Evidence map›Paper›PMID 40448242›Full record

ArticleFluids and barriers of the CNS2025

Proteome profile differences among human, monkey, and mouse brain microvessels and cultured brain microvascular endothelial cells.

Haruka Kumabe, Takeshi Masuda, Shingo Ito, Tomomi Furihata, Akiko Toda, Masayuki Mogi, Norie Araki, Sumio Ohtsuki

Abstract read
In one paragraph

Article in Fluids and barriers of the CNS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Review
  3. Modulation of miR-23b Wnt/β-catenin Axis Strengthens Endothelial Barrier Properties.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
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  5. Review
  6. Article
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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

8 authors.

Haruka KumabeDepartment of Pharmaceutical Microbiology, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, 862-0973, Japan.
Takeshi MasudaDepartment of Pharmaceutical Microbiology, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, 862-0973, Japan.
Shingo ItoDepartment of Pharmaceutical Microbiology, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, 862-0973, Japan.
Tomomi FurihataLaboratory of Advanced Drug Development Sciences, School of Pharmacy, Tokyo University of Pharmacy and Life Sciences, Tokyo, 192-0392, Japan.
Akiko TodaDrug Safety Research Laboratories, Shin Nippon Biomedical Laboratories, Ltd, Miyanoura, Kagoshima, 891-1394, Japan.
Masayuki MogiDrug Safety Research Laboratories, Shin Nippon Biomedical Laboratories, Ltd, Miyanoura, Kagoshima, 891-1394, Japan.
Norie ArakiDepartment of Tumor Genetics and Biology, Faculty of Life Sciences, Kumamoto University, Kumamoto, 860-8556, Japan.
Sumio OhtsukiDepartment of Pharmaceutical Microbiology, Graduate School of Pharmaceutical Sciences, Kumamoto University, Kumamoto, 862-0973, Japan. sohtsuki@kumamoto-u.ac.jp.

Funding

AMED 24ama121018JPSP KAKENHI 24K02195
6 · The paper itself

Abstract

backgroundThe blood-brain barrier (BBB) expresses transporters, receptors, and tight junction proteins that regulate the exchange of substances between the blood and brain. The differences in the expression of these proteins in the BBB among different species and cultured BBB model cells should be clarified to interpret the BBB function in model animals and cells. This study aimed to elucidate species differences among humans, monkeys, and mice and in vitro-in vivo differences in the BBB proteome using deep proteomic analysis.

methodsBrain microvessels (BMVs) were isolated from frozen cerebral cortices of human and monkey and frozen mouse cerebrums. BMVs and cultured brain microvascular endothelial cells (BMECs), such as hCMEC/D3, HBMEC/ciβ, and primary BMECs, were analyzed via data-independent acquisition using liquid chromatography-mass spectrometry.

resultsProteomics identified 7,149-8,274 proteins in the BMV fractions and 6,657-7,534 proteins in the brain lysates. Comparative analysis revealed distinct proteomic profiles among the three species, with the human profile being more similar to that of monkeys than that of mice. The expression profile of the solute carrier organic anion transporter family was found to vary among mouse, monkey, and human BMVs. The expression levels of SLC22A6/Slc22a6 and SLC22A8/Slc22a8 were higher in mice than in monkeys and humans, whereas SLC43A3/Slc43a3 expression levels were lower in mice. The expression of amino acid transporters, such as SLC7A5 and SLC3A2/Slc3a2, was higher in BMVs, whereas that of SLC1A5/Slc1a5 and SLC38A9/Slc38a9 was higher in cultured BMECs. MFSD2A/Mfsd2a and SLC27A1/Slc27a1 were highly expressed in BMVs. The expression of tight junction proteins, particularly the claudin family, varied between BMVs and cultured BMECs and among cell lines. Specifically, the expression of claudin-5 was higher in BMVs, and claudin-11 expression was higher in cultured BMECs.

conclusionsDeep proteomic analysis revealed species-specific differences in transport-related proteins in the BBB. Furthermore, in vitro and in vivo differences were observed in the transporter and claudin protein expression. This study provides a BBB proteome profile dataset and offers insights for a comprehensive understanding of BBB protein expression across species and between in vivo and in vitro conditions.

Indexed as

Blood-Brain BarrierBrainEndothelial CellsMicrovesselsProteomeAnimalsCells, CulturedHumansMaleMiceMice, Inbred C57BLProteomicsSpecies SpecificityProteomeBrain microvesselsCultured microvascular endothelial cellsHumanMonkeyMouseProteomicsSpecies differencesTransporter

Identifiers

PMID40448242
PMCPMC12124085

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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 OpenQuestion graph.