Phytochemical and pharmacological properties of the genus Tamarix: a comprehensive review.

The genus Tamarix in the Tamaricaceae family consists of more than 100 species of halophyte plants worldwide that are mainly used to improve saline-alkali land and for coastal windbreaks, sand fixation, and afforestation in arid areas. A considerable number of species in this genus are also used as traditional medicines to treat various human diseases, especially in Asian and African countries. This review presents a comprehensive summary of 655 naturally occurring compounds derived from the genus Tamarix, categorized into flavonoids (18.0%), phenols (13.9%), tannins (9.3%), terpenoids (10.5%), essential oils (31.0%), and others (17.3%). The investigation revealed that the crude extracts and phytochemicals of this genus exhibited significant therapeutic potential, including anti-inflammatory, anti-Alzheimer, anticancer, antidiabetic, antibacterial, and antifungal activities. Six species of Tamarix have anticancer effects by causing cancer cell death, inducing autophagy, and stopping cell division. Seven species from the same genus have the potential for treating diabetes by inhibiting α-glycosidase activity, suppressing human islet amyloid polypeptide, regulating blood glucose levels, and modulating autophagy or inflammation. The focus on antibacterial and antidiabetic effects is due to the presence of volatile oil and flavonoid components. Extensive research has been conducted on the biological activity of 30 constituents, including 15 flavonoids, 5 phenols, 3 terpenoids, 1 tannin, and 6 others. Therefore, future research should thoroughly study the mechanisms of action of these and similar compounds. This is the most comprehensive review of the phytochemistry and pharmacological properties of Tamarix species, with a critical assessment of the current state of knowledge.

Identification of important gene signatures in schizophrenia through feature fusion and genetic algorithm.

Schizophrenia is a debilitating psychiatric disorder that can significantly affect a patient's quality of life and lead to permanent brain damage. Although medical research has identified certain genetic risk factors, the specific pathogenesis of the disorder remains unclear. Despite the prevalence of research employing magnetic resonance imaging, few studies have focused on the gene level and gene expression profile involving a large number of screened genes. However, the high dimensionality of genetic data presents a great challenge to accurately modeling the data. To tackle the current challenges, this study presents a novel feature selection strategy that utilizes heuristic feature fusion and a multi-objective optimization genetic algorithm. The goal is to improve classification performance and identify the key gene subset for schizophrenia diagnostics. Traditional gene screening techniques are inadequate for accurately determining the precise number of key genes associated with schizophrenia. Our innovative approach integrates a filter-based feature selection method to reduce data dimensionality and a multi-objective optimization genetic algorithm for improved classification tasks. By combining the filtering and wrapper methods, our strategy leverages their respective strengths in a deliberate manner, leading to superior classification accuracy and a more efficient selection of relevant genes. This approach has demonstrated significant improvements in classification results across 11 out of 14 relevant datasets. The performance on the remaining three datasets is comparable to the existing methods. Furthermore, visual and enrichment analyses have confirmed the practicality of our proposed method as a promising tool for the early detection of schizophrenia.

Malinzi, a traditional medicinal plants: Comprehensive review of botany, medical application, chemical composition, and pharmacology.

Malinzi is the dry ripe seed of Iris Lactea Pall. var. chinensis (Fisch.) Koidz and is a tradtional medicinal plant with significant development and utilization value. A total of 31 compounds from Malinzi have been reported, including flavonoids, quinones, oligostilbenes, and other constituents. Modern pharmacological studies have shown that Malinzi has good activities in anti-tumor, radio-sensitization, boost immunity, anti-oxidation, anti-fertility, and glucolipid metabolism. In this paper, by reviewing the domestic and foreign research literatures of Malinzi and summarizing its traditional uses, chemical constituents, and pharmacological activities, it is expected to provide theoretical reference for the subsequent in-depth research and application of Malinzi.

Accurate leukocyte detection based on deformable-DETR and multi-level feature fusion for aiding diagnosis of blood diseases.

In standard hospital blood tests, the traditional process requires doctors to manually isolate leukocytes from microscopic images of patients' blood using microscopes. These isolated leukocytes are then categorized via automatic leukocyte classifiers to determine the proportion and volume of different types of leukocytes present in the blood samples, aiding disease diagnosis. This methodology is not only time-consuming and labor-intensive, but it also has a high propensity for errors due to factors such as image quality and environmental conditions, which could potentially lead to incorrect subsequent classifications and misdiagnosis. Contemporary leukocyte detection methods exhibit limitations in dealing with images with fewer leukocyte features and the disparity in scale among different leukocytes, leading to unsatisfactory results in most instances. To address these issues, this paper proposes an innovative method of leukocyte detection: the Multi-level Feature Fusion and Deformable Self-attention DETR (MFDS-DETR). To tackle the issue of leukocyte scale disparity, we designed the High-level Screening-feature Fusion Pyramid (HS-FPN), enabling multi-level fusion. This model uses high-level features as weights to filter low-level feature information via a channel attention module and then merges the screened information with the high-level features, thus enhancing the model's feature expression capability. Further, we address the issue of leukocyte feature scarcity by incorporating a multi-scale deformable self-attention module in the encoder and using the self-attention and cross-deformable attention mechanisms in the decoder, which aids in the extraction of the global features of the leukocyte feature maps. The effectiveness, superiority, and generalizability of the proposed MFDS-DETR method are confirmed through comparisons with other cutting-edge leukocyte detection models using the private WBCDD, public LISC and BCCD datasets. Our source code and private WBCCD dataset are available at https://github.com/JustlfC03/MFDS-DETR.

Bitter-Pungent Flavor Identification Based on Ingredient Information Similarity of Chinese Herbal Medicines.

BACKGROUND: The flavor theory of Chinese herbal medicines (CHMs) is one of the core theories of traditional Chinese medicine (TCM). Accurate flavor identification of CHMs is essential to guide the clinical application of CHMs. OBJECTIVE: To develop a new method for flavor identification of CHMs according to the ingredient information for CHMs. METHODS: It was found that the chemical basis of medicinal flavors was CHM ingredients. We developed a bitter-pungent flavor identification scheme to build a relationship between medicinal flavors and CHM ingredients. We firstly proposed a scientific hypothesis that "CHMs with similar flavors should have a similar chemical basis". To test this scientific hypothesis, we then explored an intelligent algorithm for bitter-pungent flavor identification of CHMs based on the information similarity of CHM ingredients. GC was used to separate the chemical ingredients of CHMs and analyze the ingredient information of CHMs. A distance metric learning algorithm was built to measure the similarity of GC chemical fingerprints. A bitter-pungent flavor identification scheme (BPFI) was proposed to predict the bitter-pungent flavor of CHMs. Finally, a number of experiments were performed to evaluate the identification performance of our scheme. RESULTS: Compared to classical algorithms, our proposed BPFI scheme has better flavor prediction performance. The total identification accuracy of our BPFI scheme reached 0.843. The area under ROC (receiver operating characteristic curve) curve (AUC) was 0.899. CONCLUSION: The experimental results confirmed our inference that the chemical basis of CHM flavors was CHM ingredients, and implied that CHMs with similar flavors had similar composition. The BPFI model proved to be effective and feasible. HIGHLIGHTS: Verification hypothesis: CHMs with similar flavors should have similar chemical basis.

Clinical development and informatics analysis of natural and semi-synthetic flavonoid drugs: A critical review.

BACKGROUND: Flavonoids are one of the most important metabolites with vast structural diversity and a plethora of potential pharmacological applications, which have drawn considerable attention in the laboratory. Nevertheless, it remains uncertain how many candidates were progressed to clinical application. AIM OF REVIEW: We carried out a critical review of natural and semi-synthetic flavonoid drugs and candidates undergoing different clinical phases worldwide by applying an adequate search method and conducted a brief cheminformatic and bioinformatic analysis. It was expected that the obtained results might narrow the screening scope and reduce the cost of drug research and development. KEY SCIENTIFIC CONCEPTS OF REVIEW: To our knowledge, this is the most systematic summarization of flavonoid-based drugs and clinical candidates to date. It was found that a total of 19 flavonoid-based drugs have been approved for the market, and of these, natural flavonoids accounted for 52.6%. Besides, a total of 36 flavonoid-based clinical candidates are undergoing or suspended in different phases, and of these, natural flavonoids account for 44.4%. Thus, natural flavonoids remain the best option for finding novel agents/active templates, and when investigated in conjunction with synthetic chemicals and biologicals, they offer the potential to discover novel structures that can lead to effective agents against a variety of human diseases. Additionally, flavonoid-based marketed drugs have been successful in cardiovascular treatment, and the related drugs account for more than 30% of marketed drugs. However, the use of flavonoids as antineoplastic and immunomodulating agents is not likely for approximately 50% of the candidates suspended in the clinical stage. Interestingly, the marketed drugs covered a broader range of chemical spaces based on size, polarity, and three-dimensional structure compared to the clinical candidates. In addition, flavonoid glycosides with poor oral bioavailability account for 36.8% of the marketed drugs, and thus, they could be thoroughly investigated.

Folium crataegi boosts skin regeneration for burn injury in rats through multiple ways.

Appropriate topical dressings for burn treatments are important to accelerate skin wound recovery and prevent external infections. This study aimed to evaluate the effect and investigate the mechanism of folium crataegi (Crataegus pinnatifida Bge.) for the treatment of burn wounds, as well as to compare the therapeutic effects of aqueous extracts (HLW) and alcoholic extracts (HLE) from folium crataegi. The results demonstrated that both HLW and HLE groups exhibited a higher wound contraction rate than the silver sulfadiazine (SSD) ointment group. Moreover, HLW showed more significant wound repair effects than HLE. HLW significantly increased levels of EGF and FGF-2 in wound tissue, as well as TGF-ß1, VEGF, CAT and IL-10 in serum. Folium crataegi extract, especially aqueous extracts, exerted good anti-inflammatory, anti-oxidant and anti-bacterial effects by upregulating the expression of lag3, txn1 and slpi, respectively. Folium crataegi extract significantly inhibits the expression of npas2, a key gene in the circadian rhythm pathway. In conclusion, this research illustrated that the folium crataegi extract, especially aqueous extracts, had better therapeutic effects on skin burns through multiple ways, possibly including a novel mechanism related to circadian rhythm pathway. These findings suggest that folium crataegi could be a valuable source of compounds for enhancing skin regeneration through multiple ways.

The Morphology Dependent Interaction between Silver Nanoparticles and Bovine Serum Albumin.

Biological applications of silver nanoparticles (AgNPs) depend on the covalently attached or adsorbed proteins. A series of biological effects of AgNPs within cells are determined by the size, shape, aspect ratio, surface charge, and modifiers. Herein, the morphology dependent interaction between AgNPs and protein was investigated. AgNPs with three different morphologies, such as silver nanospheres, silver nanorods, and silver nanotriangles, were employed to investigate the morphological effect on the interaction with a model protein: bovine serum albumin (BSA). The adsorptive interactions between BSA and the AgNPs were probed by UV-Vis spectroscopy, fluorescence spectroscopy, dynamic light scattering (DLS), Fourier transform infrared spectrometry (FTIR), transmission electron microscopy (TEM), and circular dichroism (CD) techniques. The results revealed that the particle size, shape, and dispersion of the three types of AgNPs markedly influence the interaction with BSA. Silver nanospheres and nanorods were capsulated by protein coronas, which led to slightly enlarged outer size. The silver nanotriangles evolved gradually into nanodisks in the presence of BSA. Fluorescence spectroscopy confirmed the static quenching the fluorescence emission of BSA by the three AgNPs. The FTIR and CD results suggested that the AgNPs with different morphologies had different effects on the secondary structure of BSA. The silver nanospheres and silver nanorods induced more pronounced structural changes than silver nanotriangles. These results suggest that the formation of a protein corona and the aggregation behaviors of AgNPs are markedly determined by their inherent morphologies.

Comprehensive survey of target prediction web servers for Traditional Chinese Medicine.

Traditional Chinese medicine (TCM) is characterized by multi-components, multiple targets, and complex mechanisms of action and therefore has significant advantages in treating diseases. However, the clinical application of TCM prescriptions is limited due to the difficulty in elucidating the effective substances and the lack of current scientific evidence on the mechanisms of action. In recent years, the development of network pharmacology based on drug systems research has provided a new approach for understanding the complex systems represented by TCM. The determination of drug targets is the core of TCM network pharmacology research. Over the past years, many web tools for drug targets with various features have been developed to facilitate target prediction, significantly promoting drug discovery. Therefore, this review introduces the widely used web tools for compound-target interaction prediction databases and web resources in TCM pharmacology research, and it compares and analyzes each web tool based on their basic properties, including the underlying theory, algorithms, datasets, and search results. Finally, we present the remaining challenges for the promising future of compound-target interaction prediction in TCM pharmacology research. This work may guide researchers in choosing web tools for target prediction and may also help develop more TCM tools based on these existing resources.

A Combination of Deep-Sea Water and Fucoidan Alleviates T2DM through Modulation of Gut Microbiota and Metabolic Pathways.

Fucoidan and deep-sea water (DSW) are attractive marine resources for treating type 2 diabetes (T2DM). In this study, the regulation and mechanism associated with the co-administration of the two were first studied using T2DM rats, induced by a high fat diet (HFD) and streptozocin (STZ) injection. Results demonstrate that, compared to those with DSW or FPS alone, the orally administered combination of DSW and FPS (CDF), especially the high dose (H-CDF), could preferably inhibit weight loss, decrease levels of fasting blood glucose (FBG) and lipids, and improve hepatopancreatic pathology and the abnormal Akt/GSK-3ß signaling pathway. The fecal metabolomics data show that H-CDF could regulate the abnormal levels of metabolites mainly through the regulation of linoleic acid (LA) metabolism, bile acid (BA) metabolism, and other related pathways. Moreover, H-CDF could adjust the diversity and richness of bacterial flora and enrich bacterial groups, such as Lactobacillaceae and Ruminococcaceae UCG-014. In addition, Spearman correlation analysis illustrated that the interaction between the gut microbiota and BAs plays an essential role in the action of H-CDF. In the ileum, H-CDF was verified to inhibit activation of the farnesoid X receptor (FXR)-fibroblast growth factor 15 (FGF15) pathway, which is regulated by the microbiota-BA-axis. In conclusion, H-CDF enriched Lactobacillaceae and Ruminococcaceae UCG-014, thereby changing BA metabolism, linoleic acid metabolism, and other related pathways, as well as enhancing insulin sensitivity and improving glucose and lipid metabolism.

Vitex rotundifolia L. f. and Vitex trifolia L.: A review on their traditional medicine, phytochemistry, pharmacology.

ETHNOPHARMACOLOGICAL RELEVANCE: Vitex rotundifolia L. f. and Vitex trifolia L. belong to the genus Vitex, and Vitex rotundifolia L. f. evolved from Vitex trifolia L. Both are essential ethnic medicinal plants with a long history, commonly used to treat headaches, fever, diarrhea, hair loss, wound recovery, and other diseases. AIM OF THE REVIEW: The research status of Vitex trifolia L. and its relative species Vitex rotundifolia L. f. were reviewed from the aspects of traditional medicinal use, phytochemistry, and pharmacological activities, to provide a reference for the further development and utilization of Vitex rotundifolia L. f. and Vitex trifolia L. MATERIALS AND METHODS: In this paper, a comprehensive search of published literature was conducted through various books and online databases to obtain relevant information on Vitex rotundifolia L. f. and Vitex trifolia L. The search terms "(Vitex rotundifolia) OR (Vitex trifolia) OR (Fructus viticis)" were entered in PubMed, Web of Science, China national knowledge infrastructure (CNKI), Wanfang Data, Baidu Scholar, respectively. In addition to setting the year threshold of "2018-2022" on Baidu Scholar, other databases searched all fields and found 889, 283, 1263, 1023, and 147 articles, respectively. Among them, review, repetition, overlapping data, and other reasons were excluded, and finally, a total of 164 articles were included in the review study. RESULTS: A total of 369 compounds have been identified, including 159 terpenoids, 51 flavonoids, 83 phenylpropanoids, and 76 other compounds. Pharmacological studies have shown that Vitex rotundifolia L. f. and Vitex trifolia L. have a variety of pharmacological activities, such as anti-tumor, analgesic, antipyretic, anti-inflammatory, antioxidant, antibacterial, and estrogen-like activity. Modern clinical use for treating cold headaches, diarrhea dysentery, irregular menstruation, and other diseases. CONCLUSIONS: As traditional medicinal plants, Vitex rotundifolia L. f. and Vitex trifolia L. have wealthy chemical constituents and extensive pharmacological activities and are widely used in clinical practice from traditional to modern times. However, the research on the pharmacological activities of Vitex rotundifolia L. f. and Vitex trifolia L. is not in-depth, and the potential active components still need to be explored.

Discovery of natural polyphenols from the wild vegetable Suaeda salsa L. with potential cardioprotective functions.

Suaeda salsa L. (Chenopodiaceae) is a wild vegetable distributed along the northern coast of China. Searching for potential agents with health benefits from S. salsa L. led to the identification of 14 flavonoids (1-14), eight phenolic acids (15-22), one coumarin (23), one benzoquinone (24), two sesquiterpenes (25, 26), and three lignins (27-29) from an aqueous ethanol (EtOH) extract of the above-ground whole plant using various column chromatographic methods. High-resolution electrospray ionization mass spectrometry (HRESIMS) analyses and nuclear magnetic resonance (1H and 13C NMR) spectroscopy were adopted to examine the structural properties of the compounds. To date, our study is the first to identify 20 compounds from this genus. Some compounds exhibited significant health benefits in zebrafish models. Compounds 2, 4, 23, and 28 significantly improved oxidative damage, while compounds 1-5, 7, 11, 13, 18, 19, and 23 significantly improved zebrafish lateral line neuromast inflammation. Additionally, compounds 1, 4, 8, 13, and 16 significantly promoted zebrafish angiogenesis, while compounds 3-5 and 18 significantly improved zebrafish arrhythmia. Furthermore, a flavonoid-targeted metabolomics study revealed that flavanone was the precursor of all of the flavonoids and had its highest accumulation in August, while the others showed their highest accumulation in September. Thus, the best time to harvest most of the bioactive polyphenols is during September. The present study revealed that the wild vegetable S. salsa L. might be developed as a potential cardioprotective functional food.

A bibliometric and visualization-based analysis of temozolomide research hotspots and frontier evolution.

The literature related to TMZ research in the Web of Science (WOS) database was analyzed using bibliometrics and visualization by Citespace and VOSviewer.The publication status (number of publications, institutions, and frequency of citations), collaborations, and research focus was analyzed to clarify the current situation of TMZ research. And the recent research on TMZ provides a detailed summary. Based on objective data analysis, this study provides a complete analysis portraying the progression of historical milestones in TMZ development and future research directions from various TMZ research domains.

Texture synthesis of ecological plant protection image based on convolution neural network.

Texture synthesis technology is an important realistic rendering technology. Texture synthesis technology also has a good application prospect in image rendering and other fields. Convolutional neural network is a very popular technology in recent years. Convolutional neural network model can learn the features in data and realize intelligent processing through the feature learning in data. Later, with the rapid improvement of convolutional neural network, texture synthesis technology based on neural network came into being. The purpose of this paper is to study the texture synthesis method of ecological plant protection image based on convolutional neural network. By studying the context and research implications, the definition of textures as well as texture synthesis methods, convolutional neural networks, and based on convolutional neural network. In the experiment, the experimental environment is established, and the subjective evaluation and objective evaluation of the image texture synthesis method experiment are investigated and studied by using swap algorithm. The experimental results show that the method used in this paper is superior to other methods.

Electrospun nanofibrous membrane with antibacterial and antiviral properties decorated with Myoporum bontioides extract and silver-doped carbon nitride nanoparticles for medical masks application.

Public health safety issues have been plaguing the world since the pandemic outbreak of coronavirus disease (COVID-19). However, most personal protective equipments (PPE) do not have antibacterial and anti- toxicity effects. In this work, we designed and prepared a reusable, antibacterial and anti-toxicity Polyacrylonitrile (PAN) based nanofibrous membrane cooperated with Ag/g-C3N4 (Ag-CN), Myoporum.bontioides (M. bontioides) plant extracts and Ag nanoparticles (NPs) by an electrospinning-process. The SEM and TEM characterization revealed the formation of raised, creased or wrinkled areas on the fiber surface caused by the Ag nanoparticles, the rough surface prevented the aerosol particles on the fiber surface from sliding and stagnating, thus providing excellent filtration performance. The PAN/M. bontioides/Ag-CN/Ag nanofibrous membrane could be employed as a photocatalytic bactericidal material, which not only degraded 96.37% of methylene blue within 150 min, but also exhibited the superior bactericidal effect of 98.65 ± 1.49% and 97.8 ± 1.27% against E. coli and S. aureus, respectively, under 3 hs of light exposure. After 3 cycles of sterilization experiments, the PAN/M. bontioides/Ag-CN/Ag nanofibrous membrane maintained an efficient sterilization effect. Molecular docking revealed that the compounds in M. bontioides extracts interacted with neo-coronavirus targets mainly on Mpro and RdRp proteins, and these compounds had the strongest docking energy with Mpro protein, the shortest docking radius, and more binding sites for key amino acids around the viral protein targets, which influenced the replication and transcription process of neo-coronavirus. The PAN/M.bontioides/Ag-CN/Ag nanofibrous membrane also performed significant inhibition of influenza A virus H3N2. The novel nanofiber membrane is expected to be applied to medical masks, which will improve human isolation and protection against viruses.

Structural Modifications and Biological Activities of Natural α- and ß-Cembrenediol: A Comprehensive Review.

As one of the most characteristic ingredients of glandular trichome secretions from Nicotiana tabacum L. (tobacco), natural cembrenediols, namely, (1S,2E,4S,6R,7E,11E)-2,7,11-cembratriene-4,6-diol (α-cembrenediol/α-CBD) and its C-4 epimer (ß-cembrenediol/ß-CBD), have attracted considerable attention for their potent antitumor, neuroprotective, antimicrobial, and other activities. Many researchers are committed to exploring the possibility of utilizing these two cembrenediols and their derivatives both in human medicine and in agricultural fungicides. To the best of our knowledge, this review is the first to provide a comprehensive summary of the chemical modifications and bioactivities of α- and ß-CBD from their discovery to the present day; the review highlights their potential medicinal value for humans. The extensive references from 1962 to 2022 provided herein were systematically gathered from the SciFinder, Web of Science, and Google Scholar databases. We expect this review to assist in providing practical ideas for future drug development based on α- and ß-CBD and in further facilitating the utilization of the tobacco cembrenediols.

Research Progress on Nanoplatforms and Nanotherapeutic Strategies in Treating Glioma.

Glioma is the most common and aggressive primary intracranial tumor within the central nervous system. The blood-brain barrier (BBB) has been a great hurdle for an effective glioma treatment. To effectively treat glioma, various strategies have been applied to deliver drugs to the brain by crossing the BBB. Nanocarrier-mediated drug delivery is emerging as an effective and noninvasive system to treat glioma, showing great potential in glioma therapy. In this review, we will provide a comprehensive overview on nanocarrier-mediated drug delivery and related glioma therapy. Following an initial overview of the BBB and blood-brain-tumor barrier (BBTB) structure and characteristics, nanocarrier-mediated drug delivery strategies (liposomes, micelles, inorganic systems, polymeric nanoparticles, nanogel system, biomimetic nanoparticles, and exosomes) for crossing the BBB are discussed. Finally, nanotherapeutic techniques (imaging-mediated chemotherapy, photothermal therapy, photodynamic therapy, gene therapy, immunotherapy, ferroptosis therapy, sonodynamic therapy, chemodynamic therapy, and combination therapy) in treating glioma are summarized. In addition, this review provides some perspectives on the clinical applications of nanomedicines.

Research progress on self-assembled nanodrug delivery systems.

In recent years, nanodrug delivery systems have attracted increasing attention due to their advantages, such as high drug loading, low toxicity and side effects, improved bioavailability, long circulation time, good targeting and controlled drug release efficiency. Self-assembly technology has developed rapidly in recent decades and plays an important role in the research and development of nanoscience. The combination of nanometer drug delivery and self-assembly technology can realize the self-delivery process of drugs. The facile synthesis process and strong biological affinity can both effectively enhance the therapeutic efficacy and reduce the toxicity of drugs. This combination of technologies has received wide attention in the field of nanobiomedicine. In this review, we summarize the research progress and applications of different types of self-assembled nanodrug delivery systems (amphiphilic block copolymer-based self-assembled drug delivery system, carrier-free nanodrugs, peptide-based self-assembled delivery system, metal-polyphenol self-assembly and natural small-molecule self-assembled nanodrug delivery systems), which are expected to have potential therapeutic value in the field of biomedicine in the future.

Potential activity of Traditional Chinese Medicine against Ulcerative colitis: A review.

ETHNIC PHARMACOLOGICAL RELEVANCE: Plant materials are used as complementary and alternative therapies all over the world for the treatment of various diseases. Ulcerative colitis (UC), a chronic nonspecific inflammatory bowel disease listed as one of the modern refractory diseases by the World Health Organization, has a long course, is challenging to cure, and is prone to cause cancer. Recent years have witnessed a growing trend of applying traditional Chinese medicine (TCM) to UC. AIM OF THIS REVIEW: This review presents an overview of the pathogenesis of UC and reports the therapeutic effect of TCM on UC (including TCM prescriptions, single TCM, and treatments using TCM ingredients) to provide a theoretical basis for the use of TCM in treating UC. METHODS: We performed a collection and collation of relevant scientific articles from different scientific databases regarding TCM and its usefulness in treating UC. In this paper, the therapeutic effect of TCM is summarized and analyzed according to the existing experimental and clinical research. RESULTS: There are positive signs that TCM primarily regulates inflammatory cytokines, intestinal flora, and the immune system, and also protects the intestinal mucosa. Hence, it can play a role in treating UC. CONCLUSION: TCM has a definite curative effect in the treatment of UC. It can alleviate and treat UC in a variety of ways. We should take syndrome differentiation and treatment differentiation as the basis. With the help of modern medicine, TCM's clinical curative effects can be enhanced for the treatment of UC.