Integrating evidence and causal mapping of help-seeking behaviour of migrant women with postpartum depression in Shanghai, China: a scoping review protocol.

INTRODUCTION: The estimated prevalence of postpartum depression (PPD) worldwide, in China, and Shanghai is 17.2%, 18.0% and 23.2%, respectively. In 2021, Shanghai housed a population of 3.2 million childbearing-age migrant women, most of whom migrated to the city with their husbands for economic reasons. There is a general lack of help-seeking behaviour for mental disorders in China due to the perceived risk of social stigmatisation. In Shanghai, 70% of women did not seek professional help for perinatal mental health problems. We aim to gather information from multiple perspectives, such as the migrant women with PPD and perinatal depression (PND), their caregivers, health service providers and communities, to understand the help-seeking behaviour of postpartum migrant women with PPD or PND in China. METHODS AND ANALYSIS: The Preferred Reporting Items for Systematic Reviews and Meta-Analyses framework for Scoping Reviews will guide this review. A bilingual research librarian developed a comprehensive search strategy to retrieve published and unpublished English and Chinese studies involving factors influencing women's PPD or PND help-seeking behaviour in China. This literature includes perceptions, views, patterns, acceptance and refusal, tendencies, probability, service accessibility and utilisation, and facts. We will search PubMed, Embase, Web of Science and CINAHL for English literature and CINKI for Chinese literature. Backward and forward snowball approaches will be used to identify additional relevant papers from the reference lists of selected papers. Two independent reviewers will screen the title and abstract and review the full text of selected papers to identify eligible articles for data extraction. We will build a Microsoft Access database to record the extracted data. The results will be presented in tables and a causal map to demonstrate the relationships between extracted variables and help-seeking behaviours for PPD and PND. A conceptual simulation model will be formulated based on the information from the literature to validate the logic of the relationships between variables, identify knowledge gaps and gain insights into potential intervention approaches. Experts and stakeholders will be invited to critique and comment on the results during group model building (GMB) workshops in Shanghai. These comments will be essential to validate the findings, receive feedback and obtain additional insights. ETHICS AND DISSEMINATION: The literature review component of our study does not require ethical approval because the information and data collected will be obtained from publicly available sources and will not involve human subjects. Our collaborating research partner, International Peach Maternal Child Hospital, obtained the IRB approval (GKLW-A-2023-020-01) for screening and enrolling participants in GMB workshops. Stanford University received IRB approval under protocol number 67 419. The full review will be presented at a relevant conference and submitted to a peer-reviewed scientific journal for publication to report findings.

Decoding hotline's information with text-mining: A protocol for improving tobacco control in Shanghai.

Tobacco consumption in China remains the primary cause of preventable mortality, with Shanghai being particularly affected by issues related to secondhand smoke exposure. This study explores the role of the public service hotline 12345, a grassroots initiative in Shanghai, in capturing public sentiment and assessing the effectiveness of anti-smoking regulations. Our research aims to accurately and deeply understand the implementation and feedback of smoking control policies: by identifying high-frequency points and prominent issues in smoking control work based on the smoking control work order data received by the health hotline 12320. The results of this study will assist government enforcement agencies in improving smoking monitoring and clarify the direction for improving smoking control measures. Text-mining techniques were employed to analyze a dataset comprising 78011 call sheets, all related to tobacco control and collected from the hotline between 1 January 2015 and 31 December 2019. This methodological approach aims to uncover prevalent themes and sentiments in the public discourse on smoking and its regulation, as reflected in the hotline interactions. Our study identified hotspots and the issues of greatest concern to citizens. Additionally, it provided recommendations to enforcement agencies to enhance their capabilities, optimize the allocation of human resources for smoking control monitoring, reduce enforcement costs and support for anti-smoking campaigns, thereby contributing to more effective tobacco control policies in the region.

Diagnosis of neuropsychiatric systemic lupus erythematosus by label-free serum microsphere-coupled SERS fingerprints with machine learning.

Surface-enhanced Raman spectroscopy (SERS) is a powerful optical technique for non-invasive and label-free bioanalysis of liquid biopsy, facilitating to diagnosis of potential diseases. Neuropsychiatric systemic lupus erythematosus (NPSLE) is one of the subgroups of systemic lupus erythematosus (SLE) with serious manifestations for a high mortality rate. Unfortunately, lack of well-established gold standards results in the clinical diagnosis of NPSLE being a challenge so far. Here we develop a novel Raman fingerprinting machine learning (ML-) assisted diagnostic method. The microsphere-coupled SERS (McSERS) substrates are employed to acquire Raman spectra for analysis via convolutional neural network (CNN). The McSERS substrates demonstrate better performance to distinguish the Raman spectra from serums between SLE and NPSLE, attributed to the boosted signal-to-noise ratio of Raman intensities due to the multiple optical regulation in microspheres and AuNPs. Eight statistically-significant (p-value <0.05) Raman shifts are identified, for the first time, as the characteristic spectral markers. The classification model established by CNN algorithm demonstrates 95.0% in accuracy, 95.9% in sensitivity, and 93.5% in specificity for NPSLE diagnosis. The present work paves a new way achieving clinical label-free serum diagnosis of rheumatic diseases by enhanced Raman fingerprints with machine learning.

Early-life antibiotic exposure promotes house dust mite-induced allergic airway inflammation by impacting gut microbiota and lung lipid metabolism.

Asthma is a chronic inflammatory respiratory disease. Early-life antibiotic exposure is a unique risk factor for the incidence and severity of asthma later in life. Perturbations in microbial-metabolite-immune interaction caused by antibiotics are closely associated with the pathogenesis of allergy and asthma. We investigated the effect of early intervention with common oral antibiotics on later asthma exacerbations and found that different antibiotic exposures can amplify different types of immune responses induced by HDM. Cefixime (CFX) promoted a biased type 2 inflammation, azithromycin (AZM) enhanced Th17 immune response, and cefuroxime axetil (CFA) induced eosinophils recruitment. Moreover, early-life antibiotic exposure can have short- and long-term effects on the abundance, composition, and diversity of the gut microbiota. In the model of CFX-promoted type 2 airway inflammation, fecal metabolomics indicated abnormal lipid metabolism and T cell response. Lipidomic also suggested allergic airway inflammation amplified by CFX is closely associated with abnormal lipid metabolism in lung tissues. Moreover, abnormalities in lipid metabolism-related genes (LMRGs) were found to have cellular heterogeneity be associated with asthma severity by bioinformatics analysis.

Insights into Dietary Different Co-Forms of Lysine and Glutamate on Growth Performance, Muscle Development, Antioxidation and Related Gene Expressions in Juvenile Grass Carp (Ctenopharyngodon idellus).

The study aimed to compare the effects of crystalline L-lysine and L-glutamate (CAA), Lys-Glu dipeptide (KE) on the growth and muscle development of grass carp (Ctenopharyngodon idellus), and related molecular mechanisms. Five experimental diets (CR, 0.5% CAA, 1.5% CAA, 0.5% KE, 1.5% KE) containing Lys and Glu as free (Lys and Glu, CAA) dipeptide (Lys-Glu, KE) forms were prepared, respectively. A total of 450 juvenile grass carp with an initial weight of 10.69 ± 0.07 g were randomly assigned to 15 cages, and 5 treatments with 3 replicates of 30 fish each for 61 days of feeding. The results showed that the group of 0.5% KE exhibited the best growth performances according to the indicator's weight gain rate (WGR) and specific growth rate (SGR), although no statistically significant occurred among all groups; diet supplemented with 0.5% CAA significantly elevated the condition factor (CF) and viscerasomatic index (VSI) of juvenile grass carp. Diet supplemented with different Lys and Glu co-forms at different levels promoted the muscle amino acid content compared with those of CR group. Comparing with the CR group and other groups, the hardness of 0.5% CAA group significantly increased, and the springiness of 0.5% KE group excelled. Both the muscle fiber diameter and density of 0.5% KE group showed significant difference with those of the CR group, and a negative correlation between them was also observed. To uncover the related molecular mechanism of the differences caused by the different co-forms of Lys and Glu, the effect of different diets on the expressions of protein absorption, muscle quality, and antioxidation-related genes was analyzed. The results suggested that comparing with those of CR group, the dipeptide KE inhibited the expressions of genes associated with protein metabolism, such as AKT, S6K1, and FoxO1a but promoted PCNA expression, while the free style of CAA would improve the FoxO1a expression. Additionally, the muscle development-related genes (MyoD, MyOG, and Myf5) were significantly boosted in CAA co-form groups, and the expressions of fMYHCs were blocked but fMYHCs30 significantly promoted in 0.5% KE group. Finally, the effect of different co-forms of Lys and Glu on muscle antioxidant was examined. The 0.5% CAA diet was verified to increase GPX1a but obstruct Keap1 and GSTP1 expressions, resulting in enhanced SOD activity and reduced MDA levels in plasma. Collectively, the different co-forms of Lys and Glu influenced the growth of juvenile grass carp, and also the muscle development and quality through their different regulation on the protein metabolism, muscle development- and antioxidative-related genes.