To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

OBJECTIVE To investigate the effect and potential mechanism of astilbin （AST） on renal injury in chronic renal failure （CRF） rats based on the Jagged-1/Notch-1 signaling pathway. METHODS CRF model was constructed by 5/6 nephrotomy. The successfully modeled rats were randomly separated into Model group， AST low-dose group （AST-L group）， AST high-dose group （AST-H group）， high-dose of AST+Notch pathway activator （Jagged-1/FC chimerin， referred to as “JFC”） group （AST-H+ JFC group）， and control group （CK group） for open surgery without resection was set up， with 10 rats in each group. The rats in the AST-L group and AST-H group were given 40 and 80 mg/kg AST， respectively； the rats in the AST-H+JFC group were simultaneously given 80 mg/kg AST and 0.5 mg/kg JFC， and the rats in the CK group and Model group were given an equal volume of normal saline， once a day， for 4 weeks. After the last administration， the serum levels of blood urea nitrogen （BUN）， serum creatinine （SCr）， and the level of 24 h urinary protein （UP） in urine， as well as the serum levels of lactate dehydrogenase （LDH）， tumor necrosis factor-α （TNF-α）， interleukin-6 （IL-6） and IL-10 in each group were detected. The morphology and fibrosis of renal tissue were observed. The content of adenosine triphosphate （ATP） and the activities of sodium-potassium ATPase and calcium-magnesium ATPase in mitochondria of renal tissue were detected. The protein expressions of transforming growth factor- β （TGF- β）， hypoxia-inducible factor-1α （HIF-1α）， α-smooth muscle actin （α-SMA）， cleaved-caspase-3， Jagged-1 and Notch-1 in renal tissue were also observed. RESULTS Compared with CK group， the renal tissue of rats in the Model group was obviously damaged， renal tissue fibrosis was severe； the serum BUN and SCr levels， urine UP level， serum 4 LDH， TNF-α and IL-6 levels， as well as the protein expressions of TGF-β， HIF-1α， α-SMA， cleaved-caspase-3， Jagged-1 and Notch-1 in renal tissue were significantly increased， while the serum IL-10 level， ATP content and activities of sodium-potassium ATPase and calcium-magnesium ATPase in mitochondria of renal tissue were significantly decreased （P＜0.05）. Compared with Model group， the renal tissue damage and fibrosis in the AST groups were reduced， the serum BUN and SCr levels， urine UP level， serum LDH， TNF-α and IL-6 levels， and the protein expressions of TGF-β， HIF-1α， α-SMA， cleaved-caspase-3， Jagged-1 and Notch-1 were significantly decreased， while the serum IL-10 level， ATP content and the activities of sodium-potassium ATPase and calcium-magnesium ATPase in mitochondria were significantly increased； the changes in the aforementioned indicators in AST- H group were more significant than those in the AST-L group（P＜0.05）. JFC could significantly reverse the improvement effect of high dose of AST on renal injury in CRF rats （P＜0.05）. CONCLUSIONS AST can reduce inflammation in CRF rats， alleviate renal tissue damage and fibrosis， and improve renal mitochondrial capacity metabolism， possibly by inhibiting the Jagged-1/Notch-1 signaling pathway.

ObjectiveTo investigate the features of serum HBV RNA in different stages of the natural history of chronic hepatitis B virus （HBV） infection without antiviral treatment， as well as its correlation with serum HBV DNA and HBsAg. MethodsA total of 306 treatment-naïve patients with chronic HBV infection who attended Department of Infections Diseases and Hepatoloty， the Second Hospital of Shandong University from January 2023 to June 2024 were divided into six groups based on the different stages of natural history， i.e.， HBeAg-positive chronic HBV infection group with 29 patients， HBeAg-positive chronic hepatitis B （CHB） group with 107 patients， HBeAg-negative chronic HBV infection group with 18 patients， HBeAg-negative CHB group with 60 patients， HBeAg-positive indeterminate-phase chronic HBV infection group with 7 patients， and HBeAg-negative indeterminate-phase chronic HBV infection group with 85 patients. Real-time isothermal RNA amplification was used to measure serum high-sensitivity HBV RNA. The Kruskal-Wallis H test was used for comparison between multiple groups of continuous data， while the Mann-Whitney U test was used for comparison between two groups. The Spearman method was used to investigate the correlation of HBV RNA with HBV DNA and HBsAg. ResultsThe HBeAg-positive chronic HBV infection group showed the highest level of serum HBV RNA ［7.5 （7.4‍ ‍—‍ ‍7.9） log₁₀ copies/mL］， followed by the HBeAg-positive CHB group ［7.4 （6.4‍ ‍—‍ ‍7.9） log₁₀ copies/mL］， the HBeAg-negative CHB group ［4.5 （3.0‍ ‍—‍ ‍5.7） log₁₀ copies/mL］， and the HBeAg-negative chronic HBV infection group ［1.0 （1.0‍ ‍—‍ ‍2.0） log₁₀ copies/mL］； the HBeAg-positive indeterminate-phase chronic HBV infection group had a serum HBV RNA level of 3.9 （3.7‍ ‍—‍ ‍5.7） log₁₀ copies/mL， and the HBeAg-negative indeterminate-phase chronic HBV infection group had a serum HBV RNA level of 2.0 （1.0‍ ‍—‍ ‍3.0） log₁₀ copies/mL； there was a significant difference in serum HBV RNA level between the six groups （H=830.770， P<0.001）. There was a significant difference in HBV RNA level between the HBeAg-positive chronic HBV infection group and all the other groups except the HBeAg-positive CHB group （all P<0.001）. In the 306 patients with HBV infection， HBV RNA was strongly correlated with HBV DNA （r=0.92， P<0.001） and was moderately correlated with HBsAg （r=0.67， P<0.001）. The correlation between serum HBV RNA and HBsAg in HBeAg-positive patients （r=0.61， P<0.001） was stronger than that in HBeAg-negative patients （r=0.31， P<0.001）. For the patients with HBeAg-positive chronic HBV infection， the male patients with ALT>30 U/L and the female patients with ALT>19 U/L had a significantly lower serum HBV RNA level than the male patients with ALT≤30 U/L and the female patients with ALT≤19 U/L （P<0.001）， and there was no significant difference in serum HBV RNA level between the latter group of patients and the HBeAg-positive CHB group （P>0.05）. ConclusionIn patients with chronic HBV infection who do not receive antiviral therapy， there is a difference in serum HBV RNA level in different stages of natural history， and serum HBV RNA level has the strongest correlation with HBV DNA and a relatively weak correlation with HBsAg. In patients with HBeAg-positive chronic HBV infection， serum HBV RNA level in male patients with ALT>30 U/L and female patients with ALT>19 U/L are in the transition stage between HBeAg-positive chronic HBV infection and HBeAg-positive CHB.

The excessive accumulation of advanced glycosylation end products(AGEs), the end products of non-enzymatic glycosylation reactions, can be involved in the pathological processes of various ocular diseases through mechanisms such as oxidative stress, inflammatory responses and apoptosis. In this paper, we systematically reviewed the key role of AGEs in diabetic keratopathy, cataract, glaucoma, age-related macular degeneration(ARMD)and diabetic retinopathy(DR). It was found that AGEs activate signalling pathways such as NADPH oxidase, MAPK and NF-κB by binding to the receptor RAGE, leading to reactive oxygen species(ROS)generation, release of inflammatory factors, and vascular endothelial dysfunction, which in turn induces delayed corneal healing, cross-linking of lens proteins, optic nerve degeneration, formation of choroidal neovascularisation(CNV), and blood-retinal barrier(BRB)disruption. For example, in diabetic keratopathy, AGEs delay wound healing via the ROS/NLRP3 inflammatory vesicle axis; in cataract, ascorbic acid-mediated cross-linking of lens proteins due to AGEs directly impairs lens transparency; and in DR, AGEs exacerbate microvascular damage by regulating vasucular endothelial growth factor(VEGF)expression and pericyte apoptosis. In addition, this article discusses the advances and limitations of AGEs detection techniques, such as the potential application of lens AGEscan fluorescence assay in screening for diabetic complications, and the need to develop tissue-specific assays for aqueous humour and vitreous. For therapeutic strategies, the research directions of inhibiting AGEs production, blocking RAGE signalling pathway and developing anti-glycosylation drugs are proposed to emphasise their clinical value in delaying disease progression. This review not only integrates the molecular mechanisms and clinical associations of AGEs in ocular diseases, but also provides a theoretical basis for targeted interventions, which is of great significance in exploring novel diagnostic and therapeutic strategies.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

AIM:To observe the therapeutic efficacy of 25G+minimally invasive vitrectomy for retinal arterial macroaneurysm.METHODS:Totally 40 patients(40 eyes)who admitted to Jinan Mingshui Eye Hospital from January 2021 to May 2024 and with vitreous hemorrhage or dense premacular hemorrhage in the macular area caused by retinal arterial macroaneurysm, underwent 25G+minimally invasive vitrectomy. Preoperative and postoperative best-corrected visual acuity(BCVA), complications, and special cases were analyzed.RESULTS: The general patient data aligned with previous literature reports. The postoperative BCVA was significantly improved(t=9.72, P<0.01), and no significant serious surgical complications were observed. Notably, intraoperative findings revealed secondary macular holes in 3 eyes, resulting in poor visual prognosis.CONCLUSION: For vitreous hemorrhage or dense premacular hemorrhage caused by retinal arterial macroaneurysm, 25G+ minimally invasive vitrectomy is a safe and effective treatment. Visual prognosis was excluded for secondary macular holes.

Background/Aims: The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. Methods: The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher’s stepwise discriminant analysis. The model’s effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Results: Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. Conclusions The multimodal ultrasound diagnostic model, established through Fisher’s stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.