In one paragraphArticle in Biomolecules, 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 itWhat 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 registryThe 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 literatureWho cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
4 · The recordCorrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what moneyAuthors and funding
9 authors.
Andrew KimDepartment of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea.ORCID 0009-0007-3441-4753 Ara ChoDepartment of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea.ORCID 0009-0004-6244-4106 Jiyeon KimDepartment of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea.
Leandro Val SaysonUimyung Research Institute for Neuroscience, Department of Pharmacy, Sahmyook University, 815 Hwarang-ro, Nowon-gu, Seoul 01795, Republic of Korea.
Hyun Ju LeeDepartment of Pediatrics, Hanyang University College of Medicine, Seoul 04763, Republic of Korea.ORCID 0000-0002-9110-2963 Jae Hoon CheongInstitute for New Drug Development, School of Pharmacy, Jeonbuk National University, 567 Baekje-daero, Deokjin-gu, Jeonju-si 54896, Republic of Korea.
Hee Jin KimUimyung Research Institute for Neuroscience, Department of Pharmacy, Sahmyook University, 815 Hwarang-ro, Nowon-gu, Seoul 01795, Republic of Korea.ORCID 0000-0002-7686-7167 Bung Nyun KimDepartment of Psychiatry and Behavioral Science, College of Medicine, Seoul National University, 101 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea.ORCID 0000-0002-2403-3291 Eugene C YiDepartment of Molecular Medicine and Biopharmaceutical Sciences, Graduate School of Convergence Science and Technology, Seoul National University, 103 Daehak-ro, Jongno-gu, Seoul 03080, Republic of Korea.ORCID 0000-0002-0615-7397 Funding
Ministry of Education 5120200513755Ministry of Education RS-2023-00245859Ministry of Science and ICT 2020M3E5D9080791Ministry of Science and ICT NRF-2022R1A2C2091831
6 · The paper itselfAbstract
Autism Spectrum Disorder (ASD) is a biologically heterogeneous neurodevelopmental condition, presenting a major barrier to the identification of robust and translatable molecular biomarkers. Here, we employ a cross-species proteomic framework to identify conserved protein signatures associated with ASD. Quantitative proteomic profiling of brain and serum from
Indexed as
Autism Spectrum DisorderMembrane ProteinsNerve Tissue ProteinsProteomeAnimalsBiomarkersHumansMachine LearningMaleMiceMice, KnockoutProteomicsBiomarkersCNTNAP2 protein, mouseMembrane ProteinsNerve Tissue ProteinsProteomeAutism Spectrum Disorderbiomarkerscross-species validationmachine learningproteomics
Identifiers
PMID41897278
PMCPMC13024648
What OpenQuestion holds
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