Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Microbial Features in Pregnant Women with Hypothyroidism

ABSTRACT: Microbial Features in Pregnant Women with Hypothyroidism

PROVIDER: PRJEB38373 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Project description:Microbial Features in Pregnant Women with Hypothyroidism

| PRJNA632984 | ENA

Circulating RNA transcriptome of pregnant women with TSH just above the trimester-specific reference and its correlation with the hypertensive phenotype

Project description:These libraries are part of a large study to evaluate the impact of thyroid dysfunction in our patients and to compare with health subject. In this part of the study, whole blood circulating RNAs were collected from pregnant women with TSH levels just above the normal range to determine the impact of a mild elevation of TSH in pregnancy. To transcriptome, we selected healthy nonpregnant women (NPG), women with healthy thyroid pregnancy (HTP) and pregnant women with gestational hypothyroidism (GHT). As described in the paper with details, we perform an edgeR three-group analysis. Results have shown that 31.3% of the genes are downregulated and 68.7% are upregulated in HTP.

2020-03-26 | GSE147527 | GEO

vaginal microbiome for pregnant women

Project description:vaginal microbiome for pregnant women

| PRJNA488871 | ENA

vaginal microbiota of pregnant women

Project description:vaginal microbiota of pregnant women

| PRJEB10913 | ENA

Proteomes of Placenta from Pregnant Women with Intrahepatic Cholestasis of Pregnancy

Project description:The iTRAQ analysis combined with liquid chromatography-tandem mass spectrometry (LC-MS/MS) was performed to separate differentially expressed placental proteins from 4 pregnant women with ICP and 4 healthy pregnant women.

2021-09-24 | PXD028734 | Pride

Analysis of plasma proteome of pregnant women with polycystic ovary syndrome (PCOS

Project description:Polycystic ovary syndrome (PCOS) is the most common endocrinological disorder of fertile-aged women. PCOS has been associated with adverse pregnancy outcomes and abnormalities of the placenta. By taking a quantitative label-free quantitative proteomics approach we set out to investigate if changes in the plasma proteome of pregnant women with PCOS could elucidate the mechanisms behind the pathologies observed in PCOS pregnancies. We have performed label-free quantitative proteomics on plasma samples from pregnant women with PCOS at term (n=14) and plasma samples from pregnant control women (n = 23) matched for age, gestational length and BMI. The samples are derived from BASIC pregnancy cohort from Uppsala, Sweden. A total of 169 proteins with two or more unique peptides were identified.

2019-11-25 | PXD012034 | Pride

Thailand-Myanmar pregnant women vaginal swab

Project description:Thailand-Myanmar pregnant women vaginal swab Metagenome

| PRJNA692679 | ENA

UGA Folic acid supplementation in pregnant women

Project description:UGA Folic acid supplementation in pregnant women

| PRJNA473156 | ENA

Epigenome analysis of CD4+ T cells from non-pregnant, 1st and 2nd trimester pregnant women

Project description:Epigenetics may play a central, but yet unexplored, role in the profound changes that the maternal immune system undergoes during pregnancy. We investigated changes in the methylome in isolated circulating CD4+ T cells in non-pregnant and pregnant women, during the 1st and 2nd trimester, using the Illumina Infinium Human Methylation 450K array, and explored how these changes were related to autoimmune diseases that are known to be affected during pregnancy. Pregnancy was associated with thousands of methylation differences, particularly during the 2nd trimester, where the majority of sites were hypermethylated, indicating transcriptional repression. Using a network-based modular approach disclosed several genes and pathways related to T cell signalling and activation. The pregnancy module was significantly enriched for disease-associated methylation changes related to multiple sclerosis, rheumatoid arthritis and systemic lupus erythematosus. The directionality of the changes was also in line with the previously observed effect of pregnancy on the disease activity, with a negative correlation for multiple sclerosis and rheumatoid arthritis that improves during pregnancy, and a positive correlation for systemic lupus erythematosus, a disease that instead worsens. In summary, this systems medicine approach supports the importance of the methylome in immune regulation of CD4+ T cells during pregnancy. Samples included twelve (n=12) non-pregnant women, elven (n=11) 1st trimester pregnant women and twelve (n=12)

2022-06-06 | GSE153459 | GEO

An RNA signature for tuberculosis risk in pregnant women: a prospective cohort study from Pune, India

Project description:Background: Pregnant and postpartum women are at high risk of developing active tuberculosis (TB), but transcriptional TB studies have excluded pregnant women. We identified differentially expressed genes (DEGs) in pregnant women who did and did not progress to active TB. Methods: We followed a cohort of pregnant Indian women with TB infection for one year postpartum, collecting blood at study entry, 6 weeks postpartum and active TB diagnosis. A prospective signature of risk was identified by comparing whole blood RNA sequencing data from women who developed active TB postpartum (cases) with those who remained healthy (controls). Results: We identified 9 cases and matched them to 18 controls by HIV status and gestational age. A gene set of risk was identified: Expression of KCNIP4 > 2.2 log CPM and S1PR4 < 7.3 log CPM indicated a high probability of developing active TB postpartum. SF3B4 (>4.3 log CPM) and PGAM1 (>6.6 log CPM) correctly classified postpartum cases and controls. Both pairs displayed high accuracy (AUC >0.9) and were unique from 36 published TB signatures.Conclusions: We identified two genes that prospectively differentiated pregnant women who developed active TB postpartum from those who did not. If validated, this signature could be useful in targeted TB prevention programs.

2021-09-01 | GSE168519 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data