Evidence map›Paper›PMID 38718028›Full record

ArticlePloS one2024

Comparative studies of hair shaft components between healthy and diseased donors.

Atsuko Ota, Hiroaki Kitamura, Keigo Sugimoto, Miho Ogawa, Naoshi Dohmae, Hiroki Okuno, Kazuya Takahashi, Kazutaka Ikeda, Tsutomu Tomita, Naoki Matsuoka and 5 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2024. 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

15 authors.

Atsuko OtaAderans Company Limited, Shinjuku, Tokyo, Japan.
Hiroaki KitamuraAderans Company Limited, Shinjuku, Tokyo, Japan.
Keigo SugimotoAderans Company Limited, Shinjuku, Tokyo, Japan.
Miho OgawaOrganTech Inc., Chuo-ku, Tokyo, Japan.
Naoshi DohmaeBiomolecular Characterization Unit, RIKEN Center for Sustainable Resource Science, Wako, Saitama, Japan.
Hiroki OkunoRIKEN, Nishina Center for Accelerator-Based Science, Wako, Saitama, Japan.
Kazuya TakahashiRIKEN, Nishina Center for Accelerator-Based Science, Wako, Saitama, Japan.
Kazutaka IkedaDepartment of Applied Genomics, Laboratory of Biomolecule Analysis, Kazusa DNA Research Institute, Kisarazu, Chiba, Japan.
Tsutomu TomitaBiobank, National Cerebral and Cardiovascular Center, Suita, Osaka, Japan.
Naoki MatsuokaKobe City Medical Center General Hospital, Kobe, Hyogo, Japan.
Kunitaka MatsuishiKobe City Medical Center General Hospital, Kobe, Hyogo, Japan.
Tetsuro InokumaKobe City Medical Center General Hospital, Kobe, Hyogo, Japan.
Tohru NaganoKobe City Medical Center General Hospital, Kobe, Hyogo, Japan.
Makoto TakeoLaboratory for Organ Regeneration, RIKEN Center for Biosystems Dynamics Research (BDR), Kobe, Hyogo, Japan.
Takashi TsujiOrganTech Inc., Chuo-ku, Tokyo, Japan.ORCID 0000-0002-2230-8052

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, the rapid aging of the population is predicted to become even more severe in the second half of the 21st century. Thus, it is expected to establish a growing expectation for innovative, non-invasive health indicators and diagnostic methods to support disease prevention, care, and health promotion efforts. In this study, we aimed to establish a new health index and disease diagnosis method by analyzing the minerals and free amino acid components contained in hair shaft. We first evaluated the range of these components in healthy humans and then conducted a comparative analysis of these components in subjects with diabetes, hypertension, androgenetic alopecia, major depressive disorder, Alzheimer's disease, and stroke. In the statistical analysis, we first used a student's t test to compare the hair components of healthy people and those of patients with various diseases. However, many minerals and free amino acids showed significant differences in all diseases, because the sample size of the healthy group was very large compared to the sample size of the disease group. Therefore, we attempted a comparative analysis based on effect size, which is not affected by differences in sample size. As a result, we were able to narrow down the minerals and free amino acids for all diseases compared to t test analysis. For diabetes, the t test narrowed down the minerals to 15, whereas the effect size measurement narrowed it down to 3 (Cr, Mn, and Hg). For free amino acids, the t test narrowed it down to 15 minerals. By measuring the effect size, we were able to narrow it down to 7 (Gly, His, Lys, Pro, Ser, Thr, and Val). It is also possible to narrow down the minerals and free amino acids in other diseases, and to identify potential health indicators and disease-related components by using effect size.

Indexed as

Amino AcidsHairAdultAgedAlopeciaAlzheimer DiseaseCase-Control StudiesDiabetes MellitusFemaleHumansHypertensionMajor Depressive DisorderMaleMiddle AgedMineralsStrokeAmino AcidsMinerals

Identifiers

PMID38718028
PMCPMC11078425

What Socratic holds

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LicenceCC BY
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Registered trials

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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 Socratic graph.