Model-based dosing optimization and therapeutic drug monitoring practices of teicoplanin in patients with complicated or non-complicated methicillin-resistant staphylococcus aureus infection.

AIMS: This study aims to establish a population pharmacokinetic (PK) model of teicoplanin in Chinese adult patients to evaluate the dosing regimen in the label sheet and optimize it. METHODS: Nonlinear mixed-effects modelling was used to estimate PK parameters. Monte Carlo simulations were used to evaluate the attainment of various dosing regimens in achieving the target trough concentrations in patients with normal or decreased renal function. RESULTS: A total of 115 patients were enrolled in this retrospective study. Creatinine clearance (CrCL) and albumin (ALB) were identified as covariates on the clearance of teicoplanin. For the treatment of non-complicated methicillin-resistant Staphylococcus aureus (MRSA) infections in patients with normal renal function and serum ALB concentration, the recommended dosing regimen was 600 mg q12h with five administrations as the loading dose followed by 600 mg qd as the maintenance dose; for the treatment of serious and/or complicated MRSA infections, the recommended dosing regimen was 800 mg q12h with five administrations as the loading dose followed by 800 mg qd as the maintenance dose. It is worth noting that both the loading and maintenance doses ought to be modified based on the patient's renal function and serum ALB concentration. In addition, trough concentrations of teicoplanin were significantly increased every other week. CONCLUSIONS: Both loading dosing and maintenance dosing regimens were recommended to be adjusted according to patient's renal function and serum ALB concentration. In addition, it is necessary to perform follow-up therapeutic drug monitoring of teicoplanin at least once every week.

Tf2O-Mediated P(O)-N Bond Formation of Either P(O)-OH or P(O)-H Reagents with Multitype Amines.

We have developed a Tf2O-mediated approach for the direct amination of either P(O)-OH or P(O)-H reagents with a variety of aliphatic or aromatic amines. Without the requirement of precious metals and toxic reagents, this protocol provides an alternative route to various phosphinamides and phosphoramides. The reaction proceeds under simple and mild conditions and can be effectively scaled up with similar efficiency.

Atomic Structures of Coxsackievirus B5 Provide Key Information on Viral Evolution and Survival.

Coxsackie virus B5 (CVB5), a main serotype in human Enterovirus B (EVB), can cause severe viral encephalitis and aseptic meningitis among infants and children. Currently, there is no approved vaccine or antiviral therapy available against CVB5 infection. Here, we determined the atomic structures of CVB5 in three forms: mature full (F) particle (2.73 Å), intermediate altered (A) particle (2.81 Å), and procapsid empty (E) particle (2.95 Å). Structural analysis of F particle of CVB5 unveiled similar structures of "canyon," "puff," and "knob" as those other EV-Bs. We observed structural rearrangements that are alike during the transition from F to A particle, indicative of similar antigenicity, cell entry, and uncoating mechanisms shared by all EV-Bs. Further comparison of structures and sequences among all structure-known EV-Bs revealed that while the residues targeted by neutralizing MAbs are diversified and drive the evolution of EV-Bs, the relative conserved residues recognized by uncoating receptors could serve as the basis for the development of antiviral vaccines and therapeutics. IMPORTANCE As one of the main serotypes in Enterovirus B, CVB5 has been commonly reported in recent years. The atomic structures of CVB5 shown here revealed classical features found in EV-Bs and the structural rearrangement occurring during particle expansion and uncoating. Also, structure- and sequence-based comparison between CVB5 and other structure-known EV-Bs screened out key domains important for viral evolution and survival. All these provide insights into the development of vaccine and therapeutics for EV-Bs.

Linezolid and the risk of QT interval prolongation: A pharmacovigilance study of the Food and Drug Administration Adverse Event Reporting System.

AIMS: Few studies have investigated linezolid (LZD)-associated cardiotoxicity. This study explored the potential association between LZD and QT interval prolongation. METHODS: Adverse event reports of QT interval prolongation associated with LZD from the Food and Drug Administration Adverse Event Reporting System from January 2013 to December 2021 were analysed and the reporting odds ratio (ROR) with 95% confidence intervals were calculated. RESULTS: A total of 6738 adverse event reports of LZD as the primary and secondary suspected drug were obtained from the database, including 192 reports with electrocardiogram QT prolonged (QTp), and the ROR value was 26.1 (95% CI = 22.6-30.2). There were 8 reports of long QT syndrome, ROR 14.2 (95% CI = 7.1-28.5); 5 reports of torsade de pointes, ROR 3.2 (95% CI = 1.3-7.6); and 5 reports of ventricular tachycardia, ROR 1.9 (95% CI = 0.8-4.5). Subgroup analysis revealed that patients with tuberculosis treated with LZD had a higher reporting rate among all QTp reports, exhibiting an odds ratio of 330.0 (95% CI = 223.1-488.1). The odds ratios of QTp associated with LZD treatments in patients with and without tuberculosis were 4.2 (95% CI = 3.4-5.3) and 1.2 (95% CI = 0.8-1.6), respectively. CONCLUSION: The study showed an association between LZD and QT interval prolongation. In the report on patients with tuberculosis, the incidence of QTp was higher when treated with LZD.

A dual-attention based coupling network for diabetes classification with heterogeneous data.

Diabetes Mellitus (DM) is a group of metabolic disorders characterized by hyperglycaemia in the absence of treatment. Classification of DM is essential as it corresponds to the respective diagnosis and treatment. In this paper, we propose a new coupling network with hierarchical dual-attention that utilizes heterogeneous data, including Flash Glucose Monitoring (FGM) data and biomarkers in electronic medical records. The long short-term memory-based FGM sub-network extracts the time-dependent features of dynamic FGM sequences, while the biomarkers sub-network learns the features of static biomarkers. The convolutional block attention module (CBAM) for dispersing the feature weights of the spatial and channel dimensions is implemented into the FGM sub-network to endure the variability of FGM and allows us to extract high-level discriminative features more accurately. To better adjust the importance weights of the characteristics of the two sub-networks, self-attention is introduced to integrate the characteristics of heterogeneous data. Based on the dataset provided by Peking University People's Hospital, the proposed method is evaluated through factorial experiments of multi-source heterogeneous data, ablation studies of various attention strategies, time consumption evaluation and quantitative evaluation. The benchmark tests reveal the proposed network achieves a type 1 and 2 diabetes classification accuracy of 95.835% and the comprehensive performance metrics, including Matthews correlation coefficient, F1-score and G-mean, are 91.333%, 94.939% and 94.937% respectively. In the factorial experiments, the proposed method reaches the maximum area under the receiver operating characteristic curve of 0.9428, which indicates the effectiveness of the coupling between the nominated sub-networks. The coupling network with a dual-attention strategy performs better than the one without or only with a single-attention strategy in the ablation study as well. In addition, the model is also tested on another data set, and the accuracy of the test reaches 94.286%, reflecting that the model is robust when it is transferred to untrained diabetes data. The experimental results show that the proposed method is feasible in the classification of diabetes types. The code is available at https://github.com/bitDalei/Diabetes-Classification-with-Heterogeneous-Data.

Cell damage and neutrophils promote the infection of Mycoplasma pneumoniae and inflammatory response.

Mycoplasma pneumoniae (MP) is an important respiratory pathogen of human. The infection of MP can cause direct damage and immune damage in lung, resulting in Mycoplasma pneumoniae pneumonia (MPP). In this study, we aim to investigate the pathogenesis of MPP by detecting the proliferation of MP under conditions of cell damages and neutrophils in vitro. Firstly, we found the supplements of intracellular fluid, protein and RNA derived from intracellular fluid of A549 cells contribute to the survival of MP, thereby promoting the infection of MP. Cell damage can also significantly contribute to the survival of MP without supplements. At the same time, the additions of supplements contribute to apoptosis and the expression of IL-8 and IL-1ß. Further, we found live neutrophils show bactericidal activity to MP, and the phagocytosis of MP promotes apoptosis of neutrophils. When co-incubated with MP and A549 cells, the proliferation of MP in the high neutrophils proportion groups were accelerated with functional decline of neutrophils, and the level of extracellular IL-1ß showed a time and dose dependent manner to neutrophils. These results suggest that the release of intracellular nutrients by damaged cells and functional decline of neutrophils can promote the infection of MP and play roles in the activation of inflammatory response. Therefore, lung damage and infiltration of neutrophils would be important factors affecting the development of MPP.

Intraventricular colistin sulphate as a last resort therapy in a patient with multidrug-resistant Acinetobacter baumannii induced post-neurosurgical ventriculitis.

Limited therapeutic options exist for multidrug-resistant/extensively drug-resistant Acinetobacter baumannii (MDR/XDR-Ab) meningitis/ventriculitis. A combination of intravenous and intraventricular (IVT)/intrathecal (IT) polymyxins achieves good therapeutic outcomes for cases of healthcare-associated MDR/XDR-Ab meningitis/ventriculitis. Colistin is commercially available as colistin sulphate and its sulphomethylated derivative. However, the effect and safety of colistin sulphate in the treatment of MDR/XDR-Ab meningitis/ventriculitis has not been reported. We report on a 66-year-old male patient who developed post-neurosurgical ventriculitis caused by MDR-Ab. IVT concomitant intravenous colistin sulphate was used as a last-resort antimicrobial therapy, the patient's ventriculitis was dramatically improved, and the concentrations of CSF colistin were higher than the MIC breakpoint throughout the treatment. Meanwhile, no nephrotoxicity or neurotoxicity was observed during the treatment.

Trough polymyxin B plasma concentration is an independent risk factor for its nephrotoxicity.

AIMS: Data regarding clinical pharmacokinetic/toxicodynamic (PK/TD) of polymyxin B is short of direct quantitative data. This study aims to investigate the risk factors of polymyxin B associated acute kidney injury (AKI) and to assess the relationship between polymyxin B plasma levels and its nephrotoxicity. METHODS: A retrospective study was performed in adult patients treated with polymyxin B. Risk factors associated with AKI and plasma trough concentrations of polymyxin B were identified via medical record review. A multivariate logistic regression model was established and the risk of polymyxin B-associated AKI were predicted by a receiver operating characteristic curve, with maximal Youden index used to identify safety thresholds among the study population. RESULTS: Fifty-four adult patients were included in the study. AKI was detected in 14 patients during polymyxin B treatment (25.9%, 14 out of 54). Cmin (odds ratio [OR] 2.071; 95% confidence interval [CI] 1.235-3.472) and baseline serum creatinine (OR 1.024; 95% CI 1.005-1.043) were significant independent risk factors for developing AKI. The area under the ROC curve of the combined predictor was larger based on the above factors. When the Youden index was at maximum, the optimal cut-off point was 6.678 of the ROC curve. When Cmin ≥ 3.13 mg/L, the probability of AKI was more than 50%. CONCLUSION: In this study, when the calculated combined predictor value was >6.678, there was an increased risk of AKI. Maintaining a polymyxin B Cmin level below 3.13 mg/L may be helpful in reducing the incidence of polymyxin B associated nephrotoxicity.

Flash glucose monitoring data analysed by detrended fluctuation function on beta-cell function and diabetes classification.

AIM: We aimed to use data-driven glucose pattern analysis to unveil the correlation between the metrics reflecting glucose fluctuation and beta-cell function, and to identify the possible role of this metric in diabetes classification. MATERIALS AND METHODS: In total, 78 participants with type 1 diabetes and 59 with type 2 diabetes were enrolled in this study. All participants wore a flash glucose monitoring system, and glucose data were collected. A detrended fluctuation function (DFF) was utilized to extract glucose fluctuation information from flash glucose monitoring data and a DFF-based glucose fluctuation metric was proposed. RESULTS: For the entire study population, a significant negative correlation between the DFF-based glucose fluctuation metric and fasting C-peptide was observed (r = -0.667; P <.001), which was larger than the correlation coefficient between the fasting C-peptide and mean amplitude of plasma glucose excursions (r = -0.639; P < .001), standard deviation (r = -0.649; P <.001), mean blood glucose (r = -0.519; P < .001) and time in range (r = 0.593; P < .001). As glucose data analysed by DFF revealed a clear bimodal distribution among the total participants, we randomly assigned the 137 participants into discovery cohorts (n = 100) and validation cohorts (n = 37) for 10 times to evaluate the consistency and effectiveness of the proposed metric for diabetes classification. The confidence interval for area under the curve according to the receiver operating characteristic analysis in the 10 discovery cohorts achieved (0.846, 0.868) and that for the 10 validation cohorts was (0.799, 0.862). In addition, the confidence intervals for sensitivity and specificity in the discovery cohorts were (75.5%, 83.0%), (81.3%, 88.5%) and (71.8%, 88.3%), (76.5%, 90.3%) in the validation cohorts, indicating the potential capacity of DFF in distinguishing type 1 and type 2 diabetes. CONCLUSIONS: Our study first proposed the possible role of data-driven analysis acquired glucose metric in predicting beta-cell function and diabetes classification, and a large-scale, multicentre study will be needed in the future.

Development of spike protein-based fluorescence lateral flow assay for the simultaneous detection of SARS-CoV-2 specific IgM and IgG.

The pandemic outbreak of the 2019 coronavirus disease (COVID-19), which is caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is still spreading rapidly and poses a great threat to human health. As such, developing rapid and accurate immunodiagnostic methods for the identification of infected persons is needed. Here, we proposed a simple but sensitive on-site testing method based on spike protein-conjugated quantum dot (QD) nanotag-integrated lateral flow immunoassay (LFA) to simultaneously detect SARS-CoV-2-specific IgM and IgG in human serum. Advanced silica-core@dual QD-shell nanocomposites (SiO2@DQD) with superior luminescence and stability were prepared to serve as fluorescent nanotags in the LFA strip and guarantee high sensitivity and reliability of the assay. The performance of the SiO2@DQD-strip was fully optimized and confirmed by using 10 positive serum samples from COVID-19 patients and 10 negative samples from patients with other respiratory diseases. The practical clinical value of the assay was further evaluated by testing 316 serum samples (114 positive and 202 negative samples). The overall detection sensitivity and specificity reached 97.37% (111/114) and 95.54% (193/202), respectively, indicating the huge potential of our proposed method for the rapid and accurate detection of SARS-CoV-2-infected persons and asymptomatic carriers.

Anaplastic lymphoma kinase tyrosine kinase inhibitor-induced hepatic failure in lung cancer patients: A study of signal mining and analysis of the FDA adverse event reporting system database.

WHAT IS KNOWN AND OBJECTIVE: Anaplastic Lymphoma Kinase Tyrosine Kinase Inhibitors (ALK TKIs) are standard first-line therapy for non-small cell lung cancer patients with ALK rearrangement. Although some cases of hepatotoxicity related to these drugs have been reported, there is still a lack of investigation on severe hepatotoxicity, such as hepatic failure, with ALK TKIs. METHODS: We evaluated ALK TKI (crizotinib, alectinib, brigatinib, ceritinib and lorlatinib)-induced hepatic failure events (AIHFEs), by using the Reporting Odds Ratio (ROR) and Bayesian Confidence Propagation Neural Network method for mining the adverse event report signals in the FDA Adverse Event Reporting System (FAERS) database from Jan 2013 to Dec 2019. RESULTS AND DISCUSSION: The AIHFEs of "Hepatic failure," "hepatitis fulminant" and "hepatic necrosis" were defined as exposure event signals caused by ALK TKIs. The RORs of "Hepatic failure" were 4.95 (2.36-10.42) in alectinib, 3.77 (1.69-8.40) in ceritinib and 2.45 (1.60-3.76) in crizotinib, respectively. The ROR of "hepatitis fulminant" was 7.86 (3.52-17.54) in crizotinib. The Information Component value of "hepatic necrosis" was 1.97 (0.15) in alectinib. In reports of exposure-event signals, the clinical outcome of eventual death was common and could occur within 3 months. In the reports of "hepatic failure," there was no significant difference in the number of reports between men and women [OR=1.86 (0.94-3.67), p = 0.09]. WHAT IS NEW AND CONCLUSIONS: By mining the adverse event report signals in the FAERS database, we found the exposure event signals of AIHFEs in ALK TKIs were "hepatic failure," "hepatitis fulminant" and "hepatic necrosis". AIHFEs were more likely to appear in the reports of ceritinib, crizotinib and alectinib.

Clinical characteristics and risk factors of severe hyponatremia in cirrhotic patients treated with terlipressin.

WHAT IS KNOWN AND OBJECTIVE: As terlipressin becomes more widely used in clinical practice, more papers had reported the correlation between hyponatremia and terlipressin treatment. This study was performed to evaluate the clinical characteristics and risk factors of severe hyponatremia in cirrhotic patients treated with terlipressin and the effects of concomitant drugs. METHODS: We conducted a retrospective evaluation of patients with cirrhosis treated with terlipressin at the gastroenterology department of Hospital between 1 January 2016 and 30 June 2018. Patients treated with terlipressin for gastrointestinal bleeding due to peptic ulcer and other non-hepatic factors were excluded. RESULTS AND DISCUSSION: After the patients received terlipressin, their serum sodium concentrations decreased from 138.2 ± 4.3 mmol/L to 129.3 ± 7.2 mmol/L. Statistically significant differences were observed with respect to sex, initial serum sodium concentration, lowest serum sodium concentration, hyponatremia duration and total drug dose. Among the patients with hyponatremia, statistically significant differences in albumin level, serum creatinine level, hyponatremia duration and total drug dose were found between the patients with severe hyponatremia and those with non-severe hyponatremia. Logistic regression analysis revealed that initial serum sodium concentration (odds ratio, 95% confidence interval: 18.475, 3.967-86.035; P = .000) was a risk factor for reduced serum concentration, and that albumin level (1.105, 1.012-1.207; P = .026), serum creatinine level (0.975, 0.952-0.997; P = .028) and hyponatremia duration (1.297, 1.064-1.583; P = .010) were risk factors of severe hyponatremia. WHAT IS NEW AND CONCLUSION: The incidence of severe hyponatremia among patients with cirrhosis who are treated with terlipressin is high. Moreover, higher initial serum sodium concentrations and increased duration of terlipressin administration are associated with a higher the incidence of severe hyponatremia. The initial albumin level is a risk factor for severe hyponatremia as is serum creatinine, although the latter is negatively correlated with the occurrence of the condition.

Linezolid and the risk of lactic acidosis: Data mining and analysis of the FDA Adverse Event Reporting System.

WHAT IS KNOWN AND OBJECTIVE: Lactic acidosis (LA) is a rare but potentially lethal side effect of linezolid (LZD). However, limited by the study population, the number of patients with LA is insufficient to summarize all the clinical characteristics and risk factors. METHODS: We evaluated the association between LZD and LA using the reporting odd ratio (ROR) for mining the adverse event report signals in the FDA Adverse Event Reporting System database from January 2013 to December 2019. RESULTS AND DISCUSSION: There were 6218 reports of LZD as the primary suspected drug or secondary suspected drug, of which 275 (4.42%) reports were of LA. The ROR of LA with the use of LZD was 39.976 (95% CI 35.365-45.189). In the age composition of patients, elderly individuals (aged ≥60 years) accounted for the higher proportion, 42.54% (n = 117). LA usually occurred two weeks after LZD administration (n = 33). LZD was the unique suspected drug, accounting for 37.45% (n = 103) of all reports of LA. The drug with the most frequent occurrence of combination with LZD was 'meropenem' and 'warfarin'. WHAT IS NEW AND CONCLUSIONS: The ROR of LA caused by LZD was very high, and the number of reports about LA caused by other antibiotics was significantly different from that of LA caused by LZD. The drug combined with LZD did not seem to affect the occurrence of LA, and the high occurrence of warfarin in the reports deserves the attention of doctors.

Embedded Model Predictive Control for a Wearable Artificial Pancreas.

While artificial pancreas (AP) systems are expected to improve the quality of life among people with type 1 diabetes mellitus (T1DM), the design of convenient systems that optimize the user experience, especially for those with active lifestyles, such as children and adolescents, still remains an open research question. In this work, we introduce an embeddable design and implementation of model predictive control (MPC) of AP systems for people with T1DM that significantly reduces the weight and on-body footprint of the AP system. The embeddable controller is based on a zone MPC that has been evaluated in multiple clinical studies. The proposed embedded zone MPC features a simpler design of the periodic safe zone in the cost function and the utilization of state-of-the-art alternating minimization algorithms for solving the convex programming problems inherent to MPC with linear models subject to convex constraints. Off-line closed-loop data generated by the FDA-accepted UVA/Padova simulator is used to select an optimization algorithm and corresponding tuning parameters. Through hardware-in-the-loop in silico results on a limited-resource Arduino Zero (Feather M0) platform, we demonstrate the potential of the proposed embedded MPC. In spite of resource limitations, our embedded zone MPC manages to achieve comparable performance of that of the full-version zone MPC implemented in a 64-bit desktop for scenarios with/without meal-disturbance compensations. Metrics for performance comparison included median percent time in the euglycemic ([70, 180] mg/dL range) of 84.3% vs. 83.1% for announced meals, with an equivalence test yielding p = 0.0013 and 66.2% vs. 66.0% for unannounced meals with p = 0.0028.

Polyparasitism of Rhabditis Axei and Enterobius Vermicularis in a Child from Beijing, China.

BACKGROUND: Rhabditis (Rhabditellae) axei is a common species in soil, which has been reported repeatedly in human urine and the digestive system. Humans exposed to sewage or mistakenly polluted sewage is the cause of larvae infecting the digestive tract or via the urethra. We reported a patient infected with Rhabditis axei and Enterobius Vermicularis. The migration of the nematodes caused true signs of hematuria, diarrhea, and high eosinophilia. METHODS: Stool and urine are collected to detect parasite eggs and genotype. Specimens are sent for polymerase chain reaction (PCR)-based species identification. Amplification of the 18S ribosomal RNA gene was performed by PCR as described [1]. RESULTS: Morphological features and PCR amplification of the 18S ribosomal RNA gene confirmed Rhabditis axei and Enterobius vermicularis as the pathogen of infection. CONCLUSIONS: Herein, we presented a case that confirmed Rhabditis axei and Enterobius vermicularis infection in humans can be associated with high eosinophilia.

[Comparison of Classifcation and Regulation of in Vitro Diagnostic Products for Clinical Pathology in China and Foreign Country].

The classification and the regulatory requirement among U.S., E.U., Japan and China were summarized and compared for the immunohistochemistry and in situ hybridization products. The results indicate that:the regulatory classifications of the related products are higher in Japan and China, than U.S.and E.U.; the classification and regulatory requirement are adjusted more flexibly in the centralized system. The difference was discussed and accordingly some suggestions and implications were given for the China's regulation.

Design of Strain-Limiting Substrate Materials for Stretchable and Flexible Electronics.

Recently developed classes of electronics for biomedical applications exploit substrates that offer low elastic modulus and high stretchability, to allow intimate, mechanically biocompatible integration with soft biological tissues. A challenge is that such substrates do not generally offer protection of the electronics from high peak strains that can occur upon large-scale deformation, thereby creating a potential for device failure. The results presented here establish a simple route to compliant substrates with strain-limiting mechanics based on approaches that complement those of recently described alternatives. Here, a thin film or mesh of a high modulus material transferred onto a prestrained compliant substrate transforms into wrinkled geometry upon release of the prestrain. The structure formed by this process offers a low elastic modulus at small strain due to the small effective stiffness of the wrinkled film or mesh; it has a high tangent modulus (e.g., >1000 times the elastic modulus) at large strain, as the wrinkles disappear and the film/mesh returns to a flat geometry. This bilinear stress-strain behavior has an extremely sharp transition point, defined by the magnitude of the prestrain. A theoretical model yields analytical expressions for the elastic and tangent moduli and the transition strain of the bilinear stress-strain relation, with quantitative correspondence to finite element analysis and experiments.

Ferromagnetic, folded electrode composite as a soft interface to the skin for long-term electrophysiological recording.

This paper introduces a class of ferromagnetic, folded, soft composite material for skin-interfaced electrodes with releasable interfaces to stretchable, wireless electronic measurement systems. These electrodes establish intimate, adhesive contacts to the skin, in dimensionally stable formats compatible with multiple days of continuous operation, with several key advantages over conventional hydrogel based alternatives. The reported studies focus on aspects ranging from ferromagnetic and mechanical behavior of the materials systems, to electrical properties associated with their skin interface, to system-level integration for advanced electrophysiological monitoring applications. The work combines experimental measurement and theoretical modeling to establish the key design considerations. These concepts have potential uses across a diverse set of skin-integrated electronic technologies.

Smoothened oligomerization/higher order clustering in lipid rafts is essential for high Hedgehog activity transduction.

The Hedgehog (Hh) signaling pathway plays evolutionarily conserved roles in controlling embryonic development and tissue homeostasis, and its dysregulation has been implicated in many human diseases including congenital disorder and cancer. The Hh pathway has a unique signal reception system that includes two membrane proteins, the receptor Patched (Ptc) and the transducer Smoothened (Smo). In the Hh signaling cascade, Smo plays a critical role in controlling transduction of Hh gradient signal from the outside into the inside of cells. Although the Smo downstream signal transduction has been intensively studied, the mechanism by which Smo on the plasma membrane is regulated has not been fully understood. As a specific membrane structure of metazoan cells, lipid rafts act as a platform to regulate signal transduction by forming a nanoscale cluster through protein-protein or protein-lipid interactions. However, it remains largely unknown whether lipid rafts are also involved in the regulation of Hh signal transduction. Here, we show that Smo extracellular domain (N terminus) and transmembrane domains form oligomers/higher order clusters in response to Hh signal. Furthermore, we identify that lipid rafts on the plasma membrane are essential for high level activity of Smo during the Hh signal transduction. Finally, our observation suggests that oligomerization/higher order clustering of Smo C-terminal cytoplasmic tail (C-tail) is essential for the transduction of high level Hh signal. Collectively, our data support that in response to Hh gradient signals, Smo transduces high level Hh signal by forming oligomers/higher order clusters in the lipid rafts of cell plasma membrane.