Table 1 Summary of the findings for candidate proteins associated with IBD and its subtypes

From: Associations of 2923 plasma proteins with incident inflammatory bowel disease in a prospective cohort study and genetic analysis

Categorya

Protein Name

UKB-PPP cohort studyb

Main MR pQTL from UKB-PPPc

Reverse MRd

Steiger filtering analysese

Bayesian colocalizationf

Replication MR pQTL from deCODEg

Replication MR pQTL from Fenlandh

Transcriptomic MR eQTL from GTExi

Differential expression in enriched cells (IBD vs HC)j

KO mouse modelsk

PPIl

Drug developmentm

Interactions between proteins and IBD drug targetsn

  

Direction

Direction

FDR

Causal direction (P-value)

PPH4.abs

Evidence level

Direction

Direction

Direction

   

Drug name

Outcomes (Approved or Trial Phase)

 

IBD

Tier1

IL12B

+

+

0.140

True (9.51E-27)

0.979

High

+

+

  

Yes

Yes

Ustekinumab

Inflammatory bowel disease (Phase IV)

Yes

Tier1

CD6

+

+

0.825

True (2.59E-11)

0.996

High

  

+

+

Yes

Yes

Itolizumab

COVID-19 (Phase III)

Psoriasis (Approved)

Yes

Tier1

MXRA8

0.140

True (8.02E-03)

0.643

High

     

Yes

Tier2

CCL20

+

+

0.825

True (1.13E-13)

0.080

Low

  

+

+

 

Yes

GSK-3050002

Psoriatic arthritis (Phase I)

Yes

Tier2

IL18

+

+

0.168

True (9.74E-17)

0.185

Low

  

+

+

Yes

Yes

GSK-1070806

Inflammatory bowel disease (Phase I)

Yes

Tier2

TNFRSF9

+

+

0.849

True (4.31E-32)

0.040

Low

  

+/−

 

Yes

Yes

Urelumab

Pancreatic Cancer (Phase II)

Yes

Tier2

CCL7

+

+

0.578

True (4.22E-19)

3.24E-06

Low

+

+

  

Yes

Yes

  

Yes

Tier2

IL1RL1

+

+

0.574

True (4.38E-60)

0.086

Low

+

+

+

 

Yes

Yes

Anakinra

Rheumatoid Arthritis (Approved)

Yes

Tier2

IL19

+

+

0.140

True (1.16E-05)

7.32E-18

Low

  

+/−

 

Yes

Yes

  

Yes

Tier2

CCL13

+

+

0.849

True (1.59E-139)

2.70E-04

Low

  

+/−

  

Yes

  

Yes

Tier2

CD72

+

+

0.813

True (2.83E-38)

0.230

Low

+

+

  

Yes

Yes

   

Tier2

EPHB4

+

+

0.535

True (5.11E-46)

0.015

Low

+

 

+/−

  

Yes

Dasatinib

Chronic Phase Chronic Myeloid Leukemia (Approved)

Yes

Tier2

SEPTIN8

+

+

0.813

True (4.82E-14)

4.57E-12

Low

  

+/−

+

     

Tier2

IFNG

+

+

0.628

True (3.77E-03)

3.88E-05

Low

    

Yes

Yes

Olsalazine

Inflammatory bowel disease (Approved)

Yes

Tier2

LY9

+

+

0.628

True (2.66E-114)

0.005

Low

+

+

  

Yes

   

Yes

Tier2

IL10RA

+

+

0.711

True (1.06E-34)

0.021

Low

    

Yes

Yes

Pegilodecakin

Pancreatic carcinoma (Phase III)

Yes

Tier2

IGLC2

+

+

0.666

True (1.99E-48)

0.031

Low

  

+

  

Yes

   

Tier2

ITGAV

-

-

0.578

True (2.11E-38)

0.267

Low

  

+

Yes

Yes

Cilengitide

Glioblastoma multiforme (Phase III)

Yes

CD

Tier1

CXCL9

+

+

0.535

True (4.30E-19)

0.820

High

 

+

 

+

Yes

Yes

  

Yes

Tier1

IL12B

+

+

0.132

True (6.94E-15)

0.889

High

+

+

  

Yes

Yes

Ustekinumab

Inflammatory bowel disease (Phase IV)

Yes

Tier1

IFNG

+

+

0.578

True (1.85E-04)

0.654

High

    

Yes

Yes

Olsalazine

Inflammatory bowel disease (Approved)

Yes

Tier1

CCN3

+

+

0.878

True (1.47E-97)

0.649

High

 

-

  

Yes

   

Yes

Tier1

RSPO3

+

+

0.849

True (3.68E-30)

0.810

High

+

+

   

Yes

Rosmantuzumab

Colorectal cancer/Neoplasm (Phase I)

 

Tier2

SEPTIN8

+

+

0.666

True (1.03E-09)

7.89E-16

Low

  

+/−

+

 

Yes

   

UC

Tier1

IL18

+

+

0.578

True (2.22E-11)

0.822

High

  

+

+

Yes

Yes

GSK-1070806

Inflammatory bowel disease (Phase I)

Yes

Tier2

CCL20

+

+

0.578

True (2.01E-11)

0.086

Low

  

+

+

 

Yes

GSK-3050002

Psoriatic arthritis (Phase I)

Yes

Tier2

CCL7

+

+

0.878

True (4.25E-19)

0.010

Low

+

+

  

Yes

Yes

  

Yes

Tier2

NOS3

+

+

0.578

True (2.19E-03)

0.024

Low

  

+

 

Yes

Yes

Tilarginine

Obesity/Type 2 diabetes (Phase IV)

Breast cancer/Hyperlipidemia (Phase II)

Yes

  1. aTier 1 included the proteins that passed cohort study, main MR pQTL from UKB-PPP, and the colocalization analysis, and tier 2 included the proteins that only passed cohort study and main MR pQTL from UKB-PPP.
  2. bCox regression was used to evaluate the association between baseline plasma proteins and the incidence of IBD and its subtypes during follow-up in UKB-PPP study. All tests were two sided and adjusted for multiple comparisons, with an FDR < 0.05 considered as significant.
  3. cMeta-analysis of MR results (Wald ratio or inverse variance weighted method) was used to evaluate the association between proteins level from UKB-PPP (Olink) with IBD and its subtypes combined from IIBDGC and FinnGen. All tests were two sided and adjusted for multiple comparisons, with an FDR < 0.05 considered as significant.
  4. dReverse MR (Wald ratio or inverse variance weighted method) was used to IBD, CD, and UC from IIBDGC with candidate proteins from UKB-PPP, deCODE, and Fenland studies. All tests were two sided and adjusted for multiple comparisons. FDR < 0.05 indicates the presence of reverse causality.
  5. eSteiger filtering was used to evaluate the directionality of the association between proteins and IBD, “True” if the effect direction is from exposure to outcome at P < 0.05; “False” if reversed at P ≥ 0.05.
  6. fColocalization analysis was performed to evaluate whether the proteins and IBD shared common causal variants. PPH4 ≥ 0.6 indicated high-support evidence of colocalization, and PPH4 < 0.6 indicated low-support evidence of colocalization.
  7. gReplication MR (Wald ratio or inverse variance weighted method) meta-analysis was used to evaluate the association between proteins from deCODE (SoamScan) with IBD and its subtypes combined from IIBDGC and FinnGen. The “−” and “+” indicated the direction of replication MR analysis results.
  8. hReplication MR (Wald ratio or inverse variance weighted method) meta-analysis was used to evaluate the association between proteins from Fenland (SoamScan) with IBD and its subtypes combined from IIBDGC and FinnGen. The “−” and “+” indicated the direction of replication MR analysis results.
  9. iMeta-analysis of MR result (Wald ratio or inverse variance weighted method) was used to evaluate the association between protein-coding genes in different tissues from GTEx with IBD and its subtypes combined from IIBDGC and FinnGen. The “ − ” and “ + ” were used to indicate the direction of each protein on IBD, where “ − ” represented a negative association while “ + ” represented a positive association. The “ − / + ” represented the gene expression presenting different effects across different tissues.
  10. jWilcoxon rank-sum test was to compare the expression levels of candidate protein-coding genes in the specific enriched cell types between IBD cases and HC. The “ + ” indicates that the expression level of the protein-coding gene in the specifically enriched cell types is higher in IBD patients compared to healthy controls (HC), whereas the “ −” indicates lower expression in IBD patients. All tests were two-sided and |log2FC | > 0.25 and an FDR < 0.05 was considered as significant.
  11. kWhether knockout (KO) mouse models for these proteins show IBD-associated phenotypes, including immune and digestive/alimentary traits.
  12. lWhether interacted with other candidate proteins in protein–protein interaction (PPI) analysis.
  13. mDrugs targeting the candidate proteins that have been approved or are under clinical trials, along with their associated diseases, in the DrugBank database, OpenTargets database, and Therapeutic Target Database.
  14. nWhether interacted with known IBD drug targets in protein–protein interaction (PPI) analysis.
  15. IBD inflammatory bowel disease, CD Crohn’s disease, UC ulcerative colitis.