| Title |
Longitudinal immune profiles in type 1 leprosy reactions in Bangladesh, Brazil, Ethiopia and Nepal
|
|---|---|
| Published in |
BMC Infectious Diseases, October 2015
|
| DOI | 10.1186/s12879-015-1128-0 |
| Pubmed ID | |
| Authors |
Saraswoti Khadge, Sayera Banu, Kidist Bobosha, Jolien J. van der Ploeg-van Schip, Isabela M. Goulart, Pratibha Thapa, Chhatra B. Kunwar, Krista E. van Meijgaarden, Susan J.F. van den Eeden, Louis Wilson, Senjuti Kabir, Hymonti Dey, Luiz R. Goulart, Janaina Lobato, Washington Carvalho, Yonas Bekele, Kees L.M.C. Franken, Abraham Aseffa, John S. Spencer, Linda Oskam, Tom H.M. Otttenhoff, Deanna A. Hagge, Annemieke Geluk |
| Abstract |
Acute inflammatory reactions are a frequently occurring, tissue destructing phenomenon in infectious- as well as autoimmune diseases, providing clinical challenges for early diagnosis. In leprosy, an infectious disease initiated by Mycobacterium leprae (M. leprae), these reactions represent the major cause of permanent neuropathy. However, laboratory tests for early diagnosis of reactional episodes which would significantly contribute to prevention of tissue damage are not yet available. Although classical diagnostics involve a variety of tests, current research utilizes limited approaches for biomarker identification. In this study, we therefore studied leprosy as a model to identify biomarkers specific for inflammatory reactional episodes. To identify host biomarker profiles associated with early onset of type 1 leprosy reactions, prospective cohorts including leprosy patients with and without reactions were recruited in Bangladesh, Brazil, Ethiopia and Nepal. The presence of multiple cyto-/chemokines induced by M. leprae antigen stimulation of peripheral blood mononuclear cells as well as the levels of antibodies directed against M. leprae-specific antigens in sera, were measured longitudinally in patients. At all sites, longitudinal analyses showed that IFN-γ-, IP-10-, IL-17- and VEGF-production by M. leprae (antigen)-stimulated PBMC peaked at diagnosis of type 1 reactions, compared to when reactions were absent. In contrast, IL-10 production decreased during type 1 reaction while increasing after treatment. Thus, ratios of these pro-inflammatory cytokines versus IL-10 provide useful tools for early diagnosing type 1 reactions and evaluating treatment. Of further importance for rapid diagnosis, circulating IP-10 in sera were significantly increased during type 1 reactions. On the other hand, humoral immunity, characterized by M. leprae-specific antibody detection, did not identify onset of type 1 reactions, but allowed treatment monitoring instead. This study identifies immune-profiles as promising host biomarkers for detecting intra-individual changes during acute inflammation in leprosy, also providing an approach for other chronic (infectious) diseases to help early diagnose these episodes and contribute to timely treatment and prevention of tissue damage. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 25% |
| Bangladesh | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Egypt | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 121 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 14% |
| Student > Bachelor | 15 | 12% |
| Student > Master | 14 | 11% |
| Student > Doctoral Student | 11 | 9% |
| Student > Ph. D. Student | 6 | 5% |
| Other | 24 | 20% |
| Unknown | 36 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 21 | 17% |
| Biochemistry, Genetics and Molecular Biology | 14 | 11% |
| Immunology and Microbiology | 11 | 9% |
| Nursing and Health Professions | 10 | 8% |
| Agricultural and Biological Sciences | 7 | 6% |
| Other | 19 | 15% |
| Unknown | 41 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 April 2016.
All research outputs
#13,449,870
of 22,831,537 outputs
Outputs from BMC Infectious Diseases
#3,348
of 7,678 outputs
Outputs of similar age
#135,143
of 284,642 outputs
Outputs of similar age from BMC Infectious Diseases
#75
of 169 outputs
Altmetric has tracked 22,831,537 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
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We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.