Multiple myeloma (MM) is a hematological malignancy that poses significant treatment challenges due to its heterogeneity and propensity for relapse and progression. In the last two decades, the therapeutic landscape of MM has changed dramatically, but the disease remains largely incurable, with many patients facing treatment resistance. This review evaluates the current status of MM treatments, emphasizing the limitations of traditional therapies and the emerging role of immunotherapy in improving patient outcomes. It highlights the importance of achieving and maintaining minimal residual disease negativity and a balanced immune response as key treatment goals. Furthermore, it discusses the advancements in immunotherapies that are improving the prospects for patients, particularly those with relapsed or refractory disease. Innovative strategies, such as chimeric antigen receptor T-cell therapy, bispecific antibodies, and bispecific T cell engagers, have shown significant promise by targeting the malignant cells and the bone marrow microenvironment, which are essential for disease persistence and resistance to therapy. Future research should focus on refining MM treatment strategies, including the integration of immunotherapy into earlier treatment lines and the development of predictive biomarkers for personalized treatment approaches, ultimately enhancing patient outcomes.

As a new type of production factor that can empower the development of new quality productivity, the data element is an important engine to promote the high quality development of the industry. Traditional Chinese medicine(TCM) dispensing is the most basic work of TCM clinical pharmacy, and its quality directly affects the clinical efficacy of TCM. The integration of data elements and TCM dispensing can stimulate the innovation and vitality of the TCM dispensing industry and promote the high-quality and sustainable development of the industry. A large-scale, detailed, and systematic study on TCM dispensing was conducted. The innovative practice path of data fusion construction in the whole process of TCM dispensing was investigated by integrating the digital resources "nine full activities" of TCM dispensing, creating the digital dictionary of "TCM clinical information data elements", and exploring innovative applications of TCM dispensing driven by data and technology, so as to promote the standardized, digital, and intelligent development of TCM dispensing in medical health services. The research content of this project was successfully selected as the second batch of "Data element×" typical cases of National Data Administration in 2024, which is the only selected case in the field of TCM.
Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal ; Humans

Objective:To investigate the effects of the Epley and Semont procedures with varying lateral angles of the head on posterior semicircular canal benign paroxysmal positional vertigo （PC-BPPV）. Methods:A total of 115 patients with unilateral PC-BPPV were randomly divided into five groups: Epley group, Semont group, Semont+10° group, Semont+20° group, and Semont+30° group, with 23 patients in each group. Corresponding reduction treatments were performed. Results:The total effective rates for the Epley group, Semont group, Semont+10° group, Semont+20° group, and Semont+30° group were 95.7% （22/23）, 4.3% （1/23）, 30.4% （7/23）, 52.2% （12/23）, and 87.0% （20/23） respectively. The inefficiencies were 4.3% （1/23）, 95.7% （22/23）, 69.6% （16/23）, 47.8% （11/23）, and 13.0% （3/23）. Statistically significant differences were observed in the total effective rates among the five groups （χ²=54.11, P<0.01）. The total effective rates in the Semont group, Semont+10° group, and Semont+20° group were significantly different from that of the Epley group （P<0.01）, while no statistically significant difference was found between the Semont+30° group and the Epley group （P= 0.608>0.012 5）. Conclusion:Among the four Semont methods with different lateral lying angles, the total effective rate of reduction treatment increased with the elevation of the lateral lying angle on the affected side. The efficacy of the Semont+30° group in treating PC-BPPV was not significantly different from the Epley group's reduction effect, which was markedly superior to that of the other four Semont methods at different angles. Therefore, the Semont+30° reduction technique is recommended for the treatment of PC-BPPV.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Benign Paroxysmal Positional Vertigo/therapy* ; Head ; Posture ; Semicircular Canals/physiopathology* ; Treatment Outcome

(+)-Borneol, the main component of "Natural Borneol" in the Chinese Pharmacopoeia, is a high-end spice and precious medicine. Plant extraction cannot meet the increasing demand for (+)-borneol, while microbial biosynthesis offers a sustainable supply route. However, its production was extremely low compared with other monoterpenes, even with extensively optimizing the mevalonate pathway. We found that the key challenge is the complex and unusual dephosphorylation reaction of bornyl diphosphate (BPP), which suffers the side-reaction and the competition from the cellular dephosphorylation process, especially lipid metabolism, thus limiting (+)-borneol synthesis. Here, we systematically optimized the dephosphorylation process by identifying, characterizing phosphatases, and balancing cellular dephosphorylation metabolism. For the first time, we identified two endogenous phosphatases and seven heterologous phosphatases, which significantly increased (+)-borneol production by up to 152%. By engineering BPP dephosphorylation and optimizing the MVA pathway, the production of (+)-borneol was increased by 33.8-fold, which enabled the production of 753 mg/L under fed-batch fermentation in shake flasks, so far the highest reported in the literature. This study showed that rewiring dephosphorylation metabolism was essential for high-level production of (+)-borneol in Saccharomyces cerevisiae, and balancing cellular dephosphorylation is also helpful for efficient biosynthesis of other terpenoids since all whose biosynthesis involves the dephosphorylation procedure.

Human alphaherpesvirus 2 (HSV-2) is the main pathogen resulting human genital herpes, which poses a major threat to the socio-economic development, while there is no effective vaccine. In this study, we developed a novel lipopolyplex (LPP)-delivered mRNA vaccine expressing the HSV-2 envelope glycoprotein gD and evaluated its immunogenicity in mice. The mRNA vaccine was prepared from the genetically modified gD mRNA synthesized in vitro combined with the LPP delivery platform and it was named gD-ORI mRNA. The expression of gD antigen in the mRNA vaccine was validated in vitro by Western blotting and indirect immunofluorescence assay, then the immune responses induced by this mRNA vaccine in mice were evaluated. The immunization with gD mRNA alone induced strong humoral and cellular immune responses in mice. Robust and long-lasting gD-specific IgG antibodies were detected in the mouse serum after booster immunization with gD-ORI mRNA. The immunized mice exhibited a Th1/Th2 balanced IgG response and robust neutralizing antibodies against HSV-2, and a clear dose-response relationship was observed. The gD-specific IgG antibodies were maintained in mice for a long time, up to 18 weeks post-booster immunization. At the same time, multifunctional gD-specific CD4⁺ and CD8⁺ T cells in vaccinated mice were detected by intracellular cytokine staining (ICS). This novel gD-expressing mRNA vaccine delivered by LPP induces strong and long-lasting immune responses in mice post booster immunization and has a promising prospect for development and application. This study provides scientific evidence and reference for the development of a new mRNA vaccine for HSV-2.
Animals ; Herpesvirus 2, Human/genetics* ; Viral Envelope Proteins/genetics* ; Mice ; Herpes Genitalis/immunology* ; RNA, Messenger/immunology* ; Female ; Mice, Inbred BALB C ; Antibodies, Viral/blood* ; mRNA Vaccines/immunology* ; Antibodies, Neutralizing/blood* ; Humans

OBJECTIVE To construct the simulated traditional Chinese medicine pharmacy based on virtual simulation technology， and assist in the development of the new mode of traditional Chinese medicine dispensing education training. METHODS The field research and questionnaire surveys were conducted to identify the needs of Chinese medicine students and practitioners for the content and presentation of knowledge on the construction of simulated traditional Chinese medicine pharmacy. Taking the laws and regulations on the construction of traditional Chinese medicine pharmacy and the related teaching materials and literature on traditional Chinese medicine preparation as the knowledge source， the virtual simulation technology was applied to build a simulated traditional Chinese medicine pharmacy so as to achieve the functions of browsing the traditional Chinese medicine pharmacy， learning the knowledge of traditional Chinese medicine preparation and practical skills training. A multi-site simulated traditional Chinese medicine pharmacy evaluation scale study was conducted based on platform operational testing. RESULTS A simulated traditional Chinese medicine pharmacy was constructed， consisting of four core modules： video teaching， animation video， simulated pharmacy， and simulated experience. The overall score of evaluation scale was 93.31， with all entries scoring above 80； the ones with evaluation scales above 90 accounted for 92.31% （60/65）. CONCLUSIONS Simulated traditional Chinese medicine pharmacy based on virtual simulation technology meets the learning needs of users and enhances the teaching effect of traditional Chinese medicine dispensing technology training.

OBJECTIVE To optimize the rivaroxaban dosing regimen for anticoagulation in patients with different renal function levels. METHODS The administration regimen was determined based on the drug instructions for rivaroxaban and the actual medication situation of the patient. The target concentration range and the subsection interval were established using rivaroxaban blood minimum concentration for patients from Hebei General Hospital and reference range of rivaroxaban laboratory monitoring concentration recommended by International Council for Standardization in Hematology. The probability of different dosing regimens in each target concentration range was investigated with Monte Carlo simulation using Oracle Crystal Ball software （V11.1.2.4）. RESULTS A total of 97 patients with non-valvular atrial fibrillation were enrolled and the minimum concentration of rivaroxaban was tested 125 times with a median trough concentration of 32.2 ng/mL； a total of 121 patients with venous thrombosis were enrolled and the minimum concentration was tested 159 times with a median minimum concentration of 31.0 ng/mL. The reference range for steady-state minimum concentration in patients with non-valvular atrial fibrillation was 12-137 and 3-153 ng/mL， while the reference range for steady-state minimum concentration in patients with venous thrombosis was 6-239 and 3-224 ng/mL. Monte Carlo simulation results showed that in patients with non-valvular atrial fibrillation， the optimal rivaroxaban dosing regimen for patients with glomerular filtration rate （eGFR） 0-30 mL/min was 5 mg once daily； for patients with eGFR＞30-60 mL/min， the optimal dosing regimen was 10-20 mg once daily or 5 mg twice daily； for patients with eGFR＞60-90 mL/min， the optimal dosing regimen was 15-30 mg once daily or 5-10 mg twice daily； for patients with eGFR＞90-120 mL/min， the optimal dosing regimen was 25-30 mg once daily or 5-15 mg twice daily. For patients with venous thrombosis， it is not recommended to use rivaroxaban more than 5 mg once daily for patients with eGFR 0-30 mL/min； the optimal dosing regimens of rivaroxaban were 5 mg once daily for patients with eGFR＞30-60 mL/min， 25- 30 mg once daily or 5-15 mg twice daily for patients with eGFR＞60-90 mL/min， 10-15 mg twice daily for patients with eGFR＞ 90-120 mL/min. CONCLUSIONS Rivaroxaban should be selected carefully as the anticoagulants for patients with severe renal function impairment. Rivaroxaban possesses a wide reference range in the minimum concentration and considerable individual variability. The dosage and frequency of rivaroxaban can be personalized through the Monte Carlo simulation method， taking into account patients’ renal function.

Based on the strategy of metabolomics combined with bioinformatics, this study analyzed the potential allergens and mechanism of pseudo-allergic reactions (PARs) induced by the combined use of Reduning injection and penicillin G injection. All animal experiments and welfare are in accordance with the requirements of the First Affiliated Experimental Animal Ethics and Animal Welfare Committee of Henan University of Chinese Medicine (approval number: YFYDW2020002). Based on UPLC-Q-TOF/MS technology combined with UNIFI software, a total of 21 compounds were identified in Reduning and penicillin G mixed injection. Based on molecular docking technology, 10 potential allergens with strong binding activity to MrgprX2 agonist sites were further screened. Metabolomics analysis using UPLC-Q-TOF/MS technology revealed that 34 differential metabolites such as arachidonic acid, phosphatidylcholine, phosphatidylserine, prostaglandins, and leukotrienes were endogenous differential metabolites of PARs caused by combined use of Reduning injection and penicillin G injection. Through the analysis of the "potential allergen-target-endogenous differential metabolite" interaction network, the chlorogenic acids (such as chlorogenic acid, neochlorogenic acid, cryptochlorogenic acid, and isochlorogenic acid A) and β-lactam allergens in the combination of the two may be mainly regulated by PLD1, PLA2G12A and CYP1A1. The three upstream signal target proteins mainly activate the arachidonic acid metabolic pathway, promote the degranulation of mast cells, release downstream endogenous inflammatory mediators, and induce PARs.

Objective To evaluate the biochemical indicators,nutritional status,and immune levels of pa-tients with pulmonary aspergillosis(PA)and other pulmonary diseases,and to construct a predictive model for PA so as to improve the diagnostic efficacy of clinical PA.Methods A total of 40 PA patients and 39 pa-tients with other pulmonary diseases who were hospitalized in the hospital from January 2020 to August 2022 were retrospectively analyzed.The expression trends and differences of serum 1,3-β-D Glucan(G test),galac-tomannan test(GM test),biochemical indexes,blood routine indexes and immune cell subsets were analyzed and compared.The receiver operating characteristic(ROC)curve and binary Logistic regression analysis were used to construct the predictive model for PA by the combination of clinical indicators.Results Serum GM test,G test,albumin,hemoglobin,hematocrit,lymphocytes,B lymphocytes,CD44 T lymphocytes and CD4/CD8 ratio displayed significant differences between PA patients and patients with other lung disease(P＜0.05).The levels of GM test in alveolar lavage fluid of PA patients were significantly higher than that in the serum,and the differences were statistically significant(P＜0.05).The ROC curve analysis showed that the GM test,as an independent predictor of PA,had good predictive accuracy[0.85＜area under the curve(AUC)＜0.95].Besides,albumin,natural killev cells,CD4+T lymphocytes and CD4/CD8 ratio had general predictive efficacy(0.70＜AUC＜0.85).The prediction efficacy of G test and B lymphocytes was poor(AUC＜0.70).The Logistic regression analysis showed that the combination of GM test and serum albumin could construct the optimal prediction model,and the prediction formula of the combined model was as fol-lows:Logit(P)=17.781× GM-0.131×albumin+1.394.The prediction accuracy of the combined model was 0.924(95％CI:0.865-0.982),the sensitivity was 87.5％,the specificity was 81.2％,and the cut off value was 17.781×GM-0.131×albumin-1.735.Conclusion This study retrospectively analyzed the differences in various clinical indicators between patients with PA and patients with other pulmonary diseases,and then screen the key clinical indicators as candidate predictors which displayed significantly different ex-pression between the two groups.The optimal prediction model for the diagnosis of PA is constructed by the combination of GM test and serum albumin through ROC curve and Logistic regression analysis.This model may significantly improve the diagnostic efficiency of PA in clinical,and provide the reference for the early di-agnosis and effective treatment of PA patients.