BackgroundPostpartum depression can affect the physical and mental health of mothers and the quality of parenting. Most Chinese women perform traditional postpartum practices （commonly known as "doing the month"） after giving birth， while the existing findings are inconsistent and inconclusive regarding the potential of traditional Chinese postpartum practices to alleviate or exacerbate postpartum depression. ObjectiveTo explore the relationship between traditional Chinese postpartum practices and postpartum depression， so as to provide references for reducing the risk of postpartum depression. MethodsA total of 240 consecutive women who gave birth in the obstetrics department of the Mianyang Central Hospital and the Third Hospital of Mianyang from January to May 2024 were selected. Data were collected using Self-designed General Information Questionnaire， Chinese version of the Edinburgh Postnatal Depression Scale （EPDS）， the Social Support Rating Scale （SSRS）， the Patient Health Questionnaire-15 （PHQ-15）， the Adherence to Doing-the-Month Practices questionnaire （ADP）， and the Self-compiled Questionnaire on the Cognition of Doing-the-Month. The absolute value （A value） of the difference between scores of ADP and Cognition of Doing-the-Month Questionnaire was calculated to evaluate the degree of cognitive behavioral conflict of postpartum women. Pearson correlation analysis was performed to examine the correlations of EPDS score with SSRS score， PHQ-15 score， ADP total and dimensional scores， Cognition of Doing-the-Month Questionnaire total and dimensional scores， and A value. Logistic regression analysis was conducted to identify the protective and risk factors for developing postpartum depression. ResultsThe postpartum depression was detected in 22.50% of women. The postpartum women had a EPDS score of （6.21±5.00）， ADP score of （70.05±20.57）， SSRS score of （41.96±6.96）， PHQ-15 score of （4.63±3.77）， and Cognition of Doing-the-Month questionnaire score of （40.30±10.13）. The A value was （0.65±0.58）. Correlation analysis revealed that EPDS score was negatively correlated with the total ADP score and the four dimensional scores of the restrictions on social activities， diet， housework， and personal hygiene （r=-0.228， -0.146， -0.184， -0.275， -0.168， P<0.05 or 0.01）， and positively correlated with the A value （r=0.161， P<0.05）. Logistic regression analysis indicated that restriction on housework dimension in ADP was entered into the model （OR=0.930， 95% CI： 0.885~0.978）. ConclusionThe restriction on housework dimension in traditional Chinese postpartum practices may be a protective factor against postpartum depression.

Collagen-based materials, renowned for their biocompatibility and minimal immunogenicity, serve as exemplary substrates in a myriad of biomedical applications. Collagen-based micro/nanogels, in particular, are valued for their increased surface area, tunable degradation rates, and ability to facilitate targeted drug delivery, making them instrumental in advanced therapeutics and tissue engineering endeavors. Although extensive reviews on micro/nanogels exist, they tend to cover a wide range of biomaterials and lack a specific focus on collagen-based materials. The current review offers an in-depth look into the manufacturing technologies, drug release mechanisms, and biomedical applications of collagen-based micro/nanogels to address this gap. First, we provide an overview of the synthetic strategies that allow the precise control of the size, shape, and mechanical strength of these collagen-based micro/nanogels by controlling the degree of cross-linking of the materials. These properties are crucial for their performance in biomedical applications. We then highlight the environmental responsiveness of these collagen-based micro/nanogels, particularly their sensitivity to enzymes and pH, which enables controlled drug release under various pathological conditions. The discussion then expands to include their applications in cancer therapy, antimicrobial treatments, bone tissue repair, and imaging diagnosis, emphasizing their versatility and potential in these critical areas. The challenges and future perspectives of collagen-based micro/nanogels in the field are discussed at the end of the review, with an emphasis on the translation to clinical practice. This comprehensive review serves as a valuable resource for researchers, clinicians, and scientists alike, providing insights into the current state and future directions of collagen-based micro/nanogel research and development.
Collagen/chemistry* ; Drug Delivery Systems/methods* ; Humans ; Tissue Engineering/methods* ; Animals ; Biocompatible Materials/chemistry*

Antibody (Ab) humanization is critical to reduce immunogenicity and enhance efficacy in the preclinical phase of the development of therapeutic Abs originated from animal models. Computational suggestions have long been desired, but available tools focused on immunogenicity calculation of whole Ab sequences and sequence segments, missing the individual residue sites. This study introduces Site-specific Immunogenicity for Therapeutic Antibody (SITA), a novel computational framework that predicts B-cell immunogenicity score for not only the overall antibody, but also individual residues, based on a comprehensive set of amino acid descriptors characterizing physicochemical and spatial features for antibody structures. A transfer-learning-inspired framework was purposely adopted to overcome the scarcity of Ab-Ab structural complexes. On an independent testing dataset derived from 13 Ab-Ab structural complexes, SITA successfully predicted the epitope sites for Ab-Ab structures with a receiver operating characteristic (ROC)-area unver the ROC curve (AUC) of 0.85 and a precision-recall (PR)-AUC of 0.305 at the residue level. Furthermore, the SITA score can significantly distinguish immunogenicity levels of whole human Abs, therapeutic Abs and non-human-derived Abs. More importantly, analysis of an additional 25 therapeutic Abs revealed that over 70% of them were detected with decreased immunogenicity after modification compared to their parent variants. Among these, nearly 66% Abs successfully identified actual modification sites from the top five sites with the highest SITA scores, suggesting the ability of SITA scores for guide the humanization of antibody. Overall, these findings highlight the potential of SITA in optimizing immunogenicity assessments during the process of therapeutic antibody design.

Antibody humanization is critical to reduce immunogenicity and enhance efficacy in the preclinical phase of the development of therapeutic antibodies originated from animal models.Computational suggestions have long been desired,but available tools focused on immunogenicity calculation of whole antibody sequences and sequence segments,missing the individual residue sites.This study introduces Site-specific Immunogenicity for Therapeutic Antibody(SITA),a novel computational framework that predicts B-cell immunogenicity score for not only the overall antibody,but also individual residues,based on a comprehensive set of amino acid descriptors characterizing physicochemical and spatial features for antibody structures.A transfer-learning-inspired framework was purposely adopted to overcome the scarcity of Antibody-Antibody structural complexes.On an independent testing dataset derived from 13 Antibody-Antibody structural complexes,SITA successfully predicted the epitope sites for Antibody-Antibody structures with a receiver operating characteristic(ROC)-area unver the ROC curve(AUC)of 0.85 and a precision-recall(PR)-AUC of 0.305 at the residue level.Furthermore,the SITA score can significantly distinguish immunogenicity levels of whole human antibodies,therapeutic antibodies and non-human-derived antibodies.More importantly,analysis of an additional 25 thera-peutic antibodies revealed that over 70％of them were detected with decreased immunogenicity after modification compared to their parent variants.Among these,nearly 66％antibodies successfully iden-tified actual modification sites from the top five sites with the highest SITA scores,suggesting the ability of SITA scores for guide the humanization of antibody.Overall,these findings highlight the potential of SITA in optimizing immunogenicity assessments during the process of therapeutic antibody design.

Objective:To apply cardiovascular magnetic resonance (CMR) to quantitatively evaluate the morphology and tissue characteristics of thoracic skeletal muscle (TSM) in patients with Danon disease and hypertrophic cardiomyopathy (HCM), in order to provide auxiliary differential diagnostic information.Methods:A retrospective study was conducted on 15 Danon disease patients (Danon disease group) who completed CMR examination, and 15 HCM patients (HCM group) and 15 healthy volunteers (control group) who were matched by gender and age were compared. TSM (pectoralis major, pectoralis minor, erector spinae, and subscapularis) area index (TSMAi), T1 relaxation time of four groups, and extracellular volume (ECV) of skeletal muscles of two groups (pectoralis major and subscapularis) were measured for all subjects. Single factor analysis of variance and KruskalWallis test were used to compare three sets of values.Results:The total TSMAi of the Danon disease group was lower than that of the HCM group and the control group [(15.37±3.28)cm 2/m 2 vs (23.02±3.88)cm 2/m 2 vs (22.33±4.67)cm 2/m 2, P<0.001], and the TSMAi of each TSM was also lower than that of the HCM group and the control group (all P<0.05). There was no statistically significant difference in TSMAi between the HCM group and the control group (all P>0.05). The native T1 values of the pectoralis major muscle in the Danon disease group and HCM group were higher than those in the control group (all P<0.05). The ECV of the pectoralis major muscle and subscapularis muscle in the Danon disease group were higher than those in the HCM group and control group, and the enhanced T1 values were lower than those in the HCM group and control group (all P<0.05); There was no statistically significant difference in ECV and the enhanced T1 values between the HCM group and the control group ( P>0.05). Conclusions:The application of CMR can effectively evaluate the changes in TSM morphology and tissue characteristics in Danon disease patients. Compared with HCM patients, Danon disease patients showed significant atrophy of TSM with increased extracellular volume. CMR provides a quantitative reference for TSM in the differential diagnosis of the two.

Objective To observe the influence of different acceleration factors(AF)on compressed sensing susceptibility weighted imaging(CS-SWI)for cerebral medullary veins of healthy people,and to screen the best AF.Methods Forty healthy volunteers were prospectively enrolled.Axial brain SWI images were obtained with CS technique under different AF(AF0,CS2,CS4,CS6,CS8 and CS10),and the phase value(PV)and standard deviation(SD)of bilateral septal vein(SV),internal cerebral vein(ICV),thalamus vein(TV),basal vein(BV)and dentate nucleus vein(DNV)were measured.Taken PV and SD of parietal white matter as controls,the signal-to-noise ratio(SNR)and contrast-to-noise ratio(CNR)of venous images were calculated.Then the original images were reconstructed with minimum intensity projection,and the subjective quality scoring of reconstructed images were performed using a 5-point scale.SNR,CNR,PV and quality score were compared among images under different AF,and the best AF,i.e.with the best performances for displaying and quantitatively analyzing cerebral medullary veins in healthy people was obtained.Results Compared with those acquired with AF0,SNR and CNR of all cerebral medullary veins acquired with CS6,CS8 and CS10 were significantly different(all adjusted P＜0.05).Meanwhile,significant differences of PV in bilateral SV and right TV were found among CS6,CS8 and CS10,also in bilateral ICV,left TV and bilateral BV between CS8 and CS10(all adjusted P＜0.05).Conclusion Excessive AF might decrease image quality of CS-SWI for cerebral medullary veins.CS4 was the best AF for displaying and quantitatively analyzing cerebral medullary veins in healthy people.

Objective To explore the impact of δ-catenin expression level on resting-state brain function in breast cancer patients.Methods Totally 104 female breast cancer patients were prospectively enrolled and divided into δ-catenin high expression group(DH group,n=51)and δ-catenin low expression group(DL group,n=53)according to δ-catenin expression level,while 36 female healthy volunteers were selected as controls(control group).Neuropsychological tests were performed,and resting-state functional MRI(rs-fMRI)were acquired,then parameters of brain function,including amplitude of low frequency fluctuation(ALFF),fractional ALFF(fALFF),regional homogeneity(ReHo)and functional connectivity strength(FCS)of brain regions with differences among groups were obtained.Spearman correlation analysis was used to evaluate the correlations of function parameters of brain regions with general data and neuropsychological test scores.Results Significant differences of fALFF,ReHo and FCS values were found among 3 groups(familywise error rate[FWE]correction,all P＜0.05).fALFF value of left inferior temporal gyrus in DH and DL groups were both higher than that in control group(FWE correction,both P＜0.05),ReHo value of right inferior temporal gyrus in DH group,as well as of right middle temporal gyrus,right inferior temporal gyrus and right fusiform gyrus in DL group were all lower than that in control group(FWE correction,all P＜0.05),FSC value of left lenticular nucleus,left putamen,left fusiform gyrus,left calcarine fissure surrounding cortex and left inferior temporal gyrus in DH group were all higher than that in DL group(FWE correction,all P＜0.05),FSC value of left lenticular nucleus,left putamen,left fusiform gyrus and left calcarine fissure surrounding cortex in DH group were all higher than that in control group(FWE correction,all P＜0.05),while FSC value of left lingual gyrus,left lenticular nucleus and left putamen were both higher than that in control group(FWE correction,both P＜0.05).In brain regions with different fMRI indexes between DH group and DL group,FSC values were lowly positively correlated with CogPCA results(r=0.313,P＜0.05).In brain regions with different fMRI indexes between DH group and control group,fALFF value were lowly positively correlated with trail making test A(TMT A)and trail making test B(TMT B)(r=0.301,0.310,both P＜0.05),ReHo values were lowly negatively correlated with TMT B(r=-0.307,P＜0.05),FCS values were weakly/lowly positively correlated with TMT A and TMT B(r=0.282,0.309,both P＜0.05)and lowly negatively correlated with results of digital symbol substitution test(DSST)(r=-0.363,P＜0.05).In brain regions with different fMRI indexes between DL group and control group,fALFF values were weakly/lowly negatively correlated with results of mini mental state examination(MMSE),Montreal cognitive assessment(MoCA),auditory verbal learning test(AVLT)short-term memory and DSST(r=-0.399,-0.362,-0.344,-0.288,all P＜0.05).Conclusion The expression level of δ-catenin had certain impact on brain function of breast cancer patients,resulted in asymmetry changes of brain network in bilateral hemispheres,as well as memory loss through affecting left inferior temporal gyrus,left lenticular nucleus,left putamen and left fusiform gyrus.

Objective: To construct a risk prediction model for poly victimization (PV) among rural left behind middle and high school students in Chaoshan, and to evaluate the prediction effect of the model, so as to provide scientific basis for early identification and prevention of PV among students. Methods: A questionnaire survey was conducted among 1 005 left behind students, selected from 7 middle and high schools in rural areas of Shantou City and Jieyang City by a stratified random cluster sampling method from January 2020 to September 2021, for the personal, family, external environmental factors, psychological factors (mental resilience, coping approaches, self esteem and social support) and PV situations. R software and Logistic regression were used to screen predictor variables to build a risk prediction model, and the area under the ROC curve (area under the curve, AUC), accuracy, precision, recall, F1 value and calibration curve were used to evaluate the model s effect. Results: The incidence rate of PV among left behind middle and high school students was 23.38%. The results of Logistic regression analysis showed that physical illness or disability ( β =1.02), grade retention during the past year ( β =1.31), having no close partner ( β =1.00), self harm intention (seldom: β = 0.58 , occasionally: β =0.79), negative peer behavior ( β =0.90), family member smoking ( β =0.59), criminal offenses of parents ( β =1.04), witnessing school bullying ( β =0.78), house moving ( β =0.58), using venting ( β =0.34) and the coping style of patience ( β =0.28) were positively correlated with PV among left behind children in Chaoshan area, and family support in psychological flexibility ( β =-0.31) was negatively correlated with PV ( P <0.05). A nomogram prediction model was constructed for the meaningful variables included in the multivariate analysis, and the prediction model AUC was 0.88, the accuracy was 82.00 %, the precision was 77.78%, and the F1 value was 43.75%. The calibration plot fitted well, and the model had good discrimination and calibration. Conclusion The risk prediction model for left behind middle and high school students with PV has good predictive performance and is helpful for schools and communities to early identify high risk middle and high school students with PV.

Objective To investigate the clinical efficacy of esmolol combined with atorvastatin on se-vere sepsis complicated with cardiac insufficiency.Methods This study was a prospective,double-blind,ran-domized controlled clinical trial.A total of 153 patients with severe sepsis complicated with cardiac insufficien-cy admitted to this hospital from January 2021 to December 2022 were selected and divided into groups A,B,and C by random number table method,with 51 cases in each.Patients in group A were given routine symp-tomatic supportive treatment after admission.On this basis,patients in group B and group C were given esmo-lol,esmolol+atorvastatin,respectively.The hemodynamic indexes,serological indexes and clinical prognosis of the three groups before and after intervention were compared.Results There was no significant difference in baseline data,and hemodynamic and serological indexes of three groups before intervention(P＞0.05).Compared with before intervention,after five days of intervention,heart rate,systemic vascular resistance in-dex(SVRI),blood levels of creatine kinase-MB(CK-MB),cardiac troponin Ⅰ(cTn Ⅰ),tumor necrosis factor-α(TNF-α),interleukin-6(IL-6)and high sensitive C-reactive protein(hs-CRP)in three groups were de-creased,while the values of cardiac index(CI)were increased,and the differences were statistically significant(P＜0.05).After five days of intervention,the heart rate,SVRI,blood levels of CK-MB,cTn Ⅰ,TNF-α,IL-6,and hs-CRP in group C were lower than those in group A and group B,and the levels in group B were lower than those in group A;the value of CI in group C was higher than that in group A and group B,and group B was higher than that in group A,the differences were statistically significant(P＜0.05).After intervention,the length of stay in intensive care unit(ICU)in group C was the shortest,and that in group B was shorter than that in group A,the difference was statistically significant(P＜0.05).There was no significant difference in 28 d mortality among the three groups(P＞0.05).Conclusion Esmolol combined with atorvastatin can signif-icantly inhibit the inflammatory response in patients with severe sepsis complicated with cardiac insufficiency,relieve myocardial injury and promote rehabilitation,and the therapeutic effect is better than esmolol alone.

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.