Science - USA (2022-04-08)

(Maropa) #1

Perezet al.,Science 376 , eabf1970 (2022) 8 April 2022 7 of 13


AB
Thrombocytopenia
Renal involvement
Tup
Bup
anti-Smith
SLADAI
Low complement
Panup
Myeup
Combined
Leukopenia
Lymphopenia
Discoid rash
Malar rash
Photosensitivity
Myedown
Neurological involvement
anti-dsDNA
Serositis
Pandown
Mucosal Ulcers
Arthritis
anti-phospholipid

IFITM3 Myeup
ISG15 Panup
HLA-C Panup
MT2APanup
LY6E Panup
S100A11 Myeup
IFI27 Panup
IFI6 Panup
TYROBPMyeup
TYMPMyeup
MNDAMyeup
JUNB Bup
IFITM2 Panup
TCL1ABup
PSME2 Panup
LGALS1 Myeup
IFI44LPanup
VPREB3 Bup
IFITM1 Myeup
TIMP1 Myeup
PSMB9 Panup
LGALS2 Myeup
TNFSF10 Myeup
TNFSF13B Myeup

Tup
Bup
Panup
Myeup
Myedown
Pandown

Tup
Bup
Panup
Myeup
Myedown
Pandown

C
anti-Smith

Mucosal Ulcers Thrombocytopenia

Mean AUC = 0.70 0.09

True positive rate

1.0

1.5

0.0 Odds ratio

RNASE2PLD4
STRADBNPDC1
VPREB3RTKN2
RP11-1399P15.1LGALS3BP
IFI27

anti-dsDNA
Mean AUC = 0.66 0.00

Odds ratio

FKBP5ARRDC3
SAMD3CELA1
AK5APOBEC3A
MDS2ZDHHC1
BHLHE40TSHZ2

Mean AUC = 0.69 0.08

True positive rate

1.0

1.5

0.0

Mean AUC = 0.680.01

Odds ratio

IL1BNR4A1
G0S2FRG1B
PATL2ARHGAP24
RP5-887A10.1CA11
SDR42E2PTCH2
Odds ratio

LILRA3GPR183
VMO1KIF22
LINC00649PTCH2
LGALS9ODF3B
ICAM4PTGER4

Lorem ipsum

0.0 0.5 1.0 0.0 0.5 1.0

01 2 01 2

(^02012)
D
Odds ratio
0 1 2
Differentially
expressed in:
True positive rate
Case control OOS
ROC AUC: 0.84
1.0
0.8
0.6
0.4
0.2
0.0
0.0 0.5 1.0
VRK2
AC016629.8
TCL1A
STRADB
MS4A6A
GBP3
TNFSF13B
FOS
EIF3L
PITPNC1
DNAJB1
SDR42E2
CTD-2035E11.3
MDS2
PRMT10
E
Molecular PC1
Molecular PC2
CTL
Training Set
SLE
Molecular Clusters
Low High
Molecular Clusters
F



  • 10
    5
    0
    Low
    Training Set
    Low: 1.8, High: 4.0
    False positive rate False positive rate False positive rate
    High
    SLEDAI
    H
    Log
    T cell abundance 10
    Log 10 module expression
    anti-dsDNAanti-Smith
    Renal involvementDiscoid rash
    LymphopeniaMalar rash
    PhotosensitivityLeukopenia
    Low complementArthritis
    Neurological involvementSerositis
    Thrombocytopeniaanti-phospholipid
    Mucosal Ulcers
    0 2 4
    Odds ratio
    Test Set
    given high group membershipOdds of clinical feature
    Up-Pan R= -0.55
    Asian R= -0.52, European R= -0.57
    IFITM3 Myeup
    ISG15 Panup
    HLA-C Panup
    MT2APanup
    LY6E Panup
    S100A11 Myeup
    IFI27 Panup
    IFI6 Panup
    TYROBPMyeup
    TYMPMyeup
    MNDAMyeup
    JUNB Bup
    IFITM2 Panup
    TCL1ABup
    PSME2 Panup
    LGALS1 Myeup
    IFI44LPanup
    VPREB3 Bup
    IFITM1 Myeup
    TIMP1 Myeup
    PSMB9 Panup
    LGALS2 Myeup
    TNFSF10 Myeup
    TNFSF13B Myeup
    CTL Low High
    G
    Molecular PC1
    Test set
    Molecular PC2
    SLE Low High
    European
    Asian
    Correlation
    0 1
    Fig. 4. Prediction of disease status and molecular stratification of SLE.
    (A) Correlation between log 10 (expression of Panup)(xaxis) and log 10 (abundance
    of CD4Naïvecells) in processing batch 4 cases only. (B) Correlation matrix
    between average expression of each of six gene modules and clinical features.
    (CandD) Receiver operating curve for out-of-sample (OOS) prediction of case-
    control status (C) and individual clinical variables (D) using a logistic regression
    model trained on 302 expression features. Inset depicts the most important
    molecular features inferred by the model, colored by the module to which each
    feature belongs. (E) Principal components analysis of training set based on
    302 expression features. Green, control; red, case. Heatmap shows the top
    25 most correlated expression features to molecular principal component PC1.
    Expression was binned and averaged across 24 equal steps across molecular
    PC1. K-means clustering of samples based on principal components yielded
    two molecular subphenotypes (Low, High). (F) Distribution of SLEDAI scores
    (yaxis) for each molecular subphenotype (xaxis) in the training cases. *P< 0.05
    (Wilcoxon rank-sum test). (G) Projection of OOS test set onto molecular PC1
    and PC2 and colored by case-control status (left) and molecular cluster membership
    (right). Heatmap shows the top 25 most correlated expression features to
    molecular PC1 in the test set. (H) Odds ratio of having a clinical feature given
    membership in the High molecular cluster versus the Low molecular cluster.
    RESEARCH | RESEARCH ARTICLE

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