| Literature DB >> 29651095 |
Amy E Marriott1, Hanna Sjoberg1, Hayley Tyrer1, Joanne Gamble1, Emma Murphy1, John Archer1, Andrew Steven1, Mark J Taylor1, Joseph D Turner2.
Abstract
Filariasis is a global health problem targeted for elimination. Curative drugs (macrofilaricides) are required to accelerate elimination. Candidate macrofilaricides require testing in preclinical models of filariasis. The incidence of infection failures and high intra-group variation means that large group sizes are required for drug testing. Further, a lack of accurate, quantitative adult biomarkers results in protracted timeframes or multiple groups for endpoint analyses. Here we evaluate intra-vital ultrasonography (USG) to identify B. malayi in the peritonea of gerbils and CB.17 SCID mice and assess prognostic value in determining drug efficacy. USG operators, blinded to infection status, could detect intra-peritoneal filarial dance sign (ipFDS) with 100% specificity and sensitivity, when >5 B. malayi worms were present in SCID mice. USG ipFDS was predictive of macrofilaricidal activity in randomized, blinded studies comparing flubendazole, albendazole and vehicle-treated SCID mice. Semi-quantification of ipFDS could predict worm burden >10 with 87-100% accuracy in SCID mice or gerbils. We estimate that pre-assessment of worm burden by USG could reduce intra-group variation, obviate the need for surgical implantations in gerbils, and reduce total SCID mouse use by 40%. Thus, implementation of USG may reduce animal use, refine endpoints and negate invasive techniques for assessing anti-filarial drug efficacy.Entities:
Mesh:
Substances:
Year: 2018 PMID: 29651095 PMCID: PMC5897408 DOI: 10.1038/s41598-018-24294-2
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Optimisation of intra-peritoneal FDS detection by ultrasound in anaesthetised mice or gerbils.
| ID | ipFDS signal | ipFDS signal (+1 ml medium ip) | ipFDS signal (+3 ml medium ip) | n adult |
|---|---|---|---|---|
| SCID 1 | − | + | nd | 6 |
| SCID 2 | + | + | nd | 6 |
| SCID 3 | + | + | nd | 7 |
| SCID 4 | − | + | nd | 7 |
| SCID 5 | − | + | nd | 4 |
| Gerbil 1 | − | − | + | 2 |
| Gerbil 2 | − | − | + | 2 |
| Gerbil 3 | − | − | + | 12 |
| Gerbil 4 | − | − | + | 67 |
Figure 1USG identification of rodent intraperitoneal filarial dance sign. Presence of B. malayi worm clusters with rapid motility detected in B mode within cystic spaces between viscera and abdominal wall of SCID mice (A). Irregular B. malayi motility (filarial dance sign) captured by pulse wave color doppler (B) and pulse wave (C). Movements away from the transducer probe in blue, those towards the transducer in red (B).
Sensitivity and specificity of USG in determining adult motile B. malayi.
| total adult | Mice n | Mice ipFDS+ | Mice ipFDS− | ||
|---|---|---|---|---|---|
| 12 | 9,9 | 3,3 | 2 | 2 | 0 |
| 10 | 9 | 1 | 1 | 1 | 0 |
| 9 | 7,7 | 2,2 | 2 | 2 | 0 |
| 8 | 8,6,5 | 0,2,3 | 3 | 3 | 0 |
| 6 | 4,4,3 | 2,2,3 | 3 | 3 | 0 |
| 5 | 3 | 2 | 1 | 1 | 0 |
| 4 | 2 | 2 | 1 | 1 | 0 |
| 2 | 1 | 1 | 1 | 1 | 0 |
| 5 | 5 | 1 | 1 | 0 | |
| 4 | 4,4 | 2 | 2 | 0 | |
| 3 | 3 | 1 | 0 | 1 | |
| 2 | 2,2,2,2 | 4 | 3 | 1 | |
| 1 | 1,1,1,1,1,1,1,1,1 | 9 | 7 | 2 | |
| 5 | 5,5 | 2 | 0 | 2 | |
| 4 | 0 | 0 | 0 | 0 | |
| 3 | 3,3 | 2 | 2 | 0 | |
| 2 | 2,2 | 2 | 2 | 0 | |
| 1 | 1,1,1,1,1 | 5 | 5 | 0 | |
| 0 (including sham) | 0 | 0 | 9 | 0 | 9 |
|
|
|
|
| ||
|
|
|
|
| ||
|
|
|
|
| ||
|
|
| ||||
| sensitivity >5 adult | 100% | ||||
| sensitivity ≤5 adult | 80.6% | ||||
| sensitivity ≤5 female | 76.5% | ||||
| sensitivity ≤5 male | 81.8% | ||||
|
|
|
USG ipFDS detection compared with adult B. malayi parasitological readouts in experimental macrofilaricide drug screens.
| Drug group+ | USG ipFDS+/total (weeks post-dosing) | Infection status (weeks post-dosing) | median | Median Female | Median Male | Mean Female | Median Female |
|---|---|---|---|---|---|---|---|
|
| |||||||
| Vehicle | 8/8 (6 weeks) | 8/8 (6 weeks) | 7 (2–12, 57) | 4.5 (1–9, 40) | 2 (0–3, 17) | 0.40, 39 (0.002) | 3 (1–3, 39) |
| ABZ | 8/8 (6 weeks) | 8/8 (6 weeks) | 7 (2–12, 53) | 5 (0–9, 39) | 2 (0–3, 14) | 0.48, 39 (0.07) | 3 (1–3, 39) |
| FBZ | 3/9* (6 weeks) | 4/9| (6 weeks) | 0† (0–3, 4) | 0 (0–3, 4) | 0 (0–0) | nd | 1œ (1–1, 4) |
|
| |||||||
| Vehicle | 5/5 (2.5 weeks) | 5/5 (6 weeks) | 18 (9–23, 85) | 10 (6–15, 53) | 7 (3–8, 31) | 0.69, 10 (0.08) | 3 (2–3, 10) |
| ABZ | 5/5 (2.5 weeks) | 5/5 (6 weeks) | 19 (14–21, 93) | 14 (11–16, 67) | 5 (3–6, 24) | 0.28∞, 10 (0.05) | 3 (2–3, 10) |
| FBZ | 1/5§ (2.5 weeks) | 4/5 (6 weeks) | 1# (0–4, 7) | 1 (0–4, 7) | 0 (0–0, 0) | 0.01∞, 7 (0.003) | 1 |
ABZ = albendazole 5mg/kg twice daily per oral x 7d, FBZ = flubendazole 10mg/kg once daily sc x 5d.
Motility score: 3 = vigourously motile, 2 = sluggishly motile, 1 = partial twitching motility, 0 = immotile.
Chi-square analysis X2 = 14.04, df,2 P=0.0009.
|Chi-square analysis X2 = 11.11, df,2 P=0.0039.
Kruskal Wallis 1 way ANOVA 16.09, P=0.0003 (Dunn’s tests: vehicle vs FBZ, P < 0.01, ABZ vs FBZ, P < 0.01).
Kruskal Wallis 1 way ANOVA 18.49, P < 0.0001 (Dunn’s tests: vehicle vs FBZ, P < 0.0001, ABZ vs FBZ, P < 0.0001).
Chi-square analysis X2 = 10.91, df,2 P = 0.0042.
Kruskal Wallis 1 way ANOVA 40.13, P < 0.0001 (Dunn’s tests: vehicle vs FBZ, P < 0.0001, ABZ vs FBZ, P < 0.0001).
1 way ANOVA F = 23.93, P < 0.0001 (Holm-Sidak’s tests: vehicle vs ABZ, P < 0.001, vehicle vs FBZ, P < 0.0001, ABZ vs FBZ P < 0.05).
Kruskal Wallis 1 way ANOVA 20.47, P < 0.0001 (Dunn’s tests: vehicle vs FBZ, P < 0.001).
Figure 2Semi-quantification of B. malayi worm burden by USG in SCID mouse and gerbil drug screening models. positive and negative ipFDS and ipFDS signal strength, semi-quantified in terms of number of anatomical locations and density (+/++ = low-intermediate signal, +++ = strong signal) compared with worm burdens of motile adult B. malayi determined at necropsy in 31 parasitised SCID mice (A) or 18 Mongolian gerbils (B). Horizontal bars represent median values and bars represent interquartile range. Percentages in parentheses are numbers of animals in each USG sub-category with a B. malayi worm burden ≥10 (above shaded area of graph). Significant differences were assessed by 1 way ANOVA with Holm Sidak’s multiple comparison’s test (A) or Kruskal Wallis with Dunn’s multiple comparison’s tests (B). Significant differences are indicated *P < 0.05, **P < 0.01, ***P < 0.001.
Meta-analysis of B. malayi worm burden variation, statistical power and hypothetical animal use for preclinical drug screening pre- and post-implementation of USG imaging assessment.
| Species/strain | Model | worm burden mean ± SD (sample n, expt n) | n animal/drug test (>75% < 90% power)# | Proportion infections excluded (%) | minimum animal use/drug test† | |||
|---|---|---|---|---|---|---|---|---|
| ≥70% efficacy | ≥90% efficacy | ≥70% efficacy | ≥90% efficacy | |||||
|
| Gerbil | 400x | 29.4 ± 33.1 (43, 3) | 22 | 14 | 0% | 22 | 14 |
| Gerbil | 20xadult | 9.4 ± 4.4 (11, 2) | 7 | 5 | — | 14 | 10 | |
| Mouse CB.17 SCID | 100x | 15.3 ± 8.7 (50, 2) | 8 | 6 | 0% | 8 | 7 | |
|
| Gerbil | 400x | 37.2 ± 33.1 | 15 | 9 | 20% | 18 | 11 |
| Mouse CB.17 SCID | 100x | 17.0 ± 7.4 | 5 | 4 | 10% | 6 | 5 | |
|
| Gerbil | 400x | 47.4 ± 31.3 | 9 | 6 | 40% | 14 | 9 |
| Mouse CB.17 SCID | 100x | 19.5 ± 6.0 | 4 | 3 | 25% | 5 | 4 | |
#Statistical power (1-ß, α = 0.05) two sample T test (Russ Lenth Piface Applet).
†Including donor animals (surgical implantations) or animals used but subsequently excluded due to USG criteria.