ObjectiveTo investigate the effect of solute carrier family 7 member 5 (SLC7A5) inhibitor JPH203 on renal fibrosis induced by unilateral ureteral obstruction in mice. MethodsSixteen SPF male C57BL/6 mice were randomly divided into the control group and the experimental group, with 8 mice in each group. The mouse model of renal fibrosis was established by unilateral ureteral obstruction. From the third day after surgery, the mice in the control group were intraperitoneally injected with phosphate-buffered saline (PBS) for 11 consecutive days, and the injection dose was 200 μL/d. Mice in the experimental group received intraperitoneal injection of JPH203 (50 mg/kg) every day for 11 days. On day 14, the mice were euthanized, then the kidney tissues were obtained. Hematoxylin and eosin (HE) staining was used to assess renal tissue damage, Masson staining was used to evaluate collagen fiber deposition in the extracellular matrix, and immunohistochemistry was used to detect the levels of fibroblast activation markers α-smooth muscle actin (α-SMA) and collagen type Ⅰ (COL-Ⅰ) in kidney tissues. Western blotting was further performed to measure the expression levels of SLC7A5 and transforming growth factor-β1 (TGF-β1), as well as the phosphorylation levels of mammalian target of rapamycin complex 1 (mTORC1) signaling pathway-related molecules. Real-time quantitative PCR was used to verify changes in the mRNA levels of SLC7A5, α-SMA, and COL-Ⅰ in kidney tissues. ResultsCompared with the control group, the experimental group showed reduced destruction of renal tissue structure and a significantly lower pathological injury score (P<0.05). Additionally, collagen deposition in the extracellular matrix was decreased, and the percentage of collagen fiber area was significantly reduced (P<0.001) in the experimental group. The levels of fibroblast activation markers α-SMA and COL-Ⅰ were significantly lower in the experimental group (both P<0.001). The expression levels of SLC7A5 and TGF-β1 were also significantly decreased (P<0.001), and the phosphorylation levels of mTORC1 signaling pathway-related proteins 4E-BP1 and mTORC1 were significantly reduced (P<0.001). Real-time quantitative PCR confirmed that the mRNA levels of SLC7A5, α- SMA, and COL-Ⅰ in kidney tissues were significantly lower in the experimental group (P<0.001). ConclusionJPH203 may inhibit the progression of renal fibrosis in mice by suppressing SLC7A5 expression, regulating the mTORC1 signaling pathway, and altering fibroblast activation status.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

ObjectiveThis paper aims to find the identified and validated clinical biomarker data building upon a clinical study of early-phase phase Ⅱ and investigate the correlation analysis of Huanglian Jiedu Wan on syndrome improvement and clinical biomarkers in the treatment of "excess heat-toxicity" based on a machine learning model. Additionally， the effective prediction of clinical biomarker values for the main symptoms of the "excess heat-toxicity" syndrome was assessed. MethodsA total of 229 patients meeting the inclusion criteria for "excess heat-toxicity" syndrome were randomly divided into the Huanglian Jiedu Wan group and the placebo group. Syndrome score transition matrices were constructed for the Huanglian Jiedu Wan group and the placebo group based on three main symptoms of "excess heat-toxicity" syndrome， such as oral ulcers， sore throat， and gum swelling and pain. Data from the patients with these three syndromes were also integrated for an overall analysis. The corresponding syndrome score transition matrices were further constructed to visualize symptom change trends of the patients in the two groups via heatmaps. Based on the identified and validated clinical biomarkers related to inflammation， oxidative stress， and energy metabolism in the early phase， Spearman correlation analysis was employed to analyze and evaluate the associations between clinical biomarkers and syndrome improvement. Key clinical biomarkers reflecting the effect of Huanglian Jiedu Wan were screened through the comparison of differences between groups. An extreme gradient boosting （XGBoost） algorithm was used to develop a prediction model for main symptom classification， with classification performance evaluated through 10-fold cross-validation. Feature importance analysis was applied to identify variables with the greatest contribution to the prediction result. ResultsThe syndrome transition matrix results indicated that the Huanglian Jiedu Wan group showed a superior effect to the placebo group in improving oral ulcers， sore throat， and overall symptoms， with significant effects observed especially in sore throat and overall symptom analyses （P<0.01）. Spearman correlation analysis revealed that several clinical biomarkers positively correlated with "excess heat-toxicity" syndrome and its main symptom improvement， were also called "heat-related biomarkers"， including succinic acid， α-ketoglutaric acid， glycine， lactic acid， adenosine monophosphate （AMP）， tumor necrosis factor-α （TNF-α）， interferon-γ （IFN-γ）， interleukin-1β （IL-1β）， interleukin-4 （IL-4）， interleukin-6 （IL-6）， interleukin-8 （IL-8）， interleukin-10 （IL-10）， and so on. Conversely， clinical biomarkers negatively correlated with symptom severity， were also called "heat-clearing related biomarkers" after administration of Huanglian Jiedu Wan， including malic acid， fumaric acid， cis-aconitic acid， adrenocorticotropic hormone （ACTH）， IL-1β， IL-4， IL-8， succinic acid， and citric acid. The XGBoost classification model using all 52 biomarkers as variables achieved an average test accuracy of 0.754 and an average F1 score of 0.777. Feature importance analysis identified the scores of glutamic acid in saliva and IL-6 were the highest in all the variables， with importance scores of 0.081 and 0.080， respectively. After screening out 14 key variables and optimizing the parameters， model performance improved to an average accuracy of 0.758 and an F1 score of 0.798. Feature importance analysis further determined that the glutamic acid in saliva and IL-6 showed obvious changes after screening the variables， confirming the good syndrome prediction ability of the model constructed by these key clinical biomarkers. ConclusionThis study systematically elucidates the correlation between syndrome improvement and clinical biomarkers of Huanglian Jiedu Wan in the treatment of "excess heat-toxicity" syndrome. An XGBoost classification model based on key clinical biomarkers is successfully established， achieving effective prediction of the symptoms related to the "excess heat-toxicity" syndrome such as oral ulcers and sore throat and providing a new insight for objective identification of traditional Chinese medicine syndromes.

Objective This study reports on the obligatory parasitism of water mites Arrenurus sp. on Anopheles messeae at the Manzhouli Port, Inner Mongolia, China. Methods Duing July 2024, a survey on the mosquito diversity was conducted at the Manzhouli Port. Captured mosquitoes and their ectoparasites were identified to species level. Results A total of 1840 adult mosquitoes were collected, representing species from three genera: Culex(Cx. modestus, Cx. pipiens pallens), Aedes(Ae. dorsalis, Ae. flavidorsalis, Ae. flavescens), and Anopheles (An. messeae). Among all the mosqutioes specimens,3 out of 150 captured An. messeae were found to carry ectoparasitic mites, with number of 2,4,27 mites separately. Morphological and molecular identification reached the same result as water mites(Hydrachnidiae, Hydracrina). COI gene sequence showed 94% similarity with the closest species Arrenurus truncatellus. Conlusions Literature review suggests water mites are host-specific parasitism of mosquito species and herein with the first record of Arrenurus sp. parasiting on An. Messeae in the most high-latitude region globally.

ObjectiveTo investigate the repair effects of Zhengan Xifengtang on intestinal mucosal barrier in spontaneously hypertensive rats （SHRs） through the pathways of farnesoid X receptor （FXR）-myosin light chain kinase （MLCK）/phosphorylated myosin light chain （p-MLC） and its potential mechanism. MethodsForty 10-week-old male SHRs were randomly divided into model group， amlodipine besylate group （0.5 mg·kg^-1·d^-1）， and high， middle and low dose groups of Zhengan Xifengtang （34.5， 17.25， 8.625 g·kg^-1·d^-1）； eight age-matched male Wistar-Kyoto （WKY） rats of the same origin served as the normal control group. Drug intervention was carried out for 8 weeks， and the blood pressure of the rats was measured regularly. After the intervention， the rats were euthanized to collect tissue samples. Hematoxylin and eosin （HE） staining and Alcian blue-periodic acid-Schiff （AB-PAS） staining were used to evaluate the pathological morphology and the number of goblet cells in colonic mucosa. Enzyme-linked immunosorbent assay （ELISA） was employed to measure plasma lipopolysaccharide （LPS） and diamine oxidase （DAO） levels in each group of rats. Immunofluorescence （IF） assay was used to detect the relative fluorescence intensity of FXR and p-MLC in colonic tissue. Western blot was used to detect the zonula occludens-1 （ZO-1）， Occludin， Claudin-1， junctional adhesion molecule-1 （JAM-1）， mucin-2 （MUC2）， FXR， MLCK， and p-MLC protein expression in colon tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect mRNA expression levels of ZO-1， Occludin， Claudin-1， JAM-1， MUC2， FXR， MLCK， and MLC in colon tissue. ResultsCompared with the normal group， the blood pressure in the model group increased significantly （P<0.01）， the colonic mucosal structure was seriously damaged， and the number of goblet cells decreased significantly. The contents of LPS and DAO increased significantly （P<0.01）， the relative fluorescence intensity of FXR in colon decreased， while that of p-MLC increased （P<0.01）. The protein and mRNA expressions of ZO-1， Claudin-1， JAM-1， Occludin， MUC2 and FXR decreased significantly （P<0.01）， whereas the protein expression of MLCK and p-MLC increased significantly （P<0.01）. Additionally， the mRNA expression of MLCK and MLC increased significantly （P<0.01）. Compared with the model group， the Zhengan Xifengtang groups at various dosages and the amlodipine besylate group showed significantly reduced blood pressure （P<0.01）. The damage of colonic mucosa structure was alleviated， the infiltration of inflammatory cells decreased， and the number of goblet cells increased. LPS and DAO levels were decreased （P<0.05， P<0.01）. In the colon， the relative fluorescence intensity of FXR increased， while that of p-MLC decreased （P<0.05， P<0.01）. The protein and mRNA expression levels of ZO-1， Claudin-1， JAM-1， Occludin， and FXR increased significantly （P<0.05， P<0.01）， while the protein expression of MLCK and p-MLC decreased significantly （P<0.05， P<0.01）. Furthermore， the mRNA expression of MLCK and MLC decreased significantly （P<0.05， P<0.01）， and the protein expression of MUC2 increased significantly （P<0.05， P<0.01）. The expression of MUC2 mRNA in each dose group of Zhengan Xifengtang increased significantly （P<0.05， P<0.01）. ConclusionZhengan Xifengtang may regulate the FXR-MLCK/p-MLC signaling pathway and enhance the expression of tight junction protein， thereby reducing intestinal mucosal permeability， promoting mucosal barrier repair， decreasing LPS release into the blood， and ultimately lowering blood pressure.

ObjectiveTo investigate the repair effects of Zhengan Xifengtang on intestinal mucosal barrier in spontaneously hypertensive rats （SHRs） through the pathways of farnesoid X receptor （FXR）-myosin light chain kinase （MLCK）/phosphorylated myosin light chain （p-MLC） and its potential mechanism. MethodsForty 10-week-old male SHRs were randomly divided into model group， amlodipine besylate group （0.5 mg·kg^-1·d^-1）， and high， middle and low dose groups of Zhengan Xifengtang （34.5， 17.25， 8.625 g·kg^-1·d^-1）； eight age-matched male Wistar-Kyoto （WKY） rats of the same origin served as the normal control group. Drug intervention was carried out for 8 weeks， and the blood pressure of the rats was measured regularly. After the intervention， the rats were euthanized to collect tissue samples. Hematoxylin and eosin （HE） staining and Alcian blue-periodic acid-Schiff （AB-PAS） staining were used to evaluate the pathological morphology and the number of goblet cells in colonic mucosa. Enzyme-linked immunosorbent assay （ELISA） was employed to measure plasma lipopolysaccharide （LPS） and diamine oxidase （DAO） levels in each group of rats. Immunofluorescence （IF） assay was used to detect the relative fluorescence intensity of FXR and p-MLC in colonic tissue. Western blot was used to detect the zonula occludens-1 （ZO-1）， Occludin， Claudin-1， junctional adhesion molecule-1 （JAM-1）， mucin-2 （MUC2）， FXR， MLCK， and p-MLC protein expression in colon tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect mRNA expression levels of ZO-1， Occludin， Claudin-1， JAM-1， MUC2， FXR， MLCK， and MLC in colon tissue. ResultsCompared with the normal group， the blood pressure in the model group increased significantly （P<0.01）， the colonic mucosal structure was seriously damaged， and the number of goblet cells decreased significantly. The contents of LPS and DAO increased significantly （P<0.01）， the relative fluorescence intensity of FXR in colon decreased， while that of p-MLC increased （P<0.01）. The protein and mRNA expressions of ZO-1， Claudin-1， JAM-1， Occludin， MUC2 and FXR decreased significantly （P<0.01）， whereas the protein expression of MLCK and p-MLC increased significantly （P<0.01）. Additionally， the mRNA expression of MLCK and MLC increased significantly （P<0.01）. Compared with the model group， the Zhengan Xifengtang groups at various dosages and the amlodipine besylate group showed significantly reduced blood pressure （P<0.01）. The damage of colonic mucosa structure was alleviated， the infiltration of inflammatory cells decreased， and the number of goblet cells increased. LPS and DAO levels were decreased （P<0.05， P<0.01）. In the colon， the relative fluorescence intensity of FXR increased， while that of p-MLC decreased （P<0.05， P<0.01）. The protein and mRNA expression levels of ZO-1， Claudin-1， JAM-1， Occludin， and FXR increased significantly （P<0.05， P<0.01）， while the protein expression of MLCK and p-MLC decreased significantly （P<0.05， P<0.01）. Furthermore， the mRNA expression of MLCK and MLC decreased significantly （P<0.05， P<0.01）， and the protein expression of MUC2 increased significantly （P<0.05， P<0.01）. The expression of MUC2 mRNA in each dose group of Zhengan Xifengtang increased significantly （P<0.05， P<0.01）. ConclusionZhengan Xifengtang may regulate the FXR-MLCK/p-MLC signaling pathway and enhance the expression of tight junction protein， thereby reducing intestinal mucosal permeability， promoting mucosal barrier repair， decreasing LPS release into the blood， and ultimately lowering blood pressure.

The sensitive scalp is a complex syndrome characterised by abnormal nerve sensations, such as stinging, itching, burning, and tightness, and diminished tolerance to physical or chemical stimuli that would not typically cause such unpleasant responses, with its pathology involving physical barrier destruction at the stratum corneum level, neural hyperreactivity and sensory nerve sensitization, and local immunological dysregulation and chronic low‑grade inflammation. The homeostasis of the scalp microenvironment plays a crucial regulatory role in maintaining the hair follicle growth cycle, yet this “soil” factor has long been underappreciated in hair loss research, which has traditionally centered on intrinsic follicular defects, such as genetic predisposition or androgen-driven mechanisms. In this review, we summarized the potential mechanisms underlying the imbalance in the “barrier-neural-immune” network in sensitive scalps. Sensitive scalp is further manifested as impaired skin barrier, including increased transepidermal water loss and abnormal lipid secretion. These alterations are accompanied by increased surface pH, excessive secretion of sebum rich in free fatty acids, reduced microbial diversity, and dysbiosis characterized by a reduction in Cutibacterium and an increase in Staphylococcus colonization. Mechanistically, we also analyzed how neurogenic inflammation, mediated by substances such as substance P (SP) and calcitonin gene-related peptide (CGRP), along with persistent low-grade inflammation, disrupts the microenvironment of the hair follicle stem cell niche through mechanisms involving mechanosensitive ion channels (e.g., Piezo1), oxidative stress, and cytokine cascades. When the barrier is compromised, the weakened stratum corneum may facilitate the penetration of external stimuli, sensitizing cutaneous nerve endings. Those hyperresponsive nerves then fire off neuropeptides like substance P and CGRP. These peptides activate mast cells and other immune cells via the MrgprB2 receptor, prompting degranulation and a wave of pro-inflammatory mediators that kick off neurogenic inflammation. At the same time, oxidative stress and inflammatory cytokines drive a persistent low-grade inflammation that directly damages the hair follicle stem cell niche. Physical compression from shrinking hair shafts activates Piezo1 channels, setting off calcium influx and Caspase‑3‑dependent apoptotic signaling. We primarily considered the interactions between inflammatory signaling and the sensitization of the androgen receptor (AR) pathway, as well as the inhibition of the Wnt/β‑catenin pathway, which may subsequently contribute to hair follicle miniaturization and disruption of the growth cycle. The inflammatory microenvironment appears to boost AR expression in dermal papilla cells, making them more sensitive to dihydrotestosterone (DHT). This heightened sensitivity may promote the expression of transforming growth factor-β1 (TGF-β1), TGF-β2, and Dickkopf-1 (DKK1), which suppress the Wnt/β‑catenin pathway—essential for follicle growth and regeneration—potentially accelerating follicular miniaturization and stalling the growth cycle. Coupled with direct inflammatory apoptosis, oxidative stress, and circadian disruption, these routes may collectively speed up hair follicle stem cell depletion and diffuse hair thinning. These findings point to the need for more mechanistic and translational research to test the proposed pathways and explore therapies that target the microenvironment in sensitive scalp-related hair loss. Ultimately, we hope to provide theoretical support for the intervention of hair loss by restoring the steady state of the scalp microenvironment and combining with new precision delivery technologies such as microneedles.

Adipose tissue is a critical energy reservoir in animals and humans, with multifaceted roles in endocrine regulation, immune response, and providing mechanical protection. Based on anatomical location and functional characteristics, adipose tissue can be categorized into distinct types, including white adipose tissue (WAT), brown adipose tissue (BAT), beige adipose tissue, and pink adipose tissue. Traditionally, adipose tissue research has centered on its morphological and functional properties as a whole. However, with the advent of single-cell transcriptomics, a new level of complexity in adipose tissue has been unveiled, showing that even under identical conditions, cells of the same type may exhibit significant variation in morphology, structure, function, and gene expression——phenomena collectively referred to as cellular heterogeneity. Single-cell transcriptomics, including techniques like single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq), enables in-depth analysis of the diversity and heterogeneity of adipocytes at the single-cell level. This high-resolution approach has not only deepened our understanding of adipocyte functionality but also facilitated the discovery of previously unidentified cell types and gene expression patterns that may play key roles in adipose tissue function. This review delves into the latest advances in the application of single-cell transcriptomics in elucidating the heterogeneity and diversity within adipose tissue, highlighting how these findings have redefined the understanding of cell subpopulations within different adipose depots. Moreover, the review explores how single-cell transcriptomic technologies have enabled the study of cellular communication pathways and differentiation trajectories among adipose cell subgroups. By mapping these interactions and differentiation processes, researchers gain insights into how distinct cellular subpopulations coordinate within adipose tissues, which is crucial for maintaining tissue homeostasis and function. Understanding these mechanisms is essential, as dysregulation in adipose cell interactions and differentiation underlies a range of metabolic disorders, including obesity and diabetes mellitus type 2. Furthermore, single-cell transcriptomics holds promising implications for identifying therapeutic targets; by pinpointing specific cell types and gene pathways involved in adipose tissue dysfunction, these technologies pave the way for developing targeted interventions aimed at modulating specific adipose subpopulations. In summary, this review provides a comprehensive analysis of the role of single-cell transcriptomic technologies in uncovering the heterogeneity and functional diversity of adipose tissues.

Objective: This study aims to investigate the anatomical relationship among the nerve roots, intervertebral space, pedicles, and intradural rootlets of the cervical spine for improving operative outcomes and exploring neuroventral decompression approach in posterior endoscopic cervical discectomy (PECD). Methods: Cervical computed tomography myelography imaging data from January 2021 to May 2023 were collected, and the RadiAnt DICOM Viewer Software was employed to conduct multiplane reconstruction. The following parameters were recorded: width of nerve root (WN), nerve root-superior pedicle distance (NSPD), nerve root-inferior pedicle distance (NIPD), and the relationship between the intervertebral space and the nerve root (shoulder, anterior, and axillary). Additionally, the descending angles between the spinal cord and the ventral (VRA) and dorsal (DRA) rootlets were measured. Results: The WN showed a gradual increase from C4 to C7, with measurements notably larger in men compared to women. The NSPD decreased gradually from the C2–3 to the C5–6 levels. However, the NIPD showed an opposite level-related change, notably larger than the NSPD at the C4–5, C5–6, and C7–T1 levels. Furthermore, significant differences in NIPD were observed between different age groups and genders. The incidence of the anterior type exhibited a gradual decrease from the C2–3 to the C5–6 levels. Conversely, the axillary type exhibited an opposite level-related change. Additionally, the VRA and DRA decreased as the level descended, with measurements significantly larger in females. Conclusion A prediction of the positional relationship between the intervertebral space and the nerve root is essential for the direct neuroventral decompression in PECD to avoid damaging the neural structures. The axillary route of the nerve root offers a safer and more effective pathway for performing direct neuroventral decompression compared to the shoulder approach.

Radiogenomics, an extension of radiomics, explores the relationship between imaging features and underlying gene expression patterns. This field is instrumental in providing reliable imaging surrogates, thus potentially representing an alternative to genetic testing. The rapidly growing area of radiogenomics that utilizes ultrasound (US) imaging seeks to elucidate the connections between US image characteristics and genomic data. In this review, the authors outline the radiogenomics workflow and summarize the applications of US-based radiogenomics. These include the prediction of gene variations, molecular subtypes, and other biological characteristics, as well as the exploration of the relationships between US phenotypes and cancer gene profiles. Although the field faces various challenges, US-based radiogenomics offers promising prospects and avenues for future research.