Exploring the application and challenges of fNIRS technology in early detection of Parkinson's disease.

Background: Parkinson's disease (PD) is a prevalent neurodegenerative disorder that significantly benefits from early diagnosis for effective disease management and intervention. Despite advancements in medical technology, there remains a critical gap in the early and non-invasive detection of PD. Current diagnostic methods are often invasive, expensive, or late in identifying the disease, leading to missed opportunities for early intervention. Objective: The goal of this study is to explore the efficiency and accuracy of combining fNIRS technology with machine learning algorithms in diagnosing early-stage PD patients and to evaluate the feasibility of this approach in clinical practice. Methods: Using an ETG-4000 type near-infrared brain function imaging instrument, data was collected from 120 PD patients and 60 healthy controls. This cross-sectional study employed a multi-channel mode to monitor cerebral blood oxygen changes. The collected data were processed using a general linear model and ß values were extracted. Subsequently, four types of machine learning models were developed for analysis: Support vector machine (SVM), K-nearest neighbors (K-NN), random forest (RF), and logistic regression (LR). Additionally, SHapley Additive exPlanations (SHAP) technology was applied to enhance model interpretability. Results: The SVM model demonstrated higher accuracy in differentiating between PD patients and control group (accuracy of 85%, f1 score of 0.85, and an area under the ROC curve of 0.95). SHAP analysis identified the four most contributory channels (CH) as CH01, CH04, CH05, and CH08. Conclusion: The model based on the SVM algorithm exhibited good diagnostic performance in the early detection of PD patients. Future early diagnosis of PD should focus on the Frontopolar Cortex (FPC) region.

Carbon nanosol promotes plant growth and broad-spectrum resistance.

Carbon nanosol (CNS) is a carbon-based nanomaterial capable of promoting plant growth while the underlying mechanism involved in this process remains unknown. This study demonstrates that CNS promotes rice seedling growth under restricted concentrations. Macroelement transporter mutants were investigated to further investigate the CNS-mediated promotion of rice seedling growth. The genetic and physiological findings revealed that nitrate transporter 1.1B (NRT1.1B) and ammonium transporter 1 (AMT1) mutants inhibited the CNS-induced growth development of rice seedlings, whereas potassium transporter (AKT1) and phosphate transporter 8 (PT8) did not exhibit any inhibitory effects. Further investigations demonstrated the inhibition of CNS-mediated growth promotion via glutamine synthetase 1;1 (gs1;1) mutants. Additionally, the administration of CNS resulted in enhanced accumulation of chlorophyll in plants, and the promotion of CNS-induced growth was inhibited by yellow-green leaf 8 (YGL8) mutants and the chlorophyll biosynthetic gene divinyl reductase (DVR) mutants. According to these findings, the CNS promotes plant growth by stimulating chlorophyll biosynthesis. Furthermore, the presence of CNS enhanced the ability of rice to withstand blast, sheath blight (ShB), and bacterial blight. The nrt1.1b, amt1, dvr, and ygl8 mutants did not exhibit a broad spectrum effect. The positive regulation of broad-spectrum resistance in rice by GS1;1 suggests the requirement of N assimilation for CNS-mediated broad-spectrum resistance. In addition, an in vitro assay demonstrated that CNS inhibits the growth of pathogens responsible for blast, ShB, and bacterial blight, namely Magnaporthe oryzae, Rhizoctonia solani AG1-IA, and Xanthomonas oryzae pv. Oryzae, respectively. CNS application may also induce broad-spectrum resistance against bacterial and fungal pathogens, indicating that in addition to its antifungal and antibacterial properties, CNS application may also stimulate N assimilation. Collectively, the results indicate that CNS may be a potential nano-therapeutic agent for improved plant growth promotion while also providing broad-spectrum resistance.

Recombination of the right cerebral cortex in patients with left side USN after stroke: fNIRS evidence from resting state.

Objective: Unilateral spatial neglect (USN) is an impaired contralesional stimulus detection, response, or action, causing functional disability. After a stroke, the right hemisphere experiences USN more noticeably, severely, and persistently than the left. However, few studies using fNIRS have been reported in cases of USN. This study aimed to confirm weaker RSFC in USN and investigate the potential inherent features in hemodynamic fluctuations that may be associated with USN. Furthermore, these features were combined into a mathematical model for more accurate classification. Methods: A total of 33 stroke patients with right-sided brain damage were chosen, of whom 12 had non-USN after stroke, and 21 had USN after stroke (the USN group). Graph theory was used to evaluate the hemodynamic signals of the brain's right cerebral cortex during rest. Furthermore, a support vector machine model was built to categorize the subjects into two groups based on the chosen network properties. Results: First, mean functional connectivity was lower in the USN group (0.745 ± 0.239) than in the non-USN group (0.843 ± 0.254) (t = -4.300, p < 0.001). Second, compared with the non-USN group, USN patients had a larger clustering coefficient (C) (t = 3.145, p < 0.001), local efficiency (LE) (t = 3.189, p < 0.001), and smaller global efficiency (GE) (t = 3.047, p < 0.001). Notably, there were differences in characteristic path length (L) and small worldness (σ) values between the two groups at certain thresholds, mainly as higher L (t = 3.074, p < 0.001) and lower small worldness (σ) values (t = 2.998, p < 0.001) in USN patients compared with non-USN patients. Finally, the classification accuracy of the SVM model based on AUC aC (t = -2.259, p = 0.031) and AUC aLE (t = -2.063, p = 0.048) was 85%, the sensitivity was 75%, and the specificity was 89%. Conclusion: The functional network architecture of the right cerebral cortex exhibits significant topological alterations in individuals with USN following stroke, and the sensitivity index based on the small-world property AUC may be utilized to identify these patients accurately.

A diagnostic model of nerve root compression localization in lower lumbar disc herniation based on random forest algorithm and surface electromyography.

Objective: This study aimed to investigate the muscle activation of patients with lumbar disc herniation (LDH) during walking by surface electromyography (SEMG) and establish a diagnostic model based on SEMG parameters using random forest (RF) algorithm for localization diagnosis of compressed nerve root in LDH patients. Methods: Fifty-eight patients with LDH and thirty healthy subjects were recruited. The SEMG of tibialis anterior (TA) and lateral gastrocnemius (LG) were collected bilaterally during walking. The peak root mean square (RMS-peak), RMS-peak time, mean power frequency (MPF), and median frequency (MF) were analyzed. A diagnostic model based on SEMG parameters using RF algorithm was established to locate compressed nerve root, and repeated reservation experiments were conducted for verification. The study evaluated the diagnostic efficiency of the model using accuracy, precision, recall rate, F1-score, Kappa value, and area under the receiver operating characteristic (ROC) curve. Results: The results showed that delayed activation of TA and decreased activation of LG were observed in the L5 group, while decreased activation of LG and earlier activation of LG were observed in the S1 group. The RF model based on eight SEMG parameters showed an average accuracy of 84%, with an area under the ROC curve of 0.93. The RMS peak time of TA was identified as the most important SEMG parameter. Conclusion: These findings suggest that the RF model can assist in the localization diagnosis of compressed nerve roots in LDH patients, and the SEMG parameters can provide further references for optimizing the diagnosis model in the future.

Added forearm weights for gait pattern normalization in patients with Parkinson's disease.

Patients with Parkinson's Disease presented gait impairment. Applying additional weights to enhancing sensory input may improve gait impairment. We assumed that gait impairment could be improved when patients walked with additional forearm weights, and the gait improvement was associated with clinical characteristic of Parkinson's Disease. Thirty patients with Parkinson's Disease and 30 age-sex matched controls were recruited. Spatiotemporal and joint kinematics parameters were evaluated by a three-dimensional motion capture system in normal walking and walking with sandbags, respectively. The comparisons of spatiotemporal parameters were analyzed using t-test or nonparametric tests. The comparison of joint kinematic data was analyzed using statistical parametric mapping. The correlation between motor symptom and gait parameters changes was analyzed using Pearson's correlation analysis. During normal walking, patients showed deteriorated gait compared with controls. After applying weights to forearms patients increased cadence (p = 0.004), speed (p < 0.001) and step length (p = 0.048), and decreased stride time (p = 0.003). The hip angles significantly increased during 5%-23% and 87%-100% of gait cycle, while knee angles during 9%-25% and 88%-98% of the gait cycle, and ankle angles in 92%-100% of gait cycle. The gait parameters of patients with forearm-loading showed no significant difference compared with healthy subjects walking normally. The change of gait parameters correlated positively with the axial and tremor severity while correlated negatively with the rigidity sub-score. Patients with tremor dominant subtype also showed greater improvement of speed and step time compared with patients with postural instability/gait difficulty subtype. Applying added weights bilaterally to the forearms of patients can normalize gait patterns. Notably, patients with higher scores on axial and tremor and lower rigidity scores gained more benefits.

Meta-analysis of repetitive transcranial magnetic stimulation combined with task-oriented training on upper limb function in stroke patients with hemiplegia.

BACKGROUND: To evaluate the effect of repetitive transcranial magnetic stimulation (rTMS) combined with task-oriented training (TOT) on upper limb function in stroke patients with hemiplegia. METHODS: A systematic review and meta-analysis was performed using PRISMA guidelines. Computer searches of PubMed, Cochrane Library, Embase, Web of science, China Knowledge Network, Wanfang, and Wipu databases were conducted from the time of database creation to October 27, 2022. Clinical trials meeting the inclusion criteria were screened, with rTMS combined with TOT in the test group and other therapies in the control group. Literature screening and data extraction were performed independently by 2 investigators, and meta-analysis was performed using Stata software after quality evaluation of the literature. RESULTS: Meta-analysis results showed that repeated transcranial magnetic stimulation combined with TOT was more effective in box and block test (I2 = 0%, P = .820, 95% confidence interval [CI] [-0.20, 0.88]), Fugl-Meyer Assessment (I2 = 0%, P = .569, 95% CI [0.88, 1.26]), and modified Barthel Index (I2 = 39.9%, P = .189, 95% CI [0.45, 1.03]) were not significantly different from controls, and the efficacy was significantly better in motor evoked potentials (I2 = 86.5%, P < .001, 95% CI [-1.38, -0.83]). CONCLUSIONS: Data analysis clarified the efficacy of rTMS) combined with TOT on upper extremity motor function disorders after stroke, but there was no significant difference between the efficacy in box and block test, Fugl-Meyer Assessment, and modified Barthel Index and the efficacy in motor evoked potentials between rTMS and the control group, suggesting that the neuro plasticizing effect of rTMS may translate into functional improvement by promoting neuro electrical signaling.

Effects of different types of visual music on the prefrontal hemodynamics of children with autism spectrum disorder based on functional near-infrared spectroscopy.

Background: Music therapy has been shown to improve communication in children with autism spectrum disorders (ASD), but little is known about how different types of music and images affect hemodynamic changes in the frontal lobe of the brain in children with ASD. This study aims to use functional near infrared spectroscopy (fNIRS) to explore the effects of different types of visual music on different brain regions of oxyhemoglobin (HbO) in the prefrontal lobe of children with ASD and children with typical development (TD), so as to provide evidence for better application of different types of visual music in the treatment of children with ASD. Methods: Seven children with ASD and nine matched children with TD were selected. Changes in HbO in their prefrontal lobes were determined by fNIRS after resting states and 12 different types of visual music tasks. Results: (I) Intra-group comparison: the influence of different types of light and music on ∆HbO in ROI (zone F) of ASD children is different, the activation degree shows that red light & positive music is less than green light & neutral music, red light & positive music is less than blue light & negative music, and there is no difference between green light & neutral music and blue light & negative music. (II) Comparison between groups: Visual musical tasks 1, 2, 3, 4, and 8 positively activated HbO in the prefrontal B and E regions of the brain in children with ASD and negatively activated HbO in TD children. Visual musical tasks 5, 9, 10, and 12 negatively activated HbO in the prefrontal F regions of the brain in children with ASD and positively activated HbO in TD children. Conclusions: When the two groups of children received the same visual music task, the changes of HbO in different regions of the prefrontal lobe were different; The effects of different types of visual music on the frontal lobe of the brain in children with ASD are inconsistent.

Temperature-Responsive, Femtosecond Laser-Ablated Ceramic Surfaces with Switchable Wettability for On-Demand Droplet Transfer.

Reversible wettability transition has drawn substantial interest because of its importance for widespread applications, but facile realization of such transition on ceramic surfaces, which is promising for achieving on-demand droplet manipulation under harsh conditions, remains rare. Herein, superhydrophobic zirconia ceramic surfaces that can reversibly and repeatedly transit between superhydrophobicity and superhydrophilicity after alternate heating treatments have been fabricated using a femtosecond laser. The underlying mechanisms of the complex wettability transitions on the laser-ablated zirconia surfaces are elucidated. Hydrophilic polished zirconia surfaces immediately become superhydrophilic after laser ablation, which is mainly attributed to the amplification effect of the laser-induced micro/nanostructures and has no obvious relationship with oxygen vacancies. The obtained superhydrophilic surfaces are transformed into superhydrophobic surfaces because of rapid adsorption of airborne organic compounds driven mainly by physical interaction under heating conditions. With the alternate removal and re-adsorption of organic compounds, reversible and repeatable wettability transition between superhydrophobicity and superhydrophilicity happens on the zirconia surfaces. The laser-induced micro/nanostructures also contribute to the wettability transitions. Furthermore, utilizing the superhydrophobic zirconia surfaces with switchable wettability, on-demand transfer of strong acid droplet in air and oil droplet under strong acid solution has been achieved. This work will inspire the environmentally friendly fabrication of switchable superhydrophobic ceramic surfaces and their multifunctional applications under harsh conditions.

The Validity and Reliability of a New Intelligent Three-Dimensional Gait Analysis System in Healthy Subjects and Patients with Post-Stroke.

Odonate is a new, intelligent three-dimensional gait analysis system based on binocular depth cameras and neural networks, but its accuracy has not been validated. Twenty-six healthy subjects and sixteen patients with post-stroke were recruited to investigate the validity and reliability of Odonate for gait analysis and examine its ability to discriminate abnormal gait patterns. The repeatability tests of different raters and different days showed great consistency. Compared with the results measured by Vicon, gait velocity, cadence, step length, cycle time, and sagittal hip and knee joint angles measured by Odonate showed high consistency, while the consistency of the gait phase division and the sagittal ankle joint angle was slightly lower. In addition, the stages with statistical differences between healthy subjects and patients during a gait cycle measured by the two systems were consistent. In conclusion, Odonate has excellent inter/intra-rater reliability, and has strong validity in measuring some spatiotemporal parameters and the sagittal joint angles, except the gait phase division and the ankle joint angle. Odonate is comparable to Vicon in its ability to identify abnormal gait patterns in patients with post-stroke. Therefore, Odonate has the potential to provide accessible and objective measurements for clinical gait assessment.

The efficacy of 5 rehabilitation treatments after anterior cruciate ligament reconstruction: A network meta-analysis.

BACKGROUND: The efficacy of traditional rehabilitation, proprioceptive training, and neuromuscular training after anterior cruciate ligament (ACL) reconstruction is also controversial. In order to help medical staff better choose the rehabilitation treatment plan after ACL reconstruction, we conducted this network meta-analysis. METHODS: Chinese and English databases such as Wanfang, Weipu, China Zhiwang, and PubMed, Cochrane Library, Embase were retrieved. We collected clinical controlled trial papers on traditional rehabilitation therapy, proprioceptive training and neuromuscular training after ACL reconstruction for meta-analysis. RESULTS: In this meta-analysis, 12 studies were included, including 486 patients who received rehabilitation treatment after ACL reconstruction. Based on network meta-analysis, it was found that 4 groups of direct comparison and 6 groups of indirect comparison were formed for 5 rehabilitation treatment schemes after ACL reconstruction. The curative effect of traditional rehabilitation training combined with proprioception training is better than that of traditional rehabilitation training (mean difference value of traditional rehabilitation training combined with proprioception training vs traditional rehabilitation training was 8.00, 95% confidence interval: 2.61,13.39). The efficacy of proprioceptive training is better than that of traditional rehabilitation training (mean difference value of proprioceptive training vs traditional rehabilitation training is 11.01, 95% confidence interval: 0.62,21.39). There was no statistical significance between the other rehabilitation trainings. According to the surface under cumulative ranking curve, the therapeutic effects of the 5 rehabilitation treatment programs after ACL reconstruction were ranked as follows: proprioceptive training (72%) > traditional rehabilitation training combined with neuromuscular training (70.8%) > traditional rehabilitation training combined with proprioception training (57.1%) > neuromuscular training (45.5%) > traditional rehabilitation training (4.6%). No publication bias was found in the funnel plot. CONCLUSION: Combined with the results of meta-analysis and surface under cumulative ranking efficacy sequence diagram, it can be seen that traditional rehabilitation training combined with proprioceptive training and traditional rehabilitation training combined with neuromuscular training have significant efficacy. Due to the limitations of this study, the conclusions of this network meta-analysis still need to be further confirmed by a large sample size and well-designed randomized controlled trials.

Multistimuli-Responsive Microstructured Superamphiphobic Surfaces with Large-Range, Reversible Switchable Wettability for Oil.

The switchable wettability is essential for widespread applications in droplet manipulation, rewritable liquid patterning, fluid carrying, and so forth. However, it remains difficult to achieve the multistimuli-responsive, large-range, and reversible wetting switching especially for liquids with low surface tensions through surface topographical management. Here, we apply a simple and effective template-free self-assembly strategy to fabricate microstructured superamphiphobic surfaces that can reversibly switch the wetting performance for oil by transforming the surface morphology in response to multiple stimuli of magnetic fields and mechanical strains. Notably, the noticeably different wetting switching of oil triggered by different stimuli is demonstrated. The contact angles of hexadecane droplets on the as-prepared surfaces can be reversibly switched between 150 ± 1° and 38 ± 2° in response to mechanical strains. Furthermore, the underlying mechanism of wetting switching has been further elucidated using mathematical models. Interestingly, these switchable surfaces dramatically demonstrate the ability to transport oil droplets, without requiring lubricating liquid films. This work not only achieves the large-range and reversible wetting switching for oil but also opens new avenues for fabricating tunable superamphiphobic surfaces with transformable mushroom-like microstructures that can be easily extended to microstructure-dependent friction or adhesion control and used in other fields.

Acetylsalicylic acid treatment reduce Fusarium rot development and neosolaniol accumulation in muskmelon fruit.

Fusarium rot of muskmelon is a common and frequently-occurring postharvest disease, which leads to quality deterioration and neosolaniol (NEO) contamination. New strategies to control postharvest decay and reduce NEO contamination are of paramount importance. The effects of acetylsalicylic acid (ASA) treatment on the growth of Fusarium sulphureum in vitro, and Fusarium rot development and NEO accumulation in fruits inoculated with F. sulphureum in vivo were investigated. The results showed that ASA inhibited the growth of F. sulphureum, evident morphological and major cellular changes were observed under the microscope. In vivo testing showed that 3.2 mg/mL ASA significantly suppressed Fusarium rot development and NEO accumulation after 6 and 8 d of pathogen inoculation. Meanwhile, Tri gene expressions involved in NEO biosynthesis were down-regulated after treatment. Taken together, ASA treatment not only reduced Fusarium rot development by inhibiting the growth of F. sulphureum, but decreased NEO accumulation by suppressing NEO biosynthesis pathway.

Influence of the Carrier Fluid Viscosity on the Rotational and Oscillatory Rheological Properties of Ferrofluids.

This work mainly presents a comprehensive experimental study on the magnetorheological behavior of ferrofluids with carrier fluids of different viscosities. Three lubrication oil based ferrofluids of different viscosities and similar saturation magnetization values were prepared and characterized. Static and dynamic rheological tests of the three ferrofluids were performed using an advanced rotational rheometer with a magnetic field generating module. According to the experimental results, the magneto viscous effect, yield stress and storage modulus increase with the viscosity of carrier fluid, indicating that the structures of ferrrofluids tend to be larger and more stable in a carrier fluid with larger viscosity. The emergence and growth of "crossover" region with the increase in carrier fluid viscosity was observed using the strain-rate frequency superposition method, which were explained according to the microscopic mechanism of magnetorheology. These findings contribute to a better understanding of the microscopic mechanism of magnetorheology and provide guidance for practical applications.

One-step fabrication of robust superhydrophobic and superoleophilic surfaces with self-cleaning and oil/water separation function.

Superhydrophobic surfaces have great potential for application in self-cleaning and oil/water separation. However, the large-scale practical applications of superhydrophobic coating surfaces are impeded by many factors, such as complicated fabrication processes, the use of fluorinated reagents and noxious organic solvents and poor mechanical stability. Herein, we describe the successful preparation of a fluorine-free multifunctional coating without noxious organic solvents that was brushed, dipped or sprayed onto glass slides and stainless-steel meshes as substrates. The obtained multifunctional superhydrophobic and superoleophilic surfaces (MSHOs) demonstrated self-cleaning abilities even when contaminated with or immersed in oil. The superhydrophobic surfaces were robust and maintained their water repellency after being scratched with a knife or abraded with sandpaper for 50 cycles. In addition, stainless-steel meshes sprayed with the coating quickly separated various oil/water mixtures with a high separation efficiency (>93%). Furthermore, the coated mesh maintained a high separation efficiency above 95% over 20 cycles of separation. This simple and effective strategy will inspire the large-scale fabrication of multifunctional surfaces for practical applications in self-cleaning and oil/water separation.

A process optimization study on ultrasonic extraction of paclitaxel from Taxus cuspidata.

This study aimed to improve the extraction rate of paclitaxel from Taxus cuspidata in order to determine the most effective combination of ultrasonic extraction and thin-layer chromatography-ultraviolet (TLC-UV) rapid separation method. The study was performed using the Box-Behnken test design to conduct single-factor experiments using ultrasonic extraction of paclitaxel from Taxus cuspidata. The study showed ethanol to be the best extraction solvent. When mixed with dichloromethane (1:1), the ratio of material to liquid was 1:50 when using an ultrasonic time of 1 hr at a power of 200 W. The correction coefficient K for the separation and detection of paclitaxel using the TLC-UV spectrophotometric method was 0.009152. Multifactor experiments determined the effect of the rate of liquid to material (X1), ultrasonic time (X2), and ultrasonic power (X3) on extraction using extraction volume as the dependent variable. Response surface analysis allowed a regression equation to be obtained, with the optimal conditions for extraction when the rate of liquid to material was 53.23 mL/g as an ultrasonic time of 1.11 hr and an ultrasonic power of 207.88 W. Using these parameters, the average amount of extracted paclitaxel was about 130.576 µg/g, which was significantly better than for other extraction methods.

Three-dimensional virtual surgery models for percutaneous coronary intervention (PCI) optimization strategies.

Percutaneous coronary intervention (PCI), especially coronary stent implantation, has been shown to be an effective treatment for coronary artery disease. However, in-stent restenosis is one of the longstanding unsolvable problems following PCI. Although stents implanted inside narrowed vessels recover normal flux of blood flows, they instantaneously change the wall shear stress (WSS) distribution on the vessel surface. Improper stent implantation positions bring high possibilities of restenosis as it enlarges the low WSS regions and subsequently stimulates more epithelial cell outgrowth on vessel walls. To optimize the stent position for lowering the risk of restenosis, we successfully established a digital three-dimensional (3-D) model based on a real clinical coronary artery and analysed the optimal stenting strategies by computational simulation. Via microfabrication and 3-D printing technology, the digital model was also converted into in vitro microfluidic models with 3-D micro channels. Simultaneously, physicians placed real stents inside them; i.e., they performed "virtual surgeries". The hydrodynamic experimental results showed that the microfluidic models highly inosculated the simulations. Therefore, our study not only demonstrated that the half-cross stenting strategy could maximally reduce restenosis risks but also indicated that 3-D printing combined with clinical image reconstruction is a promising method for future angiocardiopathy research.

Effects of abnormal savda munzip on the proliferation activity and migration ability of fibroblasts derived from hypertrophic scar in vitro.

Background. To explore the effect of ASMq on proliferation and migration ability of the fibroblast derived from HS of donor (HSFbs) in vitro. Methods. The HSFbs were cultured from tissue specimens and passaged to the 3~4 generation, which were treated with the different concentrations of ASMq and 5-Fu from 1 to 11 days. The difference of HSFbs proliferation activity was analyzed by the CCK-8 method. The HSFbs migration ability in ASMq (0.4 mg/mL) was analyzed by the Cell Scratch method. Results. Transmission electron microscope result shows ASMq concentration significantly increases and fibroblast cell structure markedly change in the experimental group. The proliferation activity of the HSFbs was obviously weakened in ASMq groups than those of the group A (P < 0.05) at seven days. The group C (0.4 mg/mL) is better suitable than other three ASMq treatment groups. Cell Migration Assay shows that the migration ability HSFbs was significantly reduced in ASMq (0.4 mg/mL) treatment group compared with those of blank control group at both 24 h and 48 h (P < 0.05). Conclusions. These results suggest that ASMq effectively restrains the proliferation and migration ability of the HTSFbs in vitro, which can be one of the mechanisms for the prevention and treatment of HS.

Preliminary study of the effect of abnormal savda munziq on TGF-ß1 and Smad7 expression in hypertrophic scar fibroblasts.

BACKGROUND: To study the effect of abnormal savda munziq (ASMq) on TGF-ß1 and Smad7 expression in hypertrophic scar fibroblasts (HSFs) and to preliminarily assess the function of abnormal savda munziq in hypertrophic scar formation at the molecular biology level. METHODS: HSFs were cultured in vitro. RT-PCR and Western-blot were used to investigate the influence of 48-h treatment with ASMq at different concentrations (0 mg/mL, 0.1 mg/mL, 0.4 mg/mL, and 0.7 mg/mL) on TGF-ß1 and Smad7 mRNA and protein expression levels. RESULTS: After 48-h treatment with ASMq, the expression of TGF-ß1 mRNA and protein gradually decreased in HSFs as the concentration increased. In contrary, Smad7 mRNA and protein expression were positively correlated with ASMq concentration. CONCLUSIONS: ASMq reduces TGF-ß1, increases Smad7 mRNA and protein expression through regulating TGFß-1/Smad signaling pathway, inhibiting HSFs proliferation and reducing extracellular collagen deposition.

Effect of Abnormal Savda Munziq on hypertrophic scar formation in a rabbit ear model.

OBJECTIVE: To investigate whether administrating Abnormal Savda Munziq (ASMq), a traditional Uighur herbal preparation used for the prevention or treatment of diseases, affects hypertrophic scar (HTS) formation by using an established rabbit ear model. METHODS: The HTS rabbit model was created by circular fullthickness skin excisions on both ears of rabbits. Twenty rabbits were randomized into four groups, with 5 rabbits and 60 wounds in each group. Group A was the control group, treated with normal saline daily. Groups B, C, and D were the treatment groups at three different doses of ASMq (400, 800, and 1200 mg/kg body weight, respectively, daily, by gastrogavage). Twenty wounds were randomly chosen from each group on the 40th day after treatment and specimen were examined. Scar elevation index (SEI) was analyzed with histological assessment, and ultrastructure analysis was analyzed with a transmission electron microscopy. RESULTS: Groups B, C, and D demonstrated significant reductions in SEI as compared with the control group at 35.9% (P=0.0212), 48.2% (P=0.0108), and 52.7% (P=0.0103), respectively in a dose-response manner. SEI was lowered in Group D compared with Group B with a significant difference (P=0.015). However, there were no significant differences between Groups B and C, or between Groups C and D. Histological analysis showed that highdose ASMq (1200 mg/kg) could enhance the softening of HTS of rabbit ears and increase the compliance as shown in general. Ultrastructure analysis showed that with increased ASMq dose, the fibroblasts, pro-collagen, collagen, endoplasmic reticulum and ribosomes were reduced gradually. CONCLUSIONS: Orally administered ASMq significantly reduces the severity of HTS in the rabbit ear model. The findings of this study may have clinical implications on the management of human HTS.

High performance liquid chromatographic method for the determination of cinepazide maleate and its application to a pharmacokinetic study in rats.

A simple and reliable high performance liquid chromatographic (HPLC) method has been developed and validated to quantify cinepazide maleate, a calcium blocker, in rat plasma. Cinepazide maleate and Tinidazole (internal standard) have been extracted by a simple liquid-liquid extraction before injection into chromatographic system. Chromatographic separation was achieved on a reversed phase C18 column with a mobile phase consisted of a water mixture of 10mM potassium dihydrogen phosphate (pH=4.5):methanol (40:60, v/v), pumped at flow rate of 1.0mL/min, and detected at 303nm. The method exhibited a linear range of 0.12-120µg/mL in blank rat plasma, with the lower detection limit of 0.06µg/mL. The method was statistically validated for linearity, accuracy, precision, selectivity and stability following FDA guidelines. The intra- and inter-assay coefficients of variation did not exceed ±15% from the nominal concentration. The accuracy of cinepazide maleate was within ±15% of the theoretical value. The assay has been applied successfully in a pharmacokinetic study of cinepazide maleate after a single intravenous at three doses in rat. And cinepazide maleate injection can improve the bioavailability of cinepazide maleate greatly, and has a dose-dependence profile in rats.