Processed electroencephalogram (EEG) indices, such as the Bispectral Index, have markedly influenced anesthesia practice as they translate brain activity into simple numerical indices. Nevertheless, as the manufacturing algorithms are not disclosed, the underlying neurophysiology remains obscured. Additionally, these indices are often affected by electromyographic contamination, pharmacological variability, and patient-specific EEG heterogeneity. In contrast, an EEG spectrogram, or density spectral array, preserves the frequency- and time-resolved structures of cortical oscillations. This information is presented in a form that is both physiologically meaningful and clinically interpretable. In this review, we trace the evolution of anesthesia from an index-based to a spectrogram-guided approach, and summarize the clinical rationale for adopting the latter. Key applications of this approach include the use of frontal alpha power as a biomarker of cortical stability and postoperative brain health, the identification of nociceptive arousal through alpha dropout and beta or delta arousal patterns, and individualized titration of multimodal or age-specific anesthetic management. Although current devices lack standardized quantitative alpha metrics and have limited sensitivity for low-frequency brain wave components, structured EEG education programs have proven to be effective in terms of fostering spectrogram literacy among anesthesiologists. By combining neurophysiological precision with bedside practicality, the EEG spectrogram represents a pivotal advance toward individualized, mechanism-based, and brain-protective anesthesia, transforming anesthetic monitoring from mere algorithmic abstraction to cortical insight.

ObjectiveTo explore the mechanisms of Salviae Miltiorrhizae Radix et Rhizoma in treating metabolic hypertension induced by a high-sugar and high-fat diet in rats based on network pharmacology， proteomics， and animal experiments. MethodsThirty male SD rats were randomized into the control， model， positive drug （tetrandrine， Tet， 50 mg·kg^-1·d^-1）， low-dose Salviae Miltiorrhizae Radix et Rhizoma （DS-L， 45×10⁴ mg·kg^-1·d^-1）， and high-dose Salviae Miltiorrhizae Radix et Rhizoma （DS-H， 90×10⁴ mg·kg^-1·d^-1） groups. Except for the control group， each group was fed a high-fat and high-sugar diet for 8 weeks for the modeling of metabolic hypertension. Following successful modeling， drug interventions were conducted through gavage for 4 weeks. Blood pressure and lipid indicators were monitored， and cardiac function was assessed via echocardiography. Samples from the thoracic aorta and cardiac tissue were collected for histopathological examination. Network pharmacology analysis identified key active components， potential targets， and mechanisms of Salviae Miltiorrhizae Radix et Rhizoma in treating hypertension. Proteomics technology was employed to analyze the differential proteins and major pathway targets to synergistically elucidate the antihypertensive mechanism of Salviae Miltiorrhizae Radix et Rhizoma. Ca²⁺ concentrations in the thoracic aorta and cardiac tissue were measured. The protein levels of transient receptor potential cation channel （TRPC）3， TRPC6， NADPH oxidase （NOX）2， and NOX4 were quantified via Western blotting. The levels of oxidative stress markers and inflammatory factors， including superoxide dismutase （SOD）， malondialdehyde （MDA）， tumor necrosis factor-α （TNF-α）， and interleukin-1β （IL-1β）， were determined by enzyme-linked immunosorbent assay （ELISA）. Molecular docking analysis was performed for the main components of Salviae Miltiorrhizae Radix et Rhizoma with TRPC3， TRPC6， NOX2， and NOX4. ResultsThe experimental results indicated that compared with the control group， the model group exhibited abnormally elevated blood pressure and increased lipid levels （P<0.01）. Compared with the model group， the DS-L group exhibited reduced systolic blood pressure （SBP）， diastolic blood pressure （DBP）， and mean arterial pressure （MAP） （P<0.05）， decreased serum levels of triglycerides （TG）， total cholesterol （TC）， and low-density lipoprotein cholesterol （LDL-C） （P<0.05）， and increased level of high-density lipoprotein cholesterol （HDL-C） （P<0.01）. The DS-H and Tet groups showed more significant effects （P<0.01）. Moreover， the interventions attenuated vascular wall thickening， myocardial cell injury， and collagen and lipid deposition. Network pharmacology and proteomics prediction results indicated that the core targets of Salviae Miltiorrhizae Radix et Rhizoma in treating hypertension were TRPC3， TRPC6， NOX2， and NOX4， and the core pathways included calcium signaling， cyclic guanosine monophosphate （cGMP）/cGMP-dependent protein kinase （PKG） signaling， and atherosclerosis-related pathways. The molecular mechanism experiment results indicated that compared with the control group， the model group exhibited significantly elevated tissue Ca²⁺ concentrations， exacerbated oxidative stress and inflammatory responses， and upregulated protein levels of TRPC3， TRPC6， NOX2， and NOX4 in the thoracic aorta and myocardial tissue （P<0.01）. Compared with the model group， DS-L reduced the free Ca²⁺ concentration， lowered the levels of IL-1β， TNF-α， SOD， and MDA （P<0.05）， and downregulated the protein levels of TRPC3， TRPC6， NOX2， and NOX4 in the thoracic aorta and myocardial tissue （P<0.05）. DS-H and Tet exhibited more significant effects （P<0.01）. Meanwhile， the main components of Salviae Miltiorrhizae Radix et Rhizoma had strong binding affinity with the core targets of hypertension. ConclusionSalviae Miltiorrhizae Radix et Rhizoma may ameliorate oxidative stress and mitigate inflammatory responses by regulating the TRPC3/6/NOX2/4 signaling pathway， thereby alleviating abnormal blood pressure abnormality and myocardial injury in hypertensive rats.

ObjectiveTo evaluate the effect of sex on phenotypic stability in mouse models of chemotherapy-induced alopecia (CIA) induced by cyclophosphamide (CYP) or paclitaxel (PTX), and to explore potential mechanisms underlying phenotypic heterogeneity in female mice. MethodsTwenty-eight wild-type specific pathogen-free (SPF) C57BL/6J mice (half male and half female) aged 6-8 weeks were selected for synchronous back hair removal. On the 9th day after hair removal (T0), the mice were randomly divided into a wild-type female CYP group, a wild-type male CYP group, a female negative control group and a male negative control group. Mice in the CYP groups were intraperitoneally injected with a single dose of 120 mg/kg CYP, and mice in the negative control groups were intraperitoneally injected with the same volume of normal saline. Subsequently, the phenotypic changes of the CIA model induced by CYP were continuously observed and photographed. Eleven 6-week-old SPF female C57BL/6J mice underwent bilateral ovariectomy (OVX group). Following successful surgery, these mice and five XY (Sry⁻) mice bred from Four Core Genotypes breeding stock were used to establish the chemotherapy-induced alopecia (CIA) model using the same protocol. Serum was collected from mice in the OVX group, wild-type female CYP group, and wild-type male CYP group on T7 after CYP administration for steroid hormone analysis by mass spectrometry to evaluate the effects of gonadal estrogen and sex chromosome background changes on the stability of the CYP-induced female alopecic phenotype. Finally, twenty SPF C57BL/6J mice aged 6-8 weeks (half male and half female) were randomly divided into a PTX low-dose group and a PTX high-dose group. On the 9th day after simultaneous hair removal, PTX was injected intraperitoneally at a single dose of 80 mg/kg or 120 mg/kg, respectively. Mice from the PTX low-dose group and the PTX high-dose group were continuously observed and photographed to compare the intra-group consistency of the phenotypes of female and male mice. Six SPF C57BL/6J mice (half male and half female) aged 6-8 weeks were used to repeat the construction method of the PTX low-dose group, and the hair follicle histological examination was performed at T0, T4, T7, T14 and T21, respectively, to observe the damage caused by PTX to hair follicle regeneration. ResultsThe phenotypes of CYP-induced male CIA mice are stable and reproducible. There are obvious individual differences in the alopecia phenotype in the CYP-induced female CIA model mice, which may be mainly caused by the differences in the relevant estrogens in the estrous cycle. The difference between OVX+CYP group and XY (Sry⁻) +CYP group disappeared, suggesting that ovarian-derived hormones and XY (Sry⁻) sex chromosome background may be involved in the formation of phenotypic heterogeneity of CYP-induced alopecia in female mice. The mice in the high-dose PTX group and the low-dose PTX group showed a relatively consistent alopecia and regrowth process, and there was no significant sex difference. ConclusionCYP-induced CIA is strongly influenced by sex, and ovariectomy or alteration of the sex chromosome background can improve the consistency of CYP-induced alopecic phenotypes in female mice. PTX-induced CIA shows good phenotypic consistency in both female and male mice, indicating broad applicability across sexes. Taken together, the choice of animal sex in CIA model construction, mechanistic studies, and evaluation of anti-alopecia interventions should take into account the type of chemotherapeutic agent, the study objective, and the required degree of phenotypic stability. Sex should therefore be considered an important variable in model standardization and interpretation of experimental findings.

ObjectiveThe proteome of biological evidence contains rich genetic information, namely single amino acid polymorphisms (SAPs) in protein sequences. However, due to the lack of efficient and convenient analysis tools, the application of SAP in public security still faces many challenges. This paper aims to meet the application requirements of SAP analysis for forensic biological evidence’s proteome data. MethodsThe software is divided into three modules. First, based on a built-in database of common non-synonymous single nucleotide polymorphisms (nsSNPs) and SAPs in East Asian populations, the software integrates and annotates newly identified exonic nsSNPs as SAPs, thereby constructing a customized SAP protein sequence database. It then utilizes a pre-installed search engine—either pFind or MaxQuant—to perform analysis and output SAP typing results, identifying both reference and variant types, along with their corresponding imputed nsSNPs. Finally, SAPTyper compares the proteome-based typing results with the individual’s exome-derived nsSNP profile and outputs the comparison report. ResultsSAPTyper accepts proteomic DDA mass spectrometry raw data (DDA acquisition mode) and exome sequencing results of nsSNPs as input and outputs the report of SAPs result. The pFind and Maxquant search engines were used to test the proteome data of 2 hair shafts of2 individuals, and both obtained SAP results. It was found that the results of the Maxquant search engine were slightly less than those of pFind. This result shows that SAPTyper can achieve SAP fingding function. Moreover, the pFind search engine was used to test the proteome data of 3 hair shafts from 1 European person and 1 African person in the literature. Among the sites fully matched by the literature method, sites detected by SAPTyper are also included; for semi-matching sites, that is, nsSNPs are heterozygous, both literature method and SAPTyper method had the risk of missing detection for one type of the allele. Comparing the analysis results of SAPTyper with the SAP test results reported in the literature, it was found that some imputed nsSNP sites identified by the literature method but not detected by SAPTyper had a MAF of less than 0.1% in East Asian populations, and therefore they were not included in the common nsSNP database of East Asian populations constructed by this software. Since the database construction of this software is based on the genetic variation information of East Asian populations, it is currently unable to effectively identify representative unique common variation sites in European or African populations, but it can still identify SAP sites shared by these populations and East Asian populations. ConclusionAn automated SAP analysis algorithm was developed for East Asian populations, and the software named SAPTyper was developed. This software provides a convenient and efficient analysis tool for the research and application of forensic proteomic SAP and has important application prospects in individual identification and phenotypic inference based on SAP.

BACKGROUND: The purpose of this study was to evaluate the safety and efficacy of subsequent radiotherapy (RT) following first-line treatment with durvalumab plus chemotherapy in patients with extensive-stage small cell lung cancer (ES-SCLC). METHODS: A total of 122 patients with ES-SCLC from three hospitals during July 2019 to December 2021 were retrospectively analyzed. Inverse probability of treatment weighting (IPTW) analysis was performed to address potential confounding factors. The primary focus of our evaluation was to assess the impact of RT on progression-free survival (PFS) and overall survival (OS). RESULTS: After IPTW analysis, 49 patients received durvalumab plus platinum-etoposide (EP) chemotherapy followed by RT (Durva + EP + RT) and 72 patients received immunochemotherapy (Durva + EP). The median OS was 17.2 months vs . 12.3 months (hazard ratio [HR]: 0.38, 95% confidence interval [CI]: 0.17-0.85, P = 0.020), and the median PFS was 8.9 months vs . 5.9 months (HR: 0.56, 95% CI: 0.32-0.97, P = 0.030) in Durva + EP + RT and Durva + EP groups, respectively. Thoracic radiation therapy (TRT) resulted in longer OS (17.2 months vs . 14.7 months) and PFS (9.1 months vs . 7.2 months) compared to RT directed to other metastatic sites. Among patients with oligo-metastasis, RT also showed significant benefits, with a median OS of 17.4 months vs . 13.7 months and median PFS of 9.8 months vs . 5.9 months compared to no RT. Continuous durvalumab treatment beyond progression (TBP) prolonged OS compared to patients without TBP, in both the Durva + EP + RT (NA vs . 15.8 months, HR: 0.48, 95% CI: 0.14-1.63, P = 0.238) and Durva + EP groups (12.3 months vs . 4.3 months, HR: 0.29, 95% CI: 0.10-0.81, P = 0.018). Grade 3 or 4 adverse events occurred in 13 (26.5%) and 13 (18.1%) patients, respectively, in the two groups; pneumonitis was mostly low-grade. CONCLUSION Addition of RT after first-line immunochemotherapy significantly improved survival outcomes with manageable toxicity in ES-SCLC.
Humans ; Small Cell Lung Carcinoma/therapy* ; Retrospective Studies ; Male ; Female ; Middle Aged ; Lung Neoplasms/therapy* ; Aged ; Antibodies, Monoclonal/therapeutic use* ; Adult ; Immunotherapy/methods* ; Aged, 80 and over

The holistic view is the key in the study of traditional Chinese medicine(TCM). The component structure theory is based on the holistic view to investigate the correlation between material basis and efficiency, which enriches the holistic "component-effect" research of TCM. Gintonin is a newly isolated non-saponin component of ginseng. Compared to ginsenosides, gintonin has many different pharmacological activities, and it provides new knowledge for the holistic research of ginseng. Thus, taking the discovery of gintonin from ginseng as an example, this paper explored the linkage between ginsenosides and gintonin from the perspective of "component-effect" correlations and systematically sorted out the similarities and differences between them in terms of structural characteristics, modes of action, and pharmacological activities. Starting from the collaborative interaction of TCM compounds, the study discussed the application and value of the holistic view in TCM "component-effect" research in the light of the component structure theory to provide new thoughts for the development of modern TCM research.
Panax/chemistry* ; Drugs, Chinese Herbal/pharmacology* ; Medicine, Chinese Traditional ; Humans ; Ginsenosides/pharmacology* ; Animals

Process analytical technology(PAT) is a key means for digital transformation and upgrading of the traditional Chinese medicine(TCM) manufacturing process, serving as an important guarantee for consistent and controllable TCM product quality. Near-infrared(NIR) spectroscopy has become the core technology for measuring the TCM manufacturing process. By incorporating NIR spectroscopy into PAT and starting from the construction of a smart platform for the TCM manufacturing process, this paper systematically described the development history and innovative application of the combination of NIR spectroscopy with chemometrics in measuring the TCM manufacturing process by the research team over the past two decades. Additionally, it explored the application of a validation method based on accuracy profile(AP) in the practice of NIR spectroscopy. Furthermore, the software development progress driven by NIR spectroscopy supported by modeling technology was analyzed, and the prospect of integrating NIR spectroscopy in smart factory control platforms was exemplified with the construction practices of related platforms. By integrating with the smart platform, NIR spectroscopy could improve production efficiency and guarantee product quality. Finally, the prospect of the smart platform application in measuring the TCM manufacturing process was projected. It is believed that the software development for NIR spectroscopy and the smart manufacturing platform will provide strong technical support for TCM digitalization and industrialization.
Spectroscopy, Near-Infrared/methods* ; Drugs, Chinese Herbal/analysis* ; Software ; Medicine, Chinese Traditional ; Quality Control

This study aims to explore the pharmacodynamic material basis of Jinbei Oral Liquid(JBOL) against idiopathic pulmonary fibrosis(IPF) based on serum pharmacochemistry and network pharmacology. The ultra-high performance liquid chromatography-quadrupole time-of-flight tandem mass spectrometry(UHPLC-Q-TOF-MS/MS) technology was employed to analyze and identify the components absorbed into rat blood after oral administration of JBOL. Combined with network pharmacology, the study explored the pharmacodynamic material basis and potential mechanism of JBOL against IPF through protein-protein interaction(PPI) network construction, "component-target-pathway" analysis, Gene Ontology(GO) functional enrichment, and Kyoto Encyclopedia of Genes and Genomes(KEGG) pathway enrichment analysis. First, a total of 114 compounds were rapidly identified in JBOL extract according to the exact relative molecular mass, fragment ions, and other information of the compounds with the use of reference substances and a self-built compound database. Second, on this basis, 70 prototype components in blood were recognized by comparing blank serum with drug-containing serum samples, including 28 flavonoids, 25 organic acids, 4 saponins, 4 alkaloids, and 9 others. Finally, using these components absorbed into blood as candidates, the study obtained 212 potential targets of JBOL against IPF. The anti-IPF mechanism might involve the action of active ingredients such as glycyrrhetinic acid, cryptotanshinone, salvianolic acid B, and forsythoside A on core targets like AKT1, TNF, and ALB and thereby the regulation of multiple signaling pathways including PI3K/AKT, HIF-1, and TNF. In conclusion, JBOL exerts the anti-IPF effect through multiple components, targets, and pathways. The results would provide a reference for further study on pharmacodynamic material basis and pharmacological mechanism of JBOL.
Drugs, Chinese Herbal/pharmacokinetics* ; Animals ; Tandem Mass Spectrometry ; Network Pharmacology ; Rats ; Chromatography, High Pressure Liquid ; Rats, Sprague-Dawley ; Male ; Idiopathic Pulmonary Fibrosis/metabolism* ; Humans ; Administration, Oral ; Protein Interaction Maps/drug effects* ; Signal Transduction/drug effects*

The quality of traditional Chinese medicine(TCM) is a critical foundation for ensuring the stability of its efficacy, as well as the safety and effectiveness of its clinical use. The identification of critical quality attributes(CQAs) is one of the core components of TCM preparation quality control. This study focuses on Jianwei Xiaoshi Tablets and explores their CQAs related to property and flavor from the perspective of taste receptor proteins. Three taste receptor proteins, T1R2, T1R3, and TRPV1, were selected, and a biosensor based on high-electron-mobility transistor(HEMT) was constructed to detect the interactions between Jianwei Xiaoshi Tablets and taste receptor proteins. Simultaneously, liquid chromatography-mass spectrometry(LC-MS) technology was used to analyze the chemical composition of Jianwei Xiaoshi Tablets. In examining the interaction strength, the results indicated that the interaction between Jianwei Xiaoshi Tablets and TRPV1 protein was the strongest, followed by T1R3, with the interaction with T1R2 being relatively weaker. By combining biosensing technology with LC-MS, 16 chemical components were identified from Jianwei Xiaoshi Tablets, among which six were selected as CQAs for sweetness and seven for pungency. Further validation experiments demonstrated that CQAs such as hesperidin and hesperetin had strong interactions with their corresponding taste receptor proteins. Through the combined use of multiple technological approaches, this study successfully determined the property and flavor-related CQAs of Jianwei Xiaoshi Tablets. It provides novel ideas and approach for the identification of CQAs in TCM preparations and offers comprehensive theoretical support for TCM quality control, contributing to the improvement and development of TCM preparation quality control systems.
Drugs, Chinese Herbal/chemistry* ; Biosensing Techniques/methods* ; TRPV Cation Channels/chemistry* ; Tablets/chemistry* ; Receptors, G-Protein-Coupled/genetics* ; Quality Control ; Taste ; Humans ; Mass Spectrometry