An alkali-extracted neutral heteropolysaccharide from Phellinus nigricans used as an immunopotentiator in immunosuppressed mice by activating macrophages.

A neutral heteropolysaccharide (PNANb) was isolated with alkali (0.1 M NaOH) from mycelia of Phellinus nigricans, and the structure, immunostimulating activity and some of the underlying molecular mechanisms of action of PNANb were explored in the current study. PNANb (14.95 kDa) predominantly consisted of Gal, Glc, and Man with minor Fuc. GC-MS and NMR analyses indicated that the backbone of PNANb was mainly composed of 6-α-Galp, 2,6-α-Galp with minor 3,6-ß-Glcp, which was substituted with complex side chains at C-2 of 2,6-α-Galp and C-3 of 3,6-ß-Glcp. Notably, PNANb (50 or 100 mg/kg) possessed immunoprotective effects in cyclophosphamide (Cy)-induced immunosuppressed C57BL/6 mice, which was supported by evidence including the enhancement of spleen and thymus indices, levels of serum immunoglobulins (IgG, IgM) and cytokines (IFN-γ, IL-2, IL-4, IL-10), and macrophage activity. However, the immunostimulation effects of PNANb were decreased when macrophages were depleted, underscoring the essential role of macrophages in the beneficial effects of PNANb in Cy-induced immunosuppressed mice. Further investigations in vitro indicated that PNANb activated macrophages through MAPK/NF-κB signaling pathways mediated by Toll-like receptor 4. Therefore, PNANb can serve as a prospective immunopotentiator in immunosuppression.

Effects of Medium Additives on the Mycelial Growth and Polysaccharide Biosynthesis in Submerged Culture of Bjerkandera fumosa.

Medium additives have been shown to affect the synthesis of active products in fungi. This study investigated the effects of corn stalk, poplar sawdust, Tween-80, and oleic acid on mycelial biomass and physicochemical properties, as well as the bioactivity of polysaccharides, including exopolysaccharides (EPS) and intracellular polysaccharides (IPS), in the submerged culture of Bjerkandera fumosa. Results showed that the addition of corn stalk or poplar sawdust increased the production of EPS but decreased the production of IPS; Tween-80 had less effect on the production of EPS and IPS; and oleic acid stimulated polysaccharide production significantly. Polysaccharide property analysis showed that the addition of corn stalk or poplar sawdust promoted the production of high-molecular-weight components in polysaccharides and changed the monosaccharide composition of polysaccharides, as well as increased the mannose, glucuronic acid, and xylose contents of IPS. Tween-80 and oleic acid also changed the molecular weight distribution of polysaccharides but only slightly affected the composition of monosaccharides. The bioactivity assay indicated that the polysaccharides obtained by adding corn stalk possessed high hydroxyl radical scavenging and antitumor activities. The effect of poplar sawdust was slightly weaker than that of corn stalk. EPS and IPS obtained from a culture with Tween-80 and oleic acid possessed low antioxidant activity. Moreover, their antitumor activity was improved and lost, respectively. The results obtained in this work are useful for improving the understanding of the optimization and regulation of bioactive polysaccharide production in the submerged culture of B. fumosa.

Irradiation effects on characteristics and ethanol fermentation of maize starch.

Maize starch was irradiated by a Co60 irradiator with different doses. The morphology and physicochemical properties of native and irradiated starches were investigated. Scanning electron microscopy showed that the shape and size of starch granules did not change after irradiation. However, the irradiated starch granules were easily destroyed by dissolution. Irradiation also caused the change of starch color, the decrease in the pH value, light transmittance, stability index, degree of polymerization, total sugar content, and the increase in the swelling index and the reducing sugar content. In this study, irradiated maize starch was also used as material for ethanol fermentation to investigate its potential as a pretreatment method. Results showed that the ethanol yield of cooked and raw starch fermentation using irradiated starch increased by 20.41 % and 5.18 %, respectively, and the ethanol concentration increased by 3 % and 2 %. This finding indicated that irradiation effectively improved the utilization rate of maize starch, making it an effective pretreatment method for ethanol fermentation.

Updated Understanding of the Glial-Vascular Unit in Central Nervous System Disorders / 神经科学通报·英文版

The concept of the glial-vascular unit (GVU) was raised recently to emphasize the close associations between brain cells and cerebral vessels, and their coordinated reactions to diverse neurological insults from a "glio-centric" view. GVU is a multicellular structure composed of glial cells, perivascular cells, and perivascular space. Each component is closely linked, collectively forming the GVU. The central roles of glial and perivascular cells and their multi-level interconnections in the GVU under normal conditions and in central nervous system (CNS) disorders have not been elucidated in detail. Here, we comprehensively review the intensive interactions between glial cells and perivascular cells in the niche of perivascular space, which take part in the modulation of cerebral blood flow and angiogenesis, formation of the blood-brain barrier, and clearance of neurotoxic wastes. Next, we discuss dysfunctions of the GVU in various neurological diseases, including ischemic stroke, spinal cord injury, Alzheimer's disease, and major depression disorder. In addition, we highlight the possible therapies targeting the GVU, which may have potential clinical applications.

Digoxin Ameliorates Glymphatic Transport and Cognitive Impairment in a Mouse Model of Chronic Cerebral Hypoperfusion / 神经科学通报·英文版

The glymphatic system plays a pivotal role in maintaining cerebral homeostasis. Chronic cerebral hypoperfusion, arising from small vessel disease or carotid stenosis, results in cerebrometabolic disturbances ultimately manifesting in white matter injury and cognitive dysfunction. However, whether the glymphatic system serves as a potential therapeutic target for white matter injury and cognitive decline during hypoperfusion remains unknown. Here, we established a mouse model of chronic cerebral hypoperfusion via bilateral common carotid artery stenosis. We found that the hypoperfusion model was associated with significant white matter injury and initial cognitive impairment in conjunction with impaired glymphatic system function. The glymphatic dysfunction was associated with altered cerebral perfusion and loss of aquaporin 4 polarization. Treatment of digoxin rescued changes in glymphatic transport, white matter structure, and cognitive function. Suppression of glymphatic functions by treatment with the AQP4 inhibitor TGN-020 abolished this protective effect of digoxin from hypoperfusion injury. Our research yields new insight into the relationship between hemodynamics, glymphatic transport, white matter injury, and cognitive changes after chronic cerebral hypoperfusion.

[Application and progress of data mining in study of compatibility law of traditional Chinese medicine].

Data mining is an important method to obtain the key information from a large amount of data, and it is widely applied in the research on the modernization of traditional Chinese medicine(TCM). The compatibility law of herbs is a key issue in the research of TCM prescriptions. This reflects the flexibility and effectiveness of TCM prescriptions, and it is also a crucial link to the development of TCM modernization. Therefore, it is the core purpose of the research on TCM prescriptions to find the compatibility law of herbs and clarify the scientific connotation. Data mining, as an effective method and an important approach, has formed a standardized system in the research of compatibility law of herbs, which can reveal the relationship between different Chinese herbs and summarize the internal rules in compatibility. Two hundred and twenty two effective papers were sorted out and categorized in this article. The results showed that data mining was mainly applied in finding the core Chinese herb pairs, summarizing the utility and attributes of TCM prescriptions, revealing the relationship between prescriptions, Chinese herbs and syndromes, finding the optimal dose of Chinese herbs, and producing the new prescriptions. The problems of data mining in research of herbs compatibility rules were summarized, and its development and trend in current researches were discussed in this article to provide useful references for the in-depth study of data mining in the compatibility law of Chinese herbs.

Application of an extreme learning machine network with particle swarm optimization in syndrome classification of primary liver cancer.

OBJECTIVE: By optimizing the extreme learning machine network with particle swarm optimization, we established a syndrome classification and prediction model for primary liver cancer (PLC), classified and predicted the syndrome diagnosis of medical record data for PLC and compared and analyzed the prediction results with different algorithms and the clinical diagnosis results. This paper provides modern technical support for clinical diagnosis and treatment, and improves the objectivity, accuracy and rigor of the classification of traditional Chinese medicine (TCM) syndromes. METHODS: From three top-level TCM hospitals in Nanchang, 10,602 electronic medical records from patients with PLC were collected, dating from January 2009 to May 2020. We removed the electronic medical records of 542 cases of syndromes and adopted the cross-validation method in the remaining 10,060 electronic medical records, which were randomly divided into a training set and a test set. Based on fuzzy mathematics theory, we quantified the syndrome-related factors of TCM symptoms and signs, and information from the TCM four diagnostic methods. Next, using an extreme learning machine network with particle swarm optimization, we constructed a neural network syndrome classification and prediction model that used "TCM symptoms + signs + tongue diagnosis information + pulse diagnosis information" as input, and PLC syndrome as output. This approach was used to mine the nonlinear relationship between clinical data in electronic medical records and different syndrome types. The accuracy rate of classification was used to compare this model to other machine learning classification models. RESULTS: The classification accuracy rate of the model developed here was 86.26%. The classification accuracy rates of models using support vector machine and Bayesian networks were 82.79% and 85.84%, respectively. The classification accuracy rates of the models for all syndromes in this paper were between 82.15% and 93.82%. CONCLUSION: Compared with the case of data processed using traditional binary inputs, the experiment shows that the medical record data processed by fuzzy mathematics was more accurate, and closer to clinical findings. In addition, the model developed here was more refined, more accurate, and quicker than other classification models. This model provides reliable diagnosis for clinical treatment of PLC and a method to study of the rules of syndrome differentiation and treatment in TCM.

Meta-analysis of Oral Chinese Medicine for Adjuvant Treatment of Primary Hepatic Carcinoma and Screening of Basic Chinese Herbs / 中国实验方剂学杂志

Objective:To systematically evaluate the efficacy of oral Chinese herbal prescriptions combined with transcatheter arterial chemoembolization （TACE） against primary hepatic carcinoma （PHC） and screen the basic Chinese herbs，in order to provide certain reference for clinical medication. Method:The randomized controlled trials concerning the treatment of PHC with oral Chinese herbal prescriptions plus TACE were retrieved from CBM，China National Knowledge Infrastructure （CNKI），Chongqing Weipu Database for Chinese Technical Periodicals （VIP），and Wanfang Data Knowledge Service Platform.The quality of the included trials was evaluated by Cochrane handbook，and the Meta-analysis was performed using RevMan 5.3.The enumeration data were expressed by odds ratio （OR），the measurement data by mean difference （MD） or standardized mean difference （SMD），and the effect size by 95% confidence interval （CI）.The data of oral Chinese herbal prescriptions involved in trials were sorted out and subjected to association rule analysis and frequency analysis based on the Traditional Chinese Medicine Inheritance Support System （TCMISS），for exploring the basic Chinese herbs and their dosages against PHC. Result:A total of 75 randomized controlled trials were included，involving 7 406 cases. As revealed by the Meta-analysis，oral Chinese herbal prescriptions combined with TACE was significantly better than TACE alone in improving the short-term curative effect ［OR=2.05，95%CI（1.83，2.29）］，decreasing alpha fetoprotein （AFP） ［MD=-59.02，95%CI（-79.03，-39.01）］，ameliorating liver function ［SMD=-1.23，95%CI（-1.58，-0.88）］，boosting immunity ［SMD=1.08，95%CI（0.84，1.32）］，adjusting Karnofsky Performance Status （KPS） scale score ［OR=2.7，95%CI（1.11，11.02）］，elevating survival rate ［OR=2.31，95%CI（1.96，2.71）］，and reducing adverse reactions ［OR=0.38，95%CI（0.34，0.43）］.Data mining results showed that the basic Chinese herbs against PHC were Bupleuri Radix，Paeoniae Alba Radix，Atractylodis Macrocephalae Rhizoma，Poria，and Glycyrrhizae Radix et Rhizoma，with their clinical dosages listed as follows：6-15 g for Bupleuri Radix，10-15 g for Paeoniae Alba Radix，9-15 g for Atractylodis Macrocephalae Rhizoma，10-15 g for Poria，and 3-10 g for Glycyrrhizae Radix et Rhizoma. Conclusion:The oral Chinese herbal prescriptions combined with TACE produce better effects in treatment of PHC as compared with TACE alone.These five basic Chinese herbs have anti-cancer effect，and their dosages are within the ranges stipulated in 2020 edition of <italic>Chinese Pharmacopoeia.</italic>This Meta-analysis has provided certain reference for clinical medication.

Application of an extreme learning machine network with particle swarm optimization in syndrome classification of primary liver cancer / 中西医结合学报

OBJECTIVE@#By optimizing the extreme learning machine network with particle swarm optimization, we established a syndrome classification and prediction model for primary liver cancer (PLC), classified and predicted the syndrome diagnosis of medical record data for PLC and compared and analyzed the prediction results with different algorithms and the clinical diagnosis results. This paper provides modern technical support for clinical diagnosis and treatment, and improves the objectivity, accuracy and rigor of the classification of traditional Chinese medicine (TCM) syndromes.@*METHODS@#From three top-level TCM hospitals in Nanchang, 10,602 electronic medical records from patients with PLC were collected, dating from January 2009 to May 2020. We removed the electronic medical records of 542 cases of syndromes and adopted the cross-validation method in the remaining 10,060 electronic medical records, which were randomly divided into a training set and a test set. Based on fuzzy mathematics theory, we quantified the syndrome-related factors of TCM symptoms and signs, and information from the TCM four diagnostic methods. Next, using an extreme learning machine network with particle swarm optimization, we constructed a neural network syndrome classification and prediction model that used "TCM symptoms + signs + tongue diagnosis information + pulse diagnosis information" as input, and PLC syndrome as output. This approach was used to mine the nonlinear relationship between clinical data in electronic medical records and different syndrome types. The accuracy rate of classification was used to compare this model to other machine learning classification models.@*RESULTS@#The classification accuracy rate of the model developed here was 86.26%. The classification accuracy rates of models using support vector machine and Bayesian networks were 82.79% and 85.84%, respectively. The classification accuracy rates of the models for all syndromes in this paper were between 82.15% and 93.82%.@*CONCLUSION@#Compared with the case of data processed using traditional binary inputs, the experiment shows that the medical record data processed by fuzzy mathematics was more accurate, and closer to clinical findings. In addition, the model developed here was more refined, more accurate, and quicker than other classification models. This model provides reliable diagnosis for clinical treatment of PLC and a method to study of the rules of syndrome differentiation and treatment in TCM.

Application and progress of data mining in study of compatibility law of traditional Chinese medicine / 中国中药杂志

Data mining is an important method to obtain the key information from a large amount of data, and it is widely applied in the research on the modernization of traditional Chinese medicine(TCM). The compatibility law of herbs is a key issue in the research of TCM prescriptions. This reflects the flexibility and effectiveness of TCM prescriptions, and it is also a crucial link to the development of TCM modernization. Therefore, it is the core purpose of the research on TCM prescriptions to find the compatibility law of herbs and clarify the scientific connotation. Data mining, as an effective method and an important approach, has formed a standardized system in the research of compatibility law of herbs, which can reveal the relationship between different Chinese herbs and summarize the internal rules in compatibility. Two hundred and twenty two effective papers were sorted out and categorized in this article. The results showed that data mining was mainly applied in finding the core Chinese herb pairs, summarizing the utility and attributes of TCM prescriptions, revealing the relationship between prescriptions, Chinese herbs and syndromes, finding the optimal dose of Chinese herbs, and producing the new prescriptions. The problems of data mining in research of herbs compatibility rules were summarized, and its development and trend in current researches were discussed in this article to provide useful references for the in-depth study of data mining in the compatibility law of Chinese herbs.

Function of vascular endothelial cells in retinal budding angiogenesis and its regulatory mechanism / 国际眼科杂志(Guoji Yanke Zazhi)

@#In the progress of retinal angiogenesis, sprouting angiogenesis plays an important role in retinal normal development and neovascular diseases. The structural and functional integrities of vascular endothelial cells are essential condition of sprouting angiogenesis. Vascular endothelial cells possess various subtypes, each of which plays a different role in sprouting angiogenesis. Many mechanisms participate in the regulation of endothelial cells under physiological and pathological conditions, such as biological signaling pathway, metabolism, immune inflammation and non-coding RNA. In this review, we provided a brief overview of the role and the related regulatory mechanisms of vascular endothelial cells in retinal sprouting angiogenesis.

Biodegradation of polyhydroxybutyrate by Pseudomonas sp. DSDY0501 and purification and characterization of polyhydroxybutyrate depolymerase.

Strain DSDY0501 with polyhydroxybutyrate (PHB)-degrading ability was isolated from activated sludge. The morphological, physiological, and biochemical properties of the strain and phylogenetic analysis indicated that the strain belongs to Pseudomonas sp. The strain used PHB as the sole carbon source and degraded PHB films completely in 21 h in liquid culture. An extracellular PHB depolymerase was purified from the supernatant of the culture by ultrafiltration and Sephacryl S-200 gel filtration. The specific activity of the purified enzyme increased 24.2-fold, and the recovery yield was 16.61%. Extracellular PHB depolymerase, a monomeric enzyme with a molecular weight of approximately 57.9 kDa, showed optimum activity at 60 °C and pH 9.0, and was stable in the temperature range of 10-60 °C and a pH range of 6.0-10.0. The secondary structure of the enzyme contained approximately 60% α-helix and 40% ß-pleated sheet according to the circular dichroism spectrum. Mass spectrum analysis showed that the main degradation product of the enzyme was PHB monomer, indicating the exo-type action of this PHB depolymerase.

Association of serum vitamin D with insulin resistance and inflammatory factors in initially diagnosed type 2 diabetes mellitus / 医学研究生学报

Objective Previous studies have shown that vitamin D may be involved in the pathogenesis of type 2 diabetes mellitus ( DM) , but the exact mechanism is not clear .The aim of this study was to investigate the association of serum vitamin D with insulin resistance in initially diagnosed type 2 DM and explore the mediating role of inflammatory factors IL-6 and TNF-αin this associ-ation. Methods This retrospectively study included 155 patients initially diagnosed with type 2 DM and 120 normal healthy controls . The concentration of serum 25( OH) D3 was detected by electrochemiluminescence in all the participants .The insulin resistance ( IR) index of the DM patients was calculated by homeostasis model assessment ( HOMA) and the correlation between serum vitamin D and HOMA-IR assessed by linear regression analysis .The DM patients were further divided into a vitamin D deficiency (<20 ng/mL, n=101) and a non-vitamin D deficiency group (>20 ng/mL, n=54), and the concentrations of serum IL-6 and TNF-αwere measured by enzyme linked immunosorbent assay and compared between the two groups. Results The level of serum vitamin D was significantly lower in the DM patients than in the normal controls ( [ 17.78±6.73] vs [42.70±11.46] ng/mL, P<0.01) and was negatively correlated with HOMA-IR (r2=-0.289, P<0.01).Both the concentrations of serum IL-6 and TNF-αwere markedly higher in the vitamin D defi-ciency than in the non-vitamin D deficiency group . Conclusion 2 DM by promoting insulin resistance , which is probably mediated by inflammatory factors IL-6 and TNF-α.

Association of serum vitamin D with insulin resistance and inflammatory factors in initially diagnosed type 2 diabetes mellitus / 医学研究生学报

Objective Previous studies have shown that vitamin D may be involved in the pathogenesis of type 2 diabetes mellitus ( DM) , but the exact mechanism is not clear .The aim of this study was to investigate the association of serum vitamin D with insulin resistance in initially diagnosed type 2 DM and explore the mediating role of inflammatory factors IL-6 and TNF-αin this associ-ation. Methods This retrospectively study included 155 patients initially diagnosed with type 2 DM and 120 normal healthy controls . The concentration of serum 25( OH) D3 was detected by electrochemiluminescence in all the participants .The insulin resistance ( IR) index of the DM patients was calculated by homeostasis model assessment ( HOMA) and the correlation between serum vitamin D and HOMA-IR assessed by linear regression analysis .The DM patients were further divided into a vitamin D deficiency (<20 ng/mL, n=101) and a non-vitamin D deficiency group (>20 ng/mL, n=54), and the concentrations of serum IL-6 and TNF-αwere measured by enzyme linked immunosorbent assay and compared between the two groups. Results The level of serum vitamin D was significantly lower in the DM patients than in the normal controls ( [ 17.78±6.73] vs [42.70±11.46] ng/mL, P<0.01) and was negatively correlated with HOMA-IR (r2=-0.289, P<0.01).Both the concentrations of serum IL-6 and TNF-αwere markedly higher in the vitamin D defi-ciency than in the non-vitamin D deficiency group . Conclusion 2 DM by promoting insulin resistance , which is probably mediated by inflammatory factors IL-6 and TNF-α.

Analysis of gene network regulated by microRNA-375 in HCC / 中国病理生理杂志

AIM: To investigate the expression of microRNA-375 (miR-375) in hepatocellular carcinoma (HCC) and to analyze the target genes and signaling pathways regulated by miR-375.METHODS: The expression of miR-375 was examined at tissue microarray of HCC by in situ hybridization.The whole human genome chip and bioinforma-tics analysis were applied to screen out the differential expression genes and signaling pathways in 4 HCC cell lines trans-fected with miR-375 mimic.RESULTS:In situ hybridization showed the expression of miR-375 in HCC tissues were obvi-ously higher than that in tumor-adjacent tissues (P<0.05).There were 20 co-upregulated genes and 17 co-downregulated genes in all 4 cell lines.Bioinformatic analysis showed that there were 54 signaling pathways related to up-regulated genes and 48 signaling pathways related to down-regulated genes in all 4 cell lines.CONCLUSION: miR-375 may play a key role in the pathological process of HCC.The bioinformatic analysis is able to screen the target genes and signaling pathways regulated by miR-375 and to provide an explicit direction for further mechanism research on HCC.

Significance of visual electrophysiological techniques in the early diagnosis of glaucoma / 国际眼科杂志(Guoji Yanke Zazhi)

Glaucoma is a group of diseases which can threaten and damage the optic nerve and its visual pathway, leading to visual impairment as a result. Glaucomatous optic neuropathy is a chronic disease accompanied by apoptosis of retinal ganglion cells ( RGCs ) , visual field defect and cupping of optic nerve head. The gold standard in functional glaucoma evaluation is standard automated perimetry ( SAP) , but it is often limited to the subjective feelings of the patients. Still, visual electrophysiological techniques cannot replace the conventional inspection, but with its rapid development, it has provided a new strategy for the early diagnosis of glaucoma as a supplement because it can show changes in amplitude and latency before visual field defect. Here we review three special electroretinograms and multifocal focal visually evoked potentials in the early diagnosis of glaucoma.

[Utilization and cost of outpatient care and their influencing factors among middle and aged peasant-workers in China].

OBJECTIVE: To examine the utilization and cost of outpatient care and their influencing factors among middle and aged peasant-workers in China. METHODS: The data of China Health and Retirement Longitudinal Study (CHARLS) collected in 2011-2012 were used and the data on peasant-workers aged 45 years and older were analyzed with Two-part Model. RESULTS: The four-week outpatient rate of middle and aged peasant-workers was 13.7% (407/2 974). The determinants of the rate included gender, marital status, economic level, household size, the place of insurance enrollment, self-assessed health and having or having no chronic diseases. The average outpatient cost was (400.3±56.7) yuan (RMB) and the median was 138.0 yuan. Multivariate analyses showed that outpatient costs were higher for those males who lived in Eastern China and worked at the same place with insurance enrollment, with fair to bad self-assessed health and chronic diseases. CONCLUSION: Allowing higher flexibility for migrants to transfer the new rural cooperative medical system(NCMS) between rural and urban areas and thus making reimbursement for medical services provided by undesignated providers received immediately could increase the use of outpatient services.

Methylene Blue Reduces Acute Cerebral Ischemic Injury via the Induction of Mitophagy.

The treatment of stroke is limited by a short therapeutic window and a lack of effective clinical drugs. Methylene blue (MB) has been used in laboratories and clinics since the 1890s. Few studies have reported the neuroprotective role of MB in cerebral ischemia-reperfusion injury. However, whether and how MB protects against acute cerebral ischemia (ACI) injury was unclear. In this study, we investigated the effect of MB on this injury and revealed that MB protected against ACI injury by augmenting mitophagy. Using a rat middle cerebral artery occlusion (MCAO) model, we demonstrated that MB improved neurological function and reduced the infarct volume and necrosis after ACI injury. These improvements depended on the effect of MB on mitochondrial structure and function. ACI caused the disorder and disintegration of mitochondrial structure, while MB ameliorated the destruction of mitochondria. In addition, mitophagy was inhibited at 24 h after stroke and MB augmented mitophagy. In an oxygen-glucose deprivation (OGD) model in vitro, we further revealed that the elevation of mitochondrial membrane potential (MMP) by MB under OGD conditions mediated the augmented mitophagy. In contrast, exacerbating the decline of MMP during OGD abolished the MB-induced activation of mitophagy. Taken together, MB promotes mitophagy by maintaining the MMP at a relatively high level, which contributes to a decrease in necrosis and an improvement in neurological function, thereby protecting against ACI injury.

Percolation of Phase-Separating Polymer Mixtures.

We study the percolation problem in a binary phase-separating polymer mixture. By well-designed experiments, we can delineate the percolation line on the phase diagram with sufficient accuracy. Our experiments show that the percolation thresholds start from the random percolation limit (Φ âˆ¼ 0.15) located near spinodal point at T → Tc and then converge toward the geometric coalescence limit (Φ âˆ¼ 0.36) with an increase in the quench depth. This apparent percolation difficulty comes about largely from the Rayleigh instability accompanied by large-amplitude, short-wavelength fluctuations during the spinodal decomposition at deeper quench depth. As a result, the broken "rigid" domains tend to pack closely, and the so-called droplet spinodal decomposition occurs. On the other hand, we observe that, between the selectively attractive walls, the surface-drying percolating phase will break up into droplets prematurely, thereby shifting its percolation line rather considerably. To our knowledge, such an effect is not yet predicted by theory or simulation.