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.

Objective A serum proteomic approach was used to explore the targets of action of Peitu Qingxin Granules(composed of Rhizoma Atractylodis Macrocephalae,Forsythiae Fructus,Imperatae Rhizoma,Pseudostellariae Radix,etc.)in the treatment of atopic dermatitis.Methods Five patients with atopic dermatitis were selected and treated with Peitu Qingxin Granules for 12 weeks,and five healthy volunteers were used as controls.The clinical core evaluation indexes of atopic dermatitis patients after treatment,including Eczema Area and Severity Index/Scoring Atopic Dermatitis(EASI/SCORAD),Pruritus Score,Patient-Oriented Eczema Measure(POEM),and quality of life index,were assessed.Serum samples were examined using data-independent acquisition-mass spectrometry(DIA-MS)technology,and serum differential proteins between atopic dermatitis patients and healthy people,as well as serum differential proteins in atopic dermatitis patients before and after treatment with Peitu Qingxin Granules were screened according to P＜0.05 and Fold Change>1.2.GO function enrichment analysis and KEGG pathway enrichment analysis were performed on the differential proteins.Results(1)Compared with the pre-treatment period,the clinical core evaluation indexes of patients with atopic dermatitis,including the EASI/SCORAD,Pruritus Score,POEM,and quality-of-life index,were significantly improved after treatment,and the differences were all statistically significant(P＜0.05,P＜0.01).(2)A total of 28 differential proteins were analyzed in the healthy control group and atopic dermatitis group,of which 12 proteins expressions were increased and 16 proteins were decreased,including ALAD(δ-aminolevulinic acid dehydrogenase),LTA4H(leukotriene A-4 hydrolase),CA1(carbonic anhydrase 1),F11(coagulation factor XI),and LCP1(lymphocyte cytoplasmic protein 1),etc..The main signaling pathways involved are PI3K-AKT signaling pathway,lipids and atherosclerosis,ECM-receptor interaction,platelet activation,NF-κB signaling pathway,and neutrophil extracellular trap formation.(3)A total of 12 different proteins were analyzed in atopic dermatitis patients before and after treatment with Peitu Qingxin Granules,of which 8 proteins were increased and 4 proteins were decreased,including ALAD,FGA(fibrinogen α-chain),IGHV3-64D,and IGHV3-38.They were mainly involved in signaling pathways such as lipids and atherosclerosis,complement pathway,Staphylococcus aureus infection,NF-κB signaling pathway,fluid shear stress and atherosclerosis.(4)The expressions of three protein targets including ALAD,FGA and IGHV3-64D,were significantly down-regulated in patients with atopic dermatitis and significantly up-regulated after treatment with Peitu Qingxin Granules.Conclusion The differentially expressed proteins ALAD,FGA and IGHV3-64D may be the action targets of Peitu Qingxin Granules in the treatment of atopic dermatitis,which lays the foundation for further experimental validation.