1.MultiKano: an automatic cell type annotation tool for single-cell multi-omics data based on Kolmogorov-Arnold network and data augmentation.
Siyu LI ; Xinhao ZHUANG ; Songbo JIA ; Songming TANG ; Liming YAN ; Heyang HUA ; Yuhang JIA ; Xuelin ZHANG ; Yan ZHANG ; Qingzhu YANG ; Shengquan CHEN
Protein & Cell 2025;16(5):374-380
2.Advances in the regulation of microbial cell metabolism and environmental adaptation.
Yuan LIU ; Guipeng HU ; Xiaomin LI ; Jia LIU ; Cong GAO ; Liming LIU
Chinese Journal of Biotechnology 2025;41(3):1133-1151
The ability of cells to sense and adapt to metabolic changes and environmental variations is essential for their functions. Recent advances in synthetic biology have uncovered increasing mechanisms through which cells detect changes in metabolism and environmental conditions, leading to broader applications. However, a systematic review on the regulation of cellular metabolism and environmental adaption is currently lacking. This article presents a comprehensive overview of this field from three perspectives. First, it introduces key transmembrane and sensor proteins involved in the cellular perception of metabolic and environmental changes. Next, it summarizes the adaptive regulation mechanisms that natural cells employ when confronted with intracellular and extracellular metabolic changes. Finally, the review explores the application scenarios based on cellular adaptive regulation in three aspects: dynamic control, rational metabolic engineering, and adaptive evolution and makes an outlook on the future development directions in this field. This review not only provides a comprehensive perspective on the mechanisms by which cells sense metabolic and environmental variations, but also lays a theoretical foundation for further innovations in the field of synthetic biology. With the continuous advancement of future technologies, a deeper understanding of cellular adaptive regulation mechanisms holds great potential to drive the development and application of novel biomanufacturing platforms.
Adaptation, Physiological
;
Synthetic Biology
;
Metabolic Engineering/methods*
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Environment
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Bacteria/genetics*
3.Metabolic engineering of Corynebacterium glutamicum for L-valine production.
Hailang YU ; Jia LIU ; Xiaomin LI ; Liming LIU
Chinese Journal of Biotechnology 2025;41(9):3504-3520
L-valine is an important essential branched-chain amino acid widely used in industries such as feed, pharmaceuticals, and food. In order to further enhance the production performance of L-valine, this study systematically engineered the metabolism of a Corynebacterium glutamicum strain, preserved in the laboratory, which is capable of producing L-valine. First, strain VH-9 was obtained by enhancing the precursor supply, synthesis pathway, and transport system of L-valine. In a 5 L fermenter, the titer, yield, and productivity of L-valine were 76.6 g/L, 0.45 g/g, and 2.39 g/(L·h), respectively. Furthermore, strain VH-18 was obtained by enhancing the uptake of substrate glucose and balancing energy supply to reduce succinate accumulation, with the titer, yield, and productivity of L-valine increased to 82.7 g/L, 0.52 g/g, and 2.58 g/(L·h), respectively. After optimization of fermentation conditions, the titer, yield, and productivity of L-valine in strain VH-18 were further improved to 88.7 g/L, 0.54 g/g, and 2.77 g/(L·h), respectively. This study has achieved the high-efficiency production of L-valine through a systems metabolic engineering strategy.
Corynebacterium glutamicum/genetics*
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Metabolic Engineering/methods*
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Valine/biosynthesis*
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Fermentation
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Glucose/metabolism*
4.DiPTAC: A degradation platform via directly targeting proteasome.
Yutong TU ; Qian YU ; Mengna LI ; Lixin GAO ; Jialuo MAO ; Jingkun MA ; Xiaowu DONG ; Jinxin CHE ; Chong ZHANG ; Linghui ZENG ; Huajian ZHU ; Jiaan SHAO ; Jingli HOU ; Liming HU ; Bingbing WAN ; Jia LI ; Yubo ZHOU ; Jiankang ZHANG
Acta Pharmaceutica Sinica B 2025;15(1):661-664
5.Prognostic analysis of postoperative adjuvant therapy for hepatocellular carcinoma after con-version therapy of combined targeted therapy and immunotherapy followed by sequential hepatectomy: a multicenter study
Kongying LIN ; Jia LIN ; Zisen LAI ; Yongping LAI ; Kui WANG ; Jinhong CHEN ; Zhibo ZHANG ; Jingdong LI ; Sheng TAI ; Shifeng WANG ; Siming ZHENG ; Jianxi ZHANG ; Lu ZHENG ; Kai WANG ; Jiacheng ZHANG ; Jiahui LYU ; Liming HUANG ; Yongyi ZENG
Chinese Journal of Digestive Surgery 2025;24(1):103-112
Objective:To investigate the prognosis of postoperative adjuvant therapy for hepatocellular carcinoma after conversion therapy of combined targeted therapy and immunotherapy followed by sequential hepatectomy.Methods:The retrospective cohort study was conducted. The clinicopathological data of 103 patients with initially unresectable hepatocellular carcinoma (HCC) who were admitted to 11 medical centers in China, including Mengchao Hepatobiliary Hospital of Fujian Medical University et al, from November 2019 to May 2023 were collected. There were 83 males and 20 females, aged (54±12)years. All 103 patients underwent conversion therapy of tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs) successfully followed by sequential hepatectomy, of which 72 patients undergoing postoperative adjuvant therapy were divided into the adjuvant therapy group, and 31 patients undergoing postoperative follow-up monitoring were divided into the follow-up monitoring group. Observation indicators: (1) follow-up and postoperative condi-tions; (2) analysis of factors influencing recurrence-free survival time of patients; (3) stratified ana-lysis. Comparison of count data between group was conducted using the chi-square test or Fisher exact probability. The R software was used to draw survival curves, and the Log-rank test was used for survival analysis. Univariate and multivariate analyses were conducted using the Cox proportional hazard model. Results:(1) Follow-up and postoperative conditions. All 103 patients were followed up for 21.0(range, 1.9?47.2)months, with the median recurrence-free survival time of 28.7 months and the 1-, 2-, 3-year recurrence-free survival rates of 68.6%, 55.6%, 41.2%. The median overall survival time of 103 patients was unreached, and the 1-, 2-, 3-year overall survival rates were 90.9%, 82.1%, 69.6%, respectively. The median recurrence-free survival time was 33.1 months in patients of the adjuvant therapy group, with the 1-, 2-year recurrence-free survival rates as 77.2%, 61.5%. The median recurrence-free survival time was 11.1 months in patients of the follow-up monitoring group, with the 1-, 2-year recurrence-free survival rates as 46.6%, 40.8%. There was a significant difference in recurrence-free survival between the two groups of patients ( χ2=5.492, P<0.05). (2) Analysis of factors influencing recurrence-free survival time of patients. Results of multivariate analy-sis showed that pathologic complete response and postoperative adjuvant therapy were independent factors influencing recurrence-free survival time of HCC patients undergoing conversion therapy of combined targeted therapy and immunotherapy followed by sequential hepatectomy ( hazard ratio=0.297, 0.492, 95% confidence interval as 0.137?0.647, 0.268?0.903, P<0.05). (3) Stratified analysis. Of the 71 patients with non-pathologic complete response, the median recurrence-free survival time of 48 patients in the adjuvant therapy group was 24.0 months, with the 1-, 2-year recurrence-free survival rates as 67.4%, 48.8%. The median recurrence-free survival time of 23 patients with non-pathological complete response in the follow-up monitoring group was 7.4 months, with the 1-, 2-year recurrence-free survival rates as 35.0%, 26.3%. There was a significant difference in recurrence-free survival between the 48 patients with non-pathologic complete response in the adjuvant therapy group and the 23 patients with non-pathologic complete response in the follow-up monitoring group ( χ2=5.241, P<0.05). Conclusion:For HCC patients with conversion therapy of TKIs and ICIs followed by sequential hepatectomy, postoperative adjuvant therapy, compared to postoperative follow-up monitoring, can prolong the recurrence-free survival time of patients, of whom cases with non-pathologic complete response can benefit from adjuvant therapy.
6.Prevalence of sarcopenia and influencing factors in middle-aged and older adults in Zhejiang Province
Yincun WANG ; Xucheng WU ; Kaili SUN ; Xueqing JIA ; Liming ZHANG ; Li WANG ; Jing SHAO ; Zuobing CHEN ; Xiaoting LIU ; Peng ZHAN ; Zuyun LIU
Chinese Journal of Epidemiology 2025;46(7):1224-1230
Objective:To investigate the prevalence of sarcopenia and potential influencing factors in middle-aged and elderly populations in Zhejiang Province.Methods:Data were obtained from Zhejiang Provincial Household Economic Status Survey, a cross-sectional survey was condcuted in middle-aged and olde adults selected through multi-stage sampling in three cities in Zhejiang (Huzhou, Jiaxing and Shaoxing) in July 2023. A total of 3 019 study participants, average age 62.3 years old, 53.5% men, were included according to the inclusion and exclusion criteria. Sarcopenia screening was conducted by using the questionnaire with five sarcopenia related-items. Univariable and multivariable logistic regression analysis was used to identify the factors associated with sarcopenia.Results:The prevalence of sarcopenia in the middle-aged and old study participants was 4.47%. Significant differences were observed between the participants with or without sarcopenia in terms of age, educational level, BMI, alcohol consumption status, diet habit, physical activity level, sleep quality, number of chronic diseases, childhood socioeconomic status, adulthood community socioeconomic status, muscle strength, walking assistance, ability to stand from seat, ability to climb stairs, and fall frequency ( P<0.05). Multivariable logistic regression analysis revealed that old age (≥75 years: OR=2.82, 95% CI: 1.60-4.97), low body weight ( OR=1.96, 95% CI: 1.06-3.62), unhealthy diet habit ( OR=1.57, 95% CI: 1.01-2.46), physical inactivity ( OR=5.80, 95% CI: 3.09-10.88), poor or very poor sleep quality ( OR=1.65, 95% CI:1.23-2.41), number of chronic diseases (1 chronic disease: OR=1.84, 95% CI: 1.08-3.14; 2 chronic diseases: OR=3.22, 95% CI: 1.81-5.71; 3 or more chronic diseases: OR=3.74, 95% CI: 2.11-6.65), poor childhood socioeconomic status ( OR=2.98, 95% CI: 1.23-7.20), and poor adulthood community socioeconomic status ( OR=3.87, 95% CI: 1.63-9.17) were significant risk factors for sarcopenia. Conclusions:The prevalence of sarcopenia was relatively low in middle-aged and old population in Zhejiang. Age, BMI, unhealthy diet, physical activity level, sleep quality, number of chronic diseases, childhood socioeconomic status, and adulthood community socioeconomic status were identified as significant influencing factors.
7.Current status and influencing factors of oral frailty in elderly diabetic patients
Xiaohui SHANG ; Yifei DU ; Baoli WEN ; Qiming JIA ; Yan ZHENG ; Yu'na HU ; Liming LI
Chinese Journal of Modern Nursing 2025;31(14):1925-1930
Objective:To understand the current status of oral frailty in elderly diabetic patients and analyze its influencing factors.Methods:A convenience sampling method was used to select elderly diabetic patients hospitalized at Henan Cancer Hospital and Henan Provincial People's Hospital from October 2023 to May 2024. The general information questionnaire, Oral Frailty Index-8 (OFI-8) , Short Form of Health Literacy Dental Scale (HeLD-14) , Nutritional Risk Screening 2002 (NRS 2002) , and the Diabetes Distress Scale (DDS) were used to collect data. Binary Logistic regression analysis was used to examine the influencing factors of oral frailty in elderly diabetic patients.Results:A total of 235 questionnaires were distributed, and 220 valid questionnaires were returned, with an effective response rate of 93.62% (220/235) . The incidence of oral frailty in elderly diabetic patients was 46.82% (103/220) . The binary Logistic regression analysis showed that glycated hemoglobin, dry mouth, remaining teeth, nutritional risk, oral health literacy, and diabetes distress were significant influencing factors for the occurrence of oral frailty in elderly diabetic patients ( P<0.05) . Conclusions:The current status of oral frailty in elderly diabetic patients is concerning. Healthcare providers should pay attention to the oral health status of elderly diabetic patients and provide targeted nursing interventions and recommendations based on the influencing factors of oral frailty, in order to reduce its occurrence.
8.Prevalence of sarcopenia and influencing factors in middle-aged and older adults in Zhejiang Province
Yincun WANG ; Xucheng WU ; Kaili SUN ; Xueqing JIA ; Liming ZHANG ; Li WANG ; Jing SHAO ; Zuobing CHEN ; Xiaoting LIU ; Peng ZHAN ; Zuyun LIU
Chinese Journal of Epidemiology 2025;46(7):1224-1230
Objective:To investigate the prevalence of sarcopenia and potential influencing factors in middle-aged and elderly populations in Zhejiang Province.Methods:Data were obtained from Zhejiang Provincial Household Economic Status Survey, a cross-sectional survey was condcuted in middle-aged and olde adults selected through multi-stage sampling in three cities in Zhejiang (Huzhou, Jiaxing and Shaoxing) in July 2023. A total of 3 019 study participants, average age 62.3 years old, 53.5% men, were included according to the inclusion and exclusion criteria. Sarcopenia screening was conducted by using the questionnaire with five sarcopenia related-items. Univariable and multivariable logistic regression analysis was used to identify the factors associated with sarcopenia.Results:The prevalence of sarcopenia in the middle-aged and old study participants was 4.47%. Significant differences were observed between the participants with or without sarcopenia in terms of age, educational level, BMI, alcohol consumption status, diet habit, physical activity level, sleep quality, number of chronic diseases, childhood socioeconomic status, adulthood community socioeconomic status, muscle strength, walking assistance, ability to stand from seat, ability to climb stairs, and fall frequency ( P<0.05). Multivariable logistic regression analysis revealed that old age (≥75 years: OR=2.82, 95% CI: 1.60-4.97), low body weight ( OR=1.96, 95% CI: 1.06-3.62), unhealthy diet habit ( OR=1.57, 95% CI: 1.01-2.46), physical inactivity ( OR=5.80, 95% CI: 3.09-10.88), poor or very poor sleep quality ( OR=1.65, 95% CI:1.23-2.41), number of chronic diseases (1 chronic disease: OR=1.84, 95% CI: 1.08-3.14; 2 chronic diseases: OR=3.22, 95% CI: 1.81-5.71; 3 or more chronic diseases: OR=3.74, 95% CI: 2.11-6.65), poor childhood socioeconomic status ( OR=2.98, 95% CI: 1.23-7.20), and poor adulthood community socioeconomic status ( OR=3.87, 95% CI: 1.63-9.17) were significant risk factors for sarcopenia. Conclusions:The prevalence of sarcopenia was relatively low in middle-aged and old population in Zhejiang. Age, BMI, unhealthy diet, physical activity level, sleep quality, number of chronic diseases, childhood socioeconomic status, and adulthood community socioeconomic status were identified as significant influencing factors.
9.Prognostic analysis of postoperative adjuvant therapy for hepatocellular carcinoma after con-version therapy of combined targeted therapy and immunotherapy followed by sequential hepatectomy: a multicenter study
Kongying LIN ; Jia LIN ; Zisen LAI ; Yongping LAI ; Kui WANG ; Jinhong CHEN ; Zhibo ZHANG ; Jingdong LI ; Sheng TAI ; Shifeng WANG ; Siming ZHENG ; Jianxi ZHANG ; Lu ZHENG ; Kai WANG ; Jiacheng ZHANG ; Jiahui LYU ; Liming HUANG ; Yongyi ZENG
Chinese Journal of Digestive Surgery 2025;24(1):103-112
Objective:To investigate the prognosis of postoperative adjuvant therapy for hepatocellular carcinoma after conversion therapy of combined targeted therapy and immunotherapy followed by sequential hepatectomy.Methods:The retrospective cohort study was conducted. The clinicopathological data of 103 patients with initially unresectable hepatocellular carcinoma (HCC) who were admitted to 11 medical centers in China, including Mengchao Hepatobiliary Hospital of Fujian Medical University et al, from November 2019 to May 2023 were collected. There were 83 males and 20 females, aged (54±12)years. All 103 patients underwent conversion therapy of tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs) successfully followed by sequential hepatectomy, of which 72 patients undergoing postoperative adjuvant therapy were divided into the adjuvant therapy group, and 31 patients undergoing postoperative follow-up monitoring were divided into the follow-up monitoring group. Observation indicators: (1) follow-up and postoperative condi-tions; (2) analysis of factors influencing recurrence-free survival time of patients; (3) stratified ana-lysis. Comparison of count data between group was conducted using the chi-square test or Fisher exact probability. The R software was used to draw survival curves, and the Log-rank test was used for survival analysis. Univariate and multivariate analyses were conducted using the Cox proportional hazard model. Results:(1) Follow-up and postoperative conditions. All 103 patients were followed up for 21.0(range, 1.9?47.2)months, with the median recurrence-free survival time of 28.7 months and the 1-, 2-, 3-year recurrence-free survival rates of 68.6%, 55.6%, 41.2%. The median overall survival time of 103 patients was unreached, and the 1-, 2-, 3-year overall survival rates were 90.9%, 82.1%, 69.6%, respectively. The median recurrence-free survival time was 33.1 months in patients of the adjuvant therapy group, with the 1-, 2-year recurrence-free survival rates as 77.2%, 61.5%. The median recurrence-free survival time was 11.1 months in patients of the follow-up monitoring group, with the 1-, 2-year recurrence-free survival rates as 46.6%, 40.8%. There was a significant difference in recurrence-free survival between the two groups of patients ( χ2=5.492, P<0.05). (2) Analysis of factors influencing recurrence-free survival time of patients. Results of multivariate analy-sis showed that pathologic complete response and postoperative adjuvant therapy were independent factors influencing recurrence-free survival time of HCC patients undergoing conversion therapy of combined targeted therapy and immunotherapy followed by sequential hepatectomy ( hazard ratio=0.297, 0.492, 95% confidence interval as 0.137?0.647, 0.268?0.903, P<0.05). (3) Stratified analysis. Of the 71 patients with non-pathologic complete response, the median recurrence-free survival time of 48 patients in the adjuvant therapy group was 24.0 months, with the 1-, 2-year recurrence-free survival rates as 67.4%, 48.8%. The median recurrence-free survival time of 23 patients with non-pathological complete response in the follow-up monitoring group was 7.4 months, with the 1-, 2-year recurrence-free survival rates as 35.0%, 26.3%. There was a significant difference in recurrence-free survival between the 48 patients with non-pathologic complete response in the adjuvant therapy group and the 23 patients with non-pathologic complete response in the follow-up monitoring group ( χ2=5.241, P<0.05). Conclusion:For HCC patients with conversion therapy of TKIs and ICIs followed by sequential hepatectomy, postoperative adjuvant therapy, compared to postoperative follow-up monitoring, can prolong the recurrence-free survival time of patients, of whom cases with non-pathologic complete response can benefit from adjuvant therapy.
10.Current status and influencing factors of oral frailty in elderly diabetic patients
Xiaohui SHANG ; Yifei DU ; Baoli WEN ; Qiming JIA ; Yan ZHENG ; Yu'na HU ; Liming LI
Chinese Journal of Modern Nursing 2025;31(14):1925-1930
Objective:To understand the current status of oral frailty in elderly diabetic patients and analyze its influencing factors.Methods:A convenience sampling method was used to select elderly diabetic patients hospitalized at Henan Cancer Hospital and Henan Provincial People's Hospital from October 2023 to May 2024. The general information questionnaire, Oral Frailty Index-8 (OFI-8) , Short Form of Health Literacy Dental Scale (HeLD-14) , Nutritional Risk Screening 2002 (NRS 2002) , and the Diabetes Distress Scale (DDS) were used to collect data. Binary Logistic regression analysis was used to examine the influencing factors of oral frailty in elderly diabetic patients.Results:A total of 235 questionnaires were distributed, and 220 valid questionnaires were returned, with an effective response rate of 93.62% (220/235) . The incidence of oral frailty in elderly diabetic patients was 46.82% (103/220) . The binary Logistic regression analysis showed that glycated hemoglobin, dry mouth, remaining teeth, nutritional risk, oral health literacy, and diabetes distress were significant influencing factors for the occurrence of oral frailty in elderly diabetic patients ( P<0.05) . Conclusions:The current status of oral frailty in elderly diabetic patients is concerning. Healthcare providers should pay attention to the oral health status of elderly diabetic patients and provide targeted nursing interventions and recommendations based on the influencing factors of oral frailty, in order to reduce its occurrence.

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