Supporting data for "Lipidomic profiling reveals distinct differences in plasma lipid composition in healthy, prediabetic and type 2 diabetic individuals"

Dataset type: Lipidomic
Data released on May 08, 2017

Bao X; Chen J; Fan Y; Fang C; Hou G; Jie Z; Lu Y; Peng Y; Ren H; Wen B; Wu J; Xie H; Yang F; Ye Z; Zhao G; Zhong H; Zi J; Gao Y; Hu Y; Zhang J; Yang H; Madsen L; Wang J; Kristiansen K; Ni C; Li J; Liu S (2017): Supporting data for "Lipidomic profiling reveals distinct differences in plasma lipid composition in healthy, prediabetic and type 2 diabetic individuals" GigaScience Database. http://dx.doi.org/10.5524/100306

DOI10.5524/100306

The relationship between dyslipidemia and type 2 diabetes (T2D) has been extensively reported, but the global lipid profiles, especially in the East Asia population, associated with the development of T2D remain to be characterized. Liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS) was applied to detect the global lipidome in fasting plasma of 293 Chinese individuals, including 114 T2D patients, 81 prediabetic subjects and 98 individuals with normal glucose tolerance (NGT). Both qualitative and quantitative analyses revealed a gradual change in plasma lipid features going from NGT individuals over prediabetic to T2D individuals with T2D patients exhibiting characteristics close to those in prediabetic individuals, whereas they differed significantly from individuals with NGT. We constructed and validated a random forest (RF) classifier with 28 lipidomic features that effectively discriminated T2D from NGT or prediabetes. The majority of the selected features showed significant correlations with diabetic clinical indices. Hydroxybutyrylcarnitine was positively correlated with fasting plasma glucose (FPG), 2-hour postprandial glucose (2h-PG), glycated hemoglobin (HbA1c) and insulin resistance index (HOMA-IR), and lysophosphatidylcholines such as LysoPC (18:0), LysoPC (18:1) and LysoPC (18:2) were all negatively correlated with HOMA-IR.

Additional details

Read the peer-reviewed publication(s):

Zhong, H., Fang, C., Fan, Y., Lu, Y., Wen, B., Ren, H., … Liu, S. (2017). Lipidomic profiling reveals distinct differences in plasma lipid composition in healthy, prediabetic, and type 2 diabetic individuals. GigaScience, 6(7). doi:10.1093/gigascience/gix036

Accessions (data included in GigaDB):

MetaboLights: MTBLS352





Sample IDTaxonomic IDCommon NameGenbank NameScientific NameSample Attributes
SD-B001689606HumanhumanHomo sapiens Description:fasting plasma sampled from 70 years o...
Miscellaneous parameter:diagnosis:type 2 diabetes ...
Sex:F
...
+
SD-B001709606HumanhumanHomo sapiens Description:fasting plasma sampled from 76 years o...
Miscellaneous parameter:diagnosis:type 2 diabetes ...
Sex:F
...
+
SD-B001719606HumanhumanHomo sapiens Description:fasting plasma sampled from 70 years o...
Miscellaneous parameter:diagnosis:type 2 diabetes ...
Sex:F
...
+
SD-B001749606HumanhumanHomo sapiens Description:fasting plasma sampled from 75 years o...
Miscellaneous parameter:diagnosis:prediabetes synd...
Sex:F
...
+
SD-B001779606HumanhumanHomo sapiens Description:fasting plasma sampled from 66 years o...
Miscellaneous parameter:diagnosis:prediabetes synd...
Sex:M
...
+
SD-B001799606HumanhumanHomo sapiens Description:fasting plasma sampled from 57 years o...
Miscellaneous parameter:diagnosis:prediabetes synd...
Sex:F
...
+
SD-B001819606HumanhumanHomo sapiens Description:fasting plasma sampled from 55 years o...
Miscellaneous parameter:diagnosis:Normal Glucose T...
Sex:M
...
+
SD-B001829606HumanhumanHomo sapiens Description:fasting plasma sampled from 53 years o...
Miscellaneous parameter:diagnosis:type 2 diabetes ...
Sex:F
...
+
SD-B001839606HumanhumanHomo sapiens Description:fasting plasma sampled from 86 years o...
Miscellaneous parameter:diagnosis:prediabetes synd...
Sex:F
...
+
SD-B000019606HumanhumanHomo sapiens Description:fasting plasma sampled from 59 years o...
Miscellaneous parameter:diagnosis:Normal Glucose T...
Sex:F
...
+
Displaying 81-90 of 293 Sample(s).




File NameSample IDData TypeFile FormatSizeRelease Date 
ScriptTEXT2.97 KB2017-04-26
ScriptTEXT15.35 KB2017-04-26
otherTEXT0.18 KB2017-04-26
otherTEXT0.5 KB2017-04-26
otherTEXT1.15 KB2017-04-26
tabular dataCSV596.48 KB2017-04-26
tabular dataCSV591.41 KB2017-04-26
TextTEXT8.13 KB2017-04-26
TextTEXT8.15 KB2017-04-26
ScriptTEXT0.95 KB2017-04-26
Displaying 1-10 of 39 File(s).
Funding body Awardee Award ID Comments
Shenzhen Municipal Government of China Dr Junhua Li JSGG20160229172752028
Shenzhen Municipal Government of China Dr Junhua Li JSGG20140702161403250
Shenzhen Municipal Government of China Dr Junhua Li CXB201108250098A
Shenzhen Municipal Government of China Dr Junhua Li DRC-SZ [2015]162
Suzhou Biobank Mr Yihe Hu SS201111
Date Action
May 8, 2017 Dataset publish
October 2, 2017 Manuscript Link added : 10.1093/gigascience/gix036