Validity of an observational assessment tool for multifaceted evaluation of faecal condition

Ohno, Harumi; Murakami, Haruka; Tanisawa, Kumpei; Konishi, Kana; Miyachi, Motohiko

doi:10.1038/s41598-019-40178-5

Cited by 14 publications

(15 citation statements)

References 44 publications

(57 reference statements)

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“…The strength of this study is in nding a veri ed association between stool patterns and plasma and fecal fatty acids. The multifaceted, self-reported questionnaires used to assess the stool status had previously been validated against objective fecal characteristics as well [41]. In addition, we showed that twice self-reported stool status was highly reproducible and believe that it is unlikely for there to have been misclassi cation when done in this manner.…”

Section: Discussionmentioning

confidence: 75%

“…Stool status was assessed using the multifaced self-reported questionnaire called the "intestinal visible sheet", which covers the 5-stool status variables (frequency, volume, color, shape, and odor) and was previously developed and validated against objective measurements of fecal characteristics including fecal weight, moisture, hardness, and color in adults [41]. In the NEXIS cohort study, all participants were given similar stool questionnaires assessing both "habitual stool status" and "stool status when collecting fecal samples (excluding stool frequency)" at the same time.…”

Section: Evaluation Of Stool Statusmentioning

confidence: 99%

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Stool pattern is associated with prevalence of tumorigenic bacteria of the microbiota and plasma and fecal fatty acids in healthy Japanese adults

Watanabe¹,

Murakami²,

Ohno³

et al. 2020

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Background: Colibactin-producing Escherichia coli containing polyketide synthase (pks+ E. coli) has been shown involved in colorectal cancer (CRC) development through gut microbiota analysis in animal models. Stool status has been associated with potentially adverse gut microbiome profiles from fecal analysis in adults. We examined the association between stool patterns and the prevalence of pks+ E. coli isolated from microbiota in fecal samples of 224 healthy Japanese individuals. Results: Stool patterns were determined by factorial analysis using a previously validated questionnaire including stool frequency, volume, color, shape, and odor. Factor scores were classified by tertile. The prevalence of pks+ E. coli was determined using specific primers for pks+ E. coli in fecal samples. Plasma and fecal fatty acids were measured via gas chromatography-mass spectrometry. The prevalence of pks+ E. coli was 26.8%. Three stool patterns contributed 70.1 % of all patterns seen (factor 1: lower frequency, darker color, and softer shape, factor 2: higher volume and harder shape, and factor 3: darker color and stronger odor). Multivariable adjusted odds ratios (95% confidence intervals) of the prevalence of pks+ E. coli for the highest versus the lowest third of the factor 1 score was 3.16 (1.38 to 7.24; P for trend = 0.006). This stool pattern correlated with some plasma and fecal fatty acids. No other stool patterns were significant. Conclusions: These results suggest that stool pattern may be useful for evaluating gut microbiota, including the presence of tumorigenic bacteria and fecal fatty acids. It may provide useful insight for effective early discovery strategies for CRC.

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Section: Discussionmentioning

confidence: 75%

Section: Evaluation Of Stool Statusmentioning

confidence: 99%

Stool pattern is associated with prevalence of tumorigenic bacteria of the microbiota and plasma and fecal fatty acids in healthy Japanese adults

Watanabe¹,

Murakami²,

Ohno³

et al. 2020

Preprint

Self Cite

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“…The strength of this study is in finding a verified association between stool patterns and plasma and fecal fatty acids. The multifaceted, self-reported questionnaires used for stool status assessment had previously been validated against objective fecal characteristics as well [ 42 ]. In addition, we showed that twice self-reported stool status was highly reproducible and believe that it is unlikely for there to have been misclassification when done in this manner.…”

Section: Discussionmentioning

confidence: 99%

“…Stool status was assessed using the multifaced self-reported questionnaire called the “intestinal visible sheet”, which covers the 5-stool status variables (frequency, volume, color, shape, and odor) and was previously developed and validated against objective measurements of fecal characteristics including fecal weight, moisture, hardness, and color in adults [ 42 ]. In the NEXIS cohort study, all participants were given similar stool questionnaires assessing both “habitual stool status” and “stool status when collecting fecal samples (excluding stool frequency)” at the same time.…”

Section: Methodsmentioning

confidence: 99%

Stool pattern is associated with not only the prevalence of tumorigenic bacteria isolated from fecal matter but also plasma and fecal fatty acids in healthy Japanese adults

et al. 2021

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Background Colibactin-producing Escherichia coli containing polyketide synthase (pks+E. coli) has been shown to be involved in colorectal cancer (CRC) development through gut microbiota analysis in animal models. Stool status has been associated with potentially adverse gut microbiome profiles from fecal analysis in adults. We examined the association between stool patterns and the prevalence of pks+E. coli isolated from microbiota in fecal samples of 224 healthy Japanese individuals. Results Stool patterns were determined through factorial analysis using a previously validated questionnaire that included stool frequency, volume, color, shape, and odor. Factor scores were classified into tertiles. The prevalence of pks+E. coli was determined by using specific primers for pks+E. coli in fecal samples. Plasma and fecal fatty acids were measured via gas chromatography-mass spectrometry. The prevalence of pks+E. coli was 26.8%. Three stool patterns identified by factorial analysis accounted for 70.1% of all patterns seen (factor 1: lower frequency, darker color, and harder shape; factor 2: higher volume and softer shape; and factor 3: darker color and stronger odor). Multivariable-adjusted odds ratios (95% confidence intervals) of the prevalence of pks+E. coli for the highest versus the lowest third of the factor 1 score was 3.16 (1.38 to 7.24; P for trend = 0.006). This stool pattern exhibited a significant positive correlation with fecal isobutyrate, isovalerate, valerate, and hexanoate but showed a significant negative correlation with plasma eicosenoic acid and α-linoleic acid, as well as fecal propionate and succinate. No other stool patterns were significant. Conclusions These results suggest that stool patterns may be useful in the evaluation of the presence of tumorigenic bacteria and fecal fatty acids through self-monitoring of stool status without the requirement for specialist technology or skill. Furthermore, it may provide valuable insight about effective strategies for the early discovery of CRC.

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“…All participants answered a questionnaire on anthropometric data, medical history, fecal characteristics, dietary habits, physical activity, and sleep; a total of 76 items common to two cohorts were extracted as variables (Table S1). Fecal volume, form and color were evaluated by using our assessment card tool for NIBIOHN cohort as described previously [35] with slight modi cations related to volume and color for MORINAGA cohort. To assess daily dietary intake, we asked subjects to answer a different questionnaire, the Brief Self-Administered Diet History Questionnaire (BDHQ), to estimate the intake volume of 58 food and beverage items consumed in the preceding month [36] (Table S1).…”

Section: Questionnaire About Covariatesmentioning

confidence: 99%

Comprehensive Analysis of Gut Microbiota of a Healthy Population and Covariates Affecting Microbial Variation in Two Large Japanese Cohorts

Park

Kato

Murakami

et al. 2020

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Background: Inter-individual variations in gut microbiota composition are observed even among healthy populations. As gut microbiota in Japanese populations exhibit a unique composition compared to others, it is informative to conduct large-scale Japanese cohort studies for a comprehensive understanding of the association between healthy gut microbiota and host status. The aim of the present study was to elucidate the integrated and non-redundant factors associated with gut microbiota composition within the Japanese population by 16S rRNA sequencing of fecal samples and questionnaire-based covariate analysis. Results: A total of 1,596 healthy Japanese individuals participated in this study via two independent cohorts, NIBIOHN cohort (n = 954) and MORINAGA cohort (n = 642). Gut microbiota composition was described and the interaction of these microorganisms with metadata parameters such as anthropometric measurements, bowel habits, medical history, and lifestyle were obtained. Thirteen genera, including Alistipes, Anaerostipes, Bacteroides, Bifidobacterium, Blautia, Eubacterium halli group, Faecalibacterium, Fusicatenibacter, Lachnoclostidium, Parabacteroides, Prevotella_9, Roseburia and Subdoligranurum were predominant among the two cohorts. On the basis of univariate analysis for overall microbiome variation, 18 matching variables exhibited significant association in both cohorts. A stepwise redundancy analysis revealed that there were four common covariates, Bristol Stool Scale (BSS) scores, gender, age, and defecation frequency, displaying non-redundant association with gut microbial variance.Conclusions: We conducted a comprehensive analysis of gut microbiota in healthy Japanese individuals, based on two independent cohorts, and obtained reliable evidence that questionnaire-based covariates such as frequency of bowel movement and dietary intake affects the microbial composition of the gut. To our knowledge, this was the first study to investigate integrated and non-redundant factors associated with gut microbiota among Japanese populations.

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Validity of an observational assessment tool for multifaceted evaluation of faecal condition

Cited by 14 publications

References 44 publications

Stool pattern is associated with prevalence of tumorigenic bacteria of the microbiota and plasma and fecal fatty acids in healthy Japanese adults

Stool pattern is associated with prevalence of tumorigenic bacteria of the microbiota and plasma and fecal fatty acids in healthy Japanese adults

Stool pattern is associated with not only the prevalence of tumorigenic bacteria isolated from fecal matter but also plasma and fecal fatty acids in healthy Japanese adults

Comprehensive Analysis of Gut Microbiota of a Healthy Population and Covariates Affecting Microbial Variation in Two Large Japanese Cohorts

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