ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective To investigate the perioperative use of antimicrobial agents in class Ⅰ incisional ophthalmic surgeries in secondary first-class and above medical institutions in Shanghai City,and provide a basis for the rational use of antimicrobial agents in such surgeries.Methods Perioperative antimicrobial prophylaxis(PAP)in patients undergoing class Ⅰ incisional ophthalmic surgery reported by secondary first-class and above hospitals in Shanghai City from 2017 to 2022 was collected retrospectively.The prophylactic use rate,types,rationality of selection,and timing of use of antimicrobial agents were analyzed comprehensively.Results From 2017 to 2022,a total of 54 868 cases of class Ⅰ incisional ophthalmic surgeries were reported from secondary first-class and above hospitals in Shanghai City.The PAP rates in tertiary comprehensive hospitals,tertiary specialty hospitals,tertiary traditional Chinese medicine hospitals,and secondary comprehensive hospitals were 4.72％,1.79％,3.22％,and 6.63％,re-spectively.The overall PAP rate showed a yearly decreasing trend,from 6.39％in 2017 to 2.31％in 2021.Among different types of hospitals,the PAP rate in secondary comprehensive hospitals decreased most significantly,from 12.72％in 2017 to 0.53％in 2022.The main types of prophylactic antimicrobial use were first-,second-and third-generation cephalosporins,and quinolones.The rational selection rates of antimicrobial agents were highest in ter-tiary comprehensive hospitals(17.13％)and lowest in tertiary specialty hospitals(1.08％).The PAP rates in sys-temic veins 0.5-1 hour before surgery were highest in tertiary specialty hospitals(88.17％)and lowest in tertiary comprehensive hospitals(71.53％).The withdrawal rates of antimicrobial agents within 24 hours after surgery were highest in tertiary traditional Chinese medicine hospitals(80.87％)and lowest in tertiary specialty hospitals(13.26％).Conclusion The PAP for class Ⅰ incisional ophthalmic surgeries in secondary first-class and above medical institutions in Shanghai City still presents certain irrational phenomena in terms of antimicrobial types and administration routes.The administration rate 0.5-1 hour before surgery and withdrawal rate of antimicrobial agents within 24 hours after surgery need to be further improved.Enhanced management is necessary to promote more rational use of antimicrobial agents.

Recent studies have revealed a significant association between Porphyromonas gingivalis(P.gingivalis)infection and poor prognosis in esophageal squamous cell carcinoma(ESCC).Although cer-tain circular RNAs(circRNA)have been shown to suppress ESCC tumorigenesis and progression,their regulatory mechanisms in P.gingivalis infection-associated ESCC remain elusive.In this study,RT-qPCR analysis demonstrated that P.gingivalis infection downregulated hsa_circ_0057552 expression in ESCC cells and tissues in a time-and dose-dependent manner.Actinomycin D assays further confirmed that P.gingivalis infection reduced the RNA stability of hsa_circ_0057552 in ESCC cells(P＜0.05).Functional assays in vitro and a subcutaneous tumor xenograft model in vivo revealed that hsa_circ_0057552 overexpression significantly inhibited ESCC cell proliferation,migration,invasion,and tumor growth(P＜0.05).Additionally,PCR array screening combined with RT-qPCR and Western blotting in-dicated that P.gingivalis infection markedly upregulated human antigen R(HuR)expression at both RNA and protein levels(P＜0.05).Mechanistic investigations demonstrated that HuR knockdown signifi-cantly increased hsa_circ_0057552 expression(P＜0.01),whereas hsa_circ_0057552 overexpression had no regulatory effect on HuR.Finally,si-HuR treatment reversed the inhibitory effect of P.gingivalis on hsa_circ_0057552 transcription.This study demonstrated that P.gingivalis may promote the progression of ESCC through a novel mechanism involving the regulation of HuR/hsa_circ_0057552,thereby identif-ying a novel therapeutic target and molecular marker for P.gingivalis-associated ESCC.

OBJECTIVE To investigate the analgesic effects and potential mechanisms of the partial agonist of the 5-hydroxytryptamine 1A(5-HT1A)receptor and the selective 5-HT reuptake inhibitor,viladazone(Vil),in various animal models of pain.METHODS ① Mouse acetic acid writhing test:KM mice were divided into the model group,model+morphine 10 mg·kg-1 group,and model+Vil 2,4,8 mg·kg-1 groups.Thirty minutes after ig administration of saline(model group)or corresponding drugs,each group was ip injected with a 2%acetic acid aqueous solution(0.01 mL·g-1),and the writhing frequency of the mice was observed and recorded from 5 to 20 min.② Mouse formalin pain test:KM mice were divided into the model group and model+Vil 2,4 and 8 mg·kg-1 groups.Thirty minutes after ig adminis-tration of saline(model group)or drugs,20 μL of 5%formalin solution was sc injected into the right plantar region of the mice.The licking time(the sum of the duration of licking and biting the paw)of the mice was observed and recorded during two periods:the acute phase(0-5 min after sc formalin injec-tion)and the delayed phase(15-35 min after sc formalin injection).③ Rat chronic constriction injury(CCI)of the sciatic nerve experiment:SD rats successfully examined with a paw withdrawal threshold(PWT)<5 g were randomly divided into a CCI model group and a CCI model+Vil 2,4 and 8 mg·kg-1 group.Solvent(model group)or corresponding drugs were ig administered,and the PWT of the modeled side was measured at 30,60,120 and 240 min after the first administration to evaluate the acute anal-gesic effect of Vil on mechanical pain.Then,Vil was continuously ig administered for 14 d,and the PWT was measured 1 h after Vil administration on the 7th and 14th d to evaluate the long-term analgesic effect of Vil.Immunofluorescence staining was employed to analyze the expression levels of inflamma-tion-related proteins,ionized calcium binding adapter molecule 1(IBA-1),tumor necrosis factor α(TNF-α),and interleukin 1β(IL-1β),in brain tissues.Enzyme-linked immunosorbent assay(ELISA)was used to detect the levels of IBA-1,TNF-α and IL-1β in the dorsal root ganglion of the spinal cord in the CCI model.RESULTS ① In the mouse model of acetic acid writhing,single ig administration of morphine 10 mg·kg-1 and Vil at varied doses significantly reduced the number of writhings induced by acetic acid compared to the model group.② In the formalin-induced pain model,the average licking time of the model group was 50.5 s during the acute phase of inflammatory pain(0-5 min after intraplantar injec-tion of 5%formalin),and 347.9 s during the delayed phase of inflammatory pain(25-35 min after formalin injection).Compared to the model group,single ig administration of Vil 2-8 mg·kg-1 reduced chronic pain induced by formalin in mice,and each dose of Vil significantly decreased the licking time of mice,but had no notable impact on the licking duration exhibited by mice during acute phase.③ In the CCI model,the PWT values of CCI model rats significantly decreased compared with the control group.Pathological damage to varying extents was observed in brain slices,manifested as enlarged intercellular spaces and the appearance of vacuoles.The expression of IBA-1 in brain tissue significantly increased,while TNF-α and IL-1β hardly changed.The levels of IBA-1,TNF-α and IL-1β in the spinal dorsal root ganglion significantly increased.Compared with the CCI model,after single administration of Vil 2-8 mg·kg-1 for 60,120 and 240 min,Vil significantly reduced the PWT values.After two-week continuous administration,the PWT values in Vil 4 and 8 mg·kg-1 were significantly reduced,and Vil 2-8 mg·kg-1 could alleviate the neuropathic pain to some extent.Vil 8 mg·kg-1 significantly reduced the elevated levels of inflammatory factors compared to CCI rats.CONCLUSION The antidepressant Vil exhibits analgesic effects in mouse models of acetic acid writhing,formalin-induced inflammation,and neuropathic pain induced by CCI in rats,with a more pronounced effect on neuropathic pain.The mechanism of action may be related to the inhibition of inflammatory pathways of IBA-1.

Objective:To evaluate the value of ultrasound radiomics combined with machine learning for early diagnosis of seronegative Hashimoto’s thyroiditis (SN-HT) .Methods:This retrospective study included 164 patients from Liaoning Provincial People’s Hospital , Lixin County People’s Hospital, Linghai Dalinghe Hospital, Fengcheng Phoenix Hospital, who underwent thyroidectomy for solitary nodules with normal thyroid function between Nov. 2016 and Jan. 2024. Postoperative pathology confirmed Hashimoto’s thyroiditis (HT) in some cases, who were further categorized into antibody-positive and antibody-negative groups based on serum antibody status. Patients without Hashimoto’s thyroiditis served as the control group. A total of 298 ultrasound images were analyzed. Radiomics features were extracted from hypoechoic non-nodular areas within 0.5 cm surrounding the tumor. Two senior pathologists and two senior ultrasound physicians independently assessed lymphocytic infiltration, eosinophilic changes of follicular epithelium, and the proportion of hypoechoic areas in pathology and ultrasound images, respectively. A machine learning model, CCH-NET, was developed using linear regression and t-distributed stochastic neighbor embedding (t-SNE) techniques. The dataset was divided into a training set (80%) and a validation set (20%) to compare the diagnostic accuracy of CCH-NET with that of senior ultrasound physicians. Results:In internal validation, CCH-NET achieved a diagnostic accuracy of 88.89% for both antibody-positive and antibody-negative groups, significantly higher than the 66.67% accuracy of senior ultrasound physicians ( P<0.01). In external validation, CCH-NET achieved 75.00% and 66.67% accuracy for the two groups, compared to 50.00% by senior ultrasound physicians. For the control group, both methods achieved 93.33% accuracy. The AUC of CCH-NET was 0.848, outperforming senior ultrasound physicians (0.681) ,demonstrating superior diagnostic performance. Conclusion:The radiomics-based CCH-NET model, using non-nodular hypoechoic areas as a specific indicator, can accurately identify early SN-HT in euthyroid patients. It significantly outperforms senior ultrasound physicians, improving diagnostic accuracy and reducing missed diagnoses.

Objective:To investigate the effect of early high-sucrose diet (eHSD) on cognitive function and its regulatory mechanism in 3×Tg-AD mice.Methods:(1) Eighteen specific-pathogen-free (SPF)-grade 2-month-old wide-type (WT) mice were randomly divided into a WT+normal chow diet (NCD) group and a WT+eHSD group, with 9 mice in each group; and 18 SPF-grade 2-month-old 3×Tg-AD mice were randomly divided into a 3×Tg-AD+NCD group and a 3×Tg-AD+eHSD group, with 9 mice in each group. At 2-5 months old, mice in the 4 groups received standard laboratory food+purified water or 30% sucrose water, followed by standard feed for all groups. At 8 months old, cognitive function was assessed by Morris water maze test; fluorescent intensity of AT8 (phosphorylated [p]-tau) and T22 (tau oligomers) in the hippocampal tissues was detected by immunofluorescent staining; concentrations of β-amyloid protein (Aβ) 42 and Aβ 40 were detected by enzyme-linked immunosorbent assay (ELISA); protein expressions of stimulator of interferon genes (STING), TANK-binding kinase 1 (TBK1), p-TBK1, and CCAAT/enhancer-binding protein β (C/EBPβ) were detected by Western blotting; activity of C/EBPβ transcription factor was detected by activity assay; mitochondrial DNA (mtDNA) content in the cytoplasm of cell was detected by real-time quantitative PCR (qPCR). (2) Eighteen SPF-grade 2-month-old 3×Tg-AD mice were randomized into a 3×Tg-AD+eHSD+H-151 group and a 3×Tg-AD+eHSD+dimethyl sulfoxide (DMSO) group, with 9 mice in each group. Mice at 2-5 months old were given standard laboratory food+30% sucrose water; they were, respectively, injected intraperitoneally with STING pathway inhibitor H-151 or DMSO at 5 months old, and continually injected until 8 months old; and then, the behavioral testing, immunofluorescent staining, ELISA, Western blotting and C/EBPβ transcription factor activity experiments were repeated as before. (3) After crossing C/EBPβ heterozygous knockout (C/EBPβ +/-) mice with 3×Tg-AD mice, 3×Tg-AD/C/EBPβ +/- mice were obtained, and 3×Tg-AD mice were used as controls; they were named 3×Tg-AD/C/EBPβ +/-+eHSD group and 3×Tg-AD+eHSD group, with 9 mice in each group. Both groups of mice were given standard laboratory food+30% sucrose water at 2-5 months old, followed by standard feed until 8 months old; and then, the behavioral testing, immunofluorescent staining, ELISA, and Western blotting experiments were repeated as before. (4) C/EBPβ transgenic mice (C/EBPβTg) were crossed with 3×Tg-AD mice to obtain C/EBPβTg/3×Tg-AD mice, and Non-Tg/3×Tg-AD mice were used as controls; they were, respectively, named as C/EBPβTg/3×Tg-AD+eHSD+H-151 group, Non-Tg/3×Tg-AD+eHSD+H-151 group, and Non-Tg/3×Tg-AD+eHSD+DMSO group, with 9 mice in each group. All 3 groups of mice were given standard laboratory food+30% sucrose water at 2-5 months old; at 5-8 months old, mice in the C/EBPβTg/3×Tg-AD+eHSD+H-151 group and Non-Tg/3×Tg-AD+eHSD+H-151 group were intraperitoneally injected with H-151, while mice in the Non-Tg/3×Tg-AD+eHSD+DMSO group were injected with DMSO; and then, the behavioral testing, immunofluorescent staining, ELISA, and Western blotting experiments were repeated as before. Results:(1) Compared with those in the WT+NCD group and WT+eHSD group, area under the latency curve of 3×Tg-AD+eHSD mice was significantly increased, and proportion of time spending in the targeted quadrant of mice in the 3×Tg-AD+NCD group and 3×Tg-AD+eHSD group was significantly decreased ( P<0.05); compared with that in the 3×Tg-AD+NCD group, proportion of time spending in the targeted quadrant in mice of the 3×Tg-AD+eHSD group was significantly reduced ( P<0.05). Compared with the 3×Tg-AD+NCD group, the 3×Tg-AD+eHSD group had significantly increased p-tau and tau oligomers, Aβ 42 and Aβ 40 concentrations in the hippocampus (AT8 fluorescent intensity: 1.000±0.076 vs. 2.902±0.399; T22 fluorescent intensity: 1.000±0.145 vs. 2.495±0.273; Aβ 42: 1.000±0.167 vs.1.956±0.132; Aβ 40: 1.000±0.226 vs.1.900±0.116), significantly increased C/EBPβ protein expression and C/EBPβ transcription factor activity (1.000±0.164 vs. 1.804±0.112; 1.000±0.216 vs. 2.743±0.301), and statistically increased mtDNA level detected by D-loop1 and D-loop3 (1.000±0.234 vs. 2.800±0.210; 1.000±0.155 vs. 2.952±0.078; P<0.05). Compared with the 3×Tg-AD+NCD group, the 3×Tg-AD+eHSD group had significantly increased STING protein expression and p-TBK1/TBK1 ratio (STING: 1.000±0.192 vs. 2.093±0.081; p-TBK1/TBK1: 1.000±0.148 vs. 1.561±0.112, P<0.05). (2) Compared with the 3×Tg-AD+eHSD+DMSO group, the 3×Tg-AD+eHSD+H-151 group had significantly decreased area under the latency curve, significantly increased proportion of time spending in the targeted quadrant, significantly decreased p-tau and tau oligomers expressions, Aβ 42 and Aβ 40 concentrations in the hippocampus (AT8 fluorescent intensity: 1.000±0.142 vs. 0.538±0.057; T22 fluorescent intensity: 1.000±0.104 vs. 0.665±0.088; Aβ 42: 1.000±0.084 vs. 0.600±0.007; Aβ 40: 1.000±0.138 vs. 0.476±0.083), significantly decreased STING protein expression and p-TBK1/TBK1 ratio (STING: 1.000±0.054 vs. 0.468±0.111; p-TBK1/TBK1: 1.000±0.057 vs. 0.598±0.090), and significantly decreased C/EBPβ transcription factor activity (1.000±0.097 vs. 0.445±0.106; P<0.05). (3) Compared with the 3×Tg-AD+eHSD group, the 3×Tg-AD/C/EBPβ +/-+eHSD group had significantly decreased area under the latency curve, significantly increased proportion of time spending in the targeted quadrant, significantly decreased p-tau and tau oligomers, Aβ 42 and Aβ 40 concentrations in the hippocampus (AT8 fluorescent intensity: 1.000±0.160 vs. 0.506±0.065; T22 fluorescent intensity: 1.000±0.127 vs. 0.346±0.048; Aβ 42: 1.000±0.017 vs. 0.510±0.101; Aβ 40: 1.000±0.098 vs. 0.586±0.153), and significantly decreased C/EBPβ protein expression (1.000±0.101 vs. 0.568±0.094; P<0.05). (4) Compared with the Non-Tg/3×Tg-AD+eHSD+DMSO group, the Non-Tg/3×Tg-AD+eHSD+H-151 group had significantly decreased area under the latency curve, significantly increased proportion of time spending in the targeted quadrant, and significantly decreased p-tau and tau oligomers expressions, Aβ 40 concentration in the hippocampus, and the Non-Tg/3×Tg-AD+eHSD+H-151 group, the C/EBPβTg/3×Tg-AD+eHSD+H-151 group had significantly decreased STING protein expression and p-TBK1/TBK1 ratio in the hippocampus ( P<0.05). Compared with the Non-Tg/3×Tg-AD+eHSD+H-151 group, the C/EBPβTg/3×Tg-AD+eHSD+H-151 group had significantly increased area under the latency curve, significantly decreased proportion of time spending in the targeted quadrant, and significantly increased p-tau and tau oligomers expressions, Aβ 40 and Aβ 42 concentration in the hippocampus ( P<0.05). Conclusion:The eHSD aggravates cognitive impairment in 3×Tg-AD mice through activating cGAS-STING-C/EBPβ pathway.

OBJECTIVE To investigate the analgesic effects and potential mechanisms of the partial agonist of the 5-hydroxytryptamine 1A(5-HT1A)receptor and the selective 5-HT reuptake inhibitor,viladazone(Vil),in various animal models of pain.METHODS ① Mouse acetic acid writhing test:KM mice were divided into the model group,model+morphine 10 mg·kg-1 group,and model+Vil 2,4,8 mg·kg-1 groups.Thirty minutes after ig administration of saline(model group)or corresponding drugs,each group was ip injected with a 2%acetic acid aqueous solution(0.01 mL·g-1),and the writhing frequency of the mice was observed and recorded from 5 to 20 min.② Mouse formalin pain test:KM mice were divided into the model group and model+Vil 2,4 and 8 mg·kg-1 groups.Thirty minutes after ig adminis-tration of saline(model group)or drugs,20 μL of 5%formalin solution was sc injected into the right plantar region of the mice.The licking time(the sum of the duration of licking and biting the paw)of the mice was observed and recorded during two periods:the acute phase(0-5 min after sc formalin injec-tion)and the delayed phase(15-35 min after sc formalin injection).③ Rat chronic constriction injury(CCI)of the sciatic nerve experiment:SD rats successfully examined with a paw withdrawal threshold(PWT)<5 g were randomly divided into a CCI model group and a CCI model+Vil 2,4 and 8 mg·kg-1 group.Solvent(model group)or corresponding drugs were ig administered,and the PWT of the modeled side was measured at 30,60,120 and 240 min after the first administration to evaluate the acute anal-gesic effect of Vil on mechanical pain.Then,Vil was continuously ig administered for 14 d,and the PWT was measured 1 h after Vil administration on the 7th and 14th d to evaluate the long-term analgesic effect of Vil.Immunofluorescence staining was employed to analyze the expression levels of inflamma-tion-related proteins,ionized calcium binding adapter molecule 1(IBA-1),tumor necrosis factor α(TNF-α),and interleukin 1β(IL-1β),in brain tissues.Enzyme-linked immunosorbent assay(ELISA)was used to detect the levels of IBA-1,TNF-α and IL-1β in the dorsal root ganglion of the spinal cord in the CCI model.RESULTS ① In the mouse model of acetic acid writhing,single ig administration of morphine 10 mg·kg-1 and Vil at varied doses significantly reduced the number of writhings induced by acetic acid compared to the model group.② In the formalin-induced pain model,the average licking time of the model group was 50.5 s during the acute phase of inflammatory pain(0-5 min after intraplantar injec-tion of 5%formalin),and 347.9 s during the delayed phase of inflammatory pain(25-35 min after formalin injection).Compared to the model group,single ig administration of Vil 2-8 mg·kg-1 reduced chronic pain induced by formalin in mice,and each dose of Vil significantly decreased the licking time of mice,but had no notable impact on the licking duration exhibited by mice during acute phase.③ In the CCI model,the PWT values of CCI model rats significantly decreased compared with the control group.Pathological damage to varying extents was observed in brain slices,manifested as enlarged intercellular spaces and the appearance of vacuoles.The expression of IBA-1 in brain tissue significantly increased,while TNF-α and IL-1β hardly changed.The levels of IBA-1,TNF-α and IL-1β in the spinal dorsal root ganglion significantly increased.Compared with the CCI model,after single administration of Vil 2-8 mg·kg-1 for 60,120 and 240 min,Vil significantly reduced the PWT values.After two-week continuous administration,the PWT values in Vil 4 and 8 mg·kg-1 were significantly reduced,and Vil 2-8 mg·kg-1 could alleviate the neuropathic pain to some extent.Vil 8 mg·kg-1 significantly reduced the elevated levels of inflammatory factors compared to CCI rats.CONCLUSION The antidepressant Vil exhibits analgesic effects in mouse models of acetic acid writhing,formalin-induced inflammation,and neuropathic pain induced by CCI in rats,with a more pronounced effect on neuropathic pain.The mechanism of action may be related to the inhibition of inflammatory pathways of IBA-1.

Recent studies have revealed a significant association between Porphyromonas gingivalis(P.gingivalis)infection and poor prognosis in esophageal squamous cell carcinoma(ESCC).Although cer-tain circular RNAs(circRNA)have been shown to suppress ESCC tumorigenesis and progression,their regulatory mechanisms in P.gingivalis infection-associated ESCC remain elusive.In this study,RT-qPCR analysis demonstrated that P.gingivalis infection downregulated hsa_circ_0057552 expression in ESCC cells and tissues in a time-and dose-dependent manner.Actinomycin D assays further confirmed that P.gingivalis infection reduced the RNA stability of hsa_circ_0057552 in ESCC cells(P＜0.05).Functional assays in vitro and a subcutaneous tumor xenograft model in vivo revealed that hsa_circ_0057552 overexpression significantly inhibited ESCC cell proliferation,migration,invasion,and tumor growth(P＜0.05).Additionally,PCR array screening combined with RT-qPCR and Western blotting in-dicated that P.gingivalis infection markedly upregulated human antigen R(HuR)expression at both RNA and protein levels(P＜0.05).Mechanistic investigations demonstrated that HuR knockdown signifi-cantly increased hsa_circ_0057552 expression(P＜0.01),whereas hsa_circ_0057552 overexpression had no regulatory effect on HuR.Finally,si-HuR treatment reversed the inhibitory effect of P.gingivalis on hsa_circ_0057552 transcription.This study demonstrated that P.gingivalis may promote the progression of ESCC through a novel mechanism involving the regulation of HuR/hsa_circ_0057552,thereby identif-ying a novel therapeutic target and molecular marker for P.gingivalis-associated ESCC.