Abstract
Background:
Crohn’s disease (CD) has a chronic course, which its recurrence varies widely among different patients. In this study we prospectively analyzed blood samples of 19 CD patients. Alteration in transcription of inflammatory and anti-inflammatory cytokines was analyzed compared with household members after three month follow up.
Methods:
CD patients were diagnosed based on clinical symptoms, endoscopic and histopathologic characteristics. Nineteen CD patients and their households were evaluated from Jun 2019 to Feb 2021 at Tehran university hospitals. CD activity score, biological, clinical and demographic data of the patients were recorded at two time point intervals. Bacteriological tests were done using aerobic and anaerobic blood cultures. To investigate transcriptional alterations, peripheral blood mononuclear cells (PBMCs) were isolated using Ficol centrifugation method and relative quantitative real-time PCR was done to determine the expression level of IFN-γ, TNF-α, IL10, and FOXP3 cytokines.
Results:
Our results showed a correlation between fecal calprotectin level (709.8 ± 554.6), C-reactive protein concentration (18.1 ± 15.9), and erythrocyte sedimentation rate (30.4 ± 17.9) with disease activity (Flare/remission). IL10 and Foxp3 anti-inflammatory gene’s expression were significantly (P = 0.003 for IL10 and P = 0.008 Foxp3) higher during the flare and remission in patients with active disease respectively. Bacteriological examination showed infection with Streptococcus spp. and Clostridium spp. in two CD patients during flares, which was correlated with upregulation and down-regulation of IL10, TNF-α, IFN-γ and FOXP3 proteins, respectively.
Conclusion:
Occurrence of bacteremia, and higher amount of CAP, CRP and ESR are correlated with higher level of transcription for inflammatory cytokines, which could effectively reflect the disease activity. Raise in FoxP3 transcription proposed change in Treg sub-population in PBMC or its activity during the CD remission phase.
Keywords: Crohn’s disease, Inflammation, Cytokines, Regulatory T cell, Blood culture
Introduction
Crohn’s disease (CD) is an inflammatory disorder of the gastrointestinal tract characterized by remission and relapses with symptoms of bloody diarrhea, abdominal pain and bleeding (1, 2). The causes of CD are not clear yet, but it is linked to immunological, genetic and environmental factors (3). While it is generally accepted that CD is resulted from an altered immune response to the gut microbiota, our knowledge about this contribution is poor (4).
Current data show divergent cytokine patterns among the CD and healthy controls and also between different phases of the disease (5). The imbalance of T helper (Th)1/Th2 subsets and also induction of Th17 cytokines has been implicated in the pathogenesis of CD (6). Microbes and their metabolites can induce high levels of antibody and T cell response in the intestinal tract leading to the secretion of cytokines, such as tumor necrosis factor (TNF)-α and interferon (IFN)-γ, which is correlated with the disease development and exacerbation (7).
Although dysregulation of immune responses in CD has been studied extensively over recent years, data about involvement of microbes in this interplay remains controversial (4). Microbial translocation and shedding of their metabolites into blood is associated with chronic inflammation (8). Interaction of these microbes/metabolites with circulating monocytes and macrophages in the bloodstream could prime them to differentiate into tissue-specific macrophages and dendritic cells.
In healthy people, it is well known that the intestinal mucosal macrophages are involved in tolerance to commensal microbiota that exerts through their anti-inflammatory and anergic state; however, in CD patients it seems that transfer of bacterial components, such as peptidoglycan and endotoxins, from the intestine to the bloodstream can disturb natural maturation cycle of progenitor monocytes leading to the generation immature macrophages (9, 10).
Although understanding exact mechanisms involving the CD immunopathogenesis remain to be elucidated, current study was done to show transcriptional alteration in peripheral blood mononuclear cell (PBMC) during different phases of the disease. Accordingly, transcriptional profile of inflammatory and anti-inflammatory markers (IFN-γ, TNF-α, IL10, and FOXP3 cytokines) was measured in peripheral blood monocytes and macrophages during the flare and remission phases in CD patients in compare to their households. Disease activity index, biological markers of inflammation, and bacteremia were assessed concurrently to show possible links for blood-intestine interaction in these patients.
Materials and Methods
Study design and patients
To compare alterations in the extent of the transcription of common inflammatory and non-inflammatory genes in PBMCs, confirmed Iranian 18–40 years old cases of CD patients based on clinical symptoms, endoscopic and histopathologic characteristics were recruited in the present study from Jun 2019 to Feb 2021 and followed during three months between flare up and remission stages at Tehran university hospitals. Healthy households of the CD patients were considered as control group (11). The disease severity was estimated according to the CD Activity Index (CDAI) defined by Best et al. (12). Based on the CDAI scores, patients were divided in to groups including inactive CD (CDAI < 170 points) and active CD (CDAI > 170 points) (13). Laboratory tests (WBC (white blood cell), CAP (calprotectin), CRP (C reactive protein), ESR (erythrocyte sedimentation rate), Alb (albumin), Hem (hemoglobin) and Hct (hematocrit)) and pathological information were recorded for all patients. Individuals with history of systemic antibiotic administration at least during last three months, hospitalization in last four weeks, pregnant patients, or those who exposed to corticosteroids or anti-inflammatory drugs were excluded.
All patients and healthy controls signed an informed consent form before their inclusion in the investigation. This study was approved by the Ethics Committee at Tehran University of Medical Sciences (IR.TUMS.SPH.REC.1398.060).
Sampling and microbiological analyses
Blood sampling was done two times from all the participants during a three months period. A volume of 20 mL heparinized blood samples was collected, transferred to laboratory immediately after phlebotomy, and divided into two RNase/DNase free tubes to perform blood culture, PBMCs isolation and RNA extraction. Each thioglycolate and tryptic soy broth (TSB) mediums were inoculated by 5 mL of the blood samples and the bottles were placed in the 37 °C incubator under anaerobic and aerobic conditions, respectively. Growth of bacteria in both of the inoculated bottles were followed up to 14 days. Bacterial characterization was done by Gram-staining (directly on blood smears and grown colonies on blood agar and Columbia agar media), and biochemical tests (14).
Isolation of PBMCs
PBMCs were isolated from heparinized peripheral blood by Ficol (Lymphodex Inno -Train, Germany) gradient centrifugation (15). In brief, heparinized blood was diluted with an equal volume of phosphate-buffered saline (PBS), pH 7.4 and 7 mL of diluted blood was layered over 3 mL of the Ficol and centrifuged at 400 × g for 30 min at room temperature. The PBMCs was carefully removed by pipetting and washed with PBS by centrifugation at 250 × g for 5 min. The cells were resuspended in PBS and counted for cell concentration.
RNA extraction and cDNA synthesis
Total RNA was extracted from fresh PBMCs according to the RNX-Plus protocol (SinaClon, Tehran, Iran). The quantity and quality of extracted RNA was assessed using nano drop (Nano Drop™ One Microvolume UV-Vis Spectrophotometers) and gel electrophoresis, respectively. The adjusted concentration of RNA samples treated with DNase I (Thermo Fisher Scientific, Waltham, Massachusetts, United States) was used for cDNA synthesis using thermo scientific revert aid first strand cDNA synthesis kit (Thermo Fisher Scientific, USA) in a reaction primed by a random hexamer according to the manufacture’s instruction.
Relative quantitative real-time PCR
To do relative quantitative real-time PCR, reaction mixture containing 3 μL of template cDNA, 1 μL (10 pM) of forward and reverse primers, 10 ul of SYBR green master mix (Amplicon, Brighton, UK), and 10 μL of sterile distilled water was provided. The StepOnePlusTM real-time PCR System (Applied Biosystems, Foster City, CA, USA) was used to analyze relative difference in transcription of IFN-γ, TNF-α, IL10 and FOXP3 genes (Table 1). Efficacy of the primers and melting curve analyses were done to ensure specific amplification. All the experiments were done in duplicate for all the samples tested. Data analysis was carried out using the 2−ΔΔCT method to evaluate expression level of target genes by normalization to the ActB housekeeping gene. RNA extract of Caco-2 intestinal epithelial cell line (Pasteur Institute of Iran, Iran) was used for optimization of the real time PCR conditions.
Table 1:
The sequences of primers used in relative quantitative real-time PCR for IFN-γ, TNF-α, IL10, FOXP3, and ActB genes
| Gene | Oligonucleotide sequence (5′ to 3′) | Tm (°C) | Amplicon size (bp) | |
|---|---|---|---|---|
| IFN-γ | F | GACTATGCGATGAGCGTGAT | 58.4 | 109 |
| R | CCGTCGTAGTTAGGGATGAA | 58.4 | ||
| TNF-α | F | TGGCGCGATCACGTCAACA | 59.5 | 91 |
| R | TGCACCGCATCCTCCAATC | 59.5 | ||
| IL10 | F | GGAATATTGCACAATGGGCGC | 61.2 | 112 |
| R | CACAAGGGAACGCCTATCTC | 60.5 | ||
| FOXP3 | F | GAAACAGCACATTCCCAGAGTTC | 62.9 | 100 |
| R | ATGGCCCAGCGGATGAG | 57.3 | ||
| actB | F | ATGTGGCCGAGGACTTTGATT | 59.5 | 111 |
| R | AGTGGGGTGGCTTTTAGGATG | 61.2 |
TM; Annealing temperature, bp; Base pair, F; Forward, R; Reverse
Statistical Analysis
Statistical analyses were performed using SPSS version 26 and GraphPad Prism7 software. Correlation between the relative expression values of genes in CD patients and controls was analyzed by Spearman correlation nonparametric test. Gene expression differences during phase 1 and phase 2 of active and inactive patients was analyzed using Wilcoxon test and Kruskal-Wallis test was use to analyze clinical and laboratory findings among the active and inactive groups. A P-value ≤0.05 was considered statistically significant. ClustVis tool was used for principal component analysis and heatmap drawing to show correlation between the disease stages, transcription levels, clinical and laboratory findings.
Results
Activity index and laboratory/clinical findings
In this study, out of 38 recruited patients with IBD, 19 patients (18–40 years old) were selected based on the inclusion and exclusion criteria. Seven (36.8%) and 12 (63.2%) patients were men and women, respectively. In the control group, 10 men (52.6%) and nine women (47.4%) were included (18–65 years old). Based on the activity index scores, all patients were divided into two groups, including eight inactive (CDAI < 170) and 11 active (CDAI > 170) CD patients (Table 2). Erythema, colon involvement, mucosal exudates and ulcer were the most common features found in 18, 17, 16 and 13 patients, respectively. Furthermore, abscess (three patients), granulomatous colitis (two patients), colitis (two patients) and hyper-plasia (one patients) were as the other pathological features detected. The BMI and CAP values, and laboratory test results including WBC, CRP, ESR, Alb, Hem and Hct, are shown in Table 2. Differences of all these tests between inactive and active patients were statistically significant (P values are shown in Table 2) except for BMI, WBC and Alb.
Table 2:
The mean CDAI scores, BMI, CAP values and laboratory tests of 19 Crohn’s disease patients.
| Tests | Disease stage (No. of patients) | P value | |
|---|---|---|---|
|
| |||
| Inactive (8) (mean ± SD) | Active (11) (mean ± SD) | ||
| CDAI | 158.1 ± 10.5 | 243.5 ± 37.9 | 0.00 |
| BMI | 23.7 ± 4.6 | 22.1 ± 4.6 | 0.34 |
| CRP | 6.0 ± 6.8 | 18.1 ± 15.9 | 0.05 |
| CAP | 132.3 ± 148.5 | 709.8 ± 554.6 | 0.01 |
| ESR | 9.9 ± 9.4 | 30.4 ± 17.9 | 0.01 |
| Hem | 13.8 ± 1.1 | 11.7 ± 1.5 | 0.01 |
| Hct | 41.5 ± 3.7 | 35.4 ± 4.5 | 0.01 |
| WBC | 8028.8 ± 2165.5 | 7218.2 ± 1637.6 | 0.36 |
| Alb | 3.7 ± 0.4 | 3.7 ± 0.9 | 0.46 |
Values are mean ± standard deviations (SD). P < 0.05 means statistically significant differences. CDAI; Crohn’s Disease Activity Index, BMI; Body Mass Index, CRP; C Reactive Protein, CAP; Calprotectin, ESR; Erythrocyte Sedimentation Rate, Hem; Hemoglobin, Hct; Hematocrit, WBC; White Blood Cell, Alb; Albumin
Bacterial isolates
Totally, two blood samples (2/19) of CD patients were positive for general cultivable aerobic and anaerobic bacteria. Clostridium spp. was isolated from a female patient with the clinical findings including, ulcer, erythema, colon involvement and mucosal exudates. Streptococcus spp. was isolated from blood of a male with ulcer, colitis, colon involvement and mucosal exudates. Both the patients were in flare period with CDAI of 297 and 265 scores, respectively. There were no positive cultures among the control group.
Alteration in transcription of inflammatory and non-inflammatory genes
Alteration in expression levels of IFN-γ, TNF-α, IL10, and FOXP3 genes in PBMC of CD patients compared with related samples from their households as reference, was measured during three months period (Fig. 1).
Fig. 1:
Expression level of IL-10, TNF-α, IFN-ϒ and FOXP3 genes in Crohn’s disease patients and healthy controls. *; P value < 0.05, **; P value < 0.01
Accordingly, overexpression of IL10, TNF-α and IFN-γ genes was orderly detected in eight, 10 and 11 patients with active disease during phase 1, which declined significantly three months post medication (P values= 0.01, 0.00 and 0.003) respectively (Table 3 and Fig. 1). No significant change in the transcription of IL10, TNF-α, IFN-γ and FOXP3 genes was detected in patients with inactive CD during phase 1 and patients with active and inactive CD during the second phase of sampling. Foxp3 showed expression level equal to the control group during the first and second phases of the follow up except for remission phase of active CD patients (P < 0.01). A correlation was detected between expression level of IL10/TNF-α and IFN-γ that was statistically significant (P < 0.01, Fig. 2).
Table 3:
Gene expression level of 19 Crohn’s disease patients during flare/remission
| Tests | Disease stage (No. of patients) | P value | ||
|---|---|---|---|---|
|
| ||||
| Inactive (8) (mean ± SD) | Active (11) (mean ± SD) | |||
| IL10 | Phase 1 | 1.31 ± 1.03 | 6.36 ± 7.03 | 0.003 |
| Phase 2 | 0.78 ± 1.1 | 0.99 ± 1.32 | 0.2 | |
| TNF-α | Phase 1 | 1.59 ± 1.33 | 4.69 ± 3.08 | 0.004 |
| Phase 2 | 0.95 ± 0.82 | 0.81 ± 0.81 | 0.5 | |
| IFN-ϒ | Phase 1 | 1.14 ± 1.01 | 6.78 ± 4.62 | 0.003 |
| Phase 2 | 1.28 ± 1.45 | 1.18 ± 0.78 | 0.8 | |
| Foxp3 | Phase 1 | 1.09 ± 0.32 | 1.04 ± 0.34 | 0.1 |
| Phase 2 | 0.91 ± 0.18 | 1.51 ± 0.57 | 0.008 | |
Values are means ± standard deviations (SD). Data represent units obtained with the RT-qPCR normalized to actB. P < 0.05 means statistically significant differences
Fig. 2:
Heatmap illustration of correlation between the gene expression levels with disease stages, clinical and laboratory findings among the 19 Crohn’s disease patients. Columns were labeled with P1-P19 showing 19 patients. 12 bottom rows show the expression level of all IL10, TNF-α, IFN-γ and FOXP3 genes during phase 1 and 2 when compared to the controls and each other. Nine top rows demonstrate the clinical and laboratory findings. CD scores; Crohn’s Disease Activity Index, CAP; Calprotectin, WBC; White Blood Cell, CRP; C Reactive Protein, ESR; Erythrocyte Sedimentation Rate, Alb; Albumin, Hem; Hemoglobin, Hct; Hematocrit
Correlation of transcription level of all genes with the disease stages, clinical and laboratory findings are shown in Figure 2. Eight out of 11 active patients were classified in a same cluster and the remained three active patients were placed in two different clusters among inactive patients based on the lower expression levels of the studied genes. The alteration detected in gene expression level was positively correlated with disease stage, CAP, CRP, ESR levels; however, a negative correlation was detected in relation to Hem and Hct values.
Discussion
This study demonstrates that increased CAP, CRP and ESR better correlates with the Crohn’s disease activity than blood leukocytes (WBC) and albumin. In accordance to our results, discrimination of disease severity using fecal calprotectin have already shown in several studies (16, 17). However, CRP and ESR were also significantly increased in active patients, but the role of CRP was not very noticeable to reflect disease stage as reported by Langhorst et al. (17). In addition, hemoglobin and hematocrit were negatively correlated with disease severity in our patients. This could explained by the bloody diarrhea and bleeding that were known as symptoms characterize the Crohn’s disease (2). Dysbiosis of the intestinal microbiota is considered as an important risk factor in CD onset through a dysregulated mucosal immune response (18). Different aerobic and anaerobic bacterial species are reported in association to the CD occurrence in IBD patients (19, 20). In current study, Clostridium and Streptococci genera were the only two bacterial isolates characterized in blood culture of two patients in active phase of the disease. These patients showed increased expression of IFN-γ, TNF-α and IL10 genes in the early stage (> 2 folds) and this expression was greater than culture negative patients except in two of them for IFN-γ and IL10 genes and one patient for TNF-α. However, values of other markers such as CRP, ESR and CAP were not significantly higher than those with negative blood culture. Although the transcription of IFN-γ and IL10 remained high during the remission in patient with Clostridium spp. infection, reduction of TNF-α transcription was seen after medication during the remission. As for the Streptococcus spp. positive patient, the only gene that remained overexpressed during remission was TNF-α (> 2 folds). As Clostridium spp. and Streptococcus spp., it previously demonstrated that Gram-positive bacteria could able to trigger monocytes and macrophages, major producers of inflammatory cytokines like TNF-α (21). Incidence of bacterial species in blood samples of CD patients were also reported previously. Mycobacterium avium paratuberculosis (MAP) was reported from blood of 47% (9/19) CD patients by Chamberlin et al. (22). They concluded that MAP infection in CD patients may be causative or secondary and this is consistent with what is known about the genetic risk factors of CD (susceptibility of immunodeficient people to MAP infection and CD). In a study, Clostridium difficile infection and bacteremia with multidrug-sensitive Escherichia coli was reported from CD patients (23). First bacteremia case due to C. difficile in a CD patient was reported (24). They reviewed the literature for previously reported cases and concluded that C. difficile bacteremia is associated with a significant mortality rate and need aggressive antibiotic therapy (24). Thus, in accordance to previous investigations, our findings support the role of bacterial infection in CD patients.
Our results showed a significantly higher expression level of TNF-α and IFN-γ in CD patients in comparison to the healthy controls. This finding was consistent with previous studies and indicated production of a higher levels of proinflammatory cytokines from PBMC among patients with CD, demonstrated a close association with the disease activity (25). Elevated expression of TNF-α and IFN-γ genes was observed in 91% (10/11) and 73% (8/11) of the patients with active CD during the flare phase, respectively (≥ 2 folds), respectively, while 20% (2/10) and 12.5% (1/8) of the patients showed overexpression of these two genes during the remission phase. In a study, higher serum level of TNF-α was reported in 100% of CD patients with the active stage. They demonstrated increased level of TNF-α production by PBMCs in the presence of lipopolysaccharide (LPS), as a marker of endotoxemia, among IBD patients in comparison to healthy ones (26). A significantly higher serum level of IFN-γ in patients with active Crohn’s disease than those in inactive form or healthy controls was demonstrated in Japan (27). These authors concluded that the elevated IFN-γ in sera of Crohn’s disease patients may be related to the immune reaction that could be originated from the inflammation in the intestine (27). Therefore, imbalance of immunity and production of proinflammatory cytokines by PBMCs (outside of the inflammation site) may have a pathological meaning in IBD patients and correlate with disease activity. In the case of anti-inflammatory cytokines, significantly higher transcription of IL10 was recorded in the flare phase of active CD patients than in the remission phase. This difference was mainly related to 4 patients that showed >10 folds increase in expression level of IL10 gene during the flares. In fact, normal and higher levels of IL10 were detected in targeting CD patients as demonstrated previously (28, 29). This inconsistency could be result of variations in age, severity of disease and commensal flora tolerance (30). Impaired IL10 production has been reported in other studies on severe cases of CD patients (31). In a study by Lindsay J et al., increased numbers of IL10 producing PBMCs were shown during inflammation in patients with CD (32). Although there were no noticeable changes in Foxp3 transcription of our subjects when inactive CD patients compared to the control group, statistically significant differences in Foxp3 gene expression between phase 1 and 2 of active patients were recorded, where three out of 11 active CD patients showed more than 2 folds expression during remission. The increasing level of FoxP3 transcription could be due to the change in the amount of Treg sub-population in PBMCs or its activity during the remission phase (33). Similar to our study, Wang et al. showed elevated Foxp3 mRNA and the protein in the inflamed mucosa of patients with active CD compared with the healthy controls (34). The lack of intestinal specimens was one of the limitations of our investigation and further studies are needed to better correlate these findings from the blood samples with the intestinal specimens of CD patients.
Conclusion
CAP, CRP and ESR results were positively correlated with disease activity and negative correlation was found for Hem/Hct values. Significant differences in gene expression of IFN-γ, TNF-α and IL10 were detected during phase 1 active CD and these differences were significant when active patients were compared to inactive patients. IL10 transcription showed normal and elevated levels in active patients which can indicate the simultaneous regulatory T cell activation and tolerance responses. Active patients showed increased anti-inflammatory response (Foxp3) during follow-up period. Increased inflammatory and anti-inflammatory responses were demonstrated in patients with bacteremia. Further studies are needed to show possible role of bacteremia as a noticeable complication in exacerbation of CD.
Journalism Ethics considerations
Ethical issues (Including plagiarism, informed consent, misconduct, data fabrication and/or falsification, double publication and/or submission, redundancy, etc.) have been completely observed by the authors.
Acknowledgements
This study was supported by Tehran University of Medical Sciences (Grant No: 41797).
Footnotes
Conflict of interest
The authors declared no conflict of interest.
References
- 1.Martinez-Fierro ML, Garza-Veloz I, Rocha-Pizaña MR, et al. (2019). Serum cytokine, chemokine, and growth factor profiles and their modulation in inflammatory bowel disease. Medicine (Baltimore), 98 (38): e17208. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Kojima A, Nakano K, Wada K, et al. (2012). Infection of specific strains of Streptococcus mutans, oral bacteria, confers a risk of ulcerative colitis. Sci Rep, 2:332. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Rolfe VE, Fortun PJ, Hawkey CJ, et al. (2006). Probiotics for maintenance of remission in Crohn’s disease. Cochrane Database Syst Rev, (4): Cd004826. [DOI] [PubMed] [Google Scholar]
- 4.Reuter BK, Pizarro TT. (2004). Commentary: the role of the IL-18 system and other members of the IL-1R/TLR superfamily in innate mucosal immunity and the pathogenesis of inflammatory bowel disease: friend or foe? Eur J Immunol, 34 (9): 2347–55. [DOI] [PubMed] [Google Scholar]
- 5.Deretic V. (2009). Links between autophagy, innate immunity, inflammation and Crohn’s disease. Dig Dis, 27 (3): 246–251. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Radford-Smith G, Jewell DP. (1996). Cytokines and inflammatory bowel disease. Baillieres Clin Gastroenterol, 10 (1): 151–64. [DOI] [PubMed] [Google Scholar]
- 7.Fais S, Capobianchi MR, Pallone F, et al. (1991). Spontaneous release of interferon gamma by intestinal lamina propria lymphocytes in Crohn’s disease. Kinetics of in vitro response to interferon gamma inducers. Gut, 32 (4): 403–407. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Alzahrani J, Hussain T, Simar D, et al. (2019). Inflammatory and immunometabolic consequences of gut dysfunction in HIV: Parallels with IBD and implications for reservoir persistence and non-AIDS comorbidities. EBioMedicine, 46: 522–531. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Caër C, Wick MJ. (2020). Human Intestinal Mononuclear Phagocytes in Health and Inflammatory Bowel Disease. Front Immunol, 11: 410. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Buttó LF, Schaubeck M, Haller D. (2015). Mechanisms of Microbe-Host Interaction in Crohn’s Disease: Dysbiosis vs. Pathobiont Selection. Front Immunol, 6: 555. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Witte AM, Veenendaal RA, Van Hogezand RA, et al. (1998). Crohn’s disease of the upper gastrointestinal tract: the value of endoscopic examination. Scand J Gastroenterol Suppl, 225: 100–5. [DOI] [PubMed] [Google Scholar]
- 12.Best WR, Becktel JM, Singleton JW, et al. (1976). Development of a Crohn’s disease activity index. National Cooperative Crohn’s Disease Study. Gastroenterology, 70 (3): 439–44. [PubMed] [Google Scholar]
- 13.Durko L, Stasikowska-Kanicka OA, Wagrowska-Danilewicz M, et al. (2013). An analysis of the correlation of clinical, endoscopic and histological classifications in Crohn’s disease. Prz Gastroenterol, 8 (6): 377–82. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Scott E. (1951). A practical blood culture procedure. Am J Clin Pathol, 21 (3): 290–4. [DOI] [PubMed] [Google Scholar]
- 15.Fuss IJ, Kanof ME, Smith PD, et al. (2009). Isolation of whole mononuclear cells from peripheral blood and cord blood. Curr Protoc Immunol, 7:Unit7.1. [DOI] [PubMed] [Google Scholar]
- 16.Schoepfer AM, Beglinger C, Straumann A. (2010) et al. Fecal calprotectin correlates more closely with the Simple Endoscopic Score for Crohn’s disease (SES-CD) than CRP, blood leukocytes, and the CDAI. Am J Gastroenterol, 105 (1): 162–9. [DOI] [PubMed] [Google Scholar]
- 17.Langhorst J, Elsenbruch S, Koelzer J, et al. (2008). Noninvasive markers in the assessment of intestinal inflammation in inflammatory bowel diseases: performance of fecal lactoferrin, calprotectin, and PMN-elastase, CRP, and clinical indices. Am J Gastroenterol, 103 (1): 162–9. [DOI] [PubMed] [Google Scholar]
- 18.Nell S, Suerbaum S, Josenhans C. (2010). The impact of the microbiota on the pathogenesis of IBD: lessons from mouse infection models. Nat Rev Microbiol. 8 (8): 564–77. [DOI] [PubMed] [Google Scholar]
- 19.Keighley M, Eastwood D, Ambrose N, et al. (1982). Incidence and microbiology of abdominal and pelvic abscess in Crohn’s disease. Gastroenterology, 83 (6): 1271–5. [PubMed] [Google Scholar]
- 20.Peach S, Lock M, Katz D, et al. (1978). Mucosal-associated bacterial flora of the intestine in patients with Crohn’s disease and in a control group. Gut, 19 (11): 1034–42. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Nakanishi Y, Sato T, Ohteki T. (2015). Commensal Gram-positive bacteria initiates colitis by inducing monocyte/macrophage mobilization. Mucosal Immunology, 8 (1): 152–160. [DOI] [PubMed] [Google Scholar]
- 22.Chamberlin W, Naser SA. (2008). Blood cultures of 19 Crohn’s disease patients. Am J Gastroenterol, 103 (3): 802–3. [DOI] [PubMed] [Google Scholar]
- 23.Quera R, Espinoza R, Estay C, et al. (2014). Bacteremia as an adverse event of fecal microbiota transplantation in a patient with Crohn’s disease and recurrent Clostridium difficile infection. J Crohns Colitis, 8 (3): 252–3. [DOI] [PubMed] [Google Scholar]
- 24.Daruwala C, Mercogliano G, Newman G, et al. (2009). Bacteremia due to Clostridium difficile: case report and review of the literature. Clin Med Case Rep, 2: 5–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Ogawa K, Matsumoto T, Esaki M, et al. (2012). Profiles of circulating cytokines in patients with Crohn’s disease under maintenance therapy with infliximab. J Crohn’s Colitis, 6 (5): 529–35. [DOI] [PubMed] [Google Scholar]
- 26.Maeda M, Watanabe N, Neda H, et al. (1992). Serum tumor necrosis factor activity in inflammatory bowel disease. Immunopharmacol Immunotoxicol, 14 (3): 451–61. [DOI] [PubMed] [Google Scholar]
- 27.Sasaki T, Hiwatashi N, Yamazaki H, et al. (1992). The role of interferony in the pathogenesis of Crohn’s disease. Gastroenterol Jpn, 27 (1): 29–36. [PubMed] [Google Scholar]
- 28.Nielsen O, Køppen T, Rüdiger N, et al. (1996). Involvement of interleukin-4 and-10 in inflammatory bowel disease. Digestive Diseases and Sciences, 41 (9): 1786–1793. [DOI] [PubMed] [Google Scholar]
- 29.Kucharzik T, Stoll R, Lügering N, et al. (1995). Circulating antiinflammatory cytokine IL-10 in patients with inflammatory bowel disease (IBD). Clin Exp Immunol, 100 (3): 452–6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Marlow GJ, van Gent D, Ferguson LR. (2013). Why interleukin-10 supplementation does not work in Crohn’s disease patients. World J Gastroenterol, 19 (25): 3931–3941. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Salas A. (2009). Defective IL-10 production in severe phenotypes of Crohn’s. J Leukoc Biol, 85(5):896–903. [DOI] [PubMed] [Google Scholar]
- 32.Lindsay J, Hodgson H. (2001). The immunoregulatory cytokine interleukin-10—a therapy for Crohn’s disease? Aliment Pharmacol Ther, 15 (11): 1709–16. [DOI] [PubMed] [Google Scholar]
- 33.Negi S, Saini S, Tandel N, et al. (2021). Translating Treg Therapy for Inflammatory Bowel Disease in Humanized Mice. Cells, 10 (8): 1847. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Wang Y, Liu XP, Zhao ZB, et al. (2011). Expression of CD4+ forkhead box P3 (FOXP3)+ regulatory T cells in inflammatory bowel disease. J Dig Dis, 12 (4): 286–94. [DOI] [PubMed] [Google Scholar]


