OBJECTIVE: To screen factors affecting the prognosis of chronic myeloid leukemia (CML) patients, and construct a nomogram model for event-free survival (EFS). METHODS: To screen out meaningful variables by univariate and multivariate Cox regression analysis in CML patients, and construct a nomogram model using R software. The nomogram was validated using consistency index (C-index), receiver operating characteristic (ROC) curve, area under the ROC curve (AUC), calibration curve, decision curve analysis (DCA), and risk stratification analysis. RESULTS: This study analyzed data from 116 CML patients. Univariate and multivariate Cox regression analysis demonstrated that age, peripheral blood basophil percentage, BCR-ABL1 ^IS at 3 months, and red blood cell distribution width (RDW) were independent prognostic factors of EFS. Subsequently, a nomogram was constructed based on the above predictors. The C-index of the nomogram was 0.733(95%CI : 0.676-0.790). The AUC values for predicting 1-, 3-, and 5-year EFS rate were 0.765, 0.855, and 0.827, respectively. The results of the calibration curve and DCA curve showed that the predictive model had good consistency, as well as strong clinical utility. The patients were stratified into high-risk group and low-risk group based on the total score of the model, there was a significant difference in EFS between the two groups (P < 0.001). CONCLUSION Age, peripheral blood basophil percentage, BCR-ABL1 ^IS at 3 months, and RDW were associated with the prognosis of CML patients. The nomogram model constructed in this study can accurately predict the prognostic status of CML patients, but its widespread application still requires external and prospective validation.
Nomograms ; Leukemia, Myelogenous, Chronic, BCR-ABL Positive/mortality* ; Proportional Hazards Models ; Erythrocyte Indices ; Risk Assessment/methods* ; Fusion Proteins, bcr-abl/genetics* ; Basophils ; Leukocyte Count ; Humans

Although a single nucleotide polymorphism for N-acetyltransferase 10 (NAT10) has been identified in patients with early-onset stroke, the role of NAT10 in ischemic injury and the related underlying mechanisms remains elusive. Here, we provide evidence that NAT10, the only known RNA N4-acetylcytidine (ac4C) modification "writer", is increased in the damaged cortex of patients with acute ischemic stroke and the peri-infarct cortex of mice subjected to photothrombotic (PT) stroke. Pharmacological inhibition of NAT10 with remodelin on Days 3-7 post-stroke or astrocytic depletion of NAT10 via targeted virus attenuates ischemia-induced infarction and improves functional recovery in PT mice. Mechanistically, NAT10 enhances ac4C acetylation of the inflammatory cytokine tissue inhibitor of metalloproteinase 1 (Timp1) mRNA transcript, which increases TIMP1 expression and results in the accumulation of microtubule-associated protein 1 light chain 3 (LC3) and progression of astrocyte autophagy. These findings demonstrate that NAT10 regulates astrocyte autophagy by targeting Timp1 ac4C after stroke. This study highlights the critical role of ac4C in the regulation of astrocyte autophagy and proposes a promising strategy to improve post-stroke outcomes via NAT10 inhibition.

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BACKGROUND: The use of inserted sham acupuncture as a placebo in randomized controlled trials (RCTs) is controversial, because it may produce specific effects that cause an underestimation of the effect of acupuncture treatment. OBJECTIVE: This systematic survey investigates the magnitude of insert-specific effects of sham acupuncture and whether they affect the estimation of acupuncture treatment effects. SEARCH STRATEGY: PubMed, Embase and Cochrane Central Register of Controlled Trials were searched to identify acupuncture RCTs from their inception until December 2022. INCLUSION CRITERIA: RCTs that evaluated the effects of acupuncture compared to sham acupuncture and no treatment. DATA EXTRACTION AND ANALYSIS: The total effect measured for an acupuncture treatment group in RCTs were divided into three components, including the natural history and/or regression to the mean effect (controlled for no-treatment group), the placebo effect, and the specific effect of acupuncture. The first two constituted the contextual effect of acupuncture, which is mimicked by a sham acupuncture treatment group. The proportion of acupuncture total effect size was considered to be 1. The proportion of natural history and/or regression to the mean effect (PNE) and proportional contextual effect (PCE) of included RCTs were pooled using meta-analyses with a random-effect model. The proportion of acupuncture placebo effect was the difference between PCE and PNE in RCTs with non-inserted sham acupuncture. The proportion of insert-specific effect of sham acupuncture (PIES) was obtained by subtracting the proportion of acupuncture placebo effect and PNE from PCE in RCTs with inserted sham acupuncture. The impact of PIES on the estimation of acupuncture's treatment effect was evaluated by quantifying the percentage of RCTs that the effect of outcome changed from no statistical difference to statistical difference after removing PIES in the included studies, and the impact of PIES was externally validated in other acupuncture RCTs with an inserted sham acupuncture group that were not used to calculate PIES. RESULTS: This analysis included 32 studies with 5492 patients. The overall PNE was 0.335 (95% confidence interval [CI], 0.255-0.415) and the PCE of acupuncture was 0.639 (95% CI, 0.567-0.710) of acupuncture's total effect. The proportional contribution of the placebo effect to acupuncture's total effect was 0.191, and the PIES was 0.189. When we modeled the exclusion of the insert-specific effect of sham acupuncture, the acupuncture treatment effect changed from no difference to a significant difference in 45.45% of the included RCTs, and in 40.91% of the external validated RCTs. CONCLUSION The insert-specific effect of sham acupuncture in RCTs represents 18.90% of acupuncture's total effect and significantly affects the evaluation of the acupuncture treatment effect. More than 40% of RCTs that used inserted sham acupuncture would draw different conclusions if the PIES had been controlled for. Considering the impact of the insert-specific effect of sham acupuncture, caution should be taken when using inserted sham acupuncture placebos in RCTs. Please cite this article as: Luo XC, Liu JL, Yao MH, Chen YM, Fan AY, Liang FR, Zhao JP, Zhao L, Zhou X, Zhong XY, Yang JH, Li B, Zhang Y, Sun X, Li L. Specific effect of inserted sham acupuncture and its impact on the estimation of acupuncture treatment effect in randomized controlled trials: A systematic survey. J Integr Med. 2025; 23(6):630-640.
Acupuncture Therapy/methods* ; Humans ; Randomized Controlled Trials as Topic ; Placebo Effect ; Placebos ; Treatment Outcome

Background Chronic intermittent hypobaric hypoxia (CIHH) can effectively alleviate type 2 diabetes mellitus (T2DM). In this process, the underlying mechanism in its association with the epigenetic regulation of DNA methylation in the promoter regions of glucose metabolism key enzyme genes remains unclear yet. Objective To investigate the effects of CIHH on expression and promoter region methylation of key enzyme genes related to glucose metabolism in diabetes mice, and to explore the underlying mechanism by which CIHH regulates glucose metabolism. Methods Forty C57BL/6J male mice were divided randomly into a normobaric normoxic control (NN/CON) group, a chronic intermittent hypobaric hypoxia intervention control (CIHH/CON) group, a normobaric normoxic diabetic model (NN/DM) group, and a chronic intermittent hypobaric hypoxia intervention diabetic model (CIHH/DM) group. The mice in the NN/DM and the CIHH/DM groups were fed for 7 weeks with high-fat and high-sugar diet. Subsequently, these mice were intraperitoneally injected consecutively with 50 mmol·L⁻¹ streptozotocin (STZ) for 5 d at a dose of 40 mg·kg⁻¹ (body weight) per day to create T2DM model mice. The mice in the CIHH/DM and the CIHH/CON groups were intervened by simulating hypobaric hypoxia at 5000 m altitude for 6 h per day, while the mice in the NN/DM and the NN/CON groups were always placed in a normobaric normoxic environment. All mice were continuously treated for 4 weeks, and blood glucose were monitored during this period. After the CIHH intervention experiment, the glucose tolerance and insulin sensitivity of mice were evaluated. A set of indicators involved in key glycolytic enzymes glucokinase (GK) and pyruvate kinase (PK), as well as key gluconeogenic enzymes phosphoenolpyruvate carboxyl kinase (PEPCK) and glucose-6-phosphatase (G6P) were measured in the liver of mice, including enzyme activity, relative mRNA expression level, and DNA methylation level in the gene promoter regions. Results Compared with the mice in the NN/DM group, the blood glucose levels of the mice in the CIHH/DM group decreased after the 25^th day of the CIHH intervention (P<0.05). Regarding the diabetic glucose tolerance curves, the area under the curve (AUC) of the mice in the CIHH/DM group was lower than that of the NN/DM group (P<0.05). Compared with the mice in the NN/DM group, the mice in the CIHH/DM group showed that the serum insulin content and HOMA of insulin resistance index (HOMA-IRI) decreased (P<0.05), the enzyme activities of GK and PK increased and the relative mRNA expression levels of their genes were up-regulated (P<0.05), while the enzyme activities of PEPCK and G6P decreased and the relative mRNA expression levels of their genes were down-regulated (P<0.05) in liver. The average DNA methylation levels in the promoter regions of GK, PK, PEPCK, and G6P genes in liver of mice in each group were not significantly different (P>0.05), and their correlations with mRNA expression levels were also not statistically significant (P>0.05). Conclusion CIHH intervention may reduce blood glucose level, improve glucose tolerance, alleviate insulin resistance, and regulate the key enzyme activities of glucose metabolism and the relative mRNA expression of their corresponding genes in T2DM mice, but the above phenomena are not related to the DNA methylation levels in the promoter regions of these key enzymes.