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Zhang B, Nurland RA, Guan Y, Zhou S, Lu M, Nuli R, Gao F, Wang X, Li K. Detection of Bartonella in kissing bugs Triatoma rubrofasciata collected from Huizhou City, South China. New Microbes New Infect 2023; 54:101170. [PMID: 37692291 PMCID: PMC10483044 DOI: 10.1016/j.nmni.2023.101170] [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: 05/16/2023] [Revised: 08/04/2023] [Accepted: 08/29/2023] [Indexed: 09/12/2023] Open
Abstract
Background The blood-feeding behavior of kissing bugs (subfamily Triatominae, family Reduviidae, order Hemiptera) means they are potential vectors of multiple humans pathogens. However, investigations of vector-borne pathogens harbored by kissing bugs are rare. Methods In the current study, 22 adult kissing bugs (Triatoma rubrofasciata) were captured in Huizhou City, Guangdong Province, south China. The presence of vector-borne pathogens in the kissing bugs was tested, and the genetic diversity of these potential pathogens was investigated. Results All the kissing bugs were negative for Anaplasmataceae bacteria, Rickettsia, and Coxiella. Bartonella DNA was detected in 36.4% (8/22) of the kissing bugs. The sequences of the Bartonella gltA genes divided into two clades in a phylogenetic tree, with close relationships to B. tribocorum and uncultured Bartonella sp. clone MYR-283, respectively. All the groEL sequences were closely related to those of B. kosoyi (identity 98.75%-100%). The ftsZ and rpoB sequences were most closely related to those of B. elizabethae, a recognized human pathogen, with nucleotide similarities of 98.70%-100% and 99.45%-100%, respectively. Conclusions We report the detection of Bartonella DNA in Triatoma kissing bugs in southern China. Although the sample size is limited, the high positive rate of detection of Bartonella DNA, the close relationship of the gene sequences to those of zoonotic Bartonella species, and the distribution of the kissing bugs near human residences, hint at a risk to public health.
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Affiliation(s)
- Bing Zhang
- Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, School of Basic Medical Sciences Xinjiang Medical University, 830011, Urumqi City, China
| | - Rewuzi Aguli Nurland
- Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, School of Basic Medical Sciences Xinjiang Medical University, 830011, Urumqi City, China
| | - Yaqun Guan
- Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, School of Basic Medical Sciences Xinjiang Medical University, 830011, Urumqi City, China
| | | | - Miao Lu
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Changping District, Beijing City, China
| | - Rebiya Nuli
- Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, School of Basic Medical Sciences Xinjiang Medical University, 830011, Urumqi City, China
| | - Fan Gao
- Xinjiang Key Laboratory of Molecular Biology for Endemic Diseases, School of Basic Medical Sciences Xinjiang Medical University, 830011, Urumqi City, China
| | - Xiao Wang
- Xinjiang 474 Hospital, 830000, Urumqi City, China
| | - Kun Li
- State Key Laboratory of Infectious Disease Prevention and Control, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, 102206, Changping District, Beijing City, China
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Zhao B, Nuli R, Jiao Y, Zhang B, Wang L, Guan Y. The Effects of Tangning Ziyabitusi on Gut Microbiota and T lymphocyte Subsets in Impaired Glucose Regulation Rats. FRONT BIOSCI-LANDMRK 2022; 27:278. [DOI: 10.31083/j.fbl2709278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2022] [Revised: 08/18/2022] [Accepted: 08/19/2022] [Indexed: 11/06/2022]
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Cai J, Nuli R, Zhang Y, Zhang Y, Abudusemaiti M, Kadeer A, Tian X, Xiao H. Association of Dietary Patterns with Type 2 Diabetes Mellitus among Middle-Aged Adults in Uygur Population of Xinjiang Region. J Nutr Sci Vitaminol (Tokyo) 2020; 65:362-374. [PMID: 31474687 DOI: 10.3177/jnsv.65.362] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/27/2022]
Abstract
Observational and interventional studies have showed associations between dietary patterns and the risk of type 2 diabetes (T2DM). The aim of the present study was to identify dietary patterns and examine their association with incident of T2DM and physiopathologic mechanism in the Uygur population of Xinjiang, China. A community-based case control study in Urumqi, Xinjiang Uygur Autonomous Region, China. We enrolled 836 Uygur adults (345 newly diagnosed T2DM and 491 healthy controls) receiving physical examination in community health service centers. Dietary patterns were evaluated using a validated 121 items semi-quantitative food frequency questionnaire (SQFFQ). Dietary patterns were identified by exploratory factor analysis. Data on demographic, anthropometric, socioeconomic characteristics were collected. Homeostasis model assessment index for insulin resistance (HOMA-IR) and for β cell function (HOMA-β) were calculated. Multivariate logistic regression were used to estimate the associations between dietary patterns and the risk of T2DM and multiple linear regression were used to evaluate the association between dietary patterns and fasting plasm glucose (FPG), fasting insulin (FINS), HOMA-IR and HOMA-β, adjusting for confounding factors. Five major dietary patterns were identified: (1) the "vegetable and tubes" pattern; (2) the "fruit and nut" pattern; (3) the "refined grains and meat" pattern; (4) the "dairy, legume and egg" pattern; and (5) the "oil and salt" pattern. Logistic regression results demonstrated that the "vegetable and tubes" dietary pattern and the "fruit and nut" dietary pattern were related to T2DM, OR values were 0.223 (95% CI: 0.135-0.371), 0.160 (95% CI: 0.093-0.275), respectively. The "refined grains and meat" dietary pattern and the "oil and salt" dietary pattern were related to T2DM, OR values were 6.146 (95% CI: 3.217-11.739), 9.554 (95% CI: 5.668-16.104), respectively. Multiple linear regression analysis showed that the above five dietary patterns were related to log (FPG), β values were -0.040, -0.039, 0.028, -0.010 and 0.036, respectively, all p<0.05. The "vegetable and tubes" pattern, the "fruit and nut" pattern, the "refined grains and meat" pattern and the "oil and salt" pattern were related to log (HOMA-IR), β values were -0.061, -0.060, 0.045, and 0.042, and were related to log (HOMA-β), β values were 0.071, 0.063, -0.035 and -0.070, respectively, all p<0.05. The "refined grains and meat" dietary pattern and the "oil and salt" dietary pattern may be the important reason for the rapid increase of T2DM incidence among Chinese Uygur residents. Our findings suggest that modifying dietary patterns could reduce T2DM incidence in the adult Uygur population.
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Affiliation(s)
- Junxiu Cai
- Fifth Affiliated Hospital of Xinjiang Medical University
| | - Rebiya Nuli
- Basic Medical Science Institute of Xinjiang Medical University
| | - Yan Zhang
- International Education College, Xinjiang Medical University
| | - Yangyi Zhang
- School of Public Health, Xinjiang Medical University
| | | | | | - Xiaoli Tian
- School of Public Health, Xinjiang Medical University
| | - Hui Xiao
- School of Public Health, Xinjiang Medical University
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Nuli R, Azhati J, Cai J, Kadeer A, Zhang B, Mohemaiti P. Metagenomics and Faecal Metabolomics Integrative Analysis towards the Impaired Glucose Regulation and Type 2 Diabetes in Uyghur-Related Omics. J Diabetes Res 2019; 2019:2893041. [PMID: 31828159 PMCID: PMC6885810 DOI: 10.1155/2019/2893041] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2019] [Accepted: 11/02/2019] [Indexed: 12/11/2022] Open
Abstract
OBJECTIVE Gut microbiota and their metabolites play an important role in the development of type 2 diabetes mellitus (T2DM). This research was designed to study the relationship between gut microbiota and faecal metabolites of Uyghur newly onset T2DM and impaired glucose regulation (IGR) patients. MATERIALS AND METHODS A total of 60 different glycemic Uyghur subjects were enrolled and divided into T2DM, IGR, and normal glucose tolerance (NGT) groups. Metagenomics and LC-MS-based untargeted faecal metabolomics were employed. Correlations between bacterial composition and faecal metabolomics were evaluated. RESULTS We discovered that the composition and diversity of gut microbiota in newly onset T2DM and IGR were different from those in NGT. The α-diversity was higher in NGT than in T2DM and IGR; β-diversity analysis revealed apparent differences in the bacterial community structures between patients with T2DM, IGR, and NGT. LC-MS faecal metabolomics analysis discovered different metabolomics features in the three groups. Alchornoic acid, PE (14 : 0/20 : 3), PI, L-tyrosine, LysoPC (15 : 0), protorifamycin I, pimelic acid, epothilone A, 7-dehydro-desmosterol, L-lysine, LysoPC (14 : 1), and teasterone are the most significant differential enriched metabolites. Most of the differential enriched metabolites were involved in metabolic processes, including carbohydrate metabolism, starch and sucrose metabolism, phenylpropanoid biosynthesis, and biosynthesis of amino acids. Procrustes analysis and correlation analysis identified correlations between gut microbiota and faecal metabolites. Matricin was positively correlated with Bacteroides and negatively correlated with Actinobacteria; protorifamycin I was negatively correlated with Actinobacteria; epothilone A was negatively correlated with Actinobacteria and positively correlated with Firmicutes; PA was positively correlated with Bacteroides and negatively correlated with Firmicutes; and cristacarpin was positively correlated with Actinobacteria; however, this correlation relationship does not imply causality. CONCLUSIONS This study used joint metagenomics and metabolomics analyses to elucidate the relationship between gut microbiota and faecal metabolites in different glycemic groups, and the result suggested that metabolic disorders and gut microbiota dysbiosis occurred in Uyghur T2DM and IGR. The results provide a theoretical basis for studying the pathological mechanism for further research.
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Affiliation(s)
- Rebiya Nuli
- School of Public Health, Xinjiang Medical University, Urumqi 830011, China
- College of Basic Medical Science, Xinjiang Medical University, Urumqi 830011, China
| | - Jureti Azhati
- The People's Hospital of Xinjiang Uyghur Autonomous Region, Urumqi 830001, China
| | - Junxiu Cai
- The Fifth Affiliated Hospital of Xinjiang Medical University, Urumqi 830000, China
| | - Aizhatiguli Kadeer
- School of Public Health, Xinjiang Medical University, Urumqi 830011, China
| | - Bing Zhang
- College of Basic Medical Science, Xinjiang Medical University, Urumqi 830011, China
| | - Patamu Mohemaiti
- School of Public Health, Xinjiang Medical University, Urumqi 830011, China
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Cai J, Zhang Y, Nuli R, Zhang Y, Abudusemaiti M, Kadeer A, Tian X, Xiao H. Interaction between dietary patterns and TCF7L2 polymorphisms on type 2 diabetes mellitus among Uyghur adults in Xinjiang Province, China. Diabetes Metab Syndr Obes 2019; 12:239-255. [PMID: 30858716 PMCID: PMC6385783 DOI: 10.2147/dmso.s191759] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
PURPOSE This study aimed to characterize dietary patterns in the Uyghur population and examined the relationship between dietary pattern, TCF7L2 single-nucleotide polymorphisms (SNPs), and the risk of type 2 diabetes mellitus (T2DM). PATIENTS AND METHODS Dietary patterns were defined using factor analysis, and associations between dietary patterns were evaluated using multivariate logistic regression analyses. Genotyping of seven SNPs of TCF7L2 (rs11196205, rs12255372, rs12573128, rs4506565, rs7895340, rs7901695, and rs7903146) was conducted, and the association between these seven SNPs and the risk of T2DM was evaluated. Interactions between SNPs, homeostasis model assessment-insulin resistance, and dietary patterns were also analyzed. RESULTS A total of 828 participants were enrolled in this study, including 491 people with T2DM and 337 healthy controls. Five dietary patterns were defined, and the results indicated that the "fruit" and "vegetables" dietary patterns were associated with a significant decrease in the risk of T2DM, whereas the "meats" and "grains" dietary patterns were associated with an increased risk of T2DM. Moreover, the "dairy product" dietary pattern showed no association with the risk of T2DM. Furthermore, our results revealed that the TCF7L2 SNP, rs12573128, is associated with an increased risk of T2DM. SNPs rs4506565 and rs7903146 significantly interacted with dietary pattern. CONCLUSION Our studies suggest that dietary pattern and genetic polymorphisms of TCF7L2 are associated with the development of T2DM in the Uyghur population of China.
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Affiliation(s)
- Junxiu Cai
- Department of Occupational and Environmental Health, School of Public Health, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China
- Medical Department, Fifth Affiliated Hospital, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China
| | - Yan Zhang
- Department of Pathology, Basic Medical Science Institute, International Education College, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China
| | - Rebiya Nuli
- Department of Human Parasitology, Basic Medical Science Institute, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China
| | - Yangyi Zhang
- Department of Nutrition and Food Hygiene, School of Public Health, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China,
| | - Manfutong Abudusemaiti
- Department of Nutrition and Food Hygiene, School of Public Health, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China,
| | - Aizhatiguli Kadeer
- Department of Epidemiology and Statistics, School of Public Health, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China
| | - Xiaoli Tian
- Department of Nutrition and Food Hygiene, School of Public Health, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China,
| | - Hui Xiao
- Department of Nutrition and Food Hygiene, School of Public Health, Xinjiang Medical University, Urumqi 830011, Xinjiang Uygur Autonomous Region, China,
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Nuli R, Cai J, Kadeer A, Zhang Y, Mohemaiti P. Integrative Analysis Toward Different Glucose Tolerance-Related Gut Microbiota and Diet. Front Endocrinol (Lausanne) 2019; 10:295. [PMID: 31191448 PMCID: PMC6546033 DOI: 10.3389/fendo.2019.00295] [Citation(s) in RCA: 39] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 04/24/2019] [Indexed: 12/17/2022] Open
Abstract
Objective: There is evidence that type 2 diabetes (T2DM) is affected by gut microbiota, and gut microbiota diversity modified by diet. To investigate its modifications in Uyghur patients with different glucose tolerance, we enrolled 561 subjects: newly diagnosed T2DM (n = 145), impaired glucose regulation (IGR) patients (n = 138) and in normal control (NC) population (n = 278). Methods: The nutrient intake in food frequency questionnaire was calculated by R language. The regions V3-V4 of 16S ribosomal RNA were sequenced by using Illumina Miseq platform. Sequences were clustered by operational taxonomy units, gut microbiota composition, and diversity was analyzed. Correlations between bacterial composition at different level and dietary factors were evaluated. Results: The α-diversity was highest in NC, followed by T2DM and IGR; β-diversity distinguished between patients and NC. Compared to NC, Saccharibacteria was significantly increased in T2DM and IGR. Deferribacteres was significantly increased in T2DM compared to NC and IGR. Veillonella, Pasteurellaceae, and Haemophilus were over-represented in IGR. Abundance of Bacteroidetes was negatively correlated with LDL-C; Abundance of Tenericutes was negatively correlated with hip circumference and total cholesterol, positively correlated with HDL-C and cake intake; Actinobacteria was positively correlated with BMI and folic acid intake, negatively correlated with oil intake. Firmicutes was negatively correlated with beverage and alcohol intake. Spirochaetae was negatively correlated with fungus, fruits, beans, vitamin C, dietary fiber, and calcium. Fusobacteria was positively correlated with beans intake, and was negatively correlated with fat intake. Proteobacteria was positively correlated with tuber crops intake. Synergistetes was positively correlated with cholesterol, nicotinic acid, and selenium intake. Deferribacteres was negatively correlated with magnesium intake. Conclusions: At the phylum and genus level, the structure and diversity of intestinal microbiota of T2DM and IGR was altered, the number of OTUs, the relative abundance, and diversity were all decreased. The gut microbiota of the newly diagnosed T2DM, IGR, and NC were related to age, blood lipids, BMI, blood pressure, and dietary nutrient intake. Unbalanced nutrient intake in the three groups may affect the structure and abundance of the gut microbiota, which may play a role in the occurrence and development of T2DM.
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Affiliation(s)
- Rebiya Nuli
- School of Public Health, Xinjiang Medical University, Ürümqi, China
- College of Basic Medical Science, Xinjiang Medical University, Ürümqi, China
| | - Junxiu Cai
- Medical Department, The Fifth Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | | | - Yangyi Zhang
- Health Management Institute, The First Affiliated Hospital of Xinjiang Medical University, Ürümqi, China
| | - Patamu Mohemaiti
- School of Public Health, Xinjiang Medical University, Ürümqi, China
- *Correspondence: Patamu Mohemaiti
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Nuli R, Mohemaiti P, Yimamu Y, Taxitiemuer A. Sequencing MODY1-6 genes in Uyghur Early-onset diabetes pedigree. Indian J Endocrinol Metab 2011; 15:60-61. [PMID: 21584173 PMCID: PMC3079876 DOI: 10.4103/2230-8210.77591] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/04/2022] Open
Affiliation(s)
- Rebiya Nuli
- Occupational and Environmental Health Department, School of Public Health, Xinjiang Medical University, Xinyi Road, 393, Urumqi. Xinjiang Province 830011, P.R. China
| | - Patamu Mohemaiti
- Occupational and Environmental Health Department, School of Public Health, Xinjiang Medical University, Xinyi Road, 393, Urumqi. Xinjiang Province 830011, P.R. China
| | - Yilihamujan Yimamu
- Department of Endocrinology, First Affiliated Hospital of Xinjiang Medical University. Urumqi. Xinjiang Province 830011, P.R. China
| | - Aierken Taxitiemuer
- Occupational and Environmental Health Department, School of Public Health, Xinjiang Medical University, Xinyi Road, 393, Urumqi. Xinjiang Province 830011, P.R. China
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