Objective:To investigate the relationship between dietary behavior and sarcopenia in older adults aged ≥65 years in longevity areas of China based on latent class analysis.Methods:A total of 4 358 older adults aged ≥65 years were selected from the 2021 Healthy Aging and Biomarkers Cohort Study. The information about their demographic characteristics, lifestyles, and chronic disease histories were collected. A simplified food frequency questionnaire was used to collect information about their dietary intake in the last month. The food intake frequency and food category score were calculated, and the higher the food category score, the richer the dietary intake. Latent class analysis was used to identify the latent classes of the dietary behavior. Sarcopenia was diagnosed using the SARC-CalF. Multivariate logistic regression model was used to analyze the association of food category scores and different latent classes of the dietary behavior with the risk for sarcopenia.Results:In 4 358 older adults, 1 841 (42.24%) had sarcopenia. The frequencies of intakes of cereals and potatoes, vegetable and fruit, meat and bean products were lower in the sarcopenia group than in the non-sarcopenia group. The risk for sarcopenia decreased with the increase of food category score in older adults ( OR=0.850, 95% CI: 0.796-0.907). Latent class analysis identified 4 latent classes of the dietary behavior. Compared with those with class 1 (frequency of intake of all 5 food species was higher probability in T3 group), those with class 2 (frequency of intake of vegetables and fruits and energy-only foods were less likely to be in the T3 group) and class 3 (frequency of intake of all 5 food species was lower probability in T3 group) had significantly increased risk for sarcopenia ( OR=1.377, 95% CI: 1.131-1.676) and ( OR=1.354, 95% CI: 1.091-1.680), 37.7% and 35.4% increased risk for sarcopenia, respectively. Conclusion:Increasing dietary intake category and sufficient intake of various foods for a balanced dietary pattern can reduce the risk of sarcopenia in older adults.

Objective:To examine the interaction between gender and the visceral adiposity index (VAI) in relation to the risk of type 2 diabetes mellitus (T2DM).Methods:This retrospective cohort study utilized data from the public Dryad database derived from the NAGALA (NAFLD in the Gifu Area, Longitudinal Analysis) project (1994-2016). Participants were stratified into quartiles based on VAI levels. A multivariate Cox proportional hazards regression model was employed to evaluate whether VAI independently predicts T2DM risk. Kaplan-Meier survival curves and receiver operating characteristic (ROC) curves were constructed for each VAI quartile. Subgroup analyses were conducted to examine associations across age and body mass index categories. Both multiplicative and additive interaction effects between gender and VAI were assessed. Additionally, gender-specific Cox models were fitted to further explore these associations.Results:A total of 15 453 participants [8 419 males and 7 034 females; mean age, (43.7±8.9) years] were included, with a median follow-up duration of 5.39 years. During follow-up, 373 participants (2.4%) developed T2DM. After adjustment for potential confounders, higher VAI levels were independently associated with increased T2DM risk ( HR=1.16; 95% CI 1.11-1.21), consistent with the results across VAI quartiles. Kaplan-Meier analysis revealed a significant trend of increasing T2DM incidence across VAI quartiles ( P<0.001). The area under the ROC curve for VAI in predicting T2DM at 3, 5, and 10 years was 0.755, 0.735, and 0.696, respectively. Sensitivity analyses showed that elevated VAI was associated with increased T2DM risk across all age and body mass index subgroups (all P<0.05). Regarding interaction analysis, the HR (95% CI) for the multiplicative interaction between VAI and gender was 1.22 (1.19-1.26). The relative excess risk of interaction was -1.08 (95% CI -2.96 to -0.06), the attributable proportion of interaction was -0.54 (95% CI -1.35 to -0.01), and the synergy index was 0.48 (95% CI 0.26-0.91), indicating a negative additive interaction. Using low-VAI women as the reference group, the risk of T2DM in high-VAI women was higher ( HR=2.53, 95% CI 1.59-4.02) compared to high-VAI men ( HR=2.01, 95% CI 1.49-2.72). In gender-specific analyses, increasing VAI remained significantly associated with elevated T2DM risk after adjustment in both females ( HR=1.43, 95% CI 1.21-1.68) and males ( HR=1.16; 95% CI 1.11-1.22), with consistent findings across VAI quartiles. Conclusions:VAI and gender demonstrated multiplicative and additive interaction in relation to T2DM risk. The association between increasing VAI and T2DM risk was more pronounced in women than in men.

Objective:To investigate the effect of applying the analog of miR-145(agomiR-145)to target a disintegrin and metallopro-tease 17(ADAM17)on the growth of triple-negative breast cancer(TNBC)xenograft tumors in nude mice and the underlying mecha-nism.Methods:A subcutaneous xenograft tumor model was established in nude mice with MDA-MB-231 cells(n=30).The 30 nude mice were randomly divided into agomiR group,agomiR-NC group,and control group to receive intratumoral injection of 100 μL of agomiR-145(0.33 g/L),agomiR-NC(0.33 g/L),and normal saline,respectively.We examined tumor tissue morphology with HE stain-ing;measured the expression of miR-145,ADAM17,and epidermal growth factor receptor(EGFR)in tumor tissues by real-time poly-merase chain reaction(RT-PCR);and determined the protein expression of ADAM17,EGFR,and p-EGFR in tumor tissues by immu-nohistochemistry and Western blot.Results:The tumor growth in the agomiR group was slow,with a significantly smaller tumor volume than those in the control group and the agomiR-NC group(P<0.05).The results of HE staining showed more severe necrosis and hem-orrhage within tumor tissues in the control group and the agomiR-NC group than in the agomiR group.RT-PCR results showed that the expression level of miR-145 in the agomiR group was significantly higher than those in the agomiR-NC and control groups(P<0.001);the agomiR group had a significantly lower mRNA expression level of ADAM17 than the other two groups(P<0.05);and there was no significant difference in EGFR mRNA expression between the three groups(P>0.05).Immunohistochemistry and Western blot detected significantly lower protein expression levels of ADAM17 and EGFR in the agomiR group than in the agomiR-NC group and the control group(P<0.05).Conclusion:AgomiR-145 inhibits the growth of TNBC xenografts in nude mice by targeted suppression of ADAM17-EGFR activity.

Objective:To investigate the relationship between dietary behavior and sarcopenia in older adults aged ≥65 years in longevity areas of China based on latent class analysis.Methods:A total of 4 358 older adults aged ≥65 years were selected from the 2021 Healthy Aging and Biomarkers Cohort Study. The information about their demographic characteristics, lifestyles, and chronic disease histories were collected. A simplified food frequency questionnaire was used to collect information about their dietary intake in the last month. The food intake frequency and food category score were calculated, and the higher the food category score, the richer the dietary intake. Latent class analysis was used to identify the latent classes of the dietary behavior. Sarcopenia was diagnosed using the SARC-CalF. Multivariate logistic regression model was used to analyze the association of food category scores and different latent classes of the dietary behavior with the risk for sarcopenia.Results:In 4 358 older adults, 1 841 (42.24%) had sarcopenia. The frequencies of intakes of cereals and potatoes, vegetable and fruit, meat and bean products were lower in the sarcopenia group than in the non-sarcopenia group. The risk for sarcopenia decreased with the increase of food category score in older adults ( OR=0.850, 95% CI: 0.796-0.907). Latent class analysis identified 4 latent classes of the dietary behavior. Compared with those with class 1 (frequency of intake of all 5 food species was higher probability in T3 group), those with class 2 (frequency of intake of vegetables and fruits and energy-only foods were less likely to be in the T3 group) and class 3 (frequency of intake of all 5 food species was lower probability in T3 group) had significantly increased risk for sarcopenia ( OR=1.377, 95% CI: 1.131-1.676) and ( OR=1.354, 95% CI: 1.091-1.680), 37.7% and 35.4% increased risk for sarcopenia, respectively. Conclusion:Increasing dietary intake category and sufficient intake of various foods for a balanced dietary pattern can reduce the risk of sarcopenia in older adults.

Objective:To gain insight into the multidimensional needs of adults with moderate-to-severe psoriasis at different stages of disease progression diagnostic and treatment dynamics based on patient journey maps, providing a basis for developing precise intervention strategies and optimizing care throughout the journey.Methods:From September to October 2024, 14 adult patients with moderate-to-severe psoriasis admitted to the Department of Dermatology of the First Hospital of Shanxi Medical University were selected by purposive sampling method for semi-structured interviews. Content analysis was used to analyze the data, drawing on theory of "timing it right" to depict a patient journey map that was reviewed and improved by the research team and patients.Results:Patient journey map was developed and condensed into four themes of experiences and challenges from pre-diagnosis to adaptation, complex emotional experiences, experiential pain points at each stage of the diagnosis and treatment, and opportunity points to improve the experience and quality of the diagnosis and treatment.Conclusions:At different stages of disease progression, the diagnosis and treatment needs of adults with moderate-to-severe psoriasis are characterized by dynamic evolution and multidimensional integration. The journey map can accurately identify patients' differentiated experiences and needs, and can provide a reference for healthcare professionals and policy makers to optimize patients' diagnostic and treatment experiences and focus on patients' health management.

Objective:To gain insight into the multidimensional needs of adults with moderate-to-severe psoriasis at different stages of disease progression diagnostic and treatment dynamics based on patient journey maps, providing a basis for developing precise intervention strategies and optimizing care throughout the journey.Methods:From September to October 2024, 14 adult patients with moderate-to-severe psoriasis admitted to the Department of Dermatology of the First Hospital of Shanxi Medical University were selected by purposive sampling method for semi-structured interviews. Content analysis was used to analyze the data, drawing on theory of "timing it right" to depict a patient journey map that was reviewed and improved by the research team and patients.Results:Patient journey map was developed and condensed into four themes of experiences and challenges from pre-diagnosis to adaptation, complex emotional experiences, experiential pain points at each stage of the diagnosis and treatment, and opportunity points to improve the experience and quality of the diagnosis and treatment.Conclusions:At different stages of disease progression, the diagnosis and treatment needs of adults with moderate-to-severe psoriasis are characterized by dynamic evolution and multidimensional integration. The journey map can accurately identify patients' differentiated experiences and needs, and can provide a reference for healthcare professionals and policy makers to optimize patients' diagnostic and treatment experiences and focus on patients' health management.

Objective:To examine the interaction between gender and the visceral adiposity index (VAI) in relation to the risk of type 2 diabetes mellitus (T2DM).Methods:This retrospective cohort study utilized data from the public Dryad database derived from the NAGALA (NAFLD in the Gifu Area, Longitudinal Analysis) project (1994-2016). Participants were stratified into quartiles based on VAI levels. A multivariate Cox proportional hazards regression model was employed to evaluate whether VAI independently predicts T2DM risk. Kaplan-Meier survival curves and receiver operating characteristic (ROC) curves were constructed for each VAI quartile. Subgroup analyses were conducted to examine associations across age and body mass index categories. Both multiplicative and additive interaction effects between gender and VAI were assessed. Additionally, gender-specific Cox models were fitted to further explore these associations.Results:A total of 15 453 participants [8 419 males and 7 034 females; mean age, (43.7±8.9) years] were included, with a median follow-up duration of 5.39 years. During follow-up, 373 participants (2.4%) developed T2DM. After adjustment for potential confounders, higher VAI levels were independently associated with increased T2DM risk ( HR=1.16; 95% CI 1.11-1.21), consistent with the results across VAI quartiles. Kaplan-Meier analysis revealed a significant trend of increasing T2DM incidence across VAI quartiles ( P<0.001). The area under the ROC curve for VAI in predicting T2DM at 3, 5, and 10 years was 0.755, 0.735, and 0.696, respectively. Sensitivity analyses showed that elevated VAI was associated with increased T2DM risk across all age and body mass index subgroups (all P<0.05). Regarding interaction analysis, the HR (95% CI) for the multiplicative interaction between VAI and gender was 1.22 (1.19-1.26). The relative excess risk of interaction was -1.08 (95% CI -2.96 to -0.06), the attributable proportion of interaction was -0.54 (95% CI -1.35 to -0.01), and the synergy index was 0.48 (95% CI 0.26-0.91), indicating a negative additive interaction. Using low-VAI women as the reference group, the risk of T2DM in high-VAI women was higher ( HR=2.53, 95% CI 1.59-4.02) compared to high-VAI men ( HR=2.01, 95% CI 1.49-2.72). In gender-specific analyses, increasing VAI remained significantly associated with elevated T2DM risk after adjustment in both females ( HR=1.43, 95% CI 1.21-1.68) and males ( HR=1.16; 95% CI 1.11-1.22), with consistent findings across VAI quartiles. Conclusions:VAI and gender demonstrated multiplicative and additive interaction in relation to T2DM risk. The association between increasing VAI and T2DM risk was more pronounced in women than in men.

Objective:To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods:The prospective multicenter study was conducted in Zhejiang, China from May 1 st, 2019 to January 31 st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results:A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95% CI 0.593-0.771, P<0.01). Conclusion:In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.