ConstipationNCT04309019
Constipation, Gut Microbiome, and Microbial-derived Uremic Toxins From the Gut Microbiota in HD Patients
An observational study of Constipation and Inflammation, run by Tungs' Taichung Metroharbour Hospital at 1 site in Taiwan.
Trial summary
Chronic constipation is a prevalent, multifactorial gastrointestinal disorder, and its etiology and pathophysiology remain poorly understood. Recently studies using 16S rDNA-based microbiota profiling have demonstrated dysbiosis of gut microbiota in chronic constipation. Read more about this study
- Who is it for?
- Ages 20 to 90 years
- Conditions the study is for
- Constipation, Inflammation
- How many people
- 61 participants
- Where
- 1 siteTaiwan
- Study dates
- 10 Mar 2020to 31 Dec 2020
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 20 to 90 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: patients have to be at least 20-years-old and and undergoing hemodialysis (HD) for at least 6 months.
Who may be able to join
- Patients over age 20 years old
- Undergoing hemodialysis (HD) for at least 6 months
Who cannot join
- Inflammatory diseases
- Cancer
- AIDS
- Autoimmune disease
- Use of a central catheter for hemodialysis access
- Amputated limbs
Show all 10Show fewer
- Pregnancy
- Using catabolic drugs
- Using antioxidant vitamin supplements
- Using symbiotic and antibiotics
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Constipation, Gut Microbiome, and Microbial-derived Uremic Toxins From the Gut Microbiota in HD Patients Is There a Relationship Between Them ?
Chronic constipation is a prevalent, multifactorial gastrointestinal disorder, and its etiology and pathophysiology remain poorly understood. Recently studies using 16S rDNA-based microbiota profiling have demonstrated dysbiosis of gut microbiota in chronic constipation. In addition, alterations of fecal flora of the a group of severely constipated patients had been reported. Constipation, an indicator of gut dysbiosis in dialysis patients, may also pose a greater burden in dialysis patients. Some recent findings highlight the plausible link between the gut and the kidneys and provide additional insights into the pathogenesis of kidney disease progression and development of cardiovascular disease. Yet, the constipation in dialysis patients is usually ignored and not even draw the attention of dialysis physician as an ominous risk factor of constipated dialysis patients. In view of multiple factors link the gut and cardiorenal pathophysiology, and the scarcity of literature on this issue, the aim of this study is want to know if constipation can result in any changes to the intestinal microbiota and is it associated with inflammation, atherogenic profile and levels of microbial derived uremic toxins. Here, the investigators use both self-reported Bristol stool form scale (BSFS) scores and Roman IV criteria to diagnose constipation and 16S rDNA Illumina amplicon profiles of faecal samples of 90 dialysis patients to assess potential associations between microbiota composition and constipation. The relationship between uremic toxins and inflammation will also be explored in the dialysis suffering from constipation.
Read the detailed description
Study Design and Population
Patients and Methods
This study will include 90 dialysis patients. Patients over age 20 years old and undergoing HD for at least 6 months will be enrolled. Patients with inflammatory diseases, cancer, AIDS, autoimmune disease, use of a central catheter for hemodialysis access, amputated limbs, pregnancy, and patients using catabolic drugs, antioxidant vitamin supplements pre, pro and symbiotic and antibiotics in the last 3 months before the start of this study were excluded. Dialysis duration was 4 hours per session, three times per week, with a blood flow >250 mL/min and a dialysate flow of 500 mL/min.
Analytic Procedures and Sample Processing
Blood samples will be drawn from each subject in the morning, after overnight fasting (for HD patients before a regular HD session). Plasma was separated (15 minutes, 30003 g, 4 C) and stored in -80 C until analysis.
Total concentrations of uremic toxins indoxyl sulfate(IS), p-cresol sulfate(PCS), and indoleacetic acid( IAA) are quantified by high-performance liquid chromatography (HPLC) with fluorescent detection.. Briefly, for binding competition, 200μl serum to which we added 20μl 0.50mM 1-naphthalenesulfonic acid (internal standard) was vortex-mixed with 250μl 0.24M sodium octanoate (binding competitor).After incubation at room temperature for 5min, we added 2ml cold acetone to precipitate proteins. Following vortex-mixing and centrifuging at 4 ◦C, 1860×g for 20 min, the supernatant was transferred to 12mm×100mm, GL 14 glass test tubes and 2ml dichloromethane was added. After vortex-mixing and centrifuging at 4 ◦C, 1860×g for 10min, 200μl of the upper layer was transferred to glass autosampler vials, followed by addition of 20μl 1M HCl and 15μl was injected onto the HPLC. The HPLC analysis was performed on an Agilent 1100 series LC (Santa Clara, CA),and Agilent ChemStations software were used for the chromatographic analysis. The separation was carried out on a ZORBAX SB-C18 Solv Saver Plus HPLC column (5 μm, 3.0 mm×150 mm).at a flow rate of 0.6 ml/min. Mobile phase A is 0.2% trifluoroacetic acid in Milli-Q water and mobile phase B is 0.2% trifluoroacetic acid in acetonitrile. The analytical method consists of an isocratic run with 92% mobile phase A for 23 min.. Each analytical run was followed by a 1.3 min washout gradient to 100% B. Column temperature was 25 ◦C, and autosampler tray temperature was 6 ◦C. We quantified the analytes by using the analyte to standard peak area ratio on a Agilent 1100 High Performance Fluorescence detector G1321A and Agilent 1100 Series UV-Visible detectors G1314A. Detector settings were λex 260 nm/λem288nm for p-cresyl sulfate and λex 280 nm/λem 390nm for indoxyl sulfate and IAA.
Total antioxidant activity (TAA) is measured in plasma using the Antioxidant Status Assay Kit (Calbiochem, Darmstadt, Germany) according to the manufacturer's protocol. The assay is defined as the ability of antioxidants in the plasma samples to prevent oxidation of 2,2'-azino-bis-(3-ethylbenz-thiazoline-6-sulfonic acid) (ABTS) by metmyoglobin. The amount of ABTS+ produced is monitored by reading the absorbance at 600 nm. The inter- and intra-assay coefficients of variation are 5.0% and 4.3%, respectively.
High-sensitivity protein C reactive (CRP), interleukin- 6 (IL-6), MCP-1, and Calprotectin were analyzed by immunoenzymatic assay (ELISA; R\&D systems ). Routine laboratory parameters were measured by standard techniques.
Laboratory measurements
Total Antioxidant Status (TAS) kits purchased from Randox Laboratories Ltd. (Crumlin, UK) are applied for the assessment of the overall serum antioxidant capacity. It is based on the suppression of the formation of 2,2'-azinobis (3-ethylbenzothiazoline-6-sulfonate; ABTS*+), mediated mainly by the subsequent antioxidants: uric acid, protein thiol groups, ascorbic acid, and tocopherol. The plasma levels of MCP-1, IL-6, CRP, IL-17A and calprotectin are tested by commercially available human ELISA kit respectively, according to the manufacturer's instruction.
Stool DNA Isolation and 16S rDNA Gene Amplicon Sequencing
QI Aamp DNA Stool Mini Kit (51504; Qiagen, Germantown, MD) is used to extract gDNA from freshly collected feces samples from both mouse strains. The 16S rDNA gene variable regions V3-V6 are amplified by PCR using fecal gDNA. PCR comprised two consecutive steps. Primers targeting the 16S rDNA gene (italic) and specific primers carrying the 59M13/rM13 adapters (bold) 338FM13 (GTAAACGACGGCCAGTGCTCCTACGGGWGGCAGCAGT) and 1044R-rM13 (GGAAACAGCTATGACCATGACTACGCGCTGACGACARCCATG) are used to amplify the V3-V6 region of the bacterial 16S rDNA gene. After purification of PCR products using the NucleoSpin Gel and PCR Clean-Up Kit per the manufacturer's instructions, concentration and quality of the purified PCR products are assessed. To barcode each PCR product with a specific MID sequence and add the 454-specific Lib-L tag, a second PCR was performed using M13/rM13-specific primers containing the 454-specific Lib-L primers (underlined) A-M13 (CCATCTCATCCCTGCGTGTCTCCGACTCAG / MIDsequence/GTAAACGACGGCCAGG) and B-rM13 (CCTATCCCCTGTGTGCCTTGGCAGTCTCAGGGAAACAGCTATGA CCATGA).
Amplicons of the second PCR were pooled and purified by ethanol precipitation. Purified PCR products are run on a 0.8% agarose gel, bands corresponding to the barcoded 16S rDNA gene sequences are excised, and DNA was extracted using the NucleoSpin Gel and PCR Clean-Up Kit. DNA is eluted in ddH2O, further purified using AMPure Beads (Beckman Coulter, Inc., Brea, CA), and finally, resuspended in ddH2O. Concentration and quality of the purified barcoded sequences are assessed using a Nanodrop (Peqlab Biotechnology). Samples are stored at 220°C. Amplicon sequencing is performed at Eurofins on a 454 GS FLX Titanium Platform from one side (Lib-L-A) according to the recommended procedures for 454 Roche (Roche, Basel, Switzerland).
- Conditions
- Constipation, Inflammation
- Keywords
- constipation, , ,, gut microbiome, uremic toxins, inflammation
- Medical subject headings
- Constipation, Inflammation
What is being measured
The primary outcome is the main question the study is designed to answer.
Serum uremic toxins such as indoxyl sulfate, p-cresol and IAA analysis
gut microbiota composition have been associated with increased production of indoxyl sulfate and p-cresyl sulfate, which is directly associated with endothelial dysfunction, inflammation and oxidative stress, and increases in the incidence of CVD and mortality.
Measured: 1 years
Secondary outcomes (1)
Stool DNA Isolation and 16S rDNA Gene Amplicon Sequencing
16S rDNA Illumina amplicon profiles of faecal samples to assess potential associations between microbiota composition and constipation.
Measured: 1 years
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted16 Mar 2020
- Study start10 Mar 2020
- Primary completion31 Dec 2020
- Study completion31 Dec 2020
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Other trials for ConstipationStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case crossover
- Time perspective
- Cross-sectional
- Enrolment
- 61 participants (actual)
Sponsor and investigators
- Lead sponsor
- Tungs' Taichung Metroharbour Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Paik Seong Lim, PhD, Principal investigator, Tungs' Taichung Metroharbour Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04309019
- Sponsor's protocol ID
- 108080
- Status last verified
- Apr 2022
- First submitted
- 11 Mar 2020
- Last updated
- 29 Apr 2022
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Study at a glance
From the registry record, last updated by the sponsor on 29 Apr 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Constipation, Gut Microbiome, and Microbial-derived Uremic Toxins From the Gut Microbiota in HD Patients Is There a Relationship Between Them ?
- ClinicalTrials.gov ID
- NCT04309019
- Acronym / sponsor ID
- 108080
- Conditions
- Constipation, Inflammation
- Keywords
- constipation, , ,, gut microbiome, uremic toxins, inflammation
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 61 participants (actual)
- Lead sponsor
- Tungs' Taichung Metroharbour HospitalUniversity, hospital or other
- Study start
- 10 Mar 2020 (actual)
- Primary completion
- 31 Dec 2020 (actual)
- Study completion
- 31 Dec 2020 (actual)
- First posted
- 16 Mar 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Chronic constipation is a prevalent, multifactorial gastrointestinal disorder, and its etiology and pathophysiology remain poorly understood. Recently studies using 16S rDNA-based microbiota profiling have demonstrated dysbiosis of gut microbiota in chronic constipation. In addition, alterations of fecal flora of the a group of severely constipated patients had been reported. Constipation, an indicator of gut dysbiosis in dialysis patients, may also pose a greater burden in dialysis patients. Some recent findings highlight the plausible link between the gut and the kidneys and provide additional insights into the pathogenesis of kidney disease progression and development of cardiovascular disease. Yet, the constipation in dialysis patients is usually ignored and not even draw the attention of dialysis physician as an ominous risk factor of constipated dialysis patients. In view of multiple factors link the gut and cardiorenal pathophysiology, and the scarcity of literature on this issue, the aim of this study is want to know if constipation can result in any changes to the intestinal microbiota and is it associated with inflammation, atherogenic profile and levels of microbial derived uremic toxins. Here, the investigators use both self-reported Bristol stool form scale (BSFS) scores and Roman IV criteria to diagnose constipation and 16S rDNA Illumina amplicon profiles of faecal samples of 90 dialysis patients to assess potential associations between microbiota composition and constipation. The relationship between uremic toxins and inflammation will also be explored in the dialysis suffering from constipation.
Detailed description
Study Design and Population
Patients and Methods
This study will include 90 dialysis patients. Patients over age 20 years old and undergoing HD for at least 6 months will be enrolled. Patients with inflammatory diseases, cancer, AIDS, autoimmune disease, use of a central catheter for hemodialysis access, amputated limbs, pregnancy, and patients using catabolic drugs, antioxidant vitamin supplements pre, pro and symbiotic and antibiotics in the last 3 months before the start of this study were excluded. Dialysis duration was 4 hours per session, three times per week, with a blood flow >250 mL/min and a dialysate flow of 500 mL/min.
Analytic Procedures and Sample Processing
Blood samples will be drawn from each subject in the morning, after overnight fasting (for HD patients before a regular HD session). Plasma was separated (15 minutes, 30003 g, 4 C) and stored in -80 C until analysis.
Total concentrations of uremic toxins indoxyl sulfate(IS), p-cresol sulfate(PCS), and indoleacetic acid( IAA) are quantified by high-performance liquid chromatography (HPLC) with fluorescent detection.. Briefly, for binding competition, 200μl serum to which we added 20μl 0.50mM 1-naphthalenesulfonic acid (internal standard) was vortex-mixed with 250μl 0.24M sodium octanoate (binding competitor).After incubation at room temperature for 5min, we added 2ml cold acetone to precipitate proteins. Following vortex-mixing and centrifuging at 4 ◦C, 1860×g for 20 min, the supernatant was transferred to 12mm×100mm, GL 14 glass test tubes and 2ml dichloromethane was added. After vortex-mixing and centrifuging at 4 ◦C, 1860×g for 10min, 200μl of the upper layer was transferred to glass autosampler vials, followed by addition of 20μl 1M HCl and 15μl was injected onto the HPLC. The HPLC analysis was performed on an Agilent 1100 series LC (Santa Clara, CA),and Agilent ChemStations software were used for the chromatographic analysis. The separation was carried out on a ZORBAX SB-C18 Solv Saver Plus HPLC column (5 μm, 3.0 mm×150 mm).at a flow rate of 0.6 ml/min. Mobile phase A is 0.2% trifluoroacetic acid in Milli-Q water and mobile phase B is 0.2% trifluoroacetic acid in acetonitrile. The analytical method consists of an isocratic run with 92% mobile phase A for 23 min.. Each analytical run was followed by a 1.3 min washout gradient to 100% B. Column temperature was 25 ◦C, and autosampler tray temperature was 6 ◦C. We quantified the analytes by using the analyte to standard peak area ratio on a Agilent 1100 High Performance Fluorescence detector G1321A and Agilent 1100 Series UV-Visible detectors G1314A. Detector settings were λex 260 nm/λem288nm for p-cresyl sulfate and λex 280 nm/λem 390nm for indoxyl sulfate and IAA.
Total antioxidant activity (TAA) is measured in plasma using the Antioxidant Status Assay Kit (Calbiochem, Darmstadt, Germany) according to the manufacturer's protocol. The assay is defined as the ability of antioxidants in the plasma samples to prevent oxidation of 2,2'-azino-bis-(3-ethylbenz-thiazoline-6-sulfonic acid) (ABTS) by metmyoglobin. The amount of ABTS+ produced is monitored by reading the absorbance at 600 nm. The inter- and intra-assay coefficients of variation are 5.0% and 4.3%, respectively.
High-sensitivity protein C reactive (CRP), interleukin- 6 (IL-6), MCP-1, and Calprotectin were analyzed by immunoenzymatic assay (ELISA; R\&D systems ). Routine laboratory parameters were measured by standard techniques.
Laboratory measurements
Total Antioxidant Status (TAS) kits purchased from Randox Laboratories Ltd. (Crumlin, UK) are applied for the assessment of the overall serum antioxidant capacity. It is based on the suppression of the formation of 2,2'-azinobis (3-ethylbenzothiazoline-6-sulfonate; ABTS*+), mediated mainly by the subsequent antioxidants: uric acid, protein thiol groups, ascorbic acid, and tocopherol. The plasma levels of MCP-1, IL-6, CRP, IL-17A and calprotectin are tested by commercially available human ELISA kit respectively, according to the manufacturer's instruction.
Stool DNA Isolation and 16S rDNA Gene Amplicon Sequencing
QI Aamp DNA Stool Mini Kit (51504; Qiagen, Germantown, MD) is used to extract gDNA from freshly collected feces samples from both mouse strains. The 16S rDNA gene variable regions V3-V6 are amplified by PCR using fecal gDNA. PCR comprised two consecutive steps. Primers targeting the 16S rDNA gene (italic) and specific primers carrying the 59M13/rM13 adapters (bold) 338FM13 (GTAAACGACGGCCAGTGCTCCTACGGGWGGCAGCAGT) and 1044R-rM13 (GGAAACAGCTATGACCATGACTACGCGCTGACGACARCCATG) are used to amplify the V3-V6 region of the bacterial 16S rDNA gene. After purification of PCR products using the NucleoSpin Gel and PCR Clean-Up Kit per the manufacturer's instructions, concentration and quality of the purified PCR products are assessed. To barcode each PCR product with a specific MID sequence and add the 454-specific Lib-L tag, a second PCR was performed using M13/rM13-specific primers containing the 454-specific Lib-L primers (underlined) A-M13 (CCATCTCATCCCTGCGTGTCTCCGACTCAG / MIDsequence/GTAAACGACGGCCAGG) and B-rM13 (CCTATCCCCTGTGTGCCTTGGCAGTCTCAGGGAAACAGCTATGA CCATGA).
Amplicons of the second PCR were pooled and purified by ethanol precipitation. Purified PCR products are run on a 0.8% agarose gel, bands corresponding to the barcoded 16S rDNA gene sequences are excised, and DNA was extracted using the NucleoSpin Gel and PCR Clean-Up Kit. DNA is eluted in ddH2O, further purified using AMPure Beads (Beckman Coulter, Inc., Brea, CA), and finally, resuspended in ddH2O. Concentration and quality of the purified barcoded sequences are assessed using a Nanodrop (Peqlab Biotechnology). Samples are stored at 220°C. Amplicon sequencing is performed at Eurofins on a 454 GS FLX Titanium Platform from one side (Lib-L-A) according to the recommended procedures for 454 Roche (Roche, Basel, Switzerland).
Study design
- Observational model
- Case crossover
- Time perspective
- Cross-sectional
Who may qualify
- Ages
- 20 to 90 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- patients have to be at least 20-years-old and and undergoing hemodialysis (HD) for at least 6 months.
Key inclusion criteria (2 listed)
- Patients over age 20 years old
- Undergoing hemodialysis (HD) for at least 6 months
Key exclusion criteria (10 listed)
- Inflammatory diseases
- Cancer
- AIDS
- Autoimmune disease
- Use of a central catheter for hemodialysis access
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Serum uremic toxins such as indoxyl sulfate, p-cresol and IAA analysis
Time frame: 1 years
gut microbiota composition have been associated with increased production of indoxyl sulfate and p-cresyl sulfate, which is directly associated with endothelial dysfunction, inflammation and oxidative stress, and increases in the incidence of CVD and mortality.
1 secondary outcome
Stool DNA Isolation and 16S rDNA Gene Amplicon Sequencing
Time frame: 1 years
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 29 Apr 2022.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Paik Seong Lim, PhD principal investigator
Tungs' Taichung Metroharbour Hospital
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Constipation and Inflammation, run by Tungs' Taichung Metroharbour Hospital at 1 site in Taiwan.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 2 inclusion and 10 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 29 Apr 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in Taiwan. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Serum uremic toxins such as indoxyl sulfate, p-cresol and IAA analysis (time frame: 1 years). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 29 Apr 2022.