01.12.2021 | Research article | Ausgabe 1/2021 Open Access

Variation in Mycobacterium tuberculosis population structure in Iran: a systemic review and meta-analysis
- Zeitschrift:
- BMC Infectious Diseases > Ausgabe 1/2021
Publisher’s Note
Background
Methods
Study protocol
Search strategy and selection criteria
Data extraction and quality assessment
First author
|
Location
|
Typing method
|
Year of publication
|
Genotypes
|
Total of genotypes
|
MDR genotypes
|
Sample size
|
STROBE Score
|
Type of sample
|
Nationality
|
---|---|---|---|---|---|---|---|---|---|---|
Amirmozafari [
17]
|
Tehran
|
Spoligo
|
2006
|
CAS- EAI-Beijing-T- Haarlem-MANU
|
CAS:19- EAI:31-Beijing:14-T:39- Haarlem:75-MANU:3-LAM:1-West African:1
|
–
|
439
|
23
|
PTB-EPTB
|
Iranian - Afghan immigrants
|
Ramazanzadeh [
18]
|
Tehran
|
Spoligo
|
2006
|
CAS- EAI-Beijing -T- Haarlem-WestAfrican - LAM
|
CAS:7- EAI:27-Beijing:12-T:36- Haarlem:65-WestAfrican:1- LAM:1
|
–
|
346
|
26
|
PTB-EPTB
|
Iranian
|
Ramazanzadeh [
18]
|
Tehran
|
Spoligo
|
2006
|
CAS- EAI-Beijing -T- Haarlem
|
CAS:1- EAI:4-Beijing: 5-T:6- Haarlem:20
|
–
|
93
|
27
|
PTB-EPTB
|
Afghan immigrants
|
Masjedi [
19]
|
Tehran
|
IS6110-RFLP /Spoligo
|
2008
|
CAS- EAI-Beijing-T- Haarlem-X
|
CAS:38-EAI:71-Beijing:8-T:44-Haarlem:14-X:1
|
Beijing:2-Haarlem:3
|
199
|
26
|
PTB-EPTB
|
Iranian
|
Masjedi [
19]
|
Tehran
|
IS6110-RFLP /Spoligo
|
2008
|
CAS- EAI-Beijing-T- Haarlem-X
|
CAS:12-EAI:19-Beijing:4-T:3-Haarlem:6-X:11
|
Beijing:1-T:1-Haarlem:5
|
59
|
24
|
PTB-EPTB
|
Afghan immigrants
|
Tajeddin [
20]
|
Tehran
|
Spoligo
|
2009
|
CAS- EAI-Beijing-T- Haarlem-U
|
CAS:118-EAI:64-Beijing:15-T:16-Haarlem:13-U:12
|
CAS:7-EAI:8-Beijing:6-T:2- U:2-HaarlemI:3
|
238
|
28
|
PTB
|
Iranian
|
Ramazanzadeh [
21]
|
Tehran
|
Spoligo
|
2009
|
CAS-Beijing-T-Haarlem- MANU-EAI-LAM-West African
|
CAS:18-Beijing:14-T:39-Haarlem:75-MANU:4- EAI:31-LAM:1-West African:1
|
–
|
523
|
30
|
PTB-EPTB
|
Iranian - Afghan immigrants
|
Rohani [
22]
|
Mashhad
|
Spoligo
|
2009
|
CAS-NEW1-Beijing-T-Haarlem- MANU-URAL-EASTMED
|
CAS:6-NEW1:2-Beijing:8-T:2-Haarlem:1-MANU:14-URAL:1-EASTMED:3
|
Beijing:3
|
113
|
25
|
PTB
|
Iranian - Afghan immigrants
|
Ahmadi [
23]
|
Tehran
|
Spoligo
|
2009
|
CAS- EAI-Beijing-T- Haarlem-U-Bovis
|
CAS:55- EAI:39-Beijing:6-T:16- Haarlem:52-U:9-Bovis:2
|
–
|
179
|
24
|
PTB
|
Iranian
|
Ahmadi [
23]
|
Tehran
|
Spoligo
|
2009
|
CAS- EAI-Beijing- Haarlem-U
|
CAS:19- EAI:16-Beijing:7- Haarlem:14-U:3
|
–
|
59
|
22
|
PTB
|
Afghan immigrants
|
Jafarian [
24]
|
Tehran
|
12 loci MIRU-VNTR /Spoligo
|
2010
|
CAS- NEW1-Haarlem-LAM-Uganda
|
CAS:8- NEW1:6-Haarlem:7-LAM:2-Uganda:2
|
0
|
30
|
24
|
PTB
|
Iranian
|
Merza [
25]
|
Tehran
|
Spoligo
|
2010
|
CAS- Beijing- EAI- Haarlem-T- X
|
CAS:169- Beijing: 11- EAI:212- Haarlem:41, T:324-X:16
|
–
|
981
|
30
|
PTB
|
Iranian
|
Merza [
25]
|
Tehran
|
Spoligo
|
2010
|
CAS- Beijing- EAI- Haarlem-T- X
|
CAS:176- Beijing: 76- EAI:174- Haarlem:31, T:67-X:10
|
–
|
634
|
30
|
PTB
|
Afghan immigrants
|
Merza [
25]
|
Tehran
|
Spoligo
|
2010
|
CAS- Beijing- EAI- Haarlem-T- X
|
CAS:12- Beijing: 1- EAI:15- Haarlem:3- T:23-X:2
|
–
|
93
|
22
|
EPTB
|
Iranian
|
Merza [
25]
|
Tehran
|
Spoligo
|
2010
|
CAS- Beijing- EAI- Haarlem-T- X
|
CAS:7- Beijing: 4- EAI:5- Haarlem:2- T:3-X:1
|
–
|
34
|
23
|
EPTB
|
Afghan immigrants
|
Asgharzadeh [
26]
|
Azarbaijan
|
IS6110-RFLP /12 loci MIRU-VNTR
|
2011
|
NEW1-Haarlem-S-Uganda-X- Cameroon-Bovis
|
NEW1:1-Haarlem:1-S:13-Uganda:1-X:1-Cameroon:1-Bovis:15
|
–
|
154
|
26
|
PTB-EPTB
|
Iranian
|
Jafarian [
27]
|
Tehran
|
12 loci MIRU-VNTR
|
2011
|
CAS- NEW1-Beijing-Haarlem-EAI-LAM-Uganda-H37Rv-Bovis
|
CAS:49- NEW1:16- Beijing:14-Haarlem:3-EAI:1-LAM:14-Uganda:28-H37Rv:5-Bovis:10
|
–
|
140
|
26
|
PTB
|
Iranian - Afghan immigrants
|
Zaker Bostanabad [
28]
|
Tehran
|
Spoligo
|
2011
|
CAS- Beijing- EAI- Haarlem-T- U
|
CAS:18- Beijing: 38- U:8-EAI:34- Haarlem:41- T:10
|
CAS:2-Beijing:1-EAI:3-U:1
|
149
|
25
|
PTB
|
Iranian
|
Mozafari [
29]
|
Tehran
|
12/15 loci MIRU-VNTR /Spoligo
|
2012
|
CAS-NEW1-Beijing-Haarlem-LAM-URAL-Uganda-X-S-Camroon-Bovis
|
CAS:22-NEW1:25-Beijing:20-Haarlem:2- LAM:5-URAL:3-Uganda:9-X:1-S:2-Cameroon:1-Bovis:1
|
Beijing:7
|
105
|
27
|
PTB
|
Iranian
|
Haeili [
30]
|
5
provinces
|
Spoligo
|
2013
|
CAS- NEW1- Beijing- Haarlem-T-MANU-LAM-EAI-U-H37Rv
|
CAS:70-NEW1:100-Beijing: 3-T:53-Haarlem:3- MANU:22-LAM:18-EAI:4-U:3-H37Rv:2
|
CAS:1- NEW1:5-Beijing: 3
|
291
|
29
|
PTB-EPTB
|
Iranian
|
Torkaman [
31]
|
Tehran
|
15 loci MIRU-VNTR /Spoligo
|
2014
|
CAS-NEW1-Beijing-Haarlem-URAL-T-MANU-Bovis
|
CAS:15-NEW1:14-Beijing:6-Haarlem:3- T:6-MANU:8-URAL:2-Bovis:3
|
–
|
73
|
26
|
PTB
|
Iranian
|
Torkaman [
31]
|
Tehran
|
15 loci MIRU-VNTR /Spoligo
|
2014
|
CAS-NEW1-Beijing-Haarlem
|
CAS:7-NEW1:7-Beijing:5-Haarlem:1
|
–
|
29
|
24
|
PTB
|
Afghan immigrants
|
Velayati [
32]
|
21
provinces
|
Spoligo
|
2014
|
CAS-Beijing- Haarlem-T-MANU-LAM-EAI-U-X- Bovis
|
CAS:471-EAI:3-Beijing: 101-T:195-Haarlem:326- MANU:25-LAM:15-U:17-Bovis:10-X:2
|
–
|
1242
|
31
|
PTB
|
Iranian- immigrants
|
Varahram [
33]
|
Tehran
|
Spoligo
|
2014
|
CAS-Beijing- Haarlem-T-MANU-LAM-EAI-U
|
CAS:23-EAI:42-Beijing: 14-T:11-Haarlem:31- MANU:9-LAM:3-U:7
|
CAS:1- T:1-EAI:5-Beijing:10- Haarlem:2- MANU:2-LAM:1-U:1
|
151
|
27
|
PTB
|
Iranian - Afghan immigrants
|
Sharifpour [
34]
|
Tehran
|
Spoligo
|
2014
|
CAS-Beijing- Haarlem-T
|
CAS:37-Beijing:11-Haarlem:72-T:18
|
CAS:3-T:3-Beijing:4- Haarlem:3
|
190
|
25
|
PTB
|
Iranian
|
Haeili [
35]
|
IRAN
|
Spoligo
|
2015
|
CAS-NEW1-T-MANU-LAM
|
CAS:60-NEW1:86- T:46- MANU:19-LAM:15
|
–
|
251
|
25
|
PTB
|
Iranian
|
Sharifpour [
36]
|
Tehran
|
RD Typing/Spoligo
|
2016
|
CAS-Beijing- Haarlem-T
|
CAS:54-Beijing:28- Haarlem:85-T:27
|
–
|
250
|
26
|
PTB
|
Iranian
|
Feyisa [
37]
|
Tehran
|
IS6110-RFLP /Spoligo
|
2016
|
CAS- NEW1- Beijing-Haarlem-T-EAI-MANU-LAM-H37Rv
|
CAS:18- NEW1:15- Beijing:1-Haarlem:1-T:7- EAI:4-MANU:3-LAM:1- H37Rv:1
|
–
|
60
|
22
|
PTB
|
Iranian
|
Feyisa [
37]
|
Tehran
|
IS6110-RFLP /Spoligo
|
2016
|
NEW1-T-EAI
|
NEW1:7-T:2- EAI:1
|
–
|
10
|
20
|
PTB
|
Afghan immigrants
|
Zamani [
38]
|
Hormozgan
|
15loci MIRU-VNTR/Spoligo
|
2016
|
CAS-Beijing-NEW1-T-Haarlem-LAM-MANU-EAI
|
CAS:7-Beijing:1-NEW1:2- Haarlem:1-LAM:9- MANU:3-EAI:1-T:5
|
T:2-MANU:1
|
38
|
25
|
PTB
|
Iranian
|
Riyahi Zaniani [
39]
|
Isfahan
|
15loci MIRU-VNTR
|
2017
|
CAS- NEW1- Beijing-URAL- LAM-S-X-EAI
|
CAS:10- NEW1:9- Beijing: 9-URAL:2- LAM:3-S:3-X: 1-EAI:1
|
–
|
38
|
24
|
PTB
|
Iranian
|
Riyahi Zaniani [
39]
|
Isfahan
|
15loci MIRU-VNTR
|
2017
|
CAS- NEW1- Beijing-URAL- LAM-S-X-EAI
|
CAS:4- NEW1:3- Beijing: 3- S:1
|
–
|
11
|
23
|
PTB
|
Afghan immigrants
|
Ravansalar [
40]
|
Khorasan
|
12 loci MIRU-VNTR /Spoligo
|
2017
|
CAS- NEW1- Beijing-T-Haarlem-MANU-U
|
CAS:19-Beijing:9-T:3-Haarlem:67-MANU:1-U:5
|
Beijing:2
|
140
|
25
|
PTB
|
Iranian
|
Mansoori [
41]
|
Golestan
|
24 loci MIRU-VNTR
|
2018
|
CAS- NEW1- Beijing-URAL- Haarlem-TUR
|
CAS:31-NEW1:45-Beijing:18-URAL:4-TUR:2-Haarlem:2
|
0
|
156
|
25
|
PTB-EPTB
|
Iranian
|
Azimi [
42]
|
Tehran
|
15loci MIRU-VNTR
|
2018
|
CAS- NEW1 -WestAfrican - Bovis- H37Rv
|
CAS:1 -NEW1:18-WestAfrican:1 - Bovis: 1- H37Rv: 1
|
–
|
80
|
24
|
PTB
|
Iranian
|
Kargarpour [
43]
|
Tehran
|
Spoligo
|
2018
|
CAS-NEW1-T-MANU
|
CAS:2-NEW1:3-T:1-MANU:5
|
–
|
14
|
25
|
PTB-EPTB
|
Iranian
|
Kochkaksaraei [
44]
|
Golestan
|
15loci MIRU-VNTR
|
2019
|
CAS- NEW1- Beijing-URAL-TUR-Cameroon
|
CAS:15-NEW1:36- Beijing:22-URAL:3-TUR:1-Cameroon:4
|
0
|
162
|
28
|
PTB-EPTB
|
Iranian
|
Hadifar [
45]
|
Tehran
|
24 loci MIRU-VNTR /Spoligo
|
2019
|
CAS- NEW1- Beijing-URAL- T-Haarlem-EASTMED
|
CAS:25-NEW1:21-Beijing:10-URAL:4-T:17-Haarlem:2-EASTMED:4
|
CAS:1-NEW1:1-Beijing:5-T:1
|
84
|
27
|
PTB
|
Iranian
|
Hadifar [
45]
|
Tehran
|
24 loci MIRU-VNTR /Spoligo
|
2019
|
CAS- NEW1- Beijing-URAL- T-Haarlem-EASTMED
|
CAS:21-NEW1:28-Beijing:5-URAL:6-T:22-Haarlem:2-EASTMED:1-U:2
|
CAS:1-NEW1:1
|
88
|
28
|
EPTB
|
Iranian
|
Afaghi-Gharamaleki [
46]
|
Tabriz
|
15loci MIRU-VNTR
|
2019
|
CAS- NEW1 -Beijing-Uganda-LAM-TUR-Cameroon- Bovis- H37Rv
|
CAS:1- NEW1:30- Beijing:4-Uganda:18-LAM:1-TUR:2-Cameroon:1- Bovis:3- H37Rv:1
|
–
|
91
|
27
|
PTB
|
Iranian
|
Hadifar [
47]
|
Tehran
|
24 loci MIRU-VNTR /Spoligo
|
2019
|
CAS- NEW1- Beijing
|
CAS:95-NEW1:80-Beijing:42
|
–
|
217
|
29
|
PTB
|
Iranian
|
Vaziri [
48]
|
Tehran
|
WGS
|
2019
|
CAS- NEW1- Beijing-URAL- T-TUR-H37Rv
|
CAS:7-NEW1:8-Beijing:14- URAL:2- T:4- TUR:1- H37Rv:1
|
Beijing:14
|
38
|
25
|
PTB
|
Iranian
|
Kargarpour [
49]
|
Tehran
|
24 loci MIRU-VNTR
|
2019
|
CAS- NEW1- Beijing- Haarlem-Uganda
|
CAS:5-NEW1:2-Beijing:2-Haarlem:1-Uganda:1
|
–
|
12
|
26
|
PTB
|
Iranian
|
Kargarpour [
50]
|
Tehran
|
24 loci MIRU-VNTR
|
2020
|
CAS- NEW1- Beijing- Haarlem-Uganda
|
CAS:9-NEW1:4-Beijing:5-Haarlem:1-Uganda:1
|
0
|
45
|
28
|
PTB
|
Iranian
|
Statistical analysis
Results
Search results and studies’ characteristics
Quality assessment
Pooled prevalence of MTBC genotypes in the PTB and EPTB samples
Lineage
|
Genotype
|
(n),
Pooled prevalence of MDR%
|
Pooled prevalence of genotype
|
Heterogeneity
|
Publication bias
|
|||
---|---|---|---|---|---|---|---|---|
(n), Prevalence%
|
(95% CI)%
|
Q, I
2%
|
P-value
|
Begg’s
p-value
|
Egger’s
p-value
|
|||
L1
|
EAI
|
(16), 1.17%
|
(799),
12.95%
|
(7.58–19.47)%
|
935, 97.75%
|
< 0.001
|
0.061
|
0.192
|
MANU
|
(3), 0.74%
|
(116), 5.41%
|
(3.03–8.43)%
|
105, 89.58%
|
< 0.001
|
0.06
|
0.17
|
|
L2
|
Beijing
|
(52),
2.52%
|
(481), 8.06%
|
(5.96–10.44)%
|
305, 90.52%
|
< 0.001
|
0.14
|
0.27
|
L3
|
CAS
|
(23),
1.21%
|
(1761),
19.21%
|
(14.95–23.86)%
|
1016, 95.97%
|
< 0.001
|
0.11
|
0.16
|
L4
|
NEW1
|
(7), 0.8%
|
(568),
21.94%
|
(16.41–28.05)%
|
263, 90.89
|
< 0.001
|
0.09
|
0.31
|
T
|
(10), 0.59%
|
(1006),
12.16%
|
(9.18–15.50)%
|
367, 92.65%
|
< 0.001
|
0.089
|
0.216
|
|
Haarlem
|
(13), 0.67%
|
(989), 10.38%
|
(6.62–14.87)%
|
909, 96.59%
|
< 0.001
|
0.054
|
0.116
|
|
Uganda
|
0%
|
(60), 9.04%
|
(3.06–17.74)%
|
53, 88.87%
|
< 0.001
|
0.24
|
0.64
|
|
S
|
0%
|
(19) 6.24%
|
(3.83–9.53)%
|
6, 53.57%
|
0.091
|
0.415
|
0.817
|
|
LAM
|
(1), 0.31%
|
(89), 3.59%
|
(1.85–5.86)%
|
119, 89.08%
|
< 0.001
|
0.052
|
0.095
|
|
URAL
|
0%
|
(27), 3.39%
|
(2.28–4.82)%
|
8.49, 5.83%
|
0.386
|
0.612
|
0.768
|
|
EASTMED
|
0%
|
(8), 3.12%
|
(1.43–5.84)%
|
2, 0%
|
0.393
|
0.78
|
0.81
|
|
X
|
0%
|
(46), 2.03%
|
(0.88–3.64)%
|
55, 83.76%
|
< 0.001
|
0.153
|
0.319
|
|
H37Rv
|
0%
|
(11), 1.78%
|
(0.94–3.05)%
|
5, 1.99%
|
0.403
|
0.419
|
0.778
|
|
TUR
|
0%
|
(6), 1.64%
|
(0.68–3.29)%
|
1.91, 0%
|
0.59
|
0.419
|
0.654
|
|
Cameroon
|
0%
|
(7), 1.64%
|
(0.73–3.15)%
|
1.61, 0%
|
0.656
|
0.69
|
0.78
|
|
L5/6
|
West African
|
0%
|
(4), 0.38%
|
(0.13–0.87)%
|
1.9, 0%
|
0.586
|
0.513
|
0.813
|
Bovis
|
0%
|
(45), 3.29%
|
(1.31–6.13)%
|
45, 84.73%
|
< 0.001
|
0.112
|
0.278
|
|
U
|
(4), 0.53%
|
(66), 3.55%
|
(2.13–5.31)%
|
28, 72.14%
|
< 0.001
|
0.09
|
0.26
|