The relation between seroprevalence of antibodies against phenolic glycolipid-I among school children and leprosy endemicity in Brazil.

Leprosy control programs would benefit expressively from an easy method to estimate disease prevalence and to assess the effect of leprosy control measures on disease prevalence. Determination of the seroprevalence of antibodies to PGL-I through school children surveys might be a useful indicator of leprosy prevalence at the district level. To investigate whether seropositivity rates could be related to leprosy detection rates and whether seropositivity could be used as a proximal indicator to predict the leprosy incidence in other areas, 7,073 school children in three different leprosy-endemic states in Brazil were tested. The results show a widely varying distribution of seropositivity in the communities independent of the number of leprosy cases detected. Seroprevalence was significantly lower at private schools. No differences in the patterns of seropositivity between ELISA and dipstick were observed. No correlation between leprosy detection rate and seropositivity rates could be established.

A relação entre soroprevalência de anticorpos contra o glicolipídeo fenólico-I entre crianças em idade escolar e endemicidade da hanseníase no Brasil / The relation between seroprevalence of antibodies against phenolic glycolipid-I among school children and leprosy endemicity in Brazil

Os programas de controle da hanseníase se beneficiariam de um método fácil para estimar prevalência e avaliar o impacto das ações de controle na prevalência da doença. A determinação da soroprevalência de anticorpos contra PGL-I através de estudos com crianças em idade escolar foi sugerida como indicador útil da taxa de prevalência da hanseníase a nível municipal.Para investigar se a soropositividade estaria associada aos coeficientes de detecção da hanseníase e se poderia ser usada como indicador da prevalência em outras áreas, 7.073 crianças em três estados endêmicos de hanseníase no Brasil foram testadas. Resultados mostram uma considerável variação da distribuição de soropositividade nas comunidades, independente do número de casos de hanseníase detectados. A soroprevalência foi significativamente menor nos colégios. Nenhuma diferença na distribuição da soropositividade determinada por ELISA ou dipstick foi observada. Nenhuma correlação entre o coeficiente de detecção da hanseníase e soropositividade pôde ser estabelecida.

Leprosy control programs would benefit expressively from an easy method to estimate disease prevalence and to assess the effect of leprosy control measures on disease prevalence. Determination of the seroprevalence of antibodies to PGL-I through school children surveys might be a useful indicator of leprosy prevalence at the district level. To investigate whether seropositivity rates could be related to leprosy detection rates and whether seropositivity could be used as a proximal indicator to predict the leprosy incidence in other areas, 7,073 school children in three different leprosy-endemic states in Brazil were tested. The results show a widely varying distribution of seropositivity in the communities independent of the number of leprosy cases detected. Seroprevalence was significantly lower at private schools. No differences in the patterns of seropositivity between ELISA and dipstick were observed. No correlation between leprosy detection rate and seropositivity rates could be established.

El ML Flow test como técnica de diagnóstico inmediato para programas de control de la lepra: posible impacto sobre la clasificación de los pacientes / No disponible

Objetivo: Evaluar la utilidad de la técnica ML Flow como un instrumento adicional, de tipo serológico, para la clasificación en Brasil, Nepal y Nigeria, 2.632 pacientes de lepra mediante tres métodos: (1) como pacientes multibacilares (MB) o paucibacilares (PB) de acuerdo al número de lesiones (clasificación OMS), (2) mediante la baloscopia y (3) con serología utilizando el ML Flow Test que detecta anticuerpos IgM específicos frente al Mycobacterium leprae PGL-1. Resultados: La proporción de pacientes MB era del 39,5, 35,6 y 19,4% en Brasil, Nepaly Nigeria, respectivamente. La seropositividad mayor fue observada en los pacientes de Nigeria (62,9%), seguido por Brasil (50,8%) y Nepal (35,6%). Los resultados del ML Flor Test y baciloscopia resultaron negativos en el 69,1 y 82,7% de los pacientes PB, mientras que fueron positivos en el 58,6% de los pacientes MB de Brasil y 28,3% de Nepal. En los pacientes MB, tanto los frotis como el ML Flow Test resultaron negativos en el 15,6% de los pacientes de Brasil y 38,3% en Nepal. La evaluación de todos los pacientes PB con el ML Flow para prevenir un posible sub-tratamiento podría incrementar el grupo MB un 18, 11 y 46,2% para Brasil, Nepal y Nigeria, respectivamente. Con el ML Flow Test como único criterio para la clasificación, el incremento resultante sería del 11.3 y 43,5% de pacientes que requerirían tratamiento para la lepra MB en Brasil y Nigeria, respectivamente y una disminución del 3.7% en Nepal. Conclusiones: El test ML Flow puede ser útil para mejorar la clasificación, reducir el riesgo de sub-tratamiento con el consiguiente fracaso terapéutico y minimizar la necesidad de frotis cutáneos (AU)

Objective: To evaluate the use of the ML Flow test as an additional, serological, tool for the classification of new leprosy patients. Design: In Brazil, Nepal and Nigeria, 2.632 leprosy patients were classified by three metods: (1) as multibacillary (MB) or paucibacillary (PB) according to the number of lesions (WHO classification), (2) by slit skin smear examination, and (3) by serology using the ML Flow test detecting IgM antibodies to Mycobacterium leprae-specific phenolic glycolipid-I. Results: The proportion of MB leprosy patients was 39.5, 35,6 and 19,4% in Brazil, Nepal and Nigeria, respectively. The highest seropositivity in patients was observed in Nigeria (62,9%), followed by Brazil (50,8%) and Nepal (35,6%). ML Flow test results and smears were negative in 69.1 and 82,7% of PB patients, while smears were positive in 58.6% of MB patients in Brazil and 28.3% in Nepal. In MB patients, both smears and ML Flow test were negative in 15.6% in Brazil and 38.3% in Nepal. Testing all PB patients with the ML Flow test to prevent under-treatment would increase the MB group by 18, 11 and 46,2% for brazil, Nepal and Nigeria, respectively. Using the ML Flow test as the sole criterion for classification would result in an increase of 11.3 and 43,5% of patients requiring treatment for MB leprosy in Brazil and Nigeria, respectively, and a decrease of 3.7% for Nepal. Conclusions: The ML Flow test could be used to strengthen classification, reduce the risk of under-treatment and minimize the need for slit skin smears (AU)

The ML flow test as a point of care test for leprosy control programmes: potential effects on classification of leprosy patients.

OBJECTIVE: To evaluate the use of the ML Flow test as an additional, serological, tool for the classification of new leprosy patients. DESIGN: In Brazil, Nepal and Nigeria, 2632 leprosy patients were classified by three METHODS: : (1) as multibacillary (MB) or paucibacillary (PB) according to the number of skin lesions (WHO classification), (2) by slit skin smear examination, and (3) by serology using the ML Flow test detecting IgM antibodies to Mycobacterium leprae-specific phenolic glycolipid-I. RESULTS: The proportion of MB leprosy patients was 39.5, 35.6 and 19.4% in Brazil, Nepal and Nigeria, respectively. The highest seropositivity in patients was observed in Nigeria (62.9%), followed by Brazil (50.8%) and Nepal (35.6%). ML Flow test results and smears were negative in 69.1 and 82.7% of PB patients, while smears were positive in 58.6% of MB patients in Brazil and 28.3% in Nepal. In MB patients, both smears and ML Flow tests were negative in 15.6% in Brazil and 38.3%, in Nepal. Testing all PB patients with the ML Flow test to prevent under-treatment would increase the MB group by 18, 11 and 46.2% for Brazil, Nepal and Nigeria, respectively. Using the ML Flow test as the sole criterion for classification would result in an increase of 11.3 and 43.5% of patients requiring treatment for MB leprosy in Brazil and Nigeria, respectively, and a decrease of 3.7% for Nepal. CONCLUSIONS: The ML Flow test could be used to strengthen classification, reduce the risk of under-treatment and minimize the need for slit skin smears.

Risk factors for developing leprosy--a population-based cohort study in Indonesia.

We identified risk factors associated with increased yearly incidence rates of leprosy in five island populations. Age, sex, household size and Mycobacterium leprae-specific antibodies as well as contact factors were studied. Of 94 index patients (patients diagnosed in 2000), 43 (46%) were classified as multibacillary (MB), 17 (19%) were seropositive for PGL-1 [corrected] antibodies and 6 (7%) had M. leprae DNA in nasal swabs as determined by polymerase chain reaction (PCR) testing. All PCR positive patients were also seropositive. Forty-four of 4903 initially symptom free persons developed leprosy within 4 years, giving an incidence rate of 298 per 1000 person-years. Men had a 22 times higher risk [95% confidence interval (CI): 1.2-4.1] of developing leprosy than women. People living in households with more than 7 members had a 3.1 times higher risk (95% CI: 1.3-7.3) than households of 1-4 members. Persons who were seropositive in 2000 had a 3.8 times higher risk (95% CI: 1.1-12.6) than seronegative persons. Household contacts of MB patients had an adjusted hazard ratio (aHR) of 4.6 (95% CI: 1.6-12.9) and household contacts of PCR positive patients an aHR of 9.36 (95% CI: 2.5-34.9) compared with non-contacts. Patients with PCR positive nasal swabs, suggesting nasal excretion of M. leprae, are probably the patients with the highest transmission potential. Since all index patients who were PCR positive were also seropositive, serology seems an adequate tool to identify these patients. Preventing seropositive persons from becoming seropositive and infectious patients might break the chain of transmission.

Genetic, household and spatial clustering of leprosy on an island in Indonesia: a population-based study.

BACKGROUND: It is generally accepted that genetic factors play a role in susceptibility to both leprosy per se and leprosy type, but only few studies have tempted to quantify this. Estimating the contribution of genetic factors to clustering of leprosy within families is difficult since these persons often share the same environment. The first aim of this study was to test which correlation structure (genetic, household or spatial) gives the best explanation for the distribution of leprosy patients and seropositive persons and second to quantify the role of genetic factors in the occurrence of leprosy and seropositivity. METHODS: The three correlation structures were proposed for population data (n = 560), collected on a geographically isolated island highly endemic for leprosy, to explain the distribution of leprosy per se, leprosy type and persons harbouring Mycobacterium leprae-specific antibodies. Heritability estimates and risk ratios for siblings were calculated to quantify the genetic effect. Leprosy was clinically diagnosed and specific anti-M. leprae antibodies were measured using ELISA. RESULTS: For leprosy per se in the total population the genetic correlation structure fitted best. In the population with relative stable household status (persons under 21 years and above 39 years) all structures were significant. For multibacillary leprosy (MB) genetic factors seemed more important than for paucibacillary leprosy. Seropositivity could be explained best by the spatial model, but the genetic model was also significant. Heritability was 57% for leprosy per se and 31% for seropositivity. CONCLUSION: Genetic factors seem to play an important role in the clustering of patients with a more advanced form of leprosy, and they could explain more than half of the total phenotypic variance.

Postgenomic approach to identify novel Mycobacterium leprae antigens with potential to improve immunodiagnosis of infection.

Early detection of Mycobacterium leprae infection is considered an important component of strategies aiming at reducing transmission of infection, but currently available diagnostic tools often lack sufficient sensitivity and specificity to reach this goal. Recent comparative genomics have revealed the presence of 165 M. leprae genes with no homologue in M. tuberculosis. We selected 17 of these genes for further study. All 17 genes were found to be expressed at the mRNA level in M. leprae from infected mice and from a multibacillary leprosy patient. Additional comparative genomic analyses of all currently available mycobacterial genome databases confirmed 12 candidate genes to be unique to M. leprae, whereas 5 genes had homologues in mycobacteria other than M. tuberculosis. Evaluation of the immunogenicity of all 17 recombinant proteins in PBMC from 127 Brazilians showed that five antigens (ML0576, ML1989, ML1990, ML2283, and ML2567) induced significant gamma interferon levels in paucibacillary leprosy patients, reactional leprosy patients, and exposed healthy controls but not in most multibacillary leprosy patients, tuberculosis patients, or endemic controls. Importantly, among exposed healthy controls 71% had no detectable immunoglobulin M antibodies to the M. leprae-specific PGL-I but responded to one or more M. leprae antigen(s). Collectively, the M. leprae proteins identified are expressed at the transcriptome level and can efficiently activate T cells of M. leprae-exposed individuals. These proteins may provide new tools to develop tests for specific diagnosis of M. leprae infection and may enhance our understanding of leprosy and its transmission.

Prevention of leprosy using rifampicin as chemoprophylaxis.

An intervention study was implemented on five Indonesian islands highly endemic for leprosy to determine whether rifampicin can be used as chemoprophylaxis to prevent leprosy. The population was actively screened before the intervention and subsequently once a year for three years. In the control group, no chemoprophylaxis was given. In the contact group, chemoprophylaxis was only given to contacts of leprosy patients and in the blanket group to all eligible persons. The cohort consisted of 3,965 persons. The yearly incidence rate in the control group was 39/10,000; the cumulative incidence after three years was significantly lower in the blanket group (P = 0.031). No difference was found between the contact and the control groups (P = 0.93). Whether this apparent reduced leprosy incidence in the first three years in the blanket group is due to a delayed development of leprosy or a complete clearance of infection needs to be determined.

Population survey to determine risk factors for Mycobacterium leprae transmission and infection.

BACKGROUND: Not every leprosy patient is equally effective in transmitting Mycobacterium leprae. We studied the spatial distribution of infection (using seropositivity as a marker) in the population to identify which disease characteristics of leprosy patients are important in transmission. METHODS: Clinical data and blood samples for anti-M. leprae ELISA were collected during a cross-sectional survey on five Indonesian islands highly endemic for leprosy. A geographic information system (GIS) was used to define contacts of patients. We investigated spatial clustering of patients and seropositive people and used logistic regression to determine risk factors for seropositivity. RESULTS: Of the 3986 people examined for leprosy, 3271 gave blood. Seroprevalence varied between islands (1.7-8.7%) and correlated significantly with leprosy prevalence. Five clusters of patients and two clusters of seropositives were detected. In multivariate analysis, seropositivity significantly differed by leprosy status, age, sex, and island. Serological status of patients appeared to be the best discriminator of contact groups with higher seroprevalence: contacts of seropositive patients had an adjusted odds ratio (aOR) of 1.75 (95% CI 0.922-3.31). This increased seroprevalence was strongest for contact groups living < or =75 m of two seropositive patients (aOR = 3.07; 95% CI 1.74-5.42). CONCLUSIONS: In this highly endemic area for leprosy, not only household contacts of seropositive patients, but also people living in the vicinity of a seropositive patient were more likely to harbour antibodies against M. leprae. Through measuring the serological status of patients and using a broader definition of contacts, higher risk groups can be more specifically identified.

Epidemiology of leprosy on five isolated islands in the Flores Sea, Indonesia.

We conducted a population-based survey on five small islands in South Sulawesi Province (Indonesia) to collect baseline data previous to a chemoprophylactic intervention study aiming at interrupting the transmission of Mycobacterium leprae. Here we describe the present leprosy epidemiology on these geographically isolated islands. Of the 4774 inhabitants living in the study area 4140 were screened for leprosy (coverage: 87%). We identified 96 leprosy patients (85 new and 11 old patients), representing a new case detection rate (CDR) of 205/10 000 and a prevalence rate of 195/10 000. CDRs were similar for males and females. Male patients were more often classified as multibacillary (MB) than women. Of the new patients, 33 (39%) were classified as MB, 16 (19%) as paucibacillary (PB) 2-5 lesions and 36 (42%) as PB single lesion. In this area of high leprosy endemicity leprosy patients were extensively clustered, i.e. not equally distributed among the islands and within the islands among the houses.

Epidemiology of leprosy on five isolated islands in the Flores Sea, Indonesia

We conducted a population-based survey on five small islands in South Sulawesi Province (Indonesia) to collect baseline data previous to a chemoprophylactic intervention study aiming at interrupting the transmission of Mycobacterium leprae. Here we describe the present leprosy epidemiology on these geographically isolated islands. Of the 4774 inhabitants living in the study area 4140 were screened for leprosy (coverage: 87 per cent). We identified 96 leprosy patients (85 new and 11 old patients), representing a new case detection rate (CDR) of 205/10 000 and a prevalence rate of 195/10 000. CDRs were similar for males and females. Male patients were more often classified as multibacillary (MB) than women. Of the new patients, 33 (39 per cent) were classified as MB, 16 (19 per cent) as paucibacillary (PB) 2-5 lesions and 36 (42 per cent) as PB single lesion. In this area of high leprosy endemicity leprosy patients were extensively clustered, i.e. not equally distributed among the islands and within the islands among the houses.

Use of ML dipstick as a tool to classify leprosy patients

Leprosy control services face the problem of leprosy patients being misclassified by the lack of or the poor quality of skinsmear examination services. Misclassification increases the risk of relapse due to insufficient treatment if a multibacillary (MB) patient is classified as paucibacillary (PB), thereby also prolonging the time that the patient is infectious. The World Health Organization (WHO) recommends at present an alternative classification based on the number of skin lesions. Its reliability, however, has been questioned. Our investigation sought to determine the usefulness of the ML Dipstick, a simple field assay to detect IgM antibodies to phenolic glycolipid-I of Mycobacterium leprae, for the classification of leprosy patients in addition to lesion count. In this study, 264 leprosy patients were investigated. Of 130 patients with a positive bacterial index (BI), 19 (14.6%) had less than 6 lesions and would have been classified as PB. Out of 134 patients with a negative BI, 26 (19.4%) had 6 or more lesions and would have been classified as MB patients if the lesion counting system would apply. Thus, the classification based on the number of lesions only was found to be 85% sensitive and 81% specific (using the BI as the gold standard) at detecting MB cases among the studied population. Sensitivity would have increased if patients would have been classified according to a combination of the number of lesions and the dipstick result. In that case patients are classified as MB when they are either dipstick positive (N = 16), have more than 6 lesions (N = 43), or both (N = 94). Patients negative for both dipstick and number of lesions would have been classified as PB (N = 111). The classification based on the number of lesions alone left 19 BI-positive cases classified as PB, while the combination method of the ML Dipstick and number of lesions left only 8 BI-positive cases classified as PB (5 borderline, 2 borderline lepromatous and 1 tuberculoid), thus preventing undertreatment. The combination method of the ML Dipstick and lesion counting was found to be 94% sensitive and 77% specific, which is an improvement of 9% (chi-squared test, p = 0.025) in sensitivity compared to lesion counting only. The results of this study indicate that testing all patients initially classified by lesion counting as PB (48% in our study population) with the dipstick can significantly contribute to improved classification of leprosy patients for treatment purposes.

Seroprevalence rates of antibodies to phenolic glycolipid-I among school children as an indicator of leprosy endemicity

In order to study whether the seroprevalence of antibodies to phenolic glycolipid-I (PGL-I) among school children is a useful indicator of the leprosy problem in certain areas, school surveys were carried out. These surveys have the advantage of targeting an easily accessible, stable and standardized population. Antibodies to the species-specific PGL-I of Mycobacterium leprae were detected in a simple gelatin particle agglutination test. We have determined the seroprevalence rates in 2835 school children from five different areas in three provinces of Sulawesi, Indonesia. Three areas with a case-detection rate of over 3.4/10,000 were designated as high-endemic areas. The other two were designated as low-endemic areas, having a case-detection rate of less than 1/10,000. The seroprevalence rates in the three high-endemic areas ranged from 26% to 28% (95% CI 21%-31%). In both low-endemic areas the seroprevalence rate was 7% (95% CI 5%-10%). In a second survey conducted in one high-endemic area 3 years after the first survey, the seroprevalence rate was the same as in the first survey. These results indicate that seropositivity rates among school children may reflect the leprosy incidence. They illustrate the potential applicability of seroprevalence as an indicator of the magnitude of the leprosy problem in a selected area.

Patient contact is the major determinant in incident leprosy: implications for future control

Notwithstanding the elimination efforts, leprosy control programs face the problem of many leprosy patients remaining undetected. Leprosy control focuses on early diagnosis through screening of household contacts, although this high-risk group generates only a small proportion of all incident cases. For the remaining incident cases, leprosy control programs have to rely on self-reporting of patients. We explored the extent to which other contact groups contribute to incident leprosy. We examined retrospectively incident leprosy over 25 years in a high-endemic village of 2283 inhabitants in Sulawesi, Indonesia, by systematically reviewing data obtained from the local program and actively gathering data through interviews and a house-to-house survey. We investigated the contact status in the past of every incident case. In addition to household contact, we distinguished neighbor and social contacts. Of the 101 incident cases over a 25-year period, 79 (78%) could be associated to contact with another leprosy patient. Twenty-eight (28%) of these 101 cases were identified as household contacts, 36 (36%) as neighbors, and the remaining 15 (15%) as social contacts. Three patients had not had a traceable previous contact with another leprosy patient, and no information could be gathered from 19 patients. The median span of time from the registration of the primary case to that of the secondary case was 3 years; 95% of the secondary cases were detected within 6 years after the primary case. The estimated risk for leprosy was about nine times higher in households of patients and four times higher in direct neighboring houses of patients compared to households that had had no such contact with patients. The highest risk of leprosy was associated with households of multibacillary patients. The risk of leprosy for households of paucibacillary patients was similar to the risk of leprosy for direct neighboring houses of multibacillary patients, indicating that both the type of leprosy of the primary case and the distance to the primary case are important contributing factors for the risk of leprosy. Contact with a leprosy patient is the major determinant in incident leprosy; the type of contact is not limited to household relationships but also includes neighbor and social relationships. This finding can be translated into a valuable and sustainable tool for leprosy control programs and elimination campaigns by focusing case detection and health promotion activities not only on household contacts but also on at least the neighbors of leprosy cases.

Humoral and cellular immune reactivity to recombinant M. leprae antigens in HLA-Typed leprosy patients and healthy controls

In our search for Mycobacterium leprae antigens that might specifically induce immunity or immunopathology, we have tested both humoral and cellular immune reactivity against purified recombinant M. leprae antigens in 29 paucibacillary (PB), 26 multibacillary (MB) leprosy patients, and 47 matched healthy contacts. The following M. leprae antigens were tested: 2L-1 (65L-1, GroEl-1), 2L-2 (65L-2, GroEl-2), 4L (SoDA), 43L, 10L (B) and 25L (Sra). The individuals were also typed for HLAD-RB1 and DQB1 in order to see whether leprosy status and/or immune reactivity to these antigens might be associated with certain HLA types. We also tested sera from another 48 patients before, during and after multidrug therapy (MDT) to study the relationship between antibody reactivity to recombinant M. leprae antigens and MDT. Antibody titers to the four recombinant M. leprae antigens tested and to D-BSA were higher in MB patients compared to PB patients and healthy controls, and declined with treatment. From a diagnostic or monitoring point of view none of the recombinant antigens seemed to be an improvement over D-BSA, mainly due to the lower sensitivity. IgG subclasses were measured in positive sera of untreated patients. These were mainly of the IgG1 and IgG3 subclasses, but subclass diversity was also observed and antigen dependent: all four subclasses could be detected against 10L (B), only IgG1 and IgG3 against 43L and only IgG1 against 25L and 2L-1. Cellular immune reactivity against the purified recombinant M. leprae antigens was measured in a lymphocyte stimulation test (LST). As for M. leprae, there was an inverse correlation between antibody and T-cell reactivity. However, the number of LST responders to recombinant antigens was much lower than to M. leprae. The 43L antigen was recognized most often (19%-24% of individuals tested) and more often than the 10L (B) antigen (10%-12%). No clear correlation was observed with leprosy type or protection and, in general, M. leprae nonresponders were also negative with recombinant antigens. Finally, we confirmed that HLA-DRB1*02 is associated with leprosy in this population, and we observed an association between DQB1*0601 and lepromatous leprosy. The number of positive individuals was too small to allow a meaningful analysis of the relationship between HLA type and immune reactivity. Although these data do not allow a conclusion as to one of these purified recombinant antigens being either protection or disease related, the antigen-dependent IgG subclass diversity warrants further study on antigen-specific qualitative differences in immune reactivity that may be relevant for the outcome of an infection with M. leprae.