Table 1 Characteristics of the included BioSamples

From: Distinct infant resistome trajectories shaped by country income and geography revealed through global metagenomics reanalysis

Income group

Country

BioProject

Author (Year)

Mean age, months (SD)

BioSamples (N)

Age group, months (n)

<3

3–6

6–12

>12

Low

   

12.4 (4.9)

105

3

2

53

47

 

Ethiopia

PRJNA50489150

Tett (2019)

10.9 (6.4)

14 (NA)

3

0

5

6

Mozambique

PRJNA74776151

Kim (2022)

12.6 (4.7)

91ʸ

0

2

48

41

Lower middle

   

6.7 (6.4)

319

105

71

39

104

 

Zimbabwe

PRJEB5172864

Robertson (2023)

6.7 (6.4)

319 (157)

105

71

39

104

Upper middle

   

12.6 (5.5)

104

0

7

40

57

 

Russia

PRJNA29038065

Vatanen (2016)

12.6 (5.5)

104 (47)

0

7

40

57

High

   

2.4 (3.5)

1416

1104

122

108

76

 

Estonia

PRJNA29038065

Vatanen (2016)

9.7 (6.5)

76 (48)

11

6

13

46

Finland

PRJNA29038065

Vatanen (2016)

7.6 (5.2)

67 (42)

10

12

18

27

Germany

PRJEB2404166

Korpela (2018)

3.7 (2.7)

11 (NA)

5

3

3

0

Italy

PRJNA33991467

Asnicar (2017)

5.3 (3.5)

8 (5)

5

0

2

1

Luxembourg

PRJEB2404166

Korpela (2018)

9.8 (3.3)

8 (NA)

0

0

6

2

Sweden

PRJEB645614

Backhed (2015)

5 (4.4)

202 (71)

64

72

66

0

UK

PRJEB3263116

Shao (2019)

0.4 (0.2)

918 (451)

918

0

0

0

USA

PRJNA63357668

Casaburi (2021)

5.9 (0)

126ʸ

94

32

0

0

  1. SD standard deviation, NA not available, N number of participants, ʸ number of participants is the same as the number of BioSamples.