Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Lixian Zhong is active.

Publication


Featured researches published by Lixian Zhong.


Current Biology | 2010

Pickpocket Is a DEG/ENaC Protein Required for Mechanical Nociception in Drosophila Larvae

Lixian Zhong; Richard Y. Hwang; W. Daniel Tracey

Highly branched class IV multidendritic sensory neurons of the Drosophila larva function as polymodal nociceptors that are necessary for behavioral responses to noxious heat (>39 degrees C) or noxious mechanical (>30 mN) stimuli. However, the molecular mechanisms that allow these cells to detect both heat and force are unknown. Here, we report that the pickpocket (ppk) gene, which encodes a Degenerin/Epithelial Sodium Channel (DEG/ENaC) subunit, is required for mechanical nociception but not thermal nociception in these sensory cells. Larvae mutant for pickpocket show greatly reduced nociception behaviors in response to harsh mechanical stimuli. However, pickpocket mutants display normal behavioral responses to gentle touch. Tissue-specific knockdown of pickpocket in nociceptors phenocopies the mechanical nociception impairment without causing defects in thermal nociception behavior. Finally, optogenetically triggered nociception behavior is unaffected by pickpocket RNAi, which indicates that ppk is not generally required for the excitability of the nociceptors. Interestingly, DEG/ENaCs are known to play a critical role in detecting gentle touch stimuli in Caenorhabditis elegans and have also been implicated in some aspects of harsh touch sensation in mammals. Our results suggest that neurons that detect harsh touch in Drosophila utilize similar mechanosensory molecules.


PLOS ONE | 2012

Egg Laying Decisions in Drosophila Are Consistent with Foraging Costs of Larval Progeny

Nicholas U. Schwartz; Lixian Zhong; Andrew Bellemer; W. Daniel Tracey

Decision-making is defined as selection amongst options based on their utility, in a flexible and context-dependent manner. Oviposition site selection by the female fly, Drosophila melanogaster, has been suggested to be a simple and genetically tractable model for understanding the biological mechanisms that implement decisions [1]. Paradoxically, female Drosophila have been found to avoid oviposition on sugar which contrasts with known Drosophila feeding preferences [1]. Here we demonstrate that female Drosophila prefer egg laying on sugar, but this preference is sensitive to the size of the egg laying substrate. With larger experimental substrates, females preferred to lay eggs directly on sugar containing media over other (plain, bitter or salty) media. This was in contrast to smaller substrates with closely spaced choices where females preferred non-sweetened media. We show that in small egg laying chambers newly hatched first instar larvae are able to migrate along a diffusion gradient to the sugar side. In contrast, in contexts where females preferred egg laying directly on sugar, larvae were unable to migrate to find the sucrose if released on the sugar free side of the chamber. Thus, where larval foraging costs are high, female Drosophila choose to lay their eggs directly upon the nutritious sugar substrate. Our results offer a powerful model for female decision-making.


Journal of the Neurological Sciences | 2014

Patient centered decision making: Use of conjoint analysis to determine risk–benefit trade-offs for preference sensitive treatment choices

Leslie Wilson; Aimee Loucks; Christine Bui; Greg Gipson; Lixian Zhong; Amy Schwartzburg; Elizabeth Crabtree; Douglas S. Goodin; Emmanuelle Waubant; Charles E. McCulloch

UNLABELLED Understanding patient preferences facilitates shared decision-making and focuses on patient-centered outcomes. Little is known about relapsing-remitting multiple sclerosis (RRMS) patient preferences for disease modifying therapies (DMTs). We use choice based conjoint (CBC) analysis to calculate patient preferences for risk/benefit trade-offs for hypothetical DMTs. METHODS Patients with RRMS were surveyed between 2012 and 2013. Our CBC survey mimicked the decision-making process and trade-offs of patients choosing DMTs, based on all possible DMT attributes. Mixed-effects logistic regression analyzed preferences. We estimated maximum acceptable risk trade-offs for various DMT benefits. RESULTS Severe side-effect risks had the biggest impact on patient preference with a 1% risk, decreasing patient preference five-fold compared to no risk. (OR=0.22, p<0.001). Symptom improvement was the most preferred benefit (OR=3.68, p<0.001), followed by prevention of progression of 10 years (OR=2.4, p<0.001). Daily oral administration had the third highest DMT preference rating (OR=2.08, p<0.001). Patients were willing to accept 0.08% severe risk for a year delayed relapse, and 0.22% for 4 vs 2 year prevented progression. CONCLUSION We provided patient preferences and risk-benefit trade-offs for attributes of all available DMTs. Evaluation of patient preferences is a key step in shared decision making and may significantly impact early drug initiation and compliance.


International journal of MS care | 2015

Patient preferences for attributes of multiple sclerosis disease-modifying therapies: development and results of a ratings-based conjoint analysis.

Leslie Wilson; Aimee Loucks; Gregory Gipson; Lixian Zhong; Christine Bui; Elizabeth Miller; Mary Owen; Daniel Pelletier; Douglas S. Goodin; Emmanuelle Waubant; Charles E. McCulloch

BACKGROUND Timely individualized treatment is essential to improving relapsing-remitting multiple sclerosis (RRMS) patient health outcomes, yet little is known about how patients make treatment decisions. We sought to evaluate RRMS patient preferences for risks and benefits of treatment. METHODS Fifty patients with RRMS completed conjoint analysis surveys with 16 hypothetical disease-modifying therapy (DMT) medication profiles developed using a fractional factorial design. Medication profiles were assigned preference ratings from 0 (not acceptable) to 10 (most favorable). Medication attributes included a range of benefits, adverse effects, administration routes, and market durations. Analytical models used linear mixed-effects regression. RESULTS Participants showed the highest preference for medication profiles that would improve their symptoms (β = 0.81-1.03, P < .001), not a proven DMT outcome. Preventing relapses, the main clinical trial outcome, was not associated with significant preferences (P = .35). Each year of preventing magnetic resonance imaging changes and disease symptom progression showed DMT preferences of 0.17 point (β = 0.17, P = .002) and 0.12 point (β = 0.12, P < .001), respectively. Daily oral administration was preferred over all parenteral routes (P < .001). A 1% increase in death or severe disability decreased relative DMT preference by 1.15 points (P < .001). CONCLUSIONS Patient preference focused on symptoms and prevention of progression but not on relapse prevention, the proven drug outcome. Patients were willing to accept some level of serious risk for certain types and amounts of benefits, and they strongly preferred daily oral administration over all other options.


PLOS ONE | 2013

Therapeutic Options in Docetaxel-Refractory Metastatic Castration-Resistant Prostate Cancer: A Cost-Effectiveness Analysis

Lixian Zhong; Vickie Pon; Sandy Srinivas; Nicole Nguyen; Meghan Frear; Sherry Kwon; Cynthia Gong; Robert Malmstrom; Leslie Wilson

Background Docetaxel is an established first-line therapy to treat metastatic castration-resistant prostate cancer (mCRPC). Recently, abiraterone and cabazitaxel were approved for use after docetaxel failure, with improved survival. National Institute for Health and Clinical Excellence (NICE) preliminary recommendations were negative for both abiraterone (now positive in final recommendation) and cabazitaxel (negative in final recommendation). Objective To evaluate the cost-effectiveness of abiraterone, cabazitaxel, mitoxantrone and prednisone for mCRPC treatment in US. Methods A decision-tree model was constructed to compare the two mCRPC treatments versus two placebos over 18 months from a societal perspective. Chance nodes include baseline pain as a severity indicator, grade III/IV side-effects, and survival at 18 months. Probabilities, survival and health utilities were from published studies. Model cost inputs included drug treatment, side-effect management and prevention, radiation for pain, and death associated costs in 2010 US dollars. Results Abiraterone is a cost-effective choice at


Journal of Oncology Pharmacy Practice | 2014

New therapeutic options in metastatic castration-resistant prostate cancer: Can cost-effectiveness analysis help in treatment decisions?

Leslie Wilson; Jun Tang; Lixian Zhong; Gregory Balani; Gregory Gipson; Pin Xiang; Dawn Yu; Sandy Srinivas

94K/QALY (quality adjusted life years) compared to placebo in our base-case analysis. Cabazitaxel and abiraterone are the most effective, yet also most expensive agents. The incremental cost-effectiveness ratios (ICER) at base-case are


Current Biology | 2007

Nociceptive Neurons Protect Drosophila Larvae from Parasitoid Wasps

Richard Y. Hwang; Lixian Zhong; Yifan Xu; Trevor Johnson; Feng Zhang; Karl Deisseroth; W. Daniel Tracey

101K/QALY (extended dominated) for mitoxantrone vs. placebo,


Cell Reports | 2012

Thermosensory and Nonthermosensory Isoforms of Drosophila melanogaster TRPA1 Reveal Heat-Sensor Domains of a ThermoTRP Channel

Lixian Zhong; Andrew Bellemer; Haidun Yan; Ken Honjo; Jessica Robertson; Richard Y. Hwang; Geoffrey S. Pitt; W. Daniel Tracey

91K/QALY for abiraterone vs. mitoxantrone,


Archive | 2008

Methods and compositions for the identification of insect repellent compounds

William D. Tracey; Nancy A. Stearns; Lixian Zhong; Yifan Xu; Jason C. Caldwell; Allison Weaver; Angela Hofhine

956K/QALY for cabazitaxel vs. abiraterone. Abiraterone becomes less cost-effective as its AWP increases, or if the cost of mitoxantrone side-effect management decreases. Increases in the percentage of patients with baseline pain leads to an increased ICER for both mitoxantrone and abiraterone, but mitoxantrone does relatively better. Cabazitaxel remains not cost-effective. Conclusion Our base case model suggests that abiraterone is a cost-effective option in docetaxel-refractory mCRPC patients. Newer treatments will also need a CEA assessment compared to abiraterone.


Value in Health | 2013

Patient preferences for attributes of disease modifying Therapies: Results of a choice based conjoint analysis

Leslie Wilson; Aimee Loucks; Christine Bui; Gregory Gipson; Lixian Zhong; J. Tang; D. Goodin; M. Owen; E. Waubaunt; B. Cree; A. Schwartzburg; E. Miller; A. Macedo; D. Scott; C.E. McCulloch

Objective: To evaluate the cost-effectiveness of abiraterone, cabazitaxel, and enzalutamide compared to placebo for treatment of metastatic castration-resistant prostate cancer. Material and methods: A decision-tree model compared three treatment options for metastatic castration-resistant prostate cancer patients over 18 months from a societal perspective in 2012 USD. Chance nodes included baseline pain as a severity indicator, significant adverse effects (neutropenia, cardiac events, or seizures), and survival. Probabilities, survival rates, and health utilities were from clinical trials (COU-AA, TROPIC, and AFFIRM) and other published studies. Survival of enzalutamide was adjusted to match placebo groups across trials. Probabilistic sensitivity analyses, acceptability curves and net benefit calculations were performed. Results: Abiraterone was the most cost-effective of the treatments (

Collaboration


Dive into the Lixian Zhong's collaboration.

Top Co-Authors

Avatar

Leslie Wilson

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Aimee Loucks

University of California

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Christine Bui

University of California

View shared research outputs
Top Co-Authors

Avatar

Feng Zhang

Massachusetts Institute of Technology

View shared research outputs
Top Co-Authors

Avatar

Gregory Gipson

University of California

View shared research outputs
Top Co-Authors

Avatar
Researchain Logo
Decentralizing Knowledge