Metabolic associated fatty liver disease （MAFLD） is the main type of chronic liver disease in the world， with an increasingly higher incidence rate and a younger age of onset. At present， the treatment of MAFLD mainly depends on lifestyle intervention and comorbidity management， and there is still a lack of effective drugs for MAFLD itself. As a classic nonsteroidal anti-inflammatory drug of the salicylic acid family， aspirin can intervene in the pathological process of MAFLD by regulating lipid metabolism， relieving insulin resistance， reducing liver inflammation and oxidative stress response， exerting an anti-liver fibrosis effect， and inhibiting hepatocellular carcinoma， and therefore， it has the value of preventing disease onset， delaying disease progression， and reversing disease condition. This article systematically reviews the mechanism of action and safety of aspirin in the treatment of MAFLD， in order to provide more drug treatment options for MAFLD patients.

Hepatocellular carcinoma （HCC） is a malignant tumor with high incidence and mortality rates in China， and advanced HCC is a difficult issue in current treatment. Immune checkpoint inhibitor （ICI）， as an emerging treatment regimen， has shown a certain effect in clinical practice， but there are still problems such as low overall response rate and a high incidence rate of immune-related adverse events （irAEs）. Traditional Chinese medicine exhibits unique advantages in the treatment of advanced HCC. Through a retrospective analysis of related studies in recent years， this article shows that traditional Chinese medicine combined with ICI can control disease progression， prolong survival time， and reduce irAEs in the treatment of advanced HCC through the synergistic effect between multiple components， targets， and pathways. The potential mechanism of this treatment modality may involve various aspects such as the direct inhibition of tumor cells and the regulation of immune system and intestinal flora.

Forensic microbiology,a pivotal discipline within forensic science,focuses on microorganisms as the primary subject of study and applies life science technologies to analyze microbial evidence in criminal and civil investigations.Tissue source inference plays a crucial role in forensic investigations,facilitating case assessment and crime scene reconstruction.The application of microbiome analysis in tissue source inference benefits from the tissue specificity and spatiotemporal stability of human microbial communities.This article provides a systematic review of recent advances in tissue source inference based on microbiome analysis,covering technological development,research trends,and practical applications.Finally,the challenges confronted in practice in forensic microbiology and the future prospects for its development are summarized.

Prostate cancer remains the second most common malignancy in men worldwide, is a global health issue, and poses a huge health burden. Precision medicine provides more treatment options for prostate cancer patients, but its popularity, drug resistance, and adverse reactions still need to be focused on. Chinese herbal medicines (CHMs) have been widely accepted as an alternative therapy for cancer, with the advantages of multiple targets, multiple pathways, and low toxicity. We searched the experimental research and clinical practice of CHMs for prostate cancer treatment published in PubMed, Embase, and Web of Science in the last five years. We found five CHM formulas and six single CHM extracts as well as 12 CHM-derived compounds, which showed induction of apoptosis, autophagy, and cell cycle arrest, suppression of angiogenesis, proliferation, and migration of prostate cancer cells, reversal of drug resistance, and enhancement of anti-tumor immunity. The mechanisms of action include the PI3K/Akt/mTOR, AR, EGFR and Wnt/β-catenin signaling pathways, which are commonly implicated in the development of prostate cancer. We also summarized the advantages of CHMs in patients with hormone-sensitive and castration-resistant prostate cancer and provided ideas for their further experimental design and application.

The most common subtype of lung cancer is non-small cell lung cancer (NSCLC), which has a poor prognosis and seriously threatens the health of human beings. The multidisciplinary comprehensive treatment model has gradually become the mainstream of NSCLC treatment. Traditional Chinese medicine (TCM) can be used effectively either as an adjunctive therapy or alone throughout the NSCLC therapy, which has a significant impact on survival, quality of life, and reduction of toxicity. Therefore, this paper reviewed the theoretical basis, the latest clinical application, and combined treatment mechanisms in order to explore the advantage stage of TCM treatment and the synergistic therapeutic mechanisms.

Objective: To explore the clinical application value of deep convoluti onal neural network for automatic detection and classification of benign and malignant thyroid nodules ultrasound images. Methods: A total of 1 012 ultrasound images of thyroid nodules were retrospectively selected and labeled. The YOLOv5 network model was constructed to accurately locate the location of thyroid nodules and automatically trim the area of the nodules. At the same time , a GoogLeNet network model was constructed to classify benign and malignant nodules after reduction. Results : In the collected data set , the mean accuracy of the target detection network for thyroid nodule location detection was 96. 2% . Meanwhile , the sensitivity, specificity, accuracy and AUC of the classification network for benign and malignant nodules were 0. 885 ,0. 822 ,0. 866 and 0. 92 respectively ,which were significantly higher than those of the AlexNet model (0. 81) , VGG model (0. 86) and MobileNet model (0. 76) . Conclusion The deep convo⁃ lutional neural network model has high localization and recognition ability for benign and malignant thyroid nodules in ultrasound images ,which is helpful to improve the accuracy of automatic image diagnosis.

Objective:To analyze the plasma levels of soluble immune checkpoint molecules in patients with primary liver cancer and their prognostic significance.Methods:The levels of sCD28, sCD80, sCD137, sCD27, sGITR, sTIM3, sCTLA4, sHVEM, IDO, sLAG3, sBTLA, sPD1, sPDL1 and sPDL2 in plasma samples of 58 patients with primary liver cancer and 30 healthy controls were detected by liquid chip technology and compared between different groups. The relationship between the plasma levels of soluble immune checkpoint molecules and tumor recurrence was analyzed.Results:The levels of sCD28 and sCD80 were higher in patients in Barcelona Clinic Liver Cancer (BCLC) stage 0/A and B than in healthy controls and patients in BCLC-C stage ( P<0.05). However, the levels of sCD27 and sHVEM in BCLC-C patients were significantly lower than those in BCLC-0/A and BCLC-B patients, and even lower than healthy control group. The levels of sCD137, IDO and sPD1 in BCLC-0/A and BCLC-B patients were higher than those in healthy controls. The levels of sPDL1 and sPDL2 in different BCLC stages were all higher than those in healthy controls, and maintained at high level in the three stages, but there was no significant difference between different stages. After 24 months of interventional treatment, the preoperative sCD28 level was lower in patients with recurrent tumor recurrence than in patients without recurrence ( t=2.843, P=0.007). The optimal cut-off value of sCD28 based on the receiver operating characteristic (ROC) curve for predicting tumor recurrence was 101.42 pg/ml and the area under the ROC curve was 0.771 (95%CI: 0.611-0.931) with a sensitivity of 0.889 and a specificity of 0.666. The cumulative recurrence rate in patients with high sCD28 level (≥101.41 pg/ml) was 57.9% at 24 months after surgery, which was lower than the rate (95.5%) in patients with low sCD28 level (<101.41 pg/ml). The difference in the cumulative recurrence rate between the two groups was statistically significant (χ 2=15.777, P=0.000). Conclusions:The expression patterns of soluble immune checkpoint molecules varied in patients at different stages of primary liver cancer, suggesting that there were differences in their immune status and sCD28 could be used as a prognostic marker for postoperative recurrence of liver cancer.

The treatment rules of point selection and treatment principles for treating chronic fatigue syndrome (CFS) can be divided into three categories: regulating and replenishing, invigorating original yang and regulating zang-fu organs. The mechanism of moxibustion includes improving gut microbiota imbalance, regulating immune cell imbalance and correcting endocrine dysfunction. The moxibustion methods include ginger-partitioned moxibustion, thunder-fire moxibustion, warm acupuncture, and governor moxibustion. Acupuncture points such as Shenque (RN8), Guanyuan (RN4), Qihai (RN6), Zusanli (ST36), Baihui (DU20), Yongquan (KI1) and back-shu points are often selected to exert anti-chronic fatigue effects.

Endogenously eliminating the hematoma is a favorable strategy in addressing intracerebral hemorrhage (ICH). This study sought to determine the role of retinoid X receptor-α (RXR-α) in the context of hematoma absorption after ICH. Our results showed that pharmacologically activating RXR-α with bexarotene significantly accelerated hematoma clearance and alleviated neurological dysfunction after ICH. RXR-α was expressed in microglia/macrophages, neurons, and astrocytes. Mechanistically, bexarotene promoted the nuclear translocation of RXR-α and PPAR-γ, as well as reducing neuroinflammation by modulating microglia/macrophage reprograming from the M1 into the M2 phenotype. Furthermore, all the beneficial effects of RXR-α in ICH were reversed by the PPAR-γ inhibitor GW9662. In conclusion, the pharmacological activation of RXR-α confers robust neuroprotection against ICH by accelerating hematoma clearance and repolarizing microglia/macrophages towards the M2 phenotype through PPAR-γ-related mechanisms. Our data support the notion that RXR-α might be a promising therapeutic target for ICH.
Anilides/pharmacology* ; Cerebral Hemorrhage/drug therapy* ; Hematoma/drug therapy* ; Humans ; Macrophages ; Microglia ; Neuroprotection ; PPAR gamma ; Retinoid X Receptor alpha

Endogenously eliminating the hematoma is a favorable strategy in addressing intracerebral hemorrhage (ICH). This study sought to determine the role of retinoid X receptor-α (RXR-α) in the context of hematoma absorption after ICH. Our results showed that pharmacologically activating RXR-α with bexarotene significantly accelerated hematoma clearance and alleviated neurological dysfunction after ICH. RXR-α was expressed in microglia/macrophages, neurons, and astrocytes. Mechanistically, bexarotene promoted the nuclear translocation of RXR-α and PPAR-γ, as well as reducing neuroinflammation by modulating microglia/macrophage reprograming from the M1 into the M2 phenotype. Furthermore, all the beneficial effects of RXR-α in ICH were reversed by the PPAR-γ inhibitor GW9662. In conclusion, the pharmacological activation of RXR-α confers robust neuroprotection against ICH by accelerating hematoma clearance and repolarizing microglia/macrophages towards the M2 phenotype through PPAR-γ-related mechanisms. Our data support the notion that RXR-α might be a promising therapeutic target for ICH.