Personalized prediction of glycemic responses to food in women with diet-treated gestational diabetes: the role of the gut microbiota
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Study information
-
Quality control
- Retracted paper
- Contamination issues suspected
- Batch effect issues suspected
- Uncontrolled confounding suspected
- Results are suspect (various reasons)
- Tags applied
study design
Citation
PMID PubMed identifier for scientific articles.
DOI Digital object identifier for electronic documents.
URI
Authors
Popova PV, Isakov AO, Rusanova AN, Sitkin SI, Anopova AD, Vasukova EA, Tkachuk AS, Nemikina IS, Stepanova EA, Eriskovskaya AI, Stepanova EA, Pustozerov EA, Kokina MA, Vasilieva EY, Vasilyeva LB, Zgairy S, Rubin E, Even C, Turjeman S, Pervunina TM, Grineva EN, Koren O, Shlyakhto EV
Journal
NPJ biofilms and microbiomes
Year
2025
We developed a prediction model for postprandial glycemic response (PPGR) in pregnant women, including those with diet-treated gestational diabetes mellitus (GDM) and healthy women, and explored the role of gut microbiota in improving prediction accuracy. The study involved 105 pregnant women (77 with GDM, 28 healthy), who underwent continuous glucose monitoring (CGM) for 7 days, provided food diaries, and gave stool samples for microbiome analysis. Machine learning models were created using CGM data, meal content, lifestyle factors, biochemical parameters, and microbiota data (16S rRNA gene sequence analysis). Adding microbiome data increased the explained variance in peak glycemic levels (GLUmax) from 34 to 42% and in incremental area under the glycemic curve (iAUC120) from 50 to 52%. The final model showed better correlation with measured PPGRs than one based only on carbohydrate count (r = 0.72 vs. r = 0.51 for iAUC120). Although microbiome features were important, their contribution to model performance was modest.
Experiment 1
Reviewed Marked as Reviewed by Folakunmi on 2025-3-17
Subjects
- Location of subjects
- Russian Federation
- Host species Species from which microbiome was sampled. Contact us to have more species added.
- Homo sapiens
- Body site Anatomical site where microbial samples were extracted from according to the Uber Anatomy Ontology
- Feces Cow dung,Cow pat,Droppings,Dung,Excrement,Excreta,Faeces,Fecal material,Fecal matter,Fewmet,Frass,Guano,Matières fécales@fr,Merde@fr,Ordure,Partie de la merde@fr,Piece of shit,Porción de mierda@es,Portion of dung,Portion of excrement,Portion of faeces,Portion of fecal material,Portion of fecal matter,Portion of feces,Portion of guano,Portion of scat,Portionem cacas,Scat,Spoor,Spraint,Stool,Teil der fäkalien@de,Feces,feces
- Condition The experimental condition / phenotype studied according to the Experimental Factor Ontology
- Gestational diabetes diabetes in pregnancy,GDM,gestational diabetes,gestational diabetes mellitus,maternal gestational diabetes mellitus,Gestational diabetes
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Pregnant women with lower postprandial glycemic response (PPGR) incremental area under the glycemic curve(iAUC120)
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Pregnant women with higher postprandial glycemic response (PPGR) incremental area under the glycemic curve(iAUC120)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Pregnant women with higher postprandial glycemic response (PPGR) incremental area under the glycemic curve (iAUC120) (equal to or above median indices) at 120 minutes after meal.
- Antibiotics exclusion Number of days without antibiotics usage (if applicable) and other antibiotics-related criteria used to exclude participants (if any)
- 2 months
Lab analysis
- Sequencing type
- 16S
- 16S variable region One or more hypervariable region(s) of the bacterial 16S gene
- V4
- Sequencing platform Manufacturer and experimental platform used for quantifying microbial abundance
- Illumina
Statistical Analysis
- Data transformation Data transformation applied to microbial abundance measurements prior to differential abundance testing (if any).
- relative abundances
- Statistical test
- LEfSe
- Significance threshold p-value or FDR threshold used for differential abundance testing (if any)
- 0.05
- MHT correction Have statistical tests be corrected for multiple hypothesis testing (MHT)?
- No
- LDA Score above Threshold for the linear discriminant analysis (LDA) score for studies using the popular LEfSe tool
- 2
Signature 1
Reviewed Marked as Reviewed by Folakunmi on 2025-3-17
Source: Figure 2
Description: Results of LefSe analysis comparing relative abundance (RA) of microbial features of participants with PPGR (iAUC120) below and above median.
Abundance in Group 1: increased abundance in Pregnant women with higher postprandial glycemic response (PPGR) incremental area under the glycemic curve(iAUC120)
Revision editor(s): Tosin
Signature 2
Reviewed Marked as Reviewed by Folakunmi on 2025-3-17
Source: Figure 2
Description: Results of LefSe analysis comparing relative abundance (RA) of microbial features of participants with PPGR (iAUC120) below and above median.
Abundance in Group 1: decreased abundance in Pregnant women with higher postprandial glycemic response (PPGR) incremental area under the glycemic curve(iAUC120)
Revision editor(s): Tosin
Experiment 2
Reviewed Marked as Reviewed by Folakunmi on 2025-3-17
Differences from previous experiment shown
Subjects
- Group 0 name Corresponds to the control (unexposed) group for case-control studies
- Pregnant women with lower peak glycemic levels (GLUmax)
- Group 1 name Corresponds to the case (exposed) group for case-control studies
- Pregnant women with higher peak glycemic levels (GLUmax)
- Group 1 definition Diagnostic criteria applied to define the specific condition / phenotype represented in the case (exposed) group
- Pregnant women with higher peak glucose levels equal to or above median
Lab analysis
Statistical Analysis
Signature 1
Reviewed Marked as Reviewed by Folakunmi on 2025-3-17
Source: Figure 3
Description: Results of LefSe analysis comparing relative abundance (RA) of microbial features of participants with GLUmax below and above median.
Abundance in Group 1: increased abundance in Pregnant women with higher peak glycemic levels (GLUmax)
| NCBI | Quality Control | Links |
|---|---|---|
| Clostridia UCG-014Clostridia UCG-014 | ||
| Oscillospiraceae | ||
| Eubacterium coprostanoligenes | ||
| Prevotellaceae | ||
| RF39RF39 | ||
| Lachnoclostridium | ||
| Family XIII AD3011 groupFamily XIII AD3011 group |
Revision editor(s): Tosin
Signature 2
Reviewed Marked as Reviewed by Folakunmi on 2025-3-17
Source: Figure 3
Description: Results of LefSe analysis comparing relative abundance (RA) of microbial features of participants with GLUmax below and above median.
Abundance in Group 1: decreased abundance in Pregnant women with higher peak glycemic levels (GLUmax)
Revision editor(s): Tosin
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