gdf-15 levels Search Results


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R&D Systems human gdf 15
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Mitokine Biosciences mitokine gdf15
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R&D Systems gdf15 growth differentiation factor 15 levels
The effects of ID8 implantation on muscle mass, fat mass, spleen mass, <t>GDF15</t> and gene expression of inflammation and atrogenes. Analysis of muscle mass at all time points in hindlimb muscles was completed (A, n = 22–24; soleus (SOL), extensor digitorum longus (EDL), plantaris (PLA), tibialis anterior (TA), gastrocnemius (GA) and quadriceps (QUAD)). Subcutaneous adipose mass in the inguinal fat depot (B, n = 9–12), serum GDF15 (C, n = 8–11) and spleen mass (D, n = 21–22) were also analyzed. mRNA content of inflammatory and atrophy markers interleukin-6 (IL-6), tumour necrosis factor – alpha (TNF-α), atrogin and muscle RING-finger protein-1 (MURF-1) were measured using quantitative PCR in the TA and diaphragm of all groups (E-H, n = 6–8). Results represent mean ± SD. Lettering denotes statistical significance when different from each other ( p < 0.05). C57BL/6J female mice ∼75 days post PBS injection as controls (CTRL); C57BL/6J female mice ∼45 days post ovarian cancer injection (45 Days); C57BL/6J female mice ∼75 days post ovarian cancer injection (75 Days); C57BL/6J female mice ∼90 days post ovarian cancer injection (90 Days). All data was analyzed using a one-way ANOVA or Kruskal–Wallis test when data did not fit normality. All ANOVAs were followed by a two-stage step-up method of Benjamini, Krieger and Yukutieli multiple comparisons test.
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R&D Systems hgdf15 levels
The effects of ID8 implantation on muscle mass, fat mass, spleen mass, <t>GDF15</t> and gene expression of inflammation and atrogenes. Analysis of muscle mass at all time points in hindlimb muscles was completed (A, n = 22–24; soleus (SOL), extensor digitorum longus (EDL), plantaris (PLA), tibialis anterior (TA), gastrocnemius (GA) and quadriceps (QUAD)). Subcutaneous adipose mass in the inguinal fat depot (B, n = 9–12), serum GDF15 (C, n = 8–11) and spleen mass (D, n = 21–22) were also analyzed. mRNA content of inflammatory and atrophy markers interleukin-6 (IL-6), tumour necrosis factor – alpha (TNF-α), atrogin and muscle RING-finger protein-1 (MURF-1) were measured using quantitative PCR in the TA and diaphragm of all groups (E-H, n = 6–8). Results represent mean ± SD. Lettering denotes statistical significance when different from each other ( p < 0.05). C57BL/6J female mice ∼75 days post PBS injection as controls (CTRL); C57BL/6J female mice ∼45 days post ovarian cancer injection (45 Days); C57BL/6J female mice ∼75 days post ovarian cancer injection (75 Days); C57BL/6J female mice ∼90 days post ovarian cancer injection (90 Days). All data was analyzed using a one-way ANOVA or Kruskal–Wallis test when data did not fit normality. All ANOVAs were followed by a two-stage step-up method of Benjamini, Krieger and Yukutieli multiple comparisons test.
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R&D Systems gdf 15
The effects of ID8 implantation on muscle mass, fat mass, spleen mass, <t>GDF15</t> and gene expression of inflammation and atrogenes. Analysis of muscle mass at all time points in hindlimb muscles was completed (A, n = 22–24; soleus (SOL), extensor digitorum longus (EDL), plantaris (PLA), tibialis anterior (TA), gastrocnemius (GA) and quadriceps (QUAD)). Subcutaneous adipose mass in the inguinal fat depot (B, n = 9–12), serum GDF15 (C, n = 8–11) and spleen mass (D, n = 21–22) were also analyzed. mRNA content of inflammatory and atrophy markers interleukin-6 (IL-6), tumour necrosis factor – alpha (TNF-α), atrogin and muscle RING-finger protein-1 (MURF-1) were measured using quantitative PCR in the TA and diaphragm of all groups (E-H, n = 6–8). Results represent mean ± SD. Lettering denotes statistical significance when different from each other ( p < 0.05). C57BL/6J female mice ∼75 days post PBS injection as controls (CTRL); C57BL/6J female mice ∼45 days post ovarian cancer injection (45 Days); C57BL/6J female mice ∼75 days post ovarian cancer injection (75 Days); C57BL/6J female mice ∼90 days post ovarian cancer injection (90 Days). All data was analyzed using a one-way ANOVA or Kruskal–Wallis test when data did not fit normality. All ANOVAs were followed by a two-stage step-up method of Benjamini, Krieger and Yukutieli multiple comparisons test.
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Cusabio serum gdf 15 levels
The effects of ID8 implantation on muscle mass, fat mass, spleen mass, <t>GDF15</t> and gene expression of inflammation and atrogenes. Analysis of muscle mass at all time points in hindlimb muscles was completed (A, n = 22–24; soleus (SOL), extensor digitorum longus (EDL), plantaris (PLA), tibialis anterior (TA), gastrocnemius (GA) and quadriceps (QUAD)). Subcutaneous adipose mass in the inguinal fat depot (B, n = 9–12), serum GDF15 (C, n = 8–11) and spleen mass (D, n = 21–22) were also analyzed. mRNA content of inflammatory and atrophy markers interleukin-6 (IL-6), tumour necrosis factor – alpha (TNF-α), atrogin and muscle RING-finger protein-1 (MURF-1) were measured using quantitative PCR in the TA and diaphragm of all groups (E-H, n = 6–8). Results represent mean ± SD. Lettering denotes statistical significance when different from each other ( p < 0.05). C57BL/6J female mice ∼75 days post PBS injection as controls (CTRL); C57BL/6J female mice ∼45 days post ovarian cancer injection (45 Days); C57BL/6J female mice ∼75 days post ovarian cancer injection (75 Days); C57BL/6J female mice ∼90 days post ovarian cancer injection (90 Days). All data was analyzed using a one-way ANOVA or Kruskal–Wallis test when data did not fit normality. All ANOVAs were followed by a two-stage step-up method of Benjamini, Krieger and Yukutieli multiple comparisons test.
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R&D Systems human gdf15 plasma levels
The effects of ID8 implantation on muscle mass, fat mass, spleen mass, <t>GDF15</t> and gene expression of inflammation and atrogenes. Analysis of muscle mass at all time points in hindlimb muscles was completed (A, n = 22–24; soleus (SOL), extensor digitorum longus (EDL), plantaris (PLA), tibialis anterior (TA), gastrocnemius (GA) and quadriceps (QUAD)). Subcutaneous adipose mass in the inguinal fat depot (B, n = 9–12), serum GDF15 (C, n = 8–11) and spleen mass (D, n = 21–22) were also analyzed. mRNA content of inflammatory and atrophy markers interleukin-6 (IL-6), tumour necrosis factor – alpha (TNF-α), atrogin and muscle RING-finger protein-1 (MURF-1) were measured using quantitative PCR in the TA and diaphragm of all groups (E-H, n = 6–8). Results represent mean ± SD. Lettering denotes statistical significance when different from each other ( p < 0.05). C57BL/6J female mice ∼75 days post PBS injection as controls (CTRL); C57BL/6J female mice ∼45 days post ovarian cancer injection (45 Days); C57BL/6J female mice ∼75 days post ovarian cancer injection (75 Days); C57BL/6J female mice ∼90 days post ovarian cancer injection (90 Days). All data was analyzed using a one-way ANOVA or Kruskal–Wallis test when data did not fit normality. All ANOVAs were followed by a two-stage step-up method of Benjamini, Krieger and Yukutieli multiple comparisons test.
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DSMZ gdf-15 protein levels
The effects of ID8 implantation on muscle mass, fat mass, spleen mass, <t>GDF15</t> and gene expression of inflammation and atrogenes. Analysis of muscle mass at all time points in hindlimb muscles was completed (A, n = 22–24; soleus (SOL), extensor digitorum longus (EDL), plantaris (PLA), tibialis anterior (TA), gastrocnemius (GA) and quadriceps (QUAD)). Subcutaneous adipose mass in the inguinal fat depot (B, n = 9–12), serum GDF15 (C, n = 8–11) and spleen mass (D, n = 21–22) were also analyzed. mRNA content of inflammatory and atrophy markers interleukin-6 (IL-6), tumour necrosis factor – alpha (TNF-α), atrogin and muscle RING-finger protein-1 (MURF-1) were measured using quantitative PCR in the TA and diaphragm of all groups (E-H, n = 6–8). Results represent mean ± SD. Lettering denotes statistical significance when different from each other ( p < 0.05). C57BL/6J female mice ∼75 days post PBS injection as controls (CTRL); C57BL/6J female mice ∼45 days post ovarian cancer injection (45 Days); C57BL/6J female mice ∼75 days post ovarian cancer injection (75 Days); C57BL/6J female mice ∼90 days post ovarian cancer injection (90 Days). All data was analyzed using a one-way ANOVA or Kruskal–Wallis test when data did not fit normality. All ANOVAs were followed by a two-stage step-up method of Benjamini, Krieger and Yukutieli multiple comparisons test.
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Roche gdf15 levels
A: Dot and box plots illustrating the distribution of circulating <t>GDF15</t> levels in women of ~15 weeks’ gestation with a history of vomiting in pregnancy vs those reporting no nausea and vomiting in pregnancy. P-value is from an unadjusted linear regression model using natural-log transformed GDF15 concentrations. B: Dot and box plots illustrating the distribution of GDF15 levels (Mean gestational age ~ 10 weeks) in women presenting with hyperemesis gravidarum (HG) and those with low levels of nausea and vomiting in pregnancy. P-value is from an unadjusted linear regression model using natural-log transformed GDF15 concentrations. C: Scatter plot illustrating the relationship between gestational age and GDF15 in the first trimester. The trend lines show predicted values of GDF15 levels (+/− 95% CI) in women with and without HG from a linear regression model of natural-log transformed GDF15 with gestational age and HG status included as predictor variables. The P-values are derived from the same regression model for the effect of HG (HG vs Con) and gestational age (Gest. Age). 5 participants (HG = 1, Control = 4) included in the analysis in panel (B) are not plotted or included in this model as they were recruited after the first trimester.
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Elabscience Biotechnology human gdf-15 elisa kit
A: Dot and box plots illustrating the distribution of circulating <t>GDF15</t> levels in women of ~15 weeks’ gestation with a history of vomiting in pregnancy vs those reporting no nausea and vomiting in pregnancy. P-value is from an unadjusted linear regression model using natural-log transformed GDF15 concentrations. B: Dot and box plots illustrating the distribution of GDF15 levels (Mean gestational age ~ 10 weeks) in women presenting with hyperemesis gravidarum (HG) and those with low levels of nausea and vomiting in pregnancy. P-value is from an unadjusted linear regression model using natural-log transformed GDF15 concentrations. C: Scatter plot illustrating the relationship between gestational age and GDF15 in the first trimester. The trend lines show predicted values of GDF15 levels (+/− 95% CI) in women with and without HG from a linear regression model of natural-log transformed GDF15 with gestational age and HG status included as predictor variables. The P-values are derived from the same regression model for the effect of HG (HG vs Con) and gestational age (Gest. Age). 5 participants (HG = 1, Control = 4) included in the analysis in panel (B) are not plotted or included in this model as they were recruited after the first trimester.
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Sugen Inc sugen/hypoxia
A: Dot and box plots illustrating the distribution of circulating <t>GDF15</t> levels in women of ~15 weeks’ gestation with a history of vomiting in pregnancy vs those reporting no nausea and vomiting in pregnancy. P-value is from an unadjusted linear regression model using natural-log transformed GDF15 concentrations. B: Dot and box plots illustrating the distribution of GDF15 levels (Mean gestational age ~ 10 weeks) in women presenting with hyperemesis gravidarum (HG) and those with low levels of nausea and vomiting in pregnancy. P-value is from an unadjusted linear regression model using natural-log transformed GDF15 concentrations. C: Scatter plot illustrating the relationship between gestational age and GDF15 in the first trimester. The trend lines show predicted values of GDF15 levels (+/− 95% CI) in women with and without HG from a linear regression model of natural-log transformed GDF15 with gestational age and HG status included as predictor variables. The P-values are derived from the same regression model for the effect of HG (HG vs Con) and gestational age (Gest. Age). 5 participants (HG = 1, Control = 4) included in the analysis in panel (B) are not plotted or included in this model as they were recruited after the first trimester.
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DiaSorin Biotechnology gdf15 levels
A: Dot and box plots illustrating the distribution of circulating <t>GDF15</t> levels in women of ~15 weeks’ gestation with a history of vomiting in pregnancy vs those reporting no nausea and vomiting in pregnancy. P-value is from an unadjusted linear regression model using natural-log transformed GDF15 concentrations. B: Dot and box plots illustrating the distribution of GDF15 levels (Mean gestational age ~ 10 weeks) in women presenting with hyperemesis gravidarum (HG) and those with low levels of nausea and vomiting in pregnancy. P-value is from an unadjusted linear regression model using natural-log transformed GDF15 concentrations. C: Scatter plot illustrating the relationship between gestational age and GDF15 in the first trimester. The trend lines show predicted values of GDF15 levels (+/− 95% CI) in women with and without HG from a linear regression model of natural-log transformed GDF15 with gestational age and HG status included as predictor variables. The P-values are derived from the same regression model for the effect of HG (HG vs Con) and gestational age (Gest. Age). 5 participants (HG = 1, Control = 4) included in the analysis in panel (B) are not plotted or included in this model as they were recruited after the first trimester.
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Image Search Results


The effects of ID8 implantation on muscle mass, fat mass, spleen mass, GDF15 and gene expression of inflammation and atrogenes. Analysis of muscle mass at all time points in hindlimb muscles was completed (A, n = 22–24; soleus (SOL), extensor digitorum longus (EDL), plantaris (PLA), tibialis anterior (TA), gastrocnemius (GA) and quadriceps (QUAD)). Subcutaneous adipose mass in the inguinal fat depot (B, n = 9–12), serum GDF15 (C, n = 8–11) and spleen mass (D, n = 21–22) were also analyzed. mRNA content of inflammatory and atrophy markers interleukin-6 (IL-6), tumour necrosis factor – alpha (TNF-α), atrogin and muscle RING-finger protein-1 (MURF-1) were measured using quantitative PCR in the TA and diaphragm of all groups (E-H, n = 6–8). Results represent mean ± SD. Lettering denotes statistical significance when different from each other ( p < 0.05). C57BL/6J female mice ∼75 days post PBS injection as controls (CTRL); C57BL/6J female mice ∼45 days post ovarian cancer injection (45 Days); C57BL/6J female mice ∼75 days post ovarian cancer injection (75 Days); C57BL/6J female mice ∼90 days post ovarian cancer injection (90 Days). All data was analyzed using a one-way ANOVA or Kruskal–Wallis test when data did not fit normality. All ANOVAs were followed by a two-stage step-up method of Benjamini, Krieger and Yukutieli multiple comparisons test.

Journal: Molecular Metabolism

Article Title: Muscle weakness and mitochondrial stress occur before severe metastasis in a novel mouse model of ovarian cancer cachexia

doi: 10.1016/j.molmet.2024.101976

Figure Lengend Snippet: The effects of ID8 implantation on muscle mass, fat mass, spleen mass, GDF15 and gene expression of inflammation and atrogenes. Analysis of muscle mass at all time points in hindlimb muscles was completed (A, n = 22–24; soleus (SOL), extensor digitorum longus (EDL), plantaris (PLA), tibialis anterior (TA), gastrocnemius (GA) and quadriceps (QUAD)). Subcutaneous adipose mass in the inguinal fat depot (B, n = 9–12), serum GDF15 (C, n = 8–11) and spleen mass (D, n = 21–22) were also analyzed. mRNA content of inflammatory and atrophy markers interleukin-6 (IL-6), tumour necrosis factor – alpha (TNF-α), atrogin and muscle RING-finger protein-1 (MURF-1) were measured using quantitative PCR in the TA and diaphragm of all groups (E-H, n = 6–8). Results represent mean ± SD. Lettering denotes statistical significance when different from each other ( p < 0.05). C57BL/6J female mice ∼75 days post PBS injection as controls (CTRL); C57BL/6J female mice ∼45 days post ovarian cancer injection (45 Days); C57BL/6J female mice ∼75 days post ovarian cancer injection (75 Days); C57BL/6J female mice ∼90 days post ovarian cancer injection (90 Days). All data was analyzed using a one-way ANOVA or Kruskal–Wallis test when data did not fit normality. All ANOVAs were followed by a two-stage step-up method of Benjamini, Krieger and Yukutieli multiple comparisons test.

Article Snippet: GDF15 (Growth differentiation factor 15) levels were analyzed in serum using the mouse GDF-15 DuoSet ELISA kit according to the manufacturer's instructions (R&D Systems DY6385).

Techniques: Expressing, Muscles, Real-time Polymerase Chain Reaction, Injection

A: Dot and box plots illustrating the distribution of circulating GDF15 levels in women of ~15 weeks’ gestation with a history of vomiting in pregnancy vs those reporting no nausea and vomiting in pregnancy. P-value is from an unadjusted linear regression model using natural-log transformed GDF15 concentrations. B: Dot and box plots illustrating the distribution of GDF15 levels (Mean gestational age ~ 10 weeks) in women presenting with hyperemesis gravidarum (HG) and those with low levels of nausea and vomiting in pregnancy. P-value is from an unadjusted linear regression model using natural-log transformed GDF15 concentrations. C: Scatter plot illustrating the relationship between gestational age and GDF15 in the first trimester. The trend lines show predicted values of GDF15 levels (+/− 95% CI) in women with and without HG from a linear regression model of natural-log transformed GDF15 with gestational age and HG status included as predictor variables. The P-values are derived from the same regression model for the effect of HG (HG vs Con) and gestational age (Gest. Age). 5 participants (HG = 1, Control = 4) included in the analysis in panel (B) are not plotted or included in this model as they were recruited after the first trimester.

Journal: bioRxiv

Article Title: Fetally-encoded GDF15 and maternal GDF15 sensitivity are major determinants of nausea and vomiting in human pregnancy

doi: 10.1101/2023.06.02.542661

Figure Lengend Snippet: A: Dot and box plots illustrating the distribution of circulating GDF15 levels in women of ~15 weeks’ gestation with a history of vomiting in pregnancy vs those reporting no nausea and vomiting in pregnancy. P-value is from an unadjusted linear regression model using natural-log transformed GDF15 concentrations. B: Dot and box plots illustrating the distribution of GDF15 levels (Mean gestational age ~ 10 weeks) in women presenting with hyperemesis gravidarum (HG) and those with low levels of nausea and vomiting in pregnancy. P-value is from an unadjusted linear regression model using natural-log transformed GDF15 concentrations. C: Scatter plot illustrating the relationship between gestational age and GDF15 in the first trimester. The trend lines show predicted values of GDF15 levels (+/− 95% CI) in women with and without HG from a linear regression model of natural-log transformed GDF15 with gestational age and HG status included as predictor variables. The P-values are derived from the same regression model for the effect of HG (HG vs Con) and gestational age (Gest. Age). 5 participants (HG = 1, Control = 4) included in the analysis in panel (B) are not plotted or included in this model as they were recruited after the first trimester.

Article Snippet: To perform Mendelian Randomization between circulating GDF15 levels with HG risk, we harmonized Roche-based GDF15 pQTL, GWAS, and LD reference panels to obtain valid estimates.

Techniques: Transformation Assay, Derivative Assay, Control

A : Schema of experimental design. The GDF15 dimer for maternal and fetal GDF15 is extracted and then digested with the endopeptidase GluC, cutting the N-terminal region into two distinct peptides with glutamic acid C-termini. The stoichiometry of the H and D peptides can then be monitored using LC-MS/MS to determine the relative levels of maternal or fetal derived GDF15 in the maternal circulation. B : Representative LC-MS retention time of H and D peptides from maternal plasma where the mother is heterozygous at H202D and the fetus is homozygous for the H or D allele as indicated. C-E: Scatter plots of the relative quantitation of H peptide vs the D peptide in plasma from pregnancies with the indicated genotypes. The dashed coloured lines in (C-E) indicate the expected relationships between the H and D peptides for the given circulatory origins of GDF15. C: N=20 samples from 5 pregnancies, D : N=8 samples from 2 pregnancies, E : N = 47 samples from 12 pregnancies.

Journal: bioRxiv

Article Title: Fetally-encoded GDF15 and maternal GDF15 sensitivity are major determinants of nausea and vomiting in human pregnancy

doi: 10.1101/2023.06.02.542661

Figure Lengend Snippet: A : Schema of experimental design. The GDF15 dimer for maternal and fetal GDF15 is extracted and then digested with the endopeptidase GluC, cutting the N-terminal region into two distinct peptides with glutamic acid C-termini. The stoichiometry of the H and D peptides can then be monitored using LC-MS/MS to determine the relative levels of maternal or fetal derived GDF15 in the maternal circulation. B : Representative LC-MS retention time of H and D peptides from maternal plasma where the mother is heterozygous at H202D and the fetus is homozygous for the H or D allele as indicated. C-E: Scatter plots of the relative quantitation of H peptide vs the D peptide in plasma from pregnancies with the indicated genotypes. The dashed coloured lines in (C-E) indicate the expected relationships between the H and D peptides for the given circulatory origins of GDF15. C: N=20 samples from 5 pregnancies, D : N=8 samples from 2 pregnancies, E : N = 47 samples from 12 pregnancies.

Article Snippet: To perform Mendelian Randomization between circulating GDF15 levels with HG risk, we harmonized Roche-based GDF15 pQTL, GWAS, and LD reference panels to obtain valid estimates.

Techniques: Liquid Chromatography with Mass Spectroscopy, Derivative Assay, Quantitation Assay

A: We studied the secretion of a rare hyperemesis gravidarum risk variant GDF15 C211G. C211G impairs the secretion of GDF15 as determined by western blotting of cell culture medium of cells expressing Flag-tagged wild-type GDF15 (WT-Flag) or GDF15 C211G (C211G-Flag). B: GDF15 C211G impairs the secretion of wild-type GDF15 in a dominant negative manner as co-expression of the mutant inhibited secretion of wild-type GDF15 from 293T cells co-transfected with different amounts (shown in nanograms) of wild-type WT-Flag and Myc-tagged GDF15 C211G (C211G-Myc), as indicated. For A and B representative images from 3 independent experiments are presented. EV represents transfection with the empty plasmid backbone. C: Dot and box plots showing GDF15 levels measured using the Ansh Total GDF15 assay in carriers of GDF15 C211G variant (N=10) identified in an exome-sequencing study of a Croatian population and age and sex matched controls (N=60) derived from the same study. The P-value is from a linear regression model of natural log transformed GDF15 ~ C211G status. D: Forest plot illustrating the effect (standardised betas) of previously described HG risk SNPS on circulating GDF15 measured in 18,184 participants in the Generation Scotland Study. The effect estimates for the rs1054221 variant presented are from an analysis conditioned on the the lead HG variant rs45543339. The beta estimates for GDF15 represent the effect of the HG risk allele on circulating GDF15 in standard deviations. The beta estimates for HG (Hyperemesis Gravidarum) represent the effect of the SNP on risk of HG in log-odds. E: Scatterplot of HG GWAS effect estimates (ie log-odds) vs Roche-based GDF15 pQTL effect estimates derived from cis-Mendelian randomization at the GDF15 locus. MR was performed using m=259 SNPs with genome-wide evidence of pQTL effects on GDF15 levels within 1Mb GDF15 locus and adjusted using LD estimates from UK Biobank WGS individuals (n=138335; see ). Causal effect estimates obtained using LD-aware MR and reflected as regression lines.

Journal: bioRxiv

Article Title: Fetally-encoded GDF15 and maternal GDF15 sensitivity are major determinants of nausea and vomiting in human pregnancy

doi: 10.1101/2023.06.02.542661

Figure Lengend Snippet: A: We studied the secretion of a rare hyperemesis gravidarum risk variant GDF15 C211G. C211G impairs the secretion of GDF15 as determined by western blotting of cell culture medium of cells expressing Flag-tagged wild-type GDF15 (WT-Flag) or GDF15 C211G (C211G-Flag). B: GDF15 C211G impairs the secretion of wild-type GDF15 in a dominant negative manner as co-expression of the mutant inhibited secretion of wild-type GDF15 from 293T cells co-transfected with different amounts (shown in nanograms) of wild-type WT-Flag and Myc-tagged GDF15 C211G (C211G-Myc), as indicated. For A and B representative images from 3 independent experiments are presented. EV represents transfection with the empty plasmid backbone. C: Dot and box plots showing GDF15 levels measured using the Ansh Total GDF15 assay in carriers of GDF15 C211G variant (N=10) identified in an exome-sequencing study of a Croatian population and age and sex matched controls (N=60) derived from the same study. The P-value is from a linear regression model of natural log transformed GDF15 ~ C211G status. D: Forest plot illustrating the effect (standardised betas) of previously described HG risk SNPS on circulating GDF15 measured in 18,184 participants in the Generation Scotland Study. The effect estimates for the rs1054221 variant presented are from an analysis conditioned on the the lead HG variant rs45543339. The beta estimates for GDF15 represent the effect of the HG risk allele on circulating GDF15 in standard deviations. The beta estimates for HG (Hyperemesis Gravidarum) represent the effect of the SNP on risk of HG in log-odds. E: Scatterplot of HG GWAS effect estimates (ie log-odds) vs Roche-based GDF15 pQTL effect estimates derived from cis-Mendelian randomization at the GDF15 locus. MR was performed using m=259 SNPs with genome-wide evidence of pQTL effects on GDF15 levels within 1Mb GDF15 locus and adjusted using LD estimates from UK Biobank WGS individuals (n=138335; see ). Causal effect estimates obtained using LD-aware MR and reflected as regression lines.

Article Snippet: To perform Mendelian Randomization between circulating GDF15 levels with HG risk, we harmonized Roche-based GDF15 pQTL, GWAS, and LD reference panels to obtain valid estimates.

Techniques: Variant Assay, Western Blot, Cell Culture, Expressing, Dominant Negative Mutation, Mutagenesis, Transfection, Plasmid Preparation, Sequencing, Derivative Assay, Transformation Assay, Genome Wide

A : Schema of the experimental paradigm. Single housed, adult male and female C57Bl/6J mice were injected with 0.01mg/kg of Fc-GDF15–15 fusion protein (Fc_GDF15) or vehicle control (PBS). Food intake was measured overnight (from 5pm to 9am) before (black bar) and after treatment (red bar) with standard, short acting human recombinant GDF-15 (hrGDF15 0.1mg/kg). Body weight was measured at the same timepoints. B : Food intake recorded overnight (5pm-9am) the day before (black dots) and after an acute bolus of hrGDF15 (red dots) in mice with and without pre-treatment with Fc_GDF15. C: Body weight at 9am the day before (black dots) and 9 am the day after (red dots) an acute bolus of hrGDF15 in mice with and without pre-treatment with Fc_GDF15. N=17 (12 male, 5 female) in Control and 19 in FC_GDF15 group (13 male, 6 female). Data were analysed using mixed-effect analysis, post-hoc testing comparing before and after acute GDF-15 treatment was undertaken with the Sidak test to correct for multiple testing. *P<0.05, ***P<0.001, ****P<0.0001, ns = non-significant, P>0.05.

Journal: bioRxiv

Article Title: Fetally-encoded GDF15 and maternal GDF15 sensitivity are major determinants of nausea and vomiting in human pregnancy

doi: 10.1101/2023.06.02.542661

Figure Lengend Snippet: A : Schema of the experimental paradigm. Single housed, adult male and female C57Bl/6J mice were injected with 0.01mg/kg of Fc-GDF15–15 fusion protein (Fc_GDF15) or vehicle control (PBS). Food intake was measured overnight (from 5pm to 9am) before (black bar) and after treatment (red bar) with standard, short acting human recombinant GDF-15 (hrGDF15 0.1mg/kg). Body weight was measured at the same timepoints. B : Food intake recorded overnight (5pm-9am) the day before (black dots) and after an acute bolus of hrGDF15 (red dots) in mice with and without pre-treatment with Fc_GDF15. C: Body weight at 9am the day before (black dots) and 9 am the day after (red dots) an acute bolus of hrGDF15 in mice with and without pre-treatment with Fc_GDF15. N=17 (12 male, 5 female) in Control and 19 in FC_GDF15 group (13 male, 6 female). Data were analysed using mixed-effect analysis, post-hoc testing comparing before and after acute GDF-15 treatment was undertaken with the Sidak test to correct for multiple testing. *P<0.05, ***P<0.001, ****P<0.0001, ns = non-significant, P>0.05.

Article Snippet: To perform Mendelian Randomization between circulating GDF15 levels with HG risk, we harmonized Roche-based GDF15 pQTL, GWAS, and LD reference panels to obtain valid estimates.

Techniques: Injection, Control, Recombinant