Puerarin alleviates acrolein-induced atherosclerosis by activating the MYH9-mediated SIRT1/Nrf2 cascade to inhibit the activation of inflammasome.

Puerarin (Pue) has significant antioxidant and anti-inflammatory properties. This work was designed to clarify and investigate the potential mechanisms of Pue in atherosclerosis (AS) progression. In vivo, acrolein (Acr) was inhaled through drinking water to construct AS model. In vitro, CCK-8 assay and lactate dehydrogenase (LDH) assay kit were used to detect cell viability. Apoptosis was detected by flow cytometry. The content of malondialdehyde (MDA) was determined by commercial kit, the level of inflammatory factors was detected by ELISA, and proteins were determined by western blot. Pue administration could effectively reduce blood lipid level in Acr-fed mice. Pue suppressed oxidative stress, the formation of atherosclerotic plaques, and the process of aortic histological changes. Pue pretreatment decreased MDA in HUVECs and maintained the activity of antioxidant enzymes. Pue upregulated SIRT1/Nrf2 cascade in HUVECs. Pue increased MYH9 and inhibited NLRP3 inflammasome-related proteins, and the inhibition of MYH9 significantly impaired Pue-induced Nrf2 activation. Moreover, HUVEC cytotoxicity and apoptosis are alleviated by Pue, in addition to NLRP3-mediated pyroptosis in HUVECs induced by Acr. MYH9 inhibitors effectively suppressed the pyroptosis induced by Acr and prevented injury to HUVECs. In addition, Pue promoted SIRT1/Nrf2 cascade activation in HUVECs. Pue may alleviate Acr-induced AS by activating the MYH9-mediated SIRT1/Nrf2 cascade to inhibit inflammasome activation.

Platinum-Chimeric Carrier Cells for Ultratrace Cell Analysis in Mass Cytometry.

Mass cytometry by time-of-flight (CyTOF), a high-dimensional single-cell analysis platform, detects up to 50 biomarkers at single-cell resolution. However, CyTOF analysis of biological samples with a minimal number of available cells or rare cell subsets remains a major technical challenge due to the extensive loss of cells during cell recovery, staining, and acquisition. Here, we introduce a platinum-chimeric carrier cell strategy for mass cytometry profiling of ultratrace cell samples. Cisplatin can rapidly enter broken plasma membranes of dead cells and form a chimeric interaction with cellular proteins, peptides, and amino acids. Thus, 198Pt-cisplatin is adopted to tag carrier cells in the pretreatment stage. We investigated 8 cell lines that are commonly accessible in laboratories for their potential as carrier cells to preserve rare target cells for CyTOF analysis. We designed a panel of 35 protein biomarkers to evaluate the comprehensive single-cell subtype classification capability with or without the carrier cell strategy. We further demonstrated the detection and analysis of as few as 1 × 104 immune cells using our method. The proposed method thus allows CyTOF analysis on precious clinical samples with less abundant cells.

Superparamagnetic Composite Nanobeads Anchored with Molecular Glues for Ultrasensitive Label-free Proteomics.

Mass spectrometry has emerged as a mainstream technique for label-free proteomics. However, proteomic coverage for trace samples is constrained by adsorption loss during repeated elution at sample pretreatment. Here, we demonstrated superparamagnetic composite nanoparticles functionalized with molecular glues (MGs) to enrich proteins in trace human biofluid. We showed high protein binding (>95 %) and recovery (≈90 %) rates by anchor-nanoparticles. We further proposed a Streamlined Workflow based on Anchor-nanoparticles for Proteomics (SWAP) method that enabled unbiased protein capture, protein digestion and pure peptides elution in one single tube. We demonstrated SWAP to quantify over 2500 protein groups with 100 HEK 293T cells. We adopted SWAP to profile proteomics with trace aqueous humor samples from cataract (n=15) and wet age-related macular degeneration (n=8) patients, and quantified ≈1400 proteins from 5 µL aqueous humor. SWAP simplifies sample preparation steps, minimizes adsorption loss and improves protein coverage for label-free proteomics with previous trace samples.

Sickle-like Inertial Microfluidic System for Online Rare Cell Separation and Tandem Label-Free Quantitative Proteomics (Orcs-Proteomics).

Label-free proteomics with trace clinical samples provides a wealth of actionable insights for personalized medicine. Clinically acquired primary cells, such as circulating tumor cells (CTCs), are usually with low abundance that is prohibitive for conventional label-free proteomics analysis. Here, we present a sickle-like inertial microfluidic system for online rare cell separation and tandem label-free proteomics (namely, Orcs-proteomics). Orcs-proteomics adopts a buffer system with 0.1% N-dodecyl ß-d-maltoside (DDM), 1 mM Tris (2-carboxyethyl) phosphine (TCEP), and 2 mM 2-chloroacetamide (CAA) for cell lysis and reductive alkylation. We demonstrate the application of Orcs-proteomics with 293T cells and manage to identify 913, 1563, 2271, and 2770 protein groups with 4, 13, 68, and 119 cells, respectively. We then spike MCF7 cells with white blood cells (WBCs) to simulate the patient's blood sample. Orcs-proteomics identifies more than 2000 protein groups with an average of 61 MCF7 cells. We further recruit two advanced breast cancer patients and collect 5 and 7 CTCs from each patient through minimally invasive blood drawing. Orcs-proteomics manages to identify 973 and 1135 protein groups for each patient. Therefore, Orcs-proteomics empowers rare cells simultaneously to be separated and counted for proteomics and provides technical support for personalized treatment decision making with rare primary patient samples.

[Rationality evaluation of Shuanghuanglian Injection combined with Ampicillin Sodium for Injection based on sequential analysis].

The lack of rationality evaluation method for drug combination has long restricted its clinical application. In view of this, this study took Shuanghuanglian Injection as model drug and established a "physical-chemical-biological" sequential analysis method, which is expected to provide clues for improving the safety and effectiveness of clinical drug combination. With the methods of insoluble particle testing, isothermal titration calorimetry(ITC), and real time cellular analysis(RTCA), the rationality of Shuanghuanglian Injection combined with Ampicillin Sodium for Injection was assessed. The results showed that the number of insoluble particles>10 µm in the solution of the combination met the standard of Chinese Pharmacopoeia, while the number of insoluble particles>25 µm did not meet the standard. ITC detection demonstrated that the change of Gibbs free energy(ΔG) was less than 0 during the fusion process, indicating that the process was spontaneous and enthalpy-driven reaction. Therefore, the interaction between the two was mainly chemical reaction, and the internal substances may change. RTCA found that Shuanghuanglian Injection alone and Ampicillin Sodium for Injection alone basically had no inhibitory effect on the growth of HEK293 T cells, while the combination of the two suppressed the growth of HEK293 T cells, suggesting that the combination was toxic to HEK293 T cells. This study showed that Shuanghuanglian Injection and Ampicillin Sodium for Injection reacted, yielding toxicity. This suggested that the two should not be combined for application. With the "physical-chemical-biological" sequential analysis, the molecular interaction of drugs was clarified. The method can be further applied for evaluating the rationality of other Chinese and western medicine injections.

Poly (N-vinylpyrrolidone) modification mitigates plasma protein corona formation on phosphomolybdate-based nanoparticles.

Phosphomolybdate-based nanoparticles (PMo12-based NPs) have been commonly applied in nanomedicine. However, upon contact with biofluids, proteins are quickly adsorbed onto the NPs surface to form a protein corona, which induces the opsonization and facilitates the rapid clearance of the NPs by macrophage uptake. Herein, we introduce a family of structurally homologous PMo12-based NPs (CDS-PMo12@PVPx(x = 0 ~ 1) NPs) capping diverse content of zwitterionic polymer poly (N-vinylpyrrolidone) (PVP) to regulate the protein corona formation on PMo12-based NPs. The fluorescence quenching data indicate that the introduction of PVP effectively reduces the number of binding sites of proteins on PMo12-based NPs. Molecular docking simulations results show that the contact surface area and binding energy of proteins to CDS-PMo12@PVP1 NPs are smaller than the CDS-PMo12@PVP0 NPs. The liquid chromatography-tandem mass spectrometry (LC-MS/MS) is further applied to analyze and quantify the compositions of the human plasma corona formation on CDS-PMo12@PVPx(x = 0 ~ 1) NPs. The number of plasma protein groups adsorption on CDS-PMo12@PVP1 NPs, compared to CDS-PMo12@PVP0 NPs, decreases from 372 to 271. In addition, 76 differentially adsorption proteins are identified between CDS-PMo12@PVP0 and CDS-PMo12@PVP1 NPs, in which apolipoprotein is up-regulated in CDS-PMo12@PVP1 NPs. The apolipoprotein adsorption onto the NPs is proposed to have dysoponic activity and enhance the circulation time of NPs. Our findings demonstrate that PVP grafting on PMo12-based NPs is a promising strategy to improve the anti-biofouling property for PMo12-based nanodrug design.

[Exploration on rationality evaluation approach of drug combination medication based on sequential analysis and machine learning].

Drug combination is a common clinical phenomenon. However, the scientific implementation of drug combination is li-mited by the weak rational evaluation that reflects its clinical characteristics. In order to break through the limitations of existing evaluation tools, examining drug-to-drug and drug-to-target action characteristics is proposed from the physical, chemical and biological perspectives, combining clinical multicenter case resources, domestic and international drug interaction public facilities with the aim of discovering the common rules of drug combination. Machine learning technology is employed to build a system for evaluating and predicting the rationality of clinical drug combinations based on "drug characteristics-repository information-artificial intelligence" strategy, which will be debugged and validated in multi-center clinical practice, with a view to providing new ideas and technical references for the safety and efficacy of clinical drug use.

Ring finger protein 31-mediated atypical ubiquitination stabilizes forkhead box P3 and thereby stimulates regulatory T-cell function.

The CD4+CD25+FOXP3+ regulatory T (Treg) cells are critical for maintaining immune tolerance in healthy individuals and are reported to restrict anti-inflammatory responses and thereby promote tumor progression, suggesting them as a target in the development of antitumor immunotherapy. Forkhead box P3 (FOXP3) is a key transcription factor governing Treg lineage differentiation and their immune-suppressive function. Here, using Treg cells, as well as HEK-293T and Jurkat T cells, we report that the stability of FOXP3 is directly and positively regulated by the E3 ubiquitin ligase ring finger protein 31 (RNF31), which catalyzes the conjugation of atypical ubiquitin chains to the FOXP3 protein. We observed that shRNA-mediated RNF31 knockdown in human Treg cells decreases FOXP3 protein levels and increases levels of interferon-γ, resulting in a Th1 helper cell-like phenotype. Human Treg cells that ectopically expressed RNF31 displayed stronger immune-suppressive capacity, suggesting that RNF31 positively regulates both FOXP3 stability and Treg cell function. Moreover, we found that RNF31 is up-regulated in Treg cells that infiltrate human gastric tumor tissues compared with their counterparts residing in peripheral and normal tissue. We also found that elevated RNF31 expression in intratumoral Treg cells is associated with poor survival of gastric cancer patients, suggesting that RNF31 supports the immune-suppressive functions of Treg cells. Our results suggest that RNF31 could be a potential therapeutic target in immunity-based interventions against human gastric cancer.

Berberine alleviates insulin resistance by reducing peripheral branched-chain amino acids.

Increased circulating branched-chain amino acids (BCAAs) have been involved in the pathogenesis of obesity and insulin resistance (IR). However, evidence relating berberine (BBR), gut microbiota, BCAAs, and IR is limited. Here, we showed that BBR could effectively rectify steatohepatitis and glucose intolerance in high-fat diet (HFD)-fed mice. BBR reorganized gut microbiota populations under both the normal chow diet (NCD) and HFD. Particularly, BBR noticeably decreased the relative abundance of BCAA-producing bacteria, including order Clostridiales; families Streptococcaceae, Clostridiaceae, and Prevotellaceae; and genera Streptococcus and Prevotella. Compared with the HFD group, predictive metagenomics indicated a reduction in the proportion of gut microbiota genes involved in BCAA biosynthesis but the enrichment genes for BCAA degradation and transport by BBR treatment. Accordingly, the elevated serum BCAAs of HFD group were significantly decreased by BBR. Furthermore, the Western blotting results implied that BBR could promote the BCAA catabolism in the liver and epididymal white adipose tissues of HFD-fed mice by activation of the multienzyme branched-chain α-ketoacid dehydrogenase complex (BCKDC), whereas by inhibition of the phosphorylation state of BCKDHA (E1α subunit) and branched-chain α-ketoacid dehydrogenase kinase (BCKDK). The ex vivo assay further confirmed that BBR could increase BCAA catabolism in both AML12 hepatocytes and 3T3-L1 adipocytes. Finally, data from healthy subjects and diabetics confirmed that BBR could improve glycemic control and modulate circulating BCAAs. Together, our findings clarified BBR improving IR associated not only with gut microbiota alteration in BCAA biosynthesis but also with BCAA catabolism in liver and adipose tissues.

Triptonide acts as a novel antiprostate cancer agent mainly through inhibition of mTOR signaling pathway.

BACKGROUND: The increasing incidence of prostate cancer (PCa) indicates an urgent need for the development of new effective drugs in PCa therapy. Triptonide has been reported to have a strong inhibition activity in cancers through screening of Chinese herbal medicine. This study aims to investigate the effects of triptonide on anti-PCa activity and its mechanisms. METHODS: Three human advanced PCa cell lines PC3, DU145, and LNCap, and a human normal prostate epithelial cell line RWPE were treated with a range (0, 1.25, 2.5, 5, 10, 20, 40, 80, 160, and 320 nM) of triptonide concentrations for 72 hours respectively. Then, cell viability was assessed by cell counting kit-8. PCa cells were treated with different doses (0-20 nM) of triptonide for 72 hours. Cell cycle and apoptosis were assessed by flow cytometry assays. Nude mice bearing human PCa xenografts were intraperitoneally injected daily with either triptonide (10 mg/kg/d) or phosphate-buffered saline as a control for 35 days. RNA-sequencing (RNA-seq) was performed by an Illumina Hiseq Sequencing platform and confirmed by a real-time polymerase chain reaction. Gene Ontology, Kyoto Encyclopedia of Genes and Genomes pathway analysis, and ingenuity pathway analysis were used to analyze RNA-seq results. RESULTS: Triptonide effectively inhibits the proliferation of human PCa cells PC3, DU145, and LNCap in vitro with their IC50 values as 11.961, 10.259, and 12.012 nM, respectively. Triptonide (10 mg/kg) potently inhibits the growth of PCa cell xenografts in vivo at an inhibition rate of over 97.95%. Treatment with triptonide (5 nM) significantly promotes cell apoptosis and retaining cell-cycle arrest in the G2/M phase. RNA-seq data revealed that total of 936 genes were upregulated or downregulated in triptonide treated. Moreover, the phosphorylation of mechanistic target of rapamycin (mTOR) and the downstream protein p70S6K were both inhibited, most obviously in PCa cells. CONCLUSIONS: Our findings suggest that triptonide can efficaciously suppress PCa growth in vitro and in vivo via inhibiting the phosphorylation of mTOR and the activities of related downstream signaling pathways.

Regulation of T cell differentiation and function by ubiquitin-specific proteases.

T cells play critical roles in immune responses to pathogens, autoimmunity, and antitumor immunity. During the past few decades, increasing numbers of studies have demonstrated the significance of protein ubiquitination in T cell-mediated immunity. Several E3 ubiquitin ligases and deubiquitinases (DUBs) have been identified as either positive or negative regulators of T cell development and function. In this review, we mainly focus on the roles of DUBs (especially ubiquitin-specific proteases (USPs)) in modulating T cell differentiation and function, as well as the molecular mechanisms. Understanding how T cell development and function is regulated by ubiquitination and deubiquitination will provide novel strategies for treating infection, autoimmune diseases, and cancer.

Oral hydroxysafflor yellow A reduces obesity in mice by modulating the gut microbiota and serum metabolism.

Given the high and increasing prevalence of obesity, the safe and effective treatment of obesity would be beneficial. Here, we examined whether oral hydroxysafflor yellow A (HSYA), an active compound from the dried florets of Carthamus tinctorius L., can reduce high-fat (HF) diet-induced obesity in C57BL/6 J mice. Our results showed that the average body weight of HF group treated by HSYA was significantly lower than that of the HF group (P < 0.01). HSYA also reduced fat accumulation, ameliorated insulin resistance, restored glucose homeostasis, reduced inflammation, enhanced intestinal integrity, and increased short-chain fatty acids (SCFAs) production in HF diet-fed mice. Sequencing of 16S rRNA genes in fecal samples demonstrated that HSYA reversed HF diet induced gut microbiota dysbiosis. Particularly, HSYA increased the relative abundances of genera Akkermansia and Romboutsia, as well as SCFAs-producing bacteria, including genera Butyricimonas and Alloprevotella, whereas it decreased the phyla Firmicutes/Bacteroidetes ratio of HF diet-fed mice. Additionally, serum metabolomics analysis revealed that HSYA increased lysophosphatidylcholines (lysoPCs), L-carnitine and sphingomyelin, and decreased phosphatidylcholines in mice fed a HF diet, as compared to HF group. These changed metabolites were mainly linked with the pathways of glycerophospholipid metabolism and sphingolipid metabolism. Spearman's correlation analysis further revealed that Firmicutes was positively while Bacteroidetes and Akkermansia were negatively correlated with body weight, fasting serum glucose and insulin. Moreover, Akkermansia and Butyricimonas had positive correlations with lysoPCs, suggestive of the role of gut microbiota in serum metabolites. Our findings suggest HSYA may be a potential therapeutic drug for obesity and the gut microbiota may be potential territory for targeting of HSYA.

[Exploring research ideas of mechanism of dominant diseases in traditional Chinese medicine based on evidence-based medicine].

The prescription of clinical curative effect has promoted the formation and development of the dominant diseases in traditional Chinese medicine, but it has been controversial for a long time because its mechanism has not been effectively explained. Breaking the gap between animal/cell research and clinical research, and understanding the mechanism of dominant diseases in traditional Chinese medicine based on evidence-based medicine has become an important breakthrough in this scientific issue. Therefore, based on evidence-based medicine, we established the research concept that "originating from clinic, testing in experiment, returning to clinic". Taking the classic formula (Jinqi Jiangtang formula) treating diabetes as an example to find characteristic markers of diabetes supported by evidence-based medicine from clinic. We used the reverse analysis strategy of the response of characteristic markers to explore the intervention mechanism of Jinqi Jiangtang formula on characteristic markers. Then, we verified the key signaling molecules of the metabolic regulation of the Jinqi Jiangtang formula in clinic. The research ideas and key technologies for the mechanism of treatment of diabetes by Jinqi Jiangtang formula based on evidence-based medicine are formed, and it is expected to provide research reference for explaining the mechanism of dominant diseases in traditional Chinese medicine based on evidence-based medicine.

Adipose Tissue-Resident Regulatory T Cells.

Tissue-resident immune cells play critical roles in regulating tissue function and homeostasis. Obesity-associated visceral adipose tissue inflammation is attributed to the accumulation of M1 macrophages which produce inflammatory cytokines like TNF-α, IL-6, and expansion of effector T cells like Th1 cells, CD8+ cytotoxic T cells which produce interferon-γ to further add to the severity of inflammation in the visceral adipose tissue. Regulatory T cells have been reported to exert key roles in suppressing inflammation, thus maintaining the homeostasis of immune responses, and visceral adipose Tregs exert critical roles in defending against obesity-associated metabolic disorders. They inhibit the infiltration of effector T cells and facilitate the reconstitution of adipose tissue macrophages from M1 to M2 phenotype. What is more, they can take up lipids from the adipocytes through CD36 which is driven by PPARγ. Here we review the recent progress in adipose tissue-resident regulatory T cells (Tregs), a subpopulation of CD4+ T cells which suppress adipose tissue inflammation.

Enhance Cancer Cell Recognition and Overcome Drug Resistance Using Hyaluronic Acid and α-Tocopheryl Succinate Based Multifunctional Nanoparticles.

Multidrug resistance (MDR) presents a clinical obstacle to cancer chemotherapy. The main purpose of this study was to evaluate the potential of a hyaluronic acid (HA) and α-tocopheryl succinate (α-TOS) based nanoparticle to enhance cancer cell recognition and overcome MDR, and to explore the underlying mechanisms. A multifunctional nanoparticle, HTTP-50 NP, consisted of HA-α-TOS (HT) conjugate and d-α-tocopheryl polyethylene glycol succinate (TPGS) with docetaxel loaded in its hydrophobic core. The promoted tumor cell recognition and accumulation, cytotoxicity, and mitochondria-specific apoptotic pathways for the HTTP-50 NP were confirmed in MCF-7/Adr cells (P-gp-overexpressing cancer model), indicating that the formulated DTX and the conjugated α-TOS in the HTTP-50 NP could synergistically circumvent the acquired and intrinsic MDR in MCF-7/Adr cells. In vivo investigation on the MCF-7/Adr xenografted nude mice models confirmed that HTTP-50 NP possessed much higher tumor tissue accumulation and exhibited pronouncedly enhanced antiresistance tumor efficacy with reduced systemic toxicity compared with HTTP-0 NP and Taxotere. The mechanisms of the multifunctional HTTP-50 NP to overcome MDR and enhance antiresistance efficacy may be contributed by CD44 receptor-targeted delivery and P-gp efflux inhibition, and meanwhile to maximize antitumor efficacy by synergism of DTX and mitocan of α-TOS killing tumor cells.

ß-Elemene in zedoary turmeric oil injection induces dyspnea by binding to hemoglobin and upregulating HIF-1α.

ETHNOPHARMACOLOGICAL RELEVANCE: Zedoary turmeric oil injection (ZTOI) extracted from the rhizome extract of Curcuma phaeocaulis Valeton, Curcuma wenyujin Y. H. Chen et C. Ling or Curcuma kwangsiensis S. G. Lee et C. F. Liang, is widely used for the treatment of virus-induced upper respiratory tract infections, peptic ulcers, viral pneumonia, etc. However, it has attracted widespread attention because it often causes adverse drug reactions (ADRs), including dyspnea. However, little is known about the mechanism underlying dyspnea caused by ZTOI, which limits its clinical application. AIM OF THE STUDY: To investigate the major pathophysiologic signatures and underlying mechanism of ZTOI-related dyspnea. METHODS: Respiratory function detection was used to explore the pathophysiologic signature of dyspnea induced by ZTOI. UV-vis absorption spectroscopy and isothermal titration calorimetry were applied to test the interaction between ZTOI and hemoglobin (Hb). GC‒MS was used to identify the main components in ZTOI. Molecular docking, surface plasmon resonance, and circular dichroism spectroscopy were employed to test the reaction between ß-elemene and Hb. Western blot was performed to investigate the effect of ß-elemene on the hypoxia signaling pathway. RESULTS: The results showed that ZTOI-induced dyspnea was related to a decreased oxygen carrying capacity of Hb. The molecular interaction between ZTOI and Hb was proven. Notably, ß-elemene in ZTOI exhibited high binding affinity to Hb and altered its secondary structure. Furthermore, it was found that ß-elemene downregulated the expression of prolyl hydroxylase-domain protein 2 and upregulated the expression of hypoxia-inducible factor-1α. CONCLUSIONS: Our study is valuable for better understanding the pathophysiological characteristics and underlying mechanism of ZTOI to ensure its safe clinical application. We also provided a strategy to elucidate the underlying mechanism based on inspiration from clinical ADR phenotypes for investigating other medical products with ADRs in the clinic.

Attention mechanism-enhanced graph convolutional neural network for unbalanced lithology identification.

In this study, we propose a novel method for identifying lithology using an attention mechanism-enhanced graph convolutional neural network (AGCN). The aim of this method is to address the limitations of traditional approaches that evaluate unbalanced lithology by improving the identification of thin layers and small samples, while providing reliable data support for reservoir evaluation. To achieve this goal, we begin by using Principal Component Analysis (PCA) with maximum and minimum distance clustering (Max-min-distance) to correct the logging curves, which compensates for the low resolution of thin layers and enhances the accuracy of stratigraphic representation. Subsequently, we transform the logging data into graph-structured data by connecting distance similarity points and feature similarity points of the logging samples. We then use the graph convolutional network (GCN) to identify lithology, leveraging both labeled and unlabeled data to enhance the ability to identify lithology in small sample datasets. Additionally, our model incorporates a channel and spatial attention mechanism that assigns weights to the graph structure during lithology identification, improving the model's capability to discern differences across samples. To evaluate the performance of our model, we constructed a lithology dataset comprising five wells and conducted experiments. The results indicate that our approach achieves a maximum accuracy of 97.67%, surpassing the performance of a singlestructure model in lithology identification. In conclusion, our proposed method provides a promising and effective approach for unbalanced lithology identification, significantly improving accuracy levels.

Nonlinear relationship of red blood cell indices (MCH, MCHC, and MCV) with all-cause and cardiovascular mortality: A cohort study in U.S. adults.

BACKGROUND: In recent years, increasing attention has been focused on the impact of red blood cell indices (RCIs) on disease prognosis. We aimed to investigate the association of mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and mean corpuscular volume (MCV) with mortality. METHODS: The study used cohort data from U.S. adults who participated in the 1999-2008 National Health and Nutrition Examination Survey. All-cause mortality was the primary outcome during follow-up, with secondary cardiovascular mortality outcomes. COX regression was applied to analyze the connection between RCIs and mortality. We adopted three models to minimize potential bias. Smooth-fit curves and threshold effect analyses were utilized to observe the dose-response relationship between RCIs and all-cause and cardiovascular mortality. In addition, we performed sensitivity analyses. RESULTS: 21,203 individuals were enrolled in our research. During an average 166.2 ± 54.4 months follow-up, 24.4% of the population died. Curve fitting indicated a U-shaped relationship between MCV and MCH with all-cause mortality, and the relationship of MCHC to all-cause mortality is L-shaped. We identified inflection points in the relationship between MCV, MCH, and MCHC and all-cause mortality as 88.56732 fl, 30.22054 pg, 34.34624 g/dl (MCV <88.56732 fl, adjusted HR 0.99, 95 CI% 0.97-1.00; MCV >88.56732 fl, adjusted HR 1.05, 95 CI% 1.04-1.06. MCH <30.22054 pg, adjusted HR 0.95, 95 CI% 0.92-0.98; MCH >30.22054 pg, adjusted HR 1.08, 95 CI% 1.04-1.12. MCHC <34.34624 g/dl, adjusted HR 0.88, 95 CI% 0.83-0.93). Besides, the MCV curve was U-shaped in cardiovascular mortality (MCV <88.56732 fl, adjusted HR 0.97, 95 CI% 0.94-1.00; MCV >88.56732 fl, adjusted HR 1.04, 95 CI% 1.01-1.06). CONCLUSION: This cohort study demonstrated that RCIs (MCH, MCHC, and MCV) were correlated with mortality in the general population. Three RCIs were nonlinearly correlated with all-cause mortality. In addition, there were nonlinear relationships between MCH and MCV and cardiovascular mortality.

Uncovering the key pharmacodynamic material basis and possible molecular mechanism of Xiaoke formulation improve insulin resistant through a comprehensive investigation.

ETHNOPHARMACOLOGICAL RELEVANCE: Xiaoke formulation (XKF) has been utilized in clinical practice for decades in China as a treatment option for mild to moderate type 2 diabetes. However, there is still a need for systematic research to uncover the key pharmacodynamic material basis and mechanism of XKF. AIM OF THE STUDY: Aim of to investigate the distribution and metabolism of XKF in normal and insulin resistant (IR) mice were different, and elucidate its key pharmacodynamic material basis and mechanism of action. MATERIALS AND METHODS: Ultra performance liquid chromatography/time of flight mass spectrometry technology was employed to investigate the differences in XKF absorption, distribution, and metabolism between normal and IR mice across blood, liver, feces, and urine samples. Further, network pharmacology was used to predict target proteins and their associated signaling pathways. Then, molecular docking was utilized to validate the activity of key pharmacodynamic components and targets. Finally, IR HepG2 cells were used to detect the glucose consumption under the action of key pharmacodynamic material basis. In addition, the expression of phosphatidylinositol 3-kinase (PI3K), protein kinase B (AKT) and phospho-protein kinase B (p-AKT) was determined using western blotting. RESULTS: The study demonstrates significant distinctions in plasma and liver number and abundance of alkaloids, organic acids, flavonoids, iridoids and saponins between normal and IR mice when XKF was administered. Further analysis has shown that the representative components of XKF, including berberine, chlorogenic acid, calycosin, swertiamarin and astragaloside IV have significantly different metabolic pathways in plasma and liver. Prototypes and metabolites of these components were rarely detected in the urine and feces of mice. According to the network pharmacological analysis, these differential components are predicted to improve IR by targeting key factors such as SRC, JUN, HRAS, NOS3, FGF2, etc. Additionally, the signaling pathways involved in this process include PI3K-AKT pathway, GnRH signaling pathway, and T cell receptor signaling pathway. In addition, in vitro experiments indicate that berberine and its metabolites (berberine and demethyleneberine), chlorogenic acid and its metabolites (3-O-ferulic quinic acid and 5-O-ferulic quinic acid), calycosin and swertiamarin could improve IR in IR-HepG2 cells by elevating the expression of PI3K and AKT, leading to an increase in glucose consumption. CONCLUSION: The key pharmacodynamic material basis of XKF, such as berberine and its metabolites (berberrubine and demethyleneberberine), chlorogenic acid and its metabolites (3-O-feruloylquinic acid and 5-O-feruloylquinic acid), calycosin and swertiamarin influence the glucose metabolism disorder of IR-HepG2 cells by regulating the PI3K/AKT signalling pathway, leading to an improvement in IR.

The mouse multi-organ proteome from infancy to adulthood.

The early-life organ development and maturation shape the fundamental blueprint for later-life phenotype. However, a multi-organ proteome atlas from infancy to adulthood is currently not available. Herein, we present a comprehensive proteomic analysis of ten mouse organs (brain, heart, lung, liver, kidney, spleen, stomach, intestine, muscle and skin) at three crucial developmental stages (1-, 4- and 8-weeks after birth) acquired using data-independent acquisition mass spectrometry. We detect and quantify 11,533 protein groups across the ten organs and obtain 115 age-related differentially expressed protein groups that are co-expressed in all organs from infancy to adulthood. We find that spliceosome proteins prevalently play crucial regulatory roles in the early-life development of multiple organs, and detect organ-specific expression patterns and sexual dimorphism. This multi-organ proteome atlas provides a fundamental resource for understanding the molecular mechanisms underlying early-life organ development and maturation.