甲状腺素对动脉瘤性蛛网膜下腔出血大鼠脑缺氧诱导因子-1α表达的影响及其机制*

目的:探讨甲状腺素(T4)对动脉瘤性蛛网膜下腔出血后大鼠脑缺氧诱导因子-1α(HIF-1α)表达的调节及其机制。方法:72只雄性成年SD大鼠随机分为以下4组:蛛网膜下腔出血模型组(SAH)(n=18)、蛛网膜下腔出血+甲状腺素组(SAH+T4)(n=18)、蛛网膜下腔出血+溶剂组(SAH+溶剂组)(n=18)、假手术组(n=18)。颈内动脉穿刺法建立蛛网膜下腔出血的模型,术后行颅脑CT平扫,建模后立即开始给药,按3 μg/100 g腹腔注射,每隔24 h一次,连续3 d,SAH+T4组予甲状腺素干预,SAH+溶剂组予等体积溶剂干预,均在建模后72 h处死;各组6只大鼠经多聚甲醛灌注处死后石蜡包埋切片行免疫组化染色检测HIF-1α及p-Akt蛋白、6只用TUNEL法检测凋亡,6只用干湿重法做脑水肿含量检测。结果:建模成功后SAH组及SAH+T4组、SAH+溶剂组大鼠的脑组织肿胀明显,蛛网膜下腔可见暗红色血凝块。SAH组神经行为学评分、脑含水量、凋亡率、HIF-1α蛋白、p-Akt蛋白均较假手术组明显增高(P＜0.05);SAH+T4组神经行为学评分、HIF-1α蛋白、p-Akt蛋白均较SAH组明显增高,其脑含水量、凋亡均较SAH组明显减少(P＜0.05)。结论:使用T4替代治疗可以上调动脉瘤性蛛网膜下腔出血后大鼠脑HIF-1α蛋白表达水平,可能是通过激活三磷酸肌醇激酶／蛋白激酶B(PI3K/Akt)信号通路,使凋亡率减小,最终大鼠行为学得以改善,对大鼠脑产生保护作用。     

海洋酸化对微藻关键生理过程的调控机制及环境因素的影响

人类活动排放大量的CO₂通过海气界面进入海洋,打破原有海水碳酸盐平衡进而造成海洋酸化(OA)。OA会影响海水和海洋污染物的理化性质,进而对生活在海洋表层的浮游藻类生理过程产生显著调控作用。海洋微藻作为海洋中主要的初级生产者,其生理功能与过程的正常进行对于海洋生态系统具有重要作用。本文综述了OA对海洋微藻光合固碳、钙化过程、固氮作用3个关键生理过程的调控作用和具体机制,总结了OA条件下,环境因素(如太阳辐射、温度、营养元素)对微藻生理过程和生长的影响,以及OA通过改变典型海洋污染物(如有机污染物、重金属、微塑料)的环境行为而对微藻生理过程的调控作用。最后,结合研究现状,对未来需要开展的研究方向进行展望。本文为进一步了解OA对海洋生态系统的潜在影响提供了重要信息。     

化龙山七筋姑种内二倍体与四倍体表型分化分析

七筋姑(Clintonia udensis Trautv. et Mey.)属百合科(Liliaceae)七筋姑属(Clintonia Raf.),多年生草本,具有二倍体(2n=14)和四倍体(4n=28)两种倍性。在陕西化龙山地区,二倍体主要分布在南坡海拔2 450 m处,四倍体主要生长在北坡海拔1 900 m左右,成为研究种内多倍体分化的理想材料。该研究从七筋姑营养和繁殖系统出发,研究其不同倍性的表型分化,揭示不同倍性的生态适应特征,为阐明七筋姑种内多倍体的演化提供线索。研究表明：(1)在根、茎、叶、花、果实、种子的11个性状中,二倍体的果实体积性状最为稳定(CV=0.02),叶长性状遗传多样性最高(CV=0.85);四倍体中果实体积性状也最为稳定(CV=0.06),而花数量性状多样性最高(CV=0.42)。(2)四倍体的果实体积平均值明显高于二倍体,但种子数量平均值显著少于二倍体,果实体积和种子体积性状在不同倍性间的分化占比最高(V_st=0.69)。(3)四倍体营养器官表型性状的遗传变异丰富度低于二倍体,其平均变异系数(CV=0.16)小于二倍体的变异系数(CV=0.44);在繁殖系统表型性状中,四倍体的遗传变异丰富度高于二倍体,平均变异系数(CV=0.30)大于二倍体(CV=0.26)。(4)显著性分析表明,二倍体与四倍体表型性状差异显著(P<0.05),而繁殖系统性状在不同倍性间无显著差异(P>0.05);PCA分析同样显示二倍体与四倍体间存在明显差异。四倍体显著的表型差异是对低海拔环境长期适应的结果。     

以青砖茶为原料的果茶饮料制备

以青砖茶、新鲜苹果汁、西瓜汁和菠萝汁为主要原料进行果茶饮料的研制,采用单因素试验及正交分析试验对果茶饮料的配方进行工艺优化,以感官评价和吸光值为评定指标,确定果茶饮料的最佳配方。结果表明,体积比分别为8∶2的茶汤与苹果汁的混合汁、5∶5的茶汤与西瓜汁的混合汁和3∶7的茶汤与菠萝汁的混合汁混匀调配出的茶饮料的口感最佳,色泽清透,且香气较佳。本研究为黑茶果茶饮料的研 制提供了理论依据。     

The correlation of microRNA-499 rs3746444 T>C locus with the susceptibility of gastric cancer: from a case–control study to a meta-analysis

The relationship between rs3746444 T>C single-nucleotide polymorphism (SNP) in microRNA (mir)-499 and risk of gastric cancer (GC) has been widely investigated. However, the association was still unconfirmed. Here, we first recruited 490 GC patients and 1476 controls, and conducted a case-control study. And we did not find any association between rs3746444 T>C SNP polymorphism and risk of GC. Subsequently, we conducted a meta-analysis to explore the association of mir-499 rs3746444 polymorphism with GC development. Two authors searched the PubMed and EMBASE databases up to October 15, 2019 independently. Finally, nine literatures involving 12 independent studies were included. In total, 3954 GC cases and 9745 controls were recruited for meta-analysis. The results suggested that allele model, homozygote model and recessive model could increase the risk of overall GC (P = 0.002, 0.009 and 0.013, respectively). When we excluded the studies violated HWE, this association was also found in allele model (P = 0.020) and dominant model (P= 0.044). In subgroup analyses, we identified that rs3746444 SNP in mir-499 increased the risk of GC in Asians and gastric cardiac adenocarcinoma (GCA) subgroups. No significant bias of selection was found (all P>0.1). Test of sensitivity analysis indicated that our findings were stable. Additionally, we found that the power value was 0.891 in the allele model, suggesting the reliability of our findings. In summary, our analysis confirmed the association between rs3746444 and the risk of GC, especially in Asians and in patients with GCA.     

Integrated analysis of ceRNA network and tumor-infiltrating immune cells in esophageal cancer

Background: Esophageal cancer (ESCA) is one of the most commonly diagnosed cancers in the world. Tumor immune microenvironment is closely related to tumor prognosis. The present study aimed at analyzing the competing endogenous RNA (ceRNA) network and tumor-infiltrating immune cells in ESCA.Methods: The expression profiles of mRNAs, lncRNAs, and miRNAs were downloaded from the Cancer Genome Atlas database. A ceRNA network was established based on the differentially expressed RNAs by Cytoscape. CIBERSORT was applied to estimate the proportion of immune cells in ESCA. Prognosis-associated genes and immune cells were applied to establish prognostic models basing on Lasso and multivariate Cox analyses. The survival curves were constructed with Kaplan–Meier method. The predictive efficacy of the prognostic models was evaluated by the receiver operating characteristic (ROC) curves.Results: The differentially expressed mRNAs, lncRNAs, and miRNAs were identified. We constructed the ceRNA network including 23 lncRNAs, 19 miRNAs, and 147 mRNAs. Five key molecules (HMGB3, HOXC8, HSPA1B, KLHL15, and RUNX3) were identified from the ceRNA network and five significant immune cells (plasma cells, T cells follicular helper, monocytes, dendritic cells activated, and neutrophils) were selected via CIBERSORT. The ROC curves based on key genes and significant immune cells all showed good sensitivity (AUC of 3-year survival: 0.739, AUC of 5-year survival: 0.899, AUC of 3-year survival: 0.824, AUC of 5-year survival: 0.876). There was certain correlation between five immune cells and five key molecules.Conclusion: The present study provides an effective bioinformatics basis for exploring the potential biomarkers of ESCA and predicting its prognosis.     

The involvement of bioactive factors in the self-renewal and stemness maintenance of spermatogonial stem cells

Molecular and Cellular Biochemistry - Spermatogenesis is usually accompanied throughout mammalian lifetime, transmitting genetic information to the next generation, which is mainly dependent on the...