Objective To investigate the current status of symptom burden and psychological distress among lung cancer patients in the diagnostic phase, and to explore the chain mediating role of social support and resilience between symptom burden and psychological distress. Methods The patients with lung cancer in the diagnostic phase who were treated in the Department of Thoracic Surgery of the Second Xiangya Hospital of Central South University from October 2022 to June 2023 were investigated by a general information questionnaire using the MD Anderson Symptom Inventory, the Social Support Rating Scale, the Connor-Davidson Resilience Scale, and the Distress Thermometer. The chain mediating role of social support and resilience between symptom burden and psychological distress was analyzed. Results A total of 413 lung cancer patients were enrolled, including 173 males and 240 females, aged (54.69±10.82) years. The detection rate of psychological distress among lung cancer patients in the diagnostic phase was 48.18%, and the average score was (3.84±2.50) points. Psychological distress was positively correlated with symptom burden (P<0.01), and negatively correlated with social support and resilience (P<0.01). The mediating effect of resilience between symptom burden and psychological distress was significant. The chain mediating effect of social support and resilience between symptom burden and psychological distress was also significant. Conclusion Lung cancer patients in the diagnostic phase have a high detection rate of psychological distress. Symptom burden can directly impact psychological distress, and can affect psychological distress through the indirect path of resilience as well as the chain mediating path between social support and resilience among lung cancer patients in the diagnostic phase.

Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning models were established to distinguish between osteoarthritis (OA) and rheumatoid arthritis (RA). Methods 100 OA and 40 RA patients scheduled for total knee arthroplasty were enrolled respectively. Each patient's knee joint fluid was collected preoperatively. Nucleated cells were counted and classified. The expression levels of immune factors, including tumor necrosis factor alpha (TNF-α), interleukin-1 beta (IL-1β), IL-6, IL-8, IL-15, matrix metalloproteinase 3 (MMP3), MMP9, MMP13, rheumatoid factor (RF), serum amyloid A (SAA), C-reactive protein (CRP), and others were measured. Smears and microscopic classification of all the immune factors were performed. Independent influencing factors for OA or RA were identified using univariate binary logistic regression, Lasso regression, and multivariate binary logistic regression. Based on the independent influencing factors, three machine learning models were constructed which are logistic regression, random forest, and support vector machine. Receiver operating characteristic curve (ROC), calibration curve and decision curve analysis (DCA) were used to evaluate and compare the models. Results A total of 5 indicators in the knee joint fluid were screened out to distinguish OA and RA, which were IL-1β(odds ratio(OR)=10.512, 95× confidence interval (95×CI) was 1.048-105.42, P=0.045), IL-6 (OR=1.007, 95×CI was 1.001-1.014, P=0.022), MMP9 (OR=3.202, 95×CI was 1.235-8.305, P=0.017), MMP13 (OR=1.002, 95× CI was 1-1.004, P=0.049), and RF (OR=1.091, 95×CI was 1.01-1.179, P=0.026). According to the results of ROC, calibration curve and DCA, the accuracy (0.979), sensitivity (0.98) and area under the curve (AUC, 0.996, 95×CI was 0.991-1) of the random forest model were the highest. It has good validity and feasibility, and its distinguishing ability is better than the other two models. Conclusion The machine learning model based on immune factors in the knee joint fluid holds significant value in distinguishing OA and RA. It provides an important reference for the clinical early differential diagnosis, prevention and treatment of OA and RA.
Humans ; Arthritis, Rheumatoid/metabolism* ; Machine Learning ; Male ; Female ; Middle Aged ; Aged ; Synovial Fluid/immunology* ; Osteoarthritis, Knee/metabolism* ; Knee Joint/metabolism* ; ROC Curve ; Diagnosis, Differential

OBJECTIVE: To investigate the effects of liriodendrin on the intestinal flora and the ferroptosis signaling pathway in renal tissue of rats with sepsis-induced acute kidney injury (AKI). METHODS: Thirty male Sprague-Dawley (SD) rats were randomly divided into sham operation group (Sham group), sepsis model induced by cecal ligation and puncture group (CLP group), and liriodendrin intervention group (CLP+LIR group), with 10 rats in each group. The CLP+LIR group was given 0.2 mL of 100 mg/kg liriodendrin by gavage 2 hours before modeling; Sham group and CLP group were given the same volume of normal saline by gavage. The samples were collected after anesthesia 24 hours after modeling. The pathological changes of renal tissue were observed by hematoxylin-eosin (HE) staining. The levels of inflammatory factors such as tumor necrosis factor-α (TNF-α), interleukins (IL-1β, IL-6) were detected by enzyme linked immunosorbent assay (ELISA). The levels of renal function indicators such as creatinine (Cr), and urea nitrogen (UREA) in peripheral blood, and the content of malondialdehyde (MDA) and Fe²⁺ in renal tissue were detected. Western blotting was used to detect the expressions of nuclear factor E2-related factor 2 (Nrf2), glutathione peroxidase 4 (GPX4) and heme oxygenase-1 (HO-1) in renal tissues. The changes of intestinal flora were detected by 16S rDNA high-throughput sequencing. RESULTS: Compared with the Sham group, the CLP group showed significantly enlarged glomeruli, noticeable renal interstitial edema, disorganized kidney tissue, and significantly increased pathological scores. The contents of TNF-α, IL-1β, IL-6, Cr, and UREA in peripheral blood and the levels of MDA and Fe²⁺ in renal tissue were significantly increased. The protein expressions of Nrf2, GPX4, and HO-1 in renal tissue were significantly down-regulated. The species richness of intestinal flora decreased significantly, and the relative abundances of pathogenic bacteria such as Morganella, Citrobacter, Proteus, Klebsiella, Shigella, Aggregatibacter, and Enterococcus increased significantly, while the relative abundances of beneficial bacteria such as Butyricimonas, Veillonella, Prevotella, Lactobacillus, Bifidobacterium, and Ruminococcus decreased significantly. Compared with the CLP group, CLP+LIR group could significantly reduce the pathological damage of renal tissue, the pathological score significantly decreased (1.80±0.84 vs. 4.20±1.30, P < 0.05), and improve the composition of intestinal flora, reduce the relative abundances of pathogenic bacteria such as Proteus, Klebsiella, Shigella, Aggregatibacter, and Enterococcus, and significantly increase the relative abundances of Lactobacillus, Bifidobacterium, and Ruminococcus, significantly reduce the contents of TNF-α, IL-1β, IL-6, Cr, and UREA in peripheral blood and the levels of MDA and Fe²⁺ in renal tissue [blood TNF-α (ng/L): 191.31±7.23 vs. 254.90±47.89, blood IL-1β (ng/L): 11.15±4.04 vs. 23.06±1.67, blood IL-6 (ng/L): 163.20±17.83 vs. 267.69±20.92, blood Cr (μmol/L): 24.14±4.25 vs. 41.17±5.43, blood UREA (mmol/L): 4.59±0.90 vs. 8.01±1.07, renal MDA (μmol/g): 9.67±0.46 vs. 16.05±0.88, renal Fe²⁺ (mg/g): 0.71±0.07 vs. 0.93±0.04, all P < 0.05], and increase the protein expressions of Nrf2, GPX4, and HO-1 (Nrf2/GAPDH: 1.21±0.01 vs. 0.39±0.01, GPX4/GAPDH: 0.74±0.04 vs. 0.48±0.04, HO-1/GAPDH: 0.91±0.01 vs. 0.41±0.02, all P < 0.05). CONCLUSIONS Liriodendrin has an obvious protective effect on sepsis-induced AKI. The mechanism may involve regulating the intestinal flora, increasing the activation of the Nrf2/HO-1/GPX4 signaling pathway in renal tissue, and reducing ferroptosis.
Animals ; Acute Kidney Injury/microbiology* ; Rats, Sprague-Dawley ; Sepsis/complications* ; Male ; Ferroptosis/drug effects* ; Gastrointestinal Microbiome/drug effects* ; Rats ; Signal Transduction ; Kidney/metabolism* ; Tumor Necrosis Factor-alpha/metabolism*

Ulcerative colitis (UC) is a chronic and non-specific inflammatory bowel disease (IBD). Huanglian Ganjiang decoction (HGD), derived from ancient book Beiji Qianjin Yao Fang, has demonstrated efficacy in treating UC patients traditionally. Previous research established that the compatibility of cold herb Coptidis Rhizoma + Phellodendri Chinensis Cortex (CP) and hot herb Angelicae Sinensis Radix + Zingiberis Rhizoma (AZ) in HGD synergistically improved colitis mice. This study investigated the compatibility mechanisms through which CP and AZ regulated inflammatory balance in colitis mice. The experimental colitis model was established by administering 3% dextran sulphate sodium (DSS) to mice for 7 days, followed by CP, AZ and CPAZ treatment for an additional 7 days. M1/M2 macrophage polarization levels, glucose metabolites levels and pyruvate dehydrogenase kinase 4 (PDK4) expression were analyzed using flow cytometry, Western blot, immunofluorescence and targeted glucose metabolomics. The findings indicated that CP inhibited M1 macrophage polarization, decreased inflammatory metabolites associated with tricarboxylic acid (TCA) cycle, and suppressed PDK4 expression and pyruvate dehydrogenase (PDH) (Ser-293) phosphorylation level. AZ enhanced M2 macrophage polarization, increased lactate axis metabolite lactate levels, and upregulated PDK4 expression and PDH (Ser-293) phosphorylation level. TCA cycle blocker AG-221 and adeno-associated virus (AAV)-PDK4 partially negated CP's inhibition of M1 macrophage polarization. Lactate axis antagonist oxamate and PDK4 inhibitor dichloroacetate (DCA) partially reduced AZ's activation of M2 macrophage polarization. In conclusion, the compatibility of CP and AZ synergistically alleviated colitis in mice through M1/M2 macrophage polarization balance via PDK4-mediated glucose metabolism reprogramming. Specifically, CP reduced M1 macrophage polarization by restoration of TCA cycle via PDK4 inhibition, while AZ increased M2 macrophage polarization through activation of PDK4/lactate axis.
Animals ; Drugs, Chinese Herbal/chemistry* ; Mice ; Macrophages/immunology* ; Glucose/metabolism* ; Pyruvate Dehydrogenase Acetyl-Transferring Kinase/genetics* ; Male ; Mice, Inbred C57BL ; Humans ; Colitis/drug therapy* ; Disease Models, Animal ; Colitis, Ulcerative/drug therapy* ; Metabolic Reprogramming

The microbiological quality of laboratory animals is crucial for the validity and reproducibility of scientific research data,as well as human health and animal welfare.Currently,individual ventilation cages(IVC)have become the mainstream feeding system for rodent laboratory animals.The most commonly used pathogen monitoring method for this feeding system is soiled bedding sentinels(SBS).This method monitors the microbial carrying status of mouse colony through indirect contact and delayed feedback.It can effectively monitor pathogens transmitted via the fecal-oral route,such as mouse hepatitis virus and reovirus.However,this method has difficulty detecting pathogens mainly transmitted through aerosols or direct contact,such as Sendai virus and Pasteurella pneumotropica.The exhaust air dust(EAD)-PCR monitoring method involves swab sampling in the IVC exhaust ducts to monitor the corresponding racks of the ducts;swab sampling before the prefiltration of the host to monitor the entire IVC rack;and EAD collection device sampling to monitor all racks connected to the same host.Different IVC manufacturers have developed corresponding EAD collection devices for their respective IVC systems,making operations convenient and standardization easy.Compared with the SBS method,the EAD-PCR method significantly improves detection rate and timeliness,with the fastest detection possible after one week of exposure.It can serve as a supplement or replacement for the SBS method.Currently,increasing evidence supports that EAD-PCR testing is a more reliable,sensitive,and cost-effective monitoring method,and is more beneficial to animal welfare.This article reviews the application progress of these two methods for monitoring pathogens,analyzes the existing limitations of the EAD-PCR method,and proposes solutions based on its implementation in our laboratory and examination units.The EAD-PCR method helps reduce the number of live sentinel animals used in pathogen monitoring,in order to better maintain the"3Rs"principle of laboratory animal welfare.

Objective To investigate the expression levels of selenoprotein genes in the patients with coronavirus disease 2019(COVID-19)and the possible regulatory mechanisms.Methods The dataset GSE177477 was obtained from the Gene Expression Omnibus,consisting of a symptomatic group(n=11),an asymptomatic group(n=18),and a healthy control group(n=18).The dataset was preprocessed to screen the differentially expressed genes(DEG)related to COVID-19,and gene ontology functional annotation and Kyoto encyclopedia of genes and genomes enrichment analysis were performed for the DEGs.The protein-protein interaction network of DEGs was established,and multivariate Logistic regression was employed to analyze the effects of selenoprotein genes on the presence/absence of symptoms in the patients with COVID-19.Results Compared with the healthy control,the symptomatic COVID-19 patients presented up-regulated expression of GPX1,GPX4,GPX6,DIO2,TXNRD1,SELENOF,SELENOK,SELENOS,SELENOT,and SELENOW and down-regulated ex-pression of TXNRD2 and SELENON(all P＜0.05).The asymptomatic patients showcased up-regulated expres-sion of GPX2,SELENOI,SELENOO,SELENOS,SELENOT,and SELENOW and down-regulated expression of SELP(all P＜0.05).The results of multivariate Logistic regression analysis showed that the abnormally high expression of GPX1(OR=0.067,95％CI=0.005-0.904,P=0.042)and SELENON(OR=56.663,95％CI=3.114-856.999,P=0.006)was the risk factor for symptomatic COVID-19,and the abnormally high expres-sion of SELP was a risk factor for asymptomatic COVID-19(OR=15.000,95％CI=2.537-88.701,P=0.003).Conclusions Selenoprotein genes with differential expression are involved in the regulation of COVID-19 development.The findings provide a new reference for the prevention and treatment of COVID-19.

Objective To explore the preventive effect of pneumatic compression therapy combined with infrared irradiation against lower extremity deep vein thrombosis(DVT)in critically ill patients.Methods A total of 150 critically ill patients from January 2021 to January 2023 in the Intensive Care Unit,Quanzhou First Hospital Affiliated to Fujian Medical University were selected and divided into control group and observation group,with 75 cases in each group.The control group patients were treated with conventional rehabilitation measures combined with the boot-type intermittent pneumatic compression therapy device for intermittent inflation and compression therapy,while the observation group patients received the bioinformatic feedback infrared therapy besides the treatment in control group.The incidence of DVT,the average time for swelling and pain reduction,the average time for swelling and pain disappearance,total hospitalization time,the hemodynamic indexes of the lower extremities,coagulation indexes,D-dimer,the recurrence rate of swelling and pain,satisfaction with the rehabilitation,and therapeutic efficacy were recorded.Results After 3 months of discharge,the rate of post-discharge swelling and pain recurrence in observation group was 2.67％(2/75),obviously lower than 10.66％(8/75)in control group(P＜0.05).After 14 days of intervention,the lower extremity deep vein blood flow velocity and peak blood velocity of the two groups increased significantly as compared with those before intervention(P＜0.05),and those were greater in observation group than in control group(P＜0.05).After 14 days of intervention,the coagulation indexes(PT,TT,FIB)and D-dimer level were significantly lower or shorter in both groups as compared with those before intervention(P＜0.05);and observation group had shorter PT and TT,and lower levels of FIB and D-dimer than control group(P＜0.05).The average time for swelling and pain reduction,the average time for swelling and pain disappearance,and the total hospitalization time were shorter and the incidence of DVT was obviously lower in observation group as compared with control group(P＜0.05).The overall response rates of 14-day intervention in observation group vs control group were 97.33％(73/75)vs 88.00％(66/75)(P＜0.05).At the discharge,the satisfaction rates in observation group vs control group were 96.00％vs 85.34％(P＜0.05).Conclusion The combination of bioinformatic feedback infrared therapy and boot-type intermittent pneumatic compression therapy device for intermittent inflation and compression therapy can shorten the average time for swelling and pain reduction,the average time for swelling and pain disappearance and the total hospitalization time,enhance the hemodynamics of the lower extremities,improve the coagulation function and D-dimer level,and improve the satisfaction with the rehabilitation and clinical efficacy,worthy of clinical promotion.

Objective To investigate the effect of Galangin on pyroptosis of bone marrow derived macrophages(BMDMs).Methods BMDMs were cultured in vitro and divided into blank control group,model group and Galangin group with different concentrations.Lipopolysaccharide(LPS)and adenosine triphosphate(ATP)were used to construct the pyroptosis model.The effect of different concentrations of Galangin on the proliferation of BMDMs was detected by cell counting Kit-8(CCK-8).The level of cysteinyl aspartate specific proteinase-1 p10 subunit(caspase-1 p10),interleukin-1β(IL-1β)in supernatant and intracellular nucleotide NOD-like receptor protein 3(NLRP3)were detected by Western blotting.IL-1β in supernatant was detected by enzyme-linked immunosorbent assay(ELISA).The cell death was observed by propidium iodide(PI)staining.High-throughput sequencing was used to compare the gene expression in the model group and Galangin groups at 20 μmol/L.Results There was no statistically significant difference between the 5,10,20,40,60,80 μmol/L Galangin groups on the proliferation level of BMDMs(all P>0.05),indicating that no significant effect of Galangin at 5,10,20,40,60,80 μmol/L was observed on the proliferation of BMDMs.So we selected Galangin at 5,10,20 μmol/L and treatment for 1,2 and 4 hours as the effects of different concentrations and time on the pyroptosis of BMDMs.Compared with blank control group,the expression of caspase-1 p10 and mature IL-1β protein and IL-1β in supernatant in model group were significantly increased(all P<0.05).Compared with model group,the expression of caspase-1 p10 and mature IL-1β protein and IL-1β in supernatant of Galangin at 5,10 and 20 μmol/L were significantly decreased[IL-1β protein expression(gray value):0.155±0.006,0.113±0.006,0.111±0.007 vs.1.000±0.000,caspase-1 p10 protein expression(gray value):0.207±0.044,0.160±0.008,0.082±0.008 vs.1.000±0.000,IL-1β(μg/L):99.80±10.36,85.21±8.78,26.53±4.56 vs.494.10±35.47,all P<0.05].There was no significant difference between the different concentration groups(all P>0.05),but with the extension of treatment time of Galangin,the inhibitory effect was enhanced.The inhibitory effect of Galangin at 20 μmol/L for 4 hours was the most obvious[IL-1β protein expression(gray value):0.186±0.004 vs.1.000±0.000,caspase-1 p10 protein expression(gray value):0.247±0.009 vs.1.000±0.000,IL-1β(μg/L):173.80±10.56 vs.653.80±76.02,all P<0.05].Treatment with 20 μmol/L Galangin for 4 hours could reduce the number of pyroptotic cell deaths(number of view:23.00±3.61 vs.67.67±15.63,P<0.05)and inhibited the expression of NLRP3 protein(gray value:0.178±0.025 vs.0.406±0.066,P<0.05).High-throughput sequencing showed that,compared with the model group,Galangin down-regulated the genes of Nlrp3,Nod2,IL-1β and up-regulated genes of Skp2(also known as Fbxl1),Fbxl20,Fbxl4,Fbxo32 and Fbxw7.Conclusion Galangin inhibited pyroptosis mediated by NLRP3 inflammasome in macrophages.

Objective:To investigate the safety of tocilizumab (TCZ) in the treatment of children with systemic juvenile idiopathic arthritis (sJIA).Methods:Data of children aged 2 to 18 years with the diagnosis of sJIA and treated with TCZ from June 1, 2017 to June 30, 2022 at our hospital were retrospectively collected. The clinical medication characteristics, incidence, severity and outcome of adverse drug reactions (ADR) were statistically analyzed. Univariate and multivariate analysis were used to analyze the risk factors of TCZ-induced ADR. Univariate comparison between groups were compared to the measured data followed by t test for normal distribution, and the counting data were paired with Chi-square test. Binary logistic regression analysis was used for multivariate analysis. Results:A total of 83 eligible children were enrolled. The age at TCZ initiation was (8.5±3.7) years old. Most of the children received oral glucocorticoid (86.8%) and/or methotrexate (72.3%) prior to TCZ treatment. The mean time of TCZ duration was (1.2±0.9) years, the total TCZ exposure was 92.70 patient years. Fifty-five (66.3%) children reported 123 ADR, with a rate of 132.69/100 patient years. Forty-two (50.6%) children reported 103 general ADR, with a rate of 111.11/100 patient years. Eighteen (21.7%) children reported 20 serious ADR, with a rate of 21.57/100 patient years. The results of univariate analysis showed that the dosage of glucocorticoid in ADR group was higher than that in non-ADR group [(0.76±0.50) mg·kg -1·d -1vs. (0.52±0.41) mg·kg -1·d -1, t=2.27, P=0.026], and the difference was statistically significant. However, there were no significant differences in gender [(male 23, female 32) cases vs. (male 9, female 19) cases, χ2=0.73, P=0.392], age at TCZ initiation [(8.5±3.8) years old vs. (9.0±3.1) years old, t=-0.65, P=0.516], duration of TCZ treatment [(1.24±1.00) years vs. (1.05±0.90) years, t=0.87, P=0.385], methotrexate doses weekly [(8.0±5.2) mg/m 2vs. (7.6±5.1) mg/m 2, t=0.39, P=0.696], and history of drug or food allergy (11 cases vs. 5 cases, χ2=0.06, P=0.815) between the two groups. The results of binary logistic regression analysis showed that the combined use of oral glucocorticoids was an independent risk factor for TCZ-induced ADR [ OR (95% CI) =3.05 (1.11, 8.36), P=0.030]. The risk of ADR was 3.05 times higher in the combined daily dose of glucocorticoids ≥0.76 mg/kg prednisone equivalent than that of < 0.76 mg/kg. Common general ADR to TCZ include infections (38.83/100 patient years) and abnormalities in laboratory parameters (37.76/100 patient years) such as elevated glutamic-pyrupiane transaminase (18.34/100 patient years), dyslipidemia (12.94/100 patient years), and hemocytopenia (5.39/100 patient years). The serious ADR included serious infection (9.71/100 patient years) and serious infusion reaction(7.55/100 patient years). All ADR were improved after drug withdrawal or symptomatic treatment, and no deaths occurred. Conclusion:TCZ has a good safety profile in the treatment of sJIA. Serious infections and severe infusion reactions often lead to discontinuation of the drug. The combination of glucocorticoids≥0.76 mg/kg prednisone equivalent is an independent risk factor for TCZ-induced ADR. Monitoring should be strengthened during the application of TCZ, and ADR should be detected and treated as early as possible to reduce the risk of medication related adverse reactions.

The usage of electronic cigarettes (e-cigarettes) sparked an outbreak of unidentified vaping-related lung disease in the US during late 2019. With e-cigarettes becoming more and more popular, smokers have more options other than conventional cigarettes. Under these circumstances, a comprehensive evaluation of the general safety of new tobacco and tobacco-related products, represented by e-cigarettes, to human health is necessary. In this review, we summarize the current research on potential negative impacts of e-cigarette exposure on human health. In particular, studies detailing the relationship between e-cigarettes and the digestive system are summarized, with mechanisms mainly including hepatic metabolic dysfunction, impaired gut barrier, and worsened outcomes of inflammatory bowel disease (IBD). Although believed to be safer than traditional cigarettes, e-cigarettes exert adverse effects on systemic health and induce the development of multiple diseases including asthma, cardiovascular disease, and IBD. Moreover, nicotine-containing e-cigarettes have a negative impact on the childhood development and increase the risk of arterial stiffness compared to the non-nicotine e-cigarettes. However, non-nicotine e-cigarette components have detrimental effects including promoting liver damage and metabolic disorders.