ObjectiveTo evaluate the effect of Ningying Formula （宁瘿方） combined with low-dose antithyroid drugs （ATDs） on the relapse risk for patients with Graves' hyperthyroidism （GH） during the remission phase， and to analyze the related factors between GH relapse and thyrotropin receptor antibody （TRAb） negativity， so as to provide evidence for the standardized management of GH in remission stage. MethodsA single-center retrospective cohort study was conducted， including 269 GH patients in the remission stage. After propensity score matching （PSM）， 102 matched pairs （204 patients） were established. The control group received low-dose ATDs as maintenance therapy， while the exposure group received the core Ningying Formula in addition to low-dose ATDs. The primary outcome was the GH recurrence rate； the secondary outcome was the thyrotropin receptor antibody （TRAb） negativity rate （TRAb＜1.75 IU/L）. Safety outcomes included treatment-related adverse events. Differences between groups were assessed using Cox regression models and Kaplan-Meier curves， with sensitivity analysis performed using inverse probability of treatment weighting （IPTW）. ResultsThe median follow-up in the matched cohort was 28.07 months. Regarding the GH recurrence outcome， the recurrence rate in the exposure group （18/102， 17.6%） was significantly lower than that in the control group （31/102， 30.4%； χ²=4.539， P=0.033）； regarding the TRAb negativity outcome， the TRAb negativity rate in the exposure group （50/102， 49.0%） was significantly higher than that in the control group （23/102， 22.5%； χ²=15.551， P＜0.001）. Multivariate Cox regression analysis for recurrence showed that Ningying Formula treatment reduced the risk of recurrence ［HR=0.324， 95%CI（0.170， 0.617）， P＜0.001］. Male ［HR=2.209， 95%CI（1.079， 4.520）， P=0.030］， higher initial TRAb level ［per 1 IU/L increase： HR=1.033， 95%CI（1.003， 1.064）， P=0.032］， and larger thyroid volume ［per 1 ml increase： HR=1.045， 95%CI（1.003， 1.088）， P=0.035］ were identified as independent risk factors for recurrence； multivariate Cox regression analysis for TRAb negativity indicated that Ningying Formula treatment promoted TRAb negativity ［HR=1.826， 95%CI（1.091， 3.056）， P=0.022］， while a higher initial TRAb level was associated with a lower probability of negativity ［HR=0.974， 95%CI（0.950， 0.998）， P=0.032］. Survival analysis showed significant differences in relapse rate between groups （Log-Rank P=0.003） and in TRAb outcomes （Log-Rank P=0.034）. The incidence of treatment-related adverse events was similar between groups （P=0.757）. The IPTW sensitivity analysis was consistent with the primary analysis， indicating robust results. ConclusionThe Ningying Formula combined with low-dose ATDs can significantly reduce the risk of recurrence and can improve the TRAb negativity rate in GH patients during the remission stage， without increasing common adverse events， making it an optional strategy for reducing relapse risk during remission. Male gender， higher baseline TRAb level， and larger thyroid volume indicate a higher risk of recurrence， warranting focused follow-up and stratified management.

OBJECTIVE To investigate the improvement effects and mechanism of astragaloside Ⅳ （AS- Ⅳ ） on lipopolysaccharide （LPS）-induced neuroinflammation. METHODS BV2 cells were divided into control group， LPS group， AS-Ⅳ groups at concentrations of 20 and 40 μmol/L， and dexamethasone group （2 μmol/L）. Except for control group， neuroinflammation model was established with LPS （1 μg/mL） in other groups after medication. The levels of inflammatory factors [interleukin-6 （IL-6）， tumor necrosis factor-α （TNF-α）， and nitric oxide （NO）] in cell supernatant were measured in each group. Mice were randomly divided into normal group， model group， positive control group （Aspirin enteric-coated tablet， 20 mg/kg）， AS-Ⅳ low- and high-dose groups （10， 20 mg/kg）， with 6 mice in each group. Mice in each group were administered the corresponding drug/normal saline via gavage/intraperitoneal injection， once a day， for 14 consecutive days. Except for normal group， other groups were intraperitoneally injected with LPS （250 μg/kg） 1 hour after daily administration of the drug/normal saline to establish neuroinflammation model. Serum levels of IL-6 and TNF-α were measured 2 h after the last medication； histopathological morphology of cerebral tissue in mice were observed； the co-localization of inducible nitric oxide synthase （iNOS）/ionized calcium binding adapter molecule 1 （Iba1） and CD206/Iba1 in the cerebral cortex region of mice was observed； the expressions of proteins related to the nuclear factor-κB （NF-κB）/mitogen-activated protein kinase （MAPK） signaling pathway in brain tissue of mice were also determined， including NF-κB p65， phosphorylated NF-κB p65（p-NF-κB p65）， p38 MAPK， phosphorylated p38 MAPK （p-p38 MAPK）， extracellular signal-regulated kinase （ERK）， and phosphorylated ERK （p-ERK）. RESULTS In the cell experiments， compared with control group， the levels of IL-6， TNF- α and NO in the cell supernatant of the LPS group were increased significantly （P＜0.05）； compared with LPS group， the levels of IL-6， TNF-α and NO were decreased significantly in the administration groups （P＜0.05）. In the animal experiments， compared with the normal group， the serum levels of IL-6 and TNF- α， the number of iNOS/Iba1 co-localization positive cells in the cerebral cortex， and the phosphorylation levels of p38 MAPK， NF- κB p65 and ERK proteins in brain tissue were all significantly increased/elevated in model group （P＜0.05）； the number of CD206/ Iba1 co-localization positive cells in the cerebral cortex region significantly decreased （P＜0.05）. The neurons in the cerebral cortex and the CA3 region of the hippocampus displayed a disordered arrangement. Compared with model group， above quantitative indexes of mice were all reversed significantly in administration groups （P＜0.05）； the neuronal cells in the cerebral cortex and the CA3 region of the hippocampus exhibited a relatively orderly arrangement. CONCLUSIONS AS-Ⅳ may inhibit the activation of the NF-κB/MAPK signaling pathway， promote the M2-type polarization of microglia， and thereby suppress neuroinflammatory responses.

Autophagy, a highly conserved cellular degradation mechanism, maintains intracellular homeostasis by removing damaged organelles and abnormal proteins. Its dysregulation is closely associated with various diseases. Autophagy-related protein 12 (ATG12), a core member of the ubiquitin-like protein family, covalently binds to ATG5 through a ubiquitin-like conjugation system to form the ATG12-ATG5-ATG16L1 complex. This complex directly regulates the formation and maturation of autophagosomes, making ATG12 a key molecule in the initiation of autophagy. Recent studies have revealed that ATG12 functions extend far beyond the classical autophagy context. It promotes apoptosis by binding to anti-apoptotic proteins of the Bcl-2 family (e.g., Bcl-2 and Mcl-1) and enhances host antiviral immunity by regulating the NF-κB and interferon signaling pathways. Moreover, ATG12 deficiency can lead to mitochondrial biogenesis impairment, energy metabolism disorders, and substrate-dependent metabolic shifts, underscoring its pivotal role in cellular metabolic homeostasis. At the disease level, dysregulation of ATG12 expression is closely linked to tumorigenesis and cancer progression. By modulating the dynamic balance between autophagy and apoptosis, ATG12 influences cancer cell proliferation, metastasis, and chemoresistance. Notably, ATG12 is abnormally overexpressed in multiple cancers, including breast, liver, and gastric cancer, highlighting its potential as a therapeutic target. Furthermore, in neurodegenerative diseases such as Parkinson’s disease, ATG12 mitigates protein toxicity by enhancing mitochondrial autophagy. In cardiovascular diseases, it alleviates ischemia-reperfusion injury by regulating cardiomyocyte autophagy and apoptosis, demonstrating its broad regulatory role across various pathological conditions. Genetic studies further underscore the clinical significance of ATG12. Polymorphisms in the ATG12 gene (e.g., rs26537 and rs26538) have been significantly associated with the risk of head and neck squamous cell carcinoma, hepatocellular carcinoma, and atrophic gastritis. Notably, the risk allele of rs26537 enhances ATG12 promoter activity, leading to its overexpression and promoting tumorigenesis. These findings provide a molecular basis for individualized risk assessment and targeted interventions based on ATG12 genotype. Despite significant progress, many aspects of ATG12 biology remain unclear. The precise regulatory mechanisms of its post-translational modifications (e.g., ubiquitination and acetylation) are yet to be fully elucidated. Additionally, the molecular pathways underlying its non-canonical functions, such as metabolic regulation and immune modulation, require further investigation. Moreover, the functional heterogeneity of ATG12 in different tumor microenvironments and its role in drug resistance warrant in-depth exploration. Future research should integrate advanced technologies such as cryo-electron microscopy, single-cell sequencing, and organoid models to decipher the intricate regulatory network of ATG12. Additionally, developing small-molecule inhibitors or gene-editing tools targeting its protein interaction interfaces (e.g., the ATG12-ATG3 binding domain) may help overcome current therapeutic challenges. Through interdisciplinary collaboration and clinical translation, ATG12 holds promise as a next-generation molecular target for precision intervention in autophagy-related diseases. This review summarizes the structure and function of ATG12, its role in autophagy initiation, its physiological functions, and its involvement in disease pathogenesis. Furthermore, it discusses future research directions and potential challenges, emphasizing ATG12’s potential as a biomarker and therapeutic target in autophagy-related diseases.

Parkinson’s disease (PD) is a common neurodegenerative disorder that significantly impacts patients’ independence and quality of life, imposing a substantial burden on both individuals and society. Although dopaminergic replacement therapies provide temporary relief from various symptoms, their long-term use often leads to motor complications, limiting overall effectiveness. In recent years, non-invasive deep brain stimulation (DBS) techniques have emerged as promising therapeutic alternatives for PD, offering a means to modulate deep brain regions with high precision without invasive procedures. These techniques include temporal interference stimulation (TIs), low-intensity transcranial focused ultrasound stimulation (LITFUS), transcranial magneto-acoustic stimulation (TMAS), non-invasive optogenetic modulation, and non-invasive magnetoelectric stimulation. They have demonstrated significant potential in alleviating various PD symptoms by modulating neural activity within specific deep brain structures affected by the disease. Among these approaches, TIs and LITFUS have received considerable attention. TIs generate low-frequency interference by applying two slightly different high-frequency electric fields, targeting specific brain areas to alleviate symptoms such as tremors and bradykinesia. LITFUS, on the other hand, uses low-intensity focused ultrasound to non-invasively stimulate deep brain structures, showing promise in improving both motor function and cognition in PD patients. The other three techniques, while still in early research stages, also hold significant promise for deep brain modulation and broader clinical applications, potentially complementing existing treatment strategies. Despite these promising findings, significant challenges remain in translating these techniques into clinical practice. The heterogeneous nature of PD, characterized by variable disease progression and individualized treatment responses, necessitates flexible protocols tailored to each patient’s unique needs. Additionally, a comprehensive understanding of the mechanisms underlying these treatments is crucial for refining protocols and maximizing their therapeutic potential. Personalized medicine approaches, such as the integration of neuroimaging and biomarkers, will be pivotal in customizing stimulation parameters to optimize efficacy. Furthermore, while early-stage clinical trials have reported improvements in certain symptoms, long-term efficacy and safety data are limited. To validate these techniques, large-scale, multi-center, randomized controlled trials are essential. Parallel advancements in device design, including the development of portable and cost-effective systems, will improve patient access and adherence to treatment protocols. Combining non-invasive DBS with other interventions, such as pharmacological treatments and physical therapy, could also provide a more comprehensive and synergistic approach to managing PD. In conclusion, non-invasive deep brain stimulation techniques represent a promising frontier in the treatment of Parkinson’s disease. While they have demonstrated considerable potential in improving symptoms and restoring neural function, further research is needed to refine protocols, validate long-term outcomes, and optimize clinical applications. With ongoing technological and scientific advancements, these methods could offer PD patients safer, more effective, and personalized treatment options, ultimately improving their quality of life and reducing the societal burden of the disease.

ObjectiveThe rapid advancement of bioanalytical technologies has heightened the demand for high-throughput, label-free, and real-time cellular analysis. Electrochemical impedance spectroscopy (EIS) operating in the GHz frequency range (GHz-EIS) has emerged as a promising tool for characterizing cell suspensions due to its ability to rapidly and non-invasively capture the dielectric properties of cells and their microenvironment. Although GHz-EIS enables rapid and label-free detection of cell suspensions, significant challenges remain in interpreting GHz impedance data for complex samples, limiting the broader application of this technique in cellular research. To address these challenges, this study presents a novel method that integrates GHz-EIS with deep learning algorithms, aiming to improve the precision of cell suspension concentration identification and quantification. This method provides a more efficient and accurate solution for the analysis of GHz impedance data. MethodsThe proposed method comprises two key components: dielectric property dataset construction and backpropagation (BP) neural network modeling. Yeast cell suspensions at varying concentrations were prepared and separately introduced into a coaxial sensor for impedance measurement. The dielectric properties of these suspensions were extracted using a GHz-EIS dielectric property extraction method applied to the measured impedance data. A dielectric properties dataset incorporating concentration labels was subsequently established and divided into training and testing subsets. A BP neural network model employing specific activation functions (ReLU and Leaky ReLU) was then designed. The model was trained and tested using the constructed dataset, and optimal model parameters were obtained through this process. This BP neural network enables automated extraction and analytical processing of dielectric properties, facilitating precise recognition of cell suspension concentrations through data-driven training. ResultsThrough comparative analysis with conventional centrifugal methods, the recognized concentration values of cell suspensions showed high consistency, with relative errors consistently below 5%. Notably, high-concentration samples exhibited even smaller deviations, further validating the precision and reliability of the proposed methodology. To benchmark the recognition performance against different algorithms, two typical approaches—support vector machines (SVM) and K-nearest neighbor (KNN)—were selected for comparison. The proposed method demonstrated superior performance in quantifying cell concentrations. Specifically, the BP neural network achieved a mean absolute percentage error (MAPE) of 2.06% and an R² value of 0.997 across the entire concentration range, demonstrating both high predictive accuracy and excellent model fit. ConclusionThis study demonstrates that the proposed method enables accurate and rapid determination of unknown sample concentrations. By combining GHz-EIS with BP neural network algorithms, efficient identification of cell concentrations is achieved, laying the foundation for the development of a convenient online cell analysis platform and showing significant application prospects. Compared to typical recognition approaches, the proposed method exhibits superior capabilities in recognizing cell suspension concentrations. Furthermore, this methodology not only accelerates research in cell biology and precision medicine but also paves the way for future EIS biosensors capable of intelligent, adaptive analysis in dynamic biological research.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

Colorectal cancer （CRC） is a common malignant tumor of the digestive tract with high morbidity and mortality. Although existing treatments can prolong the survival of patients， problems such as low quality of life， obvious side effects， and unsatisfactory clinical efficacy still exist， which cannot fully satisfy the overall needs of patients. For this reason， it is crucial to explore the mechanism underlying the development of CRC and to identify new treatment strategies. In recent years， with the deepening of research， ferroptosis has been gradually proven to effectively inhibit the proliferation and metastasis of CRC cells， overcome tumor drug resistance， enhance anti-tumor efficacy， and prevent tumor progression and recurrence. Therefore， regulating ferroptosis is expected to become a new strategy for the treatment of CRC. Traditional Chinese medicine （TCM） has been widely used in CRC treatment due to its advantages of multiple components， multiple targets， low drug resistance， and few side effects， and has gradually become a current research hotspot. Extensive studies have shown that TCM active ingredients and compound formulae can regulate ferroptosis-related pathways， such as iron metabolism， lipid metabolism， the cystine/glutamate antiporter system X_c^- （System X_c^-）/glutathione （GSH）/glutathione peroxidase 4 （GPX4）， ferroptosis suppressor protein 1 （FSP1）/coenzyme Q₁₀ （CoQ₁₀）/nicotinamide adenine dinucleotide phosphate ［NAD（P）H］， tumor protein 53 （p53）， nuclear factor erythroid-2-related factor 2 （Nrf2）， and non-coding RNA pathways to inhibit the growth and proliferation of CRC， thereby exerting anti-tumor effects. This review systematically summarized the mechanisms of ferroptosis related to CRC， therapeutic targets and prognosis-related markers associated with ferroptosis in CRC， and research progress on TCM targeting and regulating ferroptosis for CRC intervention， aiming to provide new perspectives and a theoretical basis for the prevention and treatment of CRC with TCM.

Objective To explore the polymorphism of tyrosinase (TYR) and melanocortin 1 receptor (MC1R) genes and their mRNA expression levels in relation to coat-color phenotypes in guinea pigs, providing genetic markers for locating dominant traits in guinea pigs. Methods A total of 57 self-bred ordinary-level guinea pigs were selected and divided into three groups based on coat color: white (n=22), variegated (n=22) and black (n=13). The guinea pigs were euthanized with an overdose of pentobarbital sodium via intraperitoneal injection. DNA was then extracted from the dorsal skin tissue. Polymorphism in the coding sequence (CDS) of the exons of the TYR and MC1R genes in each group was detected by cloning and sequencing. The mRNA expression of the two genes in skin tissues was detected by real-time fluorescent quantitative PCR to investigate the relationship between these genes and guinea pig coat color. Results A single nucleotide polymorphism (SNP) site was found in the CDS region of TYR exon Ⅰ, where the base A was replaced by G. All white guinea pigs had the G/G genotype for TYR, while no deep-colored (variegated and black) guinea pigs exhibited the G/G genotype for TYR. Most deep-colored guinea pigs had the A/A genotype, and a few had A/G genotype. The A/A genotype frequency in black guinea pigs was higher than in variegated guinea pigs. A 2 760 bp sequence deletion was identified in the exon of the MC1R gene, marked as the - gene, with non-deleted samples marked as N gene. Most white guinea pigs had the -/- genotype for MC1R, variegated guinea pigs mainly had the -/N genotype, and black guinea pigs mainly had the N/N genotype, with a few showing the -/N. The TYR gene expression level was higher in white guinea pigs, lower in variegated guinea pigs, and intermediate in black guinea pigs, but there was no significant difference among the three groups (P>0.05). The MC1R gene expression level in white guinea pigs was extremely low, while both variegated and black guinea pigs showed significantly higher levels than white guinea pigs (P<0.01). Black guinea pigs showed significantly higher levels than variegated guinea pigs (P<0.05). ConclusionThe TYR and MC1R genes synergistically regulate coat color of guinea pigs. The G-site mutation in the TYR gene may lead to albinism, and the change of N-site in the MC1R gene affects the depth of the coat color.

ObjectiveBased on ultra-high performance liquid chromatography-quadrupole-electrostatic field orbital trap-linear ion-trap mass spectrometry（UPLC-Orbitrap Fusion Lumos Tribrid-MS）， the plasma concentration of ziyuglycoside Ⅰ was determined at different time points after oral administration， and its pharmacokinetic characteristics in normal rats and rats with acute kidney injury were compared. MethodsRats were randomly divided into normal group and model group， the model group received intraperitoneal cisplatin（10 mg·kg^-1） to establish the acute kidney injury model， the normal group was given the same volume of saline. After successful modeling， rats in the normal and model groups were randomly divided into the normal low， medium and high dose groups（2.5， 5， 7.5 mg·kg^-1） and the model low， medium and high dose groups（2.5， 5， 7.5 mg·kg^-1）， 6 rats in each group， and the plasma was collected at different time points after receiving the corresponding dose of ziyuglycoside Ⅰ. Then， the concentration of ziyuglycoside Ⅰ in rat plasma was determined by UPLC-Orbitrap Fusion Lumos Tribrid-MS， and the drug-time curve was poltted. The pharmacokinetic parameters were calculated by Kinetica 5.1 software， and the differences in pharmacokinetic parameters between different administration groups were compared by independent sample t-test with SPSS 22.0. ResultsThe pharmacokinetic results showed that after receiving the different doses of ziyuglycoside Ⅰ， its concentration increased first and then decreased， and all of them reached the maximum plasma concentration at about 0.5 h. The area under the curve（AUC_0-t） and mean retention time（MRT_0-t） of normal and model rats increased with the increased dose， and the clearance（CL） decreased with the increasing dose. Compared with the normal group， the AUC_0-t was significantly increased（P<0.01）， peak concentration（C_max） and CL decreased in model rats at different doses， indicating that the physiological state of the rats could affect the absorption and elimination of ziyuglycoside Ⅰ in vivo. ConclusionThe pharmacokinetic characteristics of ziyuglycoside Ⅰ are quite different in normal rats and acute kidney injury model rats， which may be due to the change of the body environment in the pathological state， then lead to changes in absorption and metabolic processes.

[Objective] To investigate the infection status and characteristics of HEV among voluntary blood donors in Ningbo, and to provide a basis for improving the blood screening strategy. [Methods] A total of 12 227 blood samples from voluntary blood donors in Ningbo from June 2022 to May 2023 were tested for HEV serology, enzymology, and nucleic acid testing. Furthermore, HEV gene sequencing was performed for genotyping analysis, and donors with reactive nucleic acid testing results were followed up to confirm their infection status. [Results] The reactivity rate of HEV Ag, anti-HEV IgM and anti-HEV IgG was 0.098%, 0.899% and 29.198%, respectively. There was no difference in the reactivity of anti-HEV IgM and anti-HEV IgG between genders, donation frequencies and donation types (P>0.05). The reactivity rate increased significantly with age (P<0.05). The rate of ALT disqualification (ALT>50U/L) was significantly higher than that in non-reactive samples (P<0.05). The HEV Ag reactivity rate (0.098%) was not correlated with gender, donation frequency, donation type or age. One HEV RNA positive case was found, with a positive rate of 0.008%(1/12 227). It was confirmed to be hepatitis E virus genotype 3 by sequencing analysis. Apart from HEV Ag reactivity, all other blood safety screening items were non-reactive, suggesting this case might be in the acute infection phase. The follow-up results showed that all indicators of the donor's previous blood donation were non-reactive. [Conclusion] Pre-donation ALT detection can reduce the risk of transfusion-transmitted HEV (TT-HEV) to a certain extent, and the effective way to prevent TT-HEV is to detect HEV RNA and serology of donor blood.