Lipidomics is an emerging discipline that systematically studies the various types, functions, and metabolic pathways of lipids within living organisms. This field compares changes in diseases or drug impact, identifying biomarkers and molecular mechanisms present in lipid metabolic networks across different physiological or pathological states. Through employing analytical chemistry within the realm of lipidomics, researchers analyze traditional Chinese medicine (TCM). This analysis aids in uncovering potential mechanisms for treating diverse physiopathological conditions, assessing drug efficacy, understanding mechanisms of action and toxicity, and generating innovative ideas for disease prevention and treatment. This manuscript assesses recent literature, summarizing existing lipidomics technologies and their applications in TCM research. It delineates the efficacy, mechanisms, and toxicity research related to lipidomics in Chinese medicine. Additionally, it explores the utilization of lipidomics in quality control research for Chinese medicine, aiming to expand the application of lipidomics within this field. Ultimately, this initiative seeks to foster the integration of traditional medicine theory with modern science and technology, promoting an organic fusion between the two domains.

Objective: To delineate the epidemiologic profile of rifampicin resistant pulmonary tuberculosis (RR-PTB) among students in Chongqing, so as to provide evidence for effectively controlling RR-PTB outbreaks in schools. Methods: Individual level surveillance records of 395 student RR-PTB cases reported from 2015 to 2024 were extracted from the China Information System for Disease Control and Prevention. The Joinpoint regression analysis was employed to quantify temporal trends in the registration rate of student RR-PTB cases, and the comparison of RR-PTB registration rates with different demographic characteristics and different regions was performed using Chi-square test. Results: From 2015 to 2024, a total of 395 student RR-PTB cases were identified, with the registration rate ranged from 0.07 per 100 000 to 1.47 per 100 000, showed a fluctuating upward trend ( AAPC= 35.22%, t =4.13, P <0.01). A turning point was detected in 2017, rates rose during 2015-2017 (APC=295.23%， t =4.62， P < 0.01 ) and plateaued thereafter (APC=-0.47%， t =-0.12， P =0.91). The proportion of RR-PTB cases occurring among students increased both among all RR-PTB cases (1.54% in 2015, 7.48% in 2024) and all student pulmonary tuberculosis cases (0.20% in 2015, 7.17% in 2024), with significant linear trends ( χ 2 trend =33.55,159.98, both P <0.01). The majority of cases were enrolled in senior high school (50.38%), classified as retreatment (53.92%), of Han ethnicity (75.95%), and diagnosed with multidrug resistant tuberculosis(53.16%). There were significant differences in the composition of different ethnicity, registration category and resistance pattern between different years( χ 2=23.47, 17.23, 59.64，all P <0.05). The South-Eastern Wuling Mountainous Region exhibited the highest notification rate (3.96 per 100 000), whereas the western region had the lowest rate ( 0.47 per 100 000). County level jurisdictions reported higher rates than district level ones (2.16 per 100 000 vs 0.63 per 100 000 ). Statistically significant differences were observed in the RR-PTB reported rates among students across different districts and counties( χ 2=418.05,167.05,both P <0.01). Conclusions From 2015 to 2024, the registration rate of detected student RR-PTB cases in Chongqing showed an increasing trend. Students have become one of the key populations for drug resistant TB prevention and control. Intensified health education and active case finding should be implemented to enhance proactive surveillance capabilities.

Objective:To investigate the correlation between cerebral blood flow (CBF) in different brain regions and gait disorder (GD) in patients with cerebral small vessel disease (CSVD).Methods:Patients with CSVD visited the Department of Neurology, the Second Affiliated Hospital of Xuzhou Medical University from November 2023 to October 2024 were included prospectively. They were divided into GD group (<0.8 m/s) and non-GD group (≥0.8 m/s) based on their step speed. CBF was measured using 3D pseudo-continuous arterial spin labeling (3D-pCASL) perfusion imaging. Gait parameters were quantitatively evaluated using a wearable gait analyzer. Multivariate logistic regression analysis was used to determine independent factors associated with GD in patients with CSVD. Partial correlation analysis was used to determine the correlation between gait parameters and CBF in different brain regions. Results:A total of 52 patients with CSVD were enrolled, including 26 males and 26 females, aged 67.00±6.84 years. Thirty-eight cases (73.1%) had mild overall burden of CSVD, and 14 cases (26.9%) had a moderate to severe overall burden of CSVD. There were 17 patients (32.7%) in the GD group and 35 (67.3%) in the non-GD group. Compared with the non-GD group, the body mass index was significantly higher, the CBF of the left occipital lobe and bilateral cerebellum decreased significantly, the step speed, step length, stride length, step frequency, swing phase, peak arm angular velocity, arm swing amplitude, maximum calf anterior/posterior swing angle, peak calf angular velocity, foot swing speed, and peak sagittal plane angular velocity in the torso decreased significantly, while the number of steps, stance phase, step length asymmetry, stride length, and step length variability increased significantly in the GD group (all P<0.05). Multivariate logistic regression analysis showed that left cerebellar CBF was an independent protective factor for GD in patients with CSVD (odds ratio 0.902, 95% confidence interval 0.827-0.982; P=0.019). For every 1 ml/(100 g.min) decreased in left cerebellar CBF, the patients with CSVD had an increased risk of developing GD by approximately 9.8%. Partial correlation analysis showed that left occipital lobe CBF was significantly positively correlated with step speed ( r=0.305, P=0.032), maximum calf back swing angle ( r=0.314, P=0.026), and peak calf angular velocity ( r=0.356, P=0.011). The left cerebellar CBF was significantly positively correlated with step speed ( r=0.295, P=0.037) and significantly negatively correlated with step length variability ( r=-0.335, P=0.017); the right cerebellar CBF was significantly positively correlated with step speed ( r=0.309, P=0.029) and significantly negatively correlated with step length variability ( r=-0.344, P=0.014). Conclusion:GD in patients with CSVD is associated with decreased CBF in the left occipital lobe and bilateral cerebellum, and decreased CBF in the left cerebellum significantly increased the risk of GD in patients with CSVD.

ObjectiveMolecular docking and animal experiments were employed to explore the protective effect and mechanism of Da Chengqitang （DCQD） on intestinal barrier in septic mice. MethodText mining method was used to screen the active ingredients in DCQD. AutoDock Tools and Discovery Studio were used to study the interactions of active components with the core target proteins ［claudin-1， tumor necrosis factor （TNF）-α， interleukin （IL）-6， endogenous antimicrobial peptide mCRAMP， Toll-like receptor 4 （TLR4）， and myeloid differentiation primary response gene 88 （MyD88）］ in sepsis. Fifty C57BL/6 mice were randomized into sham， model， low- and high-dose （4 g∙kg^-1 and 8 g∙kg^-1） DCQD， and ulinastatin groups （n=10）. Before， during， and after the day of modeling surgery， each group was administrated with corresponding drugs. The mice in other groups except the model group were subjected to modeling by cecal ligation and puncture. Enzyme-linked immunosorbent assay （ELISA） was used measure the serum level of D-lactic acid to assess intestinal mucosa permeability. Hematoxylin-eosin staining was employed to observe the histopathological changes in the ileum and assess the intestinal mucosal damage and inflammatory infiltration. Western blotting was employed to determine the expression levels of tight junction proteins claudin-1 and occludin in the ileal tissue， which were indicative of the bowel barrier function. The TNF-α and IL-6 levels were measured by ELISA to assess the intestinal inflammation. The expression of mCRAMP in the ileal tissue was observed by immunohistochemistry. The mRNA levels of mCRAMP， TLR4， and MyD88 in mouse ileal tissue were determined by Real-time polymerase chain reaction， on the basis of which the mechanism of DCQD in protecting the intestinal barrier of septic mice was explored. ResultMolecular docking results showed that most of the 10 active ingredients of DCQD that were screened out by text mining could bind to sepsis targets by van der Waals force， hydrogen bonding， and other conjugated systems. The results of animal experiments showed that compared with the model group， low- or high-dose DCQD lowered the D-lactic acid level in the serum （P<0.01）， alleviated damage to the ileal tissue and mucosal edema， protected the small intestine villus integrity， reduced inflammatory cell infiltration， promoted the expression of claudin-1 （P<0.01）， lowered the IL-6 level （P<0.01）， up-regulated the mRNA and protein levels of mCRAMP （P<0.01）， and down-regulated the mRNA and protein levels of TLR4 and MyD88 （P<0.01） in the ileal tissue. In addition， high-dose DCQD lowered the TNF-α level and promoted the expression of occludin in the ileum tissue （P<0.01）， and low-dose DCQD up-regulated the protein level of occludin in the ileum tissue （P<0.05）. ConclusionDCQD has a protective effect on intestinal barrier in septic mice. It can reduce intestinal inflammation， repair intestinal mucosal damage， improve the tight junction protein level， and reduce intestinal mucosal permeability by up-regulating the mRNA and protein levels of mCRAMP and the down-regulating the expression of genes in the TLR4/MyD88 pathway.

Objective:To investigate the molecular biological mechanism of Bw07 allele and its transferase alteration carried by a proband of ABw07 subtype.Methods:A 2-year-old male child was selected as the research object. The peripheral blood of the proband and his parents was identified for ABO blood type by the test tube method, and the ABO subgroup PCR-SSP detection and ABO gene sequencing were performed on the three individuals to determine their blood type genotypes. Finally, the effect of the p.Arg352Gln mutation on Bw07 transferase was verified by virtual mutation, DUET structure prediction, molecular dynamics analysis, and in vitro cellular experiments.Results:The serological phenotypes of the proband and his mother were ABw and Bw, respectively, while his father was normal A. The ABO subgroup PCR-SSP assay identified the three genotypes as Bw07/A, Bw07/O, and A/A, respectively.Sanger sequencing further verified that the proband and his mother carried the Bw07 gene, and virtual mutation showed that the intermolecular forces were weakened by the R352Q mutation. DUET predicted that this p.Arg352Gln mutation could affect the thermodynamic stability of Bw07 transferase. Molecular dynamics analysis confirmed that the alteration of thermodynamic stability was mainly related to the appearance of large fluctuations in the amino acid backbone atoms in the 125-133, 193-198 and 336-354 regions, and in vitro cellular experiments further verified the weakened antigen synthesis of Bw07 transferase.Conclusion:The formation of the ABw07 phenotype is associated with the mutation of the highly conserved Arg352 to Gln in Bw07 transferase.

Acute Stanford type A aortic dissection has the characteristics of acute onset, severe condition and high mortality. Once making a definite diagnosis, surgical treatment is needed as soon as possible. It is difficult for cardiac surgeons to treat the acute aortic dissection involving the aortic sinus, which is an important risk factor for death. Improving the surgical treatment for the aortic sinus can be a key to improving the prognosis. In this review, we will introduce the modified sandwich technique for acute Stanford type A aortic dissection and the prognosis, and summarize the experiences of different modified sandwich techniques. However, there is still no unified standardized technique in aortic root repair, and there is a lack of large studies with long-term follow-up, so it is necessary to further improve the aortic root repair techniques.

Objective:To explore the molecular basis for an individual with Bel subtype of the ABO blood type due to a novel c. 620T>C variant gene, and assess its impact on the structure of GTB transferase.Methods:An individual who had visited the First Affiliated Hospital of Zhengzhou University on February 11, 2023 was selected as the study subject. ABO phenotyping was initially conducted with serological methods, which was followed by direct sequencing of 7 exons of the ABO gene. Subsequently, single-strand sequencing was carried out by using allele-specific primers, and the variant in the B transferase was homology-modeled using the Modeller software. The impact of the variant on the transferase′s spatial structure was analyzed with the PyMOL software. Results:The serological phenotype of the patient was identified as the Bel subtype. Direct sequencing revealed that she has harbored a novel c. 620T>C variant, resulting in a p. Leu207Pro substitution in the polypeptide chain. Combined with single-strand sequencing, her genotype was ultimately determined as ABO* BELnew/ ABO* O.01.02. Three-dimensional protein structure modeling showed that, compared with the wild type, the distance of one hydrogen bond between Proline and Glycine at position 272 has increased, along with disappearance of another hydrogen bond. Conclusion:The novel c. 620T>C (p.Leu207Pro) variant of B allele may affect the structural stability of the glycosyltransferase. The weakened enzyme activity in turn may lead to reduced B antigen expression, manifesting as the Bel subtype by serological analysis.

Objective:To study the molecular basis for a proband with A subtype B of the ABO blood group and explore the influence of amino acid variant on the activity of glycosyltransferase (GT).Methods:A proband who had presented at the First Affiliated Hospital of Zhengzhou University on July 2, 2020 was selected as the study subject. Serological identification of the ABO blood groups of the proband and her family members were performed by gel card and test tube methods. The ABO gene of the proband was identified by PCR-sequence specific primers (PCR-SSP) and DNA sequencing. A 3D molecular homologous model was constructed to predict the impact of the variant on the stability of α-(1→3)-D-N-acetylgalactosamine transferase (GTA). Results:The red blood cells of the proband, her mother and two younger brothers showed weak agglutination with anti-A and strong agglutination with anti-B. The sera showed 1~2+ agglutination with Ac and no agglutination with Bc. Based on the serological characteristics, the proband was identified as AwB subtype. Pedigree analysis suggested that the variant was inherited from her mother. The blood group of the proband was identified as A223B type by PCR-SSP. ABO gene sequencing analysis showed that the proband has harbored heterozygous variants of c. 297A>G, c. 467C>T, c. 526C>G, c. 657C>T, c. 703G>A, c. 796C>A, c. 803G>C, c. 930G>A and c. 1055insA. Based on the results of clone sequencing, it was speculated that the genotype was ABO* A223/ ABO* B.01. There were c. 467C>T and c. 1055insA variants compared with ABO* A1.01, and c. 1055insA variant compared with ABO* A1.02. Homologous modeling showed that the C-terminal of A223 GT was significantly prolonged, and the local amino acids and hydrogen bond network have changed. Conclusion:Above results revealed the molecular genetics mechanism of A223B subtype. The c. 1055insA variant carried by the proband may affect the enzymatic activity of GTA and ultimately lead to weakening of A antigen.

Objective:To predict the status of microvascular invasion (MVI) in intrahepatic cholangiocarcinoma (ICC) patients preoperatively based on the radiomics analysis of contrast-enhanced CT to provide imaging evidence for early identification of patients at high risk of recurrence.Methods:Clinical data of 40 ICC patients who underwent radical hepatectomy at Nanjing Drum Tower Hospital from January 2021 to May 2024 were retrospectively collected. Patients were divided into the MVI group ( n=8) and the non-MVI group ( n=32) according to the MVI status of the postoperative pathology report. Whether there were differences in each pathological index between the groups and the efficacy of radiomics analysis of contrast-enhanced CT for the preoperative prediction of MVI were analyzed. The regions of interest (ROI) were outlined on the arterial and venous phase images using the 3D Slicer software. Then, radiomics features were extracted from each ROI based on Python. Finally, the LASSO regression and glm function were used to screen radiomics features and establish a prediction model based on the R language. The established predictive model′s diagnostic efficacy, calibration, and net clinical benefit were evaluated using the receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA), respectively. Normally distributed measurement data were expressed as mean±standard deviation ( ± s) and compared using the t-test. Count data were expressed as frequency and compared using the chi-square test. Results:Patients in the MVI group had more poorly differentiated tumors and a significantly higher proportion of lymph node metastases ( P<0.05). The established radiomics prediction model included six features, 1 first-order statistical feature and 5 gray texture features. The area under the ROC curve was 0.87, the sensitivity was 75.0%, and the specificity was 90.6%. The calibration curve showed good agreement between the predicted MVI and actual MVI status, and the decision curve demonstrated that the model could provide a large net clinical benefit. Conclusion:Radiomics analysis of contrast-enhanced CT can identify the MVI status of ICC patients preoperatively and aid in clinical decision-making, providing vital evidence for individualized and precise treatment of ICC.

Background::Breast cancer (BC) risk-stratification tools for Asian women that are highly accurate and can provide improved interpretation ability are lacking. We aimed to develop risk-stratification models to predict long- and short-term BC risk among Chinese women and to simultaneously rank potential non-experimental risk factors.Methods::The Breast Cancer Cohort Study in Chinese Women, a large ongoing prospective dynamic cohort study, includes 122,058 women aged 25-70 years old from the eastern part of China. We developed multiple machine-learning risk prediction models using parametric models (penalized logistic regression, bootstrap, and ensemble learning), which were the short-term ensemble penalized logistic regression (EPLR) risk prediction model and the ensemble penalized long-term (EPLT) risk prediction model to estimate BC risk. The models were assessed based on calibration and discrimination, and following this assessment, they were externally validated in new study participants from 2017 to 2020.Results::The AUC values of the short-term EPLR risk prediction model were 0.800 for the internal validation and 0.751 for the external validation set. For the long-term EPLT risk prediction model, the area under the receiver operating characteristic curve was 0.692 and 0.760 in internal and external validations, respectively. The net reclassification improvement index of the EPLT relative to the Gail and the Han Chinese Breast Cancer Prediction Model (HCBCP) models for external validation was 0.193 and 0.233, respectively, indicating that the EPLT model has higher classification accuracy.Conclusions::We developed the EPLR and EPLT models to screen populations with a high risk of developing BC. These can serve as useful tools to aid in risk-stratified screening and BC prevention.