Dataset Information

Serum proteomics of multiple menstrual symptoms in female athlete

ABSTRACT: Menstrual symptoms, including primary dysmenorrhea and premenstrual syndrome, are significant problems affecting women’s health condition. However, their biological functions are still unclear. The objective of this study was to elucidate proteins related to menstrual symptoms with high-performance two-dimensional gel electrophoresis (2DE). Serum samples were collected once a week over five weeks. At the same time, 46 types of menstrual symptoms were evaluated using a menstrual distress questionnaire (MDQ) on a scale of 0-4 (0:no symptom, closer to 4:severe). 2DE images were obtained from the serum of participants with continuous menstrual phases, including the luteal, menstrual and follicular phases. Multiple regression analysis was conducted to identify proteins that change in response to the interaction between menstrual phase and menstrual symptoms. As a result, six symptoms were associated with specific proteins (muscle stiffness with serin protease-1; general aches and pains with junction plakoglobulin; tension with transferrin, ceruloplasmin and desmoglein; depression with kininogen-1; distractible with dermcidin; tendency to take a nap or stay in bed with transferrin and hemopexin). These results indicate that various menstrual symptoms may have different underlying mechanisms. Further research into these proteins may lead to novel understanding of menstrual symptoms and support more effective health management for women.

INSTRUMENT(S):

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Blood Serum

SUBMITTER: Kai Fushimi

LAB HEAD: Kai Fushimi

PROVIDER: PXD065313 | Pride | 2026-04-27

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 25

Publications

Serum Proteomics of Multiple Menstrual Symptoms in Female Athletes: A Pilot Study.

Fushimi Kai K Kondo Tasuku T Ikegami Nodoka N Yamada Mizuki M Wong Sing Ying SY Sakamaki-Sunaga Mikako M Hayashi Nobuhiro N

FASEB bioAdvances 20260420

Menstrual symptoms, including primary dysmenorrhea and premenstrual syndrome, are significant problems affecting women's health condition. However, their biological functions are still unclear. The objective of this study was to elucidate proteins related to menstrual symptoms with high-performance two-dimensional gel electrophoresis (2DE). Serum samples were collected once a week over 5 weeks. At the same time, 46 types of menstrual symptoms were evaluated using a menstrual distress questionnai ...[more]

PMID: 42022054

Similar Datasets

Project description:The experiment was carried out during two vegetation seasons from 25th of April to 10th of September. Two Polish potato cultivars, the drought-tolerant Gwiazda and drought-sensitive Oberon were used. Selected tubers with transverse diameters of 3 - 4 cm were pre-sprouted for 2 weeks before planting. Plants were grown in a vegetation hall in pots filled with a thin layer of gravel on the bottom and the universal vegetable soil substrate ‘Hollas’ (Agaris Polska Ltd., Poland) produced from peat with the addition of chalk at a pH range of 5.5-6.5. Additionally, in phase 20 of the BBCH-scale of plant development, MIS-3 (Intermag) fertilizer was applied. Water content (WC) in volumetric basis in soil pots was measured according Black (1965). Weather conditions during the years of study were monitored using a Weather Campbell Station (Campbell Scientific Inc.) located in close proximity, and a thermohygrograph placed between pots. Meteorological data of air temperature, the photosynthetically active radiation, and humidity were comparable in the years of study and favorable for potato development. Three weeks after the initiation of the tuberisation phase (56 DAP), plants were divided into 3 groups, each consisting of 6 plants. The first group of plants was subjected to soil drought (remained without irrigation, day/night temperature 22°C/18°C), the second one to high temperature (day/night temperature 38°C/25°C) and the third one was watered according to needs and at optimal temperature (control plants, day/night temperature 22°C/18°C). Stress application lasted 14 days and finished at 70 DAP. During this period, plants were placed in phytotron equipped with six Hortilux Schreder Lamps with Philips light bulbs of 1600 W each. Air humidity was in the range 65-70%. WC under 14 days of soil drought reached 30% (v/v), and remained 80% (v/v) in control and high temperature conditions. During the recovery period, after 14 days of stress treatment, WC reached control levels. Plant root material for proteomic research was collected on the 14th day of stress treatment (70 DAP).

Project description:During pregnancy, the Zika virus (ZIKV) can be vertically transmitted, causing Congenital Zika Syndrome (CZS) in fetuses. ZIKV infection in early gestational trimesters increases the chances to develop CZS. This syndrome involves several pathologies with a difficult diagnosis, which usually occurs in the postnatal stage. In this work, we aim to identify biological processes and molecular pathways related to CZS development and propose a series of putative protein and metabolite biomarkers for CZS prognosis in early pregnancy trimesters. Twenty-five serum samples of pregnant women were analyzed. For biological analysis, samples were separated into 3 biological groups composed of a control group of healthy pregnant women and two groups of ZIKV-infected pregnant women bearing non- microcephalic and microcephalic fetuses. Control and ZIKV-infected groups - without microcephalic fetuses - were subdivided into healthy and Cognitive Developmental Delay (CDD) newborns for biomarker analysis. We detected over 1,000 proteins and 500 metabolites by bottom-up proteomics and untargeted metabolomics, respectively. Statistical approaches - (t-Student, Limma, ANOVA, and DIABLO) - were applied to find CZS differentially abundant proteins (DAP) and metabolites (DAM). Enrichment analysis (i.e., biological processes and molecular pathways) of the DAP and the DAM allowed us to identify the ECM organization and proteoglycans, amino acid metabolism, and arachidonic acid metabolism as signatures in the CZS development. Five proteins and four metabolites were selected as CZS biomarkers candidates. The protein-based model indicated superior performance values for the Vitamin K-dependent protein S, Selenoprotein P, Inter-alpha- trypsin inhibitor heavy chain H2, Kallistatin, and Protein Z-dependent protease inhibitor proteins. Furthermore, the metabolite-based model was able to predict CZS with a probability of 90%. Serum multi-omics analysis led us to propose for further studies nine potential biomarkers for CZS early prognosis with high sensitivity and specificity.

			Action	DRS
	281.mgf	Mgf
	281.mzTab	Mztab
	281.raw	Raw
	285.mgf	Mgf
	285.mzTab	Mztab