Objective To investigate the expression of apolipoprotein M in rats after renal transplantation and its role and action mechanism in acute rejection (AR).Methods The kidney transplantation model in rats were established.Male SD and Wistar rats were used as donors,and Wistar rats as recipients.Three groups were designated:control group (syngeneic transplantation,n =24,recipients were treated with normal saline i.p.); AR group (allogeneic transplantation,n =24,recipients were treated with normal saline i.p.); PDTC group [allogeneic transplantation,n =24,recipients were treated with NF-κB inhibitor-pyrrolidine dithiocarbamat (PDTC) i.p.].The renal grafts were drawn at day 1,3,5 and 7 post-transplantation,and the expression levels of NF-κB P65 and apoM protein were detected by using Western blotting,and those of apoM,perforin and granzyme B mRNA were by using real-time PCR.The correlation of apoM and NF-κB,apoM and perforin,and apoM and granzyme B was respectively analyzed.Results As compared with control group,the expression levels of apoM,perforin and granzyme B mRNA in AR and PDTC groups were dramatically up-regulated at each time point (P＜0.01),and those in PDTC group were significantly lower than those in AR group (P＜0.01).The expression levels of apoM and NF-κB protein in AR group were both distinctly higher than those in control group (P＜0.01),and those in PDTC group were markedly lower than those in AR group (P＜0.01).A significantly positive correlation was found between the expression of apoM and NF-κB protein (r =0.469,P＜0.05).And the expression of apoM mRNA was positively correlated to perforin and granzyme B mRNA (r =0.731,P＜0.01 ; r =0.514,P＜0.05).Conclusion The expression of apoM is obviously up-regulated in renal grafts of rats,which may take part in the pathogenesis of AR via NF-κB.

Objective:To investigate the value of immune inflammatory index in predic-ting the therapeutic efficacy of neoadjuvant chemoradiotherapy for esophageal squamous cell carci-noma (ESCC).Methods:The retrospective case-control study was conducted. The clinicopatholo-gical data of 163 patients with ESCC who were admitted to Zhongshan Hospital of Fudan University from December 2015 to December 2020 were collected. There were 135 males and 28 females, aged (62±8)years. All 163 patients underwent neoadjuvant chemoradiotherapy and radical resection for ESCC. Observation indicators: (1) relationship between immune inflammatory index and clinical characteristic in patients; (2) relationship between immune inflammatory index and efficacy of neoadjuvant chemoradiotherapy in patients; (3) influencing factor analysis for pathologic complete response and good response of tumor regression grade after neoadjuvant chemoradiotherapy; (4) efficiency of immune inflammatory index in predicting efficacy of neoadjuvant chemoradiotherapy. Measurement data with normal distribution were represented as Mean± SD. Count data were described as absolute numbers, and comparison between groups was conducted using chi-square test. Comparison of ordinal data was conducted using the rank sum test. The receiver operating characteristic (ROC) curve was used to determine the optimal cut-off value. Univariate and multi-variate analyses were conducted using the Logistic regression model. The area under the curve (AUC) of ROC curve was used to evaluate the efficiency of predictive model. Results:(1) Relationship between immune inflammatory index and clinical characteristic in patients. ① Optimal cut-off value of systemic immune-inflammation index (SII), neutrophil-lymphocyte ratio (NLR), platelet-lympho-cyte ratio (PLR). Results of ROC curve analysis showed that the AUC of SII, NLR, PLR in predicting efficacy of neoadjuvant chemoradiotherapy for patients with ESCC was 0.70(95% confidence interval as 0.61?0.77), 0.78(95% confidence interval as 0.69?0.84), 0.79(95% confidence interval as 0.70?0.85), respectively, with the maximum value of Youden index and the optimal cut-off value as 0.25, 0.32, 0.52 and 446×10 9/L, 2.09, 138. ② Relationship between SII, NLR, PLR and clinical charac-teristic in patients. According to the optimal cut-off value of SII, NLR, PLR, all 163 patients were divided into cases with SII <446×10 9/L as 99, cases with SII ≥446×10 9/L as 64, cases with NLR <2.09 as 107, cases with NLR ≥2.09 as 56, cases with PLR<138 as 88, cases with PLR ≥138 as 75, respectively. There was a significant difference in clinical N staging of tumor in patients with SII <446×10 9/L and SII ≥446×10 9/L ( P<0.05). There were significant differences in clinical N staging and clinical TNM staging of tumor in patients with NLR<2.09 and NLR≥2.09 ( P<0.05). (2) Relationship between immune inflammatory index and efficacy of neoadjuvant chemoradiotherapy in patients. Of 163 patients undergoing neoadjuvant chemoradiotherapy, there were 54 cases with pathologic complete response and 109 cases without pathologic complete response, 94 cases with good response of tumor regression grade and 69 cases with poor response of tumor regression grade. Of the 54 patients with pathologic complete response, cases with SII <446×10 9/L and SII ≥446×10 9/L, cases with NLR <2.09 and NLR ≥2.09, cases with PLR <138 and PLR ≥138 before neoadjuvant chemoradiotherapy were 42 and 12, 47 and 7, 48 and 6, respectively. The above indicators were 57 and 52, 60 and 49, 40 and 69 in the 109 cases without pathologic complete response. There were significant differences in the above indicators between patients with pathologic complete response and without pathologic complete response ( χ2=9.83, 16.39, 39.60, P<0.05). Of the 94 cases with good response of tumor regression grade, cases with SII <446×10 9/L and SII ≥446×10 9/L, cases with NLR <2.09 and NLR ≥2.09, cases with PLR <138 and PLR ≥138 before neoadjuvant chemoradiotherapy were 59 and 35, 78 and 16, 56 and 38, respectively. The above indicators were 40 and 29, 29 and 40, 32 and 37 in the 69 cases with poor response of tumor regression grade. There was no significant difference in the SII and PLR ( χ2=0.38, 2.79, P>0.05) and there was a significant difference in the NLR ( χ2=29.59, P<0.05) between patients with good response of tumor regression grade and poor response of tumor regre-ssion grade. (3) Influencing factor analysis for pathologic complete response and good response of tumor regression grade after neoadjuvant chemoradiotherapy. Results of multivariate analysis showed that PLR <138 before neoadjuvant chemoradiotherapy was an independent protective factor for pathologic complete response in ESCC patients undergoing neoadjuvant chemoradiotherapy ( odds ratio=1.98, 95% confidence interval as 1.56?2.51, P<0.05) and NLR <2.09 before neoadjuvant chemo-radiotherapy was an independent protective factor for good response of tumor regression grade ( odds ratio=2.50, 95% confidence interval as 1.40?4.46, P<0.05). (4) Efficiency of immune inflam-matory index in predicting efficacy of neoadjuvant chemoradio-therapy. The AUC of PLR <138 before neoadjuvant chemoradiotherapy in predicting pathologic complete response of ESCC patients undergoing neoadjuvant chemoradiotherapy was 0.79(95% confidence interval as 0.64?0.87, P<0.05), with the sensitivity, specificity and Youden index as 0.89, 0.63 and 0.52, respectively. The AUC of NLR <2.09 before neoadjuvant chemoradiotherapy in predic-ting good response of tumor regression grade of ESCC patients undergoing neoadjuvant chemoradio-therapy was 0.76 (95% confidence interval as 0.64?0.81, P<0.05), with the sensitivity, specificity and Youden index as 0.83, 0.58 and 0.41, respectively. Conclusion:The PLR<138 and NLR <2.09 before neoadjuvant chemoradiotherapy are independent protective factors for the pathologic complete response and good response of tumor regression grade, respectively, of ESCC patients undergoing neoadjuvant chemoradiotherapy, and both of them can predict the curative effect of neoadjuvant chemoradiotherapy well.

Ovary is a vital female gonadal organ.It not only provides gametes for reproduction,but also secretes hormones to support and maintain the function of multiple systems.The decline of ovarian function is characterized by low fertility,early menopause,etc.It may even lead to dysfunction of multiple organs,which seriously damage women's health.Trace elements(TEs)play an important role in maintaining the normal ovarian function.When the TEs are unbalanced and cannot keep the ho-meostasis of ovary,inducing hormone secretion disorder,ovulatory disorder,decreased enzyme activity and histological changes of ovary.These changes lead to diminished ovarian function.Therefore,in-depth study on the role and mechanism of TEs in the regulation of ovarian function is conducive to understand the physiological function and prevent ovarian dysfunction.In this re-view,in combination with the research on the application of TEs at home and abroad in recent years,the relationship between TEs(iron,zinc,copper,selenium,iodine,cobalt,chromium,molybdenum)and ovarian function,as well as the mechanism of TEs affecting ovarian function are summarized,which will provide some theoretical guidance for the study of TEs in ovarian function in the future.