Evidence map›Paper›PMID 42368172›Full record

ArticleFrontiers in tuberculosis2026

Immunometabolic reprogramming of

Vaishnavi Kaipilyawar, Samantha Leong, Arianne Lovey, Lorenzzo L Stringari, Reynaldo Dietze, Jerrold J Ellner, Rodrigo Ribeiro-Rodrigues, Padmini Salgame

Abstract read
In one paragraph

Article in Frontiers in tuberculosis, 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 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Vaishnavi KaipilyawarDepartment of Medicine, Center for Emerging Pathogens, Rutgers New Jersey Medical School, Newark, NJ, United States.
Samantha LeongDepartment of Medicine, Center for Emerging Pathogens, Rutgers New Jersey Medical School, Newark, NJ, United States.
Arianne LoveyDepartment of Medicine, Center for Emerging Pathogens, Rutgers New Jersey Medical School, Newark, NJ, United States.
Lorenzzo L StringariNúcleo de Doenças Infecciosas, Universidade Federal do Espirito Santo, Vitória, Brazil.
Reynaldo DietzeNúcleo de Doenças Infecciosas, Universidade Federal do Espirito Santo, Vitória, Brazil.
Jerrold J EllnerDepartment of Medicine, Center for Emerging Pathogens, Rutgers New Jersey Medical School, Newark, NJ, United States.
Rodrigo Ribeiro-RodriguesNúcleo de Doenças Infecciosas, Universidade Federal do Espirito Santo, Vitória, Brazil.
Padmini SalgameDepartment of Medicine, Center for Emerging Pathogens, Rutgers New Jersey Medical School, Newark, NJ, United States.

Funding

Validation and Application of a Model for Human-like TB Latency in RabbitsU19AI111276 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI ALLAND, DAVID, ELLNER, JERROLD J. · 2014 to 2020
$23.3M
Program in Infection, Immunity and InflammationT32AI125185 · NIAID · RBHS-NEW JERSEY MEDICAL SCHOOL · PI SALGAME, PADMINI · 2016 to 2020
$747k
NIAID NIH HHS T32 AI125185NIAID NIH HHS U19 AI111276
6 · The paper itself

Abstract

Introduction: Memory CD4 Methods: We characterized the transcriptomic, metabolic, and functional programs of Mycobacterium tuberculosis (Mtb) antigen-stimulated peripheral CD4 Results: We identified a differentiation gradient associated with distinct immunometabolic states. T-SCM and T-CM subsets exhibited elevated mitochondrial activity and oxidative metabolism (fatty acid oxidation), supporting their proliferative capacity. In contrast, T-TM and T-EM subsets underwent glycolytic reprogramming and engaged the pentose phosphate pathway, which fueled enhanced cytokine production and Mtb growth restriction. Importantly, we observed that non-progressors exhibit fatty acid oxidation-driven, stem/central memory-like signatures, while progressors and active TB cases display elevated exhaustion markers, glycolytic reprogramming and pro-inflammatory profiles aligned with disease progression. Conclusion: Collectively, findings from our proof-of-concept study suggest metabolic state as a key axis connecting Mtb antigen-induced memory T cell differentiation, restimulation-induced transcriptional programming, and durability of immune control. The findings provide the basis for future longitudinal studies to examine the dynamic metabolic and functional modulation in Mtb antigen-specific memory T cell subsets from contained infection to disease progression.

Indexed as

central memory (T) CMeffector memory (T) EMimmunometabolismlatent TB (LTBI)memory CD4+ T cell subsetsstem cell memory (T) SCMtransitional memory (T) TMtuberculosis

Identifiers

PMID42368172
PMCPMC13299550

What OpenQuestion holds

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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.