Chasing the Fat Demon: Fat Chance, Buddy?
- 1 Yale University Prevention Research Center, United States
- 2 Fraunhofer-Institute for Applied Polymer Research (IAP), Germany
- 3 Editorial Office, The American Journal of Immunology, United States
Science is an interesting profession. At times, one could get caught up in his or her own world of thoughts, perception, far away from reality, sometimes referred to as the proverbial ivory tower (Lederberg, 1972). Science for the sake of science is, per se, not without merit, with our fragmented understanding of a given issue providing ample justification for experimentation to provide rational basis for a more complete explication, even though one might not avoid the issue of clearly usage of terms within their framework of credible means, such as reasonable interpretation, actual knowledge, data and context, leaving emphasis on the proper context and validation of data as impetus for this editorial for further consideration (Dreyer et al., 2000; Schmidt and Brown, 2015; Storsberg and Schmidt, 2015; Brown et al., 2016).
In the context of data, we wished to illuminate whether metabolic syndrome is caused by aberrations in immune cell signaling, see, for instance Purkayastha and Cai (2013) for further reading on recent progress on exploring the issue surrounding abnormalities in neuro-immunology and metabolic syndrome. For the sake of a convenient argument and not to select out this particular study for any other motive at all than sheer convenience, we, first, wish to direct the reader's attention to a perfectly sound report, where in both, mice and patients, adipose-associated CD11c+CD1c+ dendritic cells are used to correlate their immunobiology with obesity-associated insulin resistance (Bertola et al., 2012). A subsequent study, argued with experimental data beyond a reasonable doubt and equally sound, Zlotnikov-Klionsky et al. (2015) refined the description of underlying subpopulations, termed perforin-positive dendritic cells and found that perforin-positive dendritic cells, from a Lin-Sca1+c Kit+ hematopoietic source, transplanted into CD4 or CD8-depleted Itgax-DTA-Prf1-/- and WT-Prf1-/- chimeras yielded phenomena related to metabolic syndrome and obesity in comparison to their respective controls.
Still one cannot avoid facing the lingering issue of whether the populations described by Bertola et al. (2012) are truly comparable with the subpopulation described by Zlotnikov-Klionsky et al. (2015), let alone the unresolved issue of the suitability of murine study models of immunity, see Seok et al. (2013; Takao and Miyakawa, 2015) for excellent demonstrations of both viewpoints, the problem of whether using those perforin-positive cells in mice or, if so, in man, as therapeutic or diagnostic tool, can be regarded as cause of metabolic syndrome or a result of a long list of events leading to it. In other words and leaning on a recent review from one of the pioneers in cancer research (Knudson, 2000), are we sure which fat demon to hunt?
Are we even sure that we need to hunt one demon, or is there a whole family of them (Nawaz et al., 2001; Shuval et al., 2017)? One could paraphrase the above-stated problem more nuanced in a series of topics, such as the extent to which obesity, per se, influences immunity- as opposed to a set of factors that influence both immunity and weight (McLaughlin et al., 2017); whether obesity, in turn, is associated with the factors the cause obesity, e.g., dietary, activity and sleep pattern, psychological stress and hormonal balance, to name a few (Girod and Brotman, 2003) and, associations between weight status and the status of the microbiome (Turnbaugh et al., 2006). In a sense, our fragmented understanding of the issue surrounding the extent to which obesity, per se, influences immunity- as opposed to a set of factors that influence both immunity and weight, per definitionem, determines therapeutic approaches because we simply don't know what we don't know (Pawson et al., 2011).
Inflammation, impaired immune system function and perturbations of the microbiome could be both cause and effect of obesity. Dietary patterns conducive to the propagation of chronic disease via inflammation and other pathways of pathogenesis, for example, are generally conducive to obesity as well (Katz and Meller, 2014). So, too, are other aspects of lifestyle (Sagner et al., 2014). Advances in our understanding of mechanistic pathways need not preclude concomitant attention to established causes.
With our fragmented understanding of the molecular pathways involved in the pathogenesis and progression of metabolic syndrome and, ultimately, obesity, substantial precedent, such as Bhurosy and Jeewon (2014; Herrera et al., 2011) and the above, does not, in and of themselves, mount sufficient rationale to preventing one from considering what is known about the aspect of changing addictive behavior (Prochaska et al., 1992): Such processes are seldom linear and benefit greatly from the creation of positive enforcement loops. All this hinges on the motivation to open the hunting season for the fat demon, even if chances of success may be slim.
Christian Schmidt: Wrote the first draft of the paper.
David L. Katz, Joachim Storsberg: Provided critical input and assisted in revising and improving the paper.
David L. Katz, Joachim Storsberg, Christian Schmidt: Report and certify no conflicts of interest with regard to this paper, including, but not limited to participation in speakers' bureaus, honoraria, employment, equity interest, nor non-financial interest in the topics or evidence presented in this paper.
Christian Schmidt: Is a member of the Editorial Board of The American Journal of Immunology, is waived from the Article Processing fee for this contribution and receives no remuneration for the editorial work.
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Copyright: © 2017 David L. Katz, Joachim Storsberg and Christian Schmidt. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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