1.Mechanism of miR-21 targeting inhibition of the PTEN/AKT/mTOR pathway in ameliorating chronic renal fibrosis in mice
Jiao QI ; Shanshan XU ; Qige QI ; Yan MENG ; Jianrong ZHAO ; Liying ZHANG
Acta Universitatis Medicinalis Anhui 2026;61(2):217-224
ObjectiveTo investigate the mechanism through which miR‑21 improves chronic renal fibrosis in mice via targeted modulation of the phosphatase and tensin homolog (PTEN)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathway. MethodsThirty‑two chronic kidney disease model mice were randomly divided into four groups (n=8 each group): model group, miR‑21 overexpression group, miR‑21 inhibition group, and miR‑21 inhibition + MK‑2206 group. Eight healthy mice were included as the control group. The miR‑21 overexpression, miR‑21 inhibition, and miR‑21 inhibition + MK‑2206 groups received tail‑vein injections of lentivirus (50 μL, 1×10⁸ TU per mouse) once weekly for three weeks. The control and model groups were injected with an equal volume of empty vector (LV‑NC). The miR‑21 inhibition + MK‑2206 group additionally received gavage of the AKT/mTOR pathway inhibitor MK‑2206 (480 mg/kg) once weekly for three weeks. The expressions of miR‑21, 24 h urinary protein, serum creatinine (Scr), blood urea nitrogen (BUN), and renal tissue levels of collagen Ⅰ, collagen Ⅲ, α‑smooth muscle actin (α‑SMA), and PTEN protein, as well as p‑AKT/AKT and p‑mTOR/mTOR ratios, were compared among groups. HE staining was used to observe pathological changes in renal tissue, and Masson staining was used to observe the degree of renal fibrosis. A dual‑luciferase assay was performed to verify the targeting relationship between miR‑21 and PTEN. ResultsCompared with the model group, miR‑21 expression in renal tissue increased in the miR‑21 overexpression group (P<0.05) and decreased in the miR‑21 inhibition group (P<0.05). Compared with the model group, the miR‑21 overexpression group showed increased 24 h urinary protein, Scr, BUN, and renal tissue expression of collagen Ⅰ, collagen Ⅲ, and α‑SMA (all P<0.05), while these indicators decreased in the miR‑21 inhibition group (P<0.05). Compared with the miR‑21 inhibition group, the miR‑21 inhibition + MK‑2206 group exhibited lower 24‑h urinary protein, Scr, BUN, and renal tissue expression of Collagen Ⅰ, Collagen Ⅲ, and α‑SMA (all P<0.05). Compared with the model group, the miR‑21 overexpression group showed decreased PTEN protein expression (P<0.05) and increased p‑AKT/AKT and p‑mTOR/mTOR ratios (P<0.05), while the miR‑21 inhibition group showed increased PTEN expression (P<0.05) and decreased p‑AKT/AKT and p‑mTOR/mTOR ratios (P<0.05). Compared with the miR‑21 inhibition group, the miR‑21 inhibition + MK‑2206 group had lower p‑AKT/AKT and p‑mTOR/mTOR ratios (P<0.05), with no significant difference in PTEN protein expression. HE and Masson staining showed normal kidney structure and almost no fibrosis in the control group. The model group exhibited glomerular enlargement, capillary loop adhesion, and focal fibrosis. The miR-21 overexpression group showed severe destruction of glomerular structure, accompanied by extensive fibrosis and renal tubular atrophy. The pathological changes and degree of fibrosis were alleviated in the miR-21 inhibition group. The miR-21 inhibition + MK-2206 group showed only mild pathological changes and mild fibrosis, with the interstitium being largely normal. Compared with PTEN-WT + NC mimics 1, the relative luciferase activity in the PTEN-WT + miR-21 mimics group decreased (P<0.001). There was no statistically significant difference in relative luciferase activity between PTEN-WT + NC mimics group and PTEN-MUT + miR-21 mimics group. ConclusionmiR‑21 may improve renal function indicators and alleviate renal fibrosis in chronic kidney disease mice via targeted modulation of PTEN and subsequently inhibiting the AKT/mTOR pathway.
2.Determination and evaluation of serum monosaccharides in patients with early-stage lung adenocarcinoma.
Wenhao SU ; Cui HAO ; Yifei YANG ; Pengjiao ZENG ; Huaiqian DOU ; Meng ZHANG ; Yanli HE ; Yiran ZHANG ; Ming SHAN ; Wenxing DU ; Wenjie JIAO ; Lijuan ZHANG
Chinese Medical Journal 2025;138(3):352-354
3.Identification of novel pathogenic variants in genes related to pancreatic β cell function: A multi-center study in Chinese with young-onset diabetes.
Fan YU ; Yinfang TU ; Yanfang ZHANG ; Tianwei GU ; Haoyong YU ; Xiangyu MENG ; Si CHEN ; Fengjing LIU ; Ke HUANG ; Tianhao BA ; Siqian GONG ; Danfeng PENG ; Dandan YAN ; Xiangnan FANG ; Tongyu WANG ; Yang HUA ; Xianghui CHEN ; Hongli CHEN ; Jie XU ; Rong ZHANG ; Linong JI ; Yan BI ; Xueyao HAN ; Hong ZHANG ; Cheng HU
Chinese Medical Journal 2025;138(9):1129-1131
4.Efficacy and safety of upadacitinib through 140 weeks in Chinese adult and adolescent patients with moderate-to-severe atopic dermatitis: Post hoc analysis of the phase 3 Measure Up 1 and AD Up clinical trials.
Li ZHANG ; Jinhua XU ; Chaoying GU ; Min ZHENG ; Meng PAN ; Linfeng LI ; Michael LANE ; Andrew PLATT ; Shereen HAMMAD ; Qichen FAN ; Xinghua GAO
Chinese Medical Journal 2025;138(13):1633-1634
5.Vitamin D supplementation inhibits atherosclerosis through repressing macrophage-induced inflammation via SIRT1/mTORC2 signaling.
Yuli WANG ; Qihong NI ; Yongjie YAO ; Shu LU ; Haozhe QI ; Weilun WANG ; Shuofei YANG ; Jiaquan CHEN ; Lei LYU ; Yiping ZHAO ; Meng YE ; Guanhua XUE ; Lan ZHANG ; Xiangjiang GUO ; Yinan LI
Chinese Medical Journal 2025;138(21):2841-2843
6.Expert consensus on intraoperative repositioning for patients with spine fracture and dislocation (version 2025)
Dongmei BIAN ; Ke SUN ; Ningbo CHEN ; Caixia BAI ; Miao WANG ; Yafeng QIAO ; Fei WANG ; Hong WANG ; Feng TIAN ; Mei YAN ; Meng BAI ; Linjuan ZHANG ; Liyan ZHAO ; Yaqing CUI ; Xue JIANG ; Leling FENG ; Ning NING ; Junqin DING ; Lan WEI ; Yonghua ZHAI ; Yu ZENG ; Zengmei ZHANG ; Jiqun HE ; Fenggui BIE ; Hong CHEN ; Zengyan WANG ; Li LI ; Li ZHANG ; Yaying ZHOU ; Bing SHAO ; Ying WANG ; Caixia XIE ; Yanfeng YAO ; Jingjing AN ; Wen SHI ; Xiongtao LIU ; Xiaoyan AN ; Ning NAN ; Lan LI ; Xiaohui GOU ; Qiaomei LI ; Xiuting WU ; Yuqin ZHANG ; Jing LIU ; Fusen XIANG ; Xu XU ; Na MEI ; Jiao ZHOU ; Shan FAN ; Qian WANG ; Shuixia LI
Chinese Journal of Trauma 2025;41(2):138-147
Spine fracture and dislocation are common traumatic spinal conditions that often require surgical intervention due to compromised spinal stability. Surgical approaches include anterior, posterior, and combined anterior-posterior spinal procedures. According to the specific surgical requirements, patients may be placed in the prone position or repositioned between prone and supine positions during surgery. Intraoperative repositioning has become an essential step in patient positioning. However, during repositioning, patients with spinal fracture and dislocation are at increased risk for complications such as hemodynamic instability, nerve injury, and pressure injuries to the skin and soft tissue. Notably, due to the instability of the spinal cord, even minor manipulations can further exacerbate the damage, potentially leading to severe outcomes like paraplegia. Although the current clinical guidelines provide instructive recommendations for standard position, there remains no specific protocols for intraoperative repositioning in patients with spine fracture and dislocation. With a concern for the lack of clinical studies on positioning techniques, risk prevention, and operational norms for special patients, no applicable guidelines or standards are available. A consensus was required to provide clinical reference, meet the requirements of surgical treatment, and minimize the safety risks of patients caused by improper placement of positions. Professional Committee of Operating Room Nursing of Shaanxi Nursing Association organized experts in nursing management and operating room nursing from major hospitals across China to formulate Expert consensus on intraoperative repositioning for patients with spinal fracture and dislocation ( version 2025). The consensus provides 11 recommendations covering pre-repositioning preparation, intraoperative maneuvers, and post-repositioning observation, aiming to provide references for clinical standardization of the intraoperative repositioning process and protection of patients′ safety.
7.Research on Hyperspectral Image Detection and Recognition of Pepper Early Blight Incubation Period Based on Spectral and Texture Features
Meng-Jiao SHEN ; Hao BAO ; Yan ZHANG
Progress in Biochemistry and Biophysics 2025;52(1):233-243
ObjectiveEarly blight is a common destructive disease in the growth process of Solanaceae crops, which can lead to crop failure and serious losses. Traditional crop disease detection methods are difficult to detect disease characteristics in a timely manner during the incubation period of disease, and thus take scientific and effective prevention and control measures. This study obtained hyperspectral images of early blight of peppers at different infection stages through continuous monitoring with a hyperspectral imager. The earliest identifiable time during the incubation period of early blight in peppers (the earliest identifiable time during the incubation period in this experiment was 24 h after inoculation) was determined using the spectral angle cosine-correlation coefficient and Chebyshev distance. MethodsTaking the symptoms of the latent period of early blight in peppers as the research object, 13 characteristic wavelengths were selected using a genetic algorithm. An identification model of crop disease latent period symptoms based on spectral features was established through optimized combinations of characteristic wavelengths combined with a logistic regression model. Simultaneously, a recognition model of the latent period of early blight in peppers based on image texture features was established using local binary patterns. ResultsThe experiment was tested with 120 samples. The accuracy of the identification model of crop disease latent period symptoms based on spectral features reached over 93% in both the training set and the test set. The accuracy of the identification model of crop disease latent period symptoms based on texture features reached 98.96% and 100% in the training set and test set, respectively. ConclusionBoth spectral features and texture features can be used to detect and identify crop disease latent period symptoms. Texture features more significantly revealed the characteristics of the latent period of the disease compared to spectral features, effectively improving the detection performance of the model. The research results in this article can provide theoretical references for monitoring and identifying other crop disease latent period symptoms.
8.Dose-adjusted plasma concentrations of valproic acid between different valproate formulations in patients with mental disorders
Jing DING ; Ying CHEN ; Xiaohua CUI ; Zhuocheng MENG ; Suo ZHANG ; Jiao HE ; Yuanyuan ZHAI
Chinese Journal of Neuromedicine 2025;24(11):1125-1133
Objective:To explore differences in dose-adjusted plasma concentrations of valproic acid between different valproate formulations in patients with mental disorders based on therapeutic drug monitoring data.Methods:A retrospective analysis was performed; clinical data, including demographic characteristics, therapeutic drug monitoring results, comorbidities, medication details (daily valproic acid dose, concomitant medications), and liver and kidney function indicators, were collected from 633 patients with bipolar disorder or schizophrenia who were hospitalized at Xi'an Mental Health Center and received different valproates from January 2024 to June 2024 (98 patients receiving sodium valproate and 535 receiving magnesium valproate). Clinical data between a sodium valproate group and a magnesium valproate group were compared. Multivariate linear regression was used to identify independent influencing factors for dose-adjusted plasma concentration of valproic acid. Valproic acid daily doses, and plasma concentrations and dose-adjusted plasma concentrations of valproic acid were compared between the two groups, with subgroup analyses conducted by gender and age categories.Results:A total of 658 measurements of plasma valproic acid concentration were obtained in 633 patients, including 104 measurements in the sodium valproate group and 554 in the magnesium valproate group. Significant differences in proportions of comorbidities and concomitant use of olanzapine, quetiapine and clozapine were observed between the sodium valproate group and magnesium valproate group ( P<0.05). After adjusting for age, gender, body mass index, comorbidities, concomitant medications, and liver and kidney function indicators, the type of valproates remained an independent influencing factor for dose-adjusted plasma concentration of valproic acid (adjusted unstandardized B coefficient=13.814, 95% CI: 8.090-19.540, P<0.001). Daily dose in the sodium valproate group (1.0[1.0, 1.0] g/d) was significantly higher than that in the magnesium valproate group (0.5[0.5, 1.0] g/d), and dose-adjusted plasma concentration of valproic acid in the magnesium valproate group (93.00 [75.60, 117.40] [μg/mL]/[g·d]) was statistically higher than that in the sodium valproate group (78.55 [57.90, 90.00][μg/mL]/[g·d], P<0.05). Subgroup analysis revealed that, among patients stratified by genders and ages (<40 years vs. ≥40 years), the daily dose in the sodium valproate group was significantly higher than that in the magnesium valproate group, while the dose-adjusted plasma concentration of valproic acid in the magnesium valproate group was significantly higher than that in the sodium valproate group ( P<0.05). Conclusion:Significant differences in dose-adjusted plasma concentrations of valproic acid are observed among different valproate formulations for the treatment of mental disorders; therefore, therapeutic drug monitoring should be performed in patients when switching valproates to facilitate precise individualized dosage adjustment.
9.Changing prevalence and antibiotic resistance profiles of carbapenem-resistant Enterobacterales in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Wenxiang JI ; Tong JIANG ; Jilu SHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yuanhong XU ; Ying HUANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yingchun XU ; Xiaojiang ZHANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Yunsong YU ; Jie LIN ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Hong ZHANG ; Chun WANG ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE
Chinese Journal of Infection and Chemotherapy 2025;25(4):445-454
Objective To summarize the changing prevalence of carbapenem resistance in Enterobacterales based on the data of CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021 for improving antimicrobial treatment in clinical practice.Methods Antimicrobial susceptibility testing was performed using a commercial automated susceptibility testing system according to the unified CHINET protocol.The results were interpreted according to the breakpoints of the Clinical & Laboratory Standards Institute(CLSI)M100 31st ed in 2021.Results Over the seven-year period(2015-2021),the overall prevalence of carbapenem-resistant Enterobacterales(CRE)was 9.43%(62 342/661 235).The prevalence of CRE strains in Klebsiella pneumoniae,Citrobacter freundii,and Enterobacter cloacae was 22.38%,9.73%,and 8.47%,respectively.The prevalence of CRE strains in Escherichia coli was 1.99%.A few CRE strains were also identified in Salmonella and Shigella.The CRE strains were mainly isolated from respiratory specimens(44.23±2.80)%,followed by blood(20.88±3.40)%and urine(18.40±3.45)%.Intensive care units(ICUs)were the major source of the CRE strains(27.43±5.20)%.CRE strains were resistant to all the β-lactam antibiotics tested and most non-β-lactam antimicrobial agents.The CRE strains were relatively susceptible to tigecycline and polymyxins with low resistance rates.Conclusions The prevalence of CRE strains was increasing from 2015 to 2021.CRE strains were highly resistant to most of the antibacterial drugs used in clinical practice.Clinicians should prescribe antimicrobial agents rationally.Hospitals should strengthen antibiotic stewardship in key clinical settings such as ICUs,and take effective infection control measures to curb CRE outbreak and epidemic in hospitals.
10.Changing distribution and antibiotic resistance profiles of the respiratory bacterial isolates in hospitals across China:data from CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Ying FU ; Yunsong YU ; Jie LIN ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Fengbo ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Pan FU ; Yuanhong XU ; Ying HUANG ; Ziyong SUN ; Zhongju CHEN ; Yuxing NI ; Jingyong SUN ; Yunzhuo CHU ; Sufei TIAN ; Zhidong HU ; Jin LI ; Bin SHAN ; Yan DU ; Sufang GUO ; Lianhua WEI ; Fengmei ZOU ; Hong ZHANG ; Chun WANG ; Yunjian HU ; Xiaoman AI ; Chao ZHUO ; Danhong SU ; Dawen GUO ; Jinying ZHAO ; Hua YU ; Xiangning HUANG ; Wen'en LIU ; Yanming LI ; Yan JIN ; Chunhong SHAO ; Xuesong XU ; Chao YAN ; Shanmei WANG ; Yafei CHU ; Lixia ZHANG ; Juan MA ; Shuping ZHOU ; Yan ZHOU ; Lei ZHU ; Jinhua MENG ; Fang DONG ; Zhiyong LÜ ; Fangfang HU ; Han SHEN ; Wanqing ZHOU ; Wei JIA ; Gang LI ; Jinsong WU ; Yuemei LU ; Jihong LI ; Jinju DUAN ; Jianbang KANG ; Xiaobo MA ; Yanping ZHENG ; Ruyi GUO ; Yan ZHU ; Yunsheng CHEN ; Qing MENG ; Shifu WANG ; Xuefei HU ; Jilu SHEN ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WENG ; Yirong ZHANG ; Jiangshan LIU ; Longfeng LIAO ; Hongqin GU ; Lin JIANG ; Wen HE ; Shunhong XUE ; Jiao FENG ; Chunlei YUE ; Wenhui HUANG
Chinese Journal of Infection and Chemotherapy 2025;25(4):431-444
Objective To characterize the changing species distribution and antibiotic resistance profiles of respiratory isolates in hospitals participating in the CHINET Antimicrobial Resistance Surveillance Program from 2015 to 2021.Methods Commercial automated antimicrobial susceptibility testing systems and disk diffusion method were used to test the susceptibility of respiratory bacterial isolates to antimicrobial agents following the standardized technical protocol established by the CHINET program.Results A total of 589 746 respiratory isolates were collected from 2015 to 2021.Overall,82.6%of the isolates were Gram-negative bacteria and 17.4%were Gram-positive bacteria.The bacterial isolates from outpatients and inpatients accounted for(6.0±0.9)%and(94.0±0.1)%,respectively.The top microorganisms were Klebsiella spp.,Acinetobacter spp.,Pseudomonas aeruginosa,Staphylococcus aureus,Haemophilus spp.,Stenotrophomonas maltophilia,Escherichia coli,and Streptococcus pneumoniae.Each microorganism was isolated from significantly more males than from females(P<0.05).The overall prevalence of methicillin-resistant S.aureus(MRSA)was 39.9%.The prevalence of penicillin-resistant S.pneumoniae was 1.4%.The prevalence of extended-spectrum β-lactamase(ESBL)-producing E.coli and K.pneumoniae was 67.8%and 41.3%,respectively.The overall prevalence of carbapenem-resistant E.coli,K.pneumoniae,Enterobacter cloacae,Pseudomonas aeruginosa,and Acinetobacter baumannii was 3.7%,20.8%,9.4%,29.8%,and 73.3%,respectively.The prevalence of β-lactamase was 96.1%in Moraxella catarrhalis and 60.0%in Haemophilus influenzae.The H.influenzae isolates from children(<18 years)showed significantly higher resistance rates to β-lactam antibiotics than the isolates from adults(P<0.05).Conclusions Gram-negative bacteria are still predominant in respiratory isolates associated with serious antibiotic resistance.Antimicrobial resistance surveillance should be strengthened in clinical practice to support accurate etiological diagnosis and appropriate antimicrobial therapy based on antimicrobial susceptibility testing results.

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