Melanoma Differentiation-Associated gene 5 (MDA5) serves as a pattern recognition receptor (PRR) that identifies pathogen-associated molecular patterns (PAMPs), making it instrumental in antiviral defense. However, its non-canonical role in adaptive immunity, particularly in regulating B-cell immune functions, is poorly characterized. Here, we demonstrate that MDA5 is critical for the marginal zone (MZ) B-cell differentiation, B-cell receptor (BCR) signal transduction, and cytoskeletal dynamics. We determined that the MDA5-NF-κB-DNM1 axis governs actin polymerization and that this impairment in Mda5 knockout (KO) B cells can be rescued by the treatment with the dynamin1 (DNM1) activator Bis-T-23. Furthermore, MDA5 deficiency induces metabolic perturbations in B cells, characterized by a reduced extracellular acidification rate (ECAR) and oxygen consumption rate (OCR), excessive reactive oxygen species (ROS) accumulation, and increased mitochondrial fission. Notably, taurine levels are decreased in Mda5 KO B cells, and in vitro taurine supplementation rescues impaired BCR signaling. Finally, MDA5-deficient mice exhibit a blunted humoral immune response. Overall, this study reveals the key functions and molecular mechanisms of MDA5 in B-cell differentiation, BCR signaling, and the humoral immune response.

NADPH is essential for cellular biosynthesis and redox balance in CD8 + T cells. Here, we demonstrate that the nonoxidative pentose phosphate pathway (non-oxPPP), mediated by transketolase (TKT) and transaldolase (TALDO1), is critical for CD8 + T cell activation, proliferation, and memory formation by maintaining NADPH homeostasis. Metabolomic profiling and isotopic tracing revealed upregulated non-oxPPP flux in effector (T eff ) and memory (T m ) CD8 + T cells, enabling a pentose cycle that amplifies NADPH yield and sustains metabolic fitness for T cell immunity. Genetic knockdown or pharmacological inhibition of Tkt or Taldo1 impaired NADPH production, leading to ribose-5-phosphate (R5P) accumulation, oxidative stress, reduced lipid synthesis, mitochondrial dysfunction, and compromised T eff cell proliferation, cytokine production, and antitumor efficacy. Conversely, enhancing non-oxPPP activity promoted T m differentiation, persistence, and recall responses. Targeting the non-oxPPP represents a promising strategy to enhance cancer immunotherapy and vaccine efficacy by bolstering T cell effector and memory responses.

Objective:Low ambient temperature is associated with increased carbon monoxide (CO) poisoning incidents, likely through behavioral pathways such as heating device use and reduced ventilation. This study examines the association between daily mean temperature and CO poisoning emergency medical service (EMS) responses in Chengdu, explores potential population susceptibility, estimates the attributable burden, and proposes exploratory temperature reference points for public health monitoring. Methods:CO poisoning EMS records from Chengdu (January 1, 2013-December 31, 2025; 4,352 cases across 1,894 days) were matched with daily meteorological and air pollutant data. A time-stratified case-crossover design combined with distributed lag nonlinear models (DLNMs; max lag = 5 days) was employed. Models adjusted for relative humidity, PM2.5, wind speed, precipitation, day of week, and holidays, using median temperature (10.5 °C) as reference. Stratified analyses covered age, sex, season, and humidity. Attributable fractions were estimated via Monte Carlo simulations. Results:A reverse "J"-shaped association was observed, with a cumulative lag 0-5 days minimum morbidity temperature (MMT) of 14.9 °C. Extreme cold (2.9 °C, 2.5th percentile) vs. reference was associated with a cumulative RR of 5.12 (95% CI: 1.74-15.09), peaking at lag 0 (RR = 1.79, 95% CI: 1.47-2.17). Subgroup analyses suggested potential vulnerability among adults aged 20-39 and ≥60 years. Wind speed stratification indicated a 69% higher extreme cold risk on low-wind days (RR ratio = 1.69), though formal interaction testing was non-significant (p = 0.94). Non-optimal temperatures were statistically coincident with an estimated 32.9% of EMS responses. Nominal exploratory reference points of 7.3 °C and 6.0 °C were derived; bootstrap validation (1,000 resamples) yielded median estimates of 7.0 °C (95% CI: 6.0-8.0 °C) and 6.0 °C (95% CI: 4.3-6.7 °C). Conclusion:Low ambient temperature serves as a measurable proxy indicator for conditions associated with elevated CO poisoning risk in Chengdu. The proposed exploratory temperature reference points (7.3 °C and 6.0 °C) may inform targeted safety messaging during winter, though prospective validation is required before operational implementation in warning systems.

AIM2, an inflammasome sensor, has been extensively investigated for its ability to induce pyroptosis in macrophages. However, its role in the adaptive immune system remains poorly studied, particularly in B cells. AIM2 knockout mice had decreased follicular (FO) and marginal zone (MZ) B cell subsets and impaired IgG3 switching. The activation of B cells enhanced the co-localization of AIM2 and BCR. Interestingly, AIM2 exerts dual regulatory effects on BCR signaling transduction by positively regulating the PI3K-AKT signaling axis and negatively regulating the BTK-NFκB signaling axis. Through immunoprecipitation-mass spectrometry (IP-MS) analysis, SNX9 was identified as a critical molecule that promotes downstream signaling by facilitating the association of PI3K with CD19 in an AIM2-dependent manner. Furthermore, AIM2 is involved in the endocytosis of BCR and CD19 and the subsequent antigen uptake and presentation processes via SNX9-WASP interaction. In AIM2 knockout mice, this dual regulation leads to reduced overall BCR signaling characterized by decreased calcium signaling and reduced antibody production following RBD immunization. Conversely, AIM2 is overexpressed in B cells of Kawasaki disease patients, contributing to the development of this autoimmune disease. In summary, our study has unveiled a novel positive regulatory role of AIM2 in B cell receptor activation, endocytosis, and humoral response, focusing on AIM2-associated signaling pathways in B cells.

Actin and actin polymerization factors regulate the immune system in a complex manner. The function in the cytoplasm has been well-established, where they are important components of the cytoskeleton, controlling cell migration, function, and vesicular transport. However, it remains poorly understood how they enter the nucleus to regulate immunological functions in B cells. Here, our study, through constructing a mouse model with specific WASH deletion in B cells, has shown that a deficiency of WASH leads to a decrease in BCR signaling and B cell metabolism, abnormal B cell differentiation, and a reduction of humoral response. Mechanistically, WASH interacts with pSTAT1 to promote the phosphorylation of STAT1, facilitating its translocation into the nucleus and regulating biological functions. Our study has unveiled the potential molecular mechanisms by which WASH influences B cell signaling, metabolism, and function through STAT1. These findings will offer potential avenues for therapeutic strategies targeting autoimmune diseases.

Purpose The EARS2 gene, a member of the mt-aaRS family, encodes mitochondrial glutamyl-tRNA synthetase (GluRS), which is involved in the synthesis of mitochondrial proteins. Pathogenic defects in EARS2 may cause mitochondrial OXPHOS deficiency, which is associated with a rare autosomal-recessive mitochondrial disease, leukoencephalopathy with thalamus and brainstem involvement and high lactate (LTBL). Methods In this study, clinical features were obtained, and whole-exome sequencing was conducted on a patient with LTBL. B- and T-cell immunophenotyping and protein expression were analyzed using flow cytometry, and B-cell metabolism was investigated using confocal microscopy. Results The patient with LTBL exhibited typical neurological manifestations, recurrent respiratory tract infections, and humoral immune disorders. Molecular analysis revealed a compound heterozygous novel mutation in c.1304T > A (p.L435Q) and a previously reported c.319 C > T (p.R107C) mutation of EARS2 . The mutations led to protein structural modifications of EARS2. The patient also exhibited disrupted peripheral B-cell differentiation and B-cell receptor signal transduction. The EARS2 mutation led to decreased expression of CD38 and dysfunction of mitochondrial metabolism, with elevated reactive oxygen species levels in B cells. Conclusion We identified a novel mutation of the EARS2 gene in a patient with LTBL, expanding the mutation database. The mutation of EARS2 modified protein structure and impaired B-cell function, decreased CD38 expression, and led to dysfunction of mitochondrial metabolism, all of which may account for the recurrent respiratory tract infections and humoral immune disorders observed in LTBL.

Secreted high mobility group box protein 1 (HMGB1) regulates the adaptive immune response and acts as a biosensor for cells undergoing necrosis, stress, and inflammatory stimulation. However, its role in B cells remains enigmatic. Here, we demonstrate that HMGB1 is critical for peripheral B cell homeostasis and humoral immunity. Conditional deletion of Hmgb1 in B cells led to expanded marginal zone B cells, reduced B1a cells, and impaired antigen-specific antibody responses. Mechanistically, HMGB1 deficiency enhanced proximal and distal B cell receptor (BCR) signaling, probably via increased CD21 expression, which lowered the BCR activation threshold. This phenotype was linked to reduced lymphoid enhancer-binding factor 1 (LEF1) levels, a Wnt-responsive transcription factor, as HMGB1 directly bound the Lef1 promoter to sustain its transcription, thereby repressing Cd21. Furthermore, HMGB1 constrained actin reorganization by suppressing the MST1/DOCK8/WASP axis, which feedback-modulated BCR clustering and signalosome recruitment. Collectively, HMGB1 ensures optimal BCR signaling by transcriptionally and cytoskeletally tuning activation thresholds, highlighting its dual role as a nuclear regulator and cytoskeletal modulator in B cell immunity.

IgG4-related disease (IgG4-RD) has complex clinical manifestations ranging from fibrosis and inflammation to deregulated metabolism. The molecular mechanisms underpinning these phenotypes are unclear. In this study, by using IgG4-RD patient peripheral blood mononuclear cells (PBMCs), IgG4-RD cell lines and Usp 25 knockout mice, we show that ubiquitin-specific protease 25 (USP25) engages in multiple pathways to regulate fibrotic and inflammatory pathways that are characteristic to IgG4-RD. Reduced USP25 expression in IgG4-RD leads to increased SMAD3 activation, which contributes to fibrosis and induces inflammation through the IL-1β inflammatory axis. Mechanistically, USP25 prevents ubiquitination of RAC1, thus, downregulation of USP25 leads to ubiquitination and degradation of RAC1. Decreased RAC1 levels result in reduced aldolase A release from the actin cytoskeleton, which then lowers glycolysis. The expression of LYN, a component of the B cell receptor signalosome is also reduced in USP25-deficient B cells, which might result in B cell activation deficiency. Altogether, our results indicate a potential anti-inflammatory and anti-fibrotic role for USP25 and make USP25 a promising diagnostic marker and potential therapeutic target in IgG4-RD.

The coronavirus disease 2019 (COVID-19) pandemic, along with the implementation of public health and social measures (PHSMs), have markedly reshaped infectious disease transmission dynamics. We analysed the impact of PHSMs on 24 notifiable infectious diseases (NIDs) in the Chinese mainland, using time series models to forecast transmission trends without PHSMs or pandemic. Our findings revealed distinct seasonal patterns in NID incidence, with respiratory diseases showing the greatest response to PHSMs, while bloodborne and sexually transmitted diseases responded more moderately. 8 NIDs were identified as susceptible to PHSMs, including hand, foot, and mouth disease, dengue fever, rubella, scarlet fever, pertussis, mumps, malaria, and Japanese encephalitis. The termination of PHSMs did not cause NIDs resurgence immediately, except for pertussis, which experienced its highest peak in December 2023 since January 2008. Our findings highlight the varied impact of PHSMs on different NIDs and the importance of sustainable, long-term strategies, like vaccine development.

Metabolism plays a crucial role in B cell differentiation and function. GSDMA3 is related to mitochondrial metabolism and is involved in immune responses. Here, we used Gsdma3 KO mice to examine the effect of GSDMA3 on B cells. The results demonstrated that GSDMA3 deficiency reprogrammed B cell metabolism, evidenced by upregulating PI3K-Akt-mTOR signaling, along with elevated ROS reproduction and reduced maximal oxygen consumption rate in mitochondria. Moreover, the BCR signaling in the KO B cells was impaired. The reduced BCR signaling was associated with decreased BCR clustering, caused by inhibited activation of WASP. However, GSDMA3 deficiency had no effects on B cell development and functions in humoral immunity, which might be associated with the compensation of upregulated GSDMA2 expression and the fine balance between PI3K signaling and BCR signals interaction. Our observations reveal a previously unknown influence of GSDMA3 on B cells under physiological and immunized states.

AbstractTo increase the imaging resolution and detection capability, the field strength of static magnetic fields (SMFs) in magnetic resonance imaging (MRI) has significantly increased in the past few decades. However, research on the side effects of high magnetic field is still very inadequate and the effects of SMF above 1 T (Tesla) on B cells have never been reported. Here, we show that 33.0 T ultra‐high SMF exposure causes immunosuppression and disrupts B cell differentiation and signaling. 33.0 T SMF treatment resulted in disturbance of B cell peripheral differentiation and antibody secretion and reduced the expression of IgM on B cell membrane, and these might be intensity dependent. In addition, mice exposed to 33.0 T SMF showed inhibition on early activation of B cells, including B cell spreading, B cell receptor clustering and signalosome recruitment, and depression of both positive and negative molecules in the proximal BCR signaling, as well as impaired actin reorganization. Sequencing and gene enrichment analysis showed that SMF stimulation also affects splenic B cells' transcriptome and metabolic pathways. Therefore, in the clinical application of MRI, we should consider the influence of SMF on the immune system and choose the optimal intensity for treatment.

Background and objective: The stage of patients' rehabilitation from medical environment to home environment after discharge is called transition period. It is very important to give patients active and effective care during the transition period to promote their rehabilitation. In China, most of the caregivers of enterostomy patients are elderly. This study mainly explores the status quo of caregivers' transitional care ability for elderly enterostomy patients and analyzes its influencing factors. Methods : From January 2022 to February 2023, the caregivers of elderly patients with enterostomy in 4 Class ⅲ Grade A hospitals in Wuhan were recruited and investigated with the general information questionnaire and the Family Caregiver Ability Scale. Results The total score of caregiving ability of elderly caregivers was 30.58±1.32, which was at a low level. There was a significant correlation between the caregiver's age, education level, duration of care, assisting the caregiver, and whether the patient had stoma complications and their caring ability. Conclusions The care ability of elderly caregivers during the transitional period of enterostomy is low. We should pay attention to the continuity of care services during the transitional period of discharge, and take targeted interventions combined with the needs and influencing factors of elderly caregivers to promote their care ability.

Background:Quantitative assessment of the risk of local transmission from imported dengue cases makes a great challenge to the development of public health in China. The purpose of this study is to observe the risk of mosquito-borne transmission in Xiamen City through ecological and insecticide resistance monitoring. Quantitative evaluation of mosquito insecticide resistance, community population and the number of imported cases affecting the transmission of dengue fever (DF) in Xiamen was carried out based on transmission dynamics model, so as to reveal the correlation between key risk factors and DF transmission.Methods:Based on the dynamics model and combined with the epidemiological characteristics of DF in Xiamen City, a transmission dynamics model was built to simulate the secondary cases caused by imported cases to evaluate the transmission risk of DF, and to explore the influence of mosquito insecticide resistance, community population and imported cases on the epidemic situation of DF in Xiamen City.Results:For the transmission model of DF, when the community population is between 10,000 and 25,000, changing the number of imported DF cases and the mortality rate of mosquitoes will have an impact on the spread of indigenous DF cases, however, changing the birth rate of mosquitoes did not gain more effect on the spread of local DF transmission.Conclusions:Through the quantitative evaluation of the model, this study determined that the mosquito resistance index has an important influence on the local transmission of dengue fever caused by imported cases in Xiamen, and the Brayton index can also affect the local transmission of the disease.

Mathematical models have played an important role in the management of the coronavirus disease 2019 (COVID-19) pandemic. The aim of this review is to describe the use of COVID-19 mathematical models, their classification, and the advantages and disadvantages of different types of models. We conducted subject heading searches of PubMed and China National Knowledge Infrastructure with the terms "COVID-19," "Mathematical Statistical Model," "Model," "Modeling," "Agent-based Model," and "Ordinary Differential Equation Model" and classified and analyzed the scientific literature retrieved in the search. We categorized the models as data-driven or mechanism-driven. Data-driven models are mainly used for predicting epidemics, and have the advantage of rapid assessment of disease instances. However, their ability to determine transmission mechanisms is limited. Mechanism-driven models include ordinary differential equation (ODE) and agent-based models. ODE models are used to estimate transmissibility and evaluate impact of interventions. Although ODE models are good at determining pathogen transmission characteristics, they are less suitable for simulation of early epidemic stages and rely heavily on availability of first-hand field data. Agent-based models consider influences of individual differences, but they require large amounts of data and can take a long time to develop fully. Many COVID-19 mathematical modeling studies have been conducted, and these have been used for predicting trends, evaluating interventions, and calculating pathogen transmissibility. Successful infectious disease modeling requires comprehensive considerations of data, applications, and purposes.

Background Recently, despite the steady decline in the tuberculosis (TB) epidemic globally, school TB outbreaks have been frequently reported in China. This study aimed to quantify the transmissibility of Mycobacterium tuberculosis (MTB) among students and non-students using a mathematical model to determine characteristics of TB transmission. Methods We constructed a dataset of reported TB cases from four regions (Jilin Province, Xiamen City, Chuxiong Prefecture, and Wuhan City) in China from 2005 to 2019. We classified the population and the reported cases under student and non-student groups, and developed two mathematical models [nonseasonal model (Model A) and seasonal model (Model B)] based on the natural history and transmission features of TB. The effective reproduction number ( R eff ) of TB between groups were calculated using the collected data. Results During the study period, data on 456,423 TB cases were collected from four regions: students accounted for 6.1% of cases. The goodness-of-fit analysis showed that Model A had a better fitting effect ( P < 0.001). The average R eff of TB estimated from Model A was 1.68 [interquartile range (IQR): 1.20–1.96] in Chuxiong Prefecture, 1.67 (IQR: 1.40–1.93) in Xiamen City, 1.75 (IQR: 1.37–2.02) in Jilin Province, and 1.79 (IQR: 1.56–2.02) in Wuhan City. The average R eff of TB in the non-student population was 23.30 times (1.65/0.07) higher than that in the student population. Conclusions The transmissibility of MTB remains high in the non-student population of the areas studied, which is still dominant in the spread of TB. TB transmissibility from the non-student-to-student-population had a strong influence on students. Specific interventions, such as TB screening, should be applied rigorously to control and to prevent TB transmission among students. Graphical Abstract

Background There is still a relatively serious disease burden of infectious diseases and the warning time for different infectious diseases before implementation of interventions is important. The logistic differential equation models can be used for predicting early warning of infectious diseases. The aim of this study is to compare the disease fitting effects of the logistic differential equation (LDE) model and the generalized logistic differential equation (GLDE) model for the first time using data on multiple infectious diseases in Jilin Province and to calculate the early warning signals for different types of infectious diseases using these two models in Jilin Province to solve the disease early warning schedule for Jilin Province throughout the year. Methods Collecting the incidence of 22 infectious diseases in Jilin Province, China. The LDE and GLDE models were used to calculate the recommended warning week (RWW), the epidemic acceleration week (EAW) and warning removed week (WRW) for acute infectious diseases with seasonality, respectively. Results Five diseases were selected for analysis based on screening principles: hemorrhagic fever with renal syndrome (HFRS), shigellosis, mumps, Hand, foot and mouth disease (HFMD), and scarlet fever. The GLDE model fitted the above diseases better (0.80 ≤ R 2 ≤ 0.94, P < 0. 005) than the LDE model. The estimated warning durations (per year) of the LDE model for the above diseases were: weeks 12–23 and 40–50; weeks 20–36; weeks 15–24 and 43–52; weeks 26–34; and weeks 16–25 and 41–50. While the durations of early warning (per year) estimated by the GLDE model were: weeks 7–24 and 36–51; weeks 13–37; weeks 11–26 and 39–54; weeks 23–35; and weeks 12–26 and 40–50. Conclusions Compared to the LDE model, the GLDE model provides a better fit to the actual disease incidence data. The RWW appeared to be earlier when estimated with the GLDE model than the LDE model. In addition, the WRW estimated with the GLDE model were more lagged and had a longer warning time.

Enterovirus A71 (EV-A71)-related hand, foot, and mouth disease (HFMD) imposes a substantial clinical burden in the Asia Pacific region. To inform policy on the introduction of the EV-A71 vaccine into the National Immunization Programme, we investigated the seroepidemiological characteristics of EV-A71 in two prospective cohorts of children in southern China conducted between 2013 and 2018. Our results show that maternal antibody titres declined rapidly in neonates, with over half becoming susceptible to EV-A71 at 1 month of age. Between 6 months and 2 years of age, over 80% of study participants were susceptible, while one third remained susceptible at 5 years old. The highest incidence of EV-A71 infections was observed in children aged 5-6 months. Our findings support EV-A71 vaccination before 6 months for birth cohorts in southern China, potentially with a one-time catch-up vaccination for children 6 months-5 years old. More regionally representative longitudinal seroepidemiological studies are needed to further validate these findings.

Abstract Background Severe fever with thrombocytopenia syndrome (SFTS), one kind of tick-borne acute infectious disease, is caused by a novel bunyavirus. The relationship between meteorological factors and infectious diseases is a hot topic of current research. Liaoning Province has reported a high incidence of SFTS in recent years. However, the epidemiological characteristics of SFTS and its relationship with meteorological factors in the province remain largely unexplored. Methods Data on reported SFTS cases were collected from 2011 to 2019. Epidemiological characteristics of SFTS were analyzed. Spearman’s correlation test and generalized linear models (GLM) were used to identify the relationship between meteorological factors and the number of SFTS cases. Results From 2011 to 2019, the incidence showed an overall upward trend in Liaoning Province, with the highest incidence in 2019 (0.35/100,000). The incidence was slightly higher in males (55.9%, 438/783), and there were more SFTS patients in the 60–69 age group (31.29%, 245/783). Dalian City and Dandong City had the largest number of cases of SFTS (87.99%, 689/783). The median duration from the date of illness onset to the date of diagnosis was 8 days [interquartile range (IQR): 4–13 days]. Spearman correlation analysis and GLM showed that the number of SFTS cases was positively correlated with monthly average rainfall (r s = 0.750, P < 0.001; β = 0.285, P < 0.001), monthly average relative humidity (r s = 0.683, P < 0.001; β = 0.096, P < 0.001), monthly average temperature (r s = 0.822, P < 0.001; β = 0.154, P < 0.001), and monthly average ground temperature (r s = 0.810, P < 0.001; β = 0.134, P < 0.001), while negatively correlated with monthly average air pressure (r s = −0.728, P < 0.001; β = −0.145, P < 0.001), and monthly average wind speed (r s = −0.272, P < 0.05; β = −1.048, P < 0.001). By comparing both correlation coefficients and regression coefficients between the number of SFTS cases (dependent variable) and meteorological factors (independent variables), no significant differences were observed when considering immediate cases and cases with lags of 1 to 5 weeks for dependent variables. Based on the forward and backward stepwise GLM regression, the monthly average air pressure, monthly average temperature, monthly average wind speed, and time sequence were selected as relevant influences on the number of SFTS cases. Conclusion The annual incidence of SFTS increased year on year in Liaoning Province. Incidence of SFTS was affected by several meteorological factors, including monthly average air pressure, monthly average temperature, and monthly average wind speed. Graphical Abstract

AbstractBackgroundCCR2 is involved in maintaining immune homeostasis and regulating immune function. This study aims to elucidate the mechanism by which CCR2 regulates B‐cell signalling.MethodsIn Ccr2‐knockout mice, the development and differentiation of B cells, BCR proximal signals, actin movement and B‐cell immune response were determined. Besides, the level of CCR2 in PBMC of SLE patients was analysed by bioinformatics.ResultsCCR2 deficiency reduces the proportion and number of follicular B cells, upregulates BCR proximal signalling and enhances the oxidative phosphorylation of B cells. Meanwhile, increased actin filaments aggregation and its associated early‐activation events of B cells are also induced by CCR2 deficiency. The MST1/mTORC1/STAT1 axis in B cells is responsible for the regulation of actin remodelling, metabolic activities and transcriptional signalling, specific MST1, mTORC1 or STAT1 inhibitor can rescue the upregulated BCR signalling. Glomerular IgG deposition is obvious in CCR2‐deficient mice, accompanied by increased anti‐dsDNA IgG level. Additionally, the CCR2 expression in peripheral B cells of SLE patients is decreased than that of healthy controls.ConclusionsCCR2 can utilise MST1/mTORC1/STAT1 axis to regulate BCR signalling. The interaction between CCR2 and BCR may contribute to exploring the mechanism of autoimmune diseases.

Introduction: Modeling on infectious diseases is significant to facilitate public health policymaking. There are two main mathematical methods that can be used for the simulation of the epidemic and prediction of optimal early warning timing: the logistic differential equation (LDE) model and the more complex generalized logistic differential equation (GLDE) model. This study aimed to compare and analyze these two models. Methods: We collected data on (coronavirus disease 2019) COVID-19 and four other infectious diseases and classified the data into four categories: different transmission routes, different epidemic intensities, different time scales, and different regions, using R-2 to compare and analyze the goodness-of-fit of LDE and GLDE models. Results: Both models fitted the epidemic curves well, and all results were statistically significant. The R-2 test value of COVID-19 was 0.924 (p < 0.001) fitted by the GLDE model and 0.916 (p < 0.001) fitted by the LDE model. The R-2 test value varied between 0.793 and 0.966 fitted by the GLDE model and varied between 0.594 and 0.922 fitted by the LDE model for diseases with different transmission routes. The R-2 test values varied between 0.853 and 0.939 fitted by the GLDE model and varied from 0.687 to 0.769 fitted by the LDE model for diseases with different prevalence intensities. The R-2 test value varied between 0.706 and 0.917 fitted by the GLDE model and varied between 0.410 and 0.898 fitted by the LDE model for diseases with different time scales. The GLDE model also performed better with nation-level data with the R-2 test values between 0.897 and 0.970 vs. 0.731 and 0.953 that fitted by the LDE model. Both models could characterize the patterns of the epidemics well and calculate the acceleration weeks. Conclusion: The GLDE model provides more accurate goodness-of-fit to the data than the LDE model. The GLDE model is able to handle asymmetric data by introducing shape parameters that allow it to fit data with various distributions. The LDE model provides an earlier epidemic acceleration week than the GLDE model. We conclude that the GLDE model is more advantageous in asymmetric infectious disease data simulation.