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Chang KJ, Wu HY, Chiang PH, Hsu YT, Weng PY, Yu TH, Li CY, Chen YH, Dai HJ, Tsai HY, Chang YJ, Wu YR, Yang YP, Li CT, Hsu CC, Chen SJ, Chen YC, Cheng CY, Hsieh AR, Chiou SH. Decoding and reconstructing disease relations between dry eye and depression: a multimodal investigation comprising meta-analysis, genetic pathways and Mendelian randomization. J Adv Res 2024:S2090-1232(24)00115-2. [PMID: 38548265 DOI: 10.1016/j.jare.2024.03.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2024] [Revised: 03/07/2024] [Accepted: 03/23/2024] [Indexed: 04/05/2024] Open
Abstract
INTRODUCTION The clinical presentations of dry eye disease (DED) and depression (DEP) often comanifest. However, the robustness and the mechanisms underlying this association were undetermined. OBJECTIVES To this end, we set up a three-segment study that employed multimodality results (meta-analysis, genome-wide association study [GWAS] and Mendelian randomization [MR]) to elucidate the association, common pathways and causality between DED and DEP. METHODS A meta-analysis comprising 26 case-control studies was first conducted to confirm the DED-DEP association. Next, we performed a linkage disequilibrium (LD)-adjusted GWAS and targeted phenotype association study (PheWAS) in East Asian TW Biobank (TWB) and European UK Biobank (UKB) populations. Single-nucleotide polymorphisms (SNPs) were further screened for molecular interactions and common pathways at the functional gene level. To further elucidate the activated pathways in DED and DEP, a systemic transcriptome review was conducted on RNA sequencing samples from the Gene Expression Omnibus. Finally, 48 MR experiments were implemented to examine the bidirectional causation between DED and DEP. RESULTS Our meta-analysis showed that DED patients are associated with an increased DEP prevalence (OR = 1.83), while DEP patients have a concurrent higher risk of DED (OR = 2.34). Notably, cross-disease GWAS analysis revealed that similar genetic architecture (rG = 0.19) and pleiotropic functional genes contributed to phenotypes in both diseases. Through protein-protein interaction and ontology convergence, we summarized the pleiotropic functional genes under the ontology of immune activation, which was further validated by a transcriptome systemic review. Importantly, the inverse variance-weighted (IVW)-MR experiments in both TWB and UKB populations (p value <0.001) supported the bidirectional exposure-outcome causation for DED-to-DEP and DEP-to-DED. Despite stringent LD-corrected instrumental variable re-selection, the bidirectional causation between DED and DEP remained. CONCLUSION With the multi-modal evidence combined, we consolidated the association and causation between DED and DEP.
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Affiliation(s)
- Kao-Jung Chang
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; Institute of Clinical Medicine, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan; Department of Ophthalmology, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; Department of Medical Education, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan
| | - Hsin-Yu Wu
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan
| | - Pin-Hsuan Chiang
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; Big Data Center, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; Department of Statistics, Tamkang University, 251301 No.151, Yingzhuan Rd., Tamsui District, New Taipei, Taiwan
| | - Yu-Tien Hsu
- Department of Social & Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, 02115 No.677 Huntington Avenue, MA, USA
| | - Pei-Yu Weng
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan
| | - Ting-Han Yu
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan
| | - Cheng-Yi Li
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan
| | - Yu-Hsiang Chen
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan
| | - He-Jhen Dai
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan
| | - Han-Ying Tsai
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; Big Data Center, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; Department of Statistics, Tamkang University, 251301 No.151, Yingzhuan Rd., Tamsui District, New Taipei, Taiwan
| | - Yu-Jung Chang
- Department of Statistics, Tamkang University, 251301 No.151, Yingzhuan Rd., Tamsui District, New Taipei, Taiwan
| | - You-Ren Wu
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; Institute of Pharmacology, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan
| | - Yi-Ping Yang
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan; Institute of Pharmacology, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan
| | - Cheng-Ta Li
- Department of Psychiatry, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; Division of Psychiatry, School of Medicine, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan; Institute of Brain Science and Brain Research Center, School of Medicine, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan; Institute of Cognitive Neuroscience, National Central University, 320317 No. 300, Zhongda Rd., Zhongli District, Jhongli, Taiwan
| | - Chih-Chien Hsu
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; Department of Ophthalmology, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan
| | - Shih-Jen Chen
- Big Data Center, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan
| | - Yu-Chun Chen
- School of Medicine, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan; Big Data Center, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; Institute of Hospital and Health Care Administration, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan; Department of Family Medicine, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, 168751 No.11 Third Hospital Ave, Singapore; Department of Ophthalmology, Yong Loo Lin school of Medicine, National University of Singapore, 119228 No.21 Lower Kent Ridge Road, Singapore
| | - Ai-Ru Hsieh
- Department of Statistics, Tamkang University, 251301 No.151, Yingzhuan Rd., Tamsui District, New Taipei, Taiwan.
| | - Shih-Hwa Chiou
- Department of Medical Research, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; Department of Ophthalmology, Taipei Veterans General Hospital, 112201 No.201, Sec. 2, Shipai Rd., Beitou District, Taipei, Taiwan; School of Medicine, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan; Institute of Pharmacology, National Yang Ming Chiao Tung University, 112304 No. 155, Sec. 2, Linong St. Beitou District, Taipei, Taiwan.
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Chang KJ, Wu HY, Yarmishyn AA, Li CY, Hsiao YJ, Chi YC, Lo TC, Dai HJ, Yang YC, Liu DH, Hwang DK, Chen SJ, Hsu CC, Kao CL. Genetics behind Cerebral Disease with Ocular Comorbidity: Finding Parallels between the Brain and Eye Molecular Pathology. Int J Mol Sci 2022; 23:ijms23179707. [PMID: 36077104 PMCID: PMC9456058 DOI: 10.3390/ijms23179707] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 08/18/2022] [Accepted: 08/22/2022] [Indexed: 11/30/2022] Open
Abstract
Cerebral visual impairments (CVIs) is an umbrella term that categorizes miscellaneous visual defects with parallel genetic brain disorders. While the manifestations of CVIs are diverse and ambiguous, molecular diagnostics stand out as a powerful approach for understanding pathomechanisms in CVIs. Nevertheless, the characterization of CVI disease cohorts has been fragmented and lacks integration. By revisiting the genome-wide and phenome-wide association studies (GWAS and PheWAS), we clustered a handful of renowned CVIs into five ontology groups, namely ciliopathies (Joubert syndrome, Bardet–Biedl syndrome, Alstrom syndrome), demyelination diseases (multiple sclerosis, Alexander disease, Pelizaeus–Merzbacher disease), transcriptional deregulation diseases (Mowat–Wilson disease, Pitt–Hopkins disease, Rett syndrome, Cockayne syndrome, X-linked alpha-thalassaemia mental retardation), compromised peroxisome disorders (Zellweger spectrum disorder, Refsum disease), and channelopathies (neuromyelitis optica spectrum disorder), and reviewed several mutation hotspots currently found to be associated with the CVIs. Moreover, we discussed the common manifestations in the brain and the eye, and collated animal study findings to discuss plausible gene editing strategies for future CVI correction.
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Affiliation(s)
- Kao-Jung Chang
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
| | - Hsin-Yu Wu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | | | - Cheng-Yi Li
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | - Yu-Jer Hsiao
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | - Yi-Chun Chi
- Department of Ophthalmology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
| | - Tzu-Chen Lo
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Department of Ophthalmology, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | - He-Jhen Dai
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Department of Medical Research, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | - Yi-Chiang Yang
- Department of Physical Medicine and Rehabilitation, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | - Ding-Hao Liu
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Department of Physical Medicine and Rehabilitation, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | - De-Kuang Hwang
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Department of Ophthalmology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
| | - Shih-Jen Chen
- Department of Ophthalmology, Taipei Veterans General Hospital, Taipei 11217, Taiwan
| | - Chih-Chien Hsu
- School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Department of Ophthalmology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung 80708, Taiwan
- Correspondence: (C.-C.H.); (C.-L.K.); Tel.: +886-2-287-573-25 (C.-C.H.); +886-2-287-573-63 (C.-L.K.)
| | - Chung-Lan Kao
- Institute of Clinical Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Department of Physical Medicine and Rehabilitation, Taipei Veterans General Hospital, Taipei 11217, Taiwan
- Department of Physical Medicine and Rehabilitation, School of Medicine, National Yang Ming Chiao Tung University, Taipei 112304, Taiwan
- Center for Intelligent Drug Systems and Smart Bio-Devices (IDS2B), National Yang Ming Chiao Tung University, Hsinchu 300093, Taiwan
- Correspondence: (C.-C.H.); (C.-L.K.); Tel.: +886-2-287-573-25 (C.-C.H.); +886-2-287-573-63 (C.-L.K.)
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Li XC, Wang MY, Yang M, Dai HJ, Zhang BF, Wang W, Chu XL, Wang X, Zheng H, Niu RF, Zhang W, Chen KX. A mutational signature associated with alcohol consumption and prognostically significantly mutated driver genes in esophageal squamous cell carcinoma. Ann Oncol 2019; 29:938-944. [PMID: 29351612 DOI: 10.1093/annonc/mdy011] [Citation(s) in RCA: 66] [Impact Index Per Article: 13.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Background Esophageal squamous cell carcinoma (ESCC) is often diagnosed at an advanced and incurable stage. Information on driver genes and prognosticators in ESCC remains incomplete. The objective was to elucidate significantly mutated genes (SMGs), mutational signatures, and prognosticators in ESCC. Patients and methods Three MutSig algorithms (i.e. MutSigCV, MutSigCL and MutSigFN) and '20/20+' ratio-metric were employed to identify SMGs. Nonnegative matrix factorization was used to decipher mutational signatures. Kaplan-Meier survival analysis, multivariate Cox and logistic regression models were applied to analyze association between mutational features and clinical parameters. Results We identified 26 SMGs, including 8 novel (NAV3, TENM3, PTCH1, TGFBR2, RIPK4, PBRM1, USP8 and BAP1) and 18 that have been previously reported. Three mutational signatures were identified to be prevalent in ESCC including clocklike C>T at CpG, APOBEC overactive C>T at TpCp[A/T], and a signature featured by T>C substitution. The T>C mutational signature was significantly correlated with alcohol consumption (OR: 3.59; 95% CI: 2.30-5.67; P < 0.001). This alcohol consumption signature was also observed in liver cancer and head and neck squamous cell carcinoma, and its mutational activity was substantially higher in samples with mutations in TP53. Survival analysis revealed that TENM3 mutations (HR: 5.54; CI: 2.68-11.45; P < 0.001) and TP53 hotspot mutation p.R213* (HR: 3.37; CI: 1.73-8.06; P < 0.001) were significantly associated with shortened survival outcome. The association remained statistically significant after controlling for age, gender, TNM stage and tumor grade. Conclusions We have uncovered several new SMGs in ESCC and defined an alcohol consumption related mutational signature. TENM3 mutations and the TP53 hotspot mutation p.R213* are independent prognosticators for poor survival in ESCC.
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Affiliation(s)
- X C Li
- Public Laborato, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - M Y Wang
- Beijing Genomics Institute-Shenzhen, Shenzhen, Guangdong, China
| | - M Yang
- Department of Epidemiology and Biostatisti, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China; Wake Forest Baptist Comprehensive Cancer Center, Wake Forest Baptist Medical Center, Winston-Salem, USA; Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, USA
| | - H J Dai
- Department of Epidemiology and Biostatisti, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - B F Zhang
- Beijing Genomics Institute-Shenzhen, Shenzhen, Guangdong, China
| | - W Wang
- Department of Epidemiology and Biostatisti, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - X L Chu
- Department of Epidemiology and Biostatisti, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - X Wang
- Department of Epidemiology and Biostatisti, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - H Zheng
- Department of Epidemiology and Biostatisti, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - R F Niu
- Public Laborato, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China
| | - W Zhang
- Wake Forest Baptist Comprehensive Cancer Center, Wake Forest Baptist Medical Center, Winston-Salem, USA; Department of Cancer Biology, Wake Forest School of Medicine, Winston-Salem, USA.
| | - K X Chen
- Department of Epidemiology and Biostatisti, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin Medical University Cancer Institute and Hospital, Tianjin, China.
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