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Data · dataset · 2026

Image 1_KLRG1+CD28⁻CD57+ Ag85A-specific CD8+ T cells mark a severity-associated terminal-differentiation imprint in pulmonary tuberculosis.jpeg

Listed in ZivaHub and Deakin Research Online and DMU Figshare — shown once because both records carry DOI 10.3389/fcimb.2026.1938907.s004

Background<p>Pulmonary tuberculosis (PTB) is characterized by prolonged host–pathogen interaction, chronic granulomatous inflammation, and sustained exposure to Mycobacterium tuberculosis (Mtb) antigens.

Description

How Mtb antigen-specific CD8<sup>+</sup> T cell differentiation states relate to clinical disease activity and severity remains incompletely defined. This study investigated the clinical relevance of a terminal differentiation-associated phenotype within Ag85A-specific CD8<sup>+</sup> T cells across clinically defined states of Mtb infection and disease.</p>Methods<p>A total of 124 participants were enrolled, including 55 patients with PTB, 33 individuals with latent tuberculosis infection (LTBI), and 36 healthy controls (HCs).

Peripheral blood mononuclear cells were analyzed by flow cytometry to quantify KLRG1<sup>+</sup>CD28<sup>⁻</sup>CD57<sup>+</sup> cells among HLA-A*02:01-restricted Ag85A<sub>48</sub>-<sub>56</sub> tetramer<sup>+</sup>CD8<sup>+</sup> T cells. Associations with active disease, sputum smear status, clinical severity, selected host-status parameters, and exploratory treatment-related outcomes were assessed.</p>Results<p>Patients with PTB showed a significantly higher proportion of KLRG1<sup>+</sup>CD28<sup>⁻</sup>CD57<sup>+</sup> Ag85A-specific CD8<sup>+</sup> T cells than HCs.

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This phenotype was enriched in active PTB and was associated with clinically relevant features of disease burden, including sputum smear positivity, higher smear grade, lymphocyte imbalance, and severe pulmonary involvement. Patients with severe PTB had higher proportions of this subset than patients with non-severe PTB. In receiver operating characteristic analysis, this phenotype showed exploratory in-cohort discriminative potential for distinguishing severe from non-severe PTB, with an apparent area under the curve of 0.8333 (95% CI, 0.7268–0.9398; P<0.0001); patient-level bootstrap resampling yielded a bias-corrected AUC of 0.8333.</p>Conclusions<p>The accumulation of KLRG1<sup>+</sup>CD28<sup>⁻</sup>CD57<sup>+</sup> Ag85A-specific CD8<sup>+</sup> T cells is closely associated with active and clinically severe PTB.

Rather than establishing a causal mechanism, these findings identify an antigen-specific, terminal differentiation-associated CD8<sup>+</sup> T-cell phenotype as a potential translational immune correlate of disease severity in human Mtb infection. Its discriminative ability should be regarded as preliminary and requires external validation in larger, prospective, and independently recruited cohorts.</p>

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Inferred from text
Disease 75% · Image 75%
Provenance · 3 source records, 19 field assertions
SourceKeyLast seenRaw
ZivaHuboai:figshare.com:article/3403862110 d agoJSON v1
Deakin Research Onlineoai:figshare.com:article/3403862110 d agoJSON v1
DMU Figshareoai:figshare.com:article/3403862110 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[disease].local:disease:diseaseenrichment · zivahub uct ac zakeyword-concept-rules@1.0.0title+description (75%)
concepts[field].anzsrc:field:320203mapping · zivahub uct ac zavocabulary-mapper@1.0.0keywords['Clinical Microbiology']
concepts[field].anzsrc:field:320203mapping · figshare dmu ac ukvocabulary-mapper@1.0.0keywords['Clinical Microbiology']
concepts[field].anzsrc:field:320203mapping · dro deakin edu auvocabulary-mapper@1.0.0keywords['Clinical Microbiology']
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concepts[field].local:field:earth-environmentalmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:earth-environmentalmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
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concepts[field].local:field:life-sciencesmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
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concepts[field].local:field:medicine-healthmapping · zivahub uct ac zaconnector:zivahub_uct_ac_za@1.0.0
concepts[field].local:field:medicine-healthmapping · dro deakin edu auconnector:dro_deakin_edu_au@1.0.0
concepts[field].local:field:medicine-healthmapping · figshare dmu ac ukconnector:figshare_dmu_ac_uk@1.0.0
concepts[modality].local:modality:imageenrichment · zivahub uct ac zakeyword-concept-rules@1.0.0title+description (75%)
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