BACKGROUND: The Chinese formula Guben-Jiannao Ye (GBJNY) formula has a long history of usage in traditional Chinese medicine (TCM) for the treatment of learning and memory disorders as well as senile insomnia. This formulation is derived from Sun Simiao\'s five tonic pills. Furthermore, modern pharmacological investigations have revealed its ability to improve cognitive impairment and ameliorate sleep-wake circadian rhythm disorders. However, the precise mechanism underlying its efficacy remains elusive.
OBJECTIVE: The current research explored the modulatory effects and possible mechanisms of GBJNY in circadian rhythm sleep-wake disorders and cognitive dysfunction in Alzheimer\'s disease using transcriptome sequencing and experimental validation.
METHODS: The LC-MS/MS tandem technology was utilized to qualitatively discern the active components present in GBJNY. The APP/PS1 mice received continuous treatment with GBJNY or Melatonin for 3 months. The learning and memory abilities of mice were assessed utilizing the Morris water maze (MWM) test, while sleep changes were studied utilizing the electroencephalogram (EEG) and electromyogram (EMG). Concurrently, mice\'s hippocampus clock gene rhythmicity was investigated. Subsequently, we employed HE staining, Golgi staining, and immunofluorescence to observe GBJNY\'s impact on synaptic damage and neuronal loss. We performed high-throughput sequencing to analyze the mRNA expression profiles of mice, aiming to identify differentially expressed genes (DEGs). Subsequently, we conducted GO and KEGG enrichment analyses to explore associated signaling pathways. Furthermore, we evaluated the expression levels of proteins involved in the PI3K/AKT/mTOR pathway and Aβ deposition in the hippocampus of mice. Through this comprehensive approach, we sought to elucidate and validate the potential mechanisms of action of GBJNY in APP/PS1 mice.
RESULTS: Results showed 216 DEGs. Following this, we conducted GO enrichment and KEGG pathway analyses to delve deeper into the distinctions and fundamental functions of the mRNA target genes. The enrichment analysis underscored the prominence of the PI3K/Akt/mTOR signaling pathway as the most pivotal among them. Through in vivo experiments, it was further demonstrated that the administration of GBJNY enhanced memory and learning capacities in APP/PS1 mice. Additionally, GBJNY treatment resulted in alterations in the sleep-wake circadian rhythm, characterized by reduced wakefulness and an increase in non-rapid eye movement (NREM) sleep. Moreover, alterations in the peak expression of Per1, Per2, Clock, Cry1, Cry2, and Bmal1 mRNA were noted in the hippocampus of treated mice. Particularly noteworthy were the observed reductions in amyloid-beta (Aβ) deposition within the hippocampus, improvements in neuronal synaptic integrity, and upregulation of mTOR, Akt, and PI3K protein expression in the hippocampal region. These findings underscore the critical involvement of the PI3K/Akt/mTOR signaling pathway in mitigating disturbances in sleep-wake circadian rhythms.
CONCLUSIONS: GBJNY enhanced the cognitive performance of APP/PS1 mice and altered clock gene expression patterns, alleviating sleep-wake circadian rhythm disruptions. The fundamental mechanism appears to be linked to the PI3K/Akt/mTOR pathway regulation, offering a foundation for potential clinical applications.

This study aimed to investigate the mechanism of action of myrrh in breast cancer (BC) treatment and identify its effective constituents. Data on the compounds and targets of myrrh were collected from the TCMSP, PubChem, and Swiss Target Prediction databases. BC-related targets were obtained from the Genecard database. A protein-protein interaction (PPI) analysis, gene ontology (GO) enrichment, and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were conducted on the intersecting targets of the disease and drug. The key targets of myrrh in BC treatment were identified based on the PPI network. The active constituents of myrrh were determined through reverse-screening using the top 20 KEGG pathways. Macromolecular docking studies, molecular dynamic (MD) simulations, and cell assays were utilized to validate the active constituents and critical targets. Network pharmacology indicated that VEGFA, TP53, ESR1, EGFR, and AKT1 are key targets of myrrh. Pelargonidin chloride, Quercetin, and Naringenin were identified as the active constituents of myrrh. Macromolecular docking showed that Quercetin and Naringenin have strong docking capabilities with ESR1. The results of MD simulation experiments align with those of molecular docking experiments. Cell and western blot assays demonstrated that Quercetin and Naringenin could inhibit MCF-7 cells and significantly reduce the expression of ESR1 protein. The findings reveal the active constituents, key targets, and molecular mechanisms of myrrh in BC treatment, providing scientific evidence that supports the role of myrrh in BC therapy. Furthermore, the results suggest that network pharmacology predictions require experimental validation for reliability.

Psoriasis is a skin disease that is inflammatory and persistent, causing a high rate of recurrence, poor quality of life, and significant socioeconomic burden. Its main pathological manifestations are abnormal activation and infiltration of T cells and excessive proliferation of keratinocytes (KCs). The great majority of patients with psoriasis will relapse after remission. It usually lasts a lifetime and necessitates long-term treatment strategies. During periods of activity and remission, one of the main cell types in psoriasis is memory T cells, which include tissue-resident memory T (TRM) cells, central memory T (TCM) cells, and effector memory T (TEM) cells. They work by releasing inflammatory factors, cytotoxic particles, or altering cell subpopulations, leading to increased inflammation or recurrence. This review summarizes the role of memory T cells in the pathology and treatment of psoriasis, with a view to potential novel therapies and therapeutic targets.

Dal Lake, the world-famous tourist attraction has been polluted by allochthonous and autochthonous sources, as a result the heavy metal (HMs) concentrations within the water body has reached the toxic levels which is endangering the lives of the people. A study was carried out during the year 2021 (i) to determine the concentration of HMs (molybdenum: Mo, arsenic: Ar, cadmium: Cd, lead: Pb) at the four designated sites of Dal Lake, and (ii) a public survey (400 persons) involving economic valuation of water body in terms of recreational use and other benefits. The highest values of biological oxygen demand (BOD) and chemical oxygen demand (COD) within the Dal Lake were recorded at site A, which were 31 ± 1.10 mg/l and 76 ± 0.64, respectively. Similarly, maximum nitrate nitrogen was found at site A (865 ± 0.86 μg/l). The highest value of Pb was reported (6.828 ± 0.003 ppb) from site A whereas, the lowest from site B (2.492 ± 0.002 ppb). The mean values of Mo concentrations (in ppb) were found to be 2.538 ± 0.002, 1.703 ± 0.003, 3.627 ± 0.004 and 4.787 ± 0.002 at the four sites respectively. The observed values of HMs (in ppb) were much higher than the permissible values (WHO, 2006) and those reported earlier. A huge amount of money (Rs 16,18,66,000/) is being generated from the floating gardens of Dal Lake, calculated by TCM and CVM methods. During the survey, 68 % of people showed a willingness to pay (WTP) for the restoration of the Dal Lake and improved services (mean value: Rs 62,852.20/). Thus, the monitoring and assessment were done to find out how the Dal Lake contributes to the economy of the state by way of its different services and the major attraction for tourists besides the possible reasons for the deterioration of water quality, in order to find a long-lasting solution for the sustainable conservation of Dal Lake.

Wang\'s metabolic formula (WMF) is a traditional Chinese medicine formula developed under the guidance of Professor Kungen Wang. WMF has been clinically utilized for several years. However, the therapeutic mechanism of WMF in treating metabolic-associated fatty liver disease (MAFLD) remains unclear. In this study, we performed phytochemical analysis on WMF using LC-MS. To study the role of WMF in MAFLD, we orally administered WMF (20.6 g/kg) to male MAFLD mice induced by a high-cholesterol high-fat diet (HCHFD). Then pathological, biochemical, and metabolomic analyses were performed. The main components of WMF are chlorogenic acid, geniposide, albiflorin, paeoniflorin, and calycosin-7-O-glucoside. MAFLD mice treated with WMF exhibited significant improvements in obesity, abnormal lipid metabolism, inflammation, and liver pathology. WMF decreased aspartate aminotransferase (AST), alanine aminotransferase (ALT), and triglyceride (TG) levels in the serum of MAFLD mice while increasing high-density lipoprotein cholesterol (HDL-c) levels. WMF lowered liver TG levels and inflammatory factors (IL-1β, IL-6, TNF-α, and NF-κB). Metabolomic analysis of the liver annotated 78 differentially regulated metabolites enriched in four pathways: glycerophospholipid metabolism, retinol metabolism, PPAR signaling pathway, and choline metabolism. Western blot experiments showed that WMF increased the expression of PPAR-α, PPAR-β, and RXR in the liver while decreasing the expression of RAR. The study demonstrates that WMF has a solid preventive and therapeutic effect on MAFLD. The anti-inflammatory and regulation of abnormal liver metabolism activities of WMF involve retinol metabolism and the PPAR signaling pathway.

Citri Grandis Exocarpium (Huajuhong, CGE) is the peel of the unripe fruits of Citrus grandis \'Tomentosa\' and Citrus grandis (L.) Osbeck, which is commonly used in the clinic for the treatment of cough and indigestion. The pharmacological mechanism of CGE is unclear. In this study, the pharmacological effect of CGE was predicted by System Traditional Chinese Medicine (SYSTCM), which integrated the pharmacological effect prediction approach by artificial intelligence into the systemic traditional Chinese medicine (TCM) platform. The main pharmacological effect of CGE was antiallergy, promoting bile, blood lipid regulation, cardiotonics, diuresis, and antiarrhythmia by prediction of SYSTCM. In vitro cell experiments were carried out to identify the antiallergic effect of CGE. Extracts of Citri Grandis Exocarpium (ECGE) inhibited lipopolysaccharide-induced cell injury and nitric oxide release in RAW264.7 cells. ECGE and naringin-inhibited immunoglobulin E-induced cell degranulation in RBL-2H3 cells. Target profiling, protein interaction network, and molecular docking of compounds from CGE indicated that mitogen-activated protein kinase 14 (MAPK14) and matrix metalloprotease 9 (MMP9) were key potential targets of CGE with antiallergic activity. This study identified and validated the antiallergic effect of CGE by combining SYSTCM, cell experiments, and virtual screening, which provided a new paradigm and approach for studying the pharmacological effect and mechanism of TCM.

The pursuit of groundbreaking health care innovations has led to the convergence of artificial intelligence (AI) and traditional Chinese medicine (TCM), thus marking a new frontier that demonstrates the promise of combining the advantages of ancient healing practices with cutting-edge advancements in modern technology. TCM, which is a holistic medical system with >2000 years of empirical support, uses unique diagnostic methods such as inspection, auscultation and olfaction, inquiry, and palpation. AI is the simulation of human intelligence processes by machines, especially via computer systems. TCM is experience oriented, holistic, and subjective, and its combination with AI has beneficial effects, which presumably arises from the perspectives of diagnostic accuracy, treatment efficacy, and prognostic veracity. The role of AI in TCM is highlighted by its use in diagnostics, with machine learning enhancing the precision of treatment through complex pattern recognition. This is exemplified by the greater accuracy of TCM syndrome differentiation via tongue images that are analyzed by AI. However, integrating AI into TCM also presents multifaceted challenges, such as data quality and ethical issues; thus, a unified strategy, such as the use of standardized data sets, is required to improve AI understanding and application of TCM principles. The evolution of TCM through the integration of AI is a key factor for elucidating new horizons in health care. As research continues to evolve, it is imperative that technologists and TCM practitioners collaborate to drive innovative solutions that push the boundaries of medical science and honor the profound legacy of TCM. We can chart a future course wherein AI-augmented TCM practices contribute to more systematic, effective, and accessible health care systems for all individuals.

Introduction: Traditional Chinese medicine (TCM) is gaining worldwide popularity as a complementary and alternative medicine. The isolation and characterization of active ingredients from TCM has become optional strategies for drug development. In order to overcome the inherent limitations of these natural products such as poor water solubility and low bioavailability, the combination of nanotechnology with TCM has been explored. Taking advantage of the benefits offered by the nanoscale, various drug delivery systems have been designed to enhance the efficacy of TCM in the treatment and prevention of diseases. Methods: The manuscript aims to present years of research dedicated to the application of nanotechnology in the field of TCM. Results: The manuscript discusses the formulation, characteristics and therapeutic effects of nano-TCM. Additionally, the formation of carrier-free nanomedicines through self-assembly between active ingredients of TCM is summarized. Finally, the paper discusses the safety behind the application of nano-TCM and proposes potential research directions. Discussion: Despite some achievements, the safety of nano-TCM still need special attention. Furthermore, exploring the substance basis of TCM formulas from the perspective of nanotechnology may provide direction for elucidating the scientific intension of TCM formulas.

BACKGROUND: Metabolic syndrome (MetS), characterized by obesity, hyperglycemia, and abnormal blood lipid levels, is the pathological basis of many cardiovascular diseases. Gualou-Xiebai-Banxia-Tang decoction (GT) was first described in the Synopsis of the Golden Chamber, the earliest traditional Chinese medicine (TCM) monograph on diagnosis and treatment of miscellaneous diseases in China. According to TCM precepts, based on its ability to activate yang to release stagnation, activate qi to reduce depression, remove phlegm, and broaden the chest, GT has been used for more than 2,000 years to treat cardiovascular ailments. However, the molecular bases of its therapeutic mechanisms remain unclear.
OBJECTIVE: The aim of this study was to identify lipid- and glucose-related hepatic genes differentially regulated by GT, and to assess GT impact on gut microbiota composition, in mice with high-fat diet (HFD)-induced MetS.
METHODS: ApoE-/- mice were fed with an HFD for 24 weeks, with or without concurrent GT supplementation, to induce MetS. At the study\'s end, body weight, visceral fat weight, blood lipid levels, and insulin sensitivity were measured, and histopathological staining was used to evaluate hepatosteatosis and intestinal barrier integrity. Liver transcriptomics was used for analysis of differentially expressed genes in liver and prediction of relevant regulatory pathways. Hepatic lipid/glucose metabolism-related genes and proteins were detected by RT-qPCR and western blotting. Gut microbial composition was determined by 16S rRNA gene sequencing.
RESULTS: GT administration reduced MetS-related liver steatosis and weight gain, promoted insulin sensitivity and lipid metabolism, and beneficially modulated gut microbiota composition by decreasing the relative abundance of g_Lachnospiraceae_NK4A136_group and increasing the relative abundance of g_Alistipes. Liver transcriptomics revealed that GT regulated the expression of genes related to lipid and glucose metabolism (Pparγ, Igf1, Gpnmb, and Trem2) and of genes encoding chemokines/chemokine receptors (e.g. Cxcl9 and Cx3cr1). Significant, positive correlations were found for Ccr2, Ccl4, Ccr1, and Cx3cr1 and the g_Lachnospiraceae_NK4A136_group, and between Cxcl9, Ccr2, Ccl4, and Cx3cr1 and g_Desulfovibrio. GT treatment downregulated the protein expressions of SCD1 and CX3CR1 and upregulated the expression of PCK1 protein.
CONCLUSIONS: GT supplementation alleviates HFD-induced MetS in mice by improving hepatic lipid and glucose metabolism. The anti-metabolic syndrome effects of GT may be related to the regulation of the gut-liver axis.

BACKGROUND: Tinnitus diagnosis poses a challenge in otolaryngology owing to an extremely complex pathogenesis, lack of effective objectification methods, and factor-affected diagnosis. There is currently a lack of explainable auxiliary diagnostic tools for tinnitus in clinical practice.
OBJECTIVE: This study aims to develop a diagnostic model using an explainable artificial intelligence (AI) method to address the issue of low accuracy in tinnitus diagnosis.
METHODS: In this study, a knowledge graph-based tinnitus diagnostic method was developed by combining clinical medical knowledge with electronic medical records. Electronic medical record data from 1267 patients were integrated with traditional Chinese clinical medical knowledge to construct a tinnitus knowledge graph. Subsequently, weights were introduced, which measured patient similarity in the knowledge graph based on mutual information values. Finally, a collaborative neighbor algorithm was proposed, which scored patient similarity to obtain the recommended diagnosis. We conducted 2 group experiments and 1 case derivation to explore the effectiveness of our models and compared the models with state-of-the-art graph algorithms and other explainable machine learning models.
RESULTS: The experimental results indicate that the method achieved 99.4% accuracy, 98.5% sensitivity, 99.6% specificity, 98.7% precision, 98.6% F1-score, and 99% area under the receiver operating characteristic curve for the inference of 5 tinnitus subtypes among 253 test patients. Additionally, it demonstrated good interpretability. The topological structure of knowledge graphs provides transparency that can explain the reasons for the similarity between patients.
CONCLUSIONS: This method provides doctors with a reliable and explainable diagnostic tool that is expected to improve tinnitus diagnosis accuracy.