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代謝組學(xué)運(yùn)動(dòng)選材與傳統(tǒng)生化選材方法的比較研究

發(fā)布時(shí)間:2018-07-11 11:01

  本文選題:代謝組學(xué) + 運(yùn)動(dòng)選材 ; 參考:《江西師范大學(xué)》2012年碩士論文


【摘要】:研究背景與目的:在后基因時(shí)代,以系統(tǒng)整體為研究對(duì)象,以基因組學(xué)、蛋白質(zhì)組學(xué)和代謝組學(xué)為代表的系統(tǒng)生物學(xué)已日漸成為生命科學(xué)研究的主流趨勢。代謝組學(xué)通過測量樣本中所有的代謝產(chǎn)物來反映生物體對(duì)不同刺激的反應(yīng),,利用代謝指紋圖譜對(duì)生命系統(tǒng)進(jìn)行研究。相對(duì)于基因?qū)用娴难芯,代謝組學(xué)具有靈敏性更高,整體性更強(qiáng),測試與分析簡單、快速等優(yōu)點(diǎn),在此前的研究中,我們已初步證明了運(yùn)動(dòng)員的代謝指紋圖譜包含了運(yùn)動(dòng)員競技水平的信息,并建立了高水平男子中短距離游泳成績預(yù)測代謝組學(xué)模型。本研究以SD大鼠為研究對(duì)象,探索能否利用大鼠幼年時(shí)(4周齡)的代謝指紋圖譜,識(shí)別出游泳潛力較大的大鼠,即經(jīng)過長期訓(xùn)練后,在成年時(shí)(14周齡),能取得優(yōu)秀游泳成績的大鼠;并通過與傳統(tǒng)生化方法進(jìn)行對(duì)比,對(duì)基于核磁共振(NMR)的代謝組學(xué)這一系統(tǒng)生物學(xué)方法應(yīng)用于運(yùn)動(dòng)選材的可行性與優(yōu)越性進(jìn)行分析。 研究方法:以24只SD大鼠為研究對(duì)象,在大鼠4周齡時(shí)收集它們的尿樣和血樣,尿樣用于核磁共振(NMR)代謝組學(xué)分析,血樣用于測試血紅蛋白(Hb)和血清睪酮(ST);然后進(jìn)行為期10周的漸增負(fù)荷游泳訓(xùn)練,訓(xùn)練結(jié)束后進(jìn)行負(fù)重耐力游泳能力測試,記錄每只大鼠游泳至力竭的時(shí)間,并根據(jù)力竭時(shí)間長短進(jìn)行排名,分為前3名組與4-24名組、前12名組與后12名組;測試完成后,休息兩天,斷頭處死,取右后肢腓腸肌測試琥珀酸脫氫酶(SDH)和乳酸脫氫酶(LDH)的含量。 研究結(jié)果:前3名組和4-24名組大鼠的Hb、ST、SDH、LDH分別為:152.3±9.5:165.73±74.42g/L、2.47±0.06:2.48±0.34nmol/L、29.77±7.48:35.38±38.23U/mgprot、0.58±0.4:0.62±0.29U/mgprot,沒有顯著性差異;前12名組和13-24名組大鼠的Hb、ST、SDH、LDH分別為:153.72±21.72:174.39±65.76g/L、2.47±0.33:2.49±0.13nmol/L、33.46±40.05:35.9±37.72U/mgprot、0.59±0.39:0.64±0.27U/mgprot,結(jié)果同樣沒有顯著性差異;代謝組學(xué)模式識(shí)別結(jié)果顯示,前3名組和4-24名組樣本、前12名組和后12名組的代謝指紋圖譜有了明顯的差異,各組樣本被明確地分開了,而同組的樣本則出現(xiàn)了聚集。 研究結(jié)論:幼年大鼠尿液的代謝指紋圖譜能一定程度反映大鼠的游泳運(yùn)動(dòng)潛力的差異,相對(duì)于利用個(gè)別或者少數(shù)幾個(gè)指標(biāo)進(jìn)行運(yùn)動(dòng)選材的傳統(tǒng)生化方法,代謝組學(xué)這一系統(tǒng)生物學(xué)方法具有其獨(dú)特的優(yōu)勢。
[Abstract]:Background & objective: in the post-gene era, the system biology, which takes the whole system as the research object and the genomics, proteomics and metabolomics as the representative, has become the main trend of life science research. Metabonomics measures all the metabolites in the samples to reflect the response of organisms to different stimuli, and studies the life system by using metabolic fingerprints. Metabonomics is more sensitive, more holistic, easier to test and analyze, and faster than research at the gene level. We have preliminarily proved that the metabolic fingerprint of athletes contains the information of athletes' competitive level and established a metabolic model for predicting the performance of high level men in short distance swimming. In this study, SD rats were chosen as research subjects to explore whether the metabolic fingerprints of young rats (4 weeks old) could be used to identify the rats with great swimming potential, that is, after long-term training, In adulthood (14 weeks of age), rats with excellent swimming performance were compared with traditional biochemical methods. The feasibility and superiority of nuclear magnetic resonance (NMR) based metabonomics, a systematic biological method, in sports material selection were analyzed. Methods: urine and blood samples were collected from 24 SD rats at the age of 4 weeks. Urine samples were used for nuclear magnetic resonance (NMR) metabonomics analysis, blood samples were used to test hemoglobin (HB) and serum testosterone (St). After the training, the endurance swimming ability was tested. The time of swimming to exhaustion of each rat was recorded and ranked according to the time of exhaustion, which was divided into the top 3 groups and 4-24 groups. The first 12 groups and the latter 12 groups, after the test, rest for two days, then execute the head, take the right hind limb gastrocnemius muscle to test the content of succinate dehydrogenase (SDH) and lactate dehydrogenase (LDH). 鐮旂┒緇撴灉錛氬墠3鍚嶇粍鍜

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