Mice, first of all. To me thatâs a confounding factor, you can only extrapolate to humans to a degree.
There is a long-standing epidemiological link between the consumption of red meat (beef, pork, and lamb) and the incidence of carcinomas, atherosclerosis, type 2 diabetes, and all-cause mortality (1âââ4). Although such diseases have multifactorial origins, all are aggravated by chronic inflammation (5, 6). Red meat-rich diets also correlate with circulating markers of inflammation and endothelial dysfunction (7). Here, we focus on red meat-related risk of carcinomas (further citations regarding the association are provided in Table S1).
Uh huh. Zero of these studies referenced were done on carnivorous humans. Typically red meat eaters are the type that ignore doctorâs advice. Theyâre eating more breads, more processed foods, more sweets, more plant oils than a healthy person. All of those things cause systemic inflammation, which this study claims is one of the culprits.
Eat an all meat diet for 6 months and have your inflammation tested. Proof may be in the pudding.
Cmah â/â mice were fed Neu5Gc-rich or control diets for 12 wk and then injected with varying amounts of control or immune sera calculated to achieve levels of anti-Neu5Gc antibodies in the range found in humans (34). As shown in Fig. 2 A , evidence of systemic inflammation (elevated levels of peritoneal fluid IL-6 and serum acute-phase proteins, serum amyloid A protein, and haptoglobin) was seen only with the combination of dietary Neu5Gc plus infusion of anti-Neu5Gc antisera, and not with control combinations. Furthermore, the levels of inflammatory markers showed a dose dependency with the amount of antibody injected (Fig. 2 B ). Similar studies were not done in Cmah +/+ mice, because high levels of endogenous Neu5Gc would neutralize any transferred antibodies (24).
Very unnatural methods being used to try to simulate a result. This is called fudging the numbers. Also known as âbullshitâ.
At the end of the day, these epidemiological mouse studies have very little value. Too much has to be adjusted for, or too many assumption have to be made. They have to shape the study to try to get the result they are trying to achieve.
All in all, I wouldnât sweat it, itâs meaningless at its core.