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. 2022 Sep 28;72(1):180–191. doi: 10.1136/gutjnl-2022-328166

Table 1.

Methods available for gut transit measurements and examples of their application in human gut microbiome research

Method Region Subjects Gut microbiome and/or transit time-related findings References
Direct transit time measures Radio-opaque markers CTT
WGTT
48 healthy subjects Distal CTT was associated with increased microbial α-diversity, rectosigmoid CTT was negatively associated with faecal SCFA and distal CTT was negatively associated with plasma acetate 18
98 subjects CTT positively associated with microbial community structure, microbial richness and microbial protein catabolism 10
48 healthy subjects with slow WGTT* RCT with arabinoxylan-oligosaccharide increased faecal Bifidobacterium and softened stool consistency without changing the WGTT 46
14 healthy subjects† WGTT positively correlated with urinary sulphate, faecal methanogens and negatively with total faecal SCFA, sulphate and bile salts 134
Scintigraphy WGTT
GET
SITT
CTT
50 healthy and constipated patients Colonic mucosal microbiota was not associated with CTT and was significantly different between the two groups, faecal microbiota was associated with CTT and breath methane 88
36 healthy and 20 patients with liver cirrhosis SITT was negatively correlated with B:F ratio and microbial dysbiosis index 215
SmartPill WGTT
GET
SITT
CTT
11 obese and 11 normal weight subjects Shorter SITT was associated with Bact2-enterotype, longer CTT was associated with Rum-enterotype 12
33 healthy and 114 IBS-C patients Colonic intraluminal pH levels were significantly lower in IBS patients compared with HC, and total faecal SCFA levels correlated negatively with CTT 216
19 healthy and
9 constipated subjects
Rectosigmoid pH negatively correlated with Bifidobacterium spp and positively with Coprococcus spp 108
Gas-sensing capsules WGTT
GET
SITT
CTT
4 healthy volunteers SITT was slower with a diet high in fermentable fibre (~34 g/day) compared with a diet low in fermentable fibre (~22 g/day) 217
Blue dye WGTT 1102 subjects Gut microbiome composition predicted WGTT, longer WGTT was linked with Akkermansia muciniphila, Bacteroides and Alistipes spp. 11
Sweet corn WGTT 31 healthy subjects WGTT positively correlated with faecal BCFA and Coprococcus 107
Indirect transit time measures Stool frequency WGTT 69 subjects B:F ratio and Bacteroides:unclassified_Ruminococcacea positively associated with stool frequency 218
60 healthy subjects B:F ratio was higher in a group with stool frequency of ≤2 times/week compared with one time/day or one time/2 day and ≥2–3 times/day 219
Stool consistency (BSS) CTT 53 healthy subjects Stool consistency was positively correlated with species richness, Akkermansia and Methanobrevibacter abundances, and negatively associated with the B:F ratio, 17
1126 subjects BSS was associated with the B:F ratio, high BSS score positively correlated with F. prausnitzii 220
Faecal water (stool moisture) CTT 31 healthy subjects Faecal water positively correlated with WGTT 107
40 subjects Stool moisture accounted for 4.3% of interindividual microbiota variation (absolute abundances) 79
12 IBS patients and 12 controls Association between stool consistency and microbial community structure/microbial richness 31
Stool crosslinking CTT 170 samples Faecal acetate and methionine were predictive of stool consistency 221
Breath test Oro-caecal 14 healthy subjects Oro-caecal transit time was positively correlated with WGTT 134

*Transit time also measured by BSS, faecal water content and breath test.

†Transit time also measured by the breath test.

BCFA, branched-chain fatty acids; B:F, Bacteroidetes:Firmicutes; BSS, Bristol Stool Scale; CTT, colonic transit time; GET, gastric emptying time; IBS, irritable bowel syndrome; RCT, randomised controlled trial; SCFA, short-chain fatty acids; SITT, small bowel transit time; WGTT, whole gut transit time.