Outcomes and prediction of corticosteroid therapy after successive courses of ulcerative colitis treatments

Expression of MMP-2, MMP-7, MMP-9, and TIMP-1 by Inflamed Mucosa in the Initial Diagnosis of Ulcerative Colitis as a Response Marker for Conventional Medical Treatment

INTRODUCTION

Experimental and clinical data involve matrix metalloproteases (MMPs) and their tissue inhibitors (TIMPs) in the pathogenesis of inflammatory bowel diseases. However, the impact of MMPs/TIMPs expression by inflamed mucosa on medical response therapy has scarcely been investigated.

METHODS

The expression of MMP-2, MMP-7, MMP-9, and TIMP-1 was determined by immunohistochemical analysis in inflamed mucosa samples at diagnosis in 82 patients with ulcerative colitis (UC; 22 never-treated with corticosteroids, 28 nonresponders, and 32 responders to corticosteroid therapy) and 15 patients with acute diverticulitis (AD). The global expression (score value) of each factor was analyzed by computer-generated image analysis.

RESULTS

UC samples showed higher MMP-2 and MMP-9 expression but lower TIMP-1 expression than the AD samples (p < 0.0001, for all). High MMP-9 and TIMP-1 scores were significantly associated with no need for corticosteroid treatment (p < 0.001 and p = 0.017, respectively); whereas higher score in the MMP-7 expression was significantly associated with nonresponse to corticosteroid therapy (p = 0.037). In addition, in this latter UC subgroup, MMP-7 correlated positively with the younger age of the patients and with the extension of the disease (p = 0.030 and p = 0.010, respectively).

CONCLUSION

Our results suggest the relevance of MMPs and TIMPs for predicting treatment response to both 5-aminosalicylates and corticosteroids in UC.

Increased SERPINA3 Level Is Associated with Ulcerative Colitis

Ulcerative colitis (UC) is a recurrent, chronic intestinal disease that is currently incurable. Its pathogenesis remains to be further understood. Therefore, seeking new biomarkers and potential drug targets is urgent for the effective treatment of UC. In this study, the gene expression profile GSE38713 was obtained from the GEO (Gene Expression Omnibus) database. Data normalisation and screening of the differentially expressed genes (DEGs) were conducted using R software, and gene ontology (GO) enrichment was performed using Metascape online tools. The PubMed database was used to screen new genes that have not been reported, and SERPINA3 was selected. The correlation between SERPINA3 and other inflammatory factors was analysed by Spearman correlation analysis. Finally, colitis model mice and an in-vitro model were established to validate the function of the SERPINA3 gene. SERPINA3 gene expression was markedly increased in UC patient samples, colitis models and in-vitro models and showed an association with other inflammatory factors. ROC analysis indicated that SERPINA3 could represent a potential biomarker of active UC. Additionally, silencing SERPINA3 in an in-vitro intestinal epithelial inflammatory model significantly decreased the mRNA level of inflammatory factors. This study provides supportive evidence that SERPINA3 may act as a key biomarker and potential drug target in UC treatment.

Prediction of outcome of treatment of acute severe ulcerative colitis using principal component analysis and artificial intelligence

Background and Aim

About 15% patients with acute severe ulcerative colitis (UC) fail to respond to medical treatment and may require colectomy. An early prediction of response may help the treating team and the patients and their family to prepare for alternative treatment options.

Methods

Data of 263 patients (mean age 37.0 ± 14.0-years, 176, 77% male) with acute severe UC admitted during a 12-year period were used to study predictors of response using univariate analysis, multivariate linear principal component analysis (PCA), and nonlinear artificial neural network (ANN).

Results

Of 263 patients, 231 (87.8%) responded to the initial medical treatment that included oral prednisolone (n = 14, 5.3%), intravenous (IV) hydrocortisone (n = 238, 90.5%), IV cyclosporine (n = 9, 3.4%), and inflixmab (n = 2, 0.7%), and 28 (10.6%) did not respond and the remaining 4 (1.5%) died, all of whom did were also nonresponders. Nonresponding patients had to stay longer in the hospital and died more often. On univariate analysis, the presence of complications, the need for use of cyclosporin, lower Hb, platelets, albumin, serum potassium, and higher C-reactive protein were predictors of nonresponse. Hb and albumin were strong predictive factors on both PCA and ANN. Though the nonlinear modeling using ANN had a good predictive accuracy for the response, its accuracy for predicting nonresponse was lower.

Conclusion

It is possible to predict the response to medical treatment in patients with UC using linear and nonlinear modeling technique. Serum albumin and Hb are strong predictive factors.

Network Pharmacology-Based Investigation into the Mechanisms of Quyushengxin Formula for the Treatment of Ulcerative Colitis

Objective

Ulcerative colitis (UC) is a chronic idiopathic inflammatory bowel disease whose treatment strategies remain unsatisfactory. This study aims to investigate the mechanisms of Quyushengxin formula acting on UC based on network pharmacology.

Methods

Ingredients of the main herbs in Quyushengxin formula were retrieved from the Traditional Chinese Medicine Systems Pharmacology (TCMSP) database. Absorption, distribution, metabolism, and excretion properties of all ingredients were evaluated for screening out candidate bioactive compounds in Quyushengxin formula. Weighted ensemble similarity algorithm was applied for predicting direct targets of bioactive ingredients. Functional enrichment analyses were performed for the targets. In addition, compound-target network, target-disease network, and target-pathway network were established via Cytoscape 3.6.0 software.

Results

A total of 41 bioactive compounds in Quyushengxin formula were selected out from the TCMSP database. These bioactive compounds were predicted to target 94 potential proteins by weighted ensemble similarity algorithm. Functional analysis suggested these targets were closely related with inflammatory- and immune-related biological progresses. Furthermore, the results of compound-target network, target-disease network, and target-pathway network indicated that the therapeutic effects of Quyushengxin on UC may be achieved through the synergistic and additive effects.

Conclusion

Quyushengxin may act on immune and inflammation-related targets to suppress UC progression in a synergistic and additive manner.

Early Response to Corticosteroid and Baseline C-Reactive Protein Predicts Outcomes in Children with Moderate to Severe Ulcerative Colitis

BACKGROUND

Initial response to corticosteroids (CS) is recognized as a strong predictor of outcomes in ulcerative colitis (UC).

AIM

To compare outcomes of early poor responders (PR) versus good responders (GR) to initial CS at 1, 2, and 3 years from diagnosis.

METHODS

In this retrospective study, we report longitudinal outcomes of children with moderate-severe UC, initiating oral/IV CS < 1 month of diagnosis and a minimum follow-up (FU) of 1 year. CS resistance (CSR) and CS dependency (CSD) were combined as PR, and those with CS-free remission (CSFR) at 6 months were GR.

RESULTS

Of 116 children with UC, 76 (33 males) fulfilled study criteria. Median age at diagnosis was 12 years (IQR 12-14), and a median FU was 48 months (IQR 27-65). Thirty-five (46%, CSR = 10, CSD = 25) were PR, and 41 (54%) were GR. Mean relapse (2.39 vs. 1.1, p = 0.0009), acute severe UC flare-up (40% vs. 9.7%, p = 0.002), and colectomy rates (34.2% vs. 2.4%) were greater in PR versus GR, despite frequent early (< 6 months) use of azathioprine (74% vs. 27%, p = 0.004) and anti-TNFs (43% vs. 2.4%, p = 0.0001). Cumulative colectomy at 3 years was lowest in those with GR versus CSD and CSR (2.4% vs. 28% and 50% p = 0.001). On univariate analysis, CRP > 20 mg/L at diagnosis, Mayo Clinical Score > 1 at 3 months, and PR predicted colectomy. On multivariate regression, only baseline CRP > 20 mg/L predicted colectomy (HR 4.9, p = 0.03).

CONCLUSIONS

Baseline CRP and poor response to initial CS are associated with unfavorable outcomes in children with UC.