Institution
Henan University of Traditional Chinese Medicine
Education•Zhengzhou, China•
About: Henan University of Traditional Chinese Medicine is a education organization based out in Zhengzhou, China. It is known for research contribution in the topics: Randomized controlled trial & Crystal structure. The organization has 1780 authors who have published 1052 publications receiving 10153 citations.
Topics: Randomized controlled trial, Crystal structure, Traditional Chinese medicine, Apoptosis, Population
Papers published on a yearly basis
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TL;DR: The goal of this study was to estimate the changes in the prevalence of dementia, Alzheimer's disease (AD), and vascular dementia (VaD) among elderly Chinese individuals and to analyze differences between urban and rural areas.
Abstract: Objective The Chinese population has been aging rapidly and the country's economy has experienced exponential growth during the past three decades. The goal of this study was to estimate the changes in the prevalence of dementia, Alzheimer's disease (AD), and vascular dementia (VaD) among elderly Chinese individuals and to analyze differences between urban and rural areas. Methods For the years 2008 to 2009, we performed a population-based cross-sectional survey with a multistage cluster sampling design. Residents aged 65 years and older were drawn from 30 urban (n = 6096) and 45 rural (n = 4180) communities across China. Participants were assessed with a series of clinical examinations and neuropsychological measures. Dementia, AD, and VaD were diagnosed according to established criteria via standard diagnostic procedures. Results The prevalence of dementia, AD, and VaD among individuals aged 65 years and older were 5.14% (95% CI, 4.71–5.57), 3.21% (95% CI, 2.87–3.55), and 1.50% (95% CI, 1.26–1.74), respectively. The prevalence of dementia was significantly higher in rural areas than in urban ones (6.05% vs. 4.40%, P P P = .166). The difference in AD was not evident when the sample was stratified by educational level. Moreover, the risk factors for AD and VaD differed for urban and rural populations. Conclusions A notably higher prevalence of dementia and AD was found in rural areas than in urban ones, and education might be an important reason for the urban–rural differences.
316 citations
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TL;DR: This study characterized LTRs from endemic HIV-1 subtypes in China and suggests a potential target for the suppression of viral gene expression and a novel strategy that facilitates the accomplishment of a functional cure.
Abstract: The 5′ end of HIV-1 long terminal repeat (LTR) serves as a promoter that plays an essential role in driving viral gene transcription. Manipulation of HIV-1 LTR provides a potential therapeutic strategy for suppressing viral gene expression or excising integrated provirus. Subtype-specific genetic diversity in the LTR region has been observed. The minor variance of LTR, particularly in the transcription factor binding sites, can have a profound impact on its activity. However, the LTR profiles from major endemic Chinese subtypes are not well characterized. Here, by characterizing the sequences and functions of LTRs from endemic Chinese HIV-1 subtypes, we showed that nucleotide variances of Sp1 core promoter and NF-κB element are associated with varied LTR capacity for driving viral gene transcription. The greater responsiveness of Chinese HIV-1 B′-LTR for driving viral gene transcription upon stimulation is associated with an increased level of viral reactivation. Moreover, we demonstrated that the introduction of CRISPR/dead Cas9 targeting Sp1 or NF-κB element suppressed viral gene expression. Taken together, our study characterized LTRs from endemic HIV-1 subtypes in China and suggests a potential target for the suppression of viral gene expression and a novel strategy that facilitates the accomplishment of a functional cure.
183 citations
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TL;DR: The nanostructured composite with a core made of a composite of hydroxyapatite and tussah silk fibroin has excellent biomimetic and mechanical properties and is a potential biocompatible scaffold for bone tissue engineering.
131 citations
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TL;DR: Epidemiologic studies on mild cognitive impairment (MCI) are limited in China and the need for further studies to establish a causative factor for MCI is still unclear.
Abstract: Background Epidemiologic studies on mild cognitive impairment (MCI) are limited in China. Methods Using a multistage cluster sampling design, a total of 10,276 community residents (6096 urban, 4180 rural) aged 65 years or older were evaluated and diagnosed with normal cognition, MCI, or dementia. MCI was further categorized by imaging into MCI caused by prodromal Alzheimer's disease (MCI-A), MCI resulting from cerebrovascular disease (MCI-CVD), MCI with vascular risk factors (MCI-VRF), and MCI caused by other diseases (MCI-O). Results The prevalences of overall MCI, MCI-A, MCI-CVD, MCI-VRF, and MCI-O were 20.8% (95% confidence interval [CI] = 20.0–21.6%), 6.1% (95% CI = 5.7–6.6%), 3.8% (95% CI = 3.4–4.2%), 4.9% (95% CI = 4.5–5.4%), and 5.9% (95% CI = 5.5–6.4%) respectively. The rural population had a higher prevalence of overall MCI (23.4% vs 16.8%, P Conclusions The prevalence of MCI in elderly Chinese is higher in rural than in urban areas. Vascular-related MCI (MCI-CVD and MCI-VRF) was most common.
125 citations
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TL;DR: A fluorescent probe 1 for Hg(2+) based on a rhodamine-coumarin conjugate was designed and synthesized and displays high sensitivity and selectivity for sensing Hg (2+), and about a 24-fold increase in fluorescence emission intensity is observed upon binding excess Hg-2+) in 50% water/ethanol buffered at pH 7.24.
124 citations
Authors
Showing all 1783 results
Name | H-index | Papers | Citations |
---|---|---|---|
Han-Dong Sun | 46 | 596 | 10509 |
Xiu-Min Li | 45 | 205 | 8340 |
Sheng-Hong Li | 28 | 134 | 2389 |
Ye Mei | 27 | 96 | 2085 |
Yong-Xian Cheng | 26 | 232 | 2595 |
Zhigang Liu | 24 | 183 | 2209 |
Yi-Ming Shi | 20 | 63 | 1135 |
Jiaxu Chen | 18 | 70 | 756 |
Juan Zhang | 18 | 29 | 1335 |
Rong-Hua Luo | 16 | 48 | 640 |
Zhichao Xiong | 16 | 19 | 1007 |
Kai Hu | 15 | 23 | 459 |
Wei-Lie Xiao | 15 | 55 | 829 |
Mario Canki | 14 | 18 | 675 |
Xiaochen Bo | 14 | 38 | 1430 |