Serum nutritional-metabolic recovery during tuberculosis treatment across BMI-defined undernutrition strata: A longitudinal proteomic reanalysis

Background Tuberculosis remains the leading cause of death from a single infectious agent, and undernutrition is a major modifiable risk factor. Serum proteomics can capture systemic host recovery during therapy, but whether baseline BMI-defined undernutrition alters this trajectory is unclear. Methods We reanalysed processed longitudinal tandem-mass-tag serum proteomics from 30 adults with pulmonary tuberculosis and durable cure sampled at baseline and weeks 8, 17, 26 and 52. Thirteen participants had baseline BMI <18.5 kg/m2 and 17 had BMI >=18.5 kg/m2. Protein-level analyses evaluated baseline differences and week-specific within-participant change; module and recovery-axis models evaluated BMI-by-time interactions, with random-intercept mixed models added as a repeated-measures sensitivity analysis. Three complementary treatment-responsive modules were integrated into an exploratory, nonredundant 36-protein nutritional-metabolic summary axis. Results The reconstructed dataset contained 1,923 quantified features across 150 participant-visits. Inflammatory/acute-phase and metal-handling/nutritional-immunity module scores declined during follow-up, whereas lipid/apolipoprotein-transport, nutritional-carrier and endocrine-immunometabolic scores increased. In the primary week-specific paired-change analyses, no protein-level between-BMI difference in longitudinal change survived false-discovery-rate correction; no curated-module BMI-by-time interaction survived correction. The 36-protein summary axis increased in both BMI strata from week 17 onward. In a random-intercept model without interaction, the BMI <18.5 kg/m2 stratum had a lower average axis score across visits than the BMI >=18.5 kg/m2 comparison stratum, although the confidence interval included zero (difference -1.34, 95% CI -2.76 to 0.08; p = .064). Categorical and continuous BMI-by-time interaction tests did not detect differential axis trajectories. Conclusions Tuberculosis treatment was accompanied by broad longitudinal remodelling of circulating inflammatory and nutritional-metabolic protein systems. An exploratory 36-protein summary axis increased in both baseline BMI strata, while formal interaction tests did not detect BMI-dependent trajectories and remained too imprecise to establish equivalence. BMI should be regarded as an anthropometric proxy rather than a comprehensive measure of nutritional state. The defined axis provides a framework for prospective validation alongside direct measures of body composition, micronutrients, treatment exposure and clinical outcomes.

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Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-10-30
DOI
https://doi.org/10.64898/2026.10.26.761896
Primary Topic
Tuberculosis Research and Epidemiology
Type
preprint
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preprint

Serum nutritional-metabolic recovery during tuberculosis treatment across BMI-defined undernutrition strata: A longitudinal proteomic reanalysis

Payam Nahid, Kennedy Michael Ngowi, Sana Syed, William Evan Johnson et al.
bioRxiv (Cold Spring Harbor Laboratory)
Tuberculosis Research and Epidemiology
preprint

Serum nutritional-metabolic recovery during tuberculosis treatment across BMI-defined undernutrition strata: A longitudinal proteomic reanalysis

Payam Nahid, Kennedy Michael Ngowi, Sana Syed, William Evan Johnson, Scott Kirkland Heysell, Pranay Sinha, Ritah Francis Mutagonda, Megan D. Null, Jon Jacobs, Stellah George Mpagama, Vesla I. Kullaya, Reuben S. Maghembe, Peter M. Mbelele
preprint en

Abstract

Background Tuberculosis remains the leading cause of death from a single infectious agent, and undernutrition is a major modifiable risk factor. Serum proteomics can capture systemic host recovery during therapy, but whether baseline BMI-defined undernutrition alters this trajectory is unclear. Methods We reanalysed processed longitudinal tandem-mass-tag serum proteomics from 30 adults with pulmonary tuberculosis and durable cure sampled at baseline and weeks 8, 17, 26 and 52. Thirteen participants had baseline BMI <18.5 kg/m2 and 17 had BMI >=18.5 kg/m2. Protein-level analyses evaluated baseline differences and week-specific within-participant change; module and recovery-axis models evaluated BMI-by-time interactions, with random-intercept mixed models added as a repeated-measures sensitivity analysis. Three complementary treatment-responsive modules were integrated into an exploratory, nonredundant 36-protein nutritional-metabolic summary axis. Results The reconstructed dataset contained 1,923 quantified features across 150 participant-visits. Inflammatory/acute-phase and metal-handling/nutritional-immunity module scores declined during follow-up, whereas lipid/apolipoprotein-transport, nutritional-carrier and endocrine-immunometabolic scores increased. In the primary week-specific paired-change analyses, no protein-level between-BMI difference in longitudinal change survived false-discovery-rate correction; no curated-module BMI-by-time interaction survived correction. The 36-protein summary axis increased in both BMI strata from week 17 onward. In a random-intercept model without interaction, the BMI <18.5 kg/m2 stratum had a lower average axis score across visits than the BMI >=18.5 kg/m2 comparison stratum, although the confidence interval included zero (difference -1.34, 95% CI -2.76 to 0.08; p = .064). Categorical and continuous BMI-by-time interaction tests did not detect differential axis trajectories. Conclusions Tuberculosis treatment was accompanied by broad longitudinal remodelling of circulating inflammatory and nutritional-metabolic protein systems. An exploratory 36-protein summary axis increased in both baseline BMI strata, while formal interaction tests did not detect BMI-dependent trajectories and remained too imprecise to establish equivalence. BMI should be regarded as an anthropometric proxy rather than a comprehensive measure of nutritional state. The defined axis provides a framework for prospective validation alongside direct measures of body composition, micronutrients, treatment exposure and clinical outcomes.

bioRxiv (Cold Spring Harbor Laboratory)
Rutgers, The State University of New Jersey (US), Boston University (US), Pacific Northwest National Laboratory (US), Muhimbili University of Health and Allied Sciences (TZ), Duke University (US), University of California, San Francisco (US), Environmental Molecular Sciences Laboratory (US), Kilimanjaro Christian Medical Centre (TZ), Rutgers New Jersey Medical School (US), KCMC University (TZ), St. Francis University College of Health and Allied Sciences (TZ), Kilimanjaro Clinical Research Institute (TZ), Duke Clinical Research Institute (US), University of Virginia (US)
Tuberculosis Research and Epidemiology
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