Evidence map›Paper›PMID 41986428›Full record

ArticleScientific reports2026

Proteomics to reveal relationship between menstrual cycle and subjective conditions.

Kai Fushimi, Tasuku Kondo, Nodoka Ikegami, Mizuki Yamada, Sing Ying Wong, Mikako Sakamaki-Sunaga, Nobuhiro Hayashi

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Kai FushimiSchool of Life Science and Technology, Institute of Science Tokyo, Ookayama, Meguro-ku, Tokyo, Japan.
Tasuku KondoSchool of Life Science and Technology, Institute of Science Tokyo, Ookayama, Meguro-ku, Tokyo, Japan.
Nodoka IkegamiDepartment of Exercise Physiology, Nippon Sport Science University, Fukasawa, Setagaya-ku, Tokyo, Japan.
Mizuki YamadaDepartment of Exercise Physiology, Nippon Sport Science University, Fukasawa, Setagaya-ku, Tokyo, Japan.
Sing Ying WongSchool of Life Science and Technology, Institute of Science Tokyo, Ookayama, Meguro-ku, Tokyo, Japan.
Mikako Sakamaki-SunagaDepartment of Exercise Physiology, Nippon Sport Science University, Fukasawa, Setagaya-ku, Tokyo, Japan.
Nobuhiro HayashiSchool of Life Science and Technology, Institute of Science Tokyo, Ookayama, Meguro-ku, Tokyo, Japan. nhayashi@life.isct.ac.jp.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The menstrual cycle is a vital component of female health, influencing both physical and mental well-being. However, the underlying biological mechanisms remain poorly understood. This study aimed to investigate the relationship between proteins and subjective condition related to the menstrual cycle using two-dimensional gel electrophoresis (2-DE). Serum samples were collected weekly from 42 female students over a period of 5 weeks, totaling 210 2-DE images. Simultaneously, two female hormones -- estradiol and progesterone -- were measured. Participants also 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 kallistatin and transferrin were significantly higher in the SC High group. Notably, the evaluation of discernment ability using receiver operating characteristic curve (ROC) analysis showed that 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 proteomics proves to be a valuable approach, and targeting these proteins may lead to effective health management strategies for females.

Indexed as

Menstrual CycleProteomeProteomicsAdultBiomarkersElectrophoresis, Gel, Two-DimensionalEstradiolFemaleHumansProgesteroneROC CurveTransferrinYoung AdultBiomarkersEstradiolProgesteroneProteomeTransferrin

Identifiers

PMID41986428
PMCPMC13237009

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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.