Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

Pulmonary fibrosis（PF） is a progressive and life-threatening disease with limited therapeutic options， highlighting the urgent need for innovative drug discovery strategies. To address this challenge， the authors propose the formula-originated rational intelligent screening&translation（FIRST）， a systematic framework for developing anti-fibrotic monomers derived from classical traditional Chinese medicine（TCM）. The strategy integrates three key dimensions， including tissue-oriented intelligent screening of active compounds， structural optimization based on drug-target spatial interactions and plant biosynthetic pathways， and cross-scale validation of drug. We further highlight its applications in discovering tissue-oriented novel drugs from clinically validated TCM， the development and mechanistic elucidation of anti-fibrotic therapeutics， as well as the clinical translation and secondary development of candidate drugs. This strategy paves the way for first-in-class， formula-derived monomeric drugs with defined structures， clarified mechanisms， and proven safety， offering a transformative avenue to meet the urgent therapeutic needs of PF and setting a new paradigm for TCM-based drug innovation.

Perimenopausal depression （PMD） is an affective disorder that occurs in women during the transition from sexual maturity to old age. It can induce various complications， such as insomnia and cognitive decline. The etiology of PMD is complex. Although multiple hypotheses have been proposed， there is still no unified theory that fully explains its pathogenesis. Research into its mechanisms relies heavily on animal experiments， and establishing reliable animal models is crucial for experimental studies. Appropriate animal models can better simulate human pathophysiological states， rapidly evaluate the efficacy and safety of drugs and intervention methods， grasp the essence of the disease， and uncover its intrinsic connections， thereby exploring more advanced intervention strategies. However， there is a lack of systematic review and summarization of literature related to model construction. Additionally， traditional Chinese medicine （TCM）， adhering to the principles of ''syndrome differentiation and treatment'' and ''holistic concept''， has shown significant efficacy in treating PMD. In recent years， research exploring and analyzing its therapeutic mechanisms has been increasing. Therefore， to gain a clearer and more comprehensive understanding of PMD animal modeling methods and the mechanisms of TCM， this paper reviewed Chinese and English literature on PMD animal models and mechanisms of TCM in PMD treatment. It summarized the construction methods of single-factor and multi-factor PMD models， and discussed the advantages and disadvantages of each modeling approach. Furthermore， it delved into the mechanisms of TCM intervention in PMD， revealing that TCM formulas primarily exert their effects by regulating the hypothalamic-pituitary-adrenal axis， hypothalamic-pituitary-ovarian axis， gut-brain axis， cell signaling pathways， neural circuits， hormone levels， and neurotransmitter levels. This review aims to provide a reference for future research in this field. In summary， by summarizing the progress in the methods for PMD animal model construction and the mechanisms of TCM， the paper seeks to offer new insights into the mechanistic research of TCM intervention in PMD.

OBJECTIVE To investigate the therapeutic effect and mechanism of Qiwei dongqingye powder （QDP） on bronchial asthma in mice. METHODS The mice were divided into blank group （normal saline）， model group （normal saline）， dexamethasone group （2 mg/kg）， and QDP low-， medium-， and high-dose groups （200， 400， 800 mg/kg）， with 14 mice in each group. Except for the blank group， mice in all other groups were given ovalbumin via intraperitoneal injection followed by aerosol inhalation to induce a bronchial asthma model. During the modeling process， mice in each group were administered corresponding drug solutions or normal saline intragastrically/intraperitoneally. After the last medication， the number of cells in the bronchoalveolar lavage fluid （BALF） of the mice was observed and counted； the pathological changes of the bronchus and lung tissue were observed； the levels of malondialdehyde （MDA）， nitric oxide （NO）， total superoxide dismutase （T-SOD）， and glutathione peroxidase （GSH-Px） in the lung tissue of the mice were determined， and the level of interleukin-17 （IL-17） in the BALF and serum was determined. Transcriptomics was employed to predict and validate the mechanism of action of QDP against bronchial asthma. RESULTS Compared with the model group， the total cell count， neutrophil count， lymphocyte count， and macrophage counts in the BALF of the QDP high-dose group were all significantly reduced （ P ＜0.05）； the levels of MDA and NO in the lung tissue， and the levels of IL-17 in the BALF and serum were all decreased significantly （ P ＜0.05）； the levels of T-SOD and GSH-Px were significantly increased （ P ＜0.05）； the arrangement of lung tissue cells tended to normalize， with reduced infiltration of inflammatory cells and decreased exfoliation of bronchial simple columnar epithelial cells. The transcriptomic results revealed that the differentially expressed genes were B-cell receptor signaling pathway， nuclear factor κB （NF-κB） signaling pathway， ferroptosis signaling pathway， and others. Further validation revealed that， compared with the model group， the expression levels of NF-κB p65 and chemokine ligand 20， as well as the phosphorylation level of NF-κB inhibitor protein α， were significantly decreased in the lung tissues of the mice in all QDP groups （ P ＜0.05）. Conversely， the protein expression of nuclear factor erythroid 2-related factor 2 （Nrf2） and heme oxygenase 1 （HO-1） were significantly increased （ P ＜0.05）. CONCLUSIONS QDP can effectively alleviate bronchial asthma by inhibiting the NF-κB signaling pathway， activating the Nrf2/HO-1 signaling pathway， regulating oxidative stress， and reducing inflammatory responses.

Objective: To conduct a scoping review on the types, construction methods and predictive performance of health literacy prediction models based on machine learning methods, so as to provide the reference for the improvement and application of such models. Methods: Publications on health literacy prediction models conducted using machine learning methods were retrieved from CNKI, Wanfang Data, VIP, PubMed and Web of Science from inception to May 1, 2024. The quality of literature was assessed using the Prediction Model Risk of Bias ASsessment Tool. Basic characteristics, modeling methods, data sources, missing value handling, predictors and predictive performance were reviewed. Results: A total of 524 publications were retrieved, and 22 publications between 2007 and 2024 were finally enrolled. Totally 48 health literacy prediction models were involved, and 25 had a high risk of bias (52.08%), with major issues focusing on missing value handling, predictor selection and model evaluation methods. Modeling methods included regression models, tree-based machine learning methods, support vector machines and neural network models. Predictors primarily encompassed factors at four aspects: individual, interpersonal, organizational and society/policy aspects, with age, educational level, economic status, health status and internet use appearing frequently. Internal validation was conducted in 14 publications, and external validation was conducted in 4 publications. Forty-two models reported the areas under the receiver operating characteristic curve, which ranged from 0.52 to 0.983, indicating good discrimination. Conclusion Health literacy prediction models based on machine learning methods perform well, but have deficiencies in risk of bias, data processing and validation.

Hepatocellular carcinoma(HCC)expresses abundant glycolytic enzymes and displays comprehensive glucose metabolism reprogramming.Aldolase A(ALDOA)plays a prominent role in glycolysis;however,little is known about its role in HCC development.In the present study,we aim to explore how ALDOA is involved in HCC proliferation.HCC proliferation was markedly suppressed both in vitro and in vivo following ALDOA knockout,which is consistent with ALDOA overexpression encouraging HCC prolifera-tion.Mechanistically,ALDOA knockout partially limits the glycolytic flux in HCC cells.Meanwhile,ALDOA translocated to nuclei and directly interacted with c-Jun to facilitate its Thr93 phosphorylation by P21-activated protein kinase;ALDOA knockout markedly diminished c-Jun Thr93 phosphorylation and then dampened c-Jun transcription function.A crucial site Y364 mutation in ALDOA disrupted its interaction with c-Jun,and Y364S ALDOA expression failed to rescue cell proliferation in ALDOA deletion cells.In HCC patients,the expression level of ALDOA was correlated with the phosphorylation level of c-Jun(Thr93)and poor prognosis.Remarkably,hepatic ALDOA was significantly upregulated in the promotion and progression stages of diethylnitrosamine-induced HCC models,and the knockdown of Aldoa strikingly decreased HCC development in vivo.Our study demonstrated that ALDOA is a vital driver for HCC development by activating c-Jun-mediated oncogene transcription,opening additional avenues for anti-cancer therapies.

The innate immune system serves as the body’s first line of defense against pathogens and plays a central role in inflammation regulation, immune homeostasis, and tumor immunosurveillance. In recent years, with the growing recognition of the concept “exercise is medicine”, increasing attention has been paid to the immunoregulatory effects of physical activity. Accumulating evidence suggests that regular, moderate-intensity exercise significantly enhances innate immunity by strengthening the skin-mucosal barrier, increasing levels of secretory immunoglobulin A (sIgA), and improving the functional capacity of key immune cells such as natural killer (NK) cells, neutrophils, macrophages, and dendritic cells. It also modulates the complement system and various inflammatory mediators. This review comprehensively summarizes the effects of exercise on each component of the innate immune system and highlights the underlying molecular mechanisms, including activation of AMP-activated protein kinase (AMPK), inhibition of nuclear factor-kappa B (NF-κB), enhancement of mitochondrial function via the PGC-1α/TFAM axis, and initiation of autophagy through the ULK1/mTOR pathway. Emerging mechanisms are also discussed, such as exercise-induced epigenetic modifications (e.g., histone acetylation and miRNA regulation), modulation of the gut microbiota, and metabolite-mediated immune programming (e.g., short-chain fatty acids (SCFAs), β‑hydroxybutyrate). The effects of exercise on innate immunity vary considerably among individuals, depending on factors such as age, sex, and comorbidities. For example, adolescents exhibit enhanced NK cell mobilization, whereas older adults benefit from reduced chronic inflammation and immune aging. Sex hormones and metabolic conditions (e.g., obesity, diabetes, chronic obstructive pulmonary disease, cancer) further modulate the immune response to exercise. Based on these insights, we propose a personalized approach to exercise prescription guided by the FITT (frequency, intensity, time, and type) principle, aiming to optimize immune outcomes across diverse populations. Importantly, given the dual role of exercise in immune activation and regulation, caution is warranted: while moderate exercise enhances immune defense, excessive or high-intensity activity may induce transient immunosuppression. In pathological contexts such as infection, autoimmune diseases, or tissue injury, exercise intensity and timing must be carefully adjusted. This review provides practical guidelines for exercise-based immune modulation and underscores the need for dose-response studies and advancements in precision exercise medicine. In conclusion, exercise represents a safe and effective strategy for enhancing innate immune function and mitigating chronic inflammatory diseases.

ObjectiveIn nature, objects cast shadows due to illumination, forming the basis for stereoscopic perception. Birds need to adapt to changes in lighting (meaning they can recognize stereoscopic shapes even when shadows look different) to accurately perceive different three-dimensional forms. However, how neurons in the key visual brain area in birds handle these lighting changes remains largely unreported. In this study, pigeons (Columba livia) were used as subjects to investigate how neurons in pigeon’s ventrolateral mesopallium (MVL) represent stereoscopic shapes consistently, regardless of changes in lighting. MethodsVisual cognitive training combined with neuronal recording was employed. Pigeons were first trained to discriminate different stereoscopic shapes (concave/convex). We then tested whether and how light luminance angle and surface appearance of the stereoscopic shapes affect their recognition accuracy, and further verify whether the results rely on specify luminance color. Simultaneously, neuronal firing activity of neurons was recorded with multiple electrode array implanted from the MVL during the presentation of difference shapes. The response was finally analyzed how selectively they responded to different stereoscopic shapes and whether their selectivity was affected by the changes of luminance condition (like lighting angle) or surface look. Support vector machine (SVM) models were trained on neuronal population responses recorded under one condition (light luminance angle of 45°) and used to decode responses under other conditions (light luminance angle of 135°, 225°, 315°) to verify the invariance of responses to different luminance conditions. ResultsBehavioral results from 6 pigeons consistently showed that the pigeons could reliably identify the core 3D shape (over 80% accuracy), and this ability wasn’t affected by changes in light angle or surface appearance. Statistical analysis of 88 recorded neurons from 6 pigeons revealed that 83% (73/88) showed strong selectivity for specific 3D shapes (selectivity index>0.3), and responses to convex shapes were consistently stronger than to concave shapes. These shape-selective responses remained stable across changes in light angle and surface appearance. Neural patterns were consistent under both blue and orange lighting. The decoding accuracy achieves above 70%, suggesting stable responses under different conditions (e.g., different lighting angles or surface appearance). ConclusionNeurons in the pigeon MVL maintain a consistent neural encoding pattern for different stereoscopic shapes, unaffected by illumination or surface appearance. This ensures stable object recognition by pigeons in changing visual environments. Our findings provide new physiological evidence for understanding how birds achieve stable perception (“invariant neural representations”) while coping with variations in the visual field.

The patient, assigned female at birth and aged 1 year and 7 months, presented with clinical manifestations of 46,XY disorders of sex development. The external genitalia exhibited a severely undermasculinized phenotype. Laboratory tests and gonadal biopsy indicated poor Leydig cell function and good Sertoli cell function. Genetic testing revealed compound heterozygous mutations of c.867-2A>C and c.547G>A (p.G183R) in the LHCGR gene. The patient was ultimately diagnosed with type II Leydig cell hypoplasia. Type II Leydig cell hypoplasia presents a broad spectrum of clinical phenotypes, characterized by a lack of parallel function between Leydig cells and Sertoli cells, and significant individual variability in spermatogenesis and gender assignment. This condition should be considered when there is poor Leydig cell function but good development of Wolffian duct derivatives.
Female ; Humans ; Infant ; Disorder of Sex Development, 46,XY/genetics* ; Leydig Cells/pathology* ; Mutation ; Receptors, LH/genetics* ; Testis/abnormalities*

Objective:To investigate the efficacy and mechanism of botulinum toxin type A (BTX-A) combined with static progressive stretching (SPS) in the treatment of traumatic knee stiffness in rats.Methods:Forty healthy male SD rats aged 8 weeks and weighing 220-300 g, were randomly divided into blank control group ( n=8) and model groups ( n=28) (including injury group, BTX-A group, SPS group and BTX-A+SPS group, with 7 in each group). Hlidebrand′s method was used to construct a traumatic knee stiffness model, with the following main steps: destruction of the joint capsule, Kirschner wire fixation, joint drilling, and removal of the internal fixation at 4 weeks. The blank control group did not receive any treatment and could move freely in the cage. The injury group moved freely after successful modeling. On the day of internal fixation removal, BTX-A was injected into the joint cavity in group BTX-A, SPS treatment was started in the SPS group, BTX-A was injected into the joint cavity and SPS treatment was started in the BTX-A+SPS group. The treatments lasted 16 days. The range of motion (ROM) and joint stiffness were measured before treatment and at 16 days after treatment. At 16 days after treatment, knee joint tissue was collected and the rats were sacrificed, and the articular capsule fibrous tissue proliferation was observed by HE and Masson staining. The expression levels of phosphorylated (p)-Smad2, Smad2, p-Smad3, Smad3, Smad4, transforming growth factor-β1 (TGF-β1), collagen type I, collagen type III, and α-smooth actin (α-SMA) were determined by Western blot. The ratio of phosphorylated protein to total protein was calculated to reflect the phosphorylation level. Results:(1) ROM: Before treatment, the ROM in the blank control group was significantly higher than that in the other groups ( P<0.05), with no significant difference in ROM among the other groups ( P>0.05). At 16 days after treatment, ROM in the injury group, BTX-A group, SPS group, and BTX-A+SPS group was lower than that in the blank control group ( P<0.05), among which ROM in the BTX-A+SPS group was significantly higher than that in the injury group, BTX-A group, and SPS group ( P<0.05). At 16 days after treatment, there was no significant difference in ROM before and after treatment in the blank control group ( P>0.05), and ROM in the other groups was significantly increased compared with that before treatment ( P<0.01). (2) Joint stiffness: At 16 days after treatment, the joint stiffness levels in the injury group, the BTX-A group, and the SPS group were (0.95±0.24)N·cm/°, (0.86±0.22)N·cm/°, and (0.65±0.09)N·cm/° respectively, which were significantly lower than (0.36±0.03)N·cm/° in the blank control group ( P<0.05). The joint stiffness level of the BTX-A+SPS group was (0.49±0.04)N·cm/°, which was not significantly different from that in the blank control group ( P>0.05), but was significantly lower than those in the injury group, BTX-A group, and SPS group ( P<0.05). (3) Fibrous tissue proliferation: at 16 days after treatment, the joint capsular structure in the blank control group was complete and clear, the fibers were arranged in order, and there was no obvious fibrous tissue proliferation. The pathological changes in the injury group were the most serious, with a large number of synovial fibrous tissue proliferation, significantly increased blood vessels in the tissue, and inflammatory cell infiltration. Compared with the SPS group and BTX-A group, the lesions in BTX-A+SPS group were milder, with only slight increase in the number of synovial cells but no obvious vascular proliferation or lymphocytes, and the overall lesions were the least severe. (4) Protein expression: the ratios of p-Smad2/Smad2 in the injury group, BTX-A group and SPS group were 1.552±0.234, 1.328±0.272 and 1.194±0.277 respectively, which were higher than 0.794±0.082 in the blank control group ( P<0.05). The ratio of p-Smad2/Smad2 in the BTX-A+SPS group was 1.013±0.123, which was not significantly different from those in the blank control group, BTX-A group or SPS group ( P>0.05), but was lower than that in the injury group ( P<0.05). At 16 days after treatment, the p-Smad3/Smad3 ratios in the injury group, BTX-A group, SPS group and BTX-A+SPS group were 2.272±0.309, 1.664±0.285, 1.381±0.276 and 1.003±0.060 respectively, which were higher than 0.515±0.051 in the blank control group ( P<0.05). The p-Smad3/Smad3 ratio in the BTX-A+SPS group was significantly lower than those in the injury group, BTX-A group and SPS group ( P<0.05). At 16 days after treatment, the level of Smad4 in the injury group (1.001±0.015) was higher than 0.294±0.076 in the blank control group ( P<0.05). However, there was no significant difference between the BTX-A group (0.664±0.051), SPS group (0.833±0.045), BTX-A+SPS group (0.467±0.068) or the blank control group ( P>0.05). The level of Smad4 in the BTX-A+SPS group was significantly lower than those in the injury group, BTX-A group and SPS group ( P<0.05). At 16 days after treatment, the level of TGF-β1 in the injury group (1.004±0.407) was higher than 0.269±0.122 in the blank control group ( P<0.05), while there was no significant difference between the BTX-A group (0.564±0.194), SPS group (0.422±0.086) and BTX-A+SPS group (0.347±0.161) and the blank control group ( P>0.05). The level of TGF-β1 in the BTX-A+SPS group was significantly lower than those in the injury group, BTX-A group and SPS group ( P<0.05). At 16 days after treatment, the level of type I collagen in the injury group was 0.999±0.170, higher than 0.299±0.139 in the blank control group ( P<0.05), while there was no significant difference between the BTX-A group (0.542±0.278), SPS group (0.561±0.165), and BTX-A+SPS group (0.537±0.045) and the blank control group ( P>0.05). The level of collagen type I in the BTX-A+SPS group was significantly lower than those in the injury group, BTX-A group, and SPS group ( P<0.05). At 16 days after treatment, the level of type III collagen in the injury group was 1.002±0.126, higher than 0.239±0.106 in the blank control group ( P<0.05), while there was no significant difference between the BTX-A group (0.661±0.062), SPS group (0.595±0.062), and BTX-A+SPS group (0.504±0.269) and the blank control group ( P>0.05). The level of collagen type III in the BTX-A+SPS group was significantly lower than those in the injury group, BTX-A group, and SPS group ( P<0.05). At 16 days after treatment, the level of α-SMA in the injury group was 0.998±0.074, higher than 0.130±0.023 in the blank control group ( P<0.05), while there was no significant difference between the BTX-A group (0.358±0.060), SPS group (0.432±0.230), and BTX-A+SPS group (0.293±0.135) and the blank control group ( P>0.05). The level of α-SMA in the BTX-A+SPS group was significantly lower than those in the injury group, BTX-A group and SPS group ( P<0.05). Conclusions:Compared with single treatment, the combination of BTX-A and SPS demonstrates significantly greater efficacy in the treatment of traumatic knee stiffness in rats. This combined approach not only enhances joint mobility and elasticity but also effectively inhibits joint capsule fibrosis. The underlying mechanism may involve the further suppression of TGF-β1 expression in the joint capsule, leading to reduced phosphorylation levels of Smad2 and Smad3. This, in turn, inhibits the binding of Smad2 and Smad3 to the Smad4 receptor, ultimately downregulating the expression of the downstream proteins of the TGF-β/Smad signaling pathway, such as collagen type I, collagen type III and α-SMA.