ObjectiveThe exacerbating trend of global population aging poses profound socioeconomic and public health challenges, making the comprehensive elucidation of biological aging mechanisms and the discovery of effective anti-aging interventions an urgent priority in the life sciences. Based on our previous serum metabolomics findings that dimethylglycine, an intermediate metabolite of amino acid metabolism naturally present in the human body, was significantly enriched in the serum of longevity families, this study aimed to systematically investigate the anti-aging effects of dimethylglycine both in living organisms and in controlled laboratory environments, and to preliminarily elucidate its underlying molecular mechanisms. While existing literature indicates that dimethylglycine possesses antioxidant and immunomodulatory properties, its direct anti-aging efficacy and the specific molecular pathways through which it operates remain largely unexplored. MethodsTo comprehensively evaluate the anti-aging properties of dimethylglycine, we utilized replicative senescent human embryonic lung fibroblasts, specifically the WI-38 cell line, as an experimental model in a controlled laboratory environment. Cell viability and safety were thoroughly assessed using Cell Counting Kit-8 and lactate dehydrogenase release assays across various concentrations of dimethylglycine. The impact of dimethylglycine on cellular senescence phenotypes, oxidative stress, and proliferative capacity was evaluated via senescence-associated beta-galactosidase staining, reactive oxygen species fluorescence detection, and 5-ethynyl-2'-deoxyuridine incorporation assays. Furthermore, the molecular alterations of senescence-associated secretory phenotype factors and core senescence signaling pathways were quantified using quantitative reverse transcription polymerase chain reaction for the messenger RNA levels of interleukin-6, interleukin-8, p21, and matrix metalloproteinase-1, and enzyme-linked immunosorbent assay for the measurement of p16 and p21 protein expression levels. For the living organism model, the wild-type nematode Caenorhabditis elegans was used to evaluate systemic physiological effects. We conducted a comprehensive lifespan analysis at 20°C, heat stress resistance survival assays at 35℃, senescence-associated beta-galactosidase staining, lipofuscin accumulation tracking, intracellular reactive oxygen species measurement, and Oil Red O staining to ascertain systemic lipid accumulation. Additionally, network pharmacology bioinformatics tools, including PharmMapper and STRING databases, and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analysis were utilized to predict target pathways, alongside highly detailed molecular docking simulations utilizing SwissDock and Protein-Ligand Interaction Profiler to examine interactions with the cytochrome P450 family 2 subfamily C member 9 protein. ResultsThe experimental outcomes robustly demonstrate the potent anti-aging capabilities of dimethylglycine. At the cellular level, toxicity analyses firmly confirmed that dimethylglycine is highly safe; continuous treatment with 50 mol/L and 70 mol/L of dimethylglycine for 5 d did not induce any cellular membrane damage or cytotoxicity, but rather actively promoted cellular proliferation. Utilizing the optimal standardized concentration of 50 mol/L, dimethylglycine treatment significantly ameliorated senescent phenotypic markers in human embryonic lung fibroblasts, which was evidenced by a drastic and highly significant reduction in the senescence-associated beta-galactosidase positive cell percentage (P<0.000 1) and intracellular reactive oxygen species levels (P<0.000 1), alongside a marked increase in the 5-ethynyl-2'-deoxyuridine-positive proliferation rate (P=0.003 5). On a molecular expression scale, dimethylglycine significantly downregulated the messenger RNA expression of multiple core senescence-associated secretory phenotype inflammatory factors, including interleukin-6, interleukin-8, p21, and matrix metalloproteinase-1. Concurrently, it effectively suppressed the protein expression of critical cell cycle arrest markers, diminishing p16 protein levels by 57.3% (P=0.000 4) and p21 protein levels by 27.2% (P=0.000 7). In the nematode Caenorhabditis elegans animal model, dimethylglycine significantly extended the mean lifespan from 20.402 d to an impressive 23.066 d (P<0.000 1) and notably enhanced overall survival rates under severe heat stress environmental conditions (P=0.017). Furthermore, systemic dimethylglycine intervention significantly mitigated age-related physiological decline by decreasing bodily lipofuscin accumulation (P<0.000 1), significantly reducing senescence-associated beta-galactosidase activity, lowering systemic reactive oxygen species fluorescence (P=0.008), and effectively alleviating overall fat accumulation (P<0.000 1). Mechanistically, extensive network pharmacology and Kyoto Encyclopedia of Genes and Genomes analyses strongly revealed that the potential targets of dimethylglycine are significantly enriched in fundamental drug metabolism and oxidative stress response pathways. Precision molecular docking simulations conclusively demonstrated that dimethylglycine forms highly stable structural interactions with the cytochrome P450 family 2 subfamily C member 9 protein, specifically highlighting the definitive formation of 5 stable hydrogen bonds involving serine 365, leucine 366, and serine 429 residues, as well as two critical salt bridge formations with arginine 97 and histidine 368 residues. It is additionally predicted to interact favorably with glutathione S-transferase family proteins. ConclusionDimethylglycine exhibits a profoundly significant and multifaceted anti-aging activity at both the cellular and entire living animal levels. By powerfully alleviating oxidative stress, heavily suppressing the core p16 and p21-dependent cellular senescence signaling pathways, and substantially mitigating the detrimental senescence-associated secretory phenotype, dimethylglycine effectively delays fundamental cellular senescence processes and drastically extends whole-organism lifespan. The biological mechanisms driving these robust protective effects are highly likely closely associated with its direct stable interactions with crucial metabolic and detoxifying enzyme systems, such as cytochrome P450 family 2 subfamily C member 9 and glutathione S-transferase family proteins, thereby systemically improving metabolic dysregulation and restoring critical redox homeostasis. This comprehensive study provides highly solid experimental evidence supporting dimethylglycine as a highly potent and safe potential anti-aging intervention agent, while simultaneously offering a clear molecular mechanistic explanation for the previously documented high abundance of dimethylglycine observed within exceptionally long-lived human populations.

AIM To identify the chemical components of Longmu Qingxin Mixture by UPLC-Q-TOF-MS and study its material basis for the treatment of attention deficit hyperactivity disorder.METHODS The sample was detected by mass spectrometry in positive and negative ion mode on a Waters CORTECS? UPLC? T3 chromatographic column.The data were analyzed with Peakview 1.2 software and matched with the Natural Products HR-MS/MS Spectral Library 1.0 database,and the components were identified in combination with literature reports.The material basis of Longmu Qingxin Mixture for the treatment of attention deficit hyperactivity disorder was analysed according to the identified components.RESULTS Forty chemical components were identified,including 11 flavonoids,6 monoterpene glycosides,4 triterpene saponins,3 phenolic acids,6 alkaloids etc.,which mainly derived from Radix Astragali,Radix Paeoniae Alba,Radix Scutellariae,licorice root,Ramulus Uncariae cum,etc.,baicalein,formononetin,astragaloside Ⅳ and rhynchophylline may be the material basis for the therapeutic effect of Longmu Qingxin Mixture.CONCLUSION UPLC-Q-TOF-MS can quickly identify the chemical components of Longmu Qingxin Mixture.Flavonoids,triterpene saponins and alkaloids may be the material basis for Longmu Qingxin Mixture for the treatment of attention deficit hyperactivity disorder,which can provide the basis for its material basis research,quality standard establishment and pharmacological study of the dismantled formula.

Child ; Humans ; East Asian People ; Quality of Life ; Students ; Child Abuse, Sexual ; Young Adult ; Resilience, Psychological

BACKGROUND: Epidemiological surveys on heart failure (HF) in Chinese community are relatively lacking. This study aimed to estimate the prevalence and incidence of HF among community residents in southern China. METHODS: Baseline data of this prospective study was collected from 2015 to 2017 among 12,013 permanent residents aged ≥ 35 years in Guangzhou, China. The same survey process was carried out for individuals aged ≥ 65 years after a three-year follow-up. RESULTS: The overall prevalence of HF in community residents aged ≥ 35 years was 1.06%. Male had significantly higher risk of HF prevalence [odds ratio (OR) = 1.50, P = 0.027]. The gender-adjusted risk of HF was 1.48 times higher per 10 years aging. HF prevalence was statistically associated with atrial fibrillation, valvular heart disease, hypertension and chronic obstructive pulmonary disease after adjusting for age and gender (OR = 8.30, 5.17, 1.11, 2.28, respectively; all P < 0.05). HF incidence in individuals aged ≥ 65 years were 847 per 100,000 person-years. Baseline atrial fibrillation, valvular heart disease, and diabetes mellitus were risk factors for HF incidence for individuals aged ≥ 65 years adjusting for age and gender (OR = 5.05, 3.99, 2.11, respectively; all P < 0.05). Besides, residents with new-onset atrial fibrillation and myocardial infarction were at significantly higher risk of progression to HF (OR = 14.41, 8.54, respectively; all P < 0.05). CONCLUSIONS Both pre-existing and new-onset cardiovascular diseases were associated with HF incidence in southern China. Management of related cardiovascular diseases may be helpful to reduce the incidence of HF.

Child ; Humans ; Liver Diseases ; Terminology as Topic

This study explored a new model of Prostate Imaging Reporting and Data System (PIRADS) and adjusted prostate-specific antigen density of peripheral zone (aPSADPZ) for predicting the occurrence of prostate cancer (PCa) and clinically significant prostate cancer (csPCa). The demographic and clinical characteristics of 853 patients were recorded. Prostate-specific antigen (PSA), PSA density (PSAD), PSAD of peripheral zone (PSADPZ), aPSADPZ, and peripheral zone volume ratio (PZ-ratio) were calculated and subjected to receiver operating characteristic (ROC) curve analysis. The calibration and discrimination abilities of new nomograms were verified with the calibration curve and area under the ROC curve (AUC). The clinical benefits of these models were evaluated by decision curve analysis and clinical impact curves. The AUCs of PSA, PSAD, PSADPZ, aPSADPZ, and PZ-ratio were 0.669, 0.762, 0.659, 0.812, and 0.748 for PCa diagnosis, while 0.713, 0.788, 0.694, 0.828, and 0.735 for csPCa diagnosis, respectively. All nomograms displayed higher net benefit and better overall calibration than the scenarios for predicting the occurrence of PCa or csPCa. The new model significantly improved the diagnostic accuracy of PCa (0.945 vs 0.830, P < 0.01) and csPCa (0.937 vs 0.845, P < 0.01) compared with the base model. In addition, the number of patients with PCa and csPCa predicted by the new model was in good agreement with the actual number of patients with PCa and csPCa in high-risk threshold. This study demonstrates that aPSADPZ has a higher predictive accuracy for PCa diagnosis than the conventional indicators. Combining aPSADPZ with PIRADS can improve PCa diagnosis and avoid unnecessary biopsies.
Male ; Humans ; Prostate/pathology* ; Prostate-Specific Antigen/analysis* ; Prostatic Neoplasms/diagnostic imaging* ; Biopsy ; Nomograms ; Retrospective Studies

Objective: Systematically summarize the research progress of clinical trials of gastric cancer oncology drugs and the overview of marketed drugs in China from 2012 to 2021, providing data and decision-making evidence for relevant departments. Methods: Based on the registration database of the drug clinical trial registration and information disclosure platform of Food and Drug Administration of China and the data query system of domestic and imported drugs, the information on gastric cancer drug clinical trials, investigational drugs and marketed drugs from January 1, 2012 to December 31, 2021 was analyzed, and the differences between Chinese and foreign enterprises in terms of trial scope, trial phase, treatment lines and drug type, effect and mechanism studies were compared. Results: A total of 114 drug clinical trials related to gastric tumor were registered in China from 2012 to 2021, accounting for 3.7% (114/3 041) of all anticancer drug clinical trials in the same period, the registration number showed a significant growth rate after 2016 and reached its peak with 32 trials in 2020. Among them, 85 (74.6%, 85/114) trials were initiated by Chinese pharmaceutical enterprise. Compared with foreign pharmaceutical enterprise, Chinese pharmaceutical enterprise had higher rates of phase I trials (35.3% vs 6.9%, P=0.001), but the rate of international multicenter trials (11.9% vs 67.9%, P<0.001) was relatively low. There were 76 different drugs involved in relevant clinical trials, of which 65 (85.5%) were targeted drugs. For targeted drugs, HER2 is the most common one (14 types), followed by PD-1 and multi-target VEGER. In the past ten years, 3 of 4 marketed drugs for gastric cancer treatment were domestic and included in the national medical insurance directory. Conclusions: From 2012 to 2021, China has made some progress in drug research and development for gastric carcinoma. However, compared with the serious disease burden, it is still insufficient. Targeted strengthening of research and development of investment in many aspects of gastric cancer drugs, such as new target discovery, matured target excavating, combination drug development and early line therapy promotion, is the key work in the future, especially for domestic companies.
China ; Gastrointestinal Agents/therapeutic use* ; Gastrointestinal Neoplasms ; Humans ; Pharmaceutical Preparations ; United States ; United States Food and Drug Administration

Objective: To describe the actual efficacy of programmed death-1 (PD-1)/ programmed-death ligand 1 (PD-L1) inhibitors in patients with metastatic non-small cell lung cancer (NSCLC) and explore potential prognostic predictive biomarkers. Methods: Patients with metastatic NSCLC who were treated with PD-1/PD-L1 inhibitors at Cancer Hospital, Chinese Academy of Medical Sciences from January 2016 to December 2019, either as monotherapy or in combination with other agents, were consecutively enrolled into this study. We retrospectively collected the data of demographics, clinical information and pathologic assessment to evaluate the therapeutic efficacy and conduct the survival analysis. Major endpoint of our study is progression-free survival (PFS). Secondary endpoints include objective response rate (ORR), disease control rate (DCR) and overall survival (OS). Results: The ORR of 174 patients who underwent PD-1/PD-L1 inhibitor was 28.7%, and the DCR was 79.3%. Immune-related adverse events (irAEs) occurred in 23 patients (13.2%). Brain metastasis, line of treatment, and treatment patterns were associated with the ORR of metastatic NSCLC patients who underwent immunotherapy (P<0.05). After a median follow-up duration of 18.8 months, the median PFS was 10.5 months (ranged from 1.5 to 40.8 months) while the median OS was not reached. The 2-year survival rate was estimated to be 63.0%. The pathologic type was related with the PFS of metastatic NSCLC patients who underwent immunotherapy (P=0.028). Sex, age, brain metastasis and autoimmune diseases were associated with OS (P<0.05). Analysis of the receptor characteristic curve (ROC) of neutrophil/lymphocyte ratio (NLR) predicting ORR of immunotherapy in metastatic NSCLC showed that the areas under the curve of NLR before immunotherapy (NLR(C0)), NLR after one cycle of immunotherapy (NLR(C1)) and ΔNLR were 0.600, 0.706 and 0.628, respectively. Multivariate logistic regression analysis showed that NLR(C1) was an independent factor of the ORR of metastatic NSCLC patients who underwent immunotherapy (OR=0.161, 95% CI: 0.062-0.422), and the efficacy of combination therapy was better than that of single agent (OR=0.395, 95% CI: 0.174-0.896). The immunotherapy efficacy in patients without brain metastasis was better than those with metastasis (OR=0.291, 95% CI: 0.095-0.887). Multivariate Cox regression analysis showed that NLR(C1) was an independent influencing factor of PFS of metastatic NSCLC patients after immunotherapy (HR=0.480, 95% CI: 0.303-0.759). Sex (HR=0.399, 95% CI: 0.161-0.991, P=0.048), age (HR=0.356, 95% CI: 0.170-0.745, P=0.006) were independent influencing factors of OS of metastatic NSCLC patients after immunotherapy. Conclusions: PD-1/PD-L1 inhibitors are proved to be efficacious and have tolerable toxicities for patients with metastatic NSCLC. Patients at advanced age could still benefit from immunotherapy. Brain metastasis is related to compromised response. Earlier application of immunotherapy in combination with other modalities enhances the efficacy without elevating risk of irAEs. NLR(C1) is an early predictor of clinical outcome. The OS of patients younger than 75 years may be improved when treated with immunotherapy.
B7-H1 Antigen/metabolism* ; Brain Neoplasms/drug therapy* ; Carcinoma, Non-Small-Cell Lung/pathology* ; Humans ; Immune Checkpoint Inhibitors ; Lung Neoplasms/pathology* ; Prognosis ; Programmed Cell Death 1 Receptor ; Retrospective Studies

OBJECTIVE: To identify specific Chinese medicines (CM) that may benefit patients with primary liver cancer (PLC), and to explore the mechanism of action of these medicines. METHODS: In this retrospective, singlecenter study, prescription information from PLC patients was used in combination with Traditional Chinese Medicine Inheritance Supports System to identify the specific core drugs. A system pharmacology approach was employed to explore the mechanism of action of these medicines. RESULTS: Taking CM more than 6 months was significantly associated with improved survival outcomes. In total, 77 putative targets and 116 bioactive ingredients of the core drugs were identified and included in the analysis (P<0.05). A total of 1,036 gene ontology terms were found to be enriched in PLC. A total of 75 pathways identified from Kyoto Encyclopedia of Genes and Genomes were also enriched in this disease, including fluid shear stress, interleukin-17 signaling, signaling between advanced glycan end products and their receptors, cellular senescence, tumor necrosis factor signaling, p53 signaling, cell cycle signaling, steroid hormone biosynthesis, T-helper 17 cell differentiation, and metabolism of xenobiotics by cytochrome. Docking studies suggested that the ingredients in the core drugs exert therapeutic effects in PLC by modulating c-Jun and interleukin-6. CONCLUSIONS Receiving CM for 6 months or more improves survival for the patients with PLC. The core drugs that really benefit for PLC patients likely regulates the tumor microenvironment and tumor itself.
Data Mining ; Drugs, Chinese Herbal/therapeutic use* ; Humans ; Liver Neoplasms/drug therapy* ; Medicine, Chinese Traditional ; Network Pharmacology ; Retrospective Studies ; Tumor Microenvironment

Objective:To establish a new fast and accurate method for identifying the authenticity and specifications of Fritillariae Cirrhosae Bulbus based on electronic nose technology， and to discuss the feasibility of this technology in the identification of decoction pieces. Method:Fritillariae Cirrhosae Bulbus was used as the research object， 80 batches of samples to be tested were collected， and the olfactory sensory data of the electronic nose were taken as independent variables （X）， the results of the method contained in the 2020 edition of Chinese Pharmacopoeia were taken as the focus， and the traditional empirical identification results were used as benchmarking information （Y）. Four chemometric methods， including discriminant analysis （DA）， least square support vector machine （LS-SVM）， principal component analysis-DA （PCA-DA） and partial least squares-DA （PLS-DA）， were used to establish the identification model ［Y=F（X）］ of authenticity and commodity specifications of Fritillariae Cirrhosae Bulbus， respectively. Wherein， the identification accuracy and time-consuming was taken as indicators to discuss the results. Result:After cross-verification by leave-one-out method， the correct rates of the above four models were 93.75%， 91.25%， 95.00% and 95.00%， respectively， and the PCA-DA and PLS-DA identification models were the best in terms of authenticity identification. In specification identification， the correct rates of these four models were 86.67%， 88.00%， 89.33% and 68.00%， respectively， and the PCA-DA identification model was the best. The electronic nose had a high accuracy in the identification of authenticity and specification model， and the time consuming was relatively short. Conclusion:Electronic nose technology can identify Fritillariae Cirrhosae Bulbus accurately and quickly， and has significant advantages in terms of timeliness and correct judgment rate.