Evidence map›Paper›PMID 38650461›Full record

ArticleeLife2024

<sc>A</sc> multi-hierarchical approach reveals <sc>d</sc>-serine as a hidden substrate of sodium-coupled monocarboxylate transporters.

Pattama Wiriyasermkul, Satomi Moriyama, Masataka Suzuki, Pornparn Kongpracha, Nodoka Nakamae, Saki Takeshita, Yoko Tanaka, Akina Matsuda, Masaki Miyasaka, Kenji Hamase and 4 more

Open access · goldAbstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.3field-weighted citation impact, top 22% of its field
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

5 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. d-Alanine, a Circadian Metabolite that Regulates Glucose Metabolism and Viral Infection.Chembiochem : a European journal of chemical biology · 2025
    Review
  4. Article
  5. D-Serine as a sensor and effector of the kidney.Clinical and experimental nephrology · 2023
    Review
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

14 authors at 6 institutions in 1 country.

Pattama WiriyasermkulCenter for SI Medical Research, The Jikei University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-7068-7969
Satomi MoriyamaDepartment of Collaborative Research for Biomolecular Dynamics, Nara Medical University, Nara, Japan.
Masataka SuzukiDepartment of Pharmacology, Keio University School of Medicine, Tokyo, Japan.
Pornparn KongprachaCenter for SI Medical Research, The Jikei University School of Medicine, Tokyo, Japan.
Nodoka NakamaeDepartment of Collaborative Research for Biomolecular Dynamics, Nara Medical University, Nara, Japan.
Saki TakeshitaDepartment of Collaborative Research for Biomolecular Dynamics, Nara Medical University, Nara, Japan.
Yoko TanakaDepartment of Collaborative Research for Biomolecular Dynamics, Nara Medical University, Nara, Japan.
Akina MatsudaDepartment of Pharmacology, Keio University School of Medicine, Tokyo, Japan.
Masaki MiyasakaCenter for SI Medical Research, The Jikei University School of Medicine, Tokyo, Japan.
Kenji HamaseGraduate School of Pharmaceutical Sciences, Kyushu University, Fukuoka, Japan.
Tomonori KimuraKAGAMI Project, National Institutes of Biomedical Innovation, Health and Nutrition, Osaka, Japan.
Masashi MitaKAGAMI Inc, Osaka, Japan.
Jumpei SasabeDepartment of Pharmacology, Keio University School of Medicine, Tokyo, Japan.
Shushi NagamoriCenter for SI Medical Research, The Jikei University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-0203-2754
Jikei University School of Medicine · JPNara Medical University · JPKeio University · JPKagami Crystal (Japan) · JPKyushu University · JPNational Institute of Biomedical Innovation, Health and Nutrition · JP

Funding

Japan Agency for Medical Research and Development JP21ek0310012Japan Agency for Medical Research and Development JP21gm0810010Japan Society for the Promotion of Science JP21H03365Japan Society for the Promotion of Science JP22K06150
6 · The paper itself

Abstract

Transporter research primarily relies on the canonical substrates of well-established transporters. This approach has limitations when studying transporters for the low-abundant micromolecules, such as micronutrients, and may not reveal physiological functions of the transporters. While d-serine, a trace enantiomer of serine in the circulation, was discovered as an emerging biomarker of kidney function, its transport mechanisms in the periphery remain unknown. Here, using a multi-hierarchical approach from body fluids to molecules, combining multi-omics, cell-free synthetic biochemistry, and ex vivo transport analyses, we have identified two types of renal d-serine transport systems. We revealed that the small amino acid transporter ASCT2 serves as a d-serine transporter previously uncharacterized in the kidney and discovered d-serine as a non-canonical substrate of the sodium-coupled monocarboxylate transporters (SMCTs). These two systems are physiologically complementary, but ASCT2 dominates the role in the pathological condition. Our findings not only shed light on renal d-serine transport, but also clarify the importance of non-canonical substrate transport. This study provides a framework for investigating multiple transport systems of various trace micromolecules under physiological conditions and in multifactorial diseases.

Indexed as

Amino Acid Transport System ASCMonocarboxylic Acid TransportersSerineAnimalsBiological TransportHumansKidneyMaleMiceSodiumAmino Acid Transport System ASCMonocarboxylic Acid TransportersSerineSodiumamino acidbiochemistrybiomarkerchemical biologykidney diseasesmicronutrientmousetransporter

Identifiers

PMID38650461
PMCPMC11037918
OpenAlexW4388623280

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.