Article in Journal of immunology (Baltimore, Md. : 1950), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
0numbers the graph read from it
0cells of the map it votes in
3citing 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.
Valentina GuerriniPublic Health Research Institute, Rutgers Biomedical and Health Sciences, Newark, NJ, United States.
Brendan PrideauxDepartment of Neurobiology, University of Texas Medical Branch, Galveston, TX, United States.
Rehan KhanPublic Health Research Institute, Rutgers Biomedical and Health Sciences, Newark, NJ, United States.ORCID 0000-0001-6035-4159
Selvakumar SubbianPublic Health Research Institute, Rutgers Biomedical and Health Sciences, Newark, NJ, United States.
Yina WangPublic Health Research Institute, Rutgers Biomedical and Health Sciences, Newark, NJ, United States.ORCID 0000-0003-1909-728X
Evita SadiminSection of Urologic Pathology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States.
Siddhi PawarPublic Health Research Institute, Rutgers Biomedical and Health Sciences, Newark, NJ, United States.
Rahul UkeyPublic Health Research Institute, Rutgers Biomedical and Health Sciences, Newark, NJ, United States.ORCID 0000-0002-0354-7496
Eric A SingerSection of Urologic Oncology, Rutgers Cancer Institute of New Jersey and Rutgers Robert Wood Johnson Medical School, New Brunswick, NJ, United States.
Chaoyang XuePublic Health Research Institute, Rutgers Biomedical and Health Sciences, Newark, NJ, United States.ORCID 0000-0001-8196-1468
Maria Laura GennaroPublic Health Research Institute, Rutgers Biomedical and Health Sciences, Newark, NJ, United States.ORCID 0000-0003-4801-3567
Funding
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DIANE BODURKA · 1985 to 2026
$290.8M
TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
NJ ACTS: A Platform for Translational Science in New JerseyUM1TR004789 · NCATS · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Reynold Alexander Panettieri · 2024 to 2026
$16.8M
Mechanisms of vaccine protection against AIDS-associated Cryptococcus infectionR01AI141368 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Amariliz Rivera, Chaoyang Xue · 2019 to 2026
$5.4M
The role of inositol in Cryptococcus biology and pathogenesisR01AI123315 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Chaoyang Xue · 2017 to 2026
$5.0M
Foam cells as drug targets in tuberculosisR01HL149450 · NHLBI · RBHS-NEW JERSEY MEDICAL SCHOOL · PI GENNARO, MARIA LAURA, KARAKOUSIS, PETROS C · 2019 to 2022
$3.9M
Trained immunity and the regulation of anti-fungal defenseR01AI169769 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Amariliz Rivera, Chaoyang Xue · 2022 to 2026
$3.1M
Role of phospholipids in antifungal drug resistance in Cryptococcus neoformansR01AI155647 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI Chaoyang Xue · 2022 to 2026
$2.8M
Cohort and biomarkers for COVID-19 severity, natural history, and reinfectionR01AI158911 · NIAID · RUTGERS BIOMEDICAL AND HEALTH SCIENCES · PI BARRETT, EMILY S, BLASER, MARTIN J · 2021 to 2023
$2.6M
Cancer Prevention and Research Institute of TexasHigh Impact High Risk RP190669MD Anderson Research Histology Core LaboratoryNCATS NIH HHS UM1 TR004789NCI NIH HHS P30 CA016672NCI NIH HHS P30 CA072720NHLBI NIH HHS R01 HL149450NIAID NIH HHS R01 AI123315NIAID NIH HHS R01 AI141368NIAID NIH HHS R01 AI155647NIAID NIH HHS R01 AI158911NIAID NIH HHS R01 AI169769NIH HHS P30CA072720NIH HHS R01AI155647NIH HHS R01 AI158911NIH HHS R01AI169769NIH HHS R01 HL149450NIH HHS R01 HL149450-S1NIH HHS UM1TR004789NJ ACTSThe University of Texas MD Anderson Cancer Center P30CA016672University of Texas MD Anderson Cancer Center P30CA016672
6 · The paper itself
Abstract
Foam cells are dysfunctional, lipid-laden macrophages associated with chronic inflammation of diverse origin. The long-standing paradigm that foam cells are cholesterol-laden derives from atherosclerosis research. We previously showed that, in tuberculosis, foam cells surprisingly accumulate triglycerides. Here, we utilized bacterial (Mycobacterium tuberculosis), fungal (Cryptococcus neoformans), and human papillary renal cell carcinoma (pRCC) models to address the need for a new explanation of foam cell biogenesis. We applied mass spectrometry-based imaging to assess the spatial distribution of storage lipids relative to foam-cell-rich areas in lesional tissues, and we characterized lipid-laden macrophages generated under corresponding in vitro conditions. The in vivo data and the in vitro findings showed that cryptococcus-infected macrophages accumulate triglycerides, while macrophages exposed to pRCC-conditioned-medium accumulated both triglycerides and cholesterol. Moreover, Cryptococcus- and Mycobacterium-infected macrophages accumulated triglycerides in different ways. Collectively, the data show that the molecular events underlying foam cell formation are specific to disease and microenvironment. Since foam cells are potential therapeutic targets, recognizing that their formation is disease-specific opens new biomedical research directions.
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 Socratic graph.
Cryptococcosis, tuberculosis, and a kidney cancer fail to fit the atherosclerosis paradigm for foam cell lipid content. · full record | Socratic