Seventy publications (22.4%) were reviews or metaanalyses. Five publications (1.6%) were experimental, whereby treatment and controls were applied to both singly infected and coinfected groups. A majority of the relevant publications concerned coinfections by two pathogen species (249 of 309, 80.5%), but more pathogen species per individual were occasionally reported; the mean number of pathogens was 2.4 and a maximum of 13 pathogens was reported twice in a venous leg ulcer29 and a periodontal infection.30 A

total of 270 pathogen taxa were reported in coinfection publications from 2009, across 1265 reports of coinfections comprising http://www.selleckchem.com/products/Rapamycin.html 933 different pairs of coinfecting pathogen taxa. All pathogen types (viruses, bacteria, protozoa, fungal parasites, helminths) were reported in coinfections; the most common pathogen group was bacteria (Table 1). In terms of specific pairs of reported coinfecting pathogens there was high diversity, but HIV and hepatitis viruses featured relatively highly (Table 1). Effects of coinfection on pathogen abundance and host health were sampled across 173 suitable publications according to pathogen abundance and host health. These publications covered 827 coinfecting pairs of pathogens, involving 183 pathogen species. Among these coinfections, 203 (24.5%) measured the size or direction of effects on

pathogen abundance and 191 (23.1%) measured the size or direction of effects on host health. Alectinib manufacturer The remainder of coinfections had no reports of the effects of coinfection in suitable publications. Overall, positive effects of coinfection on pathogen abundance were the most common reported across publications (6 negative, 15 neutral, 28 positive reports across 49 publications; Fig. 2A). Among specific pairs of coinfecting pathogens neutral effects exceeded positive effects (10 negative, 95 neutral, 69 positive across 174 unique pathogen pairs; Fig. 2C). In both

cases these patterns were strongly significantly different from both the random null model (grey line on Fig. 2, by publication [X2 = 15.6, d.f. = 2, P < 0.001] and by coinfection [X2 = 82.6, d.f. = 2, P < 0.001]) and from the no-effect null model BCKDHB (black line on Fig. 2, by publication [X2 = 160.3, d.f. = 2, P < 0.001] and by coinfection [X2 = 292.8, d.f. = 2, P < 0.001]). Regarding the impact of coinfection on host health, there was a much greater number of negative effects reported in publications than either positive, neutral or NA categories (51 negative, 12 neutral, 4 positive across 67 publications; Fig. 2B). When data were aggregated by specific pathogen pairs the neutral effects exceed the negative effects (51 negative, 84 neutral, 5 positive across 140 unique pathogen pairs; Fig. 2D). In both cases these patterns were significantly different from both the random null model (grey line, by publication [X2 = 55.6, d.f. = 2, P < 0.001, Fig. 2B] and by coinfection [X2 = 85.5, d.f. = 2, P < 0.001, Fig.