[Analysis of absorbed constituents and network pharmacology research of Xiaoer Fupi Granules].

Xiaoer Fupi Granules, a refined version of the classical prescription Shenling Baizhu Powder, has the effect of invigora-ting spleen, replenishing Qi, harmonizing stomach and resolving accumulation and is commonly used to treat Qi deficiency in spleen and stomach, disordered transportation and transformation, and indigestion of children. However, its medicinal constituents and mechanism remain unclear. We studied the main active constituents and action mechanism of Xiaoer Fupi Granules by integrating network pharmacology and prototype constituent analysis in vivo. This study will help to increase the reliability of database analysis results and lay a foundation for precise medication and mining of quality control markers. On the basis of Bioinformatics Analysis Tool for Molecular mechanism of Traditional Chinese Medicine(BATMAN-TCM), the "key chemical constituents-target" network was constructed. Ultra-performance liquid chromatography coupled with linear ion trap-orbitrap mass spectrometry(UPLC-LTQ-Orbitrap-MS) was employed to analyze the absorbed constituents in rat urine and plasma, so as to validate the network. Further, we used BATMAN-TCM to construct the "absorbed constituents-target-pathway" network and explore the functioning mechanism of Xiaoer Fupi Granules. A total of 86 chemical constituents of Xiaoer Fupi Granules were predicted via BATMAN-TCM, among which only 18.6% were detected in rat plasma and urine. Accor-ding to the "absorbed constituents-target-pathway" network, 8 chemical constituents such as stearic acid and caprylic acid capable of regulating gastric acid and insulin secretion may be the critical constituents of Xiaoer Fupi Granules in invigorating spleen and harmonizing stomach. This study identified the critical active constituents and predicted the action mechanism of Xiaoer Fupi Granules, providing the reference for the research on the material basis of Xiaoer Fupi Granules.

Signature-oriented investigation of the efficacy of multicomponent drugs against heart failure.

Increasing attention has been paid to the application of precision medicine in heart failure (HF), and biomarker-based personalized medical care has shown great progress in HF management. Additionally, multicomponent drugs represented by traditional Chinese medicine (TCM) are demonstrating safety and efficacy in the management of HF. However, the potential mechanism is unclear, and the ambiguous clinical locations of TCM remain a hindrance to its extensive application. To meet this requirement, a precise investigation on the efficacy of multicomponent drugs against HF using the signature biomarkers-oriented approach was developed and applied to a conventional drug for cardiac disease, YiXinShu (YXS). On the basis of in vitro and in vivo efficacy evaluation of YXS against HF, and with the aid of proteomics and network pharmacology approaches, specific signatures regulated by YXS against HF were identified. YXS may show distinctive treatment features for those HF patients showing the elevation of fatty acid-binding protein 3 and cytoskeleton-associated protein 5, as well as other classic HF biomarkers. This study provides the first precise investigation of the efficacy of multicomponent drugs against HF and offers a practicable and low-cost approach for personalized management of HF.-Wei, J., Guo, F., Zhang, M., Xian, M., Wang, T., Gao, J., Wu, H., Song, L., Zhang, Y., Li, D., Yang, H., Huang, L. Signature-oriented investigation of the efficacy of multicomponent drugs against heart failure.

Exploration of the mechanism of traditional Chinese medicine by AI approach using unsupervised machine learning for cellular functional similarity of compounds in heterogeneous networks, XiaoErFuPi granules as an example.

'Polypharmacology' is usually used to describe the network-wide effect of a single compound, but traditional Chinese medicine (TCM) has a polypharmacological effect naturally based on the 'multi-components, multi-targets and multi-pathways' principle. It is a challenge to investigate the polypharmacology mechanism of TCM with multiple components. In this study, we used XiaoErFuPi (XEFP) granules as an example to describe an unsupervised learning strategy for polypharmacology research of TCM and to explore the mechanism of XEFP polypharmacology against multifactorial disease function dyspepsia (FD). Unsupervised clustering of compounds based on similarity evaluation of cellular function fingerprints showed that compounds of TCM without similar targets and chemical structure could also exert similar therapeutic effects on the same disease, as different targets participate in the same pathway closely associated with the pathological process. In this study, we proposed an unsupervised machine learning strategy for exploring the polypharmacology-based mechanism of TCM, utilizing hierarchical clustering based on cellular functional similarity, to establish a connection from the chemical clustering module to cellular function. Meanwhile, FDA-approved drugs against FD were used as references for the mechanism of action (MoA) of FD. First, according to the compound-compound network built by the similarity of cellular function of XEFP compounds and FDA-approved FD drugs, the possible therapeutic function of TCM may represent a known mechanism of FDA-approved drugs. Then, as unsupervised learning, hierarchical clustering of TCM compounds based on cellular function fingerprint similarity could help to classify the compounds into several modules with similar therapeutic functions to investigate the polypharmacology effect of TCM. Furthermore, the integration of quantitative omics data of TCM and approved drugs (from LINCS datasets) provides more quantitative evidence for TCM therapeutic function consistency with approved drugs. A spasmolytic activity experiment was launched to confirm vanillic acid activity to repress smooth muscle contraction; vanillic acid was also predicted to be active compound of XEFP, supporting the accuracy of our strategy. In summary, the approach proposed in this study provides a new unsupervised learning strategy for polypharmacological research investigating TCM by establishing a connection between the compound functional module and drug-activated cellular processes shared with FDA-approved drugs, which may elucidate the unique mechanism of traditional medicine using FDA-approved drugs as references, facilitate the discovery of potential active compounds of TCM and provide new insights into complex diseases.

[Possible pharmaceutical effect and active components in different parts of Eucommia ulmoides based on network pharmacology].

The difference in pharmacological activities and active components between leaves, barks and flowers of Eucommia ulmoides(EU) are still unclear. However, clarifying the differences in pharmacological effects of different parts of EU is of great significance for the development of EU products, and their corresponding active components provide basis for quality control of different parts of EU. Based on the chemical compositions of different parts of EU, integrated strategy of target prediction and target analysis of the compounds was used to investigate the difference in the pharmacological effects of leaves, barks and followers. The "component-target-function" association network was constructed to mine the specific material basis corresponding to specific efficacy of different parts of EU. In this study, the author found that EU may have the activities of anti-oxidation, neuromodulation, blood pressure regulation, myo-cardial expansion, and anti-apoptosis according to target prediction and function analysis. However, the effects of different parts of EU were different. Leaves were involved in the process of bone development such as osteoblast differentiation and bone mineralization in a specific way. In addition, the leaves may affect the process of bone development by regulating the metabolism of vitamin D and affecting the absorption of calcium. Leaves may also specifically act on estrogen and estradiol response processes where estrogen receptors were involved. Regarding its protective function for the liver, leaves may play a role by regulating vitamin A-related pathways. As compared with leaves, the specific pharmacological effects of barks may be related to the development of the urinary system. Flowers specifically participate in functions related to pain sensation, glutamate signaling pathway, and excitatory postsynaptic potential. Based on the hie-rarchical network of "component-target-pathway", we further found that specific activities of different parts of EU were inseparable from its specific chemical compositions. Phenylpropanoids, terpenoids and rings, iridoids, flavonoids and other components which are specific in leaves can target the specific effects of leaves, while the flavonoids in barks and the quinones in flowers may be the material basis for their respective specific effects. The prediction of the activities of different parts of EU provides a new basis for the focuses and differences in subsequent Eucommia product development. At the same time, the material basis research based on differential efficacy also provides a basis for the quality control of Eucommia differentiated products.

[Research advances in chemical constituents and pharmacological activities of different parts of Eucommia ulmoides].

To date, 205 compounds have been identified from different medicinal parts of Eucommia ulmoides, including lignans, iridoid terpenoids, phenols, flavonoids, terpenoids and steroids, polysaccharides and others. Their pharmacological effects include blood pressure-lowering, blood sugar-lowering, blood lipids-regulating, prevention of osteoporosis, anti-inflammation, liver protection, anti-cancer and so on. Their efficacy and mechanism from different parts are slightly different. In this paper, the chemical composition, pharmacological action and mechanism of different parts of E. ulmoides were systematically summarized, as well as its quality control and processing research, to provide theoretical basis for further rational development and utilization of E. ulmoides.

Proteomic Investigations of Transcription Factors Critical in Geniposide-Mediated Suppression of Alcoholic Steatosis and in Overdose-Induced Hepatotoxicity on Liver in Rats.

Alcoholic steatosis is one of the most prevalent forms of liver disease, and appropriate insight and application of anti-steatosis drugs must be considered. Geniposide, the major active constituent of the Gardenia jasminoides (Ellis) fruit, has been commonly used as a traditional herbal medicine for the treatment of liver diseases. However, its hepatoprotective effect on alcoholic steatosis has not been reported. Moreover, geniposide overdose-induced hepatotoxicity was demonstrated. Hence, its therapeutic effects and overdose-induced hepatotoxicity in rat models along with corresponding targets, especially the targets of transcription factors (TFs), were systematically investigated in this study by using a concatenated tandem array of consensus TF response elements. The results indicate that geniposide can attenuate alcoholic steatosis and liver injury by enhancing the transcriptional activities of peroxisome proliferator-activated receptor-α and hepatocyte nuclear factors 1α and 4α, while geniposide overdose perturbs other TFs. In addition, therapeutic doses and overdoses of geniposide have differentiated target TFs. This study is the first to provide a systematic insight into the difference of critical transcription factors between the actions of therapeutic doses and overdoses of geniposide, as well as much-needed attention to the important topic of alcoholic liver disease therapy.

[Marker genes of geniposide-induced hepatotoxicity based on genomic strategy].

The aim of this paper was to screen out relevant genes of geniposide-induced hepatotoxicity based on genomics,in order to provide a scientific basis for the non-clinical evaluation of drugs containing Gardeniae Fructus and geniposide. Fifty-five SD rats were randomly divided into normal control group,24 h group and 72 h group. The changes of appearance,behavior and weight of rats were observed after administration by gavage for 3 days. The activities of ALT and AST were detected. Molecular mechanism of geniposideinduced hepatotoxicity was investigated by Affymetrix miRNA 4. 0 and Affymetrix Rat Gene 2. 0 to examine the gene expression levels in Sprague-Dawley rat livers at 24 h and 72 h after administration of overdose-geniposide( 300 mg·kg-1 daily),and then verified by Realtime quantitative PCR. Compared with the normal control group,the activities of ALT and AST were markedly increased. In addition,experimental results indicated that 324 genes were differentially expressed,among which 259 were up-regulated and 65 down-regulated.Nine candidate genes were verified by qRT-PCR,including Bcl2,Il1 b,Tpm3,MMP2,Col1α1,Ifit1,Aldob,Nr0 b2,Cyp2 c23. And Bcl2,Col1α1,Aldob,Nr0 b2 and Cyp2 c23 were found to be correlated with geniposide-induced hepatotoxicity. This study provides an important clue for mechanism of geniposide-induced hepatotoxicity.

Single-Molecule Measurement of Adsorption Free Energy at the Solid-Liquid Interface.

Adsorption plays a critical role in surface and interface processes. Fractional surface coverage and adsorption free energy are two essential parameters of molecular adsorption. However, although adsorption at the solid-gas interface has been well-studied, and some adsorption models were proposed more than a century ago, challenges remain for the experimental investigation of molecular adsorption at the solid-liquid interface. Herein, we report the statistical and quantitative single-molecule measurement of adsorption at the solid-liquid interface by using the single-molecule break junction technique. The fractional surface coverage was extracted from the analysis of junction formation probability so that the adsorption free energy could be calculated by referring to the Langmuir isotherm. In the case of three prototypical molecules with terminal methylthio, pyridyl, and amino groups, the adsorption free energies were found to be 32.5, 33.9, and 28.3 kJ mol-1 , respectively, which are consistent with DFT calculations.

Physiological Content and Intrinsic Activities of 10 Cytochrome P450 Isoforms in Human Normal Liver Microsomes.

Due to a lack of physiologic cytochrome P450 (P450) isoform content, P450 activity is typically only determined at the microsomal level (per milligram of microsomal protein) and not at the isoform level (per picomole of P450 isoform), which could result in the misunderstanding of variations in P450 activity between individuals and further hinder development of personalized medicine. We found that there were large variations in protein content, mRNA levels, and intrinsic activities of the 10 P450s in 100 human liver samples, in which CYP2E1 and CYP2C9 showed the highest expression levels. P450 gene polymorphisms had different effects on activity at two levels: CYP3A5*3 and CYP2A6*9 alleles conferred increased activity at the isoform level but decreased activity at the microsomal level; CYP2C9*3 had no effect at the isoform level but decreased activity at the microsomal level. The different effects at each level stem from the different effects of each polymorphism on the resulting P450 protein. Individuals with CYP2A6*1/*4, CYP2A6*1/*9, CYP2C9*1/*3, CYP2D6 100C>T TT, CYP2E1 7632T>A AA, CYP3A5*1*3, and CYP3A5*3*3 genotypes had significantly lower protein content, whereas CYP2D6 1661G>C mutants had a higher protein content. In conclusion, we first offered the physiologic data of 10 P450 isoform contents and found that some single nucleotide polymorphisms had obvious effects on P450 expression in human normal livers. The effects of gene polymorphisms on intrinsic P450 activity at the isoform level were quite different from those at the microsomal level, which might be due to changes in P450 protein content.

[Analysis on composition principles of formulae containing Gardeniae Fructus in dictionary of traditional Chinese medicine prescriptions].

Gardeniae Fructus, which is widely used in health foods and clinical medicines, is a type of edible food and medicine. Dictionary of traditional Chinese medicine prescriptions provides good materials for prescription analysis and the R&D of traditional Chinese medicines. The composition regularity of formulae containing Gardeniae Fructus in dictionary of traditional Chinese medicine prescriptions was analyzed on the basis of the traditional Chinese medicine inheritance support system(TCMISS), in order to provide reference for clinical application and the R&D of new drugs. TCMISS was applied to establish a database of prescriptions containing Gardeniae Fructus. The software's frequency statistics and association rules and other date mining technologies were adopted to analyze commonly used drugs, combination rules and core combined formulae containing Gardeniae Fructus. Totally 3 523 prescriptions were included in this study and involved 1 725 Chinese herbs. With a support degree of 352(10%) and confidence coefficient of 90%, 57 most commonly used drug combinations were screened. Drugs adopted in core combinations were relatively concentrated and selected according to definite composition methods. They were used to mainly treat 18 diseases. Gardeniae Fructus have often been combined with herbs for heat-clearing and detoxification, expelling pathogenic wind, relieving exterior syndrome, invigorating the circulation of blood and gas and promoting blood circulation for removing blood stasis to mainly treat jaundice, typhoid, headache and other syndromes.

A fast workflow for identification and quantification of proteomes.

The current in-depth proteomics makes use of long chromatography gradient to get access to more peptides for protein identification, resulting in covering of as many as 8000 mammalian gene products in 3 days of mass spectrometer running time. Here we report a fast sequencing (Fast-seq) workflow of the use of dual reverse phase high performance liquid chromatography - mass spectrometry (HPLC-MS) with a short gradient to achieve the same proteome coverage in 0.5 day. We adapted this workflow to a quantitative version (Fast quantification, Fast-quan) that was compatible to large-scale protein quantification. We subjected two identical samples to the Fast-quan workflow, which allowed us to systematically evaluate different parameters that impact the sensitivity and accuracy of the workflow. Using the statistics of significant test, we unraveled the existence of substantial falsely quantified differential proteins and estimated correlation of false quantification rate and parameters that are applied in label-free quantification. We optimized the setting of parameters that may substantially minimize the rate of falsely quantified differential proteins, and further applied them on a real biological process. With improved efficiency and throughput, we expect that the Fast-seq/Fast-quan workflow, allowing pair wise comparison of two proteomes in 1 day may make MS available to the masses and impact biomedical research in a positive way.

Proteomic investigation of signatures for geniposide-induced hepatotoxicity.

Evaluating the safety of traditional medicinal herbs and their major active constituents is critical for their widespread usage. Geniposide, a major active constituent with a defined structure from the traditional medicinal herb Gardenia jasminoides ELLIS fruit, exhibits remarkable anti-inflammatory, antiapoptotic, and antifibrotic properties and has been used in a variety of medical fields, mainly for the treatment of liver diseases. However, geniposide-induced hepatotoxicity and methods for the early detection of hepatotoxicity have yet to be reported. In this study, geniposide-induced hepatotoxicity was investigated. In addition, candidate biomarkers for the earlier detection of geniposide-induced hepatotoxicity were identified using a label-free quantitative proteomics approach on a geniposide overdose-induced liver injury in a rat model. Using an accurate intensity-based, absolute quantification (iBAQ)-based, one-step discovery and verification approach, a candidate biomarker panel was easily obtained from individual samples in response to different conditions. To determine the biomarkers' early detection abilities, five candidate biomarkers were selected and tested using enzyme-linked immunosorbent assays (ELISAs). Two biomarkers, glycine N-methyltransferase (GNMT) and glycogen phosphorylase (PYGL), were found to indicate hepatic injuries significantly earlier than the current gold standard liver biomarker. This study provides a first insight into geniposide-induced hepatotoxicity in a rat model and describes a method for the earlier detection of this hepatotoxicity, facilitating the efficient monitoring of drug-induced hepatotoxicity.

High-throughput absolute quantification of proteins using an improved two-dimensional reversed-phase separation and quantification concatemer (QconCAT) approach.

Stable isotope dilution-selective reaction monitoring-mass spectrometry (SID-SRM-MS) has been widely used for the absolute quantitative analysis of proteins. However, when performing the large-scale absolute quantification of proteins from a more complex tissue sample, such as mouse liver, in addition to a high-throughput approach for the preparation and calibration of large amounts of stable-isotope-labelled internal standards, a more powerful separation method prior to SRM analysis is also urgently needed. To address these challenges, a high-throughput absolute quantification strategy based on an improved two-dimensional reversed-phase (2D RP) separation and quantification concatemer (QconCAT) approach is presented in this study. This strategy can be used to perform the simultaneous quantification of hundreds of proteins from mouse liver within one week of total MS measurement time. By using calibrated synthesised peptides from the protein glutathione S-transferase (GST), large amounts of GST-tagged QconCAT internal standards corresponding to hundreds of proteins can be accurately and rapidly quantified. Additionally, using an improved 2D RP separation method, a mixture containing a digested sample and QconCAT standards can be efficiently separated and absolutely quantified. When a maximum gradient of 72 min is employed in the first LC dimension, resulting in 72 fractions, identification and absolute quantification experiments for all fractions can be completed within one week of total MS measurement time. The quantification approach developed here can further extend the dynamic range and increase the analytical sensitivity of SRM analysis of complex tissue samples, thereby helping to increase the coverage of absolute quantification in a whole proteome.

Investigation of the efficacy of Dengzhan Shengmai capsule against heart failure with preserved ejection fraction.

ETHNOPHARMACOLOGICAL RELEVANCE: Heart failure with preserved ejection fraction (HFpEF) has emerged as a condition with high incidence and mortality rates in recent years. Dengzhan Shengmai capsule (DZSMC) is a Chinese patent medicine based on the classic recipe "Shengmai powder". The relevant Chinese medicine ratio of Erigeron breviscapus (Vaniot) Hand.-Mazz., Panax ginseng C.A.Mey., Schisandra chinensis (Turcz.) Baill., and Ophiopogon japonicus (Thunb.) Ker Gawl. Is 30 : 6: 6 : 11. Traditional Chinese medicine (TCM) is being increasingly explored as a safe and effective treatment modality for HFpEF. Clinical studies have shown that DZSMCs can effectively treat heart failure, however, the mechanism of action of DZSMCs in the treatment of HFpEF are still not clear. AIM OF THE STUDY: To investigate the efficacy and underlying mechanisms of Dengzhan Shengmai capsule (DZSMC), in the treatment of HFpEF by focusing on its ability to treat microvascular inflammation. MATERIALS AND METHODS: First, the efficacy of DZSMCs against HFpEF was predicted by network pharmacology. After 3 days of adaptive feeding in SPF-grade polypropylene cages, the mice in the Model group, DZSMC group, and Captopli group underwent single kidney resection, and micropumps were implanted in their backs for continuous infusion of aldosterone at a rate of 0.3 µg/h for 4 weeks. Moreover, the mice were given DZSMCs or Captopli via oral gavage for four weeks. Overall, cardiac function was evaluated in mice, and cardiac ultrasound and blood biochemical indices were evaluated in HFpEF mice. RESULTS: DZSMCs can ameliorate myocardial hypertrophy and cardiomyocyte damage caused by excessive myocardial stress, ultimately mitigating long-term cardiac impairment; it aids in the restoration of myocardial fibre proliferation and enhances mitochondrial morphology and function. In a murine model of ventricular hypertrophy and left ventricular dysfunction, which are indicative of cardiac insufficiency, the administration of DZSMCs resulted in notable improvements. Echocardiographic and overall assessments of cardiac function revealed a reduction in cardiac dysfunction and ventricular hypertrophy post-DZSMC intervention. Moreover, intervention with DZSMCs led to a reduction in the serum levels of several markers associated with chronic systemic inflammation, such as sST2, IL1RL1, CRP, and IL-6. Simultaneously, the levels of indicators of microvascular inflammation, including VCAM and E-SELECTIN, also decreased following DZSMC intervention. These findings suggest the potential multifaceted impact of DZSMCs in alleviating cardiac abnormalities, mitigating systemic inflammation, and reducing microvascular inflammatory markers, highlighting their promising therapeutic role in managing myocardial health. CONCLUSIONS: These results provide novel evidence that DZSMCs improve HFpEF by regulating microvascular inflammation.

Qualitative and quantitative expression status of the human chromosome 20 genes in cancer tissues and the representative cell lines.

Under the guidance of the Chromosome-centric Human Proteome Project (C-HPP), (1, 2) we conducted a systematic survey of the expression status of genes located at human chromosome 20 (Chr.20) in three cancer tissues, gastric, colon, and liver carcinoma, and their representative cell lines. We have globally profiled proteomes in these samples with combined technology of LC-MS/MS and acquired the corresponding mRNA information upon RNA-seq and RNAchip. In total, 323 unique proteins were identified, covering 60% of the coding genes (323/547) in Chr.20. With regards to qualitative information of proteomics, we overall evaluated the correlation of the identified Chr.20 proteins with target genes of transcription factors or of microRNA, conserved genes and cancer-related genes. As for quantitative information, the expression abundances of Chr.20 genes were found to be almost consistent in both tissues and cell lines of mRNA in all individual chromosome regions, whereas those of Chr.20 proteins in cells are different from tissues, especially in the region of 20q13.33. Furthermore, the abundances of Chr.20 proteins were hierarchically evaluated according to tissue- or cancer-related distribution. The analysis revealed several cancer-related proteins in Chr.20 are tissue- or cell-type dependent. With integration of all the acquired data, for the first time we established a solid database of the Chr.20 proteome.

Metal-tag labeling coupled with multiple reaction monitoring-mass spectrometry for absolute quantitation of proteins.

Mass spectrometry-based quantitative proteomics, consisting of relative and absolute parts, has been used to discover and validate proteins with key functions related to physiological and pathological processes. Currently, stable isotope dilution-multiple reaction monitoring-mass spectrometry (SID-MRM-MS) is the most commonly used method for the absolute determination of proteins in a biological sample. A prerequisite for this method is obtaining internal standards with isotope labels. Although many approaches have been developed for the labeling and preparation of internal peptides, expensive stable isotope labeling coupled with SID-MRM-MS has limited the application and development of an absolute quantitative method. Recently, a low-cost strategy using metal-tag labeling and MS has been developed for relative quantification of peptides or proteins. The introduction of labeling using metal tags has the merits of allowing multiple labeling and enlarging the mass shift to overcome the overlap of adjacent isotope clusters. However, most papers described MRM-MS for protein absolute quantification based on the metal in its peptides labelled with metal by inductively coupled plasma mass spectrometry (ICP MS) but not on its peptides labelled with metal. In this work, a novel approach based on metal-tag labeling coupled with MRM-MS was established for the absolute quantification of peptides or proteins. The principle of the method is that a bifunctional chelator, 1,4,7,10-tetraazacyclododecane-1,4,7,10-tetraacetic acid bearing an N-hydroxysuccinimide ester (DOTA-NHS ester), is used to modify the N-termini of signature peptides from a target protein, and the modified peptides then chelate a certain metal, such as thulium, to form metal-tagged peptides (Tm-DOTA-P). Internal peptides are chemically synthesized and labeled with another metal, such as terbium (Tb-DOTA-P), as the internal standard. Both the Tb-DOTA- and Tm-DOTA-labeled peptides in samples can be analysed via MRM-MS. The experimental results show that the accuracy (%RE) and precision (%RSD) of the approach are both below 15%, and the lower limit of quantification (LOQ) is 0.8 fmol µL(-1), with good linearity (R(2) > 0.99) observed covering the range of 2 orders of magnitude. Furthermore, one protein, enolase, in an extract from Thermoanaerobacter tengcongensis was successfully quantified, which demonstrates that this novel absolute quantification method is a new strategy for simple, rapid, low-cost and accurate absolute protein quantification in a complex biological sample.

Effect of perioperative acupoint electrical stimulation on macrophages in mice under operative stress.

The strong perioperative stress response caused by surgical anesthesia can significantly suppress immune function, and the body is in a state of immunosuppression for 3 to 4 days after surgery, which leads to an increase in the probability of postoperative infection. Traditional Chinese medicine believes that acupuncture points can "reconcile yin and yang", promote the recovery of immune function, and help reduce the incidence of postoperative infection. Macrophages are an important type of immune cells that participate in the body's innate immunity. They have powerful phagocytosis and clearance functions. They can be polarized into M1 and M2 types under the regulation of the body, and play different roles in fighting microbial infections. Among them, the M1 type can participate in the elimination of pathogens. In this study, we will investigate the perioperative acupoint electrical stimulation to alleviate the immunosuppressive state of surgical stress mice, clarify the regulation of perioperative acupoint electrical stimulation on glucocorticoids and the relationship between NF-κB molecules and macrophage polarization.The key molecules of related pathways were verified by glucocorticoid receptor inhibitors, and it was found that electrical stimulation of acupoints during the perioperative period can affect the polarization of macrophages in surgically stressed mice to the M1 type by reducing the level of glucocorticoids and promoting the expression of NF κB molecules. Further reveal the partial mechanism of electroacupuncture regulating the anti-inflammatory and pro-inflammatory processes of macrophages in the immune response.

Comparison of ultrasound-guided and traditional localisation in intraspinal anesthesia: a systematic review and network meta-analysis.

OBJECTIVES: The optimal puncture technique for neuraxial anaesthesia in different populations is unclear. We sought to obtain data from randomised controlled trials comparing the impact of ultrasound-guided technology and traditional positioning technology on the success rate of neuraxial anaesthesia. DESIGN: Systematic review and network meta-analysis using study populations, interventions, intervention comparisons, outcome measures and study types. DATA SOURCES: PubMed, Embase, Cochrane Library and Web of science were searched until 31 September 2022. ELIGIBILITY CRITERIA: We included randomised controlled trials comparing three types of neuraxial anaesthesia: ultrasound-assisted, ultrasound real-time guidance and conventional positioning to describe which neuraxial anaesthesia modality is best for patients and to recommend the appropriate one for different populations. DATA EXTRACTION AND SYNTHESIS: Five independent reviewers retrieved, screened and edited included studies using standardised methods. Assess risk of bias using the Cochrane Collaboration and Evidence Project tools. Network meta-analysis was performed using STATA V.15 statistical software. RESULTS: Twenty-two studies containing three different interventions were included. The SUCRA values of first-pass success rates for the three neuraxial anaesthesia methods were real-time guidance (82.8%), ultrasound-assisted (67.1%) and traditional positioning (0.1%). Both ultrasound techniques improved first-pass success rates compared with traditional localization, but there was no significant difference between the two. Subgroup analysis showed that the use of real-time ultrasound guidance for neuraxial anaesthesia in pregnant and patients with obesity improved first-pass success rates. Ultrasound-assisted technology can improve first-attempt success rates in older patients with abnormal lumbar spine anatomy. CONCLUSION: Compared with conventional positioning, ultrasound guidance technology can improve the first-pass success rate of neuraxial anaesthesia, but there is no significant difference between ultrasound-assisted and real-time guidance technology. The results of subgroup analysis tell us that the most suitable neuraxial anaesthesia method is different for different groups of people. PROSPERO REGISTRATION NUMBER: PROSPERO number: CRD42022376041.

SATB1/SLC7A11/HO-1 Axis Ameliorates Ferroptosis in Neuron Cells After Ischemic Stroke by Danhong Injection.

Neuronal damage after ischemic stroke (IS) is frequently due to ferroptosis, contributing significantly to ischemic injury. However, the mechanism against ferroptosis in IS remained unclear. The aim of this study was to investigate the potential mechanism of Danhong injection (DHI) and the critical transcription factor SATB1 in preventing neuronal ferroptosis after ischemic stroke in vivo and in vitro. The results showed that DHI treatment significantly reduced the infarct area and associated damage in the brains of the pMCAO mice, and enhanced the viability of OGD-injured neurons. And several characteristic indicators of ferroptosis, such as mitochondrial necrosis and iron accumulation, were regulated by DHI after IS. Importantly, we found that the expression and activity of SATB1 were decreased in the pMCAO mice, especially in neuron cells. Meanwhile, the SATB1/SLC7A11/HO-1 signaling pathway was activated after DHI treatment in ischemic stroke and was found to improve neuronal ferroptosis. Inhibition of SATB1 significantly reduced SLC7A11-HO-1 and significantly attenuated the anti-ferroptosis effects of DHI in the OGD model. These findings indicate that neuronal ferroptosis after IS can be alleviated by DHI through SATB1/SLC7A11/HO-1 pathway, and SATB1 may be an attractive therapeutic target for treating ischemic stroke.

Signature network-based survey of the effects of a traditional Chinese medicine on heart failure.

ETHNOPHARMACOLOGICAL RELEVANCE: Heart failure (HF) after myocardial infarction (MI) is one of the most common disabling and painful diseases. A traditional Chinese medicine (TCM) formula, Shengmaisan, is known as a multitarget medicine that is widely used clinically to treat heart failure (HF) in Asian countries. However, its mechanism has not been comprehensively demonstrated. AIM OF THE STUDY: To use a prediction network to figure out which disease link SMZ mainly alleviates in HF and find biomarkers related to myocardial fibrosis in the serum for clinical reference. MATERIALS AND METHODS: In this article, we collected a large amount of actual measurement data and our own proteomics data, along with the biomarkers of heart failure staging under study to establish a precise network. Then, we tested and verified the medicinal effect of SMZ in treatment of HF after MI by Measurement of left ventricular wall thickness and ejection fraction by echocardiography. Then we tested the serum level of the potential targets of SMZ predicting by the network we developed using ELISA. RESULTS: the cardiac ejection fraction and retarding the thinning of the anterior wall of the left ventricle increased after treating with SMZ. The serum level of EGFR and MAPK1 decreased in the groups treated with SMZ. CONCLUSION: SMZ can improve the cardiac function of rats with MI by increasing the cardiac ejection fraction and retarding the thinning of the anterior wall of the left ventricle. In addition, SMZ could delay heart failure mainly by inhibiting the progression of myocardial fibrosis through decreasing the EGFR and MAPK1 levels.