scholarly journals Evidence of Telescoping in Regular Smoking Onset Age

2013 ◽  
Vol 16 (6) ◽  
pp. 717-724 ◽  
Author(s):  
Brianna C. Bright ◽  
Julia N. Soulakova
Keyword(s):  
2019 ◽  
Vol 124 ◽  
pp. 17-22 ◽  
Author(s):  
Manel Fa-Binefa ◽  
Albert Clará ◽  
Silvia Pérez-Fernández ◽  
Maria Grau ◽  
Irene R. Dégano ◽  
...  

Diabetologia ◽  
2021 ◽  
Author(s):  
Ziyu Jiang ◽  
Wenqian Ren ◽  
Hua Liang ◽  
Jinhua Yan ◽  
Daizhi Yang ◽  
...  

Abstract Aims/hypothesis The study aimed to investigate the effects of HLA class I genes on susceptibility to type 1 diabetes with different onset ages, in addition to the well-established effects of HLA class II genes. Methods A total of 361 patients with type 1 diabetes (192 patients with onset <18 years and 169 patients with onset ≥18 years) and 500 healthy control participants from China were enrolled and genotyped for the HLA-A, -B, -C, -DQA1, -DQB1 and -DRB1 genes using next-generation sequencing. Results The susceptible DR3 (β = −0.09, p = 0.0009) and DR4-DQ8 (β = −0.13, p = 0.0059) haplotypes were negatively associated with onset age, while the protective DR11 (β = 0.21, p = 0.0314) and DR12 (β = 0.27, p < 0.0001) haplotypes were positively associated with onset age. After adjustment for linkage disequilibrium with DR-DQ haplotypes, A*11:01:01 was positively associated with onset age (β = 0.06, p = 0.0370), while the susceptible C*15:02:01 was negatively associated with onset age (β = −0.21, p = 0.0050). The unit for β was double square-root (fourth root) transformed years of change in onset age associated with per copy of the HLA haplotype/allele. In addition, B*46:01:01 was protective (OR 0.41, 0.46; pc [corrected for multiple comparisons] = 0.0044, 0.0040), whereas A*24:02:01 (OR 2.71, 2.25; pc = 0.0003, 0.0002) and B*54:01:01 (OR 3.96, 3.79; pc = 0.0018, 0.0004) were predisposing in both the <18 group and the ≥18 group compared with healthy control participants. In the context of DR4-DQ4, A*11:01:01 (61.29% vs 28.26%, pc = 0.0144) was increased while the predisposing A*24:02:01 (19.35% vs 47.83%, pc = 0.0403) was decreased in patients with onset ≥18 years when compared with patients with onset <18 years. Conclusions/interpretation In addition to DR-DQ haplotypes, novel HLA class I alleles were detected to play a role in susceptibility to type 1 diabetes with different onset ages, which could improve the understanding of disease heterogeneity and has implications for the design of future studies. Graphical abstract


2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 603.1-603
Author(s):  
N. Hashimoto ◽  
S. Uchiyama ◽  
T. Nakazawa ◽  
T. Iwasaki ◽  
T. Hashimoto

Background:Primary Sjögren’s syndrome (pSS) is a chronic inflammatory autoimmune disease characterized by lymphocyte infiltration in salivary and lacrimal glands. pSS affects primarily middle-aged and elderly patients, although younger age groups may also be involved. However, differences of etiology and pathogenesis between early-onset pSS (EOpSS) and late-onset pSS (LOpSS) are unknown. Recently, standardized outcome tools for measuring disease-specific activity and patients’ reported symptoms have been formulated by the European League Against Rheumatism (EULAR) SS study group: the EULAR SS Disease Activity Index (ESSDAI) for systemic features of pSS [1]. Also, as the new imaging techniques, salivary gland ultrasonography (SGUS) proved valuable for assessing salivary gland involvement in SS and seemed to exhibit good diagnostic properties. In addition, previous studies have demonstrated usefulness of SGUS for the prognostic stratification of patients with pSS [2], [3], [4].Objectives:The aim of this study was to examine the differences of etiology and pathogenesis between EOpSS and LOpSS using ESSDAI and SGUS.Methods:Fifty-six pSS patients who fulfilled the American College of Rheumatology (ACR) / European League Against Rheumatism (EULAR) classification criteria for SS were studied. Based on the disease onset age, all pSS patients were divided into two groups as those with the onset age of 40 years old or younger (EOpSS: n=26) and those with the onset age of older than 65 years old (LOpSS: n=30). The clinical findings were evaluated ESSDAI and OMERACT SGUS score at the first visit to our hospital. The ESSDAI (0–123) proposes the evaluation of 12 domains or organ systems (constitutional, lymphadenopathy, glandular, articular, cutaneous, pulmonary, renal, peripheral nervous system, central nervous system, muscular, hematological and biology). All patients were examined SGUS by a single investigator who was blinded to device (TUS-A300; Canon Medical Systems, Tokyo, Japan) with a linear transducer (7.5-10MHz). The OMERACT SGUS score was used for graded changes in the parenchymal homogeneity of salivary glands: grade 0, normal-appearing salivary gland parenchyma; grade 1, minimal change: mild inhomogeneity without hypo/anechoic areas; grade 2, moderate change: moderate inhomogeneity with focal hypo/anechoic areas; grade 3, severe change: diffuse inhomogeneity with hypo/anechoic areas occupying the entire gland surface [5].Results:The proportions of positive sera of RF, anti-SS-A and anti-SS-B antibodies were not different in the two groups, but the disease activities were higher in the EOpSS than in the LOpSS patients by measuring ESSDAI (7.30 vs 4.23, p=0.008), especially in constitutional domain (1.50 vs 0.60, p=0.03), articular domain (1.54 vs 0.40, p=0.0002) and biological domain (1.35 vs 0.90, p=0.04). No difference in salivary secretion was found between two groups (EOpSS: 8.02 vs LOpSS: 6.31 mL/10min.), but the OMERACT SGUS score was higher in LOpSS than in EOpSS patients (2.00 vs 2.70, p=0.0002).Conclusion:Although serological findings were not different, EOpSS patients had higher disease activity but less severe salivary gland degeneration than that in LOpSS patients, suggesting the pathogenesis of these two groups was different.References:[1]Seror R, et al. Ann Rheum Dis. 2010 Jun;69(6):1103-9.[2]Arthritis Care Res (Hoboken). 2014 Jul;66(7):1102-7.[3]Hammenfors DS, et al. Clin Exp Rheumatol. 2015 Jan-Feb;33(1):56-62.[4]Milic V, et al. PLoS One. 2019 Dec 31;14(12): e0226498.[5]Jousse-Joulin S, et al. Ann Rheum Dis. 2019 Jul;78(7):967-973.Disclosure of Interests:None declared


2011 ◽  
Vol 71 ◽  
pp. e398
Author(s):  
Ting Li ◽  
Shunying Yu ◽  
Jiang Du ◽  
Hanhui Chen ◽  
Haifeng Jiang ◽  
...  
Keyword(s):  
Drug Use ◽  

2018 ◽  
Vol 483 ◽  
pp. 52-63 ◽  
Author(s):  
Xiujuan Bao ◽  
Shihong Zhang ◽  
Ganqing Jiang ◽  
Huaichun Wu ◽  
Haiyan Li ◽  
...  
Keyword(s):  

2008 ◽  
Vol 29 (4) ◽  
pp. 754-761 ◽  
Author(s):  
San San Lum ◽  
Hui Wan Chua ◽  
Huihua Li ◽  
Wen-Feng Li ◽  
Nanyan Rao ◽  
...  

2016 ◽  
Vol 136 (9) ◽  
pp. S199
Author(s):  
J. Son ◽  
Y. Cho ◽  
Y. Byun ◽  
Y. Yang ◽  
B. Chung ◽  
...  

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