Evidence map›Paper›PMID 31048245›Full record

ReviewRedox biology2019

Metabolic programming of macrophage functions and pathogens control.

Sue-Jie Koo, Nisha J Garg

Abstract readReview
In one paragraph

Review in Redox biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 90 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
90citing papers in PubMed, 1 pooled it
–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

90 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
  14. Single-Cell Insights Into Macrophage Subtypes in Pulmonary Infections.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Review
  15. Article
  16. Review
  17. Article
  18. Article
  19. Journal of fungi (Basel, Switzerland) · 2025
    Article
  20. Review

30 more citing papers are in PubMed but not listed here.

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

2 authors.

Sue-Jie KooDepartment of Pathology, University of Texas Medical Branch (UTMB), Galveston, TX, USA.
Nisha J GargDepartment of Microbiology & Immunology, UTMB, Galveston, TX, USA; Institute for Human Infections and Immunity, UTMB, Galveston, TX, USA. Electronic address: nigarg@utmb.edu.

Funding

Oxidative Response Networks in Chagasic CardiomyopathyR01AI136031 · NIAID · UNIVERSITY OF TEXAS MED BR GALVESTON · PI Nisha Jain Garg · 2017 to 2026
$3.6M
Pathogenesis of Oxidative Stress in Chagasic MyocarditisR01AI054578 · NIAID · UNIVERSITY OF TEXAS MEDICAL BR GALVESTON · PI GARG, NISHA JAIN · 2005 to 2016
$3.3M
NIAID NIH HHS R01 AI054578NIAID NIH HHS R01 AI136031
6 · The paper itself

Abstract

Macrophages (Mφ) are central players in mediating proinflammatory and immunomodulatory functions. Unchecked Mφ activities contribute to pathology across many diseases, including those caused by infectious pathogens and metabolic disorders. A fine balance of Mφ responses is crucial, which may be achieved by enforcing appropriate bioenergetics pathways. Metabolism serves as the provider of energy, substrates, and byproducts that support differential Mφ characteristics. The metabolic properties that control the polarization and response of Mφ remain to be fully uncovered for use in managing infectious diseases. Here, we review the various metabolic states in Mφ and how they influence the cell function.

Indexed as

Energy MetabolismHost-Pathogen InteractionsAnimalsBiomarkersDisease SusceptibilityHumansMacrophage ActivationMacrophagesMetabolic DiseasesBiomarkers

Identifiers

PMID31048245
PMCPMC6488820

What Socratic 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 Socratic graph.