Evidence map›Paper›PMID 38171450›Full record

ReviewThe American journal of pathology2024

Amino Acid Metabolism and Atherosclerotic Cardiovascular Disease.

Sumit Kumar Anand, Theresea-Anne Governale, Xiangyu Zhang, Babak Razani, Arif Yurdagul, Christopher B Pattillo, Oren Rom

Open access · bronzeAbstract readReview
In one paragraph

Review in The American journal of pathology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
6.1field-weighted citation impact, top 3% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  10. CD8Nature reviews. Cardiology · 2026
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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

7 authors at 2 institutions in 1 country.

Sumit Kumar AnandDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana.
Theresea-Anne GovernaleDepartment of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana.
Xiangyu ZhangDivision of Cardiology and Vascular Medicine Institute, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Babak RazaniDivision of Cardiology and Vascular Medicine Institute, Department of Medicine, University of Pittsburgh School of Medicine and University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Arif YurdagulDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana; Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana; Center for Cardiovascular Diseases and Sciences, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana.
Christopher B PattilloDepartment of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana; Center for Cardiovascular Diseases and Sciences, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana. Electronic address: christopher.pattillo@lsuhs.edu.
Oren RomDepartment of Pathology and Translational Pathobiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana; Department of Molecular and Cellular Physiology, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana; Center for Cardiovascular Diseases and Sciences, Louisiana State University Health Sciences Center-Shreveport, Shreveport, Louisiana. Electronic address: oren.rom@lsuhs.edu.
Louisiana State University Health Sciences Center Shreveport · USUniversity of Pittsburgh Medical Center · US

Funding

THE ROLE OF MACROPHAGE LYSOSOMAL BIOGENESIS IN ATHEROSCLEROSISR01HL125838 · NHLBI · WASHINGTON UNIVERSITY · PI RAZANI, BABAK · 2015 to 2025
$4.6M
Dissecting the Impact of Dietary Protein on Macrophage mTOR Signaling and AtherosclerosisR01HL159461 · NHLBI · WASHINGTON UNIVERSITY · PI Bettina Mittendorfer, Babak Razani · 2022 to 2026
$3.3M
Harnessing macrophage lysosomal lipid metabolism in obesity-associated diseasesR01DK131188 · NIDDK · WASHINGTON UNIVERSITY · PI MITTENDORFER, BETTINA, RAZANI, BABAK · 2022 to 2025
$2.6M
Dysregulations in Polyamine Metabolism During AtherosclerosisR01HL167758 · NHLBI · LOUISIANA STATE UNIV HSC SHREVEPORT · PI Arif Yurdagul · 2023 to 2026
$2.2M
Lipidated Amino Acids in Cardiometabolic DiseasesR01DK134011 · NIDDK · LOUISIANA STATE UNIV HSC SHREVEPORT · PI Oren Rom · 2022 to 2026
$2.1M
Cellular Reductive State Regulates ArteriogenesisR01HL139755 · NHLBI · LOUISIANA STATE UNIV HSC SHREVEPORT · PI PATTILLO, CHRISTOPHER BRUCE · 2019 to 2023
$1.8M
Dysregulated Oxalate Metabolism in Cardiometabolic DiseasesR01DK136685 · NIDDK · LOUISIANA STATE UNIV HSC SHREVEPORT · PI Oren Rom · 2023 to 2026
$1.7M
Mechanisms of glycine-based therapy for atherosclerosisR00HL150233 · NHLBI · LOUISIANA STATE UNIV HSC SHREVEPORT · PI ROM, OREN SHALOM · 2021 to 2023
$747k
Processing of Apoptotic Cell-Derived Cargo by Macrophages Continues Efferocytosis and Drives Atherosclerosis RegressionR00HL145131 · NHLBI · LOUISIANA STATE UNIV HSC SHREVEPORT · PI YURDAGUL, ARIF · 2021 to 2023
$747k
Processing of Apoptotic Cell-Derived Cargo by Macrophages Continues Efferocytosis and Drives Atherosclerosis RegressionK99HL145131 · NHLBI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI YURDAGUL, ARIF · 2019 to 2020
$335k
Mechanisms of glycine-based therapy for atherosclerosisK99HL150233 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROM, OREN SHALOM · 2020 to 2021
$207k
BLRD VA I01 BX003415NHLBI NIH HHS K99 HL145131NHLBI NIH HHS K99 HL150233NHLBI NIH HHS R00 HL145131NHLBI NIH HHS R00 HL150233NHLBI NIH HHS R01 HL125838NHLBI NIH HHS R01 HL139755NHLBI NIH HHS R01 HL159461NHLBI NIH HHS R01 HL167758NIDDK NIH HHS R01 DK131188NIDDK NIH HHS R01 DK134011NIDDK NIH HHS R01 DK136685
6 · The paper itself

Abstract

Despite significant advances in medical treatments and drug development, atherosclerotic cardiovascular disease (ASCVD) remains a leading cause of death worldwide. Dysregulated lipid metabolism is a well-established driver of ASCVD. Unfortunately, even with potent lipid-lowering therapies, ASCVD-related deaths have continued to increase over the past decade, highlighting an incomplete understanding of the underlying risk factors and mechanisms of ASCVD. Accumulating evidence over the past decades indicates a correlation between amino acids and disease state. This review explores the emerging role of amino acid metabolism in ASCVD, uncovering novel potential biomarkers, causative factors, and therapeutic targets. Specifically, the significance of arginine and its related metabolites, homoarginine and polyamines, branched-chain amino acids, glycine, and aromatic amino acids, in ASCVD are discussed. These amino acids and their metabolites have been implicated in various processes characteristic of ASCVD, including impaired lipid metabolism, endothelial dysfunction, increased inflammatory response, and necrotic core development. Understanding the complex interplay between dysregulated amino acid metabolism and ASCVD provides new insights that may lead to the development of novel diagnostic and therapeutic approaches. Although further research is needed to uncover the precise mechanisms involved, it is evident that amino acid metabolism plays a role in ASCVD.

Indexed as

AtherosclerosisCardiovascular DiseasesAmino AcidsBiomarkersHumansRisk FactorsAmino AcidsBiomarkers

Identifiers

PMID38171450
PMCPMC10988767
OpenAlexW4390477206

What OpenQuestion holds

Textmetadata
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.