基因芯片在衣原体研究中的应用

基因芯片又称为DNA微阵列,是指将大量核酸片段以预先设计的方式固定在载体上组成密集分子阵列,与荧光素或其他方式标记的样品进行杂交,通过检测杂交信号的强弱来判断样品中有无靶分子以及对靶分子进行定量,是一种研究生物大分子功能的新技术。在衣原体研究方面,基因芯片主要应用于衣原体的检测与分型、感染机制的研究、特定基因作用分析、毒力及耐药基因的筛选等。     

不同灵芝菌株菌丝体乙醇提取物体外抑瘤活性的比较和机理

以人急性早幼粒白血病细胞HL-60细胞株作为模型,用MTT法测定生长抑制率,流式细胞Annexin Ⅴ实验和DNA含量法研究抑瘤机制,比较了8个灵芝Ganoderma lucidum菌株发酵菌丝体乙醇提取物的体外抗肿瘤活性和抑瘤机制。筛选结果得到了能产生高抑瘤活性乙醇提取物的灵芝菌株L5。其对HL-60细胞的抑制率为91.4±0.9%(72小时,125μg/mL); 作用48小时后,13.3%的细胞发生早期凋亡,G0/G1期细胞比例比对照组增加15.9%,而S期细胞比例则下降了8.4%,G2/M期细胞数减少7.6%。本研究证明了灵芝菌丝体乙醇提取物能有效抑制HL-60肿瘤细胞的体外生长,抑制率与菌株相关,其抑瘤机制与细胞G0/G1期阻滞和诱导凋亡有关。     

小鼠脑缺血再灌注模型的构建及条件优化

目的:构建小鼠的脑缺血再灌注模型,并对其进行优化。方法:通过对线栓法缺血再灌注脑损伤模型的各个因素的对比实验,在线拴位置、线径、进线深度、小鼠种类等方面对该方法进行了优化改进。结果:造模后的脑片经TTC染色,梗死区域清晰;神经功能评分的体征明显。现有条件下构建的小鼠MCAO模型,成功率可以达到80%以上,成活率可以达到90%以上。与对照组相比,小鼠MCAO模型组血清SOD活性及MDA水平有显著变化(P0.01)。结论:经改进和优化,小鼠脑缺血再灌注模型的成功率和成活率大大提高且症状明显,对缺血缺氧性神经损伤研究具有一定的参考价值。     

草本凋落物与尿素联合修复对油污土壤生物化学性质的影响

为研究植物残体配合施氮对石油污染土壤生物学和化学性质的综合修复能力,以紫花苜蓿(Medicago sativa)、铁杆蒿(Artemisia gmelinii)和小冠花(Coronilla varia)3种广泛分布于陕北石油污染区的草本植物凋落物为对象,分别在配合施氮调节土壤C∶N为25∶1和不配合施氮的条件下,将其与45.37 g/kg的重度石油污染土壤混合,在20—25℃、恒湿条件下进行为期180 d的室内修复试验,检测上述处理对油污土壤微生物数量、11种土壤水解酶和氧化还原酶活性以及速效N、P和K含量的影响。结果表明:(1)3种凋落物处理均可显著提高污染土壤中放线菌和真菌数量,蔗糖酶、淀粉酶、纤维素酶、木聚糖酶、脲酶、蛋白酶、磷酸酶、多酚氧化酶、过氧化氢酶和过氧化物酶活性以及速效养分含量,并显著降低土壤总石油烃含量。(2)配合施氮总体上显著强化了凋落物对污染土壤生化性质的修复作用,但对凋落物处理下木聚糖酶、脲酶、蛋白酶和脱氢酶活性和微生物数量的恢复可能产生不利影响。(3)单纯使用凋落物作为调理剂可以更为全面的修复油污土壤受损生化性质,具有高N和P含量、较低C/N、C/P比以及较低...     

择期经阴道宫颈环扎术与期待疗法治疗宫颈机能不全的效果比较

目的:比较择期经阴道宫颈环扎术以及期待疗法治疗宫颈机能不全的效果。方法:选择2017年10月~2019年10月我院收治的201例宫颈机能不全患者,将其随机分为两组。对照组100例患者采取期待疗法,即卧床休息,口服地屈孕酮,每次服用的剂量为10 mg,每日2次,一直服药到30孕周;观察组101例患者择期经阴道宫颈环扎术,比较两组的早产率、成功妊娠率、新生儿出生体重以及分娩孕周。结果:对照组100例宫颈机能不全患者中,22例患者流产(占22.00%),78例患者获得活婴(占78.00%),78例成功分娩的患者中,47例患者≥37周分娩,31例患者<37周分娩,早产率为39.74%(31/78)。观察组的101例患者中,8例患者流产(占7.92%),93例患者获得活婴(占92.08%)。93例成功分娩的患者中,81例患者≥37周分娩,12例患者<37周分娩,早产率为12.90%(12/93);12例早产的患者中,4例患者由于胎膜早破和胎儿窘迫,而在孕32~33周采取剖宫产手术,2例患者由于胎膜早破臀位,而在孕35~36周时采取剖宫产手术,6例患者在孕35~36周早产。观察组宫颈机能不全患者的早产率明显低于对照组(P<0.05),且成功妊娠率、新生儿出生体重以及分娩孕周明显高于或长于对照组(P<0.05)。结论:与期待疗法相比较,择期经阴道宫颈环扎术不但可以明显延长宫颈机能不全患者的分娩孕周,提高成功妊娠率,还能改善新生儿的预后、降低早产的风险。     

Limitations of population models in predicting climate change effects: a simulation study of sociable weavers in southern Africa

Current approaches for predicting climate change effects on populations comprise static models based on the geographical distribution of species, and dynamic population models based on the relationship between population processes and the recent variation in climate. Population models have the inherent advantage of considering a species’ response to climate as resulting from distinct mechanisms. However, they may have the disadvantage of considering only short‐term processes as they occur under the current climate, disregarding slowly adapting mechanisms. It would be important, however, to know whether slowly adapting processes occur, and whether they will respond to climate change. A way of testing for a discrepancy between short‐term and long‐term mechanisms in the response to climate is contrasting a population model with the current distribution and abundance in different climates. We demonstrate this idea for the sociable weaver Philetairussocius, a passerine bird of semiarid southern Africa. We develop a dynamic population model that predicts the species’ response to mean annual precipitation (MAP) and tests whether the model can reproduce the occurrence of sociable weavers in their current range of MAP as well as realistic abundances in two study locations with different MAP. The model predicts a decreased abundance under a scenario of decreased MAP and it can reproduce realistic populations in a single location. However it cannot explain the occurrence of sociable weavers across their entire distribution nor does it produce realistic abundances in the two areas when they were tested simultaneously. The results imply that the sensitive short‐term response to MAP is buffered by long‐term processes such as adaptation or plasticity in life history, shifts in interspecific interactions or changes in habitat structure. We suggest that this result is common for animals in semi‐arid and arid regions and discuss implications for static and dynamic modelling approaches in climate change research.     

Polypharmacy in the management of patients with schizophrenia on risperidone in a tertiary-care hospital in Malaysia

The present study was conducted primarily to determine the occurrence of polypharmacy in patients with schizophrenia on risperidone. The secondary aim was to ascertain the incidence of inappropriate prescribing with anticholinergics. A retrospective review of the medical records of all patients who were being followed up at the out-patient clinic of a tertiary-care hospital in Malaysia was conducted. Only patients who were being prescribed risperidone between 1 June 2008 and 31 December 2008 were included in the study. Demographic data such as patient’s age, gender and race were obtained from the patient’s medical records. In total, 113 patients met the selection criteria. Polypharmacy was found to occur in 34 patients (30.09%), with the majority (76.47%) being on two antipsychotics. In total, 27 patients (34.18%) on monotherapy with risperidone were prescribed an anticholinergic on scheduled dosing, while 19 patients (24.05%) were prescribed it on an as-needed basis. Of the patients on polypharmacy, 26 (76.47%) were on scheduled dosing of anticholinergics, while three (8.82%) were taking the medication on an as-needed basis. Polypharmacy should be avoided, and the use of anticholinergics should be closely reviewed. By adopting more efficient prescribing practices, costs can be reduced and financial resources can instead be channelled towards more beneficial areas for the patients.     

Candidate gene case-control and functional study shows macrophage inhibitory factor (MIF) polymorphism is associated with cutaneous leishmaniasis

American tegumentary leishmaniasis (ATL) is an infectious disease caused mostly by Leishmania (Viannia) braziliensis in Southeast Brazil. The clinical manifestations are vast, ranging from asymptomatic to severe mucosal leishmaniasis (ML). It has been suggested that variation of the pathogen does not fully explain the response spectrum and the variability of clinical manifestations. Previous data have shown that host genetics also play a role in disease outcome. Herein, we have tested the association of TNF, IL10, IL12 and MIF single nucleotide polymorphisms (SNPs) using a case-control study design including 110 cutaneous leishmaniasis (CL) patients and 682 healthy subjects. The genotype–phenotype correlation was also assessed using leishmania antigens to stimulate peripheral blood mononuclear cells obtained from cured CL patients. Results demonstrated that the MIF ?173C allele is associated with leishmaniasis outcome and also with lower levels of MIF in culture supernatants. Also, the TNF ?308AA genotype was statistically increased among leishmaniasis patients. The results showed here suggest that the lower levels of MIF produced by MIF ?173C carriers could influence the host–Leishmania interaction, favoring infection and disease progression. On the other hand, high TNF levels can contribute to tissue damage, consequently leading to skin lesions.