A Practical Magnetic-Resonance Imaging Score for Outcome Prediction in Comatose Cardiac Arrest Survivors.

AIM: Magnetic Resonance Imaging (MRI) is an important prognostic tool in cardiac arrest (CA) survivors given its sensitivity for detecting hypoxic-ischemic brain injury (HIBI), however, it is limited by poorly defined objective thresholds. To address this limitation, we evaluated a qualitative MRI score for predicting neurological outcome in CA survivors. METHODS: Adult comatose CA survivors who underwent MRI were retrospectively identified at a single academic medical center. Two blinded neurointensivists qualitatively scored HIBI amongst 12 MRI brain regions. Scores were summated to form four distinct score groups: cortex, deep grey nuclei (DGN), cortex-DGN combined, and total (cortex, DGN, brainstem, and cerebellum). Poor neurological outcome was defined as Cerebral Performance Category (CPC) score 3-5 at hospital discharge. Inter-rater reliability was tested using intra-class correlation (ICC) and discrimination of poor neurological outcome assessed using area under the receiver operating curve (AUC). RESULTS: Our cohort included 219 patients with median time to MRI of 96 (IQR 81-110) hours. ICC (95% CI) was good to excellent across all MRI scores: cortex 0.92 (0.89-0.94), DGN 0.88 (0.80-0.92), cortex-DGN 0.94 (0.92-0.95), and total 0.93 (0.91-0.95). AUC (95% CI) for poor outcome was good across all MRI scores: cortex 0.84 (0.78-0.90), DGN 0.83 (0.77-0.89), cortex-DGN 0.83 (0.77-0.89), and total 0.83 (0.77-0.88). CONCLUSION: A simplified, qualitative MRI score had excellent reliability and good discrimination for poor neurologic outcome. Further work is necessary to externally validate our findings in an independent, ideally prospective, cohort.

Speech Outcomes of Frenectomy for Tongue-Tie Release: A Systematic Review and Meta-Analysis.

OBJECTIVE: Tongue-tie, which is also known as ankyloglossia, is a common condition where the lingual frenulum is unusually tight or short. While most literature investigates the impact of tongue-tie on breastfeeding, recent articles have examined its role in speech production in children. However, these have not previously been reviewed systematically. This study aims to determine the impact of tongue-tie on speech outcomes and assess whether frenectomy can improve speech function. METHODS: In this systematic review, we conducted a comprehensive search of PubMed/MEDLINE, Cochrane Library, Embase, and speechBITE to analyze primary studies investigating the impact of frenectomy for tongue-tie on speech outcomes. We extracted data regarding patient age, male to female ratio, procedure type, follow-up time, and speech outcomes and ran statistical analyses to determine if frenectomy for tongue-tie leads to improvement in speech issues in pediatric patients. Speech outcomes extracted were subjectively measured based on the interpretation of a speech and language pathologist or parent. RESULTS: Our analysis included 10 studies with an average patient age of 4.10 years, and average cohort size of 22.17 patients. Overall, frenectomy for tongue-tie was associated with an improvement in speech articulation (0.78; 95% CI: 0.64-0.87; P < .01). Increasing patient age was found to be negatively correlated with post-frenectomy speech outcomes (P = .01). However, this relationship disappeared in the adjusted model. CONCLUSION: Overall, we conclude that frenectomy is a suitable treatment to correct speech issues in select patients with tongue-tie if caught early in childhood. Despite the limited investigations around speech outcomes post-frenectomy, these results are informative to providers treating tongue-tie.

PRMT5 Promotes T follicular helper Cell Differentiation and Germinal Center Responses during Influenza Virus Infection.

Protein arginine methyltransferases (PRMTs) modify diverse protein targets and regulate numerous cellular processes; yet, their contributions to individual effector T cell responses during infections are incompletely understood. In this study, we identify PRMT5 as a critical regulator of CD4+ T follicular helper cell (Tfh) responses during influenza virus infection in mice. Conditional PRMT5 deletion in murine T cells results in an almost complete ablation of both Tfh and T follicular regulatory populations and, consequently, reduced B cell activation and influenza-specific Ab production. Supporting a potential mechanism, we observe elevated surface expression of IL-2Rα on non-T regulatory effector PRMT5-deficient T cells. Notably, IL-2 signaling is known to negatively impact Tfh differentiation. Collectively, our findings identify PRMT5 as a prominent regulator of Tfh programming, with potential causal links to IL-2 signaling.

Clinical Features of Traditional Chinese Medicine Syndrome Elements in Patients with Multi-Drug Resistant Bacterial Pneumonia:A Retrospective Analysis of 126 Cases / 广州中医药大学学报

Objective To explore the distribution of traditional Chinese medicine(TCM)syndrome elements in patients with multi-drug resistant bacteria-infected pneumonia.Methods Clinical data of 126 patients with multi-drug resistant bacteria-infected pneumonia admitted to the intensive care unit of Lung Disease Centre of Qingdao Hospital of Traditional Chinese Medicine from May 2020 to July 2022 were retrospectively collected.The clinical data included the patients'gender,age,underlying diseases,history of bad additions of smoking and alcohol,multi-drug resistant bacteria,and the information of four diagnostic methods of TCM,etc.The disease-nature syndrome elements in patients with drug-resistance to various strains of drug-resistant bacteria were extracted,and then deficiency-excess syndrome differentiation was carried out.Results(1)A total of 201 strains of multi-drug resistant bacteria were detected in 126 patients with multi-drug resistant bacterial pneumonia.The main pathogenic species were Gram-negative bacteria,and the proportion accounted for 95.52%(192/201),which was significantly higher than that of Gram-positive bacteria[4.48%(9/201)],with a statistically significant difference(χ2 = 166.612,P＜0.001).Klebsiella pneumoniae accounted for the highest percentage of 23.38%in the gram-negative bacterium.(2)A total of 12 syndrome elements were extracted from the 126 patients.The excess syndrome elements were predominated by phlegm and heat,and the deficiency syndrome elements were predominated by yin deficiency.There was no statistically significant difference in the distribution of yin deficiency,blood deficiency,heat,phlegm,fluid-retention and damp syndrome elements among patients with different strains of drug-resistant bacterial infection(P＞0.05).(3)Of the 126 patients,62 cases(49.21%)had simple excess syndrome,one case(0.79%)had simple deficiency syndrome,and 63 cases(50.00%)had concurrent deficiency-excess syndrome.Among the 126 patients,there were 19 cases of single syndrome element,41 cases of concurrent two-syndrome element,49 cases of concurrent three-syndrome element,16 cases of concurrent four-syndrome element,and one case of concurrent five-syndrome element.And the combined syndrome element of phlegm-heat-yin deficiency occurred most frequently for 26 times.Conclusion Gram-negative bacteria are the primary infectious pathogens for the patients with multi-drug resistant bacterial infections,and the TCM syndrome elements of the patients are characterized by the concurrence of deficiency and excess and simple excess syndrome,mainly manifesting as phlegm,heat,and yin deficiency.

A freshwater algae classification system based on machine learning with StyleGAN2-ADA augmentation for limited and imbalanced datasets.

Automated algae classification using machine learning is a more efficient and effective solution compared to manual classification, which can be tedious and time-consuming. However, the practical application of such a classification approach is restricted by the scarcity of labeled freshwater algae datasets, especially for rarer algae. To overcome these challenges, this study proposes to generate artificial algal images with StyleGAN2-ADA and use both the generated and real images to train machine-learning-driven algae classification models. This approach significantly enhances the performance of classification models, particularly in their ability to identify rare algae. Overall, the proposed approach improves the F1-score of lightweight MobileNetV3 classification models covering all 20 freshwater algae covered in this research from 88.4% to 96.2%, while for the models that cover only the rarer algae, the experiments show an improvement from 80% to 96.5% in terms of F1-score. The results show that the approach enables the trained algae classification systems to effectively cover algae with limited image data.

Aiolos represses CD4+ T cell cytotoxic programming via reciprocal regulation of TFH transcription factors and IL-2 sensitivity.

During intracellular infection, T follicular helper (TFH) and T helper 1 (TH1) cells promote humoral and cell-mediated responses, respectively. Another subset, CD4-cytotoxic T lymphocytes (CD4-CTLs), eliminate infected cells via functions typically associated with CD8+ T cells. The mechanisms underlying differentiation of these populations are incompletely understood. Here, we identify the transcription factor Aiolos as a reciprocal regulator of TFH and CD4-CTL programming. We find that Aiolos deficiency results in downregulation of key TFH transcription factors, and consequently reduced TFH differentiation and antibody production, during influenza virus infection. Conversely, CD4-CTL programming is elevated, including enhanced Eomes and cytolytic molecule expression. We further demonstrate that Aiolos deficiency allows for enhanced IL-2 sensitivity and increased STAT5 association with CD4-CTL gene targets, including Eomes, effector molecules, and IL2Ra. Thus, our collective findings identify Aiolos as a pivotal regulator of CD4-CTL and TFH programming and highlight its potential as a target for manipulating CD4+ T cell responses.

CEMIG: prediction of the cis-regulatory motif using the de Bruijn graph from ATAC-seq.

Sequence motif discovery algorithms enhance the identification of novel deoxyribonucleic acid sequences with pivotal biological significance, especially transcription factor (TF)-binding motifs. The advent of assay for transposase-accessible chromatin using sequencing (ATAC-seq) has broadened the toolkit for motif characterization. Nonetheless, prevailing computational approaches have focused on delineating TF-binding footprints, with motif discovery receiving less attention. Herein, we present Cis rEgulatory Motif Influence using de Bruijn Graph (CEMIG), an algorithm leveraging de Bruijn and Hamming distance graph paradigms to predict and map motif sites. Assessment on 129 ATAC-seq datasets from the Cistrome Data Browser demonstrates CEMIG's exceptional performance, surpassing three established methodologies on four evaluative metrics. CEMIG accurately identifies both cell-type-specific and common TF motifs within GM12878 and K562 cell lines, demonstrating its comparative genomic capabilities in the identification of evolutionary conservation and cell-type specificity. In-depth transcriptional and functional genomic studies have validated the functional relevance of CEMIG-identified motifs across various cell types. CEMIG is available at https://github.com/OSU-BMBL/CEMIG, developed in C++ to ensure cross-platform compatibility with Linux, macOS and Windows operating systems.

Epigenetic remodeling by vitamin C potentiates plasma cell differentiation.

Ascorbate (vitamin C) is an essential micronutrient in humans. The severe chronic deficiency of ascorbate, termed scurvy, has long been associated with increased susceptibility to infections. How ascorbate affects the immune system at the cellular and molecular levels remained unclear. From a micronutrient analysis, we identified ascorbate as a potent enhancer for antibody response by facilitating the IL-21/STAT3-dependent plasma cell differentiation in mouse and human B cells. The effect of ascorbate is unique as other antioxidants failed to promote plasma cell differentiation. Ascorbate is especially critical during early B cell activation by poising the cells to plasma cell lineage without affecting the proximal IL-21/STAT3 signaling and the overall transcriptome. As a cofactor for epigenetic enzymes, ascorbate facilitates TET2/3-mediated DNA modification and demethylation of multiple elements at the Prdm1 locus. DNA demethylation augments STAT3 association at the Prdm1 promoter and a downstream enhancer, thus ensuring efficient gene expression and plasma cell differentiation. The results suggest that an adequate level of ascorbate is required for antibody response and highlight how micronutrients may regulate the activity of epigenetic enzymes to regulate gene expression. Our findings imply that epigenetic enzymes can function as sensors to gauge the availability of metabolites and influence cell fate decisions.

Dexmedetomidine and Other Analgosedatives Alter Pupil Characteristics in Critically Ill Patients.

In critically ill patients with neurologic disease, pupil examination abnormalities can signify evolving intracranial pathology. Analgesic and sedative medications (analgosedatives) target pupillary pathways, but it remains unknown how analgosedatives alter pupil findings in the clinical care setting. We assessed dexmedetomidine and other analgosedative associations with pupil reactivity and size in a heterogeneous cohort of critically ill patients with acute intracranial pathology. DESIGN: Retrospective cohort study. SETTING: Two neurologic ICUs between 2016 and 2018. PATIENTS: Critically ill adult patients with pupil measurements within 60 minutes of analgosedative administration. Patients with a history of intrinsic retinal pathology, extracranial injury, inaccessible brain imaging, or no Glasgow Coma Scale (GCS) data were excluded. INTERVENTIONS: None. MEASUREMENTS AND MAIN RESULTS: We used mixed-effects linear regression accounting for intrapatient correlations and adjusting for sex, age, GCS score, radiographic mass effect, medication confounders, and ambient light. We tested the association between an initiation or increased IV infusion of dexmedetomidine and pupil reactivity (Neurologic Pupil Index [NPi]) and resting pupil size (mm) obtained using NeurOptics NPi-200 (NeurOptics, Irvine, CA) pupillometer. Of our 221 patients with 9,897 pupil observations (median age, 60 [interquartile range, 50-68]; 59% male), 37 patients (166 pupil observations) were exposed to dexmedetomidine. Dexmedetomidine was associated with higher average NPi (ß = 0.18 per 1 unit increase in rank-normalized NPi ± 0.04; p < 0.001) and smaller pupil size (ß = -0.25 ± 0.05; p < 0.001). Exploratory analyses revealed that acetaminophen was associated with higher average NPi (ß = 0.04 ± 0.02; p = 0.02) and that most IV infusion analgosedatives including propofol, fentanyl, and midazolam were associated with smaller pupil size. CONCLUSIONS: Dexmedetomidine is associated with higher pupil reactivity (high NPi) and smaller pupil size in a cohort of critically ill patients with neurologic injury. Familiarity with expected pupil changes following analgosedative administration is important for accurate interpretation of pupil examination findings, facilitating optimal management of patients with acute intracranial pathology.

PERK is a critical metabolic hub for immunosuppressive function in macrophages.

Chronic inflammation triggers compensatory immunosuppression to stop inflammation and minimize tissue damage. Studies have demonstrated that endoplasmic reticulum (ER) stress augments the suppressive phenotypes of immune cells; however, the molecular mechanisms underpinning this process and how it links to the metabolic reprogramming of immunosuppressive macrophages remain elusive. In the present study, we report that the helper T cell 2 cytokine interleukin-4 and the tumor microenvironment increase the activity of a protein kinase RNA-like ER kinase (PERK)-signaling cascade in macrophages and promote immunosuppressive M2 activation and proliferation. Loss of PERK signaling impeded mitochondrial respiration and lipid oxidation critical for M2 macrophages. PERK activation mediated the upregulation of phosphoserine aminotransferase 1 (PSAT1) and serine biosynthesis via the downstream transcription factor ATF-4. Increased serine biosynthesis resulted in enhanced mitochondrial function and α-ketoglutarate production required for JMJD3-dependent epigenetic modification. Inhibition of PERK suppressed macrophage immunosuppressive activity and could enhance the efficacy of immune checkpoint programmed cell death protein 1 inhibition in melanoma. Our findings delineate a previously undescribed connection between PERK signaling and PSAT1-mediated serine metabolism critical for promoting immunosuppressive function in M2 macrophages.

Gene Regulatory Circuits in Innate and Adaptive Immune Cells.

Cell identity and function largely rely on the programming of transcriptomes during development and differentiation. Signature gene expression programs are orchestrated by regulatory circuits consisting of cis-acting promoters and enhancers, which respond to a plethora of cues via the action of transcription factors. In turn, transcription factors direct epigenetic modifications to revise chromatin landscapes, and drive contacts between distal promoter-enhancer combinations. In immune cells, regulatory circuits for effector genes are especially complex and flexible, utilizing distinct sets of transcription factors and enhancers, depending on the cues each cell type receives during an infection, after sensing cellular damage, or upon encountering a tumor. Here, we review major players in the coordination of gene regulatory programs within innate and adaptive immune cells, as well as integrative omics approaches that can be leveraged to decipher their underlying circuitry.

Micro but mighty-Micronutrients in the epigenetic regulation of adaptive immune responses.

Micronutrients are essential small molecules required by organisms in minute quantity for survival. For instance, vitamins and minerals, the two major categories of micronutrients, are central for biological processes such as metabolism, cell replication, differentiation, and immune response. Studies estimated that around two billion humans worldwide suffer from micronutrient deficiencies, also known as "hidden hunger," linked to weakened immune responses. While micronutrients affect the immune system at multiple levels, recent studies showed that micronutrients potentially impact the differentiation and function of immune cells as cofactors for epigenetic enzymes, including the 2-oxoglutarate-dependent dioxygenase (2OGDD) family involved in histone and DNA demethylation. Here, we will first provide an overview of the role of DNA methylation in T cells and B cells, followed by the micronutrients ascorbate (vitamin C) and iron, two critical cofactors for 2OGDD. We will discuss the emerging evidence of these micronutrients could regulate adaptive immune response by influencing epigenetic remodeling.

Research progress of endoplasmic reticulum stress in methamphetamine induced neurotoxicity / 中国药理学通报

At present, METH has surpassed the traditional illegal psychoactive substances and become the most widely abused illegal psychostimulant in China.Endoplasmic reticulum ( ER) plays an important role in regulating the normal physiological functions of various cells by virtue of its strong membrane strnc- ture and a large number of enzymes on the membrane.Endoplasmic reticulum stress ( ERS) is a series of adaptive responses made by cells when ER homeostasis is destroyed.When ERS occurs, it will drive the activation of unfolded protein response (I PR ) , which aims to protect cells from stress, reduce biosyn- thetic load and help to rebuild cell homeostasis.Persistent ERS will further aggravate the pressure of ER and induce cell death by using UPR signaling pathway.'Hie neurotoxicity induced by METH is closely related to ERS.This paper elaborates on ERS and UPR signaling pathway, and summarizes the relationship between ERS.apoptosis and autophagy, so as to provide new ideas and potential therapeutic targets for the basic research and prevention of METH induced neurotoxicity mechanism.

Analysis of Differences of Volatile Components in Atractylodis Rhizoma Before and After Processing with Rice-washed Water by HS-GC-MS / 中国实验方剂学杂志

ObjectiveBy comparing the composition and content changes of the volatile components in Atractylodis Rhizoma before and after processing with rice-washed water， the effect of rice-washed water processing on volatile components in Atractylodis Rhizoma was investigated. MethodHeadspace-gas chromatography-mass spectrometry （HS-GC-MS） was used to detect the volatile components in rhizomes of Atractylodes chinensis and A. lancea， and their processed products of rice-washed water. Chromatographic conditions were programmed temperature （starting temperature of 50 ℃ for 2 min， rising to 120 ℃ with the speed of 10 ℃·min-1， then rising to 170 ℃ at 2.5 ℃·min-1， and rising to 240 ℃ at 10 ℃·min-1 for 3 min）， the inlet temperature was 280 ℃， the split ratio was 10∶1， and the solvent delay time was 3 min. The conditions of mass spectrometry were electron bombardment ionization （EI） with ionization temperature at 230 ℃ and detection range of m/z 20-650. Then the relative content of each component was determined by the peak area normalization method. SIMCA 14.1 software was used to perform unsupervised principal component analysis （PCA） and supervised orthogonal partial least squares-discriminant analysis （OPLS-DA） on each sample data， the differential components of Atractylodis Rhizoma and its processed products were screened by the principle of variable importance in the projection （VIP） value>1. ResultA total of 60 components were identified， among which 40 were rhizomes of A. chinensis and 38 were its processed products， 46 were rhizomes of A. lancea and 47 were its processed products. PCA and OPLS-DA showed that the 4 kinds of Atractylodis Rhizoma samples were clustered into one category respectively， indicating that the volatile components of the two kinds of Atractylodis Rhizoma were significantly changed after processing with rice-washed water， and there were also significant differences in the volatile components of rhizomes of A. lancea and A. chinensis. The compound composition of Atractylodis Rhizoma and its processed products was basically the same， but the content of the compounds was significantly different. The differential components were mainly concentrated in monoterpenoids and sesquiterpenoids， and the content of monoterpenoids mostly showed a decreasing trend. ConclusionAfter processing with rice-washed water， the contents of volatile components in rhizomes of A. lancea and A. chinensis are significantly changed， and pinene， 3-carene， p-cymene， ocimene， terpinolene， atractylon， acetic acid and furfural can be used as difference markers before and after processing.

Analysis of Terpenoids in Alismatis Rhizoma Before and After Processing with Salt-water Based on UPLC-Q-TOF-MS / 中国实验方剂学杂志

ObjectiveTo identify the chemical constituents of Alismatis Rhizoma before and after processing with salt-water by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS）， and to investigate the changes of terpenoids in Alismatis Rhizoma before and after processing with salt-water. MethodUPLC-Q-TOF-MS was used to detect with 0.1% formic acid aqueous solution （A）-acetonitrile （B）as mobile phase for gradient elution （0-0.01 min， 20%B； 0.01-5 min， 20%-40%B； 5-40 min， 40%-95%B； 40-42 min， 95%B； 42-42.1 min， 95%-20%B； 42.1-45 min， 20%B）， electrospray ionization （ESI） was selected for collection and detection in positive ion mode with the scanning range of m/z 100-1 250 and ion source temperature at 500 ℃. The data were analyzed by PeakView 1.2.0.3， the components were identified according to the primary and secondary MS data， and combined with the reference substance and literature. After normalized treatment by MarkerView 1.2.1， the MS data were analyzed by principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA）， and then the differential components before and after processing were screened. The content changes of differential components were analyzed according to the relative peak area. ResultA total of 30 components were identified under positive ion mode， including 28 prototerpene triterpenes and 2 sesquiterpenes. The results of PCA and OPLS-DA showed that there were significant differences in components from Alismatis Rhizoma before and after processing with salt-water， and 10 differential components （alisol B 23-acetate， alisol I， alismol， 11-deoxy-alisol B 23-acetate， alisol B， alisol C， 11-deoxy-alisol B， alisol G， 11-deoxy-alisol C and alisol A） were screened， and the contents of alisol G and alisol A decreased significantly after processing. ConclusionUPLC-Q-TOF-MS can comprehensively and accurately identify the chemical constituents in raw and salt-processed products of Alismatis Rhizoma. It takes a great difference in the contents of chemical constituents before and after processing， and the difference of substituents is the main reason for this differences， which can provide reference for determining the material basis of efficacy changes of Alismatis Rhizoma before and after processing with salt-water.

Analysis of Terpenoids in Alismatis Rhizoma Before and After Processing with Salt-water Based on UPLC-Q-TOF-MS / 中国实验方剂学杂志

ObjectiveTo identify the chemical constituents of Alismatis Rhizoma before and after processing with salt-water by ultra-high performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF-MS）， and to investigate the changes of terpenoids in Alismatis Rhizoma before and after processing with salt-water. MethodUPLC-Q-TOF-MS was used to detect with 0.1% formic acid aqueous solution （A）-acetonitrile （B）as mobile phase for gradient elution （0-0.01 min， 20%B； 0.01-5 min， 20%-40%B； 5-40 min， 40%-95%B； 40-42 min， 95%B； 42-42.1 min， 95%-20%B； 42.1-45 min， 20%B）， electrospray ionization （ESI） was selected for collection and detection in positive ion mode with the scanning range of m/z 100-1 250 and ion source temperature at 500 ℃. The data were analyzed by PeakView 1.2.0.3， the components were identified according to the primary and secondary MS data， and combined with the reference substance and literature. After normalized treatment by MarkerView 1.2.1， the MS data were analyzed by principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA）， and then the differential components before and after processing were screened. The content changes of differential components were analyzed according to the relative peak area. ResultA total of 30 components were identified under positive ion mode， including 28 prototerpene triterpenes and 2 sesquiterpenes. The results of PCA and OPLS-DA showed that there were significant differences in components from Alismatis Rhizoma before and after processing with salt-water， and 10 differential components （alisol B 23-acetate， alisol I， alismol， 11-deoxy-alisol B 23-acetate， alisol B， alisol C， 11-deoxy-alisol B， alisol G， 11-deoxy-alisol C and alisol A） were screened， and the contents of alisol G and alisol A decreased significantly after processing. ConclusionUPLC-Q-TOF-MS can comprehensively and accurately identify the chemical constituents in raw and salt-processed products of Alismatis Rhizoma. It takes a great difference in the contents of chemical constituents before and after processing， and the difference of substituents is the main reason for this differences， which can provide reference for determining the material basis of efficacy changes of Alismatis Rhizoma before and after processing with salt-water.

Analysis of Differences of Volatile Components in Atractylodis Rhizoma Before and After Processing with Rice-washed Water by HS-GC-MS / 中国实验方剂学杂志

ObjectiveBy comparing the composition and content changes of the volatile components in Atractylodis Rhizoma before and after processing with rice-washed water， the effect of rice-washed water processing on volatile components in Atractylodis Rhizoma was investigated. MethodHeadspace-gas chromatography-mass spectrometry （HS-GC-MS） was used to detect the volatile components in rhizomes of Atractylodes chinensis and A. lancea， and their processed products of rice-washed water. Chromatographic conditions were programmed temperature （starting temperature of 50 ℃ for 2 min， rising to 120 ℃ with the speed of 10 ℃·min-1， then rising to 170 ℃ at 2.5 ℃·min-1， and rising to 240 ℃ at 10 ℃·min-1 for 3 min）， the inlet temperature was 280 ℃， the split ratio was 10∶1， and the solvent delay time was 3 min. The conditions of mass spectrometry were electron bombardment ionization （EI） with ionization temperature at 230 ℃ and detection range of m/z 20-650. Then the relative content of each component was determined by the peak area normalization method. SIMCA 14.1 software was used to perform unsupervised principal component analysis （PCA） and supervised orthogonal partial least squares-discriminant analysis （OPLS-DA） on each sample data， the differential components of Atractylodis Rhizoma and its processed products were screened by the principle of variable importance in the projection （VIP） value>1. ResultA total of 60 components were identified， among which 40 were rhizomes of A. chinensis and 38 were its processed products， 46 were rhizomes of A. lancea and 47 were its processed products. PCA and OPLS-DA showed that the 4 kinds of Atractylodis Rhizoma samples were clustered into one category respectively， indicating that the volatile components of the two kinds of Atractylodis Rhizoma were significantly changed after processing with rice-washed water， and there were also significant differences in the volatile components of rhizomes of A. lancea and A. chinensis. The compound composition of Atractylodis Rhizoma and its processed products was basically the same， but the content of the compounds was significantly different. The differential components were mainly concentrated in monoterpenoids and sesquiterpenoids， and the content of monoterpenoids mostly showed a decreasing trend. ConclusionAfter processing with rice-washed water， the contents of volatile components in rhizomes of A. lancea and A. chinensis are significantly changed， and pinene， 3-carene， p-cymene， ocimene， terpinolene， atractylon， acetic acid and furfural can be used as difference markers before and after processing.

Genetic studies of primary biliary cholangitis in the post-GWAS era / 临床肝胆病杂志

With the constant increase in the awareness of primary biliary cholangitis (PBC) and the continuous improvement in related diagnostic methods in the past two decades, the incidence and prevalence rates of PBC tend to increase and PBC is now the most common autoimmune liver disease worldwide. A series of family-based studies in the early stage have shown that PBC has strong genetic tendency, and subsequent genomic analyses have been performed for PBC in different populations and have obtained a large amount of genetic data. Future genetic studies of PBC will focus on translating these results into clinical practice.

Explanation of Scientific Connotation of Euodiae Fructus Stir-fried with Coptidis Rhizoma Based on UPLC-Q-TOF/MS and Pattern Recognition Technology / 中国实验方剂学杂志

ObjectiveTo analyze changes of the chemical composition in Euodiae Fructus before and after processing with Coptidis Rhizoma decoction， so as to provide scientific basis for elucidating the processing mechanism of this decoction pieces. MethodUltra-performance liquid chromatography-quadrupole-time-of-flight mass spectrometry （UPLC-Q-TOF/MS） was performed on a Titank C18 column （2.1 mm×100 mm， 1.8 μm）， the mobile phase was 0.1% formic acid aqueous solution-acetonitrile for gradient elution， the column temperature was set at 40 ℃， the flow rate was 0.25 mL·min-1. Electrospray ionization （ESI） was used to scan in positive and negative ion modes， and the scanning range was m/z 50-1 250. The chemical constituents in Euodiae Fructus were identified before and after processing by reference substance comparison， database matching and literature reference， and MarkerView™ 1.2.1 software was used to normalize the obtained data， SIMCA-P 14.1 software was employed to perform principal component analysis （PCA） and orthogonal partial least squares-discriminant analysis （OPLS-DA） on MS data of raw and processed products to screen the differential components before and after processing. ResultA total of 50 compounds were identified， including 48 kinds of stir-fried products with Coptidis Rhizoma decoction and 44 kinds of raw products. After processing， six compounds were added， including danshensu， noroxyhydrastinine， oxyberberine， 13-methylberberrubine， protopine and canadine. However， two kinds of compounds， including （S）-7-hydroxysecorutaecarpine and wuchuyuamide Ⅱ， were not detected after processing. In general， after processing， the overall contents of phenolic acids and flavonoids decreased significantly， the overall content of limonoids increased， and the overall content of alkaloids did not decrease insignificantly. The results of PCA and OPLS-DA showed that there were significant differences in the composition and content of the chemical components of Euodiae Fructus before and after processing， and a total of 12 variables such as quercetin， dihydrorutaecarpine and dehydroevodiamine were obtained by screening. ConclusionEuodiae Fructus stir-fried with Coptidis Rhizoma decoction mainly contains phenolic acids， flavonoids， limonoids and alkaloids. The composition and content of the chemical components have some changes before and after processing. The addition of processing excipients and hot water immersion are the main reasons for the difference， which can provide experimental basis for interpretation of the processing mechanism of this characteristic processed products of Euodiae Fructus.

Two-dimensional multiplexed assay for rapid and deep SARS-CoV-2 serology profiling and for machine learning prediction of neutralization capacity

Antibody responses serve as the primary protection against SARS-CoV-2 infection through neutralization of viral entry into cells. We have developed a two-dimensional multiplex bead binding assay (2D-MBBA) that quantifies multiple antibody isotypes against multiple antigens from a single measurement. Here, we applied our assay to profile IgG, IgM and IgA levels against the spike antigen, its receptor-binding domain and natural and designed mutants. Machine learning algorithms trained on the 2D-MBBA data substantially improve the prediction of neutralization capacity against the authentic SARS-CoV-2 virus of serum samples of convalescent patients. The algorithms also helped identify a set of antibody isotype-antigen datasets that contributed to the prediction, which included those targeting regions outside the receptor-binding interface of the spike protein. We applied the assay to profile samples from vaccinated, immune-compromised patients, which revealed differences in the antibody profiles between convalescent and vaccinated samples. Our approach can rapidly provide deep antibody profiles and neutralization prediction from essentially a drop of blood without the need of BSL-3 access and provides insights into the nature of neutralizing antibodies. It may be further developed for evaluating neutralizing capacity for new variants and future pathogens.