Lipidomics and mass spectrometry imaging unveil alterations in mice hippocampus lipid composition exposed to hypoxia.

Lipids are components of cytomembranes that are involved in various biochemical processes. High-altitude hypoxic environments not only affect the body's energy metabolism, but these environments can also cause abnormal lipid metabolism involved in the hypoxia-induced cognitive impairment. Thus, comprehensive lipidomic profiling of the brain tissue is an essential step toward understanding the mechanism of cognitive impairment induced by hypoxic exposure. In the present study, mice showed reduced new-object recognition and spatial memory when exposed to hypobaric hypoxia for 1 day. Histomorphological staining revealed significant morphological and structural damage to the hippocampal tissue, along with prolonged exposure to hypobaric hypoxia. Dynamic lipidomics of the mouse hippocampus showed a significant shift in both the type and distribution of phospholipids, as verified by spatial lipid mapping. Collectively, a diverse and dynamic lipid composition in mice hippocampus was uncovered, which deepens our understanding of biochemical changes during sustained hypoxic exposure and could provide new insights into the cognitive decline induced by high-altitude hypoxia exposure.

p53 lysine-lactylated modification contributes to lipopolysaccharide-induced proinflammatory activation in BV2 cell under hypoxic conditions.

p53 has diversity functions in regulation of transcription, cell proliferation, cancer metastasis, etc. Recent studies have shown that p53 and nuclear factor-κB (NF-κB) co-regulate proinflammatory responses in macrophages. However, the role of p53 lysine lactylation (p53Kla) in mediating proinflammatory phenotypes in microglia under hypoxic conditions remains unclear. In the current study, we investigated the proinflammatory activation exacerbated by hypoxia and the levels of p53Kla in microglial cells. BV2 cells, an immortalized mouse microglia cell line, were divided into control, lipopolysaccharide (LPS)-induced, hypoxia (Hy), and LPS-Hy groups. The protein expression levels of p53 and p53Kla and the activation of microglia were compared among the four groups. Sodium oxamate and mutant p53 plasmids were transfected into BV2 cells to detect the effect of p53Kla on microglial proinflammatory activation. LPS-Hy stimulation significantly upregulated p53Kla levels in both the nucleus and the cytoplasm of BV2 cells. In contrast, the p53 protein levels were downregulated. LPS-Hy stimulation upregulated phosphorylated p65 protein levels in nuclear and activated the NF-κB pathway in BV2 cells, resulting in increased expression of pro-inflammatory cytokines (iNOS, IL6, IL1ß, TNFα), enhanced cell viability, and concomitantly, increased cytotoxicity. In conclusion, p53 lysine-lactylated modification contributes to LPS-induced proinflammatory activation in BV2 cells under hypoxia through NF-κB pathway and inhibition of lactate production may alleviate neuroinflammatory injury.

Gypenoside-14 Reduces Depression via Downregulation of the Nuclear Factor Kappa B (NF-kB) Signaling Pathway on the Lipopolysaccharide (LPS)-Induced Depression Model.

Neuroinflammation is a common pathogenetic sign of depression and is closely linked to the development of depression. Many clinical anti-inflammatory drugs act as antidepressants by reducing the neuroinflammatory response. Previous research found that gypenosides and their bioactive compound gypenoside-14 (GP-14) had neuroprotective effects against hypoxia-induced injury and reduced neuroinflammation-related high-altitude cerebral edema. Here we investigated the effects of GP-14 on the lipopolysaccharide (LPS)-induced depression-like behavior model. LPS (0.5 mg/kg) was injected into mice intraperitoneally for 7 consecutive days to induce depression-like behavior, which is considered a model for the exacerbation of depression. GP-14 in the amount of 100 mg/kg was simultaneously administered by gavage for 7 days. In the LPS-induced depression model, GP-14 not only attenuated depression-like behavior but also improved the anxiety-like behavior of the mice. Additionally, GP-14 treatment mitigated learning and cognitive decline in depressed mice. ELISA and immunofluorescence staining results revealed that GP-14 inhibited the upregulation of pro-inflammatory cytokines, including tumor necrosis factor-α (TNF-α), interleukin-1ß (IL-1ß), and interleukin-6 (IL-6), and suppressed the activation of astrocytes induced with LPS, indicating its potent anti-inflammatory effect. GP-14 pretreatment in C8 cells and primary astrocytes can inhibit the activation of the NF-κB signaling pathway and downregulate the levels of pro-inflammatory factors. In summary, our findings showed that GP-14 had significant anti-inflammation and anti-depression properties; thus, GP-14 could be a promising lead compound for treating depression.

Expression profile of cytokines and chemokines in a mouse high-altitude cerebral edema model.

INTRODUCTION: High-altitude cerebral edema (HACE) is considered to be the end-stage of acute mountain sickness (AMS); however, its pathophysiological mechanism remains unknown. Increasing evidences support that inflammation is an important risk factor for the occurrence of HACE. Including our published papers, previous studies demonstrated that the levels of IL-6, IL-1ß, and TNF-α in both serum and hippocampus were increased in the mouse HACE model induced by LPS stimulation combined with hypobaric hypoxia exposure; however, the expression profile of other cytokines and chemokines remains unknown. OBJECTIVE: This study was to analyze the expression profile of cytokines and chemokines in the HACE model. METHODS: The mouse HACE model was established by LPS stimulation combined with hypobaric hypoxia exposure (LH). The mice were divided into the normoxic group, LH-6 h group, LH-1 d group, and LH-7 d group. Brain water content (BWC) was determined using the wet/dry weight ratio. The levels of 30 cytokines and chemokines in the serum and hippocampal tissue were detected using LiquiChip. The mRNA expression of cytokines and chemokines in hippocampal tissue were determined by q-PCR. RESULTS: In the current study, we found that the brain water content was increased after the combinational treatment of LPS and hypobaric hypoxia. The results of LiquiChip showed that, in the serum and hippocampal tissue, most factors in all 30 cytokines and chemokines were dramatically upregulated at 6 h, and then declined at the 1st d and 7th d. Among these factors, G-CSF, M-CSF, MCP-1, KC, MIG, Eotaxin, Rantes, IP10, IL-6, MIP-2, and MIP-1ß were all increased in both serum and hippocampal tissue at 6 h. In addition, the results of q-PCR showed the mRNA levels of G-CSF, MCP-1, KC, MIG, Eotaxin, Rantes, IP10, IL-6, MIP-2, and MIP-1ß in hippocampal tissue were dramatically upregulated at 6 h. CONCLUSION: This study showed that the dynamic expression profile of 30 cytokines and chemokines in a mouse HACE model induced by LPS plus hypobaric hypoxia. The levels of G-CSF, MCP-1, KC, MIG, Eotaxin, Rantes, IP10, IL-6, MIP-2, and MIP-1ß in both serum and hippocampus were significantly increased at 6 h, which may be involved in the occurrence and development of HACE.

Metabolomic analysis of human plasma sample after exposed to high altitude and return to sea level.

When ascending to high altitude, it is a rigorous challenge to people who living in the low altitude area to acclimatize to hypoxic environment. Hypoxia exposure can cause dramatic disturbances of metabolism. This longitudinal cohort study was conducted to delineate the plasma metabolomics profile following exposure to altitude environments and explore potential metabolic changes after return to low altitude area. 25 healthy volunteers living in the low altitude area (Nor; 40m) were transported to high altitude (HA; 3,650m) for a 7-day sojourn before transported back to the low altitude area (HAP; 40m). Plasma samples were collected on the day before ascending to HA, the third day on HA(day 3) and the fourteenth day after returning to low altitude(14 day) and analyzed using UHPLC-MS/MS tools and then the data were subjected to multivariate statistical analyses. There were 737 metabolites were obtained in plasma samples with 133 significantly changed metabolites. We screened 13 differential metabolites that were significantly changed under hypoxia exposure; enriched metabolic pathways under hypoxia exposure including tryptophan metabolism, purine metabolism, regulation of lipolysis in adipocytes; We verified and relatively quantified eight targeted candidate metabolites including adenosine, guanosine, inosine, xanthurenic acid, 5-oxo-ETE, raffinose, indole-3-acetic acid and biotin for the Nor and HA group. Most of the metabolites recovered when returning to the low altitude area, however, there were still 6 metabolites that were affected by hypoxia exposure. It is apparent that high-altitude exposure alters the metabolic characteristics and two weeks after returning to the low altitude area a small portion of metabolites was still affected by high-altitude exposure, which indicated that high-altitude exposure had a long-term impact on metabolism. This present longitudinal cohort study demonstrated that metabolomics can be a useful tool to monitor metabolic changes exposed to high altitude, providing new insight in the attendant health problem that occur in response to high altitude.

Cyclooxygenase­2 contributes to the hypoxia­induced aggravation of the neuroinflammation response stimulated by lipopolysaccharide in microglia.

Hypoxia and neuroinflammation are key risk factors involved in various pathophysiological neural disorders. Hypoxia can aggravate neuroinflammation in vitro and in vivo; however, the underlying mechanisms remain unknown. In the present study, hypoxia [either 3 or 1% oxygen (O2)] increased lipopolysaccharide (LPS)-induced expression of the IL-6, IL-1ß and TNF-α proinflammatory cytokines in BV2 cells. At the molecular level, both hypoxia and FG-4592, an hypoxia inducible factor 1 pathway activator, effectively induced cyclooxygenase-2 (COX-2) expression. The COX-2 inhibitor celecoxib significantly reduced the expression of cytokines induced by LPS under hypoxic conditions. Additionally, the administration of celecoxib inhibited the activation of microglia as well as cytokine expression in mice administered with hypoxia exposure and LPS injection. The present data demonstrated that COX-2 is involved in the hypoxia-induced aggravation of neuroinflammation stimulated by LPS.

How Does Digital Media Search for COVID-19 Influence Vaccine Hesitancy? Exploring the Trade-off between Google Trends, Infodemics, Conspiracy Beliefs and Religious Fatalism.

Digital media has remained problematic during COVID-19 because it has been the source of false and unverified facts. This was particularly evident in the widespread misinformation and confusion regarding the COVID-19 vaccine. Past research suggested infodemics, conspiracy beliefs, and religious fatalism as potential threats to public COVID-19 vaccine hesitancy. However, the literature is primarily void of empirical evidence associating demographic attributes with efforts to build vaccine hesitancy. Therefore, this research uses two studies: (Study 1) Google Trends and (Study 2) survey method to provide inclusive empirical insight into public use of digital media during COVID-19 and the detrimental effects of infodemics, conspiracy beliefs, and religious fatalism as they were related to building COVID-19 vaccine hesitancy. Using Google Trends based on popular keywords the public searched over one year, Study 1 explores public digital media use during COVID-19. Drawing on this exploration, Study 2 used a cross-sectional national representative survey of 2120 adult Pakistanis to describe the influence of potential hazards such as infodemics on public vaccine hesitancy. Study 2 revealed that infodemics, conspiracy beliefs, and religious fatalism predict vaccine hesitancy. In addition, gender moderates the relationship between infodemics and conspiracy beliefs and vaccine hesitancy. This implies that there is a dispositional effect of the infodemics and conspiracy beliefs spread digitally. This study's findings benefit health and other concerned authorities to help them reduce religious fatalism, vaccine hesitancy, and conspiracy theories with targeted communication campaigns on digital media.

Effects of water quality and bacterial community composition on dissolved organic matter structure in Daihai lake and the mechanisms.

The migration of organic matter in salinized lakes was critical in maintaining ecological balance and material circulation process of inland shallow lakes. To clarify the ecological and microbial mechanism of material transport and transformation, the microbial community structure and the characteristics of dissolved organic matter (DOM) in the sediment of Daihai Lake, a typical saline lake at the Yellow River Basin, were explored with three-dimensional excitation and emission matrix fluorescence (3DEEM), parallel factor analysis (PARAFAC) and 16 S rRNA techniques. The correlation between environmental factors, DOM composition and the bacterial community structure were also studied for identifying the key factors of community formation. DOM in the lake demonstrated both terrigenous and endogenous characteristics. Protein-like materials accounted for 74% of the total fluorescence intensity in the sediment, where 1127 species, 671 genera, 468 families, 157 classes, 317 orders, 59 phyla of microorganisms were detected. Among the top 10 abundant taxa of each level, Firmicutes, Actinobacterota, Acidimicrobiia and Alphaproteobacteria had the greatest influence on the composition and structure of DOM (|R| > 0.7, p < 0.01). Microbial metabolism was a key process of transforming sediment organic matter from terrestrial humic-like to protein-like matter, accounting for 81% of total fluorescence signal in saline lake samples, while salinity, temperature, dissolved oxygen and electrical conductivity also had significant impacts during the process (|R|>0.7, p < 0.05). The research provides fundamental data and enlightenment for the improvement of the saline inland lake environment.

Metagenomic analysis of microbial community structure and distribution of resistance genes in Daihai Lake, China.

The emergence of resistance genes is a global phenomenon that poses a significant threat to both animals and humans. Lakes are important reservoirs of genes that confer resistant to antibiotics and metals. In this study, we investigated the distribution and diversity of antibiotic resistance genes (ARGs) and metal resistance genes (MRGs) in the sediment of Daihai Lake using high-throughput sequencing and metagenomic analysis. The results indicated that all sampling sites had similar bacterial community structures, with Proteobacteria, Actinobacteria, Firmicutes, and Bacteroidetes being the most abundant. A total of 16 ARG types containing 111 ARG subtypes were deposited in the sediment. Among the resistance genes to bacitracin, multidrug, macrolide-lincosamide-streptogramin (MLS), tetracycline, beta-lactam, and sulfonamide were the dominant ARG types, accounting for 89.9-94.3% of the total ARGs. Additionally, 15 MRG types consisting of 146 MRG subtypes were identified. In all samples, MRGs of the same type presented resistance to Pb, Ni, Hg, W, Zn, Ag, Cr, Fe, As, Cu, and multimetals. Overall, the distribution and diversity of antibiotic and metal resistance genes showed no significant differences in the samples. Plasmids (91.03-91.82%) were the most dominant mobile genetic elements in the sediments of Daihai Lake. Network analysis indicated that the target ARGs and MRGs were significantly positively correlated with the microorganisms. Potential hosts for various ARGs and MRGs include Proteobacteria, Euryarchaeota, Actinobacteria, Chloroflexi, and Bacteroidetes.

Evaluation of the infrared frying on the physicochemical properties of fried apple slices and the deterioration of oil.

The influence of infrared frying (IF) on the physicochemical properties of fried apple slices and the oil deterioration was investigated, considering conventional frying (CF) as a reference. IF had a more favorable impact on the heating rate and thermal efficiency, which subsequently resulted an accelerated moisture removal rate. The oil uptake in infrared-fried apple slices were reduced by 12.9%-17.3%, when compared to the CF, as attributed to the denser and smoother morphological microstructure. The color of apple slices was better preserved in IF and the total phenolic and flavonoid contents had a higher retention rate with the optimal infrared power (2000 W in this study). Additionally, infrared frying was proved to be a promising technology to slow down the oil deterioration rate as was observed from lower values of acid value, and carbonyl value, which was also supported by the results of gas chromatography, FT-IR, and LF-NMR analysis.

Identifying diabetes from conjunctival images using a novel hierarchical multi-task network.

Diabetes can cause microvessel impairment. However, these conjunctival pathological changes are not easily recognized, limiting their potential as independent diagnostic indicators. Therefore, we designed a deep learning model to explore the relationship between conjunctival features and diabetes, and to advance automated identification of diabetes through conjunctival images. Images were collected from patients with type 2 diabetes and healthy volunteers. A hierarchical multi-tasking network model (HMT-Net) was developed using conjunctival images, and the model was systematically evaluated and compared with other algorithms. The sensitivity, specificity, and accuracy of the HMT-Net model to identify diabetes were 78.70%, 69.08%, and 75.15%, respectively. The performance of the HMT-Net model was significantly better than that of ophthalmologists. The model allowed sensitive and rapid discrimination by assessment of conjunctival images and can be potentially useful for identifying diabetes.

Recent advances in physical fields-based frying techniques for enhanced efficiency and quality attributes.

Frying is one of the most common units in food processing and catering worldwide, which involves simultaneous physicochemical and structural changes. However, the problems of traditional frying technology, such as low thermal utilization and poor processing efficiency, have been gradually exposed to industrial production. In this paper, strategies of applying physical fields, such as pressure field, electromagnetic field, and acoustic field in frying technology separately or synergistically with improved efficiency and quality attributes are reviewed. The role of physical fields in the frying process was discussed with modifications in heat and mass transfer and porous structures. The effects of physical fields and their processing parameters on moisture loss kinetics, oil uptake, texture, color, and nutrients retention of fried food are introduced, respectively. Recent advances in multi-physical field-based frying techniques were recommended with synergistic benefits. Furthermore, the trends and challenges that could further develop the multi-physical field-based frying techniques are proposed, showing further commercial prospects for the purpose. The application of physical fields has brought new inspiration to the exploitation of efficient and high-qualified frying technologies, while higher technical levels and economic costs need to be taken into consideration.HighlightsThe role of physical fields in pretreatments and frying process were reviewed.The mechanism of physics fields on frying efficiency and quality was summarized.The physicochemical and microstructure changes by physics fields were discussed.The synergy of physical fields in frying technology were outlined.The trends for further multi-physical field-based frying techniques were proposed.

Diagnostic accuracy and prognostic significance of osteopontin in liver cirrhosis and hepatocellular carcinoma: a Meta-analysis.

OBJECTIVE: At present, there is no definite suggestion about effective tumour biomarkers for the diagnostic accuracy and prognostic significance of hepatocellular carcinoma (HCC) and liver cirrhosis (LC). The aim of our research was to determine the value of the tumour biomarker osteopontin (OPN), which is encoded by the Spp1 gene, in the diagnosis, prognosis and development of HCC and LC through meta-analysis. METHODS: A systematic literature search was performed in the PubMed, Embase, Cochrane Library and China National Knowledge Infrastructure electronic databases up to March 2021. Studies evaluating the diagnostic and/or prognostic value of OPN in HCC and/or LC were included. RESULTS: From the systematic search, 35 studies including 9150 participants were eligible, 25 of which provided data on the diagnostic value of OPN overexpression, while 15 studies provided data on the prognostic value. OPN had high diagnostic accuracy in both HCC and LC patients compared with healthy controls, and the diagnostic efficiency was increased by the biomarker combination OPN + AFP. CONCLUSIONS: OPN may be adopted as a promising predictive tumour biomarker for the diagnosis and prognosis of HCC and LC and may be a potential therapeutic target.

Differential metabolic responses in breast cancer cell lines to acidosis and lactic acidosis revealed by stable isotope assisted metabolomics.

Extracellular acidosis is considered as a hallmark of most human tumors, which plays an important role in promoting tumor malignant and aggressive phenotype in tumorigenesis. Acidosis and lactic acidosis can induce different responses in tumors. Previous studies have associated the response to lactic acidosis of tumors with good survival outcomes. In this study, we investigated the metabolomic changes in triple negative and luminal subtype breast cancer cell lines in response to acidosis and lactic acidosis. Our results showed that acidosis results in the reduction of cell viability and glycolysis in breast cancer cells, which is reversely correlated with the malignancy of cell lines. Under lactic acidosis, this reduction is reversed slightly. Untargeted metabolomic profiling revealed that glutaminolysis and fatty acid synthesis in cancer cells under acidosis are increased, while TCA cycle and glycolysis are decreased. Under lactic acidosis, the pentose phosphate pathway and acetate release are increased in MDA-MB-231 cells. The current results uncovered the different metabolic responses of breast cancer cells to acidosis and lactic acidosis, demonstrating the power of combined untargeted and stable isotope assisted metabolomics in comprehensive metabolomic analysis.

A novel synthetic chitosan selenate (CS) induces apoptosis in A549 lung cancer cells via the Fas/FasL pathway.

Selenium is important to human health, particularly for immune response and cancer prevention. Chitosan has good biocompatibility and low toxicity. In this paper, we synthesized chitosan selenate (CS), a novel therapeutic compound, using chitosan and selenium. CS synthesis was evaluated using FTIR, which verified the presence of a characteristic SeO absorption peak at 892 cm-1, and with HPGPC, which calculated the molecular weight as approximately 41.8 kDa. Next, we evaluated the proliferation-inhibitory and apoptosis-inducing effects of CS on lung cancer A549 cells and explored its potential molecular mechanisms. MTT assay indicated that CS could significantly inhibit A549 cells viability in a dose-dependent manner. Typical morphological features of apoptosis were observed by Hoechst staining in A549 cells treated with CS, and Annexin V-FITC/PI staining confirmed that CS induced cell death via apoptosis and not necrosis. Cell cycle detection showed that CS triggered S and G2/M phase arrest in a dose-dependent manner. Finally, western blot analysis indicated that CS up-regulated the expression levels of Fas, FasL, and Fadd; subsequently, activated the caspase cascade in A549 cells. These results show that CS induces apoptosis in A549 cells via the Fas/FasL signaling pathway, and has potential chemopreventive effects for lung cancer treatment.

Antitumor activity of selenium modification of the bovine milk component ß-Lg (Se-ß-Lg) on H22 cells.

In this study, the apoptosis induction and antitumor activity of a novel complex, seleno-ß-lactoglobulin (Se-ß-Lg), on H22 cells were explored. In in vitro experiments, the MTT assay showed that Se-ß-Lg was cytotoxic to H22 cells in a concentration- and time-dependent manner and displayed few proliferation inhibition effects on normal liver L02 cells. Annexin V-FITC/PI and PI staining assays showed that Se-ß-Lg induced apoptosis changes of H22 cells from early to late apoptosis and led to S phase cell cycle arrest. Western blot and Z-VAD-FMK inhibitor assays showed that Se-ß-Lg triggered the Fas/FasL-mediated caspase 8-dependent extrinsic death receptor pathway in H22 cells. In in vivo experiments, Se-ß-Lg effectively repressed the growth of transplanted H22 solid tumors in a dose-dependent manner and exhibited few toxic effects on the host animals. H&E and PI staining of tumor tissues showed that Se-ß-Lg caused the occurrence of typical apoptosis morphology features and dose-dependently increased the proportion of apoptosis peaks (Sub-G1 peak) in H22 solid tumors. These results suggest that Se-ß-Lg has the capacity to induce H22 tumor cell apoptosis in vitro and in vivo and support that Se-ß-Lg can be applied as a functional complex in food.

Holistic evaluation of San-Huang Tablets using a combination of multi-wavelength quantitative fingerprinting and radical-scavenging assays.

The present study was designed to establish a multi-wavelength quantitative fingerprinting method for San-Huang Tablets (SHT), a widely used and commercially available herbal preparation, where high performance liquid chromatography (HPLC) with a diode array detector (DAD) was employed to obtain the fingerprint profiles. A simple linear quantitative fingerprint method (SLQFM) coupled with multi-ingredient simultaneous determination was developed to evaluate the quality consistency of the tested samples qualitatively and quantitatively. Additionally, the component-activity relationship between chromatographic fingerprints and total radical-scavenging capacity in vitro (as assessed using the 1, 1-diphenyl-2-picrylhydrazyl (DPPH) assay) was investigated by partial least squares regression (PLSR) analysis to predict the antioxidant capacity of new samples from the chromatographic fingerprints and identify the main active constituents that can be used as the target markers for the quality control of SHT. In conclusion, the strategy developed in the present study was effective and reliable, which can be employed for holistic evaluation and accurate discrimination for the quality consistency of SHT preparations and other traditional Chinese medicine (TCM) and herbal preparations as well.

Quantitative analysis combined with chromatographic fingerprint and antioxidant activities for the comprehensive evaluation of Compound Danshen Tablets.

The composition of traditional Chinese medicine is extremely complex, so it is difficult to ensure quality consistency. We took Compound Danshen Tablets as the object of the study, by using high-performance liquid chromatography to establish multiwavelength fusion fingerprints. Characteristic fingerprints of 30 batches of samples were generated at four wavelengths and evaluated by systematic quantified fingerprint method. An on-line antioxidant determination method was used for the determination of the antioxidant components in Compound Danshen Tablets. The fingerprint analysis of the marker compounds can reflect the content of the marker compounds, which were determined by using the external standard method. This study elucidated that multiwavelength fusion fingerprint profiles and multiple markers compound analysis in conjunction with the assay of antioxidant activity offered a reliable and efficient approach to quantitatively evaluate the quality consistency of the traditional Chinese medicine and herbal preparations.

Monitoring and evaluating the quality consistency of Compound Bismuth Aluminate tablets by a simple quantified ratio fingerprint method combined with simultaneous determination of five compounds and correlated with antioxidant activities.

A combination method of multi-wavelength fingerprinting and multi-component quantification by high performance liquid chromatography (HPLC) coupled with diode array detector (DAD) was developed and validated to monitor and evaluate the quality consistency of herbal medicines (HM) in the classical preparation Compound Bismuth Aluminate tablets (CBAT). The validation results demonstrated that our method met the requirements of fingerprint analysis and quantification analysis with suitable linearity, precision, accuracy, limits of detection (LOD) and limits of quantification (LOQ). In the fingerprint assessments, rather than using conventional qualitative "Similarity" as a criterion, the simple quantified ratio fingerprint method (SQRFM) was recommended, which has an important quantified fingerprint advantage over the "Similarity" approach. SQRFM qualitatively and quantitatively offers the scientific criteria for traditional Chinese medicines (TCM)/HM quality pyramid and warning gate in terms of three parameters. In order to combine the comprehensive characterization of multi-wavelength fingerprints, an integrated fingerprint assessment strategy based on information entropy was set up involving a super-information characteristic digitized parameter of fingerprints, which reveals the total entropy value and absolute information amount about the fingerprints and, thus, offers an excellent method for fingerprint integration. The correlation results between quantified fingerprints and quantitative determination of 5 marker compounds, including glycyrrhizic acid (GLY), liquiritin (LQ), isoliquiritigenin (ILG), isoliquiritin (ILQ) and isoliquiritin apioside (ILA), indicated that multi-component quantification could be replaced by quantified fingerprints. The Fenton reaction was employed to determine the antioxidant activities of CBAT samples in vitro, and they were correlated with HPLC fingerprint components using the partial least squares regression (PLSR) method. In summary, the method of multi-wavelength fingerprints combined with antioxidant activities has been proved to be a feasible and scientific procedure for monitoring and evaluating the quality consistency of CBAT.