This study aimed to investigate the correlation between changes in intestinal toxicity and compositional alterations of Euphorbiae Ebracteolatae Radix(commonly known as Langdu) before and after milk processing, and to explore the detoxification mechanism of milk processing. Mice were intragastrically administered the 95% ethanol extract of raw Euphorbiae Ebracteolatae Radix, milk-decocted(milk-processed), and water-decocted(water-processed) Euphorbiae Ebracteolatae Radix. Fecal morphology, fecal water content, and the release levels of inflammatory cytokines tumor necrosis factor-α(TNF-α) and interleukin-1β(IL-1β) in different intestinal segments were used as indicators to evaluate the effects of different processing methods on the cathartic effect and intestinal inflammatory toxicity of Euphorbiae Ebracteolatae Radix. LC-MS/MS was employed to analyze the small-molecule components in the raw product, the 95% ethanol extract of the milk-processed product, and the milky waste(precipitate) formed during milk processing, to assess the impact of milk processing on the chemical composition of Euphorbiae Ebracteolatae Radix. The results showed that compared with the blank group, both the raw and water-processed Euphorbiae Ebracteolatae Radix significantly increased the fecal morphology score, fecal water content, and the release levels of TNF-α and IL-1β in various intestinal segments(P<0.05). Compared with the raw group, all indicators in the milk-processed group significantly decreased(P<0.05), while no significant differences were observed in the water-processed group, indicating that milk, as an adjuvant in processing, plays a key role in reducing the intestinal toxicity of Euphorbiae Ebracteolatae Radix. Mass spectrometry results revealed that 29 components were identified in the raw product, including 28 terpenoids and 1 acetophenone. The content of these components decreased to varying extents after milk processing. A total of 28 components derived from Euphorbiae Ebracteolatae Radix were identified in the milky precipitate, of which 27 were terpenoids, suggesting that milk processing promotes the transfer of toxic components from Euphorbiae Ebracteolatae Radix into milk. To further investigate the effect of milk adjuvant processing on the toxic terpenoid components of Euphorbiae Ebracteolatae Radix, transmission electron microscopy(TEM) was used to observe the morphology of self-assembled casein micelles(the main protein in milk) in the milky precipitate. The micelles formed in casein-terpenoid solutions were characterized using particle size analysis, fluorescence spectroscopy, ultraviolet spectroscopy, and Fourier-transform infrared(FTIR) spectroscopy. TEM observations confirmed the presence of casein micelles in the milky precipitate. Characterization results showed that with increasing concentrations of toxic terpenoids, the average particle size of casein micelles increased, fluorescence intensity of the solution decreased, the maximum absorption wavelength in the UV spectrum shifted, and significant changes occurred in the infrared spectrum, indicating that interactions occurred between casein micelles and toxic terpenoid components. These findings indicate that the cathartic effect of Euphorbiae Ebracteolatae Radix becomes milder and its intestinal inflammatory toxicity is reduced after milk processing. The detoxification mechanism is that terpenoid components in Euphorbiae Ebracteolatae Radix reassemble with casein in milk to form micelles, promoting the transfer of some terpenoids into the milky precipitate.
Animals ; Mice ; Milk/chemistry* ; Drugs, Chinese Herbal/chemistry* ; Male ; Tumor Necrosis Factor-alpha/immunology* ; Intestines/drug effects* ; Interleukin-1beta/immunology* ; Tandem Mass Spectrometry ; Female

OBJECTIVE: To evaluate the efficacy and safety of PD-1 inhibitor combined with azacitidine and HAG regimen in the treatment of relapsed/refractory acute myeloid leukemia (R/R AML). METHODS: This study is a prospective, single-arm, phase II clinical trial that included R/R AML patients who met the inclusion criteria and were treated at The First Affiliated Hospital of Soochow University from December 2020 to August 2023. Patients could undergo allogeneic hematopoietic stem cell transplantation (allo-HSCT) after salvage therapy. The efficacy and safety were evaluated. RESULTS: Twenty patients were enrolled, including 14 males and 6 females, with an average age of (50.7±15.3) years. The overall response rate (ORR) after one cycle of the treatment was 75.0% (15/20), and 35.0% (7/20) of the patients achieved complete remission (CR) or complete remission with incomplete hematologic recovery (CRi) after two cycles of the treatment. Eight patients received allo-HSCT. The main adverse events were hematologic toxicities, and no grade 5 adverse events occurred. CONCLUSION The combination of PD-1 inhibitor, azacitidine, and the HAG regimen is a feasible and relatively safe treatment option for R/R AML, thus, to be worth further study.
Humans ; Leukemia, Myeloid, Acute/drug therapy* ; Azacitidine/administration & dosage* ; Male ; Female ; Middle Aged ; Prospective Studies ; Adult ; Hematopoietic Stem Cell Transplantation ; Antineoplastic Combined Chemotherapy Protocols/therapeutic use* ; Programmed Cell Death 1 Receptor/antagonists & inhibitors* ; Aged

OBJECTIVE: To investigate the predictive value of the prognostic nutritional index (PNI) and systemic inflammatory response index (SIRI) for short-term efficacy and prognosis in newly treated patients with peripheral T-cell lymphoma (PTCL). METHODS: The general data, laboratory indicators, disease stage and other clinical data of 91 newly treated PTCL patients admitted to the Affiliated Hospital of Xuzhou Medical University from January 2015 to December 2023 were retrospectively analyzed. The optimal cutoff values for PNI and SIRI were determined using receiver operating characteristic (ROC) curves, and the patients were stratified into groups based on these cutoffs to compare clinical features and short-term efficacy between the different groups. Kaplan-Meier method was used to plot survival curves, and univariate and multivariate analyses were performed to identify the factors affecting overall survival (OS). RESULTS: The optimal cutoff values for PNI and SIRI were 45.30 and 1.74×10⁹/L, respectively. Patients in different PNI groups showed statistically significant differences in age, Ann Arbor stage, lactate dehydrogenase (LDH) level, international prognostic index (IPI), prognostic index for PTCL-not otherwise specified (PIT), pathological subtypes, and complete response (CR) rate (P < 0.05). PTCL patients in different SIRI groups exhibited significant differences in Ann Arbor stage, LDH level, IPI score, PIT score, and CR rate (P < 0.05). Logistic regression analysis showed that age ≥60 years old (OR =2.750), Ann Arbor stage Ⅲ-Ⅳ (OR =5.200), IPI score ≥2 (OR =7.650), low PNI (OR =3.296), and high SIRI (OR =3.130) were independent risk factors affecting treatment efficacy in PTCL patients (P < 0.05). Cox proportional hazards regression model analysis showed that low PNI and elevated β₂-microglobulin (β₂-MG) levels were independent risk factors affecting OS (P < 0.05). CONCLUSION PNI and SIRI have certain application value in evaluating short-term efficacy and prognosis in patients with PTCL. Compared with SIRI, PNI demonstrates greater predictive value for patient prognosis.
Humans ; Prognosis ; Lymphoma, T-Cell, Peripheral/therapy* ; Retrospective Studies ; Nutrition Assessment ; Male ; Female ; Middle Aged ; ROC Curve ; Inflammation

Lung cancer is the cancer with the highest incidence and mortality rate worldwide. In addition to the diversified treatment and prolonged lifespan in view of the development of medical technology, the side effect of medicine should not be ignored. Drug-induced interstitial lung disease (DI-ILD) is also commonly encountered during this process, and ILD triggered by the treatment of lung cancer characterized by the inflammation and scarring of lung tissue after the antitumor treatment in lung cancer leads to a poor prognosis and high mortality. The diagnosis and treatment of ILD caused by anti-lung cancer agents remains challenging in clinical settings and requires joint efforts from multidisciplinary team (MDT). This review systematically updates the epidemiology, molecular pathogenesis, genomics/genetics study, diagnosis and treatment of ILD related to anti-lung cancer agents. By the integration of the latest evidences, the paper offers clinical work references for early diagnosis of ILD related to anti-lung cancer agents to enhance the survival and quality of life of the lung cancer patients.
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Humans ; Lung Diseases, Interstitial/therapy* ; Lung Neoplasms/drug therapy* ; Antineoplastic Agents/therapeutic use*

Neuropathic pain, often featuring allodynia, imposes significant physical and psychological burdens on patients, with limited treatments due to unclear central mechanisms. Addressing this challenge remains a crucial unsolved issue in pain medicine. Our previous study, using protein kinase C gamma (PKCγ)-tdTomato mice, highlights the spinal feedforward inhibitory circuit involving PKCγ neurons in gating neuropathic allodynia. However, the regulatory mechanisms governing this circuit necessitate further elucidation. We used diverse transgenic mice and advanced techniques to uncover the regulatory role of the descending serotonin (5-HT) facilitation system on spinal PKCγ neurons. Our findings revealed that 5-HT neurons from the rostral ventromedial medulla hyperpolarize spinal inhibitory interneurons via 5-HT_2C receptors, disinhibiting the feedforward inhibitory circuit involving PKCγ neurons and exacerbating allodynia. Inhibiting spinal 5-HT_2C receptors restored the feedforward inhibitory circuit, effectively preventing neuropathic allodynia. These insights offer promising therapeutic targets for neuropathic allodynia management, emphasizing the potential of spinal 5-HT_2C receptors as a novel avenue for intervention.
Animals ; Neuralgia/physiopathology* ; Protein Kinase C/metabolism* ; Receptor, Serotonin, 5-HT2C/metabolism* ; Hyperalgesia/physiopathology* ; Mice, Transgenic ; Mice ; Spinal Cord/metabolism* ; Serotonin/metabolism* ; Male ; Neurons/metabolism* ; Mice, Inbred C57BL

Identification of disease-specific cell subtypes (DSCSs) has profound implications for understanding disease mechanisms, preoperative diagnosis, and precision therapy. However, achieving unified annotation of DSCSs in heterogeneous single-cell datasets remains a challenge. In this study, we developed the gPRINT algorithm (generalized approach for cell subtype identification with single cell's voicePRINT). Inspired by the principles of speech recognition in noisy environments, gPRINT transforms gene position and gene expression information into voiceprints based on ordered and clustered gene expression phenomena, obtaining unique "gene print" patterns for each cell. Then, we integrated neural networks to mitigate the impact of background noise on cell identity label mapping. We demonstrated the reproducibility of gPRINT across different donors, single-cell sequencing platforms, and disease subtypes, and its utility for automatic cell subtype annotation across datasets. Moreover, gPRINT achieved higher annotation accuracy of 98.37% when externally validated based on the same tissue, surpassing other algorithms. Furthermore, this approach has been applied to fibrosis-associated diseases in multiple tissues throughout the body, as well as to the annotation of fibroblast subtypes in a single tissue, tendon, where fibrosis is prevalent. We successfully achieved automatic prediction of tendinopathy-specific cell subtypes, key targets, and related drugs. In summary, gPRINT provides an automated and unified approach for identifying DSCSs across datasets, facilitating the elucidation of specific cell subtypes under different disease states and providing a powerful tool for exploring therapeutic targets in diseases.
Humans ; Algorithms ; Single-Cell Analysis ; Databases, Genetic ; Molecular Sequence Annotation

Environmental factors play a pivotal role in the pathogenesis and progression of lung cancer, with epigenetic regulation, particularly DNA methylation, serving as a central molecular mechanism. This review systematically elaborated on the mechanisms by which environmental exposures dynamically regulate lung cancer development through influencing DNA methylation and summarized recent advances in the clinical translation of related epigenetic biomarkers for early diagnosis and targeted therapy. Relevant studies published between December 2018 and March 2025 were retrieved from Chinese and English databases, and 64 articles were included in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Environmental exposures can specifically induce abnormal methylation of tumor suppressor genes such as the aryl hydrocarbon receptor repressor (AHRR) and Ras‑associated domain family 1 isoform A (RASSF1A), thereby promoting genomic instability and activation of oncogenes. In terms of clinical translation, methylation detection of genes including short stature homeobox 2 (SHOX2) and RASSF1A in plasma has demonstrated favorable diagnostic performance, with a sensitivity of 87.0% (95%CI: 80.2%, 91.5%) and a specificity of 98.0% (95%CI: 94.9%, 99.4%), indicating its applicability for early screening of lung cancer. However, although current DNA methyltransferase (DNMT) inhibitors can achieve epigenetic reprogramming, their applications still face challenges related to insufficient selectivity among different tumor subtypes. Given that environmental factors drive lung carcinogenesis via epigenetic mechanisms, there is an urgent need to establish a three‑tier prevention and control framework encompassing “environmental monitoring – methylation biomarker screening – targeted intervention.” Future efforts should focus on deepening integrated multi‑omics analyses, developing subtype‑selective DNMT inhibitors, and optimizing multimodal detection strategies for methylation biomarkers to advance precision prevention and treatment of lung cancer.

ObjectiveTo simulate the microstructure and mechanical properties of tendon tissue and promote its regeneration and repair, electrospinning technology was used to prepare L-polylactic acid (PLLA) fiber membranes loaded with different nano zinc oxide contents and with oriented structures. Physical and chemical characterization and biological performance evaluation were carried out to explore their effects on tendon cell proliferation and differentiation. MethodsPreparation of PLLA fiber scaffolds and PLLA/ZnO fiber scaffolds containing different mass fractions of nano ZnO was performed using electrospinning technology. The physicochemical properties of the scaffold were characterized by scanning electron microscopy, mechanical stretching, and EDS spectroscopy. The scaffold was co-cultured with mouse tendon cells to detect its biocompatibility and regulatory effects on cell differentiation behavior. ResultsThe fiber scaffolds were arranged in an oriented manner, and zinc elements were uniformly distributed in the fibers. The tensile strength and Young’s modulus of PLLA/0.1%ZnO fiber scaffolds were significantly higher than PLLA fiber scaffolds. The number of cells on the surface of PLLA/0.1%ZnO fiber scaffold was significantly higher than that of the PLLA group, and the activity was better; mouse tendon cells exhibit directional adhesion and growth along the fiber arrangement direction. ConclusionThe oriented PLLA/0.1%ZnO fiber scaffold had excellent physicochemical properties, which can significantly promote the oriented growth, proliferation and differentiation of tendon cells. It is expected to be used for tendon tissue regeneration and repair in the future.

Objective To investigate the efficacy of flupentixol combined with ondansetron in preventing postoperative nausea and vomiting(PONV)in patients receiving sufentanil and dezocine patient-controlled intravenous analgesia(PCIA).Methods Surgical patients receiving sufentanil and dezocine PCIA were randomly divided into treatment and control groups using a random number table.The control group received sufentanil 150 μg,dezocine 20 mg,and ondansetron 8 mg for PCIA,while the treatment group received sufentanil 150 μg,dezocine 20 mg,flupentixol 5 mg,and ondansetron 8 mg for PCIA.The incidence of PONV,severity of PONV,heart rate(HR),mean arterial pressure(MAP),blood oxygen saturation(SPO2)levels at different time points after surgery,surgery-related indicators,visual analogue scale(VAS)scores,Ramsay scores,PCIA pressing times,and incidence of adverse drug reactions were compared between the two groups.Results The incidence of PONV in the treatment group and the control group at 2,12,24,36 and 48 hours after surgery were 1.64％,4.84％,6.56％,3.28％,0 and 14.75％,18.03％,19.67％,16.39％,9.84％,respectively.The HR at 24 hours after surgery in the treatment group and the control group were(91.42±8.75)and(98.13±9.62)beat·min-1,respectively;the MAP were(91.98±4.56)and(99.05±4.17)mmHg;SPO2 were(98.13±1.65)％and(98.95±1.82)％;VAS scores were 2.68±0.49 and 2.97±0.63;Ramsay scores were 2.27±0.65 and 2.05±0.32;PCIA pressing times were(2.14±0.37)and(4.36±0.78)times,respectively.The differences in the above indicators between the treatment group and the control group were statistically significant(all P＜0.05).The incidence of total adverse drug reactions after surgery in the treatment group and the control group were 13.12％and 8.20％,respectively,with no statistically significant difference(P＞0.05).Conclusion Flupentixol combined with ondansetron can reduce the risk of PONV caused by sufentanil combined with dezocine PCIA after surgery,ensuring good analgesic effects and safety.