OBJECTIVE To evaluate the influence of gene polymorphism on plasma minimum concentration （cmin） of voriconazole （VRZ） in patients with invasive fungal infection. METHODS The Cochrane Library， Embase， PubMed， Web of Science， China Biomedical Literature Database， CNKI， VIP and Wanfang Data were searched for literature on the correlation between gene polymorphisms and cmin of VRZ from inception to April 2024. After screening the literature， extracting data， and evaluating the quality of the literature， meta-analysis was performed using R 4.3.2 software. RESULTS A total of 21 studies with 2 454 patients were included. The results of meta-analysis showed that the VRZ cmin of CYP2C19 IM and PM types was significantly higher than EM type， and the VRZ cmin of IM type was significantly lower than PM type （P＜0.01）. The VRZ cmin of CYP2C9 rs1057910 AA type was significantly higher than AC/CC type， and that of CYP3A5 rs776746 CC type was significantly higher than TT type （P＜0.01）. The VRZ cmin of POR rs10954732 GG type was significantly higher than GA and AA types， and that of POR rs1057868 CT type was significantly lower than TT type （P＜0.01）. The VRZ cmin of ABCB1 rs1045642 CC type was significantly higher than TT type （P＜0.05）. The VRZ cmin of NR1I2 rs2472677 CT type was significantly higher than TT type， and rs7643645 AA type was significantly higher than AG type （P＜0.05）. The VRZ cmin of ABCC2 rs717620 CC type was significantly lower than CT type and TT type， and the CT type was significantly lower than TT type （P＜0.01）. CONCLUSIONS Mutant alleles in CYP2C19， CYP2C9 rs1057910， CYP3A5 rs776746， POR rs10954732， ABCB1 rs1045642 and NR1I2 rs7643645 can lead to a decrease in VRZ plasma concentration， and mutant allele in ABCC2 rs717620 can lead to an increase in VRZ plasma concentration.

Immunosuppressants （including cyclosporine， tacrolimus， mycophenolate esters， glucocorticoids， etc.） are the first choice of drugs to prevent organ rejection after liver transplantation， which can effectively reduce the host immune response to the graft， improve the success rate of transplantation， and prolong the survival of patients. Liver transplantation is associated with intestinal flora， while immunosuppressive agents interact with intestinal flora. Immunosuppressive agents change the abundance， composition and metabolites of intestinal flora， while a series of enzymes and metabolites produced by intestinal flora may chemically alter the absorption and metabolism of immunosuppressants. In addition， the incidence of postoperative infection in liver transplantion patients is relatively high， while gut flora affects inflammatory factors， and immunosuppressants interact with inflammatory factors. To some extent， immunosuppressants can be thought of as acting through intestinal flora in patients after liver transplantation.

OBJECTIVE To evaluate the influence of gene polymorphism on plasma minimum concentration （cmin） of voriconazole （VRZ） in patients with invasive fungal infection. METHODS The Cochrane Library， Embase， PubMed， Web of Science， China Biomedical Literature Database， CNKI， VIP and Wanfang Data were searched for literature on the correlation between gene polymorphisms and cmin of VRZ from inception to April 2024. After screening the literature， extracting data， and evaluating the quality of the literature， meta-analysis was performed using R 4.3.2 software. RESULTS A total of 21 studies with 2 454 patients were included. The results of meta-analysis showed that the VRZ cmin of CYP2C19 IM and PM types was significantly higher than EM type， and the VRZ cmin of IM type was significantly lower than PM type （P＜0.01）. The VRZ cmin of CYP2C9 rs1057910 AA type was significantly higher than AC/CC type， and that of CYP3A5 rs776746 CC type was significantly higher than TT type （P＜0.01）. The VRZ cmin of POR rs10954732 GG type was significantly higher than GA and AA types， and that of POR rs1057868 CT type was significantly lower than TT type （P＜0.01）. The VRZ cmin of ABCB1 rs1045642 CC type was significantly higher than TT type （P＜0.05）. The VRZ cmin of NR1I2 rs2472677 CT type was significantly higher than TT type， and rs7643645 AA type was significantly higher than AG type （P＜0.05）. The VRZ cmin of ABCC2 rs717620 CC type was significantly lower than CT type and TT type， and the CT type was significantly lower than TT type （P＜0.01）. CONCLUSIONS Mutant alleles in CYP2C19， CYP2C9 rs1057910， CYP3A5 rs776746， POR rs10954732， ABCB1 rs1045642 and NR1I2 rs7643645 can lead to a decrease in VRZ plasma concentration， and mutant allele in ABCC2 rs717620 can lead to an increase in VRZ plasma concentration.

ObjectiveTo observe the clinical efficacy and safety of Modified Guomin Decoction （加味过敏煎， MGD） in patients with mild to moderate atopic dermatitis （AD） of the traditional Chinese medicine （TCM） pattern of heart fire and spleen deficiency， and to explore its possible mechanisms. MethodsIn this randomized， double-blind， placebo-controlled study， 72 patients with mild to moderate AD and the TCM pattern of heart fire and spleen deficiency were randomly divided into a treatment group and a control group， with 36 cases in each group. The treatment group received oral MGD granules combined with topical vitamin E emulsion， while the control group received oral placebo granules combined with topical vitamin E treatment. Both groups were treated twice daily for 4 weeks. Clinical efficacy， TCM syndrome scores， Visual Analogue Scale （VAS） for pruritus， Dermatology Life Quality Index （DLQI） scores， Scoring Atopic Dermatitis （SCORAD） and serum biomarkers， including interleukin-33 （IL-33）， interleukin-1β （IL-1β）， immunoglobulin E （IgE）， and tumor necrosis factor-α （TNF-α） were compared before and after treatment. Safety indexes was also assessed. ResultsThe total clinical effective rates were 77.78% （28/36） in the treatment group and 38.89% （14/36） in the control group， with cure rates of 19.44% （7/36） and 2.78% （1/36）， respectively. The treatment group showed significantly better clinical outcomes compared to the control group （P＜0.05）. The treatment group exhibited significant reductions in total TCM syndrome scores， including erythema， edema， papules， scaling， lichenification， pruritus， irritability， insomnia， abdominal distension， and fatigue scores， as well as reductions in VAS， DLQI， SCORAD， and serum IgE and IL-33 levels （P＜0.05 or P＜0.01）. Compared to the control group， the treatment group had significantly better improvements in all indicators except for insomnia （P＜0.05）. No adverse events occurred in either group. ConclusionMGD is effective and safe in treating mild to moderate AD patients with heart fire and spleen deficiency pattern. It significantly alleviates pruritus， improves TCM syndromes and quality of life， and enhances clinical efficacy， possibly through modulation of immune responses.

Energy metabolism reconstruction is the new target of the treatment of heart failure. By combing the researches of Chinese medicinals for energy metabolism reconstruction of heart failure， it was found that Chinese medicinal compound formula and single Chinese medicinal have a certain role in regulating energy metabolism， mainly through three aspects， including the optimization of substrate utilization， improvement of mitochondrial structure， function， and homeostasis， and improvement of mitochondrial energy transport， so as to make the energy metabolism of the cardiomyocyte adjusted in the direction of beneficial to the organism， increasing the supply of energy， and improving the cardiac function.

OBJECTIVE To evaluate the cost-effectiveness of finerenone combined with standard of care （SoC） in the treatment of heart failure with mildly reduced ejection fraction （HFmrEF） or preserved ejection fraction （HFpEF）. METHODS Based on a phase Ⅲ clinical trial， a Markov model was constructed from the perspective of China’s healthcare system to compare the treatment outcomes of finerenone combined with SoC regimen versus SoC regimen alone in the treatment of different cardiac functional statuses of HFmrEF/HFpEF. Using quality-adjusted life year （QALY） as the health output index， 3 times China’s per capita GDP in 2023 as the willingness-to-pay （WTP） threshold， a simulation was conducted with a 3-month cycle length and a 10- year time horizon， incorporating an annual discount rate of 5%. The dynamic changes across various stages of HFmrEF/HFpEF treated with finerenone combined with SoC versus SoC alone were simulated to evaluate the long-term effectiveness and costs of the two treatment strategies. Additionally， one-way sensitivity analysis and probabilistic sensitivity analysis were performed， to test the robustness of the results. RESULTS The incremental cost-effectiveness ratio （ICER） of the finerenone combined with SoC regimen versus SoC regimen alone was 179 504.75 yuan/QALY， which was below the WTP threshold set in this study， indicating that the finerenone combined with SoC regimen possessed certain economic advantages. The results of one-way sensitivity analysis showed that the utility value of NYHA Ⅱ status， the drug price of finerenone， the discount rate， and the probability of hospital transfer for both groups had a great influence on ICER， but did not affect the robustness of the model. The probabilistic sensitivity analysis also confirmed the robustness of the model. CONCLUSIONS Under the WTP threshold set in this study， finerenone combined with SoC is cost-effective in the treatment of HFmrEF/HFpEF， compared with the SoC regimen.

Objective To analyze the status quo and related factors of treatment compliance in elderly patients with advanced gastric cancer complicated with cancer pain. Methods Three hundred and ten elderly patients with advanced gastric cancer from January 2021 to June 2024 were selected, and their general data were collected. Hospital Anxiety and Depression Scale (HADS), Beliefs about Medicines Questionnaire (BMQ), Numerical Rating Scale (NRS) and 8-item Morisky Medication Adherence Scale (MMAS-8) were adopted to investigate the psychological status, necessity of medication belief, degree of cancer pain and treatment compliance. Univariate analysis, correlation analysis and multivariate logistic regression analysis were used to describe and analyze the treatment compliance status and related factors in elderly advanced gastric cancer with cancer pain. Results A total of 310 patients were divided into group A (good compliance, 93 cases), group B (moderate compliance ,102 cases) and group C (poor compliance , 115 cases) by means of compliance degree. There were significant differences in education level , pain duration and intensity and analgesic category (P<0.05). Treatment compliance was associated with education level, analgesic category, psychological status, medication belief and pain degree (P<0.05). The necessity of medication belief and pain duration and degree were influencing factors of treatment compliance. Conclusion The treatment compliance in advanced gastric cancer with cancer pain is poor, and can be affected by the necessity of medication belief and duration and degree of pain.

ObjectiveTo investigate the effects of Chaihu and Longgu Mulitang （CLMT） on hippocampal neural damage in the mouse model of depression via the extracellular signal-regulated protein kinase （ERK）/cAMP-response element-binding protein （CREB） signaling pathway. MethodsSeventy-eight male C57BL/6 mice were randomly allocated into normal control， model， low/medium/high-dose （2.89， 5.78， and 11.56 g·kg^-1， respectively） CLMT， and paroxetine （10 mg·kg^-1） groups. A depression model was established by chronic unpredictable mild stress （CUMS） combined with social isolation. Behavioral tests were carried out to evaluate depressive-like behaviors. Hematoxylin-eosin staining and Nissl staining were performed to assess hippocampal morphology and neuronal damage. Immunofluorescence was employed to detect glial fibrillary acidic protein （GFAP） and ionized calcium-binding adapter molecule 1 （Iba1）. Real-time PCR was employed to measure the mRNA levels of ERK and CREB. Western blot was employed to determine the expression of ERK/CREB pathway proteins and brain-derived neurotrophic factor （BDNF） in the hippocampal tissue. Molecular Operating Environment （MOE） software was used for molecular docking to evaluate the interactions between CLMT components and target proteins. ResultsCompared with the normal control group， the model group showed decreased sucrose preference （P0.01）， increased tail-suspension immobility time （P0.01）， decreased activity in the central region of the open field test （P0.01）， and decreased activity in the middle and open-arm region of the elevated plus maze test （P0.01）. The hippocampal area in the model group showed wrinkled cells and a reduction in the number of cells， neurons with reduced sizes and Nissl bodies， enhanced fluorescence intensity of GFAP and Iba1 （P0.01）， and down-regulated expression of phosphorylated （p）-ERK， p-CREB， and BDNF （P0.05， P0.01） and mRNA levels of ERK and CREB （P0.01）. Compared with the model group， the CLMT group showed increased body weight （P0.05， P0.01）， restored cell morphology， with only a small number of ruptured cells， normal neuronal structure and morphology with obvious nuclei and abundant Nissl bodies， weakened fluorescence intensity of GFAP and Iba1 （P0.05， P0.01）， up-regulated mRNA levels of ERK and CREB （P0.05， P0.01） and protein levels of phosphorylated （p）-ERK， p-CREB， and BDNF in the hippocampal tissue （P0.05， P0.01）. The results of molecular docking indicated that nine active ingredients in CLMT had good binding affinity with ERK and CREB. ConclusionCLMT may ameliorate the hippocampal nerve injury in the mouse model of depression by regulating the ERK/CREB pathway.

BACKGROUND: The American Heart Association recently released a new cardiovascular health (CVH) metric, Life's Essential 8 (LE8), for health promotion. However, the association between LE8 scores and the risk of chronic kidney disease (CKD) remains uncertain. We aimed to explore the association of LE8 scores with new-onset CKD and examine whether socioeconomic deprivation and genetic risk modify this association. METHODS: A total of 286,908 participants from UK Biobank and without prior CKD were included between 2006 and 2010. CVH was categorized using LE8 scores: low (LE8 scores <50), moderate (LE8 scores ≥50 but <80), and high (LE8 scores ≥80). The study outcome was new-onset CKD, ascertained by data linkage with primary care, hospital inpatient, and death data. Cox proportional hazard regression models were used to investigate the association between CVH categories and new-onset CKD. RESULTS: During a median follow-up of 12.5 years, 8857 (3.1%) participants developed new-onset CKD. Compared to the low CVH group, the moderate (adjusted hazards ratio [HR], 0.50; 95% confidence interval [CI]: 0.47-0.53) and high CVH (adjusted HR, 0.31; 95% CI: 0.27-0.34) groups had a significantly lower risk of developing new-onset CKD. The population-attributable risk associated with high vs. intermediate or low CVH scores was 40.3%. Participants who were least deprived ( vs.  most deprived; adjusted HR, 0.75; 95% CI: 0.71-0.79) and with low genetic risk of CKD ( vs.  high genetic risk; adjusted HR, 0.89; 95% CI: 0.85-0.94) had a significantly lower risk of developing new-onset CKD. However, socioeconomic deprivation and genetic risks of CKD did not significantly modify the relationship between LE8 scores and new-onset CKD (both P -interaction >0.05). CONCLUSION Achieving a higher LE8 score was associated with a lower risk of developing new-onset CKD, regardless of socioeconomic deprivation and genetic risks of CKD.
Humans ; Renal Insufficiency, Chronic/epidemiology* ; Male ; Female ; Middle Aged ; Genetic Predisposition to Disease/genetics* ; Aged ; Risk Factors ; Adult ; Proportional Hazards Models ; Socioeconomic Factors

PURPOSE: Early mortality in major trauma has decreased, but MODS remains a leading cause of poor outcomes, driven by trauma-induced cytokine storms that exacerbate injuries and organ damage. METHODS: This prospective cohort study included 79 major trauma patients (ISS >15) treated in the National Center for Trauma Medicine, Peking University People's Hospital, from September 1, 2021, to July 31, 2023. Patients (1) with ISS >15 (according to AIS 2015), (2) aged 15-80 years, (3) admitted within 6 h of injury, (4) having no prior treatment before admission, were included. Exclusion criteria were (1) GCS score <9 or AIS score ≥3 for TBI, (2) confirmed infection, infectious disease, or high infection risk, (3) pregnancy, (4) severe primary diseases affecting survival, (5) recent use of immunosuppressive or cytotoxic drugs within the past 6 months, (6) psychiatric patients, (7) participation in other clinical trials within the past 30 days, (8) patients with incomplete data or missing blood samples. Admission serum inflammatory cytokines and pathophysiological data were analyzed to develop machine learning models predicting MODS within 7 days. LR, DR, RF, SVM, NB, and XGBoost were evaluated based on the area under the AUROC. The SHAP method was used to interpret results. RESULTS: This study enrolled 79 patients with major trauma, and the median (Q₁, Q₃) age was 51 (35, 59) years (52 males, 65.8%). The inflammatory cytokine data were collected for all participants. Among these patients, 35 (44.3%) developed MODS, and 44 (55.7%) did not. Additionally, 2 patients (2.5%) from the MODS group succumbed. The logistic regression model showed strong performance in predicting MODS. Ten key cytokines, IL-18, Eotaxin, MCP-4, IP-10, CXCL12, MIP-3α, MCP-1, IL-1RA, Cystatin C, and MRP8/14 were identified as critical to the trauma-induced cytokine storm and MODS development. Early elevation of these cytokines achieved high predictive accuracy, with an AUROC of 0.887 (95% CI 0.813-0.976). CONCLUSION Trauma-induced cytokine storms are strongly associated with MODS. Early identification of inflammatory cytokine changes enables better prediction and timely interventions to improve outcomes.
Humans ; Prospective Studies ; Middle Aged ; Male ; Female ; Adult ; Aged ; Cytokine Release Syndrome/etiology* ; Adolescent ; Young Adult ; Aged, 80 and over ; Wounds and Injuries/complications* ; Cytokines/blood* ; Multiple Organ Failure/diagnosis* ; Machine Learning