Through data collection and collation combined with bibliometrics， this study conducted a series of textual research on Yanghetang， such as the name and origin， the evolution of prescription composition and modern clinical application. Yanghetang was first recorded in Bencao Yidu of WANG Ang in the Qing dynasty. In addition to Yanghetang， there were 3 bynames of Jiawei Yanghetang， Quanshengji Yanghetang and Zhenjun Yanghetang. Regarding the composition of the formula， a total of 4 versions of Yanghetang were collected. The first version is the 5 medicines version of Cervi Cornus Colla， Rehmanniae Radix Praeparata， Cinnamomi Cortex， Zingiberis Rhizoma and Ephedrae Herba in Bencao Yidu. The second version is the 7 medicines version of Waike Zhengzhi Quanshengji， changing Zingiberis Rhizoma to Zingiberis Rhizoma Praeparatum Carbonisata（ZRPC） and adding Sinapis Semen and Glycyrrhizae Radix et Rhizoma（GRR） on the basis of Bencao Yidu， and most of the Yanghetang is of this version. The third version is the 6 medicines version of Wushi Yifang Huibian， that is， on the basis of Bencao Yidu， Zingiberis Rhizoma is changed into ZRPC， and Sinapis Semen is added. The fourth version is the 6 medicines version in Yifang Jiedu， that is， on the basis of Bencao Yidu， Zingiberis Rhizoma is changed into Zingiberis Rhizoma Praeparatum， and GRR Praeparata cum Melle is added. Regarding the dose of Yanghetang， the doses of the medicines in Waike Zhengzhi Quanshengji was converted into the modern doses as follows：37.3 g of Rehmanniae Radix Praeparata， 1.87 g of Ephedrae Herba， 11.19 g of Cervi Cornus Colla， 7.46 g of Sinapis Semen， 3.73 g of Cinnamomi Cortex， 3.73 g of GRR， and 1.87 g of ZRPC. The origins of the above medicines are consistent with the 2020 edition of Chinese Pharmacopoeia. The processing specification of Rehmanniae Radix Praeparata is steaming method， ZRPC is ginger charcoal， Sinapis Semen is the fried products， and the rest of the medicines are raw products. The decoction method was verified by the decoction method in Chonglou Yuyao， which is similar in the time， and it is recommended that the above medicines should be added with 600 mL of water， decocted to 100 mL， and taken warmly 30 min after meal. For each dose， it is recommended to use 1-3 doses per day according to the doctor's advice in combination with clinical practice. The diseases involved in the ancient applications involved 42 diseases in 11 departments， including orthopedics， dermatology and gynecology， which were dominated by Yin-cold syndrome. However， the diseases involved in modern research also include 148 related diseases in 10 departments， such as orthopedics， obstetrics and gynecology， which is consistent with the ancient books. In recent years， the research hotspots of Yanghetang have focused on more than 10 fields， including osteoblasts， malignant tumors， wound healing， traditional Chinese medicine fumigation and so on， which are widely used. It is suitable for comprehensive research and development because of its rational formula composition， clear origin， processing and decoction method， and wide clinical application.

In this study， bibliometric methods were used to systematically investigate the name and origin， the evolution of prescription composition， dose evolution， origin and processing method， decoction method， ancient application， modified application， modern application and other information of Huoxiang Zhengqisan. After research， Huoxiang Zhengqisan， also known as Huoxiang Zhengqitang， was first recorded in Taiping Huimin Hejijufang. The original formula is composed of 41.3 g of Arecae Pericarpium， 41.3 g of Angelicae Dahuricae Radix， 41.3 g of Perilla frutescens（actually Perillae Folium）， 41.3 g of Poria， 82.6 g of Pinelliae Rhizoma， 82.6 g of Atractylodis Macrocephalae Rhizoma， 82.6 g of Citri Reticulatae Pericarpium（actually Citri Exocarpium Rubbum）， 82.6 g of Magnoliae Officinalis Cortex， 82.6 g of Platycodonis Radix， 123.9 g of Pogostemonis Herba， and 103.25 g of Glycyrrhizae Radix et Rhizoma. In this formula， Magnoliae Officinalis Cortex is processed according to the specifications for ginger-processed products， Glycyrrhizae Radix et Rhizoma is processed according to the specifications for stir-fried products， and other herbs are used in their raw products. The botanical sources of the herbs are consistent with the 2020 edition of Pharmacopoeia of the People's Republic of China. The above herbs are ground into a fine powder with a particle size passing through a No. 5 sieve. For each dose， take 8.26 g of the powdered formula， add 300 mL of water， along with 3 g of Zingiberis Rhizoma Recens and 3 g of Jujubae Fructus， and decoct until reduced to 140 mL. The decoction should be administered hot， with three times daily. To induce sweating， the patient should be kept warm under a quilt， and an additional dose should be prepared and taken if needed. This formula is traditionally used to relieve the exterior and resolve dampness， regulate Qi and harmonize the middle， which is mainly used to treat a series of diseases of digestive and respiratory systems. However， potential adverse reactions， including allergies， purpura and disulfiram-like reactions， should be considered during clinical use. Huoxiang Zhengqisan features a rational composition， extensive clinical application， and strong potential for further research and development.

In this study， bibliometric methods were used to systematically investigate the name and origin， the evolution of prescription composition， dose evolution， origin and processing method， decoction method， ancient application， modified application， modern application and other information of Huoxiang Zhengqisan. After research， Huoxiang Zhengqisan， also known as Huoxiang Zhengqitang， was first recorded in Taiping Huimin Hejijufang. The original formula is composed of 41.3 g of Arecae Pericarpium， 41.3 g of Angelicae Dahuricae Radix， 41.3 g of Perilla frutescens（actually Perillae Folium）， 41.3 g of Poria， 82.6 g of Pinelliae Rhizoma， 82.6 g of Atractylodis Macrocephalae Rhizoma， 82.6 g of Citri Reticulatae Pericarpium（actually Citri Exocarpium Rubbum）， 82.6 g of Magnoliae Officinalis Cortex， 82.6 g of Platycodonis Radix， 123.9 g of Pogostemonis Herba， and 103.25 g of Glycyrrhizae Radix et Rhizoma. In this formula， Magnoliae Officinalis Cortex is processed according to the specifications for ginger-processed products， Glycyrrhizae Radix et Rhizoma is processed according to the specifications for stir-fried products， and other herbs are used in their raw products. The botanical sources of the herbs are consistent with the 2020 edition of Pharmacopoeia of the People's Republic of China. The above herbs are ground into a fine powder with a particle size passing through a No. 5 sieve. For each dose， take 8.26 g of the powdered formula， add 300 mL of water， along with 3 g of Zingiberis Rhizoma Recens and 3 g of Jujubae Fructus， and decoct until reduced to 140 mL. The decoction should be administered hot， with three times daily. To induce sweating， the patient should be kept warm under a quilt， and an additional dose should be prepared and taken if needed. This formula is traditionally used to relieve the exterior and resolve dampness， regulate Qi and harmonize the middle， which is mainly used to treat a series of diseases of digestive and respiratory systems. However， potential adverse reactions， including allergies， purpura and disulfiram-like reactions， should be considered during clinical use. Huoxiang Zhengqisan features a rational composition， extensive clinical application， and strong potential for further research and development.

Lianggesan was first recorded in Taiping Huimin Heji Jufang， which was composed of Rhei Radix et Rhizoma， Natrii Sulfas， Gardeniae Fructus， Forsythiae Fructus， Scutellariae Radix， Glycyrrhizae Radix et Rhizoma（GRR）， Menthae Haplocalycis Herba， Lophatheri Herba and Mel. It was clinically applied to treat fire-heat syndrome in the upper and middle Jiao， and the curative effect was positive. In this study， the bibliometric method was used to conduct a detailed textual research on the formula name， medicinal composition， dosage evolution， origin and processing， functional indications and other aspects of Lianggesan. Research revealed that Lianggesan has six other names， such as Lianqiao Yinzi， Lianqiao Jiedusan， Jufang Lianggesan， Jiegu Lianggesan， Hejian Lianggesan and Qingji Lianggesan. Based on the edition of Taiping Huimin Heji Jufang， an analysis of the evolution of its formula composition revealed that the missing Chinese medicines were predominantly bamboo leaves and honey， while the added Chinese medicines were primarily supplements introduced to address changes in disease manifestations. After textual research， the dosage for one dose of Lianggesan from Taiping Huimin Heji Jufang was as follows：826 g of Rhei Radix et Rhizoma， 826 g of Natrii Sulfas， 826 g of GRR， 413 g of Gardeniae Fructus， 413 g of Menthae Haplocalycis Herba， 413 g of Scutellariae Radix， and 1652 g of Forsythiae Fructus. Decocting method was as following：Grinding the Chinese medicines into coarse powder（2-4 mm）， taking 8.16 g per dose， adding 300 mL of water， along with 2 g of Lophatheri Herba and 5 g of Mel， and decocting to 140 mL. The residue was removed and taken warmly 30 min after meals. It was recommended to take it three times daily until improvement was achieved. The origins of the 9 Chinese medicines were consistent with the 2020 edition of Pharmacopoeia of the People's Republic of China. Except for GRR， which required single frying（stir-frying）， the remaining medicines were all raw products. The description of the function of this formula in ancient books was summarized as purging fire and promoting bowel movements， clearing heat from the upper body and purging the lower body， and the main syndromes included facial redness， tongue swelling， red eyes， etc. In modern applications， the formula is primarily used for respiratory and digestive system diseases， including acute lung injury， chronic obstructive pulmonary disease， herpetic angina and aphthous stomatitis， covering 142 types of diseases. In summary， this paper can provide a basis for further research and development of Lianggesan through the literature review and key information combing.

OBJECTIVE: To screen the population for acupuncture treatment of neck pain, using functional magnetic resonance imaging (fMRI) technology and based on machine learning algorithms. METHODS: Eighty patients with neck pain were recruited. Using FPX25 handheld pressure algometer, the tender points were detected in the areas with high-frequent onset of neck pain and high degree of acupoint sensitization. Acupuncture was delivered at 4 tender points with the lowest pain threshold, once every two days; and the treatment was given 3 times a week and for 2 consecutive weeks. The amplitude of low-frequency fluctuation (ALFF) of the brain before treatment was taken as a predictive feature to construct support vector machine (SVM), logistic regression (LR), and K-nearest neighbors (KNN) models to predict the responses of neck pain patients to acupuncture treatment. A longitudinal analysis of the ALFF features was performed before and after treatment to reveal the potential biological markers of the reactivity to the acupuncture therapy. RESULTS: The SVM model could successfully distinguish high responders (48 cases) and low responders (32 cases) to acupuncture treatment, and its accuracy rate reached 82.5%. Based on the SVM model, the ALFF values of 4 brain regions were identified as the consistent predictive features, including the right middle temporal gyrus, the right superior occipital gyrus, and the bilateral posterior cingulate gyrus. In the patients with high acupuncture response, the ALFF value in the left posterior cingulate gyrus decreased after treatment (P<0.05), whereas in the patients with low acupuncture response, the ALFF value in the right superior occipital gyrus increased after treatment (P<0.01). The longitudinal functional connectivity (FC) analysis found that compared with those before treatment, the high responders showed the enhanced FC after treatment between the left posterior cingulate gyrus and various regions, including the bilateral Crus1 of the cerebellum, the right insula, the bilateral angular gyrus, the left medial superior frontal gyrus, and the left middle cingulate gyrus (GRF: corrected, voxel level: P<0.05, mass level: P<0.05). In contrast, the low responders exhibited the enhanced FC between the left posterior cingulate gyrus and the left Crus2 of the cerebellum, the left middle temporal gyrus, the right posterior cingulate gyrus, and the left angular gyrus; besides, FC was reduced in low responders between the left posterior cingulate gyrus and the right supramarginal gyrus (GRF: corrected, voxel level: P<0.05, mass level: P<0.05). CONCLUSION This study validates the practicality of pre-treatment ALFF feature prediction for acupuncture efficacy on neck pain. The therapeutic effect of acupuncture on neck pain is potentially associated with its impact on the default mode network, and then, alter the pain perception and emotional regulation.
Humans ; Neck Pain/physiopathology* ; Acupuncture Therapy ; Female ; Male ; Adult ; Middle Aged ; Machine Learning ; Magnetic Resonance Imaging ; Young Adult ; Brain/physiopathology* ; Acupuncture Points ; Aged

Recent advances in large models demonstrate significant prospects for transforming the field of medical imaging. These models, including large language models, large visual models, and multimodal large models, offer unprecedented capabilities in processing and interpreting complex medical data across various imaging modalities. By leveraging self-supervised pretraining on vast unlabeled datasets, cross-modal representation learning, and domain-specific medical knowledge adaptation through fine-tuning, large models can achieve higher diagnostic accuracy and more efficient workflows for key clinical tasks. This review summarizes the concepts, methods, and progress of large models in medical imaging, highlighting their potential in precision medicine. The article first outlines the integration of multimodal data under large model technologies, approaches for training large models with medical datasets, and the need for robust evaluation metrics. It then explores how large models can revolutionize applications in critical tasks such as image segmentation, disease diagnosis, personalized treatment strategies, and real-time interactive systems, thus pushing the boundaries of traditional imaging analysis. Despite their potential, the practical implementation of large models in medical imaging faces notable challenges, including the scarcity of high-quality medical data, the need for optimized perception of imaging phenotypes, safety considerations, and seamless integration with existing clinical workflows and equipment. As research progresses, the development of more efficient, interpretable, and generalizable models will be critical to ensuring their reliable deployment across diverse clinical environments. This review aims to provide insights into the current state of the field and provide directions for future research to facilitate the broader adoption of large models in clinical practice.
Humans ; Diagnostic Imaging/methods* ; Precision Medicine/methods* ; Image Processing, Computer-Assisted/methods*

Most cancers are currently incurable, partly due to abnormal post-translational modifications (PTMs). In this study, we initially used multiple myeloma (MM) as a working model and found that SUMOylation activating enzyme subunit 1 (SAE1) promotes the malignancy of MM. Through proteome microarray analysis, SAE1 was identified as a potential target for bioactive colcemid or its derivative colchicine. Elevated levels of SAE1 were associated with poor clinical survival and increased MM proliferation in vitro and in vivo. Additionally, SAE1 directly SUMOylated and upregulated the total protein expression of p27, leading to LLPS-mediated nuclear export of p27. Our study also demonstrated the involvement of SAE1 in other types of cancer cells, and provided the first monomer crystal structure of SAE1 and its key binding model with colchicine. Colchicine also showed promising results in the Patient-Derived Tumor Xenograft (PDX) model. Furthermore, a controlled clinical trial with 56 MM patients demonstrated the clinical efficacy of colchicine. Our findings reveal a novel mechanism by which tumor cells evade p27-induced cellular growth arrest through p27 SUMOylation-mediated nuclear export. SAE1 may serve as a promising therapeutic target, and colchicine may be a potential treatment option for multiple types of cancer in clinical settings.

Objective To explore the significance of interleukin-17C(IL-17C)-mediated follicular helper T cell (Tfh) differentiation in atopic dermatitis (AD) model. Methods BALB/c mice were divided into control group, AD model group, low-dose MOR106 (anti-IL-17C huIgG1)(MDR106-L)treatment group and high-dose MOR106 (MOR106-H) treatment group, 8 mice in each group. Except for the control group, all the other groups were treated with 2, 4- dinitrochlorobenzene (DNCB) to establish AD models. The low-dose and high-dose MOR106 groups were treated with 5 mg/kg or 10 mg/kg MOR106 respectively. The differentiation of Tfh cell subsets in peripheral blood of mice was analyzed by flow cytometry, and the expression of Janus kinase 2/signal transducer and activator of transcription 3(JAK2/STAT3) signal pathway protein in skin tissue was detected by Western blot analysis. Results Compared with the control group, the dermatitis severity score, mass difference between two ears, spleen mass and spleen index of DNCB group increased significantly, while those of MOR106-L group and MOR106-H group decreased significantly. Compared with the control group, the Tfh subgroup of AD mice showed deregulated differentiation, resulting in a significant increase in the percentage of CD4⁺CXCR5⁺IFN-γ⁺Tfh1 cells, CD4⁺CXCR5⁺IL-17A⁺Tfh17 and CD4⁺CXCR5⁺IL-21⁺Tfh21 cells, and a significant decrease in the percentage of CD4⁺CXCR5⁺IL-10⁺Tfh10 cells and CD4⁺CXCR5⁺FOXP3⁺Tfr cells in peripheral blood. The protein levels of phosphorylated JAK2(p-JAK2) and p-STAT3 were significantly increased. MOR106 effectively reversed these changes of Tfh1, Tfh10, Tfh17, Tfh21 and Tfr cells in peripheral blood of AD mice. Compared with AD group, the levels of p-JAK2 and p-STAT3 protein in low-dose and high-dose MOR106 treatment groups decreased significantly. Conclusion MOR106 can reduce the inflammatory response of AD mice by blocking JAK2/STAT3 signaling pathway and inhibiting the differentiation of Tfh cells mediated by IL-17C.
Animals ; Mice ; Dermatitis, Atopic/drug therapy* ; Interleukin-17 ; T Follicular Helper Cells ; Janus Kinase 2 ; Dinitrochlorobenzene ; Inflammation ; Cell Differentiation ; Signal Transduction

OBJECTIVE To provide a reference for medical staff to timely identify and treat perinatal anaphylactic shock. METHODS The clinical pharmacists participated in the rescue process of anaphylactic shock caused by esketamine during cesarean section anesthesia in a full-term pregnant patient at the Department of Obstetrics and Gynecology of Sichuan Provincial Maternity and Child Health Care Hospital. By consulting the relevant drug instructions and searching the relevant literature， clinical pharmacists assisted physicians in identifying anaphylactic shock and amniotic fluid embolism， analyzing the correlation between the drugs used and adverse reactions， and providing medication education. RESULTS The patient developed hypoxemia and hypotension after anesthesia， and there was no coagulation dysfunction. After symptomatic treatment with adrenaline， the condition rapidly improved， so it was diagnosed as anaphylactic shock. Based on the patient’s medication use and the characteristics of adverse reactions， combined with the National Adverse Drug Reaction Monitoring Center’s criteria for determining the association between drugs and adverse reactions and Naranjo’s evaluation scale， it was comprehensively determined that the suspected allergenic drug causing anaphylactic shock was esketamine. The clinical pharmacist informed the patient that she must inform the physician of the relevant medications for this severe allergic reaction during her later visits. The patient recovered and was discharged on the 6th day after cesarean section. CONCLUSIONS The clinical manifestations of anaphylactic shock and amniotic fluid embolism are similar， and careful differentiation is needed in clinical practice； if a patient experiences a systemic allergic reaction caused by drugs， the suspected drugs should be stopped promptly and effective symptomatic treatment should be taken immediately to delay or terminate disease progression and ensure the patient’s life safety.