Ferroptosis: Potential opportunities for natural products in cancer therapy.

Cancer cells often exhibit defects in the execution of cell death, resulting in poor clinical outcomes for patients with many cancer types. Ferroptosis is a newly discovered form of programmed cell death characterized by intracellular iron overload and lipid peroxidation in the cell membrane. Increasing evidence suggests that ferroptosis is closely associated with a wide variety of physiological and pathological processes, particularly in cancer. Notably, various bioactive natural products have been shown to induce the initiation and execution of ferroptosis in cancer cells, thereby exerting anticancer effects. In this review, we summarize the core regulatory mechanisms of ferroptosis and the multifaceted roles of ferroptosis in cancer. Importantly, we focus on natural products that regulate ferroptosis in cancer cells, such as terpenoids, polyphenols, alkaloids, steroids, quinones, and polysaccharides. The clinical efficacy, adverse effects, and drug-drug interactions of these natural products need to be evaluated in further high-quality studies to accelerate their application in cancer treatment.

[Huazhi Rougan Granules attenuates steatosis in cell model of nonalcoholic fatty liver disease by inducing autophagy].

To investigate the effect of Huazhi Rougan Granules(HZRG) on autophagy in a steatotic hepatocyte model of free fatty acid(FFA)-induced nonalcoholic fatty liver disease(NAFLD) and explore the possible mechanism. FFA solution prepared by mixing palmitic acid(PA) and oleic acid(OA) at the ratio of 1∶2 was used to induce hepatic steatosis in L02 cells after 24 h treatment, and an in vitro NAFLD cell model was established. After termination of incubation, cell counting kit-8(CCK-8) assay was performed to detect the cell viability; Oil red O staining was employed to detect the intracellular lipid accumulation; enzyme-linked immunosorbnent assay(ELISA) was performed to measure the level of triglyceride(TG); to monitor autophagy in L02 cells, transmission electron microscopy(TEM) was used to observe the autophagosomes; LysoBrite Red was used to detect the pH change in lysosome; transfection with mRFP-GFP-LC3 adenovirus was conducted to observe the autophagic flux; Western blot was performed to determine the expression of autophagy marker LC3B-Ⅰ/LC3B-Ⅱ, autophagy substrate p62 and silent information regulator 1(SIRT1)/adenosine 5'-monophosphate(AMP)-activated protein kinase(AMPK) signaling pathway. NAFLD cell model was successfully induced by FFA at 0.2 mmol·L~(-1) PA and 0.4 mmol·L~(-1) OA. HZRG reduced the TG level(P<0.05, P<0.01) and the lipid accumulation of FFA-induced L02 cells, while elevated the number of autophagosomes and autophagolysosomes to generate autophagic flux. It also affected the functions of lysosomes by regulating their pH. Additionally, HZRG up-regulated the expression of LC3B-Ⅱ/LC3B-Ⅰ, SIRT1, p-AMPK and phospho-protein kinase A(p-PKA)(P<0.05, P<0.01), while down-regulated the expression of p62(P<0.01). Furthermore, 3-methyladenine(3-MA) or chloroquine(CQ) treatment obviously inhibited the above effects of HZRG. HZRG prevented FFA-induced steatosis in L02 cells, and its mechanism might be related to promoting autophagy and regulating SIRT1/AMPK signaling pathway.

Template Attack of LWE/LWR-Based Schemes with Cyclic Message Rotation.

The side-channel security of lattice-based post-quantum cryptography has gained extensive attention since the standardization of post-quantum cryptography. Based on the leakage mechanism in the decapsulation stage of LWE/LWR-based post-quantum cryptography, a message recovery method, with templates and cyclic message rotation targeting the message decoding operation, was proposed. The templates were constructed for the intermediate state based on the Hamming weight model and cyclic message rotation was used to construct special ciphertexts. Using the power leakage during operation, secret messages in the LWE/LWR-based schemes were recovered. The proposed method was verified on CRYSTAL-Kyber. The experimental results demonstrated that this method could successfully recover the secret messages used in the encapsulation stage, thereby recovering the shared key. Compared with existing methods, the power traces required for templates and attack were both reduced. The success rate was significantly increased under the low SNR, indicating a better performance with lower recovery cost. The message recovery success rate could reach 99.6% with sufficient SNR.

[Pharmacodynamic mechanism of Tibetan medicine Liurui Capsules on experimental autoimmune uveitis in rats based on network pharmacology and animal experiments].

By integrating network pharmacology and animal experiments, we studied the pharmacodynamic mechanism of the Tibetan medicine Liurui Capsules in the treatment of experimental autoimmune uveitis(EAU). The active ingredients and targets of Liurui Capsules were searched against the Encyclopedia of Traditional Chinese Medicine(ETCM), Bioinformatics Analysis Tool for Molecular Mechanism of Traditional Chinese Medicine(BATMAN-TCM), and relevant literatures. The EAU-related targets were obtained from Gene Expression Omnibus(GEO), GeneCards, Online Mendelian Inheritance in Man(OMIM), and Therapeutic Target Database(TTD). The common targets shared by Liurui Capsules and EAU were identified, and the protein-protein interaction(PPI) network was established via STRING. Gene Ontology(GO) annotation and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis were conducted via g: Profiler. The rat model of EAU was induced by interphotoreceptor retinoid-binding protein(IRBP) and treated with Liurui Capsules. The inflammatory response of anterior segment and the pathological morphology of retina were observed. The mRNA and protein levels of delta-like ligand 4(DLL4), Notch1, interleukin-17(IL-17), and tumor necrosis factor-alpha(TNF-α) were determined by real-time quantitative PCR(q-PCR) and Western blot, respectively. The network pharmacology analysis predicted 51 common targets of Liurui Capsules and EAU, which were mainly involved in IL-17, TNF, and nuclear factor-kappa B(NF-κB) signaling pathways, as well as liposome receptors and other biological processes. Compared with the control group, the modeling of EAU caused inflammatory changes in the anterior segment and retina and up-regulated mRNA and protein levels of DLL4, Notch1, IL-17, and TNF-α in ocular tissue. Compared with the model group, Liurui Capsules reduced the inflammatory reaction of anterior segment and retina and down-regulated the mRNA and protein levels of DLL4, Notch1, IL-17, and TNF-α. Liurui Capsules can down-regulate the expression of the proteins involved in DLL4/Notch1/IL-17 signaling pathway in ocular tissue and alleviate the ocular inflammation, which may be one of the mechanisms of Liurui Capsules in the treatment of EAU.

An update of genetics, co-morbidities and management of hyperuricaemia.

Hyperuricaemia (HU) caused by disorders of purine metabolism is a metabolic disease. A number of epidemiological reports have confirmed that HU is correlated with multiple disorders, such as chronic kidney diseases, cardiovascular disease and gout. Recent studies showed that the expression and functional changes of uric acid transporters, including URAT1, GLUT9 and ABCG2, were associated with HU. Moreover, a large number of genome-wide association studies have shown that these transporters' dysfunction leads to HU. In this review, we describe the recent progress of aetiology and related transporters of HU, and we also summarise the common co-morbidities possible mechanisms, as well as the potential pharmacological and non-pharmacological treatment methods for HU, aiming to provide new ideas for the treatment of HU.

Glycemic variability: adverse clinical outcomes and how to improve it?

Glycemic variability (GV), defined as an integral component of glucose homoeostasis, is emerging as an important metric to consider when assessing glycemic control in clinical practice. Although it remains yet no consensus, accumulating evidence has suggested that GV, representing either short-term (with-day and between-day variability) or long-term GV, was associated with an increased risk of diabetic macrovascular and microvascular complications, hypoglycemia, mortality rates and other adverse clinical outcomes. In this review, we summarize the adverse clinical outcomes of GV and discuss the beneficial measures, including continuous glucose monitoring, drugs, dietary interventions and exercise training, to improve it, aiming at better addressing the challenging aspect of blood glucose management.

[Study on medication regularity of traditional Chinese medicine in treatment of COVID-19 based on data mining].

The coronavirus disease 2019(COVID-19) is developing rapidly and posing great threat to public health. There is no specific medicine available for treating the disease. Luckily, traditional Chinese medicine has played a positive role in the fighting against COVID-19. In this paper, We collected and sorted the prescriptions of modern Chinese medicine for COVID-19 released by national government, different provinces, autonomous regions and municipalities, as well as online databases, such as CNKI, WanFang medical network, and VIP database. These prescriptions were combined with the inheritance of traditional Chinese medicine auxiliary V2.5, and the complex system entropy clustering method was used to determine the association rules and frequency of single drug and drug combination in the prescription. In the end, 96 effective prescriptions were included. Among them, the four properties were mainly concentrated in temperature, cold and level, the five tastes were mainly concentrated in bitter, hot and sweet, and the meridians were mainly concentrated in lung, stomach and spleen. The high-frequency drugs were Glycyrrhizae Radix et Rhizoma, Armeniacae Semen Amarum, Gypsum Fibrosum, etc., and the high-frequency combinations are Gypsum Fibrosum-Armeniacae Semen Amarum, Gypsum Fibrosum-Glycyrrhizae Radix et Rhizoma, Armeniacae Semen Amarum-Glycyrrhizae Radix et Rhizoma, the core combinations are Lepidii Semen-Armeniacae Semen Amarum-Gypsum Fibrosum, Pogostemonis Herba-Zingiberis Rhizoma Recens-Magnoliae Officinalis Cortex, Ophiopogonis Radix-Armeniacae Semen Amarum-Scutellariae Radix and so on. Form new prescriptions Lepidii Semen, Armeniacae Semen Amarum, Gypsum Fibrosum, Pogostemonis Herba, Zingiberis Rhizoma Recens, Magnoliae Officinalis Cortex. Ophiopogonis Radix, Armeniacae Semen Amarum, Scutellariae Radix, Schisandrae Sphenantherae Fructus, Panacis Quinquefolii Radix. From the medicinal properties to high-frequency drugs and new prescriptions, it could be seen that the overall treatment of COVID-19 by traditional Chinese medicine was to strengthen body resistance, eliminate pathogenic factors, and give attention to Qi and Yin.

[Medication rules of Professor Zhang Bing in treatment of skin itching based on data mining].

Skin itching is a subjective sensation that causes the desire to scratch. It is one of the most common clinical symptoms at department of dermatology, even the only complaint of dermatological patients, which seriously affects the quality life of patients. Therefore, based on the software of traditional Chinese medicine inheritance auxiliary platform, association rules and complex system entropy clustering were adopted to collect and analyze Zhang Bing's prescriptions for skin itching, and get the drug use frequency and the relationship between drugs. Based on that, we could conclude the experience for skin itching. A total of 147 prescriptions were collected, 20 drugs with a frequency of 34 or more and 20 high-frequency drug combinations were analyzed, and 14 core combinations and 7 new prescriptions were excavated. The high-frequency drugs included Kochiae Fructus, Dictamni Cortex, Mori Cortex. The high-frequency drug combinations included "Kochiae Fructus-Dictamni Cortex" "Angelicae Dahuricae Radix-Chuanxiong Rhizoma" "Paeoniae Radix Rubra-Paeoniae Radix Alba", and the core combinations included "Schizonepetae Herba-Saposhnikoviae Radix-Cinnamomi Ramulus" "Arctii Fructus-Cicadae Periostracum-Houttuyniae Herba" "Ghrysanthemi Indici Flos-Kochiae Fructus-Dictamni Cortex", and new formulations include "Schizonepetae Herba, Saposhnikoviae Radix, Cinnamomi Ramulus, Clematidis Radix et Rhizoma, Tribuli Fructus, Dictamni Cortex", "Phellodendri Chinensis Coritex, Lonicerae Japonicae Flos, Atractylodis Rhizoma, Ghrysanthemi Indici Flos, Kochiae Fructus, Dictamni Cortex" "Arctii Fructus, Cicadae Periostracum, Houttuyniae Herba, Trichosanthis Fructus". The result of this research shows that Professor Zhang Bing's experience in the treatment of skin itching is mainly to dispelling wind and arresting itching, clearing heat and drying dampness.

[Discussion on safety of Xanthii Fructus and consideration on its rational use].

Xanthii Fructus is a traditional Chinese medicine for the treatment of sinusitis and headache,rich in medicinal materials and is widely used for more than 1 800 years. Modern pharmacological studies have showed that Xanthii Fructus has anti-inflammatory,analgesic,anti-tumor,anti-bacterial,hypoglycemic,anti-allergic,immunomodulatory and other pharmacological effects,which can be commonly used in the treatment of diseases relating to immune abnormalities,such as rheumatoid arthritis,acute and chronic rhinitis,allergic rhinitis,and skin diseases,with a high medicinal value. Toxicological studies have shown that Xanthii Fructus poisoning can cause substantial damage to organs,such as the liver,kidney,and gastrointestinal tract,especially to liver. Because of the coexisting of its efficacy and toxicity,Xanthii Fructus often leads to a series of safety problems in the clinical application process. This study attempts to summarize its characteristics of adverse reactions,analyze the root cause of the toxicity of Xanthii Fructus from such aspects as processing,dose,course of treatment and eating by mistake,discuss the substance of its efficacy/toxicity from chemical compositions,and put forward exploratory thinking about how to promote its clinical rational application from the aspects such as strict processing,reasonable compatibility,medication information,contraindication,strict control of the dose,and course of treatment,so as to promote the safe and reasonable application of Xanthii Fructus.

Bayesian Compressive Sensing Based Optimized Node Selection Scheme in Underwater Sensor Networks.

Information acquisition in underwater sensor networks is usually limited by energy and bandwidth. Fortunately, the received signal can be represented sparsely on some basis. Therefore, a compressed sensing method can be used to collect the information by selecting a subset of the total sensor nodes. The conventional compressed sensing scheme is to select some sensor nodes randomly. The network lifetime and the correlation of sensor nodes are not considered. Therefore, it is significant to adjust the sensor node selection scheme according to these factors for the superior performance. In this paper, an optimized sensor node selection scheme is given based on Bayesian estimation theory. The advantage of Bayesian estimation is to give the closed-form expression of posterior density function and error covariance matrix. The proposed optimization problem first aims at minimizing the mean square error (MSE) of Bayesian estimation based on a given error covariance matrix. Then, the non-convex optimization problem is transformed as a convex semidefinite programming problem by relaxing the constraints. Finally, the residual energy of each sensor node is taken into account as a constraint in the optimization problem. Simulation results demonstrate that the proposed scheme has better performance than a conventional compressed sensing scheme.

Probabilistic Neighborhood-Based Data Collection Algorithms for 3D Underwater Acoustic Sensor Networks.

Marine environmental monitoring provides crucial information and support for the exploitation, utilization, and protection of marine resources. With the rapid development of information technology, the development of three-dimensional underwater acoustic sensor networks (3D UASNs) provides a novel strategy to acquire marine environment information conveniently, efficiently and accurately. However, the specific propagation effects of acoustic communication channel lead to decreased successful information delivery probability with increased distance. Therefore, we investigate two probabilistic neighborhood-based data collection algorithms for 3D UASNs which are based on a probabilistic acoustic communication model instead of the traditional deterministic acoustic communication model. An autonomous underwater vehicle (AUV) is employed to traverse along the designed path to collect data from neighborhoods. For 3D UASNs without prior deployment knowledge, partitioning the network into grids can allow the AUV to visit the central location of each grid for data collection. For 3D UASNs in which the deployment knowledge is known in advance, the AUV only needs to visit several selected locations by constructing a minimum probabilistic neighborhood covering set to reduce data latency. Otherwise, by increasing the transmission rounds, our proposed algorithms can provide a tradeoff between data collection latency and information gain. These algorithms are compared with basic Nearest-neighbor Heuristic algorithm via simulations. Simulation analyses show that our proposed algorithms can efficiently reduce the average data collection completion time, corresponding to a decrease of data latency.

Relationship between High-Performance Liquid Chromatography Fingerprints and Uric Acid-Lowering Activities of Cichorium intybus L.

This study aimed to explore the spectrum-effect relationships between high-performance liquid chromatography fingerprints and the uric acid-lowering activities of chicory. Chemical fingerprints of chicory samples from ten different sources were determined by high-performance liquid chromatography, and then investigated by similarity analysis and hierarchical clustering analysis. Pharmacodynamics experiments were conducted in animals to obtain the uric acid-lowering activity information of each chicory sample. The spectrum-effect relationships between chemical fingerprints and the uric acid-lowering activities of chicory were established by canonical correlation analysis. The structures of potential effective peaks were identified by liquid chromatography with tandem mass spectrometry. The results showed that a close correlation existed between the spectrum and effect of chicory. Aesculin, chlorogenic acid, chicoric acid, isochlorogenic acid A/B/C and 13,14-seco-stigma5(6),14(15)-diene-3α-ol might be the main effective constituents. This work provides a general model of the combination of high-performance liquid chromatography and uric acid-lowering activities to study the spectrum-effect relationships of chicory, which can be used to discover the principle components responsible for the bioactivity.

[Molecular docking analysis of xanthine oxidase inhibition by constituents of cichory].

Human xanthine oxidase is considered to be a target for therapy of hyperuricemia. Cichorium intybus is a Chinese plant medicine which widely used in Xinjiang against various diseases. In order to screen the inhibitors of xanthine oxidase from C. intybus and to explore main pharmacological actions of cichory a compound collection of C. intybus was built via consulting related references about chemical research on cichory. The three-dimensional crystal structure of xanthine oxidase (PDB code: 1N5X) from Protein Data Bank was downloaded.. Autodock 4.2 was employed to screen the inhibitors of xanthine oxidase from cichory 70 compounds were found to possess quite low binding free energy comparing with TEI (febuxostat). C. intybus contains constituents possessing potential inhibitive activity against xanthine oxidase. It can explain the main pharmacological actions of cichory which can significantly lower the level of serum uric acid.

Kidney tea [Orthosiphon aristatus (Blume) Miq.] improves diabetic nephropathy via regulating gut microbiota and ferroptosis.

Introduction: Diabetic nephropathy (DN) is the leading cause of end-stage renal disease. Due to its complex pathogenesis, new therapeutic agents are urgently needed. Orthosiphon aristatus (Blume) Miq., commonly known as kidney tea, is widely used in DN treatment in China. However, the mechanisms have not been fully elucidated. Methods: We used db/db mice as the DN model and evaluated the efficacy of kidney tea in DN treatment by measuring fasting blood glucose (FBG), serum inflammatory cytokines, renal injury indicators and histopathological changes. Furthermore, 16S rDNA gene sequencing, untargeted serum metabolomics, electron microscope, ELISA, qRT-PCR, and Western blotting were performed to explore the mechanisms by which kidney tea exerted therapeutic effects. Results: Twelve polyphenols were identified from kidney tea, and its extract ameliorated FBG, inflammation and renal injury in DN mice. Moreover, kidney tea reshaped the gut microbiota, reduced the abundance of Muribaculaceae, Lachnoclostridium, Prevotellaceae_UCG-001, Corynebacterium and Akkermansia, and enriched the abundance of Alloprevotella, Blautia and Lachnospiraceae_NK4A136_group. Kidney tea altered the levels of serum metabolites in pathways such as ferroptosis, arginine biosynthesis and mTOR signaling pathway. Importantly, kidney tea improved mitochondrial damage, increased SOD activity, and decreased the levels of MDA and 4-HNE in the renal tissues of DN mice. Meanwhile, this functional tea upregulated GPX4 and FTH1 expression and downregulated ACSL4 and NCOA4 expression, indicating that it could inhibit ferroptosis in the kidneys. Conclusion: Our findings imply that kidney tea can attenuate DN development by modulating gut microbiota and ferroptosis, which presents a novel scientific rationale for the clinical application of kidney tea.

Guizhi Shaoyao Zhimu Decoction ameliorates gouty arthritis in rats via altering gut microbiota and improving metabolic profile.

BACKGROUND: The incidence of gouty arthritis (GA) has gradually increased, and modern drug therapies have obvious side effects. Guizhi Shaoyao Zhimu Decoction (GSZD), a classic prescription in Traditional Chinese Medicine for treating various osteoarthritis, has shown significant advantages in curing GA. PURPOSE: To verify the therapeutic effect of GSZD on GA and investigate its potential pharmacological mechanism via integrated analysis of the gut microbiota and serum metabolites for the first time. METHODS: The chemical composition of GSZD was determined using UPLC-MS. The GA rat model was established by the induction of a high-purine diet combined with local injection. We examined the effects and mechanisms of GSZD after 21 d using enzyme-linked immunosorbent assays, 16S rRNA, and non-targeted metabolomics. Finally, correlation analysis and validation experiment were performed to explore the association among the gut microbiota, serum metabolites, and GA-related clinical indices. RESULTS: In total, 19 compounds were identified as GSZD. High-purine feedstuff with local injection-induced arthroceles were significantly attenuated after GSZD treatment. GSZD improved bone erosion and reduced the serum levels of inflammatory factors (lipopolysaccharide, tumor cell necrosis factor-α, and interleukin) and key indicators of GA (uric acid). 16S rRNA analysis indicated that GSZD-treated GA rats exhibited differences in the composition of the gut microbiota. The abundance of flora involved in uric acid transport, including Lactobacillus, Ruminococcaceae, and Turicibacter, was elevated to various degrees, whereas the abundance of bacteria involved in inflammatory responses, such as Blautia, was markedly reduced after treatment. Moreover, serum metabolite profiles revealed 27 different metabolites associated with the amelioration of GA, which primarily included fatty acids, glycerophospholipids, purine metabolism, amino acids, and bile acids, as well as primary metabolic pathways, such as glycerophospholipid metabolism and alanine. Finally, correlation analysis of the heat maps and validation experiment demonstrated a close relationship among inflammatory cytokines, gut microbial phylotypes, and metabolic parameters. CONCLUSION: This study demonstrated that GSZD could modulate the gut microbiota and serum metabolic homeostasis to treat GA. In addition, the application of gut microbiota and serum metabolomics correlation analyses sheds light on the mechanism of Traditional Chinese Medicine compounds in the treatment of bone diseases.

Anti-hyperuricemia effect of Clerodendranthus spicatus: a molecular biology study combined with metabolomics.

Hyperuricemia (HUA), a metabolic disease caused by excessive production or decreased excretion of uric acid (UA), has been reported to be closely associated with a variety of UA transporters. Clerodendranthus spicatus (C. spicatus) is an herbal widely used in China for the treatment of HUA. However, the mechanism has not been clarified. Here, the rat model of HUA was induced via 10% fructose. The levels of biochemical indicators, including UA, xanthine oxidase (XOD), adenosine deaminase (ADA), blood urea nitrogen (BUN), and creatinine (Cre), were measured. Western blotting was applied to explore its effect on renal UA transporters, such as urate transporter1 (URAT1), glucose transporter 9 (GLUT9), and ATP-binding cassette super-family G member 2 (ABCG2). Furthermore, the effect of C. spicatus on plasma metabolites was identified by metabolomics. Our results showed that C. spicatus could significantly reduce the serum levels of UA, XOD, ADA and Cre, and improve the renal pathological changes in HUA rats. Meanwhile, C. spicatus significantly inhibited the expression of URAT1 and GLUT9, while increased the expression of ABCG2 in a dose-dependent manner. Metabolomics showed that 13 components, including 1-Palmitoyl-2-Arachidonoyl-sn-glycero-3-PE, Tyr-Leu and N-cis-15-Tetracosenoyl-C18-sphingosine, were identified as potential biomarkers for the UA-lowering effect of C. spicatus. In addition, pathway enrichment analysis revealed that arginine biosynthesis, biosynthesis of amino acids, pyrimidine metabolism and other metabolic pathways might be involved in the protection of C. spicatus against HUA. This study is the first to explore the mechanism of anti-HUA of C. spicatus through molecular biology and metabolomics analysis, which provides new ideas for the treatment of HUA.

The Effects of Aging on Microstructures and Rheological Properties of Modified Asphalt with GO/SBS Composite.

This work aimed to investigate the effects of aging on the microstructures and rheological properties of modified asphalt with a GO/SBS composite, since the styrene-butadiene-styrene block copolymer is potentially compatible with graphene oxide (GO). The GO/SBS composites, which were used as a kind of modifier, were prepared via the solution-blending method. GO/SBS composites with varying GO contents were employed to prepare the GO/SBS-compound-modified asphalt (GO/SBS-MA). Then, the GO/SBS-MA underwent PAV (pressure aging vessel) or UV (ultraviolet) aging tests to simulate different aging circumstances. The microstructures of the asphalt binders were studied using FTIR (Fourier-transform infrared spectroscopy) and AFM (atomic force microscope) tests. Moreover, DSR (dynamic shear rheometer) and BBR (bending beam rheometer) experiments were carried out to investigate the rheological properties of the GO/SBS-MA. The results showed that the addition of GO improved the high-temperature stability of the asphalt binder while slightly impairing its performance at low temperatures. GO restrained the formation of carbonyl and sulfoxide groups as well as the breakdown of C=C bonds in the polybutadiene (PB) segment, promoting the anti-aging performance of GO/SBS-MA. Furthermore, the interactions between the GO/SBS and the asphalt binder resulted in the formation of needle-like aggregates, enhancing the stability of the asphalt binder. The asphalt binders with a higher content of graphene oxide (GO) exhibited not only a better high-temperature performance, but also a better aging resistance. It was concluded that the macroscopic properties and microstructures were significantly affected by GO, and a moderate increase in the amount of GO could contribute to a better aging resistance for GO/SBS-MA.

Ultrasonic treatment of canine ORNM.

PURPOSE: To investigate the effect of low-intensity ultrasound on mandibular osteoradionecrosis. MATERIALS AND METHODS: Using a canine model, radiotherapy was delivered to the mandible at doses of 25 and 28 Gy. The microstructure of the mandible and changes in microvascular density in the low-intensity ultrasound treatment (group A) and nontreatment (group B) groups were determined and compared with those of the control group. RESULTS: At a single dose of 28 Gy, the canines developed epilation of the mandibular skin, ulcers, and small pieces of oral sequestered material. The microvascular density in group A was significantly greater than that in group B (P<.05). Most osteocytes in group B had disappeared, with atrophy of the cancellous bone trabeculae. In contrast, in group A, a substantial amount of bone had been formed, with increasing amounts of bone trabeculae and a large number of osteoblasts. CONCLUSIONS: Low-intensity ultrasound effectively improves the healing of irradiated bone.

Study on the mechanism of Orthosiphon aristatus (Blume) Miq. in the treatment of hyperuricemia by microbiome combined with metabonomics.

ETHNOPHARMACOLOGICAL RELEVANCE: Growing evidence indicates that hyperuricemia is closely associated with gut microbiota dysbiosis. Orthosiphon aristatus (Blume) Miq. (O. aristatus), as a traditional Chinese medicine, has been widely used to treat hyperuricemia in China. However, the mechanism by which O. aristatus treats hyperuricemia has not been clarified. AIM OF THE STUDY: In this study, we investigated whether the molecular mechanism underlying the anti-hyperuricemia effect of O. aristatus is related to the regulation of gut microbiota by 16S rDNA gene sequencing combined with widely targeted metabolomics. MATERIALS AND METHODS: Hyperuricemia was induced in rats by administration of 10% fructose and 20% yeast, and the uricosuric effect was assessed by measuring the uric acid (UA) levels in serum and cecal contents. Intestinal morphology was observed by hematoxylin and eosin (HE) staining. To explore the effects of O. aristatus on the gut microbiota and its metabolites, we utilized 16S rDNA gene sequencing combined with widely targeted metabolomics. Furthermore, metabolic pathway enrichment analysis was performed on the screened differential metabolites. The real time quantitative polymerase chain reaction (RT-PCR) and western blotting (WB) were used to detect the expression of relevant proteins in the key pathway. RESULTS: Our results indicated that O. aristatus intervention decreased serum UA levels and increased the UA levels in cecal contents in hyperuricemic rats. Additionally, O. aristatus improved intestinal morphology and altered the composition of the gut microbiota and its metabolites. Specifically, 16S rDNA revealed that O. aristatus treatment significantly reduced the abundance of unidentified-Ruminococcaceae and Lachnospiraceae-NK4A136-group. Meanwhile, widely targeted metabolomics showed that 17 metabolites, including lactose, 4-oxopentanoate and butyrate, were elevated, while 55 metabolites, such as flavin adenine dinucleotide and xanthine, were reduced. Metabolic pathway enrichment analysis found that O. aristatus was mainly involved in purine metabolism. Moreover, RT-PCR and WB suggested that O. aristatus could significantly up-regulate the expression of UA excretion transporter ATP-binding cassette subfamily G member 2 (ABCG2) in the intestine. CONCLUSION: O. aristatus exerts UA-lowering effect by regulating the gut microbiota and ABCG2 expression, indicating that this herb holds great promise in the treatment of hyperuricemia.

Pharmacomicrobiomics and type 2 diabetes mellitus: A novel perspective towards possible treatment.

Type 2 diabetes mellitus (T2DM), a major driver of mortality worldwide, is more likely to develop other cardiometabolic risk factors, ultimately leading to diabetes-related mortality. Although a set of measures including lifestyle intervention and antidiabetic drugs have been proposed to manage T2DM, problems associated with potential side-effects and drug resistance are still unresolved. Pharmacomicrobiomics is an emerging field that investigates the interactions between the gut microbiome and drug response variability or drug toxicity. In recent years, increasing evidence supports that the gut microbiome, as the second genome, can serve as an attractive target for improving drug efficacy and safety by manipulating its composition. In this review, we outline the different composition of gut microbiome in T2DM and highlight how these microbiomes actually play a vital role in its development. Furthermore, we also investigate current state-of-the-art knowledge on pharmacomicrobiomics and microbiome's role in modulating the response to antidiabetic drugs, as well as provide innovative potential personalized treatments, including approaches for predicting response to treatment and for modulating the microbiome to improve drug efficacy or reduce drug toxicity.