1.Effects of Yishen paidu formula on renal fibrosis in rats with chronic renal failure by regulating the ROS/TXNIP/NLRP3 pathway
Li FENG ; Bowen PENG ; Bin PENG ; Xue FENG ; Shuangyi ZHU ; Wei XIONG ; Xi HU ; Xiaohui SUN
China Pharmacy 2026;37(2):174-179
OBJECTIVE To investigate the effects and mechanism of the Yishen paidu formula on renal fibrosis in rats with chronic renal failure (CRF) through the reactive oxygen species (ROS)/thioredoxin-interacting protein (TXNIP)/NOD-like receptor thermal protein domain associated protein 3 (NLRP3) pathway. METHODS Rats were randomly divided into control group, model group, Yishen paidu formula low-dose (Yishen paidu formula-L) group, Yishen paidu formula high-dose (Yishen paidu formula- H) group, Yishen paidu formula-H+pcDNA-NC group, and Yishen paidu formula-H+ pcDNA-TXNIP group, with 10 rats in each group. Except for control group, all other rats were fed a diet containing 0.5% adenine to establish a CRF model; the rats were then administered corresponding drugs or normal saline intragastrically or via tail vein, once daily, for 8 consecutive weeks. After the last administration, the levels of serum creatinine (Scr), blood urea nitrogen (BUN), ROS, superoxide dismutase (SOD), malondialdehyde (MDA), tumor necrosis factor-α (TNF-α), interleukin (IL)-6, and IL-1β were measured in each group. Pathological changes in renal tissue were observed, and the protein expression levels of Collagen Ⅲ, α-smooth muscle actin (α-SMA), transforming growth factor-β1 (TGF-β1), TXNIP and NLRP3 in renal tissue were detected. RESULTS Compared with model group, the renal histopathological damage and fibrosis of rats in Yishen paidu formula-L group and Yishen paidu formula-H group were significantly alleviated. The levels of Scr, BUN, ROS, MDA, TNF- α, IL-6 and IL-1β, and the protein expressions of Collagen Ⅲ, α-SMA, TGF-β1, TXNIP and NLRP3 were significantly decreased, while SOD levels were significantly increased (P<0.05). Moreover, the changes were more pronounced in the Yishen paidu formula-H group (P<0.05). Compared with Yishen paidu formula-H+pcDNA-NC group, above indexes of rats in Yishen paidu formula-H+pcDNA-TXNIP group were reversed significantly (P<0.05). CONCLUSIONS Yishen paidu formula can inhibit renal fibrosis in CRF rats by suppressing the ROS/TXNIP/NLRP3 pathway.
2.Diagnostic value of CYFRA21-1,SCC,NSE combined with fibrinogen in pathological type and lymph node metastasis of lung cancer
Bin DONG ; Li ZHANG ; Lingfei HAN ; Wei XUE
International Journal of Laboratory Medicine 2025;46(6):728-732,737
Objective To investigate the diagnostic value of cytokeratin 19 fragment(CYFRA21-1),squa-mous cell carcinoma antigen(SCC),neuron-specific enolase(NSE)combined with fibrinogen(FIB)in patho-logical type and lymph node metastasis of lung cancer.Methods A total of lung cancer patients admitted to Deyu Medical Maanshan General Hospital from September 2022 to March 2024 were selected as the lung canc-er group,including 14 cases of lung squamous cell carcinoma,36 cases of lung adenocarcinoma,8 cases of small cell lung cancer,39 cases of lymph node metastasis and 19 cases of no lymph node metastasis.In addition,45 patients with benign pulmonary lesions in Deyu Medical Ma'anshan General Hospital during the same period were selected as the control group.The levels of CYFRA21-1,SCC,NSE and FIB were compared between the two groups.The receiver operating characteristic(ROC)curve was used to analyze the diagnostic value of CY-FRA21-1,SCC,NSE combined with FIB for pathological type and lymph node metastasis of lung cancer.Re-sults The levels of CYFRA21-1,NSE,SCC and FIB in lung cancer group were higher than those in control group(P<0.05).There were statistically significant differences in CYFRA21-1,NSE,SCC and FIB levels in patients with different pathological types of lung cancer(P<0.05).The levels of FIB and NSE levels in pa-tients with small cell lung cancer were higher than those in patients with lung squamous cell carcinoma and lung adenocarcinoma.The levels of CYFRA21-1 and SCC in patients with lung squamous cell carcinoma were higher than those in patients with lung adenocarcinoma and small cell lung cancer(P<0.05).The levels of CYFRA21-1,NSE,SCC and FIB in patients with lymph node metastasis were higher than those in patients without lymph node metastasis(P<0.05).ROC curve analysis showed that the area under the curve(AUC)of CYFRA21-1,NSE,SCC and FIB alone and in combination were 0.795,0.620,0.672,0.757 and 0.812,re-spectively.The AUC of combined detection in the diagnosis of lung cancer,lung adenocarcinoma,lung squa-mous cell carcinoma,small cell lung cancer and lymph node metastasis were 0.812,0.837,0.786,0.922 and 0.875,respectively.Conclusion CYFRA21-1,SCC,NSE combined with FIB can improve the diagnostic value of pathological type and lymph node metastasis of lung cancer.
3.Mechanism of QingRe HuoXuo Formula against NSCLC based on network pharmacology and molecular docking technology
Bin-bin LI ; Jing-tao ZHANG ; Xue LI ; Yi-yang JIANG ; Shuang SONG ; Xiang-dong XU ; Fei XU
Chinese Pharmacological Bulletin 2025;41(8):1542-1552
Aim To explore the material basis and un-derlying mechanism of Qingre Huoxue Formula(QRHXF)in the treatment of non-small cell lung cancer(NSCLC)by applying network pharmacology,molecular docking technology and bioinformatics com-bined with animal experiments.Methods TCMSP,ECTM,and BATMAN databases were used to obtain active components and corresponding targets of QRHXF;GEO and DisGeNENT databases were con-ducted to acquire NSCLC-associated differential expres-sion genes.By intersecting them,the common targets were obtained.It was chosen to construct a herb-com-ponent-disease network and protein-protein interaction(PPI)network.Furthermore,DAVID database was used to perform gene ontology(GO)function and Kyo-to encyclopedia of genes and genomes(KEGG)path-way enrichment analyses.The molecular docking was presented by adopting Autodock Vina program to verify key targets.RNA-seq datawere downloaded from TC-GA database to obtain differential gene expression.Ka-planMeier(KM)analysis was performed to analyze the relationship between gene expression and overall sur-vival.Mouse subcutaneous tumor model of LLC was established.The effects of QRHXF on body weight,tumor volume and weight were monitored for pharmaco-dynamic analysis.Tumor tissues slides were stained with hematoxylin and eosin(HE)for histopathological examination.Immunohistochemistry(IHC)staining was employed for detecting Ki67 and EP300.Western blot was performed to measure the protein expression of TP53,CDK1 and NTRK1.Results The results of net-work pharmacology showed that a total of seven com-mon targets were screened from NSCLC and QRHXF,and the effect of QRHXF on anti-NSCLC may occur via multiple signaling pathways,including cell cycle.The results of molecular docking indicated that the main ac-tive components of QRHXF had low binding energy and stable docking conformation with the molecular target for treating NSCLC.According to bioinformatic analy-sis,there were significant differences in BRCA1,CDK1 and NTRK1 mRNA expression between tumor tissues and normal tissues,which were also prognostic factors for overall survival.Animal experimental research showed QRHXF inhibited subcutaneous tumor growth(P<0.01)and improved the quality of life in mice with NSCLC.After QRHXF intervention,the density of tumor cells was significantly reduced,and necrotic are-as were increased.The expressions of Ki67 and EP300 were significantly decreased.Compared with the model group,Western blot showed up-regulation of TP53 and NTRKA(P<0.05),whereas CDK1 were down-regu-lated(P<0.05).Conclusion QRHXF exerted anti-NSCLC effects by regulating NTRK1,EP300,TP53,CDK1 and inducing cell cycle,cell cycle arrest and in-hibiting tumor growth,metastasis and angiogenesis.
4.UPLC-MS/MS detection of four synthetic cannabinoids and their metabolites in urban wastewater
Xinyi LI ; Taoren WANG ; Deyun NIU ; Yu XU ; Bin LI ; Jiaxue SUN ; Dan XUE ; Hong LI
Chinese Journal of Forensic Medicine 2025;40(2):213-219
Objective To investigate the application of offline solid-phase extraction-high performance liquid chromatography-tandem mass spectrometry for detecting four synthetic cannabinoids(5F-ADB,5F-MDMB-PICA,4F-MDMB-BUTINACA,and MDMB-4en-PINACA)and their marker metabolites in urban wastewater.Methods Samples were pre-treated using an Oasis PRiME HLB column(60 mg,3CC)and analyzed by ultra-high performance liquid chromatography-triple quadrupole tandem mass spectrometry.The mobile phases consisted of 0.02%formic acid-2 mmol/L ammonium formate aqueous solution and acetonitrile solution,with a WATERS ACQUITY UPLCHSS T3 column.Analysis was conducted in positive ionization mode of the ESI ion source,combining multiple reaction monitoring(MRM),information-dependent acquisition(IDA),and enhanced product ion(EPI)scanning modes for qualitative and quantitative analysis of the eight target compounds.Results Good linearity was observed for 4F-MDMB-BUTINACA-M,5F-ADB,5F-ADB-M,and 5F-MDMB-PICA in the concentration range of 1~250 ng/L;for MDMB-4en-PINACA in the range of 5~250 ng/L;and for 4F-MDMB-BUTINACA,5F-MDMB-PICA-M,and 4F-MDMB-BUTINACA-M in the range of 1~500 ng/L.The recovery rates of samples spiked with different concentrations of the eight target compounds ranged from 87.68%to 104.68%,with matrix effects between 88.61%and 112.78%.Both intra-day and inter-day precision were less than 5%.Conclusion The established method demonstrates good accuracy and reproducibility,making it suitable for qualitative and quantitative detection of four synthetic cannabinoids and their metabolites in urban wastewater.
5.Changing distribution and antimicrobial resistance profiles of clinical isolates in children:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Qing MENG ; Lintao ZHOU ; Yunsheng CHEN ; Yang YANG ; Fupin HU ; Demei ZHU ; Chuanqing WANG ; Aimin WANG ; Lei ZHU ; Jinhua MENG ; Hong ZHANG ; Chun WANG ; Fang DONG ; Zhiyong LÜ ; Shuping ZHOU ; Yan ZHOU ; Shifu WANG ; Fangfang HU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Wei JIA ; Gang LI ; Kaizhen WEN ; Yirong ZHANG ; Yan JIN ; Chunhong SHAO ; Yong ZHAO ; Ping GONG ; Chao ZHUO ; Danhong SU ; Bin SHAN ; Yan DU ; Sufang GUO ; Jiao FENG ; Ziyong SUN ; Zhongju CHEN ; Wen'en LIU ; Yanming LI ; Xiaobo MA ; Yanping ZHENG ; Dawen GUO ; Jinying ZHAO ; Ruizhong WANG ; Hua FANG ; Lixia ZHANG ; Juan MA ; Jihong LI ; Zhidong HU ; Jin LI ; Yuxing NI ; Jingyong SUN ; Ruyi GUO ; Yan ZHU ; Yi XIE ; Mei KANG ; Yuanhong XU ; Ying HUANG ; Shanmei WANG ; Yafei CHU ; Hua YU ; Xiangning HUANG ; Lianhua WEI ; Fengmei ZOU ; Han SHEN ; Wanqing ZHOU ; Yunzhuo CHU ; Sufei TIAN ; Shunhong XUE ; Hongqin GU ; Xuesong XU ; Chao YAN ; Bixia YU ; Jinju DUAN ; Jianbang KANG ; Jiangshan LIU ; Xuefei HU ; Yunsong YU ; Jie LIN ; Yunjian HU ; Xiaoman AI ; Chunlei YUE ; Jinsong WU ; Yuemei LU
Chinese Journal of Infection and Chemotherapy 2025;25(1):48-58
Objective To understand the changing composition and antibiotic resistance of bacterial species in the clinical isolates from outpatient and emergency department(hereinafter referred to as outpatients)and inpatient children over time in various hospitals,and to provide laboratory evidence for rational antibiotic use.Methods The data on clinically isolated pathogenic bacteria and antimicrobial susceptibility of isolates from outpatients and inpatient children in the CHINET program from 2015 to 2021 were collected and analyzed.Results A total of 278 471 isolates were isolated from pediatric patients in the CHINET program from 2015 to 2021.About 17.1%of the strains were isolated from outpatients,primarily group A β-hemolytic Streptococcus,Escherichia coli,and Staphylococcus aureus.Most of the strains(82.9%)were isolated from inpatients,mainly SS.aureus,E.coli,and H.influenzae.The prevalence of methicillin-resistant S.aureus(MRSA)in outpatients(24.5%)was lower than that in inpatient children(31.5%).The MRSA isolates from outpatients showed lower resistance rates to the antibiotics tested than the strains isolated from inpatient children.The prevalence of vancomycin-resistant Enterococcus faecalis or E.faecium and penicillin-resistant S.pneumoniae was low in either outpatients or inpatient children.S.pneumoniae,β-hemolytic Streptococcus and S.viridans showed high resistance rates to erythromycin.The prevalence of erythromycin-resistant group A β-hemolytic Streptococcus was higher in outpatients than that in inpatient children.The prevalence of β-lactamase-producing H.influenzae showed an overall upward trend in children,but lower in outpatients(45.1%)than in inpatient children(59.4%).The prevalence of carbapenem-resistant Klebsiella pneumoniae(CRKpn),carbapenem-resistant Pseudomonas aeruginosa(CRPae)and carbapenem-resistant Acinetobacter baumannii(CRAba)was 14%,11.7%,47.8%in outpatients,but 24.2%,20.6%,and 52.8%in inpatient children,respectively.The prevalence of multidrug-resistant E.coli,K.pneumoniae,Proteus mirabilis,P.aeruginosa and A.baumannii strains was lower in outpatients than in inpatient children.The prevalence of fluoroquinolone-resistant E.coli,ESBLs-producing K.pneumoniae,ESBLs-producing P.mirabilis,carbapenem-resistant E.coli(CREco),CRKpn,and CRPae was lower in children in outpatients than in inpatient children,but the prevalence of CRAba in 2021 was higher than in inpatient children.Conclusions The distribution of clinical isolates from children is different between outpatients and inpatients.The prevalence of MRSA,ESBL,and CRO was higher in inpatient children than in outpatients.Antibiotics should be used rationally in clinical practice based on etiological diagnosis and antimicrobial susceptibility test results.Ongoing antimicrobial resistance surveillance and prevention and control of hospital infections are crucial to curbing bacterial resistance.
6.Surveillance of antimicrobial resistance in clinical isolates of Escherichia coli:results from the CHINET Antimicrobial Resistance Surveillance Program,2015-2021
Shanmei WANG ; Bing MA ; Yi LI ; Yang YANG ; Fupin HU ; Demei ZHU ; Yingchun XU ; Xiaojiang ZHANG ; Zhaoxia ZHANG ; Ping JI ; Yi XIE ; Mei KANG ; Chuanqing WANG ; Aimin WANG ; Yuanhong XU ; Ying HUANG ; 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 ; 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 ; 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 ; Wenhui HUANG ; Ruizhong WANG ; Hua FANG ; Bixia YU ; Yong ZHAO ; Ping GONG ; Kaizhen WEN ; 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(1):39-47
Objective To investigate the changing antibiotic resistance profiles of E.coli isolated from patients in the 52 hospitals participating in the CHINET program from 2015 to 2021.Methods Antimicrobial susceptibility was tested for clinical isolates of E.coli according to the unified protocol of CHINET program.WHONET 5.6 and SPSS 20.0 software were used for data analysis.Results Atotal of 289 760 nonduplicate clinical strains ofE.coli were isolated from 2015 to 2021,mainly from urine samples(44.7±3.2)%.The proportion of E.coli strains isolated from urine samples was higher in females than in males(59.0%vs 29.5%).The proportion of E.coli strains isolated from respiratory tract and cerebrospinal fluid samples was significantly higher in children than in adults(16.7%vs 7.8%,0.8%vs 0.1%,both P<0.05).The isolates from internal medicine department accounted for the largest proportion(28.9±2.8)%with an increasing trend over years.Overall,the prevalence of ESBLs-producing E.coli and carbapenem resistant E.coli(CREco)was 55.9%and 1.8%,respectively during the 7-year period.The prevalence of ESBLs-producing E.coli was the highest in tertiary hospitals each year from 2015 to 2021 compared to secondary hospitals.The prevalence of CREco was higher in children's hospitals compared to secondary and tertiary hospitals each year from 2015 to 2021.The prevalence of ESBLs-producing E.coli in tertiary hospitals and children's hospitals and the prevalence of CREco in children's hospitals showed a decreasing trend over the 7-year period.The prevalence of CREco in secondary and tertiary hospitals increased slowly.Antibiotic resistance rates changed slowly from 2015 to 2021.Carbapenem drugs(imipenem,meropenem)were the most active drugs amongβ-lactams against E.coli(resistance rate≤2.1%).The resistance rates of E.coli to β-lactam/β-lactam inhibitor combinations(piperacillin-tazobactam,cefoperazone-sulbactam),aminoglycosides(amikacin),nitrofurantoin and fosfomycin(for urinary isolates only)were all less than 10%.The resistance rate of E.coli strains to antibiotics varied with the level of hospitals and the departments where the strains were isolated,especially for cefazolin and ciprofloxacin,to which the resistance rate of E.coli strains from children in non-ICU departments was significantly lower than that of the strains isolated from other departments(P<0.05).The E.coli isolates from ICU showed higher resistance rate to most antimicrobial agents tested(excluding tigecycline)than the strains isolated from other departments.The E.coli strains isolated from tertiary hospitals showed higher resistance rates to the antimicrobial agents tested(excluding tigecycline,polymyxin B,cefepime and carbapenems)than the strains from secondary hospitals and children's hospitals.Conclusions E.coli is an important pathogen causing clinical infection.More than half of the clinical isolates produced ESBL.The prevalence of CREco is increasing in secondary and tertiary hospitals over the 7-year period even though the overall prevalence is still low.This is an issue of concern.
7.Targeted therapy for systemic lupus erythematosus
Chinese Journal of Dermatology 2025;58(8):781-784
The exploration of novel targeted therapies for systemic lupus erythematosus (SLE) has always been a research hot topic in China and other countries. In recent years, there has been an increasingly in-depth understanding of the pathogenesis of SLE. The approval of belimumab, telitacicept, and anifrolumab for clinical application marked a breakthrough in the treatment of SLE. In addition, novel agents targeting other B-cell/plasma cell antigens, T cells, neutrophils, and multiple inflammatory signaling pathways are emerging, which may provide more treatment options for SLE. This review summarizes research progress in targeted therapies for SLE based on the latest clinical trials, providing a basis for individualized treatment of SLE.
8.Isolation,identification,and biological characterization of enterotoxigenic Escherichia coli from a South China tiger
Jing-ru XU ; Zhi-hao ZHU ; Yu-qi LI ; Si-si FAN ; Ya-li KANG ; Yu-bin ZHUO ; Ling-shan HUANG ; Shu-qi QIU ; XUE-YUXI ; Xiao-ping WU ; Yu-ting LIAO ; Wei-ye LIN ; Xiao-ziyi XIAO ; Xue-jin LI ; Teng-teng CHEN ; Xi-pan LIN ; Kai-xiong LIN ; Ke-wei FAN
Chinese Journal of Zoonoses 2025;41(6):567-573
This study was aimed at identifying the pathogenic bacteria responsible for the death of a young tiger at the Fujian Meihua Mountain South China Tiger Breeding Research Institute.Tissue samples from the lungs,liver,and intestines of the deceased tiger were collected,and the bacteria were cultured inasterile environment.The bacterial strains were characterized according to their morphological and molecular biological properties,including assessment of virulence genes and antibiotic resistance genes,mouse lethality tests,and antibiotic susceptibility evaluations.A predominant bacterial strain isolated from the liver of the deceased tiger was identified as enterotoxigenic Escherichia coli(ETEC)strain Tiger22513F.Phylogenetic analysis of the 16S rRNA gene revealed that the Tiger22513F strain exhibited close genetic similarity to the reference strain ETEC(MF919609.1),with 99.9%nucleotide similarity,and resided on the same evolutionary branch.The Tiger22513F strain contained 11 antibiotic resistance genes(tetA,sul1,sul3,cmlA,floR,blaTEM,blaSHV,blaCMY-2,qnrA,qnrS,and qnrD)along with five virulence genes(VT1,fyuA,tsh,iucD,and ST).Mouse lethality tests indicated significant pathogenicity toward mice,affecting primarily the lungs,liver,and intestines.Antibiotic susceptibility testing demonstrated that this strain exhibited resistance to various classes of beta-lactam antibiotics,as well as quinolones and aminoglycosides.This investigation successfully isolated a multi-drug resistant enterotoxigenic Escherichia coli strain with pronounced pathogenicity from the liver of a deceased tiger;thus providing valuable scientific insights for clinical diagnosis,as well as prevention and control measures,against ETEC infections in South China tigers.
9.Effects of Prognostic Nutritional Index and Systemic Inflammatory Response Index on Short-Term Efficacy and Prognosis in Patients with Peripheral T-Cell Lymphoma.
Zi-Qing HUANG ; Yan-Hui LI ; Bin LYU ; Xue-Jiao GU ; Ming-Xi TIAN ; Xin-Yi LI ; Yan ZHANG ; Xiao-Qian LI ; Ying WANG ; Feng ZHU
Journal of Experimental Hematology 2025;33(5):1350-1357
OBJECTIVE:
To investigate the predictive value of the prognostic nutritional index (PNI) and systemic inflammatory response index (SIRI) for short-term efficacy and prognosis in newly treated patients with peripheral T-cell lymphoma (PTCL).
METHODS:
The general data, laboratory indicators, disease stage and other clinical data of 91 newly treated PTCL patients admitted to the Affiliated Hospital of Xuzhou Medical University from January 2015 to December 2023 were retrospectively analyzed. The optimal cutoff values for PNI and SIRI were determined using receiver operating characteristic (ROC) curves, and the patients were stratified into groups based on these cutoffs to compare clinical features and short-term efficacy between the different groups. Kaplan-Meier method was used to plot survival curves, and univariate and multivariate analyses were performed to identify the factors affecting overall survival (OS).
RESULTS:
The optimal cutoff values for PNI and SIRI were 45.30 and 1.74×109/L, respectively. Patients in different PNI groups showed statistically significant differences in age, Ann Arbor stage, lactate dehydrogenase (LDH) level, international prognostic index (IPI), prognostic index for PTCL-not otherwise specified (PIT), pathological subtypes, and complete response (CR) rate (P < 0.05). PTCL patients in different SIRI groups exhibited significant differences in Ann Arbor stage, LDH level, IPI score, PIT score, and CR rate (P < 0.05). Logistic regression analysis showed that age ≥60 years old (OR =2.750), Ann Arbor stage Ⅲ-Ⅳ (OR =5.200), IPI score ≥2 (OR =7.650), low PNI (OR =3.296), and high SIRI (OR =3.130) were independent risk factors affecting treatment efficacy in PTCL patients (P < 0.05). Cox proportional hazards regression model analysis showed that low PNI and elevated β2-microglobulin (β2-MG) levels were independent risk factors affecting OS (P < 0.05).
CONCLUSION
PNI and SIRI have certain application value in evaluating short-term efficacy and prognosis in patients with PTCL. Compared with SIRI, PNI demonstrates greater predictive value for patient prognosis.
Humans
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Prognosis
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Lymphoma, T-Cell, Peripheral/therapy*
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Retrospective Studies
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Nutrition Assessment
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Male
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Female
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Middle Aged
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ROC Curve
;
Inflammation
10.Association between post-COVID-19 sleep disturbance and neurocognitive function: a comparative study based on propensity score matching.
Shixu DU ; Leqin FANG ; Yuanhui LI ; Shuai LIU ; Xue LUO ; Shufei ZENG ; Shuqiong ZHENG ; Hangyi YANG ; Yan XU ; Dai LI ; Bin ZHANG
Journal of Zhejiang University. Science. B 2025;26(2):172-184
Despite that sleep disturbance and poor neurocognitive performance are common complaints among coronavirus disease 2019 (COVID-19) survivors, few studies have focused on the effect of post-COVID-19 sleep disturbance (PCSD) on cognitive function. This study aimed to identify the impact of PCSD on neurocognitive function and explore the associated risk factors for the worsening of this condition. This cross-sectional study was conducted via the web-based assessment in Chinese mainland. Neurocognitive function was evaluated by the modified online Integrated Cognitive Assessment (ICA) and the Number Ordering Test (NOT). Propensity score matching (PSM) was utilized to match the confounding factors between individuals with and without PCSD. Univariate analyses were performed to evaluate the effect of PCSD on neurocognitive function. The risk factors associated with worsened neurocognitive performance in PCSD individuals were explored using binary logistic regression. A total of 8692 individuals with COVID-19 diagnosis were selected for this study. Nearly half (48.80%) of the COVID-19 survivors reported sleep disturbance. After matching by PSM, a total of 3977 pairs (7954 individuals in total) were obtained. Univariate analyses revealed that PCSD was related to worse ICA and NOT performance (P<0.05). Underlying disease, upper respiratory infection, loss of smell or taste, severe pneumonia, and self-reported cognitive complaints were associated with worsened neurocognitive performance among PCSD individuals (P<0.05). Furthermore, aging, ethnicity (minority), and lower education level were found to be independent risk factors for worsened neurocognitive performance in PCSD individuals (P<0.05). PCSD was related to impaired neurocognitive performance. Therefore, appropriate prevention and intervention measures should be taken to minimize or prevent PCSD and eliminate its potential adverse effect on neurocognitive function.
Humans
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COVID-19/epidemiology*
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Male
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Female
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Sleep Wake Disorders/epidemiology*
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Propensity Score
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Middle Aged
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Cross-Sectional Studies
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Adult
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SARS-CoV-2
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Aged
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Risk Factors
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China/epidemiology*
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Cognition
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Cognitive Dysfunction/etiology*
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Neuropsychological Tests

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