eIF3a is a N ⁶-methyladenosine (m⁶A) reader that regulates mRNA translation by recognizing m⁶A modifications of these mRNAs. It has been suggested that eIF3a may play an important role in regulating translation initiation via m⁶A during infection when canonical cap-dependent initiation is inhibited. However, the death of animal model studies impedes our understanding of the functional significance of eIF3a in immunity and regulation in vivo. In this study, we investigated the in vivo function of eIF3a using eIF3a knockout and knockdown mouse models and found that eIF3a deficiency resulted in splenic tissue structural disruption and multi-organ damage, which contributed to severe sepsis induced by Lipopolysaccharide (LPS). Ectopic eIF3a overexpression in the eIF3a knockdown mice rescued mice from LPS-induced severe sepsis. We further showed that eIF3a maintains a functional and healthy immune system by regulating B cell function and quantity through m⁶A modification of mRNAs. These findings unveil a novel mechanism underlying sepsis, implicating the pivotal role of B cells in this complex disease process regulated by eIF3a. Furthermore, eIF3a may be used to develop a potential strategy for treating sepsis.

Microglial functions are linked to Ca²⁺ signaling, with endoplasmic reticulum (ER) calcium stores playing a crucial role. Microglial abnormality is a hallmark of Alzheimer's disease (AD), but how ER Ca²⁺ receptors regulate microglial functions under physiological and AD conditions remains unclear. We found reduced ryanodine receptor 2 (Ryr2) expression in microglia from an AD mouse model. Modulation of RyR2 using S107, a RyR-Calstabin stabilizer, blunted spontaneous Ca²⁺ transients in controls and normalized Ca²⁺ transients in AD mice. S107 enhanced ATP-induced migration and phagocytosis while reducing ramification in control microglia; however, these effects were absent in AD microglia. Our findings indicate that RyR2 stabilization promotes an activation state shift in control microglia, a mechanism impaired in AD. These results highlight the role of ER Ca²⁺ receptors in both homeostatic and AD microglia, providing insights into microglial Ca²⁺ malfunctions in AD.
Animals ; Microglia/pathology* ; Alzheimer Disease/pathology* ; Phagocytosis/drug effects* ; Ryanodine Receptor Calcium Release Channel/metabolism* ; Disease Models, Animal ; Mice ; Cell Movement/drug effects* ; Mice, Transgenic ; Calcium Signaling/physiology* ; Calcium/metabolism* ; Mice, Inbred C57BL ; Male ; Endoplasmic Reticulum/metabolism*

Objective To investigate the predictive value of atherosclerotic index of plasma(AIP)for the risk of coronary heart disease(CHD)in patients with nonalcoholic fatty liver disease(NAFLD).Methods A retrospective analysis was conducted in 299 patients with NAFLD.Based on presence or absence of CHD,the patients were divided into NAFLD with CHD group(n=177)and NAFLD group(n=122).Clinical data were collected from both groups,and AIP was calculat-ed.Multivariate Logistic regression analysis was performed to explore the independent risk factors for CHD in patients with NAFLD.Receiver operating characteristic(ROC)curves were plotted to evalu-ate the predictive value of AIP for the risk of CHD in patients with NAFLD.Results The NAFLD with CHD group had a higher proportion of males,smokers,and higher levels of alanine aminotrans-ferase(ALT),aspartate aminotransferase(AST),fasting plasma glucose(FPG),triglycerides(TG),low-density lipoprotein cholesterol(LDL-C),γ-glutamyltransferase(GGT),uric acid(UA),and AIP than the NAFLD group.The NAFLD with CHD group also had lower levels of high-density lipoprotein cholesterol(HDL-C)than the NAFLD group(P＜0.05).Multivariate Logistic regression analysis revealed that males(OR=2.548,95％CI,1.402 to 4.632,P=0.002),high levels of AST(OR=1.038,95％CI,1.002 to 1.077,P=0.041),high levels of LDL-C(OR=1.811,95％CI,1.242 to 2.640,P=0.002),and high AIP(OR=16.117,95％CI,1.874 to 138.609,P=0.011)were independent risk factors for CHD in patients with NAFLD(P＜0.05).ROC curve analysis showed that AIP had an area under the curve of 0.746(95％CI,0.688 to 0.804)for pre-dicting CHD in patients with NAFLD,with a sensitivity of 76.3％and a specificity of 73.0％.Conclusion AIP is an independent influencing factor for CHD in patients with NAFLD and has certain predictive value for the risk of CHD in these patients.

Objective:To explore the value of multiparametric ultrasonography，including grayscale ultrasound（US），color Doppler flow imaging（CDFI），and real-time shear wave elastography（SWE）in diagnosing mucosal healing（MH）in pediatric patients with Crohn's disease.Methods:This prospective study consecutively enrolled pediatric CD patients who underwent endoscopic examinations at Hunan Children's Hospital from January 2024 to August 2024. Based on the Simplified Endoscopic Score for Crohn's Disease（SES-CD），all intestinal segments were divided into two groups：the MH group and the non-mucosal healing（NMH）group. Differences in bowel wall thickness（BWT），bowel wall stratification，color Doppler grading，SWE values，and increased thickness of mesenteric fat were compared between the two groups. ROC curves were plotted to evaluate the diagnostic performance of each ultrasound parameter. Multivariate Logistic regression analysis was used to identify independent predictors of MH，and a regression model was developed based on these factors.Results:A total of 234 intestinal segments from 60 pediatric CD patients were included in the analysis，divided into the MH group（101 segments）and the NMH group（133 segments）.There were significant differences between the MH and NMH groups in terms of BWT，bowel wall stratification，color Doppler grading，SWE values，and increased thickness of mesenteric fat（all P<0.05）. The multivariate Logistic regression analysis identified BWT，color Doppler grading，and SWE values as independent predictors associated with MH（all P<0.05）.The area under the ROC curve was 0.906（95% CI = 0.867 - 0.945， P＜0.05），with a sensitivity of 0.865 and specificity of 0.851. Conclusions:Multiparametric ultrasonography can effectively assess MH in pediatric CD patients，providing critical information for accurate clinical evaluation of disease status and treatment outcomes.

This study was aimed atanalyzing the epidemic characteristics of dengue fever in Ruili City atthe China-Myanmar bor-der in late 2023,to provide evidence for local dengue fever prevention and control measures.Adult Aedes mosquitoes were collected from Ruili City with a backpack type mosquito sucking machine in October of 2023.Serum samples frompatients with suspected den-gue were collected in acutephase,in November of 2023.Detection ofdengue virus(DENV)nucleic acids in Aedesmosquitoes and acute phase serum samples from suspected dengue fever patients using reverse transcription-polymerase chain reaction,and nucleic acid positive samples were inoculated into Vero cells for viral culture.After three consecutive blind passage,samples with cytopathic effect(CPE)were collected for be sequencingand analysisof genetic and evolutionary information.Dengue case characteristics were analyzed through descriptive epidemiological methods.Among the 109 cases of dengue fever,the ratio of males to females was 1.27∶1.The youngest patient was 1 year old,the oldest patient was 84 years old,the age group of 20～59 years accounted for 73.39%,and the major-ity of occupations were freelancer(40.37%).A total of 827 female Aedes albopictus and 312 Aedes aegypti were collected,all of which tested negative for DENV nucleic acid.109 serum samples tested positive for DENV nucleic acid,including 49 DENV-1 and 60 DENV-2.Moreover,five DENV-1 and nine DENV-2 samples were obtainedthrough third-generation blind passaging with CPE.The E gene sequences of these five DENV-1 strains were detected,all were found to belong to DENV-1 genotype I,and had same evolu-tionary branch as the 2023 Guangzhou,China(PP563911),the 2019 Myanmar(MW793710),and 2019 Attapeu,Laos(MW559046).The nucleotide and amino acid sequence similarityamong the five DENV-1 genotype was 99.4%-99.9%and 99.8%-100.0%.Compared with the aforementioned epidemic strains,their nucleotide similarities were 99.5%-100.0%,99.4%-99.6%and 99.3%-99.5%,respec-tively,and amino acid similarity was 99.8%-100.0%.Nine DENV-2 E gene sequences were of Asian genotype I and belonged to the same evolutionary branch as the 2018 Myanmar(MW788982),2019 Hangzhou(OP684212)and 2019 Ruili(OQ928150).The nucleotide and amino acid similarities of the nine samples were 99.5%-100.0%and 99.8%-100.0%,respectively.Compared with the aforementioned epidemic strains,their nucleotide similarities were 99.7%-100.0%,99.3%-99.7%and 99.3%-99.7%,respectively,and the amino acid similarity was 99.8%-100%,99.8%-100.0%and 99.4%-99.6%,respectively.Two dengue vectors,Aedes albopictus and Aedes aegypti,were present in Ruili city,and the dengue outbreak was caused primarily by DENV-1 genotype I and DENV-2 Asian genotype I in later 2023.The sources of DENV-1 were probably the same as those of DENV-1 with Guangzhou(2023),and the sources of DENV-2 were probably from Myanmar.Dengue cases were found primarilyin the 20-59 year age group and freelancers,thus suggesting that relevant local departments should strengthen surveillance of dengue imported case and vector.

Objective:To construct and verify a nomogram prediction model basing on the influencing factors of the ac-tivity of daily living(ADL)disorders in ischemic stroke(IS),providing evidences for the early clinical imple-mentation of efficient rehabilitation therapies.Method:We retrospectively collected clinical data of 401 IS patients hospitalized in the department of Rehabili-tation of Guangdong Provincial Hospital of Chinese Medicine from January 2019 to December 2022,focusing on factors that may influence their ADL.These patients were randomly divided into the training(280 cases)and the validation(121 cases)sets according to 7∶3.We used univariate and multivariate logistic regression to analyze the influencing factors for the occurrence of ADL disorders in IS patients,and established the risk pre-diction model for the occurrence of ADL disorders by a visualized nomogram.The performance of this predic-tion model was assessed by the area under the curve(AUC),specificity,sensitivity,and calibration curve.Result:The results of multivariate logistic regression analysis in the training sets showed that age,diabetes mellitus,NIHSS score,FMA score,Hb,PLT,and HDL were independent influencing factors for the occur-rence of ADL disorders in IS patients.The nomogram model was constructed with the above 7 factors.The AUC,specificity,and sensitivity of this model were 0.875,82.8%,and 75.4%in the validation set,respec-tively,indicating that the model has a good discriminative ability.The calibration curve showed that the mod-el agrees well with the actual predicted probability.Conclusion:The nomogram risk prediction model constructed in this study can effectively predict the probabili-ty of ADL disorder in IS patients,aiding medical staff in implementing early rehabilitation intervention as early as possible and reduce the occurrence of ADL disorder.

This study was aimed atanalyzing the epidemic characteristics of dengue fever in Ruili City atthe China-Myanmar bor-der in late 2023,to provide evidence for local dengue fever prevention and control measures.Adult Aedes mosquitoes were collected from Ruili City with a backpack type mosquito sucking machine in October of 2023.Serum samples frompatients with suspected den-gue were collected in acutephase,in November of 2023.Detection ofdengue virus(DENV)nucleic acids in Aedesmosquitoes and acute phase serum samples from suspected dengue fever patients using reverse transcription-polymerase chain reaction,and nucleic acid positive samples were inoculated into Vero cells for viral culture.After three consecutive blind passage,samples with cytopathic effect(CPE)were collected for be sequencingand analysisof genetic and evolutionary information.Dengue case characteristics were analyzed through descriptive epidemiological methods.Among the 109 cases of dengue fever,the ratio of males to females was 1.27∶1.The youngest patient was 1 year old,the oldest patient was 84 years old,the age group of 20～59 years accounted for 73.39%,and the major-ity of occupations were freelancer(40.37%).A total of 827 female Aedes albopictus and 312 Aedes aegypti were collected,all of which tested negative for DENV nucleic acid.109 serum samples tested positive for DENV nucleic acid,including 49 DENV-1 and 60 DENV-2.Moreover,five DENV-1 and nine DENV-2 samples were obtainedthrough third-generation blind passaging with CPE.The E gene sequences of these five DENV-1 strains were detected,all were found to belong to DENV-1 genotype I,and had same evolu-tionary branch as the 2023 Guangzhou,China(PP563911),the 2019 Myanmar(MW793710),and 2019 Attapeu,Laos(MW559046).The nucleotide and amino acid sequence similarityamong the five DENV-1 genotype was 99.4%-99.9%and 99.8%-100.0%.Compared with the aforementioned epidemic strains,their nucleotide similarities were 99.5%-100.0%,99.4%-99.6%and 99.3%-99.5%,respec-tively,and amino acid similarity was 99.8%-100.0%.Nine DENV-2 E gene sequences were of Asian genotype I and belonged to the same evolutionary branch as the 2018 Myanmar(MW788982),2019 Hangzhou(OP684212)and 2019 Ruili(OQ928150).The nucleotide and amino acid similarities of the nine samples were 99.5%-100.0%and 99.8%-100.0%,respectively.Compared with the aforementioned epidemic strains,their nucleotide similarities were 99.7%-100.0%,99.3%-99.7%and 99.3%-99.7%,respectively,and the amino acid similarity was 99.8%-100%,99.8%-100.0%and 99.4%-99.6%,respectively.Two dengue vectors,Aedes albopictus and Aedes aegypti,were present in Ruili city,and the dengue outbreak was caused primarily by DENV-1 genotype I and DENV-2 Asian genotype I in later 2023.The sources of DENV-1 were probably the same as those of DENV-1 with Guangzhou(2023),and the sources of DENV-2 were probably from Myanmar.Dengue cases were found primarilyin the 20-59 year age group and freelancers,thus suggesting that relevant local departments should strengthen surveillance of dengue imported case and vector.

Objective:To construct and verify a nomogram prediction model basing on the influencing factors of the ac-tivity of daily living(ADL)disorders in ischemic stroke(IS),providing evidences for the early clinical imple-mentation of efficient rehabilitation therapies.Method:We retrospectively collected clinical data of 401 IS patients hospitalized in the department of Rehabili-tation of Guangdong Provincial Hospital of Chinese Medicine from January 2019 to December 2022,focusing on factors that may influence their ADL.These patients were randomly divided into the training(280 cases)and the validation(121 cases)sets according to 7∶3.We used univariate and multivariate logistic regression to analyze the influencing factors for the occurrence of ADL disorders in IS patients,and established the risk pre-diction model for the occurrence of ADL disorders by a visualized nomogram.The performance of this predic-tion model was assessed by the area under the curve(AUC),specificity,sensitivity,and calibration curve.Result:The results of multivariate logistic regression analysis in the training sets showed that age,diabetes mellitus,NIHSS score,FMA score,Hb,PLT,and HDL were independent influencing factors for the occur-rence of ADL disorders in IS patients.The nomogram model was constructed with the above 7 factors.The AUC,specificity,and sensitivity of this model were 0.875,82.8%,and 75.4%in the validation set,respec-tively,indicating that the model has a good discriminative ability.The calibration curve showed that the mod-el agrees well with the actual predicted probability.Conclusion:The nomogram risk prediction model constructed in this study can effectively predict the probabili-ty of ADL disorder in IS patients,aiding medical staff in implementing early rehabilitation intervention as early as possible and reduce the occurrence of ADL disorder.

Objective:To explore the value of multiparametric ultrasonography，including grayscale ultrasound（US），color Doppler flow imaging（CDFI），and real-time shear wave elastography（SWE）in diagnosing mucosal healing（MH）in pediatric patients with Crohn's disease.Methods:This prospective study consecutively enrolled pediatric CD patients who underwent endoscopic examinations at Hunan Children's Hospital from January 2024 to August 2024. Based on the Simplified Endoscopic Score for Crohn's Disease（SES-CD），all intestinal segments were divided into two groups：the MH group and the non-mucosal healing（NMH）group. Differences in bowel wall thickness（BWT），bowel wall stratification，color Doppler grading，SWE values，and increased thickness of mesenteric fat were compared between the two groups. ROC curves were plotted to evaluate the diagnostic performance of each ultrasound parameter. Multivariate Logistic regression analysis was used to identify independent predictors of MH，and a regression model was developed based on these factors.Results:A total of 234 intestinal segments from 60 pediatric CD patients were included in the analysis，divided into the MH group（101 segments）and the NMH group（133 segments）.There were significant differences between the MH and NMH groups in terms of BWT，bowel wall stratification，color Doppler grading，SWE values，and increased thickness of mesenteric fat（all P<0.05）. The multivariate Logistic regression analysis identified BWT，color Doppler grading，and SWE values as independent predictors associated with MH（all P<0.05）.The area under the ROC curve was 0.906（95% CI = 0.867 - 0.945， P＜0.05），with a sensitivity of 0.865 and specificity of 0.851. Conclusions:Multiparametric ultrasonography can effectively assess MH in pediatric CD patients，providing critical information for accurate clinical evaluation of disease status and treatment outcomes.

Post-traumatic stress disorder (PTSD),with the principal manifestations as invasive thinking,avoidance,negative emotions and cognition,and increased alertness,is a psychological disorder occurring after traumatic events. Sleep disorders are also considered as one of the core characteristics of PTSD. Previous studies have partly revealed the relationship between PTSD and sleep disorders,but the physiological mechanism of the relationship is still unclear. This article provides an overview of the clinical and physiological characteristics of PTSD and sleep disorders. Based on this,the bidirectional relationship between PTSD and sleep disorders is discussed,and the relevant physiological and brain mechanisms of the relationship between them are further explored. Future research needs to explore the neurophysiological mechanisms underlying the bidirectional relationship between PTSD and sleep by exploring the brain regions and neural circuits associated with both PTSD and sleep,providing more information and methods for the prevention and treatment of PTSD and sleep disorders.