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Wang Y, Lai X, Liu R, Li J, Ren G, Lu X, Wu Y, Khan J, Yu X, Qiang Y, Lei S, Zhang Y, Lu G. Molecular prevalence and subtype characteristics of Blastocystis among school children in Hainan, the tropical island province of China. Acta Trop 2024; 258:107353. [PMID: 39122102 DOI: 10.1016/j.actatropica.2024.107353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2024] [Revised: 08/01/2024] [Accepted: 08/02/2024] [Indexed: 08/12/2024]
Abstract
Blastocystis is one of the most common zoonotic intestinal protozoa with global distribution and can cause gastrointestinal syndrome mainly characterized by diarrhea. School children are the main susceptible population. No epidemiological data on Blastocystis among school children in Hainan, the only tropical island province in China. Between March 2021 and June 2023, 1973 fecal samples were collected from school children across three regions in Hainan province. Blastocystis was examined by amplifying the small subunit ribosomal RNA (SSU rRNA) gene via polymerase chain reaction (PCR), and subtypes were identified through DNA sequencing and phylogenetic analysis. The overall prevalence of Blastocystis was 7.3 % (144/1973). The differences in infection rates across different regions, nationalities, and educational stages are statistically significant (P < 0.001). Five subtypes were identified, of which ST3 was the dominant subtype (60.4 %; 87/144), followed by ST1 (27.8 %; 40/144), ST7 (10.4 %; 15/144), ST6 (0.7 %; 1/144), and ST2 (0.7 %; 1/144). 42 known sequences and 15 novel sequences were identified including eight new variations of the ST1 (ST1-16∼ST1-23) with similarities ranging from 98.3 % to 99.78 % and seven new variations of the ST7 (ST7-7∼ST7-13) with similarities ranging from 97.7 % to 99.79 % by intra-subtype genetic polymorphisms analysis. The results evaluate the public health risks of Blastocystis among school children in Hainan and the sources of infection were discussed, providing important basic data for the effective prevention and control of intestinal parasitic diseases in Hainan.
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Affiliation(s)
- Yuan Wang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education; Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Department of Pathogenic Biology, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China
| | - Xiuyi Lai
- Key Laboratory of Tropical Translational Medicine of Ministry of Education; Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Department of Pathogenic Biology, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China
| | - Rui Liu
- Department of Tropical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou 571199, China
| | - Jiaqi Li
- Key Laboratory of Tropical Translational Medicine of Ministry of Education; Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Department of Pathogenic Biology, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China; Department of Nuclear Medicine, 928 Hospital of PLA Joint Logistics Force, Haikou 571199, China
| | - Guangxu Ren
- Key Laboratory of Tropical Translational Medicine of Ministry of Education; Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Department of Pathogenic Biology, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China
| | - Xin Lu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education; Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Department of Pathogenic Biology, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China
| | - Yuexiao Wu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education; Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Department of Pathogenic Biology, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China
| | - Jehangir Khan
- Hainan General Hospital, Hainan Affiliated Hospital of Hainan Medical University, Haikou, 571199, China; Zoology Department, Abddul Wali Khan University, Mardan, KP, 25000, Pakistan
| | - Xingyue Yu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education; Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Department of Pathogenic Biology, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China
| | - Yu Qiang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education; Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Department of Pathogenic Biology, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China
| | - Sheng Lei
- Key Laboratory of Tropical Translational Medicine of Ministry of Education; Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Department of Pathogenic Biology, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China
| | - Yun Zhang
- Key Laboratory of Tropical Translational Medicine of Ministry of Education; Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Department of Pathogenic Biology, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China.
| | - Gang Lu
- Key Laboratory of Tropical Translational Medicine of Ministry of Education; Hainan Medical University-The University of Hong Kong Joint Laboratory of Tropical Infectious Diseases, Department of Pathogenic Biology, School of Basic Medicine and Life Sciences, Hainan Medical University, Haikou 571199, China; Department of Tropical Diseases, The Second Affiliated Hospital of Hainan Medical University, Haikou 571199, China.
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Ge L, Liu J, Lin B, Qin X. Progress in understanding primary glomerular disease: insights from urinary proteomics and in-depth analyses of potential biomarkers based on bioinformatics. Crit Rev Clin Lab Sci 2023:1-20. [PMID: 36815270 DOI: 10.1080/10408363.2023.2178378] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/24/2023]
Abstract
Chronic kidney disease (CKD) has become a global public health challenge. While primary glomerular disease (PGD) is one of the leading causes of CKD, the specific pathogenesis of PGD is still unclear. Accurate diagnosis relies largely on invasive renal biopsy, which carries risks of bleeding, pain, infection and kidney vein thrombosis. Problems with the biopsy procedure include lack of glomeruli in the tissue obtained, and the sampling site not being reflective of the overall lesion in the kidney. Repeated renal biopsies to monitor disease progression cannot be performed because of the significant risks of bleeding and kidney vein thrombosis. On the other hand, urine collection, a noninvasive method, can be performed repeatedly, and urinary proteins can reflect pathological changes in the urinary system. Advancements in proteomics technologies, especially mass spectrometry, have facilitated the identification of candidate biomarkers in different pathological types of PGD. Such biomarkers not only provide insights into the pathogenesis of PGD but also are important for diagnosis, monitoring treatment, and prognosis. In this review, we summarize the findings from studies that have used urinary proteomics, among other omics screens, to identify potential biomarkers for different types of PGD. Moreover, we performed an in-depth bioinformatic analysis to gain a deeper understanding of the biological processes and protein-protein interaction networks in which these candidate biomarkers may participate. This review, including a description of an integrated analysis method, is intended to provide insights into the pathogenesis, noninvasive diagnosis, and personalized treatment efforts of PGD and other associated diseases.
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Affiliation(s)
- Lili Ge
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China.,Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
| | - Jianhua Liu
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China.,Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
| | - Baoxu Lin
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China.,Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
| | - Xiaosong Qin
- Department of Laboratory Medicine, Shengjing Hospital of China Medical University, Shenyang, China.,Liaoning Clinical Research Center for Laboratory Medicine, Shenyang, China
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Liu Y, Song L, Zheng N, Shi J, Wu H, Yang X, Xue N, Chen X, Li Y, Sun C, Chen C, Tang L, Ni X, Wang Y, Shi Y, Guo J, Wang G, Zhang Z, Qin J. A urinary proteomic landscape of COVID-19 progression identifies signaling pathways and therapeutic options. SCIENCE CHINA. LIFE SCIENCES 2022; 65:1866-1880. [PMID: 35290573 PMCID: PMC8922985 DOI: 10.1007/s11427-021-2070-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 09/15/2021] [Accepted: 01/24/2022] [Indexed: 02/06/2023]
Abstract
Signaling pathway alterations in COVID-19 of living humans as well as therapeutic targets of the host proteins are not clear. We analyzed 317 urine proteomes, including 86 COVID-19, 55 pneumonia and 176 healthy controls, and identified specific RNA virus detector protein DDX58/RIG-I only in COVID-19 samples. Comparison of the COVID-19 urinary proteomes with controls revealed major pathway alterations in immunity, metabolism and protein localization. Biomarkers that may stratify severe symptoms from moderate ones suggested that macrophage induced inflammation and thrombolysis may play a critical role in worsening the disease. Hyper activation of the TCA cycle is evident and a macrophage enriched enzyme CLYBL is up regulated in COVID-19 patients. As CLYBL converts the immune modulatory TCA cycle metabolite itaconate through the citramalyl-CoA intermediate to acetyl-CoA, an increase in CLYBL may lead to the depletion of itaconate, limiting its anti-inflammatory function. These observations suggest that supplementation of itaconate and inhibition of CLYBL are possible therapeutic options for treating COVID-19, opening an avenue of modulating host defense as a means of combating SARS-CoV-2 viruses.
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Affiliation(s)
- Yuntao Liu
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,Guangdong Provincial Key Laboratory of Research on Emergency in TCM, Guangzhou, 510120, China
| | - Lan Song
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Nairen Zheng
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Jinwen Shi
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Hongxing Wu
- Beijing Pineal Health Management Co. Ltd, Beijing, 102206, China
| | - Xing Yang
- Beijing Pineal Health Management Co. Ltd, Beijing, 102206, China
| | - Nianci Xue
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China.,State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Xing Chen
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510060, China
| | - Yimin Li
- The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510120, China.,Guangzhou Institute of Respiratory Disease, Guangzhou, 510120, China
| | - Changqing Sun
- Joint Center for Translational Medicine, Tianjin Medical University Baodi Clinical College, Tianjin, 301800, China
| | - Cha Chen
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China
| | - Lijuan Tang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China
| | - Xiaotian Ni
- Beijing Pineal Health Management Co. Ltd, Beijing, 102206, China
| | - Yi Wang
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China
| | - Yaling Shi
- Guangzhou Eighth People's Hospital, Guangzhou Medical University, Guangzhou, 510060, China.
| | - Jianwen Guo
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China. .,Guangdong Provincial Key Laboratory of Research on Emergency in TCM, Guangzhou, 510120, China.
| | - Guangshun Wang
- Joint Center for Translational Medicine, Tianjin Medical University Baodi Clinical College, Tianjin, 301800, China.
| | - Zhongde Zhang
- The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, 510120, China. .,Guangdong Provincial Key Laboratory of Research on Emergency in TCM, Guangzhou, 510120, China.
| | - Jun Qin
- State Key Laboratory of Proteomics, Beijing Proteome Research Center, National Center for Protein Sciences (Beijing), Beijing Institute of Lifeomics, Beijing, 102206, China.
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Abstract
From the theory of homeostasis, it can be deduced that urine is the source of sensitive disease markers reflecting early changes of the body. The study of urinary biomarkers using animal models is essential to prove this theory and encourage people to continue exploring the potential of urine. In clinical research, when disease-related changes are greater than individual variances, disease-related biomarkers with potential clinical application can be obtained by directly dividing samples into disease groups and control groups. To discover small early changes in disease, pre-and-post control of the same person can minimize most interfering factors. In this way, changes in urinary proteins before, during and after disease and/or treatment can be found, which can provide useful information for early detection and evaluation of the disease condition and treatment effect. In the study of clinical urinary biomarkers, regional and ethnic factors cannot be completely ignored. Diseases such as autism, which have only social behavior changes, may also be reflected in the urine proteome. Current research on urinary biomarkers is not sufficient to earn the recognition it deserves in the field of biomarkers. The recognition of urinary biomarkers will require the cooperation of more doctors and scientists and the participation of more foundations and companies.
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