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Meng X, Zheng H, Du J, Wang X, Wang Y, Hu J, Zhao J, Du Q, Gao Y. Interaction of Glycemic Control and Statin Use on Diabetes-Tuberculosis Treatment Outcome: A Nested Case-Control Study. THE CANADIAN JOURNAL OF INFECTIOUS DISEASES & MEDICAL MICROBIOLOGY = JOURNAL CANADIEN DES MALADIES INFECTIEUSES ET DE LA MICROBIOLOGIE MEDICALE 2024; 2024:8675248. [PMID: 38938548 PMCID: PMC11211008 DOI: 10.1155/2024/8675248] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/12/2023] [Revised: 04/14/2024] [Accepted: 06/08/2024] [Indexed: 06/29/2024]
Abstract
This study aims to explore the interaction of glycemic control and statin use on the treatment outcomes of pulmonary tuberculosis-diabetes comorbidity (PTB-DM) patients. A nested case-control study was conducted in a tuberculosis patients' cohort. We defined cases as patients who experienced unfavorable outcomes. Glycemic control was estimated at the baseline. Statin use was obtained from medical records. The multivariate logistic regression models were developed, and the interaction table invented by Andersson was adopted to analyze the interaction of glycemic control and statin use on treatment outcomes. A total of 2,047 patients were included in this study. There was a significant interaction between glycemic control and statin use on the treatment outcomes. Patients with good glycemic control and no statin use (OR = 0.464, 95% CI: 0.360-0.623) had a lower risk of unfavorable outcomes than those with poor glycemic control and statin use (OR = 0.604, 95% CI: 0.401-0.734). Patients with good glycemic control and statin use had the lowest risk of unfavorable outcomes (OR = 0.394, 95% CI: 0.264-0.521). Glycemic control in diabetes-tuberculosis treatment should be paid considerable attention. Patients can benefit from statin use even if they have poor glycemic control. Patients with good glycemic control and statin use can have the best outcomes.
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Affiliation(s)
- Xiangrui Meng
- Center for Data Science in Health and Medicine, School of Public Health, Inner Mongolia Medical University, Hohhot 010110, China
| | - Huiqiu Zheng
- Center for Data Science in Health and Medicine, School of Public Health, Inner Mongolia Medical University, Hohhot 010110, China
| | - Jian Du
- Beijing Chest Hospital, Beijing Tuberculosis and Thoracic Tumor Research Institute, Capital Medical University, Beijing 101149, China
| | - Xuemei Wang
- Center for Data Science in Health and Medicine, School of Public Health, Inner Mongolia Medical University, Hohhot 010110, China
| | - Yanling Wang
- Center for Data Science in Health and Medicine, School of Public Health, Inner Mongolia Medical University, Hohhot 010110, China
| | - Jing Hu
- Center for Data Science in Health and Medicine, School of Public Health, Inner Mongolia Medical University, Hohhot 010110, China
| | - Jing Zhao
- Center for Data Science in Health and Medicine, School of Public Health, Inner Mongolia Medical University, Hohhot 010110, China
| | - Qianqian Du
- Center for Data Science in Health and Medicine, School of Public Health, Inner Mongolia Medical University, Hohhot 010110, China
| | - Yulong Gao
- Department of Infectious Disease Control and Prevention, Inner Mongolia Center for Disease Control and Prevention, Hohhot 010031, China
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Sreelatha S, Nagarajan U, Natarajan S. Protein targets in Mycobacterium tuberculosis and their inhibitors for therapeutic implications: A narrative review. Int J Biol Macromol 2023:125022. [PMID: 37244342 DOI: 10.1016/j.ijbiomac.2023.125022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 05/19/2023] [Accepted: 05/20/2023] [Indexed: 05/29/2023]
Abstract
Advancement in the area of anti-tubercular drug development has been full-fledged, yet, a very less number of drug molecules have reached phase II clinical trials, and therefore "End-TB" is still a global challenge. Inhibitors to specific metabolic pathways of Mycobacterium tuberculosis (Mtb) gain importance in strategizing anti-tuberculosis drug discovery. The lead compounds that target DNA replication, protein synthesis, cell wall biosynthesis, bacterial virulence and energy metabolism are emerging as potential chemotherapeutic options against Mtb growth and survival within the host. In recent times, the in silico approaches have become most promising tools in the identification of suitable inhibitors for specific protein targets of Mtb. An update in the fundamental understanding of these inhibitors and the mechanism of interaction may bring hope to future perspectives in novel drug development and delivery approaches. This review provides a collective impression of the small molecules with potential antimycobacterial activities and their target pathways in Mtb such as cell wall biosynthesis, DNA replication, transcription and translation, efflux pumps, antivirulence pathways and general metabolism. The mechanism of interaction of specific inhibitor with their respective protein targets has been discussed. The comprehensive knowledge of such an impactful area of research would essentially reflect in the discovery of novel drug molecules and effective delivery approaches. This narrative review encompasses the knowledge of emerging targets and promising n that could potentially translate in to the anti-TB-drug discovery.
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Affiliation(s)
- Souparnika Sreelatha
- Department of Biochemistry, ICMR-National Institute for Research in Tuberculosis, Chennai 600031, Tamil Nadu, India
| | - Usharani Nagarajan
- Department of Biochemistry, ICMR-National Institute for Research in Tuberculosis, Chennai 600031, Tamil Nadu, India
| | - Saravanan Natarajan
- Department of Biochemistry, ICMR-National Institute for Research in Tuberculosis, Chennai 600031, Tamil Nadu, India.
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Meregildo-Rodriguez ED, Asmat-Rubio MG, Zavaleta-Alaya P, Vásquez-Tirado GA. Effect of Oral Antidiabetic Drugs on Tuberculosis Risk and Treatment Outcomes: Systematic Review and Meta-Analysis. Trop Med Infect Dis 2022; 7:343. [PMID: 36355885 PMCID: PMC9694577 DOI: 10.3390/tropicalmed7110343] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 10/22/2022] [Accepted: 10/29/2022] [Indexed: 05/10/2024] Open
Abstract
Tuberculosis and diabetes mellitus are two global pandemics and rising public health problems. Recent studies suggest that oral antidiabetic drugs (OADs) could reduce the risk of tuberculosis and improve clinical outcomes. However, the evidence is controversial. Therefore, we aimed to assess the effect of OADs on the risk of tuberculosis and treatment outcomes. We systematically searched for six databases from inception to 31 August 2022. We followed a predefined PICO/PECO strategy and included two randomized controlled trials and sixteen observational studies. This study collects 1,109,660 participants, 908,211 diabetic patients, and at least 13,841 tuberculosis cases. Our results show that metformin decreases the risk of active tuberculosis by 40% (RR 0.60; 95% CI 0.47-0.77) in diabetic patients. In addition, metformin exhibits a dose-response gradient (medium doses reduce the risk of active tuberculosis by 45%, while high doses reduce this risk by 52%). On the other hand, DPP IV inhibitors increase the risk of active tuberculosis by 43% (RR 1.43; 95% CI 1.02-2.02). Subgroup analysis showed that study design and metformin dose accounted for the heterogeneity. We conclude that metformin significantly protects against active tuberculosis among diabetic patients. On the contrary, DPP IV inhibitors could increase the risk of developing active tuberculosis.
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Cellular Immunity of Patients with Tuberculosis Combined with Diabetes. J Immunol Res 2022; 2022:6837745. [PMID: 35692502 PMCID: PMC9177301 DOI: 10.1155/2022/6837745] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2022] [Accepted: 05/19/2022] [Indexed: 12/17/2022] Open
Abstract
Tuberculosis (TB) is one of humanity's three major infectious diseases. Diabetes mellitus (DM) is a metabolic disease characterized by hyperglycemia due to impaired insulin secretion or impaired insulin function. It has been reported that DM is a primary risk factor for TB disease. Given the increasing public health threat to people's health, more and more studies have focused on diabetes complicated by TB. Hyperglycemia can affect the function of human immune cells, promote primary infections and reactivation of TB, and increase the susceptibility and severity of TB. However, the immunological mechanism behind it is still not clear. By reviewing the related articles on tuberculosis complicated with diabetes published in recent years, this paper expounds on the effect of hyperglycemia on innate immunity and adaptive immunity of patients with TB. This review provides new insights for elucidating the immunological mechanism of TB complicated with DM and lays the foundation for finding potential targets for preventing and treating TB combined with DM.
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