Bacterial load and transforming growth factor-beta: Predicting the extent of lung damage in pulmonary tuberculosis patients

doi:10.5493/wjem.120424

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 16, Issue 3

This Article

(3)

(0)

(29)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Experimental Medicine

ISSN

2220-315x

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

Observational Study

Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.

World J Exp Med. Sep 20, 2026; 16(3): 120424
Published online Sep 20, 2026. doi: 10.5493/wjem.120424

Full Size Figure Download Figure

Figure 1 Flow diagram.

Citation: Kandi PN, Iskandar MH, Putrawan HA, Mubin RH, Bakri S, Kasim H, Alimuddin S, Rusman RD, Seweng A. Bacterial load and transforming growth factor-beta: Predicting the extent of lung damage in pulmonary tuberculosis patients. World J Exp Med 2026; 16(3): 120424
URL: https://www.wjgnet.com/2220-315x/full/v16/i3/120424.htm
DOI: https://dx.doi.org/10.5493/wjem.120424

Kandi PN, Iskandar MH, Putrawan HA, Mubin RH, Bakri S, Kasim H, Alimuddin S, Rusman RD, Seweng A. Bacterial load and transforming growth factor-beta: Predicting the extent of lung damage in pulmonary tuberculosis patients. World J Exp Med 2026; 16(3): 120424 [DOI: 10.5493/wjem.120424]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.