Objective To investigate muscle mass reduction and the effect of exercise training intervention in non-obese patients with type 2 diabetes (T2DM). Methods A total of 324 non-obese patients with T2DM admitted to the First Affiliated Hospital of Xinjiang Medical University were enrolled from February 2023 to February 2025. Dual-energy X-ray absorptiometry was adopted to detect and analyze the data of appendicular skeletal muscle index (ASMI). Non-obese T2DM patients were classified into an observation group (n=162, receive sports training intervention) and a control group (n=162, receiving routine exercise intervention) by adopting random number grouping criteria. Both groups were intervened for 3 months. The muscle mass indicators [ASMI, body mass index (BMI), and body fat rate], exercise ability [6-minute walking distance (6MWD), grip strength, and one-leg standing time], metabolic indicators [fasting plasma glucose (FPG), glycosylated hemoglobin (HbA1c), and homeostasis model assessment insulin resistance index (HOMA-IR)], and quality of life [Diabetes Quality of Life Scale (DQOL)] were compared between the two groups to evaluate the effectiveness of sports training intervention. Results A total of 324 non-obese T2DM patients were enrolled, including 123 cases with reduced muscle mass (37.96%). There were no significant differences in the baseline data and the proportion of patients with muscle mass reduction between the two groups before intervention (P>0.05). After intervention, the ASMI, 6MWD, grip strength, and one-leg standing time in the observation group were higher or longer than those of the control group (P<0.05), while the body fat rate, FPG, HbA1c, HOMA-IR and DQOL scores were lower than those of the control group (P<0.05). Conclusion The incidence of muscle mass reduction is relatively high among non-obese T2DM patients, and exercise training intervention has significant effects on improving muscle mass, metabolic status, exercise capacity and quality of life in non-obese T2DM patients.

Puji Xiaoduyin， a specialized formula for the swollen-head epidemic， was recorded in the Catalogue of Ancient Classical Formula （the Second Batch）-Han Medicine， published in September 2023. It had been inherited and developed by medical experts of successive generations and passed down to this day. This paper sorted out the historical evolution of this formula using bibliometric methods. It also comprehensively analyzed key information on the formula name， historical origin， drug dosage， herb origin， processing methods， decocting methods， function， and clinical applications. Additionally， this paper analyzed the application of this formula in both modern and ancient times. Results showed that the formula was first recorded as "Puji Xiaodu Yinzi" in LI Dongyuan's Proven Formulas written by LI Gao from the Jin dynasty. The medicinal composition and dosage were： Scutellariae Radix and Coptidis Rhizoma （20.65 g each）， Ginseng Radix et Rhizoma 12.39 g， Scrophulariae Radix， Citri Reticulatae Pericarpium， and Glycyrrhizae Radix et Rhizoma （8.26 g each）， Forsythiae Fructus， Arctii Fructus， Isatidis Radix， and Lasiosphaera Calvatia （4.13 g each）， Bombyx Batryticatus and Cimicifugae Rhizoma （2.891 g each）， Bupleuri Radix and Platycodonis Radix （8.26 g each）. These medicines were grounded to fine powder. One dose， including 20.65 g of the powder， was mixed with 600 mL of water and decocted to 300 mL. After abandoning slag， the medicine should be taken warm frequently. In the formula， Bombyx Batryticatus is stir-fired. With the effect of dispersing wind and clearing heat， removing stagnation and dissipating mass， the formula is specialized in swollen-head epidemic， pestilence， red and swelling head， face， and neck， dry mouth and tongue， as well as other diseases resulting from toxic heat stagnated in the upper jiao. The formula is widely used in treating diseases involving the respiratory， dermal， ophthalmologic， otolaryngologic， and nervous systems. The formula is most frequently used for respiratory diseases， with a wide range of symptoms including parotitis/mumps （66 times）， followed by tonsillitis （28 times）. In conclusion， the broadly applied formula has accurate efficacy and great development value.

Puji Xiaoduyin， a specialized formula for the swollen-head epidemic， was recorded in the Catalogue of Ancient Classical Formula （the Second Batch）-Han Medicine， published in September 2023. It had been inherited and developed by medical experts of successive generations and passed down to this day. This paper sorted out the historical evolution of this formula using bibliometric methods. It also comprehensively analyzed key information on the formula name， historical origin， drug dosage， herb origin， processing methods， decocting methods， function， and clinical applications. Additionally， this paper analyzed the application of this formula in both modern and ancient times. Results showed that the formula was first recorded as "Puji Xiaodu Yinzi" in LI Dongyuan's Proven Formulas written by LI Gao from the Jin dynasty. The medicinal composition and dosage were： Scutellariae Radix and Coptidis Rhizoma （20.65 g each）， Ginseng Radix et Rhizoma 12.39 g， Scrophulariae Radix， Citri Reticulatae Pericarpium， and Glycyrrhizae Radix et Rhizoma （8.26 g each）， Forsythiae Fructus， Arctii Fructus， Isatidis Radix， and Lasiosphaera Calvatia （4.13 g each）， Bombyx Batryticatus and Cimicifugae Rhizoma （2.891 g each）， Bupleuri Radix and Platycodonis Radix （8.26 g each）. These medicines were grounded to fine powder. One dose， including 20.65 g of the powder， was mixed with 600 mL of water and decocted to 300 mL. After abandoning slag， the medicine should be taken warm frequently. In the formula， Bombyx Batryticatus is stir-fired. With the effect of dispersing wind and clearing heat， removing stagnation and dissipating mass， the formula is specialized in swollen-head epidemic， pestilence， red and swelling head， face， and neck， dry mouth and tongue， as well as other diseases resulting from toxic heat stagnated in the upper jiao. The formula is widely used in treating diseases involving the respiratory， dermal， ophthalmologic， otolaryngologic， and nervous systems. The formula is most frequently used for respiratory diseases， with a wide range of symptoms including parotitis/mumps （66 times）， followed by tonsillitis （28 times）. In conclusion， the broadly applied formula has accurate efficacy and great development value.

Hygroscopicity research has long been a key focus and hot topic in Chinese materia medica（CMM）. Elucidating hygroscopic mechanisms plays a vital role in formulation design， process optimization， and storage condition selection. Hygroscopic models serve as essential tools for characterizing CMM hygroscopic mechanisms， with various types available. The double exponential model is a kinetic mathematical model constructed based on the law of conservation of energy and Fick's first law of diffusion， tailored to the physical properties of CMM extracts. In recent years， this model has been extensively applied to simulate the dynamic moisture absorption behavior of CMM extracts and solid dosage forms under varying humidity conditions. It has revealed the correlation between moisture absorption kinetic parameters and material properties， offering a new perspective for characterizing the moisture uptake behavior of CMM. This paper systematically reviews the application progress of this model in the field of CMM， analyzes its advantages， disadvantages， and challenges in this domain， and explores its potential application trends in other fields. It aims to provide references for elucidating the moisture absorption mechanisms of CMM and researching moisture-proofing technologies， while also offering insights for its broader application in food and polymer materials.

Organoid-on-a-chip technology represents a promising interdisciplinary advancement that merges two cutting-edge biomedical platforms: stem cell-derived organoids and microfluidics-based organ-on-a-chip systems. Organoids are self-organizing three-dimensional (3D) cell cultures that mimic the key structural and functional features of in vivo organs. However, traditional organoid culture systems are often static, lacking dynamic environmental cues and suffering from limitations such as batch-to-batch variability, low stability, and low throughput. Organ-on-a-chip platforms, by contrast, utilize microfluidic technologies to simulate the dynamic physiological microenvironment of human tissues and organs, enabling more controlled cell growth and differentiation. By integrating the advantages of organoids and organ-on-a-chip technologies, organoid-on-a-chip systems transcend the limitations of conventional 3D culture models, offering a more physiologically relevant and controllable in vitro platform. In organoid-on-a-chip systems, stem cells or pre-formed organoids are cultured in micro-engineered environments that mimic in vivo conditions, enabling precise control over fluid flow, mechanical forces, and biochemical cues. Specifically, these platforms employ advanced strategies including bio-inspired 3D scaffolds for structural support, precise spatial cell patterning via 3D bioprinting, and integrated biosensors for real-time monitoring of metabolic activities. These synergistic elements recreate complex extracellular matrix signals and ensure high structural fidelity. Based on structural complexity, organoid-on-a-chip systems are classified into single-organoid and multi-organoid types, forming a trajectory from unit biomimicry to systemic simulation. Single-organoid chips focus on highly biomimetic units by integrating vascular, immune, or neural functions. Multi-organoid chips simulate inter-organ crosstalk and systemic homeostasis, advancing complex disease modeling and PK/PD evaluation. This emerging technology has demonstrated broad application potential in multiple fields of biomedicine. Organoid-on-a-chip systems can recapitulate organ developmentin vitro, facilitating research in developmental biology. They mimic organ-specific physiological activities and mechanisms, showing promising applications in regenerative medicine for tissue repair or replacement. In disease modeling, they support the reconstruction of models for neurodegenerative, inflammatory, infectious, metabolic diseases, and cancers. These platforms also enable in vitro drug testing and pharmacokinetic studies (ADME). Patient-derived chips preserve genetic and pathological features, offering potential for precision medicine. Additionally, they reduce species differences in toxicology, providing human-relevant data for environmental, food, cosmetic, and drug safety assessments. Despite progress, organoid-on-a-chip systems face challenges in dynamic simulation, extracellular matrix (ECM) variability, and limited real-time 3D imaging, requiring improved materials and the integration of developmental signals. Current bottlenecks also include the high technical threshold for automation and the lack of standardized validation frameworks for regulatory adoption. Meanwhile, the concept of a “human-on-a-chip” has been proposed to mimic whole-body physiology by integrating multiple organoid modules. This approach enables systemic modeling of drug responses and toxicity, with the potential to reduce animal testing and revolutionize drug development. Future advancements in bio-responsive hydrogels and flexible biosensors will further empower these platforms to bridge the gap between bench-side research and personalized clinical interventions. In conclusion, organoid-on-a-chip technology offers a transformative in vitro model that closely recapitulates the complexity of human tissues and organ systems. It provides an unprecedented platform for advancing biomedical research, clinical translation, and pharmaceutical innovation. Continued development in biomaterials, microengineering, and analytical technologies will be essential to unlocking the full potential of this powerful tool.

Organoid-on-a-chip technology represents a promising interdisciplinary advancement that merges two cutting-edge biomedical platforms: stem cell-derived organoids and microfluidics-based organ-on-a-chip systems. Organoids are self-organizing three-dimensional (3D) cell cultures that mimic the key structural and functional features of in vivo organs. However, traditional organoid culture systems are often static, lacking dynamic environmental cues and suffering from limitations such as batch-to-batch variability, low stability, and low throughput. Organ-on-a-chip platforms, by contrast, utilize microfluidic technologies to simulate the dynamic physiological microenvironment of human tissues and organs, enabling more controlled cell growth and differentiation. By integrating the advantages of organoids and organ-on-a-chip technologies, organoid-on-a-chip systems transcend the limitations of conventional 3D culture models, offering a more physiologically relevant and controllable in vitro platform. In organoid-on-a-chip systems, stem cells or pre-formed organoids are cultured in micro-engineered environments that mimic in vivo conditions, enabling precise control over fluid flow, mechanical forces, and biochemical cues. Specifically, these platforms employ advanced strategies including bio-inspired 3D scaffolds for structural support, precise spatial cell patterning via 3D bioprinting, and integrated biosensors for real-time monitoring of metabolic activities. These synergistic elements recreate complex extracellular matrix signals and ensure high structural fidelity. Based on structural complexity, organoid-on-a-chip systems are classified into single-organoid and multi-organoid types, forming a trajectory from unit biomimicry to systemic simulation. Single-organoid chips focus on highly biomimetic units by integrating vascular, immune, or neural functions. Multi-organoid chips simulate inter-organ crosstalk and systemic homeostasis, advancing complex disease modeling and PK/PD evaluation. This emerging technology has demonstrated broad application potential in multiple fields of biomedicine. Organoid-on-a-chip systems can recapitulate organ developmentin vitro, facilitating research in developmental biology. They mimic organ-specific physiological activities and mechanisms, showing promising applications in regenerative medicine for tissue repair or replacement. In disease modeling, they support the reconstruction of models for neurodegenerative, inflammatory, infectious, metabolic diseases, and cancers. These platforms also enable in vitro drug testing and pharmacokinetic studies (ADME). Patient-derived chips preserve genetic and pathological features, offering potential for precision medicine. Additionally, they reduce species differences in toxicology, providing human-relevant data for environmental, food, cosmetic, and drug safety assessments. Despite progress, organoid-on-a-chip systems face challenges in dynamic simulation, extracellular matrix (ECM) variability, and limited real-time 3D imaging, requiring improved materials and the integration of developmental signals. Current bottlenecks also include the high technical threshold for automation and the lack of standardized validation frameworks for regulatory adoption. Meanwhile, the concept of a “human-on-a-chip” has been proposed to mimic whole-body physiology by integrating multiple organoid modules. This approach enables systemic modeling of drug responses and toxicity, with the potential to reduce animal testing and revolutionize drug development. Future advancements in bio-responsive hydrogels and flexible biosensors will further empower these platforms to bridge the gap between bench-side research and personalized clinical interventions. In conclusion, organoid-on-a-chip technology offers a transformative in vitro model that closely recapitulates the complexity of human tissues and organ systems. It provides an unprecedented platform for advancing biomedical research, clinical translation, and pharmaceutical innovation. Continued development in biomaterials, microengineering, and analytical technologies will be essential to unlocking the full potential of this powerful tool.

ObjectiveTo investigate the potential therapeutic effects of Dengzhan Shengmai capsules （DZSM） on myocardial fibrosis after myocardial infarction and decipher the underlying molecular mechanisms by virtue of network robustness algorithm. MethodsA rat model of myocardial infarction was established by ligating the left anterior descending coronary artery. Successfully modeled Sprague-Dawley rats were randomly allocated into a model group， an enalapril group（3.15 mg·kg^-1）， and high- and low-dose DZSM groups（226.8，113.4 mg·kg^-1）. In addition， a sham group was set up. After four consecutive weeks of intervention， the cardiac function was assessed via echocardiography， and myocardial collagen deposition was observed through Sirius red staining. The key regulatory pathways of DZSM were analyzed by the network robustness algorithm. Enzyme-linked immunosorbent assay （ELISA） and immunofluorescence assay were employed to validate the mechanisms. ResultsCompared with the sham group， the model group exhibited decreased left ventricular ejection fraction （LVEF%） and fractional shortening （FS%） （P<0.01） and increased myocardial collagen volume fraction （CVF%） （P<0.01）. Compared with the model group， high-dose DZSM and enalapril improved LVEF% and FS% （P<0.01）. Both high- and low-dose DZSM reduced the CVF% （P<0.05， P<0.05，）. Network analysis indicated that DZSM exerted its effects by regulating neutrophil infiltration and related inflammatory pathways. Experimental validation showed that DZSM significantly reduced the protein levels of nuclear factor （NF）-κB， Janus kinase 2 （JAK2）， and signal transduction activator and transducer 3 （STAT3） in the cardiac tissue， as well as the levels of chemokine （C-X-C motif） ligand 1 （CXCL1）， interleukin （IL）-1β， neutrophil elastase-DNA complex （NE-DNA）， and myeloperoxidase-DNA complex （MPO-DNA） in the plasma. ConclusionDZSM may ameliorate myocardial fibrosis by inhibiting neutrophil infiltration and extracellular trap formation and regulating the NF-κB/JAK2/STAT3 signaling pathway.

AIM:To explore the clinical characteristics, time course, and influencing factors associated with the spontaneous regression of retinopathy of prematurity(ROP).

METHODS: A retrospective analysis was conducted on clinical data from infants diagnosed with ROP. The clinical outcomes were systematically evaluated, including the rates and process of spontaneous regression across different ROP stages and zones. Potential factors for spontaneous regression were also examined.

RESULTS: A total of 138 infants(138 eyes, for patients with bilateral involvement, the more severely affected eye was chosen)with ROP were included, consisting of 77 males and 61 females. The mean gestational age was 30.0±2.3 wk. Spontaneous regression was observed in 113 cases. The regression rates for stages 1, 2, and 3 were 100%, 81%, and 23%, respectively. Regression was observed in 100% of zone Ⅲ cases and 74% of zone II cases, but did not occur in zone I or in cases with plus disease. Higher gestational age and birth weight were associated with increased rates of spontaneous regression. The median postmenstrual age(PMA)at the onset of ROP regression was 39.8 wk and at the completion of regression was 48.4 wk, with a median regression duration of 8 wk. Zone II and higher-stage ROP(stages≥2)were associated with a later onset and completion of regression, as well as a longer regression duration. Further analysis revealed that mechanical ventilation duration>14 d and retinal hemorrhage were identified as risk factors impeding the spontaneous regression of ROP.

CONCLUSION: The spontaneous regression rate of ROP varies with stage, zone, gestational age, and birth weight. The regression rate is high for stage 1 and zone Ⅲ ROP, whereas it is lower for stage 2, zone II, and more severe forms of ROP, which require close monitoring or active intervention. The time course of spontaneous regression of ROP also differs by disease stage and zone.Mechanical ventilation lasting>14 d and retinal hemorrhage are risk factors impeding the spontaneous regression of ROP.

ObjectiveTo observe the clinical efficacy and safety of Yishen Jiangtang decoction combined with conventional Western medicine treatment in managing stage G3A3 diabetic kidney disease （DKD） in the patients with the pattern of Qi-Yin deficiency combined with dampness-heat and blood stasis， and to explore its mechanism of inhibiting the endoplasmic reticulum stress （ERS）-apoptosis axis and delaying renal fibrosis （RF）. MethodsA single-center， randomized， parallel-controlled clinical trial was conducted. A total of 78 patients diagnosed with stage G3A3 DKD and traditional Chinese medicine （TCM） pattern of Qi-Yin deficiency combined with dampness-heat and blood stasis and treated in the Department of Nephrology and the Department of Endocrinology of the People's Hospital Affiliated to Fujian University of Traditional Chinese Medicine from March 2025 to February 2026 were enrolled. They were randomly assigned at a 1∶1 ratio into a control group （conventional Western medicine treatment） and an experimental group （Yishen Jiangtang decoction combined with conventional Western medicine treatment）， with 39 patients in each group. The treatment lasted for 12 weeks. Basic demographic data and medical history were collected before and after treatment. The two groups before and after treatment were compared in terms of the following parameters： Blood urea nitrogen （BUN）， serum creatinine （SCr）， estimated glomerular filtration rate （eGFR）， urinary albumin-to-creatinine ratio （UACR）， fasting blood glucose （FBG）， triglycerides （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C）. Enzyme-linked immunosorbent assay （ELISA） kits were used to measure serum glucose-regulated protein 78 （GRP78）， serum cysteinyl aspartate-specific protease-3 （Caspase-3）， and serum and urinary transforming growth factor-β₁ （TGF-β₁） levels before and after treatment. TCM symptom scores， TCM syndrome efficacy， and overall clinical efficacy were evaluated before and after treatment. Spearman correlation analysis was performed to explore the correlations of serum levels of GRP78 and Caspase-3， as well as serum and urinary levels of TGF-β1， with renal function， proteinuria， and glucose and lipid metabolism indicators in patients with DKD. In addition， safety indicators were also monitored. ResultsA total of 75 patients completed the study （38 in the control group and 37 in the experimental group）. ① Baseline data： The two groups were comparable in terms of sex and age， with no statistically significant difference. ② Efficacy outcomes： Compared with baseline levels， both groups showed reductions in BUN， SCr， UACR， FBG， TG， TC， LDL-C， and TCM symptom scores （P<0.01） and increases in eGFR level （P<0.01）. Moreover， the experimental group outperformed the control group in altering the indicators above （P<0.05）. Regarding TCM syndrome efficacy， the total response rate in the experimental group was 83.78%， which was higher than that （57.89%） in the control group （P<0.05）. Regarding overall clinical efficacy， the total response rate in the experimental group was 78.38%， which was higher than that （50.00%） in the control group （P<0.05）. ③ Mechanism outcomes： Compared with baseline levels， both groups showed declined serum levels of GRP78， Caspase-3， and TGF-β₁ and urinary level of TGF-β₁ after treatment （P<0.01）. Moreover， the experimental group showed greater declines than the control group （P<0.05）. The serum levels of GRP78， Caspase-3，and TGF-β₁ and the urinary level of TGF-β₁ in DKD patients showed positive correlations with BUN， SCr， UACR， and FBG and negative correlations with eGFR （P<0.05）. ④ Safety outcomes： Neither group showed drug-related adverse reactions， and laboratory safety parameters remained within normal ranges. ConclusionYishen Jiangtang decoction combined with conventional Western medicine treatment may safely and effectively alleviate clinical symptoms， correct glucose and lipid metabolism disorders， and protect the renal function in patients with stage G3A3 DKD and the pattern of Qi-Yin deficiency combined with dampness-heat and blood stasis. The mechanism may be associated with inhibition of the ERS-apoptosis axis and delay of the RF process.

Objective: To investigate the correlation between the color parameters (L^*, a^*, b^*, Eab^* values) of Polygoni Multiflori Radix Praeparata powder prepared by different processing techniques and the contents of 2,3,5,4’-tetrahydroxystilbene-2-O-β-D-glucopyranoside, emodin, physcion, emodin-8-O-β-D-glucopyranoside, physcion-8-O-β-D-glucopyranoside.
Methods: The L^*, a^*, b^* and Eab^* values of Polygoni Multiflori Radix Praeparata powder prepared by different processing techniques were determined by spectrophotometer, and the contents of the five components were determined by high performance liquid chromatography. Secondly, SPSS 26.0 software and Simca 14.1 software were used to analyze the correlation.
Results: Through the hierarchical cluster analysis (HCA), it was found that the steamed samples and black bean steamed samples could be obviously divided into two categories: raw products and processed products. The processed products could be further divided into 2-8 h and 12-48 h. Pearson correlation analysis showed that the content of stilbene glycoside was significantly positively correlated with L^*, a^* and b^* values (P<0.01). The a^* value was significantly positively correlated with the content of emodin and physcion (P<0.01). Emodin-8-O-β-D-glucoside was positively correlated with L^* value and b^* value, while physcion-8-O-β-D-glucoside was negatively correlated with a^* value. Partial least squares discriminant analysis (PLS) showed that 2,3,5,4’-tetrahydroxystilbene-2-O-β-D-glucoside (VIP=1.69) and emodin-8-O-β-D-glucoside (VIP=1.06) were the key variables affecting chromaticity characteristics (P<0.01).
Conclusion: The three processes of steaming, black bean steaming and black bean stewing are consistent in composition transformation and chromaticity variation, and stilbene glycoside can be used as a specific index component to characterize the processed color. Chromatic parameters can effectively reflect the processing progression and serve as quality monitoring indicators during production.