Objective To evaluate the levels and changes in occupational individual external radiation dose in non-medical nuclear utilization units in Nanning City, and to provide a basis for radiation protection in such units. Methods Thermoluminescent dosimeters were used to monitor individual radiation doses among radiation workers in 38 non-medical nuclear utilization units in Nanning City. The results were subjected to statistical analysis. Results From 2021 to 2023, a total of 3724 person-times were monitored in 38 non-medical nuclear utilization units in Nanning City. The mean annual effective dose was 0.101 mSv in 2021, 0.060 mSv in 2022, and 0.094 mSv in 2023, with a three-year average of 0.085 mSv, all well below the occupational exposure limit of 1.0 mSv. Significant differences in mean annual effective doses were observed across occupations and sexes (P<0.05). Female workers received significantly lower mean annual effective dose than male workers. Workers in the cement manufacturing industry had a significantly higher mean annual effective dose compared to those in government institutions and industrial flaw detection practitioners (F = 2.913, P<0.05). No significant differences were found among workers exposed to unsealed radioactive sources, sealed radioactive sources, and radiation-generating equipment (F = 0.585, P>0.05). Conclusion The occupational individual external radiation doses in non-medical nuclear utilization units in Nanning City are at low levels. There are no significant differences in mean annual effective dose across different nuclear utilization units. However, differences in occupational roles between males and females significantly affect the mean annual effective dose.

Objective To explore the impact of number of positive regional lymph nodes (nPRLN) in N1 stage on the prognosis of non-small cell lung cancer (NSCLC) patients. Methods Patients with TxN1M0 stage NSCLC who underwent lobectomy and mediastinal lymph node dissection from 2010 to 2015 were screened from SEER database (17 Regs, 2022nov sub). The optimal cutoff value of nPRLN was determined using X-tile software, and patients were divided into 2 groups according to the cutoff value: a nPRLN≤optimal cutoff group and a nPRLN>optimal cutoff group. The influence of confounding factors was minimized by propensity score matching (PSM) at a ratio of 1 : 1. Kaplan-Meier curves and Cox proportional hazards models were used to evaluate overall survival (OS) and lung cancer-specific survival (LCSS) of patients. Results A total of 1316 patients with TxN1M0 stage NSCLC were included, including 662 males and 654 females, with a median age of 67 (60, 73) years. The optimal cutoff value of nPRLN was 3, with 1165 patients in the nPRLN≤3 group and 151 patients in the nPRLN>3 group. After PSM, there were 138 patients in each group. Regardless of before or after PSM, OS and LCSS of patients in the nPRLN≤3 group were superior to those in the nPRLN>3 group (P<0.001). N1 stage nPRLN>3 was an independent prognostic risk factor for OS [HR=1.52, 95%CI (1.22, 1.89), P<0.001] and LCSS [HR=1.72, 95%CI (1.36, 2.18), P<0.001]. Conclusion N1 stage nPRLN>3 is an independent prognostic risk factor for NSCLC patients in TxN1M0 stage, which may provide new evidence for future revision of TNM staging N1 stage subclassification.

OBJECTIVE To identify tortoiseshell glue and antler glue in Qichong zuogui granules， and determine the contents of 12 chemical components. METHODS Identification and content determination were performed by using liquid chromatography- tandem mass spectrometry （LC-MS/MS） method. The identification was performed on Hypersil GOLD column with a mobile phase consisted of acetonitrile-0.1% formic acid solution （gradient elution）； the electrospray ion source was used to scan in the positive ion multi-reaction detection mode. The mass charge ratio （m/z） 631.3→546.4， 631.3→921.4 was the detection ion pair for tortoiseshell glue， and the m/z 765.4→554.0， 765.4→733.0 was the detection ion pair for antler glue. The determination method for 12 chemical components was as follows： Accucore C18 column， methanol-0.1% formic acid as mobile phase （gradient elution）； scanning range of positive and negative ions was m/z 100→1 000 with the electric spray ion source and single ion detection scanning mode. RESULTS Average retention times of the molecular ion peaks for characteristic peptide segments of tortoiseshell glue and antler glue were 6.28 and 6.77 min， respectively； the linear relationship of 12 chemical components was good within their respective concentration ranges， such as astragaloside Ⅳ， calycosin-7-O-β-D-glucoside， calycosin， chlorogenic acid， ferulic acid， betaine， amygdalin， rutin， hydroxysafflor yellow A， hyperoside， loganin， cyasterone （r＞0.999）； RSDs for precision， stability （24 h） and reproducibility tests were all less than 5%. The average sample recovery rates ranged from 98.04% to 101.08%. The average contents of 12 components were 1.83， 25.73， 13.76，56.71， 23.80， 49.82， 807.49， 15.01， 317.02， 60.21， 202.71 and 17.70 μg/g， respectively. CONCLUSIONS In this study， tortoiseshell glue and antler glue in Qixiong zuogui granules are identified， and the contents of 12 chemical components therein are determined. This provides a reference for the quality control of this granule.

Diabetic nephropathy （DN） is a renal disorder induced by prolonged hyperglycemia， with major pathological features including persistent albuminuria， progressive decline in glomerular filtration rate， and elevated arterial blood pressure. As one of the most common and severe microvascular complications of diabetes， the pathogenesis of DN is complex and multifactorial. Without timely and effective treatment， DN may eventually progress to end-stage renal disease （ESRD）. Currently available therapeutic options are often associated with significant adverse effects and high costs， and a large number of patients still progress to ESRD due to delayed treatment. Therefore， there is an urgent need for safer and more effective treatment strategies to improve the living standards and enhance the survival and quality of life of patients with DN. Modern studies have demonstrated that the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway plays a critical role in oxidative stress， inflammatory responses， autophagy， and glycolysis， and is closely associated with the pathophysiological progression of DN. In recent years， traditional Chinese medicine （TCM） has achieved remarkable progress in the prevention and treatment of DN， supported by rich clinical experience and confirmed therapeutic efficacy. With its characteristics of multi-target， multi-component， and multi-pathway actions， along with minimal side effects， TCM can delay the progression of DN and alleviate patient symptoms. Among these mechanisms， the regulation of the PI3K/Akt signaling pathway has gradually become a research hotspot. This paper systematically reviews the role and mechanisms of the PI3K/Akt signaling pathway in the onset and progression of DN based on extensive literature research， summarizes the latest research advances on the precise modulation of the PI3K/Akt pathway by Chinese medicine monomers， active constituents， Chinese patent medicines， and herbal compound formulas in the treatment of DN， aiming to provide a strong theoretical reference for the development of clinically effective agents for DN prevention and treatment.

ObjectiveExploring the formula rules of commonly used traditional Chinese medicines（TCMs） for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining， providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched， and the contents such as source， dynasty， author， diagnosis， formula name， therapeutic method and efficacy， and composition of medicines from each article that met the inclusion criteria were extracted. Then， an Excel standardized database was established， and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis， Pearson correlation analysis， and association rule analysis. ResultsA total of 1 595 formulas were included， involving 558 TCMs. The efficacy of these medicines could be classified into two categories， namely， expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis， high-frequency medicines were mainly detoxification， Fu-organ dredging， aromatization and promoting blood circulation， followed by the medicines with the effect of treating the lungs， such as clearing the lungs and resolving phlegm， clearing heat and purging the lungs， relieving cough and asthma， and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba， and the core acrid-cold herb was mainly Forsythiae Fructus， resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history， the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi"， focusing on the treatment of the causes and characteristics of epidemics through detoxification， Fu-organ dredging， and aromatization， emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ， eliminate toxins and pathogens， and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness， diagnose and treatment according to syndrome differentiation was performed.

Diabetic nephropathy （DN） is a renal disorder induced by prolonged hyperglycemia， with major pathological features including persistent albuminuria， progressive decline in glomerular filtration rate， and elevated arterial blood pressure. As one of the most common and severe microvascular complications of diabetes， the pathogenesis of DN is complex and multifactorial. Without timely and effective treatment， DN may eventually progress to end-stage renal disease （ESRD）. Currently available therapeutic options are often associated with significant adverse effects and high costs， and a large number of patients still progress to ESRD due to delayed treatment. Therefore， there is an urgent need for safer and more effective treatment strategies to improve the living standards and enhance the survival and quality of life of patients with DN. Modern studies have demonstrated that the phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway plays a critical role in oxidative stress， inflammatory responses， autophagy， and glycolysis， and is closely associated with the pathophysiological progression of DN. In recent years， traditional Chinese medicine （TCM） has achieved remarkable progress in the prevention and treatment of DN， supported by rich clinical experience and confirmed therapeutic efficacy. With its characteristics of multi-target， multi-component， and multi-pathway actions， along with minimal side effects， TCM can delay the progression of DN and alleviate patient symptoms. Among these mechanisms， the regulation of the PI3K/Akt signaling pathway has gradually become a research hotspot. This paper systematically reviews the role and mechanisms of the PI3K/Akt signaling pathway in the onset and progression of DN based on extensive literature research， summarizes the latest research advances on the precise modulation of the PI3K/Akt pathway by Chinese medicine monomers， active constituents， Chinese patent medicines， and herbal compound formulas in the treatment of DN， aiming to provide a strong theoretical reference for the development of clinically effective agents for DN prevention and treatment.

ObjectiveExploring the formula rules of commonly used traditional Chinese medicines（TCMs） for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining， providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched， and the contents such as source， dynasty， author， diagnosis， formula name， therapeutic method and efficacy， and composition of medicines from each article that met the inclusion criteria were extracted. Then， an Excel standardized database was established， and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis， Pearson correlation analysis， and association rule analysis. ResultsA total of 1 595 formulas were included， involving 558 TCMs. The efficacy of these medicines could be classified into two categories， namely， expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis， high-frequency medicines were mainly detoxification， Fu-organ dredging， aromatization and promoting blood circulation， followed by the medicines with the effect of treating the lungs， such as clearing the lungs and resolving phlegm， clearing heat and purging the lungs， relieving cough and asthma， and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba， and the core acrid-cold herb was mainly Forsythiae Fructus， resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history， the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi"， focusing on the treatment of the causes and characteristics of epidemics through detoxification， Fu-organ dredging， and aromatization， emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ， eliminate toxins and pathogens， and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness， diagnose and treatment according to syndrome differentiation was performed.

Diabetic retinopathy（DR）， as one of the most common and serious microvascular complications of diabetes mellitus， seriously threatens human health， and belongs to "Xiaoke eye diseases" in traditional Chinese medicine（TCM）， which has been richly experienced by medical practitioners through the ages， but is mostly recorded in a piecemeal manner and has not been systematically researched. This disease is featured by long course and repeated attack， and is refractory， which belongs to the research category of "persistent illness entering collaterals". Systematic establishment of TCM collateral disease theory for guiding prevention and treatment of DR has important clinical value. On the basis of close correlation between tertiary collaterals at the terminal of collaterals and capillaries and microcirculation， the concept of "tertiary collaterals-microvascular" is proposed. It is pointed out that DR falls within the scope of "tertiary collaterals-microvascular" diseases， and presents four types of micro-pathological characteristics， including stasis， insufficiency， growth and bleeding of tertiary collaterals. It is concluded that "deficiency of both Qi and Yin" is the basic pathogenesis of DR， and "blood stasis and collateral obstruction" is the important pathogenesis and key factor. Thus， the treatment method of "dispersing blood stasis， dredging collateral， tonifying Qi and Yin， stopping hemorrhage and improving eyesight" is determined， and the formula of Tongluo Mingmu capsules is developed. The article tightly focuses on the pathological changes such as stasis， growth， insufficiency and bleeding of collaterals， addresses both symptoms and root causes， and plays a synergistic role of both dispersing stasis and stopping bleeding. In this way， it can realize the purpose of tonifying Qi and Yin to replenish the essence， dispersing stasis and dredging collaterals to meet the requirement， as well as stopping hemorrhage and improving eyesight to deal with changes. Fundamental researches demonstrate that Tongluo Mingmu capsules has synergy effects of protecting both retinal capillaries and retinal cells. Phase-Ⅲ clinical trial of new drug has proven definite clinical efficacy and good safety， which provides a new drug choice for enhancing clinical effect of DR， and further supports the scientific value of Luobing theory in preventing and treating DR and other clinically significant diseases.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.

Background: and Purpose Symptomatic intracranial hemorrhage (sICH) following endovascular thrombectomy (EVT) is a severe complication associated with adverse functional outcomes and increased mortality rates. Currently, a reliable predictive model for sICH risk after EVT is lacking. Methods: This study used data from patients aged ≥20 years who underwent EVT for anterior circulation stroke from the nationwide Taiwan Registry of Endovascular Thrombectomy for Acute Ischemic Stroke (TREAT-AIS). A predictive model including factors associated with an increased risk of sICH after EVT was developed to differentiate between patients with and without sICH. This model was compared existing predictive models using nationwide registry data to evaluate its relative performance. Results: Of the 2,507 identified patients, 158 developed sICH after EVT. Factors such as diastolic blood pressure, Alberta Stroke Program Early CT Score, platelet count, glucose level, collateral score, and successful reperfusion were associated with the risk of sICH after EVT. The TREAT-AIS score demonstrated acceptable predictive accuracy (area under the curve [AUC]=0.694), with higher scores being associated with an increased risk of sICH (odds ratio=2.01 per score increase, 95% confidence interval=1.64–2.45, P<0.001). The discriminatory capacity of the score was similar in patients with symptom onset beyond 6 hours (AUC=0.705). Compared to existing models, the TREAT-AIS score consistently exhibited superior predictive accuracy, although this difference was marginal. Conclusions The TREAT-AIS score outperformed existing models, and demonstrated an acceptable discriminatory capacity for distinguishing patients according to sICH risk levels. However, the differences between models were only marginal. Further research incorporating periprocedural and postprocedural factors is required to improve the predictive accuracy.