ArticleBMC medical genomics2021
DIA proteomics analysis through serum profiles reveals the significant proteins as candidate biomarkers in women with PCOS.
Article in BMC medical genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
17 citing papers in PubMed, 27 citations in OpenAlex.
- Systems genetics approaches model the heritable architecture of polyendocrine metabolic ovarian syndrome.The Journal of clinical investigation · 2026Article
- Uncovering candidate protein(s) in murine vaginal lavage fluid linked to sperm-agglutinating Escherichia coli-induced infertility menace: a discovery phase analysis.Archives of microbiology · 2026Article
- Proteomic Profiling of Hu Sheep Placental Development Across Gestational Stages Reveals Stage-Specific Regulatory Networks.International journal of molecular sciences · 2025Article
- Metabolomics- and Proteomics-Based Disease Diagnostic Classifier Model for the Prediction and Diagnosis of Colorectal Carcinoma.Journal of proteome research · 2025Article
- Link between iron-mediated lipid peroxidation and polycystic ovary syndrome (PCOS): exploring the genes underlying iron regulatory mechanism.Journal of ovarian research · 2025Article
- Polycystic Ovarian Syndrome: A Review of Multi-omics Analyses.Reproductive sciences (Thousand Oaks, Calif.) · 2025Review
- Enhanced Analysis of Low-Abundance Proteins in Soybean Seeds Using Advanced Mass Spectrometry.International journal of molecular sciences · 2025Article
- Metabolism-related proteins as biomarkers for predicting prognosis in polycystic ovary syndrome.Proteome science · 2024Article
- DIA-Based Proteomic Analysis Reveals MYOZ2 as a Key Protein Affecting Muscle Growth and Development in Hybrid Sheep.International journal of molecular sciences · 2024Article
- DIA-based proteomics analysis of serum-derived exosomal proteins as potential candidate biomarkers for intrahepatic cholestasis in pregnancy.Archives of gynecology and obstetrics · 2023Article
- Multi-omics insights and therapeutic implications in polycystic ovary syndrome: a review.Functional & integrative genomics · 2023Review
- Identification and immune features of cuproptosis-related molecular clusters in polycystic ovary syndrome.Scientific reports · 2023Article
- Combining proteomic markers to construct a logistic regression model for polycystic ovary syndrome.Frontiers in endocrinology · 2023Article
- Trends in metabolic dysfunction in polycystic ovary syndrome: a bibliometric analysis.Frontiers in endocrinology · 2023Review
- Quantitative Proteomic Analysis of Serum Reveals MST1 as a Potential Candidate Biomarker in Spontaneously Diabetic Cynomolgus Monkeys.ACS omega · 2022Article
- Article
- Insulin resistance, autophagy and apoptosis in patients with polycystic ovary syndrome: Association with PI3K signaling pathway.Frontiers in endocrinology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe aim of this study was to apply proteomic methodology for the analysis of proteome changes in women with polycystic ovary syndrome (PCOS). MATERIAL AND
methodsAll the participators including 31 PCOS patients and 31 healthy female as controls were recruited, the clinical characteristics data was recorded at the time of recruitment, the laboratory biochemical data was detected. Then, a data-independent acquisition (DIA)-based proteomics method was performed to compare the serum protein changes between PCOS patients and controls. In addition, Western blotting was used to validate the expression of identified proteomic biomarkers.
resultsThere were 80 proteins differentially expressed between PCOS patients and controls significantly, including 54 downregulated and 26 upregulated proteins. Gene ontology and Kyoto Encyclopedia of Genes and Genomes analysis showed that downregulated proteins were enriched in platelet degranulation, cell adhesion, cell activation, blood coagulation, hemostasis, defense response and inflammatory response terms; upregulated proteins were enriched in cofactor catabolic process, hydrogen peroxide catabolic process, antioxidant activity, cellular oxidant detoxification, cellular detoxification, antibiotic catabolic process and hydrogen peroxide metabolic process. Receiver operating characteristic curves analysis showed that the area under curve of Histone H4 (H4), Histone H2A (H2A), Trem-like transcript 1 protein (TLT-1) were all over than 0.9, indicated promising diagnosis values of these proteins. Western blotting results proved that the detected significant proteins, including H4, H2A, TLT-1, Peroxiredoxin-1, Band 3 anion transport protein were all differently expressed in PCOS and control groups significantly.
conclusionThese proteomic biomarkers provided the potentiality to help us understand PCOS better, but future studies comparing systemic expression and exact role of these candidate biomarkers in PCOS are essential for confirmation of this hypothesis.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.