Correspondence
My laboratory members and I were excited to read a recent review in F1000Research1, entitled “Aging and energetics’ ‘Top 40’ future research opportunities 2010–2013”. The review discusses research opportunities in 10 fields at the intersection of aging and metabolism. The authors identified ten research categories through a Scopus search for the ten most-cited papers in each of the years 2010 through 2013, for a total of 40 papers. However, upon examining the list of these papers, I was surprised to notice that a significant number of these articles were reviews, and that I recognized very few of the papers. I was also struck by the relatively low number of citations each paper had gathered, as well as by the almost complete absence of high-impact journals such as Cell, Nature, Science and PNAS from the search results.
Helpfully, the authors included their Scopus search terms in the methods section of their review, and I was easily able to replicate the results of their search. Upon consideration of the search terminology, I realized the authors had limited their results to papers in which “aging”, “lifespan” and other key search terms relating to aging and metabolism appeared in the title. I repeated their search with one important difference: I searched for keywords and did not limit my search to the title field (see Methods). My list of the 10 most cited articles from each year (2010–2013) at the intersection of aging and metabolism/energetics is given in Appendix A.
The list I generated is almost entirely different from the authors’ results, including only 3 of the 40 papers identified by Allison and colleagues. My search identified many more high impact papers (based on citation count) and a greater proportion, 18 out of 41 papers, were published by the high impact journals Cell, Nature, Science and PNAS. Whereas Allison et al. identified Morselli et al.2 as the original research manuscript in 2010 with the most citations (99), my methodology identified 8 papers from 2010 with a higher number of citations, the highest of which, Ng et al.3, had 298 citations.
I performed a rapid scoring of my resulting list against the thematic categories identified by Allison and colleagues. Interestingly, “nutrient effects beyond energy” rose to the top of this list, due in part to my inclusion of metformin-related papers in this category. A new thematic area, Diabetes/insulin resistance, was tied for second place with Mitochondria, reactive oxygen species, and cellular energetics. This was followed by another new thematic area, “Sirtuins”, tied with “Calorie restriction”. The Microbiome was also an important new thematic area. Three categories identified by Allison et al., “use and effects of mesenchymal stem cells (MSCs)”, “accretion and effects of body fat”, and “the aging heart”, were entirely absent from my newly generated list.
In conclusion, a minor change in search methodology resulted in the retrieval of a very different list of papers than that identified by Alison and colleagues. “Calorie restriction”, “nutrient effects beyond energy”, “mTOR”, and “autophagy” are still clearly important areas for aging research. However, Diabetes/insulin resistance, Microbiome, and Sirtuins should be included in this list. The narrow search strategy employed by Allison et al. missed these important thematic areas.
Comments on this article Comments (0)