Abstract
Background
Leprosy is an infection by Mycobacterium leprae, which influenced by cellular immunity. Leprosy tends to occur in low socio-economic and nutrition groups. Researchers try to prove the role of nutrition in the pathogenesis of leprosy. Insulin-like growth factor-1 (IGF-1) as a marker of nutritional status shown to play a role in cellular immunity.
Objective
To evaluate the correlation between IGF-1 with bacterial index (BI) on leprosy patients in Bali.
Methods
Cross-sectional study in Sanglah Public General Hospital, Denpasar of patients with paucibacillary (PB) and multibacillary (MB) leprosy were assessed for BI using slit-skin smear. All patients were tested for plasma IGF-1 using chemiluminescent immunometric assay Immulite. All data were analyzed using IBM SPSS ver. 24.0. The study has been approved by local Institutional Review Board with ethical clearance number 2017.02.1.0356.
Results
Our study involved 44 MB and 2 PB leprosy. The common age group affected was between 31~40 years old (23.9%), male (60.9%), and normal body mass index (BMI) (65.2%). Mean plasma IGF-1 level in PB leprosy was higher (91.07±0.74 ng/ml) than MB (82.74±6.44 ng/ml). The mean IGF-1 level decreases as BI increases in both groups (CI 95%=81.16~85.04; p<0.001). Pearson correlation test shows strong negative correlation (Pearson r=−0.976; p<0.001) with determinant coefficient (R2) showing 95.2% (p<0.001).
Conclusion
In Balinese leprosy patients, severity of disease status measured by BI were found to be strongly correlated with the plasma IGF-1 level which may help preventing transmission in household contacts by improving nutritional status.
Keywords: Bacterial index, Insulin like growth factor 1, Leprosy
INTRODUCTION
Leprosy is a chronic infectious disease, which remains a problem especially in developing countries. Social stigma of leprosy plays a role in low case findings in several countries1. Until 2016, Indonesia still holds rank three as the country with the most new case findings, after India and Brazil with 17.202 new cases2. According to the report from Bali Provincial Health Department in 2013 found 84 new case of leprosy, mainly multibacillary type3. The infection of Mycobacterium leprae influenced by virulence factors of bacteria and host factors, which comprise of genetic and immune factors. Cellular immunity status of individuals contributes to the disease status of leprosy patients. Epithelial integration, immunoglobulin A (IgA), natural killer (NK) cell, cytotoxic T-lymphocyte and macrophage are the first barrier which protect the body from M. leprae infection4. This immune response against leprosy is expressed on macrophage through 4 pathways, the toll-like receptor 1 and 2 (TLR1/2) pathway, the tumor growth factor β (TGF-β) pathway, the tumor necrosis factor α (TNF-α) pathway and vitamin D receptor pathway5. The high incidence of leprosy on low socio-economic group could express the possible role of nutrition in the pathogenesis of leprosy. A study done by Wagenaar et al.6 in Bangladesh showed the high prevalence of leprosy in group with lack of food materials and on malnutrition group. These groups also showed the low consumption of high protein meat and fish. Other study by Fontana et al.7 and Livingstone provided that Insulin-like growth factor-1 (IGF-1) level decreases on individuals who consume low protein and calories food compared to the normal population8.
Association between immune system and neuroendocrine system had been proven to play a role in homeostasis of host adaptive response to stress and infection. Study done by Smith9 and Rodrigues et al.10 support this on leprosy patients where IGF-1 affect the macrophage through the TNF-α pathway.
This study was done to see the change of IGF-1 plasma level in leprosy patients may influence the status disease shown by the change in bacterial index examination.
MATERIALS AND METHODS
This study was a cross-sectional analysis of 46 leprosy patients attending our Leprosy Subdivision polyclinic over a period of 3 months. The patients were evaluated according to clinical examination and slit skin smear for bacterial index examination. The patient were asked to fill the informed consent and this study has been approved by the local Institutional Review Board (IRB) with ethical clearance number of 2017.02.1.0356.
Blood samples were collected from all leprosy patients, provided that all subjects fulfill the inclusion and exclusion criteria. We excluded patients who were taking corticosteroid, non-steroidal anti-inflammatory drugs (NSAIDs) and hormonal contraception or who have finished antileprotic treatment, which can alter the result of this study. The plasma blood was collected in sterile test tubes and was measured for IGF-1 using chemiluminescent immunometric assay kit (Immulite; Siemens Healthineers, Erlangen, Germany) which follows the World Health Organization International Reference Reagent (WHO-IRR).
Statistical analysis was done using IBM SPSS Statistics for Macintosh (Stratified Program for Social Science) ver. 24.0 (IBM Corp., Armonk, NY, USA). Unpaired t-test was used to measure the comparison. Pearson correlation was used to measure the correlation between the quantitative variables. The data with p-value<0.05 was considered significant.
RESULTS
This study included 46 leprotic subjects consisting of 44 multibacillary (MB) type leprosy and 2 paucibacillary (PB) type leprosy. There were 28 male subjects (60.9%) and 18 female subjects (39.1%) involved in this study with age ranged from 11 to 70 years old (mean±standard deviation [SD]=42.85±16.10). Slit skin smear examination was negative or bacterial index of 0 in 9 subjects (19.6%) with the mean on all subjects 3.22±1.78 ng/ml. Leprosy subjects in this study were more in the normal body mass index (BMI) group (65.2%) compared to the obesity group (2.2%). The characteristic of subjects can be seen in (Table 1).
Table 1. Distribution of subjects by age, sex, body mass index (BMI), leprosy type, and bacterial index (BI).
| Variable/category | Value |
|---|---|
| Age group (yr) | |
| 11~20 | 2 (4.3) |
| 21~30 | 10 (21.7) |
| 31~40 | 11 (23.9) |
| 41~50 | 5 (10.9) |
| 51~60 | 8 (17.4) |
| 61~70 | 10 (21.7) |
| Sex | |
| Male | 28 (60.9) |
| Female | 18 (39.1) |
| BMI | |
| Underweight (<18.5 kg/m2) | 0 (0) |
| Normal (18.5~22.9 kg/m2) | 30 (65.2) |
| Overweight (23~24.9 kg/m2) | 7 (15.2) |
| Pre-obese (25~29.9 kg/m2) | 8 (17.4) |
| Obese (≥30 kg/m2) | 1 (2.2) |
| Leprosy type | |
| Paucibacillary | 2 (4.3) |
| Multibacillary | 44 (95.7) |
| BI | |
| BI 0 | 9 (19.6) |
| BI +1 | 11 (23.9) |
| BI +2 | 6 (13.0) |
| BI +3 | 10 (21.7) |
| BI +4 | 9 (19.6) |
| BI +5 | 1 (2.2) |
| BI +6 | 0 (0) |
Values are presented as number (%).
Leprosy subjects showed significantly lower IGF-1 plasma level (83.10±6.52 ng/ml) compared to the normal range on Immulite (150~400 ng/ml). On comparing IGF-1 plasma level according to the BMI group, the obese group shows lower level (72.83 ng/ml) than the normal group (83.55±6.10 ng/ml) (Table 2). The MB leprosy subjects showed a lower mean level of plasma IGF-1 level (82.74±6.44 ng/ml) than the PB leprosy subjects (91.07±0.74 ng/ml) with statistically significance difference (p<0.001).
Table 2. Comparison of insulin-like growth factor-1 (IGF-1) plasma level based on body mass index (BMI).
| BMI | IGF-1 (ng/ml) | p-value |
|---|---|---|
| Underweight (<18.5 kg/m2) | 0 | 0.012* |
| Normal (18.5~22.9 kg/m2) | 83.55±6.10 | |
| Overweight (23~24.9 kg/m2) | 81.20±7.34 | |
| Pre-obese (25~29.9 kg/m2) | 84.33±7.21 | |
| Obese (≥30 kg/m2) | 72.83 |
Values are presented as mean±standard deviation. *Significance being taken at p<0.05.
Regarding the plasma level of IGF-1 on different bacterial index revealed a decrease of IGF-1 plasma level as the bacterial index on skin slit smear increases. The subjects with bacterial index of +5 has the lowest level of plasma IGF-1 (68.75 ng/ml) and subjects with negative (0) bacterial index has the highest level (91.93±1.23 ng/ml) with p-value<0.001 (Table 3).
Table 3. Comparison of insulin-like growth factor-1 (IGF-1) plasma level based on bacterial index.
| Bacterial index | IGF-1 (ng/ml) | p-value |
|---|---|---|
| 0 | 91.93±1.23 | <0.001* |
| +1 | 87.76±0.94 | |
| +2 | 81.83±1.73 | |
| +3 | 79.13±1.59 | |
| +4 | 75.42±1.24 | |
| +5 | 68.75 | |
| +6 | 0 |
Values are presented as mean±standard deviation. *Significance being taken at p<0.05.
Negative correlation was seen between plasma level of IGF-1 and bacterial index, where statistically significant (r=−0.976; p<0.001) (Fig. 1). Linear regression was done to identify the strength of bacterial index have on IGF-1 plasma level with coefficient determination of 95.2% (p<0.001).
Fig. 1. Correlation of insulin-like growth factor-1 (IGF-1) plasma level and bacterial index.
DISCUSSION
Neuroendocrine involvement in leprosy has shown to play a role in pathogenesis of leprosy, especially from the immune aspect of the disease.
The most common sex affected in our setting is male followed by female with 11 years old as the youngest subject and 70 years old as the oldest (mean 42.85±16.10 years old). This finding is in concordance of the previous work done by Kumar et al.11 in India with mean age of paucibacilarry leprosy 35.1±16.9 years old and MB leprosy 43.3±17.2 years old. Another study done in Brazil found that leprosy tend to happen on adults compare to children below 15 years old, this believed to be caused by the long incubation time of this infection12. A study done by Varkevisser et al.13 in Indonesia, Nigeria, Nepal, and Brazil found similar results with our study where male had higher proportion than female in leprosy subjects. This might be caused by some cultural beliefs that female need permissions by their husbands or families to go to a doctor for examination and also male tend to be more afraid to lose their social and economical status which makes them looking for treatment. Higher mobility and social stigma in those countries may also contribute to the higher case found in male13.
This study found that IGF-1 might be influenced by BMI which statistically significant (p=0.012). The obese group has the lowest IGF-1 plasma level at 72.83 ng/ml compared to the normal BMI group. This finding is supported by the study done by Faupel-Badger et al.14 that found there is a decrease in level IGF-1 with an increase of BMI on Caucasians, dark-skinned and Hispanic groups. The mechanism of this decrease is not clear but there might be a defect on growth hormone secretion on obese patients, which could improve by body weight reduction or growth hormone injection15,16.
The level of IGF-1 is influenced by the nutrition that people took, which might explain the high incidence of leprosy in low income and malnourish groups. This is supported by the clinical study by Gallinetti et al.17 that found low protein diet, which mainly found on vegetarian group has a lower level of IGF-1. The experimental study on mice also support this data where as the group which given low protein diets compared to the high protein group, has 35% lower level of IGF-118.
This study found that IGF-1 plasma level on MB type leprosy is significantly lower than the PB group (p<0.001). This data is consistent with the decrease of IGF-1 plasma level as the bacterial index increase, which could help in evaluation of disease status of leprosy. In our study subjects with negative (0) bacterial index had the highest IGF-1 plasma level (91.93±1.23 ng/ml) and subject with bacterial index +5 had the lowest (68.75 ng/ml). The correlation Pearson study show a strong correlation between IGF-1 plasma level and bacterial index (r=−0.976; p<0.001). This data similar to the study by Rodrigues et al.19 where borderline lepromatous (BL) and lepromatous leprosy (LL) subjects has significantly lower level of IGF-1 compared to borderline tuberculoid (BT) subjects. The mechanism of how IGF-1 may influenced the bacterial index of leprosy patients is on the effect on cellular immunity. Study by Walsh et al.20 found that IGF-1 could increase level of CD4+ and CD8+ T-cell, help the survival, proliferation, chemotaxis and maturation of T-cell, also prevent T-cell apoptosis. Another study showed the effect of IGF-1 on antibody expression mainly in increasing number of B-cell21. Smith9 found that not only T-cell and B-cell affected by IGF-1 but also macrophage and granulocyte, which might help explain why subjects with lower IGF-1 plasma level have higher bacterial index, due to the lower status of immunity.
ACKNOWLEDGMENT
We thank Sanglah General Public Hospital, Denpasar for letting us conduct our study program.
Footnotes
CONFLICTS OF INTEREST: The authors have nothing to disclose.
FUNDING SOURCE: None.
DATA SHARING STATEMENT
The data that support the findings of this study are available from the corresponding author upon reasonable request.
References
- 1.Lastória JC, Abreu MA. Leprosy: review of the epidemiological, clinical, and etiopathogenic aspects- part 1. An Bras Dermatol. 2014;89:205–218. doi: 10.1590/abd1806-4841.20142450. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Schreuder PA, Noto S, Richardus JH. Epidemiologic trends of leprosy for the 21st century. Clin Dermatol. 2016;34:24–31. doi: 10.1016/j.clindermatol.2015.11.001. [DOI] [PubMed] [Google Scholar]
- 3.Directorate General of Disease Prevention and Control Ministry of Health Republic of Indonesia. National Guidelines of Leprosy Control Program. Jakarta: Directorate General of Disease Prevention and Control Ministry of Health Republic of Indonesia; 2015. pp. 10–13. [Google Scholar]
- 4.Modlin RL. The innate immune response in leprosy. Curr Opin Immunol. 2010;22:48–54. doi: 10.1016/j.coi.2009.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Goulart LR, Goulart IM. Leprosy pathogenetic background: a review and lessons from other mycobacterial diseases. Arch Dermatol Res. 2009;301:123–137. doi: 10.1007/s00403-008-0917-3. [DOI] [PubMed] [Google Scholar]
- 6.Wagenaar I, van Muiden L, Alam K, Bowers R, Hossain MA, Kispotta K, et al. Diet-related risk factors for leprosy: a case-control study. PLoS Negl Trop Dis. 2015;9:e0003766. doi: 10.1371/journal.pntd.0003766. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Fontana L, Klein S, Holloszy JO. Long-term low-protein, low-calorie diet and endurance exercise modulate metabolic factors associated with cancer risk. Am J Clin Nutr. 2006;84:1456–1462. doi: 10.1093/ajcn/84.6.1456. [DOI] [PubMed] [Google Scholar]
- 8.Livingstone C. The insulin-like growth factor system and nutritional assessment. Scientifica (Cairo) 2012;2012:768731. doi: 10.6064/2012/768731. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Smith TJ. Insulin-like growth factor-I regulation of immune function: a potential therapeutic target in autoimmune diseases? Pharmacol Rev. 2010;62:199–236. doi: 10.1124/pr.109.002469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Rodrigues LS, da Silva Maeda E, Moreira ME, Tempone AJ, Lobato LS, Ribeiro-Resende VT, et al. Mycobacterium leprae induces insulin-like growth factor and promotes survival of Schwann cells upon serum withdrawal. Cell Microbiol. 2010;12:42–54. doi: 10.1111/j.1462-5822.2009.01377.x. [DOI] [PubMed] [Google Scholar]
- 11.Kumar A, Girdhar A, Chakma JK, Girdhar BK. WHO multidrug therapy for leprosy: epidemiology of default in treatment in Agra district, Uttar Pradesh, India. Biomed Res Int. 2015;2015:705804. doi: 10.1155/2015/705804. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Nobre ML, Illarramendi X, Dupnik KM, Hacker MA, Nery JA, Jerônimo SM, et al. Multibacillary leprosy by population groups in Brazil: lessons from an observational study. PLoS Negl Trop Dis. 2017;11:e0005364. doi: 10.1371/journal.pntd.0005364. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Varkevisser CM, Lever P, Alubo O, Burathoki K, Idawani C, Moreira TM, et al. Gender and leprosy: case studies in Indonesia, Nigeria, Nepal and Brazil. Lepr Rev. 2009;80:65–76. [PubMed] [Google Scholar]
- 14.Faupel-Badger JM, Berrigan D, Ballard-Barbash R, Potischman N. Anthropometric correlates of insulin-like growth factor 1 (IGF-1) and IGF binding protein-3 (IGFBP-3) levels by race/ethnicity and gender. Ann Epidemiol. 2009;19:841–849. doi: 10.1016/j.annepidem.2009.08.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Alderete TL, Byrd-Williams CE, Toledo-Corral CM, Conti DV, Weigensberg MJ, Goran MI. Relationships between IGF-1 and IGFBP-1 and adiposity in obese African-American and Latino adolescents. Obesity (Silver Spring) 2011;19:933–938. doi: 10.1038/oby.2010.211. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Calle EE, Kaaks R. Overweight, obesity and cancer: epidemiological evidence and proposed mechanisms. Nat Rev Cancer. 2004;4:579–591. doi: 10.1038/nrc1408. [DOI] [PubMed] [Google Scholar]
- 17.Gallinetti J, Harputlugil E, Mitchell JR. Amino acid sensing in dietary-restriction-mediated longevity: roles of signal-transducing kinases GCN2 and TOR. Biochem J. 2013;449:1–10. doi: 10.1042/BJ20121098. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Levine ME, Suarez JA, Brandhorst S, Balasubramanian P, Cheng CW, Madia F, et al. Low protein intake is associated with a major reduction in IGF-1, cancer, and overall mortality in the 65 and younger but not older population. Cell Metab. 2014;19:407–417. doi: 10.1016/j.cmet.2014.02.006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Rodrigues LS, Hacker MA, Illarramendi X, Pinheiro MF, Nery JA, Sarno EN, et al. Circulating levels of insulin-like growth factor-I (IGF-I) correlate with disease status in leprosy. BMC Infect Dis. 2011;11:339. doi: 10.1186/1471-2334-11-339. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Walsh PT, Smith LM, O'Connor R. Insulin-like growth factor-1 activates Akt and Jun N-terminal kinases (JNKs) in promoting the survival of T lymphocytes. Immunology. 2002;107:461–471. doi: 10.1046/j.1365-2567.2002.01525.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Clark R. The somatogenic hormones and insulin-like growth factor-1: stimulators of lymphopoiesis and immune function. Endocr Rev. 1997;18:157–179. doi: 10.1210/edrv.18.2.0296. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data that support the findings of this study are available from the corresponding author upon reasonable request.

