Background: Salvia miltiorrhiza Bunge, commonly known as “Danshen” in China due to the distinctive red color of its roots, is one of the most widely used traditional Chinese medicines. It is cultivated in various regions across China, and environmental differences among these regions can affect the secondary metabolites of plants, thereby influencing the quality of S. miltiorrhiza. In recent years, increasing demand for S. miltiorrhiza has exacerbated the problem of origin fraud. Therefore, ensuring the authenticity of its geographical origin is crucial for the sustainable development of the industry. Objective: The red coloration of S. miltiorrhiza is closely associated with the content of its primary active compounds, particularly tanshinones. Therefore, both its internal chemical composition and external color characteristics serve as key indicators for quality assessment. This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S. miltiorrhiza. Methods: Spectral data reflecting the internal chemical properties of S. miltiorrhiza were integrated with color information representing its external features through 3 levels of data fusion. These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification. Results: The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72% by integrating image color and short-wave infrared spectral data. Conclusion: This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S. miltiorrhiza.

Tumors exhibit abnormal glucose metabolism, consuming excessive glucose and excreting lactate, which constructs a tumor microenvironment that facilitates cancer progression and disrupts immunotherapeutic efficacy. Currently, tumor glucose metabolic dysregulation to reshape the immunosuppressive microenvironment and enhance immunotherapy efficacy is emerging as an innovative therapeutic strategy. However, glucose metabolism modulators lack specificity and still face significant challenges in overcoming tumor delivery barriers, microenvironmental complexity, and metabolic heterogeneity, resulting in poor clinical benefit. Nanomedicines, with their ability to selectively target tumors or immune cells, respond to the tumor microenvironment, co-deliver multiple drugs, and facilitate combinatorial therapies, hold significant promise for enhancing immunotherapy through tumor glucose metabolic reprogramming. This review explores the complex interactions between tumor glucose metabolism-specifically metabolite transport, glycolysis processes, and lactate-and the immune microenvironment. We summarize how nanomedicine-mediated reprogramming of tumor glucose metabolism can enhance immunotherapy efficacy and outline the prospects and challenges in this field.

Metabolic bariatric surgery is an effective intervention for obesity and related metabolic disorders.Beyond substantial weight reduction,it modulates orexigenic and anorexigenic neuropeptides and their signaling pathways to improve energy homeostasis and metabolic function.This review summarizes the regulatory effects of various bariatric procedures(such as Roux-en-Y gastric bypass and sleeve gastrectomy)on orexigenic neuropeptides and anorexigenic factors,highlighting the involvement of key signaling pathways including mTOR and AMPK.These mechanisms contribute to weight control,enhanced insulin sensitivity,and remission of metabolic diseases.By integrating central and peripheral regulatory processes,metabolic surgery provides new biological insights into individualized obesity management.Future research should focus on interindividual variability and long-term neuro-metabolic adaptations to optimize surgical outcomes and improve metabolic health.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.

Extrasynaptic γ-aminobutyric acid type A(GABAA)receptors are a class of inhibitory neurotransmitter receptors that are distributed in non-synaptic structures such as cell bodies and dendrites.Extrasynaptic GABAA receptors are heteropentamers usually containing δ-subunit.Changes of δ-subunit expressions can be observed in model animals of postpartum depression and premenstrual syndrome,and δ-/-or δ+/-mice exhibit behavioral phenotypes of postpartum depression,suggesting that extrasynaptic GABAA receptors are involved in the pathogenesis of related diseases.The present review is concerned with the relationship between extrasynaptic GABAA receptors and postpartum depression as well as premenstrual syndrome in general,and the advances in research on drugs targeting extrasynaptic GABAA receptors for the treatment of these two conditions in particular.The article highlights the value of extrasynaptic GABAA receptors as a therapeutic target for female mood disor-ders,and may provide a reference for the development and application of related drugs.

OBJECTIVE To investigate α1-adrenergic receptors(α1-AR)distribution in mouse tissues and its function on dexmetomidine(DMED)induced toxic effects.METHODS ① Real-time fluorescence quantita-tive PCR was used to detect the relative expression of α1A-AR,α1B-AR,α1D-AR,α2A-AR,α2B-AR and α2C-AR mRNAs in the heart,apical potion of heart,lungs,apical potion of lung,liver,kidneys,abdominal aorta,prefrontal cortex,hippocampus,striatum,brainstem,thalamus,olfactory bulb,and the rest of the brain tissues of the mouse.The relative expression of mRNA were analyzed.② C57BL/6J mice were pretreated with α2 adrenergic receptor antagonist atipamezole ATI(0.005,0.010,0.020,0.025,0.040,0.050 mg·kg-1,im),orα1-adrenoceptor antagonist prazosin(1 mg·kg-1,im)for 15 min,and then DMED(0.20 mg·kg-1,iv)was given to observe the rate of the loss of righting reflex and the immobilization time in mice.③ C57BL/6J mice were treated with DMED(16.38,20.48,25.60,32.00,40.00,and 50.00 mg·kg-1,iv)to observe the lethality of the mice in 24 h.The dose-effect relationship curves of the lethality rate and the half lethal-dose(LD50)were detected.ATI(1,2,4,and 8 mg·kg-1,im)or prazosin(1 mg·kg-1,im)were pretreated 15 min followed by the administration of DMED(25.60 mg·kg-1,iv).The lethality of the mice were recorded for 24 h.HE staining to observe the lung tissue damage in the mice.RESULTS ① The mRNA expression levels of three α1-AR subtype were higher than those of α2-AR subtype.α2A-AR and α2C-AR were highly expressed in the central nervous system.α2B-AR was highly expressed in the brainstem and peripheral tissues.The mRNA expres-sion levels of α1-AR subtypes were higher than those of α2-AR subtypes in heart,apical potion of heart or lung(P＜0.05).② ATI(0.005 to 0.05 mg·kg-1,im)dose dependently antagonized the loss of righting reflex and decreased the immobilization time induced by DMED(0.20 mg·kg-1,iv).In contrast,prazosin(1 mg·kg-1,im)had no effect on the loss of righting reflex induced by DMED(0.20 mg·kg-1,iv).③ The LD50 of DMED in mice was 26.734 mg·kg-1(iv)with a 95％Cl of 23.606-30.000 mg·kg-1.DMED(25.6 mg·kg-1)was selected for subsequent toxicity.ATI(1,2,4,and 8 mg·kg-1,im)did not antagonize the lethality induced by DMED(25.6 mg·kg-1,iv).The high dose of ATI resulted in elevated death rate and accelerated mortality induced by DMED(25.6 mg·kg-1,iv)in the mice.However,prazosin(1 mg·kg-1,im)reduced the lethality of DMED(25.6 mg·kg-1,iv)(P＜0.01).After administration of DMED(25.6 mg·kg-1),the mice lungs showed significant congestion.HE staining of lung tissues revealed obvious vascular hemorrhage,alveolar rupture,and erythrocyte spillage.Prazosin(1 mg·kg-1,im)effectively attenuated the tissue damage in the lungs,but ATI(1 mg·kg-1,im)aggravated the pulmonary hemorrhage.CONCLU-SIONS In cardiopulmonary tissues,the high expression levels of α1 adrenoceptor overactivation,might related with the lethality induced by DMED.

BACKGROUND:Formononetin is an isoflavonoid compound widely found in red clover,astragalus,and chickweed,which has the ability to inhibit oxidative stress,inflammatory factor release,and apoptosis. OBJECTIVE:To investigate the effect of formononetin on interleukin-1β-induced chondrocyte injury and its mechanism. METHODS:(1) Cartilage tissues from patients with osteoarthritis and patients with simple meniscus injury were collected,and real-time quantitative PCR was used to detect miR-135b-5p expression. (2) Human chondrocytes were cultured in vitro,and then divided them into nine groups:cells in normal control group were cultured for 48 hours with no treatment;cells in interleukin-1β group were treated with interleukin-1β for 48 hours;cells in interleukin-1β+low-dose formononetin group were treated with 25 μmol/L formononetin for 24 hours followed by treatment with interleukin-1β for 48 hours;cells in interleukin-1β+middle-dose formononetin group were treated with 50 μmol/L formononetin for 24 hours followed by treatment with interleukin-1β for 48 hours;cells in interleukin-1β+high-dose formononetin group were treated with 100 μmol/L formononetin for 24 hours followed by treatment with interleukin-1β for 48 hours;cells in interleukin-1β+miR NC group were treated with miR NC for 6 hours followed by treatment with interleukin-1β for 48 hours;cells in interleukin-1β+miR-135b-5p group were treated with miR-135b-5p mimics for 6 hours followed by treatment with interleukin-1β for 48 hours;cells in interleukin-1β+high dose formononetin+anti-miR-NC group were treated with anti-miR-NC for 6 hours,then treated with 100 μmol/L formononetin for 24 hours,and finally treate with interleukin-1β for 48 hours;cells in interleukin-1β+high-dose formononetin+anti-miR-135b-5p group were treated with anti-miR-135b-5p for 6 hours,the treated with 100 μmol/L formononetin for 24 hours,and finally treated with interleukin-1β for 48 hours. Relevant tests are performed after treatment. RESULTS AND CONCLUSION:The expression level of miR-135b-5p in cartilage tissue of patients with osteoarthritis was significantly lower than that of patients with simple meniscus injury (P<0.05). Compared with the normal control group,the expression level of miR-135b-5p,proliferative ability,activity of superoxid dismutase,and expression levels of collagenase Ⅱ protein and Bcl-2 protein in chondrocytes were lower in the interleukin-1β group (P<0.05),while apoptotic rate,lactate dehydrogenase activity,malondialdehyde level,levels of proinflammatory factors,and expression levels of matrix metalloproteinase-13 protein and Bax protein were higher in the interleukin-1β group (P<0.05). Formononetin inhibited chondrocyte damage caused by interleukin-1β in a concentration-dependent manner. Transfection of miR-135b-5p mimics elevated miR-135b-5p expression in the interleukin-1β group and inhibited chondrocyte damage induced by interleukin-1β;transfection of anti-miR-135b-5p decreased miR-135b-5p expression in the interleukin-1β+high-dose formononetin group and inhibited the effect of formononetin on chondrocytes. To conclude,the protective effect of formononetin on chondrocyte injury induced by interleukin-1β may be related to the regulation of miR-135b-5p expression.

Objective:To explore the value of the "sandwich" feedback method based on the PDCA (plan, do, check, action) cycle in improving the ability of faculty in the department of radiology in teaching clinical radiological image interpretation during standardized residency training.Methods:The study involved six faculty members engaged in standardized residency training in the department of radiology from January 2023 to January 2024. The "sandwich" feedback method based on PDCA cycle was adopted to improve their ability in teaching clinical radiological image interpretation quarterly. The teaching ability was evaluated by residents and peer faculty members. A survey on teaching satisfaction was carried out.Results:Comparison of the teaching ability between PDCA cycles demonstrated a progressive increase in scores as rated by both residents and peer faculty members (scores from quarter 1 to quarter 4 were (77.00±2.53)/(80.33±3.26), (79.16±2.04)/(82.83±2.86), (81.83±1.17)/(85.16±1.17), (83.00±1.41)/(86.00±1.41). ANOVA of repeated measures indicated that quarter had a significant impact on both peer faculty member and resident evaluations ( P<0.001), and the results remained significant after Greenhouse-Geisser correction (G-G) and Huynh-Feldt correction (H-F). Moreover, a steady increase was observed in the scores of common deficiencies. The questionnaire survey showed that 88.88% (24/27) of the faculty members were "satisfied" or "very satisfied" with the feedback model. There were no significant differences in the scores of teaching feedback is necessary and aids in standardized teaching activities, creating an atmosphere before feedback is essential and effective "sandwich" feedback is helpful in improving the ability of faculty in teaching radiological image interpretation, and "sandwich" feedback can promote teaching reflection among faculty" between resident and peer faculty member evaluations ( P>0.05). Conclusions:The "sandwich" feedback method based on the PDCA cycle can effectively improve the ability of faculty in teaching clinical radiological image interpretation in the department of radiology and provide new ideas for achieving teaching homogeneity.

Objective:To explore the value of the "sandwich" feedback method based on the PDCA (plan, do, check, action) cycle in improving the ability of faculty in the department of radiology in teaching clinical radiological image interpretation during standardized residency training.Methods:The study involved six faculty members engaged in standardized residency training in the department of radiology from January 2023 to January 2024. The "sandwich" feedback method based on PDCA cycle was adopted to improve their ability in teaching clinical radiological image interpretation quarterly. The teaching ability was evaluated by residents and peer faculty members. A survey on teaching satisfaction was carried out.Results:Comparison of the teaching ability between PDCA cycles demonstrated a progressive increase in scores as rated by both residents and peer faculty members (scores from quarter 1 to quarter 4 were (77.00±2.53)/(80.33±3.26), (79.16±2.04)/(82.83±2.86), (81.83±1.17)/(85.16±1.17), (83.00±1.41)/(86.00±1.41). ANOVA of repeated measures indicated that quarter had a significant impact on both peer faculty member and resident evaluations ( P<0.001), and the results remained significant after Greenhouse-Geisser correction (G-G) and Huynh-Feldt correction (H-F). Moreover, a steady increase was observed in the scores of common deficiencies. The questionnaire survey showed that 88.88% (24/27) of the faculty members were "satisfied" or "very satisfied" with the feedback model. There were no significant differences in the scores of teaching feedback is necessary and aids in standardized teaching activities, creating an atmosphere before feedback is essential and effective "sandwich" feedback is helpful in improving the ability of faculty in teaching radiological image interpretation, and "sandwich" feedback can promote teaching reflection among faculty" between resident and peer faculty member evaluations ( P>0.05). Conclusions:The "sandwich" feedback method based on the PDCA cycle can effectively improve the ability of faculty in teaching clinical radiological image interpretation in the department of radiology and provide new ideas for achieving teaching homogeneity.

Background:Salvia miltiorrhiza Bunge,commonly known as"Danshen"in China due to the distinctive red color of its roots,is one of the most widely used traditional Chinese medicines.It is cultivated in various regions across China,and environmental differences among these regions can affect the secondary metabolites of plants,thereby influencing the quality of S.miltiorrhiza.In recent years,increasing demand for S.miltiorrhiza has exacerbated the problem of origin fraud.Therefore,ensuring the authenticity of its geo-graphical origin is crucial for the sustainable development of the industry.Objective:The red coloration of S.miltiorrhiza is closely associated with the content of its primary active compounds,particularly tanshinones.Therefore,both its internal chemical composition and external color characteristics serve as key indicators for quality assessment.This study utilized hyperspectral imaging technology to evaluate its potential in classifying the geographical origin of S.miltiorrhiza.Methods:Spectral data reflecting the internal chemical properties of S.miltiorrhiza were integrated with color information represent-ing its external features through 3 levels of data fusion.These fused datasets were then combined with deep learning algorithms to achieve accurate origin classification.Results:The results demonstrated that the Transformer model combined with soft-voting decision-level fusion achieved the highest classification accuracy of 98.72％by integrating image color and short-wave infrared spectral data.Conclusion:This study demonstrates that integrating hyperspectral imaging spectral data with color information provides a reliable and innovative approach for verifying the authenticity and traceability of S.miltiorrhiza.