Prediction nomogram based on 18F-FDG PET/CT and clinical parameters for patients with diffuse large B-cell lymphoma.

The objective of this study was to develop a nomogram including parameters assessed by 18F-FDG PET/CT and clinical parameters for patients with diffuse large B-cell lymphoma (DLBCL) to predict progression-free survival (PFS). A total of 181 patients with pathologically diagnosed DLBCL at Sichuan Cancer Hospital and Institute from March 2015 to December 2020 were enrolled in this retrospective study. The area under the receiver operating characteristic (ROC) curve (AUC) was used to calculate the optimal cutoff values of the semiquantitative parameters (SUVmax, TLG, MTV, and Dmax) for PFS. A nomogram was constructed according to multivariate Cox proportional hazards regression. The predictive and discriminatory capacities of the nomogram were then measured using the concordance index (C-index), calibration plots, and Kaplan-Meier curves. The predictive and discriminatory capacities of the nomogram and the International Prognostic Index of the National Comprehensive Cancer Network (NCCN-IPI) were compared via the C-index and AUC. Multivariate analysis demonstrated that male gender and pretreatment Ann Arbor stage III-IV, non-GCB, elevated lactate dehydrogenase (LDH), number of extranodal organ involvement (Neo)>1, MTV≥152.8 cm3, and Dmax ≥53.9 cm were associated with unfavorable PFS (all p<0.05). The nomogram, including gender, Ann Arbor stage, pathology type, Neo, LDH levels, MTV, and Dmax, showed good prediction accuracy, with a C-index of 0.760 (95% CI: 0.727-0.793), which was higher than that of NCCN-IPI (0.710; 95% CI: 0.669-751). The calibration plots for 2-year demonstrated good consistency between the predicted and observed probabilities for survival time. We established a nomogram including MTV, Dmax, and several clinical parameters to predict the PFS of patients with DLBCL, and the nomogram showed better predictability and higher accuracy than NCCN-IPI.

[The Prognosis Assessment Value of Interim 18F-FDG PET/CT Imaging in the Chemotherapy of Diffuse Large B-cell Lymphoma].

OBJECTIVE: To investigate the prognostic value of interim 18F-FDG PET/CT in patients with diffuse large B-cell lymphoma (DLBCL). METHODS: A total of 97 patients with pathologically diagnosed DLBCL at Sichuan Cancer Hospital and Institute from March 2015 to June 2020 were enrolled in this retrospective study. Receiver operating characteristic analysis (ROC) was used to calculate the optimum maximum standard uptake value reduction ratio (△SUVmax%) cut-off value. The prognostic value of △SUVmax% and Deauville five-point scale (5-PS) in patients with DLBCL was compared, and the determined prognostic factors were analyzed. RESULTS: ROC curve indicated that the optimum △SUV max% cut-off value was 74.9%. Patients with △SUVmax%≥74.9% had a lower rate of progression or recurrence than those with △SUVmax% < 74.9% (both P<0.001). Meanwhile, patients with 5-PS score < 4 also had a lower rate of progression or recurrence than those with 5-PS score≥4 (both P<0.001). △SUVmax% and 5-PS had high specificity (83.7% vs 83.7%) and negative predictive value (87.3% vs 84.9%), while low sensitivity (56.0% vs 52.2%) and positive predictive value (53.8% vs 50.0%). △SUVmax% was more sensitive than 5-PS for the corresponding parameters (78.3% vs 76.2%). Univariate analysis showed that Ann Arbor stage, international prognostic index of National Comprehensive Cancer Network (NCCN-IPI), △SUVmax% and 5-PS were associated with TTP and PFS (all P<0.001). Multivariate analysis showed that △SUVmax% was an independent predictor of TTP and PFS (P=0.031, P=0.023). CONCLUSION: Both 5-PS and △SUVmax% can be used to evaluate the prognosis of DLBCL patients, but the predictive value of △SUVmax% is superior to that of 5-PS.

Ginseng under forest exerts stronger anti-aging effects compared to garden ginseng probably via regulating PI3K/AKT/mTOR pathway, SIRT1/NF-κB pathway and intestinal flora.

BACKGROUND: Ginseng is deemed to be an effective anti-aging therapy. Evidence for differences in representative active ingredients and anti-aging effects between garden ginseng (GG) and ginseng under forest (FG) is insufficient. PURPOSE: The study was designed to systematically analyze the differences in the mechanistic protective effects of GG and FG on aging mice based on their compositional differences. METHODS: The chemical ingredients in GG and FG were first determined. In vivo, D-galactose-induced aging mice were orally administered GG or FG (400 mg/kg/day) for 6 weeks. Behavioral parameters of mice were measured by the radial 8-arm maze, and the changes in body weight and organ indices were recorded. Blood, brain tissue, and feces were collected for biochemical analysis, histopathological staining, Western blotting, and 16S rDNA intestinal flora sequencing, respectively. RESULTS: The absolute contents of total ginsenosides, polyphenols, crude polysaccharides, starch, and protein in GG were 0.71, 0.68, 1.15, 2.27, and 1.08 folds higher than those in FG, respectively; while FG exhibited a higher relative abundance of representative active ingredients (total ginsenosides, polyphenols, crude polysaccharides, and protein) but lower relative content of starch than GG. GG and FG improved hippocampal lesions and poor weight gain, organ indices, and behavioral indices, and prevented excessive oxidative stress and acetylcholinesterase activity in aging mice. What's more, GG and FG treatment ameliorated excessive apoptosis and inflammatory reaction in the aging brain by modulating apoptosis-related proteins, PI3K/AKT/mTOR pathway, and SIRT1/NF-κB pathway. GG and FG also restored the diversity and structure of gut microbiota, up-regulated the relative abundance of beneficial bacteria (e.g., Lactobacillus), and tended to exert key anti-aging effects via the microbiota-gut-brain axis. Notably, in vivo experiments confirmed that FG had a stronger anti-aging activity than GG. CONCLUSION: FG exerts a more powerful anti-aging effect than GG by regulating oxidative stress, apoptosis, inflammation, and the microbe-gut-brain axis, possibly relying on the higher relative abundance of representative active ingredients (total ginsenosides, polyphenols, crude polysaccharides, and protein) in FG.

Red ginseng has stronger anti-aging effects compared to ginseng possibly due to its regulation of oxidative stress and the gut microbiota.

BACKGROUND: Panax ginseng (PG) and red ginseng (RG) are considered to be effective anti-aging treatments. However, evidence of their therapeutic mechanisms and difference in anti-aging effects is lacking. PURPOSE: To explore the potential therapeutic mechanisms of RG and PG in brain damage in D-Gal-induced aging mice, and evaluate the difference in anti-aging effects caused by their compositional differences. METHODS: We first tested the chemical components in PG and RG. In D-Gal aging mouse model, RG and PG (800 mg/kg) were orally administered for 9 weeks. The mice performed the Radial Arm Maze (RAM) behavior test. We collected blood, brain tissue, and fecal samples and performed biochemical analysis, histological examination, western blot, and Illumina MiSeq sequencing analysis. RESULTS: The results of component analysis showed that the total polyphenols and rare ginsenosides were present in RG in 3.2, and 2.2 fold greater concentrations, respectively, compared to PG, while the proportion of non-starch polysaccharides in the crude polysaccharides of RG was 1.94 fold greater than that of PG. In D-Gal-induced aging mice, both PG and RG could prevent the increase in acetylcholinesterase (AChE), and malondialdehyde (MDA) levels, and improved the expression of superoxide dismutase (SOD), and catalase (CAT) in the serum. Meanwhile, both PG and RG could ameliorate brain tissue architecture and behavioral trial. In addition, the D-Gal-induced translocation of nuclear factor-κB (NF-κB), as well as activation of the pro-apoptotic factors Caspase-3 and the PI3K/Akt pathways were inhibited by PG and RG. Overall, both PG and RG exerted anti-aging effects, with RG stronger than PG. Finally, although both PG and RG regulated the diversity of gut microbes, RG appeared to aggravate the increase in probiotics, such as Bifidobacterium and Akkermania, and the decrease in inflammatory bacteria to a greater extent compared to PG. CONCLUSION: Our results suggest that RG is more conducive to delay the D-Gal-induced aging process than PG, with possible mechanisms including beneficial changes in brain structure, cognitive functions, oxidative stress inhibition, and gut microbiome structure and diversity than PG, These mechanisms may rely on the presence of more total polyphenols, rare ginsenosides and non-starch polysaccharides in RG.

Identification of hub genes and small molecule therapeutic drugs related to breast cancer with comprehensive bioinformatics analysis.

Breast cancer is one of the most common malignant tumors among women worldwide and has a high morbidity and mortality. This research aimed to identify hub genes and small molecule drugs for breast cancer by integrated bioinformatics analysis. After downloading multiple gene expression datasets from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) database, 283 overlapping differentially expressed genes (DEGs) significantly enriched in different cancer-related functions and pathways were obtained using LIMMA, VennDiagram and ClusterProfiler packages of R. We then analyzed the topology of protein-protein interaction (PPI) network with overlapping DEGs and further obtained six hub genes (RRM2, CDC20, CCNB2, BUB1B, CDK1, and CCNA2) from the network via STRING and Cytoscape. Subsequently, we conducted genes expression verification, genetic alterations evaluation, immune infiltration prediction, clinicopathological parameters analysis, identification of transcriptional and post-transcriptional regulatory molecules, and survival analysis for these hub genes. Meanwhile, 29 possible drug candidates (e.g., Cladribine, Gallium nitrate, Alvocidib, 1ß-hydroxyalantolactone, Berberine hydrochloride, Nitidine chloride) were identified from the DGIdb database and the GSE85871 dataset. In addition, some transcription factors and miRNAs (e.g., E2F1, PTTG1, TP53, ZBTB16, hsa-miR-130a-3p, hsa-miR-204-5p) targeting hub genes were identified as key regulators in the progression of breast cancer. In conclusion, our study identified six hub genes and 29 potential drug candidates for breast cancer. These findings may advance understanding regarding the diagnosis, prognosis and treatment of breast cancer.

Monoester-Diterpene Aconitum Alkaloid Metabolism in Human Liver Microsomes: Predominant Role of CYP3A4 and CYP3A5.

Aconitum, widely used to treat rheumatoid arthritis for thousands of years, is a toxic herb that can frequently cause fatal cardiac poisoning. Aconitum toxicity could be decreased by properly hydrolyzing diester-diterpene alkaloids into monoester-diterpene alkaloids. Monoester-diterpene alkaloids, including benzoylaconine (BAC), benzoylmesaconine (BMA), and benzoylhypaconine (BHA), are the primary active and toxic constituents of processed Aconitum. Cytochrome P450 (CYP) enzymes protect the human body by functioning as the defense line that limits the invasion of toxicants. Our purposes were to identify the CYP metabolites of BAC, BMA, and BHA in human liver microsomes and to distinguish which isozymes are responsible for their metabolism through the use of chemical inhibitors, monoclonal antibodies, and cDNA-expressed CYP enzyme. High-resolution mass spectrometry was used to characterize the metabolites. A total of 7, 8, and 9 metabolites were detected for BAC, BMA, and BHA, respectively. The main metabolic pathways were demethylation, dehydrogenation, demethylation-dehydrogenation, hydroxylation and didemethylation, which produced less toxic metabolites by decomposing the group responsible for the toxicity of the parent compound. Taken together, the results of the chemical inhibitors, monoclonal antibodies, and cDNA-expressed CYP enzymes experiments demonstrated that CYP3A4 and CYP3A5 have essential functions in the metabolism of BAC, BMA, and BHA.

Pharmacokinetic characterization of oxymatrine and matrine in rats after oral administration of radix Sophorae tonkinensis extract and oxymatrine by sensitive and robust UPLC-MS/MS method.

The purpose of this study is to systematically investigate the pharmacokinetic (PK) behaviors of radix Sophorae tonkinensis (S. tonkinensis) using oxymatrine (OMT) and matrine (MT) as the target markers (2 mg/kg OMT and 1.3 mg/kg MT, oral administration). The PK characteristics in radix S. tonkinensis extracts were also compared with those of pure OMT. A fast ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) method was developed. OMT absorption was very fast, and no significant differences were observed (p>0.05) in tmax, CL, and t1/2 for both pure OMT and extracts. Cmax and AUC0→∞ of pure OMT were significantly higher than those of S. tonkinensis extracts (Cmax, 61.64±6.65 vs. 43.24±10.14 ng/mL; AUC, 9894.48±2234.99 vs. 4730.30±3503.8 min ng/mL) (p<0.05). However, the absolute OMT bioavailability of pure OMT was higher than that of the compound in radix S. tonkinensis extracts (6.79±2.52% vs. 1.87±2.66%). By contrast, the bioavailability of total alkaloids (OMT+MT) after pure OMT administration was 81.14±8.83%, similar to that of radix S. tonkinensis extracts (69.36±17.37%) (p>0.05). It was presumed that OMT absorption has no effect on the bioavailability of the two alkaloids. Other constituents in radix S. tonkinensis extracts can influence the transformation of OMT to MT, which directly leads to variations in the PK behavior of OMT. In addition, the protein binding of OMT and MT in plasma was very low (4.80%-8.95% for OMT, 5.10-10.55% for MT). In conclusion, OMT in radix S. tonkinensis extracts exhibits different PK behaviors with pure OMT through the transformation of OMT to MT due to other complex ingredients.