1.Relationship between Homocysteine Levels in Patients with Acute Ischemic Stroke and Discharged Outcome
Yumei GUO ; Long MA ; Guotao PAN ; Lirong YANG ; Wenting BAI ; Chengyue BAO ; Xingcan JIN ; Liying LU ; Weijun TONG ; Mo ZHOU ; Hongmei LI ; Tan XU
Journal of Modern Laboratory Medicine 2016;31(5):23-26,29
Objective To investigate the relationship between plasma homocysteine on admission and the outcome at discharge of acute ischemic stroke.Methods A non-concurrent cohort study was performed and a total of 1 3 1 9 patients with acute is-chemic stroke were continuously included in this study.According to tertile range of plasma homocysteine,patients were di-vided into three group.Logistic regression analysis was used to assess the independent association between plasma homocys-teine on admission and poor outcome at discharge of acute ischemic stroke.Results The difference of plasma homocysteine on admission between the poor outcome and those with good outcome had statistical significance (P<0.000 1).Without the adj ustment of multiple factors,when comparing to the first group,the second and third tertile seemed to have a tendency of increasing the risk of poor outcome at discharge,the OR (95%CI)was 2.111 (1.297~3.437,P<0.05),2.113 (1.361~3.279,P<0.05).After adjustment for multivariate,the second and third tertile also seemed to have a tendency of increasing the risk of poor outcome at discharge,the OR (95%CI)was 1.876 (1.160~3.036,P<0.05),2.396 (1.414~4.062,P<0.05).Conclusion The current study indicated that higher plasma homocysteine level was an independent risk factor for poor outcome at discharge in ischemic stroke patients.It would increase the risk of the outcome at discharge in patients with acute ischemic stroke,and suggests that there is a dose-response relationship between plasma homocysteine level on admis-sion and the poor outcome at discharge.
2.Sciatic nerve leachate of cattle causes neuronal differentiation of PC12 cells via ERK1/2 signaling pathway
Ziqiang ZHANG ; Yumei LIU ; Xuemin ZHU ; Lan WEI ; Jiamin ZHU ; Ke SHI ; Guotao WANG ; Li PAN
Journal of Veterinary Science 2018;19(4):512-518
Previous studies have shown that the sciatic nerve has neurotrophic activity, and nerve regeneration, differentiation, and axon outgrowth can be modulated by different sciatic nerve preparations. However, numerous animals may have to be sacrificed to obtain enough sciatic nerves to make a sciatic nerve preparation. Some studies have demonstrated that the role of sciatic nerve preparations in neural differentiation depends on the neurotrophins that Schwann cells secrete, and these factors are highly conserved among different species. To reduce the use of experimental animals, in this study, we made a leachate by using the sciatic nerve of cattle and explored its effect on neuronal differentiation of rat PC12 cells (a useful model for studying neuronal differentiation). Results showed the neurite outgrowth of PC12 cells treated with the cattle sciatic nerve leachate for 3, 6, and 9 days was significantly improved, and the expressions of β3-tubulin and microtubule-associated protein 2 (two neuron-specific proteins) were increased. Moreover, the ERK1/2 signaling pathway was activated after PC12 cells were incubated with cattle sciatic nerve leachate for 9 days. Thus, a sciatic nerve leachate obtained from cattle can effectively induce neuronal differentiation of rat PC12 cells via ERK1/2 signaling pathway.
Animals
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Axons
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Cattle
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Microtubule-Associated Proteins
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Nerve Growth Factors
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Nerve Regeneration
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Neurites
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Neurons
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PC12 Cells
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Rats
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Schwann Cells
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Sciatic Nerve
3.Predictive value of atherogenic index of plasma in the assessment of acute pancreatitis
Yang PAN ; Xiamin TU ; Junxian ZHANG ; Xiaoyan LUO ; Qingxie LIU ; Jie LI ; Xin GAO ; Guotao LU ; Weiming XIAO
Journal of Chinese Physician 2023;25(3):360-364,369
Objective:To investigate the predictive value of atherogenic index of plasma (AIP) in the assessment of acute pancreatitis (AP).Methods:598 patients diagnosed with AP admitted to the Affiliated Hospital of Yangzhou University between January 2016 and December 2020 were recruited and divided into severe acute pancreatitis group (SAP group, n=57) and non-severe acute pancreatitis group (non SAP group, n=541) according to the Atlanta Classification (2012 revision). General clinical data and related biochemical indicators of all enrolled patients were collected, and Bedside Index of Acute Pancreatitis Severity (BISAP) score, Ranson score and CT Severity Index (CTSI) score were performed. The risk factors of SAP were analyzed by logistic regression. Receiver operating characteristic (ROC) curve was used to analyze the evaluation value of AIP and various scoring systems on the severity of pancreatitis. Results:The AIP, white blood cell (WBC), neutrophil count (NEUT), fasting blood glucose (FBG), serum total cholesterol (TC) level, proportion of hyperlipidemia, proportion of diabetes, Ranson score, BISAP score, CTSI score of patients in SAP group were higher than those in non SAP group, and the difference was statistically significant (all P<0.05). Multivariate logistic regression analysis showed that AIP was an independent risk factor for SAP ( P<0.05). ROC curve showed that the are under the curve (AUC) of SAP predicted by AIP was 0.706(95% CI: 0.631-0.782, P<0.001). Conclusions:AIP is an independent risk factor for SAP, which helps to assess the severity of AP.
4. Predictive Value of Systemic Immune⁃inflammation Index for Severe Acute Pancreatitis
Xiamin TU ; Yaoyao LI ; Yuanzhi WANG ; Yang PAN ; Jie LI ; Xin GAO ; Guotao LU ; Weiming XIAO ; Xiamin TU ; Yaoyao LI ; Yuanzhi WANG ; Xiaoyan LUO ; Yang PAN ; Jie LI ; Xin GAO ; Guotao LU ; Weiming XIAO ; Xiaoyan LUO
Chinese Journal of Gastroenterology 2022;27(2):92-96
Background: The systemic immune inflammation index (SII) is a reproducible biomarker of inflammatory process. Aims: To explore the predictive value of SII for severe acute pancreatitis (SAP). Methods: A total of 406 patients with acute pancreatitis (AP) from Jan. 2013 to Dec. 2020 at Affiliated Hospital of Yangzhou University were collected, and were divided into SAP group and non SAP group. ROC curve was drawn to evaluate the value of SII, NLR, PLR, CAR for predicting SAP. Results: Compared with non‑SAP group, SII, NLR, PLR, CAR were significantly increased in SAP group (P<0.05). When the best cut‑off value was 1 705.83, AUC of SII for predicting SAP was 0.754, the sensitivity was 75.47%, and the specificity was 69.12%. AUC of SII for predicting SAP was higher than that of PLR, CAR (Z=2.647, P=0.007; Z= 2.616, P=0.008), while no significant difference was found between SII and NLR (P>0.05). And no significant difference in AUC was found between PLR and CAR (P>0.05). Conclusions: SII is a good new hematological index that can be used to predict the severity of AP, its predictive ability is similar to NLR, better than PLR and CAR.