Hepatocyte growth factor and soluble cMet levels in plasma are prognostic biomarkers of mortality in patients with severe acute kidney injury

( Lilin Li ),( Jung Nam An ),( Jeonghwan Lee ),( Dong Jin Shin ),( Shi Mao Zhu ),( Jin Hyuk Kim ),( Dong Ki Kim ),( Dong-ryeol Ryu ),( Sejoong Kim ),( Jung Pyo Lee ) 대한신장학회 2021 Kidney Research and Clinical Practice Vol.40 No.4

Background: Hepatocyte growth factor (HGF)/cMet pathway is necessary for repair and regeneration following acute kidney injury (AKI). We evaluated the clinical potential of plasma HGF and soluble cMet as prognostic biomarkers for severe AKI requiring continuous renal replacement therapy (CRRT). Methods: One hundred thirty-six patients with severe AKI who participated in the VENUS (volume management under body composition monitoring in critically ill patients on CRRT) trial between 2017 and 2019 were enrolled in this study. We investigated associations between plasma HGF and cMet concentrations and all-cause mortality. Results: Plasma HGF and soluble cMet levels were positively correlated. Patients were divided into three groups based on their HGF and soluble cMet concentrations. The day D 0, D2, and D7 highest concentration HGF groups had significantly higher in-hospital mortality after adjusting for sex, body mass index, Acute Physiology and Chronic Health Evaluation II, and age-adjusted Charlson comorbidity index score, especially on D7 (hazard ratio, 4.26; 95% confidence interval, 1.71-10.62; p = 0.002). D7 soluble cMet level was also associated with mortality. Receiver operating characteristic curve analysis indicated that D7 HGF and soluble cMet levels were best at predicting mortality. Addition of plasma HGF and soluble cMet to conventional prognostic indices significantly improved the predictive value for mortality on D7. However, plasma HGF and soluble cMet were not associated with fluid status. Conclusion: Plasma HGF and soluble cMet levels were significant predictors of the outcomes of severe AKI patients undergoing CRRT. There was no correlation between plasma HGF and soluble cMet levels and fluid balance.

Research on Construction of Enterprise Informatization based on Model of Multi-agent RigidFormation

Li Sun,Ying Liu,Qiang Qu,Lilin Ma,Guang Yang,Hu Cao 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.6

Enterprise informatization is a large system including: input, output, feedback, operation inside, executive action and incentive measures. Inner-enterprise can be seemed as an artificially social organization unit composing of various agents in a rigid formation. This paper mainly proposes an enterprise informatization associated with rigid formation theory of multi-agent. The connection between agents and enterprise factors is represented. The relationship between enterprise factors is described by potential function theory: the attractive force presents that all factors have the same opinion, and the repulsive force presents that all factors have the different opinion needed to be solved. Finally, the simulation proves that the model mentioned in this paper is effective.

YTHDF1 promotes the proliferation, migration, and invasion of prostate cancer cells by regulating TRIM44

Li Weijian,Chen Gaohuang,Feng Zhenyu,Zhu Baoyi,Zhou Lilin,Zhang Yuying,Mai Junyan,Jiang Chonghe,Zeng Jianwen 한국유전학회 2021 Genes & Genomics Vol.43 No.12

Background Prostate cancer (PCa) is one of the most common malignancies in men. YTHDF1 may play an important role in promoting PCa progression, but there is no reports to date on YTHDF1 function in PCa. Objective This study explored whether YTHDF1 could regulate TRIM44 in PCa cells. Methods By querying the TCGA database, we evaluated YTHDF1 expression in PCa, the OS and DFS of YTHDF1, and the correlation between YTHDF1 and TRIM44 in PCa. We constructed vectors to interfere with YTHDF1 expression and overexpress TRIM44 to examine the role of YTHDF1 and TRIM44 in PCa cells. Diferentially expressed mRNAs were identifed by mRNA sequencing. The levels of YTHDF1, TRIM44, LGR4, SGTA, DDX20, and FZD8 were measured by qRT-PCR and WB was used to determine YTHDF1 and TRIM44 expression. A CCK-8 assay was used to assess cell proliferation. A Transwell chamber assay was used measure cell migration and invasion ability. Results YTHDF1 was highly expressed in both Pca tissues and cells. PCa patient prognosis with high YTHDF1 expression was relatively poor. Cell function experiments showed that inhibiting YTHDF1 expression decreased cell proliferation, migration, and invasion. RNA sequencing analysis revealed that YTHDF1 may promote PCa cell proliferation, migration, and invasion by modulating TRIM44 expression. Cell function experiments further verifed that YTHDF1 promoted PCa cell proliferation, migration, and invasion by regulating TRIM44. Conclusions YTHDF1 enhances PCa cell proliferation, migration, and invasion by regulating TRIM44.

The FOXO1 Gene-Obesity Interaction Increases the Risk of Type 2 Diabetes Mellitus in a Chinese Han Population

Lilin Gong,Rong Li,Wei Ren,Zengchan Wang,Zhihong Wang,Maosheng Yang,Suhua Zhang 대한의학회 2017 Journal of Korean medical science Vol.32 No.2

Here, we aimed to study the effect of the forkhead box O1-insulin receptor substrate 2 (FOXO1-IRS2) gene interaction and the FOXO1 and IRS2 genes-environment interaction for the risk of type 2 diabetes mellitus (T2DM) in a Chinese Han population. We genotyped 7 polymorphism sites of FOXO1 gene and IRS2 gene in 780 unrelated Chinese Han people (474 cases of T2DM, 306 cases of healthy control). The risk of T2DM in individuals with AA genotype for rs7986407 and CC genotype for rs4581585 in FOXO1 gene was 2.092 and 2.57 times higher than that with GG genotype (odds ratio [OR] = 2.092; 95% confidence interval [CI] = 1.178–3.731; P = 0.011) and TT genotype (OR = 2.571; 95% CI = 1.404–4.695; P = 0.002), respectively. The risk of T2DM in individuals with GG genotype for Gly1057Asp in IRS2 gene was 1.42 times higher than that with AA genotype (OR = 1.422; 95% CI = 1.037–1.949; P = 0.029). The other 4 single nucleotide polymorphisms (SNPs) had no significant association with T2DM (P > 0.05). Multifactor dimensionality reduction (MDR) analysis showed that the interaction between SNPs rs7986407 and rs4325426 in FOXO1 gene and waist was the best model confirmed by interaction analysis, closely associating with T2DM. There was an increased risk for T2DM in the case of non-obesity with genotype combined AA/CC, AA/AC or AG/AA for rs7986407 and rs4325426, and obesity with genotype AA for rs7986407 or AA for rs4325426 (OR = 3.976; 95% CI = 1.156–13.675; P value from sign test [Psign] = 0.025; P value from permutation test [Pperm] = 0.000–0.001). Together, this study indicates an association of FOXO1 and IRS2 gene polymorphisms with T2DM in Chinese Han population, supporting FOXO1-obesity interaction as a key factor for the risk of T2DM.

On p-th Moment Exponential Stability for Stochastic Cellular Neural Networks with Distributed Delays

Changjin Xu,Lilin Chen,Peiluan Li 제어·로봇·시스템학회 2018 International Journal of Control, Automation, and Vol.16 No.3

In this paper, a class of stochastic cellular neural networks with distributed delays are investigated. With the help of the method of variation parameter and inequality techniques, some sufficient conditions for the p-th moment exponential stability of the system are established. An example is given to illustrate the feasibility and effectiveness of our main results. Our results obtained in this paper improve and generalize some earlier works reported in the literature.

Urine myo-inositol as a novel prognostic biomarker for diabetic kidney disease: a targeted metabolomics study using nuclear magnetic resonance

( Soie Kwon ),( Jin Seong Hyeon ),( Youngae Jung ),( Lilin Li ),( Jung Nam An ),( Yong Chul Kim ),( Seung Hee Yang ),( Tammy Kim ),( Dong Ki Kim ),( Chun Soo Lim ),( Geum-sook Hwang ),( Jung Pyo Lee ) 대한신장학회 2023 Kidney Research and Clinical Practice Vol.42 No.4

Background: As a leading cause of chronic kidney disease, clinical demand for noninvasive biomarkers of diabetic kidney disease (DKD) beyond proteinuria is increasing. Metabolomics is a popular method to identify mechanisms and biomarkers. We investigated urinary targeted metabolomics in DKD patients. Methods: We conducted a targeted metabolomics study of 26 urinary metabolites in consecutive patients with DKD stage 1 to 5 (n = 208) and healthy controls (n = 26). The relationships between estimated glomerular filtration rate (eGFR) or urine protein-creatinine ratio (UPCR) and metabolites were evaluated. Multivariate Cox analysis was used to estimate relationships between urinary metabolites and the target outcome, end-stage renal disease (ESRD). C statistics and time-dependent receiver operating characteristics (ROC) were used to assess diagnostic validity. Results: During a median 4.5 years of follow-up, 103 patients (44.0%) progressed to ESRD and 65 (27.8%) died. The median fold changes of nine metabolites belonged to monosaccharide and tricarboxylic acid (TCA) cycle metabolites tended to increase with DKD stage. Myo-inositol, choline, and citrates were correlated with eGFR and choline, while mannose and myo-inositol were correlated with UPCR. Elevated urinary monosaccharide and TCA cycle metabolites showed associations with increased morality and ESRD progression. The predictive power of ESRD progression was high, in the order of choline, myo-inositol, and citrate. Although urinary metabolites alone were less predictive than serum creatinine or UPCR, myo-inositol had additive effect with serum creatinine and UPCR. In time-dependent ROC, myo-inositol was more predictive than UPCR of 1-year ESRD progression prediction. Conclusion: Myo-inositol can be used as an additive biomarker of ESRD progression in DKD.

Impact of health-related quality of life on survival after dialysis initiation: a prospective cohort study in Korea

( Jeonghwan Lee ),( Yong Chul Kim ),( Soie Kwon ),( Lilin Li ),( Sohee Oh ),( Do Hyoung Kim ),( Jung Nam An ),( Jang-hee Cho ),( Dong Ki Kim ),( Yong-lim Kim ),( Yun Kyu Oh ),( Chun Soo Lim ),( Yon Su 대한신장학회 2020 Kidney Research and Clinical Practice Vol.39 No.4

Background: The effect of each health-related quality of life (HRQOL) component on hemodialysis prognosis has not been well studied. We aimed to investigate the clinical factors associated with HRQOL and the effect of HRQOL after dialysis initiation on long-term survival in an Asian population. Methods: A total of 568 hemodialysis patients were included from a nationwide prospective cohort study. HRQOL was evaluated using the Kidney Disease Quality of Life (KDQOL) Short FormTM 1.3 at 3 months after dialysis initiation. The effect of each KDQOL item score on mortality was analyzed. Multivariable Cox analysis was performed after adjusting for age, sex, modified Charlson comorbidity index, and causes of primary kidney disease. Results: Old age, diabetes mellitus, high comorbidities, and low serum albumin levels were associated with poor physical health status. Decreased urine output was associated with both poor physical and mental health status. The scores of 3 indices in the kidney disease domain (effect of kidney disease, social support, and dialysis staff encouragement) showed significant associations with mortality, as did the 3 indices (physical function, physical role limitation, and body pain) in the physical health domain. Neither the 4 indices in the mental health domain nor the mental composite score showed a significant association with mortality. However, a high physical composite score was associated with decreased overall patient mortality (P = 0.003). The effect of physical composite score on survival was prominent among young or middle-aged groups. Conclusion: Poor physical health status 3 months after hemodialysis start correlates significantly with overall mortality.

Mapping Risk Strategy of Social Stability Risk Considering Causal Relationships for Energy Infrastructure Projects

Ting Yuan,Tengfei Huo,Haie Huo,Xianjie Fang,Lilin Li,Miao Chen,Li Yu 대한토목학회 2023 KSCE Journal of Civil Engineering Vol.27 No.11

Social stability risk posed by energy infrastructure projects can seriously affect urban sustainable development. There is thus a need to better understand how risk strategies are designed. However, there is few considerations on risk strategy design by breaking causal relationships. This research innovatively explores social stability risk variables by content mining, develops causal relationships of the social stability risk variables via Fault Tree Analysis (FTA) method, explores core risk variables and critical causal relationships by social network analysis (SNA) method, designs and validates risk strategies. The findings show that: 1) From the overall risk network perspective, the risk network contain 8 core risk variables. 2) From individual risk network perspective, there are 75 critical causal relationships. The top 3 critical causal relationships contain: projects that destroy the cultural landscape would be regarded as threating national security, which often inspires demonstrations among the local people and the line betweenness is the largest (35.589). Traffic congestion by the project is the main reason to cause local small-scale public petition, and the line betweenness is 35.075. Projects that threaten the ecological environment often bring psychological rejection of the project by the local public, and the line betweenness is 30.837. 3) Two scenarios are evaluated in terms of basic scenario and the experiment group scenario. Compared with the basic scenario, risk strategies considering causal relationships have significant effectiveness. The overall risk network density has reduced by 35.22%. The clustering coefficients has decreased by 16.20%. Intermediate central potential has reduced by 9.49%. This study offers a good reference for project managers to complete the sustainable risk control.

Evaluation Fine-heat Symptoms and Adverse Reaction of Different Ginseng Species in Oral Administration for Healthy Subject

Li Lin,Jun Xiong,Wanyao Li,Bingfeng Xing 한국약용작물학회 2012 한국약용작물학회 학술대회논문집 Vol.2012 No.2

Efficient Query Integrity Protection for Multi-tenant Database

Li Lin,Li Qingzhong,Kong Lanju,Shi Yuliang 보안공학연구지원센터 2014 International Journal of Database Theory and Appli Vol.7 No.3