BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women

Objective The study aimed to identify BMI‐related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). Methods Plasma lipidome, height, and weight were measured in early pregnancy among 1008 women. Pearson correlation analyses and least absolute shrinkage and...

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Published inObesity (Silver Spring, Md.) Vol. 30; no. 10; pp. 2044 - 2054
Main Authors Wang, Yi, Wu, Ping, Huang, Yichao, Ye, Yi, Yang, Xue, Sun, Fengjiang, Ye, Yi‐Xiang, Lai, Yuwei, Ouyang, Jing, Wu, Linjing, Li, Yue, Li, Yanqin, Zhao, Bin, Wang, Yixin, Liu, Gang, Pan, Xiong‐Fei, Chen, Da, Pan, An
Format Journal Article
LanguageEnglish
Published Silver Spring Blackwell Publishing Ltd 01.10.2022
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Abstract Objective The study aimed to identify BMI‐related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). Methods Plasma lipidome, height, and weight were measured in early pregnancy among 1008 women. Pearson correlation analyses and least absolute shrinkage and selection operator regression (LASSO) were performed to identify BMI‐associated lipids. Based on these lipids, a lipid score was created using LASSO, and its association with GDM risk was evaluated by conditional logistic regression. The causal relationships between BMI and lipids were tested by Mendelian randomization analysis with genotyping data. Mediation analysis was conducted to evaluate the mediating effect of lipids on the association of BMI with GDM. Results Of 366 measured lipids, BMI was correlated with 28 lipids, which mainly belong to glycerophospholipids and glycerolipids. A total of 10 lipid species were associated with BMI, and a lipid score was established. A causal relationship between BMI and lysophosphatidylcholine 14:0 was observed. The lipid score was associated with a 1.69‐fold increased risk of GDM per 1‐point increment (95% CI: 1.33‐2.15). Furthermore, BMI‐associated lipids might explain 66.4% of the relationship between BMI and GDM. Conclusions Higher BMI in early pregnancy was associated with altered lipid metabolism that may contribute to the increased risk of GDM.
AbstractList Objective The study aimed to identify BMI‐related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). Methods Plasma lipidome, height, and weight were measured in early pregnancy among 1008 women. Pearson correlation analyses and least absolute shrinkage and selection operator regression (LASSO) were performed to identify BMI‐associated lipids. Based on these lipids, a lipid score was created using LASSO, and its association with GDM risk was evaluated by conditional logistic regression. The causal relationships between BMI and lipids were tested by Mendelian randomization analysis with genotyping data. Mediation analysis was conducted to evaluate the mediating effect of lipids on the association of BMI with GDM. Results Of 366 measured lipids, BMI was correlated with 28 lipids, which mainly belong to glycerophospholipids and glycerolipids. A total of 10 lipid species were associated with BMI, and a lipid score was established. A causal relationship between BMI and lysophosphatidylcholine 14:0 was observed. The lipid score was associated with a 1.69‐fold increased risk of GDM per 1‐point increment (95% CI: 1.33‐2.15). Furthermore, BMI‐associated lipids might explain 66.4% of the relationship between BMI and GDM. Conclusions Higher BMI in early pregnancy was associated with altered lipid metabolism that may contribute to the increased risk of GDM.
OBJECTIVEThe study aimed to identify BMI-related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). METHODSPlasma lipidome, height, and weight were measured in early pregnancy among 1008 women. Pearson correlation analyses and least absolute shrinkage and selection operator regression (LASSO) were performed to identify BMI-associated lipids. Based on these lipids, a lipid score was created using LASSO, and its association with GDM risk was evaluated by conditional logistic regression. The causal relationships between BMI and lipids were tested by Mendelian randomization analysis with genotyping data. Mediation analysis was conducted to evaluate the mediating effect of lipids on the association of BMI with GDM. RESULTSOf 366 measured lipids, BMI was correlated with 28 lipids, which mainly belong to glycerophospholipids and glycerolipids. A total of 10 lipid species were associated with BMI, and a lipid score was established. A causal relationship between BMI and lysophosphatidylcholine 14:0 was observed. The lipid score was associated with a 1.69-fold increased risk of GDM per 1-point increment (95% CI: 1.33-2.15). Furthermore, BMI-associated lipids might explain 66.4% of the relationship between BMI and GDM. CONCLUSIONSHigher BMI in early pregnancy was associated with altered lipid metabolism that may contribute to the increased risk of GDM.
Objective: The study aimed to identify BMI-related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). Methods: Plasma lipidome, height, and weight were measured in early pregnancy among 1008 women. Pearson correlation analyses and least absolute shrinkage and selection operator regression (LASSO) were performed to identify BMI-associated lipids. Based on these lipids, a lipid score was created using LASSO, and its association with GDM risk was evaluated by conditional logistic regression. The causal relationships between BMI and lipids were tested by Mendelian randomization analysis with genotyping data. Mediation analysis was conducted to evaluate the mediating effect of lipids on the association of BMI with GDM. Results: Of 366 measured lipids, BMI was correlated with 28 lipids, which mainly belong to glycerophospholipids and glycerolipids. A total of 10 lipid species were associated with BMI, and a lipid score was established. A causal relationship between BMI and lysophosphatidylcholine 14:0 was observed. The lipid score was associated with a 1.69-fold increased risk of GDM per 1-point increment (95% CI: 1.33-2.15). Furthermore, BMI-associated lipids might explain 66.4% of the relationship between BMI and GDM. Conclusions: Higher BMI in early pregnancy was associated with altered lipid metabolism that may contribute to the increased risk of GDM.
Abstract Objective The study aimed to identify BMI‐related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). Methods Plasma lipidome, height, and weight were measured in early pregnancy among 1008 women. Pearson correlation analyses and least absolute shrinkage and selection operator regression (LASSO) were performed to identify BMI‐associated lipids. Based on these lipids, a lipid score was created using LASSO, and its association with GDM risk was evaluated by conditional logistic regression. The causal relationships between BMI and lipids were tested by Mendelian randomization analysis with genotyping data. Mediation analysis was conducted to evaluate the mediating effect of lipids on the association of BMI with GDM. Results Of 366 measured lipids, BMI was correlated with 28 lipids, which mainly belong to glycerophospholipids and glycerolipids. A total of 10 lipid species were associated with BMI, and a lipid score was established. A causal relationship between BMI and lysophosphatidylcholine 14:0 was observed. The lipid score was associated with a 1.69‐fold increased risk of GDM per 1‐point increment (95% CI: 1.33‐2.15). Furthermore, BMI‐associated lipids might explain 66.4% of the relationship between BMI and GDM. Conclusions Higher BMI in early pregnancy was associated with altered lipid metabolism that may contribute to the increased risk of GDM.
Author Liu, Gang
Ye, Yi‐Xiang
Sun, Fengjiang
Wang, Yixin
Li, Yanqin
Pan, An
Ouyang, Jing
Chen, Da
Wu, Linjing
Wang, Yi
Pan, Xiong‐Fei
Ye, Yi
Lai, Yuwei
Wu, Ping
Yang, Xue
Li, Yue
Zhao, Bin
Huang, Yichao
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Cites_doi 10.1016/j.diabres.2014.12.015
10.1172/JCI44442
10.1016/j.numecd.2021.03.025
10.3390/ijms20051149
10.1016/j.placenta.2015.04.006
10.14348/molcells.2015.0126
10.1136/bmj.j1
10.1530/EJE-21-0118
10.1194/jlr.M014787
10.3389/fendo.2020.611929
10.1210/clinem/dgab596
10.1159/000487118
10.1016/j.cell.2018.08.016
10.1371/journal.pone.0111348
10.1021/acs.est.9b04369
10.1002/oby.22670
10.1016/j.numecd.2017.09.009
10.1016/j.cmet.2018.09.022
10.1371/journal.pone.0156612
10.1038/ng.1087
10.1159/000365037
10.1007/s00125-013-2869-1
10.3390/ijms160613442
10.3390/ijms19113342
10.1111/ppe.12691
10.1021/acs.jafc.0c04236
10.1038/s41572‐019‐0098‐8
10.1093/ajcn/nqab242
10.1146/annurev-immunol-031210-101322
10.1016/j.ebiom.2019.10.046
10.1210/clinem/dgaa058
10.3945/ajcn.116.130872
10.1016/j.metabol.2013.10.001
10.2337/db12-1122
10.1093/ije/dyq151
10.1038/s41598‐017‐19120‐0
10.1038/ijo.2016.153
10.1007/s11010-006-9280-x
10.1038/ng.1086
10.2337/dc10-0719
10.1039/C9MO00117D
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References 2010; 33
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2019; 53
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2020; 11
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2018; 45
2017; 356
2016; 11
2014; 64
2018; 175
2018; 19
2021; 35
2018; 8
2021; 31
2019; 20
2020; 51
2021; 114
2013; 56
2007; 295
2020; 28
2019; 29
2020; 68
2014; 9
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2011; 29
2011; 121
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References_xml – volume: 29
  start-page: 488
  year: 2019
  end-page: 500.e2
  article-title: Profound perturbation of the metabolome in obesity is associated with health risk
  publication-title: Cell Metab
– volume: 51
  start-page: 102520
  year: 2020
  article-title: Lipidomic profiling identifies signatures of metabolic risk
  publication-title: EBioMedicine
– volume: 175
  start-page: 347
  year: 2018
  end-page: 359.e14
  article-title: Genomic analyses from non‐invasive prenatal testing reveal genetic associations, patterns of viral infections, and Chinese population history
  publication-title: Cell
– volume: 20
  start-page: 1149
  year: 2019
  article-title: An updated review of lysophosphatidylcholine metabolism in human diseases
  publication-title: Int J Mol Sci
– volume: 33
  start-page: 676
  year: 2010
  end-page: 682
  article-title: International association of diabetes and pregnancy study groups recommendations on the diagnosis and classification of hyperglycemia in pregnancy
  publication-title: Diabetes Care
– volume: 9
  year: 2014
  article-title: Alterations of plasma lysophosphatidylcholine species in obesity and weight loss
  publication-title: PLoS One
– volume: 53
  start-page: 12812
  year: 2019
  end-page: 12822
  article-title: DEHP and DINP induce tissue‐ and gender‐specific disturbances in fatty acid and lipidomic profiles in neonatal mice: a comparative study
  publication-title: Environ Sci Technol
– volume: 52
  start-page: 1234
  year: 2011
  end-page: 1246
  article-title: Lysophosphatidylcholine as an effector of fatty acid‐induced insulin resistance
  publication-title: J Lipid Res
– volume: 8
  start-page: 663
  year: 2018
  article-title: Missing value imputation approach for mass spectrometry‐based metabolomics data
  publication-title: Sci Rep
– volume: 356
  start-page: j1
  year: 2017
  article-title: Obesity and pregnancy: mechanisms of short term and long term adverse consequences for mother and child
  publication-title: BMJ
– volume: 41
  start-page: 159
  year: 2017
  end-page: 169
  article-title: Association of maternal prepregnancy BMI with metabolomic profile across gestation
  publication-title: Int J Obes (Lond)
– volume: 105
  year: 2020
  article-title: Circulating lysophosphatidylcholines in early pregnancy and risk of gestational diabetes in Chinese women
  publication-title: J Clin Endocrinol Metab
– volume: 15
  start-page: 420
  year: 2019
  end-page: 430
  article-title: Altered triglyceride and phospholipid metabolism predates the diagnosis of gestational diabetes in obese pregnancy
  publication-title: Mol Omics
– volume: 16
  start-page: 13442
  year: 2015
  end-page: 13473
  article-title: Inflammatory and other biomarkers: role in pathophysiology and prediction of gestational diabetes mellitus
  publication-title: Int J Mol Sci
– volume: 31
  start-page: 2122
  year: 2021
  end-page: 2130
  article-title: Distinct metabolite profiles of adiposity indices and their relationships with habitual diet in young adults
  publication-title: Nutr Metab Cardiovasc Dis
– volume: 38
  start-page: 587
  year: 2015
  end-page: 596
  article-title: A metabolomic approach to understanding the metabolic link between obesity and diabetes
  publication-title: Mol Cells
– volume: 68
  start-page: 11309
  year: 2020
  end-page: 11316
  article-title: Lipidomic changes in banana (Musa cavendish) during ripening and comparison of extraction by folch and bligh‐dyer methods
  publication-title: J Agric Food Chem
– volume: 44
  start-page: 307
  year: 2012
  end-page: 311
  article-title: Meta‐analysis identifies common variants associated with body mass index in east Asians
  publication-title: Nat Genet
– volume: 44
  start-page: 302
  year: 2012
  end-page: 306
  article-title: Common variants at CDKAL1 and KLF9 are associated with body mass index in east Asian populations
  publication-title: Nat Genet
– volume: 19
  start-page: 3342
  year: 2018
  article-title: The pathophysiology of gestational diabetes mellitus
  publication-title: Int J Mol Sci
– volume: 107
  start-page: e315
  year: 2022
  end-page: e327
  article-title: Maternal body mass index, early‐pregnancy metabolite profile and birthweight
  publication-title: J Clin Endocrinol Metab
– volume: 62
  start-page: 3163
  year: 2013
  end-page: 3169
  article-title: Relation between serum free fatty acids and adiposity, insulin resistance, and cardiovascular risk factors from adolescence to adulthood
  publication-title: Diabetes
– volume: 108
  start-page: 508
  year: 2015
  end-page: 513
  article-title: The influence of maternal BMI and gestational diabetes on pregnancy outcome
  publication-title: Diabetes Res Clin Pract
– volume: 11
  start-page: 611929
  year: 2020
  article-title: Nutrition and metabolic adaptations in physiological and complicated pregnancy: focus on obesity and gestational diabetes
  publication-title: Front Endocrinol (Lausanne)
– volume: 40
  start-page: 740
  year: 2011
  end-page: 752
  article-title: Power and instrument strength requirements for Mendelian randomization studies using multiple genetic variants
  publication-title: Int J Epidemiol
– volume: 28
  start-page: 187
  year: 2020
  end-page: 196
  article-title: Metabolomic profiles associated with bmi, waist circumference, and diabetes and inflammation biomarkers in women
  publication-title: Obesity (Silver Spring)
– volume: 114
  start-page: 1763
  year: 2021
  end-page: 1773
  article-title: Plasma lipidomics in early pregnancy and risk of gestational diabetes mellitus: a prospective nested case‐control study in Chinese women
  publication-title: Am J Clin Nutr
– volume: 185
  start-page: 87
  year: 2021
  end-page: 97
  article-title: Circulating fatty acids and risk of gestational diabetes mellitus: prospective analyses in China
  publication-title: Eur J Endocrinol
– volume: 121
  start-page: 1402
  year: 2011
  end-page: 1411
  article-title: Lipid profiling identifies a triacylglycerol signature of insulin resistance and improves diabetes prediction in humans
  publication-title: J Clin Invest
– volume: 28
  start-page: 112
  year: 2018
  end-page: 118
  article-title: Identification of serum metabolites associated with obesity and traditional risk factors for metabolic disease in Chinese adults
  publication-title: Nutr Metab Cardiovasc Dis
– volume: 29
  start-page: 415
  year: 2011
  end-page: 445
  article-title: Inflammatory mechanisms in obesity
  publication-title: Annu Rev Immunol
– volume: 104
  start-page: 266
  year: 2016
  end-page: 279
  article-title: Impairment of lysophospholipid metabolism in obesity: altered plasma profile and desensitization to the modulatory properties of n‐3 polyunsaturated fatty acids in a randomized controlled trial
  publication-title: Am J Clin Nutr
– volume: 295
  start-page: 113
  year: 2007
  end-page: 120
  article-title: Lysophosphatidylcholine induces inflammatory activation of human coronary artery smooth muscle cells
  publication-title: Mol Cell Biochem
– volume: 5
  start-page: 47
  year: 2019
  article-title: Gestational diabetes mellitus
  publication-title: Nat Rev Dis Primers
– volume: 36
  start-page: 709
  year: 2015
  end-page: 715
  article-title: Inflammation in maternal obesity and gestational diabetes mellitus
  publication-title: Placenta
– volume: 11
  year: 2016
  article-title: Association of metabolites with obesity and type 2 diabetes based on FTO genotype
  publication-title: PLoS One
– volume: 45
  start-page: 614
  year: 2018
  end-page: 624
  article-title: Cord blood lysophosphatidylcholine 16: 1 is positively associated with birth weight
  publication-title: Cell Physiol Biochem
– volume: 63
  start-page: 250
  year: 2014
  end-page: 262
  article-title: Effect of pre‐existing maternal obesity, gestational diabetes and adipokines on the expression of genes involved in lipid metabolism in adipose tissue
  publication-title: Metabolism
– volume: 35
  start-page: 130
  year: 2021
  end-page: 142
  article-title: Mendelian randomisation approaches to the study of prenatal exposures: a systematic review
  publication-title: Paediatr Perinat Epidemiol
– volume: 56
  start-page: 949
  year: 2013
  end-page: 964
  article-title: Insulin signalling mechanisms for triacylglycerol storage
  publication-title: Diabetologia
– volume: 64
  start-page: 294
  year: 2014
  end-page: 303
  article-title: Rapid growth and childhood obesity are strongly associated with lysoPC(14:0)
  publication-title: Ann Nutr Metab
– ident: e_1_2_11_4_1
  doi: 10.1016/j.diabres.2014.12.015
– ident: e_1_2_11_36_1
  doi: 10.1172/JCI44442
– ident: e_1_2_11_8_1
  doi: 10.1016/j.numecd.2021.03.025
– ident: e_1_2_11_31_1
  doi: 10.3390/ijms20051149
– ident: e_1_2_11_6_1
  doi: 10.1016/j.placenta.2015.04.006
– ident: e_1_2_11_15_1
  doi: 10.14348/molcells.2015.0126
– ident: e_1_2_11_2_1
  doi: 10.1136/bmj.j1
– ident: e_1_2_11_17_1
  doi: 10.1530/EJE-21-0118
– ident: e_1_2_11_43_1
  doi: 10.1194/jlr.M014787
– ident: e_1_2_11_38_1
  doi: 10.3389/fendo.2020.611929
– ident: e_1_2_11_13_1
  doi: 10.1210/clinem/dgab596
– ident: e_1_2_11_28_1
  doi: 10.1159/000487118
– ident: e_1_2_11_26_1
  doi: 10.1016/j.cell.2018.08.016
– ident: e_1_2_11_30_1
  doi: 10.1371/journal.pone.0111348
– ident: e_1_2_11_19_1
  doi: 10.1021/acs.est.9b04369
– ident: e_1_2_11_10_1
  doi: 10.1002/oby.22670
– ident: e_1_2_11_12_1
  doi: 10.1016/j.numecd.2017.09.009
– ident: e_1_2_11_16_1
  doi: 10.1016/j.cmet.2018.09.022
– ident: e_1_2_11_9_1
  doi: 10.1371/journal.pone.0156612
– ident: e_1_2_11_24_1
  doi: 10.1038/ng.1087
– ident: e_1_2_11_29_1
  doi: 10.1159/000365037
– ident: e_1_2_11_37_1
  doi: 10.1007/s00125-013-2869-1
– ident: e_1_2_11_42_1
  doi: 10.3390/ijms160613442
– ident: e_1_2_11_5_1
  doi: 10.3390/ijms19113342
– ident: e_1_2_11_27_1
– ident: e_1_2_11_33_1
  doi: 10.1111/ppe.12691
– ident: e_1_2_11_20_1
  doi: 10.1021/acs.jafc.0c04236
– ident: e_1_2_11_3_1
  doi: 10.1038/s41572‐019‐0098‐8
– ident: e_1_2_11_18_1
  doi: 10.1093/ajcn/nqab242
– ident: e_1_2_11_39_1
  doi: 10.1146/annurev-immunol-031210-101322
– ident: e_1_2_11_11_1
  doi: 10.1016/j.ebiom.2019.10.046
– ident: e_1_2_11_34_1
  doi: 10.1210/clinem/dgaa058
– ident: e_1_2_11_40_1
  doi: 10.3945/ajcn.116.130872
– ident: e_1_2_11_7_1
  doi: 10.1016/j.metabol.2013.10.001
– ident: e_1_2_11_32_1
  doi: 10.2337/db12-1122
– ident: e_1_2_11_25_1
  doi: 10.1093/ije/dyq151
– ident: e_1_2_11_21_1
  doi: 10.1038/s41598‐017‐19120‐0
– ident: e_1_2_11_14_1
  doi: 10.1038/ijo.2016.153
– ident: e_1_2_11_41_1
  doi: 10.1007/s11010-006-9280-x
– ident: e_1_2_11_23_1
  doi: 10.1038/ng.1086
– ident: e_1_2_11_22_1
  doi: 10.2337/dc10-0719
– ident: e_1_2_11_35_1
  doi: 10.1039/C9MO00117D
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Snippet Objective The study aimed to identify BMI‐related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). Methods Plasma...
Abstract Objective The study aimed to identify BMI‐related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM)....
Objective: The study aimed to identify BMI-related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). Methods:...
OBJECTIVEThe study aimed to identify BMI-related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). METHODSPlasma...
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SubjectTerms Biomarkers
Body mass index
Disease
Genomes
Gestational diabetes
Glucose
Health risk assessment
Lipids
Metabolism
Metabolites
Obesity
Plasma
Pregnancy
Questionnaires
Values
Womens health
Title BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women
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Volume 30
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