Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive decline and memory impairment in clinical. Currently, there are no effective treatments for AD. In recent years, a variety of therapeutic approaches from different perspectives have been explored to treat AD. Although the drug therapies targeted at the clearance of amyloid β-protein (Aβ) had made a breakthrough in clinical trials, there were associated with adverse events. Neuroinflammation plays a crucial role in the onset and progression of AD. Continuous neuroinflammatory was considered to be the third major pathological feature of AD, which could promote the formation of extracellular amyloid plaques and intracellular neurofibrillary tangles. At the same time, these toxic substances could accelerate the development of neuroinflammation, form a vicious cycle, and exacerbate disease progression. Reducing neuroinflammation could break the feedback loop pattern between neuroinflammation, Aβ plaque deposition and Tau tangles, which might be an effective therapeutic strategy for treating AD. Traditional Chinese herbs such as Polygonum multiflorum and Curcuma were utilized in the treatment of AD due to their ability to mitigate neuroinflammation. Non-steroidal anti-inflammatory drugs such as ibuprofen and indomethacin had been shown to reduce the level of inflammasomes in the body, and taking these drugs was associated with a low incidence of AD. Biosynthetic nanomaterials loaded with oxytocin were demonstrated to have the capability to anti-inflammatory and penetrate the blood-brain barrier effectively, and they played an anti-inflammatory role via sustained-releasing oxytocin in the brain. Transplantation of mesenchymal stem cells could reduce neuroinflammation and inhibit the activation of microglia. The secretion of mesenchymal stem cells could not only improve neuroinflammation, but also exert a multi-target comprehensive therapeutic effect, making it potentially more suitable for the treatment of AD. Enhancing the level of TREM2 in microglial cells using gene editing technologies, or application of TREM2 antibodies such as Ab-T1, hT2AB could improve microglial cell function and reduce the level of neuroinflammation, which might be a potential treatment for AD. Probiotic therapy, fecal flora transplantation, antibiotic therapy, and dietary intervention could reshape the composition of the gut microbiota and alleviate neuroinflammation through the gut-brain axis. However, the drugs of sodium oligomannose remain controversial. Both exercise intervention and electromagnetic intervention had the potential to attenuate neuroinflammation, thereby delaying AD process. This article focuses on the role of drug therapy, gene therapy, stem cell therapy, gut microbiota therapy, exercise intervention, and brain stimulation in improving neuroinflammation in recent years, aiming to provide a novel insight for the treatment of AD by intervening neuroinflammation in the future.

Objective To evaluate the clinical characteristics of human immunodeficiency virus (HIV) infected patients with peripheral lung masses (PLMs), and to assess the diagnostic utility of contrast-enhanced ultrasound (CEUS) in differentiating benign and malignant PLMs. Methods A retrospective analysis was performed on the clinical data of 69 patients with PLM treated in Shanghai Public Health Clinical Center from January 2020 to December 2023. All patients underwent percutaneous biopsy, and were categorized into benign group (n＝36) and malignant group (n＝33). 25 patients were HIV-positive and 44 patients were HIV-negative. The clinical features and CEUS parameters in patients were compared across these groups. Results Patients with malignant masses were significantly older than those with benign masses (P＜0.05). In the malignant group, HIV-negative patients exhibited significantly larger tumor diameters compared to HIV-positive patients (P＜0.05); in the HIV-positive patients, no significant difference in tumor size was observed between benign and malignant masses. 19 patients underwent CEUS. 10 malignant masses, irrespective of HIV status (10 positive and 9 negative), commonly presented with indistinct margins, delayed enhancement, heterogeneous perfusion, and delayed peak enhancement on CEUS. 9 benign masses showed earlier peak enhancement compared to 10 malignant masses (P＜0.05); no significant differences were observed in the initiation and washout time of enhancement between benign and malignant masses. In HIV-positive patients, 5 benign masses frequently demonstrated discrepancies between CEUS findings and pathological results. Conclusions The clinical and CEUS characteristics were different between benign and malignant PLMs. However, CEUS shows limited accuracy in distinguishing benign and malignant PLMs, underscoring the need for pathological confirmation.

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.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Hepatocellular carcinoma (HCC) is a leading cause of cancer-associated death globally. Liver transplantation (LT) has emerged as a key treatment for patients with HCC, and the Milan criteria have been adopted as the cornerstone of the selection policy. To allow more patients to benefit from LT, a number of expanded criteria have been proposed, many of which use radiologic morphological characteristics with larger and more tumors as surrogates to predict outcomes. Other groups developed indices incorporating biological variables and dynamic markers of response to locoregional treatment. These expanded selection criteria achieved satisfactory results with limited liver supplies. In addition, a number of prognostic models have been developed using clinicopathological characteristics, imaging radiomics features, genetic data, and advanced techniques such as artificial intelligence. These models could improve prognostic estimation, establish surveillance strategies, and bolster long-term outcomes in patients with HCC. In this study, we reviewed the latest findings and achievements regarding the selection criteria and post-transplant prognostic models for LT in patients with HCC.

Alzheimer’s disease (AD) is a central neurodegenerative disease characterized by progressive cognitive dysfunction and behavioral impairment, and there is a lack of effective drugs to treat AD clinically. Existing medications for the treatment of AD, such as Tacrine, Donepezil, Rivastigmine, and Aducanumab, only serve to delay symptoms and but not cure disease. To add insult to injury, these medications are associated with very serious adverse effects. Therefore, it is urgent to explore effective therapeutic drugs for AD. Recently, studies have shown that a variety of enzyme inhibitors, such as cholinesterase inhibitors, monoamine oxidase (MAO)inhibitors, secretase inhibitors, can ameliorate cholinergic system dysfunction, Aβ production and deposition, Tau protein hyperphosphorylation, oxidative stress damage, and the decline of synaptic plasticity, thereby improving AD symptoms and cognitive function. Some plant extracts from natural sources, such as Umbelliferone, Aaptamine, Medha Plus, have the ability to inhibit cholinesterase activity and act to improve learning and cognition. Isochromanone derivatives incorporating the donepezil pharmacophore bind to the catalytic active site (CAS) and peripheral anionic site (PAS) sites of acetylcholinesterase (AChE), which can inhibit AChE activity and ameliorate cholinergic system disorders. A compound called Rosmarinic acid which is found in the Lamiaceae can inhibit monoamine oxidase, increase monoamine levels in the brain, and reduce Aβ deposition. Compounds obtained by hybridization of coumarin derivatives and hydroxypyridinones can inhibit MAO-B activity and attenuate oxidative stress damage. Quinoline derivatives which inhibit the activation of AChE and MAO-B can reduce Aβ burden and promote learning and memory of mice. The compound derived from the combination of propargyl and tacrine retains the inhibitory capacity of tacrine towards cholinesterase, and also inhibits the activity of MAO by binding to the FAD cofactor of monoamine oxidase. A series of hybrids, obtained by an amide linker of chromone in combine with the benzylpiperidine moieties of donepezil, have a favorable safety profile of both cholinesterase and monoamine oxidase inhibitory activity. Single domain antibodies (such as AAV-VHH) targeted the inhibition of BACE1 can reduce Aβ production and deposition as well as the levels of inflammatory cells, which ultimately improve synaptic plasticity. 3-O-trans-p-coumaroyl maslinic acid from the extract of Ligustrum lucidum can specifically inhibit the activity of γ-secretase, thereby rescuing the long-term potentiation and enhancing synaptic plasticity in APP/PS1 mice. Inhibiting γ-secretase activity which leads to the decline of inflammatory factors (such as IFN-γ, IL-8) not only directly improves the pathology of AD, but also reduces Aβ production. Melatonin reduces the transcriptional expression of GSK-3β mRNA, thereby decreasing the levels of GSK-3β and reducing the phosphorylation induced by GSK-3β. Hydrogen sulfide can inhibitGSK-3β activity via sulfhydration of the Cys218 site of GSK-3β, resulting in the suppression of Tau protein hyperphosphorylation, which ameliorate the motor deficits and cognitive impairment in mice with AD. This article reviews enzyme inhibitors and conformational optimization of enzyme inhibitors targeting the regulation of cholinesterase, monoamine oxidase, secretase, and GSK-3β. We are hoping to provide a comprehensive overview of drug development in the enzyme inhibitors, which may be useful in treating AD.

Mitochondrial quality control plays an important role in maintaining homeostasis of mitochondrial network and normal function of mitochondria. ATPase family AAA domain-containing protein 3A (ATAD3A) is one of the mitochondrial membrane proteins involved in the regulation of mitochondrial structure and function, mitochondrial dynamics, mitophagy and other important biological processes. Recent studies show that ATAD3A not only interacts with Mic60/Mitofilin and mitochondrial transcription factor A (TFAM) to maintain mitochondrial cristae morphology and oxidative phosphorylation, but also interacts with dynamin-related protein 1 (Drp1) to positively/negatively regulate mitochondrial fission. In addition, ATAD3A serves as a bridging factor between the translocase of the outer mitochondrial membrane (TOM) complex and translocase of the inner mitochondrial membrane (TIM) complex to facilitate the import of PTEN-induced putative kinase protein 1 (PINK1) into mitochondria and its processing displays a pro-autophagic or anti-autophagic activity. This article reviews the role and mechanism of ATAD3A in regulating mitochondrial quality control. Firstly, as an inner mitochondrial membrane protein, ATAD3A is involved in maintaining the stability of mitochondrial crista structure, and its gene deletion or mutation will cause the loss and breakage of crista. Secondly, ATAD3A is also involved in maintaining mitochondrial respiratory function and mitochondrial nucleoid homeostasis, and its gene deletion or mutation can reduce the activity of mitochondrial respiratory chain complex and enhance the size and movement of nucleoid. Thirdly, ATAD3A participates in the negative regulation of mitochondrial fusion, but its role in mitochondrial fission may dependent on specific cell types, as it can promote and/or inhibit the mitochondrial fission by increasing and/or decreasing phosphorylation or oligomerization of Drp1. Finally, ATAD3A can interact with mitophagy-related proteins (e.g. PINK1, autophagy/beclin-1 regulator 1 (AMBRA1), acylglycerol kinase (AGK)) to enhance/reduce PINK1-Parkin-dependent mitophagy.

Objective To investigate the effect of hedysarum polysacchcaide(HPS)on nuclear transcription factor-κB(NF-κB)/IκB kinase β(IKKβ)signaling pathway in cardiac tissue of db/db mice with diabetic cardiomyopathy(DCM).Methods Altogether 60 7-week-old male db/db mice were randomly divided into model group,control group and experimental-H,-M,-L groups,with 12 mice in each group.In addition,12 db/m mice of the same week age were selected as the normal group.Normal group and model group were given 0.9％NaCl by intragastric administration.Experimental-L,-M,-H groups were given 50,100 and 200 mg·kg-1 HPS suspension by intragastriction,respectively.Control group was given 4 mg·kg-1 rosiglitazone suspension by intragastric administration.Six groups of rats were given the drug once a day for 8 weeks.The contents of tumor necrosis factor-α(TNF-α)and interleukin-6(IL-6)in myocardial tissue were detected by enzyme-linked immunosorbent assay.The mRNA expression levels of NF-κB and IKKβ in myocardial tissue were detected by real-time fluorescence quantitative polymerase chain reaction.The correlation between the expression of NF-κB protein and the content of TNF-α and IL-6 was analyzed.Results The contents of IL-6 in myocardial tissue of normal,model,control and experimental-H groups were(1.24±0.54),(7.72±0.24),(2.90±0.50)and(2.78±0.56)ng·L-1;the contents of TNF-α were(1.96±0.52),(5.25±0.72),(2.84±0.86)and(2.82±0.58)ng·L-1;the mRNA expression levels of NF-κB were I.00±0.00,3.35±0.81,2.05±0.44 and 1.67±0.22;the mRNA expression levels of IKKβ were 1.00±0.00,2.92±0.07,1.51±0.07 and 1.41±0.08,respectively.Compared with the model group,the above indexes of the control and experimental-H groups were statistically significant(P＜0.01,P＜0.05).The expression of NF-κB protein was positively correlated with the content of IL-6 and TNF-α,and the correlation coefficients were 0.866 and 0.740(all P＜0.01).Conclusion HPS can alleviate the damage of myocardial pathology in mice,reduce myocardial collagen deposition and fibrosis,its mechanism may be through regulating the expression of NF-κB/IKKβ signaling pathway to play a role in inhibiting the inflammatory reaction.

Objective To investigate the inhibitory effect of toosendanin on the growth of lung adenocarcinoma cells in vitro and in vivo by regulating the expression of cell division cycle associated protein 5(CDCA5).Methods The expression of CDCA5 in different lung tissues was analyzed in TCGA database.The expression level of CDCA5 in BEAS-2B cells and A549 cells was detected by Western blot.The effect of different concentrations of toosendanin on the viability of A549 cells was determined by cell counting kit-8(CCK-8)assay.The A549 cells were randomly divided into 4 groups:control group(normal cells cultured normally),toosendanin group(normal cells cultured with 40 μmol·L-1 toosendanin),toosendanin+pcDNA group(cells transfected with pcDNA empty vector and cultured with 40 μmol·L-1 toosendanin),and toosendanin+CDCA5 group(cells transfected with CDCA5 overexpression vector and cultured with 40 μmol·L-1 toosendanin).After 48 h of cultivation,the proliferation and apoptosis of each group of cells were detected by CCK-8 and flow cytometry,and the expression of proliferation and apoptosis related proteins in each group of cells was detected by Western blot.The BALB/c nude mice were randomly divided into sh-NC and sh-CDCA5 stable transfected cell lines with nude mouse xenograft models.Daily intraperitoneal injection of 0.9％NaCl and 40μmol·L-1 toosendanin solution was given to observe and record the changes in tumor tissue volume and body mass.Results The results of CCK-8 showed that after 48 hours,the survival rates of A549 cells treated with 10,20,30,40,50,60 and 70 μmol·L-1 toosendanin were(80.74±8.71)％,(72.96±6.53)％,(61.01±4.86)％,(51.20±3.13)％,(42.10±5.94)％,(38.93±3.18)％and(33.48±2.94)％,respectively.Toosendanin significantly inhibited the proliferation of A549 cells.The proliferation rates of cells in the control group,toosendanin group,toosendanin+pcDNA group,and toosendanin+CDCA5 group were(100.00±4.19)％,(49.18±6.70)％,(55.75±5.74)％,and(77.66±7.48)％,respectively;the expression levels of CDCA5 protein were 1.08±0.11,0.44±0.04,0.43±0.05 and 0.99±0.10,respectively.The expression levels of CDCA5 protein in tumor tissues of nude mice in the sh-NC group,sh-CDCA5 group,toosendanin+sh-NC group,and toosendanin+sh-CDCA5 group were 1.04±0.14,0.42±0.04,0.56±0.08 and 0.32±0.04,respectively.Compared with the sh-NC group,the tumor blocks formed by nude mice in other groups were significantly smaller,and the tumor volume and weight were significantly lower(all P＜0.05).Compared with the toosendanin+sh-NC group,the toosendanin+sh-CDCA5 group had more significant inhibitory effect on tumor formation,and the difference was statistically significant(P＜0.05).Conclusion Toosendanin can inhibit the growth of lung adenocarcinoma cells in vitro and in vivo,which is mainly related to the inhibition of CDCA5 expression.