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A High-Throughput Multiplexed Screening for Type 1 Diabetes, Celiac Diseases, and COVID-19
Published on: July 5, 2022
Novel Protein Biomarkers and Therapeutic Targets for Type 1 Diabetes and Its Complications: Insights from
Mingrui Zou1,2, Jichun Yang1
1Department of Physiology and Pathophysiology, School of Basic Medical Sciences, Key Laboratory of Molecular Cardiovascular Science of the Ministry of Education, Center for Non-Coding RNA Medicine, Peking University Health Science Center, Beijing 100191, China.
Abstract:
Millions of patients suffer from type 1 diabetes (T1D) and its associated complications. Nevertheless, the pursuit of a cure for T1D has encountered significant challenges, with a crucial impediment being the lack of biomarkers that can accurately predict the progression of T1D and reliable therapeutic targets for T1D. Hence, there is an urgent need to discover novel protein biomarkers and therapeutic targets, which holds promise for targeted therapy for T1D. In this study, we extracted summary-level data on 4907 plasma proteins from 35,559 Icelanders and 2923 plasma proteins from 54,219 UK participants as exposures. The genome-wide association study (GWAS) summary statistics on T1D and T1D with complications were obtained from the R9 release results from the FinnGen consortium. Summary-data-based Mendelian randomization (SMR) analysis was employed to evaluate the causal associations between the genetically predicted levels of plasma proteins and T1D-associated outcomes. Colocalization analysis was utilized to investigate the shared genetic variants between the exposure and outcome. Moreover, transcriptome analysis and a protein-protein interaction (PPI) network further illustrated the expression patterns of the identified protein targets and their interactions with the established targets of T1D. Finally, a Mendelian randomization phenome-wide association study evaluated the potential side effects of the identified core protein targets. In the primary SMR analysis, we identified 72 potential protein targets for T1D and its complications, and nine of them were considered crucial protein targets. Within the group were five risk targets and four protective targets. Backed by evidence from the colocalization analysis, the protein targets were classified into four tiers, with MANSC4, CTRB1, SIGLEC5 and MST1 being categorized as tier 1 targets. Delving into the DrugBank database, we retrieved 11 existing medications for T1D along with their therapeutic targets. The PPI network clarified the interactions among the identified potential protein targets and established ones. Finally, the Mendelian randomization phenome-wide association study corroborated MANSC4 as a reliable target capable of mitigating the risk of various forms of diabetes, and it revealed the absence of adverse effects linked to CTRB1, SIGLEC5 and MST1. This study unveiled many protein biomarkers and therapeutic targets for T1D and its complications. Such advancements hold great promise for the progression of drug development and targeted therapy for T1D.
Insights
This study identifies novel protein biomarkers and therapeutic targets for type 1 diabetes (T1D) and its complications, offering new avenues for drug development and targeted therapies.
Area of Science:
- Genetics and Bioinformatics
- Endocrinology
- Pharmacology
Background:
- Type 1 diabetes (T1D) affects millions globally, with current treatments lacking a cure and facing challenges in predicting disease progression.
- Identifying reliable biomarkers and therapeutic targets is crucial for advancing T1D management and developing targeted therapies.
Purpose of the Study:
- To discover novel protein biomarkers and therapeutic targets for type 1 diabetes (T1D) and its complications using large-scale genetic and proteomic data.
- To evaluate the causal associations between plasma protein levels and T1D outcomes, and to identify potential therapeutic targets with minimal side effects.
Main Methods:
- Utilized summary-level data from Icelandic and UK biobanks, and genome-wide association study (GWAS) data from the FinnGen consortium.
- Employed Summary-data-based Mendelian Randomization (SMR) and colocalization analyses to identify protein targets causally linked to T1D.
- Integrated transcriptome analysis, protein-protein interaction (PPI) networks, and Mendelian randomization phenome-wide association studies to validate targets and assess potential side effects.
Main Results:
- Identified 72 potential protein targets for T1D and its complications, with nine deemed crucial (five risk, four protective).
- Classified MANSC4, CTRB1, SIGLEC5, and MST1 as tier 1 targets based on colocalization evidence.
- Validated MANSC4 as a target for mitigating diabetes risk and confirmed the safety of CTRB1, SIGLEC5, and MST1.
Conclusions:
- This research unveils numerous protein biomarkers and therapeutic targets for T1D, significantly advancing the potential for targeted drug development.
- The identified targets, particularly MANSC4, CTRB1, SIGLEC5, and MST1, offer promising avenues for novel therapeutic strategies and improved patient outcomes in T1D.
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