ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

Objective To evaluate the quality of hypoglycemia fear assessment tools for adults,so as to provide references for the selection of high-quality research tools.Methods PubMed,Embase,Web of Science,CNKI,VIP,Wanfang,CBM were retrieved to collect the literature on the measurement properties of hypoglycemic fear.There were 2 researchers who screened the literature and extracted data,independently.Based on the consensus-based standards for the selection of health measurement instruments(COSMIN)guideline,the methodological and measure-ment properties quality of the included assessment tools were evaluated by the COSMIN risk of bias checklist and quality criteria.Results A total of 17 studies involving 6 hypoglycemia fear assessment tools for adults were included,none of which reported cross-cultural validity,measurement error,and responsiveness.All assessment tools were recommended by grade B.Conclusion The 15-item Fear of Hypoglycemia Scale(FH-15)has the most comprehensive measurement properties in its evaluation,and can be provisionally recommended for use,but it needs further testing.

The MADS-box gene family is a very important transcriptional regulator gene, which plays a role in the whole growth and development process of plants. The APETALA1 (AP1) gene is considered to play an important regulatory role in the transformation of plant flowering, but also to control the characteristic development of floral organs. Lonicera macranthoides is used as medicine with dry buds and early flowers. Therefore, studying the potential mechanism of AP1 gene in regulating flower organ development can provide a basis for improving its medicinal value by molecular means. To explore the potential mechanism of the AP1 gene in the regulation of floral organ development in L. macranthoides, the full-length cDNA of the AP1 was cloned by reverse transcription PCR (RT-PCR) and named LmMADS4. The results show that the CDS of the LmMADS4 gene is 729 bp and encodes 242 amino acids, and the LmMADS4 protein contains no signal peptide and no transmembrane structure, which is an unstable hydrophilic protein. Through homologous sequence alignment and phylogenetic analysis, LmMADS4 and L. japonica MADS27 protein cluster into one class and are closely related. Finally, the expression pattern and protein interaction pattern of LmMADS4 were analyzed by real-time reverse transcription-PCR (qRT-PCR) and yeast two-hybrid technology. The qRT-PCR showed that LmMADS4 gene was differentially expressed in the stems, leaves and flower bud at different developmental stages, including bud type variety Longhua and common variety Baiyun; and LmMADS4 gene was highly expressed in the flower buds, and with the development of flower buds, LmMADS4 gene was continuously up-regulated in the flower bud variety Longhua, however, the expression level of LmMADS4 in the Baiyun terminal flower bud was lower than that in the late flower bud, but the difference was not significant. The yeast two-hybrid results showed that the bait vector pGBKT7-LmMADS4 was not toxic to yeast strains and had no self-activating activity. LmMADS4 protein interacted with LmSVP1, LmSVP3 and LmSOC1s proteins. This study can provide a theoretical basis for exploring the mechanism of long flower bud stage and corolla non-unfolding at the molecular level and variety improvement of L. macranthoides.

MADS-box protein family are important transcriptional regulatory factors in plant growth and development. The AGAMOUS 12 (AGL12) subfamily is believed to play an important regulatory role in the process of plant flowering transition. To explore the potential mechanism of AGL12 subfamily involved in regulating the flower development of Lonicera macranthoides, quantitative real-time polymerase chain reaction (qRT-PCR), prokaryotic expression and yeast two-hybrid techniques were used to analyze the expression pattern, protein expression, and protein-protein interaction pattern of LmAGL12 based on transcriptome data. The results showed that the LmAGL12 gene contains a 603 bp open reading frame (ORF), encoding 200 amino acids, and the encoded protein was stable and hydrophilic without a transmembrane region and signal peptide. Through homologous sequence alignment and phylogenetic analysis, it was confirmed that LmAGL12 protein belongs to the MADS-box protein family and is closely related to the AGL12 protein of Heracleum sosnowskyi and Daucus carota subsp. sativus. The LmAGL12 gene was cloned into prokaryotic expression vector pET-28a and the recombinant constructs were transformed into Escherichia coli BL21 (DE3), which inducing the target protein successfully. The yeast two-hybrid results showed that LmAGL12 protein interacts with LmSVP protein, LmSOC1 protein and LmAP1 protein, respectively. The qRT-PCR results showed that LmAGL12 gene were differentially expressed in different development stages of flower bud, stem, and leaves of 'Longhua' and 'Baiyun' in L. macranthoides. The LmAGL12 gene showed the highest expression level in the middle stage of the 'Longhua' floral bud; For the 'Baiyun' variety, the relative expression level of LmAGL12 gene is the highest in the stem. This study cloned the LmAGL12 gene in L. macranthoides and analyzed it expression for the first time, enriching the research on flower organ development and providing a research basis for further exploring the molecular mechanisms of long bud stage and non-unfolded corolla in L. macranthoides, as well as for variety improvement.

Aim To study the effects of different peri-ods of hypoxia on gastrointestinal stress in mice by sim-ulating hypoxia environment at high altitude in a low-pressure oxygen chamber.Methods The normal con-trol group and the model group for 1,3 and 5 days were set up according to different periods of hypobaric hypoxia.The intestinal propulsion rate,visceral sensi-tivity and pathological damage of gastrointestinal tract were detected after hypobaric hypoxia treatment.The contents of IL-1 β,IL-6 and TNF-α in gastrointestinal tract and the contents of gastrointestinal hormone,di-amine oxidase and D-lactic acid were detected by en-zyme-linked immunosorbent assay(ELISA).The ex-pressions of tight-junction protein and tight junction in-jury pathway protein in intestinal tissues were detected by Western blot.Results Compared with the control group,the intestinal propulsion rate of the model group was accelerated,and the intestinal sensitivity in-creased.The expression of intestinal mucosal injury markers increased.Gastrointestinal motility inhibiting hormone decreased and gastrointestinal motility promo-ting hormone increased.The expression of tight junc-tion proteins ZO-1,claudin-1,occludin and VASP of tight junction injury-related pathway decreased,while the expression of NF-κB,HIF-1α and VEGF in tight junction injury-related pathway increased.The expres-sions of IL-1 β,IL-6 and TNF-α in gastrointestinal tis-sue increased.The content of pepsin in gastric tissue increased.The injury of gastrointestinal tissue was less in the 1-day group,and more serious in the 3-day and 5-day groups.Conclusions Stress injury occurs in the gastrointestinal tract of mice at different time points in hypoxia and hypoxia environment,and the gastroin-testinal function injury is more serious after three days of exposure,which may be related to the activation of NF-κB/HIF-1α/VEGF/VASP pathway.

AIM:To investigate the effects of Panax notoginseng compound formula(PN)on endometrial fibro-sis by regulating inflammatory reaction and intestinal flora(IF)in a rat model of intrauterine adhesion(IUA).METHODS:The rat IUA model was established by following the mechanical injury method.A total of 50 rats were randomly divided in-to sham group,model group,low-dose(210 mg/kg)PN group,medium-dose(420 mg/kg)PN group and high-dose(840 mg/kg)PN group.After 8 weeks of intragastric administration,the uterus was collected to observe morphological changes with naked eye.The degree of uterine tissue damage and fibrosis was evaluated through hematoxylin-eosin(HE)and Mas-son staining.The collagen type Ⅰ(Col Ⅰ)was detected by immunohistochemistry.The interleukin-6(IL-6)and IL-10 pro-tein expression was detected by Western blot.The levels of IL-6,IL-1β,tumor necrosis factor-α(TNF-α)and vascular endothelial growth factor B(VEGFB)were detected by enzyme-linked immunosorbent assay(ELISA).The IF diversity and population structure were observed by 16S amplicon.RESULTS:Compared with the sham group,the uteruses of rats in the model group showed:reduced elasticity,accompanied by congestion and edema;decreased number of glands and blood vessels,and thinned endometrium(P<0.01);increased collagen fibers and Col Ⅰ protein expression(P<0.01);sig-nificantly increased IL-1β,IL-6,TNF-α and VEGFB levels in the uterine tissue(P<0.01);decreased IL-10 level(P<0.01);and reduced IF diversity(P<0.05).Compared with the model group,the drug intervention groups exhibited:re-covered elasticity of the uterus and relieved congestion and edema;increased number of endometrial glands and blood ves-sels(P<0.05);decreased collagen fibers and Col Ⅰ protein expression(P<0.01);reduced IL-1β,IL-6,and TNF-α lev-els to varying degrees in the uterine tissue(P<0.05);elevated IL-10 level(P<0.01);and improved IF diversity(P<0.05).CONCLUSION:The PN is able to significantly improve the endometrial tissue fibrosis in IUA rats.The under-lying mechanisms may be related to the inhibition of IL-6,IL-1β and TNF-α expression,up-regulation of IL-10,and im-provement of IF diversity.

Objective To investigate the incidence rate,clinical characteristics,and prognosis of neonatal stroke in Shenzhen,China.Methods Led by Shenzhen Children's Hospital,the Shenzhen Neonatal Data Collaboration Network organized 21 institutions to collect 36 cases of neonatal stroke from January 2020 to December 2022.The incidence,clinical characteristics,treatment,and prognosis of neonatal stroke in Shenzhen were analyzed.Results The incidence rate of neonatal stroke in 21 hospitals from 2020 to 2022 was 1/15 137,1/6 060,and 1/7 704,respectively.Ischemic stroke accounted for 75％(27/36);boys accounted for 64％(23/36).Among the 36 neonates,31(86％)had disease onset within 3 days after birth,and 19(53％)had convulsion as the initial presentation.Cerebral MRI showed that 22 neonates(61％)had left cerebral infarction and 13(36％)had basal ganglia infarction.Magnetic resonance angiography was performed for 12 neonates,among whom 9(75％)had involvement of the middle cerebral artery.Electroencephalography was performed for 29 neonates,with sharp waves in 21 neonates(72％)and seizures in 10 neonates(34％).Symptomatic/supportive treatment varied across different hospitals.Neonatal Behavioral Neurological Assessment was performed for 12 neonates(33％,12/36),with a mean score of(32±4)points.The prognosis of 27 neonates was followed up to around 12 months of age,with 44％(12/27)of the neonates having a good prognosis.Conclusions Ischemic stroke is the main type of neonatal stroke,often with convulsions as the initial presentation,involvement of the middle cerebral artery,sharp waves on electroencephalography,and a relatively low neurodevelopment score.Symptomatic/supportive treatment is the main treatment method,and some neonates tend to have a poor prognosis.

Fungal mycetoma is a chronic granulomatous lesion that persists in the skin and subcutaneous tissue for a long time.It is commonly caused by fungal infection in field workers who are pricked to the subcutaneous tissue by thorns from soil,plants,or bramble.Fungal mycetoma cases is rare in China.This article reports two cases of fun-gal mycetoma caused by Madurella grisea and Aspergillus flavus infection,which improve after surgical debride-ment and antifungal drug treatment.This study aims to improve clinicians'understanding on fungal mycetoma and achieve early diagnosis and treatment.

Objective:To further improve the understanding of paroxysmal nocturnal hemoglobinuria (PNH), we retrospectively analyzed and summarized the clinical characteristics, treatment status, and survival status of patients with PNH in Zhejiang Province.Methods:This study included 289 patients with PNH who visited 20 hospitals in Zhejiang Province. Their clinical characteristics, comorbidity, laboratory test results, and medications were analyzed and summarized.Results:Among the 289 patients with PNH, 148 males and 141 females, with a median onset age of 45 (16-87) years and a peak onset age of 20-49 years (57.8% ). The median lactic dehydrogenase (LDH) level was 1 142 (604-1 925) U/L. Classified by type, 70.9% (166/234) were classical, 24.4% (57/234) were PNH/bone marrow failure (BMF), and 4.7% (11/234) were subclinical. The main clinical manifestations included fatigue or weakness (80.8%, 235/289), dizziness (73.4%, 212/289), darkened urine color (66.2%, 179/272), and jaundice (46.2%, 126/270). Common comorbidities were hemoglobinuria (58.7% ), renal dysfunction (17.6% ), and thrombosis (15.0% ). Moreover, 82.3% of the patients received glucocorticoid therapy, 70.9% required blood transfusion, 30.7% used immunosuppressive agents, 13.8% received anticoagulant therapy, and 6.3% received allogeneic hematopoietic stem cell transplantation. The 10-year overall survival (OS) rate was 84.4% (95% CI 78.0% -91.3% ) . Conclusion:Patients with PNH are more common in young and middle-aged people, with a similar incidence rate between men and women. Common clinical manifestations include fatigue, hemoglobinuria, jaundice, renal dysfunction, and recurrent thrombosis. The 10-year OS of this group is similar to reports from other centers in China.

Atopic dermatitis(AD)is the most common chronic inflammatory skin disease.For decades,the treatment of AD has been limited to local corticosteroid or calcineurin inhibitors,and light therapy or systemic immunosuppressive drug for moderate to severe AD patients.With the in-depth study of the pathogenesis of AD,many local and systemic targeted therapy drugs are being developed,which may change the treatment options of AD.This review combination with the latest clinical trials give a summarize on the type,mechanism,efficacy and safety of biological targeted therapy for AD,to provide a theoretical basis for the individualized treatment of AD.