This article adopts Professor CHEN Chaozu′s " sanjiao composed by membrane-striae" theory as its foundation to explore the relationship between irritable bowel syndrome and functional/structural abnormalities of the membrane-striae. Sanjiao encompasses both the tangible membrane and the intangible striae. These striae permeate the entire body，and their pathological changes comprehensively reflect qi，body fluids，and fasciae. Based on the physiological function of the membrane-striae in regulating qi and fluids，the pathogenesis of irritable bowel syndrome is characterized by a disharmony of membrane-striae and an imbalance of the qi-fluid interactions. In the early stage，external pathogens，emotional factors，or dietary stimuli often cause membrane-striae constriction and disordered qi-fluid circulation. In the middle stage，stagnant fluids gradually transform into phlegm retention，leading to membrane-striae obstruction. In the late stage，deficiency of vital qi becomes predominant，manifesting as laxity of membrane-striae with impaired control or weakened conduction. The treatment of irritable bowel syndrome should adopt " unblocking" as the guiding principle. In the early stage，therapy should focus on eliminating pathogenic factors and soothing membrane-striae to promptly restore qi-fluid circulation，thereby attaining unblocking through spasm relief. In the middle stage，treatment should focus on resolving tangible obstructions in membrane-striae，achieving unblocking via dredging. In the late stage，the emphasis should shift to reinforcing healthy qi，particularly by strengthening spleen-kidney yang qi，and achieving unblocking through supplementation. Concurrently，throughout the entire treatment process，the regulation of mental state and easing of emotional tension should be integrated to alleviate patient′s anxiety，achieving the goal of holistic treatment of both body and mind.

Since its emergence in the 1980s, the human immunodeficiency virus (HIV) has caused a global pandemic, posing a severe threat to human life and health as well as social development. Although pre-exposure prophylaxis (PrEP) effectively curbs HIV transmission and antiretroviral therapy (ART) significantly extends the lifespan of patients, vaccines remain a pivotal tool for blocking transmission and ending the pandemic. The high genetic variability of HIV-1, the glycan shield of its envelope glycoproteins, and the long-term persistence of latent reservoirs have repeatedly led to bottlenecks in traditional vaccine strategies. In recent years, mRNA technology has offered a novel approach to addressing these challenges, leveraging advantages such as sequence programmability, short production cycles, native conformational expression of antigens, and self-adjuvant effects. In recent years, mRNA vaccine technology has emerged as a transformative solution to longstanding vaccinology challenges, characterized by its sequence programmability, rapid production cycles, native conformational antigen expression, and intrinsic self-adjuvanting properties. Unlike traditional platforms reliant on pathogen culture or recombinant proteins, mRNA vaccines can be expeditiously designed and updated based solely on viral genomic sequences. Lipid nanoparticle (LNP)-encapsulated mRNA facilitates endogenous antigen expression and presentation, simultaneously eliciting potent humoral and cellular immune responses. Within this landscape, self-amplifying mRNA (saRNA) further extends in vivo antigen expression to enhance the persistence of immune responses. Moreover, the LNP delivery system not only protects mRNA from degradation and mediates endosomal escape but also synergizes with mRNA to optimize immune activation via self-adjuvant effects. Importantly, mRNA platforms circumvent the pre-existing immunity associated with viral vectors and the genomic integration risks of DNA vaccines, positioning them as a cornerstone for global pandemic preparedness. This review systematically delineates recent advances in mRNA technology for HIV-1 vaccine development, focusing on four pivotal research frontiers. First, mRNA innovations building upon the RV144 trial optimize antigens through codon modification and multivalent designs to induce more durable and broad-spectrum immunity. Second, particulate mRNA vaccine strategies, utilizing virus-like particles (VLPs) and ferritin nanoparticles, achieve in situ antigen self-assembly, significantly enhancing B cell activation and reducing infection risks in non-human primate models. Third, germline-targeting mRNA vaccines address the low-affinity barrier of broadly neutralizing antibody (bNAp) precursors, efficiently activating rare precursor B cells and promoting affinity maturation. Fourth, therapeutic mRNA vaccines offer unique advantages for an HIV functional cure; combining immunogens with mRNA-encoded adjuvants potentiates cellular immunity, while LNP-mediated “shock-and-kill” strategies specifically activate latent reservoirs to guide immune clearance. Comparative analyses with traditional platforms reveal that mRNA technology redefines antigen production and presentation, simulating chronic infection through sustained expression and enabling dual-pathway presentation via endogenous synthesis. Furthermore, we explore the mechanistic innovations of mRNA vaccines in inducing bNAps: sustained in vivo production prolongs the activation window for precursor B cells and maintains germinal center (GC) reactions; endogenously expressed antigens adopt native conformations to expose conserved epitopes; and self-adjuvanting effects modulate the functions of antigen-presenting cells (APCs) and follicular helper T cells (Tfh), driving somatic hypermutation and affinity maturation. We also address critical clinical translation challenges, including immune durability, adaptability to special populations, and large-scale LNP manufacturing, while proposing targeted optimization strategies. In conclusion, this review establishes a theoretical framework for utilizing mRNA technology to overcome HIV-1 immune escape, transitioning from a descriptive paradigm to a problem-solving-based synthesis of evidence. By integrating preclinical and early clinical data, we bridge the gap between basic design and translational verification. mRNA technology is poised to become a central pillar inHIV-1 prevention and therapy, providing a robust toolset to achieve the global goal of ending the AIDS pandemic and offering a blueprint for vaccine development against other recalcitrant infectious diseases.

ObjectiveTo investigate the current awareness and optimization recommendations on pneumonia with unknown etiology (PUE) surveillance among Shanghai healthcare professionals, and to provide evidence for the improvement of the surveillance system. MethodsIn December 2024, healthcare professional participants from diverse medical and health institutions were randomly selected within each stratum using a stratified cluster sampling method in all 16 districts of Shanghai for questionnaire surveys on their knowledge and suggestions for optimization of the PUE surveillance system. Descriptive statistics analyses, multivariate logistic regressions, and content analyses were used for data analyses. ResultsA total of 385 survey subjects were involved in the study, including 119 professional staffs from disease prevention and control centers and 266 from medical institutions. Those who understood the case definition for PUE correctly accounted for 67.01% (258/385). Multivariate regression model analyses showed that female gender (aOR=2.22, 95%CI: 1.36‒3.66), professionals from disease control institutions (aOR=2.02, 95%CI: 1.12‒3.72), and those who self-assessed as being familiar with the monitoring system (aOR=2.18, 95%CI:1.23‒3.89) had better understanding of the definition. Overall, 89.61% (345/385) of the survey subjects acknowledged the necessity of the surveillance system. Small number of cases meeting the case definition (54.46%, 214/379), insufficient diagnostic awareness (39.84%, 151/379), and lack of incentives for case reporting (29.29%, 111/379) were major problems for the current surveillance system, with variations observed across different types of institutions. Suggested segments for optimizing the surveillance system included monitoring purpose, case definition, form of monitoring and reporting procedure, organization mechanism, and epidemiological investigation and response. ConclusionThe necessity of PUE surveillance is commonly recognized among healthcare workers. However, the existing system falls short in terms of mastery of case definition and overall surveillance adaptability. There is an urgent need for optimization and improvement to enhance the capacity for preventing and controlling emerging and sudden respiratory infectious diseases.

Objective To explore the association between dynamic indexes of maternal progesterone in early pregnancy and the average level and growth rate of fetal head circumference(HC)in mid-and late pregnancy.Methods This study adopted a retrospective cohort design and included 255 singleton pregnant women in the maternal and infant cohort of The First Affiliated Hospital of Xi'an Jiaotong University from January 2015 to December 2024.The progesterone levels of their early venous blood were detected and divided into two groups of progesterone trajectories,namely,fluctuating type and increasing type,by morphology.The dynamic indicators of progesterone in early pregnancy were constructed:cumulative dynamic deviation index in the first trimester(CDDI-P1T),gestational age at progesterone peak(GA-PP),and maximal relative progesterone decline in the first trimester(MRD-P1T).The average head circumference level and linear growth rate of the fetuses in the middle and late pregnancy were calculated.Generalized linear regression(GLM)was used to analyze the linear association between progesterone dynamic indicators and head circumference development.The key gestational weeks of progesterone affecting fetal head development were explored by linear regression of gestational weeks.Ordinary least squares(OLS)regression and restricted cubic spline(RCS)plots were used to draw the nonlinear association between progesterone dynamic indicators and head circumference.Results Among the 255 pregnant women included,92.5％of the progesterone trajectories in early pregnancy were fluctuating,and 7.5％were increasing.The growth rates of the increasing progesterone trajectory group were higher in the second and third trimesters than in the fluctuating group,but the differences were not statistically significant(all P＞0.05).GLM analysis showed that for every 1 unit increase in CDDI-P1T,the head circumference in the middle and late pregnancy increased significantly by 1.574 cm and 1.193 cm(Z=3.714,2.885,P＜0.01).The delay of GA-PP was negatively correlated with the head circumference in the middle pregnancy(β=-0.190 cm,95％CI:-0.339--0.041,P=0.010)but positively correlated with the head circumference growth rate in the late pregnancy(β=0.022 cm/week,95％CI:0.003-0.041,P=0.025).A 10％decrease in the decline of CDDI-P1T increased the head circumference in the middle pregnancy by 0.200 cm(95％CI:0.016-0.384,P=0.033),and a 100％decrease in the decline increased the head circumference growth rate in the late pregnancy by 0.201 cm/week(95％CI:0.002-0.399,P=0.048).The analysis of the key time window showed that for every 20 nmol/L increase in progesterone during 9.5-13 weeks of pregnancy,the mid-term head circumference increased by 0.035-0.166 cm(Z=2.452-3.517,allP＜0.05),and the late-term head circumference increased by 0.767 cm during 9-13 weeks of pregnancy(Z=2.452-3.517,all P＜0.05).When progesterone increased during 9.5-10.5 weeks of pregnancy,the growth rate of mid-term head circumference increased by 0.013-0.023 cm/week(Z=2.074-2.243,all P＜0.01).When progesterone increased during 8.5-10.5 weeks of pregnancy,the growth rate of late-term head circumference increased by 0.010-0.026 cm/week(Z=2.061-3.137,all P＜0.05).Conclusion Progesterone dynamic index is a new sensitive tool for evaluating fetal head circumference development.There is a stage-specific window period for progesterone regulation.9.5-13 weeks of pregnancy is the critical period for progesterone to affect head circumference growth,and 9.5-10.5 weeks of pregnancy is the core window for regulating the growth rate of head circumference.Therefore,it is necessary to combine progesterone dynamic index and time window for individualized intervention to promote the transformation of prenatal care from pregnancy maintenance to eugenics intervention.

Aim To investigate the antidepressant mechanism of hyperforin via the utilization of single-cell sequencing technology.Methods C57BL/6 mice were randomly divided into the control group,depres-sion model group,and hyperforin intervention group.The chronic unpredictable mild stress(CUMS)model was induced and drug interventions were administered for 28 d.Behavioral experiments were conducted to as-sess depressive symptoms,and hippocampal tissue was collected for single-cell RNA sequencing.Key cell populations and differentially expressed genes across groups were identified,followed by PPI network,GO,and KEGG enrichment analysis.Results Behavioral experiments indicated that CUMS successfully induced depressive symptoms in mice,while hyperforin im-proved depressive behavior.In the depression model group,the proportion of brain perivascular macrophages(PVM)increased,and this proportion decreased after hyperforin intervention,approaching the level seen in the control group.The top 20 common differentially ex-pressed genes in the PVM subpopulation were Saa3,Hbb-bs and Ccl24.PPI network analysis identified core targets,including Ccl2,Dhx9,C3,Msr1,Cxcl2 and Cx3cr1.KEGG enrichment analysis revealed pathways related to chemokines,phagosome formation,and inosi-tol phosphate metabolism.Conclusion The antide-pressant mechanism of hyperforin may be related to the regulation of Ccl24 and its related chemokine signaling pathway by PVM.

Turning to critical illness is a common stage of various diseases and injuries before death. Patients usually have complex health conditions, while the treatment process involves a wide range of content, along with high requirements for doctor′s professionalism and multi-specialty teamwork, as well as a great demand for time-sensitive treatments. However, this is not matched with critical care professionals and the current state of medical care in China. Telemedicine, which shortens the distance of medical professionals and the gap of disease diagnosis and treatments in various regions through electronic information, can effectively solve the current problem. Therefore, there is an urgent need to develop a standardized, high-quality visualization telemedicine round system .Therefore, experts have been organized to search domestic and foreign literature on telemedicine round for critically ill patients and to form this consensus based on clinical experiences so as to further improve the level of critical care treatments in regions.

The integration of multi-source data and the establishment of early warning indicator systems constitute pivotal elements for advancing surveillance and early warning capacities in respiratory infectious diseases. Given the multifaceted transmission mechanisms and complex contributing factors inherent in respiratory infectious diseases, surveillance datasets and associated early warning indicators demonstrate notable heterogeneity and sophisticated interrelationships. Furthermore, as surveillance and early warning requirements significantly vary across diverse epidemiological scenarios, accurate assessment of the value and applicability of distinct data types and indicators is imperative. This paper systematically reviews and synthesizes recent advancements in surveillance data and early warning indicators for respiratory infectious diseases, drawing on both domestic and international research. Particular attention is dedicated to analyzing the applicability and efficacy of various data types and indicators within multiple practical contexts, aiming to provide robust theoretical frameworks and methodological guidance to facilitate the development of resilient and efficient surveillance and early warning systems for respiratory infectious diseases.

AIM:To investigate the effect of silent information regulator 1(SIRT1)on the degree of aging and apoptosis in a mouse cardiomyocyte aging model through the regulation of Wnt/β-catenin pathway.METHODS:An in vi-tro aging model was established by inducing HL-1 cells with 40 μmol/L D-galactose(D-Gal).The HL-1 cells were trans-fected with a lentivirus overexpressing SIRT1,and the transfection efficiency was verified by Western blot.Western blot was used to detect the protein expression levels of SIRT1,P53,P21,cleaved caspase-3,B-cell lymphoma-2(Bcl-2),Bcl-2-associated X protein(Bax),β-catenin,Wnt3a and c-Myc.Senescence-associated β-galactosidase(SA-β-Gal)staining was used to detect cellular senescence level.MTT colorimetric assay was used to detect the cell viability,and flow cytometry was used to detect the apoptosis.RESULTS:Treatment of HL-1 mouse cardiomyocytes with D-Gal led to in-creases in the expression levels of aging-related proteins P53 and P21,as well as an increase in SIRT1 protein level.Addi-tionally,the SA-β-Gal staining showed a significant increase in the positive area(P＜0.05).The expression levels of apop-tosis-related proteins cleaved caspase-3 and Bax were elevated,while the level of the anti-apoptotic protein Bcl-2 was re-duced(P＜0.05).There was a marked decrease in cell viability(P＜0.05),and flow cytometry analysis demonstrated a significant increase in cell apoptosis rate(P＜0.05),which was positively correlated with the duration of D-Gal treatment.Overexpression of SIRT1 notably reduced both aging and apoptosis levels after 48 h of D-Gal treatment(P＜0.05).After D-Gal treatment,the expression levels of β-catenin,c-Myc and Wnt3a proteins were up-regulated.However,these levels were reduced when SIRT1 was overexpressed.Moreover,the addition of LiCl,a Wnt/β-catenin pathway agonist,resulted in increased expression levels of β-catenin,c-Myc and Wnt3a proteins compared with the group with SIRT1 overexpres-sion and D-Gal treatment(P＜0.05).CONCLUSION:SIRT1 inhibits cardiomyocyte apoptosis and alleviates cardiomyo-cyte aging through the Wnt/β-catenin pathway.

Objective To investigate the predictive value of early fluid balance combined with daily average fluid intake on the prognosis of patients who received hematoma evacuation for spontaneous intracerebral hemorrhage(sICH).Methods This study retrospectively and consecutively enrolled patients who underwent hematoma evacuation for sICH admitted to the Neurosurgical Intensive Care Unit of North China University of Science and Technology Affiliated Hospital between January 2023 and January 2025.Patients'baseline and clinical data were collected,including gender,age,admission vital signs(body temperature,respiratory rate,heart rate,systolic and diastolic blood pressure),medical history(hypertension,diabetes mellitus,coronary heart disease),admission Glasgow coma scale(GCS)score,admission laboratory parameters(including white blood cell count,red blood cell count,platelet count,urine bacterial levels,urine ketones,urine pH,homocysteine),hemorrhage location,hemorrhage volume,time from ictus to surgery,and hematoma evacuation rate(hematoma evacuation rate[％]=[preoperative hematoma volume-postoperative hematoma volume]/preoperative hematoma volume × 100％).Fluid intake,output,balance,daily average intake,and cumulative fluid balance during the early postoperative period(the first to seventh 24-hour periods)were assessed and recorded.Fluid intake comprised the sum of intravenously administered fluids(crystalloids,hypertonic fluids,colloids,blood products,and parenteral nutrition),enteral nutrition(nasogastric feeding solutions and water),and renal replacement therapy fluids.Fluid output comprised the sum of urine volume,vomitus,drainage fluid,and dialysis fluid losses.Fluid balance was defined as the difference between fluid intake and output.Daily average intake was calculated as the average of the fluid intake over the first seven postoperative 24-hour periods.Cumulative fluid balance was the sum of the fluid balances over the first seven postoperative 24-hour periods.Patient outcomes were assessed at 30 days postoperatively.Discharged patients underwent outpatient review or telephone follow-up,while inpatients were evaluated by neurosurgeons.Prognosis was evaluated using the 30-day modified Rankin scale(mRS)score:mRS scores 0-3 were classified as favorable prognosis,and mRS scores 4-6 as poor prognosis.Patients were subsequently divided into favorable prognosis and poor prognosis groups based on mRS scores.Factors with P＜0.05 in univariate comparisons and without collinearity(multicollinearity was defined by:tolerance＜0.1 and variance inflation factor＞10)were included in multivariate Logistic regression analysis to identify independent risk factors for poor 30-day prognosis after hematoma evacuation in sICH patients.Receiver operating characteristic(ROC)curve analysis was employed to evaluate the predictive value of relevant factors for poor 30-day prognosis after hematoma evacuation in sICH patients.Results A total of 320 patients who underwent hematoma evacuation for sICH were enrolled,including 192 males and 128 females,with an age range of 20-91 years(median age 62[53,68]years).Among them,144 patients were assigned to the favorable prognosis group and 176 to the poor prognosis group.The poor prognosis group exhibited significantly higher hemorrhage volume,homocysteine level,fluid intake at the 3rd,5th,6th,and 7th 24-hour periods,fluid balance at the 3rd,5th,6th,and 7th 24-hour periods,daily average intake,and cumulative fluid balance compared to the favorable prognosis group(all P＜0.05).The favorable prognosis group had a significantly higher hematoma evacuation rate,GCS score,proportion of supratentorial hemorrhage and negative urine ketones than the poor prognosis group(all P＜0.05).No significant differences were found in other clinical data(all P＞0.05).Fluid balance over the first seven postoperative 24-hour periods displayed a rise-decline-rise pattern in the poor prognosis group and a rise-decline pattern in the favorable prognosis group.Both groups peaked at the 3rd 24-hour period.Multivariate Logistic regression analysis identified fluid balance at the 3rd 24-hour period(OR,2.013,95％CI 1.386-2.922,P＜0.01)and daily average intake(OR,3.583,95％CI 1.793-7.161,P＜0.01)as independent influencing factors for poor 30-day prognosis after hematoma evacuation in sICH patients.ROC curve analysis revealed that the area under the curve(AUC)for fluid balance at the 3rd 24-hour period and daily average intake in predicting poor 30-day prognosis were 0.699(95％CI 0.642-0.757)and 0.765(95％CI 0.712-0.819),respectively.The combined model of fluid balance at the 3rd 24-hour period and daily average intake achieved an AUC of 0.804(95％CI 0.756-0.853),demonstrating significantly superior predictive performance compared to either variable alone(both P＜0.05).Conclusions The combination of fluid balance at the 3rd 24-hour period and daily average intake demonstrates modest predictive value for poor 30-day prognosis after hematoma evacuation in sICH patients.These findings require validation through multicenter,large-scale,prospective studies.

Objective To investigate the distribution and antimicrobial resistance profiles of clinically isolated Haemophilus influenzae and Moraxella catarrhalis in hospitals across China from 2015 to 2021,and provide evidence for rational use of antimicrobial agents.Methods Data of H.influenzae and M.catarrhalis strains isolated from 2015 to 2021 in CHINET program were collected for analysis,and antimicrobial susceptibility testing was performed by disc diffusion method or automated systems according to the uniform protocol of CHINET.The results were interpreted according to the CLSI breakpoints in 2022.Beta-lactamases was detected by using nitrocefin disk.Results From 2015 to 2021,a total of 43 642 strains of Haemophilus species were isolated,accounting for 2.91％of the total clinical isolates and 4.07％of Gram-negative bacteria in CHINET program.Among the 40 437 strains of H.influenzae,66.89％were isolated from children and 33.11％were isolated from adults.More than 90％of the H.influenzae strains were isolated from respiratory tract specimens.The prevalence of β-lactamase was 53.79％in H.influenzae strains.The H.influenzae strains isolated from children showed higher resistance rate than the strains isolated from adults.Overall,779 strains of H.influenzae did not produce β-lactamase but were resistant to ampicillin(BLNAR).Beta-lactamase-producing strains showed significantly higher resistance rates to these antimicrobial agents than the β-lactamase-nonproducing strains.Of the 16 191 M.catarrhalis strains,80.06％were isolated from children and 19.94％isolated from adults.M.catarrhalis strains were mostly susceptible to both amoxicillin-clavulanic acid and cefuroxime,evidenced by resistance rate lower than 2.0％.Conclusions The emergence of antibiotic-resistant H.influenzae due to β-lactamase production poses a challenge for clinical anti-infective treatment.Therefore,it is very important to implement antibiotic resistance surveillance for H.influenzae and guide rational antibiotic use.All local clinical microbiology laboratories should actively improve antibiotic susceptibility testing and strengthen antibiotic resistance surveillance for H.influenzae.