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ArticleMolecular biology reports2026

ASAP1 as a novel dual-level biomarker for tuberculosis: integrated genetic and proteomic evidence for early detection and disease monitoring.

Faheem Shahzad, Shah Jahan, Ahsan Waheed Rathore, Fasihat Ul Ain, Atia Ali, Mohammad Kashif, Ali Ammar, Romeeza Tahir, Nadeem Afzal

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Article in Molecular biology reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

9 authors.

Faheem ShahzadInstitute of Allied Health Sciences, University of Health Sciences, Lahore, Pakistan. faheems@uhs.edu.pk.
Shah JahanInstitute of Allied Health Sciences, University of Health Sciences, Lahore, Pakistan.
Ahsan Waheed RathoreUniversity of Health Sciences, Lahore, Pakistan.
Fasihat Ul AinDepartment of Immunology, University of Health Sciences, Lahore, Pakistan.
Atia AliDepartment of Immunology, University of Health Sciences, Lahore, Pakistan.
Mohammad KashifDepartment of Immunology, University of Health Sciences, Lahore, Pakistan.
Ali AmmarDepartment of Human Genetics, University of Health Sciences, Lahore, Pakistan.
Romeeza TahirDepartment of Immunology, University of Health Sciences, Lahore, Pakistan.
Nadeem AfzalDepartment of Immunology, University of Health Sciences, Lahore, Pakistan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTuberculosis (TB) remains a major global health challenge, with limitations in current diagnostics prompting interest in host-derived biomarkers. This study evaluated the role of ASAP1, a regulator of actin cytoskeleton remodeling and dendritic cell migration, as a genetic and molecular biomarker for TB. A case–control cohort comprising 164 TB patients and 85 healthy controls was analyzed for two intronic ASAP1 single-nucleotide polymorphisms (SNPs), rs4733781 (A > C) and rs10956514 (G > A), along with peripheral blood mRNA expression and serum protein levels. METHODOLOGY AND

resultsGenotypic analysis revealed no significant differences in allele frequencies between groups; however, rs4733781 was significantly associated with TB under the dominant genetic model (OR = 1.95, 95% CI = 1.08–3.53, p = 0.04). Haplotype analysis identified a C–G–A–G configuration as more frequent in TB cases (OR = 15.78, p = 0.02). Expression quantitative trait loci (eQTL) data confirmed genotype-dependent variation in ASAP1 transcript levels. In this cohort, qPCR demonstrated markedly elevated ASAP1 mRNA expression in TB patients versus controls (mean 9.39-fold vs 1.26-fold; p < 0.001; AUC = 0.84), with a threshold of 5.134-fold yielding 75.0% sensitivity and 100% specificity. ELISA measurements showed higher serum ASAP1 protein levels in TB patients without rifampicin resistance compared to controls (median 137.61 vs. 65.71 ng/mL; p = 0.002; AUC = 0.64). The “either-positive” combination of mRNA and protein thresholds improved sensitivity to 92.1% while maintaining 85.5% specificity, whereas the “both-positive” rule achieved perfect specificity but lower sensitivity (51.3%).

conclusionProtein–protein interaction analysis linked ASAP1 to immune regulatory and cytoskeletal proteins, supporting its functional relevance in TB pathogenesis. These findings suggest that ASAP1, at both transcript and protein levels, is a promising candidate for inclusion in biomarker panels, with potential applications in confirmatory diagnosis and high-yield screening strategies. Further validation in larger, diverse, and longitudinal cohorts is warranted.

Indexed as

Adaptor Proteins, Signal TransducingTuberculosisAdultBiomarkersCase-Control StudiesEarly DiagnosisFemaleGene FrequencyGenetic Predisposition to DiseaseGenotypeHaplotypesHumansMaleMiddle AgedPolymorphism, Single NucleotideProteomicsAdaptor Proteins, Signal TransducingASAP1 protein, humanBiomarkersASAP1BiomarkersGene expressionMulti-omicsTuberculosis

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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.