This article systematically reviews the current research status as well as diagnosis and treatment strategies of traditional Chinese medicine （TCM） for gastroesophageal reflux disease （GERD）. Studies demonstrate that TCM， based on the "disease-syndrome combination" approach， exhibits multi-target advantages in alleviating symptoms of various GERD subtypes， promoting mucosal repair， regulating emotions， and facilitating the reduction of western medication. To address clinical challenges such as symptom overlap and limited therapeutic efficacy， strategies have been proposed including "treating different diseases with the same method" and integrated regulation based on viscera correlation. Future efforts should focus on elucidating the mechanisms of compound prescriptions， promoting TCM drug development under the "three-combination" evaluation framework that integrates TCM theory， human experience and clinical trial evidence， and optimizing integrated traditional and western medicine models to enhance GERD management.

BackgroundPersistent cognitive impairment is prevalent among patients with stable schizophrenia. While serum total bile acid （TBA） level in acute-phase patients are known to be associated with cognitive dysfunction， the relationship between serum TBA and multi-dimensional cognitive functions in stable phase patients remains unclear. ObjectiveTo investigate the correlation between serum TBA level and cognitive function in patients with stable schizophrenia， and to evaluate its predictive value for cognitive impairment， thereby providing a serological biomarker for the timely identification and objective assessment of cognitive dysfunction. MethodsA cross-sectional study was conducted on 137 inpatients with stable schizophrenia at The Fourth People's Hospital of Yancheng from March to December 2024. All participants met the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5）. Cognitive function was evaluated using the Chinese Brief Cognitive Test （C-BCT）， patients were categorized into four groups： normal cognition （n=28）， mild impairment （n=28）， moderate impairment （n=47）， and severe impairment （n=34）. Fasting venous blood samples were collected， and serum TBA level was quantified using an enzymatic cycle assay. Spearman correlation analysis was ultilized to determine the relationship between serum TBA level， overall cognitive function， and specific cognitive domains. Binary Logistic regression model was used （adjusting for covariates such as age， gender， and disease duration） to analyze the impact of serum TBA level on overall and individual cognitive functions. The predictive value of serum TBA level for overall cognitive impairment was evaluated using receiver operating characteristic （ROC） curve. ResultsSerum TBA levels differed significantly among the four groups （H=18.677， P<0.01）. Specifically， serum TBA levels in both the moderate and severe cognitive impairment groups were significantly higher than those in the normal cognitive group （adjusted P<0.01）. Serum TBA level was positively correlated with the severity grading of overall cognitive impairment （r_s=0.354， P<0.05）， and negatively correlated with T-scores on the trail making test （r_s=-0.328， P<0.05）， continuous performance test （r_s=-0.247， P<0.05）， digit span （r_s=-0.265， P<0.05）， and symbol coding （r_s=-0.221， P<0.05）. Binary Logistic regression analysis identified serum TBA level as an independent risk factor for overall cognitive impairment （OR=1.322， 95% CI： 1.021 - 1.713， P=0.034）， with a particularly robust predictive ability for impaired information processing speed （OR=1.325， 95% CI： 1.057 - 1.661， P=0.015）. The area under ROC curve （AUC） for serum TBA level in predicting overall cognitive impairment was 0.738， with a sensitivity of 60.61% and a specificity of 78.64%. ConclusionIn patients with stable schizophrenia， elevated serum TBA levels are associated with worse overall cognitive function， as well as deficits in information processing speed， attention， working memory， and executive function. Serum TBA serves as an independent risk factor and exhibits moderate predictive value for overall cognitive impairmen，particularly in the domain of information processing speed. ［Funded by Yancheng Municipal Health Commission Medical Research Project （number， YK2024141）］

Objective To explore the prevalence of depressive symptoms in postoperative patients with ovarian cancer and to analyze its influencing factors from multiple dimensions, including clinical characteristics, psychological factors, and laboratory indicators. Methods A cross-sectional study was conducted, which enrolled 235 postoperative patients with ovarian cancer. Depressive status was assessed using the patient health questionnaire, and the demographic, pathological, and medical record data of the patients were collected using the generalized anxiety disorder scale, Pittsburgh sleep quality index, European organization for research and treatment of cancer quality of life questionnaire core 30, and ECOG performance status score. Peripheral blood tumor marker (CA125), routine blood test, lymphocyte subsets, and serum cytokine levels were measured. Univariate and multivariate binary logistic regression analysis were used for statistical analysis. Results The prevalence of depression in postoperative patients with ovarian cancer was 39.15% (92/235). Univariate analysis showed that ECOG score ≥ 2 points, pain, anxiety, poor sleep quality, low quality of life, low life satisfaction, tumor recurrence, six or more cycles of chemotherapy, as well as higher levels of CA125, NLR, and NAR, and lower hemoglobin levels were significantly associated with depression (all P<0.05). Multivariate binary Logistic regression analysis showed that anxiety (OR=1.975, 95%CI: 1.231-3.170), sleep efficiency (OR=4.181, 95%CI: 1.211-14.43), sleep latency (OR=34.806, 95%CI: 4.258-284.542), ECOG performance status score, cognitive function (OR=0.918, 95%CI: 0.868-0.97), and life satisfaction were independent risk factors for depression (all P<0.05). Laboratory indicators were not independent influencing factors in the multivariate Logistic regression model. Conclusion Depression in postoperative patients with ovarian cancer is influenced by physiological, psychological, and social factors. Clinical management should focus on patients with anxiety, sleep disorders, poor physical condition, and low life satisfaction, and a comprehensive prevention and treatment strategy centered on psychological intervention and taking into account symptom management and social support should be implemented.

It is considered that "turbid pathogen damaging the clear， and the loss of clarity and harmony regulation" is the core pathogenesis of esophageal precancerous lesions， with turbid pathogen persisting throughout the disease course. Turbid pathogen encompasses qi turbidity， phlegm turbidity， stasis turbidity， and toxin turbidity， closely related to dietary indiscretion， emotional disharmony， spleen-stomach deficiency， and kidney deficiency failing to consolidate. Turbid pathogen undergoes a dynamic evolution process of qi constraint generating turbid→ phlegm-stasis transforming into toxin→turbidity toxin harming the healthy qi， corresponding to the pathological alterations of hypoxia， inflammation and immunosuppression within the tumor microenvironment. The overall therapeutic principle is to remove turbidity and restore clarity. In the early stage， targeting the hypoxic tumor microenvironment， the suggested treatment method is opening constraint and dispersing the block， regulating qi and remove turbidity， with emphasis on soothing liver and regulating stomach， raising the clear and directing the turbid downward. In the middle stage， targeting inflammatory microenvironment， the treatment aims to clear toxin and dissipate nodules， resolve stasis and eliminate turbid， emphasizing phlegm-stasis elimination， turbid-toxin resolution， and concurrent stomach qi protection. In the late stage， corresponding to immunosuppressive microenvironment， the method of boosting qi， nourishing yin， reinforcing healthy qi， and eliminating turbidity can be used， with focus on spleen-stomach tonification， kidney essence replenishment， and healthy qi reinforcement to expel pathogenic factors.

AIM: To explore the application value of machine learning models in predicting the myopia control efficacy of orthokeratology(OK)in pediatric population, and analyze the key factors affecting axial length(AL)elongation.METHODS: This retrospective study included myopic subjects aged 8-17 y who were fitted with OK lenses and completed a 6 mo follow-up between January 1, 2021 and December 1, 2023. Baseline demographic and ocular biometric parameters were collected, including age, eye laterality, cycloplegic refraction, corneal curvature(K1 and K2)and AL. AL change(ΔAL)at 6 mo after lens wearing was defined as the primary outcome. Four machine learning models—decision tree, random forest, extreme gradient boosting(XGBoost), and neural network—were developed to predict treatment efficacy, and their predictive performance was compared. Multiple linear regression analysis was performed to identify relevant factors associated with ΔAL.RESULTS: A total of 102 myopic patients(159 eyes)aged 8-17 y were included in this study, including 57 bilateral eyes and 45 unilateral cases. Among them, 56 were boys(54.9%)and 46 were girls(45.1%). The mean age was 11.98±1.93 y. At baseline, the mean spherical error was -2.28±1.37 D, the mean cylindrical power was -0.65±0.36 D, and AL was 24.60±0.82 mm, the mean flat keratometry(K1)was 42.55±1.39 D, and the mean steep keratometry(K2)was 43.58±1.44 D.After 6 mo of lens wear, the AL increased to 24.68±0.59 mm, The mean spherical power was -2.45±1.46 D, the cylindrical power was -0.68±0.38 D, the K1 value was 42.52±1.33 D, and the K2 value was 43.61±1.51 D. The mean ΔAL was 0.08±0.17 mm.The performance comparison of four machine learning models in predicting the efficacy of OK on AL control showed that the decision tree model achieved the best predictive performance(MAE=0.11, MSE=0.02, R2=0.44). Feature importance analysis indicated that age, baseline AL and K1 were the top three predictors. Multiple linear regression showed that age was negatively associated with ΔAL(β=-0.03, P<0.001), while other variables were not significantly associated(all P>0.05).CONCLUSION: Machine learning models can effectively predict the efficacy of OK in controlling axial elongation in children. The decision tree model shows the best performance. Age is a key factor affecting the therapeutic effect of OK, while baseline AL and corneal curvature also contribute to prediction.This study provides new data support for individualized myopia prevention and control strategies in the pediatric population.

AIM: To review and summarize the current research and achievements in the field of diabetic cataract, with the aim of better identifying research hotspots and trends in this area.METHODS: Based on the relevant literature retrieved from the China National Knowledge Infrastructure, Web of Science databases, and Pubmed, a bibliometric analysis of the diabetic cataract was conducted by means of Microsoft Office Excel 2017 and CiteSpace 6.3R2. Research hotspots were subsequently synthesized after visualizations of author/country collaborations, co-citation networks of highly cited literature, keyword clustering, and emergence.RESULTS: A total of 815 Chinese and 572 English publications were finally included. Overall, this field had maintained substantial scholarly attention globally, though publications had progressively decreased since 2018. While inter-institutional collaboration in this area remained limited, a multinational collaborative network had emerged with the People's Republic of China, the United States of America, the United Kingdom, and the Kingdom of Spain as central hubs. Core research priorities in diabetic cataract consistently encompassed surgical and pharmacological interventions, pathogenesis, associated ocular/systemic complications; while international and domestic research contents aligned fundamentally in these domains, but the domestic research was unique in nursing interventions and herbal medicine-based interventions. Recent analytical trends revealed that Chinese investigations prioritized the pathogenic mechanisms of diabetic cataract, whereas international efforts concentrated on clinical therapeutics.CONCLUSION: This bibliometric analysis of diabetic cataract research literature(2000-2024)synthesizes the current advancements, research priorities, and scholarly contributions in the field, and intuitively demonstrates significant academic merit and clinical relevance, which can provide evidence-based guidance for the future research trajectories.

Treatment based on meridian differentiation is a characteristic method in clinical acupuncture diagnosis and treatment. Accurately defining and explaining its main content and core concepts is essential for effective clinical guidance. This paper reviews the historical and contemporary understanding, concepts, and primary content of treatment based on meridian differentiation. It proposes a four-step process for clinical application: meridian examination, treatment based on meridian differentiation, acupoint selection, and appropriate treatment methods, with TCM syndrome differentiation applied throughout. Constructing a diagnostic and treatment system which is based on meridian differentiation and suited to clinical acupuncture is significant for enhancing therapeutic efficacy and maximizing the benefits of acupuncture in disease treatment.
Humans ; Meridians ; Acupuncture Therapy/methods* ; Acupuncture Points ; Medicine, Chinese Traditional

ObjectiveThis study aims to explore the effects of Huangqin Qingre Chubi capsules-containing serum on the expression of CircRNA_0001543/nuclear factor-kappa B （NF-κB） in co-cultured peripheral blood mononuclear cells （PBMCs） and human fibroblast-like synoviocytes （FLSs） from patients with ankylosing spondylitis （AS）. MethodsVenous blood was collected from patients with AS to isolate PBMCs. FLSs were co-cultured with AS patients' PBMCs， and FLSs were harvested after co-culture for subsequent experiments. The normal control group consisted of normal FLSs， while the model group comprised co-cultured AS PBMCs and FLSs to simulate AS pathology. The Huangqin Qingre Chubi capsules group involved adding Huangqin Qingre Chubi capsules-containing serum to the co-cultured cells（6.48 g·kg^-1）. To investigate the effect of HQC-containing serum on the viability of co-cultured cells， and the experiment was divided into the following groups based on the dilution concentration： blank group， 10% HQC group， 20% HQC group， and 30% HQC group.To study the influence of the optimal concentration of HQC-containing serum on cytokine and pathway indicators in each group， the experiment was divided into three groups： normal group， model group， and optimal concentration HQC-containing serum group.For the validation of the transfection efficiency of the CircRNA_0001543 interference plasmid， the experiment was divided into the following groups： blank group， si-NC group （with transfection reagent）， si-circ_0001543-1 group （with transfection reagent and interference plasmid No. 1 targeting circ_0001543）， si-circ_0001543-2 group （with transfection reagent and interference plasmid No. 2 targeting circ_0001543）， and si-circ_0001543-3 group （with transfection reagent and interference plasmid No. 3 targeting circ_0001543）.For the validation of the transfection efficiency of the CircRNA_0001543 overexpression plasmid， the experiment was divided into the following groups： blank group， OE-NC group （with transfection reagent）， and OE-circ_0001543 group （with transfection reagent and overexpression plasmid targeting circ_0001543）.To study the effects of CircRNA_0001543 interference/overexpression on cytokine and pathway indicators in each group， the experiment was divided into the following groups： si-NC group， si-CircRNA_0001543 group， OE-NC group， and OE-CircRNA_0001543 group. Enzyme-linked immunosorbent assay （ELISA） was used to detect levels of interleukin-1β （IL-1β）， IL-10， IL-37， and tumor necrosis factor-α （TNF-α）. Real-time quantitative polymerase chain reaction （Real-time PCR） was utilized to measure the expression of CircRNA_0001543， IκBα， and NF-κB p65. ResultsAfter 48 hours， 30% Huangqin Qingre Chubi Capsules-containing serum significantly inhibited the proliferation of co-cultured PBMCs and FLSs， which was determined to be the optimal experimental drug-containing serum concentration. Compared with those in the normal group， the expressions of NF-κB p65 mRNA， IκBα mRNA， IL-1β， and TNF-α in the model group were significantly increased （P<0.01）， while the expressions of CircRNA_0001543 mRNA， IL-10， and IL-37 were significantly decreased （P<0.01）. Compared with those in the model group， the expressions of NF-κB p65 mRNA， IκBα mRNA， IL-1β， and TNF-α in the Huangqin Qingre Chubi Capsules-containing serum group were significantly decreased （P<0.05）， and the expressions of CircRNA_0001543 mRNA， IL-10， and IL-37 were significantly increased （P<0.05）， with the most prominent changes in the 30% drug-containing serum group （P<0.01）. Compared with that in the si-NC group， the expression of CircRNA_0001543 was significantly reduced in the si-CircRNA_0001543 group （P<0.01）. Compared with that in the OE-NC group， the expression of CircRNA_0001543 was significantly increased in the OE-CircRNA_0001543 group （P<0.01）， indicating that the si-CircRNA_0001543 and OE-CircRNA_0001543 plasmids were successfully transfected. Based on the optimal drug-containing serum of Huangqin Qingre Chubi Capsules， si-CircRNA_0001543 transfection led to significantly increased expressions of NF-κB p65 mRNA， IκBα mRNA， IL-1β， and TNF-α and decreased the expressions of IL-10 and IL-37 （P<0.01）. In contrast， OE-CircRNA_0001543 transfection significantly decreased the expressions of NF-κB p65 mRNA， IκBα mRNA， IL-1β， and TNF-α （P<0.01） and increased the expressions of IL-10 and IL-37 （P<0.01）. ConclusionHuangqin Qingre Chubi capsules-containing serum can improve immune inflammation in AS by increasing the expression of CircRNA_0001543， regulating the NF-κB pathway， suppressing pro-inflammatory cytokines， and enhancing anti-inflammatory cytokine expression.