I’ve written some AI software to scan candidate PubMed articles for my sit as well as future posts. The item below is a IMHO nicely constructed study with a key item identified. I’ve saw similar in other studies, but this was the cleanest.

RESULTS:

Among 1119 patients with UTI, 124 patients with diabetes were matched with 246 patients without diabetes. In patients with diabetes, the bacteria identified were: Escherichia coli (71%), Klebsiella (6%), Staphylococcus (5%), Enterococcus (4%), Proteus (2%) and Pseudomonas (1%); these findings were similar to those found in patients without diabetes. Resistances to ofloxacin and cefixim regardless of the bacteria were increased in patients with diabetes after matching on age, sex and history of UTI (respectively: OR=2.09; p=0.04 and OR=3.67; p=0.05). Regarding E. coli resistance, there was no difference whatever the antibiotic.

Bacterial resistance in urinary tract infections in patients with diabetes matched with patients without diabetes. [2016]

This may be the key to many autoimmune conditions — the bacteria sharing antibiotic resistance across multiple bacteria. This leads directly to the classic Rickettsia protocol (Cecile Jadin MD advocates for CFS/ME) of rotating antibiotic families over several months to overcome this challenge.