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Wang Y, Liu Y, Du G, Liu Y, Zeng Y. Epidemiology and distribution of 207 rare diseases in China: A systematic literature review. Intractable Rare Dis Res 2024; 13:73-88. [PMID: 38836174 PMCID: PMC11145401 DOI: 10.5582/irdr.2024.01001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/06/2024] [Revised: 02/16/2024] [Accepted: 04/03/2024] [Indexed: 06/06/2024] Open
Abstract
Epidemiological data on rare diseases in China are currently limited. The objective of this study was to provide a comprehensive understanding of the prevalence and incidence of rare diseases by systematically analyzing the available epidemiological data. We conducted a comprehensive search of English and Chinese databases, the Incidence and Prevalence Database, the Chinese Rare Disease Guideline, and the Taiwan Health Promotion Administration from 2010 to 2023. We identified the top diseases and regions based on epidemiological data and present the maximum, minimum, and median prevalence and incidence values in tables and forest plots. 1,264 prevalence and incidence data were retrieved from 277 studies, guidelines and official websites, covering 110 rare diseases (53.1%) and 32 regions (94.1%). In terms of geographical regions, incidence or prevalence data were available for 32 regions (94.1%), excluding Tibet Hui Autonomous Region and Macao Special Administrative Region. In terms of rate, 60 and 77 out of 207 diseases (29.0% and 37.2%) had available incidence and prevalence data, respectively. Eight diseases had an incidence rate equal to or greater than that of 1,000 patients per million. The present study provides a comprehensive epidemiological analysis and valuable insights into the prevalence and incidence of rare diseases in China. Our findings underscore the pressing need for sustained drug research and medical support for individuals and families impacted by rare diseases.
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Affiliation(s)
| | | | | | - Yonghui Liu
- School of Medicine, Tongji University, Shanghai, China
| | - Ying Zeng
- School of Medicine, Tongji University, Shanghai, China
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Hou X, Zhang R, Yang M, Niu N, Zong W, Yang L, Li H, Hou R, Wang X, Wang L, Liu X, Shi L, Zhao F, Wang L, Zhang L. Characteristics of Transcriptome and Metabolome Concerning Intramuscular Fat Content in Beijing Black Pigs. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2023; 71:15874-15883. [PMID: 37847170 DOI: 10.1021/acs.jafc.3c02669] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/18/2023]
Abstract
To study the characteristics of genes and metabolites related to intramuscular fat (IMF) content with less influence by breed background and individual differences, the skeletal muscle samples from 40 Beijing black pigs with either high or low IMF content were used to perform transcriptome and metabolome analyses. About 99 genes (twofold-change) were differentially expressed. Up-regulated genes in the high IMF pigs were mainly related to fat metabolism. The key genes in charge of IMF deposition are ADIPOQ, CIDEC, CYP4B1, DGAT2, LEP, OPRL1, PLIN1, SCD, and THRSP. KLHL40, TRAFD1, and HSPA6 were novel candidate genes for the IMF trait due to their high abundances. In the low IMF pigs, the differentially expressed genes involved in virus resistance were up-regulated. About 16 and 18 differential metabolites (1.5 fold-change) were obtained in the positive and negative modes, respectively. Pigs with low IMF had weaker fatty acid oxidation due to the down-regulation of various carnitines. Differentially expressed genes were more important in determining IMF deposition than differential metabolites because relatively few differential metabolites were obtained, and they were merely the products under the physiological status of diverged IMF content. This study provided valuable information for further studies on IMF deposition.
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Affiliation(s)
- Xinhua Hou
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Run Zhang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Man Yang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Naiqi Niu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Wencheng Zong
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Liyu Yang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Huihui Li
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Renda Hou
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Xiaoqing Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Ligang Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Xin Liu
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Lijun Shi
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Fuping Zhao
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Lixian Wang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
| | - Longchao Zhang
- Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, PR China
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Wang Y, Gao Q, Wang W, Xin X, Yin Y, Zhao C, Jin Y. Identification of two novel ACAT1 variant associated with beta-ketothiolase deficiency in a 9-month-old boy. J Pediatr Endocrinol Metab 2022; 35:1194-1200. [PMID: 35850931 DOI: 10.1515/jpem-2022-0158] [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] [Received: 03/28/2022] [Accepted: 06/20/2022] [Indexed: 11/15/2022]
Abstract
OBJECTIVES Mitochondrial acetoacetyl-CoA thiolase (beta-ketothiolase, T2) is necessary for the catabolism of ketone bodies andisoleucine. T2 deficiency is an autosomal recessive metabolic disorder caused by variant in the ACAT1 gene. In this report, we describe two novel ACAT1 variant identified in a Chinese family. CASE PRESENTATION The 9-month-old male proband was admitted to the pediatric intensive care unit for altered consciousness. At the time of admission, the patient had acidosis, drowsiness, and respiratory failure. Both urine organic acid analyses and LC-MS/MS suggested T2 deficiency. Novel compound heterozygous variant (c.871G>C and c.1016_1017del) in the ACAT1 gene were detected in the proband by WES and verified through direct sequencing. Family analysis demonstrated that the first variant was transmitted from his father and the second variant was from his mother, indicating autosomal recessive inheritance. This report is the first to describe the association of these variant with T2 deficiency based on genetic testing. Although these variant were identified in the patient's elder sister and elder brother, they continue to be asymptomatic. CONCLUSIONS We identified two novel ACAT1 variants associated with T2 deficiency. The identification expands the spectrum of known variant linked to the disorder.
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Affiliation(s)
- Yujuan Wang
- Department of Pediatric Intensive Care Unit, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, P.R. China
| | - Qian Gao
- Department of Pediatric Intensive Care Unit, Shandong Provincial Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong Province, P.R. China
| | - Wei Wang
- Department of Pediatric Intensive Care Unit, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, P.R. China
| | - Xiaowei Xin
- Department of Pediatric Intensive Care Unit, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, P.R. China
| | - Yi Yin
- Department of Pediatric Intensive Care Unit, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, P.R. China
| | - Chun Zhao
- Department of Pediatric Intensive Care Unit, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, P.R. China
| | - Youpeng Jin
- Department of Pediatric Intensive Care Unit, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong Province, P.R. China
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Maiorana A, Lepri FR, Novelli A, Dionisi-Vici C. Hypoglycaemia Metabolic Gene Panel Testing. Front Endocrinol (Lausanne) 2022; 13:826167. [PMID: 35422763 PMCID: PMC9001947 DOI: 10.3389/fendo.2022.826167] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Accepted: 02/21/2022] [Indexed: 12/31/2022] Open
Abstract
A large number of inborn errors of metabolism present with hypoglycemia. Impairment of glucose homeostasis may arise from different biochemical pathways involving insulin secretion, fatty acid oxidation, ketone bodies formation and degradation, glycogen metabolism, fructose and galactose metabolism, branched chain aminoacids and tyrosine metabolism, mitochondrial function and glycosylation proteins mechanisms. Historically, genetic analysis consisted of highly detailed molecular testing of nominated single genes. However, more recently, the genetic heterogeneity of these conditions imposed to perform extensive molecular testing within a useful timeframe via new generation sequencing technology. Indeed, the establishment of a rapid diagnosis drives specific nutritional and medical therapies. The biochemical and clinical phenotypes are critical to guide the molecular analysis toward those clusters of genes involved in specific pathways, and address data interpretation regarding the finding of possible disease-causing variants at first reported as variants of uncertain significance in known genes or the discovery of new disease genes. Also, the trio's analysis allows genetic counseling for recurrence risk in further pregnancies. Besides, this approach is allowing to expand the phenotypic characterization of a disease when pathogenic variants give raise to unexpected clinical pictures. Multidisciplinary input and collaboration are increasingly key for addressing the analysis and interpreting the significance of the genetic results, allowing rapidly their translation from bench to bedside.
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Affiliation(s)
- Arianna Maiorana
- Division of Metabolism, Department of Pediatrics Subspecialties, Ospedale Pediatrico Bambino Gesù, IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Rome, Italy
- *Correspondence: Arianna Maiorana,
| | - Francesca Romana Lepri
- Laboratory of Medical Genetics, Translational Cytogenomics Research Unity, Ospedale Pediatrico Bambino Gesù, IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Rome, Italy
| | - Antonio Novelli
- Laboratory of Medical Genetics, Translational Cytogenomics Research Unity, Ospedale Pediatrico Bambino Gesù, IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Rome, Italy
| | - Carlo Dionisi-Vici
- Division of Metabolism, Department of Pediatrics Subspecialties, Ospedale Pediatrico Bambino Gesù, IRCCS (Istituto di Ricovero e Cura a Carattere Scientifico), Rome, Italy
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