From: Characterization of early markers of disease in the mouse model of mucopolysaccharidosis IIIB
Figure | Outcome | Model | Predictor | Output | p value |
---|---|---|---|---|---|
1 | Number of USVs | rmANOVA | Genotype | F(1,42) = 5.669 | .022 |
Sex | F(1,40) = 3.352 | .075 | |||
Age | F(2,84) = 1.894 | .157 | |||
Genotype* Age | F(2,84) = 0.863 | .863 | |||
Mann–Whitney | Genotype | U(132) = 1373 | .0011 | ||
Weight | rmANOVA | Genotype | F(1,42) = .016 | .900 | |
Sex | F(1,40) = .001 | .977 | |||
Age | F(1.5,61) = 871.279 | 3.0E-44 | |||
Genotype* Age | F(1.5,61) = .347 | .640 | |||
Latency to right | Mann–Whitney | Genotype | U(44) = 289.5 | .148 | |
Sex | U(44) = 249.5 | .629 | |||
Temperature | rmANOVA | Genotype | F(1,42) = 5.706 | .021 | |
Sex | F(1,40) = .386 | .538 | |||
Age | F(2,84) = 7.969 | .001 | |||
Genotype* Age | F(2,84) = .411 | .664 | |||
Number of USVs with temperature covariate | ANCOVA | Genotype | F(1,125) = 11.021 | .001 | |
Age | F(2,125) = .911 | .405 | |||
Genotype* Age | F(2,125) = .111 | .895 | |||
Number of phrases | Linear mixed model | Genotype | F(1,42.3) = 4.264 | .045 | |
Sex | F(1,39.9) = 2.935 | .094 | |||
Age | F(2,52.6) = .686 | .508 | |||
Genotype*Age | F(2,52.6) = 1.265 | .291 | |||
Call duration | Linear mixed model | Genotype | F(1,28) = 11.198 | .002 | |
Sex | F(1,24.6) = 2.055 | .164 | |||
Age | F(2,41.3) = 3.679 | .034 | |||
Genotype*Age | F(2,41.3) = .282 | .756 | |||
Pause duration | Mann–Whitney | Genotype | U(102) = 892 | .048 | |
Sound pressure level | Mann–Whitney | Genotype | U(102) = 972 | .159 | |
Mean frequency | Linear mixed model w/ simple main effects | Genotype | F(1,77.1) = 8.973 | .004 | |
Sex | F(1,68.7) = .156 | .694 | |||
Age | F(2,96) = 4.364 | .015 | |||
Genotype*Age | F(2,96) = 6.274 | .003 | |||
P6, Genotype | F(1,96) = 20.942 | .00001 | |||
Frequency range | Linear mixed model | Genotype | F(1,66.7) = 9.557 | .003 | |
Sex | F(1,76) = 3.623 | .061 | |||
Age | F(1,96) = 5.084 | .008 | |||
Genotype*Age | F(1,96) = .280 | .757 | |||
% calls with frequency jump | Mann–Whitney | Genotype | U(127) = 1348.5 | .006 | |
2 | Developmental data collection attempts | rmANOVA | Genotype | F(1,42) = .144 | .706 |
Sex | F(1,42) = .144 | .706 | |||
Age | F(1.5,68) = 2.545 | .096 | |||
Genotype*Age | F(1.5,68) = .992 | .361 | |||
Developmental body weight | rmANOVA | Genotype | F(1,42) = .007 | .932 | |
Sex | F(1,42) = 12.837 | .0009 | |||
Age | F(1.9,80.3) = 1294.4 | 1.9E-94 | |||
Genotype*Age | F(1.9,80.3) = 3.599 | .034^ | |||
Developmental body length | rmANOVA | Genotype | F(1,42) = .504 | .481 | |
Sex | F(1,42) = 16.008 | .0003 | |||
Age | F(3,126) = 89.130 | 5.3E-31 | |||
Genotype*Age | F(3,126) = .214 | .887 | |||
Developmental forelimb brake duration | Hierarchical mixed covariate model | Genotype | F(1,71.4) = 18.499 | .00005 (.002*) | |
Sex | F(1,82.9) = .785 | .378 | |||
Age | F(3,127.9) = .731 | .536 | |||
Genotype*Age | F(3,130.6) = 2.734 | .046 (.510*) | |||
Developmental hindlimb absolute paw angle | Hierarchical mixed covariate model | Genotype | F(1,65.1) = 10.979 | .002 (.033*) | |
Sex | F(1,79.5) = 2.581 | .112 | |||
Age | F(3,124.8) = 3.604 | .015 (.045*) | |||
Genotype*Age | F(3,128.6) = 1.384 | .251 | |||
Adult body length | ANOVA | Genotype | F(1,40) = 8.278 | .006 | |
Sex | F(1,40) = 18.846 | .00009 | |||
Genotype*Sex | F(1,40) = .107 | .745 | |||
Adult body weight | ANOVA | Genotype | F(1,40) = 10.809 | .002 | |
Sex | F(1,40) = 59.719 | 3.5E-9 | |||
Genotype*Sex | F(1,40) = .001 | .972 | |||
30 cm/s data collection attempts | ANOVA | Genotype | F(1,42) = 2.261 | .140 | |
Sex | F(1,40) = 1.222 | .276 | |||
Genotype*Sex | F(1,40) = .629 | .433 | |||
40 cm/s data collection attempts | ANOVA | Genotype | F(1,36) = 6.746 | .014 | |
Sex | F(1,34) = .089 | .767 | |||
Genotype*Sex | F(1,34) = .831 | .368 | |||
Adult 30 cm/s forelimb brake duration | ANCOVA | Genotype | F(1,41) = 17.812 | .0001 (.0006*) | |
Sex | F(1,39) = 2.067 | .308 | |||
Genotype*Sex | F(1,39) = 1.473 | .232 | |||
Adult 40 cm/s hindlimb % shared stance | ANCOVA | Genotype | F(1,35) = 12.092 | .001 (.06*) | |
Sex | F(1,33) = .114 | .738 | |||
Genotype*Sex | F(1,33) = .042 | .838 | |||
Adult 40 cm/s hindlimb % swing | ANCOVA | Genotype | F(1,35) = 8.555 | .006 (.088*) | |
Sex | F(1,33) = .814 | .374 | |||
Genotype*Sex | F(1,33) = .030 | .863 | |||
Adult 40 cm/s hindlimb % stance | ANCOVA | Genotype | F(1,35) = 8.555 | .006 (.088*) | |
Sex | F(1,33) = .814 | .374 | |||
Genotype*Sex | F(1,33) = .030 | .863 | |||
3 | Body weight | rmANOVA w/ simple main effects | Genotype | F(1,35) = 16.179 | .0003 |
Sex | F(1,35) = 93.839 | 1.9E-11 | |||
Genotype*Sex | F(1,35) = .139 | .712 | |||
Females, Genotype | F(1,35) = 6.484 | .015 | |||
Males, Genotype | F(1,35) = 9.927 | .003 | |||
Age | F(2,72.9) = 221.81 | 3.7E-32 | |||
Genotype*Age | F(2,72.9) = 9.667 | .0002 | |||
Mean visual acuity | ANOVA | Genotype | F(1,37) = .573 | .454 | |
Sex | F(1,35) = 2.732 | .107 | |||
Genotype*Sex | F(1,35) = .436 | .513 | |||
Mean contrast | ANOVA | Genotype | F(1,37) = .003 | .960 | |
Sex | F(1,35) = 2.409 | .130 | |||
Genotype*Sex | F(1,35) = 1.034 | .316 | |||
4 | Body weight during Acoustic Startle/PPI testing | ANOVA | Genotype | F(1,36) = 6.187 | .018 |
Sex | F(1,36) = 27.528 | 7.1E-6 | |||
Genotype*Sex | F(1,36) = .136 | .714 | |||
Startle magnitude – 120 dB | rmANCOVA | Genotype | F(1,37) = 4.282 | .046 | |
Sex | F(1,35) = .823 | .371 | |||
Trial | F(3,111) = .338 | .798 | |||
Genotype*Trial | F(3,111) = 1.216 | .307 | |||
Startle magnitude – 80-120 dB | rmANCOVA | Genotype | F(1,37) = .921 | .343 | |
Sex | F(1,35) = .042 | .839 | |||
dB | F(3.8,143.8) = 3.208 | .016 | |||
Genotype*dB | F(3.8,143.8) = .192 | .939 | |||
% inhibition of startle | rmANCOVA w/ simple main effects | Genotype | F(1,37) = 5.151 | .029 | |
Sex | F(1,35) = 2.035 | .163 | |||
dB | F(2,74) = .046 | .955 | |||
Genotype*dB | F(2,74) = 1.033 | .361 | |||
4 dB, Genotype | F(1,113) = .712 | .401 | |||
8 dB, Genotype | F(1,113) = 4.221 | .042 | |||
16 dB, Genotype | F(1,113) = 8.444 | .004 | |||
% freezing: tone + shock paring | rmANOVA | Genotype | F(1,35) = .027 | .872 | |
Sex | F(1,35) = 9.960 | .003 | |||
Minute | F(2,70) = 10.981 | .00007 | |||
Genotype*Minute | F(2,70) = .053 | .949 | |||
% freezing: contextual fear | rmANOVA | Genotype | F(1,35) = .592 | .447 | |
Sex | F(1,35) = 5.635 | .023 | |||
Minute | F(7,245) = 2.506 | .017 | |||
Genotype*Minute | F(7,245) = 1.049 | .397 | |||
% freezing: cued fear | rmANOVA | Genotype | F(1,35) = 4.210 | .048 | |
Sex | F(1,35) = 2.129 | .153 | |||
Minute | F(7,245) = 18.164 | 2.1E-19 | |||
Genotype*Minute | F(7,245) = .670 | .697 | |||
5 | SA distance traveled | rmANOVA | Genotype | F(1,36) = .943 | .338 |
Sex | F(1,36) = 1.674 | .204 | |||
Genotype*Sex | F(1,36) = .051 | .823 | |||
SA habituation investigation time | rmANOVA | Genotype | F(1,36) = .538 | .468 | |
Stimulus | F(1,36) = .645 | .427 | |||
Sex | F(1,36) = 6.231 | .017 | |||
Genotype*Stimulus | F(1,36) = .004 | .950 | |||
Genotype*Sex | F(1,36) = .018 | .893 | |||
SA sociability preference index | ANOVA | Genotype | F(1,36) = .886 | .353 | |
Sex | F(1,36) = 5.800 | .021 | |||
Genotype*Sex | F(1,36) = 2.992 | .092 | |||
SA sociability investigation time | rmANOVA w/ simple main effects | Genotype | F(1,36) = .233 | .632 | |
Stimulus | F(1,36) = 140.790 | 5.3E-14 | |||
Sex | F(1,36) = 12.039 | .001 | |||
Genotype*Sex | F(1,36) = .059 | .809 | |||
Genotype*Stimulus | F(1,36) = .429 | .517 | |||
Controls, stimulus | F(1,36) = 78.384 | 1.4E-10 | |||
MPS IIIB, stimulus | F(1,36) = 62.836 | 2.1E-9 | |||
SA sociability preference index across time | rmANOVA | Genotype | F(1,36) = .143 | .708 | |
Genotype*Minute | F(8.9,322.9) = 1.867 | .056 | |||
SA novelty preference index | ANOVA | Genotype | F(1,36) = .000 | .991 | |
Sex | F(1,36) = .094 | .761 | |||
Genotype*Sex | F(1,36) = .301 | .586 | |||
SA social novelty investigation time | rmANOVA w/ simple main effects | Genotype | F(1,36) = 2.784 | .104 | |
Stimulus | F(1,36) = 96.732 | 9.7E-12 | |||
Sex | F(1,36) = 12.258 | .001 | |||
Genotype*Sex | F(1,36) = 2.390 | .131 | |||
Genotype*Stimulus | F(1,36) = 1.479 | .232 | |||
Controls, stimulus | F(1,36) = 37.144 | 5.2E-7 | |||
MPS IIIB, stimulus | F(1,36) = 61.067 | 2.9E-9 | |||
SA novelty preference index across time | rmANOVA | Genotype | F(1,36) = .058 | .811 | |
Genotype*Minute | F(9,324) = 1.651 | .100 | |||
Tube Test percent wins | One-sample t-test (to 50%) | Female MPS IIIB | t(8) = -3.900 | .005 | |
Male MPS IIIB | t(9) = -.919 | .382 | |||
RI bout with an attack | Fisher’s Exact Test | Genotype | OR = 1.25 [95% CI 1.045,1.495] | .024 | |
RI anogenital sniff duration | Mann–Whitney | Genotype | U(20) = 22 | .035 | |
RI head sniff count | Mann–Whitney | Genotype | U(22) = 20 | .023 | |
6 | Whole brain volume | ANOVA | Genotype | F(1,22) = 28.585 | .00002 |
Sex | F(1,22) = 4.137 | .054 | |||
Genotype*Sex | F(1,22) = .185 | .671 | |||
Body weight | ANOVA | Genotype | F(1,22) = 61.441 | 8.3E-8 | |
Sex | F(1,22) = 82.188 | 7.0E-9 | |||
Genotype*Sex | F(1,22) = 3.582 | .072 | |||
Cerebellar volumetric ratio | ANOVA | Genotype | F(1,22) = 5.693 | .026 | |
Sex | F(1,22) = 2.131 | .158 | |||
Genotype*Sex | F(1,22) = 1.144 | .296 | |||
Cerebellar apparent diffusion coefficient | ANOVA | Genotype | F(1,22) = 2.883 | .104 | |
Sex | F(1,22) = .081 | .779 | |||
Genotype*Sex | F(1,22) = .782 | .386 | |||
Corpus callosal volumetric ratio | ANOVA | Genotype | F(1,22) = 10.219 | .004 | |
Sex | F(1,22) = .016 | .900 | |||
Genotype*Sex | F(1,22) = .926 | .346 | |||
Corpus callosal fractional anisotropy | ANOVA | Genotype | F(1,22) = 1.394 | .250 | |
Sex | F(1,22) = .010 | .923 | |||
Genotype*Sex | F(1,22) = 3.241 | .086 | |||
Cortical thickness | ANOVA | Genotype | F(1,22) = 1.399 | .250 | |
Sex | F(1,22) = .113 | .740 | |||
Genotype*Sex | F(1,22) = .110 | .743 |