Objective To analyze the clinical and therapeutic characteristics of Epstein-Barr virus (EBV)-negative posttransplant lymphoproliferative disease (PTLD) with diffuse large B-cell lymphoma (DLBCL) in the context of specific cases and literature. Methods A case of EBV-negative DLBCL (GCB type) after kidney transplantation is reported. The patient was a 45-year-old male who underwent living-related kidney transplantation in 2016 and has been receiving triple immunosuppressive therapy with tacrolimus, mycophenolate mofetil and methylprednisolone since then. In 2024, the patient presented with intermittent fever, night sweats and gastrointestinal symptoms. The diagnosis was confirmed by endoscopic pathology, immunohistochemical staining and positron emission tomography/computed tomography. The R-CDOP regimen (rituximab + cyclophosphamide + liposomal doxorubicin + vincristine + dexamethasone) was used for treatment. Results The patient was diagnosed with EBV-negative DLBCL (GCB type, Ann Arbor stage Ⅳ B). After 4 cycles of R-CDOP chemotherapy, the efficacy assessment was partial remission, and the transplant kidney function remained stable. Conclusions For EBV-negative PTLD after kidney transplantation, it is necessary to break through the "virus-dependent" diagnostic thinking. In clinical practice, the focus should be on protecting the transplant kidney, and individualized treatment plans should be developed for patients.

BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P＜0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P＜0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P＜0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.

BACKGROUND:The Guilu Erxian Glue consists of Testudinis Plastrum,Cornu Cervi,Lycii Fructus,and Ginseng Radix.In earlier clinical observations,it is discovered that using Guilu Erxian Glue to treat patients with liver-kidney deficiency type knee osteoarthritis effectively alleviated knee pain,increased the range of motion,and improved walking ability.However,the exact mechanism by which oral administration of Guilu Erxian Glue can produce local therapeutic effects on the knee joint is still unclear.OBJECTIVE:To investigate the effects of Guilu Erxian Glue on gut microbiota in rats with knee osteoarthritis and to evaluate its mechanism using 16S rDNA sequencing and machine learning analysis.METHODS:Totally 18 female SD rats were randomly divided into three groups:blank group,model group,and Guilu Erxian Glue group,with 6 rats in each group.A knee osteoarthritis model was prepared using the destabilization of the medial meniscus surgical method.After successful modeling,the Guilu Erxian Glue group was given a decoction of Guilu Erxian Glue by gavage,while the blank and model groups were given an equal amount of distilled water.After 28 days of continuous intervention,high performance liquid chromatography was used to detect the active ingredients of Guilu Erxian Glue.MRI imaging was used to observe the condition of rat knee articular cartilage.Fecal samples were collected;DNA was extracted using a kit,amplified and purified by PCR,and an Illumina sequencing library was constructed.The Illumina MiSeq platform was used for high-throughput sequencing to generate raw sequence data.After obtaining the raw data,QIIME2 software was used to process the data.Linear Discriminant Analysis Effect Size analysis and random forest algorithm were used to screen for differential species in microbial data.KEGG and MetaCyc functional pathway analyses were used to explore the association between key microbial communities and experimental groups.Linear discriminant analysis effect values and random forest algorithm were used to screen for differential species.Association networks were used to analyze the interactions between microbial communities,and machine learning methods were used to analyze the composition and changes of gut microbiota.RESULTS AND CONCLUSION:(1)LC-MS component identification was conducted on the traditional Chinese medicine formula of Guilu Erxian Glue,and a total of 7 effective ingredients were identified.(2)MRI imaging showed that synovitis scope of high-density shadows in rats of the Guilu Erxian Glue group was reduced,and the degeneration of medial femoral condyle cartilage was less than that in the model group.(3)16S rDNA sequencing showed that the model group rats exhibited significant microbial imbalance,with a significant decrease in the abundance of Firmicutes and Bacteroidetes at the phylum level,while the proportion of Proteobacteria increased significantly(P＜0.05).The gut microbiota structure of rats in the Guilu Erxian Glue group was significantly improved,and the proportion of Firmicutes and Bacteroidetes increased,restoring a more diverse microbiota composition,approaching that of the blank group(P＜0.05).(4)KEGG and MetaCyc functional pathway analysis showed that the Guilu Erxian Glue group significantly activated multiple metabolic pathways,including amino acid metabolism,lipid metabolism,and biotin synthesis pathways(P＜0.05).(5)The results indicate that Guilu Erxian Glue contains seven active ingredients,and the changes in gut microbiota of knee osteoarthritis rats were analyzed using 16S rDNA sequencing.Guilu Erxian Glue can significantly improve the imbalance of gut microbiota,restore the abundance of beneficial bacteria,and have a significant impact on the composition of gut microbiota,providing scientific basis for the efficacy and mechanism of Guilu Erxian Glue.

ObjectiveTo assess changes in the incidence， prevalence， and disability-adjusted life-year （DALY） burden of ulcerative colitis （UC） in China and worldwide from 1990 to 2023 using data from the Global Burden of Disease Study 2023 （GBD 2023）， and to examine demographic drivers and future trends. MethodsUC data for China， the world， and 204 countries and territories were extracted from the GBD 2023 Results Tool. Age-standardized incidence rate （ASIR）， age-standardized prevalence rate （ASPR）， and age-standardized DALY rate （ASDR）， with 95% uncertainty interval （UI）， were obtained. Joinpoint regression was used to estimate average annual percent change （AAPC） and 95% confidence interval （CI）. Spearman rank correlation， inequality and frontier analyses， Das Gupta decomposition， and autoregressive integrated moving average （ARIMA） models were used to assess associations with the sociodemographic index （SDI）， cross-country burden disparities， demographic drivers， and trends from 2024 to 2035， respectively. ResultsIn 2023， the ASIR， ASPR， and ASDR in China were 0.94， 5.95， and 5.94 per 100 000 population， respectively， lower than the corresponding global estimates of 2.87， 28.48， and 13.82 per 100 000 population. From 1990 to 2023， China’s ASIR and ASPR increased， with AAPCs of 2.720% （95% CI： 2.133%-3.309%） and 2.261% （95% CI： 1.617%-2.908%）， whereas the ASDR decreased （AAPC=-3.056%， 95% CI： -3.449% to -2.662%）. Globally， ASIR increased slightly， whereas ASPR and ASDR decreased. In China， the crude incidence， prevalence， and DALY rates peaked at ages 50-54 years， 60-64 years， and ≥95 years， respectively. ASIR and ASPR were positively correlated with SDI （r_s=0.5794 and 0.6177， both P<0.001）， whereas the correlation between ASDR and SDI was not statistically significant （r_s=0.0666， P=0.343）. In China， epidemiological change contributed most to increases in incident and prevalent cases， and changes in age-specific rates contributed most to the decline in DALYs； globally， population growth and population aging contributed most to the increase in DALYs. By 2035， China’s ASIR， ASPR， and ASDR were projected to be 1.23， 6.37， and 2.55 per 100 000 population， respectively. ConclusionsFrom 1990 to 2023， the age-standardized incidence and prevalence rates of UC increased in China， whereas the age-standardized DALY rate decreased， and peaks in absolute burden generally shifted toward middle-aged and older age groups. The projected directions may persist. These findings may provide reference for long-term UC management and health-resource planning.

ObjectiveTo assess changes in the incidence， prevalence， and disability-adjusted life-year （DALY） burden of ulcerative colitis （UC） in China and worldwide from 1990 to 2023 using data from the Global Burden of Disease Study 2023 （GBD 2023）， and to examine demographic drivers and future trends. MethodsUC data for China， the world， and 204 countries and territories were extracted from the GBD 2023 Results Tool. Age-standardized incidence rate （ASIR）， age-standardized prevalence rate （ASPR）， and age-standardized DALY rate （ASDR）， with 95% uncertainty interval （UI）， were obtained. Joinpoint regression was used to estimate average annual percent change （AAPC） and 95% confidence interval （CI）. Spearman rank correlation， inequality and frontier analyses， Das Gupta decomposition， and autoregressive integrated moving average （ARIMA） models were used to assess associations with the sociodemographic index （SDI）， cross-country burden disparities， demographic drivers， and trends from 2024 to 2035， respectively. ResultsIn 2023， the ASIR， ASPR， and ASDR in China were 0.94， 5.95， and 5.94 per 100 000 population， respectively， lower than the corresponding global estimates of 2.87， 28.48， and 13.82 per 100 000 population. From 1990 to 2023， China’s ASIR and ASPR increased， with AAPCs of 2.720% （95% CI： 2.133%-3.309%） and 2.261% （95% CI： 1.617%-2.908%）， whereas the ASDR decreased （AAPC=-3.056%， 95% CI： -3.449% to -2.662%）. Globally， ASIR increased slightly， whereas ASPR and ASDR decreased. In China， the crude incidence， prevalence， and DALY rates peaked at ages 50-54 years， 60-64 years， and ≥95 years， respectively. ASIR and ASPR were positively correlated with SDI （r_s=0.5794 and 0.6177， both P<0.001）， whereas the correlation between ASDR and SDI was not statistically significant （r_s=0.0666， P=0.343）. In China， epidemiological change contributed most to increases in incident and prevalent cases， and changes in age-specific rates contributed most to the decline in DALYs； globally， population growth and population aging contributed most to the increase in DALYs. By 2035， China’s ASIR， ASPR， and ASDR were projected to be 1.23， 6.37， and 2.55 per 100 000 population， respectively. ConclusionsFrom 1990 to 2023， the age-standardized incidence and prevalence rates of UC increased in China， whereas the age-standardized DALY rate decreased， and peaks in absolute burden generally shifted toward middle-aged and older age groups. The projected directions may persist. These findings may provide reference for long-term UC management and health-resource planning.

Chronic heart failure is the terminal stage of various cardiovascular diseases， and its occurrence and progression are closely associated with impaired myocardial energy metabolism and mitochondrial dysfunction. Mitochondrial dynamics maintain cardiomyocyte energy homeostasis through fusion， fission， and quality control. Disruption of mitochondrial dynamics may lead to mitochondrial network fragmentation， insufficient adenosine triphosphate （ATP） production， enhanced oxidative stress， and activation of ferroptosis. The theory of Yin at peace and Yang being compact originates from the Chapter Discussion on Interrelationship between Life and Nature in the Plain Questions， and emphasizes that the dynamic balance between Yin and Yang is fundamental to normal life activities. According to this theory and mitochondrial dynamics， this paper explores the pathogenic connotations of Yang failing to remain compact and Yin failing to remain at peace in chronic heart failure. In traditional Chinese medicine （TCM）， chronic heart failure is characterized by deficiency in origin and excess in manifestation. Deficiency of heart Qi and Yang is the root， often accompanied by Yang deficiency or Yin deficiency， while blood stasis， phlegm turbidity， and water retention constitute the manifestations. When Yang fails to remain compact， cardiac propulsion becomes weakened and Qi transformation is impaired. When Yin fails to remain at peace， Yin pathogens are generated and Yin essence is consumed. At the microscopic level， imbalance of mitochondrial dynamics is manifested as insufficient mitochondrial fusion， excessive fission， reduced energy production， excessive ROS generation， expansion of the labile iron pool， and accumulation of lipid peroxidation products， which contribute to Yin-Yang imbalance in chronic heart failure. Furthermore， by integrating formula-pattern correspondence and the approach of inferring patterns from formula effects， this paper summarizes the possible molecular phenotypes corresponding to different syndrome elements and syndrome patterns. It further proposes keeping Yang compact and keeping Yin at peace as therapeutic principle for chronic heart failure， aiming to restore energy metabolism homeostasis by regulating mitochondrial dynamics with TCM and to provide new perspectives and ideas for the treatment of chronic heart failure.

Patients with sudden deafness encounter greater psychological challenges and communication barriers after experiencing sudden hearing loss， and traditional medical models often fail to adequately address their unique needs. This paper analyzed the current situation of emotional and behavioral changes in patients with sudden deafness， and the gap between their expectations and the reality of medical care. From the perspective of narrative medicine， the theory and characteristics of the reconstruction of the doctor-patient relationships in patients with sudden deafness were explored. The results showed that narrative medicine can enhance patients’ emotional resonance and understanding， improve the efficiency and quality of doctor-patient communication， promote the formulation of personalized treatment plans， and enhance treatment adherence and satisfaction. Based on these results， strategies and pathways for the reconstruction of doctor-patient relationships for patients with sudden deafness were proposed， including building empathetic bridges and tapping into mechanisms of emotional resonance within narrative medicine； optimizing communication strategies and promoting the application of narrative techniques in doctor-patient dialogues； connecting narrative pathways and advocating the exploration of stories and strategies in personalized treatments； as well as facilitating treatment adherence and making full use of the psychodynamic effects of narrative medicine. Narrative medicine， as a patient-centered medical practice， can effectively promote the reconstruction of doctor-patient relationships， enhance treatment effectiveness， and offer a more humane treatment experience for patients.

Long-term glucose metabolism disorders in patient with diabetes is often accompanied by dyslipidemia, especially the elevated level of low-density lipoprotein cholesterol (LDL-C). It is an important risk factor for the development of atherosclerotic cardiovascular disease (ASCVD). Recent studies at home and abroad have also found that diabetes can lead to increased levels of proprotein convertase subtilisin/kexintype 9 (PCSK9). In view of the profound influence of PCSK9 overexpression on low density lipoprotein cholesterol level, cardiovascular risk and atherosclerosis, it is of great significance to explore whether hypoglycemic drugs can reduce the level of PCSK9 in the treatment of diabetes. We summarized the results of the study on the effects of various hypoglycemic drugs on circulating PCSK9 concentration in order to provide ideas for the optimal treatment of diabetes.

This study investigated the infectious status and pathogen characteristics of Leptospira in rodents and the environment in Fujian province to provide data for the prevention and control of leptospirosis.A total of 723 rodents and 31 water samples were col-lected from 19 regions in Fujian Province during 2020-2023.The prevalent rodent species was Rattus losea(35.82%,259/723),which was followed by Rattus norvegicus(20.06%,145/723),Rattus tanezumi(19.64%,142/723),and Niviventer fulvescens(13.97%,101/723).A total of 144 positive samples of Leptospira spp.were detected in rodent kidney samples,accounting for 19.92%(144/723).The positivity rate of Leptospira spp.in wild rodents was higher than that in domestic rodents(χ2=8.48,P<0.05),and the positivity rate in adult rodents was higher than that in juvenile rodents(χ2=14.19,P<0.05).The positivity rates varied among rodent species(χ2=46.11,P<0.05),and differences in the positivity rates of Leptospira spp.were observed among regions(χ2=32.113,P<0.05).Ten strains were isolated from 440 rodent samples,and the isolation rate was 2.27%(10/440).Genospecies identification indi-cated that Leptospira borgpetersenii accounted for seven of the ten isolates,and L.interrogans accounted for three.MLST typing divided 10 isolates into three ST types:ST1,ST16,and ST143.5 isolates were isolated from 31 water samples,with an isolation rate of 16.13%,all of which were nonpathogenic L.tsangambouensis.Although pathogenic Leptospira spp.were not isolated from the water samples,the rodents in Fujian Province were generally infected with pathogenic Leptospira spp.Surveillance of the environment and ro-dents infected with Leptospira spp.should be strengthened.

This study investigated the infectious status and pathogen characteristics of Leptospira in rodents and the environment in Fujian province to provide data for the prevention and control of leptospirosis.A total of 723 rodents and 31 water samples were col-lected from 19 regions in Fujian Province during 2020-2023.The prevalent rodent species was Rattus losea(35.82%,259/723),which was followed by Rattus norvegicus(20.06%,145/723),Rattus tanezumi(19.64%,142/723),and Niviventer fulvescens(13.97%,101/723).A total of 144 positive samples of Leptospira spp.were detected in rodent kidney samples,accounting for 19.92%(144/723).The positivity rate of Leptospira spp.in wild rodents was higher than that in domestic rodents(χ2=8.48,P<0.05),and the positivity rate in adult rodents was higher than that in juvenile rodents(χ2=14.19,P<0.05).The positivity rates varied among rodent species(χ2=46.11,P<0.05),and differences in the positivity rates of Leptospira spp.were observed among regions(χ2=32.113,P<0.05).Ten strains were isolated from 440 rodent samples,and the isolation rate was 2.27%(10/440).Genospecies identification indi-cated that Leptospira borgpetersenii accounted for seven of the ten isolates,and L.interrogans accounted for three.MLST typing divided 10 isolates into three ST types:ST1,ST16,and ST143.5 isolates were isolated from 31 water samples,with an isolation rate of 16.13%,all of which were nonpathogenic L.tsangambouensis.Although pathogenic Leptospira spp.were not isolated from the water samples,the rodents in Fujian Province were generally infected with pathogenic Leptospira spp.Surveillance of the environment and ro-dents infected with Leptospira spp.should be strengthened.