In one paragraphArticle in bioRxiv : the preprint server for biology, 2025. 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
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 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
5 · Who and what moneyAuthors and funding
13 authors.
Sierra R WilsonDepartment of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0002-7486-7841 Evan R DelgadoDepartment of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0003-2706-0946 Frances AlencastroDepartment of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.
Rosa L LoewensteinDepartment of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.ORCID 0009-0006-0351-9109 Madeleine P LeekDepartment of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.
Leah R PetersDepartment of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.
Kerollos KamelDepartment of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.ORCID 0009-0009-2069-0807 Patrick D WilkinsonDepartment of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0001-6643-8599 Siddhi JainDepartment of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0001-5452-7180 Joseph LockerDepartment of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0002-4190-188X Silvia LiuPittsburgh Liver Research Center, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0002-1840-9520 Bharat BhushanDepartment of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0002-1716-9764 Andrew W DuncanDepartment of Pathology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA.ORCID 0000-0003-4962-4191 Funding
Pittsburgh Liver Research CenterP30DK120531 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Kari N Nejak-Bowen · 2019 to 2026
$10.9MCellular Approaches to Tissue Engineering/RegenerationT32EB001026 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN, ANDREW W, MONGA, SATDARSHAN SINGH · 2003 to 2024
$5.5MMechanisms of Polyploidy and Aneuploidy in the LiverR01DK103645 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DUNCAN, ANDREW W · 2014 to 2023
$4.1MDiverging roles of EGFR and MET in acetaminophen-induced acute liver injuryR01DK135566 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Bharat Bhushan · 2023 to 2026
$1.6MHigh-Throughput Computing for Genomics and Bioinformatics ResearchS10OD028483 · OD · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LEE, ADRIAN V · 2021 to 2021
$574kInvestigating IQGAP1, a scaffold protein, in liver biology and Hepatocellular Carcinoma to overcome barriers in in vivo modelsK22CA258677 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI DELGADO, EVAN R · 2023 to 2025
$538kRole of hepatic ploidy populations in liver injury and compensatory regeneration after acetaminophen overdoseF31DK138803 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WILSON, SIERRA · 2024 to 2024
$49kNCI NIH HHS K22 CA258677NIBIB NIH HHS T32 EB001026NIDDK NIH HHS F31 DK138803NIDDK NIH HHS P30 DK120531NIDDK NIH HHS R01 DK103645NIDDK NIH HHS R01 DK135566NIH HHS S10 OD028483
6 · The paper itselfAbstract
Background & Aims: The liver contains both diploid and polyploid hepatocytes, but their functional differences remain poorly understood. Emerging evidence suggests that each ploidy state contributes to regeneration in an injury-specific manner. We hypothesized that diploid hepatocytes promote healing after acetaminophen (APAP)-induced liver injury. Approach & Results: To study ploidy populations Conclusions: Diploid hepatocytes resist APAP-induced liver injury through reduced JNK activation and mitochondrial damage. These findings highlight hepatocyte ploidy as a key determinant of injury response and suggest a protective role for diploid hepatocytes in promoting liver resilience and regeneration.
Indexed as
acetaminophen (APAP)diploidE2f7/E2f8liver regenerationploidy
Identifiers
PMID40766462
PMCPMC12324546
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