PNPLA3andHLA-DQB1polymorphisms are associated with hepatocellular carcinoma after hepatitis C virus eradication
JOURNAL OF GASTROENTEROLOGY
Authors: Miki, Daiki; Akita, Tomoyuki; Kurisu, Akemi; Kawaoka, Tomokazu; Nakajima, Tomoaki; Hige, Shuhei; Karino, Yoshiyasu; Toyoda, Hidenori; Kumada, Takashi; Tsuge, Masataka; Hiramatsu, Akira; Imamura, Michio; Aikata, Hiroshi; Hayes, Clair Nelson; Honda, Koichi; Seike, Masataka; Akuta, Norio; Kobayashi, Mariko; Kumada, Hiromitsu; Tanaka, Junko; Chayama, Kazuaki
Abstract
Background Even though both interferon (IFN)-based and direct-acting antiviral (DAA) therapies against hepatitis C virus (HCV) reduce the risk of hepatocellular carcinoma (HCC), post-sustained virological response (SVR) patients remain at elevated risk of HCC. Methods A total of 4620 patients who achieved SVR were enrolled in this retrospective cohort study. After excluding patients who had a history of HCC or developed HCC within 1 year and whose follow-up period was less than 1 year and who were positive for HBsAg, we investigated the association between clinical characteristics and HCC development after SVR in the remaining 3771 patients. Results Median observation period was 41 months. We confirmed known risk factors. In addition, we found thatPNPLA3andHLA-DQB1polymorphisms were associated with HCC after SVR. Finally, we propose an estimation model for the incidence of HCC after SVR. Based on gender, FIB-4 index, AFP, andPNPLA3polymorphism, about 18% of all patients were classified as having high risk, with a cumulative incidence rate (CIR) at 5 years of 16.5%. Another 17% were classified as having moderate risk with a CIR of 7.6%. The remaining 65% showed a CIR of 0.5%. The effect ofPNPLA3polymorphism might be more pronounced in patients with lower body mass index (BMI) and without diabetes mellitus compared to those with higher BMI and diabetes mellitus. Conclusions We demonstrated thatPNPLA3andHLA-DQB1polymorphisms were associated with HCC after SVR. These findings might be useful to inform risk stratification for HCC surveillance after SVR.
Integral water capacity (IWC) and least limiting water range (LLWR): prediction using plant growth indices and soil properties
3 BIOTECH
Authors: Kazemi, Sana; Nasiri, Mehdi; Asgari Lajayer, Behnam; Hatami, Mehrnaz
Abstract
Soil water availability is an important field of study in soil water and plant relationship. Least limiting water range (LLWR) and integral water capacity (IWC) are two important concepts which are used for water availability to plant. LLWR is determined from four moisture coefficients (theta(AFP),theta(FC),theta(SR),theta(PWP)) that are the soil water contents 10% air-filled porosity (AFP), at field water capacity (FC), 2 MPa penetration resistance (SR), and permanent wilting point (PWP), respectively. The computation is dependent on critical values, so IWC was introduced to avoid using the critical limits that sharply rises in a cut-off from 0 to 1 at the wet end of water release curve or sharply falls from 1 to 0 at the dry side in the previous concepts of water availability for plant. IWC is the integral of differential water capacity function (C(h)) in the amplitude of 0 to infinity soil matric potential (h) multiplied by some weighting functions (omega(i)(h)) each considering the effect of various soil limitations on water availability to plants. Up to now, the effect of different soil attributes and the tillage treatments have been reviewed on LLWR. The effect of soil various physical and chemical limitations such as soil hydraulic conductivity (K(h)), aeration, SR, and salinity has been considered on IWC computation. LLWR and especially IWC have been seldom studied using plant real response. Results of few studies about LLWR and IWC using stomatal conductance and canopy temperature showed that their values were considerably different with those computed based on previously introduced critical limits for LLWR and weighting functions for IWC. These differences indicate that the critical limits proposed by da Silva et al. (Soil Sci Soc Am J 58:1775-1781, 1994) and weighting functions by Groenevelt et al. (Aust J Soil Res 39:577-598, 2001) may not be applied indiscriminately for all plants and should to be modified according to plant response. Physiological characteristics like transpiration and photosynthesis rate, chlorophyll index, leaf water potential, and relative water content also could be appropriate indices for monitoring plant water status and computation the real value of LLWR and IWC in the field or greenhouse for various types of plants.