# Impact of alcohol reduction on Tuberculosis drug levels, TB adherence and gut microbiome

> **NIH NIH R01** · JOHNS HOPKINS UNIVERSITY · 2022 · $107,881

## Abstract

ABSTRACT
This is a request for supplement to the R01AA027972 titled “Hybrid trial for alcohol reduction among people
with TB and HIV in India (HATHI)”. The proposed study is related to the parent study aim (aim 2) that seeks to
examine the effectiveness of alcohol reduction on TB treatment outcomes. In aim 1 of this supplement, we
propose to assess whether and how the intervention affects TB drug levels during treatment. Further, as one of
the outcomes for aim 2 is TB treatment adherence, we propose to assess adherence through an objective
measures (urine INH dipstick) in addition to the subjective questionnaires already being used in HATHI. In aim
2 of the this supplement, we propose to collect blood and stool samples in order to create a biorepository. This
will allow for future studies (e.g. R01 study) that will further inform aim 2 of the parent study. More specifically,
it will help us understand whether the gut microbiome and metabolome are potential mediators between the
observed relationship between high alcohol intake and adverse TB treatment outcomes. In summary, this
study will supplement the goals of the parent study while adding valuable new avenues for assessments on
potential modifiable mediators.

## Key facts

- **NIH application ID:** 10544859
- **Project number:** 3R01AA027974-03S1
- **Recipient organization:** JOHNS HOPKINS UNIVERSITY
- **Principal Investigator:** GEETANJALI CHANDER
- **Activity code:** R01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $107,881
- **Award type:** 3
- **Project period:** 2020-09-05 → 2025-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10544859

## Citation

> US National Institutes of Health, RePORTER application 10544859, Impact of alcohol reduction on Tuberculosis drug levels, TB adherence and gut microbiome (3R01AA027974-03S1). Retrieved via AI Analytics 2026-05-23 from https://api.ai-analytics.org/grant/nih/10544859. Licensed CC0.

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