Objective In order to understand the current resistance status of Aedes albopictus(Ae. albopictus) adult population to commonly used insecticides and the resistance dynamics development in Zhejiang Province and provide a theoretical basis for the scientific and rational use of hygienic insecticides. Methods Resistance determination was carried out using the diagnostic dose method(GB/T 26347-2010)recommended by WHO in the adult mosquito contact cylinder method to monitor the resistance of Ae. albopictus field populations in 11 cities and districts in Zhejiang Province in 2024. Results The monitoring result showed that adult Ae. albopictus in 11 areas were resistant or suspected resistant populations to both cis-cypermethrin and permethrin; suspected and resistant populations to the organophosphate insecticide malathion were as high as 81.82%; while suspected resistance to the carbamate insecticide residual carbofuran accounted for 45.45%, and the rest of the monitoring sites were sensitive to it. Conclusions The result suggest that the generalized resistance of Ae. albopictus populations to pyrethroids and organophosphorus insecticides in the field in Zhejiang Province needs to be highly emphasized. In future mosquito vector and mosquito-borne disease control, insecticides should be selected based on the resistance monitoring information, while following scientific guidelines for insecticide use.

Objective To gain insights into the biological characteristics of different populations of Culex tritaeniorhynchus within and around the Yellow Sea wetland from the perspective of the occurrence of resistance, we investigated the levels of resistance to deltamethrin and kdr gene mutation in the wetland and its peripheral areas. Methods Specimens were collected from Cx. tritaeniorhynchus populations at two monitoring sites in the Rare Bird National Nature Reserve and Tiaozi Ni Wetland Scenic Area, and also from two populations in Yancheng City and the Liuhe District of Nanjing, and the resistance of these mosquitoes to deltamethrin was determined using the CDC biotest bottle method. For each concentration of deltamethrin assessed, a random subset of exposed specimens was selected for amplification of the kdr gene fragment, followed by Sanger sequencing to identify and analyze resistance-associated mutations. Results The LC50 levels of deltamethrin among mosquitoes from the four populations in Luhe, Yancheng, the Rare Bird National Nature Reserve and the Tiaozi Ni Wetland Scenic Area were 2.048 5, 7.798 2, 3.473 3, and 17.695 5 mg/mL, respectively, with corresponding concentrations of deltamethrin ranging from 0.005 to 5.000,0.050 to 50.000,0.050 to 25.000 and 0.050 to 50.000 mg/mL, respectively. Furthermore, the ranges of the KT50 values were 11.76-107.43, 67.05-216.30,29.77-107.43 and 28.40-329.51 min; the 1-h knockdown rates were 34.58%-99.15%, 9.52%-43.80%, 55.09%-73.01%, and 10.09%-68.07%; and the 24-h mortality rates were 12.15%-67.52%,9.52%-79.56%,13.17%-82.21%, and 11.01%-78.99%, respectively. With respect to kdr gene mutation, we assayed a total of 63,70,59, and 57 mosquitoes for the four populations, for which we detected L1014F mutation frequencies of 14.29%, 35.00%, 20.34%, and 31.58%, respectively, with a majority of these mutations being heterozygous for resistance. In addition, five adult mosquitoes were identified has having synonymous mutations at site 1011[i. e. , AAT(asparagine)mutation to AAC(asparagine)]. Conclusions Our findings revealed the clear resistance of Cx. tritaeniorhynchus to deltamethrin in the Yancheng region of the Yellow Sea wetland, and the resistance phenotype and kdr frequency of Cx. tritaeniorhynchus in the wetland environment were comparable to those of Cx. tritaeniorhynchus in the wetland environment, thereby indicating that the resistance of different populations of Cx. tritaeniorhynchus was homogeneous under the pressure of different insecticide selection within and around the wetland. However, the underlying mechanisms need to be further studied.

This article presents a case study of a patient who visited the Geriatric Department of Peking Union Medical College Hospital due to "palpitations, shortness of breath for more than 2 years, limb weakness for 6 months, edema, and nocturnal dyspnea for 2 months". The patient exhibited decreased muscle strength in the limbs and involvement of swallowing and respiratory muscles, alongside complications of heart failure and various arrhythmias which were predominantly atrial. Laboratory tests revealed the presence of multiple autoantibodies and notably anti-mitochondrial antibodies. Following a comprehensive multidisciplinary evaluation, the patient was diagnosed with anti-mitochondrial antibody-associated inflammatory myopathy. Treatment involved a combination of glucocorticoids and immunosuppressants, along with resistance exercises for muscle strength and rehabilitation training for lung function, resulting in significant improvement of clinical symptoms. The case underscores the importance of collaborative multidisciplinary approaches in diagnosing and treating rare diseases in elderly patients, where careful consideration of clinical manifestations and subtle abnormal clinical data can lead to effective interventions.

AIM: To analyze the clinical utility and value of the ultra-wide-field swept-source optical coherence tomography angiography(UWF-SS-OCTA)technique in changes of blood flow density and thickness in the central and peripheral regions of the retina and choroid in patients with nonproliferative diabetic retinopathy(NPDR)with or without diabetic kidney disease(DKD).METHODS: Cross-sectional study. Totally 50 cases(50 eyes)of diabetes mellitus(DM)that visited our hospital between June 2023 and June 2024 were included. They were divided into three groups: NPDR combined with DKD group(DKD group, n=20), NPDR without DKD group(NDKD group, n=20), and DM without retinopathy group(DM group, n=10, which served as control). In order to investigate the impact of DKD on ocular microangiopathy in NPDR patients, the retina and choroid within 24 mm×20 mm of the scan were separated into central and peripheral areas using the 3×3 nine-grid partition option that comes with UWF-SS-OCTA, and the parameters were then quantitatively assessed.RESULTS:The central and peripheral blood flow density of the choroidal capillary layer(CCP)was statistically significant between the DM group and the DKD group(t=3.93, P=0.0003; t=3.34, P=0.0016), and between the NDKD group and the DKD group(t=-3.06, P=0.003; t=-2.55, P=0.013), but there was no statistically significant difference between the DM group and the NDKD group(t=1.44, P=0.157; t=1.26, P=0.21). The mid-large choroidal vessel(MLCV)showed a progressive decline in central and peripheral blood flow density in the DM, NDKD, and DKD groups(F=13.74, 19.03, all P<0.0001). The DM, NDKD, and DKD groups saw a progressive decrease in central and peripheral choroidal thickness(CT; F=10.72, P=0.0001; F=13.12, P<0.001).CONCLUSION:CCP, MLCV, and CT can be used as visual indicators to identify impaired renal function in patients with NPDR. UWF-SS-OCTA can support the development of precise and noninvasive monitoring and treatment technology for diabetic ocular microangiopathy, while also offering a scientific foundation for the joint management of DR and DKD.

Objective To develop a combined model integrating radiomics and 3D deep learning features for improving the predictive efficacy of overall survival in non-small cell lung cancer(NSCLC)patients undergoing radiotherapy,thereby providing a foundation for optimizing individualized radiotherapy strategies.Methods A retrospective analysis was conducted on 522 NSCLC patients from 3 centers.Radiomics features were extracted from the tumor region of interest on radiotherapy planning CT scans,and a 3D-SE-ResNet was constructed to extract deep learning features.Following feature extraction,features were selected via univariate Cox analysis and Lasso-Cox regression,and a combined model was established by fusing the two feature types through principal component analysis.The discriminative ability of the model was evaluated using the concordance index(C-index)and the area under the receiver operating characteristic curve(AUC),while the risk stratification efficacy was verified by Kaplan-Meier survival analysis.Results The predictive performance of deep learning features was significantly superior to that of radiomics features(C-index:0.73 vs 0.65).The combined model achieved the highest predictive performance in the training set,internal test set,and external test set(C-index:0.74,0.69,0.72 respectively),with higher AUC values for predicting 1-year,2-year,and 3-year OS than either single model.Kaplan-Meier analysis showed significant differences in survival between the high-and low-risk groups(Log-rank test,P<0.001),and calibration curves indicated good consistency between predicted and actual survival outcomes.Conclusion The combined model integrating radiomics and 3D deep learning features can accurately predict survival outcomes in NSCLC patients undergoing radiotherapy.The multi-center validation results support its potential application in prognosis stratification for individualized radiotherapy.

Objective:To explore inhibitory effect of Tianzhi granule on neuroinflammation in vascular dementia(VD)rats.Methods:Sixty rats were randomly divided into Sham group,VD group,TZG-L group and TZG-H group,with 15 rats in each group.Bilateral common carotid artery occlusion was used to construct VD rats model,Sham group was not ligated.Rats in TZG-L group and TZG-H group were gavaged with Tianzhi granule 5 g/kg,20 g/kg every day,while rats in Sham group and VD group were gavaged with same amount of normal saline for 8 weeks.Y-maze test was used to detect cognitive ability of rats;Nissl staining and FJC staining were used to assess neuronal damage;TUNEL staining was used to detect neuronal apoptosis;immunofluorescence staining and Western blot were used to detect Bcl-2,Bax,Caspase-3,NLRP3,ASC,Caspase-1,IL-1β,IL-18,TNF-α,Iba-1,GFAP,MPO,Nrf2,HO-1 protein levels in temporal cortex tissue.PC12 cells was divided into Control group,Glutamate group,TZG-L group and TZG-H group.Glutamate(20 μmol/L)was used to construct neuron injury model.TZG-L group and TZG-H group were added with Tianzhi granule 1 mg/ml,4 mg/ml.Neurons in each group were incubated for 48 h.CCK8 method and TUNEL staining were used to detect activity and apoptosis of neurons;immunofluorescence staining and Western blot were used to detect Bcl-2,Bax,Caspase-3,Nrf2,HO-1 protein levels in cells.Results:Compared with Sham group,cognitive ability of rats in VD group were decreased,TUNEL positive neurons ratio was increased,Bcl-2 level was decreased,Bax,Caspase-3,NLRP3,ASC,Caspase-1,IL-1β,IL-18,TNF-α,Iba-1,GFAP,MPO,Nrf2,HO-1 levels were increased(all P<0.05).Compared with VD group,cognitive ability of rats in TZG-L group and TZG-H group were increased,TUNEL positive neurons ratio was decreased,Bcl-2,Nrf2,HO-1 levels were increased,Bax,Caspase-3,NLRP3,ASC,Caspase-1,IL-1β,IL-18,TNF-α,Iba-1,GFAP,MPO levels were decreased(all P<0.05).Morphology of neurons in control group were normal;compared with control group,neurons in Glutamate group were swollen,activity of neurons was decreased,apoptosis rate was increased,Bcl-2 level was decreased,Bax,Caspase-3,Nrf2,HO-1 levels were increased(all P<0.05);compared with Glutamate group,cell damage in TZG-L group and TZG-H group were reduced,activity of neurons was increased and apoptosis rate was decreased,Bcl-2,Nrf2,HO-1 levels were increased,Bax,Caspase-3 levels were decreased(all P<0.05).Conclusion:Tianzhi granule can inhibit neuronal apoptosis and expression of NLRP3 inflammasome in VD rats,inhibit activa-tion of microglia/astrocytes and neutrophil infiltration,improve neuroinflammation of VD,which may play a role by activating Nrf2/HO-1 signaling pathway in neurons.

Objective To analyze the CT manifestations of high altitude pulmonary edema(HAPE)to provide radiological evidence for its early and accurate diagnosis.Methods Totally 200 HAPE patients clinically confirmed at some hospital from April 2021 to April 2024 were enrolled into a study group,and 56 individuals undergoing health examinations at the hospital's physical examination center between January and June 2023 were included into a control group.Examinations were carried out with a United Imaging uCT528 40-slice spiral CT scanner.The patients in the study group were observed in terms of HAPE staging,the extent of pulmonary involvement,CT manifestations of different stages including location,distribution,density and morphology of pulmonary lesion.The diameters of the main pulmonary arteries and ascending aortas of the subjects in the two groups were measured,and the ratios of the two diameters were calculated.SPSS 25.0 software was used for statistical analysis.Results In the study group,there were 26 cases(13.0%)at early stage,105 ones at progression stage(52.5%),32 ones at critical outbreak stage(16.0%)and 37 ones at resolution and absorption stage(18.5%),and there were 35.5%with unilateral lung involvement and 64.5%with bilateral involvement.At early stage,HAPE chest CT manifestations included increased and thickened bilateral bronchovascular bundles,widened main pulmonary artery lumen and faint ground-glass opacity in lungs;at progression stage,HAPE chest CT manifestations revealed multiple cloud-like or patchy areas of increased density within lungs;at critical outbreak stage,CT scanning indicated diffuse patchy opacities and consolidation in lungs,white lung-like changes could be found in some severe cases,and bronchial air signs were shown within affected segments in some ones with severer signs in the right lung than in the left lung;at resolution and absorption stage the CT manifestations were similar to those at early stage,with lesions completely resolving after treatment.The study group had the diameters of the main pulmonary arteries greater while the diameters of the ascending aortas less than those of the control group,and the ratios of the diameters of the two diameters in the study group were higher than those in the control group,with the differences being statistically significant(all P<0.05).Conclusion Chest CT is an important examination method for the early diagnosis of HAPE and clarification of its clinical staging,which directly reflects the pulmonary pathological changes in HAPE patients and helps doctors fully understand the disease progression.

Objective:To analyze the correlation of bone mineral density (BMD) , serum transforming growth factor β1 (TGF- β1) , and retinol-binding protein 4 (RBP4) with osteoporosis in gestational diabetes mellitus (GDM) . Methods:A total of 180 GDM patients admitted to Department of Gynecology, Second Hospital of Tianjin Medical University from Jan. 2022 to Jan. 2024 were included as the observation group, and 30 healthy pregnant women undergoing examination at the same time were included into the control group. BMD [stiffness index (SI) , broadband ultrasound attenuation (BUA) , speed of sound (SOS) ], serum TGF-β1, and RBP4 levels were compared between the two groups; GDM women with complicated with osteoporosis were included in the osteoporosis subgroup, and pregnant women without osteoporosis were included in the non-osteoporosis subgroup. BMD, serum TGF- β1 and RBP4 levels were compared between the two groups, and the relationship among bone mineral density and serum TGF- β1, RBP4 was analyzed by Pearson correlation. Receiver operating characteristic curve (ROC) curve was drawn to evaluate the diagnostic value of serum TGF- β1 and RBP4 levels in GDM complicated with osteoporosis. Results:The observation group had significantly higher levels of serum TGF- β1 and RBP4 than the control group, while lower BUA, SOS and SI ( t=99.04, 28.48, 4.10, 3.54, 6.29, P < 0.05) ; Among 180 pregnant women with GDM, 38 cases had osteoporosis and 142 cases did not have osteoporosis. The osteoporosis subgroup had significantly higher serum TGF- β1 and RBP4 levels than the other subgroup, while BMD indexes such as BUA, SOS and SI were significantly lower ( t=3.35, 3.48, 3.77, 2.85, 3.41, P < 0.05) ; Pearson correlation analysis showed that BMD indexes, such as BUA, SOS and SI, were significantly correlated with serum TGF- β1 and RBP4 in pregnant women with GDM ( r=-0.61, 0.58, -0.60, -0.58, -0.60, -0.63, P<0.05) ; The area under the curve (AUC) of TGF- β1, RBP4 and combined detection of GDM women with osteoporosis was 0.572, 0.653 and 0.659, respectively. Conclusions:In GDM women complicated with osteoporosis, the levels of serum TGF- β1 and RBP4 increase significantly, and BMD decreases significantly. Serum TGF- β1 and RBP4 in GDM women are closely related to BMD index, which can provide early diagnosis basis for GDM complicated with osteoporosis.

Objective To propose a brain electrical phase prediction method based on long short-term memory network(LSTM)to improve the accuracy and robustness of phase synchronization prediction in transcranial magnetic stimulation(TMS).Methods First,an LSTM consisting of an input layer,an LSTM layer,an ReLU activation layer,a fully connected layer and a regression layer was constructed to capture the EEG signal features through the synergistic action of input gates,forgetting gates and output gates.Second,eye-open resting-state EEG data from 30 healthy subjects were trained using the LSTM to obtain a predictive model for EEG signal and EEG phase prediction.Finally,the LSTM method and the traditional autoregressive(AR)method were compared in terms of the phase prediction errors at the overall and individual levels and the prediction performance for peaks and troughs.A regression model was used to explore the relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error with the LSTM method.Results The LSTM method achieved a total phase prediction error of 0.04°±5.69°,which was lower than that of the traditional AR method(-3.36°±51.13°).For each subject,the LSTM method demonstrated superior phase prediction accuracy compared to the traditional AR method(P＜0.001).The accuracy for predicting peaks(troughs)by the LSTM method(about 89％)was higher than that by the traditional AR method(about 10％).Unlike the traditional AR method,the LSTM method didnot result in linear relationships between instantaneous EEG amplitude,signal-to-noise ratio and phase prediction error,with Pvalues being 0.58 and 0.18,respectively.Conclusion The LSTM-based brain electrical phase prediction method shows high accuracy and robustness when used for EEG phase-synchronized TMS.[Chinese Medical Equipment Journal,2025,46(3):1-8]

Lipoatrophic diabetes(LD) is a rare and distinct form of diabetes characterized by notable clinical heterogeneity. It is often considered one of the manifestations of lipodystrophy syndrome(LDS). In clinical practice, LD is frequently misdiagnosed as type 2 diabetes; however, its management protocols and prognostic outcomes differ significantly from those of other diabetes subtypes. Therefore, timely and accurate diagnosis is of great clinical importance. This paper presents two detailed case reports of female patients with LD. Through an in-depth analysis of their clinical features, it also provides an comprehensive review of the key clinical manifestations of LDS, potential pathogenic mechanisms, and current approaches to genetic diagnosis. The aim is to enhance clinicans′ awareness of LDS and improve corresponding diagnostic and therapeutic strategies.