| Literature DB >> 23077552 |
Ouafae Lahlou1, Julie Millet, Imane Chaoui, Radia Sabouni, Abdelkarim Filali-Maltouf, Mohammed Akrim, Mohammed El Mzibri, Nalin Rastogi, Rajae El Aouad.
Abstract
BACKGROUND: Tuberculosis (TB) remains a major health problem in Morocco. Characterization of circulating Mycobacterium tuberculosis genotypic lineages, important to understand the dynamic of the disease, was hereby addressed for the first time at a national level. METHODOLOGY/PRINCIPALEntities:
Mesh:
Substances:
Year: 2012 PMID: 23077552 PMCID: PMC3471964 DOI: 10.1371/journal.pone.0047113
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographic and epidemiological data of the studied population from Morocco (n = 592).
| Administrative regions (cities) | Sex-ratio | Mean age(years) | New casesNb (%) | Previously treated cases Nb (%) | Total Nb of cases |
| Gharb-Chrarda-Beni Hssen (Kenitra, Sidi Kacem) | 2.9 | 36.6 | 36 (76.6) | 11 (23.4) | 47 |
| Tanger-Tetouan (Larache, Tetouan, Tanger) | 2.5 | 31.3 | 69 (93.2) | 5 (6.8) | 74 |
| Taza-Al Hoceima-Taounate (Al Hoceima, Taza) | 2.4 | 34.6 | 30 (88.2) | 4 (11.8) | 34 |
| Fes-Boulemane (Fes) | 1.4 | 28.8 | 20 (90.9) | 2 (9.1) | 22 |
| Meknes-Tafilalet (Meknes, Khenifra, Errachidia) | 3.7 | 39.2 | 51 (89.5) | 6 (10.5) | 57 |
| Rabat-Sale-Zemmour-Zaër (Rabat, Sale,Skhirat-Temara, Khemisset) | 2.6 | 37.9 | 86 (93.5) | 6 (6.5) | 92 |
| Grand Casablanca (Casablanca) | 3.5 | 33.1 | 104 (91.2) | 10 (8.8) | 114 |
| Chaouia-Ouardigha (Settat) | 3.5 | 36.7 | 17 (89.5) | 2 (10.5) | 19 |
| Doukhala-Abda (Safi, El Jadida) | 2 | 29.9 | 8 (44.4) | 10 (55.6) | 18 |
| Marrakech-Tensift-Al Haouz (Marrakech, Essaouira) | 1.9 | 36.4 | 102 (93.6) | 7 (6.4) | 109 |
| L’oriental (Oujda) | NA | NA | 1 (100) | 0 | 1 |
| Souss-Massa-Drâa (Inezgane, Ouarzazate) | 0.7 | 35.0 | 5 (100) | 0 | 5 |
| Total | 2.6 | 34.9 | 529 | 63 | 592 |
Administrative regions (and cities) of origin for the 592 patients in the present study.
Male to Female sex ratio.
Significantly lower than other regions of Morocco (p<0.01).
NA: Not Applicable since only 1 patient originated from this region.
Figure 1Geographical distribution of genotypic lineages of M. tuberculosis isolates from Morocco among ten distinct administrative regions (n = 586/592 strains; 6 strains from 3 cities were not shown as pie charts due to their low numbers: Oujda n = 1; Inezgane n = 2; Ouarzazate n = 3).
Asterisk (*) denotes the administrative region of Rabat-Salé-Zemmour-Zaër). The references to color and lineages in this figure are as follows: (i) Haarlem1: SITs 47, 62, 143, 218, 609, 1139, 1155, 2333, 2567, 2 orphans; (ii) Haarlem3: SITs 36, 49, 50, 433, 741, 1135, 1539, 2338, 3077, 3078; (iii) Other Haarlem genotypes: Haarlem2 (SIT2), and Haarlem (1 orphan); (iv) LAM3: SITs 33, 105, 106; (v) LAM4: SIT60, 163, 1 orphan; (vi) LAM9: SITs 42, 161, 162, 177, 492, 731, 737, 770, 822, 866, 1070, 1074, 1075, 1154, 1277, 1832, 1 orphan; (vii) Other LAM genotypes: LAM1 (SITs 964,2372), LAM5 (SITs 93, 1072, 1999,2341), LAM6 (SIT64), LAM10-CAM (SIT61), LAM12-Madrid (SIT209), LAM (SITs 1537,3075, 7 orphans); (viii) S lineage: SIT34, 466, 784, 2516; (ix) ill-defined T: SIT7, 31, 32, 37, 40, 44, 53, 58, 65, 73, 77, 78, 102, 120,164, 244, 291, 334, 373, 751, 926, 1069, 1105, 1580,1626, 1655, 2025, 3073, 3076, 6 orphans; (v) and Other/undefined: these included Beijing (SIT1), CAS1-Delhi (SIT26), BOV_1 (SIT481, 1026), BOV_4-CAPRAE (SIT644), as well as other undefined profiles marked as Unk (unknown) in .
Description of predominant shared-types found in this study and their worldwide distribution in the SITVIT2 database.
| SIT (Clade) Octal Number & Spoligotype Description | Total (%) in study | % in study vs. database | Distribution in Regions with ≥5% of a given SIT | Distribution in countries with ≥5% of a given SIT |
| 33 (LAM3) 776177607760771 ▪▪▪▪▪▪▪▪□□□▪▪▪▪▪▪▪▪▪□□□□▪▪▪▪▪▪▪▪□□□□▪▪▪▪▪▪▪ | 16 (2.70) | 1.55 | AFRI-S 31.52, AMER-S 21.73, AMER-N 15.62, EURO-S 13.39, EURO-W 5.33 | ZAF 31.52, USA 15.42, BRA 8.83, ESP 8.63, ARG 5.53, PER 5.43 |
| 34 (S clade) 776377777760771 ▪▪▪▪▪▪▪▪□□▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪□□□□▪▪▪▪▪▪▪ | 15 (2.53) | 2 | AMER-N 27.96, AFRI-S 20.51, EURO-S 14.91, AMER-S 10.92, EURO-W 7.46 | ZAF 20.51, USA 17.84, ITA 12.25, CAN 9.85, BRA 5.73 |
| 42 (LAM9) 777777607760771 ▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪□□□□▪▪▪▪▪▪▪▪□□□□▪▪▪▪▪▪▪ | 155 (26.18) | 5.62 | AMER-S 28.15, AMER-N 15.36, EURO-S 12.07, AFRI-N 10.40, EURO-W 6.63 | USA 14.38, BRA 9.75, MAR 8.55, COL 7.43, ITA 6.34 |
| 47 (H1) 777777774020771 ▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪□□□□□□▪□□□□▪▪▪▪▪▪▪ | 33 (5.57) | 2.67 | AMER-N 20.81, EURO-W 20.00, EURO-S 13.68, AMER-S 10.36, EURO-E 8.34 | USA 19.27, AUT 10.20, ITA 7.21, BRA 5.83 |
| 50 (H3) 777777777720771 ▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪□▪□□□□▪▪▪▪▪▪▪ | 50 (8.45) | 1.79 | AMER-N 21.79, AMER-S 15.85, EURO-W 15.31, EURO-S 12.59, EURO-E 6.44, AFRI-N 5.15 | USA 21.29, AUT 7.37, ESP 6.58, ITA 5.26 |
| 53 (T1) 777777777760771 ▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪▪□□□□▪▪▪▪▪▪▪ | 60 (10.14) | 1.23 | AMER-N 19.37, AMER-S 14.24, EURO-W 12.62, EURO-S 9.87, ASIA-W 8.56, AFRI-S 6.40 | USA 17.05, ZAF 6.26, ITA 5.05 |
Worldwide distribution is reported for regions with more than 3% of a given SITs as compared to their total number in the SITVIT2 database. The definition of macro-geographical regions and sub-regions (http://unstats.un.org/unsd/methods/m49/m49regin.htm) is according to the United Nations; Regions: AFRI (Africa), AMER (Americas), ASIA (Asia), EURO (Europe), and OCE (Oceania), subdivided in: E (Eastern), M (Middle), C (Central), N (Northern), S (Southern), SE (South-Eastern), and W (Western). Furthermore, CARIB (Caribbean) belongs to Americas, while Oceania is subdivided in 4 sub-regions, AUST (Australasia), MEL (Melanesia), MIC (Micronesia), and POLY (Polynesia). Note that in our classification scheme, Russia has been attributed a new sub-region by itself (Northern Asia) instead of including it among rest of the Eastern Europe. It reflects its geographical localization as well as due to the similarity of specific TB genotypes circulating in Russia (a majority of Beijing genotypes) with those prevalent in Central, Eastern and South-Eastern Asia.
The 3 letter country codes are according to http://en.wikipedia.org/wiki/ISO_3166-1_alpha-3; countrywide distribution is only shown for SITs with ≥5% of a given SITs as compared to their total number in the SITVIT2 database.
Figure 2Minimum spanning tree (MST) showing evolutionary relationships among spoligotypes and lineages observed in Morocco.
The length of the branches indicates the level of changes induced by loss or gain of spoligotype spacers to induce a shift from one allele to another (solid lines, single or 2 spacers changes; dotted lines, 3 or more spacer changes; color of circles shows number of isolates : sky-blue, 1 to 2 isolates; marine blue, 3 to 5 isolates; deep blue, 6 to 10 strains; brown, 11 to 20 strains; and red, >20 strains). Predominant genotypic lineages, sublineages and subsets are shown in distinct colors as follows: Haarlem (subdivided in Haarlem 1 and 3), LAM (subdivided in LAM subsets 1 and 2), S, and T (please refer to text for a detailed description).