Ulcerative colitis （UC）， a chronic， non-specific inflammatory bowel disease with typical symptoms such as abdominal pain， diarrhea， and bloody stools， demonstrates a high relapse rate and difficulty in curing. Sishenwan， first recorded in Internal Medicine Abstract （Nei Ke Zhai Yao）， are a classic prescription for treating diarrhea caused by deficiency of the spleen and kidney Yang. The core therapeutic principle of Sishenwan is warming and tonifying the spleen and kidney， and astringing the intestine and stopping diarrhea. In recent years， Sishenwan have demonstrated distinct advantages in the clinical treatment of UC. The pathogenesis of UC involves multiple factors， including immune dysregulation and gut microbiota imbalance. Although Western medicine is effective in the short term， its side effects， high relapse rate， and resistance associated with long-term use pose substantial challenges. Sishenwan have shown excellent clinical outcomes in the treatment of UC due to deficiency of the spleen and kidney Yang. Modern clinical studies indicate that Sishenwan， used alone or in combination with Western medicine or other Chinese medicine compound prescriptions， significantly improve the clinical efficacy in treating UC due to deficiency of the spleen and kidney Yang. Sishenwan effectively alleviate core symptoms such as mucus， pus， and blood in stools， and persistent abdominal pain， reduce Mayo scores and the relapse rate， and improve patients' quality of life. Research on the material basis reveals that Sishenwan contain multiple active ingredients such as psoralen， isopsoralen， and evodiamine. Mechanism studies indicate that Sishenwan inhibit the inflammatory cascade reactions by regulating the signal network through multiple targets. Sishenwan regulate cellular immunity and restore intestinal immune homeostasis. At the microecological level， Sishenwan promote the intestinal barrier repair through the "microbiota-metabolism-immunity" axis. The current research still needs to be deepened in aspects such as the mining of specific biomarkers for syndromes and the exploration of the collaborative mechanism of traditional Chinese and Western medicine. In the future， a full-chain system covering syndrome differentiation， targeting， and monitoring needs to be constructed for promoting the paradigm transformation of Sishenwan into precision drugs. This review systematically explains the treatment mechanism of Sishenwan regarding the combination of disease and syndrome and its multi-target regulatory characteristics， providing a theoretical basis and transformation direction for the treatment of UC with integrated traditional Chinese and Western medicine.

Ulcerative colitis （UC）， a chronic， non-specific inflammatory bowel disease with typical symptoms such as abdominal pain， diarrhea， and bloody stools， demonstrates a high relapse rate and difficulty in curing. Sishenwan， first recorded in Internal Medicine Abstract （Nei Ke Zhai Yao）， are a classic prescription for treating diarrhea caused by deficiency of the spleen and kidney Yang. The core therapeutic principle of Sishenwan is warming and tonifying the spleen and kidney， and astringing the intestine and stopping diarrhea. In recent years， Sishenwan have demonstrated distinct advantages in the clinical treatment of UC. The pathogenesis of UC involves multiple factors， including immune dysregulation and gut microbiota imbalance. Although Western medicine is effective in the short term， its side effects， high relapse rate， and resistance associated with long-term use pose substantial challenges. Sishenwan have shown excellent clinical outcomes in the treatment of UC due to deficiency of the spleen and kidney Yang. Modern clinical studies indicate that Sishenwan， used alone or in combination with Western medicine or other Chinese medicine compound prescriptions， significantly improve the clinical efficacy in treating UC due to deficiency of the spleen and kidney Yang. Sishenwan effectively alleviate core symptoms such as mucus， pus， and blood in stools， and persistent abdominal pain， reduce Mayo scores and the relapse rate， and improve patients' quality of life. Research on the material basis reveals that Sishenwan contain multiple active ingredients such as psoralen， isopsoralen， and evodiamine. Mechanism studies indicate that Sishenwan inhibit the inflammatory cascade reactions by regulating the signal network through multiple targets. Sishenwan regulate cellular immunity and restore intestinal immune homeostasis. At the microecological level， Sishenwan promote the intestinal barrier repair through the "microbiota-metabolism-immunity" axis. The current research still needs to be deepened in aspects such as the mining of specific biomarkers for syndromes and the exploration of the collaborative mechanism of traditional Chinese and Western medicine. In the future， a full-chain system covering syndrome differentiation， targeting， and monitoring needs to be constructed for promoting the paradigm transformation of Sishenwan into precision drugs. This review systematically explains the treatment mechanism of Sishenwan regarding the combination of disease and syndrome and its multi-target regulatory characteristics， providing a theoretical basis and transformation direction for the treatment of UC with integrated traditional Chinese and Western medicine.

Parkinson's disease (PD) is a chronic neurodegenerative disease. At present, levodopa and other drugs are mainly used for dopamine supplementation therapy. However, the absorption of levodopa in the gastrointestinal tract is unstable and its half-life is short, and long-term use of levodopa will lead to the end-of-dose deterioration, dyskinesia, the "ON-OFF" phenomenon and other symptoms. Therefore, new preparations need to be developed to improve drug efficacy, reduce side effects or improve compliance of patients. Based on the above clinical needs, this review briefly introduced the preparation modification strategies for the treatment of PD through case analysis, in order to provide references for the research and development of related preparations.

The interaction between Mycobacterium tuberculosis and host, as well as the regulation of some signaling pathways in the host, were involved in pathogen latency in macrophages. microRNAs (miRNAs) regulate the gene expression and biological functions, indicating that miRNAs played a regulatory role in bacterial infections. However, whether the host's miRNAs were also involved in the process of Mycobacterium tuberculosis infection had not been thoroughly studied. This study infected macrophages with pathogenic Mycobacterium tuberculosis strain H37Rv and low virulence strain H37Ra to explore the functional miRNAs. By identifying the expression profile of miRNAs in host cells after infection, the expression of 17 miRNAs significantly changed (P < 0.05) in the human macrophage THP-1 infected with highly pathogenic H37Rv strain (Rv), H37Rv inactivated strain (Rv-), and non-pathogenic H37Ra (Ra) strains respectively, indicating that host miRNAs may be involved in the interaction of Mycobacterium tuberculosis and host. Meanwhile, 10 types of miRNAs showed significant differences in cells infected with pathogenic and non-pathogenic Mycobacterium tuberculosis, suggesting that host miRNAs may play an important role in the pathogenicity and intracellular survival of Mycobacterium tuberculosis. Further study had found that miR-449a, miR-502-5p, and miR-708 were downregulated in cells infected with Mycobacterium marinum. Overexpression of these three miRNAs displayed the significant inhibitory effect on the growth of Mycobacterium marinum, indicating that miRNAs played a pivotal role in the interaction between the host and Mycobacterium marinum. This study provided the new insights into the pathogenesis of Mycobacterium tuberculosis and the treatment of tuberculosis.

As the search for effective treatments for COVID-19 continues, the high mortality rate among critically ill patients in Intensive Care Units (ICU) presents a profound challenge. This study explores the potential benefits of traditional Chinese medicine (TCM) as a supplementary treatment for severe COVID-19. A total of 110 critically ill COVID-19 patients at the Intensive Care Unit (ICU) of Vulcan Hill Hospital between Feb., 2020, and April, 2020 (Wuhan, China) participated in this observational study. All patients received standard supportive care protocols, with a subset of 81 also receiving TCM as an adjunct treatment. Clinical characteristics during the treatment period and the clinical outcome of each patient were closely monitored and analysed. Our findings indicated that the TCM group exhibited a significantly lower mortality rate compared with the non-TCM group (16 of 81 vs 24 of 29; 0.3 vs 2.3 person/month). In the adjusted Cox proportional hazards models, TCM treatment was associated with improved survival odds (P < 0.001). Furthermore, the analysis also revealed that TCM treatment could partially mitigate inflammatory responses, as evidenced by the reduced levels of proinflammatory cytokines, and contribute to the recovery of multiple organic functions, thereby potentially increasing the survival rate of critically ill COVID-19 patients.
Humans ; COVID-19 ; Medicine, Chinese Traditional ; SARS-CoV-2 ; Critical Illness ; Treatment Outcome

Background::Erosive esophagitis (EE) is a gastroesophageal reflux disease characterized by mucosal breaks in the esophagus. Proton pump inhibitors are widely used as maintenance therapy for EE, but many patients still relapse. In this trial, we evaluated the noninferiority of vonoprazan vs. lansoprazole as maintenance therapy in patients with healed EE. Methods::We performed a double-blind, double-dummy, multicenter, phase 3 clinical trial among non-Japanese Asian adults with endoscopically confirmed healed EE from April 2015 to February 2019. Patients from China, South Korea, and Malaysia were randomized to vonoprazan 10 mg or 20 mg once daily or lansoprazole 15 mg once daily for 24 weeks. The primary endpoint was endoscopically confirmed EE recurrence rate over 24 weeks with a noninferiority margin of 10% using a two-sided 95% confidence interval (CI). Treatment-emergent adverse events (TEAEs) were recorded.Results::Among 703 patients, EE recurrence was observed in 24/181 (13.3%) and 21/171 (12.3%) patients receiving vonoprazan 10 mg or 20 mg, respectively, and 47/184 (25.5%) patients receiving lansoprazole (differences: -12.3% [95% CI, -20.3% to-4.3%] and -13.3% [95% CI, -21.3% to -5.3%], respectively), meeting the primary endpoint of noninferiority to lansoprazole in preventing EE recurrence at 24 weeks. Evidence of superiority (upper bound of 95% CI <0%) was also observed. At 12 weeks, endoscopically confirmed EE recurrence was observed in 5/18, 2/20, and 7/20 of patients receiving vonoprazan 10 mg, vonoprazan 20 mg, and lansoprazole, respectively. TEAEs were experienced by 66.8% (157/235), 69.0% (156/226), and 65.3% (158/242) of patients receiving vonoprazan 10 mg, vonoprazan 20 mg, and lansoprazole, respectively. The most common TEAE was upper respiratory tract infection in 12.8% (30/235) and 12.8% (29/226) patients in vonoprazan 10 mg and 20 mg groups, respectively and 8.7% (21/242) patients in lansoprazole group.Conclusion::Vonoprazan maintenance therapy was well-tolerated and noninferior to lansoprazole for preventing EE recurrence in Asian patients with healed EE.Trial Registration::https://clinicaltrials.gov; NCT02388737.

A a novel composite ZIF-8/MWCNT was synthesized by combining zeolitic imidazolate framework-8(ZIF-8)with multi-walled carbon nanotubes(MWCNT).The composite was modified on glassy carbon electrode(GCE)to obtain ZIF-8/MWCNT/GCE,which was served as an effective electrochemical sensor for detection of Pb2+ and Cd2+.Benefiting from the high electrical conductivity of MWCNT and the synergistic effect between ZIF-8 and MWCNT,ZIF-8/MWCNT showed excellent electrocatalytic activity in individual and simultaneous detection of Cd2+ and Pb2+.Under the optimized conditions,the linear ranges were 0.03?8.00 μmol/L and 0.03?6.00 μmol/L with corresponding limits of detection(S/N=3)of 0.019 and 0.035 μmol/L for individual detection of Cd2+and Pb2+,respectively.Whereas for simultaneous detection of Cd2+and Pb2+in their mixture solutions,the linear ranges were 0.03?5.00 μmol/L and 0.03?5.00 μmol/L with corresponding limits of detection(S/N=3)of 0.022 and 0.048 μmol/L,respectively.In addition,the sensor exhibited good stability,reproducibility and anti-interference ability.Moreover,the sensor showed good feasibility and accuracy for determination of Cd2+ and Pb2+ in actual river water samples with spiking recoveries of 98.1%?104.0%and 98.3%?102.2%,respectively.

Acceleration of tooth movement during orthodontic treatment is challenging,with osteoclast-mediated bone resorption on the compressive side being the rate-limiting step.Recent studies have demonstrated that mechanoreceptors on the surface of monocytes/macrophages,especially adhesion G protein-coupled receptors(aGPCRs),play important roles in force sensing.However,its role in the regulation of osteoclast differentiation remains unclear.Herein,through single-cell analysis,we revealed that CD97,a novel mechanosensitive aGPCR,was expressed in macrophages.Compression upregulated CD97 expression and inhibited osteoclast differentiation;while knockdown of CD97 partially rescued osteoclast differentiation.It suggests that CD97 may be an important mechanosensitive receptor during osteoclast differentiation.RNA sequencing analysis showed that the Rap1a/ERK signalling pathway mediates the effects of CD97 on osteoclast differentiation under compression.Consistently,we clarified that administration of the Rap1a inhibitor GGTI298 increased osteoclast activity,thereby accelerating tooth movement.In conclusion,our results indicate that CD97 suppresses osteoclast differentiation through the Rap1a/ERK signalling pathway under orthodontic compressive force.

Objective As primary Sj?gren's syndrome(pSS)primarily affects the salivary glands,saliva can serve as an indicator of the glands'pathophysiology and the disease's status.This study aims to illustrate the salivary proteomic profiles of pSS patients and identify potential candidate biomarkers for diagnosis. Methods The discovery set contained 49 samples(24 from pSS and 25 from age-and gender-matched healthy controls[HCs])and the validation set included 25 samples(12 from pSS and 13 from HCs).Totally 36 pSS patients and 38 HCs were centrally randomized into the discovery set or to the validation set at a 2:1 ratio.Unstimulated whole saliva samples from pSS patients and HCs were analyzed using a data-independent acquisition(DIA)strategy on a 2D LC-HRMS/MS platform to reveal differential proteins.The crucial proteins were verified using DIA analysis and annotated using gene ontology(GO)and International Pharmaceutical Abstracts(IPA)analysis.A prediction model for SS was established using random forests. Results A total of 1,963 proteins were discovered,and 136 proteins exhibited differential representation in pSS patients.The bioinformatic research indicated that these proteins were primarily linked to immunological functions,metabolism,and inflammation.A panel of 19 protein biomarkers was identified by ranking order based on P-value and random forest algorichm,and was validated as the predictive biomarkers exhibiting good performance with area under the curve(AUC)of 0.817 for discovery set and 0.882 for validation set. Conclusions The candidate protein panel discovered may aid in pSS diagnosis.Salivary proteomic analysis is a promising non-invasive method for prognostic evaluation and early and precise treatments for pSS patients.DIA offers the best time efficiency and data dependability and may be a suitable option for future research on the salivary proteome.

Objective:To automatically classify hypertensive heart disease (HHD) and hypertrophic cardiomyopathy (HCM) based on mul-titask learning algorithm using native T1 mapping images.Methods:A total of 203 patients admitted to Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University from January 2017 to December 2021 were enrolled, including 53 patients with HHD, 121 patients with HCM, and 29 patients with normal control (NC). Native T1 mapping images of all enrolled patients were acquired using MRI and processed by a multi-task learning algorithm. The classification performance of each model was validated using ten-fold crossover, confusion matrix, and receiver operator characteristic (ROC) curves. The Resnet 50 model based on the original images was established as a control.Results:The ten-fold crossover validation results showed that the MTL-1 024, MTL-64, and MTL-all models showed better performance in terms of area under the curve (AUC), accuracy, sensitivity, and specificity compared to the Resnet 50 model. In the classification task, the MTL-64 model showed the best performance in terms of AUC (0.942 1), while the MTL-all model reached the highest value in terms of accuracy (0.852 2). In the segmentation task, the MTL-64 model achieved the best results with the Dice coefficient (0.879 7). The confusion matrix plot showed that the MTL model outperforms the Resnet 50 model based on the original image in terms of overall performance. The ROC graphs of all MTL models were significantly higher than the original image input Resnet 50 model.Conclusions:Multi-task learning-based native T1 mapping images are effective for automatic classification of HHD and HCM.