Next Article in Journal
An Overview of Circulating Cell-Free Nucleic Acids in Diagnosis and Prognosis of Triple-Negative Breast Cancer
Previous Article in Journal
MicroRNAs Associated with Chronic Kidney Disease in the General Population and High-Risk Subgroups—A Systematic Review
Previous Article in Special Issue
MicroRNAs in T Cell-Immunotherapy
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
IJMS
Volume 24
Issue 2
10.3390/ijms24021797
ijms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Association between HLA DNA Variants and Long-Term Response to Anti-TNF Drugs in a Spanish Pediatric Inflammatory Bowel Disease Cohort

by
Sara Salvador-Martín
1,†,
Paula Zapata-Cobo
1,†,
Marta Velasco
2,
Laura M. Palomino
2,
Susana Clemente
3,
Oscar Segarra
3,
Cesar Sánchez
1,
Mar Tolín
1,
Ana Moreno-Álvarez
4,
Ana Fernández-Lorenzo
4,
Begoña Pérez-Moneo
5,
Inés Loverdos
6,
Victor Manuel Navas López
7,
Antonio Millán
8,
Lorena Magallares
9,
Ricardo Torres-Peral
10,
Ruth García-Romero
11,
Gemma Pujol-Muncunill
12,
Vicente Merino-Bohorquez
13,
Alejandro Rodríguez
14,
Enrique Salcedo
15,
Beatriz López-Cauce
1,
Ignacio Marín-Jiménez
1,16,
Luis Menchén
1,16,
Emilio Laserna-Mendieta
17,18,
Alfredo J. Lucendo
17,
María Sanjurjo-Sáez
1 and
Luis A. López-Fernández
1,*add Show full author list remove Hide full author list
1
Instituto de Investigación Sanitaria Gregorio Marañón, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain
2
Hospital Universitario Infantil Niño Jesús, 28009 Madrid, Spain
3
Hospital Vall d’Hebrón, 08035 Barcelona, Spain
4
Hospital Universitario A Coruña, 15006 A Coruña, Spain
5
Hospital Universitario Infanta Leonor, 28031 Madrid, Spain
6
Hospital Universitario Parc Taulí, 08208 Sabadell, Spain
7
Hospital Regional Universitario de Málaga, 29011 Málaga, Spain
8
Hospital Universitario Virgen de Valme, Universidad de Sevilla, 41014 Sevilla, Spain
9
Hospital Universitario la Paz, 28046 Madrid, Spain
10
Complejo Asistencial Universitario de Salamanca, 37007 Salamanca, Spain
11
Hospital Universitario Miguel Servet, 50009 Zaragoza, Spain
12
Servicio de Gastroenterología, Hepatología y Nutrición Pediátrica, Hospital Sant Joan de Dèu, 08950 Barcelona, Spain
13
Hospital Universitario Virgen de la Macarena, 41009 Sevilla, Spain
14
Hospital Universitario Virgen del Rocio, 41013 Sevilla, Spain
15
Hospital Universitario Doce de Octubre, 28041 Madrid, Spain
16
Departamento de Medicina, Facultad de Medicina, Universidad Complutense, 28040 Madrid, Spain
17
Departamento of Gastroenterología, Hospital General de Tomelloso, Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Instituto de Investigación Sanitaria de Castilla-La Mancha (IDISCAM), 28029 Madrid, Spain
18
Instituto de Investigación Sanitaria La Princesa, 28006 Madrid, Spain
 
add Show full affiliation list
 
remove Hide full affiliation list
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Int. J. Mol. Sci. 2023, 24(2), 1797; https://doi.org/10.3390/ijms24021797
Submission received: 2 December 2022 / Revised: 2 January 2023 / Accepted: 11 January 2023 / Published: 16 January 2023
(This article belongs to the Special Issue State-of-the-Art Molecular Immunology in Spain)
Browse Figures
Review Reports Versions Notes

Abstract

:
The genetic polymorphisms rs2395185 and rs2097432 in HLA genes have been associated with the response to anti-TNF treatment in inflammatory bowel disease (IBD). The aim was to analyze the association between these variants and the long-term response to anti-TNF drugs in pediatric IBD. We performed an observational, multicenter, ambispective study in which we selected 340 IBD patients under 18 years of age diagnosed with IBD and treated with anti-TNF drugs from a network of Spanish hospitals. Genotypes and failure of anti-TNF drugs were analyzed using Kaplan-Meier curves and Cox logistic regression. The homozygous G allele of rs2395185 and the C allele of rs2097432 were associated with impaired long-term response to anti-TNF drugs in children with IBD after 3 and 9 years of follow-up. Being a carrier of both polymorphisms increased the risk of anti-TNF failure. The SNP rs2395185 but not rs2097432 was associated with response to infliximab in adults with CD treated with infliximab but not in children after 3 or 9 years of follow-up. Conclusions: SNPs rs2395185 and rs2097432 were associated with a long-term response to anti-TNFs in IBD in Spanish children. Differences between adults and children were observed in patients diagnosed with CD and treated with infliximab.

1. Introduction

Inflammatory bowel disease (IBD) comprises a group of immune-mediated diseases (Crohn’s disease (CD), ulcerative colitis (UC), indeterminate colitis (IC)) that debut in childhood in approximately 25% of cases [1]. Nevertheless, most research on this illness has been performed in adults. The aim of IBD treatment is to control symptoms and promote mucosal or even transmural healing, as assessed using imaging techniques and non-invasive biomarkers. Treatment includes aminosalicylates, corticosteroids, and immunomodulatory biological drugs [2]. One of the differences between pediatric and adult IBD is that biological drugs are used earlier in children [3,4]. The anti-tumor necrosis factor (anti-TNF) drugs infliximab (IFX) and adalimumab (ADL) are the only biological drugs approved for pediatric IBD. However, the response to these drugs is not universal: 2–9% of patients do not achieve a primary response, and 15–25% fail to achieve clinical remission after 1 year of treatment [5].
Most studies aim to identify patients at risk of failure of anti-TNF therapy. Clinical, biochemical, and genomic variations have been reported to be associated with the response to anti-TNF drugs [6]. Serum anti-TNF trough levels, antidrug antibody generation, fecal calprotectin, age at diagnosis, and type of IBD are associated with the response to biological drugs [7,8,9].
Identifying patients who are highly likely to achieve a long-term response may be extremely relevant for the treating physician. Unlike other markers, genetic variants could be very useful for predicting which patients will respond to therapy before initiation. Several single-nucleotide variants can predict the response to anti-TNF agents in children with IBD [4]. However, evidence in favor of the use of these biomarkers in clinical practice remains insufficient.
Major histocompatibility complex proteins are essential in the activation of the immune system and are encoded by the human leukocyte antigen (HLA), a group of more than 200 genes located closely together on the short arm of chromosome 6. DNA variants in HLA genes have also been associated with the response to anti-TNF agents in other inflammatory diseases, such as psoriasis [10,11] and rheumatoid arthritis [12]. In IBD, 2 variants in HLA genes (rs2097432 and rs2395185) have been associated with response to anti-TNF drugs. The SNP rs2097432 C, which initially correlated with HLA-DQA1*05, predicts anti-IFX antibody formation and loss of response in adults with IBD [13], and antidrug antibodies to IFX and ADL in patients aged 6 years or older with CD [14]. Antidrug antibody formation is one of the most relevant laboratory parameters driving switches in biological treatment. Despite this limited evidence, rs2097432 is beginning to be genotyped in clinical practice in several hospitals for both adults and children diagnosed with IBD. The SNP rs2395185 G, an intronic variant in HLA-DRB9, was also associated with the risk of IBD and primary non-response to IFX in a small group of patients with IBD and with an age at diagnosis < 21 years [15].
The objectives of this study were to explore the association between 2 SNPs in MHC class II, rs2395185 and rs2097432, and long-term response to anti-TNF drugs in children with IBD and compare this association with a Spanish adult population of CD patients.

2. Results

2.1. Patients

A total of 340 children diagnosed with IBD were recruited and followed for up to 9 years (Table 1). Most patients were male (60.3%), had CD (70.5%), were biological drug-naïve (93.5%), and had received IFX (67.1%). In addition, most were in combination therapy with an immunosuppressant (86.7%). At the end of follow-up, anti-TNF therapy failed in 70 patients. Comparison of patients whose anti-TNF treatment failed with those whose therapy did not reveal statistically significant differences between both populations for type of IBD and line of biological treatment (p value 0.012 and 0.001, respectively).
A population of adults diagnosed with CD and treated with IFX was used to compare the results obtained with these 2 SNPs in children (Table 2). The cohort was followed for up to 9 years. The only statistically significant difference between the failure and non-failure of anti-TNF therapy in adults was for combination therapy.

2.2. Genotyping and Frequencies

Genotyping was successful in both rs2395185 and rs2097432, although genotyping of rs2097432 using a TaqMan probe was unsuccessful in 17 children. Subsequent Sanger sequencing classified these patients as homozygous wild type.
Hardy-Weinberg equilibrium (HWE) was analyzed for deviations in genotype frequency. The observed genotype frequencies in rs2097432 were not consistent with HWE. The frequency of the reference G allele for SNP rs2395185 was 0.69, while the frequency of the reference T allele for rs2097432 was 0.67. These frequencies were consistent with those observed in the Genome Aggregated Database (gnomAD) in the most similar population (European non-Finnish) (0.7101 and 0.6262, respectively) [16].
The linkage disequilibrium study showed that the heritability of both SNPs was high (D’ = 0.9443). However, the degree of correlation was low (R2 = 0.1482).

2.3. Association of rs2097432 with Response to Anti-TNF Drugs

The rs2097432 C allele was associated with the long-term failure of anti-TNF drugs in a univariate analysis. Carriers of the rs2097432 C allele had a greater risk of failure during the 9 years of follow-up (p value 0.028) (Figure 1a). This association was maintained after a multivariate logistic regression analysis (hazard ratio (HR), 1.770; 95% CI, 1.100–2.848; p value 0.019), where type of IBD and type of anti-TNF drug were also independent variables associated with response (HR, 2.235; 95% CI, 1.363–3.666; p value 0.001; and HR, 1.7; 95% CI, 1.018–2.777; p value 0.043, respectively). A non-statistically significant trend was also observed after a follow-up to 3 years (p value 0.058) (Figure 1b). This became statistically significant after a multivariate logistic regression analysis (HR 1.693; 95% CI, 1.014–2.825; p value 0.044). In addition, the time to failure was shorter for children carrying the C allele than for those who did not (9.13 versus 13.7 months).
Since the type of IBD and type of anti-TNF were independently associated with the long-term response to anti-TNF therapy, new analyses using Kaplan-Meier curves were performed for children diagnosed with CD or UC and those treated with IFX or ADL. When the cohort of children was separated by type of IBD, rs2097432 maintained its association with long-term response in those diagnosed with CD (p value 0.026) (Figure 1c), but not in those diagnosed with UC (p value 0.353) (Figure 1d). This association was maintained after multivariate analysis (HR, 2.068; 95% CI, 1.071–3.994; p value 0.030).
When the cohort was analyzed based on the anti-TNF drug used, the association between this SNP and the response to the anti-TNF drug was lost in children treated with IFX and in those treated with ADL (p value 0.252 and p value 0.055, respectively) (Figure 1e,f). However, after multivariate analysis, the association of ADL with response became statistically significant (HR, 2.319; 95% CI, 1.022–5.260; p value 0.044). This trend was not evident during the first 2 years of treatment.

2.4. Association between rs2395185 and Response to Anti-TNF Drugs

The univariate analysis showed the rs2395185 G allele to be associated with long-term failure of anti-TNF drugs. Carriers of the T rs2395185 allele were at a lower risk of failure after a follow-up of 9 years (p value 0.035) (Figure 2a). This association was maintained in a multivariate logistic regression analysis (HR, 0.599; 95% CI, 0.368–0.975; p value 0.039), both for type of IBD (CD reference vs. UC), and anti-TNF treatment (IFX reference vs. ADL) (HR, 2.070; 95% CI, 1.269–3.376; p value 0.004 and HR, 1.742; CI 95%, 1.057–2.872; p value 0.030, respectively). This association was also observed after a follow-up to 3 years (p value 0.044) (Figure 2b), although statistically, significance was lost in the multivariate logistic regression analysis (HR 0.603; 95% CI, 0.355–1.024; p value 0.061). In addition, the time to failure was larger for children carrying the T allele than for those who did not (16.0 versus 9.16 months).
When the cohort of children was separated by type of IBD, rs2395185 lost the association with long-term response in those diagnosed with CD (Figure 2c), those with UC (Figure 2d), and those treated with IFX or ADL (Figure 2e,f). However, in all cases, a trend toward loss of response with anti-TNFs was observed in GG patients.

2.5. Haplotypes of rs2395185 and rs2097432 with Response to Anti-TNF Drugs

The putative effect on the anti-TNF drug response of the haplotypes of these 2 SNPs was also studied. Since rs2097432 CC or CT and rs2395185 GG are risk genotypes for anti-TNF failure, we defined three risk groups by haplotype (Table 3).
Clinical characteristics of pediatric patients classified according to their haplotypes and risk of failure of anti-TNF drug showed, as expected, a higher percentage of failure and a shorter time from treatment initiation to failure in high-risk haplotypes, although the last variable was not statistically significant (Table S1).
The univariate analysis showed a statistically significant association with risk of failure when comparing low-risk versus medium- or high-risk groups (p value 0.022) (Figure 3a). This association was significant after multiple Cox multivariate regression (HR, 2.079; 95% CI, 1.170–3.694; p value 0.013).
The association became more significant with the higher risk groups we considered. Lower rates of failure were observed in patients with low-risk haplotypes than in medium-risk or high-risk haplotypes (p value 0.006) (Figure 3b). This association was also significant after multiple Cox multivariate regression (HR, 2.409; 95% CI, 1.282–4.527; p value 0.006).

2.6. Comparison of Children with Adults with Crohn’s Disease and Treated with IFX

Our cohort of adults diagnosed with CD enabled us to analyze and compare the association between rs2097432 (Figure 4) and rs2395185 (Figure 5) using Kaplan-Meier curves and the long-term response to IFX in adults and children with CD. The SNP rs2097432 was not associated with failure of IFX in adults with CD when the follow-up period was 9 years (p value 0.246), or when it was 3 years (p value 0.060). However, after a Cox multivariate regression analysis, the difference for rs2097432 was close to statistical significance after 3 years of follow-up (HR, 2.164; CI 95%, 0.996–4.701; p value 0.051;). In addition, the SNP rs2395185 was associated with failure of IFX in adults with CD after 3 or 9 years of follow-up (p value 0.015 and p value 0.032, respectively). The associations were maintained in a multivariate analysis after 3 years (HR, 0.450; CI 95%, 0.206–0.982; p value 0.045) and 9 years (HR, 0.523; CI 95%, 0.303–0.902; p value 0.020). Neither of these SNPs was associated with this variable in children with CD.

3. Discussion

Identifying which patients with IBD are at risk of failure of anti-TNF drugs and which have a high probability of maintaining a response to anti-TNF drugs over a long period would help considerably in personalizing treatments and avoiding the use of immunosuppressants in individuals for whom they are not necessary. Combination therapy comprising anti-TNFs and immunosuppressants reduces immunogenicity but increases the risk of infections and hematological toxicity. For this reason, identifying predictive biomarkers of anti-TNF responses may be useful. Several SNPs in TNF and TNF receptors and in apoptosis and autophagy genes have been involved in the response to anti-TNF drugs in patients with IBD [17].
Antidrug antibody formation is a relevant cause of the loss of response in patients treated with biological drugs in IBD [18]. Some factors, such as smoking, infections, antibiotics, and immunosuppressants, are related to antidrug antibody formation in autoimmune diseases [19]. However, genetic factors have a very important role in antidrug antibody formation [19], with HLA haplotypes being one of the most promising for predicting patients at risk of immunogenicity [20]. The MHC region contains more than 250 genes (including some HLA genes among them), and linkage disequilibrium blocks of up to 3 Mb are frequent.
In this study, we confirm the association of 2 genetic variants in the HLA region, rs2097432 and rs2395185, with failure of anti-TNF drugs in children. In addition, we demonstrate differences in the characteristics of these associations in children and adults, and over time.
Both SNPs were associated with failure and long-term effectiveness of anti-TNF drugs in children with IBD during a follow-up period ranging from 3 to 9 years. Most published studies look for primary nonresponse or loss of response after short follow-up periods [13,14,21,22,23]. Our strategy shows how responses progress over long periods of time.
The intronic variant rs2097432 is located on chromosome 6 at position 32590771 T>C (GRCh37) near HLA-DQA1. Our results showed that the C allele of this SNP was associated with a higher risk of failure of anti-TNF drugs in children followed for up to 9 years. This trend was also observed after 3 years of follow-up in a multivariate analysis. The PANTS study showed rs2097432 (HLA-DQA1*05) to be associated with the development of antidrug antibodies to IFX and ADL in patients aged ≥6 with CD followed over 200 months [14]. Wilson et al. found that the rs2097432 variant predicted antidrug antibody formation to IFX or ADL therapy for IBD in adults [13]. The authors found that up to 79% of patients with anti-IFX antibodies were carriers of at least 1 C allele. However, the patients recruited in these studies were mainly adults, leaving the situation of children largely unaddressed. A recent multicenter study of children with CD treated with IFX followed for 1 year for the formation of antidrug antibodies revealed that a neutrophil CD64 ratio >6 and starting dose <7.5 mg/kg independently predicted antidrug antibody formation, while HLA-DQA1*05 did not [21]. The resolution of 2 digits in HLA-DQA1*05 may be insufficient to discriminate between patients at risk or not of developing immunogenicity. A study discriminating 4 digits using PANTS cohort data showed that DRB1*03:01, DQA1*05:01, and DQB1*02:01 were associated with IFX antibody formation, while DRB1*11:01, DQA1*05:05, and DQB1*03:01 were associated with ADL antibody formation [22]. However, these conclusions are controversial, and larger cohorts will be required to test specific DQA1∗05 alleles for an association with ADL and IFX individually [23]. Our results showed a trend toward significance for a higher risk of failure to ADL in carriers of the C allele of rs2097432. No differences were observed for IFX-treated children, and while this observation does not help to resolve the controversy, since we analyzed only 1 SNP, it does reflect differences regarding this SNP in IFX- or ADL-treated patients. In this sense, we identified genetic variants in TLR4, LY96, TLR2, CD14, and TNFRSF1B that were differentially associated with IFX or ADL though serum levels [24]. The evidence suggests that genetic variants might play a role in the differential effectiveness of IFX or ADL in IBD.
The intronic variant rs2395185 is located on chromosome 6 in position 324633167 (GRCh37) in a region spanning BTNL2 to HLA-DQB1, and it has been described in the literature on HLA-DRA and HLA-DRB1. However, it is currently considered part of the HLA-DRB9 gene. Our findings showed a higher risk of failure of anti-TNF drugs in homozygous GG children than in GT or TT children with IBD. Thus, it is observed after 3 and 9 years of starting biological treatment in children with IBD. It was first associated with the risk of UC by GWAS (HLA-DQB1) [25,26] and was further analyzed in an Italian population [27]. Carriers of the T allele have a lower risk of UC: 3.7% vs. 5.1% in homozygous TT in UC vs. control, 28.1% vs. 35.7% in heterozygous TG in UC vs. control, and 68.2% vs. 59.2% in homozygous GG in UC vs. control [27]. In a small group of patients, Dubinsky et al. showed the G allele of this SNP to be associated with the risk of IBD, primary non-response to IFX in patients with IBD, and age at diagnosis <21 years [15]. Thus, our results extend the association between this SNP and long-term response to anti-TNF agents and help identify children who will respond well to anti-TNF drugs over a long period.
Comparison of children and adults was limited to CD and IFX as treatments and revealed differences between adults and children. Thus, rs2395185 was associated with the response to IFX in adults diagnosed with CD, but not in children with CD after follow-ups of 3 or 9 years. Differences between adults and children with UC in rs2395185 have already been defined as follows: in an Italian cohort, 3.1% in adults with UC and TT genotype vs. 6% in children; 28.4% in adults with UC and TG genotype vs. 26.9% in children; and 68.5% in adults with UC and GG genotype vs. 67.1% in children (HR 0.67; 95% CI, 0.52–0-86; p value 0.002) [27]. Our results suggest small differences depending on the anti-TNF drug, type of IBD, and, probably, patient age.
Although our cohort of children with IBD is one of the largest in the world, our cohort of adults is limited because only CD and IFX can be compared. We are now recruiting a large number of adult patients with IBD treated with biological drugs for future studies. Another limitation is that only IFX and ADL were assessed, while both children and adults are increasingly treated with other biological drugs, such as vedolizumab and ustekinumab. It would be interesting to study the role of these SNPs in both treatments. However, these drugs are rarely used in children, thus making sample size a considerable limitation.
The genetic variant rs2097432 was not associated with the time to failure of IFX in adults or children with CD. However, there was an almost statistically significant trend after 3 years of follow-up in the adult cohort. Our results show that the follow-up period is extremely sensitive for finding associations. Most studies attempting to identify genetic biomarkers of response to biological drugs analyzed primary or short-term response (less than 1 year) and established a cut-off point. However, our strategy allows us to measure how the association between the marker and the response progresses over long periods and provides us with valuable information to identify patients whose prognosis is very good with biological drugs. In patients who have lived with this incurable illness for 50–70 years, the selection of the most durable and efficient treatment is highly relevant.
The linkage disequilibrium of HLA genes is well known. An analysis of these two SNPs in the LDpair tool in the population most similar to the Spanish one showed a high common heritability but a low correlation. These data justify the study of these variants independently. Although genotype frequencies in rs2097432 were not consistent with HWE, the frequency of the C allele is similar to the frequency expected by genomic databases, such as gnomAD, and the detection of carriers of the C allele for rs2097432 is 94.9% concordant with diagnostic methods for detecting carriers of HLA-DQA1:05 [28], we consider our results to be robust, even if the Hardy-Weinberg equilibrium is not supported.
Some authors recommend testing HLA-DQA1*05:01, HLA-DQA1*05:05, and HLA-DRB1*03 to predict immunogenicity to anti-TNF drugs, with the aim of choosing therapy and preventive strategies [29]. Other researchers have also included rs2097432 in clinical trials to study how it can be applied in clinical practice (INHERIT, https://ichgcp.net/clinical-trials-registry/NCT04109300#; accessed on 10 January 2023). Since rs2097432 genotyping is being introduced in trials for implementation in clinical practice, we suggest the inclusion of rs2395185 in clinical trials, at least in Caucasian patients. Such an approach would enable us to personalize biological therapy in children based on the individual genome.

4. Materials and Methods

4.1. Study Design and Patient Characteristics

This study was observational, ambispective, and longitudinal. Participants were informed about the study and recruited between 2016 and 2022 in the pediatric departments of various Spanish hospitals after signing the informed consent document. Patients (n = 340) were recruited based on the following inclusion criteria: current diagnosis of IBD, age under 18, and having received treatment with an anti-TNF drug at any time. Participants were followed up until March 2022. Data were collected from clinical records and managed using REDCap (Research Electronic Data Capture) electronic data capture tools hosted at Hospital General Universitario Gregorio Marañón [30,31]. Samples from patients diagnosed with CD but aged ≥ 18 were used for comparison [3]. These samples were obtained from the registered collection c.0003459 (Instituto de Salud Carlos III), according to Spanish legislation. The characteristics of the adult participants were updated from Salvador-Martín et al. [3].
Time-to-failure was calculated as the time from the start of therapy to the date of failure and modification of treatment. Failure of anti-TNF therapy was defined as withdrawal of the anti-TNF drug, and/or switching to another drug due to loss of effectiveness according to clinical, biochemical, and endoscopic data or the need for abdominal surgery related to progression of IBD.
The other clinical and demographic variables collected were sex, age at onset of IBD, time from diagnosis to initiation of the anti-TNF drug, type of IBD, and type of anti-TNF drug. Type of anti-TNF drug and type of IBD were analyzed as potential sources of bias.
The sample size was calculated as per Salvador-Martín et al. [3].

4.2. DNA Isolation and Genotyping

DNA was isolated from 200 µL of blood using the QIAmp DNA Blood mini kit (Qiagen, Hilden, Germany), quantified in a Quawell 5000 spectrophotometer (Quawell Technology Inc., San José, CA, USA), and diluted to 10 ng/µL for genotyping. Genotyping was performed using the QuantStudio 3 Real-Time PCR System (Applied Biosystems, Carlsbad, CA, USA). rs2097432 was genotyped using a rhAMP probe (Integrated DNA Technologies, Coralville, IA, USA), while rs2395185 was genotyped using a TaqMan Probe (Applied Biosystems). Both genotypes were obtained following the manufacturer’s recommendations. For samples with no real-time genotyping result for rs2097432, genotyping was performed using Sanger sequencing. The fragment was amplified by mixing 10 ng genomic DNA, 1 µM of each primer (forward 5′-ACATCCTGTGACCAAACAGCT-3′, reverse 5′-TGTGCACCTACCCTCACT-3′), and 5 µL of Complex Master Mix Taq polymerase in a final volume of 10 µL. PCR conditions were as follows: initial denaturation at 95 °C for 2 min; 35 cycles of 95 °C for 30 s, 60 °C for 30 s, and 72 °C for 90 s; and a final extension at 72 °C for 5 min. Genotypes were analyzed using QuantStudioTM Design & Analysis Software (Applied Biosystems). Linkage disequilibrium between rs2097432 and 2395185 was determined using the LDpair tool (National Cancer Institute, https://analysistools.cancer.gov/LDlink/?tab=ldpair; accessed on 10 January 2023).

4.3. Statistical Analysis

Quantitative continuous variables were expressed as median and interquartile range (IQR), whereas qualitative variables were expressed as frequency and percent.
The statistical analysis was performed using IBM SPSS Statistics v.26 (IBM Corp., Armonk, NY, USA). Differences between qualitative and quantitative variables were tested using the chi squared test, or, whenever appropriate, the Fisher exact test or Mann–Whitney test, respectively. Differences between quantitative and qualitative variables in more than two independent groups were analyzed using the Kruskal-Wallis test.
Kaplan-Meier curves were used to analyze the association between genotypes and the long-term response to anti-TNF drugs. For SNPs with a p value < 0.05, the adjusted hazard ratios (HR) and their 95% confidence interval (CI) were calculated using Cox regression based on sex, anti-TNF treatment, and type of IBD as covariates. A p value of less than 0.05 was considered statistically significant.

4.4. Ethics

The study was approved by the ethics committees of the participating hospitals and conducted in accordance with the World Medical Association Declaration of Helsinki and Spanish legislation. All patients or legal guardians gave their signed informed consent for genetic testing and participation in the study.

5. Conclusions

The genetic variants rs2097432 and rs2395185 were associated with a long-term response to anti-TNF drugs in Spanish children with IBD. An additive effect of both risk alleles was observed. There were differences in the anti-TNF response between adults and children with CD treated with IFX, mainly for the genetic variant rs2395185. Genotyping of these SNPs could help clinicians personalize treatments.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/ijms24021797/s1.

Author Contributions

Conceptualization, S.S.-M. and L.A.L.-F.; methodology, S.S.-M., P.Z.-C. and L.A.L.-F.; formal analysis, S.S.-M. and P.Z.-C.; data acquisition and curation, investigation, M.V., L.M.P., S.C., O.S., C.S., M.T., A.M.-Á., A.F.-L., B.P.-M., I.L., V.M.N.L., A.M., L.M. (Lorena Magallares)., R.T.-P., R.G.-R., G.P.-M., V.M.-B., A.R., E.S., B.L.-C., I.M.-J., L.M. (Luis Menchén), E.L.-M., A.J.L. and M.S.-S.; writing—original draft preparation, S.S.-M., P.Z.-C. and L.A.L.-F.; writing—review and editing, all; supervision, L.A.L.-F.; funding acquisition, L.A.L.-F. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Instituto de Salud Carlos III, grant number PI19/00792 (L.A.L.-F.) and Juan Rodes program JR19/00005 (E.L.-M.), by Instituto de Investigación Sanitaria Gregorio Marañón, grant number 2021-II-postdoc-01 (S.S.-M.), and by Consejería de Educación, Universidades, Ciencia y Portavocía Comunidad de Madrid, grant number PEJ-2021-AI/BMD-21866 (P.Z.-C.). The study was co-funded by the European Union.

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of Hospital General Universitario Gregorio Marañón (protocol code FG-2019-01 23 September 2019).

Informed Consent Statement

Written informed consent has been obtained from the patients and/or legal guardians to develop this research.

Data Availability Statement

Data available under request.

Conflicts of Interest

The authors declare that they have no conflict of interest.

References

  1. Kim, S.C.; Ferry, G.D. Inflammatory bowel diseases in pediatric and adolescent patients: Clinical, therapeutic, and psychosocial considerations. Gastroenterology 2004, 126, 1550–1560. [Google Scholar] [CrossRef] [PubMed]
  2. Jeong, D.Y.; Kim, S.; Son, M.J.; Son, C.Y.; Kim, J.Y.; Kronbichler, A.; Lee, K.H.; Shin, J. Il Induction and maintenance treatment of inflammatory bowel disease: A comprehensive review. Autoimmun. Rev. 2019, 18, 439–454. [Google Scholar] [CrossRef]
  3. Salvador-Martín, S.; López-Cauce, B.; Nuñez, O.; Laserna-Mendieta, E.J.; García, M.I.; Lobato, E.; Abarca-Zabalía, J.; Sanjurjo-Saez, M.; Lucendo, A.J.; Marín-Jiménez, I.; et al. Genetic predictors of long-term response and trough levels of infliximab in crohn’s disease. Pharmacol. Res. 2019, 149, 104478. [Google Scholar] [CrossRef] [PubMed]
  4. Salvador-Martín, S.; Bossacoma, F.; Pujol-Muncunill, G.; Navas-López, V.M.; Gallego-Fernández, C.; Viada, J.; Muñoz-Codoceo, R.; Magallares, L.; Martínez-Ojinaga, E.; Moreno-Álvarez, A.; et al. Genetic Predictors of Long-term Response to Antitumor Necrosis Factor Agents in Pediatric Inflammatory Bowel Disease. J. Pediatr. Gastroenterol. Nutr. 2020, 71, 508–515. [Google Scholar] [CrossRef] [PubMed]
  5. Jongsma, M.M.E.; Winter, D.A.; Huynh, H.Q.; Norsa, L.; Hussey, S.; Kolho, K.-L.; Bronsky, J.; Assa, A.; Cohen, S.; Lev-Tzion, R.; et al. Infliximab in young paediatric IBD patients: It is all about the dosing. Eur. J. Pediatr. 2020, 179, 1935–1944. [Google Scholar] [CrossRef] [PubMed]
  6. Salvador-Martín, S.; Melgarejo-Ortuño, A.; López-Fernández, L.A. Biomarkers for Optimization and Personalization of Anti-TNFs in Pediatric Inflammatory Bowel Disease. Pharmaceutics 2021, 13, 1786. [Google Scholar] [CrossRef]
  7. Ungar, B.; Levy, I.; Yavne, Y.; Yavzori, M.; Picard, O.; Fudim, E.; Loebstein, R.; Chowers, Y.; Eliakim, R.; Kopylov, U.; et al. Optimizing Anti-TNF-α Therapy: Serum Levels of Infliximab and Adalimumab Are Associated With Mucosal Healing in Patients With Inflammatory Bowel Diseases. Clin. Gastroenterol. Hepatol. 2016, 14, 550–557.e2. [Google Scholar] [CrossRef] [Green Version]
  8. Ding, N.S.; Hart, A.; De Cruz, P. Systematic review: Predicting and optimising response to anti-TNF therapy in Crohn’s disease—Algorithm for practical management. Aliment. Pharmacol. Ther. 2016, 43, 30–51. [Google Scholar] [CrossRef]
  9. Naviglio, S.; Giuffrida, P.; Stocco, G.; Lenti, M.V.; Ventura, A.; Corazza, G.R.; Di Sabatino, A. How to predict response to anti-tumour necrosis factor agents in inflammatory bowel disease. Expert Rev. Gastroenterol. Hepatol. 2018, 12, 797–810. [Google Scholar] [CrossRef]
  10. Membrive Jiménez, C.; Pérez Ramírez, C.; Sánchez Martín, A.; Vieira Maroun, S.; Arias Santiago, S.A.; Ramírez Tortosa, M.D.C.; Jiménez Morales, A. Influence of Genetic Polymorphisms on Response to Biologics in Moderate-to-Severe Psoriasis. J. Pers. Med. 2021, 11, 293. [Google Scholar] [CrossRef]
  11. Dand, N.; Duckworth, M.; Baudry, D.; Russell, A.; Curtis, C.J.; Lee, S.H.; Evans, I.; Mason, K.J.; Alsharqi, A.; Becher, G.; et al. HLA-C*06:02 genotype is a predictive biomarker of biologic treatment response in psoriasis. J. Allergy Clin. Immunol. 2019, 143, 2120–2130. [Google Scholar] [CrossRef] [Green Version]
  12. Gibson, D.S.; McGeough, C.M.; Watterson, S.; Blayney, J.; Wright, G.D.; Pendleton, A.; Gardiner, P.; Small, D.; Eakin, A.J.; Ahmed, T.; et al. Anti-tumour necrosis factor-alpha response associated with combined CD226 and HLA-DRB1[*]0404 haplotype in rheumatoid arthritis. Clin. Exp. Rheumatol. 2021, 39, 385–392. [Google Scholar] [CrossRef] [PubMed]
  13. Wilson, A.; Peel, C.; Wang, Q.; Pananos, A.D.; Kim, R.B. HLADQA1*05 genotype predicts anti-drug antibody formation and loss of response during infliximab therapy for inflammatory bowel disease. Aliment. Pharmacol. Ther. 2020, 51, 356–363. [Google Scholar] [CrossRef] [PubMed]
  14. Sazonovs, A.; Kennedy, N.A.; Moutsianas, L.; Heap, G.A.; Rice, D.L.; Reppell, M.; Bewshea, C.M.; Chanchlani, N.; Walker, G.J.; Perry, M.H.; et al. HLA-DQA1*05 Carriage Associated With Development of Anti-Drug Antibodies to Infliximab and Adalimumab in Patients With Crohn’s Disease. Gastroenterology 2020, 158, 189–199. [Google Scholar] [CrossRef] [Green Version]
  15. Dubinsky, M.C.; Mei, L.; Friedman, M.; Dhere, T.; Haritunians, T.; Hakonarson, H.; Kim, C.; Glessner, J.; Targan, S.R.; McGovern, D.P.; et al. Genome wide association (GWA) predictors of anti-TNFalpha therapeutic responsiveness in pediatric inflammatory bowel disease. Inflamm. Bowel Dis. 2010, 16, 1357–1366. [Google Scholar] [CrossRef] [PubMed]
  16. Karczewski, K.J.; Francioli, L.C.; Tiao, G.; Cummings, B.B.; Alföldi, J.; Wang, Q.; Collins, R.L.; Laricchia, K.M.; Ganna, A.; Birnbaum, D.P.; et al. The mutational constraint spectrum quantified from variation in 141,456 humans. Nature 2020, 581, 434–443. [Google Scholar] [CrossRef]
  17. Lauro, R.; Mannino, F.; Irrera, N.; Squadrito, F.; Altavilla, D.; Squadrito, G.; Pallio, G.; Bitto, A. Pharmacogenetics of Biological Agents Used in Inflammatory Bowel Disease: A Systematic Review. Biomedicines 2021, 9, 1748. [Google Scholar] [CrossRef] [PubMed]
  18. Roberts, J.; Battat, R.; Lukin, D.; Scherl, E.J.; Pola, S.; Kumar, A.; Okada, L.; Yang, L.; Jain, A.; Siegel, C.A. Immunogenicity of Tumor Necrosis Factor Antagonists and Effect of Dose Escalation on Anti-Drug Antibodies and Serum Drug Concentrations in Inflammatory Bowel Disease. Inflamm. Bowel Dis. 2021, 27, 1443–1451. [Google Scholar]
  19. Hässler, S.; Bachelet, D.; Duhaze, J.; Szely, N.; Gleizes, A.; Abina, S.H.B.; Aktas, O.; Auer, M.; Avouac, J.; Birchler, M.; et al. Clinicogenomic factors of biotherapy immunogenicity in autoimmune disease: A prospective multicohort study of the ABIRISK consortium. PLoS Med. 2020, 17, e1003348. [Google Scholar] [CrossRef]
  20. Mosch, R.; Guchelaar, H.J. Immunogenicity of Monoclonal Antibodies and the Potential Use of HLA Haplotypes to Predict Vulnerable Patients. Front. Immunol. 2022, 13, 885672. [Google Scholar] [CrossRef]
  21. Colman, R.J.; Xiong, Y.; Mizuno, T.; Hyams, J.S.; Noe, J.D.; Boyle, B.; D’Haens, G.R.; van Limbergen, J.; Chun, K.; Yang, J.; et al. Antibodies-to-infliximab accelerate clearance while dose intensification reverses immunogenicity and recaptures clinical response in paediatric Crohn’s disease. Aliment. Pharmacol. Ther. 2022, 55, 593–603. [Google Scholar] [CrossRef]
  22. Powell Doherty, R.D.; Liao, H.; Satsangi, J.J.; Ternette, N. Extended Analysis Identifies Drug-Specific Association of 2 Distinct HLA Class II Haplotypes for Development of Immunogenicity to Adalimumab and Infliximab. Gastroenterology 2020, 159, 784–787. [Google Scholar] [CrossRef]
  23. Sazonovs, A.; Ahmad, T.; Anderson, C.A. Underpowered PANTS: A Response to the Conclusions of Extended Analysis Identifies Drug-Specific Association of Two Distinct HLA Class II Haplotypes for Development of Immunogenicity to Adalimumab and Infliximab. Gastroenterology 2021, 160, 470–471. [Google Scholar] [CrossRef]
  24. Salvador-Martín, S.; Pujol-Muncunill, G.; Bossacoma, F.; Navas-López, V.M.; Gallego-Fernández, C.; Segarra, O.; Clemente, S.; Muñoz-Codoceo, R.; Viada, J.; Magallares, L.; et al. Pharmacogenetics of trough serum anti-TNF levels in paediatric inflammatory bowel disease. Br. J. Clin. Pharmacol. 2021, 87, 447–457. [Google Scholar] [CrossRef] [PubMed]
  25. Silverberg, M.S.; Cho, J.H.; Rioux, J.D.; McGovern, D.P.B.; Wu, J.; Annese, V.; Achkar, J.P.; Goyette, P.; Scott, R.; Xu, W.; et al. Ulcerative colitis-risk loci on chromosomes 1p36 and 12q15 found by genome-wide association study. Nat. Genet. 2009, 41, 216–220. [Google Scholar] [CrossRef]
  26. McGovern, D.P.B.; Gardet, A.; Törkvist, L.; Goyette, P.; Essers, J.; Taylor, K.D.; Neale, B.M.; Ong, R.T.H.; Lagacé, C.; Li, C.; et al. Genome-wide association identifies multiple ulcerative colitis susceptibility loci. Nat. Genet. 2010, 42, 332–337. [Google Scholar] [CrossRef] [Green Version]
  27. Latiano, A.; Palmieri, O.; Latiano, T.; Corritore, G.; Bossa, F.; Martino, G.; Biscaglia, G.; Scimeca, D.; Valvano, M.R.; Pastore, M.; et al. Investigation of multiple susceptibility loci for inflammatory bowel disease in an Italian cohort of patients. PLoS ONE 2011, 6, e22688. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  28. Laserna-Mendieta, E.J.; Salvador-Martín, S.; Arias, A.; López-Cauce, B.; Marín-Jiménez, I.; Menchén, L.A.; Marín-Rubio, L.; Ontañón Rodríguez, J.; López-Fernández, L.A.; Lucendo, A.J. Single nucleotide polymorphisms in ADAM17, IL23R and SLCO1C1 genes protect against infliximab failure in adults with Crohn’s disease. Biomed. Pharmacother. 2023, 159, 114225. [Google Scholar] [CrossRef] [PubMed]
  29. Labarile, N.; Ghosh, S.; Ng, S.C.; Walters, J.; Iacucci, M. Tests that now deserve to be more widely adopted in IBD clinical practice. Ther. Adv. Gastroenterol. 2020, 13, 1756284820944088. [Google Scholar] [CrossRef] [PubMed]
  30. Harris, P.A.; Taylor, R.; Thielke, R.; Payne, J.; Gonzalez, N.; Conde, J.G. Research electronic data capture (REDCap)—A metadata-driven methodology and workflow process for providing translational research informatics support. J. Biomed. Inform. 2009, 42, 377–381. [Google Scholar] [CrossRef] [Green Version]
  31. Harris, P.A.; Taylor, R.; Minor, B.L.; Elliott, V.; Fernandez, M.; O’Neal, L.; McLeod, L.; Delacqua, G.; Delacqua, F.; Kirby, J.; et al. The REDCap consortium: Building an international community of software platform partners. J. Biomed. Inform. 2019, 95, 103308. [Google Scholar] [CrossRef] [PubMed]
Ijms 24 01797 g001 550
Figure 1. Kaplan-Meier curves for rs2097432 and failure of anti-TNF therapy. (a) Children with IBD treated with anti-TNF drugs; (b) Children with IBD treated with anti-TNF drugs for 36 months; (c) Children with CD treated with anti-TNF drugs; (d) Children with UC treated with anti-TNF drugs; (e) Children with IBD treated with IFX; (f) Children with IBD treated with ADL. Genotype comparisons and p values for the univariate analysis (KM p value) and multivariate analysis (Cox p value) analyses are presented alongside Kaplan-Meier curves. Significant p values are marked in bold. * Reference genotypes.
Figure 1. Kaplan-Meier curves for rs2097432 and failure of anti-TNF therapy. (a) Children with IBD treated with anti-TNF drugs; (b) Children with IBD treated with anti-TNF drugs for 36 months; (c) Children with CD treated with anti-TNF drugs; (d) Children with UC treated with anti-TNF drugs; (e) Children with IBD treated with IFX; (f) Children with IBD treated with ADL. Genotype comparisons and p values for the univariate analysis (KM p value) and multivariate analysis (Cox p value) analyses are presented alongside Kaplan-Meier curves. Significant p values are marked in bold. * Reference genotypes.
Ijms 24 01797 g001
Ijms 24 01797 g002a 550Ijms 24 01797 g002b 550
Figure 2. Kaplan-Meier curves for rs2395185 and failure of anti-TNF therapy. (a) Children with IBD treated with anti-TNF drugs; (b) Children with IBD treated with anti-TNF drugs for 36 months; (c) Children with CD treated with anti-TNF drugs; (d) Children with UC treated with anti-TNF drugs; (e) Children with IBD treated with IFX; (f) Children with IBD treated with ADL. Genotype comparisons and p values for univariate analysis (KM p value) and multivariate analysis (Cox p value) are presented alongside Kaplan-Meier curves. Significant p values are marked in bold. * Reference genotypes.
Figure 2. Kaplan-Meier curves for rs2395185 and failure of anti-TNF therapy. (a) Children with IBD treated with anti-TNF drugs; (b) Children with IBD treated with anti-TNF drugs for 36 months; (c) Children with CD treated with anti-TNF drugs; (d) Children with UC treated with anti-TNF drugs; (e) Children with IBD treated with IFX; (f) Children with IBD treated with ADL. Genotype comparisons and p values for univariate analysis (KM p value) and multivariate analysis (Cox p value) are presented alongside Kaplan-Meier curves. Significant p values are marked in bold. * Reference genotypes.
Ijms 24 01797 g002aIjms 24 01797 g002b
Ijms 24 01797 g003 550
Figure 3. Kaplan-Meier curve of combined effect of rs2395185 and rs2097432 on failure of anti-TNF drugs. (a) Patients carrying a low-risk haplotype (orange) or any other haplotypes (green); (b) Patients carrying a low-risk haplotype (orange), a medium-risk haplotype (blue), or a high-risk haplotype (green). Genotype comparisons and p values for the univariate analysis (KM p value) and multivariate analysis (Cox p value) analyses are presented alongside Kaplan-Meier curves. Significant p values are marked in bold. * Reference genotypes.
Figure 3. Kaplan-Meier curve of combined effect of rs2395185 and rs2097432 on failure of anti-TNF drugs. (a) Patients carrying a low-risk haplotype (orange) or any other haplotypes (green); (b) Patients carrying a low-risk haplotype (orange), a medium-risk haplotype (blue), or a high-risk haplotype (green). Genotype comparisons and p values for the univariate analysis (KM p value) and multivariate analysis (Cox p value) analyses are presented alongside Kaplan-Meier curves. Significant p values are marked in bold. * Reference genotypes.
Ijms 24 01797 g003
Ijms 24 01797 g004 550
Figure 4. Kaplan-Meier curves for rs2097432 and failure of IFX in children and adults with CD. (a) Adults with CD treated with IFX, follow-up 9 years; (b) Adults with CD treated with IFX, follow-up 3 years; (c) Children with CD treated with IFX, follow-up 9 years; (d) Children with CD treated with IFX, follow-up 3 years. Genotype comparisons and p values for the univariate analysis (KM p value) and multivariate analysis (Cox p value) analyses are presented alongside Kaplan-Meier curves. Significant p values are marked in bold. * Reference genotypes.
Figure 4. Kaplan-Meier curves for rs2097432 and failure of IFX in children and adults with CD. (a) Adults with CD treated with IFX, follow-up 9 years; (b) Adults with CD treated with IFX, follow-up 3 years; (c) Children with CD treated with IFX, follow-up 9 years; (d) Children with CD treated with IFX, follow-up 3 years. Genotype comparisons and p values for the univariate analysis (KM p value) and multivariate analysis (Cox p value) analyses are presented alongside Kaplan-Meier curves. Significant p values are marked in bold. * Reference genotypes.
Ijms 24 01797 g004
Ijms 24 01797 g005a 550Ijms 24 01797 g005b 550
Figure 5. Kaplan-Meier curves for rs2395185 and failure of IFX in children and adults with CD. (a) Adults with CD treated with IFX, follow-up 9 years; (b) Adults with CD treated with IFX, follow-up 3 years; (c) Children with CD treated with IFX, follow-up 9 years; (d) Children with CD treated with IFX, follow-up 3 years. Genotype comparisons and p values for the univariate analysis (KM p value) and multivariate analysis (Cox p value) analyses are presented alongside Kaplan-Meier curves. Significant p values are marked in bold. * Reference genotypes.
Figure 5. Kaplan-Meier curves for rs2395185 and failure of IFX in children and adults with CD. (a) Adults with CD treated with IFX, follow-up 9 years; (b) Adults with CD treated with IFX, follow-up 3 years; (c) Children with CD treated with IFX, follow-up 9 years; (d) Children with CD treated with IFX, follow-up 3 years. Genotype comparisons and p values for the univariate analysis (KM p value) and multivariate analysis (Cox p value) analyses are presented alongside Kaplan-Meier curves. Significant p values are marked in bold. * Reference genotypes.
Ijms 24 01797 g005aIjms 24 01797 g005b
Table
Table 1. Characteristics of pediatric patients.
Table 1. Characteristics of pediatric patients.
CharacteristicsOverall
(n = 340)		Responders
(n = 270)		Non-Responders (n = 70)p Value
Sex
Male, n (%)205 (60.3%)168 (82.0%)37 (18.0%)0.171
Female, n (%)135 (39.7%)102 (75.6%)33 (24.4%)
Age (years)
At diagnosis, median (IQR, range)11.2 (4.0, 0.7–17.3)11.2 (3.8, 0.9–17.3)11.0 (5.8, 0.7–16.0)0.109
At start of treatment, median (IQR, range)12.2 (4.1, 1.1–17.5)12.3 (4.1, 1.4–17.5)12.0 (4.3, 1.1–17.3)0.251
Months from diagnosis to initiation of therapy, median (IQR, range)6.1 (15.9, 0.0–129.6)6.1 (15.3, 0–129.6)8.9 (18.2, 0.0–125.8)0.202
Type of IBD
CD, n (%)240 (70.5%)201 (83.8%)39 (16.3%)
UC, n (%)93 (27.4%)63 (67.7%)30 (32.3%)0.012
IC, n (%)7 (2.1%)6 (85.7%)1 (14.3%)
First or second biological treatment
1st, n (%)318 (93.5%)259 (81.4%)59 (18.6%)0.001
2nd, n (%)22 (6.5%)11 (50.0%)11 (50.0%)
Drug
Infliximab, n (%)228 (67.1%)185 (81.1%)43 (18.9%)0.318
Adalimumab, n (%)112 (32.9%)85 (75.9%)27 (24.1%)
Concomitant immunomodulator (n = 330)
Yes, n (%)286 (86.7%)229 (80.1%)57 (19.9%)0.843
No, n (%)44/13.3%)36 (81.8%)8 (18.2%)0.843
Type of immunotherapy (n = 283)
Azathioprine266 (81.6%)215 (80.8%)51 (19.2%)
Mercaptopurine3 (0.9%)2 (66.7%)1 (33.3%)0.947
Methotrexate14 (4.3%)10 (71.4%)4 (28.6%)
Bold, p value < 0.05; IQR, Interquartile range; CD, Crohn’s disease; UC, Ulcerative colitis; IC, indeterminate colitis.
Table
Table 2. Characteristics of adult patients.
Table 2. Characteristics of adult patients.
CharacteristicsOverall (n = 131)Responders (n = 77)Non-Responders (n = 54)p Value
Sex
Male, n (%)66 (50.4%)41 (62.1%)25 (37.9%)0.480
Female, n (%)65 (49.6%)36 (55.4%)29 (44.6%)
Age (years)
At diagnosis, median (IQR, range)27.2 (16.4; 10.8–76.7)27.7 (18.2; 10.8–76.7)26.7 (15.9; 11.7–58.7)0.359
At start of treatment, median (IQR, range)37.4 (18.5; 12.5–81.4)36.6 (19; 12.5–81.4)35.5 (18.2; 16.2–64.5)0.818
First or second biological treatment
1st, n (%)119 (90.8%)73 (60.3%)48 (39.7%)0.317
2nd, n (%)12 (9.2%)4 (40%)6 (60%)
Concomitant immunomodulator (n = 128)
Yes, n (%)68 (51.9%)47 (69.1%)21 (30.9%)0.045
No, n (%)60 (45.8%)30 (50%)30 (50%)
Type of immunotherapy
Azathioprine54 (79.4%)39 (72.2%)15 (27.8%)0.870
Mercaptopurine4 (5.9%)4 (100%)0 (0%)
Methotrexate7 (10.3%)2 (28.6%)5 (71.4%)
Mycophenolate3 (4.4%)2 (66.7%)1 (33.3%)
Bold, p value < 0.05; IQR, Interquartile range.
Table
Table 3. Classification of haplotype and risk of anti-TNF drug response.
Table 3. Classification of haplotype and risk of anti-TNF drug response.
rs2097432rs2395185Risk Group
TTTT or GTLow
CC 1 or CT 1TT or GTMedium
TTGG 1Medium
CC 1 or CT 1GG 1High
1 Risk genotype.
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Salvador-Martín, S.; Zapata-Cobo, P.; Velasco, M.; Palomino, L.M.; Clemente, S.; Segarra, O.; Sánchez, C.; Tolín, M.; Moreno-Álvarez, A.; Fernández-Lorenzo, A.; et al. Association between HLA DNA Variants and Long-Term Response to Anti-TNF Drugs in a Spanish Pediatric Inflammatory Bowel Disease Cohort. Int. J. Mol. Sci. 2023, 24, 1797. https://doi.org/10.3390/ijms24021797

AMA Style

Salvador-Martín S, Zapata-Cobo P, Velasco M, Palomino LM, Clemente S, Segarra O, Sánchez C, Tolín M, Moreno-Álvarez A, Fernández-Lorenzo A, et al. Association between HLA DNA Variants and Long-Term Response to Anti-TNF Drugs in a Spanish Pediatric Inflammatory Bowel Disease Cohort. International Journal of Molecular Sciences. 2023; 24(2):1797. https://doi.org/10.3390/ijms24021797

Chicago/Turabian Style

Salvador-Martín, Sara, Paula Zapata-Cobo, Marta Velasco, Laura M. Palomino, Susana Clemente, Oscar Segarra, Cesar Sánchez, Mar Tolín, Ana Moreno-Álvarez, Ana Fernández-Lorenzo, and et al. 2023. "Association between HLA DNA Variants and Long-Term Response to Anti-TNF Drugs in a Spanish Pediatric Inflammatory Bowel Disease Cohort" International Journal of Molecular Sciences 24, no. 2: 1797. https://doi.org/10.3390/ijms24021797

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop