Objective Investigated the clinical features and risk factors of pulmonary metastasis in children with papillary thyroid carcinoma aiming to provide guide for clinical work.Methods Collected the informations of 40 patients with under the age of 14,who underwent surgery in the Thyroid surgery of the First Affiliated Hospital of ZhengZhou University and confirmed for the papillary thyroid carcinoma by the postoperative pathology.At the same time,excluded studies with history of head and neck malignancy or lyphoma or secondary thyroid cancer,papillary thyroid carcinoma with hyperthyroidism and cases of imcomplete informations.The age of the 40 patients was 3 to 14 years old,12 were boy and 28 were girl.The largest tumor diameter was 7.5 cm,and the smallest was 0.3 cm.Tumor lesions were solitary in 22 cases and multiple lesions were in 18 cases.There were 33 cases of cervical lymph node metastases and 7 cases of no cervical lymph nodes.There were 10 cases of pulmonary metastasis and 30 cases of non-pulmonary metastasis.This research adopted chi-square test and Logistic regression statistical analysis of related risk factors and clinical features,including patients' age,gender,tumor diameter,number of lesions,surgical methods,neck lymph node metastasis,and pulmonary metastasis.Results The positive rate of plumonary metastsis in children with papillary thyroid carcinoma was 25％ (10/40),statistical analysis found that the positive rate of children with lung metastasis (x2 =8.620,P =0.003),tumor diameter over 2 cm (x2 =5.763,P =5.763) and the difference was statistically significant higher.Logistic regression analysis showed that the number of risk factors was multifocal papillary thyroid carcinoma in children lung metastasis (OR =13.058,P =0.028).Conclusions Higher lung metastasis is a clinical feature of thyroid papillary carcinoma in children.The risk of lung metastasis was significantly higher for children with thyroid papillary carcinoma who had multiple lessions.

Objective To propose a frequency-domain pulse wave prediction model based on fusion attention mechanism,improving the low classification accuracy and poor generalization performance of hypertension time-domain pulse wave classification based on artificial intelligence technology.Methods Firstly,the time-domain pulse wave was transformed into frequency-domain Mel-scale frequency cepstral coefficient features to enhance its discriminability.Then,temporal convolutional network and Transformer structures were employed to extract the deep features of pulse waves,and self-attention mechanism and selective kernel attention were combined for decision fusion to extract relevant features.Floodings regularization method was used to indirectly control the training loss and prevent overfitting.A 5-fold cross-verification experiment was conducted based on 527 clinical pulse diagnosis data provided by Longhua Hospital,Shanghai University of Traditional Chinese Medicine and Shanghai Traditional Chinese Medicine-Integrated Hospital.Additionally,the extreme gradient boosting algorithm was employed to calculate the contribution rate ranking of frequency-domain pulse wave features,and the key factors affecting the classification accuracy of the model were analyzed to provide reference for the clinical auxiliary diagnosis of traditional Chinese medicine.Results The evaluation metrics accuracy,F1 score,precision,recall rate and area under curve value of the model proposed in this study were 0.939 6,0.924 9,0.940 9,0.929 5,and 0.993 4,respectively.The static characteristics of the pulse wave,the contribution rate of the first-order difference and the second-order difference coefficients were relatively balanced,indicating that the degree of hypertension risk was not only related to the static characteristics of the pulse wave,but also to the dynamic characteristics of the pulse wave.Conclusion The proposed model has higher classification accuracy and generalization performance compared to typical pulse wave classification models.

Chronic myeloid leukemia (CML) is a slowly progressing hematopoietic cell disorder. Sphingosine kinase 1 (SPHK1) plays established roles in tumor initiation, progression, and chemotherapy resistance in a wide range of cancers, including leukemia.However, small-molecule inhibitors targeting SPHK1 in CML still need to be developed. This study revealed the role of SPHK1 in CML and investigated the potential anti-leukemic activity of hirsuteine (HST), an indole alkaloid obtained from the oriental plant Uncaria rhynchophylla, in CML cells. These results suggest that SPHK1 is highly expressed in CML cells and that overexpression of SPHK1 represents poor clinical outcomes in CML patients. HST exposure led to G2/M phase arrest, cellular apoptosis, and downregulation of Cyclin B1 and CDC2 and cleavage of Caspase 3 and PARP in CML cells. HST shifted sphingolipid rheostat from sphingosine 1-phosphate (S1P) towards the ceramide coupled with a marked inhibition of SPHK1. Mechanistically, HST significantly blocked SPHK1/S1P/S1PR1 and BCR-ABL/PI3K/Akt pathways. In addition, HST can be docked with residues of SPHK1 and shifts the SPHK1 melting curve, indicating the potential protein-ligand interactions between SPHK1 and HST in both CML cells. SPHK1 overexpression impaired apoptosis and proliferation of CML cells induced by HST alone. These results suggest that HST, which may serve as a novel and specific SPHK1 inhibitor, exerts anti-leukemic activity by inhibiting the SPHK1/S1P/ S1PR1 and BCR-ABL/PI3K/Akt pathways in CML cells, thus conferring HST as a promising anti-leukemic drug for CML therapy in the future.

Objective: To explore the mediation mechanism of coronary artery lesion among both male and female Kawasaki disease (KD) children. Methods: Children with KD that hospitalized in the Wenzhou Medical University affiliated Yuying Children’s Hospital from January 2009 to December 2014, were included in this study. Differences on demographical characteristics, clinical manifestations, laboratory indicators, regimen and time of treatment, results from pre/post echocardiography and treatment between male and female patients, were compared. The independent effect of gender on the risk of coronary artery lesions (CAL) was evaluated, and the mediating effect of BMI, visiting time and KD type on the association between gender and CAL were also studied. Results: The average BMI level of male patients was higher than that of female patients. The difference was statistically significant (P<0.001). The prevalence of overweight among male patients (20.9%) was higher than female (14.1%). The difference was statistically significant (P=0.011). Data from the multivariate logistic regression analysis confirmed that the incidence of CAL in male patients was higher than that in female patients (aOR=1.50, 95%CI: 1.06-2.12) but the CAL was mainly different before on the immunoglobulin therapy. Results from the mediation analysis showed that BMI was an important mediator in the association between gender and CAL, with the indirect effect as 1.05 (95%CI: 1.01- 1.10) and the proportion mediated as 13.0%. Conclusions Male patients presented higher incidence of CAL but was mainly reflected in the difference of CAL before the treatment. BMI was probably an important mediator related to the association between gender and CAL.