Chronic pancreatitis （CP） is a common disease in clinical practice characterized by progressive inflammatory fibrosis of the pancreas. Gut microbiota， known as the “second genome” of humans， bidirectionally modulates the progression of fibrosis in CP via the gut-pancreas axis. This article systematically elaborates on the characteristics of gut microbiota during the progression of CP and its molecular mechanism in mediating pancreatic fibrosis through bacterial translocation， metabolites， immune regulatory networks， and microbe-pancreatic stellate cell interactions， with a focus on the pivotal role of short-chain fatty acids and inflammatory cytokine networks in pancreatic stellate cell activation and extracellular matrix deposition. In addition， this article explores the potential value of gut microbiota-targeted interventions in the prevention and treatment of CP fibrosis， such as probiotics， prebiotics， and fecal microbiota transplantation， and discusses the translational potential of using multi-omics technologies to identify diagnostic biomarkers and novel therapeutic targets for CP， in order to provide new ideas for the precise diagnosis and treatment of CP.

Short-chain fatty acids （SCFA） are the main metabolic products generated by the fermentation of dietary fiber by gut microbiota. Studies have shown that SCFA not only play a role in energy metabolism， but also act as important signaling molecules， exhibiting a significant potential in alleviating liver and pancreatic fibrosis. The core mechanism of SCFA mainly involves the regulation of various key signaling pathways by activating G protein-coupled receptors and inhibiting the activity of histone deacetylase， thereby suppressing the activation and proliferation of hepatic stellate cell （HSC） and pancreatic stellate cell （PSC）， which is a key link in fibrosis formation. In addition， SCFA can effectively alleviate tissue inflammation response， improve intestinal barrier function， and regulate gut microbiota balance， thus indirectly preventing the process of fibrosis mediated by the “gut-liver/pancreas axis”. Compared with the research on SCFA in liver fibrosis， studies on their role in pancreatic fibrosis are limited. Given that HSC and PSC are highly homologous， the transcription factors and proteins that have been confirmed in liver fibrosis-related studies are also similarly expressed in PSC， suggesting that they may also influence the activation of PSC. This article systematically summarizes the recent advances in the research on SCFA in alleviating liver and pancreatic fibrosis， in order to provide new perspectives for exploring the mechanism of pancreatic fibrosis and developing related interventional strategies.

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.

Objective　To explore the whole genome structure of Brucella in Ordos city, conduct bioinformatics analysis, and explore a variety of Brucella species type identification methods, so as to provide a theoretical basis for the study of Brucella in Ordos City. Methods　The whole genome was sequenced using illumina Miseq gene sequencer. The Microobench microbial gene analysis workstation was used to analyze the genome components, genome annotation, 16Sr DNA, SNP sites, insertions and deletions, MLST sites, and phylogenetic tree of 15 strains of Brucella. Results　The average sequencing depth of 15 Brucella strains was 170.04×, the average genome size was 3 290 725 bp, the genome coverage was 99.93%, and the average GC content of assembly files was 54.69%. The results of 16Sr DNA analysis showed that the homology of 15 Brucella strains and Brucella Maltese was 100%. The analysis results of SNP sites and insert-deletion variation showed that the average number of SNPs of the 15 strains of Brucella was 2 412, the average number of polynucleotide mutations was 39, the average number of insertional variants was 131, the average number of missing variants was 153, the average number of complex variants was 43, and the average number of total variants was 2 778. MLST locus analysis showed that all 15 strains of Brucella were ST-8. Conclusion　Based on the whole genome sequencing of 15 strains of Brucella in Ordos City, this study carried out a variety of type identification methods. Different methods have different focuses, and multiple methods are needed to confirm each other, so as to obtain more accurate experimental results and provide more research basis for the study of Brucella, to provide more data and theoretical support for the control and prevention of brucellosis in Ordos City.

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

Forsythia suspensa is a traditional Chinese medicine and a commonly used landscaping plant. Its dried fruit is used in medicine for its functions of clearing heat, removing toxins, reducing swelling, dissipating masses, and dispersing wind and heat. It possesses extremely high medicinal and economic value. However, the genetic differentiation and diversity of its wild populations remain unclear. In this study, chloroplast genome sequences were obtained from 15 wild individuals of F. suspensa using high-throughput sequencing technology. The sequence characteristics and intraspecific variations were analyzed. The results were as follows:(1) The full length of the F. suspensa chloroplast genome ranged from 156 184 to 156 479 bp, comprising a large single-copy region, a small single-copy region, and two inverted repeat regions. The chloroplast genome encoded a total of 132 genes, including 87 protein-coding genes, 37 tRNA genes, and 8 rRNA genes.(2) A total of 166-174 SSR loci, 792 SNV loci, and 63 InDel loci were identified in the F. suspensa chloroplast genome, indicating considerable genetic variation among individuals.(3) Population structure analysis revealed that F. suspensa could be divided into five or six groups. Both the population structure analysis and phylogenetic reconstruction results indicated significant genetic variation within the wild populations of F. suspensa, with no obvious correlation between intraspecific genetic differentiation and geographical distribution. This study provides new insights into the genetic diversity and differentiation within F. suspensa species and offers additional references for the conservation of species diversity and the utilization of germplasm resources in wild F. suspensa.
Genome, Chloroplast ; Forsythia/classification* ; Phylogeny ; Genetic Variation ; Chloroplasts/genetics* ; Microsatellite Repeats

This study aims to explore the scientific connotation of sinking Rehmanniae Radix has the best quality and compare the quality between floating and sinking fresh Rehmanniae Radix samples. Ultra-performance liquid chromatography tandem quadrupole electrostatic field Orbitrap high-resolution mass spectrometry(UHPLC-Q-Orbitrap HRMS) was employed to detect the chemical components in floating and sinking fresh Rehmanniae Radix samples. The fingerprint of fresh Rehmanniae Radix was established by high performance liquid chromatography(HPLC), and four index components were determined simultaneously. The cluster analysis, principal component analysis(PCA), and orthogonal partial least squares-discriminant analysis(OPLS-DA) were conducted to compare the quality of floating and sinking fresh Rehmanniae Radix samples. An evaporative light-scattering detector was used to compare the content of five sugars. The extract yield and drying rate were determined, and the quality connotation of sinking Rehmanniae Radix has the best quality was explained by multiple indicators. A total of 41 components were preliminarily identified from fresh Rehmanniae Radix by UHPLC-Q-Orbitrap HRMS, including 7 iridoid glycosides, 9 phenylethanol glycosides, 6 amino acids, 4 sugars, 3 phenolic acids, 5 nucleosides, 3 organic acids, 1 ionone, 1 furan, 1 coumarin, and 1 phenylpropanoid. The results showed that the main chemical components were consistent between floating and sinking fresh Rehmanniae Radix. Nine common peaks were identified in the fingerprints of 15 batches of floating and sinking fresh Rehmanniae Radix samples, and the similarity of fingerprints was greater than 0.9. The cluster analysis, PCA, and OPLS-DA classified floating and sinking fresh Rehmanniae Radix sasmples into two categories, indicating differences in the quality between them. The total content of catalpol, rehmannioside D, ajugol, and verbascoside in sinking fresh Rehmanniae Radix samples was higher than that in floating samples of the same batch and specification, and the main differential component was catalpol. The total content of fructose, glucose, sucrose, raffinose, and stachyose in sinking fresh Rehmanniae Radix samples was higher than that in floating samples of the same batch and specification, and the main differential component was stachyose. The extract yield and drying rate of the sinking samples were higher than those of floating samples. This study preliminarily showed that floating and sinking fresh Rehmanniae Radix samples had the same components but great differences in the content of medicinal substance basis. The total content of four glycosides and five sugars, extract yield, and drying rate of sinking fresh Rehmanniae Radix samples is higher than that of floating samples of the same batch and specification. These findings, to a certain extent, explains the scientificity of sinking Rehmanniae Radix has the best quality recorded in ancient books and provide a reference for the quality control and clinical application of fresh Rehmanniae Radix.
Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Rehmannia/chemistry* ; Chemometrics ; Mass Spectrometry/methods* ; Quality Control ; Principal Component Analysis ; Plant Extracts

Objective:To investigate the carriage of the thalassemia gene in sperm donors in Chongqing,China by analyzing the thalas-semia screening and gene mutation types of sperm donors in Chongqing Human Sperm Bank(CHSB),and to provide a reference for thalassemia screening in sperm donors in Chongqing.Methods:Blood samples were collected from 488 sperm donors in CHSB(donors with all tests qualified during the quarantine)from December 2021 to August 2024.A complete blood count analysis was performed to measure the mean corpuscular volume(MCV)and mean corpuscular hemoglobin(MCH).Polymerase chain reaction(PCR)/agarose gel electrophoresis was used to detect deletional α-thalassemia mutations.PCR and DNA reverse dot blot hybridization were used to detect 3 common non-deletional α-thalassemia mutations and 17 common β-thalassemia mutations.The test results were then analyzed.Results:Among the 488 sperm donors aged 25.64±4.95 years,15(3.07％,all Han nationality)tested positive for thalassemia.This carriage rate was lower than that of the thalassemia population in Chongqing(9.24％).Among the 15 thalassemia carriers,13 had deletional α-gene mutations(-α3.7 genotype in 11 cases[73.33％],-α4.2 genotype in 1 case[6.67％],and-SEA genotype in 1 case[6.67％]),and 2 had non-deletional α-gene mutations(both with the WSM heterozygous mutation).There was only 1 case of abnor-mal MCV and MCH2 indicators among thalassemia carriers(screening positive rate was 6.67％).Conclusion:Thalassemia screening in sperm donors in CHSB reveals a low thalassemia carriage rate,reflecting geographic(predominantly Sichuan and Chongqing ori-gins)and demographic(healthy men of childbearing potential)characteristics.Given the significant impact of thalassemia on the off-spring conceived through sperm donation,it is recommended to conduct thalassemia gene screening among sperm donors in human sperm banks.

Integrated metabolomic and lipidomic profiling,utilizing liquid chromatography coupled with high-resolution mass spectrometry(LC-HRMS),has emerged as a pivotal strategy for biomarker discovery.However,the inherent polarity disparity between metabolites and lipids complicates simultaneous analysis.To address this,a dual-stationary phase polarity-extended liquid chromatography(PELC)system was developed,which surpassed conventional one-dimensional LC(1D-LC)by enabling comprehensive coverage of both polar and non-polar compounds within a single injection.This system enhanced chromatographic resolution,peak capacity,and throughput while minimizing analytical variability.Extracellular vesicles(EVs),lipid bilayer-enclosed nanoparticles ubiquitously present in biofluids,had gained prominence as reservoirs of cancer biomarkers due to their cargo stability and pathophysiological relevance.Herein,the application of PELC-HRMS for concurrent metabolome-lipidome profiling in EVs was pioneered.A total of 193 metabolites were identified using this technique coupled with MS-DIAL software and Human Metabolome Database.Subsequently,this technique was employed to explore potential biomarkers for prostate cancer(PCa).Multivariate analysis identified 17 differentially abundant metabolites in PCa,implicating dysregulated pathways including purine metabolism,starch and sucrose metabolism,galactose metabolism,cysteine and methionine metabolism,and biosynthesis of unsaturated fatty acids.Notably,creatine(AUC=0.92)and DG 42:5(AUC=0.80)demonstrated robust diagnostic efficacy,attributable to their broad polarity ranges and EV-specific enrichment.This study established PELC as a high-fidelity platform for multi-omics integration in complex biospecimens,advancing mechanistic insights into metabolic rewiring and disease pathophysiology.

Objective:To explore the relationship between the expression levels of succinate receptor 1 (SUCNR1) and Y-box binding protein 1 (YBX1) in colorectal cancer tissues of patients with colorectal cancer liver metastases (CRLM) and their clinicopathological characteristics and prognosis.Methods:One hundred and five CRLM patients who underwent surgical treatment in Suzhou Kowloon Hospital of Shanghai Jiao Tong University School of Medicine from January 2016 to May 2020 were taken as the study subjects. The high expression rates of SUCNR1 and YBX1 in cancer tissues and adjacent tissues were compared. Clinicopathological characteristics and prognosis of patients with high and low SUCNR1 and YBX1 expression were compared. Univariate and multivariate Cox proportional risk regression models were applied to analyze prognostic influencing factors.Results:SUCNR1 staining was mainly located on the cell membrane in colorectal cancer tissues, and positive staining showed yellow or brownish yellow; YBX1 was mainly located in the cytoplasm of colorectal cancer tissues, and positive staining showed yellow or brownish yellow. The high expression rate of SUCNR1 in cancer tissues (74.29%, 78/105) of CRLM patients was obviously higher than that in adjacent tissues (27.62%, 29/105), and the high expression rate of YBX1 in cancer tissues (84.76%, 89/105) was obviously higher than that in adjacent tissues (32.38%, 34/105), with statistically significant differences ( χ2=45.75, P<0.001; χ2=59.36, P<0.001). There were statistically significant differences in histological grade ( χ2=7.43, P=0.006) and the time from colorectal cancer diagnosis to liver metastasis ( χ2=9.19, P=0.002) between patients with high and low expression of SUCNR1; there was a statistically significant difference in time from colorectal cancer diagnosis to liver metastasis ( χ2=13.08, P<0.001) between patients with high and low expression of YBX1. The 3-year overall survival (OS) rates of patients with high and low expression of SUCNR1 were 52.56% and 77.78%, respectively, with a statistically significant difference ( χ2=6.10, P=0.014) ; the 3-year OS rates of patients with high and low expression of YBX1 were 53.93% and 87.50%, respectively, with a statistically significant difference ( χ2=6.02, P=0.014). Univariate analysis showed that, histological grade ( HR=4.69, 95% CI: 1.14-19.36, P=0.033), time from colorectal cancer diagnosis to liver metastasis ( HR=4.05, 95% CI: 1.02-16.62, P=0.048), cancer tissues SUCNR1 ( HR=5.12, 95% CI: 1.17-22.34, P=0.030), and YBX1 expression ( HR=6.29, 95% CI: 1.55-25.47, P=0.010) were all influencing factors for OS in CRLM patients. Multivariate analysis showed that, histological grade ( HR=4.16, 95% CI: 1.12-15.54, P=0.034), time from colorectal cancer diagnosis to liver metastasis ( HR=5.59, 95% CI: 1.25-24.99, P=0.024), expression of SUCNR1 in cancer tissues ( HR=3.68, 95% CI: 1.28-10.54, P=0.015), and expression of YBX1 in cancer tissues ( HR=3.42, 95% CI: 1.56-7.52, P=0.002) were all independent influencing factors for OS in CRLM patients. Conclusions:The high expression rates of SUCNR1 and YBX1 in cancer tissues of CRLM patients are higher than those in adjacent tissues. Patients with high and low SUCNR1 expression have differences in tumor histological grade, time from colorectal cancer diagnosis to liver metastasis, patients with high and low YBX1 expression has a difference in time from colorectal cancer diagnosis to liver metastasis. The 3-year OS rates of patients with low expression of SUCNR1 and YBX1 are higher than those of patients with high expression. The histological grade, the time from colorectal cancer diagnosis to liver metastasis, and the expression of SUCNR1 and YBX1 in cancer tissues are all independent influencing factors for OS in CRLM patients.