Jiang-Hong Dai

Prof. Dr. Jiang-Hong Dai

School of Public Health, Xinjiang Medical University

Research Focus & Metrics

Academic Career Length

14Years (2013-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 November 2022 in Cardiovascular Diabetology
Verified
Journal Article
Open access
PDF file
TQTingting Qiao
Tingting Qiao
TLTao Luo
Tao Luo
HPHualian Pei
Hualian Pei
BYBahegu Yimingniyazi
Bahegu Yimingniyazi
DADilihumaer Aili
Dilihumaer Aili
DWDuolao Wang
Duolao Wang
Background: Waist circumference (WC), visceral adiposity index (VAI), lipid accumulation product (LAP), and Chinese visceral adiposity index (CVAI) are considered surrogate indicators of abdominal fat deposition, but the longitudinal association of these indices with cardiovascular (CV) events in adults with type 2 diabetes (T2D) remains unclear. Our study aimed to examine the associations between abdominal obesity indices and incident CV events among people with T2D and to compare their predictive performance in risk assessment. Methods: The present study included 2328 individuals with T2D from the Xinjiang Multi-Ethnic Cohort. Multivariable Cox regression analyses were applied to assess the associations between abdominal obesity indices and CV events. Harrell's concordance statistic (C-statistic), net reclassification improvement (NRI) index, and integrated discrimination improvement (IDI) index were utilized to evaluate the predictive performance of each abdominal obesity index. Results: At a median follow-up period of 59 months, 289 participants experienced CV events. After multivariable adjustment, each 1-SD increase in WC, VAI, LAP, and CVAI was associated with a higher risk of CV events in people with T2D, with adjusted hazard ratios (HRs) being 1.57 [95% CI (confidence interval): 1.39–1.78], 1.11 (95% CI 1.06–1.16), 1.46 (95% CI 1.36–1.57), and 1.78 (95% CI 1.57–2.01), respectively. In subgroup analyses, these positive associations appeared to be stronger among participants with body mass index (BMI) < 25 kg/m2 compared to overweight/obese participants. As for the predictive performance, CVAI had the largest C-statistic (0.700, 95% CI 0.672–0.728) compared to VAI, LAP, WC, and BMI (C-statistic: 0.535 to 0.670, all P for comparison < 0.05). When the abdominal obesity index was added to the basic risk model, the CVAI index also showed the greatest incremental risk stratification (C-statistic: 0.751 vs. 0.701, P < 0.001; IDI: 4.3%, P < 0.001; NRI: 26.6%, P < 0.001). Conclusions: This study provided additional evidence that all abdominal obesity indices were associated with the risk of CV events and highlighted that CVAI might be a valuable abdominal obesity indicator for identifying the high risk of CV events in Chinese populations with T2D. These results suggest that proactive assessment of abdominal obesity could be helpful for the effective clinical management of the diabetic population.

1 February 2020 in Experimental Gerontology
Verified
Journal Article
Closed access
LYLei Yang
Lei Yang
XYXuemei Yao
Xuemei Yao
JSJing Shen
Jing Shen
GSGaofeng Sun
Gaofeng Sun
QSQi Sun
Qi Sun
HXHui XIAO
Hui XIAO

1 August 2021 in Diabetes, Metabolic Syndrome and Obesity
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Journal Article
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TTTian Tian
Tian Tian
XZXiaobo Zhang
Xiaobo Zhang
TLTao Luo
Tao Luo
DWDuolao Wang
Duolao Wang
YSYuping Sun
Yuping Sun
JDJiang-Hong Dai
Jiang-Hong Dai
Gut microbiota are critical to many aspects of human health including immune and metabolic health. Long-term diet influences the community structure and activity of the trillions of microorganisms residing in the human gut, but it remains unclear how the human gut microbiome responds to short-term intervention with dietary fiber. This study explored the effects of mixed dietary fibers on gut microbiota in young, healthy people. Twelve healthy, young adults participated in a randomized, crossover trial comparing the effects of polyglucan, inulin and resistant malt dextrin on gut microbiota composition and bacterial abundances. During the study, the subjects followed their normal diets without any constraints. Microbial community profiles were determined by absolute quantification 16S rRNA gene amplicon sequencing. Mixed model analysis did not reveal an effect of dietary intervention on microbial community structure. At the genus level, dietary fiber intervention for 4 days significantly promoted the growth of Alloprevotella, Parabacteroides and Parasutterella and inhibited the growth of Adlercreutzia, Anaerovorax, Enterococcus, Intestinibacter and Ruminococcus 2 compared with the baseline. Addition of whey albumen powder for 4 days promoted the growth of Corynebacterium, Collinsella, Olsenella and Lactococcus but interfered with the growth of Megasphaera. Our results should be corroborated by randomized clinical trials with large sample size.

24 March 2021 in PeerJ
Verified
Journal Article
Open access
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ZZZewen Zhang
Zewen Zhang
TTTian Tian
Tian Tian
ZCZhen Chen
Zhen Chen
LLLirong Liu
Lirong Liu
TLTao Luo
Tao Luo
JDJiang-Hong Dai
Jiang-Hong Dai
Background: Gut microbiome has recently been identified as a new potential risk factor in addition to well-known diabetes risk factors. The aim of this study was to analyze the differences in the composition of gut microbiome in prediabetes(PreDM), type 2 diabetes mellitus (T2DM) and non-diabetic controls. Methods: A total of 180 participants were recruited for this study: 60 with T2DM, 60 with PreDM and 60 non-diabetics (control group). Fecal samples were collected from the participants and genomic DNA was extracted. The composition and diversity of gut microbiome were investigated in fecal DNA samples using Illumina sequencing of the V3∼V4 regions of 16sRNA. Results: There were significant differences in the number of bacteria among patients with PreDM and T2DM and the control group. Compared with the control group, Proteobacteria bacteria were significantly higher in the PreDM group (P = 0.006). On the genus level, Compared with the control group, the relative abundance of Prevotella and Alloprevotella was significantly higher in the T2DM group (P = 0.016, P = 0.018), and the relative abundance of Paraprevotella in T2DM and PreDM groups was lower than that in the control group (P = 0.011, P = 0.045). Compared with the PreDM group and the control group, the relative abundance of Bacteroides in the T2DM group was significantly lower (P = 0.019, P = 0.002). Conclusions: The present study found significant differences in the gut microbiome between PreDM, T2DM and non-diabetic individuals, specifically at the genus level, suggesting that early intervention in PreDM patients could have implications for gut flora transitioning to T2DM. In addition, these results may be valuable for developing strategies to control T2DM by modifying the gut microbiome.

10 February 2020 in PeerJ
Verified
Journal Article
Open access
PDF file
TTTian Tian
Tian Tian
HPHualian Pei
Hualian Pei
ZCZhen Chen
Zhen Chen
GHGulisiya Hailili
Gulisiya Hailili
SWShuxia Wang
Shuxia Wang
JDJiang-Hong Dai
Jiang-Hong Dai
Purpose: We aimed to assess if lipid accumulation product (LAP) could outperform body mass index (BMI) as a marker for diabetes diagnosis. Methods: We analyzed the results of a national physical examination project in Urumqi, China. This project was conducted in 442 community clinics in Urumqi from October 2016 to February 2017. Results: LAP was highly correlated with diabetes. The subjects with higher amounts of LAP had a higher risk of diabetes, and the prevalence of diabetes in the fourth quartile of LAP was dramatically higher than in the first quartile (5.72% vs. 21.76%). The adjusted odds ratios (AOR) associated with diabetes in the fourth quartile of LAP was significantly higher than the AOR associated with diabetes in the first quartile, and when BMI ≥ 28 kg/m2 was compared with BMI < 28 kg/m2 (3.24 (3.11, 3.37) vs. 1.65 (1.60, 1.70)). The LAP’s area under the curve (AUC) was significantly higher than the BMI’s AUC when based on diabetes (0.655 vs. 0.604). In the normal BMI group, 34% of participants had a LAP value higher than the cutoff point found during ROC analysis. In this subgroup, we observed a significantly higher prevalence of diabetes that was similar to that of the subgroup with a BMI ≥ 28 kg/m2, and both of their LAP values were higher than the cutoff point. Conclusion: When use as a tool for diabetes diagnosis, LAP performed better than BMI, implying that LAP could be a preferable anthropometry assessment.

25 September 2018 in Human Vaccines & Immunotherapeutics
Verified
Journal Article
Open access
TTTian Tian
Tian Tian
DWDuolao Wang
Duolao Wang
CPChristiana Papamichael
Christiana Papamichael
ZYZhang Yan
Zhang Yan
SGSang Guoyao
Sang Guoyao
JDJiang-Hong Dai
Jiang-Hong Dai
Background: Human papillomavirus (HPV) infection is common among men who have sex with men (MSM), especially among Human Immunodeficiency Virus (HIV)-infected MSM. The prevalence of HPV among MSM, accounts for the higher incidence of HPV-related cancer observed in this population. It is well known that targeted HPV vaccination is an effective way to prevent HPV infection; an intervention which could be beneficial for a high-risk group such as MSM. The current study aimed to assess the attitudes towards and acceptability of the HPV vaccine among MSM in in Urumqi, China. Methods: A total of 253 HIV-uninfected and 205 HIV-infected MSM (in Urumqi, China participated in the current cross-sectional study. Information on HPV-related knowledge, willingness to be vaccinated as well as demographic data were collected through a self-administered survey. A logistic regression model was applied to determine the predictors of HPV vaccine acceptability among the population. Results: The survey results indicated that only 218 (47.6%) of MSM questioned were aware of the term HPV, nevertheless, once awareness was established the prevalence of acceptability of free HPV vaccine was recorded at 96.7% of the total MSM sample. However, HIV-uninfected and HIV-infected MSM demonstrated significantly different attitudes in regard to their acceptability of free HPV vaccination (94.9% vs. 99.0%, p < 0.001) as well as their willingness to pay for the HPV vaccination (64.8% vs. 80.5%, p < 0.001), with the HIV-infected group being significantly more receptive towards HPV immunization. A multivariate logistic regression analysis indicated that local residency, employment status, hepatitis B vaccination status, previous awareness of HPV and HIV status were independent predictors of the participants’ willingness to pay for HPV vaccination. Conclusions: Participants in the current study demonstrated poor knowledge of HPV but the majority of MSM were willing to accept HPV vaccine after consultation; with HIV-infected MSM displaying higher acceptability towards a potential HPV vaccination than HIV-uninfected MSM. MSM who were previously aware of HPV were more likely to be willing to pay for HPV vaccine.