OBJECTIVE: To investigate the therapeutic efficacy of cinnamaldehyde (CA) on systemic Candida albicans infection in mice and to provide supportive data for the development of novel antifungal drugs. METHODS: Ninety BALB/c mice were randomly divided into 3 groups according to a random number table: CA treatment group, fluconazole (positive control) group, and Tween saline (negative control) group, with 30 mice in each group. Initially, all groups of mice received consecutive intraperitoneal injections of cyclophosphamide at 200 mg/kg for 2 days, followed by intraperitoneal injection of 0.25 mL C. albicans fungal suspension (concentration of 1.0 × 10⁷ CFU/mL) on the 4th day, to establish an immunosuppressed systemic Candida albicans infection animal model. Subsequently, the mice were orally administered CA, fluconazole and Tween saline, at 240, 240 mg/kg and 0.25 mL/kg respectively for 14 days. After a 48-h discontinuation of treatment, the liver, small intestine, and kidney tissues of mice were collected for fungal direct microscopic examination, culture, and histopathological examination. Additionally, renal tissues from each group of mice were collected for (1,3)- β -D-glucan detection. The survival status of mice in all groups was monitored for 14 days of drug administration. RESULTS: The CA group exhibited a fungal clearance rate of C. albicans above 86.7% (26/30), significantly higher than the fluconazole group (60.0%, 18/30, P<0.01) and the Tween saline group (30.0%, 9/30, P<0.01). Furthermore, histopathological examination in the CA group revealed the disappearance of inflammatory cells and near-normal restoration of tissue structure. The (1,3)-β-D-glucan detection value in the CA group (860.55 ± 126.73 pg/mL) was significantly lower than that in the fluconazole group (1985.13 ± 203.56 pg/mL, P<0.01) and the Tween saline group (5910.20 ± 320.56 pg/mL, P<0.01). The mouse survival rate reached 90.0% (27/30), higher than the fluconazole group (60.0%, 18/30) and the Tween saline group (30.0%, 9/30), with a significant difference between the two groups (both P<0.01). CONCLUSIONS CA treatment exhibited significant therapeutic efficacy in mice with systemic C. albicans infection. Therefore, CA holds potential as a novel antifungal agent for targeted treatment of C. albicans infection.
Animals ; Acrolein/pharmacology* ; Candida albicans/physiology* ; Mice, Inbred BALB C ; Candidiasis/pathology* ; Antifungal Agents/therapeutic use* ; Mice ; Fluconazole/therapeutic use* ; Kidney/drug effects* ; Female

OBJECTIVE: Hepatocellular carcinoma (HCC) is sensitive to ferroptosis, a new form of programmed cell death that occurs in most tumor types. However, the mechanism through which ferroptosis modulates HCC remains unclear. This study aimed to investigate the oncogenic role and prognostic value of FANCD2 and provide novel insights into the prognostic assessment and prediction of immunotherapy. METHODS: Using clinicopathological parameters and bioinformatic techniques, we comprehensively examined the expression of FANCD2 macroscopically and microcosmically. We conducted univariate and multivariate Cox regression analyses to identify the prognostic value of FANCD2 in HCC and elucidated the detailed molecular mechanisms underlying the involvement of FANCD2 in oncogenesis by promoting iron-related death. RESULTS: FANCD2 was significantly upregulated in digestive system cancers with abundant immune infiltration. As an independent risk factor for HCC, a high FANCD2 expression level was associated with poor clinical outcomes and response to immune checkpoint blockade. Gene set enrichment analysis revealed that FANCD2 was mainly involved in the cell cycle and CYP450 metabolism. CONCLUSION To the best of our knowledge, this is the first study to comprehensively elucidate the oncogenic role of FANCD2. FANCD2 has a tumor-promoting aspect in the digestive system and acts as an independent risk factor in HCC; hence, it has recognized value for predicting tumor aggressiveness and prognosis and may be a potential biomarker for poor responsiveness to immunotherapy.
Humans ; Carcinoma, Hepatocellular/diagnosis* ; Liver Neoplasms/diagnosis* ; Immunotherapy ; Fanconi Anemia Complementation Group D2 Protein/metabolism* ; Prognosis ; Male ; Female ; Middle Aged ; Biomarkers, Tumor/metabolism*

Objective To explore characteristics of clinical parameters and cytokines in patients with drug-induced liver injury(DILI)caused by different drugs and their correlation with clinical indicators. Method The study was conducted on patients who were up to Review of Uncertainties in Confidence Assessment for Medical Tests(RUCAM)scoring criteria and clinically diagnosed with DILI.Based on Chinese herbal medicine,cardiovascular drugs,non-steroidal anti-inflammatory drugs(NSAIDs),anti-infective drugs,and other drugs,patients were divided into five groups.Cytokines were measured by Luminex technology.Baseline characteristics of clinical biochemical indicators and cytokines in DILI patients and their correlation were analyzed. Results 73 patients were enrolled.Age among five groups was statistically different(P=0.032).Alanine aminotransferase(ALT)(P=0.033)and aspartate aminotransferase(AST)(P=0.007)in NSAIDs group were higher than those in chinese herbal medicine group.Interleukin-6(IL-6)and tumor necrosis factor alpha(TNF-α)in patients with Chinese herbal medicine(IL-6:P<0.001;TNF-α:P<0.001)and cardiovascular medicine(IL-6:P=0.020;TNF-α:P=0.001)were lower than those in NSAIDs group.There was a positive correlation between ALT(r=0.697,P=0.025),AST(r=0.721,P=0.019),and IL-6 in NSAIDs group. Conclusion Older age may be more prone to DILI.Patients with NSAIDs have more severe liver damage in early stages of DILI,TNF-α and IL-6 may partake the inflammatory process of DILI.

ObjectiveTo establish a theoretical system of pharmacokinetic and spectrokinetic dose-time characterization of traditional Chinese medicine（TCM）. By analyzing the pharmacokinetic and spectrokinetic behaviors of Lonicerae Flos， Houttuyniae Herba injection， Lonicerae Japonicae Flosand Buyang Huanwutang， this paper compared the similarities and differences of the three methods for characterizing the dose-time relationship， namely half-life， statistical moment and statistics， in order to find the most suitable method for characterizing the relationship. MethodTen mice were randomly selected from 100 Kunming mice as the blank group， and the remaining mice were coated with xylene in the auricle to establish the acute inflammation model of ear swelling. After successful modeling， the mice were gavaged with aqueous extract of Lonicerae Flos（30 g∙kg^-1）， and the blank group was gavaged with an equal volume of normal saline. The plasma of mice was collected at different time points to determine the content changes of components. At the same time， the pharmacokinetic results of Houttuyniae Herba injection， Lonicerae Japonicae Flos and Buyang Huanwutang were included， and the pharmacokinetic and spectrokinetic parameters were calculated. Then the difference in the time of calculating 95% total component content of metabolism by half-life method， statistical moment method and statistical method was compared. ResultOn the basis of the half-life method， the mathematical expressions of statistical moment method and statistical method suitable for the characterization of dose-time relationship of multi-component system of TCM were established. The results showed that the pharmacokinetic parameters of the individual components in Lonicerae Flos varied， with cryptochlorogenic acid and rutin showing a two-compartment model and the other components showing a one-compartment model. After calculation of spectrokinetic similarity， the metabolic patterns among the components contained in Houttuyniae Herba injection， Lonicerae Japonicae Flos， Lonicerae Flos and Buyang Huanwutang were different and varied greatly in vivo. The time to metabolize 95% of the total components of the four research subjects in vivo was calculated by the half-life method， statistical moment method and statistical method， and it was found that the difference between statistical moment method and half-life method was large， and the difference between statistical moment method and statistical method was small. ConclusionStatistical method not only reflects the characteristics of statistical moment method， characterizes the dispersion degree of each component， but also can be associated with fingerprint to form spectrokinetics， characterizing the dose-time relationship of 95% of drug components， which is a more desirable method to characterize the dose-time relationship of the component groups in TCM.

Objective To observe the regulatory mechanism of drug-containing serum of Jinghou Zengzhi Prescription based on qi and blood replenishing method on the expression of growth and differentiation factor 9(GDF9)and apoptosis of ovarian granulosa cells in rats with controlled ovarian hyperstimulation(COH).Methods Serum of COH rats(blank serum)and serum of COH rats gavaged by the Jinghou Zengzhi Prescription were prepared.A COH rat model was established and ovarian granulosa cells were collected.The experiment was divided into 5 groups:blank serum group,drug-containing serum group,drug-containing serum+SB203580[p38 mitogen-activated protein kinase(p38MAPK)inhibitor]group,drug-containing serum + PDTC[nuclear transcription factor κB(NF-κB)inhibitor]group,drug-containing serum + SB203580 + PDTC group.The mRNA expression levels of p38MAPK,casein kinase 2(CK2),nuclear transcription factor κB inhibitor α(IκBα),NF-κB and GDF9 were detected by real-time quantitative polymerase chain reaction(qRT-PCR),and GDF9 protein expression level was detected by Western Blot,and ovarian granulosa cell apoptosis was detected by terminal-deoxynucleoitidyl transferase mediated nick end labeling(TUNEL).Results The drug-containing serum of Jinghou Zengzhi Prescription decreased the mRNA expressions of p38MAPK and NF-κB,elevated the mRNA expressions of CK2 and IκBα,increased the mRNA and protein expression levels of GDF9,and decreased the apoptosis rate of ovarian granulosa cells in COH rats.The addition of p38MAPK inhibitor SB203580 alone and the addition of NF-κB inhibitor PDTC alone both promoted the mRNA and protein expressions of GDF9 and reduced the apoptosis rate of granulosa cells.Conclusion The drug-containing serum of Jinghou Zengzhi Prescription based on qi and blood replenishing method can promote the expression of GDF9 and inhibit the apoptosis of ovarian granulosa cells in rats with COH,and its mechanism may be related to the regulation of the expression of genes of the dual signaling pathways of p38MAPK and NF-κB.

Child ; Child, Preschool ; Humans ; China ; Practice Guidelines as Topic ; Dyssomnias ; Child Behavior

Objective: To investigate the prognostic value of preoperative inflammatory and nutritional condition detection in the postoperative survival, and establish a prognostic model for predicting the survival of patients with gastric cancer. Methods: The clinicopathological data of 1123 patients with gastric cancer who had undergone radical gastrectomy in Tianjin Medical University Cancer Institute & Hospital from January 2005 to December 2014 were retrospectively analyzed. Patients with history of other malignancy, with history of gastrectomy, who had received preoperative treatment, who died during the initial hospital stay or first postoperative month, and missing clinical and pathological information were excluded. Cox univariate and multivariate analyses were used to identify independent clinicopathological factors associated with the survival of these gastric cancer patients. Cox univariate analysis was used to identify preoperative inflammatory and nutritional indexes related to the survival of patients with gastric cancer after radical gastrectomy. Moreover, the Cox proportional regression model for multivariate survival analysis (forward stepwise regression method based on maximum likelihood estimation) was used. The independent clinicopathological factors that affect survival were incorporated into the following three new prognostic models: (1) an inflammatory model: significant preoperative inflammatory indexes identified through clinical and univariate analysis; (2) a nutritional model: significant preoperative nutritional indexes identified through clinical and univariate analysis; and (3) combined inflammatory/nutritional model: significant preoperative inflammatory and nutritional indexes identified through clinical and univariate analysis. A model that comprised only pT and pN stages in tumor TNM staging was used as a control model. The integrated area under the receiver operating characteristic curve (iAUC) and C-index were used to evaluate the discrimination of the model. Model fitting was evaluated by Akaike information criterion analysis. Calibration curves were used to assess agreement between the predicted probabilities and actual probabilities at 3-year or 5-year overall survival (OS). Results: The study cohort comprised 1 123 patients with gastric cancer. The mean age was 58.9±11.6 years, and 783 were males. According to univariate analysis, age, surgical procedure, extent of lymph node dissection, tumor location, maximum tumor size, number of examined lymph nodes, pT stage, pN stage, and nerve invasion were associated with 5-year OS after radical gastrectomy for gastric cancer (all P<0.050). Multivariate analysis further identified age (HR: 1.18, 95%CI: 1.03-1.36, P=0.019), maximum tumor size (HR: 1.19, 95%CI: 1.03-1.38, P=0.022), number of examined lymph nodes (HR: 0.79, 95%CI: 0.68-0.92, P=0.003), pT stage (HR: 1.40, 95%CI: 1.26-1.55, P<0.001) and pN stage (HR: 1.28, 95%CI: 1.21-1.35, P<0.001) as independent prognostic factors for OS of gastric cancer patients. Additionally, according to univariate survival analysis, the preoperative inflammatory markers of neutrophil count, percentage of neutrophils, neutrophil/lymphocyte ratio, platelet/neutrophil ratio and preoperative nutritional indicators of serum albumin and body mass index were potential prognostic factors for gastric cancer (all P<0.05). On the basis of the above results, three models for prediction of prognosis were constructed. Variables included in the three models are as follows. (1) Inflammatory model: age, maximum tumor size, number of examined lymph nodes, pT stage, pN stage, percentage of neutrophils, and neutrophil-lymphocyte ratio; (2) nutritional model: age, maximum tumor size, number of examined lymph nodes, pT stage, pN stage, and serum albumin; and (3) combined inflammatory/nutritional model: age, maximum tumor size, number of examined lymph nodes, pT stage, pN stage, percentage of neutrophils, neutrophil-lymphocyte ratio, and serum albumin. We found that the predictive accuracy of the combined inflammatory/nutritional model, which incorporates both inflammatory indicators and nutrition indicators (iAUC: 0.676, 95% CI: 0.650-0.719, C-index: 0.698),was superior to that of the inflammation model (iAUC: 0.662, 95% CI: 0.673-0.706;C-index: 0.675), nutritional model (iAUC: 0.666, 95% CI: 0.642-0.698, C-index: 0.672), and TNM staging control model (iAUC: 0.676, 95% CI: 0.650-0.719, C-index: 0.658). Furthermore, the combined inflammatory/nutritional model had better fitting performance (AIC: 10 762) than the inflammatory model (AIC: 10 834), nutritional model (AIC: 10 810), and TNM staging control model (AIC: 10 974). Conclusions: Preoperative percentage of neutrophils, NLR, and BMI have predictive value for the prognosis of gastric cancer patients. The inflammatory / nutritional model can be used to predict the survival and prognosis of gastric cancer patients on an individualized basis.
Male ; Humans ; Middle Aged ; Aged ; Female ; Prognosis ; Retrospective Studies ; Stomach Neoplasms/pathology* ; Neoplasm Staging ; Gastrectomy ; Serum Albumin

Objective: To investigate the associations between 24-hour urinary sodium excretion (24hUNaE) and all-cause mortality in adult Northern Chinese population. Methods: Data from this study were derived from the prospective urban and rural epidemiology (PURE) study in north China. Baseline information of all participants were obtained by face to face interview through trained research staffs based on questionnaires, and morning fasting urine samples of participants were collected to estimate 24hUNaE and 24-hour potassium excretion (24hUKE). Multivariable frailty Cox regression models were used to explore the association between 24hUNaE (<3.00, 3.00-3.99, 4.00-4.99, 5.00-5.99 and ≥6 g/d) and all-cause death. Results: A total of 27 310 participants were included in this study. The mean 24hUNaE was (5.84±1.73) g/d. After a median follow-up of 8.8 years, 1 024 participants died (3.7%), including 390 cardiovascular related deaths and 591 non-cardiovascular related deaths. The cause of death of the remaining patients could not be determined. Using 24hUNaE level of 4.00-4.99 g/d as the reference group, after fully adjustment, 24hUNaE ≥6.00 g/d was associated with an increased risk of all-cause death (HR=1.24, 95%CI: 1.02-1.49) and cardiovascular related death (HR=1.39, 95%CI: 1.02-1.88). 24hUNaE<3.00 g/d was associated with increased risk of all-cause mortality (HR=1.38, 95%CI: 0.96-1.99). There was no significant association between 24hUNaE and non-cardiovascular related death. Furthermore, using the combination of 24hUNaE 4.00-4.99 g/d and 24hUKE≥2.11 g/d as the reference group, the highest risk occurred in participants with the combination of low sodium (<3.00 g/d) and low potassium (<2.11 g/d). Conclusion: 24hUNaE equal or higher than 6 g/d or lower than 3 g/d is associated with increased risk of all-cause mortality and cardiovascular related death in Northern Chinese population. Besides, moderate sodium intake in combination with increased potassium intake might reduce the risk of all-cause death.
Humans ; Adult ; Sodium/urine* ; Prospective Studies ; Potassium/urine* ; China/epidemiology* ; Proportional Hazards Models ; Cardiovascular Diseases/epidemiology*

BACKGROUND: Keloids are benign fibrous growths that are caused by excessive tissue build-up. Severe keloids exert more significant effects on patients' quality of life than do mild keloids. We aimed to identify factors associated with the progression from mild keloids to severe keloids, as distinct from those associated with the formation of keloids. METHODS: In this retrospective case-control study, 251 patients diagnosed with keloids at West China Hospital between November 2018 and April 2021 were grouped according to the severity of lesions (mild [n = 162] or severe [n = 89]). We collected their basic characteristics, living habits, incomes, comorbidities, and keloid characteristics from Electronic Medical Records in the hospital and the patients' interviews. Conditional multivariable regression was performed to identify the independent risk factors for the progression of keloids. RESULTS: Eighty-nine patients (35.5%) were classified as having severe keloids. We found the distribution of severe keloids varied with sex, age, excessive scrubbing of keloids, family income, the comorbidity of rheumatism, disease duration, characteristics of the location, location in sites of high-stretch tension, the severity and frequency of pain, the severity of pruritus, and infection. Multivariable analysis revealed significant associations between severe keloids and infection (odds ratio [OR], 3.55; P = 0.005), excessive scrubbing of keloids (OR, 8.65; P = 0.001), low or middle family income (OR, 13.44; P = 0.021), comorbidity of rheumatism (OR, 18.97; P = 0.021), multiple keloids located at multiple sites (OR, 3.18; P = 0.033), and disease duration > 15 years (OR, 2.98; P = 0.046). CONCLUSION Doctors should implement more active and thorough measures to minimize the progression of mild keloids in patients who have any of the following risk factors: infection, excessive scrubbing of keloids, low or middle family income, comorbidity of rheumatism, multiple keloids located at multiple sites, and disease duration > 15 years.
Case-Control Studies ; Humans ; Keloid/epidemiology* ; Quality of Life ; Retrospective Studies ; Rheumatic Diseases ; Risk Factors

Epidemic diseases have caused huge harm to the society. Traditional Chinese medicine(TCM) has made great contributions to the prevention and treatment of them. It is of great reference value for fighting diseases and developing drugs to explore the medication law and mechanism of TCM under TCM theory. In this study, the relationship between the TCM theory of cold pestilence and modern epidemic diseases was investigated. Particularly, the the relationship of coronavirus disease 2019(COVID-19), severe acute respiratory syndrome(SARS), and influenza A(H1 N1) with the cold pestilence was identified and analyzed. The roles of TCM theory of cold pestilence in preventing and treating modern epidemic diseases were discussed. Then, through data mining and textual research, prescriptions for the treatment of cold pestilence were collected from major databases and relevant ancient books, and their medication laws were examined through analysis of high-frequency medicinals and medicinal pairs, association rules analysis, and cluster analysis. For example, the prescriptions with high confidence levels were identified: "Glycyrrhizae Radix et Rhizoma-Bupleuri Radix-Paeoniae Radix Alba" "Glycyrrhizae Radix et Rhizoma-Pinelliae Rhizoma-Bupleuri Radix", and TCM treatment methods with them were analyzed by clustering analysis to yield the medicinal combinations: "Zingiberis Rhizoma-Aconiti Lateralis Radix Praeparata-Ginseng Radix et Rhizoma" "Poria-Atractylodis Macrocephalae Rhizoma" "Cinnamomi Ramulus-Asari Radix et Rhizoma" "Citri Reticulatae Pericarpium-Perillae Folium" "Pinelliae Rhizoma-Magnoliae Officinalis Cortex-Atractylodis Rhizoma" "Paeoniae Radix Alba-Angelicae Sinensis Radix-Glycyrrhizae Radix et Rhizoma-Bupleuri Radix-Scutellariae Radix-Rhizoma Zingiberis Recens" "Ephedrae Herba-Armeniacae Semen Amarum-Gypsum Fibrosum" "Chuanxiong Rhizoma-Notopterygii Rhizoma et Radix-Angelicae Dahuricae Radix-Platycodonis Radix-Saposhnikoviae Radix". Then, according to the medication law for cold pestilence, the antiviral active components of medium-frequency and high-frequency medicinals were retrieved. It was found that these components exerted the antiviral effect by inhibiting virus replication, regulating virus proteins and antiviral signals, and suppressing protease activity. Based on network pharmacology, the mechanisms of the medicinals against severe acute respiratory syndrome coronavirus(SARS-CoV), 2019 novel coronavirus(2019-nCoV), and H1 N1 virus were explored. It was determined that the key targets were tumor necrosis factor(TNF), endothelial growth factor A(VEGFA), serum creatinine(SRC), epidermal growth factor receptor(EGFR), matrix metalloproteinase 9(MMP9), mitogen-activated protein kinase 14(MAPK14), and prostaglandin-endoperoxide synthase 2(PTGS2), which were involved the mitogen-activated protein kinase(MAPK) pathway, advanced glycation end-products(AGE)-receptor for AGE(RAGE) pathway, COVID-19 pathway, and mTOR pathway. This paper elucidated the medication law and mechanism of TCM for the prevention and treatment of epidemic diseases under the guidance of TCM theory of cold pestilence, in order to build a bridge between the theory and modern epidemic diseases and provide reference TCM methods for the prevention and treatment of modern epidemic diseases and ideas for the application of data mining to TCM treatment of modern diseases.
Aconitum ; Antiviral Agents ; COVID-19/epidemiology* ; Calcium Sulfate ; Communicable Disease Control ; Communicable Diseases/virology* ; Creatinine ; Cyclooxygenase 2 ; Drugs, Chinese Herbal/therapeutic use* ; Endothelial Growth Factors ; Epidemics/prevention & control* ; ErbB Receptors ; Humans ; Matrix Metalloproteinase 9 ; Medicine, Chinese Traditional ; Mitogen-Activated Protein Kinase 14 ; Pinellia ; SARS-CoV-2 ; TOR Serine-Threonine Kinases ; Tumor Necrosis Factors ; COVID-19 Drug Treatment