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1.
耐力运动对雌激素依赖性乳腺癌小鼠肿瘤血管生成的影响 总被引:1,自引:0,他引:1
摘要
目的:探讨耐力运动对雌激素依赖性乳腺癌肿瘤血管生成的影响。
方法:40只雌性BALB/c小鼠随机分为2组,一组小鼠在跑台上进行8周持续耐力运动,另一组不进行运动。之后给予2组小鼠注射雌激素依赖性MC4L2癌细胞,肿瘤形成后,随机再将这两组小鼠以每组10只,分为4组,即:运动-肿瘤-运动组(A);运动-肿瘤-休息组(B);休息-肿瘤-运动组(C)和休息-肿瘤-休息组(D)。A、C组小鼠进行为期6周的耐力运动,每周运动5天。期间,每周测量肿瘤体积。最后,处死小鼠,摘除肿瘤组织,制成匀浆ELISA定量法测量细胞因子白细胞介素-6(IL-6)和血管内皮生长因子(VEGF)的表达水平。
结果:A、C组与B、D组相比,IL-6(P=0.001)、VEGF(P=0.0001)和肿瘤体积(P=0.0001)显著降低。
结论:运动可致使乳腺癌细胞致瘤小鼠的肿瘤组织内促炎症细胞因子水平降低,抑制肿瘤血管生成因子表达增加。因此,运动对雌激素依赖的乳腺癌可能有一定的辅助治疗与预防作用。 相似文献
2.
本文阐述了利用大数据优势推动区域医疗发展的必要性,从细致深入做好疾病预防、全面了解治疗进度、努力实现无差别就医三个方面,探讨了大数据时代区域医疗的应用方向,希望对促进大数据时代下区域医疗的快速发展有所裨益。 相似文献
3.
目的探讨超声刀和高频电刀在甲状腺切除术中的安全性及近远期疗效。方法将我院普外科择期甲状腺切除术的甲状腺癌患者120例采用随机数字表法分为超声刀组和高频电刀组各60例。比较两组手术相关指标、近远期并发症发生率,术前和术后1年发放生活质量评价量表(SF-36)评估生活质量。结果超声刀组手术时间、术中出血量、术后24 h引流量少于高频电刀组,切口长度短于高频电刀组,术后出血、暂时性低血钙症发生率低于高频电刀组(P0.05);两组术后1年SF-36量表亚型评分均明显改善,与术前比较差异有统计学意义(P0.05),但两组间术后1年比较差异无统计学意义(P0.05)。结论与高频电刀相比,甲状腺切除术中应用超声刀有利于减少手术时间、术中出血量,且对甲状旁腺功能损伤小,可降低术后近期并发症发生率,安全性较高。 相似文献
4.
5.
<正> 制剂的含量均匀度检查法中国药典采用的标示量为参照值的2次取样计量法,其结果判定是逐一计算每片(个)含量,一般需计算10次(复验时需30次),求其均值X和标准差S.计算量大,且必须先计算后统计,不能立即判断,统计的数值是计算出的含量值,增加了误差传递,现介绍一种方法可以快速、准确、简便地进行结果判断,对复验结果的判断尤为便利。 相似文献
6.
目的探讨无极保养灸联合康复训练对脑卒中偏瘫患者肢体运动功能和日常生活能力的影响。方法选取脑卒中偏瘫患者79例,随机分为观察组40例和对照组39例,两组患者均予以早期康复训练,观察组在此基础上加用无极保养灸治疗。比较两组的临床疗效,治疗前后主要症状、肢体运动功能和日常生活能力改善情况。结果观察组总有效率为90.0%,显著高于对照组的71.8%(P0.05)。两组治疗后肢体麻木、口眼歪斜、乏力、头晕头痛和疼痛冷热感觉障碍积分较治疗前明显改善(P0.01),但观察组改善程度更显著(P0.05)。两组治疗后Fugl-Meyer运动量表(FMI)、Barthel指数(BI)评分较治疗前明显增加(P0.01),但观察组增加幅度更显著(P0.05)。结论无极保养灸联合康复训练可以有效缓解脑卒中偏瘫患者的临床症状,加速肢体运动功能恢复,提高患者日常生活能力。 相似文献
7.
自 1996年 7月至 2 0 0 2年 6月 ,本院共施行腹腔镜胆囊切除术 392例 ,未发生 1例胆道损伤。经回顾性分析 ,本文认为对手术困难估计不足和适应证选择不当、操作视野欠清晰、技术与人为因素是医源性胆道损伤的主要原因。胆道损伤诊断时间包括术中及时诊断、术后数日内诊断、术后再入院诊断。治疗的方法依据胆道损伤的部位及程度而定 相似文献
8.
腹腔镜胆囊切除术是普外科开展最广泛的手术之一。胆管损伤是小慨率事件,一旦发生后果严重,正确的损伤分型关乎到损伤修复的效果和患者的长期生活质量。预防腔镜胆囊切除术中胆管损伤越来越受到关注,探讨胆管损伤的分型和损伤的预防措施有非常重要的临床意义。 相似文献
9.
Objective To evaluate the clinical application of automated urine formed elements analyzer and/or urine dipstick analyzer for examination of urinary formed elements in screening urinary tract infection (UTI). Methods 148 fresh midstream clear-catch urine samples from the UTI patients and 284 fresh midstream clear-catch urine samples from non-UTI subjects were selected. Bacteria culture was performed for bacterial colony counting and identification. Bacteria counts ( BACT), yeast-like fungus and WBC were performed by UF-looOi automated urine formed elements analyzer. Leukocyte esterase test (LEU) and nitrite test (NIT) were performed by URISYS 2400 urine dipstick analyzer. We evaluated data obtained from urine dipstick analyzer, UF-1000i and combination of UF-1000i with urine dipstick analyzer and the results was compared with those obtained from quantitative bacterial culture. Then we evaluated the sensibility, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results Among the 148 patients with UTI, the positive rate of the quantitative bacterial culture was 73.6% (109/148), the positive rate of LEU and NIT detected by dipstick test 26. 4% (39/148).There was significantly statistical difference between bacterial culture and strip test(χ2 = 55.68 ,P < 0. 05 ). The positive rate of urine flow cytometry by UF-1000i with either positive of BACT and WBC was 91.2%(135/148), which was higher than the positive rate of the quantitative bacterial culture. There was significant difference between two methods (χ2 = 14. 70, P < 0. 05 ). The positive rate of anyone positive among BACT, WBC, LEU and NIT was 94. 6% (140/148) when detected with combination of dipstick test and UF-1000i, which was higher than the positive rate of the quantitative bacterial culture. And there was significant difference between two methods (χ2 = 20. 45, P < 0. 05 ). The sensitivity of dipstick test was low (26. 4% ,39/148 ), and specificity was high ( 99. 3%, 282/284 ) . The sensitivity, specificity, positive predictive value, negative predictive value of BACT detected by UF-1000i in diagnosing urinary tract infection were 92. 6% ( 137/148 ), 39. 8% ( 113/284 ). 44. 5% ( 137/308 ) and 91.1% ( 113/124 ), respectively. If the dipstick test was combined with UF-1000i, the sensitivity, negative predictive value, specificity, positive predictive value and accuracy were 98.0% ( 145/148 ), 97.1% ( 100/103 ). 35.2% (100/284) ,44. 1% (145/329) and 56. 7% (245/432), respectively. Conclusions The combination of urine dipstick test and automated urine formed elements analyzer UF-1000i plays an important role in early diagnosis of UTI. And it has significant value in diagnosis of UTI, especially for the patients with negative bacterial cultures of urine sample. 相似文献
10.
Objective To evaluate the clinical application of automated urine formed elements analyzer and/or urine dipstick analyzer for examination of urinary formed elements in screening urinary tract infection (UTI). Methods 148 fresh midstream clear-catch urine samples from the UTI patients and 284 fresh midstream clear-catch urine samples from non-UTI subjects were selected. Bacteria culture was performed for bacterial colony counting and identification. Bacteria counts ( BACT), yeast-like fungus and WBC were performed by UF-looOi automated urine formed elements analyzer. Leukocyte esterase test (LEU) and nitrite test (NIT) were performed by URISYS 2400 urine dipstick analyzer. We evaluated data obtained from urine dipstick analyzer, UF-1000i and combination of UF-1000i with urine dipstick analyzer and the results was compared with those obtained from quantitative bacterial culture. Then we evaluated the sensibility, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy. Results Among the 148 patients with UTI, the positive rate of the quantitative bacterial culture was 73.6% (109/148), the positive rate of LEU and NIT detected by dipstick test 26. 4% (39/148).There was significantly statistical difference between bacterial culture and strip test(χ2 = 55.68 ,P < 0. 05 ). The positive rate of urine flow cytometry by UF-1000i with either positive of BACT and WBC was 91.2%(135/148), which was higher than the positive rate of the quantitative bacterial culture. There was significant difference between two methods (χ2 = 14. 70, P < 0. 05 ). The positive rate of anyone positive among BACT, WBC, LEU and NIT was 94. 6% (140/148) when detected with combination of dipstick test and UF-1000i, which was higher than the positive rate of the quantitative bacterial culture. And there was significant difference between two methods (χ2 = 20. 45, P < 0. 05 ). The sensitivity of dipstick test was low (26. 4% ,39/148 ), and specificity was high ( 99. 3%, 282/284 ) . The sensitivity, specificity, positive predictive value, negative predictive value of BACT detected by UF-1000i in diagnosing urinary tract infection were 92. 6% ( 137/148 ), 39. 8% ( 113/284 ). 44. 5% ( 137/308 ) and 91.1% ( 113/124 ), respectively. If the dipstick test was combined with UF-1000i, the sensitivity, negative predictive value, specificity, positive predictive value and accuracy were 98.0% ( 145/148 ), 97.1% ( 100/103 ). 35.2% (100/284) ,44. 1% (145/329) and 56. 7% (245/432), respectively. Conclusions The combination of urine dipstick test and automated urine formed elements analyzer UF-1000i plays an important role in early diagnosis of UTI. And it has significant value in diagnosis of UTI, especially for the patients with negative bacterial cultures of urine sample. 相似文献