I’ve recently added computations for Methane and Hydrogen using KEGG data to Microbiome Prescription. Checking the contributed symptoms, I had over 120 samples with SIBO indicated. So it was time to test the hypothesis.

Charts

What about the old Methane?

The old computation was done on adhoc gathered associations from the literature. It also did not show any patterns.

Bottom Line

With the obvious path being unsuccessful, then time to examine where we did find associations.

ProductName	Pattern
(4R,5S)-4,5,6-trihydroxy-2,3-dioxohexanoate	Between 33%ile to 66%ile
cob(II)yrinate a,c diamide	Between 66%ile to 100%ile
D-tagatose	Between 0%ile to 33%ile
undecaprenyl phosphate	Between 0%ile to 33%ile

EndProduct	Pattern
Vitamin B9 (Folic Acid/Folate)	Between 66%ile to 100%ile
Lactic acid	Between 0%ile to 33%ile
2-Butanone	Between 66%ile to 100%ile
Hydrogen cyanide	Between 66%ile to 100%ile
Methyl thiocyanide	Between 66%ile to 100%ile
Propionate	Between 66%ile to 100%ile
Vitamin K	Between 66%ile to 100%ile
Vitamin B7 (biotin)	Between 66%ile to 100%ile
Sialic acid	Between 66%ile to 100%ile
Norepinephrine	Between 66%ile to 100%ile

EnzymeName	Pattern
succinyl-CoA:acetate CoA-transferase	Between 33%ile to 66%ile
phosphoenolpyruvate carboxykinase (GTP)	Between 33%ile to 66%ile

Definition	Pattern
Pentose phosphate pathway (Pentose phosphate cycle)	Between 75%ile to 100%ile
Pentose phosphate pathway, oxidative phase, glucose 6P => ribulose 5P	Between 75%ile to 100%ile
Pentose phosphate pathway, non-oxidative phase, fructose 6P => ribose 5P	Between 75%ile to 100%ile
Serine biosynthesis, glycerate-3P => serine	Between 75%ile to 100%ile
Histidine degradation, histidine => N-formiminoglutamate => glutamate	Between 75%ile to 100%ile
Riboflavin biosynthesis, plants and bacteria, GTP => riboflavin/FMN/FAD	Between 75%ile to 100%ile
Tetrahydrofolate biosynthesis, GTP => THF	Between 75%ile to 100%ile
CAM (Crassulacean acid metabolism), light	Between 75%ile to 100%ile
Lysine biosynthesis, DAP dehydrogenase pathway, aspartate => lysine	Between 75%ile to 100%ile

tax_name	tax_rank	Pattern
Blautia hansenii	species	Between 33%ile to 66%ile
Filifactor alocis	species	Between 66%ile to 100%ile
Bacteroidia	class	Between 66%ile to 100%ile
Bacteroides gallinarum	species	Between 66%ile to 100%ile

Last, we look at what studies reported

Tax Rank	Tax Name	Shift	Distribution	Citation Link
genus	Enterococcus (NCBI:1350 )	High	Distribution	📚 PubMed
genus	Klebsiella (NCBI:570 )	High	Distribution	📚 PubMed
genus	Prevotella (NCBI:838 )	High	Distribution	📚 PubMed
genus	Salmonella (NCBI:590 )	High	Distribution	📚 PubMed
genus	Staphylococcus (NCBI:1279 )	High	Distribution	📚 PubMed
genus	Streptococcus (NCBI:1301 )	High	Distribution	📚 PubMed
phylum	Firmicutes (NCBI:1239 )	Low	Distribution	📚 PubMed
species	Acinetobacter baumannii (NCBI:470 )	High	Distribution	📚 PubMed
species	Bacteroides fragilis (NCBI:573 )	High	Distribution	📚 PubMed
species	Bifidobacterium longum (NCBI:216816 )	Low	Distribution	📚 PubMed
species	Enterococcus faecalis (NCBI:1351 )	High	Distribution	📚 PubMed
species	Enterococcus faecalis (NCBI:1351 )	Low	Distribution	📚 PubMed
species	Enterococcus faecium (NCBI:1352 )	High	Distribution	📚 PubMed
species	Escherichia coli (NCBI:562 )	High	Distribution	📚 PubMed
species	Escherichia coli (NCBI:562 )	High	Distribution	📚 PubMed
species	Methanobrevibacter smithii (NCBI:2173 )	High	Distribution	📚 PubMed
species	Methanobrevibacter smithii (NCBI:2173 )	High	Distribution	📚 PubMed
species	Pseudomonas aeruginosa (NCBI:287 )	High	Distribution	📚 PubMed

Looking at the “usual suspect” for SIBO, Methanobrevibacter smithii, a methane producer, we found only 23 samples with any (and all of the labs associated with these samples reports this bacteria so over 100 (80%) of the people reporting SIBO had none appearing)

Tentatively conclusion, SIBO does not leave any clear tracks in a 16s Sample.