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Nutr Metab：与美国白人女性骨密度相关的代谢组学特征

2018-08-18 MedSci MedSci原创

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20-40岁时达到并维持的最高骨密度（BMD）是生命后期骨量减少和骨质疏松性骨折最有力的预测指标。本研究旨在确定与美国白人女性BMD峰值变异相关的代谢组学因素。 研究共招募了136名年龄在20-40岁的女性，包括65名低髋和71髋高BMD的受试者。使用液相色谱-质谱（LC-MS）方法评估血清代谢物。分别使用偏最小二乘判别分析（PLS-DA）方法和逻辑回归模型来检查代谢组学谱和个体代谢物与BM

20-40岁时达到并维持的最高骨密度（BMD）是生命后期骨量减少和骨质疏松性骨折最有力的预测指标。本研究旨在确定与美国白人女性BMD峰值变异相关的代谢组学因素。

研究共招募了136名年龄在20-40岁的女性，包括65名低髋和71髋高BMD的受试者。使用液相色谱-质谱（LC-MS）方法评估血清代谢物。分别使用偏最小二乘判别分析（PLS-DA）方法和逻辑回归模型来检查代谢组学谱和个体代谢物与BMD的关联。

结果，低和高BMD组可以通过PLS-DA检测的血清代谢物来区分（P= 0.008）。共有14种代谢物，包括7种氨基酸和氨基酸衍生物，5种脂质（包括3种胆汁酸）和2种有机酸，与低BMD的风险明显相关。大多数代谢物是新发现的，因为既往未发现其与BMD相关。包括新鉴定的代谢物的预测模型明显改善了低和高BMD的组的分类。没有和有代谢物的受试者操作特征曲线下面积分别为0.88（95％CI：0.83-0.94）和0.97（95％CI：0.94-0.99）（P = 0.0004）。

综上所述，该研究结果表明，代谢组学分析可以改善高加索女性骨质疏松症的风险预测。我们的研究结果还表明氨基酸和胆汁酸在骨骼健康中代谢的潜在重要性。

原始出处：

Qi Zhao, Hui Shen, et al., Metabolomic profiles associated with bone mineral density in US Caucasian women. Nutr Metab (Lond). 2018; 15: 57.

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    2019-05-20 guojianrong

    #Meta#

    0

  2. [GetPortalCommentsPageByObjectIdResponse(id=1887921, encodeId=c254188e921fe, content=<a href='/topic/show?id=d56611584ec' target=_blank style='color:#2F92EE;'>#Meta#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=11584, encryptionId=d56611584ec, topicName=Meta)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=d8f4110, createdName=guojianrong, createdTime=Mon May 20 13:14:00 CST 2019, time=2019-05-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1896364, encodeId=1e601896364e0, content=<a href='/topic/show?id=4a391158248' target=_blank style='color:#2F92EE;'>#MET#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=25, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=11582, encryptionId=4a391158248, topicName=MET)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=18fc139, createdName=一闲, createdTime=Wed Mar 06 08:14:00 CST 2019, time=2019-03-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1480293, encodeId=9a781480293cc, content=<a href='/topic/show?id=2f6f2546977' target=_blank style='color:#2F92EE;'>#代谢组#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=25469, encryptionId=2f6f2546977, topicName=代谢组)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=0f1e7632392, createdName=ms6897892027066920, createdTime=Mon Aug 20 12:14:00 CST 2018, time=2018-08-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=339507, encodeId=22a633950eda, content=嗯嗯，学习学习。, beContent=null, objectType=article, channel=null, level=null, likeNumber=45, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://cdnapi.center.medsci.cn/medsci/head/2018/07/16/3b24606172648eea459125cb74754afe.jpg, createdBy=6c022216608, createdName=liumin1987, createdTime=Sun Aug 19 10:31:25 CST 2018, time=2018-08-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1050705, encodeId=50661050e05e3, content=代谢组学是热点，它反映疾病的终极状态，通过代谢组学可以反向知道生命体的活动特点，只是目前代谢组成分太复杂，背后的机制仍然不完全清楚而已。, beContent=null, objectType=article, channel=null, level=null, likeNumber=23, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=明天jing, createdTime=Sun Aug 19 00:14:00 CST 2018, time=2018-08-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=339419, encodeId=5f4a33941927, content=学习了，谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=33, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=7c592194322, createdName=1209e435m98(暂无昵称), createdTime=Sat Aug 18 22:38:48 CST 2018, time=2018-08-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=339409, encodeId=37d1339409c9, content=了解一下，谢谢分享！, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cdnapi.center.medsci.cn/medsci/head/2019/12/23/2f51002e1349ccda5be11c1eea1e1e60.jpg, createdBy=a22097948, createdName=天地飞扬, createdTime=Sat Aug 18 22:15:48 CST 2018, time=2018-08-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=339398, encodeId=2030339398cd, content=学习了，谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=38, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=1bb241978, createdName=phoebeyan520, createdTime=Sat Aug 18 21:26:00 CST 2018, time=2018-08-18, status=1, ipAttribution=)]
    2019-03-06 一闲

    #MET#

    0

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    2018-08-20 ms6897892027066920

    #代谢组#

    0

  4. [GetPortalCommentsPageByObjectIdResponse(id=1887921, encodeId=c254188e921fe, content=<a href='/topic/show?id=d56611584ec' target=_blank style='color:#2F92EE;'>#Meta#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=11584, encryptionId=d56611584ec, topicName=Meta)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=d8f4110, createdName=guojianrong, createdTime=Mon May 20 13:14:00 CST 2019, time=2019-05-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1896364, encodeId=1e601896364e0, content=<a href='/topic/show?id=4a391158248' target=_blank style='color:#2F92EE;'>#MET#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=25, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=11582, encryptionId=4a391158248, topicName=MET)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=18fc139, createdName=一闲, createdTime=Wed Mar 06 08:14:00 CST 2019, time=2019-03-06, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1480293, encodeId=9a781480293cc, content=<a href='/topic/show?id=2f6f2546977' target=_blank style='color:#2F92EE;'>#代谢组#</a>, beContent=null, objectType=article, channel=null, level=null, likeNumber=29, replyNumber=0, topicName=null, topicId=null, topicList=[TopicDto(id=25469, encryptionId=2f6f2546977, topicName=代谢组)], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=0f1e7632392, createdName=ms6897892027066920, createdTime=Mon Aug 20 12:14:00 CST 2018, time=2018-08-20, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=339507, encodeId=22a633950eda, content=嗯嗯，学习学习。, beContent=null, objectType=article, channel=null, level=null, likeNumber=45, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=https://cdnapi.center.medsci.cn/medsci/head/2018/07/16/3b24606172648eea459125cb74754afe.jpg, createdBy=6c022216608, createdName=liumin1987, createdTime=Sun Aug 19 10:31:25 CST 2018, time=2018-08-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=1050705, encodeId=50661050e05e3, content=代谢组学是热点，它反映疾病的终极状态，通过代谢组学可以反向知道生命体的活动特点，只是目前代谢组成分太复杂，背后的机制仍然不完全清楚而已。, beContent=null, objectType=article, channel=null, level=null, likeNumber=23, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=null, createdBy=f0620, createdName=明天jing, createdTime=Sun Aug 19 00:14:00 CST 2018, time=2018-08-19, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=339419, encodeId=5f4a33941927, content=学习了，谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=33, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=7c592194322, createdName=1209e435m98(暂无昵称), createdTime=Sat Aug 18 22:38:48 CST 2018, time=2018-08-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=339409, encodeId=37d1339409c9, content=了解一下，谢谢分享！, beContent=null, objectType=article, channel=null, level=null, likeNumber=27, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=http://cdnapi.center.medsci.cn/medsci/head/2019/12/23/2f51002e1349ccda5be11c1eea1e1e60.jpg, createdBy=a22097948, createdName=天地飞扬, createdTime=Sat Aug 18 22:15:48 CST 2018, time=2018-08-18, status=1, ipAttribution=), GetPortalCommentsPageByObjectIdResponse(id=339398, encodeId=2030339398cd, content=学习了，谢谢分享, beContent=null, objectType=article, channel=null, level=null, likeNumber=38, replyNumber=0, topicName=null, topicId=null, topicList=[], attachment=null, authenticateStatus=null, createdAvatar=, createdBy=1bb241978, createdName=phoebeyan520, createdTime=Sat Aug 18 21:26:00 CST 2018, time=2018-08-18, status=1, ipAttribution=)]
    2018-08-19 liumin1987

    嗯嗯，学习学习。

    0

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    2018-08-19 明天jing

    代谢组学是热点，它反映疾病的终极状态，通过代谢组学可以反向知道生命体的活动特点，只是目前代谢组成分太复杂，背后的机制仍然不完全清楚而已。

    0

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    2018-08-18 1209e435m98(暂无昵称)

    学习了，谢谢分享

    0

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    2018-08-18 天地飞扬

    了解一下，谢谢分享！

    0

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    2018-08-18 phoebeyan520

    学习了，谢谢分享

    0