Objective To summarize the clinical efficacy of modified Morrow surgery in the treatment of hypertrophic obstructive cardiomyopathy. Methods A retrospective analysis was conducted on the clinical data of patients with hypertrophic obstructive cardiomyopathy treated with modified Morrow surgery at Zhongshan Hospital Affiliated to Fudan University from 2020 to 2023. Results A total of 318 patients were enrolled, including 156 males and 162 females, with an average age of (55.6±13.1) years. Preoperative echocardiography showed a mean interventricular septal thickness of (18.1±3.8) mm, peak left ventricular outflow tract pressure difference of (86.4±24.9) mm Hg. The surgery time was (162.3±51.0) min, extracorporeal circulation time was (80.9±31.0) min, and aortic occlusion time was (44.8±20.8) min. After the surgery, transesophageal echocardiography showed that the interventricular septal thickness was (11.0±1.8) mm and left ventricular outflow tract peak pressure difference was (9.4±5.1) mm Hg. The incidence rate of postoperative complete left bundle branch block was 45.3%, Ⅲ° atrioventricular block was 3.8%, and postoperative newly developed atrial fibrillation was 3.1%. The postoperative hospital stay was (6.6±4.9) days, and one perioperative death occurred, with a mortality rate of 0.3%. The follow-up time was (10.3±9.4) months, during which the transthoracic echocardiography revealed a ventricular septal thickness of (12.9±2.9) mm and a peak left ventricular outflow tract pressure difference of (13.9±10.0) mm Hg. Conclusion The modified Morrow procedure for the treatment of hypertrophic obstructive cardiomyopathy is safe and effective, with good results in the short and medium term.

Objective To analyze the situation of rapid antiretroviral therapy (ART) and death of HIV/AIDS in Wuhan from 1994 to 2023, and to provide a scientific basis for further rapid initiation of ART and reduction of mortality rate. Methods According to the case follow-up and treatment database of China AIDS Prevention and Control Information System, data were obtained from all the cases reported from January 1, 1994 to December 31, 2023 with the current address in Wuhan City and the review status of the final review card. The data were analyzed using Kaplan-Meier and Cox proportional hazards models. Results The total mortality rate of HIV/AIDS in Wuhan from 1994 to 2023 was 12.76%. The proportion of receiving antiretroviral therapy within 30 days increased year by year, and the mortality rate decreased year by year. After adjusting for sex, age, occupation, ethnicity, education level, mobile population, history of STD, route of infection, source of sample, and first CD4 value, receiving antiretroviral therapy within 30 days (HR=0.08, 95%CI: 0.07-0.10) was a protective factor for HIV/AIDS mortality. Conclusion Rapid antiretroviral therapy can significantly reduce the risk of HIV/AIDS death. A sustainable model of rapid initiation of antiretroviral therapy should be further established to increase the proportion of rapid antiretroviral therapy for HIV/AIDS in Wuhan.

ObjectiveTo investigate the effect and mechanism of long intergenic non-coding RNA02086 （LINC02086） overexpression mediated macrophage polarization on the proliferation， migration and invasion of gastric cancer cells. MethodsThe expression levels of LINC02086 in the human gastric epithelial cell line GES-1 and human gastric cancer cell lines HCG-27， NCI-N87， and AGS were determined by qRT-PCR. Human acute monocytic leukemia cells （THP-1） were induced to differentiate into M0 macrophages using phorbol 12-myristate 13-acetate （PMA）. HGC-27 cells were infected with either LINC02086 overexpression lentivirus （OE-LINC02086） or its negative control lentivirus （Vector）， and the culture supernatants were collected as conditioned medium （CM1）. M0 macrophages were co-cultured with the infected HGC-27 cells， and the resulting supernatants were designated as conditioned medium 2 （CM2）. M0 macrophages were treated with CM1 alone or in combination with Wnt/β-catenin pathway inhibitor IWR-1， forming the Vector+CM1， OE-LINC02086+CM1， and OE-LINC02086+CM1+IWR-1 groups， respectively. Flow cytometry was used to detect mannose receptor C-type 1 （CD206） expression， and qRT-PCR was employed to measure mRNA levels of interleukin-10 （IL⁃10）， transforming growth factor-β （TGF⁃β）， vascular endothelial growth factor （VEGF）， and chemokine ligand 22 （CCL22）. Western blot was performed to evaluate protein expression of CD206， VEGF， and key components of the Wnt/β-catenin pathway—Wnt family member 3a （Wnt3a）， glycogen synthase kinase-3β （GSK-3β）， and β-catenin. HGC-27 cells were treated with CM2 alone or combined with IWR-1， establishing the Vector+CM2， OE-LINC02086+CM2， and OE-LINC02086+CM2+IWR-1 groups. CCK-8 assay was used to evaluate cell proliferation， and Transwell assays were conducted to assess migration and invasion capabilities. ResultsCompared with GES-1 cells， the expression levels of LINC02086 were upregulated in HCG-27， NCI-N87， and AGS cells （P < 0.05）， with the smallest increase observed in HCG-27 cells. Compared with Vector+CM1 group， the level of CD206 and the expression levels of IL⁃10， TGF⁃β， VEGF and CCL22 mRNA in macrophages stimulated by OE-LINC02086+CM1 increased （P<0.05）. Meanwhile， the expression levels of Wnt3a and β-catenin proteins in cells increased （P<0.05）， and the expression level of GSK-3β protein decreased （P<0.05）. However， co-treatment with IWR-1 markedly reversed the promoting effects of LINC02086 overexpression on the expression of M2 polarization markers， including CD206， IL⁃10， and TGF⁃β mRNA， in macrophages （P<0.05）， as well as its activation of the Wnt/β-catenin signaling pathway （P<0.05）. Compared with Vector+CM2 group， HGC-27 cells infected with OE-LINC02086+CM2 had increased proliferation activity and increased number of migration and invasion cells （P<0.05）. However， the combined intervention of IWR-1 significantly reversed the promotion of LINC02086 overexpression on the proliferation， migration and invasion of HGC-27 cells （P<0.05）. ConclusionLINC02086 overexpression promotes the proliferation， migration and invasion of gastric cancer cells by activating Wnt/β-catenin pathway to mediate M2 polarization of macrophages.

ObjectiveZheng’s San Qi San (ZSQS) power, a classic traditional Chinese medicine (TCM) formula, is used for treating soft tissue injuries involving muscles, tendons, and ligaments. However, its underlying therapeutic mechanisms remain unclear. This study aimed to screen and identify pharmaceutically active ingredients and their candidate biomolecule targets, and further elucidate the molecular mechanism of ZSQS in the treatment of skeletal muscle injury. MethodsNetwork pharmacology was employed to construct “ZSQS-component-target”, “protein-protein interaction (PPI)” and “active ingredient-core protein-pathway” networks to predict the key active ingredients and potential core targets of ZSQS for skeletal muscle injury. The predicted results were then validated via microarray data from the GEO database. Molecular docking was then performed to assess the binding ability between the screened active ingredients of ZSQS and the candidate core targets. Moreover, liquid chromatography-mass spectrometry (LC-MS) was used for qualitative and quantitative analysis to verify the active components of the drug and ZSQS serum. Finally, an animal model of eccentric exercise-induced skeletal muscle injury and a myotube cell model of oxidative stress-induced injury were established to validate the effects of ZSQS and its interventional effects on the biological functions of critical targets, thereby demonstrating the potential therapeutic mechanism of ZSQS. ResultsAmong the 111 active components identified in ZSQS and their corresponding 204 targets related to the skeletal muscle injury repair process, 14 core targets (including AKT1) and 4 core active components (quercetin, luteolin, kaempferol, and β‑sitosterol) were screened out, while the corresponding metabolites of quercetin, luteolin and kaempferol were detected in the ZSQS serum. Among these targets, 5 candidate genes (IL-6, CASP3, HIF1A, STAT3, and JUN) overlapped with the differential expression screening results with GEO data, and IL-6 was confirmed to be enriched in the PI3K/AKT pathway. Combined with the prediction results of the AKT expression levels, these findings suggest that the phosphorylation level of AKT1 plays a core role in the therapeutic mechanism of ZSQS. Molecular docking analysis further revealed that the PH domain of AKT1 had high binding energy with all 4 core active components, as verified by LC-MS. Finally, animal model studies have shown the promoting effect of ZSQS administration on skeletal muscle injury repair and its possible antioxidant damage mechanism. Cell model studies further demonstrated that ZSQS-containing serum, core active ingredient combination therapy, and quercetin monomer could increase the phosphorylation level of AKT, promote the nuclear translocation of Nrf2, upregulate the expression of downstream antioxidant enzymes (SOD, GPx, and GR), and inhibit the expression of inflammatory factors (IL-6 and TNF-α), thereby alleviating oxidative stress and the inflammatory response. ConclusionZSQS alleviates skeletal muscle injury mainly by activating the AKT/Nrf2 signaling pathway, enhancing cellular antioxidant and anti-inflammatory capabilities. The results of this study provide a scientific basis for the clinical application and modernized development of ZSQS.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective To explore the application of plasma 7 microRNA (miR7) testing in the differential diagnosis of very early-stage hepatocellular carcinoma (HCC). Methods This study is a multicenter real-world study. Patients with single hepatic lesion (maximum diameter≤2 cm) who underwent plasma miR7 testing at Zhongshan Hospital, Fudan University, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine, Anhui Provincial Hospital, and Peking University People’s Hospital between January 2019 and December 2024 were retrospectively enrolled. Patients were divided into very early-stage HCC group and non-HCC group, and the clinical pathological characteristics of the two groups were compared. The value of plasma miR7 levels, alpha-fetoprotein (AFP), and des-gamma-carboxy prothrombin (DCP) in the differential diagnosis of very early-stage HCC was evaluated using receiver operating characteristic (ROC) curves and area under the curve (AUC). In patients with both negative AFP and DCP (AFP＜20 ng/mL, DCP＜40 mAU/mL), the diagnostic value of plasma miR7 for very early-stage HCC was analyzed. Results A total of 64 528 patients from 4 hospitals underwent miR7 testing, and 1 682 were finally included, of which 1 073 were diagnosed with very early-stage HCC and 609 were diagnosed with non-HCC. The positive rate of miR7 in HCC patients was significantly higher than that in non-HCC patients (67.9% vs 24.3%, P＜0.001). ROC curves showed that the AUCs for miR7, AFP, and DCP in distinguishing HCC patients from the non-HCC individuals were 0.718, 0.682, and 0.642, respectively. The sensitivities were 67.85%, 43.71%, and 44.45%, and the specificities were 75.70%, 92.78%, and 83.91%, respectively. The pairwise comparison of AUCs showed that the diagnostic efficacy of plasma miR7 detection was significantly better than that of AFP or DCP (P＜0.05). Although its specificity was slightly lower than AFP and DCP, the sensitivity was significantly higher. Among patients negative for both AFP and DCP, miR7 maintained an AUC of 0.728 for diagnosing very early-stage HCC, with 67.82% sensitivity and 77.73% specificity. Conclusions Plasma miR7 testing is a potential molecular marker with high sensitivity and specificity for the differential diagnosis of small hepatic nodules. In patients with very early-stage HCC lacking effective molecular markers (negative for both AFP and DCP), miR7 can serve as a novel and effective molecular marker to assist diagnosis.

In recent years, the application of artificial intelligence (AI) in the field of biology has witnessed remarkable advancements. Among these, the most notable achievements have emerged in the domain of protein structure prediction and design, with AlphaFold and related innovations earning the 2024 Nobel Prize in Chemistry. These breakthroughs have transformed our ability to understand protein folding and molecular interactions, marking a pivotal milestone in computational biology. Looking ahead, it is foreseeable that the accurate prediction of various physicochemical properties of proteins—beyond static structure—will become the next critical frontier in this rapidly evolving field. One of the most important protein properties is thermodynamic stability, which refers to a protein’s ability to maintain its native conformation under physiological or stress conditions. Accurate prediction of protein stability, especially upon single-point mutations, plays a vital role in numerous scientific and industrial domains. These include understanding the molecular basis of disease, rational drug design, development of therapeutic proteins, design of more robust industrial enzymes, and engineering of biosensors. Consequently, the ability to reliably forecast the stability changes caused by mutations has broad and transformative implications across biomedical and biotechnological applications. Historically, protein stability was assessed via experimental methods such as differential scanning calorimetry (DSC) and circular dichroism (CD), which, while precise, are time-consuming and resource-intensive. This prompted the development of computational approaches, including empirical energy functions and physics-based simulations. However, these traditional models often fall short in capturing the complex, high-dimensional nature of protein conformational landscapes and mutational effects. Recent advances in machine learning (ML) have significantly improved predictive performance in this area. Early ML models used handcrafted features derived from sequence and structure, whereas modern deep learning models leverage massive datasets and learn representations directly from data. Deep neural networks (DNNs), graph neural networks (GNNs), and attention-based architectures such as transformers have shown particular promise. GNNs, in particular, excel at modeling spatial and topological relationships in molecular structures, making them well-suited for protein modeling tasks. Furthermore, attention mechanisms enable models to dynamically weigh the contribution of specific residues or regions, capturing long-range interactions and allosteric effects. Nevertheless, several key challenges remain. These include the imbalance and scarcity of high-quality experimental datasets, particularly for rare or functionally significant mutations, which can lead to biased or overfitted models. Additionally, the inherently dynamic nature of proteins—their conformational flexibility and context-dependent behavior—is difficult to encode in static structural representations. Current models often rely on a single structure or average conformation, which may overlook important aspects of stability modulation. Efforts are ongoing to incorporate multi-conformational ensembles, molecular dynamics simulations, and physics-informed learning frameworks into predictive models. This paper presents a comprehensive review of the evolution of protein thermodynamic stability prediction techniques, with emphasis on the recent progress enabled by machine learning. It highlights representative datasets, modeling strategies, evaluation benchmarks, and the integration of structural and biochemical features. The aim is to provide researchers with a structured and up-to-date reference, guiding the development of more robust, generalizable, and interpretable models for predicting protein stability changes upon mutation. As the field moves forward, the synergy between data-driven AI methods and domain-specific biological knowledge will be key to unlocking deeper understanding and broader applications of protein engineering.

Background Exposure to benzo[a]pyrene (BaP) may impair lung function through various mechanisms; however, it remains uncertain whether BaP induces ferroptosis in lung tissue cells, resulting in lung function impairment. Objective To investigate the ferroptosis of lung tissue cells triggered by subchronic BaP exposure in mice and its correlation with lung injury, and to explore the function of ferroptosis in BaP-induced lung tissue damage. Method Seventy-two healthy 3-weeks-old male C57BL/6J mice were acclimatized for 1 week and then randomly divided into six groups: control group (corn oil 10 mL·kg⁻¹), low-dose BaP group (2.5 mg·kg⁻¹), medium-dose BaP group (5 mg·kg⁻¹), high-dose BaP group (10 mg·kg⁻¹), BaP+ferrostatin-1 (Fer-1) group (10 mg·kg⁻¹+1 mg·kg⁻¹), and Fer-1 group (1 mg·kg⁻¹), with 12 mice each group. Corn oil and BaP were administered via gavage every other day, followed by an intraperitoneal injection of Fer-1 the subsequent day, throughout a period of 90 d. Whole-body plethysmography was applied to detect lung function; hematoxylin-eosin staining (HE) and Masson staining were used to observe lung tissue injury and fibrosis; microscopy of alveolar epithelial cells was conducted to reveal mitochondrial morphology; biochemical assays were used to measure the content of tissue iron, malondialdehyde (MDA), and glutathione (GSH), as well as the activity of glutathione peroxidase (GSH-Px); Western blotting and real-time quantitative PCR (RT-qPCR) analyses were performed to reveal the protein and mRNA expression of ferroptosis markers. Results Compared to the control group, the high-dose BaP group showed a significant increase in expiration time (Te) (P<0.01), and a significant decrease in ratio rate of achieving peak expiratory flow (Rpef), tidal volume (TVb), peak inspiratory flow (PIF), minute volume (MVb), and peak expiratory flow (PEF) (P<0.05 or 0.01). Based on the results of HE and Masson staining, partial destruction of alveolar structures, thickening of alveolar walls, infiltration of inflammatory cells, significant thickening of tracheal walls and a large deposition of collagen fibers in lung tissue were observed in the medium- and high-dose BaP groups. By microscopy, the alveolar epithelial cells exposed to low-dose BaP showed condensed chromatin, and the mitochondria exposed to medium and high-dose BaP showed wrinkles, increased mitochondrial membrane density, and diminished mitochondrial cristae. Compared to the control group, in the medium- and high-dose BaP groups, the lung tissue iron content and the expression levels of ACSL4 protein and mRNA significantly elevated (P<0.01 or 0.05), while the mRNA expression level of SLC7A11 significantly decreased (P<0.05); in the high-dose BaP group, the MDA content, COX2 protein, and PTGS2 mRNA expression levels significantly increased (P<0.05 or 0.01), GSH content and GSH-Px activity, GPX4 protein and mRNA expression levels, and the expression level of SLC7A11 protein significantly decreased (P<0.01 or 0.05). The ferroptosis inhibitor Fer-1 markedly reversed respiratory function, morphology, mitochondrial alterations, and the aforementioned ferroptosis-related biochemical indicators. Conclusion Subchronic exposure to BaP can induce ferroptosis in mice lung tissue cells, resulting in compromised lung function.

Objective: To explore the mechanism of Buzhong Yiqi Decoction in modulating macrophage polarization and intervening in autoimmune thyroiditis (AIT) mice. Methods: Using the random number table method, 48 SPF-grade NOD.H-2h4 mice were assigned to the normal, model, low-dose (4.10 g/kg), medium-dose (8.19 g/kg), high-dose group (16.38 g/kg) of Buzhong Yiqi Decoction, and selenium yeast tablet (0.026 mg/kg) groups, with eight mice in each group. All groups, except the normal group, were free to drink high iodine water (0.05% sodium iodide) to prepare AIT mouse models for 8 consecutive weeks. After the modeling was complete, each treatment group was orally administered with the corresponding medication, while the normal and model groups were orally administered with an equal volume of distilled water once a day for 8 consecutive weeks. High-performance liquid chromatography with an oscillometric refractive detector was used to analyze the content of Astragaloside Ⅳ in Buzhong Yiqi Decoction. Hematoxylin and eosin staining was used to observe the pathological morphology of mouse thyroid tissue. Enzyme-linked immunosorbent assay (ELISA) was used to detect the levels of serum thyroid peroxidase antibody (TPO-Ab), thyroglobulin antibody (TgAb), interleukin (IL)-6, IL-10, and tumor necrosis factor-α (TNF-α). An immunofluorescence assay was used to detect the positive area percentage of M1 and M2 macrophages in mouse thyroid tissue. Flow cytometry assay was used to detect macrophage polarization in mouse spleen tissue. Real-time fluorescence quantitative PCR was used to detect the mRNA expression of nucleotide-binding domain leucine-rich repeat and pyrin domain-containing receptor 3 (NLRP3), nuclear factor kappa B inhibitory protein α (IκBα), and nuclear factor-κB (NF-κB) p65 in mouse spleen tissue. Western blotting was used to detect the expression of the phosphorylated IκBα (p-IκBα), phosphorylated NF-κB p65 (p-NF-κB p65), and NLRP3 protein in mouse spleen tissue. Results: The content of Astragaloside Ⅳ in Buzhong Yiqi Decoction was (7.09±0.06) g/L. Compared to the normal group, significant lymphocyte infiltration was observed in the thyroid tissue of mice in the model group. The levels of serum TPO-Ab, TgAb, IL-6, and TNF-α increased (P<0.05). The positive area percentage of M1 macrophages in thyroid tissue increased (P<0.05). The proportion of M1 macrophages and M1/M2 in spleen tissue increased (P<0.05). The relative expression levels of NF-κB p65 and NLRP3 mRNA in spleen tissue increased (P<0.05). The relative expression of p-IκBα, p-NF-κB p65, and NLRP3 proteins increased (P<0.05). Compared to the model group, the inflammation infiltration degree in the thyroid tissue of mice in each dose group of Buzhong Yiqi Decoction and selenium yeast tablet group was reduced, the serum TPO-Ab, TgAb, IL-6, TNF-α content was decreased, the spleen tissue M1/M2 was reduced, the expression of NF-κB p65 mRNA was reduced, and the relative expression levels of p-IκBα, p-NF-κB p65 protein were reduced (P<0.05). The Buzhong Yiqi Decoction high-dose and selenium yeast tablets groups showed an increase in IL-10 content, an increase in positive area percentage of M2 macrophages in thyroid tissue, an increase in M2 macrophages proportion in spleen tissue, and a decrease in NLRP3 mRNA and protein relative expression levels (P<0.05). Conclusion Buzhong Yiqi Decoction may regulate macrophage polarization by inhibiting the NF-κB/NLRP3 signaling pathway, thus improving the inflammatory damage in mice with AIT.

OBJECTIVE To establish refined medication rules for parenteral nutrition （PN） and evaluate its effectiveness. METHODS Refined medication rules for PN were constructed based on drug instructions， relevant guidelines， and expert consensus. Through the pre-approval review system of prescription automatic screening system （PASS）， PN prescription information for inpatients from January to December 2024 （referred to as “post-intervention”） was collected to analyze the post- intervention prescription review status. PN prescription information for inpatients at our hospital from January to December 2023 and January to December 2024 was collected through the medical order review system to evaluate the rationality rates of PN prescriptions. RESULTS The established refined medication rules for PN included system module rules （including nutrients， drug compatibility， PN concentration and osmotic pressure） and custom review rules （covering off-label drug use， drug compatibility， and other drug use conditions）. As of December 2024， the PASS pre-approval review system had established a total of 102 rules， comprising 55 system module rules and 47 custom review rules for PN. After intervention， when comparing with the first quarter of 2024， the number of PN reviewed and intervened by pharmacists decreased， the pharmacist intervention rate dropped， while the rate of physician modifications following pharmacist intervention increased in the fourth quarter. The primary types of irrational prescriptions identified by the system module rules were irrational PN concentration and osmotic pressure. The primary types of irrational prescriptions identified by the custom review rules were off-label drug use （specifically indications for amino acids） and irrational drug incompatibility. In 2024， the number of false-positive tasks and the false-positive rate initially increased and then decreased， while both the number of irrational prescriptions identified through manual review and the false-negative rate showed a declining trend. In 2024， the overall rationality rate after manual review PN refined medication rules for PN medical order review system significantly increased compared to that in 2023 （P＜0.01）. CONCLUSIONS The refined medication rules for PN in our hospital were established successfully， which can reduce the PN-induced risks and significantly improve the rationality of PN prescriptions.