Article(id=1324077884024959836, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324077868950631142, articleNumber=null, orderNo=null, doi=10.20043/j.cnki.MPM.202507432, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1753718400000, receivedDateStr=2025-07-29, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793614367729, onlineDateStr=2026-11-02, pubDate=1771948800000, pubDateStr=2026-02-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793614367729, onlineIssueDateStr=2026-11-02, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793614367729, creator=13701087609, updateTime=1793614367729, updator=13701087609, issue=Issue{id=1324077868950631142, tenantId=1146029695717560320, journalId=1227665162245664772, year='2026', volume='53', issue='4', pageStart='577', pageEnd='768', issueExtLink='null', onlineDate='null', pubDate='1771948800000', pubDateStr='2026-02-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=0, createTime=1793614364134, creator='13701087609', updateTime=1793614446224, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1324078213328142371, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324077868950631142, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1324078213332336676, tenantId=1146029695717560320, journalId=1227665162245664772, issueId=1324077868950631142, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=713, endPage=719, ext={EN=ArticleExt(id=1324077884209509213, articleId=1324077884024959836, tenantId=1146029695717560320, journalId=1227665162245664772, language=EN, title=Energy and amino acid metabolic features in overweight and obese adults and their associations with weight status, columnId=1228016572451718132, journalTitle=Modern Preventive Medicine, columnName=Health and Social Behavior, runingTitle=null, highlight=null, articleAbstract=
Objective

To assess energy and amino acid metabolic features in overweight and obese adults compared with normal-weight controls, and to examine their associations to better understand the metabolic mechanisms of obesity.

Methods

A total of 61 healthy adults were recruited in Chengdu, China, and categorized into normal weight (18.5-23.9 kg/m2), overweight (24.0-27.9 kg/m2), and obese (≥28.0 kg/m2) groups according to body mass index (BMI). Basal energy expenditure (BEE) and resting energy expenditure after cold exposure (REE) were measured using indirect calorimetry, and cold-induced thermogenesis (CIT) and basal metabolic rate (BMR) were calculated. Plasma amino acid levels were determined using non-targeted metabolomics. Group differences and correlations were assessed by analysis of variance and Spearman rank correlation, respectively.

Results

BMR and CIT were lower in the overweight and obese groups, and both CIT and BMR were negatively correlated with BMI (r=-0.452, P<0.001; r=-0.421, P=0.001). Non-targeted metabolomics revealed no significant between-group differences in amino acid levels. Correlation analysis showed that CIT was positively correlated with arginine (r=0.431, P=0.017) and negatively correlated with Leu-Leu and nicotinuric acid (r=-0.319, P=0.033; r=-0.414, P=0.023). BMR was positively correlated with L-glutathione, reduced (r=0.377, P=0.040).

Conclusion

Obese individuals exhibit reduced BMR and CIT, and specific plasma amino acids are closely related to energy metabolism indicators, suggesting that amino acid metabolism may be involved in obesity-related energy metabolic dysregulation.

, authors=Yan-yan ZHAO1, Qian-wei ZHANG2, Yu-qin XI1, Xin-yue LIU1, Wei-xin XU1, Fan BU3, Yu-ping LI4, Ming LI1, authorsList=Yan-yan ZHAO, Qian-wei ZHANG, Yu-qin XI, Xin-yue LIU, Wei-xin XU, Fan BU, Yu-ping LI, Ming LI, authorCompany=null, correspAuthors=Ming LI, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1324077888521253750, articleId=1324077884024959836, tenantId=1146029695717560320, journalId=1227665162245664772, language=CN, title=超重与肥胖成年人能量与氨基酸代谢特征及其关联分析, columnId=1228016572640461823, journalTitle=现代预防医学, columnName=健康与社会行为, runingTitle=null, highlight=null, articleAbstract=
目的

以正常体重为对照,评估超重与肥胖人群的能量与氨基酸代谢特征,并分析二者关联,为肥胖代谢机制研究提供依据。

方法

在成都市招募61名健康成人,按体质指数(BMI)分为正常体重组(18.5~23.9 kg/m2)、超重组(24.0~27.9 kg/m2)和肥胖组(≥ 28.0 kg/m2)。通过间接测热法测定基础能量消耗(BEE)、寒冷刺激后静息能量消耗(REE),计算冷诱导产热(CIT)及基础代谢率(BMR);应用非靶向代谢组学检测血浆氨基酸水平,采用方差分析和Spearman秩相关分析评估组间差异及相关性。

结果

超重和肥胖组BMR和CIT降低,CIT和BMR与BMI呈负相关(r=-0.452, P<0.001; r=-0.421, P=0.001)。非靶向代谢组学分析未见组间氨基酸水平显著差异,相关性分析显示,CIT与精氨酸呈正相关(r=0.431, P=0.017),与亮氨酸-亮氨酸二肽、烟酰甘氨酸呈负相关(r=-0.319, P=0.033; r=-0.414, P=0.023);BMR与还原型谷胱甘肽呈正相关(r=0.377, P=0.040)。

结论

肥胖个体BMR和CIT下降,特定氨基酸水平与能量代谢密切相关,提示氨基酸代谢可能与肥胖相关的能量代谢异常存在关联。

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赵研言(2001—),女,硕士在读,研究方向:公共卫生

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李鸣,E-mail:
, copyrightStatement=本刊刊出的所有文章不代表中华预防医学会和本刊编委会的观点,除非特别声明。, copyrightOwner=中华预防医学会和四川大学华西公共卫生学院, extLink=null, articleAbsUrl=null, sourceXml=z3N8jns/tjDmR86Zj+auYw==, magXml=jLSCZePJOjK5l9EWbs4Kew==, pdfUrl=null, pdf=pjW1mcAlEFIlrT9oQOAz7A==, pdfFileSize=970393, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=Whl0mt3amZDouDd/DCNONQ==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=lpsQYhjzZDt0SI+/nE9mCQ==, mapNumber=null, fund=null)}, authors=[Author(id=1324077889167176577, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1324077889251062659, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, authorId=1324077889167176577, language=EN, stringName=Yan-yan ZHAO, firstName=Yan-yan, middleName=null, lastName=ZHAO, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=1, address=West China School of Public Health, Sichuan University/ West China Fourth Hospital, Chengdu, Sichuan 610041, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1324077889347531652, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, authorId=1324077889167176577, language=CN, stringName=赵研言, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=1, address=1.四川大学华西公共卫生学院/四川大学华西第四医院,四川 成都 610041, bio={"content":"

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Applied Physiology, Nutrition, and Metabolism, 2021, 46(9): 1133-1142., articleTitle=The effects of 3 weeks of oral glutathione supplementation on whole body insulin sensitivity in obese males with and without type 2 diabetes: a randomized trial, refAbstract=null)], funds=[Fund(id=1324077896477848510, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, awardId=82073550, language=CN, fundingSource=国家自然科学基金(82073550), fundOrder=null, country=null)], companyList=[AuthorCompany(id=1324077888835826551, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, xref=1., ext=[AuthorCompanyExt(id=1324077888848409464, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, companyId=1324077888835826551, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=West China School of Public Health, Sichuan University/ West China Fourth Hospital, Chengdu, Sichuan 610041, China), AuthorCompanyExt(id=1324077888856798073, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, companyId=1324077888835826551, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=1.四川大学华西公共卫生学院/四川大学华西第四医院,四川 成都 610041)]), AuthorCompany(id=1324077888923906938, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, xref=2., ext=[AuthorCompanyExt(id=1324077888932295547, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, companyId=1324077888923906938, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=2.成都市双流区卫生健康局)]), AuthorCompany(id=1324077889003598716, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, xref=3., ext=[AuthorCompanyExt(id=1324077889011987325, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, companyId=1324077889003598716, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=3.四川省医学科学院,四川省人民医院(电子科技大学附属医院)]), AuthorCompany(id=1324077889087484798, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, xref=4., ext=[AuthorCompanyExt(id=1324077889100067711, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, companyId=1324077889087484798, language=CN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=4.四川大学华西第二医院临床营养科)])], figs=[ArticleFig(id=1324077893189514158, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=EN, label=Fig.1, caption=OPLS-DA score plot and sample distribution in negative ion mode, figureFileSmall=0jQ4Mo/Mu+YknSUxHdqCCA==, figureFileBig=Whl0mt3amZDouDd/DCNONQ==, tableContent=null), ArticleFig(id=1324077893265011631, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=CN, label=图1, caption=负离子模式下OPLS-DA模型得分图及三组样本的可视化分布

注:A为正常体重组与超重组OPLS-DA得分图;B为正常体重组与肥胖组OPLS-DA得分图;C为超重组与肥胖组OPLS-DA得分图。

, figureFileSmall=0jQ4Mo/Mu+YknSUxHdqCCA==, figureFileBig=Whl0mt3amZDouDd/DCNONQ==, tableContent=null), ArticleFig(id=1324077893546030000, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=EN, label=Table 1, caption=

The basic information of the study objects

, figureFileSmall=null, figureFileBig=null, tableContent=
调查指标正常体重组
(n=20)
超重组
(n=21)
肥胖组
(n=20)
χ2/F值P值
性别[n(%)]
男11(55.00)10(47.62)11(55.00)0.3010.860
女9(45.00)11(52.38)9(45.00)
年龄(岁,)23.34±1.7323.62±2.5124.35±2.701.0990.340
是否喜好油腻、高脂肪食物[n(%)]
是6(30.00)4(19.05)14(70.00)bc12.2330.002
否14(70.00)17(81.95)6(30.00)
平时是否运动[n(%)]
每天3(15.00)3(14.29)3(15.00)1.5120.959
经常4(20.00)6(28.57)3(15.00)
偶尔9(45.00)9(42.86)11(55.00)
无4(20.00)3(14.29)3(15.00)
是否饮酒[n(%)]
是5(25.00)6(28.57)3(15.00)1.1380.566
否15(75.00)15(71.43)17(85.00)
睡眠时间(h/d,)7.85±0.717.62±1.047.68±0.950.3480.707
), ArticleFig(id=1324077893634110385, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=CN, label=表1, caption=

研究对象基本情况

, figureFileSmall=null, figureFileBig=null, tableContent=
调查指标正常体重组
(n=20)
超重组
(n=21)
肥胖组
(n=20)
χ2/F值P值
性别[n(%)]
男11(55.00)10(47.62)11(55.00)0.3010.860
女9(45.00)11(52.38)9(45.00)
年龄(岁,)23.34±1.7323.62±2.5124.35±2.701.0990.340
是否喜好油腻、高脂肪食物[n(%)]
是6(30.00)4(19.05)14(70.00)bc12.2330.002
否14(70.00)17(81.95)6(30.00)
平时是否运动[n(%)]
每天3(15.00)3(14.29)3(15.00)1.5120.959
经常4(20.00)6(28.57)3(15.00)
偶尔9(45.00)9(42.86)11(55.00)
无4(20.00)3(14.29)3(15.00)
是否饮酒[n(%)]
是5(25.00)6(28.57)3(15.00)1.1380.566
否15(75.00)15(71.43)17(85.00)
睡眠时间(h/d,)7.85±0.717.62±1.047.68±0.950.3480.707
), ArticleFig(id=1324077893726385074, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=EN, label=Table 2, caption=

Physical indicators of the study subjects()

, figureFileSmall=null, figureFileBig=null, tableContent=
体格检查指标正常体重组超重组肥胖组F值P值
身高(cm)167.18±9.10169.81±8.99171.44±8.961.1370.328
体重(kg)60.33±8.0374.45±8.80a90.87±12.54bc47.037<0.001
BMI(kg/m2)21.50±1.2325.74±1.26a30.84±2.87bc117.259<0.001
体脂率(%)23.54±6.8728.08±11.1136.87±6.89bc12.493<0.001
肌肉量(kg)25.63±5.7229.19±6.1632.07±6.35b5.6200.006
体脂肪量(kg)13.89±3.3323.06±3.14a33.28±6.71bc82.534<0.001
腰围(cm)75.89±6.6387.67±5.85a99.37±9.42bc49.887<0.001
上臂皮褶厚度(mm)13.98±6.4321.74±5.63a27.71±9.16bc18.272<0.001
背部皮褶厚度(mm)18.73±8.7526.05±4.50a33.42±7.81bc20.776<0.001
脐旁皮褶厚度(mm)18.17±8.0328.24±6.87a35.60±10.92bc20.127<0.001
), ArticleFig(id=1324077893814465459, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=CN, label=表2, caption=

研究对象体格检查指标()

, figureFileSmall=null, figureFileBig=null, tableContent=
体格检查指标正常体重组超重组肥胖组F值P值
身高(cm)167.18±9.10169.81±8.99171.44±8.961.1370.328
体重(kg)60.33±8.0374.45±8.80a90.87±12.54bc47.037<0.001
BMI(kg/m2)21.50±1.2325.74±1.26a30.84±2.87bc117.259<0.001
体脂率(%)23.54±6.8728.08±11.1136.87±6.89bc12.493<0.001
肌肉量(kg)25.63±5.7229.19±6.1632.07±6.35b5.6200.006
体脂肪量(kg)13.89±3.3323.06±3.14a33.28±6.71bc82.534<0.001
腰围(cm)75.89±6.6387.67±5.85a99.37±9.42bc49.887<0.001
上臂皮褶厚度(mm)13.98±6.4321.74±5.63a27.71±9.16bc18.272<0.001
背部皮褶厚度(mm)18.73±8.7526.05±4.50a33.42±7.81bc20.776<0.001
脐旁皮褶厚度(mm)18.17±8.0328.24±6.87a35.60±10.92bc20.127<0.001
), ArticleFig(id=1324077893944488884, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=EN, label=Table 3, caption=

Biochemical parameters of research subjects()

, figureFileSmall=null, figureFileBig=null, tableContent=
实验室检测指标正常体重组超重组肥胖组F值P值
TC(mmol/L)4.28±0.874.12±0.674.18±0.750.2490.780
TG(mmol/L)1.18±0.771.21±0.571.76±0.923.7360.030
HDL-C(mmol/L)1.51±0.321.35±0.221.29±0.19b4.2700.019
LDL-C(mmol/L)2.24±0.612.22±0.462.01±0.650.4910.615
VLDL-C(mmol/L)0.54±0.350.55±0.260.80±0.423.7060.031
FT3(pmol/L)4.24±0.594.12±0.654.34±0.840.5010.608
FT4(pmol/L)14.40±1.6014.31±1.8114.05±2.500.1630.850
TSH(mU/L)4.93±3.104.17±2.084.21±2.040.6120.546
FPG(mmol/L)4.65±0.364.69±0.354.91±0.28b3.7480.029
FINS(μU/mL)6.63±2.6911.44±5.5420.10±11.48bc16.604<0.001
HbA1c(%)5.03±0.164.99±0.155.01±0.130.3910.678
), ArticleFig(id=1324077894028374965, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=CN, label=表3, caption=

研究对象生化检测指标()

, figureFileSmall=null, figureFileBig=null, tableContent=
实验室检测指标正常体重组超重组肥胖组F值P值
TC(mmol/L)4.28±0.874.12±0.674.18±0.750.2490.780
TG(mmol/L)1.18±0.771.21±0.571.76±0.923.7360.030
HDL-C(mmol/L)1.51±0.321.35±0.221.29±0.19b4.2700.019
LDL-C(mmol/L)2.24±0.612.22±0.462.01±0.650.4910.615
VLDL-C(mmol/L)0.54±0.350.55±0.260.80±0.423.7060.031
FT3(pmol/L)4.24±0.594.12±0.654.34±0.840.5010.608
FT4(pmol/L)14.40±1.6014.31±1.8114.05±2.500.1630.850
TSH(mU/L)4.93±3.104.17±2.084.21±2.040.6120.546
FPG(mmol/L)4.65±0.364.69±0.354.91±0.28b3.7480.029
FINS(μU/mL)6.63±2.6911.44±5.5420.10±11.48bc16.604<0.001
HbA1c(%)5.03±0.164.99±0.155.01±0.130.3910.678
), ArticleFig(id=1324077894108066742, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=EN, label=Table 4, caption=

Measurement results of energy consumption of the study subjects()

, figureFileSmall=null, figureFileBig=null, tableContent=
能量消耗指标正常体重组超重组肥胖组F值P值
BEE(kcal/d)1 866.55±428.781 930.52±376.352 234.55±525.82b3.8890.026
REE(kcal/d)2 028.70±401.532 070.90±359.182 291.10±432.672.2170.118
CIT(kcal/d)162.15±95.14140.38±115.9956.55±97.76bc5.8110.005
BMR[kcal/(kg·d)]30.89±5.6726.04±4.76a24.52±4.10b9.322<0.001
), ArticleFig(id=1324077895802565559, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=CN, label=表4, caption=

研究对象能量消耗测量结果()

, figureFileSmall=null, figureFileBig=null, tableContent=
能量消耗指标正常体重组超重组肥胖组F值P值
BEE(kcal/d)1 866.55±428.781 930.52±376.352 234.55±525.82b3.8890.026
REE(kcal/d)2 028.70±401.532 070.90±359.182 291.10±432.672.2170.118
CIT(kcal/d)162.15±95.14140.38±115.9956.55±97.76bc5.8110.005
BMR[kcal/(kg·d)]30.89±5.6726.04±4.76a24.52±4.10b9.322<0.001
), ArticleFig(id=1324077895915811768, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=EN, label=Table 5, caption=

Correlation analysis of BMI,CIT and BMR

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参数CIT vs BMIBMR vs BMICIT vs BMR
Spearman相关系数-0.452-0.421-0.153
P值<0.0010.0010.240
), ArticleFig(id=1324077896024863673, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=CN, label=表5, caption=

BMI、CIT和BMR相关关系分析

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参数CIT vs BMIBMR vs BMICIT vs BMR
Spearman相关系数-0.452-0.421-0.153
P值<0.0010.0010.240
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Relative abundances of plasma amino acids and derivatives of the study subjects()

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代谢物正常组超重组肥胖组F值P值QFDR
精氨酸8.76±0.388.60±0.448.19±0.57b4.4200.0200.129
N-乙酰-L-谷氨酸1.10±0.241.22±0.201.38±0.27b4.1470.0250.129
甘氨酸-组氨酸-赖氨酸9.00±0.319.07±0.299.31±0.24b3.7830.0340.129
草甘膦-0.89±1.680.01±1.360.87±1.65b3.4860.0430.129
亮氨酸-亮氨酸二肽1.36±0.661.27±0.631.89±0.832.5580.0940.225
γ-谷氨酰-L-谷氨酸0.69±0.861.20±0.531.08±0.491.8960.1670.293
3-甲基-L-组氨酸1.32±0.892.22±1.351.86±1.021.8710.1710.293
烟酰甘氨酸-1.06±2.06-1.75±1.79-0.38±1.391.7240.1950.293
还原型谷胱甘肽0.96±1.822.31±2.352.10±1.801.4620.2470.330
[D-Ala2]α-新内啡肽2.25±0.602.30±0.302.50±0.361.0060.3770.424
甘氨酸-苯丙氨酸1.98±1.282.03±1.552.74±1.430.9730.3890.424
同型半胱氨酸2.05±0.531.88±0.631.94±0.560.2640.7690.769
), ArticleFig(id=1324077896209413051, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=CN, label=表6, caption=

研究对象血浆氨基酸及衍生物相对丰度()

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代谢物正常组超重组肥胖组F值P值QFDR
精氨酸8.76±0.388.60±0.448.19±0.57b4.4200.0200.129
N-乙酰-L-谷氨酸1.10±0.241.22±0.201.38±0.27b4.1470.0250.129
甘氨酸-组氨酸-赖氨酸9.00±0.319.07±0.299.31±0.24b3.7830.0340.129
草甘膦-0.89±1.680.01±1.360.87±1.65b3.4860.0430.129
亮氨酸-亮氨酸二肽1.36±0.661.27±0.631.89±0.832.5580.0940.225
γ-谷氨酰-L-谷氨酸0.69±0.861.20±0.531.08±0.491.8960.1670.293
3-甲基-L-组氨酸1.32±0.892.22±1.351.86±1.021.8710.1710.293
烟酰甘氨酸-1.06±2.06-1.75±1.79-0.38±1.391.7240.1950.293
还原型谷胱甘肽0.96±1.822.31±2.352.10±1.801.4620.2470.330
[D-Ala2]α-新内啡肽2.25±0.602.30±0.302.50±0.361.0060.3770.424
甘氨酸-苯丙氨酸1.98±1.282.03±1.552.74±1.430.9730.3890.424
同型半胱氨酸2.05±0.531.88±0.631.94±0.560.2640.7690.769
), ArticleFig(id=1324077896284910524, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=EN, label=Table 7, caption=

Associations between plasma amino acids and energy metabolic parameters

, figureFileSmall=null, figureFileBig=null, tableContent=
代谢指标代谢物相关系数rP值
CIT精氨酸0.4310.017
同型半胱氨酸0.3790.039
烟酰甘氨酸-0.4140.023
N-乙酰-L-谷氨酸-0.4160.022
亮氨酸-亮氨酸二肽-0.3190.033
3-甲基-L-组氨酸-0.3750.041
[D-Ala2]α-新内啡肽-0.4130.023
BEE甘氨酸-组氨酸-赖氨酸0.3800.038
γ-谷氨酰-L-谷氨酸-0.3830.037
BMR还原型谷胱甘肽0.3770.040
草甘膦-0.3640.048
REE甘氨酸-苯丙氨酸0.3650.048
γ-谷氨酰-L-谷氨酸-0.3750.041
), ArticleFig(id=1324077896372990909, tenantId=1146029695717560320, journalId=1227665162245664772, articleId=1324077884024959836, language=CN, label=表7, caption=

血浆氨基酸与能量代谢相关指标的相关性分析

, figureFileSmall=null, figureFileBig=null, tableContent=
代谢指标代谢物相关系数rP值
CIT精氨酸0.4310.017
同型半胱氨酸0.3790.039
烟酰甘氨酸-0.4140.023
N-乙酰-L-谷氨酸-0.4160.022
亮氨酸-亮氨酸二肽-0.3190.033
3-甲基-L-组氨酸-0.3750.041
[D-Ala2]α-新内啡肽-0.4130.023
BEE甘氨酸-组氨酸-赖氨酸0.3800.038
γ-谷氨酰-L-谷氨酸-0.3830.037
BMR还原型谷胱甘肽0.3770.040
草甘膦-0.3640.048
REE甘氨酸-苯丙氨酸0.3650.048
γ-谷氨酰-L-谷氨酸-0.3750.041
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超重与肥胖成年人能量与氨基酸代谢特征及其关联分析
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赵研言 1 , 张倩薇 2 , 奚屿芩 1 , 刘心玥 1 , 徐伟鑫 1 , 卜凡 3 , 李毓萍 4 , 李鸣 1
现代预防医学 | 健康与社会行为 2026,53(4): 713-719
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现代预防医学 |健康与社会行为 2026 , 53 (4) : 713 -719
超重与肥胖成年人能量与氨基酸代谢特征及其关联分析
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赵研言1, 张倩薇2, 奚屿芩1, 刘心玥1, 徐伟鑫1, 卜凡3, 李毓萍4, 李鸣1
作者信息
  • 1.四川大学华西公共卫生学院/四川大学华西第四医院,四川 成都 610041
  • 2.成都市双流区卫生健康局
  • 3.四川省医学科学院,四川省人民医院(电子科技大学附属医院
  • 4.四川大学华西第二医院临床营养科
通讯作者:
李鸣,E-mail:
作者简介:

赵研言(2001—),女,硕士在读,研究方向:公共卫生

Energy and amino acid metabolic features in overweight and obese adults and their associations with weight status
Yan-yan ZHAO1, Qian-wei ZHANG2, Yu-qin XI1, Xin-yue LIU1, Wei-xin XU1, Fan BU3, Yu-ping LI4, Ming LI1
Affiliations
  • West China School of Public Health, Sichuan University/ West China Fourth Hospital, Chengdu, Sichuan 610041, China
出版时间: 2026-02-25 doi: 10.20043/j.cnki.MPM.202507432
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目的

以正常体重为对照,评估超重与肥胖人群的能量与氨基酸代谢特征,并分析二者关联,为肥胖代谢机制研究提供依据。

方法

在成都市招募61名健康成人,按体质指数(BMI)分为正常体重组(18.5~23.9 kg/m2)、超重组(24.0~27.9 kg/m2)和肥胖组(≥ 28.0 kg/m2)。通过间接测热法测定基础能量消耗(BEE)、寒冷刺激后静息能量消耗(REE),计算冷诱导产热(CIT)及基础代谢率(BMR);应用非靶向代谢组学检测血浆氨基酸水平,采用方差分析和Spearman秩相关分析评估组间差异及相关性。

结果

超重和肥胖组BMR和CIT降低,CIT和BMR与BMI呈负相关(r=-0.452, P<0.001; r=-0.421, P=0.001)。非靶向代谢组学分析未见组间氨基酸水平显著差异,相关性分析显示,CIT与精氨酸呈正相关(r=0.431, P=0.017),与亮氨酸-亮氨酸二肽、烟酰甘氨酸呈负相关(r=-0.319, P=0.033; r=-0.414, P=0.023);BMR与还原型谷胱甘肽呈正相关(r=0.377, P=0.040)。

结论

肥胖个体BMR和CIT下降,特定氨基酸水平与能量代谢密切相关,提示氨基酸代谢可能与肥胖相关的能量代谢异常存在关联。

超重肥胖  /  基础代谢  /  氨基酸
Objective

To assess energy and amino acid metabolic features in overweight and obese adults compared with normal-weight controls, and to examine their associations to better understand the metabolic mechanisms of obesity.

Methods

A total of 61 healthy adults were recruited in Chengdu, China, and categorized into normal weight (18.5-23.9 kg/m2), overweight (24.0-27.9 kg/m2), and obese (≥28.0 kg/m2) groups according to body mass index (BMI). Basal energy expenditure (BEE) and resting energy expenditure after cold exposure (REE) were measured using indirect calorimetry, and cold-induced thermogenesis (CIT) and basal metabolic rate (BMR) were calculated. Plasma amino acid levels were determined using non-targeted metabolomics. Group differences and correlations were assessed by analysis of variance and Spearman rank correlation, respectively.

Results

BMR and CIT were lower in the overweight and obese groups, and both CIT and BMR were negatively correlated with BMI (r=-0.452, P<0.001; r=-0.421, P=0.001). Non-targeted metabolomics revealed no significant between-group differences in amino acid levels. Correlation analysis showed that CIT was positively correlated with arginine (r=0.431, P=0.017) and negatively correlated with Leu-Leu and nicotinuric acid (r=-0.319, P=0.033; r=-0.414, P=0.023). BMR was positively correlated with L-glutathione, reduced (r=0.377, P=0.040).

Conclusion

Obese individuals exhibit reduced BMR and CIT, and specific plasma amino acids are closely related to energy metabolism indicators, suggesting that amino acid metabolism may be involved in obesity-related energy metabolic dysregulation.

Overweight and Obesity  /  Basal Metabolism  /  Amino Acids
赵研言, 张倩薇, 奚屿芩, 刘心玥, 徐伟鑫, 卜凡, 李毓萍, 李鸣. 超重与肥胖成年人能量与氨基酸代谢特征及其关联分析. 现代预防医学, 2026 , 53 (4) : 713 -719 . DOI: 10.20043/j.cnki.MPM.202507432
Yan-yan ZHAO, Qian-wei ZHANG, Yu-qin XI, Xin-yue LIU, Wei-xin XU, Fan BU, Yu-ping LI, Ming LI. Energy and amino acid metabolic features in overweight and obese adults and their associations with weight status[J]. Modern Preventive Medicine, 2026 , 53 (4) : 713 -719 . DOI: 10.20043/j.cnki.MPM.202507432
近年来,超重与肥胖已成为全球最严峻的公共卫生问题之一。根据世界卫生组织(WHO)报告,2022年全球超过10亿成人肥胖[1]。我国的肥胖问题亦日益严重,2025年《世界肥胖报告》预测2025年中国高BMI成年人口占比将达41%、肥胖患病率达9%[2]。肥胖不仅显著增加2型糖尿病、心脑血管疾病等慢性病发生风险[3],还可能影响体内能量代谢稳态,加重代谢负担[4]。
能量代谢紊乱是肥胖发生和发展的核心机制之一。基础代谢指机体在静息状态下维持正常生理功能所需的最低能量,占每日总能量消耗的60%~70%[5],对维持能量稳态具有重要意义。国内外多项研究均发现超重肥胖与基础代谢水平密切相关,肥胖个体除表现为体脂率升高、瘦体重组成改变外,常伴随基础代谢率降低,以及胰岛素等代谢相关激素的异常,进而影响能量代谢调节功能和体重稳态[6-8]。
氨基酸代谢异常亦与肥胖密切相关。特定氨基酸如支链氨基酸(BCAA)、精氨酸、组氨酸和甘氨酸等被认为可能参与调控胰岛素敏感性、炎症反应和脂肪组织功能[9-11]。近年来,人群代谢组学研究进一步证实了肥胖相关的氨基酸谱改变,如中国慢性病前瞻性研究[12]的靶向代谢组学分析显示,BMI升高与11种血浆氨基酸水平显著相关,其中异亮氨酸、亮氨酸等随BMI升高而升高,而甘氨酸、丝氨酸等呈下降趋势。这些氨基酸可能通过影响线粒体代谢或棕色脂肪组织(Brown Adipose Tissue, BAT)活性,参与能量代谢过程[13]。
已有研究在重症患者等特殊群体中应用间接测热与同位素示踪技术,评估静息能量消耗及全身氨基酸代谢通量,发现能量消耗水平与特定氨基酸(如瓜氨酸)浓度存在相关性[14]。然而,在一般人群中同时评估基础能量代谢与血浆氨基酸水平,并探讨其相关性的研究仍相对有限。
本研究以正常体重者为对照,采用间接测热法测定正常体重、超重和肥胖成人的能量代谢指标,并利用非靶向代谢组学技术分析血浆氨基酸谱特征,系统评估超重与肥胖人群能量代谢及氨基酸水平的差异,并在整体样本中进一步分析能量代谢指标与血浆氨基酸水平的相关性,为深入理解肥胖的能量代谢机制及其潜在干预靶点提供科学依据。
本研究采用方便抽样,招募健康成人志愿者,通过张贴线下招募海报、在微信公众平台/微信群发布招募信息等方式发布研究信息,由有意向者主动联系研究人员报名。根据身体质量指数(Body Mass Index, BMI)[15]将研究对象分为正常体重组(18.5~23.9 kg/m2)、超重组(24.0~27.9 kg/m2)和肥胖组(≥ 28.0 kg/m2)。纳入标准:①年龄在18~45岁之间;②无急慢性疾病、无贫血;③甲状腺素水平正常;④女性月经周期规律。排除标准:①最近6个月常出现失眠、易紧张等应激情况;②生化指标出现有临床意义的异常(血常规、肝肾常规、空腹血糖、甲状腺功能);③最近6个月内体重变化超过5%;④现患消化系统疾病(如便秘)和影响能量代谢的疾病,如甲亢、甲减、肾上腺皮质增生症;⑤睡眠打鼾者;⑥近期(3月内)服用过抗生素或益生菌制品等;⑦运动员、健身爱好者、从事重体力劳动等肌肉发达者。本研究方案通过四川大学华西第四医院/华西公共卫生学院伦理审查委员会审查(编号:GWll2021046),所有研究对象在参与调查前均签署知情同意书。
通过问卷调查研究对象的人口学特征、生活行为方式等信息。由专业人员现场测量研究对象身高、体重、腰围及上臂、脐旁、背部的皮褶厚度。使用四电极生物电阻抗分析仪(InBodyDial H20)检测体脂率、肌肉量、去脂体重、BMI等指标。
采用间接测热法,通过无线遥测运动心肺功能测试系统(COSMED-K5,Italy)测量基础能量消耗(Basal energy expenditure, BEE)与寒冷刺激后静息能量消耗(Resting energy expenditure, REE),并计算二者之间的差值获得冷诱导产热(Cold-induced thermogenesis,CIT)以反映棕色脂肪活性[16]。根据Weir公式计算基础代谢率(basal metabolic rate, BMR)[kcal/(kg·d)]=BEE(kcal/d)/W(kg)[17]。
空腹状态下由专业人员采集静脉血,检测空腹血糖(Fasting Plasma Glucose, FPG)、总胆固醇(Total Cholesterol, TC)、甘油三酯(Triglyceride, TG)、高密度脂蛋白胆固醇(High Density Lipoprotein Cholesterol, HDL-C)、低密度脂蛋白胆固醇(Low Density Lipoprotein Cholesterol, LDL-C)、极低密度脂蛋白胆固醇(Very Low Density Lipoprotein Cholesterol, VLDL-C)、促甲状腺激素(thyroid stimulating hormone, TSH)、游离甲状腺素(free thyroxine, FT4)、游离三碘甲状腺原氨酸(free triiodothyronine, FT3)、空腹胰岛素(Fasting Insulin, FINS)和糖化血红蛋白(Glycosylated hemoglobin, HbA1c)。
为系统表征血浆氨基酸及相关代谢物谱特征,并为后续关联分析提供依据,本研究采用非靶向代谢组学技术对血浆样本进行检测。
采集的血样于-80 ℃冻存,检测前缓慢解冻,加入甲醇/乙腈/水(2∶2∶1, v/v)混合物沉淀蛋白,低温超声提取后离心,取上清真空干燥,再次复溶离心后进样。
采用Vanquish UHPLC系统配HILIC色谱柱分离,Q Exactive质谱仪(Thermo)分别在正负离子模式下采集一级和二级质谱数据。原始数据经ProteoWizard转换为mzXML格式,用R软件XCMS包进行峰提取和对齐,并参考HMDB、KEGG等数据库进行代谢物鉴定,剔除质量控制(quality control, QC)样本中相对标准偏差(relative standard deviation, RSD)>30%的代谢物。
对所得代谢物峰面积矩阵进行总峰面积归一化(sum normalization)处理,以校正样本间因进样量和仪器响应带来的系统误差,计算得到代谢物的相对丰度。随后对归一化后的数据进行对数转换,使其分布更接近正态分布,以满足后续统计分析的要求。
采用正交偏最小二乘判别分析(orthogonal partial least squares discriminant analysis, OPLS-DA)对经质控筛选的代谢物数据进行建模,以观察三组受试者在代谢特征上的分离趋势,并评估是否存在可区分的差异代谢谱。
采用SPSS 26.0软件和R 4.3.2进行数据处理和统计分析。计量资料用表示,采用单因素方差分析比较组间差异;计数资料用率(%)表示,采用χ2检验比较组间差异;两两比较采用Bonferroni法进行校正;采用正交偏最小二乘判别分析探索不同体重状态下血浆代谢谱的整体差异;在整体样本中,基于代谢物注释结果确定氨基酸及其衍生物,采用Spearman秩相关分析评估其与能量代谢指标之间的相关性。检验水平α=0.05(双侧)。
本研究共纳入61名研究对象,正常体重组20人(32.8%),超重组21人(34.4%),肥胖组20人(32.8%)。各组研究对象的基本情况见表1。三组在性别、年龄、运动习惯、饮酒、睡眠情况等方面差异无统计学意义(P>0.05),肥胖组中喜好油腻、高脂肪食物的比例最高(70%),显著高于正常体重组(30%)和超重组(19.05%)(P< 0.05)。除饮食偏好外,三组总体在人口学和生活方式特征上较为一致。
三组在身高上差异无统计学意义(P=0.328);超重组和肥胖组体重、BMI、体脂肪量、腰围和各部位皮褶厚度显著高于正常体重组,且肥胖组高于超重组;肥胖组体脂率高于超重组和正常体重组,体脂肪量高于正常体重组(P<0.05)。具体见表2。
生化结果见表3。三组在TG、HDL-C、VLDL-C、FPG、FINS水平上存在显著差异(P<0.05),其中肥胖组HDL-C水平低于正常体重组,FPG高于正常体重组,FINS水平高于超重组和正常体重组(P<0.05)。三组在TC、LDL-C、FT3、FT4、TSH和HbA1c上差异无统计学意义(P>0.05)。
三组在BEE、CIT和BMR上存在显著差异(P<0.05),而REE的组间差异无统计学意义(P > 0.05)。两两比较结果显示,肥胖组BEE高于正常体重组;CIT在肥胖组最低,显著低于正常体重组和超重组;正常体重组BMR高于超重组和肥胖组(P<0.05)。具体见表4。
进一步对CIT和BMR与BMI进行相关分析,结果见表5。CIT和BMR与BMI呈中度负相关(r=-0.452,P<0.001;r=-0.421,P=0.001),提示BMI越高,CIT和BMR越低。CIT与BMR之间的相关性不显著(r=-0.153,P=0.240)。
构建了OPLS-DA模型对三组样本的代谢谱进行两两比较,结果见图1,模型得分图显示组间代谢谱存在分离趋势,但置换检验结果提示模型存在明显的过拟合风险(pQ2>0.05)。模型尚不能判断三组之间是否存在可靠的代谢物差异。
本研究共检出1 070种代谢物,其中氨基酸及其衍生物183种,采用Spearman秩相关分析评估其与能量代谢相关指标之间的相关性,结果显示,12种氨基酸及其衍生物与能量代谢指标的相关性具有统计学意义。单因素方差分析结果见表6,N-乙酰-L-谷氨酸、甘氨酰-组氨酰-赖氨酸及草甘膦在三组间存在显著差异(P<0.05),且肥胖组均高于正常组;肥胖组精氨酸低于正常体重组(P<0.05)。然而经FDR多重校正后,上述差异不具有统计学意义(QFDR>0.05)。其余代谢物在三组间亦无显著差异。
Spearman相关分析结果见表7。CIT与精氨酸等呈正相关,与亮氨酸-亮氨酸二肽、烟酰甘氨酸等多种代谢产物呈负相关;BEE与甘氨酰-组氨酰-赖氨酸三肽呈正相关,与γ-谷氨酰-L-谷氨酸呈负相关;BMR与还原型谷胱甘肽呈正相关,与草甘膦呈负相关;REE与甘氨酰-苯丙氨酸呈正相关,与γ-谷氨酰-L-谷氨酸呈负相关(P<0.05)。
本研究基于间接测热法与非靶向代谢组学技术,系统表征了超重与肥胖人群的能量与氨基酸代谢特征,并在整体样本中进一步揭示了二者之间的关联。研究发现,随着BMI的升高,体脂率及腰围等指标均显著升高,与河北某医院健康成人的体检结果一致[18],反映出超重与肥胖个体具有明显的脂肪过度沉积及中心性肥胖特征。生化检测显示,相较于正常体重组,超重与肥胖组TG、VLDL-C、空腹血糖和胰岛素水平升高、HDL-C水平下降,提示肥胖个体虽未达到临床意义的超标,但已出现一定程度的糖脂代谢紊乱。此类代谢变化被认为是代谢综合征的早期表型特征,亦符合代谢健康型肥胖(MHO)[19]。
本研究通过间接测热法评估研究对象的基础能量消耗、基础代谢率(BMR)以及冷诱导产热(CIT)。结果显示,超重组和肥胖组BMR显著低于正常体重组,提示肥胖个体单位体质量每日所需基础能量减少,可能促进正能量平衡,进而加剧体重的持续增长。肥胖组的CIT显著低于正常体重组与超重组,与课题组前期实验以及Wu等的研究结果一致[20-21]。CIT作为衡量棕色脂肪组织(Brown Adipose Tissue, BAT)活性的间接指标,其下降反映出肥胖个体产热能力的减弱。研究发现,BAT富含线粒体,通过解偶联蛋白1(uncoupling protein 1, UCP1)介导非颤抖性产热,可在寒冷刺激或激素调节下显著增加能量消耗,对维持能量平衡和抵抗体重增加具有重要作用[22]。PET/MRI研究[23]进一步提示,在健康成人中BAT活性与体脂水平和膳食结构密切相关,BAT低活性人群往往伴随更不利的代谢表型,而肥胖个体常表现为BAT活性下降及基础代谢率降低,提示其能量代谢调节功能受损[24]。本研究中观察到的CIT和BMR降低,可能反映出肥胖相关的多层次产热功能障碍,为后续开发靶向脂肪组织产热的干预策略提供理论依据。
本研究采用Spearman秩相关分析对氨基酸浓度与能量代谢各指标间的关系进行了评估。结果显示多种氨基酸与能量代谢密切相关。分析表明,CIT与精氨酸水平呈显著正相关,这与Gong等[25]在小鼠实验中发现冷暴露诱导后的BAT组织中精氨酸生物合成增加的结果相似,提示精氨酸可能通过调控一氧化氮(NO)合成[26]、促进线粒体生物合成[27]等增强BAT活性和全身能量代谢。此外,CIT还与多种短肽和氨基酸衍生物(如亮氨酸-亮氨酸二肽、烟酰甘氨酸等)呈负相关,已有多项代谢组学研究报道,支链氨基酸及其相关二肽在超重、肥胖及胰岛素抵抗人群中普遍升高,并与不良代谢表型相关[28];烟酸代谢相关小分子也多次被识别为代谢综合征和心血管风险升高的候选标志物[29]。结合本研究结果,亮氨酸-亮氨酸二肽和烟酰甘氨酸水平的升高可能代表了肥胖个体中不利的氨基酸代谢特征,与产热能力下降、能量代谢不良相伴出现,其具体调控网络仍需进一步验证和阐明。
本研究中,BMR与还原型谷胱甘肽呈正相关,谷胱甘肽作为重要的细胞内抗氧化剂,在清除活性氧、维持线粒体功能和能量代谢稳态中发挥关键作用。已有综述指出,肥胖与糖尿病患者普遍存在谷胱甘肽合成减少与消耗增加的现象,与胰岛β细胞功能障碍及胰岛素抵抗密切相关[30];临床试验进一步证实,补充谷胱甘肽可改善肥胖男性的胰岛素敏感性[31]。本研究结果提示,维持相对充足的谷胱甘肽水平可能有利于保持较高的基础能量消耗,而谷胱甘肽不足则可能构成肥胖个体能量代谢受损的重要背景。
在血浆氨基酸谱分析中,观察到部分氨基酸在组间存在差异趋势,但在采用FDR进行多重检验校正后,三组间的氨基酸及衍生物水平并无统计学差异。此外,研究采用OPLS-DA模型尝试识别组间代谢差异,但置换检验结果提示模型存在过拟合风险,未能获得稳定可靠的判别结果,提示三组整体氨基酸谱差异可能并不显著。这一方面可能受限于本研究较小的样本量,另一方面也提示在青年肥胖人群中,血浆氨基酸谱的整体改变可能尚不显著,或需要更大样本才能稳定检出。
本研究有一定的局限性,一是样本数量有限、对象以高校学生为主,职业和收入结构相对单一,且年龄集中在青年期,可能在一定程度上限制了研究结论向其他人群的外推性。二是采用横断面设计,无法推断因果,未来可以考虑采用更大规模、多中心、纵向研究,结合多组学技术探索相关机制。
综上所述,本研究发现超重与肥胖个体的基础代谢率均低于正常体重者,肥胖个体的冷诱导产热显著下降,提示肥胖人群存在产热功能受损和能量消耗不足;多种血浆氨基酸与能量代谢指标密切相关,提示氨基酸代谢异常可能是肥胖相关能量代谢紊乱的重要组成部分。结果为揭示肥胖相关代谢机制及个体化干预策略提供了理论依据。
  • 国家自然科学基金(82073550)
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doi: 10.20043/j.cnki.MPM.202507432
  • 接收时间:2025-07-29
  • 首发时间:2026-11-02
  • 出版时间:2026-02-25
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  • 收稿日期:2025-07-29
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国家自然科学基金(82073550)
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    1.四川大学华西公共卫生学院/四川大学华西第四医院,四川 成都 610041
    2.成都市双流区卫生健康局
    3.四川省医学科学院,四川省人民医院(电子科技大学附属医院
    4.四川大学华西第二医院临床营养科

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2种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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