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PXD057655

PXD057655 is an original dataset announced via ProteomeXchange.

Dataset Summary
TitleProteomics to reveal relationship between menstrual cycle and subjective conditions: a pilot study
DescriptionThe menstrual cycle is a vital aspect of women’s health, influencing both physical and mental well-being. Many women experience premenstrual symptom (PMS), such as stomachache and irritability, which can impact daily life. However, the underlying biological mechanisms remain poorly understood, indicating a need for further research. This study aimed to explore the relationship between proteins and subjective condition related to menstrual cycle using two-dimensional gel electrophoresis (2-DE) technique. Serum samples were collected weekly from 42 female students over a period of 5 weeks, resulting in a total of 210 2-DE images. At the same time, two female hormones -- estradiol and progesterone -- were measured. On the morning of every blood collection day, participants rated their subjective condition (SC) score on a scale of 1-5, with scores closer to 5 indicating better condition. These data were categorized into three groups: scores of 1-2 as SC Low, a score of 3 as SC Mid, and scores of 4-5 as SC High. The Steel-Dwass test comparing these groups revealed that two proteins related to oxidative stress, kallistatin and transferrin, are significantly higher in the SC high group compared to both the SC Low and SC Mid groups. Although the specific symptoms that primarily affect SC are not known, oxidative stress is believed to be associated with fatigue and migraine. This study demonstrates that proteins linked to oxidative stress reflect women’s subjective condition during the menstrual cycle. Notably, the evaluation of discernment ability using receiver operating characteristic curve (ROC) shows kallistatin and transferrin exhibit greater discernment than conventional hormonal markers for identifying negative or positive conditions. Investigating well-being related to the menstrual cycle through the lens of proteomics proves to be valuable approach, and targeting these proteins may lead to effective health management strategies for women.
HostingRepositoryPRIDE
AnnounceDate2026-06-15
AnnouncementXMLSubmission_2026-06-14_16:08:33.158.xml
DigitalObjectIdentifierhttps://doi.org/10.6019/PXD057655
ReviewLevelPeer-reviewed dataset
DatasetOriginOriginal dataset
RepositorySupportSupported dataset by repository
PrimarySubmitterKai Fushimi
SpeciesList scientific name: Homo sapiens (Human); NCBI TaxID: NEWT:9606;
ModificationListNo PTMs are included in the dataset
InstrumentOrbitrap Exploris 480
Dataset History
RevisionDatetimeStatusChangeLog Entry
02024-11-08 01:45:38ID requested
12026-06-14 16:08:33announced
Publication List
10.6019/PXD057655;
10.1038/s41598-026-47566-8;
Fushimi K, Kondo T, Ikegami N, Yamada M, Wong SY, Sakamaki-Sunaga M, Hayashi N, Proteomics to reveal relationship between menstrual cycle and subjective conditions. Sci Rep, 16(1):(2026) [pubmed]
Keyword List
submitter keyword: None
Contact List
Kai Fushimi
contact affiliationSchool of Life Science and Technology, Institute of Science Tokyo
contact emailfushimi.k.2b47@m.titech.ac.jp
lab head
Kai Fushimi
contact affiliationTokyo Institute of Technology, Grd of Life science and technology
contact emailfushimi.k.2b47@m.isct.ac.jp
dataset submitter
Full Dataset Link List
Dataset FTP location
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PRIDE project URI
Repository Record List
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