Objective To explore scientific and accurate prediction methods for the incidence of hand, foot, and mouth disease in the post-pandemic era, and to address modeling challenges caused by abnormal fluctuations in case numbers from 2020 to 2023. Methods The seasonal index was used to pre-process the data. The traditional seasonal autoregressive integrated moving average (SARIMA) model, singular spectrum analysis (SSA)-ARIMA model, ARIMA-Long short-term memory (LSTM) model, and SSA-ARIMA-LSTM model were used to fit the incidence from 2013 to 2023, and the incidence of hand, foot and mouth disease in 2024 was predicted. The real data collected in 2024 were used as the test set to compare the prediction performance of the models. Results The fitting performance of the constructed models was as follows: the ARIMA model had MAE=107.50 and RMSE=144.53, the SSA-ARIMA model showed MAE=2.84 and RMSE=4.33, the ARIMA-LSTM model achieved MAE=99.46 and RMSE=131.59, and the SSA-ARIMA-LSTM model had MAE=96.35 and RMSE=132.13. In terms of prediction performance, the ARIMA model resulted in MAE=151.64 and RMSE=146.70, the SSA-ARIMA model demonstrated MAE=41.22 and RMSE=57.01, the ARIMA-LSTM model yielded MAE=220.75 and RMSE=257.89, and the SSA-ARIMA-LSTM model recorded MAE=58.83 and RMSE=72.06. Conclusion The SSA-ARIMA model has the best fitting degree and the highest prediction accuracy, and is suitable for predicting the incidence trend of hand, foot and mouth disease.

Objective To investigate the clinical features of dyskinesia and related risk factors in female patients with Parkinson disease （PD）. Methods A cross-sectional study was conducted among the female patients who met the diagnostic criteria for PD at the outpatient service of PD in Aerospace Center Hospital， and demographic data and clinical data were collected and compared between groups， including levodopa equivalent daily dose （LEDD）， Unified Parkinson’s Disease Rating Scale-Ⅲ（UPDRS-Ⅲ）， UPDRS-Ⅳ， scores of non-motor symptoms （cognition and depression）， presence or absence of dyskinesia， and single levodopa dose （LD） during the onset of dyskinesia. A binary logistic regression analysis was used to investigate the influencing factors for dyskinesia in female patients with PD. Results A total of 146 female PD patients were enrolled， among whom 30 patients had dyskinesia， with an incidence rate of 20.5%. Compared with the non-dyskinesia group in terms of clinical features， the dyskinesia group had a significantly younger age of onset [（54.3±12.5） years vs （62.7±10.0） years， P<0.001]， a significantly longer disease duration [（9.9±3.7） years vs （4.5±3.7） years， P<0.001]， a significantly higher severity of disease [H-Y stage： （2.65±0.58） vs （2.35±0.83）， P=0.03]， a significantly longer duration of LD administration [（7.5±3.2） years vs （3.2±2.6） years， P<0.001]， a significantly higher LEDD [（703.2±203.9） mg vs （442.1±226.3） mg， P<0.001]， and significantly lower body weight [（54.1±8.2） kg vs （60.0±8.7） kg， P=0.001] and BMI [（20.9±3.1） kg/m2 vs （23.4±3.1） kg/m2， P<0.001]. The multivariate logistic regression analysis showed that high BMI （OR=0.770， P=0.005） was a protective factor against dyskinesia in female PD patients， while long disease duration （OR=1.304， P=0.001） and high LEDD （OR=1.003， P=0.012） were risk factors for dyskinesia. Conclusion There is a relatively high incidence rate of dyskinesia in female PD patients， which should be taken seriously in clinical practice， and high BMI is a protective factor， while long disease duration and high LEDD are risk factors for dyskinesia in female PD patients.
Parkinson Disease ; Dyskinesias ; Levodopa

To analyze the distribution of serotypes and antimicrobial resistance of clinical Salmonella isolates from multiple centers across China.

Although enteric glial cell (EGC) abnormal activation is reported to be involved in the pathogenesis of Parkinson's disease (PD), and inhibition of EGC gliosis alleviated gut and dopaminergic neuronal dysfunction was verified in our previous study, the potential role of gut microbiota on EGC function in PD still need to be addressed. In the present study, fecal microbiota transplantation revealed that EGC function was regulated by gut microbiota. By employing 16S rRNA and metabolomic analysis, we identified that 3-indolepropionic acid (IPA) was the most affected differential microbial metabolite that regulated EGC gliosis. The protective effects of IPA on PD were validated in rotenone-stimulated EGCs and rotenone (30 mg/kg i.g. for 4 weeks)-induced PD mice, as indicated by decreased inflammation, improved intestinal and brain barrier as well as dopaminergic neuronal function. Mechanistic study showed that IPA targeted pregnane X receptor (PXR) in EGCs, and inhibition of IL-13Rα1 involved cytokine-cytokine receptor interaction pathway, leading to inactivation of downstream JAK1-STAT6 pathway. Our data not only provided evidence that EGC gliosis was critical in spreading intestinal damage to brain, but also highlighted the potential role of microbial metabolite IPA in alleviating PD pathological damages through gut-brain axis.

[This corrects the article DOI: 10.1016/j.apsb.2025.02.029.].

Palmitoylation, an essential covalent attachment of a fatty acid (usually C16 palmitate) to cysteine residues within proteins, is crucial for regulating protein functionality and enzymatic activities. This lipid modification facilitates the anchoring of proteins to cellular membranes, dictating their subcellular distribution and influencing protein transport dynamics and intracellular positioning. Additionally, it plays a role in regulating protein degradation through the ubiquitin-proteasome system. Palmitoylation is implicated in the pathogenesis and progression of cardiovascular diseases by modulating substrates and prompting additional post-translational modifications, as well as by interacting with other molecular alterations. Moreover, an intervention strategy focusing on palmitoylation processes is anticipated to offer novel therapeutic avenues for cardiovascular pathologies and address extant challenges in clinical settings. This review consolidates current research on the role and importance of palmitoylation in cardiovascular diseases by exploring its regulatory functions, the catalyzing enzymes, and the involved substrates. It highlights recent discoveries connecting palmitoylation-targeted therapies to cardiovascular health and examines potential approaches and future challenges in cardiovascular treatment.

Objective To analysis the efficacy and safety of antiviral therapy in patients with chronic hepatitis B virus in indeterminate phase based on the new guidelines(2022 Edition of the Guidelines for the Prevention and Treatment of Chronic Hepatitis B).Methods A total of 170 patients with newly diagnosed HBV infection who visited the Third People's Hospital of Kunming from August 1,2020,to July 31,2024,were selected as study subjects.The clinical indicators of patients with normal ALT in the indeterminate phase were analyzed after 12 weeks,24 weeks,and 48 weeks of antiviral treatment,as well as those who did not receive antiviral treatment for 48 weeks.Results(1)Among the 170 patients with normal ALT during the indeterminate phase of HBV infection,the treatment group consisted of 125 patients(36 HBeAg positive and 89 HBeAg negative),while the untreated group had 45 patients.In the treatment group,the HBV-DNA load and HBsAg titer decreased significantly after 48 weeks compared to before treatment,with statistically significant differences(both P<0.05).In the untreated group,the HBV-DNA load showed an upward trend,and the HBsAg titer slightly decreased,with statistically significant differences(both P<0.05).(2)The CVR rate in the treatment group after 48 weeks was 66.67%(24/36)for HBeAg positive patients and 95.51%(85/89)for HBeAg negative patients,with a statistically significant difference(P<0.05).(3)The treatment group showed a significant decrease in GGT and AFP after 48 weeks compared to before treatment,while the untreated group saw an increase in ALT,GGT,and AFP,with statistically significant differences(all P<0.05).(4)The fibrosis indicators APRI,FIB-4,and LSM in the treatment group significantly decreased after 48 weeks compared to before treatment,with statistically significant differences(all P<0.05).(5)The safety indicators CREA,blood calcium,and blood phosphorus in the treatment group significantly decreased after 48 weeks compared to before treatment,with statistically significant differences(all P<0.05).Conclusion Expanding the antiviral treatment indications according to the new guidelines for patients with normal ALT in the indeterminate phase of HBV infection demonstrates good efficacy in controlling HBV-DNA,improving CVR rates,and enhancing fibrosis indicators,while also showing favorable renal safety.However,there may be a risk of osteoporosis due to calcium and phosphorus metabolism disorders,necessitating enhanced monitoring and prevention.

This paper briefly introduces the definition, classification and significance of effect modification in epidemiological studies, summarizes the difference between effect modifier and confounders, and analyze the influence as well as the role of effect modification in epidemiological studies and Meta-analysis. In this paper, the possible scenarios of effect modification and related analysis strategy in Meta-analysis are indicated by graphics, aiming to arouse researchers' attention to effect modification. This paper also demonstrates how to identify and deal with effect modification in Meta-analysis through a study case of "Efficacy of sodium-glucose cotransporter 2 inhibitors in patients with type 2 diabetes", and shows the analysis process and interpretation of results of subgroup analysis and Meta-regression methods respectively. The advantages and disadvantages of these two methods are summarized to provide reference for the method selection of future research.

This paper briefly introduces the characteristics, research significance, and global reporting status of effect modification in network Meta-analysis, demonstrates the heterogeneity caused by effect modification in network Meta-analysis, and emphasizes the importance of exploring effect modification in network Meta-analysis. This paper also summarizes the normalized description and analysis strategies of effect modification in network Meta-analysis. Finally, by the case of "comparison of efficacy of three new hypoglycemic drugs in reducing body weight in type 2 diabetes patients", this paper demonstrates the realization of subgroup analysis and network Meta-regression in exploring effect modification, summarizes the advantages and disadvantages of the two methods, to provide references for future researchers.

Objective:Differences between randomized controlled trial (RCT) results and real world study (RWS) results may not represent a true efficacy-effectiveness gap because efficacy-effectiveness gap estimates may be biased when RWS and RCT differ significantly in study design or when there is bias in RWS result estimation. Secondly, when there is an efficacy- effectiveness gap, it should not treat every patient the same way but assess the real-world factors influencing the intervention's effectiveness and identify the subgroup likely to achieve the desired effect.Methods:Six databases (PubMed, Embase, Web of Science, CNKI, Wanfang Data, and VIP) were searched up to 31 st December 2022 with detailed search strategies. A scoping review method was used to integrate and qualitatively describe the included literature inductively. Results:Ten articles were included to discuss how to use the RCT research protocol as a template to develop the corresponding RWS research protocol. Moreover, based on correctly estimating the efficacy-effectiveness gap, evaluate the intervention effect in the patient subgroup to confirm the subgroup that can achieve the expected benefit-risk ratio to bridge the efficacy-effectiveness gap.Conclusion:Using real-world data to simulate key features of randomized controlled clinical trial study design can improve the authenticity and effectiveness of study results and bridge the efficacy-effectiveness gap.