2.1 Literature Review
The literature review was conducted in the PubMed, EMBASE, Scopus, and
Web of Science (Web of Knowledge), and Google Scholar databases from Jan
2015 through April 2020. The first phase established an investigation
according to the features and strategies of each electronic database
(Supplementary Material S2 - Table 3). All the researchers conducted
independent searches to define MeSH (Medical Subject Headings) terms and
search strategies, which were validated by three experts (IGD, IFK,
EMD). The researchers first screened the titles and then the abstracts
(BMF; GOR; ETBM; GNV). To retrieve the publications in PubMed, The MeSH
terms were organized into four blocks: Block 1 (markers of mediators of
inflammation): ”Interleukin-1” OR ”Interleukin-6” OR ”Inflammation” OR
”Nitric Oxide” OR ”Nitric Oxide Synthase Type II” OR ”Nitrites” OR
”Tumor Necrosis Factor-alpha”; AND Block 2 (cells): ”Cells, Cultured” OR
”Macrophages” OR ”Macrophages, Peritoneal” OR ”Mice”; AND Block 3
(lipopolysaccharide): ”Endotoxins”; AND Block 4 (anti-inflammatory
agents): ”Anti-Inflammatory Agents” OR ”Anti-Inflammatory Agents,
Non-Steroidal” OR ”Anti-Inflammatory Agents” [Pharmacological
Action] OR ”Anti-Inflammatory Agents, Non-Steroidal”
[Pharmacological Action]. In the other databases, we searched for
the terms that would retrieve potential studies, and used the topic
strategy for the Web of Science (topic), Scopus
(title/keyword/abstract), and Embase (Emtree terms) databases, applying
filters for language (English), time period and article. In Google
Scholar, we used the following strategy: ”inflammation” OR ”cytokines”
AND “RAW 264.7” AND ”lipopolysaccharide” AND ”Anti-inflammatory
agents” (PDF file and period 2015-2020). The references retrieved from
the searches were organized in EndNote Reference Manager and Rayyan QCRI
web and mobile app.