| Literature DB >> 32545568 |
Phil Meister1,2, Christian Steinke-Ramming1, Mechthild Beste1, Henrike Lenzen1, Guido Gerken1, Ali Canbay1,3, Christoph Jochum1,4.
Abstract
BACKGROUND & AIMS: The pathogenesis of primary biliary cholangitis (PBC) and primary sclerosing cholangitis (PSC) remains unclear. The aim of this study was to reveal certain single nucleotide polymorphisms (SNP) in genes for regulatory proteins in the immunologic pathway possibly going along with susceptibility of attaining PBC or PSC.Entities:
Keywords: CTLA-4; PBC; PSC; cirrhosis; immunogenetics
Year: 2020 PMID: 32545568 PMCID: PMC7349546 DOI: 10.3390/diseases8020021
Source DB: PubMed Journal: Diseases ISSN: 2079-9721
Collective Characteristics: This table gives an overview of the examined cohort and their characteristics. IQR = Interquartile range, UDCA = Ursodeoxycholic acid, AST = Aspartat-Aminotransferase, ALT = Alaninaminotransferase, GGT = Gamma-Glutamyltransferase, AP = Alkaline phosphatase.
| Characteristic | Overall ( | PBC ( | PSC ( |
|---|---|---|---|
| Male, | 25 (19.8%) | 5 (5.4%) | 20 (57.1%) |
| Age at inclusion, median (IQR) | 59 (49–70) | 61 (51–70) | 53 (48–67) |
| Age at diagnosis, median (IQR) | 45 (35–52) | 47 (38.5–52.25) | 32 (26.5–44) |
| Years with disease, median (IQR) | 6 (3–12) | 9 (5–18) | 7 (3.5–11) |
| Inflammatory bowel disease, | 17 (13.5%) | 1 (1.1%) | 16 (45.7%) |
| UDCA therapy, | 113 (89.7%) | 80 (87.9%) | 33 (94.2%) |
| Cirrhosis, | 22 (17.5%) | 13 (14.3%) | 8 (22.9%) |
| AST (U/l), median (IQR) | 33 (22–52.5) | 28 (20.5–40) | 48 (36–100) |
| ALT (U/l), median (IQR) | 32 (22.5–46) | 29.5 (22–46.5) | 39.5 (31–93) |
| GGT (U/l), median (IQR) | 63 (27–145.5) | 49 (24–111) | 103 (64–180) |
| AP (U/l), median (IQR) | 133 (95.5–219) | 121.5 (93–181.5) | 221 (131–338) |
| Platelets (×10^9/l), median (IQR) | 252 (200–307) | 254 (203–309) | 240 (183–307) |
| Bilirubin (mg/dl), median (IQR) | 1 (0.5–1) | 0.6 (0.4–0.8) | 0.5 (0.2–1.2) |
Figure 1Panel A: Patients with primary biliary cholangitis (PBC) or primary sclerosing cholangitis (PSC) were subgrouped by presence of cirrhosis. The number of CTLA-4 copies was measured using mRNA Real-Time PCR and normalized by β-Actin as internal control. The X marks the mean value, the line inside the boxplot the median. Patients with cirrhosis have a mean number of 4359 copies, patients without cirrhosis have a mean number of 6836 copies (p = 0.04). Panel B: Patients with PBC were sorted by the determined number of CTLA-4 copies. Three equally large groups with either low, medium or high expression were formed. Patients with high and low expression were compared in the course of their disease by subtracting the lab values at initial diagnosis with the most current values for each patient. Patients with high CTLA-4 tend to have a recovery of elevated GGT-values more often [low: −69.8 U/l vs. high: −176.1 U/l p = 0.04]. The X marks the mean value, the line inside the boxplot the median. Patients with PSC showed the same trend without reaching statistical significance (low: −45.3 U/l vs. high: −105.4 U/l p = 0.08).
Figure 2All patients were subgrouped by their allele variants in the two SNPs CTLA4 rs733618 and FOXP3 SNP rs2280883. If they were both homozygotic with the major variant (TT), defined as the predominant allele in the HapMap-population, they were included in the “risk cluster” (n = 44). Afterwards, they were compared with the remaining patients with a different allele variant in the two SNPs (n = 81). Panel A: Comparison of the number of CTLA-4 copies measured by mRNA Real-Time PCR and normalized using β-Actin as internal control. Patients in the “risk cluster” have lower number of CTLA-4 copies (5729 vs. 9429, p = 0.001). Panel B: Comparison of GGT progression by subtracting the lab values at initial diagnosis with the most current values for each patient. Patients in the “risk cluster” have a weaker recovery of GGT in course of their disease (−61.7 U/l vs. −132.6 U/l, p = 0.04). Panel C: Comparison of previous disease length for the “risk cluster” and the remaining patients. There is no significant difference in disease duration (12.4 years vs. 10.9 years, p = 0.3).
Figure 3Characteristics of the subgroups formed by their allele variants in the two SNPs CTLA4 rs733618 and FOXP3 SNP rs2280883. If they were both homozygotic with the major variant (TT), defined as the predominant allele in the HapMap-population, they were included in the “risk cluster” (n = 44). Afterwards, they were compared with the remaining patients with a different allele variant in the two SNPs (n = 81). Panel A: Distribution of the disease entities in the risk cluster and the other patients. PSC appears more often in the “risk cluster” (n = 18/44; 40% vs. n = 17/81, 21%, p = 0.03). Panel B: Patients in the “risk cluster” tend to present cirrhosis more often in our cohort (n = 10/41, 24% vs. n = 11/81, 13%, p = 0.17).