Mucosal vaccine-induced cross-reactive CD8+ T cells protect against SARS-CoV-2 XBB.1.5 respiratory tract infection.

A nasally delivered chimpanzee adenoviral-vectored severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine (ChAd-SARS-CoV-2-S) is currently used in India (iNCOVACC). Here, we update this vaccine by creating ChAd-SARS-CoV-2-BA.5-S, which encodes a prefusion-stabilized BA.5 spike protein. Whereas serum neutralizing antibody responses induced by monovalent or bivalent adenoviral vaccines were poor against the antigenically distant XBB.1.5 strain and insufficient to protect in passive transfer experiments, mucosal antibody and cross-reactive memory T cell responses were robust, and protection was evident against WA1/2020 D614G and Omicron variants BQ.1.1 and XBB.1.5 in mice and hamsters. However, depletion of memory CD8+ T cells before XBB.1.5 challenge resulted in loss of protection against upper and lower respiratory tract infection. Thus, nasally delivered vaccines stimulate mucosal immunity against emerging SARS-CoV-2 strains, and cross-reactive memory CD8+ T cells mediate protection against lung infection by antigenically distant strains in the setting of low serum levels of cross-reactive neutralizing antibodies.

OptoLacI: optogenetically engineered lactose operon repressor LacI responsive to light instead of IPTG.

Optogenetics' advancement has made light induction attractive for controlling biological processes due to its advantages of fine-tunability, reversibility, and low toxicity. The lactose operon induction system, commonly used in Escherichia coli, relies on the binding of lactose or isopropyl ß-d-1-thiogalactopyranoside (IPTG) to the lactose repressor protein LacI, playing a pivotal role in controlling the lactose operon. Here, we harnessed the light-responsive light-oxygen-voltage 2 (LOV2) domain from Avena sativa phototropin 1 as a tool for light control and engineered LacI into two light-responsive variants, OptoLacIL and OptoLacID. These variants exhibit direct responsiveness to light and darkness, respectively, eliminating the need for IPTG. Building upon OptoLacI, we constructed two light-controlled E. coli gene expression systems, OptoE.coliLight system and OptoE.coliDark system. These systems enable bifunctional gene expression regulation in E. coli through light manipulation and show superior controllability compared to IPTG-induced systems. We applied the OptoE.coliDark system to protein production and metabolic flux control. Protein production levels are comparable to those induced by IPTG. Notably, the titers of dark-induced production of 1,3-propanediol (1,3-PDO) and ergothioneine exceeded 110% and 60% of those induced by IPTG, respectively. The development of OptoLacI will contribute to the advancement of the field of optogenetic protein engineering, holding substantial potential applications across various fields.

Infiltrating monocytes drive cardiac dysfunction in a cardiomyocyte-restricted mouse model of SARS-CoV-2 infection.

Cardiovascular manifestations of coronavirus disease 2019 (COVID-19) include myocardial injury, heart failure, and myocarditis and are associated with long-term disability and mortality. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA and antigens are found in the myocardium of COVID-19 patients, and human cardiomyocytes are susceptible to infection in cell or organoid cultures. While these observations raise the possibility that cardiomyocyte infection may contribute to the cardiac sequelae of COVID-19, a causal relationship between cardiomyocyte infection and myocardial dysfunction and pathology has not been established. Here, we generated a mouse model of cardiomyocyte-restricted infection by selectively expressing human angiotensin-converting enzyme 2 (hACE2), the SARS-CoV-2 receptor, in cardiomyocytes. Inoculation of Myh6-Cre Rosa26loxP-STOP-loxP-hACE2 mice with an ancestral, non-mouse-adapted strain of SARS-CoV-2 resulted in viral replication within the heart, accumulation of macrophages, and moderate left ventricular (LV) systolic dysfunction. Cardiac pathology in this model was transient and resolved with viral clearance. Blockade of monocyte trafficking reduced macrophage accumulation, suppressed the development of LV systolic dysfunction, and promoted viral clearance in the heart. These findings establish a mouse model of SARS-CoV-2 cardiomyocyte infection that recapitulates features of cardiac dysfunctions of COVID-19 and suggests that both viral replication and resultant innate immune responses contribute to cardiac pathology.IMPORTANCEHeart involvement after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection occurs in multiple ways and is associated with worse outcomes in coronavirus disease 2019 (COVID-19) patients. It remains unclear if cardiac disease is driven by primary infection of the heart or immune response to the virus. SARS-CoV-2 is capable of entering contractile cells of the heart in a culture dish. However, it remains unclear how such infection affects the function of the heart in the body. Here, we designed a mouse in which only heart muscle cells can be infected with a SARS-CoV-2 strain to study cardiac infection in isolation from other organ systems. In our model, infected mice show viral infection, worse function, and accumulation of immune cells in the heart. A subset of immune cells facilitates such worsening heart function. As this model shows features similar to those observed in patients, it may be useful for understanding the heart disease that occurs as a part of COVID-19.

Quantitative measurement of cell-surface displayed proteins based on split-GFP assembly.

BACKGROUND: Microbial cell surface display technology allows immobilizing proteins on the cell surface by fusing them to anchoring motifs, thereby endowing the cells with diverse functionalities. However, the assessment of successful protein display and the quantification of displayed proteins remain challenging. The green fluorescent protein (GFP) can be split into two non-fluorescent fragments, while they spontaneously assemble and emit fluorescence when brought together through complementation. Based on split-GFP assembly, we aim to: (1) confirm the success display of passenger proteins, (2) quantify the number of passenger proteins displayed on individual cells. RESULTS: In this study, we propose two innovative methods based on split-green fluorescent protein (split-GFP), named GFP1-10/GFP11 and GFP1-9/GFP10-11 assembly, for the purpose of confirming successful display and quantifying the number of proteins displayed on individual cells. We evaluated the display efficiency of SUMO and ubiquitin using different anchor proteins to demonstrate the feasibility of the two split-GFP assembly systems. To measure the display efficiency of functional proteins, laccase expression was measured using the split-GFP assembly system by co-displaying GFP11 or GFP10-11 tags, respectively. CONCLUSIONS: Our study provides two split-GFP based methods that enable qualitative and quantitative analyses of individual cell display efficiency with a simple workflow, thus facilitating further comprehensive investigations into microbial cell surface display technology. Both split-GFP assembly systems offer a one-step procedure with minimal cost, simplifying the fluorescence analysis of surface-displaying cells.

DOD-Combo: Bayesian dose finding design in combination trials with meta-analytic-predictive prior.

Combination therapy, a treatment modality that involves multiple treatment agents, has become imperative for improving treatment effectiveness and addressing resistance in the field of oncology. However, determining the most effective dose for these combinations, particularly when dealing with intricate drug interactions and diverse toxicity patterns, presents a substantial challenge. This paper introduces a novel Bayesian dose-finding design for combination therapies with information borrowing, named the DOD-Combo design. Leveraging historical single-agent trials and the meta-analytic-predictive (MAP) power prior, our approach utilizes a copula-type model to connect individual drug priors with joint toxicity probabilities in combination treatments. The MAP power prior allows the integration of information from multiple historical trials, constructing informative priors for each agent. Extensive simulations confirm our method's superior performance compared to combination designs with no information borrowing. By adaptively incorporating historical data, our approach reduces sample sizes and enhances efficiency in selecting the maximum tolerated dose (MTD), effectively addressing the intricate challenges presented by combination trials.

Perceptions and experience of rural older people in oral health management in China: a qualitative study.

BACKGROUND: To explore the perceptions and experience of oral health management among rural older people in China. METHODS: Qualitative methodologies were used in this study. Face-to-face semi-structured interviews were conducted. Thirteen older adults in rural areas were purposively sampled at two metropolitan hospitals in Hunan, China. The data were transcribed and thematically analyzed, and MAXQDA software was used to assist with coding. RESULTS: Three overarching major themes and ten sub­themes capturing the perceptions and experience of oral health management among rural older people were identified. Three themes emerged from the thematic analysis: oral health cognitive bias, poor management behaviors, and limited oral health services. Oral health management as a whole is negative, oral health behaviors are poor, oral health service utilization is limited. CONCLUSIONS: Based on these findings, there is great scope here for improving the current status of oral health for rural older people around awareness, behavior, and access. Oral health education, improved oral health services and primary oral health promotion are warranted.

Crystal Structures of the C-Glycosyltransferase UGT708C1 from Buckwheat Provide Insights into the Mechanism of C-Glycosylation.

C-Glycosyltransferases (CGTs) catalyze the formation of C-glycosidic bonds for the biosynthesis of C-glycosides, but the underlying mechanism is unclear. This process improves the solubility and bioavailability of specialized metabolites, which play important roles in plant growth and development and represent rich resources for drug discovery. Here, we performed functional and structural studies of the CGT UGT708C1 from buckwheat (Fagopyrum esculentum). Enzymatic analysis showed that UGT708C1 is capable of utilizing both UDP-galactose and UDP-glucose as sugar donors. Our structural studies of UGT708C1 complexed with UDP-glucose and UDP identified the key roles of Asp382, Gln383, Thr151, and Thr150 in recognizing the sugar moiety of the donor substrate and Phe130, Tyr102, and Phe198 in binding and stabilizing the acceptor. A systematic site-directed mutagenesis study confirmed the important roles of these residues. Further structural analysis combined with molecular dynamics simulations revealed that phloretin binds to the acceptor binding pocket in a bent state with a precise spatial disposition and complementarity. These findings provide insights into a catalytic mechanism for CGTs.

BEATS: Bayesian hybrid design with flexible sample size adaptation for time-to-event endpoints.

As the roles of historical trials and real-world evidence in drug development have substantially increased, several approaches have been proposed to leverage external data and improve the design of clinical trials. While most of these approaches focus on methodology development for borrowing information during the analysis stage, there is a risk of inadequate or absent enrollment of concurrent control due to misspecification of heterogeneity from external data, which can result in unreliable estimates of treatment effect. In this study, we introduce a Bayesian hybrid design with flexible sample size adaptation (BEATS) that allows for adaptive borrowing of external data based on the level of heterogeneity to augment the control arm during both the design and interim analysis stages. Moreover, BEATS extends the Bayesian semiparametric meta-analytic predictive prior (BaSe-MAP) to incorporate time-to-event endpoints, enabling optimal borrowing performance. Initially, BEATS calibrates the expected sample size and initial randomization ratio based on heterogeneity among the external data. During the interim analysis, flexible sample size adaptation is performed to address conflicts between the concurrent and historical control, while also conducting futility analysis. At the final analysis, estimation is provided by incorporating the calibrated amount of external data. Therefore, our proposed design allows for an approximation of an ideal randomized controlled trial with an equal randomization ratio while controlling the size of the concurrent control to benefit patients and accelerate drug development. BEATS also offers optimal power and robust estimation through flexible sample size adaptation when conflicts arise between the concurrent control and external data.

PMED: Optimal Bayesian Platform Trial Design with Multiple Endpoints.

In oncology drug development, indication selection and optimal dose identification are the primary objectives for the early phase of clinical trials and could significantly impact the probability of success. Master protocols, e.g., basket trial, umbrella trial, and platform trial, have become popular in practice considering the connection of trial designs with multiple indications and treatment candidates. They also enable the optimization of operational resources and maximize the capability of data-driven decision-making. However, most of the available designs are developed with the efficacy endpoint only for treatment effect estimation and testing, without consideration of the safety end point. Thus, it often lacks a comprehensive quantitative framework to allow optimal treatment selection, which could put future development at risk. We propose an optimal Bayesian platform trial design with multiple end points (PMED) to characterize the overall benefit-risk profile. The design is further extended to allow treatment and indication selection within and across arms, with continuous monitoring on multiple interim analyses for futility. In addition, we propose dynamic borrowing across arms to increase the efficiency and accuracy of estimation given the level of similarity across arms. A hierarchical hypothesis structure is utilized to achieve optimal indication and treatment combination selection by controlling family-wise error. Through simulation studies, we show that PMED is a robust design under the studied scenarios with superb power and controlled family-wise error rate.

Assessment of the oral health literacy and oral health behaviors among nurses in China: a cross-sectional study.

PURPOSE: Oral health is important for general health; nurses are expected to possess good oral health awareness and work together for public oral health promotion. The purpose of this study is to investigate oral health literacy (OHL)and oral health behaviors of nurses, and explore the association between oral health literacy with demographic variables and oral health behaviors. METHODS: A cross-sectional study in a tertiary hospital was conducted using a short-form Health Literacy in Dentistry-14 (HeLD-14) and a 16-items oral health behaviors questionnaire. Information about the subjects' demographic details including age, gender, place of residence, marital status, marital status, education level, monthly household income, working experience, etc. were collected. Independent sample t- test, One- way ANOVA, and multivariable regression were used to identify the association of oral health literacy with demographic variables and oral health behaviors. RESULTS: A total number of 317 nursing nurses participated in the survey, with a mean OHL score of 36.72, SD10.531, 21.8% were categorized as good, 34.1% medium and 44.2% poor oral health literacy; monthly household income, self-rated oral health, brushing time, use of fluoride toothpaste, and regular oral examination were signficantly associated with OHL scores. CONCLUSION: The overall oral health literacy of the nurse population is at a moderate to low level. These findings may help to map and design an oral health education intervention to improve oral health literacy amongst nurses, especially nurses with low monthly household income and poor self-assessed oral health status. Nursing administrators and nursing educators should pay more attention to the oral health status of the nurse population.

Propensity-score-based meta-analytic predictive prior for incorporating real-world and historical data.

As the availability of real-world data sources (eg, EHRs, claims data, registries) and historical data has rapidly surged in recent years, there is an increasing interest and need from investigators and health authorities to leverage all available information to reduce patient burden and accelerate both drug development and regulatory decision making. Bayesian meta-analytic approaches are a popular historical borrowing method that has been developed to leverage such data using robust hierarchical models. The model structure accounts for various degrees of between-trial heterogeneity, resulting in adaptively discounting the external information in the case of data conflict. In this article, we propose to integrate the propensity score method and Bayesian meta-analytic-predictive (MAP) prior to leverage external real-world and historical data. The propensity score methodology is applied to select a subset of patients from external data that are similar to those in the current study with regards to key baseline covariates and to stratify the selected patients together with those in the current study into more homogeneous strata. The MAP prior approach is used to obtain stratum-specific MAP prior and derive the overall propensity score integrated meta-analytic predictive (PS-MAP) prior. Additionally, we allow for tuning the prior effective sample size for the proposed PS-MAP prior, which quantifies the amount of information borrowed from external data. We evaluate the performance of the proposed PS-MAP prior by comparing it to the existing propensity score-integrated power prior approach in a simulation study and illustrate its implementation with an example of a single-arm phase II trial.

Role of SIRT1 in Isoflurane Conditioning-Induced Neurovascular Protection against Delayed Cerebral Ischemia Secondary to Subarachnoid Hemorrhage.

We recently reported that isoflurane conditioning provided multifaceted protection against subarachnoid hemorrhage (SAH)-induced delayed cerebral ischemia (DCI), and this protection was through the upregulation of endothelial nitric oxide synthase (eNOS). SIRT1, an NAD-dependent deacetylase, was shown to be one of the critical regulators of eNOS. The aim of our current study is to examine the role of SIRT1 in isoflurane conditioning-induced neurovascular protection against SAH-induced DCI. Mice were divided into four groups: sham, SAH, or SAH with isoflurane conditioning (with and without EX-527). Experimental SAH via endovascular perforation was performed. Anesthetic conditioning was performed with isoflurane 2% for 1 h, 1 h after SAH. EX-527, a selective SIRT1 inhibitor, 10 mg/kg was injected intraperitoneally immediately after SAH in the EX-527 group. SIRT1 mRNA expression and activity levels were measured. Vasospasm, microvessel thrombosis, and neurological outcome were assessed. SIRT1 mRNA expression was downregulated, and no difference in SIRT1 activity was noted after isoflurane exposure. Isoflurane conditioning with and without EX-527 attenuated vasospasm, microvessel thrombosis and improved neurological outcomes. Our data validate our previous findings that isoflurane conditioning provides strong protection against both the macro and micro vascular deficits induced by SAH, but this protection is likely not mediated through the SIRT1 pathway.

Expression, purification and oligomerization of the S-adenosylmethionine transporter.

The S-adenosylmethionine carrier (SAMC) is a membrane transport protein located on the inner membrane of mitochondria that catalyzes the import of S-adenosylmethionine (SAM) into the mitochondrial matrix. SAMC mutations can cause a series of mitochondrial defects, including those affecting RNA stability, protein modification, mitochondrial translation and biosynthesis. Here, we describe the expression, purification and oligomerization of SAMC. The SAMC genes from three species were cloned into a eukaryotic expression vector with a GFP tag, and confocal microscopy analysis showed that these SAMCs were localized to mitochondria. A BacMam expression system was used for the expression of D. rerio SAMC with a FLAG tag. A size-exclusion chromatography analysis showed that SAMC may form a hexamer. A negative-staining electron microscopy analysis showed that SAMC formed tiny uniform particles and also confirmed the oligomerization of SAMC.

The i3+3 design for phase I clinical trials.

The traditional rule-based design, 3 + 3, has been shown to be less likely to achieve the objectives of dose-finding trials when compared with model-based designs. We propose a new rule-based design called i3 + 3, which is based on simple but more advanced rules that account for the variabilities in the observed data. We compare the operating characteristics for the proposed i3 + 3 design with other popular phase I designs by simulation. The i3 + 3 design is far superior than the 3 + 3 design in trial safety and the ability to identify the true MTD. Compared with model-based phase I designs, i3 + 3 also demonstrates comparable performances.

Distinct Mechanism for the Formation of the Ribonucleoprotein Complex of Tomato Spotted Wilt Virus.

The Tomato spotted wilt virus (TSWV) belongs to the Tospovirus genus of the Bunyaviridae family and represents the sole plant-infecting group within bunyavirus. TSWV encodes a nucleocapsid protein (N) which encapsidates the RNA genome to form a ribonucleoprotein complex (RNP). In addition, the N has multiple roles during the infection of plant cells. Here, we report the crystal structure of the full-length TSWV N. The N features a body domain consisting of an N-lobe and a C-lobe. These lobes clamp a positively charged groove which may constitute the RNA binding site. Furthermore, the body domains are flanked by N- and C-terminal arms which mediate homotypic interactions to the neighboring subunits, resulting in a ring-shaped N trimer. Interestingly, the C terminus of one protomer forms an additional interaction with the protomer of an adjacent trimer in the crystal, which may constitute a higher-order oligomerization contact. In this way, this study provides insights into the structure and trimeric assembly of TSWV N, which help to explain previous functional findings, but also suggests distinct N interactions within a higher-order RNP.IMPORTANCE TSWV is one of the most devastating plant pathogens that cause severe diseases in numerous agronomic and ornamental crops worldwide. TSWV is also the prototypic member of the Tospovirus genus, which is the sole group of plant-infecting viruses in the bunyavirus family. This study determined the structure of full-length TSWV N in an oligomeric state. The structural observations explain previously identified biological properties of TSWV N. Most importantly, the additional homotypic interaction between the C terminus of one protomer with another protomer indicates that there is a distinct mechanism of RNP formation in the bunyavirus family, thereby enhancing the current knowledge of negative-sense single-stranded RNA virus-encoded N. TSWV N is the last remaining representative N with an unknown structure in the bunyavirus family. Combined with previous studies, the structure of TSWV N helps to build a complete picture of the bunyavirus-encoded N family and reveals a close evolutionary relationship between orthobunyavirus, phlebovirus, hantavirus, and tospovirus.

The Trajectory of Oral Mucositis in Head and Neck Cancer Patients Undergoing Radiotherapy and its Influencing Factors.

BACKGROUND: Oral mucositis (OM) is a common and severe side effect of radiotherapy in head and neck cancer (HNC). The study aimed to investigate the longitudinal changes in OM and its influencing factors in patients with HNC during radiotherapy. METHODS: This was a retrospective longitudinal observational study. From July 2022 to March 2023, patients with HNC undergoing radiation therapy were enrolled. OM, oral hygiene, oral infections, oral pain, feeding route, and laboratory indicators were measured at 7 times. The influencing factors of OM were analyzed using generalized estimation equations (GEEs). RESULTS: A total of 160 patients were included in this study. The prevalence of severe OM at T0, T1, T2, T3, T4, T5, and T6 was 0, 0, 2.5%, 9.4%, 26.9%, 24.4%, and 26.9%, respectively. The prevalence of grade 1-2 OM at T0, T1, T2, T3, T4, T5, and T6 was 0, 16.3%, 53.1%, 65.1%, 61.9%, 70.7%, and 71.3%, respectively. Duration of diagnosis, clinical stage, N stage, M stage, surgery, diabetes, radiotherapy dose, oral hygiene, oral infection, oral pain, feeding route, and lymphocyte impacted OM significantly in the GEEs multivariate model. CONCLUSIONS: OM occurs in almost all patients with HNC who undergo radiotherapy. Changes in the severity of OM are a dynamic process, with the severity increasing with the cumulative radiotherapy dose. Specialist oral evaluation and oral care are needed to alleviate the severity of OM in HNC patients.

Development and Validation of the Healthcare-Seeking Intention Questionnaire in Patients with Diabetic High-Risk Foot.

Objective: Timely screening and intervention can prevent the development of the diabetic foot. However, delayed visits to the clinic are common among diabetic foot patients. The study aimed to develop and validate a questionnaire to assess healthcare-seeking behavior among patients with diabetic high-risk foot. Methods: The questionnaire of healthcare-seeking intention for patients with diabetic high-risk foot was developed in two phases: (1) Developing the questionnaire: 1) questionnaire items were formulated after literature review, group discussion and semi-qualitative interview; 2) a two-round modified Delphi method was to examine the content validity and the degree of consistency in questionnaire items; 3) conducting pre-survey to revise the questionnaire items. (2) Assessing the internal reliability and construct validity. Results: The final questionnaire consisted of five main themes and 28 items with a five-point rating. Cronbach's alpha coefficients for the five dimensions were respectively 0.937 (relevant knowledge of diabetic foot), 0.669 (attitudes toward seeking care), 0.896 (social support for seeking care), 0.621 (efficacy in coping with foot symptoms), 0.871 (intention to seek care). The Scale-level Content Validity Index of the five parts was 1.00, 0.80, 1.00, 1.00, and 1.00, respectively. The Kaiser-Meyer-Olkin values for each dimension was greater than 0.7, and the p-value for Bartlett's test of sphericity was less than 0.05. Conclusion: This questionnaire showed good validity, internal consistency, and reliability. It provided a potentially useful instrument to evaluate healthcare-seeking intention among patients with diabetic high-risk foot.

Oral health behavior and oral health service utilization among cancer patients in China: A multicenter cross-sectional study.

Purpose: Oral health plays an important role in overall health. But there is scarce information available on oral health behavior and oral health service utilization among cancer patients. This study aimed to evaluate oral health behavior and oral health service utilization among different population groups of cancer patients in China. Methods: A multicenter cross-sectional study in three tertiary hospitals was conducted to explore the oral health behaviors and oral health service utilization of 162 cancer patients in China. Results: We investigated a total of 162 cancer patients, 81 from urban and rural areas, respectively. The participant's ages ranged from 18 and 82 years, mean age was 44.62 years (SD = 15.72). Overall, cancer patients have poor oral health behaviors and limited oral health service utilization. There were statistically significant differences (p < 0.05) between urban and rural cancer patients in terms of oral health behaviors, including brushing methods, the use of fluoride toothpaste, the use of dental floss, dental caries, and bleeding gums while brushing teeth. As for oral health service utilization, there were significant differences (p < 0.05) between urban and rural cancer patients on regular dental cleaning, the reasons for visiting a dental clinic, and whether they took the initiative to learn about oral health. Conclusion: The study findings suggest that cancer patients had poor oral health behaviors and limited oral health service utilization, and rural patients perform poorer than their urban counterparts. Oral health education should be provided to cancer patients to improve their oral health behaviors and oral health service utilization.

Propofol Affords No Protection against Delayed Cerebral Ischemia in a Mouse Model of Subarachnoid Hemorrhage.

Delayed cerebral ischemia (DCI) is an important contributor to poor outcomes in aneurysmal subarachnoid hemorrhage (SAH) patients. We previously showed that volatile anesthetics such as isoflurane, sevoflurane and desflurane provided robust protection against SAH-induced DCI, but the impact of a more commonly used intravenous anesthetic agent, propofol, is not known. The goal of our current study is to examine the neurovascular protective effects of propofol on SAH-induced DCI. Twelve-week-old male wild-type mice were utilized for the study. Mice underwent endovascular perforation SAH or sham surgery followed one hour later by propofol infusion through the internal jugular vein (2 mg/kg/min continuous intravenous infusion). Large artery vasospasm was assessed three days after SAH. Neurological outcome assessment was performed at baseline and then daily until animal sacrifice. Statistical analysis was performed via one-way ANOVA and two-way repeated measures ANOVA followed by the Newman-Keuls multiple comparison test with significance set at p < 0.05. Intravenous propofol did not provide any protection against large artery vasospasm or sensory-motor neurological deficits induced by SAH. Our data show that propofol did not afford significant protection against SAH-induced DCI. These results are consistent with recent clinical studies that suggest that the neurovascular protection afforded by anesthetic conditioning is critically dependent on the class of anesthetic agent.