24 results on '"Yuqi Qiu"'
Search Results
2. On-skin biosensors for noninvasive monitoring of postoperative free flaps and replanted digits
- Author
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Hao Wu, Zhuo Li, Zhao Xu, Xin Huang, Wei Guo, Jun Zhao, Jinwen Zhang, Shaoyu Liu, Miao Tang, Yuqi Qiu, Ganguang Yang, Juntong Zhu, Lili Liu, Yingjie Wu, Wei Lei, Pan Zhou, Zhouping Yin, Zhenbing Chen, and Yutian Liu
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General Medicine - Abstract
Severe soft tissue defects and amputated digits are clinically common injuries. Primary treatments include surgical free flap transfer and digit replantation, but these can fail because of vascular compromise. Postoperative monitoring is therefore crucial for timely detection of vessel obstruction and survival of replanted digits and free flaps. However, current postoperative clinical monitoring methods are labor intensive and highly dependent on the experience of nurses and surgeons. Here, we developed on-skin biosensors for noninvasive and wireless postoperative monitoring based on pulse oximetry. The on-skin biosensor was made of polydimethylsiloxane with gradient cross-linking to create a self-adhesive and mechanically robust substrate that interfaces with skin. The substrate was shown to exhibit appropriate adhesion on one side for both high-fidelity measurements of the sensor and low risk of peeling injury to delicate tissues. The other side demonstrated mechanical integrity to facilitate flexible hybrid integration of the sensor. Validation studies using a model of vascular obstruction in rats demonstrated the effectiveness of the sensor in vivo. Clinical studies indicated that the on-skin biosensor was accurate and more responsive than current clinical monitoring methods in identifying microvascular conditions. Comparisons with existing monitoring techniques, including laser Doppler flowmetry and micro-lightguide spectrophotometry, further verified the sensor’s accuracy and ability to identify both arterial and venous insufficiency. These findings suggest that this on-skin biosensor may improve postoperative outcomes in free flap and replanted digit surgeries by providing sensitive and unbiased data directly from the surgical site that can be remotely monitored.
- Published
- 2023
3. Two Cases of Complicated Rectovaginal Fistula Treated by Hanging Line Method Were Reported and Reviewed in the Literature
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Hexia Du, Yuqi Qiu, Sufei Wang, and Yong Chen
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General Medicine - Published
- 2022
4. A novel, efficient and seamless Phase 2A‐2B design to test varoglutamstat in early AD: the VIVA‐MIND study
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Karen Messer, Diane M. Jacobs, David P. Salmon, Yuqi Qiu, Carolyn Revta, Frank Weber, Kerstin Kuhn‐Wache, Gabriel C. Leger, and Howard H. Feldman
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Psychiatry and Mental health ,Cellular and Molecular Neuroscience ,Developmental Neuroscience ,Epidemiology ,Health Policy ,Neurology (clinical) ,Geriatrics and Gerontology - Published
- 2022
5. Larger cerebral cortex is genetically correlated with greater frontal area and dorsal thickness
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Carolina Makowski, Hao Wang, Anjali Srinivasan, Anna Qi, Yuqi Qiu, Dennis van der Meer, Oleksandr Frei, Jingjing Zou, Peter M. Visscher, Jian Yang, and Chi-Hua Chen
- Subjects
Multidisciplinary - Abstract
Human cortical expansion has occurred non-uniformly across the brain. We assessed the genetic architecture of cortical global expansion and regionalization by comparing two sets of genome-wide association studies of 24 cortical regions with and without adjustment for global measures (i.e. total surface area, mean cortical thickness) using a genetically-informed parcellation in 32,488 adults. We found 393 and 756 significant loci with and without adjusting for globals, respectively, among which 8% and 45% loci were associated with more than one region. Results from analyses without adjustment for globals recounted loci associated with global measures. Genetic factors that contribute to total surface area of the cortex particularly expand anterior/frontal regions, whereas those contributing to thicker cortex predominantly increase dorsal/frontal-parietal thickness. Interactome-based analyses revealed significant overlap of global and regional genetic modules, enriched for neurodevelopmental and immune system pathways. Consideration of global measures is important in understanding the genetic variants underlying cortical morphology.
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- 2022
6. Monitoring the delicate operations of surgical robots via ultra-sensitive ionic electronic skin
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Danyang Wei, Jiajie Guo, Yuqi Qiu, Shaoyu Liu, Jiangyan Mao, Yutian Liu, Zhenbing Chen, Hao Wu, and Zhouping Yin
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Multidisciplinary - Abstract
The arrival of surgical robots in high-end medical equipment is a landmark, and the realization of tactile sensation a major challenge in this important cutting-edge research field. Aiming to address this issue, we present ultra-sensitive ionic electronic skin in the form of flexible capacitive pressure sensors, which incorporate multistage bionic microstructures in ion gels for the purpose of monitoring the delicate operations of surgical robots. Significantly, the ionic skin exhibits an ultra-high sensitivity of 9484.3 kPa−1 (
- Published
- 2022
7. A GENERALIZED CLASS OF EXPONENTIATED MODI ED WEIBULL DISTRIBUTION WITH APPLICATIONS
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Broderick O. Oluyede, Yuqi Qiu, Daniel F. Linder, and Shusen Pu
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Statistics::Theory ,Class (set theory) ,Order statistic ,Exponential function ,Rényi entropy ,symbols.namesake ,Bonferroni correction ,Distribution (mathematics) ,symbols ,Statistics::Methodology ,Applied mathematics ,Lorenz curve ,Weibull distribution ,Mathematics - Abstract
In this paper, a new class of five parameter gamma-exponentiated or generalized modified Weibull (GEMW) distribution which includes exponential, Rayleigh, Weibull, modified Weibull, exponentiated Weibull, exponentiated exponential, exponentiated modified Weibull, exponentiated modified exponential, gamma-exponentiated exponential, gammaexponentiated Rayleigh, gamma-modified Weibull, gamma-modified exponential, gamma-Weibull, gamma-Rayleigh and gamma-exponential distributions as special cases is proposed and studied. Mathematical properties of this new class of distributions including moments, mean deviations, Bonferroni and Lorenz curves, distribution of order statistics and Renyi entropy are presented. Maximum likelihood estimation technique is used to estimate the model parameters and applications to real data sets presented in order to illustrate the usefulness of this new class of distributions and its sub-models.
- Published
- 2021
8. Progress and challenges in multi-stack fuel cell system for high power applications: Architecture and energy management
- Author
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Yuqi Qiu, Tao Zeng, Caizhi Zhang, Gucheng Wang, Yaxiong Wang, Zhiguang Hu, null Meng Yan, and Zhongbao Wei
- Published
- 2023
9. Caveolin-1 Polymorphism (rs7804372) and Cancer Risk: A Meta-Analysis of 15 Case-Control Studies
- Author
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Wei Juan, Yuqi Qiu, Wang Sufei, and Yi Cunjian
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Oncology ,medicine.medical_specialty ,business.industry ,Case-control study ,Odds ratio ,medicine.disease ,Confidence interval ,Internal medicine ,Meta-analysis ,Genetic model ,Genotype ,Carcinoma ,Medicine ,Allele ,business - Abstract
Purpose: Epidemiological studies have assessed the association between Caveolin-1 polymorphism and cancer risk. However, published data are still inconclusive. To clarify this inconsistency, we conducted a meta-analysis to evaluate the relationship between Caveolin-1 polymorphism (rs7804372) and cancer susceptibility. Methods: We conducted a comprehensive literature search, using PubMed, Embase, Medline, Web of Science, CNKI, and Wanfang database, which included English and Chinese literatures. The latest updated date was January 2018. The following search terms were performed to retrieve the relevant articles: ((CAV1) OR (Caveolin-1) OR (rs7804372)) AND (cancer OR tumor OR carcinoma OR neoplasms OR malignancy) AND (polymorphism OR mutation OR variant OR genotype). Odds ratio (OR) with 95% confidence interval (CI) was used to estimate the pooled effect. Results: In the overall analysis, this kind of polymorphism showed a significant association with increased risk of cancer: allelic model (T/A; OR = 1.33, 95% CI: 1.19 - 1.49; P < 0.0001), homozygous (TT/AA; OR = 1.73, 95% CI: 1.37 - 2.18; P < 0.0001), and heterozygous genetic models (TT/TA; OR = 1.23, 95% CI: 1.14 - 1.33; P < 0.0001), the dominant genetic model (TT + TA/AA; OR = 1.58, 95% CI: 1.28 - 1.96; P < 0.0001), and the recessive genetic model (TT/TA + AA; OR = 1.34, 95% CI: 1.20 - 1.50; P < 0.0001). In addition, the stratified analysis of the results was carried out by ethnicity, HWE status, and cancer types. The outcome indicated that Caveolin-1 rs7804372 polymorphism was associated with an increased risk of cancer. Conclusion: The present study demonstrated that the allele T of Caveolin-1 (rs7804372) polymorphism might associate with increased susceptibility to cancer, and might predict worse survival in patients with various types of cancer. However, further well-designed studies are required to evaluate this association.
- Published
- 2020
10. Impact of potential modifications to Alzheimer’s disease clinical trials in response to disruption by COVID-19: a simulation study
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Lon S. Schneider, Yuqi Qiu, Ronald G. Thomas, Carol Evans, Diane M. Jacobs, Shelia Jin, Jeffrey A. Kaye, Andrea Z. LaCroix, Karen Messer, David P. Salmon, Mary Sano, Kimberly Schafer, and Howard H. Feldman
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Simulations ,Aging ,Cognitive Neuroscience ,Clinical Trials and Supportive Activities ,Neurosciences. Biological psychiatry. Neuropsychiatry ,Neurodegenerative ,Alzheimer's Disease ,Medical and Health Sciences ,Clinical trials ,Alzheimer Disease ,Clinical Research ,Acquired Cognitive Impairment ,Humans ,Disease modification ,Computer Simulation ,Symptomatic treatment ,RC346-429 ,Pandemics ,SARS-CoV-2 ,Research ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,COVID-19 ,Mild cognitive impairment ,Brain Disorders ,Neurology ,Alzheimer ,Dementia ,Neurology. Diseases of the nervous system ,Neurology (clinical) ,RC321-571 - Abstract
Background The COVID-19 pandemic disrupted Alzheimer disease randomized clinical trials (RCTs), forcing investigators to make changes in the conduct of such trials while endeavoring to maintain their validity. Changing ongoing RCTs carries risks for biases and threats to validity. To understand the impact of exigent modifications due to COVID-19, we examined several scenarios in symptomatic and disease modification trials that could be made. Methods We identified both symptomatic and disease modification Alzheimer disease RCTs as exemplars of those that would be affected by the pandemic and considered the types of changes that sponsors could make to each. We modeled three scenarios for each of the types of trials using existing datasets, adjusting enrollment, follow-ups, and dropouts to examine the potential effects COVID-19-related changes. Simulations were performed that accounted for completion and dropout patterns using linear mixed effects models, modeling time as continuous and categorical. The statistical power of the scenarios was determined. Results Truncating both symptomatic and disease modification trials led to underpowered trials. By contrast, adapting the trials by extending the treatment period, temporarily stopping treatment, delaying outcomes assessments, and performing remote assessment allowed for increased statistical power nearly to the level originally planned. Discussion These analyses support the idea that disrupted trials under common scenarios are better continued and extended even in the face of dropouts, treatment disruptions, missing outcomes, and other exigencies and that adaptations can be made that maintain the trials’ validity. We suggest some adaptive methods to do this noting that some changes become under-powered to detect the original effect sizes and expected outcomes. These analyses provide insight to better plan trials that are resilient to unexpected changes to the medical, social, and political milieu.
- Published
- 2021
11. Impact of Potential Modifications to Alzheimer’s Disease Clinical Trials in Response to Disruption by COVID-19
- Author
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Howard Feldman, Karen Messer, Kimberly Schafer, David P. Salmon, Carol Evans, Yuqi Qiu, Jeffrey Kaye, Ronald G. Thomas, Andrea Z. LaCroix, Diane M. Jacobs, Shelia Jin, Lon S. Schneider, and Mary Sano
- Subjects
Clinical trial ,Oncology ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Internal medicine ,Medicine ,Disease ,business - Abstract
BackgroundThe COVID-19 pandemic disrupted Alzheimer disease randomized clinical trials (RCTs)forcing investigators to make changes in the conduct of such trials while endeavoring to maintain their validity. Changing ongoing RCTs carries risks for biases and threats to validity. To understand the impact of exigent modifications due to COVID-19 we examined several scenarios in symptomatic and disease modification trials that could be made.MethodsWe identified both symptomatic and disease modification Alzheimer disease RCTs as exemplars of those that would be affected by the pandemic and considered the types of changes that sponsors could make to each. We modeled three scenarios for each of the types of trialsusing existing datasets, adjusting enrollment, follow-ups, and dropouts to examine the potential effects COVID-19-related changes.Simulations were performed that accounted for completion and dropout patterns using linear mixed effects models, modeling time as continuous and categorical. The statistical power of the scenarios was determined.ResultsTruncating both symptomatic and disease modification trials, led to underpowered trials.By contrast, adapting the trials byextending the treatment period, temporarily stopping treatment, delaying outcomes assessments, and performing remote assessment allowed for increased statistical power nearly to the level originally planned.DiscussionThese analyses support the idea that disrupted trials under common scenarios are better continued and extended even in the face of dropouts, treatment disruptions, missing outcomes, and other exigencies, and that adaptations can be made that maintain the trials validity. We suggest some adaptive methods to do this noting that some changes become under-powered to detect theoriginal effect sizes and expected outcomes. These analyses provide insight to better plan trials that are resilient to unexpected changes to the medical, social, and political milieu.
- Published
- 2021
12. Fully nano/micro-fibrous triboelectric on-skin patch with high breathability and hydrophobicity for physiological status monitoring
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Yuqi Qiu, Han Fang, Jiajie Guo, and Hao Wu
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Renewable Energy, Sustainability and the Environment ,General Materials Science ,Electrical and Electronic Engineering - Published
- 2022
13. Flexible Mechanical Metamaterials Enabled Electronic Skin for Real‐Time Detection of Unstable Grasping in Robotic Manipulation (Adv. Funct. Mater. 23/2022)
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Xin Huang, Wei Guo, Shaoyu Liu, Yangyang Li, Yuqi Qiu, Han Fang, Ganguang Yang, Kanhao Zhu, Zhouping Yin, Zhuo Li, and Hao Wu
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Biomaterials ,Electrochemistry ,Condensed Matter Physics ,Electronic, Optical and Magnetic Materials - Published
- 2022
14. Adhesive and Hydrophobic Bilayer Hydrogel Enabled On‐Skin Biosensors for High‐Fidelity Classification of Human Emotion
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Ganguang Yang, Kanhao Zhu, Wei Guo, Dongrui Wu, Xueliang Quan, Xin Huang, Shaoyu Liu, Yangyang Li, Han Fang, Yuqi Qiu, Qingyang Zheng, Mengliang Zhu, Jian Huang, Zhigang Zeng, Zhouping Yin, and Hao Wu
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Biomaterials ,Electrochemistry ,Condensed Matter Physics ,Electronic, Optical and Magnetic Materials - Published
- 2022
15. Flexible Mechanical Metamaterials Enabled Electronic Skin for Real‐Time Detection of Unstable Grasping in Robotic Manipulation
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Xin Huang, Wei Guo, Shaoyu Liu, Yangyang Li, Yuqi Qiu, Han Fang, Ganguang Yang, Kanhao Zhu, Zhouping Yin, Zhuo Li, and Hao Wu
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Biomaterials ,Electrochemistry ,Condensed Matter Physics ,Electronic, Optical and Magnetic Materials - Published
- 2022
16. Efficient Pre-diagnosis Approach for Rarkinson’s Disease with Machine Learning
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Yuqi Qiu
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Artificial neural network ,business.industry ,Computer science ,Deep learning ,06 humanities and the arts ,02 engineering and technology ,0603 philosophy, ethics and religion ,Machine learning ,computer.software_genre ,Automation ,Convolutional neural network ,Support vector machine ,0202 electrical engineering, electronic engineering, information engineering ,020201 artificial intelligence & image processing ,060301 applied ethics ,Artificial intelligence ,Cluster analysis ,business ,computer - Abstract
This research proposes deep learning methods to approach the diagnosis of Parkinson’s Disease (PD) with more accurate results than those of existing methods. This automation approach also reduce the diagnosis expenses and make it possible to be applied in developing countries. In order to find a more accurate and cheaper solution to the problem, I have employed and contrasted three different experimental algorithms—Kmeans clustering, Support Vector Machine (SVM), and Convolutional Neural Network (CNN). The best performance, with accuracy of 100%, can be achieved by the SVM model and convolutional neural network model.
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- 2020
17. Enriching the design of Alzheimer's disease clinical trials: Application of the polygenic hazard score and composite outcome measures
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Yuqi Qiu, Chun Chieh Fan, Alzheimer’s Disease Neuroimaging Initiative, Anders M. Dale, Sarah J. Banks, Howard Feldman, Jingjing Zou, and Brianna Askew
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cognition ,0301 basic medicine ,Gerontology ,Aging ,Percentile ,Clinical Trials and Supportive Activities ,Neurodegenerative ,Alzheimer's Disease ,outcomes ,03 medical and health sciences ,mild cognitive impairment ,0302 clinical medicine ,Clinical Research ,mental disorders ,Acquired Cognitive Impairment ,medicine ,Dementia ,polygenic hazard score ,RC346-429 ,Research Articles ,business.industry ,Clinical study design ,Alzheimer's Disease Neuroimaging Initiative ,Neurosciences ,RC952-954.6 ,Absolute risk reduction ,Alzheimer's Disease including Alzheimer's Disease Related Dementias (AD/ADRD) ,Cognition ,medicine.disease ,clinical trial design ,Brain Disorders ,Clinical trial ,Psychiatry and Mental health ,030104 developmental biology ,Geriatrics ,Sample size determination ,Neurological ,Cohort ,Neurology. Diseases of the nervous system ,Neurology (clinical) ,business ,030217 neurology & neurosurgery ,Research Article - Abstract
Author(s): Banks, Sarah J; Qiu, Yuqi; Fan, Chun Chieh; Dale, Anders M; Zou, Jingjing; Askew, Brianna; Feldman, Howard H; Alzheimer's Disease Neuroimaging Initiative | Abstract: IntroductionSelecting individuals at high risk of Alzheimer's disease (AD) dementia and using the most sensitive outcome measures are important aspects of trial design.MethodsWe divided participants from Alzheimer's Disease Neuroimaging Initiative at the 50th percentile of the predicted absolute risk of the polygenic hazard score (PHS). Outcome measures were the Alzheimer's Disease Assessment Schedule-Cognitive Subscale (ADAS-Cog), ADNI-Mem, Clinical Dementia Rating-Sum of Boxes (CDR SB), and Cognitive Function Composite 2 (CFC2). In addition to modeling, we use a power analysis compare numbers needed with each technique.ResultsData from 188 cognitively normal and 319 mild cognitively impaired (MCI) participants were analyzed. Using the ADAS-Cog to estimate sample sizes, without stratification over 24 months, would require 930 participants with MCI, while using the CFC2 and restricting participants to those in the upper 50th percentile would require only 284 participants.DiscussionCombining stratification by PHS and selection of a sensitive combined outcome measure in a cohort of patients with MCI can allow trial design that is more efficient, potentially less burdensome on participants, and more cost effective.
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- 2020
18. Integrated Analysis of Exosomal Protein Biomarkers on Alternating Current Electrokinetic Chips Enables Rapid Detection of Pancreatic Cancer in Patient Blood
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Yuqi Qiu, Karen Messer, Jean M. Lewis, Rebekah R. White, Michael J. Heller, and Ankit D. Vyas
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0301 basic medicine ,Microarray ,Fluorescent Antibody Technique ,General Physics and Astronomy ,Exosomes ,Immunofluorescence ,Exosome ,03 medical and health sciences ,0302 clinical medicine ,Pancreatic cancer ,Biomarkers, Tumor ,medicine ,Humans ,General Materials Science ,Liquid biopsy ,Whole blood ,medicine.diagnostic_test ,biology ,Chemistry ,General Engineering ,medicine.disease ,Microvesicles ,Pancreatic Neoplasms ,Kinetics ,030104 developmental biology ,030220 oncology & carcinogenesis ,Cancer research ,biology.protein ,Antibody - Abstract
Pancreatic ductal adenocarcinoma (PDAC) typically has nonspecific symptoms and is often found too late to treat. Because diagnosis of PDAC involves complex, invasive, and expensive procedures, screening populations at increased risk will depend on developing rapid, sensitive, specific, and cost-effective tests. Exosomes, which are nanoscale vesicles shed into blood from tumors, have come into focus as valuable entities for noninvasive liquid biopsy diagnostics. However, rapid capture and analysis of exosomes with their protein and other biomarkers have proven difficult. Here, we present a simple method integrating capture and analysis of exosomes and other extracellular vesicles directly from whole blood, plasma, or serum onto an AC electrokinetic microarray chip. In this process, no pretreatment or dilution of sample is required, nor is it necessary to use capture antibodies or other affinity techniques. Subsequent on-chip immunofluorescence analysis permits specific identification and quantification of target biomarkers within as little as 30 min total time. In this initial validation study, the biomarkers glypican-1 and CD63 were found to reflect the presence of PDAC and thus were used to develop a bivariate model for detecting PDAC. Twenty PDAC patient samples could be distinguished from 11 healthy subjects with 99% sensitivity and 82% specificity. In a smaller group of colon cancer patient samples, elevated glypican-1 was observed for metastatic but not for nonmetastatic disease. The speed and simplicity of ACE exosome capture and on-chip biomarker detection, combined with the ability to use whole blood, will enable seamless "sample-to-answer" liquid biopsy screening and improve early stage cancer diagnostics.
- Published
- 2018
19. Oral Vitamin D Rapidly Attenuates Inflammation from Sunburn: An Interventional Study
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Lopa M. Das, Kurt Q. Lu, Sara M. Debanne, Yuqi Qiu, Zachary Traylor, Jeffrey F. Scott, Amy M. Binko, Rebecca S. Boxer, Kevin D. Cooper, and Sayeeda Ahsanuddin
- Subjects
Adult ,Male ,0301 basic medicine ,Vitamin ,Time Factors ,Administration, Oral ,Sunburn ,Inflammation ,Dermatology ,Pharmacology ,Biochemistry ,Article ,Proinflammatory cytokine ,Young Adult ,03 medical and health sciences ,chemistry.chemical_compound ,Mediator ,Double-Blind Method ,Vitamin D and neurology ,medicine ,Humans ,Molecular Biology ,Cholecalciferol ,Skin ,Dose-Response Relationship, Drug ,medicine.diagnostic_test ,business.industry ,Vitamins ,Cell Biology ,Middle Aged ,medicine.disease ,Treatment Outcome ,030104 developmental biology ,chemistry ,Skin biopsy ,Immunology ,Female ,medicine.symptom ,business ,Follow-Up Studies - Abstract
The diverse immunomodulatory effects of vitamin D are increasingly being recognized. However, the ability of oral vitamin D to modulate acute inflammation in vivo has not been established in humans. In a double-blinded, placebo-controlled interventional trial, 20 healthy adults were randomized to receive either placebo or a high dose of vitamin D3 (cholecalciferol) one hour after experimental sunburn induced by an erythemogenic dose of UVR. Compared with placebo, participants receiving vitamin D3 (200,000 international units) demonstrated reduced expression of proinflammatory mediators tumor necrosis factor-α (P = 0.04) and inducible nitric oxide synthase (P = 0.02) in skin biopsy specimens 48 hours after experimental sunburn. A blinded, unsupervised hierarchical clustering of participants based on global gene expression profiles revealed that participants with significantly higher serum vitamin D3 levels after treatment (P = 0.007) demonstrated increased skin expression of the anti-inflammatory mediator arginase-1 (P = 0.005), and a sustained reduction in skin redness (P = 0.02), correlating with significant expression of genes related to skin barrier repair. In contrast, participants with lower serum vitamin D3 levels had significant expression of proinflammatory genes. Together the data may have broad implications for the immunotherapeutic properties of vitamin D in skin homeostasis, and implicate arginase-1 upregulation as a previously unreported mechanism by which vitamin D exerts anti-inflammatory effects in humans.
- Published
- 2017
20. Imputation and post-selection inference in models with missing data: An application to colorectal cancer surveillance guidelines
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Yuqi Qiu, Karen Messer, Lin Liu, and Loki Natarajan
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0301 basic medicine ,Statistics and Probability ,Percentile ,model selection ,multiple imputation ,Computer science ,Statistics & Probability ,Inference ,Feature selection ,01 natural sciences ,010104 statistics & probability ,03 medical and health sciences ,missing data ,Post-selection inference ,Statistics ,Imputation (statistics) ,Econometrics ,0101 mathematics ,Cancer ,Model selection ,Prevention ,Estimator ,model averaging ,Missing data ,Confidence interval ,Colo-Rectal Cancer ,030104 developmental biology ,Modeling and Simulation ,Statistics, Probability and Uncertainty ,Digestive Diseases - Abstract
It is common to encounter missing data among the potential predictor variables in the setting of model selection. For example, in a recent study we attempted to improve the US guidelines for risk stratification after screening colonoscopy (Cancer Causes Control 27 (2016) 1175–1185), with the aim to help reduce both overuse and underuse of follow-on surveillance colonoscopy. The goal was to incorporate selected additional informative variables into a neoplasia risk-prediction model, going beyond the three currently established risk factors, using a large dataset pooled from seven different prospective studies in North America. Unfortunately, not all candidate variables were collected in all studies, so that one or more important potential predictors were missing on over half of the subjects. Thus, while variable selection was a main focus of the study, it was necessary to address the substantial amount of missing data. Multiple imputation can effectively address missing data, and there are also good approaches to incorporate the variable selection process into model-based confidence intervals. However, there is not consensus on appropriate methods of inference which address both issues simultaneously. Our goal here is to study the properties of model-based confidence intervals in the setting of imputation for missing data followed by variable selection. We use both simulation and theory to compare three approaches to such post-imputation-selection inference: a multiple-imputation approach based on Rubin’s Rules for variance estimation (Comput. Statist. Data Anal. 71 (2014) 758–770); a single imputation-selection followed by bootstrap percentile confidence intervals; and a new bootstrap model-averaging approach presented here, following Efron (J. Amer. Statist. Assoc. 109 (2014) 991–1007). We investigate relative strengths and weaknesses of each method. The “Rubin’s Rules” multiple imputation estimator can have severe undercoverage, and is not recommended. The imputation-selection estimator with bootstrap percentile confidence intervals works well. The bootstrap-model-averaged estimator, with the “Efron’s Rules” estimated variance, may be preferred if the true effect sizes are moderate. We apply these results to the colorectal neoplasia risk-prediction problem which motivated the present work.
- Published
- 2019
21. O1‐09‐04: APPLYING POLYGENIC HAZARD SCORES TO ENRICH CLINICAL TRIAL STUDY POPULATIONS OF THOSE AT RISK OF ALZHEIMER'S DISEASE DEMENTIA (ADD)
- Author
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Howard Feldman, Yuqi Qiu, Karen Messer, Brianna Askew, Sarah J. Banks, Anders M. Dale, and Jody-Lynn Berg
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Gerontology ,Epidemiology ,business.industry ,Health Policy ,Clinical Sciences ,Neurosciences ,Disease ,medicine.disease ,Hazard ,Clinical trial ,Psychiatry and Mental health ,Cellular and Molecular Neuroscience ,Good Health and Well Being ,Developmental Neuroscience ,Geriatrics ,Medicine ,Dementia ,Neurology (clinical) ,Geriatrics and Gerontology ,business - Abstract
Author(s): Banks, Sarah Jane; Dale, Anders M; Askew, Brianna; Berg, Jody-Lynn; Qiu, Yuqi; Messer, Karen; Feldman, Howard H
- Published
- 2019
22. Oligogenic Effects of 16p11.2 Copy Number Variation on Craniofacial Development
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Timothy Pang, Christina Corsello, Erica E. Davis, Karen Messer, Oanh Hong, Omar Shanta, Jonathan Sebat, Yuqi Qiu, Yann Herault, Shih C. Tang, Thomas Arbogast, Sandra Martin Lorenzo, Ellen Richardson, Shawn Cho, Honying Li, Nicholas Katsanis, Lilia M. Iakoucheva, and Claire Chevalier
- Subjects
Head size ,Genetics ,ved/biology ,Gene duplication ,ved/biology.organism_classification_rank.species ,Copy-number variation ,Craniofacial ,Biology ,biology.organism_classification ,Model organism ,Gene ,Gene dosage ,Zebrafish - Abstract
A copy number variant (CNV) of 16p11.2, which encompasses 30 genes, is associated with developmental and psychiatric disorders, head size and body mass. The genetic mechanisms that underlie these associations are not understood. To elucidate the effects of genes on development, we exploited the quantitative effects of CNV on craniofacial structure in humans and model organisms. We show that reciprocal deletion and duplication of 16p11.2 have characteristic “mirror” effects on craniofacial features that are conserved in human, rat and mouse. By testing gene dosage effects on the shape of the mandible in zebrafish, we show that the distribution of effects for all individual genes is consistent with that of the CNV, and some combinations have non-additive effects. Our results suggest that, at minimum, one third of genes within the 16p11.2 region influence craniofacial development, and the facial gestalt of each CNV represents a product of 30 dosage effects.
- Published
- 2019
23. A Comparison Study of Curriculum between TESOL in the United Kingdom and TCSOL in China
- Author
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Fonny Hutagalung, Callum McNeill-Keay, Yong Wu, and Yuqi Qiu
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Linguistics and Language ,Language and Linguistics ,Education ,Subject matter ,Kingdom ,Political science ,Pedagogy ,medicine ,Comparison study ,Resizing ,medicine.symptom ,China ,Curriculum ,Confusion - Abstract
This research analyses 10 universities from the United Kingdom and China respectively to make a comparison between TESOL and TCSOL curriculum. Based on the analysis, the compulsory courses, and optional courses, some similarities and differences have been analyzed. By referring to the curriculum of TESOL, some suggestions have been put forward. This research aims to inject broader approaches to the study of Master of Teaching Chinese to Speakers of Other Language (TCSOL), which would result in an enhanced understanding and enlargement of the subject matter, provide new thinking direction, promote the development of TCSOL, and reduce the possible confusion on the future development.
- Published
- 2020
24. Additional file 1: of Naringenin prevents TGF-β1 secretion from breast cancer and suppresses pulmonary metastasis by inhibiting PKC activation
- Author
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Fayun Zhang, Wenjuan Dong, Wenfeng Zeng, Zhang, Lei, Zhang, Chao, Yuqi Qiu, Luoyang Wang, Xiaozhe Yin, Chunling Zhang, and Liang, Wei
- Abstract
Presents the supplementary methods. (DOC 54 kb)
- Published
- 2016
- Full Text
- View/download PDF
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