including tolerogenic dendritic cells (tolDCs). tolDCs is a generic term for dendritic cells that have the ability to (re-)establish immune tolerance; they have been developed as a cell therapy for autoimmune diseases or for the prevention of transplant rejection. Because protocols to generate these therapeutic cells vary widely, MITAP was deemed to be a pivotal reporting tool by and for the tolDC community. In this paper, we explored the impact that MITAP has had on the tolDC field. We did this by examining a subset of the available literature on tolDCs. Our analysis shows that MITAP is used in only the minority of relevant papers (14%), but where it is used the amount of metadata available is slightly increased over where it is not. From this, we conclude that MITAP has been a partial success, but that much more needs to be done if standardized reporting is to become common within the discipline.

Keywords: Cell therapy; FAIR data; Metadata sharing; Minimum information model; Open data sharing; Reporting guidelines; Standardised data reporting; Tolerogenic dendritic cell.

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Conflict of interest statement

The authors declare there are no competing interests.

Figures

Figure 1
Figure 1. The flowchart describing the overall approach of this study.
The above diagram represents the overall approach of this paper. The process begins with specific SQL query based search on PubMed, with further refining the search by using most relevant keywords, a corpus of all the papers published on generating tolDCs is established. An unbiased random selection of 10 papers is performed from each category and these papers are further investigated by experts in the field of tolDCs.
Figure 2
Figure 2. Heatmap of comparison between MITAP compliant and non-MITAP compliant papers.
Green/tick boxes: category reported in the publication; yellow/empty boxes: category partially reported in the publication; red/cross boxes: category unreported in the publication. For clear representation, not all subsections are presented in this graph. A complete graph is provided in the Supplementary Data.
Figure 3
Figure 3. Comparison between MITAP and Non-MITAP papers for the total provided categories.
The chart represents comparison between MITAP and Non-MITAP papers for the total provided categories among each section (Sec-1, Sec-2, Sec-3, Sec-4) of the MITAP checklist. Here “total provided” includes the categories fully or partially reported. The further the line is from the center, the higher is the percentage.
Figure 4
Figure 4. The figure displays the increasing trend of introducing new MIMs in the biological field over the years.
Figure 5
Figure 5. Comparison of MITAP’s performance citation-wise with other related MIM published in the same year (2016).
Data Sources: Kumuthini et al. (2016), Sakurai et al. (2016), Scudamore et al. (2016), Struwe et al. (2016) and Merino-Martinez et al. (2016).
Figure 6
Figure 6. Comparison of MITAP’s performance citation-wise with other related MIMs.
See this image and copyright information in PMC

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Further Reading

    1. Anderson AE, Swan DJ, Wong OY, Buck M, Eltherington O, Harry RA, Patterson AM, Pratt AG, Reynolds G, Doran JP, Kirby JA. Tolerogenic dendritic cells generated with dexamethasone and vitamin D3 regulate rheumatoid arthritis CD4+ T cells partly via transforming growth factor- β 1. Clinical & Experimental Immunology. 2017;187(1):113–23. doi: 10.1111/cei.12870. - DOI - PMC - PubMed
    1. Bouchet-Delbos L, Even A, Varey E, Saïagh S, Bercegeay S, Braudeau C, Dréno B, Blancho G, Josien R, Cuturi MC, Moreau A. Preclinical assessment of autologous tolerogenic dendritic cells from end-stage renal disease patients. Transplantation. 2021;105(4):832–841. doi: 10.1097/tp.0000000000003315. - DOI - PubMed
    1. Dawicki W, Huang H, Ma Y, Town J, Zhang X, Rudulier CD, Gordon JR. CD40 signaling augments IL-10 expression and the tolerogenicity of IL-10-induced regulatory dendritic cells. PLOS ONE. 2021;16(4):e0248290. doi: 10.1371/journal.pone.0248290. - DOI - PMC - PubMed
    1. Eslami-kaliji F, Sarafbidabad M, Kiani-Esfahani A, Mirahmadi-Zare SZ, Dormiani K. 10-hydroxy-2-decenoic acid a bio-immunomodulator in tissue engineering; generates tolerogenic dendritic cells by blocking the toll-like receptor 4. Journal of Biomedical Materials Research Part A. 2021;109(9):1575–1587. doi: 10.1002/jbm.a.37152. - DOI - PubMed
    1. Funda DP, Goliáš J, Hudcovic T, Kozáková H, Špíšek R, Palová-Jelínková L. Antigen loading (eg. glutamic acid decarboxylase 65) of tolerogenic DCs (tolDCs) reduces their capacity to prevent diabetes in the non-obese diabetes (NOD)-severe combined immunodeficiency model of adoptive cotransfer of diabetes as well as in NOD mice. Frontiers in Immunology. 2018;9:290. doi: 10.3389/fimmu.2018.00290. - DOI - PMC - PubMed

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