Antibodies play a critical role in adaptive immune responses and serve as key components in disease diagnosis and treatment. These molecules exhibit dynamic post-translational modifications (PTMs), such as glycosylation and phosphorylation, which regulate their effector functions. To date, nearly all of our knowledge about antibody repertoires has come from B cell receptor (BCR) sequencing (BCR-seq), which facilitates the profiling of clonal composition and the tracing of maturation trajectories within B-cell repertoires. However, circulating antibodies found in bodily fluids—such as serum, saliva, milk, mucosal secretions, and cerebrospinal fluid—exhibit diversities and specificities beyond what BCR-seq alone can predict. Therefore, identifying and quantifying antibody clonotypes at the protein level could enhance diagnosis, prognosis, and treatment strategies in personalized medicine. The critical gap between genotype and phenotype necessitates complementary methodologies that enable the direct characterization of antibody proteins in their native functional states. Mass spectrometry (MS)-based antibody repertoire sequencing (Ab-seq) is currently the only feasible approach for this task and primarily includes database-dependent methods—such as bottom-up, middle-down, and top-down approaches—as well as database-independent de novo sequencing technology. These strategies enable multi-level, high-precision characterization ranging from peptides and domains to intact antibody molecules. Unlike the shotgun strategy commonly used in routine proteomics, obtaining full sequences of all antibodies presents unique challenges. It requires specialized methodological adaptations to address issues related to dynamic range, sequence variation, and sample complexity. This review introduces the technical principles, methodological workflows, and recent applications of various mass spectrometry-based antibody repertoire sequencing (Ab-seq) strategies, with a focus on approaches designed to improve sequence coverage and identification accuracy. These include multi-enzyme digestion, hybrid fragmentation methods, and artificial intelligence-assisted de novo sequencing. By systematically comparing database-dependent techniques—such as bottom-up, middle-down, and top-down approaches—with database-independent de novo sequencing, this review outlines their respective advantages and limitations in terms of sample throughput, sequence coverage, post-translational modification characterization, and data analysis complexity. In addition, this review discusses emerging technological trends, including the integration of ion mobility separation, native mass spectrometry, and artificial intelligence-driven data interpretation, which are expected to enhance the depth and accuracy of antibody characterization. Although current methods continue to face challenges related to sample complexity, dynamic range, and unambiguous sequence variant assignment, we emphasize the importance of integrating BCR-seq and Ab-seq data to construct gene-protein association maps. These maps help validate sequence accuracy and facilitate epitope discovery. This dual-platform strategy helps bridge the gap between genotype and phenotype, thereby enhancing both the resolution and scope of antibody repertoire studies. Such an integrative approach also offers a valuable tool for therapeutic antibody development, structure-function analysis, and precise evaluation of vaccine efficacy.

Arsenic is a semi-metal,and lipid-soluble arsenic compounds are one of the widespread forms in the environment and food chain,but there is a lack of standards for lipid-soluble arsenic compounds,which is one of the bottlenecks in the current analytical detection and toxicological studies of organic arsenic.In this study,four saturated arsenic-containing hydrocarbons,AsHC 318,AsHC 332,AsHC 346,and AsHC 374(The number is relative molecular mass),were successfully synthesized in three steps by using dimethylarsinic acid,potassium iodide,sodium hydroxide,and four brominated alkanes(1-Bromotetradecane,1-bromopentadecane,1-bromohexadecane,and 1-bromooctadecane)as raw materials.The structures of these four saturated arsenic-containing hydrocarbons were characterized by proton nuclear magnetic resonance(1H NMR)spectroscopy,13C nuclear magnetic resonance(13C NMR)spectroscopy,and high-resolution mass spectrometry(HR-MS).The yields of the method were 8%-10%,and the synthesized compounds could be used in subsequent toxicity evaluation experiments to assess the toxic effects and mechanisms of action of arsenic-containing hydrocarbons.This study provided an effective method for synthesis of arsenic-containing hydrocarbons,enriching the synthesis methods of arsenic-containing hydrocarbons,and provided raw materials for the subsequent toxicological studies of arsenic-containing hydrocarbons.

The rapid and non-destructive detection of constituent content of fresh tea leaves shows an important reference value for quality identification of tea.Visible near infrared(Vis-NIR)spectroscopy has been used for qualitative and quantitative analysis of chemical components in plant samples with the advantages such as simple,rapid and non-destructive detection.In this study,residual attention convolutional neural network(RACNN)was used to predict the internal constituent content of fresh tea leaves.Firstly,the reflectance spectral data of the samples in the Vis-NIR band range and the constituent contents of gallic acid(GA),gallocatechin(GC),epigallocatechin(EGC),and epigallocatechin gallate(ECG)in fresh tea leaves were collected.Based on the preprocessing of the spectral data,the contents of the four components were predicted using a partial least squares regression(PLSR)model,and the optimal preprocessing was determined.Subsequently,the characteristic bands were extracted using the random forest(RF)algorithm.Finally,the performances of PLSR,convolutional neural network(CNN)and RACNN models were compared.The results showed that for GA,the RACNN model worked best with a validation set coefficient of determination(R2)of 0.946 and a root mean square error of the prediction set(RMSEP)of 1.173;for GC,the RACNN model works best with a validation set R2 of 0.928 and RMSEP of 6.081;for EGC,the RACNN model works best with a validation set R2 of 0.891 and a RMSEP of 15.197;for ECG,the RACNN model worked best with a validation set R2 of 0.878 and a RMSEP of 7.837.The RACNN model established by Vis-NIR spectroscopy combined with chemometrics could realize the accurate detection of the contents of components in fresh tea.

Objective To establish a rapid screening and analysis method for etomidate and its ana-logues using a portable mass spectrometer equipped with a thermal desorption-atmospheric pressure chemical ionization source-linear ion trap.Methods A 10 μL aliquot of a standard solution at a con-centration of 1 μg/mL was taken,and after the solvent evaporated,the sample was inserted into the in-let of the portable mass spectrometer for detection.By adjusting the collision-induced dissociation pa-rameters,the molecular ion peak and fragment ion peak information of the standard were obtained and used to establish a reference database.In addition,the method was applied to 29 seized liquid and plant samples.Results A screening system for etomidate and its analogues was established based on the portable mass spectrometer and the corresponding mass spectrometry library.The system enables qualitative screening analysis by identifying primary protonated molecular ions and secondary product ions of etomidate and its analogues.The limits of detection for etomidate and its 12 analogues ranged from 0.1 to 10 μg/mL.Etomidate and its analogues were detected in all 29 liquid and plant samples.However,this method could not distinguish between isomeric imidazole esters,such as isopropoxate and propoxate.Additionally,when testing 2-SH-etomidate,there was a false positive for the detection of etomidate.Conclusion This study established a rapid screening method for etomidate and its ana-logues using a portable mass spectrometer.The method combines the high sensitivity of mass spectrome-try with the on-site applicability of portable devices,significantly improving detection efficiency and meeting the on-site detection needs of etomidate and its analogues.

Objective To investigate the correlation between serum homocysteine(Hcy),hemoglobin(HGB)and hematocrit(HCT)levels and the severity of condition and inflammatory factor levels in patients with chronic atrophic gastritis.Methods A total of 122 patients with chronic atrophic gastritis admitted to a hospital from January 2022 to December 2023 were selected as the disease group,and the disease group was di-vided into mild group(n=63)and severe group(n=59)according to pathological grades,and 106 healthy volunteers who underwent physical examination in a hospital during the same period were selected as the con-trol group.Clinical data of patients were collected and binary Logistic regression analysis was performed to an-alyze the factors affecting the severity of patients'condition,and Pearson correlation analysis was used to ana-lyze the correlation between Hcy,HGB,HCT and the levels of inflammatory factors.Receiver operating char-acteristic(ROC)curve was drawn to analyze the diagnostic value of Hcy,HGB and HCT on the severity of patients'condition.Results Compared with the control group,the serum Hcy level in the diseased group was increased,the serum HGB and HCT levels were decreased,the difference was statistically significant(P<0.05).Compared with the mild group,the serum Hcy level in the severe group was increased,the HGB and HCT levels were decreased,and the difference was statistically significant(P<0.05).Compared with mild group,the levels of C-reactive protein(CRP),tumor necrosis factor-α(TNF-α)and interleukin(IL)-6 in se-vere group were increased,and the levels of IL-10 were decreased,with statistical significance(P<0.05).Bi-nary Logistic regression analysis showed that Hcy and CRP were the risk factors affecting the severity of pa-tients'condition(P<0.05),and HCT,HGB and IL-10 were the protective factors affecting the severity of pa-tients'condition(P<0.05).Hcy was positively correlated with CRP,TNF-α and IL-6,and negatively correla-ted with IL-10(P<0.05).HGB and HCT were negatively correlated with CRP,TNF-α and IL-6,and posi-tively correlated with IL-10(P<0.05).ROC curve analysis showed that the area under the curve of serum Hcy,HGB,HCT and the combined diagnosis of the severity of patients'condition were 0.834,0.814,0.822 and 0.923,respectively,and the combined diagnosis value of the three was significantly better than that of Hcy(Z=2.519,P=0.012),HGB(Z=2.660,P=0.008)and HCT(Z=2.596,P=0.009)alone.Conclusion The increase of serum Hcy and the decrease of serum HGB and HCT in patients with chronic atrophic gastritis are correlated with the severity of the patient's condition and the level of inflammatory factors.The combined de-tection of the three can be used for the diagnosis of the severity of chronic atrophic gastritis.

Objective To investigate the expression and clinical significance of serum microRNA-141-3p(miR-141-3p)and Kelch like epichlorohydrin associated protein 1(KEAP1)in neonatal acute respiratory dis-tress syndrome(NARDS).Methods A total of 121 children with NARDS admitted to the hospital from Janu-ary 2022 to March 2024(NARDS group)and 65 healthy neonates during the same period(control group)were selected.According to the degree of disease,the children with NARDS were divided into the mild NARDS group(4≤oxygen index<8,48 cases),the moderate NARDS group(8≤oxygen index<16,46 ca-ses),the severe NARDS group(oxygen index≥16,27 cases),and the children with NARDS were divided into the death group(18 cases)and the survival group(103 cases)according to the 28-day prognosis.Serum miR-141-3p and KEAP1 levels were detected by fluorescence quantitative polymerase chain reaction and enzyme-linked immunosorbent assay.The correlation between serum miR-141-3p and KEAP1 levels in children with NARDS was analyzed by Pearson correlation coefficient.The correlation between serum miR-141-3p and KEAP1 levels and oxygen index in children with NARDS was analyzed by Spearman correlation coefficient.Receiver operating characteristic(ROC)curve was plotted to analyze the predictive efficacy of serum miR-141-3p and KEAP1 levels on the death in children with NARDS.Results Serum miR-141-3p level in the NARDS group was lower than that in the control group,and KEAP1 level in the NARDS group was higher than that in the control group(t=14.288,12.596,P<0.001).There was a binding site between miR-141-3p and KEAP1 at the 3'-untranslated region 131-138.Pearson correlation showed that serum miR-141-3p was negatively correlated with KEAP1 level in children with NARDS(r=-0.745,P<0.001).The levels of ser-um miR-141-3p increased sequentially in the severe NARDS group,moderate NARDS group,and mild NARDS group,while the level of KEAP1 decreased sequentially(F=185.469,113.126,P<0.001).Spearman correla-tion coefficient showed that oxygen index in children with NARDS was negatively correlated with serum miR-141-3p level(r=-0.815,P<0.001)and positively correlated with serum KEAP1 level(r=0.827,P<0.001).Serum miR-141-3p level in the dead group was lower than that in the survival group,and KEAP1 level was higher than that in the surviving group(t=4.213,4.495,P<0.001).The area under the curve of the combined prediction of serum miR-141-3p and KEAP1 levels for the death in children with NARDS was 0.878(95%CI:0.806-0.930),which was greater than 0.783(95%CI:0.699-0.853)and 0.786(95%CI:0.702-0.855)predicted by serum miR-141-3p and KEAP1 levels alone(Z=2.963,2.021,P<0.05).Conclu-sion The serum miR-141-3p level is decreased and the KEAP1 level is increased in children with NARDS,which is associated with worsening of the disease and poor prognosis.The combination of serum miR-141-3p and KEAP1 levels has high predictive efficacy for death in children with NARDS.

Objective To investigate the correlation between serum insulin like growth factor 1 receptor(IGF1R)and epidermal growth factor-like domain-containing protein 7(EGFL7)levels and the condition and pregnancy outcome of patients with preeclampsia(PE).Methods A total of 120 PE patients admitted to the hospital from January 2021 to January 2024(PE group)and 60 healthy pregnant women during the same peri-od(control group)were selected.The PE patients were divided into severe PE group(68 cases)and mild PE group(52 cases)according to their conditions,and divided into poor group(62 cases)and good group(68 ca-ses)according to the pregnancy outcome.Enzyme-linked immunosorbent assay was used to detect serum IGF1R,EGFL7 levels.Using the pregnancy outcome of PE patients as the dependent variable,multivariate un-conditional Logistic regression was used to determine the influencing factors of their pregnancy outcomes,and receiver operating characteristic curve was used to evaluate the predictive value of serum IGF1R and EGFL7 levels.Results Compared with the control group,serum IGF1R levels were reduced and EGFL7 levels were increased in the PE group(t=-16.908,16.234,P＜0.001).Serum IGF1R levels were decreased and EGFL7 levels were increased in the severe PE group compared with the mild PE group(t=-5.317,5.305,P＜0.001).The incidence of adverse pregnancy outcomes in PE patients was 51.67％(62/120).The independent risk factors for adverse pregnancy outcomes in patients with PE were severe PE(OR=3.906,95％CI:1.305-11.689),elevated 24-h urinary protein(OR=2.030,95％CI:1.290-3.194),elevated EGFL7(OR=1.116,95％CI:1.040-1.198),and the independent protective factor was elevated IGF1R(OR=0.908,95％CI:0.865-0.954,P＜0.05).The area under the curve for serum IGF1R and EGFL7 levels alone and in com-bination to predict adverse pregnancy outcomes in PE patients was 0.791(95％CI:0.707-0.860),0.784(95％CI:0.700-0.854),and 0.866(95％CI:0.781-0.911),and serum IGF1R and EGFL7 levels were grea-ter jointly(Z=2.456,2.244,P＜0.05).Conclusion Decreased serum IGF1R levels and increased EGFL7 levels are associated with exacerbation and adverse pregnancy outcomes in patients with PE,and the combina-tion of serum IGF1R and EGFL7 levels is of high value in predicting adverse pregnancy outcomes in patients with PE.

Laparoscopic subtotal cholecystectomy (LSC) has been a safe and viable alternative to conversion to laparotomy in cases of severe cholecystitis. The objective of this study is to determine the utility of intraoperative choledochoscopy in LSC for the exploration of the gallbladder, cyst duct, and subsequent stone clearance of the cystic duct in cases of severe cholecystitis. A total of 72 patients diagnosed with severe cholecystitis received choledochoscopy-assisted laparoscopic subtotal cholecystectomy (CALSC). A choledochoscopy was performed to explore the gallbladder cavity and/or cystic duct, and to extract stones using a range of techniques. The clinical records, including the operative records and outcomes, were subjected to analysis. No LSC was converted to open surgery, and no bile duct or vascular injuries were sustained. All stones within the cystic duct were removed by a combination of techniques, including high-frequency needle knife electrotomy, basket, and electrohydraulic lithotripsy. A follow-up examination revealed the absence of residual bile duct stones, with the exception of one common bile duct stone, which was extracted via endoscopic retrograde cholangiopancreatography. In certain special cases, CALSC may prove to be an efficacious treatment for the management of severe cholecystitis. This technique allows for optimal comprehension of the situation within the gallbladder cavity and cystic duct, facilitating the removal of stones from the cystic duct and reducing the residue of the non-functional gallbladder remnant.

The effect of Huanglian Jiedu Decoction on the intestinal flora of type 2 diabetes mellitus(T2DM) was investigated using 16S rRNA sequencing technology. Sixty rats were randomly divided into a normal group(10 rats) and a modeling group(50 rats). After one week of adaptive feeding, a high-fat diet + streptozotocin was given for modeling, and fasting blood glucose >16.7 mmol·L~(-1) was considered a sign of successful modeling. The modeling group was randomly divided into the model group, high-, medium-, and low-dose groups of Huanglian Jiedu Decoction, and metformin group. After seven days of intragastric treatment, the feces, colon, and pancreatic tissue of each group of rats were collected, and the pathological changes of the colon and pancreatic tissue of each group were observed by hematoxylin-eosin staining. The changes in the intestinal flora structure of each group were observed by the 16S rRNA sequencing method. The results showed that compared with the model group, the high-, medium-, and low-dose of Huanglian Jiedu Decoction reduced fasting blood glucose levels to different degrees and showed no significant changes in body weight. The number of islet cells increased, and intestinal mucosal damage attenuated. Alpha diversity analysis revealed that Huanglian Jiedu Decoction reduced the abundance and diversity of intestinal flora in rats with T2DM; at the phylum level, low-and mediam-dose of Huanglian Jiedu Decoction reduced the abundance of Bacteroidota, Proteobacteria, and Desulfobacterota and increased the abundance of Firmicute and Bacteroidota/Firmicutes, while the high-dose of Huanglian Jiedu Decoction increased the relative abundance of Proteobacteria and Bacteroidota/Firmicutes ratio, and decreaseal the relative; abundance of Firmicute; at the genus level, Huanglian Jiedu Decoction increased the relative abundance of Allobaculum, Blautia, and Lactobacillus; LEfse analysis revealed that the biomarker of low-and medium-dose groups of Huanglian Jiedu Decoction was Lactobacillus, and the structure of the intestinal flora of the low-dose group of Huanglian Jiedu Decoction was highly similar to that of the metformin group. PICRUSt2 function prediction revealed that Huanglian Jiedu Decoction mainly affected carbohydrate and amino acid metabolic pathways. It suggested that Huanglian Jiedu Decoction could reduce fasting blood glucose and increase the number of islet cells in rats with T2DM, and its mechanism of action may be related to increasing the abundance of short-chain fatty acid-producing strains and Lactobacillus and affecting carbohydrate and amino acid metabolic pathways.
Animals ; Drugs, Chinese Herbal/administration & dosage* ; Diabetes Mellitus, Type 2/metabolism* ; Gastrointestinal Microbiome/drug effects* ; Rats ; Male ; Rats, Sprague-Dawley ; Humans ; Bacteria/drug effects* ; Blood Glucose/metabolism*

In this study, potential quality markers(Q-markers) of Schisandrae Chinensis Fructus for treating bronchial asthma were predicted based on analytic hierarchy process(AHP), entropy weight method(EWM), fingerprint, and network pharmacology. AHPEWM was employed to quantitatively identify the Q-markers of Schisandrae Chinensis Fructus. AHP was used to weight the primary indicators(effectiveness, measurability, and specificity), while EWM was employed to analyze the secondary indicators of each primer indicator. Further, through fingerprint combined with network pharmacology, a ″component-target-pathway″ network was constructed to screen the components of Schisandrae Chinensis Fructus for treating bronchial asthma. It was finally determined that schisandrol A,schisandrin A, and schisandrin B were potential Q-markers of Schisandrae Chinensis Fructus in the treatment of bronchial asthma. This study is the first to comprehensively use AHP-EWM, fingerprint, and network pharmacology to screen the key Q-markers of Schisandrae Chinensis Fructus in the treatment of bronchial asthma. This study provides a scientific basis for improving the quality standard of Schisandrae Chinensis Fructus and lays a foundation for studying its material basis in treating bronchial asthma.
Schisandra/chemistry* ; Asthma/drug therapy* ; Drugs, Chinese Herbal/therapeutic use* ; Network Pharmacology ; Humans ; Entropy ; Lignans/analysis* ; Fruit/chemistry* ; Quality Control ; Cyclooctanes ; Polycyclic Compounds/analysis*