Lipid turbidity disease is a metabolic disease featuring lipid metabolism disorders caused by many factors such as social environment， diet， and lifestyle， which is closely related to many diseases in modern medicine， such as hyperlipidemia， obesity， fatty liver， atherosclerosis， metabolic syndrome， and cardiovascular and cerebrovascular diseases， with a wide range of influence and far-reaching harm. According to the Huangdi Neijing， lipid turbidity disease reflects the pathological change of the body's physiologic grease. Grease is the thick part of body fluids， which has the function of nourishing， and it is the initial state and source of important substances in the human body such as brain， marrow， essence， and blood. Once the grease of the human body is abnormal， it can lead to lipid turbidity disease. The Huangdi Neijing also points out the physiological relationship between the transportation and transformation of body fluids and the rise and fall of the spleen and stomach， which can deduce the pathological relationship between the occurrence of lipid turbidity disease and the abnormal rise and fall of the spleen and stomach functions. Lipid turbidity disease is caused by overconsumption of fatty and sweet foods or insufficient spleen and stomach endowments， leading to disorders of the function of promoting clear and reducing turbidity in the spleen and stomach. This leads to the transformation of thick grease in body fluids into lipid turbidity， which accumulates in the body's meridians， blood vessels， skin pores， and organs， forming various forms of metabolic diseases. The research team believed that the pathological basis of lipid turbidity disease was the abnormal rise and fall of the spleen and stomach and the obstruction of the transfer of grease. According to the different locations where lipid turbidity stays， it was divided into four common pathogenesis types： ''inability to distinguish between the clear and turbid， turbid stagnation in the Ying blood''， ''spleen not rising clear， turbid accumulation in the vessels''， ''spleen dysfunction， lipid retention in the pores''， ''spleen failure to transportation and transformation， and grease accumulation in the liver''. According to the pathogenesis， it could be divided into four common syndromes， namely， turbid stagnation in the Ying blood， turbid accumulation in the vessels， lipid retention in the pores， and grease accumulation in the liver， and the corresponding prescriptions were given for syndrome differentiation and treatment， so as to guide clinical differentiation and treatment of the lipid turbidity disease.

ObjectiveTo observe the clinical efficacy and safety of Zhuyuwan in the treatment of hyperlipidemia. MethodsIn this study， hyperlipidemia patients treated in the Hospital of Chengdu University of Traditional Chinese Medicine （TCM） from September 2022 to December 2023 were randomly assigned into a control group and an observation group. Finally， 162 valid cases were included， encompassing 74 cases in the control group and 88 cases in the observation group. The control group was treated with atorvastatin calcium tablets， and the observation group with atorvastatin calcium tablets + Zhuyuwan extract granules. Both groups were treated for 8 weeks. The efficacy in terms of blood lipid level recovery， blood lipid levels， TCM syndrome distribution， efficacy in terms of TCM syndrome， and TCM symptom scores were compared between the two groups as well as between before and after treatment. Liver and kidney functions were monitored for safety assessment. ResultsIn terms of blood lipid level recovery， the total response rate in the observation group was 86.36% （76/88） and that in the control group was 86.49% （64/74）， with no statistically significant difference between the two groups. After treatment， both groups showed declines in levels of triglyceride （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） （P<0.05） and elevations in the level of high-density lipoprotein cholesterol （HDL-C） （P<0.05）. Moreover， the observation group outperformed the control group in recovering the levels of TG， LDL-C， and HDL-C （P<0.05， P<0.01）. In terms of TCM syndrome， hyperlipidemia was mostly caused by phlegm turbidity and obstruction. The total response rate in terms of TCM syndrome in the observation group was 87.30% （55/63）， which was higher than that （63.46%， 33/52） in the control group （χ²=9.102， P<0.01）. After treatment， the scores of total TCM symptoms， primary symptoms， and secondary symptoms decreased in both groups （P<0.05）， and the observation group had lower scores than the control group （P<0.01）. The observation group was superior to the control group in alleviating obesity， chest tightness， and low food intake （P<0.05）. In terms of safety， the level of aminotransferase was slightly elevated in the control group， and no obvious adverse reaction was observed in the observation group， with no statistical significance in the incidence of adverse reactions. ConclusionZhuyuwan combined with atorvastatin can not only recover blood lipid levels and alleviate TCM symptoms but also reduce the occurrence of adverse reactions.

ObjectiveTo observe the clinical efficacy and safety of Zhuyuwan in the treatment of hyperlipidemia. MethodsIn this study， hyperlipidemia patients treated in the Hospital of Chengdu University of Traditional Chinese Medicine （TCM） from September 2022 to December 2023 were randomly assigned into a control group and an observation group. Finally， 162 valid cases were included， encompassing 74 cases in the control group and 88 cases in the observation group. The control group was treated with atorvastatin calcium tablets， and the observation group with atorvastatin calcium tablets + Zhuyuwan extract granules. Both groups were treated for 8 weeks. The efficacy in terms of blood lipid level recovery， blood lipid levels， TCM syndrome distribution， efficacy in terms of TCM syndrome， and TCM symptom scores were compared between the two groups as well as between before and after treatment. Liver and kidney functions were monitored for safety assessment. ResultsIn terms of blood lipid level recovery， the total response rate in the observation group was 86.36% （76/88） and that in the control group was 86.49% （64/74）， with no statistically significant difference between the two groups. After treatment， both groups showed declines in levels of triglyceride （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） （P<0.05） and elevations in the level of high-density lipoprotein cholesterol （HDL-C） （P<0.05）. Moreover， the observation group outperformed the control group in recovering the levels of TG， LDL-C， and HDL-C （P<0.05， P<0.01）. In terms of TCM syndrome， hyperlipidemia was mostly caused by phlegm turbidity and obstruction. The total response rate in terms of TCM syndrome in the observation group was 87.30% （55/63）， which was higher than that （63.46%， 33/52） in the control group （χ²=9.102， P<0.01）. After treatment， the scores of total TCM symptoms， primary symptoms， and secondary symptoms decreased in both groups （P<0.05）， and the observation group had lower scores than the control group （P<0.01）. The observation group was superior to the control group in alleviating obesity， chest tightness， and low food intake （P<0.05）. In terms of safety， the level of aminotransferase was slightly elevated in the control group， and no obvious adverse reaction was observed in the observation group， with no statistical significance in the incidence of adverse reactions. ConclusionZhuyuwan combined with atorvastatin can not only recover blood lipid levels and alleviate TCM symptoms but also reduce the occurrence of adverse reactions.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

Background: Gestational diabetes mellitus (GDM) is a metabolic disorder posing significant risks to maternal and infant health, with a lack of effective early screening markers. Therefore, identifying early screening biomarkers for GDM with higher sensitivity and specificity is urgently needed. Methods: High-throughput sequencing was employed to screen for key circular RNAs (circRNAs), which were then evaluated using reverse transcription quantitative polymerase chain reaction. Logistic regression analysis was conducted to examine the relationship between clinical characteristics, circRNA expression, and adverse pregnancy outcomes. The diagnostic accuracy of circRNAs for early and mid-pregnancy GDM was assessed using receiver operating characteristic curves. Pearson correlation analysis was utilized to explore the relationship between circRNA levels and oral glucose tolerance test results. A predictive model for early GDM was established using logistic regression. Results: Significant alterations in circRNA expression profiles were detected in GDM patients, with hsa_circ_0031560 and hsa_ circ_0000793 notably upregulated during the first and second trimesters. These circRNAs were associated with adverse pregnancy outcomes and effectively differentiated GDM patients, with second trimester cohorts achieving an area under the curve (AUC) of 0.836. In first trimester cohorts, these circRNAs identified potential GDM patients with AUCs of 0.832 and 0.765, respectively. The early GDM prediction model achieved an AUC of 0.904, validated in two independent cohorts. Conclusion Hsa_circ_0031560, hsa_circ_0000793, and the developed model serve as biomarkers for early prediction or midterm diagnosis of GDM, offering clinical tools for early GDM screening.

ObjectiveTo investigate the modifiable areal unit problem （MAUP） in the spatial pattern of Pseudostellaria heterophylla production regions and reveal the impact of statistical scales on the spatial distribution characteristics of this medicinal plant species. MethodsUsing multi-source data （literature records， field surveys， and statistical data）， we systematically analyzed the spatial patterns across three administrative levels （provincial， prefectural， and county scales）. Spatial autocorrelation （Moran's I） analysis， high-low clustering （Getis-Ord General G）， and hot/cold spot analysis （Getis-Ord Gi*） were employed. ResultsThe literature-based analysis showed that the production regions of P. heterophylla presented random distribution on the provincial scale and significant aggregation on the prefectural scale. The field survey data showed that the production regions displayed random distribution on the provincial scale but significant aggregation on both prefectural and county scales. The statistical data revealed that the production regions lacked spatial autocorrelation on the provincial scale but demonstrated significant aggregation on prefectural and county scales. ConclusionMAUP effects have substantive implications for understanding and decision-making in the arrangement of medicinal plant production regions. The county scale proves to be the most sensitive and explanatory level for analyzing the spatial pattern of P. heterophylla production regions， providing a critical foundation for habitat modeling， suitability evaluation， and ecological cultivation planning of medicinal plants.

Traditional Chinese Medicine (TCM), as a treasure of the Chinese nation, plays a significant role in maintaining public health. In 2019, the Central Committee of the Communist Party of China and the State Council proposed for the first time the establishment of a TCM registration and evaluation evidence system that integrates TCM theory, "personal experience" and clinical trials (referred to as the "Three-in-One" System) to promote the inheritance and innovation of TCM. Subsequently, the National Medical Products Administration issued several guiding principles to advance the improvement and implementation of this system. Owing to the complexity of its implementation, there are still differing understandings within the TCM industry regarding the positioning of the "Three-in-One" Registration and Evaluation Evidence System, as well as the connotation and value orientation of the "personal experience." To address this, Academician WANG Qi, President of the TCM Association, China International Exchange and Promotion Association for Medical and Healthcare and TCM master, led a group of academicians, TCM masters, TCM pharmacology experts and clinical TCM experts to convene a "Seminar on Promoting the Implementation of the ′Three-in-One′ Registration and Evaluation Evidence System for Chinese Medicinals." Through extensive discussions, an expert consensus was formed, clarifying the different roles of the TCM theory, "personal experience" and clinical trials within the system. It was further emphasized that the "personal experience" is the core of this system, and its data should be derived from clinical practice scenarios. In the future, the improvement of this system will require collaborative efforts across multiple fields to promote the high-quality development of the Chinese medicinal industry.

AIM: To explore the clinical features, diagnosis and treatment experience and the distribution characteristics of pathogenic microorganisms of primary canaliculitis, and provide reference for its diagnosis and treatment. METHODS: Retrospective clinical study. A total of 119 cases(120 eyes)diagnosed as primary canaliculitis in the department of ophthalmology of Wuxi No.2 People's Hospital from June 2019 to February 2023 were included. The treatment methods were mainly divided into conservative treatment(removing canaliculus stones through lacrimal punctum combined with injecting antibiotic eye ointment into the tube)and surgical treatment. The inspection methods of pathogenic microorganisms included secretion smear microscopy and microbial culture.RESULTS: Primary canaliculitis was more common in middle-aged and older female, mainly manifested by long-term red eye and increased secretion; however, the majority was not accompanied by tearing. Totally, 118 cases(99.2%)had monocular disease, while 63 cases(63 eyes; 52.5%)had inferior lacrimal canaliculus disease. Laboratory examination: Among 119 cases(120 eyes), 4 cases(4 eyes)did not undergo laboratory examination, and the other 115 cases(116 eyes)were as follows: Gram staining microscopy of secretion smear showed that Actinomyces were detected in 102 cases(103 eyes; 88.8%), while no fungus was detected; Microbial culture: 85 cases(86 eyes; 74.1%)were positive for bacterial culture. A total of 111 bacterial strains were cultured, which contained 26 types of bacteria. Among them, 32 strains were aerobic(28.8%); 26 strains were anaerobic(23.4%); and 53 strains were facultative anaerobic(47.7%). The most common bacteria were streptococcus(20 strains), staphylococcus(13 strains), Propionibacterium(10 strains), and capnocytophaga(10 strains). Only 4 cases(4 eyes; 3.4%)of microbial cultures were positive for Actinomyces. Fungus was negative in all microbial cultures. Treatment: Of the 119 cases(120 eyes), 114 cases(115 eyes; 95.8%)were cured by conservative treatment of removing lacrimal canaliculus stones through lacrimal punctum and intracanalicular ointment infiltration(IOI), while 5 cases(5 eyes)were not effective in conservative treatment; however, all of them were cured after surgical treatment, and the cure rate for primary canaliculitis was 100.0%.CONCLUSION: The incidence of primary canaliculitis is low, and it is prevalent in middle-aged and older female. Single lacrimal canaliculus is more common, which could be missed and misdiagnosed in clinic. Actinomyces is the major pathogen observed mostly in mixed infections, with heterogeneous strains, mainly anaerobic or facultative anaerobic bacteria. Streptococcus and Staphylococcus are the most common whereas fungal canaliculitis is rare. The cure rate of primary canaliculitis is high after diagnosis, and IOI method is recommended as the initial treatment of canaliculitis.