BACKGROUND:Pure titanium and titanium alloy implants are widely used in the field of implant restoration due to their excellent biocompatibility and elastic modulus.However,the biological inertness of the surface of titanium-based implants leads to poor integration with surrounding bone tissues,and surface modification is required to improve the bone integration ability of titanium-based implants.OBJECTIVE:To fabricate hydroxyapatite/graphene oxide/interleukin-4 composite coatings on pure titanium substrates,and to investigate their physicochemical properties and biocompatibility of the coating materials.METHODS:Hydroxyapatite/graphene oxide/interleukin-4 composite coatings were prepared on pure titanium substrates by electrochemical deposition and freeze-drying.Titanium sheets loaded with interleukin-4 and titanium sheets loaded with hydroxyapatite/graphene oxide coatings were prepared at the same time,and the physicochemical properties of pure titanium sheets and the above three titanium sheets were characterized.MC3T3-E1 cells were inoculated on the surfaces of pure titanium sheets and the above three titanium sheets,respectively.Cell proliferation was detected by CCK-8 assay and DAPI staining.Cell activity was detected by Calcein-AM/PI staining.Cell morphology and adhesion were observed by scanning electron microscopy.RESULTS AND CONCLUSION:(1)Scanning electron microscopy,energy-dispersive X-ray spectroscopy,X-ray photoelectron spectroscopy,X-ray diffraction,and Raman spectroscopy confirmed the successful fabrication of the hydroxyapatite/graphene oxide/interleukin-4 composite coating on the titanium surface.The water contact angle of hydroxyapatite/graphene oxide/interleukin-4 group was larger than that of pure titanium group and hydroxyapatite/graphene oxide group,and smaller than that of interleukin-4 group.(2)CCK-8 assay and DAPI staining results showed that hydroxyapatite/graphene oxide/interleukin-4 coating could promote the proliferation of MC3T3-E1 cells.Calcein-AM/PI staining results showed that MC3T3-E1 cells in hydroxyapatite/graphene oxide/interleukin-4 coating group had higher activity and fewer dead cells.Scanning electron microscopy showed that MC3T3-E1 cells adhered to the surfaces of the four groups of materials with good cell morphology.Compared with the pure titanium group,the MC3T3-E1 cells in the interleukin-4 group extended more pseudopodia,the cell-cell connections were closer,and the adhesion area was larger;compared with the hydroxyapatite/graphene oxide group,the MC3T3-E1 cells in the hydroxyapatite/graphene oxide/interleukin-4 group extended more pseudopodia,the cell-cell connections were closer,and the adhesion area was larger.(3)These findings indicate that the hydroxyapatite/graphene oxide/interleukin-4 composite coating possesses favorable physicochemical and biological properties.

ObjectiveThis paper aims to study the potential active compound components and action mechanism of Shenqi Dihuangtang in the treatment of diabetic kidney disease （DKD） through network pharmacology and in vivo experimental verification. MethodsUltra-high-performance liquid chromatography-Q-exactive orbitrap mass spectrometry （UPLC-Q-Exactive Orbitrap MS） technology was used to clarify the main active chemical components of Shenqi Dihuangtang， and it was combined with network pharmacology methods such as gene ontology （GO） functional annotations and Kyoto encyclopedia of genes and genome （KEGG） to predict the potential action mechanism of Shenqi Dihuangtang in treating DKD. Subsequently， the DKD model of db/db male mice was established， and the mice were randomly divided into model group， low-dose Shenqi Dihuangtang group （6.10 g·kg^-1）， medium-dose Shenqi Dihuangtang group （12.19 g·kg^-1）， high-dose Shenqi Dihuangtang group （24.38 g·kg^-1）， and daplizin group （1.25 mg·kg^-1）. During the same period， C57BL/6J male mice were selected into normal group and received drug intervention for 8 weeks， respectively. During this period， the body weight and fasting blood glucose （FBG） of the mice were dynamically monitored， and oral glucose tolerance test （OGTT） and insulin tolerance test （ITT） were performed at the end of dosing. The levels of serum creatinine （SCr）， blood urea nitrogen （BUN）， uric acid （UA）， albumin （ALB）， and total protein （TP） were measured by an automatic biochemical analyzer， and 24-hour urine protein was measured by a urine protein quantitative kit. Hematoxylin-eosin （HE）， periodic-acid Schiff （PAS）， and Masson staining were employed to observe the renal histopathology. The expression of nephrotic protein Nephrin was observed by immunohistochemistry. Western blot was used to detect the expression of epithelial-mesenchymal transition （EMT）-related proteins such as TGF-β₁， Smad2/3， α-smooth muscle actin （α-SMA）， neural-cadherin （N-Cadherin）， and snail protein. ResultsUPLC-Q-Exactive Orbitrap MS identified 384 active compounds in the aqueous extract of Shenqi Dihuangtang. According to oral bioavailability≥30% and the five drug-like principles， 44 key active ingredients were screened out， and 169 intersection targets highly correlated with DKD were matched. Among them， there was a significant interaction relationship between tumor necrosis factor（TNF）， interleukin（IL）-6， protein kinase B（Akt）1， Caspase-3， Jun proto-oncogene （JUN）， hypoxia inducible factor-1α（HIF-1α）， B cell lymphoma-2（Bcl-2）， matrix metallopeptidase-9（MMP-9）， IL-1β， and TGF-β₁. GO functional annotations were significantly enriched in cellular components such as membrane rafts， membrane microdomains， and collagen-containing extracellular matrix， molecular functions such as DNA-binding transcription factor binding， R-Smad binding， and Smad protein binding， as well as biological processes such as reactions to lipopolysaccharides（LPS）， reactions to bacteria-derived molecules， and wound healing. The KEGG pathway was significantly enriched in lipids and atherosclerosis， TGF-β signaling pathway， phosphatidylinositol 3 kinase （PI3K）/Akt signaling pathway， etc. In vivo experimental results showed that the high-dose Shenqi Dihuangtang group could significantly reduce FBG levels in db/db mice （P<0.01）， improve OGTT （P<0.01） and ITT （P<0.01） levels， reduce SCr （P<0.01）， BUN （P<0.01）， UA （P<0.01） and 24-hour BUN （P<0.01）， and increase ALB （P<0.01） and TP （P<0.01） levels. Pathological staining confirmed that the high-dose Shenqi Dihuangtang group could significantly reduce the glomerular mesangial matrix area and collagen deposition （P<0.01） and upregulate the positive expression rate of Nephrin （P<0.01）. Western blot results showed that the high-dose Shenqi Dihuangtang group significantly downregulated the expression of TGF-β₁ （P<0.01） and Smad2/3 （P<0.01） signal molecules and inhibited the protein levels of α-SMA （P<0.01）， N-Cadherin （P<0.01）， and Snail （P<0.01）. ConclusionShenqi Dihuangtang can inhibit the TGF-β₁/Smad signaling axis and block the renal EMT process， thereby improving DKD renal fibrosis damage. Further analysis of its key active components and clinical transformation pathways is needed in the future.

BACKGROUND:Pure titanium and titanium alloy implants are widely used in the field of implant restoration due to their excellent biocompatibility and elastic modulus.However,the biological inertness of the surface of titanium-based implants leads to poor integration with surrounding bone tissues,and surface modification is required to improve the bone integration ability of titanium-based implants.OBJECTIVE:To fabricate hydroxyapatite/graphene oxide/interleukin-4 composite coatings on pure titanium substrates,and to investigate their physicochemical properties and biocompatibility of the coating materials.METHODS:Hydroxyapatite/graphene oxide/interleukin-4 composite coatings were prepared on pure titanium substrates by electrochemical deposition and freeze-drying.Titanium sheets loaded with interleukin-4 and titanium sheets loaded with hydroxyapatite/graphene oxide coatings were prepared at the same time,and the physicochemical properties of pure titanium sheets and the above three titanium sheets were characterized.MC3T3-E1 cells were inoculated on the surfaces of pure titanium sheets and the above three titanium sheets,respectively.Cell proliferation was detected by CCK-8 assay and DAPI staining.Cell activity was detected by Calcein-AM/PI staining.Cell morphology and adhesion were observed by scanning electron microscopy.RESULTS AND CONCLUSION:(1)Scanning electron microscopy,energy-dispersive X-ray spectroscopy,X-ray photoelectron spectroscopy,X-ray diffraction,and Raman spectroscopy confirmed the successful fabrication of the hydroxyapatite/graphene oxide/interleukin-4 composite coating on the titanium surface.The water contact angle of hydroxyapatite/graphene oxide/interleukin-4 group was larger than that of pure titanium group and hydroxyapatite/graphene oxide group,and smaller than that of interleukin-4 group.(2)CCK-8 assay and DAPI staining results showed that hydroxyapatite/graphene oxide/interleukin-4 coating could promote the proliferation of MC3T3-E1 cells.Calcein-AM/PI staining results showed that MC3T3-E1 cells in hydroxyapatite/graphene oxide/interleukin-4 coating group had higher activity and fewer dead cells.Scanning electron microscopy showed that MC3T3-E1 cells adhered to the surfaces of the four groups of materials with good cell morphology.Compared with the pure titanium group,the MC3T3-E1 cells in the interleukin-4 group extended more pseudopodia,the cell-cell connections were closer,and the adhesion area was larger;compared with the hydroxyapatite/graphene oxide group,the MC3T3-E1 cells in the hydroxyapatite/graphene oxide/interleukin-4 group extended more pseudopodia,the cell-cell connections were closer,and the adhesion area was larger.(3)These findings indicate that the hydroxyapatite/graphene oxide/interleukin-4 composite coating possesses favorable physicochemical and biological properties.

The Type III Secretion System (T3SS) serves as a pivotal virulence apparatus for numerous Gram-negative bacterial pathogens, enabling them to infect both animal and plant hosts. Functioning as a molecular syringe, the T3SS directly translocates bacterial effector proteins from the bacterial cytoplasm into the interior of eukaryotic host cells. These effectors are central weapons that precisely manipulate a wide spectrum of host cellular physiological processes, ranging from cytoskeletal dynamics to immune signaling, to establish a favorable niche for bacterial survival and proliferation. Among the diverse arsenal of T3SS effectors, the YopJ family constitutes a critical group of virulence factors. Members of this family are characterized by a conserved catalytic triad structure—a hallmark of the CE clan of cysteine proteases that has been evolutionarily repurposed to confer acetyltransferase activity. A defining and intriguing feature of these enzymes is their stringent dependence on a host-derived eukaryotic cofactor, inositol hexakisphosphate (IP₆), for allosteric activation. This requirement acts as a sophisticated molecular safeguard, ensuring enzymatic activity only within the appropriate host environment, thereby preventing detrimental effects on the bacterium itself. While seminal studies on individual members such as Yersinia’s YopJ and Salmonella’s AvrA have provided deep mechanistic insights, a systematic and integrative understanding of the structure-function relationships across the entire family remains fragmented. Key questions persist regarding how a conserved catalytic core has diverged to recognize distinct host substrates in different kingdoms of life. To address this gap, this article provides a systematic review of the YopJ family, focusing on three interconnected aspects: their structural features, their catalytic mechanism, and their divergent immunosuppressive strategies in animal versus plant hosts. By conducting a comparative analysis of the sequences and resolved three-dimensional structures of three representative members (e.g., HopZ1a, PopP2, AvrA), we elucidate regions of significant variation embedded within the conserved core catalytic architecture. These variable regions, often involving surface loops and substrate-binding interfaces, are crucial determinants of target specificity and functional specialization. The functional divergence of this effector family is most apparent when comparing their modes of action in different hosts. In animal hosts, YopJ-family effectors primarily sabotage innate immune signaling pathways. They achieve this by acetylating key serine and threonine residues within the activation loops of critical kinases in the MAPK and NF‑κB pathways. This post-translational modification blocks the phosphorylation and subsequent activation of these kinases, leading to potent suppression of inflammatory cytokine production. Conversely, in plant hosts, the strategy broadens to dismantle the two-tiered plant immune system. YopJ homologs target a more diverse set of substrates, including immune-associated receptor-like cytoplasmic kinases (RLCKs), microtubule networks via tubulin acetylation (which disrupts cellular trafficking and signaling), and transcription factors central to defense gene regulation. This multi-target approach effectively suppresses both Pattern-Triggered Immunity (PTI) and Effector-Triggered Immunity (ETI). In conclusion, this synthesis aims to deepen the mechanistic understanding of YopJ family-mediated pathogenesis by integrating structural biology with cellular function across host kingdoms. Elucidating the precise molecular basis for substrate selection—how conserved platforms achieve target diversity—is a major frontier. Furthermore, this knowledge provides a vital theoretical foundation for developing novel anti-virulence strategies. Targeting the conserved IP₆-binding pocket or the catalytic acetyltransferase activity itself represents a promising avenue for designing broad-spectrum inhibitors that could disarm this critical family of bacterial effectors, potentially offering new therapeutic approaches against a range of pathogenic bacteria.

Objective To explore the effectiveness of the generative large language model MedGo in nursing decision-making for elderly patients with multimorbidity. Methods A quasi-randomized controlled trial study was conducted involving 6 junior nurses, 6 senior nurses and the MedGo model from January 1, 2025 to March 31, 2025 at the Emergency Internal Medicine Ward of Shanghai East Hospital Affiliated to Tongji University. Clinical data of 120 elderly patients with multimorbidity were analyzed to compare the performance of the three groups in four tasks (nursing diagnosis assessment, nursing intervention formulation, complication identification, and complication prevention) from three evaluation dimensions: decision-making time consumption, decision accuracy, and decision-making quality. Results In terms of decision-making time, the senior nurse group completed all four tasks faster than the junior nurse group (P＜0.01), and the MedGo group completed all four tasks faster than the junior nurse group (P＜0.001) and the senior nurse group (P＜0.001). In terms of decision-making accuracy, senior nurse group scored higher than junior nurse group in all four tasks (P＜0.001), while the MedGo group outperformed the senior nurse group only in complication identification (P＜0.001). In terms of decision-making quality, the MedGo group scored higher than junior nurse group (P＜0.001) and senior nurse group (P＜0.001) in all four tasks. Conclusions The MedGo model demonstrates advantages of high efficiency, accuracy, and quality in nursing decision-making for elderly patients with multimorbidity; senior nurses outperform junior nurses in decision-making, providing diverse references for clinical nursing decision-making.

ObjectiveTo explore the molecular mechanism of aerobic exercise to improve hippocampal neuronal degeneration by regulating tryptophan metabolic pathway. Methods60 SPF-grade C57BL/6J male mice were divided into a young group (2 months old, n=30) and a senile group (12 months old, n=30), and each group was further divided into a control group (C/A group, n=15) and an exercise group (CE/AE group, n=15). An aerobic exercise program was used for 8 weeks. Learning memory ability was assessed by Y-maze, and anxiety-depression-like behavior was detected by absent field experiment. Hippocampal Trp levels were measured by GC-MS. Nissl staining was used to observe the number and morphology of hippocampal neurons, and electron microscopy was used to detect synaptic ultrastructure. ELISA was used to detect the levels of hippocampal Trp,5-HT, Kyn, KATs, KYNA, KMO, and QUIN; Western blot was used to analyze the activities of TPH2, IDO1, and TDO enzymes. ResultsGroup A mice showed significant decrease in learning and memory ability (P<0.05) and increase in anxiety and depressive behaviors (P<0.05); all of AE group showed significant improvement (P<0.05). Hippocampal Trp levels decreased in group A (P<0.05) and increased in AE group (P<0.05). Nidus vesicles were reduced and synaptic structures were degraded in group A (P<0.05), and both were significantly improved in group AE (P<0.05). The levels of Trp, 5-HT, KATs, and KYNA were decreased (P<0.05) and the levels of Kyn, KMO, and QUIN were increased (P<0.05) in group A. The activity of TPH2 was decreased (P<0.05), and the activities of IDO1 and TDO were increased (P<0.05). The AE group showed the opposite trend. ConclusionThe aging process significantly reduces the learning memory ability and increases the anxiety-depression-like behavior of mice, and leads to the reduction of the number of nidus vesicles and degenerative changes of synaptic structure in the hippocampus, whereas aerobic exercise not only effectively enhances the spatial learning memory ability and alleviates the anxiety-depression-like behavior of aging mice, but also improves the morphology and structure of neurons in hippocampal area, which may be achieved by the mechanism of regulating the tryptophan metabolic pathway.

ObjectiveTo characterize the seasonal patterns of influenza in Kunming City, Yunnan Province before, during, and after the COVID-19 pandemic, and provide scientific evidence for optimizing influenza prevention and control strategies. MethodsInfluenza-like illness (ILI) and etiological surveillance data for influenza from the 14^th week of 2010 to the 13^th week of 2024 in Kunming City of Yunnan Province were collected. Harmonic regression models were constructed to analyze the epidemic characteristics and seasonal patterns of influenza before (2010/2011‒2019/2020 influenza seasons), during (2020/2021‒2022/2023 influenza seasons), and after (2023/2024 influenza season) the COVID-19 pandemic. ResultsBefore the COVID-19 pandemic, influenza in Kunming City mainly exhibited an annual cyclic pattern without a significant semi-annual periodicity, peaking from December to February of the next year, with an epidemic duration of 20‒30 weeks. During the pandemic, influenza seasonality shifted, with an increase in semi-annual periodicity and an approximate one month delay in annual peaks. However, after the pandemic, the annual amplitude of influenza increased compared with that before the pandemic, and the epidemic duration extended by about one month. Although the annual peak largely reverted to the pre-pandemic levels, the annual peaks for different influenza subtypes/lineages had not fully recovered. ConclusionInfluenza seasonality in Kunming City underwent substantial alterations following the COVID-19 pandemic and has not yet fully reverted to pre-pandemic levels. Continuous surveillance on different subtypes/lineages of influenza viruses remains essential, and prevention and control strategies should be adjusted and optimized in a timely manner based on current epidemic trends.

Objective To analyze the factors influencing the occupational health literacy (OHL) level among workers in key industries from the perspectives of both individual workers and enterprises. Methods A total of 32 336 front-line workers from 12 key industries in the secondary industry in Guangdong Province were selected as the research subjects by a stratified cluster random sampling method. Their OHL level was investigated using Occupational Health Literacy Questionnaire of National Key Populations, and the influencing factors were analyzed. Results The OHL level of the research subjects was 48.5%. The OHL level of the research subjects in four dimensions from high to low was basic knowledge of occupational health protection, occupational health practice and behavior, legal knowledge of occupational health, and basic skills of occupational health protection (80.7%, 61.2%, 48.3% and 29.5%, respectively). The multivariable logistic regression analysis showed that the OHL level of female workers was lower than that of males (P<0.05). Lower OHL was also associated with older age, lower education level, lower personal monthly income of workers (all P<0.01). The workers with length of service < 3 years and ≥ 20 years had lower OHL level than those with length of service 3-<10 years and 10-<20 years, respectively (all P<0.05). Workers in larger enterprises had higher OHL levels (all P<0.01). The OHL level of workers in the sixth category of industries with occupational injuries had higher occupational injury risks than those in the third and fourth categories (all P<0.05). The OHL levels of workers in state-owned enterprises, private enterprises, foreign-funded enterprises, and other enterprises were higher than that of workers in public institutions (all P<0.05). Conclusion The influencing factors of workers′ OHL in key industries of the secondary industry include individual factors (gender, age, education level, personal monthly income, length of service) and enterprise factors (enterprise size, enterprise nature and industry injury risk category). Female, older workers, those with lower education or income, and those with short length of service represent priority groups for OHL interventions, while small and micro enterprises are priority units for future workplace health promotion intervention.

ObjectiveThis study aims to develop and validate a novel multimodal predictive model， termed criss-cross network（CCNet）-directed graph neural network（DGNN）（CGN）， for accurate assessment of pulmonary nodule progression in high-risk individuals for lung cancer， by integrating longitudinal chest computed tomography（CT） imaging with both traditional Chinese and western clinical evaluation data. MethodsA cohort of 4 432 patients with pulmonary nodules was retrospectively analyzed. A twin CCNet was employed to extract spatiotemporal representations from paired sequential CT scans. Structured clinical assessment and imaging-derived features were encoded via a multilayer perceptron， and a similarity-based alignment strategy was adopted to harmonize multimodal imaging features across temporal dimensions. Subsequently， a DGNN was constructed to integrate heterogeneous features， where nodes represented modality-specific embeddings and edges denoted inter-modal information flow. Finally， model optimization was performed using a joint loss function combining cross-entropy and cosine similarity loss， facilitating robust classification of nodule progression status. ResultsThe proposed CGN model demonstrated superior predictive performance on the held-out test set， achieving an area under the receiver operating characteristic curve（AUC） of 0.830， accuracy of 0.843， sensitivity of 0.657， specificity of 0.712， Cohen's Kappa of 0.417， and F₁ score of 0.544. Compared with unimodal baselines， the CGN model yielded a 36%-48% relative improvement in AUC. Ablation studies revealed a 2%-22% increase in AUC when compared to simplified architectures lacking key components， substantiating the efficacy of the proposed multimodal fusion strategy and modular design. Incorporation of traditional Chinese medicine （TCM）-specific symptomatology led to an additional 5% improvement in AUC， underscoring the complementary value of integrating TCM and western clinical data. Through gradient-weighted activation mapping visualization analysis， it was found that the model's attention predominantly focused on nodule regions and effectively captured dynamic associations between clinical data and imaging-derived features. ConclusionThe CGN model， by synergistically combining cross-attention encoding with directed graph-based feature integration， enables effective alignment and fusion of heterogeneous multimodal data. The incorporation of both TCM and western clinical information facilitates complementary feature enrichment， thereby enhancing predictive accuracy for pulmonary nodule progression. This approach holds significant potential for supporting intelligent risk stratification and personalized surveillance strategies in lung cancer prevention.

Objective To observe the effect of Kaixin Powder on neuroinflammation in APP/PS1 mice by regulating WDFY1/TLR4/NF-κB signaling pathway;To explore its mechanism of intervening in Alzheimer disease(AD).Methods APP/PS1 transgenic mice were randomly divided into model group,donepezil hydrochloride group(0.66 mg/kg),and Kaixin Powder low-,medium-and high-dosage groups(1.625,3.25,6.5 g/kg),C57BL/6J mice were set as blank control group,with 8 mice in each group,and corresponding drug intervention was given to medicaction group for 24 weeks.Morris water maze,Y maze and novel object recognition experiments were conducted to assess the cognitive function and learning and memory abilities of mice,immunohistochemical staining was used to detect the deposition of β-amyloid protein(Aβ)in hippocampus,the morphology and Nissl bodies of hippocampal CA1 neurons were observed using HE staining and Nissl staining,ELISA was used to detect the serum contents of interleukin(IL)-6,IL-17,IL-1β and tumor necrosis factor-α(TNF-α),Western blot was used to detect the protein expression of calcium-binding adapter molecule 1(Iba1),glial fibrillary acidic protein(GFAP),WDFY1,Toll like receptor 4(TLR4),Toll like receptor associated molecule(TRAM),TIR domain adapter protein(TRIF),NF-κB p65 and p-NF-κB p65 in hippocampal tissue,RT-qPCR was used to detect the mRNA expression of WDFY1,TLR4,TRAM,TRIF and NF-κB p65 in hippocampal tissue.Results Compared with the blank control group,the model group had significantly prolonged escape latency,reduced platform crossings,decreased autonomous reaction alternation rate and relative recognition index(P<0.05,P<0.01),with increased deposition of Aβ in hippocampal tissue(P<0.01),damaged morphological structure of neurons,reduced number of neurons and Nissl bodies,the serum contents of IL-6,IL-17,IL-1β and TNF-α significantly increased,the expression of Iba1,GFAP,WDFY1,TLR4,TRAM,TRIF,p-NF-κB p65 protein and WDFY1,TLR4,TRAM,TRIF mRNA in hippocampal tissue significantly increased(P<0.01).Compared with the model group,Kaixin Powder groups and donepezil hydrochloride group had significantly shortened escape latency and increased platform crossings,autonomous reaction alternation rate and relative recognition index(P<0.05,P<0.01),hippocampal Aβ deposition reduced in Kaixin Powder medium-,high-dosage groups and donepezil hydrochloride group,the morphological structure of neurons recovered,the number of neurons and Nissl bodies increased,the serum contents of IL-6,IL-17,IL-1β and TNF-α significantly decreased(P<0.05,P<0.01),and the protein expression of Iba1,GFAP,WDFY1,TLR4,TRAM,TRIF,p-NF-κB p65 and the mRNA expressions of WDFY1,TLR4,TRAM and TRIF in hippocampal tissue significantly decreased(P<0.05,P<0.01).Conclusion Kaixin Powder can improve cognitive function and learning and memory abilities in AD model mice,alleviate hippocampal neuron damage and Aβ deposition,inhibit the activation of microglia and astrocytes,and thereby reduce serum inflammatory cytokine release.Its mechanism may be related to regulating the WDFY1/TLR4/NF-κB signaling pathway to inhibit neuroinflammation.