- Single-cell and spatial transcriptomics
- Immune cells in cancer
- Neuroinflammation and Neurodegeneration Mechanisms
- Pregnancy and preeclampsia studies
- Reproductive System and Pregnancy
- Intensive Care Unit Cognitive Disorders
- Cell Image Analysis Techniques
- Head and Neck Cancer Studies
- Body Image and Dysmorphia Studies
- Birth, Development, and Health
- Empathy and Medical Education
- Tattoo and Body Piercing Complications
- Dental Implant Techniques and Outcomes
- Bioinformatics and Genomic Networks
- S100 Proteins and Annexins
- Cardiac, Anesthesia and Surgical Outcomes
- COVID-19 Clinical Research Studies
- Orthodontics and Dentofacial Orthopedics
- Preterm Birth and Chorioamnionitis
- Enhanced Recovery After Surgery
- Long-Term Effects of COVID-19
- Surgical Simulation and Training
- Anesthesia and Neurotoxicity Research
- Oral Health Pathology and Treatment
- Salivary Gland Disorders and Functions
Stanford University
2015-2024
Stanford Medicine
2019-2020
National Medical Research Center of Dentistry and Maxillofacial Surgery
2016
Stanford Health Care
2014
The maintenance of pregnancy relies on finely tuned immune adaptations. We demonstrate that these adaptations are precisely timed, reflecting an clock in women delivering at term. Using mass cytometry, the abundance and functional responses all major cell subsets were quantified serial blood samples collected throughout pregnancy. Cell signaling-based Elastic Net, a regularized regression method adapted from elastic net algorithm, was developed to infer prospectively validate predictive...
Multiple biological clocks govern a healthy pregnancy. These mechanisms produce immunologic, metabolomic, proteomic, genomic and microbiomic adaptations during the course of Modeling chronology these full-term pregnancy provides frameworks for future studies examining deviations implicated in pregnancy-related pathologies including preterm birth preeclampsia.
Peripheral blood dynamics in the 100 days before delivery reveal a transition from pregnancy maintenance to prelabor biology.
Adoption of high-content omic technologies in clinical studies, coupled with computational methods, has yielded an abundance candidate biomarkers. However, translating such findings into bona fide biomarkers remains challenging. To facilitate this process, we introduce Stabl, a general machine learning method that identifies sparse, reliable set by integrating noise injection and data-driven signal-to-noise threshold multivariable predictive modeling. Evaluation Stabl on synthetic datasets...
Preeclampsia is one of the most severe pregnancy complications and a leading cause maternal death. However, early diagnosis preeclampsia remains clinical challenge. Alterations in normal immune adaptations necessary for maintenance healthy are central features preeclampsia. prior analyses primarily focused on static assessment select cell subsets have provided limited information prediction Here, we used high-dimensional mass cytometry immunoassay to characterize dynamic changes over 370...
<h3>Importance</h3> Worldwide, preterm birth (PTB) is the single largest cause of deaths in perinatal and neonatal period associated with increased morbidity young children. The PTB multifactorial, development generalizable biological models may enable early detection guide therapeutic studies. <h3>Objective</h3> To investigate ability transcriptomics proteomics profiling plasma metabolomics analysis urine to identify measurements PTB. <h3>Design, Setting, Participants</h3> This...
Stroke is a leading cause of cognitive impairment and dementia, but the mechanisms that underlie post-stroke decline are not well understood. produces profound local systemic immune responses engage all major innate adaptive compartments. However, whether response to stroke contributes long-term disability remains ill-defined. We used single-cell mass cytometry approach comprehensively functionally characterize in longitudinal blood samples from 24 patients over course 1 year correlated with...
The biological determinants underlying the range of coronavirus 2019 (COVID-19) clinical manifestations are not fully understood. Here, over 1,400 plasma proteins and 2,600 single-cell immune features comprising cell phenotype, endogenous signaling activity, responses to inflammatory ligands cross-sectionally assessed in peripheral blood from 97 patients with mild, moderate, severe COVID-19 40 uninfected patients. Using an integrated computational approach analyze combined proteomic data, we...
Patient anatomy, practitioner experience, and surgical approach are all factors that influence implant accuracy. However, the relative importance of each factor is poorly understood. The present study aimed to identify which most critically determine accuracy aid in case selection for guided versus freehand surgery.One practitioner's ideal angulation position was compared with his achieved radiographically 450 implants placed using a conventional method. contribution 11 demographic,...
Abstract High-throughput single-cell analysis technologies produce an abundance of data that is critical for profiling the heterogeneity cellular systems. We introduce VoPo ( https://github.com/stanleyn/VoPo ), a machine learning algorithm predictive modeling and comprehensive visualization captured in large datasets. In three mass cytometry datasets, with largest measuring hundreds millions cells over samples, defines phenotypically functionally homogeneous cell populations. further...
Abstract Preterm labor and infections are the leading causes of neonatal deaths worldwide. During pregnancy, immunological cross talk between mother her fetus is critical for maintenance pregnancy delivery an immunocompetent neonate. A precise understanding healthy fetomaternal immunity important first step to identifying dysregulated immune mechanisms driving adverse maternal or outcomes. This study combined single-cell mass cytometry paired peripheral umbilical cord blood samples from...
Chronic periodontitis (ChP) is a prevalent inflammatory disease affecting 46% of the US population. ChP produces profound local response to dysbiotic oral microbiota that leads destruction alveolar bone and tooth loss. also associated with systemic illnesses, including cardiovascular diseases, malignancies, adverse pregnancy outcomes. However, mechanisms underlying these health outcomes are poorly understood. In this prospective cohort study, we used highly multiplex mass cytometry...
Abstract Glucocorticoids (GC) are a controversial yet commonly used intervention in the clinical management of acute inflammatory conditions, including sepsis or traumatic injury. In context major trauma such as surgery, concerns have been raised regarding adverse effects from GC, thereby necessitating better understanding how GCs modulate immune response. Here we report results randomized controlled trial (NCT02542592) which employ high-dimensional mass cytometry approach to characterize...
Abstract Exposure to microgravity (µG) during space flights produces a state of immunosuppression, leading increased viral shedding, which could interfere with long term missions. However, the cellular mechanisms that underlie immunosuppressive effects µG are ill-defined. A deep understanding human immune adaptations is necessary first step design data-driven interventions aimed at preserving astronauts’ defense short- and long-term spaceflights. We employed high-dimensional mass cytometry...
Abstract Background Postoperative complications occur in up to 43% of patients after surgery, resulting increased morbidity and economic burden. Prehabilitation has the potential increase patients’ preoperative health status thereby improve postoperative outcomes. However, reported results prehabilitation are contradictory. The objective this systematic review is evaluate effects on outcomes (postoperative complications, hospital length stay, pain at day 1) undergoing elective surgery....
Our long-term objective is to devise methods improve osteotomy site preparation and, in doing so, facilitate implant osseointegration. As a first step this process, we developed standardized oral model ovariectomized rats. There were 2 unique features model: first, the rats exhibited an osteopenic phenotype, reminiscent of bone health that has been reported for average dental patient population. Second, osteotomies produced healed tooth extraction sites and therefore represented placement...
Computer-assisted surgical (CAS) planning tools are available for craniofacial surgery, but usually based on computer-aided design (CAD) that lack the ability to detect collision of virtual objects (i.e., fractured bone segments). We developed a CAS system featuring sense touch (haptic) enables surgeons physically interact with individual, patient-specific anatomy and immerse in three-dimensional environment. In this study, we evaluated initial user experience our novel compared an existing...
Objective: The aim of this study was to determine whether single-cell and plasma proteomic elements the host's immune response surgery accurately identify patients who develop a surgical site complication (SSC) after major abdominal surgery. Summary Background Data: SSCs may occur in up 25% undergoing bowel resection, resulting significant morbidity economic burden. However, accurate prediction remains clinically challenging. Leveraging high-content technologies comprehensively profile...