Literature DB >> 29194983

Translational Development of Microbiome-Based Therapeutics: Kinetics of E. coli Nissle and Engineered Strains in Humans and Nonhuman Primates.

Caroline Kurtz1, William S Denney2, Larry Blankstein1, Sarah E Guilmain1, Suman Machinani1, Jonathan Kotula1, Saurabh Saha3, Paul Miller1, Aoife M Brennan1.   

Abstract

Understanding the pharmacology of microbiome-based therapeutics is required to support the development of new medicines. Strains of E. coli Nissle (EcN) were genetically modified and administered to cynomolgus monkeys at doses of 1 × 109 and 1 × 1012 colony-forming units (CFU)/day for 28 days. A clinical study to evaluate the exposure and clearance of EcN in healthy volunteers was also performed. Healthy subjects received oral doses of EcN, 2.5 to 25 × 109 CFU 3 times daily for 28 days or a single day. In cynomolgus monkeys, replicating strains yielded higher fecal concentrations than nonreplicating strains and persisted for longer following cessation of dosing. In the clinical study, all subjects cleared EcN following cessation of dosing with median clearance of 1 week. Quantitative methodology can be applied to microbiome-based therapeutics, and similar kinetics and clearance were observed for EcN in cynomolgus monkeys and humans.
© 2017 The Authors. Clinical and Translational Science published by Wiley Periodicals, Inc. on behalf of American Society for Clinical Pharmacology and Therapeutics.

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Year:  2017        PMID: 29194983      PMCID: PMC5866967          DOI: 10.1111/cts.12528

Source DB:  PubMed          Journal:  Clin Transl Sci        ISSN: 1752-8054            Impact factor:   4.689


Study Highlights

WHAT IS THE CURRENT KNOWLEDGE ON THE TOPIC?

✓ There are little published data on methods to assess the pharmacology of microbiome‐based therapeutics.

WHAT QUESTION DID THIS STUDY ADDRESS?

✓ The studies described here were designed to 1) develop methodologies to determine the pharmacology of EcN (a probiotic bacteria) and engineered strains; 2) evaluate the pharmacology of engineered strains in nonhuman primates; and 3) quantitatively assess the pharmacology of EcN in healthy human volunteers.

WHAT THIS STUDY ADDS TO OUR KNOWLEDGE

✓ The study demonstrates that it is feasible to assess pharmacology of bacterial therapeutics using specific PCR‐based assays and quantitative pharmacology methodologies. It also demonstrated that nonhuman primates may be an appropriate preclinical model to evaluate pharmacology for EcN and engineered strains.

HOW THIS MIGHT CHANGE CLINICAL PHARMACOLOGY OR TRANSLATIONAL SCIENCE

✓ The methods initiated in this article support translation of microbiome‐based therapeutics from nonclinical to clinical species. The studies also support the design of first‐in‐human studies of microbiome‐based therapeutics with quantitative methods for assessing kinetics and washout with both unmodified and auxotrophic bacterial therapeutics. An increasing understanding of the importance of host:microbiome interactions in health and disease has led to the initiation of several clinical studies of microbiome‐based interventions. Despite the proliferation of basic science and epidemiological research, translation of discoveries in this area into new therapies is limited by gaps in our ability to evaluate pharmacology for live products that act from within the gut lumen. This leads to difficulty in extrapolating from preclinical disease models and uncertainty in selecting dose and regimen for clinical studies. Most analyses of microbiome or probiotic‐based therapeutics have historically involved culturing bacteria from stool or assessment of the relative abundance of bacterial species in stool using 16S RNA sequences. While these methodologies can provide information about the presence or absence of broad taxa, their utility in quantitative assessment of microbial load for specific species is limited by specificity of the culture media and variability in expression and copy number of 16S rRNA in bacteria. Further complicating quantitative assessment is the unknown and inconsistent recovery of microbial DNA from stool. Therefore, detecting bacterial strain exposure using sensitive and specific methodologies in humans remains a challenge. Escherichia coli is one of the earliest probiotic bacterial strains to be developed for human therapeutic use (Nissle A, 1916). Among probiotic E. coli strains, E. coli Nissle (EcN) 1917 has been the topic of numerous studies in humans since its discovery in the early 1900s, and is marketed in Germany and other countries under the brand name Mutaflor (Ardeypharm, Herdecke, Germany).1 While prior studies have been performed evaluating the clearance of EcN in humans, many gaps remain regarding the quantitative kinetics of EcN, translation from preclinical models, and the contribution of in vivo replication.2, 3, 4, 5, 6 We are developing synthetically modified strains of EcN as therapeutics for rare inborn errors of metabolism such as urea cycle disorders and phenylketonuria. We developed strains of EcN with kanamycin resistance (SYNB975) as well as with combination kanamycin resistance, thymidine auxotrophy, and a modified arginine synthetic pathway to enhance conversion of ammonia to arginine (SYNB1010). In advance of studying these strains in patients, we designed preclinical and clinical studies with the modified strains and the parent strain (EcN) to develop methodologies for quantitative microbial kinetics using specific probes to genomic sequences and quantitative polymerase chain reaction (PCR). The current research comprised a two‐part investigation, first to characterize the kinetics and clearance for each strain in cynomolgus monkeys, and second to evaluate the exposure and clearance of EcN in healthy volunteers.

METHODS

Nonhuman primate study

A study was conducted in the cynomolgus monkey to explore tolerability and evaluate the pharmacokinetics of two EcN strains: SYN975 (kanamycin‐resistant EcN) and SYNB1010 (kanamycin‐resistant, arginine‐producing, and thymidine auxotroph); see Supplementary Methods, Table S1 for a comparison of the genetic modifications of each bacterial strain. Bacteria were diluted in phosphate‐buffered saline and administered by nasogastric gavage once daily for 28 days to groups of three female cynomolgus monkeys. SYN975 or SYNB1010 were administered at dose levels of 1 × 109 and 1 × 1012 colony‐forming units (CFU)/day. Assessments included daily clinical observations and weekly body weights and blood samples for hematology and clinical chemistry. Fecal samples or fecal swabs (when no feces were produced) were collected at baseline, during dosing, and during washout. No terminal necropsies were performed and animals were returned to the stock colony upon completion of the study. Fecal samples from Day –5 (predose), Days 2, 21, and 28 (during dosing), and Days 30 and 35 (during washout) were analyzed by quantitative PCR using EcN‐specific primers.

Clinical study

A prospective, open‐label, single‐center study was performed in healthy subjects who received oral doses of EcN in the form of Mutaflor capsules. The study included two cohorts: a multiple‐day cohort in which subjects received EcN 3 times daily with meals for 28 days and a single‐day cohort in which subjects received EcN 3 times with meals in a single day. The primary objective of the study was to evaluate EcN clearance in the gastrointestinal tract, including the percentage of subjects with positive samples at 24 weeks after treatment initiation as well time to no detection of EcN in feces in two consecutive samples. Secondary objectives included evaluation of safety, tolerability, and changes in gastrointestinal symptoms. Eligible subjects were males or females aged 18–55 years with no preexisting medical conditions, a body mass index of 18.5–30 kg/m2, between four and 14 bowel motions per week, and all subjects had to be negative for EcN at baseline based on the results of a fecal EcN qualitative PCR assay. Subjects agreed to maintain a stable diet with no major dietary changes during the treatment phase of the study and until 2 weeks after the last treatment administration. Following completion of informed consent and confirmation of eligibility, subjects initiated treatment with dispensed investigational product refrigerated at their homes and self‐administered orally on a prespecified schedule. Subjects were instructed to take one capsule of EcN (Mutaflor) with meals three times daily for 28 days (multiple‐day cohort) or in a single day (single‐day cohort). Each capsule nominally contained 2.5 to 25 × 109 bacteria. During the dosing period, subjects maintained diaries to record treatment compliance and were continuously monitored for adverse events (AEs), concomitant medications, and gastrointestinal tolerability. Blood cultures were performed at baseline in both cohorts and on Days 4 and 14 in the multiple‐day cohort. Blood samples for hematology and biochemistry were collected at baseline and end of study in both cohorts. Following completion of dosing, subjects were followed until two consecutive fecal samples were negative for EcN or until at least 6 months (multiple‐day cohort) or 12 weeks (single‐day cohort) after the last EcN administration. This study was conducted in accordance with the International Conference on Harmonization of Technical Requirements for Registration of Pharmaceuticals for Human Use Good Clinical Practices, including collection of written informed consent from all subjects prior to study participation. The study protocol and related materials were approved by local regulatory authorities and a site‐specific Ethics Committee prior to study initiation.

Assessments

Treatment compliance was assessed through patient diaries, and AEs were recorded and reviewed by the investigator at each visit. Fecal samples were collected by subjects in sterile plastic containers at their homes on protocol‐specified days, stored at 4°C, and returned to the phase I unit the following day for processing. During dosing in the multiple‐day cohort, fecal samples were provided for qualitative and quantitative PCR at baseline (Day 0), Days 2, 4, 6, 8, 10, 12, 14, 16, 18, 20, 22, 24, 26, and 28 and at Weeks 5, 6, 7, 8, 9, 12, 16, 24, 32, 40, and 48. In the single‐day cohort, fecal samples were provided for qualitative and quantitative PCR at screening, before the start of treatment (Day 0), on Days 1, 2, 3, 4, 5, 7, 14, 21, and 28 and at Weeks 5, 6, 7, 8, 9, 10, 11, and 12.

PCR methods and primers

PCR primers for the qualitative and quantitative assays were generated by performing comparative sequence analysis on 49 E. coli genomes including Nissle to identify sequences unique to Nissle among E. coli and also not found in other bacterial species (see Supplementary Methods). This process generated multiple primer pairs, from which two were selected for validation in an SYBR Green assay and primer/probe sets were identified for the quantitative (Taqman format) assay (Table 1).
Table 1

PCR primers

Qualitativea primer set (primer name)SequenceStudyUsed for
N1 (B ‐ 2F)gcaactggcccgtaattatccClinical studyScreening of subjects and determining clearance post treatment
N1 (B ‐ 2R)acgcatcgcacgtaggttt
N2 (B ‐ 3F)tgccgaaaggctaaacaggt
N2 (B ‐ 3R)tgctctattctgaccgtgcc

Syber Green Methodology.

TaqMan Methodolgy.

PCR primers Syber Green Methodology. TaqMan Methodolgy.

Assay development

For the qualitative PCR assay, a standard was generated using EcN DNA that had been prepared from a Mutaflor capsule using the QIAamp DNA Mini Kit (Qiagen, Germantown, MD) with DNA eluted in 100 μL of elution buffer. Good linearity of signal was observed for the dilution series between 5 × 100 and 5 × 106 CFU/PCR reaction. The limit of detection was ≤5 CFU/PCR for both the N1 and N2 primer sets corresponding to ≤500 CFU/mL heat‐treated stool sample. The N1 and N2 primer pairs also showed no crossreactivity when tested against purified DNA from 34 different bacterial species frequently isolated from human stool samples, demonstrating good specificity. For the quantitative PCR assay, two target sequences were identified for detection by primer pairs and probes that were designated assays 16073 and 16075 (Table 1). A standard curve was generated using the selected conditions (see Supplementary Methods for additional details) to determine the assay range, specificity, linearity, limit of detection, and quantitation over a range between 1 × 101 to 1 × 108 copies of a DNA fragment containing the target sequences. At a threshold setting of 0.2, the limit of detection for assays 16073 and 16075 were estimated to be 40 copies and 20 copies, respectively. Specificity was confirmed using DNA extracted from yeast tRNA, Lambda DNA, cynomolgus monkey genomic DNA and total RNA, mouse genomic DNA and total RNA, and human placental DNA and RNA. No indication of nonspecific amplification was observed with any of these substrates. The qualitative and quantitative PCR methods were qualified against samples of human and monkey stool samples spiked with known concentrations of EcN DNA and found to be sensitive and valid (see Supplementary Methods). The 16073 primer set demonstrated a limit of quantitation of 40 copies, while the 16075 set had a limit of quantitation of 20 copies.

Fecal sample preparation and DNA Extraction

Qualitative assay

Approximately 200–400 mg of native stool material was mixed with 2 mL H2O (high‐performance liquid chromatography grade) and vortexed until a homogeneous solution was obtained. The solution was incubated for 10 min at 100°C in a heating block. After cooling, the samples were centrifuged at 3500 × g for 10 min. DNA was extracted from 200 μL of heat‐treated stool sample supernatants using the QIAamp DNA Mini Kit according to the manufacturer's instructions.

Quantitative assay

Fecal samples were diluted 1:1 with phosphate‐buffered saline (pH 7.4) and mixed by vortexing. Approximately 250 μL were homogenized using the PowerLyzer PowerSoil DNA Isolation Kit (MO BIO Laboratories, Carlsbad, CA) following the manufacturer's instructions. Purity and concentration determinations of the extracted DNA were performed on the Nanodrop 8000 with PowerLyzer DNA elution buffer as the blanking buffer.

Analysis of stool samples

Stool samples from the cynomolgus monkey or human were analyzed by qualitative and quantitative PCR. For the qualitative assay, PCR reactions were carried out using QuantiTect SYBR Green PCR Kit (Qiagen), with separate reactions for the N1 and N2 primer pairs (see Supplementary Methods). For the quantitative assay, assessments were performed using the QuantStudio 7 Flex Real‐Time PCR System with QuantStudio Real‐Time PCR Software (see Supplementary Methods). Primers were used in the qualitative PCR protocol in a presence/absence assay. If a sample yielded a positive result for both primer pairs, it was scored as “Nissle‐positive.” If a sample was negative for both primers, it was scored as “Nissle‐negative.” Samples that were positive for one primer but negative for the other were reevaluated. Samples that continued to produce a mixed result after retesting were considered negative.

Statistical analysis

In the nonhuman primate study, relative abundance was estimated by a log‐scale linear model of fecal concentration using data at the top dose on dosing days, and clearance was determined by first measurement below the limit of quantification. Statistical analyses were performed using R (v. 3.3.2, Vienna, Austria) for descriptive statistics with the PKNCA (v. 0.8.1) library for assessing time to steady state and the rstanarm (v. 2.14.1) library to assess relative abundance.8, 9, 10 No formal sample size calculations were conducted in the clinical study. Safety analyses were performed for all subjects who received at least one dose of EcN, and kinetic analyses were performed for all subjects who completed treatment per protocol, with no imputations for missing data. Descriptive statistics were used to summarize the baseline characteristics of both cohorts. The time to steady state and time to clearance were calculated based on the quantitative and qualitative PCR data.

RESULTS

Nonhuman primate results

In nonhuman primates, both modified EcN strains tested (SYN975 (kanamycin‐resistant) and SYNB1010 (thymidine auxotroph, kanamycin‐resistant, and arginine‐producer)) were well tolerated, with no clinical observations or hematology or clinical chemistry findings. Due to limited kinetic sampling in the study, relative abundance (i.e., Cmax ratio) and clearance were the only parameters calculated for the study. SYN975 yielded higher fecal concentrations than SYNB1010, with an estimated 6.9‐fold higher abundance in feces when compared with the same dose level of SYNB1010 (Figure 1). SYNB1010 appeared to clear faster than SYN975, with 1 × 109 CFU of SYNB1010 clearing in two of three animals on Day 30 and in three of three  animals on Day 35, compared with clearing of 1 × 109 CFU of SYN975 in zero of three  and two of three  animals, respectively. Three of three  animals cleared on Day 35 for 1 × 1012 CFU of SYNB1010 compared with two of three  animals for SYN975.
Figure 1

Quantitation of E. coli Nissle‐derived strains in cynomolgus monkeys using quantitative PCR. The red color indicates a dose of 1 × 109 CFU and the green color indicates a dose of 1 × 1012 CFU; the colored solid lines indicate the geometric means for animals administered SYN975, while the colored dashed lines indicate animals administered SYNB1010; the gray background indicates the dosing period; the gray dashed lines indicate the LOQ, BLOQ, and Qual Neg. BLOQ is plotted as LOQ/2, and Qual Neg is plotted as LOQ/4. BLOQ, below the limit of quantitation with quantitative PCR but positive with qualitative PCR; EcN, E. coli Nissle; LOQ, limit of quantitation estimated as the lowest measured copies of EcN/mL; Qual Neg, one or both qualitative PCR primers were negative; SD, standard deviation.

Quantitation of E. coli Nissle‐derived strains in cynomolgus monkeys using quantitative PCR. The red color indicates a dose of 1 × 109 CFU and the green color indicates a dose of 1 × 1012 CFU; the colored solid lines indicate the geometric means for animals administered SYN975, while the colored dashed lines indicate animals administered SYNB1010; the gray background indicates the dosing period; the gray dashed lines indicate the LOQ, BLOQ, and Qual Neg. BLOQ is plotted as LOQ/2, and Qual Neg is plotted as LOQ/4. BLOQ, below the limit of quantitation with quantitative PCR but positive with qualitative PCR; EcN, E. coli Nissle; LOQ, limit of quantitation estimated as the lowest measured copies of EcN/mL; Qual Neg, one or both qualitative PCR primers were negative; SD, standard deviation.

Clinical study results

Subject disposition

Between September 2016 and April 2017, 83 healthy adult male and female subjects were screened for study inclusion at a single site in Bulgaria, including 55 subjects who were enrolled and received treatment in either the single‐day (n = 10) or multiple‐day (n = 45) cohort (Figure 2). All subjects enrolled in the single‐day cohort completed the intervention and are included in the safety and kinetics analyses. Of the 45 subjects enrolled in the multiple‐day cohort, two subjects discontinued dosing prematurely by subject request and were excluded from kinetics analyses. Baseline characteristics for both cohorts are summarized in Table 2.
Figure 2

Consort diagram for the clinical study.

Table 2

Baseline characteristics by cohort (Safety Analysis Set)

CharacteristicStatisticMultiple‐day cohort (n = 45)Single‐day cohort (n = 10)
Male:female (n)14:316:4
Caucasian (%)100100
Age (years)Mean ± SD36.4 ± 9.135.9 ± 6.1
Height (cm)Mean ± SD169.1 (7.7)174.6 (10.9)
Weight (kg)Mean ± SD71.9 (12.3)74.3 (14.0)
BMI (kg/cm2)Mean ± SD25.1 (3.4)24.2 (2.9)

n, number of subjects; SD, standard deviation.

Consort diagram for the clinical study. Baseline characteristics by cohort (Safety Analysis Set) n, number of subjects; SD, standard deviation.

Compliance and safety

Subjects were compliant with dosing and fecal collection, with more than 98% of subjects consuming all prescribed doses and 99% of fecal samples provided per protocol. No SAEs were reported during the study. Seven treatment‐emergent AEs were reported in seven subjects (16%) in the multiple‐day cohort. Six subjects (13%) experienced events of headache (moderate intensity), five of which were considered not related to EcN administration and one of which was considered unlikely related. All headache events resolved completely within 2 days. One subject (2%) experienced an AE of increased hepatic enzymes (mild intensity) that was detected at the final study visit and considered not related to EcN administration. Overall, EcN was well tolerated, with minimal changes in gastrointestinal symptoms over the study period (data not shown).

Results of fecal E. coli Nissle kinetics in humans

Results from the primary end‐point analyses indicated no subjects with fecal samples positive for EcN at 24 weeks after treatment discontinuation. The median time to clearance following the final administration of EcN using the qualitative PCR assay was ∼4 days (range 3–55 days) in the single‐day cohort and 13 days (range 0–142 days) in the multiple‐day cohort (Figure 3). Because of the requirement for two negative samples for declaration of clearance, a comparison of duration of clearance between the two dosing regimens is limited by disparate postdose sampling schedules. The quantitative assay was highly correlated with the qualitative assay; 71% of samples that tested negative with the qualitative PCR assay were below the lower limit of quantification, while 90% of samples that tested positive in the qualitative assay were above the lower limit of quantification.
Figure 3

E. coli Nissle clearance via qualitative assay with two negative results required to define clearance. The horizontal axis represents days since the last dose, and the vertical axis is the fraction of subjects continuing follow‐up (i.e., had not yet cleared E. coli Nissle). The solid and dashed lines indicate the Kaplan–Meier estimates for time to clearance and its 95% confidence interval; the arrows at the top indicate times when monitoring occurred with color indicating dosing regimen.

E. coli Nissle clearance via qualitative assay with two negative results required to define clearance. The horizontal axis represents days since the last dose, and the vertical axis is the fraction of subjects continuing follow‐up (i.e., had not yet cleared E. coli Nissle). The solid and dashed lines indicate the Kaplan–Meier estimates for time to clearance and its 95% confidence interval; the arrows at the top indicate times when monitoring occurred with color indicating dosing regimen. Analysis of the noncompartmental parameters for quantitative PCR (Table 3, Figure 4) indicated that the median time to maximum observed quantitative PCR concentration (Tmax) with single‐day dosing was on Day 2, while with multiple‐day dosing Tmax was on Day 6. The high variability of day‐to‐day measurements indicated that the maximum observed concentration (Cmax) does not define the accumulation ratio directly, and other methods for assessing accumulation were required (described below).
Table 3

Clinical kinetic parameters (Kinetics Analysis Set)

RegimenCmax (CFU/mL feces)Tmax (days)
Multiple‐day cohort (n = 45)1260000 [444]6 [0, 28]
Single‐day cohort (n = 10)179000 [4950]2 [0, 14]

CFU, colony‐forming unit(s); Cmax, maximum observed concentration; n, number of subjects; Tmax, time of Cmax.

Cmax values are geometric mean [geometric coefficient of variation]; Tmax values are median [range].

For both single‐ and multiple‐day data, parameters were calculated from Day 1 to Day 28; due to additional measurements with multiple‐day data, the ratio of Cmax values is not comparable as the accumulation ratio.

Figure 4

Time course of median E. coli Nissle quantitative PCR for single and multiple dose regimens. EcN, E. coli Nissle; PCR, polymerase chain reaction.

Clinical kinetic parameters (Kinetics Analysis Set) CFU, colony‐forming unit(s); Cmax, maximum observed concentration; n, number of subjects; Tmax, time of Cmax. Cmax values are geometric mean [geometric coefficient of variation]; Tmax values are median [range]. For both single‐ and multiple‐day data, parameters were calculated from Day 1 to Day 28; due to additional measurements with multiple‐day data, the ratio of Cmax values is not comparable as the accumulation ratio. Time course of median E. coli Nissle quantitative PCR for single and multiple dose regimens. EcN, E. coli Nissle; PCR, polymerase chain reaction. While day‐to‐day measurements were variable, the data were sufficient to estimate an approximate time to steady state with multiple dose administration. The time to steady state was rapid; it was estimated at or before the first measurement in the study, 2.2 or 4 days, when estimated with either a monoexponential time to steady state or linearity test; the times to steady state align with the observation of median Tmax on Day 6 with multiple dosing.11 Using quantitative PCR from fecal samples, results from 28 days of dosing with EcN indicate accumulation of ∼1.6‐fold copies/mL compared with single‐day levels.

DISCUSSION

Studies of the human microbiome in health and disease have highlighted a potential therapeutic value of live bacteria as an approach to combat complex and intractable disease states that are associated with microbial dysbiosis or have a potential site of action in the gut.12 Treatment with probiotic bacteria may have potential to restore microbiome balance, and numerous studies and meta‐analyses have been conducted reviewing their effectiveness in different disease states.13 The quality of the clinical evidence for probiotics is variable, with mostly small and open‐label trials, the majority of which do not report data on exposure in either the active or placebo group. For probiotic therapies to be rigorously developed as therapeutic treatments, a better understanding of microbial colonization and kinetics in the gastrointestinal tract is needed. Previous studies with probiotic bacteria (including EcN 1917) used various methodologies to detect colonization of the human intestinal tract, including plating on selective media and PCR detection from stool samples.2, 14, 15 In one of the best examples of such a study, the excretion of EcN in the stool of healthy volunteers was followed out to 48 weeks following a 7‐day dosing period with EcN (Mutaflor) in the presence or absence of mesalamine using PCR with Nissle‐specific primers.2 The authors report some subjects still being positive at 48 weeks; however, when evaluating the data from this study, there are several limitations to the interpretability of the results. Neither the sensitivity and specificity of the PCR primers nor the quantification of levels of the bacteria found in stools were reported. These analyses are complicated by the challenges of poor recovery of stool, extraction efficiency of bacteria from stool, and specificity of the methodology for detecting EcN in the stool. Traditional methods of plating on selective media are limited by the inability to accurately distinguish EcN from other enterobacteriaceae from stool cultures. Quantitative PCR methodologies require identification of unique primers and probes within the EcN genome. Recently, the complete genome sequence of EcN has been obtained and published, allowing the use of bioinformatic approaches to identify unique sequences found in EcN but no other sequenced E. coli or enterobacteriaceae species.16, 17 Results from the current investigation demonstrated the feasibility of applying quantitative methodology to the assessment of EcN kinetic parameters in stool in both preclinical species and human subjects. We developed a sensitive and specific quantitative PCR assay based on the identification of two unique sets of primers and probes based on sequences found within EcN genomic DNA that are not found in other E. coli species or other enterobacteriaceae sequences. This method has a limit of detection of 20 and 40 copies of Nissle DNA per μg of extracted stool DNA, for the two primer sets 16075 and 16073, respectively. In the nonclinical study in cynomolgus monkeys, 109 or 1012 CFU of EcN‐derived strains were very well tolerated during 28 days of treatment, despite the fact that the microbial load given was 40‐fold above the highest human dose given in the clinical study (2.5 × 1010 CFU) for an animal that is 1/17th the weight of a healthy human (4 kg vs. 70 kg) and an approximately similar fraction of gastrointestinal volume.18 There was some dose‐dependency on the clearance, but both dose levels cleared rapidly following cessation of dosing and fell below the limit of quantification by 7 days postdosing. Subjects treated in the clinical study demonstrated good compliance with stool collection in an outpatient setting, and the resulting data permitted the calculation of pharmacokinetic parameters. The administration of EcN capsules for 1 and 28 days was well tolerated, with no safety signals identified and no growth on blood culture, consistent with the known safety profile of EcN.19 The clinical study suggested that EcN reached an approximate steady state over 2–4 days and cleared relatively rapidly following discontinuation. Median clearance occurred within 1 week, and over 80% of subjects had cleared EcN within 3 weeks. The clearance in this study confirms prior reports that EcN does not colonize the gut in adult subjects.2 Recovery of bacterial genetic material from the feces also indicated good exposure in the colon. Assuming 100 g of fecal material per day and uniform distribution, 106 CFU of the estimated 3 × 109 CFU administered daily was recovered in the feces at steady state.20 Data from the study in the cynomolgus monkey indicate that in vivo replication contributes to kinetics, as bacteria that were engineered to be incapable of replicating in vivo through deletion of an essential gene, thymidylate synthase, demonstrated more rapid clearance and lower steady‐state concentrations compared with replication‐competent strains. Kinetic parameters were consistent between cynomolgus monkeys and healthy human volunteers; both the EcN and the kanamycin‐resistant EcN had similar clearance in both species, with a median clearance of <2 weeks across species, suggesting that cynomolgus monkeys may be an appropriate preclinical model. The kinetic similarities further suggest that translation of kinetic parameters for time to steady state and time to clearance may be directly comparable between cynomolgus monkeys and humans, and additional work is warranted to compare kinetics more quantitatively. Microbiome profiling has demonstrated species‐specific patterns.21 In addition, differences have been described in host–microbiome interactions between nonhuman primates and humans, including differences in adaptations to dietary changes and diversity.22 Despite these observations, for approaches that do not aim to change the ecology of the gut, data in nonhuman primates may help identify appropriate doses by providing data regarding in vivo kinetics prior to studies in humans. Limitations of the nonclinical study include variability in stool output (when stool samples were not available, fecal swabs were taken), and fewer sampling points for quantitative PCR during the dosing and postdosing periods and a small number of animals per group (n = 3). Limitations of the clinical study include the outpatient treatment administration and fecal collection, which may have contributed to variability in the quantitative assessments. The random fecal sampling performed by each subject, as well as potential differences in the methods and storage of fecal samples, may have influenced the fecal PCR data. While prior publications suggest that bacteria may not be uniformly distributed within feces, median values are considered instructive, particularly as there was consistency between the single and multiple‐day cohorts and clearance kinetics were consistent with prior publications.2, 23 Initial results suggest concordance between cynomolgus monkeys and humans, but further investigation of the nonclinical to clinical microbe kinetic translation are warranted to confirm the initial findings reported here and to increase the ability to quantitatively translate nonclinical to clinical microbiome therapeutics. The absence of clinical data on the auxotrophic strains warrant further investigation to assess both the microbial kinetics and pharmacokinetic/pharmacodynamic relationship of engineered bacteria in a clinical study setting. Despite these limitations, these data demonstrate the feasibility of applying quantitative methodology to the study of microbiome‐based therapeutics and provide a tool that can be used in the development of both colonizing and noncolonizing bacteria, including engineered strains in humans.

Conflict of Interest/Disclosure

Caroline Kurtz, Larry Blankstein, Sarah E. Guilmain, Suman Machinani, Jonathan Kotula, Paul Miller, and Aoife M. Brennan were employees of Synlogic, Inc. at the time the research was performed, and Aoife M. Brennan is a holder of company equity. Saurabh Saha and William S. Denney have received consulting fees from Synlogic, Inc. Suman Machinani, Jonathan Kotula, Saurabh Saha, and Paul Miller are coinventors on issued and pending patents directed to modified strains discussed in this paper. Supplementary Methods.docx Click here for additional data file. Table S1.docx Click here for additional data file. Figure S1.docx Click here for additional data file. Figure S2.docx Click here for additional data file. Figure S3.docx Click here for additional data file.
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1.  Can the flow of medicines be improved? Fundamental pharmacokinetic and pharmacological principles toward improving Phase II survival.

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Journal:  Drug Discov Today       Date:  2011-12-29       Impact factor: 7.851

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Journal:  J Allergy Clin Immunol       Date:  2006-10-23       Impact factor: 10.793

3.  [Effect of administration of Escherichia coli Nissle (Mutaflor) on intestinal colonisation, endo-toxemia, liver function and minimal hepatic encephalopathy in patients with liver cirrhosis].

Authors:  J Lata; J Juránková; V Príbramská; P Fric; M Senkyrík; P Díte; R Kroupa
Journal:  Vnitr Lek       Date:  2006-03

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Authors:  Martina Prilassnig; Christoph Wenisch; Florian Daxboeck; Gebhard Feierl
Journal:  Wien Klin Wochenschr       Date:  2007       Impact factor: 1.704

5.  Voluntarily exposure to a single, high dose of probiotic Escherichia coli results in prolonged colonisation.

Authors:  T M Wassenaar; C Beimfohr; T Geske; K Zimmermann
Journal:  Benef Microbes       Date:  2014-12       Impact factor: 4.205

6.  [Probiotic drug therapy with E. coli strain Nissle 1917 (EcN): results of a prospective study of the records of 3,807 patients].

Authors:  H J Krammer; H Kämper; R von Bünau; E Zieseniss; C Stange; F Schlieger; I Clever; J Schulze
Journal:  Z Gastroenterol       Date:  2006-08       Impact factor: 2.000

7.  Survival of the probiotic Escherichia coli Nissle 1917 (EcN) in the gastrointestinal tract given in combination with oral mesalamine to healthy volunteers.

Authors:  Thai Hoa Joeres-Nguyen-Xuan; Stephan Karl Boehm; Lars Joeres; Juergen Schulze; Wolfgang Kruis
Journal:  Inflamm Bowel Dis       Date:  2010-02       Impact factor: 5.325

8.  Draft Genome Sequence of Escherichia coli Strain Nissle 1917 (Serovar O6:K5:H1).

Authors:  Brady F Cress; Robert J Linhardt; Mattheos A G Koffas
Journal:  Genome Announc       Date:  2013-02-28

9.  Methods for Improving Human Gut Microbiome Data by Reducing Variability through Sample Processing and Storage of Stool.

Authors:  Monika A Gorzelak; Sandeep K Gill; Nishat Tasnim; Zahra Ahmadi-Vand; Michael Jay; Deanna L Gibson
Journal:  PLoS One       Date:  2015-08-07       Impact factor: 3.240

10.  The Characterization of Feces and Urine: A Review of the Literature to Inform Advanced Treatment Technology.

Authors:  C Rose; A Parker; B Jefferson; E Cartmell
Journal:  Crit Rev Environ Sci Technol       Date:  2015-09-02       Impact factor: 12.561

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  9 in total

Review 1.  Prebiotics: tools to manipulate the gut microbiome and metabolome.

Authors:  Fatima Enam; Thomas J Mansell
Journal:  J Ind Microbiol Biotechnol       Date:  2019-06-14       Impact factor: 3.346

2.  Transcriptional programming in a Bacteroides consortium.

Authors:  Brian D Huang; Thomas M Groseclose; Corey J Wilson
Journal:  Nat Commun       Date:  2022-07-06       Impact factor: 17.694

3.  Development of a synthetic live bacterial therapeutic for the human metabolic disease phenylketonuria.

Authors:  Vincent M Isabella; Binh N Ha; Mary Joan Castillo; David J Lubkowicz; Sarah E Rowe; Yves A Millet; Cami L Anderson; Ning Li; Adam B Fisher; Kip A West; Philippa J Reeder; Munira M Momin; Christopher G Bergeron; Sarah E Guilmain; Paul F Miller; Caroline B Kurtz; Dean Falb
Journal:  Nat Biotechnol       Date:  2018-08-13       Impact factor: 54.908

Review 4.  The International Scientific Association of Probiotics and Prebiotics (ISAPP) consensus statement on the definition and scope of postbiotics.

Authors:  Seppo Salminen; Maria Carmen Collado; Akihito Endo; Colin Hill; Sarah Lebeer; Eamonn M M Quigley; Mary Ellen Sanders; Raanan Shamir; Jonathan R Swann; Hania Szajewska; Gabriel Vinderola
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2021-05-04       Impact factor: 73.082

5.  Improvement of a synthetic live bacterial therapeutic for phenylketonuria with biosensor-enabled enzyme engineering.

Authors:  Kristin J Adolfsen; Isolde Callihan; Catherine E Monahan; Per Jr Greisen; James Spoonamore; Munira Momin; Lauren E Fitch; Mary Joan Castillo; Lindong Weng; Lauren Renaud; Carl J Weile; Jay H Konieczka; Teodelinda Mirabella; Andres Abin-Fuentes; Adam G Lawrence; Vincent M Isabella
Journal:  Nat Commun       Date:  2021-10-28       Impact factor: 14.919

6.  Serial passage in an insect host indicates genetic stability of the human probiotic Escherichia coli Nissle 1917.

Authors:  Nicolas C H Schröder; Ana Korša; Haleluya Wami; Olena Mantel; Ulrich Dobrindt; Joachim Kurtz
Journal:  Evol Med Public Health       Date:  2022-02-11

7.  An engineered bacterial therapeutic lowers urinary oxalate in preclinical models and in silico simulations of enteric hyperoxaluria.

Authors:  David Lubkowicz; Nicholas G Horvath; Michael J James; Pasquale Cantarella; Lauren Renaud; Christopher G Bergeron; Ron B Shmueli; Cami Anderson; Jian-Rong Gao; Caroline B Kurtz; Mylene Perreault; Mark R Charbonneau; Vincent M Isabella; David L Hava
Journal:  Mol Syst Biol       Date:  2022-03       Impact factor: 11.429

8.  Single domain antibodies against enteric pathogen virulence factors are active as curli fiber fusions on probiotic E. coli Nissle 1917.

Authors:  Ilia Gelfat; Yousuf Aqeel; Jacqueline M Tremblay; Justyna J Jaskiewicz; Anishma Shrestha; James N Lee; Shenglan Hu; Xi Qian; Loranne Magoun; Abhineet Sheoran; Daniela Bedenice; Colter Giem; Avinash Manjula-Basavanna; Amanda R Pulsifer; Hann X Tu; Xiaoli Li; Marilyn L Minus; Marcia S Osburne; Saul Tzipori; Charles B Shoemaker; John M Leong; Neel S Joshi
Journal:  PLoS Pathog       Date:  2022-09-15       Impact factor: 7.464

Review 9.  Developing a new class of engineered live bacterial therapeutics to treat human diseases.

Authors:  Mark R Charbonneau; Vincent M Isabella; Ning Li; Caroline B Kurtz
Journal:  Nat Commun       Date:  2020-04-08       Impact factor: 14.919

  9 in total

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