Studying allosteric regulation of chemokines and antagonists using a nanoscale hCCR3 receptor sensor.

CC chemokine receptor-3 (hCCR3), a G protein-coupled receptor (GPCR) expressed predominantly on eosinophils, is an important drug target. However, it was unclear how chemokine ligands, activators and antagonists recognize hCCR3, and quantitative measurements of hCCR3 inhibition or activation were rare. This study constructed a nanogold receptor sensor using hCCR3 as the molecular recognition element and horseradish peroxidase as the signal amplifier. We quantified the kinetic antagonism between chemokines and hCCR3 before and after adding hCCR3 antagonists. A molecular docking study was carried out to investigate how hCCR3 and its ligands work. The study results indicate chemokines interact with hCCR3 at low concentrations, and reversible hCCR3 inhibitors solely inhibit hCCR3, not CCLs. Moreover, a quantitative evaluation of hCCR3 chemokine activators and their antagonists was carried out using a directed weighted network. This offers a novel approach to quantitatively evaluate chemokine-receptor activation and antagonism together. This research could potentially offer new insights into the mechanisms of action of chemokines and drug screening.

Study of the Sensing Kinetics of G Protein-Coupled Estrogen Receptor Sensors for Common Estrogens and Estrogen Analogs.

Endogenous and exogenous estrogens are widely present in food and food packaging, and high levels of natural estrogens and the misuse or illegal use of synthetic estrogens can lead to endocrine disorders and even cancer in humans. Therefore, it is consequently important to accurately evaluate the presence of food-functional ingredients or toxins with estrogen-like effects. In this study, an electrochemical sensor based on G protein-coupled estrogen receptors (GPERs) was fabricated by self-assembly, modified by double-layered gold nanoparticles, and used to measure the sensing kinetics for five GPER ligands. The interconnected allosteric constants (Ka) of the sensor for 17ß-estradiol, resveratrol, G-1, G-15, and bisphenol A were 8.90 × 10-17, 8.35 × 10-16, 8.00 × 10-15, 5.01 × 10-15, and 6.65 × 10-16 mol/L, respectively. The sensitivity of the sensor for the five ligands followed the order of 17ß-estradiol > bisphenol A > resveratrol > G-15 > G-1. The receptor sensor also demonstrated higher sensor sensitivity for natural estrogens than exogenous estrogens. The results of molecular simulation docking showed that the residues Arg, Glu, His, and Asn of GPER mainly formed hydrogen bonds with -OH, C-O-C, or -NH-. In this study, simulating the intracellular receptor signaling cascade with an electrochemical signal amplification system enabled us to directly measure GPER-ligand interactions and explore the kinetics after the self-assembly of GPERs on a biosensor. This study also provides a novel platform for the accurate functional evaluation of food-functional components and toxins.

Comparative Study on the Sensing Kinetics of Carbon and Nitrogen Nutrients in Cancer Tissues and Normal Tissues Based Electrochemical Biosensors.

In this study, an electrochemical sensor was developed by immobilizing colon cancer and the adjacent tissues (peripheral healthy tissues on both sides of the tumor) and was used to investigate the receptor sensing kinetics of glucose, sodium glutamate, disodium inosinate, and sodium lactate. The results showed that the electrical signal triggered by the ligand-receptor interaction presented hyperbolic kinetic characteristics similar to the interaction of an enzyme with its substrate. The results indicated that the activation constant values of the colon cancer tissue and adjacent tissues differed by two orders of magnitude for glucose and sodium glutamate and around one order of magnitude for disodium inosinate. The cancer tissues did not sense sodium lactate, whereas the adjacent tissues could sense sodium lactate. Compared with normal cells, cancer cells have significantly improved nutritional sensing ability, and the improvement of cancer cells' sensing ability mainly depends on the cascade amplification of intracellular signals. However, unlike tumor-adjacent tissues, colon cancer cells lose the ability to sense lactate. This provides key evidence for the Warburg effect of cancer cells. The methods and results in this study are expected to provide a new way for cancer research, treatment, the screening of anticancer drugs, and clinical diagnoses.

Manual acupuncture at ST36 attenuates rheumatoid arthritis by inhibiting M1 macrophage polarization and enhancing Treg cell populations in adjuvant-induced arthritic rats.

OBJECTIVES: Acupuncture has been found to be effective at relieving many inflammatory pain conditions, including rheumatoid arthritis (RA). We aimed to assess the anti-inflammatory potential of manual acupuncture (MA) treatment of RA using adjuvant-induced arthritic (AIA) rats and to explore the underlying mechanisms. METHODS: The anti-inflammatory and analgesic actions of MA at ST36 (Zusanli) in AIA rats were assessed using paw withdrawal latency and swelling, histological examination and cytokine detection by enzyme-linked immunoassay (ELISA). The cell-cell communication (CCC) network was analyzed with a multiplex immunoassay of 24 immune factors expressed in the inflamed joints, and the macrophage and Treg populations and associated cytokines regulated by MA were investigated using reverse-transcription quantitative polymerase chain reaction (RT-qPCR), ELISA and flow cytometry. RESULTS: MA markedly decreased heat hyperalgesia and paw swelling in AIA rats. MA-treated rats also exhibited decreased levels of pro-inflammatory cytokines (tumor necrosis factor (TNF)-α, interleukin (IL)-1ß) coupled with increased anti-inflammatory cytokines (IL-10, transforming growth factor (TGF)-ß1) in the ankle joints at protein and mRNA levels. CCC network analysis confirmed that macrophages are of critical importance and are potential therapeutic targets in RA. Repeated treatment with MA triggered a macrophage phenotypic switch in the paws, with fewer M1 macrophages. Prominent increases in the Treg cell population and TGF-ß1 in the popliteal lymph nodes demonstrated the immunomodulatory effects of MA. Furthermore, a selective TGF-ß1-receptor inhibitor, SB431542, attenuated the anti-inflammatory effects of MA and MA-induced suppression of the levels of M1-released cytokines. CONCLUSION: These findings provide novel evidence that the anti-inflammatory and analgesic effects of MA on RA act through phenotypic modulation involving the inhibition of M1 macrophage polarization and an increase in the Treg cell population, highlighting the potential therapeutic advantages of acupuncture in controlling pain and ameliorating inflammatory conditions.

Kinetics of Drug Molecule Interactions with a Newly Developed Nano-Gold-Modified Spike Protein Electrochemical Receptor Sensor.

In March 2020, the World Health Organization (WHO) declared COVID-19 a pandemic, and the spike protein has been reported to be an important drug target for anti-COVID-19 treatment. As such, in this study, we successfully developed a novel electrochemical receptor biosensor by immobilizing the SARS-CoV-2 spike protein and using AuNPs-HRP as an electrochemical signal amplification system. Moreover, the time-current method was used to quantify seven antiviral drug compounds, such as arbidol and chloroquine diphosphate. The results show that the spike protein and the drugs are linearly correlated within a certain concentration range and that the detection sensitivity of the sensor is extremely high. In the low concentration range of linear response, the kinetics of receptor-ligand interactions are similar to that of an enzymatic reaction. Among the investigated drug molecules, bromhexine exhibits the smallest Ka value, and thus, is most sensitively detected by the sensor. Hydroxychloroquine exhibits the largest Ka value. Molecular docking simulations of the spike protein with six small-molecule drugs show that residues of this protein, such as Asp, Trp, Asn, and Gln, form hydrogen bonds with the -OH or -NH2 groups on the branched chains of small-molecule drugs. The electrochemical receptor biosensor can directly quantify the interaction between the spike protein and drugs such as abidor and hydroxychloroquine and perform kinetic studies with a limit of detection 3.3 × 10-20 mol/L, which provides a new research method and idea for receptor-ligand interactions and pharmacodynamic evaluation.

Electrochemical Signal Amplification Strategies and Their Use in Olfactory and Taste Evaluation.

Biosensors are powerful analytical tools used to identify and detect target molecules. Electrochemical biosensors, which combine biosensing with electrochemical analysis techniques, are efficient analytical instruments that translate concentration signals into electrical signals, enabling the quantitative and qualitative analysis of target molecules. Electrochemical biosensors have been widely used in various fields of detection and analysis due to their high sensitivity, superior selectivity, quick reaction time, and inexpensive cost. However, the signal changes caused by interactions between a biological probe and a target molecule are very weak and difficult to capture directly by using detection instruments. Therefore, various signal amplification strategies have been proposed and developed to increase the accuracy and sensitivity of detection systems. This review serves as a reference for biosensor and detector research, as it introduces the research progress of electrochemical signal amplification strategies in olfactory and taste evaluation. It also discusses the latest signal amplification strategies currently being employed in electrochemical biosensors for nanomaterial development, enzyme labeling, and nucleic acid amplification techniques, and highlights the most recent work in using cell tissues as biosensitive elements.

Development of a nanozyme-based electrochemical sensor for detection of stringent response.

PpGpp (Guanosine 3',5'-bisdiphosphate) and NADPH (nicotinamide adenine dinucleotide phosphate) are important biological compounds in stringent response of organisms and play a crucial role in their growth and survival. At present, there is no report on the method for comprehensively detection of stringent response. In this study, a nanozyme-based electrochemical sensor was fabricated by self-assembly and was used for detecting stringent response with high sensitivity (Km of ppGpp is 1.498 × 10-12 mol/L and Km of NADPH is 7.489 × 10-13 mol/L) and selectivity. The sensor exhibited advantages of fast response times (∼50 s), high specificity, and simple operation. The sensor was successfully used to detect stringent response in Arabidopsis thaliana leaf extracts, Escherichia coli extracts and serum samples from SD rats. Notably, the method does not require complex sample pretreatment and has high application potential for comprehensively detecting overall nutritional status that is involved in the stringent responses of animals, plants, and microorganisms.

Replacing arginine 99 with leucine to study the kinetics of interconnected allosteric interactions between FFAR4 and naturally occurring fatty acids.

The long-chain fatty acid receptor FFAR4 is the main G-protein-coupled receptor in the body for detecting long-chain fatty acids. It has been shown that Arg99 may be an important residue for fatty acid recognition and for the activation of hFFAR4, though direct evidence is still lacking. In this study, Arg99 on hFFAR4 was substituted with leucine by genetic manipulation, and a double-layer gold nanoparticle biosensor based on hFFAR4 (Arg99 â†’ Leu) was constructed. The interconnected allosteric interaction between 11 naturally occurring fatty acid ligands and the receptor was determined. The results showed that Arg99 is the key residue on hFFAR4 for the recognition of the carboxyl group on fatty acids. This study offered direct quantitative evidence for the role played by different residues in receptor-ligand recognition and interconnected allosterism, providing a new approach for investigating the mechanisms and kinetics of interconnected receptor-ligand allosterism.

Study on the distribution of umami receptors on the tongue and its signal coding logic based on taste bud biosensor.

Taste signals are uniformly encoded and transmitted to the brain's taste center by taste buds, and the process has not been systematically studied for several decades. The aim of this work was to investigate the distribution of umami receptors on the tongue and its signal coding logic based on the taste bud biosensors. Taste bud biosensors were constructed by immobilizing the taste bud tissues from different tongue regions of the rabbit to the glassy carbon electrode surface; The Shennong information equations were used to analysis the pattern of umami receptors to encode ligands information; The signal amplification capabilities of two types umami receptors (T1R1/T1R3 and mGluRs) were analyzed for the two ligands (L-monosodium glutamate (MSG) and disodium 5'-inosinate (IMP)). The results showed that each taste bud biosensor could sense MSG and IMP with different response currents based on enzyme-substrate kinetics. There was only a small fraction of a great quantity of metabotropic glutamate receptors (mGluRs) could be activated to encode MSG signal. Importantly, T1R1 was more expressed in the rostral tongue cells whose sensitivity to MSG was nearly 100 times stronger than that of caudal tongue cells. The method we proposed made it possible to reveal the distribution and signals coding logic of umami receptors for ligands, which showed great potential to explain the interaction mechanism of umami substances with their receptors more accurately and to develop of artificial intelligent taste sensory.

ST36 Acupuncture Alleviates the Inflammation of Adjuvant-Induced Arthritic Rats by Targeting Monocyte/Macrophage Modulation.

BACKGROUND: Rheumatoid arthritis (RA) is a chronic systemic chronic autoimmune disease characterized by the aggregation of immune cells and secretion of cytokines in the joint synovium, causing hyperblastosis and even bone destruction. Acupuncture has been proven effective in RA treatment. This study aimed to investigate the anti-inflammatory action of acupuncture, specifically, in relation to immune cell interactions and key mediators. METHODS: Rats with adjuvant-induced arthritics (AIA) were treated with manual acupuncture (MA) at Zusanli (ST36). Joint edema and paw withdrawal latency were monitored to observe the effects on inflammation. The levels of 24 cytokines, chemokines, and growth factors in ankle joints during the treatment (on days 1, 7, 15, and 21) were detected by multiplex immunoassay. A bioinformatics analysis based on a directed weighted mathematical model was used to construct cell communication network diagrams and identify the key cells through calculation. The monocyte/macrophage polarization in inflamed joints was investigated by detecting M1- and M2-phenotypic populations and their related cytokines. RESULTS: ST36 MA alleviated paw edema and upregulated the nociceptive threshold of AIA rats. Several innate and adaptive immune cytokines were dynamically regulated by MA, and MA-treated rats showed a significant improvement in symptoms compared with AIA rats by day 21. The immune cell-cell communication networks were intensified with the development of RA but were significantly reduced after treatment with MA. MA was found to specifically regulate monocytes/macrophages in inflamed ankle joints ST36 MA also inhibited M1-phenotype macrophages accompanied by decreased levels of IL-1ß. CONCLUSIONS: ST36 MA showed anti-inflammatory and analgesic effects as well as inhibition of immune cell communication networks in inflamed joints of AIA rats. Inhibiting the polarization of macrophages to the M1-phenotype in inflamed joints may be one of the key mechanisms of MA anti-inflammatory action. This research highlighted a systematic research paradigm for investigating mechanisms of acupuncture action.

Construction of a Ginseng Root-Meristem Sensor and a Sensing Kinetics Study on the Main Nitrogen Nutrients.

Severe continuous cropping obstacles exist in ginseng cultivation. In order to assess these obstacles, a "sandwich" ginseng root tissue sensor was developed for the kinetic determination of five nitrogen nutrients. The results showed that the sensing parameters of the sensor reached an ultrasensitive level (limit of detection up to 5.451 × 10-24 mol/L) for the five nitrogen nutrients, and exhibited good stability and reproducibility. In the order of two-, four-, and six-year-old ginseng plants, the sensitivity to inorganic nitrogen nutrients (sodium nitrate and urea) showed an upward trend following an initial decline (the interconnected allosteric constant Ka values acted as the parameter). The fluctuations in sensor sensitivity to organic nitrogen nutrients, specifically nucleotides (disodium inosinate and disodium guanylate), were relatively small. The sensor sensitivity of two-, four-, and six-year-old ginseng plants to sodium glutamate was 9.277 × 10-19 mol/L, 6.980 × 10-21 mol/L, and 5.451 × 10-24 mol/L, respectively. Based on the survival rate of the seedlings and mortality rate of the ginseng in each age group, a Hardy-Weinberg equilibrium analysis was carried out. The results showed that the sensing ability of the root system to sodium glutamate may be an important factor affecting its survival under continuous cropping obstacles with increasing age.

The investigation of detection and sensing mechanism of spicy substance based on human TRPV1 channel protein-cell membrane biosensor.

The transient receptor potential vanilloid 1 (TRPV1) is a key target for the spicy taste sensor and analgesic drug development. However, the human TRPV1-associated signaling remains to be obscure. In this study, we overexpressed human TRPV1 (hTRPV1) in HEK293T cells and explored its signaling activated by spicy substances. A cell membrane biosensor was constructed by using the cells highly expressed hTRPV1 through a layer-by-layer assembly. Our results showed that the activation constants by capsaicin, allicin and sanshool, the active components of chili pepper, garlic and mountain pepper, were Ka, capsaicin = 3.5206 × 10-16 mol/L, Ka, allicin = 5.0227 × 10-15 mol/L, Ka, sanshool = 1.7832 × 10-15 mol/L. Obviously, the order of the sensitivity mediated by hTRPV1 was capsaicin > sanshool > allicin. The affinity values of the three spicy substances with hTRPV1 analyzed by molecular docking simulation also displayed the same law. Most importantly, some amide bonds and their similar groups and even benzene rings of spicy compounds were fund to be critical in the spicy sensing process. In addition, Glu570 in the active pocket of hTRPV1 plays an important role in identifying spicy substances. The elucidation of the detailed mechanism mediated by hTRPV1 in spicy sensing will lay a theoretical foundation to design rational strategies for screening of potential analgesics.

Applying Complex Network and Cell-Cell Communication Network Diagram Methods to Explore the Key Cytokines and Immune Cells in Local Acupoint Involved in Acupuncture Treating Inflammatory Pain.

Manual acupuncture (MA) can effectively treat a variety of diseases, but its specific mechanism remains unclear. The "acupoint network" activated by MA participates in MA signal transduction, in which immune-related cells and cytokines play an important role. However, which cells and cytokines in the acupoint have changed after MA? What is the network relationship between them? Which cells and cytokines may play the most important role in MA effect? These problems are unclear. In this study, on the basis of affirming the analgesic, detumescence, and anti-inflammatory effect of MA, the concentration of 24 cytokines in ST36 acupoint in rats with inflammatory pain after MA treatment was detected by multiplex immunoassay technology. Then, using statistical and complex network and cell-cell communication (CCC) network diagram method to analyze the detected data depicts the network relationship between the cytokines and related cells objectively and establishes cytokine connection network and CCC network, respectively. The results showed that MA reinforced communication intensity between cells while reducing the overall correlation intensity. On this basis, the key cytokines and key cells at three MA time-points were screened out, cytokines IL-6, MCP-1, fibroblasts cell, and monocyte macrophage screened by the three methods at three MA time-points might be the key cytokines or key cells. After that, we detected the macrophages in ST36 acupoint by flow cytometry and immunofluorescence and found that the relative amount of macrophages increased significantly after MA, especially the macrophage of the dermis of skin. This study provided a basis for revealing the initiated mechanism of MA effect.

Study on FcγRn Electrochemical Receptor Sensor and Its Kinetics.

Neonatal γ-immunoglobulin (IgG) Fc receptor (FcγRn) is a receptor that transports IgG across the intestinal mucosa, placenta, and mammary gland, ensuring the balance of IgG and albumin in the body. These functions of FcγRn depend on the intracellular signal transduction and activation caused by the combination of its extracellular domain and IgG Fc domain. Nevertheless, there are still no kinetic studies on this interaction. Consequently, in the present study, we successfully constructed the human FcγRn (hFcγRn) electrochemical receptor sensor. The signal amplification system formed by chitosan nanogold-hFcγRn protein and horseradish peroxidase was used to simulate the cell signal amplification system in vivo, and the kinetic effects between seven IgG and hFcγRn receptors from different species were quantitatively measured. The results showed that the interaction of these seven IgGs with hFcγRn was similar to the catalytic kinetics of enzyme and substrate, and there was a ligand-receptor saturation effect. The order of the interconnect allosteric constants (Ka), which is similar to the Michaelis constant (Km), was human IgG < bovine IgG < horse IgG < rabbit IgG < sheep IgG < donkey IgG < quail IgY. The results showed that hFcγRn had the strongest ability to transport human IgG, which was consistent with the evolution of the system. Therefore, our hFcγRn electrochemical receptor sensor can be used to measure and evaluate the interconnected allosteric network. It is also an essential parameter of the interaction between hFcγRn and different IgGs and, thus, provides a new detection and evaluation method for immunoemulsion, therapeutic monoclonal antibody therapy, heteroantibody treatment, and half-life research.

Development of a new and simple method for the detection of histidine-tagged proteins based on thionine-chitosan/gold nanoparticles/horseradish peroxidase.

In the current study, an electrochemical biosensing signal amplification system was utilized with thionine-chitosan-gold nanoparticles (Chit-GNPs) that absorbed horseradish peroxidase (HRP) and anti-His tagged protein monoclonal antibody derived from Balb/c mice. In addition, transmission electron microscopy (TEM) was used to characterize the nanogold solution and atomic force microscopy (AFM) was used to characterize the sensor assembly. To evaluate the quality of the immunosensor, the amperometric I-t curve method was applied to determine His-IL23 in PBS. The results indicated that the response current exhibited an optimal linear correlation with the His-IL23 concentration that ranged from 0.01 to 103 ng/ml. The lowest detection limit was noted at 3.3 pg/ml (S/N = 3). The linear equation was deduced as follows: △I = 0.02lgC + 0.037 (R2 = 0.9628). Moreover, it was validated with high sensitivity, reproducibility and rapid response. Apparently, the immunosensor may be a very useful tool for the detection and quantification of His-tagged proteins. In addition, the signal amplification system can be used for the preparation of other immunosensors and to assist in bioassays.

Baked Bread Enhances the Immune Response and the Catabolism in the Human Body in Comparison with Steamed Bread.

It is unclear whether different processing methods change the biological functions of foods and how these functions are evaluated in the human body. Here, steamed bread and baked bread, the traditional staple foods in China and many Western countries, were made by steaming and baking, respectively, using one piece of fermented wheat dough and then consumed by 16 healthy young volunteers. By detecting 38 cytokines, 12 metabolic enzymes, glucose, lactate, and nicotinamide adenine dinucleotide (NADH) in the serum, the cytokine network and central metabolic pathway network were investigated to compare the effects of the two staple foods on immunity and metabolism. Compared with steamed bread, baked bread increased (p < 0.05) concentrations of fractalkine and macrophage-derived chemokine, decreased (p < 0.05) the concentration of interleukin-1RA, increased (p < 0.05) the expression level of phosphofructokinase, and decreased (p < 0.05) the expression level of glucose-6-phosphate dehydrogenase in the serum. Two network analyses indicated that baked bread, as compared to the steamed bread, enhanced communication between immune cells, increased catabolism, and decreased anabolism. Further, a correlation analysis of cytokines and metabolic enzymes suggested that the two staple foods may affect metabolism by regulating the secretion of cytokines. These findings highlight how the same raw food material processed by different methods may have different impacts on immunity and metabolism in humans.

Intercellular wireless communication network between mother and fetus in rat pregnancy-a study on directed and weighted network.

BACKGROUND: The maternal body forms a wireless communication system with the embryo through the blood circulation system. Obviously, direct sampling from early embryos is damaging. Therefore, we detected changes in the concentrations of 30 signaling molecules in serum from the pregnant rats at the 14 time points, then the intercellular wireless communication network was established, to explore the regularity of signal communication between mother and fetus. METHOD OF STUDY: We used liquid chip scanning technology to detect 30 signal molecules at 14 time points. Statistical analysis of the data yielded significant change signal molecules. According to the secretory cells and effector cells involved in signal molecules, the communication network of different stages were drawn by using Biograph software. RESULTS: The process could be divided into 4 periods including early, middle, late pregnancy, and postpartum. In early pregnancy, two immune transformations occur: (a) interleukin-10 (IL-10), interleukin-13 (IL-13) increased at day 5, which promoted immunoglobin G (IgG) secretion, provided protection through the neonatal Fc receptor for IgG (FcγRn) crossing the placental barrier to reach the embryo, achieved T helper 1 (Th1) transformation into T helper 2 (Th2), reduced maternal innate and cellular immunity, and prevented fetal abortion; (b) the fetal heart was fully developed at day 7, with circulatory system established, which provided a platform for intercellular information exchange. The second transformation corresponded to the maternal immune system providing signaling molecules for the embryo to promote Th2 transformation into Th1, thus activating embryonic innate immune cells, and enabling antibody-mediated immune recognition, response and protection. Days 9-19 was a stable period. After 21 days of pregnancy, the maternal body prepared for delivery. The characteristic signaling molecules in the process were monocyte chemotactic protein-1 (MCP-1), IL-10, IL-13, IL-1ɑ, interferon-inducible protein-10 (IP-10), regulated upon activation normal T cell expressed and secreted (RANTES), thyroid stimulating hormone (TSH), IL-2, IL-6, IL-12p70 and IL-18. CONCLUSION: Detection of concentration changes of the factors in maternal serum could provide a tool for monitoring, diagnosis, prediction and treatment of embryo differentiation, development and health.

A bombykol electrochemical receptor sensor and its kinetics.

This study aimed to explore the interaction between bombykol and BmOR1 and also provide a paradigm for agroforestry pest control. The electrochemical biosensor signal amplification system was used: nanogold with horseradish peroxidase. An electrochemical bilayer nanogold membrane receptor sensor was developed using the following schemes and processes: twice self-assembly of nanogold and succeeding absorption of Bombyx mori olfactory receptor 1 (BmOR1); sex pheromone-binding protein; spectral scanning and transmission electron microscope to characterize nanogold sol; and atomic force microscope, cyclic voltammetry, and AC impedance methods to characterize individual processes of sensor assembly. The amperometric I-T curve was adopted to measure the response current upon interaction with different concentrations of bombykol (diluted in phosphate-buffered saline) and BmOR1. The results demonstrated the receptor-ligand interaction pattern, which was similar to enzymatic reaction kinetics, with the activation constant Ka of up to 8.57 × 10-20 mol/L and signal magnification of about 10,000-fold. In this study, the simulation of intracellular receptor signaling cascade by an electrochemical signal amplification system helped in directly measuring BmOR1-bombykol ligand interaction and exploring the kinetics after the self-assembly of BmOR1 on the biosensor. It provided a novel platform for future studies on receptor-ligand interaction.

Preliminary research on the receptor-ligand recognition mechanism of umami by an hT1R1 biosensor.

The aim of this study was to determine the interaction between the human umami receptor hT1R1 and a ligand while avoiding the cross-talk among various signal pathways in cells. The hT1R1 was modified and mounted onto a signal amplification system on a glassy carbon electrode surface, and the response current towards four umami ligands (sodium glutamate (MSG), disodium inosinate (IMP), disodium guanylate (GMP), and disodium succinate (SUC)) was measured. The allosteric constants of the receptor-ligand interaction were calculated by the method of sensing kinetics, and the results indicated that the sensing ability of hT1R1 towards the abovementioned four ligands was as follows: GMP > MSG > IMP > SUC. After the analysis of the molecular structure and simulation through the molecular docking model, we have found that hT1R1 is essentially a recognition receptor for the nitrogen signal in the body, and it may recognize the umami substance through its amino group. The new research method developed in this study shows promising application in the mechanism study of signal transduction and drug screening.

The investigation of allosteric regulation mechanism of analgesic effect using SD rat taste bud tissue biosensor.

In this study, a taste bud tissue biosensor was prepared by a starch-sodium alginate cross-linking fixation method. Capsaicin was used as a TRPV1 noxious ion channel activator to investigate the antagonism kinetics of six different substances on capsaicin. The results showed that capsazepine, AMG517, loureirin B, and tetrahydropalmatine were all competitive allosteric regulatory ligands for capsaicin, while aconitine and anandamide were mixed allosteric regulatory ligand that combines non-competition and competition effect. Through analyzing the kinetic parameters of capsaicin and its competitive allosteric regulatory ligands, and comparing the structures between spicy substances and endocannabinoids, the importance of amide groups and similar groups in the allosteric regulation of cannabinoids (CB) receptors and analgesic mechanism was elucidated. This indicates that vanilloid activators turn on the TRPV1 ion channel to transmit only pain and other nociceptive signals, while capsaicin and its competitive ligands are capable of activating intracellular G protein/PI3K/PIP2 signaling pathways by binding to endogenous cannabinoid receptors, and then increase intracellular PIP2 levels (the increasing PIP2 can competitively replace capsaicin and other vanilloid activators), thereby closing the TRPV1 channel and exerting the analgesic effect. The elucidation of this mechanism of pain and analgesia will lay the theoretical foundation and new ideas for investigating nociceptive signal and screening potential analgesic drugs.