Cell wall invertase 3 plays critical roles in providing sugars during pollination and fertilization in cucumber.

In plants, pollen-pistil interactions during pollination and fertilization mediate pollen hydration and germination, pollen tube growth, and seed set and development. Cell wall invertases (CWINs) help provide the carbohydrates for pollen development; however, their roles in pollination and fertilization have not been well established. In cucumber (Cucumis sativus), CsCWIN3 showed the highest expression in flowers, and we further examined CsCWIN3 for functions during pollination to seed set. Both CsCWIN3 transcript and CsCWIN3 protein exhibited similar expression patterns in the sepals, petals, stamen filaments, anther tapetum, and pollen of male flowers, as well as in the stigma, style, transmitting tract, and ovule funiculus of female flowers. Notably, repression of CsCWIN3 in cucumber did not affect the formation of parthenocarpic fruit but resulted in an arrested growth of stigma integuments in female flowers and a partially delayed dehiscence of anthers with decreased pollen viability in male flowers. Consequently, the pollen tube grew poorly in the gynoecia after pollination. In addition, CsCWIN3-RNA interference plants also showed affected seed development. Considering that sugar transporters could function in cucumber fecundity, we highlight the role of CsCWIN3 and a potential close collaboration between CWIN and sugar transporters in these processes. Overall, we used molecular and physiological analyses to determine the CsCWIN3-mediated metabolism during pollen formation, pollen tube growth, and plant fecundity. CsCWIN3 has essential roles from pollination and fertilization to seed set but not parthenocarpic fruit development in cucumber.

A hsa_circ_001726 axis regulated by E2F6 contributes to metastasis of hepatocellular carcinoma.

BACKGROUND: CircRNAs participate in the development of hepatocellular carcinoma (HCC). This work aims to explore the key tumor promoting circRNA as a gene therapy target. METHODS: The differentially expressed gene circRNAs in HCC tumor tissues was identified by mining GSE121714 dataset. EdU staining, wound healing, transwell invasion assay, TUNEL staining and western blotting examined proliferation, migration, invasion, apoptosis and epithelial mesenchymal transition (EMT). Xenograft mouse model and orthotopic transplantation tumor mouse model were constructed to verify the role of hsa_circ_001726 in growth and metastasis of HCC. The relationship among CCT2, E2F6, hsa_circ_001726, miR-671-5p and PRMT9 was identified by RNA-fluorescence in situ hybridization, luciferase reporter assay and RNA Immunoprecipitation. RESULTS: Eleven differentially expressed circRNAs were found in HCC tumors. Among them, hsa_circ_001726 was highly expressed in HCC tumors and cells, which was transcribed from CCT2. As a transcription factor of CCT2, E2F6 knockdown inactivated CCT2 promoter and reduced hsa_circ_001726 expression. Moreover, hsa_circ_001726 elevated PRMT9 expression by sponging miR-671-5p, and then activated Notch signaling pathway. Additionally, hsa_circ_001726 deficiency repressed malignant phenotypes of HCC cells, including proliferation, migration, invasion, EMT and apoptosis. In vivo, hsa_circ_001726 deficiency reduced tumor growth and lung metastasis of HCC in xenograft mouse models and orthotopic transplantation tumor mouse models. CONCLUSION: Hsa_circ_001726 functioned as an oncogene in HCC, which was derived from CCT2 and regulated by E2F6. Hsa_circ_001726 elevated PRMT9 expression by sponging miR-671-5p, and then activated Notch signaling pathway, thereby accelerating malignant phenotypes of HCC. Therefore, targeting hsa_circ_001726 may be a new avenue for HCC treatment.

Identification and analysis of MAPK cascade gene families of Camellia oleifera and their roles in response to cold stress.

BACKGROUND: Low-temperature severely limits the growth and development of Camellia oleifera (C. oleifera). The mitogen-activated protein kinase (MAPK) cascade plays a key role in the response to cold stress. METHODS AND RESULTS: Our study aims to identify MAPK cascade genes in C. oleifera and reveal their roles in response to cold stress. In our study, we systematically identified and analyzed the MAPK cascade gene families of C. oleifera, including their physical and chemical properties, conserved motifs, and multiple sequence alignments. In addition, we characterized the interacting networks of MAPKK kinase (MAPKKK)-MAPK kinase (MAPKK)-MAPK in C. oleifera. The molecular mechanism of cold stress resistance of MAPK cascade genes in wild C. oleifera was analyzed by differential gene expression and real-time quantitative reverse transcription-PCR (qRT-PCR). CONCLUSION: In this study, 21 MAPKs, 4 MAPKKs and 55 MAPKKKs genes were identified in the leaf transcriptome of C. oleifera. According to the phylogenetic results, MAPKs were divided into 4 groups (A, B, C and D), MAPKKs were divided into 3 groups (A, B and D), and MAPKKKs were divided into 2 groups (MEKK and Raf). Motif analysis showed that the motifs in each subfamily were conserved, and most of the motifs in the same subfamily were basically the same. The protein interaction network based on Arabidopsis thaliana (A. thaliana) homologs revealed that MAPK, MAPKK, and MAPKKK genes were widely involved in C. oleifera growth and development and in responses to biotic and abiotic stresses. Gene expression analysis revealed that the CoMAPKKK5/CoMAPKKK43/CoMAPKKK49-CoMAPKK4-CoMAPK8 module may play a key role in the cold stress resistance of wild C. oleifera at a high-elevation site in Lu Mountain (LSG). This study can facilitate the mining and utilization of genetic resources of C. oleifera with low-temperature tolerance.

Dynamics studies for the multi-well and multi-channel reaction of OH with C2H2 on a full-dimensional global potential energy surface.

The C2H2 + OH reaction is an important acetylene oxidation pathway in the combustion process, as well as a typical multi-well and multi-channel reaction. Here, we report an accurate full-dimensional machine learning-based potential energy surface (PES) for the C2H2 + OH reaction at the UCCSD(T)-F12b/cc-pVTZ-F12 level, based on about 475 000 ab initio points. Extensive quasi-classical trajectory (QCT) calculations were performed on the newly developed PES to obtain detailed dynamic data and analyze reaction mechanisms. Below 1000 K, the C2H2 + OH reaction produces H + OCCH2 and CO + CH3. With increasing temperature, the product channels H2O + C2H and H + HCCOH are accessible and the former dominates above 1900 K. It is found that the formation of H2O + C2H is dominated by a direct reaction process, while other channels belong to the indirect mechanism involving long-lived intermediates along the reaction pathways. At low temperatures, the C2H2 + OH reaction behaves like an unimolecular reaction due to the unique PES topographic features, of which the dynamic features are similar to the decomposition of energy-rich complexes formed by C2H2 + OH collision. The classification of trajectories that undergo different reaction pathways to generate each product and their product energy distributions were also reported in this work. This dynamic information may provide a deep understanding of the C2H2 + OH reaction.

Exosomal lncRNA HEIH, an essential communicator for hepatocellular carcinoma cells and macrophage M2 polarization through the miR-98-5p/STAT3 axis.

Part of human long noncoding RNAs (lncRNAs) has been elucidated to play an essential role in the carcinogenesis and progression of hepatocellular carcinoma (HCC), a type of malignant tumor with poor outcomes. Tumor-derived exosomes harboring lncRNAs have also been implicated as crucial mediators to orchestrate biological functions among neighbor tumor cells. The recruitment of tumor-associated macrophages (TAMs) exerting M2-like phenotype usually indicates the poor prognosis. Yet, the precise involvement of tumor-derived lncRNAs in cross-talk with environmental macrophages has not been fully identified. In this study, we reported the aberrantly overexpressed HCC upregulated EZH2-associated lncRNA (HEIH) in tumor tissues and cell lines was positively correlated with poor prognosis, as well as enriched exosomal HEIH levels in blood plasma and cell supernatants. Besides, HCC cell-derived exosomes transported HEIH into macrophages for triggering macrophage M2 polarization, thereby in turn promoting the proliferation, migration, and invasion of HCC cells. Mechanistically, HEIH acted as a miRNA sponge for miR-98-5p to up-regulate STAT3, which was then further verified in the tumor xenograft models. Collectively, our study provides the evidence for recognizing tumor-derived exosomal lncRNA HEIH as a novel regulatory function through targeting miR-98-5p/STAT3 axis in environmental macrophages, which may shed light on the complicated tumor microenvironment among tumor and immune cells for HCC treatment.

Prediction of Hydrogen Abstraction Rate Constants at the Allylic Site between Alkenes and OH with Multiple Machine Learning Models.

Hydrogen abstraction reactions between hydrocarbons and hydroxyl radicals are important propagation steps in radical chain reactions, playing a crucial role in atmospheric and combustion chemistry. This study focuses on predicting the rate constants of the prototype of the reaction class of hydrogen abstractions, i.e., the primary allylic hydrogen abstraction from alkenes by the OH radical, via utilizing machine learning (ML) methods. Specifically, three distinct models, namely, feedforward neural network (FNN), support vector regression (SVR), and Gaussian process regression (GPR), have been employed to construct robust ML models for prediction. We proposed a novel strategy that seamlessly integrates descriptor preprocessing, a pairwise linear correlation analysis, and a model-specific Wrapper method to enhance the effectiveness of the feature selection procedure. The selected feature subset was then evaluated using two cross-validation techniques, i.e., leave-one-group-out (LOGO) and K-fold cross-validations, for each of the three ML models (FNN, SVR, and GPR) to assess their predictive and stability performance. The results demonstrate that the FNN model, trained with seven representative descriptors, achieves superior performance compared to the other two methods. For the FNN model, the average percentage deviation is 39.06% on the test set by performing LOGO cross-validation, while the repeated 10-fold cross-validation achieves a percentage prediction deviation of 19.1%. Two larger alkenes with 10 carbons were selected to test the prediction performance of the trained FNN model on primary allylic hydrogen abstraction. Results show that the kinetic predictions follow well the modified three-parameter Arrhenius equation, indicating the reliable performance of FNN in predicting hydrogen abstraction rate constants, especially for the primary allylic site. Hopefully, this work can shed useful light on the application of ML in generating chemical kinetic parameters of hydrocarbon combustion chemistry.

Insight into the Kinetics of Isomerization and ß-Scission Reactions Following H-Abstraction in 2-Pentanone Combustion.

2-Pentanone is a significant carbon-neutral fuel. To better understand 2-pentanone combustion, the CCSD(T)/CBS method was used to calculate the potential energy surfaces (PES) for H-abstraction, isomerization, and ß-scission reactions of 2-pentanone. Rate constants for the above reactions were calculated by the MESS employing conventional transition state theory (CTST) at 300-2000 K. The findings reveal adherence to the Evans-Polanyi principle in the H-abstraction reactions of 2-pentanone by H atoms. Specifically, the 2-site shows more competitive kinetics due to having the lowest energy barrier of 7.8 kcal/mol. The 4-position has the highest energy barrier, making the reaction difficult to occur. In the subsequent reactions, the breaking of C-H bonds is most competitive at low temperatures. In particular, the H transfer from INT1 to INT3 has a potential well height of 24.8 kcal/mol. The ß-scission reactions become the main pathway for the depletion of pentanone radicals with increasing temperature. This study significantly extends the kinetic parameters of 2-pentanone combustion over a wide range of temperatures and pressures, which is expected to contribute to the development of 2-pentanone combustion models.

The impact of internet health information seeking on COVID-19 vaccination behavior in China.

BACKGROUND: Amid the COVID-19 pandemic, the significance of vaccination has been emphatically underscored. As the foremost and pivotal measure for preventing COVID-19 transmission, the COVID-19 pneumonia vaccine plays an instrumental role in the global response to this infectious respiratory disease. However, COVID-19 vaccination coverage remains challenging in low- and middle-income countries and regions. Studies have found that frequent seeking to health information is also associated with healthier behaviors, but these studies have not yet focused on the impact of Internet health information seeking on individual vaccination and the mechanism of this effect. METHODS: Data were obtained from the Chinese General Social Survey (CGSS) conducted in 2021, which included 7,218 individual samples. This study used COVID-19 vaccination as indicators for the health of interest, the key independent variable is Internet health information seeking. This study tried to analyze the impact of Internet health information seeking on COVID-19 vaccination using an OLS model and PSM method. RESULTS: The results show that Internet health information seeking has a significant positive impact on COVID-19 vaccination. This result passed a series of robustness tests. The mechanism analysis indicated that compared to non-Internet health information seeking individuals, Internet health information seeking individuals could know the superior advantages of vaccination and the potential for immunization through this method. And individuals who use Internet to seeking health information are more likely to acknowledge the constructive impact of online information on health behavior. This helps to explain why Internet health information seeking individuals have a higher rate of COVID-19 vaccination. CONCLUSIONS: This study delves into the influence of Internet health information seeking on individual COVID-19 vaccination within the digital era. The outcomes underscore that Internet-mediated seeking vaccine information holds the potential to bolster individuals' comprehension of vaccination benefits and foster increased acceptance of such information.

Arginine methylation of HSPA8 by PRMT9 inhibits ferroptosis to accelerate hepatitis B virus-associated hepatocellular carcinoma progression.

BACKGROUND: The hepatitis B virus X (HBx) protein is an established cause of hepatitis B virus (HBV)-induced hepatocellular carcinoma (HCC). Whether arginine methylation regulates ferroptosis involved in HBx-induced HCC progression has not been reported. This study aimed to explore whether HBx-regulated protein arginine methyltransferase 9 (PRMT9) mediates the involvement of ferroptosis in the development of HCC. METHODS AND RESULTS: HBx inhibited ferroptosis through promoting PRMT9 expression in HCC cells. PRMT9 suppressed ferroptosis to accelerate HCC progression in vivo. PRMT9 targeted HSPA8 and enhanced arginine methylation of HSPA8 at R76 and R100 to regulate ferroptosis in HCC. HSPA8 overexpression altered the transcriptome profile of HepG2 cells, in particular, ferroptosis and immune-related pathways were significantly enriched by differentially expressed genes, including CD44. HSPA8 overexpression up-regulated CD44 expression and knockdown of CD44 significantly reversed the inhibition of ferroptosis caused by PRMT9 overexpression. CONCLUSIONS: In conclusion, HBx/PRMT9/HSPA8/CD44 axis is a vital signal pathway regulating ferroptosis in HCC cells. This study provides new opportunities and targets for the treatment of HBV-induced HCC.

Fluorescent Mechanism and Optical Switching of Fluorophore-Free Organogel.

Fluorophore is essential to enable the fluorescence and optical switching in most of polymer gels. Herein, a novel concept is proposed to develop a fluorophore-free organogel that is capable of generation of blue fluorescence at transparent state, while it proceeds with optical switching from blue to purple upon phase transition into non-transparent state in water. Ammonium persulphate (APS) is utilized to initiate co-crosslinking of hydrophilic acrylamide (AM) and hydrophobic 2,2,3,4,4,4-hexafluorobutyl acrylate (HFBA) in dimethyl sulphoxide (DMSO) to give organogel of AM@HFBA at 80 °C. APS decomposes to generate not only radicals, but also ammonium bisulfate (ABS) during heating, in which the elements of ABS produce blue fluorescence (λ = 440 nm), excited by UV light (λ = 365 nm). After the phase transition into non-transparent state, light-reflection behavior at the phase-transitioned surface triggers the optical switching of the organogel from blue to purple under UV light. The optical switching is patternable and reversible, which enables the applications of organogel of AM@HFBA for information encoding/encryption and optical-switchable soft actuators. This method is universal to achieve fluorescence and optical switching for free radical polymerization-based gel systems as long as they are initiated by APS in DMSO.

Thermally Reversible Cross-Linking of Recyclable Polyamide Materials Based on Schiff Base and Diels-Alder Reactions.

Recyclability of cross-link polymer materials is essential to alleviate environmental pollution caused by discarded or damaged polymers. Herein, a facile method for producing recyclable polyamide materials is developed. Linear polymer chains are constructed by Schiff base reaction between glutaraldehyde (GD) and furandiamine (FD). The linear polymer chains are crosslinked by bismaleimide (BM) to give rise to polyamide material, named GF-BMs. The resulting GF-BMs polyamide material possesses strong tensile strength (78 MPa) and good solvent resistance from room temperature to 135 °C. Especially, the thermally reversible Diels-Alder covalent bonds and dynamic imine bonds in the polymer network have a synergistic effect on fast-reprocessing, self-healing, and recyclability, which provides a new idea for recyclable materials.

A theoretical study on the effect of C60 particles on the growth of coronene radical based on HACA pathway.

Soot is a pollutant caused by combustion and is harmful to the environment and human health. Polycyclic aromatic hydrocarbons (PAHs) are considered the precursors of soot, thus exploring the growth mechanism of PAHs is conducive to reducing soot release. The mechanism by which a pentagonal carbon ring triggers the formation of curved PAHs has been demonstrated but studies on subsequent growth of soot are rare due to the lack of a suitable model. Buckminsterfullerene (C60), as one of the products from incomplete combustion under specific conditions, is similar in structure to soot particles with a surface that can be treated as curved PAH. Coronene (C24H12) is a typical seven-membered fused-ring PAH. In this study, C60 was employed as a substitute for soot particles to investigate its effect on coronene growth reaction based on the hydrogen-abstraction/acetylene-addition (HACA) mechanism. Density functional theory (DFT) at the M062X/6-31G(d,p) level was adopted to investigate the potential energy surfaces (PESs) for these reactions. The high-pressure limiting rate constants for the relevant reactions were obtained based on transition state theory. The calculated results indicate that C60 is easily hydrogenated, providing new pathways for coronene growth. Soot particles have a certain effect on the growth of PAHs. This study provides favorable support for further understanding the effect of soot on the growth pathway of PAHs.

Directional Manipulation of Electron Transfer by Energy Level Engineering for Efficient Cathodic Oxygen Reduction.

Electron transfer plays an important role in determining the energy conversion efficiency of energy devices. Nitrogen-coordinated single metal sites (M-N4) materials as electrocatalysts have exhibited great potential in devices. However, there are still great difficulties in how to directionally manipulate electron transfer in M-N4 catalysts for higher efficiency. Herein, we demonstrated the mechanism of electron transfer being affected by energy level structure based on classical iron phthalocyanine (FePc) molecule/carbon models and proposed an energy level engineering strategy to manipulate electron transfer, preparing high-performance ORR catalysts. Engineering molecular energy level via modulating FePc molecular structure with nitro induces a strong interfacial electronic coupling and efficient charge transfer from carbon to FePc-ß-NO2 molecule. Consequently, the assembled zinc-air battery exhibits ultrahigh performance which is superior to most of M-N4 catalysts. Energy level engineering provides a universal approach for directionally manipulating electron transfer, bringing a new concept to design efficient and stable M-N4 electrocatalyst.

Genome-wide association analysis reveals a novel QTL CsPC1 for pericarp color in cucumber.

BACKGROUND: Cucumber is an important melon crop in the world, with different pericarp colors. However, the candidate genes and the underlying genetic mechanism for such an important trait in cucumber are unknown. In this study, a locus controlling pericarp color was found on chromosome 3 of cucumber genome. RESULTS: In this study, the light green inbred line G35 and the dark green inbred line Q51 were crossed to produce one F2 population. Consequently, we identified a major locus CsPC1 (Pericarp color 1). Next, we mapped the CsPC1 locus to a 94-kb region chromosome 3 which contains 15 genes. Among these genes, Csa3G912920, which encodes a GATA transcription factor, was expressed at a higher level in the pericarp of the NIL-1334 line (with light-green pericarp) than in that of the NIL-1325 line (with dark-green pericarp). This study provides a new allele for the improvement of cucumber pericarp color. CONCLUSION: A major QTL that controls pericarp color in cucumber, CsPC1, was identified in a 94-kb region that harbors the strong candidate gene CsGATA1.

Performance enhancement of an N-polar nitride deep-ultraviolet light-emitting diode with compositionally graded p-AlGaN.

Highly efficient hole injection into a AlGaN quantum well is desirable in nitride deep-ultraviolet light-emitting diodes (DUV LEDs) for high optical performance. In this work, we report the observation of enhanced hole injection in the N-polar AlGaN-based DUV LEDs with compositionally graded p-AlxGa1-xN (x = 0.65-0.75) by simulation and show that the enhanced hole injection leads to the increase of the peak internal quantum efficiency (IQE) and the significant reduction of efficiency droop at high current density. This work might activate researchers to realize the efficient polarization p-type doping of N-polar AlGaN with high Al content and thus to achieve high performance DUV LEDs experimentally.

Performance enhancement of nitrogen-polar GaN-based light-emitting diodes prepared by metalorganic chemical vapor deposition.

Nitrogen-polar (N-polar) III-nitride materials have great potential for application in long-wavelength light-emitting diodes (LEDs). However, the poor quality of N-polar nitride materials hinders the development of N-polar devices. In this work, we report the enhanced performance of N-polar GaN-based LEDs with an optimized InGaN/GaN double quantum well (DQW) structure grown by metalorganic chemical vapor deposition. We improved the quality of the N-polar InGaN/GaN DQWs by elevating the growth temperature and introducing hydrogen as the carrier gas during the growth of the quantum barrier layers. N-polar LEDs prepared based on the optimized InGaN/GaN DQWs show significantly enhanced (by over 90%) external quantum efficiency and a weakened droop effect compared with a reference LED. More importantly, the optimized N-polar DQWs show a significantly longer emission wavelength than Ga-polar DQWs grown at the same QW growth temperature. This work provides a feasible approach to improving the quality of the N-polar InGaN/GaN QW structure, and it will promote the development of N-polar GaN-based long-wavelength light-emitting devices for micro-LED displays.

Fine mapping of a novel QTL CsFSG1 for fruit skin gloss in cucumber (Cucumis sativus L.).

Cucumber (Cucumis sativus L.) is an important vegetable crop that is popular with many people. Peel gloss is a highly valued external quality trait that affects the market value of cucumbers, and it directly influences the purchasing psychology of consumers. Nonetheless, the candidate genes and underlying genetic mechanism for this important cucumber trait are not well understood. In this study, we successfully mapped a fruit skin gloss QTL interval to chromosome 3 (26.04-26.14 Mb) using BSA and GWAS methods. Among the eleven candidate genes in the interval, the cytochrome P450 family gene CsCYP86B1 was identified as the candidate for control of fruit skin gloss in cucumber. The expression of CsCYP86B1 in 0-day fruit skin was significantly lower in the low-gloss isogenic line NIL-1334 than in the high-gloss isogenic line NIL-1325. Our findings provide new insights for improving fruit skin gloss in cucumber breeding. Supplementary Information: The online version contains supplementary material available at 10.1007/s11032-022-01291-y.

Multiple Responsiveness of Polymer Actuators.

To improve photosensitivity of polymer materials, an effective protocol is to increase the content of photosensitive moieties. However, most of photosensitive units are toxic. The high content is not acceptable for real-world applications. Therefore, achieving photosensitive polymers with low content of photosensitive moieties but maintaining their photosensitivity remains a challenge. Herein, a protocol is reported to address this challenge by combining photosensitive monomers with hygroscopic monomers, where the synergistic action of two types of functional moieties can improve the photosensitivity of polymer network. Upon exposure to light irradiation, the polymer can be driven by not only the structural isomerization of photosensitive units, but also the photothermal effects. This synergistic effect results in the polymer-based soft actuators capable of showing rapid response to light even at the extremely-low content of photosensitive moieties of 2.6 mol.%. Importantly, the combination of hygroscopic and photosensitive moieties provides polymer with multiple responsiveness including acidochromism, humidity responsiveness, photohardening, shape memory, photochromism, and in situ swelling, making it useful in sensing systems, information transmission, and artificial muscles.

Interfacial engineering of cobalt sulfide/graphene hybrids for highly efficient ammonia electrosynthesis.

Electrocatalytic N2 reduction reaction (NRR) into ammonia (NH3), especially if driven by renewable energy, represents a potentially clean and sustainable strategy for replacing traditional Haber-Bosch process and dealing with climate change effect. However, electrocatalytic NRR process under ambient conditions often suffers from low Faradaic efficiency and high overpotential. Developing newly regulative methods for highly efficient NRR electrocatalysts is of great significance for NH3 synthesis. Here, we propose an interfacial engineering strategy for designing a class of strongly coupled hybrid materials as highly active electrocatalysts for catalytic N2 fixation. X-ray absorption near-edge spectroscopy (XANES) spectra confirm the successful construction of strong bridging bonds (Co-N/S-C) at the interface between CoS x nanoparticles and NS-G (nitrogen- and sulfur-doped reduced graphene). These bridging bonds can accelerate the reaction kinetics by acting as an electron transport channel, enabling electrocatalytic NRR at a low overpotential. As expected, CoS2/NS-G hybrids show superior NRR activity with a high NH3 Faradaic efficiency of 25.9% at -0.05 V versus reversible hydrogen electrode (RHE). Moreover, this strategy is general and can be extended to a series of other strongly coupled metal sulfide hybrids. This work provides an approach to design advanced materials for ammonia production.

Short-chain fatty acids contribute to neuropathic pain via regulating microglia activation and polarization.

Microglia activation and subsequent pro-inflammatory responses play a key role in the development of neuropathic pain. The process of microglia polarization towards pro-inflammatory phenotype often occurs during neuroinflammation. Recent studies have demonstrated an active role for the gut microbiota in promoting microglial full maturation and inflammatory capabilities via the production of Short-Chain Fatty Acids (SCFAs). However, it remains unclear whether SCFAs is involved in pro-inflammatory/anti-inflammatory phenotypes microglia polarization in the neuropathic pain. In the present study, chronic constriction injury (CCI) was used to induce neuropathic pain in mice, the mechanical withdrawal threshold, thermal hyperalgesia were accomplished. The levels of microglia markers including ionized calcium-binding adaptor molecule 1 (Iba1), cluster of differentiation 11b (CD11b), pro-inflammatory phenotype markers including CD68, interleukin-1ß (IL-1ß), tumor necrosis factor-α (TNF-α), and anti-inflammatory phenotype markers including CD206, IL-4 in the hippocampus and spinal cord were determined on day 21 after CCI. The results showed that CCI produced mechanical allodynia and thermal hyperalgesia, and also increased the expressions of microglia markers (Iba1, CD11b) and pro-inflammatory phenotype markers (CD68, IL-1ß, and TNF-α), but not anti-inflammatory phenotype marker (CD206, IL-4) in the hippocampus and spinal cord, accompanied by increased SCFAs in the gut. Notably, antibiotic administration reversed these abnormalities, and its effects was also bloked by SCFAs administration. In conclusion, data from our study suggest that CCI can lead to mechanical and thermal hyperalgesia, while SCFAs play a key role in the pathogenesis of neuropathic pain by regulating microglial activation and subsequent pro-inflammatory phenotype polarization. Antibiotic administration may be a new treatment for neuropathic pain by reducing the production of SCFAs and further inhibiting the process of microglia polarization.