Intervertebral disc degeneration （IVDD） is the core cause of chronic low back pain， which severely impairs patients’ quality of life and imposes a heavy social and medical burden. The hypoxia-pyroptosis-inflammation cascade mediated by hypoxia-inducible factor-1α （HIF-1α） is the core pathological mechanism driving the initiation and progression of IVDD. Natural active ingredients derived from traditional Chinese medicine （TCM） have become a research hotspot in the field of IVDD prevention and treatment due to their advantages of multi-target effects， favorable efficacy， and low toxicity. This paper systematically reviews the mechanism of HIF-1α-mediated hypoxia-pyroptosis-inflammation cascade in degenerative nucleus pulposus tissue and the intervention of related active ingredients. It is found that natural active ingredients such as baicalein， curcumin and resveratrol can intervene in the HIF-1α-mediated pathological cascade through four core links to delay IVDD progression： targeting the HIF-1α oxygen sensing pathway to block the initiation of pyroptosis cascade， inhibiting NOD-like receptor protein 3 inflammasome activation to cut off the cascade amplification of inflammatory signals， intervening in the Gasdermin D-mediated pyroptosis execution stage to protect cell membrane integrity， and regulating extracellular matrix metabolism to reconstruct intervertebral disc homeostasis.

Previous studies have found associations between color discrimination deficits and cognitive impairments besides aging. However, investigations into the microstructural pathology of brain white matter (WM) associated with these deficits remain limited. This study aimed to examine the microstructural characteristics of WM in the non-demented population with abnormal color discrimination, utilizing Neurite Orientation Dispersion and Density Imaging (NODDI), and to explore their correlations with cognitive functions and cognition-related plasma biomarkers. The tract-based spatial statistic analysis revealed significant differences in specific brain regions between the abnormal color discrimination group and the healthy controls, characterized by increased isotropic volume fraction and decreased neurite density index and orientation dispersion index. Further analysis of region-of-interest parameters revealed that the isotropic volume fraction in the bilateral anterior thalamic radiation, superior longitudinal fasciculus, cingulum, and forceps minor was significantly correlated with poorer performance on neuropsychological assessments and to varying degrees various cognition-related plasma biomarkers. These findings provide neuroimaging evidence that WM microstructural abnormalities in non-demented individuals with abnormal color discrimination are associated with cognitive dysfunction, potentially serving as early markers for cognitive decline.
Humans ; White Matter/pathology* ; Male ; Female ; Cognitive Dysfunction/physiopathology* ; Middle Aged ; Aged ; Color Perception/physiology* ; Brain/pathology* ; Neuropsychological Tests ; Diffusion Tensor Imaging

BACKGROUND:As a common disease in middle-aged and elderly,osteoarthritis is difficult to cure,and the pathogenesis is not clear.Long non-coding RNA participates in the pathogenesis of osteoarthritis through many ways,such as regulating translation,promoting or inhibiting mRNA,and adsorbing miRNAs. OBJECTIVE:To review the types of common long non-coding RNA in osteoarthritis,and the influence of multiple long non-coding RNAs on the pathological factors related to osteoarthritis,to analyze the future application of long non-coding RNAs in osteoarthritis. METHODS:Literature retrieval was conducted in CNKI,WanFang Data,VIP database,PubMed,Web of Science and Sciencedirect databases,using the search terms of"osteoarthritis,degenerative joint disease,degenerative arthritis,OA,LncRNA,long non-coding RNA,long noncoding RNA,long intergenic non-coding RNA"in Chinese and English.All relevant literature published from 1976 and May 2024 was retrieved.After literature screening,induction,analysis and summary,93 articles were finally included for review. RESULTS AND CONCLUSION:This review collected 25 long non-coding RNAs that are well studied with osteoarthritis.Long non-coding RNAs,as a molecular sponge for miRNA,are competing endogenous RNAs to competitively adsorb miRNAs and then affect downstream targets.Long non-coding RNAs can regulate physiopathological processes such as chondrocyte apoptosis and proliferation,cartilage extracellular matrix degradation,and inflammatory responses.Long non-coding RNAs are expected to become a biomarker and potential therapeutic target for the clinical diagnosis and therapeutic prognosis of osteoarthritis,and it may become a new strategy for the clinical treatment of osteoarthritis in the future.

Objective:To establish a quantitative diagnostic standard for Crohn's disease with dampness syndrome based on clinical data using a disease syndrome combination model and conduct bidirectional validation.Methods:256 patients with Crohn's disease from the Department of Spleen and Stomach Diseases at Guangdong Provincial Hospital of Chinese Medicine, the Department of Gastroenterology at the Sixth Affiliated Hospital of Sun Yat-sen University, and the Outpatient Department of Guangdong Provincial Hospital of Chinese Medicine from October 2021 to January 2022 were selected as the observation objects. They were divided into an operation group of 205 patients and a verification group of 51 patients in an 8:2 ratio using a random number table method. The frequency advantage method, χ2 test, and binary logistic regression analysis were used to screen for relevant standard factors. The conditional probability method was used to assign scores to relevant items, and the maximum likelihood method was used to determine the quantitative diagnostic threshold. A quantitative diagnostic standard for Crohn's disease with dampness syndrome based on disease syndrome combination was established, and it was retrospectively analyzed and prospectively verified. Results:On the basis of the 20 candidate quantitative diagnostic criteria items for Crohn's disease dampness syndrome, binary logistic regression analysis was performed to calculate the OR values between each item. The quantitative diagnostic criteria for Crohn's disease with dampness syndrome included tongue coating greasiness (7 points), body heaviness (13 points), waist and knee soreness (8 points), head weight (9 points), bland mouth (6 points), anal heaviness (8 points), uncomfortable bowel movements (8 points), and sticky stools (7 points), with a quantitative diagnostic threshold of 11. Conclusion:The scoring of relevant items in the quantitative diagnostic criteria for Crohn's disease with dampness syndrome is reasonable and has good diagnostic value, which can provide reference for further quantitative research on Crohn's disease syndromes.

Objective To compare the effects of subcostal nerve injury between two incision methods in retroperitoneoscopic surgery.Methods A retrospective analysis was conducted on the clinical data of 91 patients who underwent retroperitoneal laparoscopic surgery in the Department of Urology of this hospital from July 2022 to June 2024.The patients were divided into group A(47 cases)and group B(44 cases)based on the different first opening methods for establishing the retroperitoneal space.In group A,the costovertebra angle was the first incision,while in group B,the midaxillary line above the iliac spine was the first incision.The patients were followed up for 6 to 24 months after the operation to observe the injury of the subcostal nerve on the surgical side,including the incidence of chronic pain,sensory numbness and abdominal wall bulge.Results The overall incidence of subcostal nerve injury in group A was 55.3%(26/47),significantly higher than 15.9%(7/44)in group B,and the difference was statistically significant(P<0.01).Among them,the incidence of chronic pain in group A was 31.9%(15/47),which was significantly higher than 9.1%(4/44)in group B,and the difference was statistically significant(P<0.01).There was no statistically significant difference in the side of nerve injury between the two groups of patients(P>0.05).Conclusion When retroperitoneal laparoscopic surgery uses the costovertebra angle as the first incision,there is relatively high risk of subcostal nerve injury.

Objective The molding process of compound Shexiang Huangqi dropping pills was optimized by central composite design and response surface method,the determination of volatile components in the compound by gas chromatography was established in order to improve the quality standard of the compound.Methods Single factor method was used to select the optimum range of matrix type,the ratio of matrix to liquid,and drop distance of compound Shexiang Huangqi dropping pills;Appearance traits,a difference of pill weight,and dissolution time were used as evaluation indexes,the optimum forming process conditions of compound Shexiang Huangqi dropping pills were optimized by central composite design and response surface method;Three batches of compound Shexiang Huangqi dropping pills were taken as test samples and determined by gas chromatography;The gas chromatographic column was HP-5 sillica capillary column,the inlet temperature was 260 ℃,the temperature was programmed,and the detector temperature was 300 ℃,the split ratio was 10∶1,nitrogen was selected as the carrier gas with a flow rate of 1.0 mL·min-1.Results The optimum forming process conditions of compound Shexiang Huangqi dropping pills were selected by central composite design and response surface method as a matrix:matrix=0.99,drug:matrix=0.55,drop distance=6.00,and the comprehensive score were 0.845 2.Under these conditions,the quality of the prepared dropping pills was the best;The chromatographic peaks of borneol,muscone,and ligustilide reached the baseline separation;the linear ranges of the three components were 0.327-1.962,0.140-0.840,0.710 5-4.263 μg(all r＞0.999);The average recoveries were 92.30％(RSD=1.65％,n=6),101.28％(RSD=0.81％,n=6)and 98.99％(RSD=0.65％,n=6);The average contents of the three components were 0.201 7,0.084 7 and 1.382 9 mg·g-1,respectively.Conclusions The forming process is stable and feasible,which can provide a reference for the development and application of compound Shexiang Huangqi dropping pills;The gas chromatography method established can simultaneously determine the contents of borneol,muscone,and ligustilide in compound Shexiang Huangqi dropping pills,which can be used for quality control of compound Shexiang Huangqi dropping pills.

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.

Breast cancer is the leading cause of cancer-related mortality among women worldwide and has drawn extensive research attention.Owing to its molecular heterogeneity,drug resistance,and low therapeutic response,single-modality treatments often fail to achieve satisfactory efficacy or broad applicability.Combination therapy,designed based on the pathophysiological characteristics,related signaling pathways,and biomarkers of breast cancer,has emerged as a promising approach for improving therapeutic outcomes.With the advancement of research on combination strategies,the understanding of their molecular mechanisms—particularly key signaling pathways and biomarkers—has become increasingly important.However,comprehensive reviews addressing these molecular mechanisms and synergistic strategies remain scarce.This article summarizes recent advances in combination therapy for breast cancer,providing a comprehensive review of recent combination therapies for breast cancer and their underlying molecular mechanisms,and focusing on key signaling pathways involved in combination therapy and synergistic strategies,thereby providing theoretical insights and reference for researchers,graduate students,and clinicians engaged in the development of novel combination therapeutic strategies for breast cancer and related malignancies.

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.

Breast cancer is the leading cause of cancer-related mortality among women worldwide and has drawn extensive research attention.Owing to its molecular heterogeneity,drug resistance,and low therapeutic response,single-modality treatments often fail to achieve satisfactory efficacy or broad applicability.Combination therapy,designed based on the pathophysiological characteristics,related signaling pathways,and biomarkers of breast cancer,has emerged as a promising approach for improving therapeutic outcomes.With the advancement of research on combination strategies,the understanding of their molecular mechanisms—particularly key signaling pathways and biomarkers—has become increasingly important.However,comprehensive reviews addressing these molecular mechanisms and synergistic strategies remain scarce.This article summarizes recent advances in combination therapy for breast cancer,providing a comprehensive review of recent combination therapies for breast cancer and their underlying molecular mechanisms,and focusing on key signaling pathways involved in combination therapy and synergistic strategies,thereby providing theoretical insights and reference for researchers,graduate students,and clinicians engaged in the development of novel combination therapeutic strategies for breast cancer and related malignancies.