Objective To systematically evaluate the factors affecting taste alteration in patients undergoing cancer chemotherapy.Methods PubMed,Cochrane Library,Web of Science,CINAHL,Embase,CBM,CNKI,WanFang Data and VIP were searched from the establishment until August 1,2024.The retrieved literature was independently screened,evaluated and the data were extracted by 2 researchers,and statistical analysis was performed using Stata 17.0 software.Results A total of 18 studies were included,involving 4 686 patients.The incidence of taste changes is 73.46％.Totally 9 influencing factors were extracted through quantitative analysis,including oral mucositis(OR=1.98),dry mouth(OR=1.82),nausea(OR=3.05),loss of appetite(OR=2.41),use of triple antiemetic drugs(OR=2.45),gynecological cancers(OR=0.67),lung cancer(OR=0.57),paclitaxel types of chemotherapy d rugs(OR=2.86),and smoking(β=9.38).Conclusion The alteration of taste in cancer chemotherapy patients is in-fluenced by multiple factors.Nurses should regularly and dynamically assess changes in taste and implement individualized and refined nursing interventions in clinical practice to prevent or delay the development of taste alterations,thereby improving patients' quality of life and treatment adherence.

Objective:This study aims to explore the intervention effects of five different intelligent rehabilitation technologies, namely immersive virtual reality (imVR), non-fully immersive virtual reality (Nf-imVR), augmented reality, brain-computer interface (BCI), and rehabilitation robot (RT), on the upper limb function and activities of daily living of stroke patients with upper limb dysfunction.Methods:A computer-based search was conducted in PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Infrastructure, and Wanfang Databases for randomized controlled trials (RCT) on the intervention effects of different intelligent rehabilitation technologies on stroke patients with upper limb dysfunction. Manual search and other retrieval methods were also supplemented. The retrieval time limit was from the establishment of the databases to May 31, 2024. Data were extracted and the methodological quality was evaluated, and a network Meta-analysis was performed using Stata 17.0 software.Results:A total of 34 articals were included, involving 1 926 patients, and the studies included five intelligent rehabilitation technologies. The control groups all received dose-matched conventional physical training. The results of the network Meta-analysis showed that, compared with the dose-matched conventional physical training, in terms of improving upper limb function, the BCI had the best effect, followed by imVR, RT, Nf-imVR, and augmented reality in sequence; in terms of improving activities of daily living, the BCI still had the best effect, followed by imVR, RT, augmented reality, and Nf-imVR in sequence. The clustering ranking of upper limb function and activities of daily living was BCI >imVR > RT > Nf-imVR > augmented reality in turn.Conclusions:Intelligent rehabilitation technologies have advantages in improving the upper limb function and activities of daily living of stroke patients with upper limb dysfunction, and the BCI has obvious advantages.

Objective To systematically evaluate the factors affecting taste alteration in patients undergoing cancer chemotherapy.Methods PubMed,Cochrane Library,Web of Science,CINAHL,Embase,CBM,CNKI,WanFang Data and VIP were searched from the establishment until August 1,2024.The retrieved literature was independently screened,evaluated and the data were extracted by 2 researchers,and statistical analysis was performed using Stata 17.0 software.Results A total of 18 studies were included,involving 4 686 patients.The incidence of taste changes is 73.46％.Totally 9 influencing factors were extracted through quantitative analysis,including oral mucositis(OR=1.98),dry mouth(OR=1.82),nausea(OR=3.05),loss of appetite(OR=2.41),use of triple antiemetic drugs(OR=2.45),gynecological cancers(OR=0.67),lung cancer(OR=0.57),paclitaxel types of chemotherapy d rugs(OR=2.86),and smoking(β=9.38).Conclusion The alteration of taste in cancer chemotherapy patients is in-fluenced by multiple factors.Nurses should regularly and dynamically assess changes in taste and implement individualized and refined nursing interventions in clinical practice to prevent or delay the development of taste alterations,thereby improving patients' quality of life and treatment adherence.

Objective:This study aims to explore the intervention effects of five different intelligent rehabilitation technologies, namely immersive virtual reality (imVR), non-fully immersive virtual reality (Nf-imVR), augmented reality, brain-computer interface (BCI), and rehabilitation robot (RT), on the upper limb function and activities of daily living of stroke patients with upper limb dysfunction.Methods:A computer-based search was conducted in PubMed, Web of Science, Embase, Cochrane Library, China National Knowledge Infrastructure, and Wanfang Databases for randomized controlled trials (RCT) on the intervention effects of different intelligent rehabilitation technologies on stroke patients with upper limb dysfunction. Manual search and other retrieval methods were also supplemented. The retrieval time limit was from the establishment of the databases to May 31, 2024. Data were extracted and the methodological quality was evaluated, and a network Meta-analysis was performed using Stata 17.0 software.Results:A total of 34 articals were included, involving 1 926 patients, and the studies included five intelligent rehabilitation technologies. The control groups all received dose-matched conventional physical training. The results of the network Meta-analysis showed that, compared with the dose-matched conventional physical training, in terms of improving upper limb function, the BCI had the best effect, followed by imVR, RT, Nf-imVR, and augmented reality in sequence; in terms of improving activities of daily living, the BCI still had the best effect, followed by imVR, RT, augmented reality, and Nf-imVR in sequence. The clustering ranking of upper limb function and activities of daily living was BCI >imVR > RT > Nf-imVR > augmented reality in turn.Conclusions:Intelligent rehabilitation technologies have advantages in improving the upper limb function and activities of daily living of stroke patients with upper limb dysfunction, and the BCI has obvious advantages.

Extracellular vesicles(EVs)are nano-sized bilayer vesicles that are shed or secreted by virtually every cell type.A variety of biomolecules,including proteins,lipids,coding and non-coding RNAs,and mitochondrial DNA,can be selectively encapsulated into EVs and delivered to nearby and distant recipient cells,leading to alterations in the recipient cells,suggesting that EVs play an important role in intercellular communication.EVs play effective roles in physiology and pathology and could be used as diagnostic and therapeutic tools.At present,although the mechanisms of exosome biogenesis and secretion in donor cells are well understood,the molecular mechanism of EV recognition and uptake by recipient cells is still unclear.This review summarizes the current understanding of the molecular mechanisms of EVs'biological journey in recipient cells,from recognition to uptake and cargo release.Furthermore,we highlight how EVs escape endolysosomal degradation after uptake and thus release cargo,which is crucial for studies applying EVs as drug-targeted delivery vehicles.Knowledge of the cellular processes that govern EV uptake is important to shed light on the functions of EVs as well as on related clinical applications.

Objective To explore the changes of resting-state degree centrality(DC)in elderly patients with chronic insomnia disorder(CID).Methods Resting-state functional magnetic resonance imaging(rs-fMRI)data were collected from 26 untreated elderly patients with CID(CID group)and 45 healthy controls(HC)(HC group).Two-sample t-test was conducted to compare the intergroup differences in whole-brain DC values,and the correlation between DC values in different brain regions and clinical indicators were analyzed,and logistic regression analysis was performed to verify the diagnostic efficacy of changes in DC values for elderly CID.Results Compared with the HC group,the DC values of the right insula,left rolandic operculum,and opercular part of right inferior frontal gyrus in the elderly CID group decreased[P＜0.05,false discovery rate(FDR)corrected],while the DC values of the right middle frontal gyrus increased(P＜0.05,FDR corrected).And the DC values of the opercular part of right inferior frontal gyrus in the elderly CID group were positively correlated with sleep efficiency(r=0.504,P=0.009)and self-rating depression scale(SDS)(r=0.401,P=0.042),respectively.The sensitivity of DC value in the opercular part of right inferior frontal gyrus for diagnosing elderly CID was 0.822,the specificity was 0.615,and the accuracy was 0.701.Conclusion Elderly CID patients have abnormal DC values in the right insula,left rolandic operculum,opercular part of right inferior frontal gyrus and right middle frontal gyrus,which may provide imaging evidence for exploring the pathogenesis of CID and clinical diagnosis and treatment.

Objective:To train a deep convolutional neural networks (CNN) using a labeled data set to classify the metaphase chromosomes and test its accuracy for chromosomal identification.Methods:Three thousand and three hundred individuals undergoing surveillance for chromosomal disorders at the Laboratory for Comprehensive Prevention and Treatment of Birth Defects, Ningbo Maternal and Child Health Care Hospital from January 2013 to July 2019 were enrolled. A total of 3 300×46 chromosome images were included, of which 70% were used as the training set and 30% were used as the test set for the deep CNN. The accuracy of chromosome counting and "cutting + recognition + arrangement + automatic analysis" of the model were respectively evaluated. Another 80 images were collected to record the time and accuracy of chromosome classification by geneticists and the model, respectively, so as to assess the practical value of the model.Results:The CNN model was used to count the chromosomes with an accuracy of 61.81%, and the "cutting + recognition + arrangement + automatic analysis" accuracy of the model was 96.16%. Compared with manual operation, the classification time of the CNN model has been greatly reduced, and its karyotyping accuracy was only 3.58% lower than that of geneticists.Conclusion:The CNN model has a high performance for chromosome classification and can significantly reduce the work load involved with the segmentation and classification and improve the efficiency of chromosomal karyotyping, thereby has a broad application prospect.

Objective To develop and validate a risk prediction model based on early platelet-related parameters for bronchopulmonary dysplasia(BPD)in neonates admitted to the neonatal intensive care unit(NICU),and to facilitate early identification and intervention in high-risk populations.Methods Clinical data of 291 preterm infants with a gestational age(GA)≤32 weeks or a birth weight(BW)＜1 500 g,admitted to the NICU,were retrospectively analyzed.Out of these,214 cases were selected as the modeling group.This group was further categorized into the BPD group(n=76)and the non-BPD group(n=138),based on whether they required oxygen therapy at 28 days post-birth.Perinatal data,platelet-related parameters and other indicators between the two groups.Univariate and multivariate Logistic regression analyses were conducted to identify BPD risk factors,followed by the construction of a nomogram.An additional cohort of 105 preterm infants with GA≤32 weeks or BW＜1 500 g,were used to validate the model.This cohort was divided into the BPD group(n=43)and the non-BPD(n=62)group.Receiver operating characteristic(ROC)curve and calibration curve were used to internally verify the efficiency of the prediction model.Results The Logistic regression analysis identified GA,BW,Apgar score at 5 minutes≤7,invasive ventilation,platelet count(PLT)and mean platelet volume(MPV)as significant factors in the model(P＜0.05).The constructed nomogram was formulated using R language,and the areas under the ROC curve(AUC)for the three models were 0.908,0.931 and 0.918,respectively(P＜0.05).The verification group was verified by Bootstrap.The calibration curve showed a good fit.The internal validation AUC values of the three models were 0.877,0.890 and 0.886,respectively.Conclusion GA,BW,invasive ventilation,Apgar score at 5 minutes≤7,MPV and PLT are key risk factors for BPD onset.The risk prediction model based on these indicators can effectively predict BPD,providing clinicians with a valuable tool for early detection and intervention in the development of BPD.

Objective:To investigate the application value of high-resolution CT in the diagnosis of early lung adenocarcinoma.Methods:The clinical data of 90 patients with early lung adenocarcinoma who received treatment from January to December 2021 in Quzhou People's Hospital were retrospectively analyzed. These patients were divided into a non-invasive group ( n = 27) and an invasive group ( n = 63) according to whether they had invasive lung adenocarcinoma or not. In the non-invasive group, there were 10 patients with atypical adenomatous hyperplasia and 17 patients with in situ adenocarcinoma. In the invasive group, there were 38 patients with minimally invasive adenocarcinoma and 25 patients with invasive adenocarcinoma. A pathological diagnosis was performed in all patients. All patients underwent a high-resolution CT examination. The incidence of lung adenocarcinoma was compared between different loci. CT signs were compared between the non-invasive group and the invasive group. The receiver operating characteristic curve was used to determine the sensitivity and specificity of high-resolution CT in the differential diagnosis of lung adenocarcinoma prior to invasion. Results:There was no significant difference in the incidence of lung adenocarcinoma among the left upper lobe, right upper lobe, left lower lobe, and right lower lobe of the lung in each group (all P > 0.05). The detection rates of pleural indentation sign, spicule sign, and vascular bundle sign in the invasive group were 28.6% (18/63), 31.57% (20/63), and 27.0% (17/63), respectively, which were significantly higher than 7.41% (2/27), 11.11% (3/27), and 7.41% (2/27) in the non-invasive group ( χ2 = 4.90, 4.23, 4.35, all P < 0.05). There were no significant differences in detection rates in the lobar sign and air bronchogram sign between the two groups (both P > 0.05). The receiver operating characteristic curve analysis results showed that the sensitivity and specificity of high-resolution CT in differentiating pre-invasive lesions were 100.0% and 64.7%, respectively. Conclusion:High-resolution CT has a good diagnostic value for early lung adenocarcinoma. It can clearly display various signs of early lung adenocarcinoma, which is worthy of clinical reference.

Objective:To establish and validate an LC-MS/MS method for simultaneous determination of Aβ 1-42, Aβ 1-40, and Aβ 1-38 in cerebrospinal fluid. Additionally, the consistency between this method and three mainstream detection methods was evaluated.Methods:This study involved method establishment, validation, and consistency evaluation. The N15 labeled β-amyloid protein was used as the internal standard. Extraction was performed using Waters MCX 96-wells solid phase extraction plate, and the eluent was collected to QuanRecovery MaxPeak 700 μl plate. At the positive ion mode, the multi-reaction ion monitoring mode based on electric spray ionization is chosen for the determination of CSF Aβ 1-42, Aβ 1-40, and Aβ 1-38. Referring to the CLSI C62-A and EP-15A3 guidelines, the method is evaluated and verified, including quantitation of limit (LOQ), linearity, recovery, precision, and accuracy. In addition, a total of 57 clinical residual CSF samples were collected and the concentrations of Aβ 1-42 and Aβ 1-40 were determined based on manual INNOTEST ELISA assay and Lumipulse G and Roche Elecsys fully automated biochemical analyzers. The comparison analysis and deviation evaluation were conducted by passing-bablok and Bland Altman methods.Results:The analysis time of this method is 8 min, and the LOQ of Aβ 1-42, Aβ1-40 and Aβ1-38 is 0.1 ng/ml, 0.5 ng/ml, and 0.1 ng/ml, respectively, and the linear range can meet the needs of clinical detection. Respectively, the recovery is 86.2%-93.8%, 100.9%-103.9% and 103.3%-107.1%; the total imprecision is 4.7%-7.4%, 3.5%-4.6% and 5.2%-10.9%. The measured values of Aβ 1-42 certified reference materials are all within the allowable uncertainty requirements. Moreover, the carryover rate of three analytes was all≤0.11%. In addition, the correlations of Aβ 1-42 and Aβ1-40 in CSF between this LC-MS/MS method and the INNOTEST ELISA method, Lumipulse G and Roche Elecsys fully automated biochemical analyzers were all deemed good, with correlation coefficient (r) ranging from 0.920 to 0.970. However, the measured values between the four methods were remarkably different.Conclusion:We established and validated a robust method based on LC-MS/MS technology for simultaneous determination of Aβ 1-42, Aβ 1-40, and Aβ 1-38 in CSF. The method is accurate, simple, and suitable for clinical measurements. However, despite good correlations, there were substantial differences in the measurement results of Aβ 1-42 and Aβ 1-40 among different analytical platforms, indicating the need for further promotion of harmonization and standardization processes for AD classic biomarkers.