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Xu F, Zhang K, Xu Q, Ye L, Zeng M, Jin Y, Wang M, Yang L. Analysis of PROC mutations and clinical features in 22 unrelated families with inherited protein C deficiency. Ann Hematol 2024; 103:645-652. [PMID: 37950050 DOI: 10.1007/s00277-023-05487-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2023] [Accepted: 09/27/2023] [Indexed: 11/12/2023]
Abstract
Currently, limited information is available in the literature regarding the relationships between PROC mutations and clinical features in Chinese individuals. We aimed to characterize severe congenital Protein C deficiency in 22 unrelated Chinese families in a tertiary hospital by analyzing its clinical manifestation, associated risk factors, and gene mutations. We measured protein C activity and antigen levels for all participants, screened them for mutations in the PROC gene, and analyzed the clinical features of each family to identify commonalities and differences. The analysis revealed a total of 75 individuals with PCD and 16 different PROC mutations, including 12 missense mutations and 4 deletion mutations. Among them, 11 who were compound heterozygotes or homozygotes for mutations tended to develop symptoms at a younger age without any clear triggers. In contrast, the remaining 64 individuals who were heterozygotes for mutations often had clear triggers for their symptoms and experienced a milder course of the disease. It is worth noting that the mutation c.565C > T occurred most frequently, being identified in 8 out of 22 families (36%). Our team also reported five novel mutations, including c.742-744delAAG, c.383G > A, c.997G > A, c.1318C > T, and c.833T > C mutations. The identification of five novel mutations adds to the richness of the Human Genome Database. Asymptomatic heterozygotes are not uncommon, and they are prone to develop symptoms with obvious triggers. The evidence presented strongly suggest that asymptomatic individuals with family history of protein C deficiency can benefit from mutational analysis of PROC gene.
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Affiliation(s)
- Fei Xu
- Department of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, China
| | - Ke Zhang
- Department of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, China
| | - Qiyu Xu
- Department of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, China
| | - Longying Ye
- Department of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, China
| | - Manlin Zeng
- Department of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, China
| | - Yanhui Jin
- Department of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, China
| | - Mingshan Wang
- Department of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, China
| | - Lihong Yang
- Department of Laboratory Medicine, Key Laboratory of Clinical Laboratory Diagnosis and Translational Research of Zhejiang Province, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015, China.
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Zhang Z, Yang Z, Chen M, Li Y. Compound heterozygous protein C deficiency with pulmonary embolism caused by a novel PROC gene mutation: Case report and literature review. Medicine (Baltimore) 2022; 101:e31221. [PMID: 36281079 PMCID: PMC9592271 DOI: 10.1097/md.0000000000031221] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/07/2022] Open
Abstract
RATIONALE Protein C is an anticoagulation agent, and protein C deficiency results in vascular thrombosis disease. Hereditary protein C deficiency is a risk factor for pulmonary embolism in adults. Pathogenic variants of the Protein C, Inactivator Of Coagulation Factors Va And VIIIa (PROC) gene which encodes protein C have been identified as a cause of protein C deficiency. PATIENT CONCERNS We describe a patient with a novel mutation in the PROC gene who was diagnosed with pulmonary embolism in a Chinese family. DIAGNOSIS According to the results of the pulmonary computed tomography angiography (CTA) and the level of blood protein C, the patient was diagnosed with pulmonary embolism caused by protein C deficiency. INTERVENTIONS Whole-exome sequencing (WES) was performed for the molecular analysis. OUTCOME The results of patient's deoxyribonucleic acid revealed a heterozygous mutation (c.237 + 5G > A) in intron 3 of the PROC gene. His father also harbored the same mutation in the PROC gene. We also reviewed the protein C deficiencies caused by PROC gene mutations in cases. LESSONS A novel mutation in intron 3 of PROC gene has not been previously reported in patients with pulmonary embolism caused by protein C deficiency. After anticoagulation therapy, the patient recovered, and CT showed resolution of the thrombosis. Pulmonary embolism may be caused by protein C deficiency and the rare compound heterozygous mutation in intron 3 of the PROC gene could cause protein C deficiency via impairment of the secretory activity of protein C.
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Affiliation(s)
- Zhaorui Zhang
- Department of Respiration, Eighth Medical Center of Chinese PLA General Hospital, Beijing City, People’s Republic of China
| | - Zhen Yang
- Department of Respiration, Eighth Medical Center of Chinese PLA General Hospital, Beijing City, People’s Republic of China
| | - Mei Chen
- Kingmed Diagnostic Group Co.Ltd, Guangzhou City, Guangdong Province, People’s Republic of China
| | - Yuzhu Li
- Department of Respiratory Disease, Hainan Hospital of Chinese PLA General Hospital, Hainan Province, People’s Republic of China
- * Correspondence: Yuzhu Li, Department of Respiration, The Hainan Hospital of PLA General Hospital, Haitang Harbour, Sanya City, Hainan Province 572013, People’s Republic of China (e-mail: )
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Wei WQ, Li X, Feng Q, Kubo M, Kullo IJ, Peissig PL, Karlson EW, Jarvik GP, Lee MTM, Shang N, Larson EA, Edwards T, Shaffer C, Mosley JD, Maeda S, Horikoshi M, Ritchie M, Williams MS, Larson EB, Crosslin DR, Bland ST, Pacheco JA, Rasmussen-Torvik LJ, Cronkite D, Hripcsak G, Cox NJ, Wilke RA, Michael Stein C, Rotter JI, Momozawa Y, Roden DM, Krauss RM, Denny JC. LPA Variants Are Associated With Residual Cardiovascular Risk in Patients Receiving Statins. Circulation 2018; 138:1839-1849. [PMID: 29703846 PMCID: PMC6202211 DOI: 10.1161/circulationaha.117.031356] [Citation(s) in RCA: 55] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/28/2018] [Accepted: 04/12/2018] [Indexed: 02/07/2023]
Abstract
BACKGROUND Coronary heart disease (CHD) is a leading cause of death globally. Although therapy with statins decreases circulating levels of low-density lipoprotein cholesterol and the incidence of CHD, additional events occur despite statin therapy in some individuals. The genetic determinants of this residual cardiovascular risk remain unknown. METHODS We performed a 2-stage genome-wide association study of CHD events during statin therapy. We first identified 3099 cases who experienced CHD events (defined as acute myocardial infarction or the need for coronary revascularization) during statin therapy and 7681 controls without CHD events during comparable intensity and duration of statin therapy from 4 sites in the Electronic Medical Records and Genomics Network. We then sought replication of candidate variants in another 160 cases and 1112 controls from a fifth Electronic Medical Records and Genomics site, which joined the network after the initial genome-wide association study. Finally, we performed a phenome-wide association study for other traits linked to the most significant locus. RESULTS The meta-analysis identified 7 single nucleotide polymorphisms at a genome-wide level of significance within the LPA/PLG locus associated with CHD events on statin treatment. The most significant association was for an intronic single nucleotide polymorphism within LPA/PLG (rs10455872; minor allele frequency, 0.069; odds ratio, 1.58; 95% confidence interval, 1.35-1.86; P=2.6×10-10). In the replication cohort, rs10455872 was also associated with CHD events (odds ratio, 1.71; 95% confidence interval, 1.14-2.57; P=0.009). The association of this single nucleotide polymorphism with CHD events was independent of statin-induced change in low-density lipoprotein cholesterol (odds ratio, 1.62; 95% confidence interval, 1.17-2.24; P=0.004) and persisted in individuals with low-density lipoprotein cholesterol ≤70 mg/dL (odds ratio, 2.43; 95% confidence interval, 1.18-4.75; P=0.015). A phenome-wide association study supported the effect of this region on coronary heart disease and did not identify noncardiovascular phenotypes. CONCLUSIONS Genetic variations at the LPA locus are associated with CHD events during statin therapy independently of the extent of low-density lipoprotein cholesterol lowering. This finding provides support for exploring strategies targeting circulating concentrations of lipoprotein(a) to reduce CHD events in patients receiving statins.
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Affiliation(s)
- Wei-Qi Wei
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
| | - Xiaohui Li
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics and Medicine at Harbor-UCLA, Torrance, CA
| | - Qiping Feng
- Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, TN
| | - Michiaki Kubo
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
| | - Iftikhar J Kullo
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN
| | - Peggy L. Peissig
- Marshfield Clinic Research Institute, Center for Precision Medicine Research, Marshfield, WI
| | - Elizabeth W. Karlson
- Division of Rheumatology, Immunology and Allergy, Brigham & Women’s Hospital and Harvard Medical School, Boston, MA
| | - Gail P. Jarvik
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington, Seattle, WA
| | | | - Ning Shang
- Department of Biomedical Informatics, Columbia University, New York, NY
| | - Eric A. Larson
- Sanford School of Medicine, University of South Dakota, Sioux Falls, SD
| | - Todd Edwards
- Vanderbilt Genetics Institute and the Division of Genetic Medicine, Vanderbilt University, Nashville, TN
| | - Christian Shaffer
- Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, TN
| | - Jonathan D. Mosley
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
- Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, TN
| | - Shiro Maeda
- RIKEN Center for Integrative Medical Sciences, Yokohama, Japan
- Department of Advanced Genomic and Laboratory Medicine, Graduate School of Medicine, University of the Ryukyus, Yokohama, Japan
- Division of Clinical Laboratory and Blood Transfusion, University of the Ryukyus Hospital, Yokohama, Japan
| | | | - Marylyn Ritchie
- Center for Translational Bioinformatics, Institute for Biomedical Informatics, Institute for Biomedical Informatics, Center for Precision Medicine, University of Pennsylvania, Philadelphia, PA
| | | | - Eric B. Larson
- Kaiser Permanente Washington Health Research Institute, Seattle, WA
| | - David R. Crosslin
- Department of Biomedical Informatics and Medical Education, University of Washington, Seattle, WA
| | - Sarah T. Bland
- Vanderbilt Institute for Clinical and Translational Research, Vanderbilt University Medical Center, Nashville, TN
| | | | | | - David Cronkite
- Departments of Medicine (Medical Genetics) and Genome Sciences, University of Washington, Seattle, WA
| | - George Hripcsak
- Department of Biomedical Informatics, Columbia University, New York, NY
| | - Nancy J. Cox
- Vanderbilt Genetics Institute and the Division of Genetic Medicine, Vanderbilt University, Nashville, TN
| | - Russell A Wilke
- Sanford School of Medicine, University of South Dakota, Sioux Falls, SD
| | - C. Michael Stein
- Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, TN
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences, Los Angeles Biomedical Research Institute and Department of Pediatrics and Medicine at Harbor-UCLA, Torrance, CA
| | | | - Dan M. Roden
- Division of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, TN
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | | | - Joshua C. Denny
- Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN
- Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
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