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New Insights into Leprosy Reactions: Gene Expression Study

Research sheds light on gene activity linked to leprosy reactions.

― 6 min read


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Table of Contents

Leprosy is a skin and nerve disease caused by a bacteria called Mycobacterium leprae. It is a disease that can be treated effectively, but if left untreated, it can cause nerve damage. This is because leprosy affects the peripheral nerves, leading to a variety of symptoms. Over the years, since the introduction of a treatment called multidrug therapy, the number of people with leprosy has dropped significantly, from millions to around 200,000. However, the number of new cases discovered each year has remained steady, which raises some questions about the effectiveness of detection efforts. It is possible that there are more cases out there than reported, due to a decrease in detection activities.

One of the significant challenges in managing leprosy patients involves something called leprosy reactions. These are intense inflammatory episodes that can occur even after successful treatment. The most common type of reaction is known as Type 1 reversal reactions (T1R), which affect about 30% to 50% of leprosy patients. T1R can happen even after the bacteria have been cleared from the body and can lead to further nerve damage and disabilities.

Despite advances in understanding the signs of these reactions at a genetic level, there are still no reliable tests to identify patients who are at risk for T1R. The lack of tools to catch these reactions early is a significant hurdle in treating leprosy effectively. Current efforts on controlling leprosy focus on preventing nerve damage, identifying factors that may lead to T1R, and recognizing patients who might experience these reactions early on.

The Study of Gene Expression

To better understand T1R, researchers conducted a study focusing on how certain genes are expressed when the body encounters M. leprae. By studying changes in RNA, which carries genetic information, researchers aimed to find out if these changes might suggest new ways to treat T1R. The study involved analyzing blood samples from Vietnamese leprosy patients who had recently been diagnosed and were free of T1R symptoms at the time of enrollment. After regular check-ups over three years, some of these patients developed T1R, which allowed researchers to study the differences in gene expression between those who did and those who did not experience these reactions.

Blood samples were processed to extract RNA. The researchers stimulated the blood with M. leprae to see how the RNA changed in response to the bacteria. They used advanced sequencing methods to measure the levels of various RNA transcripts present in the blood. This detailed analysis allowed them to identify which genes were most active and how their activity changed after stimulation, providing insight into the biological response to leprosy.

Key Findings on Gene Expression

The results showed that while the blood cells of both patient groups responded similarly to the M. leprae treatment, there were notable differences in the strength and type of response. Thousands of transcripts showed up-regulation, meaning they were more active after exposure to the bacteria. Up-regulation of genes related to Immune Responses was particularly pronounced in the patients who later developed T1R.

By looking at characteristics of specific genes that were more active, researchers found that the patients who developed T1R had a much higher expression of certain genes involved in inflammatory processes. These findings hinted at a possible biological basis for why some patients are more prone to these damaging reactions following leprosy treatment.

In contrast, patients who did not go on to develop T1R displayed a more balanced immune response, suggesting they may have better-regulated inflammatory responses.

What is Differential Transcript Usage?

In addition to studying gene expression, the researchers also looked at how often different RNA transcripts were used, a concept known as "differential transcript usage" (DTU). Not all RNA from a given gene is used equally. Some genes can produce multiple RNA forms, and the way these forms are expressed can shape the body's response to stimuli.

The study examined if the usage of certain transcripts differed between the two patient groups after stimulation with M. leprae. The researchers found that many transcripts showed differences in usage, and certain immune-related genes had a distinct pattern between the T1R and T1R-free groups.

This analysis allowed researchers to identify which specific forms of genes were more likely to be activated or suppressed, and how these variations were tied to the patients' risk for T1R.

Implications of the Study

The findings suggest that the response to leprosy and the development of T1R can be influenced by both the level of gene expression and the specific usage of different transcripts. Understanding how both factors interact may pave the way for developing better diagnostic tools for predicting who is at risk for T1R before symptoms appear.

Knowing which genes are most active in T1R patients can potentially lead to the discovery of new biomarkers, which are indicators that could be used to identify at-risk patients. Such information is crucial for timely intervention and improved management of leprosy reactions, enhancing patient outcomes.

Moving Forward with Research

Continued research is needed to explore the specific roles that different transcripts and their forms play in the immune response to leprosy. Future studies may focus on why certain patients have a more intense inflammatory response, how their immune systems react differently, and which factors influence the development of T1R.

Understanding the underlying mechanisms could lead to new treatment strategies that target the specific pathways involved in T1R and improve the quality of life for leprosy patients. By combining insights from gene expression, transcript usage, and patient responses, researchers can work towards more effective leprosy management and prevention of T1R incidents.

Conclusion

Leprosy remains a complex disease with significant challenges in management and treatment. The study of gene expression and transcript usage provides valuable insights into how the body reacts to M. leprae and the factors that may contribute to the risk of severe reactions like T1R. By continuing to investigate these areas, researchers can develop better diagnostic tools and treatment strategies to support those affected by leprosy. The ultimate goal is to improve patient care and outcomes, making leprosy more manageable and reducing the incidence of T1R in the future.

Original Source

Title: Type 1 reaction leprosy patients display distinct immune-regulatory capacity before onset of symptoms

Abstract: Leprosy is a chronic disease of the skin and peripheral nerves caused by Mycobacterium leprae. A major public health and clinical problem are leprosy reactions, which are inflammatory episodes that often contribute to nerve damage and disability. Type I reversal reactions (T1R) can occur after microbiological cure of leprosy and affect up to 50% of leprosy patients. Early intervention to prevent T1R and, hence, nerve damage, is a major focus of current leprosy control efforts. In a prospective study, we enrolled and collected samples from 32 leprosy patients before the onset of T1R. Whole blood aliquots were challenged with M. leprae sonicate or media and total RNA was extracted. After a three-year follow-up, the transcriptomic response was compared between cells from 22 patients who remained T1R-free and 10 patients who developed T1R during that period. Our analysis focused on differential transcript (i.e. isoform) expression and usage. Results showed that, at baseline, cells from T1R-destined and T1R-free subjects had no main difference in their transcripts expression and usage. However, the cells of T1R patients displayed a transcriptomic immune response to M. leprae antigens that was significantly different from the one of cells from leprosy patients who remained T1R-free. Transcripts with significantly higher upregulation in the T1R-destined group, compared to the cells from T1R-free patients, were enriched for pathways and GO terms involved in response to intracellular pathogens, apoptosis regulation and inflammatory processes. Similarly, transcript usage analysis pinpointed different transcript proportions in response to the in-vitro challenge of cells from T1R-destined patients. Hence, transcript usage in concert with transcript expression suggested a dysregulated inflammatory response including increased apoptosis regulation in the peripheral blood cells of T1R-destined patients before the onset of T1R symptoms. Combined, these results provided detailed insight into the pathogenesis of T1R. Author SummaryThe prevention and clinical management of type 1 reactions (T1R) remain an important unmet need to reduce nerve damage in leprosy patients. It is not known why 30-50% of leprosy patients will develop T1R. This knowledge gap underlies the need for a better mechanistic understanding of T1R that could lead to biomarker candidates to identify leprosy patients who are at high risk of developing T1R. Here, we used a prospective design in which leprosy patients were enrolled before the onset of T1R.Whole blood samples were obtained at enrollment, aliquots were left unstimulated or were stimulated M. leprae antigens and total RNA was extracted. Patients were followed for three years at which time 10 out of 32 participants had developed T1R. Subsequent transcript expression and usage analyses revealed that groups differed little in their isoform landscape at baseline. Following stimulation, transcriptomic response differences became pronounced. Transcripts with higher response in T1R group preferentially involved genes of intracellular defense and inflammatory pathways. Among these transcripts, non-coding ones had higher frequency in T1R. Our study provided new insights into the T1R pathogenesis by suggesting a role for non-coding transcripts into the immune dysregulations of T1R and providing additional candidate genes and their isoforms to be further investigated.

Authors: Erwin Schurr, W. Correa-Macedo, M. Dallmann-Sauer, M. Orlova, J. Manry, V. M. Fava, N. T. Huong, N. N. Ba, N. Van Thuc, V. H. Thai

Last Update: 2023-12-19 00:00:00

Language: English

Source URL: https://www.medrxiv.org/content/10.1101/2023.12.18.23300119

Source PDF: https://www.medrxiv.org/content/10.1101/2023.12.18.23300119.full.pdf

Licence: https://creativecommons.org/licenses/by/4.0/

Changes: This summary was created with assistance from AI and may have inaccuracies. For accurate information, please refer to the original source documents linked here.

Thank you to medrxiv for use of its open access interoperability.

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