| Literature DB >> 22719964 |
Dong Wang1, Ling-Yan Su, A-Mei Zhang, Yu-Ye Li, Xiao-An Li, Ling-Ling Chen, Heng Long, Yong-Gang Yao.
Abstract
BACKGROUND: Leprosy is a chronic infectious disease caused by Mycobacterium leprae, an unculturable pathogen with an exceptionally eroded genome. The high level of inactivation of gene function in M. leprae, including many genes in its metabolic pathways, has led to a dependence on host energy production and nutritional products. We hypothesized that host cellular powerhouse--the mitochondria--may affect host susceptibility to M. leprae and the onset of clinical leprosy, and this may be reflected by mitochondrial DNA (mtDNA) background and mtDNA copy number.Entities:
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Year: 2012 PMID: 22719964 PMCID: PMC3377694 DOI: 10.1371/journal.pone.0038848
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Haplogroup frequencies and Pearson’s chi-square test in leprosy patients and controls from Yuxi, Yunnan Province in Southwest China.
| Haplogroup | Controls | Leprosy patients | MB patients | PB patients | |||||||||
| No. | No. |
| OR | 95% CI | No. |
| OR | 95% CI | No. |
| OR | 95% CI | |
| C | 45 | 19 | 0.134 | 1.515 | 0.876–2.620 | 8 | 0.089 | 1.922 | 0.895–4.127 | 10 | 0.416 | 1.336 | 0.663–2.691 |
| Z | 24 | 20 | 0.341 | 0.747 | 0.408–1.365 | 10 | 0.544 | 0.793 | 0.375–1.680 | 10 | 0.339 | 0.694 | 0.327–1.473 |
| CZ | 72 | 39 | 0.436 | 1.175 | 0.783–1.762 | 18 | 0.256 | 1.362 | 0.798–2.326 | 20 | 0.839 | 1.055 | 0.629–1.769 |
| M7b | 39 | 18 | 0.267 | 1.379 | 0.780–2.436 | 12 | 0.807 | 1.086 | 0.560–2.104 | 6 | 0.127 | 1.948 | 0.815–4.655 |
| M7c | 8 | 8 | 0.345 | 0.625 | 0.233–1.675 | 4 | 0.508 | 0.663 | 0.198–2.218 | 4 | 0.485 | 0.582 | 0.174–1.949 |
| M7 | 47 | 27 | 0.703 | 1.099 | 0.676–1.787 | 17 | 0.763 | 0.916 | 0.517–1.622 | 10 | 0.350 | 1.393 | 0.693–2.799 |
| M8a | 17 | 6 | 0.214 | 1.796 | 0.704–4.584 | 2 | 0.185 | 2.867 | 0.658–12.488 | 4 | 1.000 | 1.250 | 0.417–3.750 |
| M9a | 24 | 12 | 0.512 | 1.264 | 0.627–2.549 | 5 | 0.330 | 1.615 | 0.611–4.275 | 7 | 0.992 | 1.004 | 0.428–2.360 |
| M11 | 5 | 4 | 0.740 | 0.784 | 0.210–2.933 | 1 | 1.000 | 1.669 | 0.194–14.344 | 3 | 0.391 | 0.485 | 0.115–2.045 |
| M12 | 6 | 7 | 0.256 | 0.535 | 0.179–1.601 | 2 | 1.000 | 0.999 | 0.200–4.977 | 5 | 0.069 | 0.347 | 0.105–1.146 |
| M25 | 5 | 4 | 0.740 | 0.784 | 0.210–2.933 | 0 | – | – | – | 4 | 0.124 | 0.362 | 0.097–1.360 |
| M71 | 9 | 4 | 0.776 | 1.418 | 0.434–4.628 | 2 | 0.741 | 1.504 | 0.323–7.001 | 2 | 1.000 | 1.322 | 0.284–6.157 |
| M74 | 5 | 4 | 0.740 | 0.784 | 0.210–2.933 | 2 | 1.000 | 0.831 | 0.160–4.309 | 2 | 0.660 | 0.731 | 0.141–3.790 |
| D4 | 100 | 58 | 0.607 | 1.094 | 0.776–1.542 | 37 | 0.558 | 0.886 | 0.592–1.327 | 21 | 0.140 | 1.448 | 0.884–2.371 |
| D5 | 28 | 16 | 0.758 | 1.103 | 0.591–2.058 | 8 | 0.698 | 1.171 | 0.527–2.599 | 7 | 0.703 | 1.178 | 0.508–2.729 |
| D | 128 | 75 | 0.604 | 1.085 | 0.797–1.476 | 45 | 0.733 | 0.938 | 0.648–1.357 | 29 | 0.183 | 1.339 | 0.870–2.059 |
| G | 53 | 38 | 0.520 | 0.868 | 0.564–1.336 | 21 | 0.485 | 0.830 | 0.491–1.402 | 17 | 0.737 | 0.908 | 0.516–1.598 |
| A | 80 | 44 | 0.457 | 1.157 | 0.787–1.700 | 23 | 0.515 | 1.174 | 0.723–1.907 | 21 | 0.638 | 1.128 | 0.682–1.865 |
| N9a | 23 | 13 | 0.757 | 1.115 | 0.560–2.220 | 8 | 0.914 | 0.956 | 0.423–2.162 | 5 | 0.539 | 1.357 | 0.511–3.608 |
| B4 | 100 | 77 | 0.150 | 0.791 | 0.575–1.089 | 44 | 0.098 | 0.724 | 0.494–1.063 | 33 | 0.527 | 0.873 | 0.573–1.330 |
| B5 | 43 | 25 | 0.752 | 1.085 | 0.655–1.798 | 10 | 0.293 | 1.455 | 0.721–2.934 | 15 | 0.549 | 0.831 | 0.454–1.523 |
| B | 148 | 108 | 0.604 | 1.085 | 0.797–1.476 | 57 | 0.302 | 0.836 | 0.595–1.175 | 51 | 0.257 | 0.814 | 0.571–1.162 |
| F1 | 123 | 82 | 0.652 | 0.933 | 0.689–1.263 | 48 | 0.311 | 0.828 | 0.575–1.193 | 34 | 0.746 | 1.070 | 0.711–1.611 |
| F2 | 14 | 14 | 0.210 | 0.622 | 0.294–1.315 | 6 | 0.601 | 0.773 | 0.294–2.031 | 8 | 0.121 | 0.504 | 0.209–1.217 |
| F3 | 8 | 4 | 0.776 | 1.259 | 0.377–4.201 | 4 | 0.508 | 0.663 | 0.198–2.218 | 0 | – | – | – |
| F | 154 | 111 | 0.219 | 0.843 | 0.642–1.107 | 63 | 0.125 | 0.773 | 0.555–1.075 | 48 | 0.658 | 0.922 | 0.643–1.322 |
| R9b | 14 | 4 | 0.222 | 2.219 | 0.727–6.777 | 0 | – | – | – | 4 | 1.000 | 1.026 | 0.335–3.145 |
| R9 | 172 | 117 | 0.456 | 0.904 | 0.694–1.178 | 64 | 0.393 | 0.868 | 0.627–1.201 | 53 | 0.718 | 0.938 | 0.663–1.327 |
| Others | 56 | 32 | 0.658 | 1.106 | 0.707–1.733 | 16 | 0.577 | 1.177 | 0.664–2.087 | 16 | 0.927 | 1.027 | 0.578–1.824 |
P-value was calculated by Pearson’s chi-square test; Fisher's exact test was used when haplogroup occurred in less than five individuals.
Haplogroup occurred in less than four individuals in the entire case or control population and those unassigned M*, N* and R* mtDNAs were pooled together. We presented these nested haplogroups according to their phylogenetic positions, e.g. D contains D4, D5, D6 and D*.
Figure 1Principal component analysis of leprosy patient and control populations from Yuxi and reported Han Chinese populations across China.
(a) PC map of Han regional populations based on mtDNA haplogroup frequencies (>1%). The patient (YuxiCase) and control (YuxiControl) populations from Yuxi were marked by triangles, whereas the reported Han Chinese populations (Zhang et al. [28] and references therein) were marked by open circles. (b) Plot of the haplogroup contribution to the first and second PCs.
Demographic information and mtDNA content in the case and control groups.
| Variable | Yuxi cases (N = 296)a | Wenshan cases (N = 12) | Controls (N = 231) | |||
| No. (%) | mtDNA content (mean ± SD) | No. (%) | mtDNA content (mean ± SD) | No. (%) | mtDNA content (mean ± SD) | |
|
| ||||||
| Male | 224 (75.7) | 64.18±38.30 | 7 (58.3) | 44.41±12.38 | 142 (61.5) | 58.93±19.69 |
| Female | 72 (24.3) | 64.94±36.91 | 5 (41.7) | 55.28±25.52 | 89 (38.5) | 60.31±18.72 |
|
| 0.882 | 0.416 | 0.597 | |||
|
| ||||||
| < mean age | 139 (47.0) | 58.73±33.57 | 7 (58.3) | 42.90±9.14 | 122 (52.8) | 59.14±19.87 |
| > mean age | 157 (53.0) | 69.36±40.83 | 5 (41.7) | 57.39±26.24 | 109 (47.2) | 59.83±18.71 |
|
| 0.015 | 0.293 | 0.786 | |||
|
| ||||||
| MB | 163 (55.4) | 66.97±37.88 | 5 (41.7) | 41.29±12.89 | – | – |
| PB | 131 (44.6) | 61.10±37.98 | 7 (58.3) | 54.41±21.22 | – | – |
|
| 0.187 | 0.250 | – | |||
|
| ||||||
| MDT | 102 (34.6) | 65.51±40.53 | – | – | – | – |
| DDS/RFP | 193 (65.4) | 63.73±36.64 | – | – | – | – |
|
| 0.703 | – | – | |||
The mean age varied in each group of subjects (Mean ± SD, Yuxi case: 61.1±12.3; Wenshan case: 34.5±21.3; Control: 39.9±16.8).
Student's unpaired t test (two-sided) was used to quantify the differences.
Two cases from Yuxi had unclear leprosy types were excluded. All leprosy patients from Wenshan received no treatment prior to blood sample collection.
Figure 2Comparison of the relative mtDNA copy number in leprosy patients (n = 308) and matched healthy controls (n = 231).
Student’s unpaired t test was used to quantify the statistical difference between the leprosy patient and control groups. Leprosy patients were either grouped into multibacillary leprosy (MB) and paucibacillary leprosy (PB) according to the latest WHO case definition [25] or into lepromatous (LL), borderline-lepromatous (BL), mid-borderline leprosy (BB), borderline-tuberculoid (BT), and tuberculoid (TT) based on the Ridley–Jopling classification [24]. One-way analysis of variance (ANOVA) of the mean values was used to analyze the difference of mtDNA copy number among groups (for comparison among MB, PB and control groups, P = 0.089; for comparison among LL, BL, BB, BT, TT and control groups, P = 0.003); the Dunnett’s test was further used for multiple comparisons between any of the two groups. The 12 untreated leprosy samples from Wenshan were marked with stars in MB, PB and case groups, and the two patients with unclear classification were excluded from the analysis when we grouped the patients into MB and PB groups.
Figure 3Relative levels of mtDNA copy number in leprosy patients with different grades of disability.
One-way analysis of variance (ANOVA) of the mean values was used to analyze the difference of mtDNA copy number among groups (with a P value <0.001) and the Dunnett’s test was used for multiple comparisons between any of the two groups.