1.Progress in the study of the imaging genomics of Alzheimer's disease.
Journal of Biomedical Engineering 2019;36(1):140-145
With the exacerbation of aging population in China, the number of patients with Alzheimer's disease (AD) is increasing rapidly. AD is a chronic but irreversible neurodegenerative disease, which cannot be cured radically at present. In recent years, in order to intervene in the course of AD in advance, many researchers have explored how to detect AD as early as possible, which may be helpful for effective treatment of AD. Imaging genomics is a kind of diagnosis method developed in recent years, which combines the medical imaging and high-throughput genetic omics together. It studies changes in cognitive function in patients with AD by extracting effective information from high-throughput medical imaging data and genomic data, providing effective guidance for early detection and treatment of AD patients. In this paper, the association analysis of magnetic resonance image (MRI) with genetic variation are summarized, as well as the research progress on AD with this method. According to complexity, the objects in the association analysis are classified as candidate brain phenotype, candidate genetic variation, genome-wide genetic variation and whole brain voxel. Then we briefly describe the specific methods corresponding to phenotypic of the brain and genetic variation respectively. Finally, some unsolved problems such as phenotype selection and limited polymorphism of candidate genes are put forward.
2.Effects of Chaihu Shugan powder on hepatic lipid metabolism and AMPK/SIRT1 pathway in rats with non-alcoholic fatty liver disease
Yupei ZHANG ; Yuanjun DENG ; Chaofeng HU ; Li HAN ; Qinhe YANG ; Yinji LIANG ; Yilin KONG ; Yifang HE ; Ling JIN ; Yuanyuan LI ; Guanlong WANG ; Shaobing CHENG ; Guifang TU
Chinese Journal of Pathophysiology 2016;32(2):307-313
[ ABSTRACT] AIM:To investigate the effects of Chaihu Shugan powder ( CSP) on lipid metabolism and the pro-teins involved in adenosine 5’-monophosphate-activated protein kinase (AMPK)/sirtuin 1 (SIRT1) pathway in the liver tissues of the rats with non-alcoholic fatty liver disease (NAFLD).METHODS: Sprague-Dawley rats were randomly di-vided into normal control ( NC) group, with HFD ( HFD) group and CSP group.The NAFLD models were established by feeding with HFD for 16 weeks in the rats.The rats in CSP group were intragastrically administered with CSP extracts (9.6 g· kg-1 · d-1 ) , and blood and liver samples were collected 16 weeks later.Serum and liver levels of total cholesterol ( TC) and triglyceride ( TG) , and serum levels of alanine aminotransferase ( ALT) and aspartate aminotransferase ( AST) were measured using an automatic biochemical analyzer.The histological changes of liver tissues were observed with HE staining, while the lipid deposition was observed with Oil Red O staining.The ultrastructural changes of the liver tissues were observed under transmission electron microscope.Moreover, the protein levels of AMPK, phosphorylated AMPK (pAMPK), SIRT1 and uncoupling protein 2 (UCP2) in the liver were detected by Western blot.RESULTS:The results of HE staining, Oil Red O staining and electron microscopy demonstrated that NAFLD rat model was successfully estab-lished.Compared with NC group, the serum and liver levels of TC and TG, and serum level of AST in model group were markedly elevated ( P<0.01) .Moreover, the protein levels of pAMPK and SIRT1 in HFD group were markedly reduced (P<0.01), whereas UCP2 level was elevated (P<0.01).Furthermore, liver levels of TC and TG, and serum level of AST in GSP group were markedly reduced as compared with HFD group ( P<0.05 ) .The protein levels of pAMPK and SIRT1 were elevated ( P<0.05 ) , whereas the UCP2 level was reduced as compared with HFD group ( P<0.01 ) .The protein level of AMPK between the 3 groups had no significant difference.CONCLUSION: CSP attenuates hepatic lipid disorder and hepatic lipid deposition in NAFLD rats induced by feeding with HFD for 16 weeks, which is associated with the activation of AMPK/SIRT1 pathway.
3.Clinicopathological features and prognosis of immunoglobulin A nephropathy after renal transplantation
Tianjing ZHANG ; Pingfan LU ; Yuanjun DENG ; Yang CAI ; Lele LIU ; Chunjiang ZHANG ; Yiyan GUO ; Qian LI ; Na ZHU ; Beichen TIAN ; Min HAN
Chinese Journal of Organ Transplantation 2020;41(2):84-88
Objective:To summarize the relationship between the clinicopathological features and prognosis of immunoglobulin A nephropathy (IgAN) after renal transplantation.Methods:A total of 34 patients with IgAN after renal transplantation confirmed by renal biopsy were enrolled. And another 34 patients with primary IgAN confirmed by initial renal biopsy were adopted as controls. Clinical and pathological features of two groups were compared to explore the relationship between clinicopathological features and prognosis of allograft IgAN.Results:As compared with primary IgAN group, renal function in allograft IgAN group included serum creatinine [(158.5±75.9) vs (84.8±26.8) umol/L], urea nitrogen [(9.7±6.1) vs (5.2±1.4) mmol/L], uric acid [(406.7±87.8) vs (359.0±92.6) umol/L], estimated glomerular filtration rate {(57.4±25.4) vs (91.2±28.6) [ml/(min·1.73m 2)]}. All were statistically significantly higher ( P<0.05) while other parameters showed no differences. Pathologically, the proportion of T1 type (50.0% vs 17.6%) of renal tubular atrophy/interstitial fibrosis was significantly higher in allograft IgAN group than control group ( P<0.05). Furthermore, univariate and multivariate Logistic regression analyses were performed between various pathological parameters and prognosis in allograft IgAN patients. It indicated that the degree of mesangial hyperplasia of patients with transplanted IgAN had a significantly negative impact on the prognosis. Conclusions:The clinicopathological features of patients with allograft IgAN show no difference from those of patients with primary IgAN. And among patients with allograft IgAN, those with severe mesangial hyperplasia often have a worse prognosis.
4.Continuous lumbar drainage improves prognosis in patients with acute hydrocephalus after aneurysmal subarachnoid hemorrhage
Tangmin WEN ; Jun SU ; Jiahe TAN ; Yuanjun XIN ; Xudong CHE ; Yidan LIANG ; Jiewen DENG ; Xiaolin YANG ; Zhaohui HE
Journal of Army Medical University 2024;46(4):384-390
Objective To analyze the influence of drainage volume on prognosis of acute hydrocephalus(AHC)after aneurysmal subarachnoid hemorrhage(aSAH)by continuous lumbar drainage.Methods A retrospective trial was conducted on 82 AHC patients after aSAH admitted to the First Affiliated Hospital of Chongqing Medical University between January 2017 and January 2022.In 6 months after discharge,modified Rankin Scale(mRS)score was used to evaluate the prognostic outcomes.Univariate and multivariate logistic regression analyses were performed on demographic factors,severity of subarachnoid hemorrhage(SAH)at admission,medical history,cerebral vasospasm,and lumbar drainage data.Then a nomogram prediction model was constructed.Results Univariate analysis found that World Federation of Neurosurgical Societies(WFNS)score,Hunt-Hess grade,modified Fisher grade,time for continuous lumbar drainage,shunt dependence,cerebral vasospasm,and drainage volume were factors affecting the prognosis of the patients.Then logistic regression analysis revealed that high WFNS score(OR:3.25,95%CI:1.11~9.48),high modified Fisher grade(OR:3.66,95%CI:1.08~12.35),shunt dependence(OR:15.56,95%CI:1.22~198.57),and cerebral vasospasm(OR:22.24,95%CI:3.08~160.68)were independent predictors for mRS score,while volume of continuous lumbar drainage(OR:0.57,95%CI:0.40~0.82)was an independent protective factor.ROC curve analysis indicated a good predictive performance of the model(AUC=0.898,95%CI:0.935~0.861).Internal validation through Bootstrap method demonstrated excellent discriminatory ability of the model(C-index=0.950,95%CI:0.904~0.996;adjusted C-index:0.934).Conclusion Increased volume of lumbar drainage is an independent protective factor for poor prognosis following aSAH and can improve the prognosis of SAH patients.
5.Color Space Method Combined with Chemometrics to Determine Processing Degree of Angelicae Sinensis Radix Carbonisata
Liuying QIN ; Yao HUANG ; Lifan GAN ; Yuanjun LIU ; Congyou DENG ; Dongmei SUN ; Lijin LIANG ; Lin ZHOU
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(9):201-210
ObjectiveTo study the changing law of appearance color and physicochemical properties of Angelicae Sinensis Radix Carbonisata(ASRC) during the processing by color space method combined with statistical analysis, so as to provide reference for determining the processing endpoint and evaluating the quality of the decoction pieces. MethodsTaking processing time(4, 8, 12, 16 min) and temperature(180, 200, 220, 240 ℃) as factors, ASRC decoction pieces with different processing degrees were prepared in a completely randomized design. Then, the brightness value(L*), red-green value(a*), yellow-blue value(b*), and total chromaticity value (E*ab) of the decoction pieces were determined by spectrophotometer, the color difference value(ΔE) was calculated, and the data of colorimetric values were analyzed by discriminant analysis. At the same time, the pH, charcoal adsorption, and contents of tannins, 5-hydroxymethylfurfural(5-HMF), tryptophan, chlorogenic acid, ferulic acid, senkyunolide I, senkyunolide H and ligustilide of ASRC with different processing degrees were determined by pH meter, ultraviolet and visible spectrophotometry and ultra-high performance liquid chromatography(UPLC). Principal component analysis(PCA) was used to analyze the data of physicochemical indexes, after determining the processing technology of ASRC, the canonical discriminant function was established to distinguish the decoction pieces with different processing degrees, and leave-one-out cross validation was conducted. Finally, Pearson correlation analysis was used to explore the correlation between various physicochemical indexes and chromaticity values. ResultsWith the prolongation of the processing time, L*, a*, b* and E*ab all showed a decreasing trend, and the established discriminant model based on color parameters was able to distinguish ASRC with different processing degrees. The pH showed an increasing trend with the prolongation of processing time, and the charcoal adsorption, and the contents of tannins, 5-HMF, and tryptophan all showed an increasing and then decreasing trend. Among them, the charcoal adsorption, contents of tannin and 5-HMF reached their maximum values successively after processing for 8-12 min. While the contents of chlorogenic acid, ferulic acid, senkyunolide I, senkyunolide H and ligustilide decreased with the increase of processing time, with a decrease of 60%-80% at 8 min of processing. Therefore, the optimal processing time should be determined to be 8-12 min. PCA could clearly distinguish ASRC with different processing degrees, while temperature had no significant effect on the processing degree. The 12 batches of process validation results(10 min, 180-240 ℃) showed that except for 3 batches identified as class Ⅱ light charcoal, all other batches were identified as class Ⅲ standard charcoal, and the chromaticity values of each batch of ASRC were within the reference range of class Ⅱ-Ⅲ sample chromaticity values. The correlation analysis showed that the chromaticity values were negatively correlated with pH and charcoal adsorption, and positively correlated with contents of tryptophan, chlorogenic acid, ferulic acid, senkyunolide I, senkyunolide H, and ligustilide. And both pH and charcoal adsorption were negatively correlated with the contents of the above components, but the charcoal adsorption was positively correlated with the content of 5-HMF. ConclusionThe chromaticity values and the contents of various physicochemical indicators of ASRC undergo significant changes with the prolongation of processing time, and there is a general correlation between chromaticity values and various physicochemical indicators. Based on the changes in color and physicochemical indicators, the optimal processing time for ASRC is determined to be 8-12 min. This study reveals the dynamic changes of the relevant indexes in the processing of ASRC, which can provide a reference for the discrimination of the processing degree and the quantitative study of the processing endpoint.