With the rapid development of mobile internet technology, mobile health application (mHealth APP) are increasingly widely used in the field of health management and have been proven to play an important role in the management of chronic diseases. Solid organ transplant recipients face complex health management needs after surgery, including postoperative follow-up, medication management, prevention and treatment of complications and comorbidities, and lifestyle adjustment. mHealth APP can provide solid organ transplant recipients with convenient self-management tools. Although some progress has been made in this field, there are still many challenges, such as insufficient user experience, technological dependence, and data security risks. Therefore, this article discusses the development process, main functions and current application status of mHealth APP, and analyzes its advantages in improving the self-management ability of solid organ transplant recipients, promoting doctor-patient communication and reducing the incidence of complications. At the same time, based on the practical experience of author’s team in developing the “TransMate” mHealth APP, we propose the directions that mHealth APPs should focus on in the future, in order to provide more effective support and services for the health management of solid organ transplant recipients.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.

Aim To explore the potential genes and mechanism of alisol B in the treatment of non-small cell lung cancer(NSCLC).Methods The proliferation and migration of NSCLC cells were detected by CCK-8 and Transwell.Genes of NSCLC and alisol B were col-lected through TCGA and compound gene prediction database,and their intersection genes were obtained.The network of protein-protein interaction(PPI)was constructed by using String database,and the top 20 key nodes were screened out,and the prognosis-related proteins related to the prognosis of NSCLC were screened out by using R language,and the intersection of them was obtained.The potential mechanism of ali-sol B on NSCLC was explored by KEGG and GO en-richment analysis and the relationship between related genes and immune cells,which was verified by cell-lev-el experiments.Results Alisol B inhibited the cell activity and migration ability of NSCLC cells.Five im-portant genes were identified by network pharmacologi-cal analysis:CCNE1,CDK1,COL1A1,COL1A2 and COL3A1.The results of cell experiment showed that al-isol B down-regulated the expression of Cyclin E1,CDK1 and COL1A2 in NSCLC cells.In addition,alisol B could inhibit the expression of COL1A2 and M2 macrophage marker CD206 in macrophages.Conclu-sions Alisol B may inhibit the proliferation of tumor cells by down-regulating CDK1 and Cyclin E1,and may affect the function of macrophages by inhibiting COL1A2,thus regulating the tumor immune microenvi-ronment and inhibiting NSCLC.

This study was aimed at understanding the molecular characteristics of Plasmodium ovale curtisi and Plasmodi-um ovale wallikeri imported cases in Chongqing,to provide data to support monitoring and control efforts.In a retrospective analysis,26 Plasmodium ovale archival blood samples were characterized with respect to five molecular markers(Cox1,Cytb,Tra,Dhfr,and K13)from 2013 to 2023.PCR amplification of partial fragments of the Cox1,Cytb,and Tra genes of Plas-modium ovale was performed to distinguish the two subspecies.The drug-resistance Dhfr and K13 genes of Plasmodium ovale were amplified with PCR assays followed by DNA sequencing,and the sequences were aligned.The differentiation of 26 cases of Plasmodium ovale(14 cases of curtisi subspecies and 12 cases of wallikeri subspecies)according to ssrRNA was consistent with the classification results of Cox1,Cytb,and TRA genes.Thirteen single nucleotide dimorphism sites were identified in Cox 1,including the 145 and 153 loci,with only variations in amino acids M176I and I288V at loci 528 and 862,and N337H mutation in one sample.Twelve base substitutions were found among Cytb gene subspecies,with only the M248I mutation in amino acid 248.A total of 49 nucleotide dimorphism sites in Tra gene,resulting in 18 amino acid mutations,were identified be-tween the two subspecies.In the curtisi type sample,the poc1 type had more PINTINPINTIN and TITPIS amino acid units than the poc2 type.The mutation rate of the Dhfr gene was rel-atively high:25％of the samples showed S58R mutations.The K13 gene subspecies was not homozygous,and one sample was heterozygous.This study confirmed the dimorphism and mutation sites between Plasmodium ovale curtisi and wallikeri sub-species in Cox1,Cytb,Tra,Dhfr,and K13 gene fragments of imported Plasmodium ovale in Chongqing,thus enriching knowledge regarding gene polymorphisms in Plasmodium ovale curtisi and wallikeri imported cases.

Objective:To evaluate the clinical and prognostic value of prothrombin time(PT)and activated partial thromboplastin time(APTT)in newly diagnosed patients with multiple myeloma(MM).Methods:The clinical data of 116 newly diagnosed MM patients in the Second Hospital and Third Hospital of Shanxi Medical University from October 2014 to March 2022 were analyzed retrospectively,and the patients were divided into two groups:normal PT and APTT group and prolonged PT or APTT group.The differences in sex,age,classification,staging,bleeding events,laboratory indicators[including hemoglobin(Hb),platelet count(PLT),serum calcium,serum albumin(ALB),lactate dehydrogenase(LDH),serum creatinine and β 2-microglobulin],and cytogenetic characteristics between the two groups of patients were compared.The effect of prolonged PT or APTT on survival of patients with MM was analyzed.Results:Compared with patients in normal PT and APTT group,patients in prolonged PT or APTT group were more likely to experience bleeding events(x2=5.087,P=0.024),with lower ALB levels(x2=4.962,P=0.026)and PLT levels(x2=4.309,P=0.038),and higher serum calcium levels(x2=5.056,P=0.025).The positive rates of del17p,del13q and 1q21+in prolonged PT or APTT group were higher than those in normal PT and APTT group,but the difference was not statistically significant(P＞0.05).K-M survival analysis showed that the prolonged PT or APTT group had a shorter median progression-free survival(PFS)(P=0.032)and overall survival(OS)(P=0.032).Multivariate Cox analysis showed that prolonged PT or APTT(HR=2.1 16,95％CI:1.025-4.372,P=0.043)and age ≥65 years(HR=2.403,95％CI:1.195-4.836,P=0.014)were independent risk factor for OS in newly diagnosed MM patients.However,prolonged PT or APTT had no significant effect on PFS of newly diagnosed MM patients(HR=1.162,95％CI:0.666-2.026,P=0.597).Conclusion:Newly diagnosed MM patients with prolonged PT or APTT have worse clinical indicators,shorter PFS and OS.Prolonged PT or APTT is an independent risk factor for OS in MM patients.

Objective:To investigate the clinical characteristics and survival analysis of myelodysplastic syndromes(MDS)with RUNX1 gene mutation.Methods:Clinical data of 177 newly diagnosed MDS patients admitted to the Department of Hematology,the Second Affiliated Hospital of Air Force Military Medical University from October 1,2015 to October 31,2022 were retrospectively analyzed.Gene mutation detection was performed by second-generation sequencing technology,and clinical characteristics and prognosis of patients with RUNX1 gene mutation were analyzed.Results:A total of 30 cases(16.95％)of RUNX1 gene mutations were detected,including 15 missense mutations(50.0％),9 frameshift deletion mutations(30.0％),4 splice site mutations(13.3％),1 insertion mutation(3.3％),and 1 nonsense mutation(3.3％).Patients with RUNX1 mutations had a median age of 68.5 years at diagnosis(range:62.25-78.50 years old).There were no significantly differences between RUNX1 mutations and wild type patients in age distribution,gender,peripheral blood white blood cell count,hemoglobin level,bone marrow and peripheral blood blasts ratio,IPSS-R cytogenetics,IPSS-R stage,etc.(P＞0.05).However,there were statistically significant differences in platelet count and whether complicated karyotype.Compared with patients without RUNX1 gene mutation,patients with RUNX1 gene mutation had lower platelet count(P=0.018),and were less likely to have complicated karyotype at initial diagnosis(P=0.01).Cox proportional hazards model analysis showed that when other co variates remained unchanged,the higher the platelet count,the better the survival of patients(HR=0.995,95％CI:0.990-0.999,P=0.036);In the IPSS-M prognostic stratification,keeping other covariates unchanged,the risk of progression or death of myelodysplastic syndrome was significantly lower in the medium to high-risk and low-risk groups compared with the high-risk group(HR=0.149,95％CI:0.031-0.721,P=0.018;HR=0.026,95％CI:0.003-0.234,P=0.001).Survival analysis showed that MDS patients with RUNX1 gene mutation had worse overall survival time(P＜0.001).Patients with RUNX1 mutation had worse OS than non-mutation patients in the early WHO group.RUNX1 mutation and IPSS-M risk stratification mean OS and mean LFS were worse in low-risk patients than in non-mutated patients.Conclusion:RUNX1 gene mutation is an adverse prognostic factor in MDS patients,especially in the IPSS-M prognosis stratification group of low-risk,medium-low risk,medium-high risk and WHO classification of early patients.