ObjectiveTo analyze the epidemiological and etiological characteristics of a cluster of human metapneumovirus (HMPV) infection in a kindergarten in Gongshu District of Hangzhou City in May 2024, and to provide reference for the prevention and control of similar outbreaks. MethodsAn on-site investigation was conducted using an epidemiological case investigation form. Throat swab specimens collected from cases were screened for 13 respiratory pathogens using real-time fluorescent polymerase chain reaction (PCR). For HMPV nucleic acid positive specimens, the F gene of HMPV was used as the target gene for amplification and sequencing. The sequencing results were then compared with sequences in GenBank database to determine the virus subtypes and perform phylogenetic analyses. ResultsThe outbreak occurred in a kindergarter junior class with a total of 28 preschoolers and 3 teachers and childcare workers. A total of 11 cases (10 preschoolers and 1 teacher) were identified, including 8 male cases and 3 female cases. Clinical manifestations included fever in all 11 cases (100.00%), cough in 8 cases (72.72%), catarrhal symptoms in 4 cases (36.36%), and headache in 3 cases (27.27%). All symptoms were mild, and no severe cases were observed. A total of 11 throat swab samples were collected. Real-time fluorescent PCR test results showed that 3 samples were positive for HMPV nucleic acid, 2 samples were positive for both HMPV and Streptococcus pneumoniae, and 1 sample was positive for both HMPV and rhinovirus. The sequences of the 6 HMPV nucleic acid positive specimens were amplified and analyzed using specific primers, and all were determined to be HMPV subtype A2b. The F gene fragment sequence showed the highest similarity to PV081665.1/Brazil/2024 (99.65%), and also exhibited high similarity to PP683455.1/Indonesia/2021 (99.48%), PV016275.1/Beijing/2024 (99.31%), and PV052230.1/USA/2024 (99.13%). ConclusionThis cluster of acute respiratory tract infection was caused by HMPV subtype A2b, with co-infection of rhinovirus and Streptococcus pneumoniae. The F gene fragment sequences of the HMPV in this outbreak were highly homologous to those of the A2b strains isolated from Brazil, Beijing, Indonesia, and the the United States.

Objective This study applies Roy adaptation theory to deeply explore the experience of food avoid-ance behavior in patients with inflammatory bowel disease(IBD),offering insights for developing dietary management strategies.Methods A descriptive qualitative research method was employed.By purposive sampling,24 IBD pa-tients hospitalized in the gastroenterology department of a tertiary hospital in Nanjing from July 2022 to December 2024 were selected for semi-structured interviews.Data were analyzed using a directed content analysis approach.Results This study identified 4 main themes and 11 sub-themes,encompassing overattribution leading to inappro-priate avoidance(recurrent symptoms triggering overattribution,disease staging triggering inappropriate avoidance),negative self-perception leading management struggles(illness fear diminishing self-efficacy,disease trauma eroding self-identity,knowledge deficiency constraining self-determination),functional impairment intensifying role challenges(role internalization undermining social function,social roles relinquishing dietary management),and external con-straints amplifying practical difficulties(family and friend oversight heightening dietary stress,healthcare gaps foster-ing practical helplessness,traditional beliefs restricting dietary exploration,economic hardship limiting balanced nu-trition).Conclusion The interplay of overattribution,negative self-perception,functional impairment,and external constraints in IBD patients hinders their ability to adapt to disease fluctuations,ensnaring them in the adaptive predicament of food avoidance behavior.Healthcare professionals should comprehensively address these factors by fostering accurate perceptions,enhancing psychological support,guiding effective coping strategies,and optimizing ex-ternal resources,thereby improving patients' overall adaptive capacity and promoting their recovery.

Objective This study applies Roy adaptation theory to deeply explore the experience of food avoid-ance behavior in patients with inflammatory bowel disease(IBD),offering insights for developing dietary management strategies.Methods A descriptive qualitative research method was employed.By purposive sampling,24 IBD pa-tients hospitalized in the gastroenterology department of a tertiary hospital in Nanjing from July 2022 to December 2024 were selected for semi-structured interviews.Data were analyzed using a directed content analysis approach.Results This study identified 4 main themes and 11 sub-themes,encompassing overattribution leading to inappro-priate avoidance(recurrent symptoms triggering overattribution,disease staging triggering inappropriate avoidance),negative self-perception leading management struggles(illness fear diminishing self-efficacy,disease trauma eroding self-identity,knowledge deficiency constraining self-determination),functional impairment intensifying role challenges(role internalization undermining social function,social roles relinquishing dietary management),and external con-straints amplifying practical difficulties(family and friend oversight heightening dietary stress,healthcare gaps foster-ing practical helplessness,traditional beliefs restricting dietary exploration,economic hardship limiting balanced nu-trition).Conclusion The interplay of overattribution,negative self-perception,functional impairment,and external constraints in IBD patients hinders their ability to adapt to disease fluctuations,ensnaring them in the adaptive predicament of food avoidance behavior.Healthcare professionals should comprehensively address these factors by fostering accurate perceptions,enhancing psychological support,guiding effective coping strategies,and optimizing ex-ternal resources,thereby improving patients' overall adaptive capacity and promoting their recovery.

Objective To explore the potential categories and influencing factors of the fear of progression in patients with inflammatory bowel diseases(IBD).Methods IBD patients who received inpatient treatment in a tertiary hospital in Nanjing from July 2022 to July 2023 were selected as the study subjects by convenience sampling method.The General Demographic Information Questionnaire,the Chinese version of the Fear of Progression Questionnaire-Short Form(FoP-Q-SF),the Chinese version of Inflammatory Bowel Disease Self-efficacy Scale(IBD-SES),and Social Support Rating Scale(SSRS)were administered to the participants.We applied one-way ANOVA and Logistic regression analysis to identify the factors associated with the potential categories of the fear of progression.Results A total of 303 retumed questionnaires(out of the 310)were valid,resulting an effective response rate of 97.74％.According to the results of latent profile analysis,we classified the respondents into 3 categories by the fear of progression,namely"low risk fear of disease adaptation group"(n=127,41.91％),"medium risk fear of illness distress group"(n=139,45.88％),"high risk fear of dysfunction group"(n=37,12.21％).3 groups showed statistically significant differences in permanent address,self-rated financial pressure,current disease status and self-efficacy(P＜0.05).Conclusion Patients with IBD had obvious differences in characteristics on the fear of progression.Nursing personnel should formulate personalized intervention strategies based on the classification characteristics of the fear of progression of IBD patients.Moreover,nurses should focus on improving patients'self-efficacy and promoting patients to treat medical care,stress and emotion management correctly.

Objective:To translate the Illness Identity Questionnaire (IIQ) into Chinese and test its reliability and validity.Methods:The English version of IIQ was translated into Chinese and back-translated according to the Brislin model. The item of the Chinese version was determined after cross-cultural adaptation and pre-experiment. A total of 368 patients with IBD treated in the First Affiliated Hospital with Nanjing Medical University from September 2022 to March 2023 were selected for a questionnaire survey to evaluate the reliability and validity of the questionnaire.Results:The Chinese version of IIQ contained 24 items in four dimensions. Four common factors were extracted by exploratory factor analysis, and the cumulative variance contribution rate was 64.025%. Confirmatory factor analysis showed that each fitting index of the modified model was within the acceptable range. The Cronbach's α coefficients of rejection, acceptance, engulfing, and enrichment in Chinese IIQ were respectively 0.780, 0.800, 0.921, and 0.917. The split-half reliability coefficients were 0.824, 0.818, 0.943, and 0.929; the retest reliability coefficients were 0.695, 0.667, 0.725, and 0.572, respectively.Conclusions:The Chinese version of IIQ is reliable and valid and can be used to assess illness identity in patients with chronic diseases.

Iron is an indispensable nutritional element for human growth and development. It has a protective effect on cardiovascular. The changes and metabolism of iron can affect the physiological and pathological state of the body. Current research has confirmed that iron overload will promote the synthesis of cholesterol and increase lipid metabolism disorders. Lipid metabolic disorders in the body easily induce the occurrence and development of related metabolic diseases, and increase the hidden dangers of the outbreak of relevant risk factors. This article reviews iron and lipid metabolic and other metabolic diseases and natural products to prevent diseases through iron metabolic pathway, which aims to provide more powerful references for in-depth research on the mechanism of metabolic diseases and related diseases and target drug research and development.

Objective:This study aims to explore the abnormal instantaneous coactivation pattern of the key nodes of default mode network (DMN) and its relationship with social deficits in participants with autism spectrum disorder (ASD).Methods:This study included participants (ASD: n=354, healthy control (HC): n=446) from the Autism Brain Imaging Data Exchange (ABIDE), which is a multi-center and large-sample resting-state functional magnetic resonance imaging (rs-fMRI) database. Coactivation pattern (CAP) analysis was used to explore the coactivation pattern characteristics of medial prefrontal cortex (mPFC), the key node of DMN, and its abnormal interaction with other key nodes of DMN as well as task-positive network. Network dissociation index (NDI) was used to capture the extent of functional dissociation within and between networks and predict the clinical symptoms of ASD based on multi-variable support vector regression. Results:When mPFC was activated, precuneus, another key node of DMN, showed lower activation in participants with ASD than those in the HC group ( t=-4.21, P<0.01). Instead, dorsal anterior cingulate cortex (dACC) and orbital fronto-insula junction, key nodes of the salience network (SN), showed higher activation in participants with ASD than those in the HC group ( t=2.93, 2.61, all P<0.05). Additionally, compared with HC, ASD showed significantly higher NDI within DMN ( t=3.63, P<0.01) and significantly lower NDI between DMN and SN (dACC and orbital fronto-insula junction) ( t=-2.97, -3.31, all P<0.01). Additionally, using multi-variable support vector regression model, altered NDI could well predict social, speech communication deficits and disease severity of ASD ( r=0.191,0.216,0.186, all P<0.01). Conclusion:The CAP of mPFC in ASD in resting state was abnormal, which reflected the decreased functional integration within DMN and the decreased functional segregation between DMN and task-positive network. Besides, this abnormal network function pattern was closely related to clinical symptoms of ASD.

After undergoing the long-term lived experience of symptoms and suffering, chronic patients change the understanding of self and try to create or regain a coherent sense of self, resulting in different degrees of illness identity. This research reviewed the origin, connotation, assessment tools, and summarized the performance level, influencing factors and intervention studies of illness identity in patients with chronic disease. It would provide references for research of illness identity, and to provide new ideas for promoting patients with chronic diseases to cope with and manage diseases.

Objective:This study aims to explore the abnormal instantaneous coactivation pattern of the key nodes of default mode network (DMN) and its relationship with social deficits in participants with autism spectrum disorder (ASD).Methods:This study included participants (ASD: n=354, healthy control (HC): n=446) from the Autism Brain Imaging Data Exchange (ABIDE), which is a multi-center and large-sample resting-state functional magnetic resonance imaging (rs-fMRI) database. Coactivation pattern (CAP) analysis was used to explore the coactivation pattern characteristics of medial prefrontal cortex (mPFC), the key node of DMN, and its abnormal interaction with other key nodes of DMN as well as task-positive network. Network dissociation index (NDI) was used to capture the extent of functional dissociation within and between networks and predict the clinical symptoms of ASD based on multi-variable support vector regression. Results:When mPFC was activated, precuneus, another key node of DMN, showed lower activation in participants with ASD than those in the HC group ( t=-4.21, P<0.01). Instead, dorsal anterior cingulate cortex (dACC) and orbital fronto-insula junction, key nodes of the salience network (SN), showed higher activation in participants with ASD than those in the HC group ( t=2.93, 2.61, all P<0.05). Additionally, compared with HC, ASD showed significantly higher NDI within DMN ( t=3.63, P<0.01) and significantly lower NDI between DMN and SN (dACC and orbital fronto-insula junction) ( t=-2.97, -3.31, all P<0.01). Additionally, using multi-variable support vector regression model, altered NDI could well predict social, speech communication deficits and disease severity of ASD ( r=0.191,0.216,0.186, all P<0.01). Conclusion:The CAP of mPFC in ASD in resting state was abnormal, which reflected the decreased functional integration within DMN and the decreased functional segregation between DMN and task-positive network. Besides, this abnormal network function pattern was closely related to clinical symptoms of ASD.

The functional coupling between motor cortex and effector muscles during autonomic movement can be quantified by calculating the coupling between electroencephalogram (EEG) signal and surface electromyography (sEMG) signal. The maximal information coefficient (MIC) algorithm has been proved to be effective in quantifying the coupling relationship between neural signals, but it also has the problem of time-consuming calculations in actual use. To solve this problem, an improved MIC algorithm was proposed based on the efficient clustering characteristics of K-means ++ algorithm to accurately detect the coupling strength between nonlinear time series. Simulation results showed that the improved MIC algorithm proposed in this paper can capture the coupling relationship between nonlinear time series quickly and accurately under different noise levels. The results of right dorsiflexion experiments in stroke patients showed that the improved method could accurately capture the coupling strength of EEG signal and sEMG signal in the specific frequency band. Compared with the healthy controls, the functional corticomuscular coupling (FCMC) in beta (14~30 Hz) and gamma band (31~45 Hz) were significantly weaker in stroke patients, and the beta-band MIC values were positively correlated with the Fugl-Meyers assessment (FMA) scale scores. The method proposed in this study is hopeful to be a new method for quantitative assessment of motor function for stroke patients.
Algorithms ; Electroencephalography ; Electromyography ; Humans ; Motor Cortex ; Muscle, Skeletal ; Stroke