PCOSNCT02992093
A Metabolomic Study of Polycystic Ovary Syndrome With Insulin Resistance and Its Relationship With TCM Syndrome Types
An observational study of PCOS, run by Fujian Maternity and Child Health Hospital at 1 site in China.
Trial summary
The type-2 diabetes mellitus（T2DM）, metabolic syndrome, cardiovascular disease complications induced by polycystic ovary syndrome(PCOS) with insulin resistance(IR）, which become serious threat to public health. Read more about this study
- Who is it for?
- Ages 18 to 40 years, women onlyHealthy volunteers can take part
- Conditions the study is for
- PCOS
- What is being tested?
- all the indicators
- How many people
- 300 participants
- Where
- 1 siteChina
- Study dates
- Dec 2016to Aug 2020
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 40 years
- Women only
- Healthy volunteers accepted
- Adult
Study population: The selection of research subjects: PCOS non obese patients, PCOS obese patients,PCOS with IGT patients,PCOS with T2DM patients,and body mass index matched healthy volunteers collect from Fujian Maternity and Child Health Hosptial
Who may be able to join
- The diagnosis of polycystic ovary syndrome (PCOS) according to the Rotterdam consensus criteria recommended by European Society of Human Reproduction and Embryology and American Society for Reproductive Medicine in 2003（2 out of 3)：Oligo-and/or anovulation；Clinical and/or biochemical signs of hyperandrogenism；Polycystic ovaries.
- Diagnostic criteria for insulin resistance: use the HOMA model to evaluate insulin resistance. The HOMA index of insulin resistance (HOMA-IR) = (fasting blood glucose (mmol/L)× fasting insulin (mIU/L) /22.5.
- voluntary subjects
Who cannot join
- the exclusion of other causes of Kaohsiung hormones, such as congenital adrenal hyperplasia, Cushing syndrome, androgen secreting tumors, and other diseases caused by ovulation disorders, such as hyperprolactinemia, premature ovarian failure, pituitary or hypothalamus closed by etc；
- exclusion of organic disease or other endocrine diseases；
- with liver and kidney, cerebral blood vessels, cardiovascular and hematopoietic disorders, such as primary disease, mental patients；
- patients who had been treated with steroids in nearly three months , such as the birth control pill, and corticosteroids.
Trial locations and contacts
1 site in 1 country.
China1 site
Fujian Maternity and Child Health Hosptial
Fuzhou, Fujian, 350000
Jinbang Xu, 13559958096, 13559958096@126.com
About this study
Official title: Fujian Maternity and Child Health Hospital
The type-2 diabetes mellitus（T2DM）, metabolic syndrome, cardiovascular disease complications induced by polycystic ovary syndrome(PCOS) with insulin resistance(IR）, which become serious threat to public health. In this observational study, obese patients with PCOS,nonobese patients with PCOS, PCOS patients with impaired glucose tolerance（IGT）, PCOS patients with type-2 diabetes mellitus（T2DM）, and healthy volunteers would enrolled into this study, through the Liquid Chromatography-Mass Spectrometry coupled to Mass Spectrometry（ LC-MS/MS）and Rapid Resolution Liquid Chromatography（RRLC） and Quadrupole Linear Trap（QTRAP）Mass Spectrometry coupled to Mass Spectrometry （MS/MS）analysis of serum samples collected from PCOS patients and healthy volunteers to screen the biomarker of diagnosis for PCOS with insulin resistance, to explore the correlation between traditional chinese medicine （TCM） syndrome（phlegm, kidney yin deficiency, kidney yang deficiency, qi stagnation and blood stasis，dampness-heat of liver channel）and metabolites of PCOS.
Read the detailed description
- The selection of research subjects: All the subjects collect from Fujian Maternity and Child Health Hospital.
- The participants will be divided into five groups：obese with PCOS，nonobese with PCOS，PCOS with IGT，PCOS with T2DM，healthy volunteers.the syndrome type of PCOS will be divided into five types: phlegm, kidney yin deficiency, kidney yang deficiency, liver qi stagnation and blood stasis syndrome, dampness-heat of liver channel.
- Ethical requirements and subjects' informed consent Before clinical trials begin, the program needs to be approved by the ethics committee to approve and sign the approval.The subjects need fully aware of the clinical trial and are given sufficient time to consider whether they are willing to participate in the trial, and to sign the informed consent form.
- Indicator test (the cost of all health volunteers are paid by the research) (1)Physical examination: blood pressure, height, body weight,waist circumference,hip circumference，body mass index(BMI),waist-hip ratio（WHR）. (2)Endocrine hormones: collect serum from all the subjects，use the enzyme linked immunosorbent assay (ELISA) method to detect the level of serum follicle-stimulating hormone（FSH）,luteinizing hormone（LH）,prolactin（PRL）,estradiol（E2）,testosterone（T）. Blood lipid: glycerin three vinegar (TG), cholesterol (CHOL) detect by enzymatic method, low density lipoprotein (LDL-C), high density lipoprotein (HDL-C) detect by the turbidity method. Glucose tolerance and insulin release test after glucose loading: all subjects were fasting for 8 to 10 h, check the fasting blood glucose(FBG)and fasting insulin （FINS）.The oral glucose tolerance test（OGTT）and insulin release test were performed in the next morning.
5.Study on the characteristics of metabolism
（1）Through the sample pretreatment method, analyzes the optimization of the condition of mass spectrometry, according to the requirements of the metabolism to establish the blood sample LC-MS/MS metabolism analysis method.（2）Carry out the analysis of metabolism and data collection.（3）Model building and data analysis（4）Use RRLC and QTRAP type MS/MS with positive and negative ion detection mode with the combination of hyphenated techniques, combined with the method of data statistics,to establish multiple reaction monitoring（MRM） detection, to verify the precision and sensitivity of the method.
6.Statistical methods: All data use statistical product and service solutions18.0（SPSS18.0）software package for statistical analysis. According to the character of clinical trial data (measurement, classification and grade data), select the appropriate statistical analysis method.receiver operating characteristic curve（ROC） analysis of the potential metabolites selected from the targeting metabolic biomarker.
- Conditions
- PCOS
- Being tested
- all the indicators
- Keywords
- Polycystic ovary syndrome, Metabonomics, Traditional Chinese medicine syndromes
- Medical subject headings
- Polycystic Ovary Syndrome
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
all the indicatorsOther
BMI、WHR、FSH、LH、PRL、T、E2、TG、CHOL、LDL-C、HDL-C、FBG、OGTT、FINS、insulin release test、HOMA index、identification of metabolites
| Study group | Role | What they receive |
|---|---|---|
| obese with PCOS | all the indicators Receives: Other: all the indicators | |
| nonobese with PCOS | all the indicators Receives: Other: all the indicators | |
| PCOS with IGT | all the indicators Receives: Other: all the indicators | |
| PCOS with T2DM | all the indicators Receives: Other: all the indicators | |
| Healthy volunteers | all the indicators Receives: Other: all the indicators |
What is being measured
The primary outcome is the main question the study is designed to answer.
metabolites
Collect serum from all the subjects , through the sample pretreatment method,the metabolic features are first scanned by using Liquid Chromatography-Mass Spectrometry coupled w ith Mass Spectrometry,extracted ion-pairs were fetched to type RRLC and QTRAP(MS/MS) for multiple reaction monitoring（MRM） detection,Peak detection and alignment from the raw date use Analyst Quantitation software ,use SIMCA-P11.0 to conduct principle component analysis(PCA) and partial least squares-discriminant analysis(PLS-DA) model,use SPSS18.0 software package for statistical analysis
Measured: six months
Secondary outcomes (16)
BMI
weight（kg）/ the square of height(m2)
Measured: day 1
WHR
Measured: day 1
FSH
use the ELISA method to detect the levels of serum FSH
Measured: day 2 to 5 in menstrual period
LH
use the ELISA method to detect the levels of serum LH
Measured: day 2 to 5 in menstrual period
PRL
use the ELISA method to detect the levels of serum PRL
Measured: day 2 to 5 in menstrual period
T
use the ELISA method to detect the levels of serum T
Measured: day 2 to 5 in menstrual period
E2
use the ELISA method to detect the levels of serum E2
Measured: day 2 to 5 in menstrual period
TG
use the enzymatic method to detect the levels of serum TG
Measured: day 1
CHOL
use the enzymatic method to detect the levels of serum CHOL
Measured: day 1
LDL-C
use turbidity method to detect the levels of serum LDL-C
Measured: day 1
HDL-C
use turbidity method to detect the levels of serum HDL-C
Measured: day 1
FBG
use glucose oxidase method to detect the levels of serum FBG
Measured: day 1
OGTT
The levels of blood glucose about 1, 2, 3 hours after glucose loading
Measured: day 1
FINS
use radioimmunoassay to detect the levels of serum FINS
Measured: day 1
insulin release test
The levels of Insulin about 1, 2, 3 hours after glucose loading
Measured: day 1
HOMA index
Measured: day 1
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted14 Dec 2016 (estimated)
- Study startDec 2016
- Primary completionMay 2020 (estimated)
- Study completionAug 2020 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (14)Papers the sponsor has linked to this study.
- Other trials for PCOSStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Time perspective
- Prospective
- Enrolment
- 300 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Fujian Maternity and Child Health Hospital
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- Jinbang Xu, Principal investigator, Fujian Maternity and Child Health Hosptial
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02992093
- Sponsor's protocol ID
- Dunjingjing
- Status last verified
- Dec 2016
- First submitted
- 1 Dec 2016
- Last updated
- 15 Dec 2016
- Results posted
- No
- Data monitoring committee
- Yes
- Individual data sharing
- No
Publications
Suvarna Y, Maity N, Kalra P, Shivamurthy MC. Comparison of efficacy of metformin and oral contraceptive combination of ethinyl estradiol and drospirenone in polycystic ovary syndrome. J Turk Ger Gynecol Assoc. 2016 Jan 12;17(1):6-9. doi: 10.5152/jtgga.2016.16129. eCollection 2016.
PubMed 27026772Victor VM, Rovira-Llopis S, Banuls C, Diaz-Morales N, Martinez de Maranon A, Rios-Navarro C, Alvarez A, Gomez M, Rocha M, Hernandez-Mijares A. Insulin Resistance in PCOS Patients Enhances Oxidative Stress and Leukocyte Adhesion: Role of Myeloperoxidase. PLoS One. 2016 Mar 23;11(3):e0151960. doi: 10.1371/journal.pone.0151960. eCollection 2016.
PubMed 27007571Sathyapalan T, Atkin SL. Recent advances in cardiovascular aspects of polycystic ovary syndrome. Eur J Endocrinol. 2012 Apr;166(4):575-83. doi: 10.1530/EJE-11-0755. Epub 2011 Nov 17.
PubMed 22096112Chen L, Xu WM, Zhang D. Association of abdominal obesity, insulin resistance, and oxidative stress in adipose tissue in women with polycystic ovary syndrome. Fertil Steril. 2014 Oct;102(4):1167-1174.e4. doi: 10.1016/j.fertnstert.2014.06.027. Epub 2014 Jul 23.
PubMed 25064406Wehr E, Gruber HJ, Giuliani A, Moller R, Pieber TR, Obermayer-Pietsch B. The lipid accumulation product is associated with impaired glucose tolerance in PCOS women. J Clin Endocrinol Metab. 2011 Jun;96(6):E986-90. doi: 10.1210/jc.2011-0031. Epub 2011 Apr 6.
PubMed 21470992Zhao Y, Fu L, Li R, Wang LN, Yang Y, Liu NN, Zhang CM, Wang Y, Liu P, Tu BB, Zhang X, Qiao J. Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis. BMC Med. 2012 Nov 30;10:153. doi: 10.1186/1741-7015-10-153.
PubMed 23198915Collins FS, Green ED, Guttmacher AE, Guyer MS; US National Human Genome Research Institute. A vision for the future of genomics research. Nature. 2003 Apr 24;422(6934):835-47. doi: 10.1038/nature01626. Epub 2003 Apr 14. No abstract available.
PubMed 12695777Azziz R, Carmina E, Dewailly D, Diamanti-Kandarakis E, Escobar-Morreale HF, Futterweit W, Janssen OE, Legro RS, Norman RJ, Taylor AE, Witchel SF; Task Force on the Phenotype of the Polycystic Ovary Syndrome of The Androgen Excess and PCOS Society. The Androgen Excess and PCOS Society criteria for the polycystic ovary syndrome: the complete task force report. Fertil Steril. 2009 Feb;91(2):456-88. doi: 10.1016/j.fertnstert.2008.06.035. Epub 2008 Oct 23.
PubMed 18950759Sun L, Hu W, Liu Q, Hao Q, Sun B, Zhang Q, Mao S, Qiao J, Yan X. Metabonomics reveals plasma metabolic changes and inflammatory marker in polycystic ovary syndrome patients. J Proteome Res. 2012 May 4;11(5):2937-46. doi: 10.1021/pr3000317. Epub 2012 Apr 13.
PubMed 22428626Atiomo W, Daykin CA. Metabolomic biomarkers in women with polycystic ovary syndrome: a pilot study. Mol Hum Reprod. 2012 Nov;18(11):546-53. doi: 10.1093/molehr/gas029. Epub 2012 Jul 18.
PubMed 22809877Escobar-Morreale HF, Samino S, Insenser M, Vinaixa M, Luque-Ramirez M, Lasuncion MA, Correig X. Metabolic heterogeneity in polycystic ovary syndrome is determined by obesity: plasma metabolomic approach using GC-MS. Clin Chem. 2012 Jun;58(6):999-1009. doi: 10.1373/clinchem.2011.176396. Epub 2012 Mar 16.
PubMed 22427353Zhao X, Xu F, Qi B, Hao S, Li Y, Li Y, Zou L, Lu C, Xu G, Hou L. Serum metabolomics study of polycystic ovary syndrome based on liquid chromatography-mass spectrometry. J Proteome Res. 2014 Feb 7;13(2):1101-11. doi: 10.1021/pr401130w. Epub 2014 Jan 24.
PubMed 24428203Wild RA, Rizzo M, Clifton S, Carmina E. Lipid levels in polycystic ovary syndrome: systematic review and meta-analysis. Fertil Steril. 2011 Mar 1;95(3):1073-9.e1-11. doi: 10.1016/j.fertnstert.2010.12.027. Epub 2011 Jan 17.
PubMed 21247558Gaster M, Nehlin JO, Minet AD. Impaired TCA cycle flux in mitochondria in skeletal muscle from type 2 diabetic subjects: marker or maker of the diabetic phenotype? Arch Physiol Biochem. 2012 Jul;118(3):156-89. doi: 10.3109/13813455.2012.656653. Epub 2012 Mar 5.
PubMed 22385297
Study at a glance
From the registry record, last updated by the sponsor on 15 Dec 2016. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Fujian Maternity and Child Health Hospital
- ClinicalTrials.gov ID
- NCT02992093
- Acronym / sponsor ID
- Dunjingjing
- Conditions
- PCOS
- Keywords
- Polycystic ovary syndrome, Metabonomics, Traditional Chinese medicine syndromes
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 300 participants (estimated)
- Lead sponsor
- Fujian Maternity and Child Health HospitalUniversity, hospital or other
- Study start
- Dec 2016
- Primary completion
- May 2020 (estimated)
- Study completion
- Aug 2020 (estimated)
- First posted
- 14 Dec 2016 (estimated)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The type-2 diabetes mellitus（T2DM）, metabolic syndrome, cardiovascular disease complications induced by polycystic ovary syndrome(PCOS) with insulin resistance(IR）, which become serious threat to public health. In this observational study, obese patients with PCOS,nonobese patients with PCOS, PCOS patients with impaired glucose tolerance（IGT）, PCOS patients with type-2 diabetes mellitus（T2DM）, and healthy volunteers would enrolled into this study, through the Liquid Chromatography-Mass Spectrometry coupled to Mass Spectrometry（ LC-MS/MS）and Rapid Resolution Liquid Chromatography（RRLC） and Quadrupole Linear Trap（QTRAP）Mass Spectrometry coupled to Mass Spectrometry （MS/MS）analysis of serum samples collected from PCOS patients and healthy volunteers to screen the biomarker of diagnosis for PCOS with insulin resistance, to explore the correlation between traditional chinese medicine （TCM） syndrome（phlegm, kidney yin deficiency, kidney yang deficiency, qi stagnation and blood stasis，dampness-heat of liver channel）and metabolites of PCOS.
Detailed description
- The selection of research subjects: All the subjects collect from Fujian Maternity and Child Health Hospital.
- The participants will be divided into five groups：obese with PCOS，nonobese with PCOS，PCOS with IGT，PCOS with T2DM，healthy volunteers.the syndrome type of PCOS will be divided into five types: phlegm, kidney yin deficiency, kidney yang deficiency, liver qi stagnation and blood stasis syndrome, dampness-heat of liver channel.
- Ethical requirements and subjects' informed consent Before clinical trials begin, the program needs to be approved by the ethics committee to approve and sign the approval.The subjects need fully aware of the clinical trial and are given sufficient time to consider whether they are willing to participate in the trial, and to sign the informed consent form.
- Indicator test (the cost of all health volunteers are paid by the research) (1)Physical examination: blood pressure, height, body weight,waist circumference,hip circumference，body mass index(BMI),waist-hip ratio（WHR）. (2)Endocrine hormones: collect serum from all the subjects，use the enzyme linked immunosorbent assay (ELISA) method to detect the level of serum follicle-stimulating hormone（FSH）,luteinizing hormone（LH）,prolactin（PRL）,estradiol（E2）,testosterone（T）. Blood lipid: glycerin three vinegar (TG), cholesterol (CHOL) detect by enzymatic method, low density lipoprotein (LDL-C), high density lipoprotein (HDL-C) detect by the turbidity method. Glucose tolerance and insulin release test after glucose loading: all subjects were fasting for 8 to 10 h, check the fasting blood glucose(FBG)and fasting insulin （FINS）.The oral glucose tolerance test（OGTT）and insulin release test were performed in the next morning.
5.Study on the characteristics of metabolism
（1）Through the sample pretreatment method, analyzes the optimization of the condition of mass spectrometry, according to the requirements of the metabolism to establish the blood sample LC-MS/MS metabolism analysis method.（2）Carry out the analysis of metabolism and data collection.（3）Model building and data analysis（4）Use RRLC and QTRAP type MS/MS with positive and negative ion detection mode with the combination of hyphenated techniques, combined with the method of data statistics,to establish multiple reaction monitoring（MRM） detection, to verify the precision and sensitivity of the method.
6.Statistical methods: All data use statistical product and service solutions18.0（SPSS18.0）software package for statistical analysis. According to the character of clinical trial data (measurement, classification and grade data), select the appropriate statistical analysis method.receiver operating characteristic curve（ROC） analysis of the potential metabolites selected from the targeting metabolic biomarker.
Study design
- Time perspective
- Prospective
- Number of arms
- 5
| Arm | Type | Receives |
|---|---|---|
| obese with PCOS | – | Other: all the indicatorsall the indicators |
| nonobese with PCOS | – | Other: all the indicatorsall the indicators |
| PCOS with IGT | – | Other: all the indicatorsall the indicators |
| PCOS with T2DM | – | Other: all the indicatorsall the indicators |
| Healthy volunteers | – | Other: all the indicatorsall the indicators |
Who may qualify
- Ages
- 18 to 40 years
- Sex
- Female only
- Healthy volunteers
- Accepted
- Age groups
- Adult
- Study population
- The selection of research subjects: PCOS non obese patients, PCOS obese patients,PCOS with IGT patients,PCOS with T2DM patients,and body mass index matched healthy volunteers collect from Fujian Maternity and Child Health Hosptial
Key inclusion criteria (3 listed)
- The diagnosis of polycystic ovary syndrome (PCOS) according to the Rotterdam consensus criteria recommended by European Society of Human Reproduction and Embryology and American Society for Reproductive Medicine in 2003（2 out of 3)：Oligo-and/or anovulation；Clinical and/or biochemical signs of hyperandrogenism；Polycystic ovaries.
- Diagnostic criteria for insulin resistance: use the HOMA model to evaluate insulin resistance. The HOMA index of insulin resistance (HOMA-IR) = (fasting blood glucose (mmol/L)× fasting insulin (mIU/L) /22.5.
- voluntary subjects
Key exclusion criteria (4 listed)
- the exclusion of other causes of Kaohsiung hormones, such as congenital adrenal hyperplasia, Cushing syndrome, androgen secreting tumors, and other diseases caused by ovulation disorders, such as hyperprolactinemia, premature ovarian failure, pituitary or hypothalamus closed by etc；
- exclusion of organic disease or other endocrine diseases；
- with liver and kidney, cerebral blood vessels, cardiovascular and hematopoietic disorders, such as primary disease, mental patients；
- patients who had been treated with steroids in nearly three months , such as the birth control pill, and corticosteroids.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| all the indicatorsBMI、WHR、FSH、LH、PRL、T、E2、TG、CHOL、LDL-C、HDL-C、FBG、OGTT、FINS、insulin release test、HOMA index、identification of metabolites | Other | Healthy volunteers, PCOS with IGT, PCOS with T2DM, nonobese with PCOS, obese with PCOS |
Primary outcome
metabolites
Time frame: six months
Collect serum from all the subjects , through the sample pretreatment method,the metabolic features are first scanned by using Liquid Chromatography-Mass Spectrometry coupled w ith Mass Spectrometry,extracted ion-pairs were fetched to type RRLC and QTRAP(MS/MS) for multiple reaction monitoring（MRM） detection,Peak detection and alignment from the raw date use Analyst Quantitation software ,use SIMCA-P11.0 to conduct principle component analysis(PCA) and partial least squares-discriminant analysis(PLS-DA) model,use SPSS18.0 software package for statistical analysis
16 secondary outcomes
BMI
Time frame: day 1
WHR
Time frame: day 1
FSH
Time frame: day 2 to 5 in menstrual period
LH
Time frame: day 2 to 5 in menstrual period
PRL
Time frame: day 2 to 5 in menstrual period
T
Time frame: day 2 to 5 in menstrual period
E2
Time frame: day 2 to 5 in menstrual period
TG
Time frame: day 1
CHOL
Time frame: day 1
LDL-C
Time frame: day 1
HDL-C
Time frame: day 1
FBG
Time frame: day 1
OGTT
Time frame: day 1
FINS
Time frame: day 1
insulin release test
Time frame: day 1
HOMA index
Time frame: day 1
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 15 Dec 2016.
- Results publication: PubMed 27026772Suvarna Y, Maity N, Kalra P, Shivamurthy MC. Comparison of efficacy of metformin and oral contraceptive combination of ethinyl estradiol and drospirenone in polycystic ovary syndrome. J Turk Ger Gynecol Assoc. 2016 Jan 12;17(1):6-9. doi: 10.5152/jtgga.2016.16129. eCollection 2016.
- Results publication: PubMed 27007571Victor VM, Rovira-Llopis S, Banuls C, Diaz-Morales N, Martinez de Maranon A, Rios-Navarro C, Alvarez A, Gomez M, Rocha M, Hernandez-Mijares A. Insulin Resistance in PCOS Patients Enhances Oxidative Stress and Leukocyte Adhesion: Role of Myeloperoxidase. PLoS One. 2016 Mar 23;11(3):e0151960. doi: 10.1371/journal.pone.0151960. eCollection 2016.
- Results publication: PubMed 22096112Sathyapalan T, Atkin SL. Recent advances in cardiovascular aspects of polycystic ovary syndrome. Eur J Endocrinol. 2012 Apr;166(4):575-83. doi: 10.1530/EJE-11-0755. Epub 2011 Nov 17.
- Results publication: PubMed 25064406Chen L, Xu WM, Zhang D. Association of abdominal obesity, insulin resistance, and oxidative stress in adipose tissue in women with polycystic ovary syndrome. Fertil Steril. 2014 Oct;102(4):1167-1174.e4. doi: 10.1016/j.fertnstert.2014.06.027. Epub 2014 Jul 23.
- Results publication: PubMed 21470992Wehr E, Gruber HJ, Giuliani A, Moller R, Pieber TR, Obermayer-Pietsch B. The lipid accumulation product is associated with impaired glucose tolerance in PCOS women. J Clin Endocrinol Metab. 2011 Jun;96(6):E986-90. doi: 10.1210/jc.2011-0031. Epub 2011 Apr 6.
- Results publication: PubMed 23198915Zhao Y, Fu L, Li R, Wang LN, Yang Y, Liu NN, Zhang CM, Wang Y, Liu P, Tu BB, Zhang X, Qiao J. Metabolic profiles characterizing different phenotypes of polycystic ovary syndrome: plasma metabolomics analysis. BMC Med. 2012 Nov 30;10:153. doi: 10.1186/1741-7015-10-153.
- Results publication: PubMed 12695777Collins FS, Green ED, Guttmacher AE, Guyer MS; US National Human Genome Research Institute. A vision for the future of genomics research. Nature. 2003 Apr 24;422(6934):835-47. doi: 10.1038/nature01626. Epub 2003 Apr 14. No abstract available.
- Results publication: PubMed 18950759Azziz R, Carmina E, Dewailly D, Diamanti-Kandarakis E, Escobar-Morreale HF, Futterweit W, Janssen OE, Legro RS, Norman RJ, Taylor AE, Witchel SF; Task Force on the Phenotype of the Polycystic Ovary Syndrome of The Androgen Excess and PCOS Society. The Androgen Excess and PCOS Society criteria for the polycystic ovary syndrome: the complete task force report. Fertil Steril. 2009 Feb;91(2):456-88. doi: 10.1016/j.fertnstert.2008.06.035. Epub 2008 Oct 23.
- Results publication: PubMed 22428626Sun L, Hu W, Liu Q, Hao Q, Sun B, Zhang Q, Mao S, Qiao J, Yan X. Metabonomics reveals plasma metabolic changes and inflammatory marker in polycystic ovary syndrome patients. J Proteome Res. 2012 May 4;11(5):2937-46. doi: 10.1021/pr3000317. Epub 2012 Apr 13.
- Results publication: PubMed 22809877Atiomo W, Daykin CA. Metabolomic biomarkers in women with polycystic ovary syndrome: a pilot study. Mol Hum Reprod. 2012 Nov;18(11):546-53. doi: 10.1093/molehr/gas029. Epub 2012 Jul 18.
- Results publication: PubMed 22427353Escobar-Morreale HF, Samino S, Insenser M, Vinaixa M, Luque-Ramirez M, Lasuncion MA, Correig X. Metabolic heterogeneity in polycystic ovary syndrome is determined by obesity: plasma metabolomic approach using GC-MS. Clin Chem. 2012 Jun;58(6):999-1009. doi: 10.1373/clinchem.2011.176396. Epub 2012 Mar 16.
- Results publication: PubMed 24428203Zhao X, Xu F, Qi B, Hao S, Li Y, Li Y, Zou L, Lu C, Xu G, Hou L. Serum metabolomics study of polycystic ovary syndrome based on liquid chromatography-mass spectrometry. J Proteome Res. 2014 Feb 7;13(2):1101-11. doi: 10.1021/pr401130w. Epub 2014 Jan 24.
- Detection of urine metabolites in polycystic ovary syndrome by UPLC triple-TOF-MSLink provided by the sponsor.
- Metabonomic analysis and biomarker screening of serum for polycystic ovary syndrome patients with phlegm-dampness syndromeLink provided by the sponsor.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Jinbang Xu principal investigator
Fujian Maternity and Child Health Hosptial
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of PCOS, run by Fujian Maternity and Child Health Hospital at 1 site in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 15 Dec 2016. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
Contact Jinbang Xu (13559958096, 13559958096@126.com), or a site near the patient. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
metabolites (time frame: six months). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02992093, which also lists 14 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 15 Dec 2016.