OBJECTIVE To prepare an intelligent responsive liposome-hydrogel nanopreparation co-loaded with gambogic acid （GA）， and characterize its antitumor activity in vitro . METHODS GA-ICG-Lip-gel was prepared by ethanol injection and cold dissolution， incorporating GA and the photosensitizer indocyanine green （ICG）. The appearance and microscopic morphology of GA-ICG-Lip-gel were observed， its encapsulation efficiency and drug loading capacity were measured， and its photothermal conversion performance， photothermal stability， and infrared imaging properties were investigated， along with the determination of its in vitro release profile. Human breast cancer MCF-7 cells were used as objects to investigate the effects of GA-ICG-Lip-gel （or with near-infrared light irradiation） on cell viability， migration ability， and the cellular uptake capacity of GA-ICG-Lip-gel. RESULTS GA-ICG-Lip-gel existed in a solution state at room temperature and transformed into a gel state at 37 ℃. Its microstructure was dense with small pores， and its encapsulation efficiency and drug loading were （96.07±0.86） % and （6.28±1.16） %， respectively. After exposure to near-infrared light， the temperature of GA-ICG-Lip-gel rose above 42 ℃， with no significant attenuation observed in the heating curve. The heating efficiency was dependent on both the irradiation time and drug concentration. Compared to media without gelatinase， the cumulative release rate of GA-ICG-Lip-gel increased in media containing gelatinase. In vitro studies showed that GA-ICG-Lip-gel could be efficiently taken up by MCF-7 cells； GA-ICG-Lip-gel significantly inhibited the viability and migration ability of MCF-7 cells （ P ＜0.05）， and this inhibitory effect was further enhanced under near-infrared light irradiation. CONCLUSIONS This study successfully prepares GA-ICG-Lip-gel， which exhibits favorable photothermal conversion properties and temperature/enzyme dual-responsive drug release characteristics， and demonstrates significant inhibitory effects on the proliferation and migration of breast cancer cells.

Objective: To investigate the microbial mechanisms of Banxia Xiexin Decoction (半夏泻心汤, BXXXD) in the treatment of esophageal precancerous lesions. Methods: A total of 30 specific pathogen-free (SPF) grade female C57BL/6J mice were randomly assigned to a control group (n = 6) and a 4-nitroquinoline 1-oxide (4-NQO)-exposed group (n = 24). Esophageal precancerous lesions were induced by providing the 4-NQO-exposed group with 4-NQO in drinking water (100 μg/mL) for 17 consecutive weeks, whereas control group received sterile drinking water. After model establishment, the mice in 4-NQO-exposed group were further randomized into model group and three BXXXD-treated groups: low-dose (BXXXD-L, 3.7 g/kg), medium-dose (BXXXD-M, 7.4 g/kg), and high-dose (BXXXD-H, 14.8 g/kg) groups (n = 6 per group). During the subsequent intervention period, mice in control and model groups were gavaged with sterile water, while mice in BXXXD groups were gavaged once daily with the corresponding dose of BXXXD aqueous extract for 4 weeks. Histopathological changes in esophageal tissues were observed by hematoxylin and eosin (HE) staining. The fecal and esophageal microbiota were profiled via 16S rDNA high-throughput sequencing to evaluate bacterial diversity, community structure, and co-occurrence networks. BXXXD chemical fingerprints were analyzed using ultra-high-performance liquid chromatography coupled with quadrupole QExactive Orbitrap mass spectrometry (UHPLC-QE-MS). Serum short-chain fatty acids (SCFA) level was quantified by targeted metabolomics using gas chromatography-mass spectrometry (GC-MS). Transcriptomic analysis of esophageal tissues was performed to assess gene expression profiles. Results: Compared with model group, BXXXD-M group exhibited reduced mucosal hyperplasia and more orderly epithelial cell arrangement, with superior therapeutic effects in comparison with both BXXXD-L and BXXXD-H groups (P < 0.01). Microbiota analysis revealed that BXXXD increased the abundance of beneficial Enterococcus and reduced pathogenic Escherichia-Shigella in the esophagus. In the gut, BXXXD elevated the relative abundance of beneficial taxa, including Lactobacillus, Dubosiella, Bacteroides, and Faecalibacterium. Targeted metabolomics showed that BXXXD significantly reduced total serum SCFA level (P < 0.01). Transcriptomic analysis indicated that BXXXD downregulated the expression of genes associated with the progression, migration, and invasion of esophageal cancer, which were identified as kallikrein-related peptidase 6 (Klk6), defensin beta 4 (Defb4), family with sequence similarity 3 member B (Fam3b), carboxypeptidase A4 (Cpa4), serum amyloid A1 (Saa1), and chitinase-like 1 (Chil1) (P < 0.05). Conclusion BXXXD may reduce the expression levels of esophageal cancer-related genes and improve esophageal precancerous lesions through modulation of the gut microbiota and metabolites.

OBJECTIVE: To explore the application value of artificial intelligence (AI)-assisted chromosomal karyotype analysis in the diagnosis of prenatal chromosomal mosaicism. METHODS: A retrospective analysis was conducted on 172 pregnant women who underwent amniocentesis at the Department of Medical Genetics and Prenatal Diagnosis, the Third Affiliated Hospital of Zhengzhou University between January 2019 and December 2024. All cases whose fetuses were diagnosed with chromosomal mosaicism via karyotype analysis and stratified into two groups based on the analytical software employed: the conventional analysis group (n = 70), which utilized Leica analysis software for karyotype image recognition and cell counting; and the AI-assisted analysis group (n = 102), which utilized AI-assisted software for the same procedures. The clinical performance of AI-assisted karyotype analysis in diagnosing chromosomal mosaicism was comprehensively evaluated by comparing the types of mosaic karyotypes, distribution of mosaic ratios, and verification outcomes of different detection modalities between the two groups. This study was approved by the Medical Ethics Committee of the Third Affiliated Hospital of Zhengzhou University (Ethics No.: 2024-406-01). RESULTS: No statistically significant difference was observed in baseline characteristics (maternal age, gestational week, and indications for prenatal diagnosis) between the two groups. Regarding the detection efficacy for numerical and structural mosaicisms, no significant difference was found in the detection of numerical mosaicism. However, the conventional analysis group exhibited a significantly higher detection rate of autosomal structural mosaicism compared to the AI-assisted group (11.43% vs. 0.98%, P < 0.05). Numerical mosaicism cases were further verified using copy number variation sequencing (CNV-seq) and/or fluorescence in situ hybridization (FISH). The AI-assisted group demonstrated a significantly lower inconsistency rate (5.56% vs. 20.41%, P < 0.05) compared to the conventional group. For low-proportion (< 10%) chromosomal mosaicism, the AI-assisted group had a significantly lower detection rate (13.25% vs. 29.69%, P < 0.05). Subsequent validation of low-proportion mosaicism by CNV-seq and/or FISH showed a higher consistency rate in the AI-assisted group (81.82% vs. 54.55%), though the difference did not reach statistical significance (P = 0.360). CONCLUSION For the karyotyping analysis of prenatal chromosomal mosaicism, AI-assisted karyotype analysis shows high accuracy and consistency in identifying numerical chromosomal mosaicism, particularly in reducing the detection of low-proportion (< 10%) mosaicism while improving verification accuracy. AI-assisted analysis can significantly improve the detection accuracy of numerical mosaicism and mitigate the risk of misclassification for low-proportion (< 10%) mosaicism, thereby providing more precise clinical evidence for the prenatal diagnosis of chromosomal mosaicisms.
Humans ; Female ; Mosaicism ; Pregnancy ; Karyotyping/methods* ; Artificial Intelligence ; Prenatal Diagnosis/methods* ; Adult ; Retrospective Studies ; Chromosome Disorders/genetics* ; Amniocentesis

Digestive system malignant tumors （DT） are one of the leading causes of death globally and carry a heavy economic burden. Gut microbiota plays a critical role in maintaining host health， including providing nutrition， defending against pathogens， and promoting immune development. In recent years， more and more studies have shown that dysbiosis of gut microbiota is closely associated with DT such as gastric cancer， liver cancer， and colon cancer. Therefore， targeted regulation of gut microbiota plays a potential role in inhibiting the growth and metastasis of DT， while its specific regulatory mechanism remains unclear. As the studies about the anti-tumor effects of traditional Chinese medicine （TCM）， especially the basic and clinical studies on the regulation of gut microbiota by TCM in tumor treatment， have been growing， the therapeutic effects of TCM on DT have attracted much attention. This paper provides a systematic review of the relationship between gut microbiota and DT， as well as the related studies on the modulation of gut microbiota by TCM against DT， with the aim of providing a foundation and direction for future basic and clinical studies on DT. The literature review shows that gut microbiota influence the occurrence and development of DT through multiple pathways. These pathways include triggering chronic inflammation， producing oncogenic metabolites， inducing genomic instability， regulating the immune system， and altering the tumor microenvironment. TCM can exert anti-DT effects by regulating the composition of gut microbiota， modulating gut microbiota metabolites， repairing intestinal barrier function， and influencing immune functions. Therefore， understanding the relationship between gut microbiota and DT and the regulatory mechanisms of TCM may provide new strategies for future prevention and treatment of DT.

Objective: To evaluate the diagnostic performance of magnetic resonance spectroscopy (MRS) in discriminating fumarate hydratase-deficient (FH-d) uterine leiomyomas (ULs) from FH-preserved ULs. Materials and Methods: This study consisted of three stages, with independent cohorts recruited for each stage: 1) sample-size estimation was retrospectively performed on UL specimens (diameter ≥3 cm; age, 20–40 years) from our database with immunohistochemistry (IHC) for 2-succinocysteine (2-SC) as the reference, without genetic testing, 2) MRS sequence optimization in confirmed FH germline mutation participants with ultrasound-detected ULs (diameter ≥3 cm), without IHC analysis, and 3) prospective diagnostic test accuracy was evaluated in consecutive participants with ultrasound-detected ULs (diameter ≥3 cm;age, 20–40 years), using IHC for 2-SC for determining the FH status and subsequent genetic testing in those with positive 2-SC results to identify whether FH mutations were germline or somatic in origin. The choline and fumarate peaks in MRS were classified as positive, negative, or technical failure (TF). TFs were analyzed separately and excluded from the primary diagnostic accuracy calculations. T1-, T2-, and diffusion-weighted images were interpreted as hyperintense or hypointense. The enhancement rate and apparent diffusion coefficient were also acquired. Diagnostic performance was compared between MRS and various magnetic resonance imaging (MRI) features. Results: The optimal MRS parameters for the fumarate peak were echo time (TE) = 140 ms and an average of 256. Among the 360 prospective participants, 37 were confirmed to have FH-dULs. MRS showed positive fumarate peaks in 35 of 37 FH-dULs.After excluding six TFs, the positive fumarate peak on MRS showed 94.6% (35/37) sensitivity, 99.7% (316/317) specificity, and 99.2% (351/354) accuracy, all of which were significantly superior to those of other MRI features (P ≤ 0.002). Conclusion A positive fumarate peak on MRS may be a useful imaging biomarker for diagnosing FH-dULs.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective To analyze the monitoring data of cardio-cerebrovascular diseases prevention and control system in Yichang in 2022, and to provide data support and experience for the precise prevention and treatment of cardio-cerebrovascular diseases. Methods Acute cardiovascular and cerebrovascular event data were collected from the Yichang Cardio-cerebrovascular Events Monitoring System from January 1, 2022 to December 31, 2022. Descriptive analysis was conducted for the data collected. Statistical analysis was performed using SPSS 20.0 software, and a chi-square test was used to analyze the count data. Results A total of 37,217 cases of cardio-cerebrovascular events were monitored in Yichang in 2022. The crude incidence and the standardized incidence were 983.84/100,000 and 541.55/100,000, respectively. The incidence in males was higher than females (554.93/100,000 vs 428.91/100,000，χ² =464.52，P＜0.05). The top three diseases were cerebral infarction, acute myocardial infarction, and cerebral hemorrhage. The incidence of events increased with age, and 79.80% of the cases were over 60 years old. The main onset time was from May to August. Conclusion The use of the cardio-cerebrovascular events monitoring system in Yichang and the implementation of ^“mandatory reporting card^” monitoring can timely obtain the epidemic characteristics of the diseases, provide support for the precise formulation of prevention and control strategies and measures, reduce underreporting rates, and improve the monitoring system, which is worthy of reference and promotion.

L-citrulline is a nonprotein amino acid that plays an important role in human health and has great market demand. Although microbial cell factories have been widely used for biosynthesis, there are still challenges such as genetic instability and low efficiency in the biosynthesis of L-citrulline. In this study, an efficient, plasmid-free, non-inducible L-citrulline-producing strain of Escherichia coli BL21(DE3) was engineered by combined strategies. Firstly, a chassis strain capable of synthesizing L-citrulline was constructed by block of L-citrulline degradation and removal of feedback inhibition, with the L-citrulline titer of 0.43 g/L. Secondly, a push-pull-restrain strategy was employed to enhance the L-citrulline biosynthesis, which realized the L-citrulline titer of 6.0 g/L. Thirdly, the NADPH synthesis and L-citrulline transport were strengthened to promote the synthesis efficiency, which achieved the L-citrulline titer of 11.6 g/L. Finally, fed-batch fermentation was performed with the engineered strain in a 3 L fermenter, in which the L-citrulline titer reached 44.9 g/L. This study lays the foundation for the industrial production of L-citrulline and provides insights for the modification of other amino acid metabolic networks.
Citrulline/biosynthesis* ; Escherichia coli/genetics* ; Metabolic Engineering/methods* ; Fermentation ; NADP/biosynthesis*

Listeria brainstem encephalitis with myelitis is extremely rare in clinical practice.Since the clinical manifestations are non-specific,MRI is helpful for diagnosis.Positive cerebrospinal fluid culture is considered the gold standard for diagnosis.This article reports a case of an immunocompetent individual with listeria brainstem encephalitis with myelitis,aiming to enhance the awareness of this condition.
Humans ; Brain Stem/pathology* ; Diagnostic Errors ; Encephalitis/complications* ; Encephalomyelitis, Acute Disseminated/diagnosis* ; Listeriosis/complications* ; Myelitis/complications*

Objective: To elucidate the potential mechanisms by which Chinese herbal medicine (CHM) regulates gut microbiota (GM) to influence the development of primary open-angle glaucoma (POAG). Methods: Data mining, network pharmacology, and Mendelian randomization (MR) analyses (two-sample design) were conducted in integration to systematically explore the CHM-GM-POAG axis. Literature-based data mining method was applied to identify frequently used herbs and herb pairs for POAG, and the properties and meridian tropism of the herbs were analyzed as well. Target prediction and pathway enrichment analyses were performed to identify shared molecular pathways among CHM components, GM, and POAG. MR analysis was performed to assess the genetically predicted causal associations between specific microbial taxa and POAG risk. Results: Our data mining work indicated that commonly used CHMs were mainly bitter and sweet in flavors and cold in property, with meridian tropism toward the liver, lung, and kidney. The predominant therapeutic effects of the CHMs included soothing the liver and regulating Qi, promoting blood circulation, and reducing fluid retention. Representative herb pairs were Shudihuang (Rehmanniae Radix Praeparata)-Gouqi (Lycii Fructus) with Zexie (Alismatis Rhizoma), Gouqi (Lycii Fructus)-Fuling (Poria) with Shudihuang (Rehmanniae Radix), and Juhua (Chrysanthemi Flos)-Gouqi (Lycii Fructus) with Zexie (Alismatis Rhizoma). Network pharmacology revealed overlapping targets involving antioxidative, anti-inflammatory, and metabolic regulation pathways. MR analysis demonstrated that higher abundances of Ruminiclostridium 6 [odds ratio (OR) = 0.73, 95% confidence interval (CI): 0.58 – 0.92, P = 0.007], Ruminococcaceae UCG-002 (OR = 0.77, 95% CI: 0.63 – 0.96, P = 0.018), Ruminococcus torques group (OR = 0.71, 95% CI: 0.57 – 0.90, P = 0.004), and Victivallis (OR = 0.82, 95% CI: 0.70 – 0.96, P = 0.016) were causally associated with reduced POAG risk, whereas Actinomyces (OR = 1.34, 95% CI: 1.06 – 1.68, P = 0.013) and Blautia (OR = 1.39, 95% CI: 1.01 – 1.90, P = 0.042) showed positive associations. Conclusion This study revealed potential causal links between GM and POAG and provided integrative evidence that CHM may modulate the microbiota to exert neuroprotective effects. These findings offer new integrative insights into the gut-eye axis and a theoretical basis for developing microbiota-targeted CHM strategies in glaucoma management.