Objective To investigate the global burden of visceral leishmaniasis (VL) from 1990 to 2021 and predict the trends in the burden of VL from 2022 to 2035, so as to provide insights into global VL prevention and control. Methods The global age-standardized incidence, prevalence, mortality and disability-adjusted life years (DALYs) rates of VL and their 95% uncertainty intervals (UI) were captured from the Global Burden of Disease Study 2021 (GBD 2021) data resources. The trends in the global burden of VL were evaluated with average annual percent change (AAPC) and 95% confidence interval (CI) from 1990 to 2021, and gender-, age-, country-, geographical area- and socio-demographic index (SDI)-stratified burdens of VL were analyzed. The trends in the global burden of VL were projected with a Bayesian age-period-cohort (BAPC) model from 2022 to 2035, and the associations of age-standardized incidence, prevalence, mortality, and DALYs rates of VL with SDI levels were examined with a smoothing spline model. Results The global age-standardized incidence [AAPC = -0.25%, 95% CI: (-0.25%, -0.24%)], prevalence [AAPC = -0.06%, 95% CI: (-0.06%, -0.06%)], mortality [AAPC = -0.25%, 95% CI: (-0.25%, -0.24%)] and DALYs rates of VL [AAPC = -2.38%, 95% CI: (-2.44%, -2.33%)] all appeared a tendency towards a decline from 1990 to 2021, and the highest age-standardized incidence [2.55/10⁵, 95% UI: (1.49/10⁵, 4.07/10⁵)], prevalence [0.64/10⁵, 95% UI: (0.37/10⁵, 1.02/10⁵)], mortality [0.51/10⁵, 95% UI: (0, 1.80/10⁵)] and DALYs rates of VL [33.81/10⁵, 95% UI: (0.06/10⁵, 124.09/10⁵)] were seen in tropical Latin America in 2021. The global age-standardized incidence and prevalence of VL were both higher among men [0.57/10⁵, 95% UI: (0.45/10⁵, 0.72/10⁵); 0.14/10⁵, 95% UI: (0.11/10⁵, 0.18/10⁵)] than among women [0.27/10⁵, 95% UI: (0.21/10⁵, 0.33/10⁵); 0.06/10⁵, 95% UI: (0.05/10⁵, 0.08/10⁵)], and the highest mortality of VL was found among children under 5 years of age [0.24/10⁵, 95% UI: (0.08/10⁵, 0.66/10⁵)]. The age-standardized incidence (r = -0.483, P < 0.001), prevalence (r = -0.483, P < 0.001), mortality (r = -0.511, P < 0.001) and DALYs rates of VL (r = -0.514, P < 0.001) correlated negatively with SDI levels from 1990 to 2021. In addition, the global burden of VL was projected with the BAPC model to appear a tendency towards a decline from 2022 to 2035, and the age-standardized incidence, prevalence, mortality and DALYs rates were projected to be reduced to 0.11/10⁵, 0.03/10⁵, 0.02/10⁵ and 1.44/10⁵ in 2035, respectively. Conclusions Although the global burden of VL appeared an overall tendency towards a decline from 1990 to 2021, the burden of VL showed a tendency towards a rise in Central Asia and western sub-Saharan African areas. The age-standardized incidence and prevalence rates of VL were relatively higher among men, and the age-standardized mortality of VL was relatively higher among children under 5 years of age. The global burden of VL was projected to continue to decline from 2022 to 2035.

ObjectiveTo improve the therapeutic effect of Buyang Huanwutang（BYHW） on diabetic kidney disease （DKD） and explore new methods for developing new Chinese medicine decoctions，we utilized 5-hydroxymethylcytosine （5hmC）-Seal sequencing technology and network pharmacology to modify BYHW. MethodsWe selected 14 diabetes mellitus （DM） patients and 15 DKD patients hospitalized in the Department of Endocrinology of Peking University Third Hospital in 2021. Circulating free DNA （cfDNA） in the patients’ plasma was sequenced. After data processing and screening， we performed temporal clustering analysis to select a DKD 5hmC gene set， which was then cross-validated with a DKD database gene set to obtain the DKD gene set. We retrieved target genes of the seven herbal components of BYHW from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the Encyclopedia of Traditional Chinese Medicine （ETCM）， and performed cross-analysis with the DKD gene set to identify common genes shared by the disease and the Chinese medicines. A protein-protein interaction （PPI） network was constructed for the common genes to screen out the key genes. Chinese medicines targeting these key genes were searched against ETCM to identify removable Chinese medicines. Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis was performed on non-common DKD genes， and key genes in DKD-related pathways were selected based on machine learning. The GSE30529 dataset was used to verify the expression trends of 5hmC-modified genes and the feasibility of target genes as drug targets. TCMBank was used to search for target genes and obtain compounds targeting these genes and the corresponding Chinese medicines to construct a "key target-compound-Chinese medicine" network. Molecular docking was employed to verify the binding affinity of compounds with key targets. TCMSP and ETCM were used to search and count the candidate Chinese medicines targeting DKD-related genes， and a new decoction was formed by adding the selected Chinese medicines. A mouse model of DKD was established to examine the efficacy of the new decoction based on the mouse body mass， random blood glucose， urinary microalbumin （mALB）， serum creatinine （Scr）， and blood urea nitrogen （BUN） and by hematoxylin-eosin staining， periodic acid-Schiff staining， Masson staining， immunofluorescence assay， and Real-time PCR. ResultsThe cross-analysis results showed that the DKD gene set included 507 genes， of which 30 were target genes of BYHW. The PPI analysis indicated that the top 15% target genes regarding the degree were interleukin-6 （IL-6）， Toll-like receptor 4 （TLR4）， lactotransferrin （LTF）， lipoprotein lipase （LPL）， and sterol regulatory element-binding transcription factor 1 （SREBF1）. Persicae Semen and Pheretima in BYHW were unrelated to key genes and removed. Machine learning identified 10 potential target genes， among which TBC1 domain family member 5 （TBC1D5）， RAD51 paralog B （RAD51B）， and proteasome 20S subunit alpha 6 （PSMA6） had expression trends consistent with the GSE30529 dataset and could serve as drug targets. The "key target-compound-Chinese medicine" network and molecular docking results indicated that the compounds with good binding affinity to target proteins were arginine， glycine， myristicin， serine， and tyrosine， corresponding to 121 Chinese medicines. The top 10 Chinese medicines targeting DKD-related genes were Lycii Fructus， Ginseng Radix et Rhizoma， Dioscoreae Rhizoma， Rehmanniae Radix Praeparata， Isatidis Radix， Glehniae Radix， Ophiopogonis Radix， Allii Sativi Bulbus， Isatidis Folium， and Bolbostemmatis Rhizoma. Based on traditional Chinese medicine theory， the new decoction was obtained after removal of Persicae Semen and Pheretima and addition of Rehmanniae Radix Praeparata and Dioscoreae Rhizoma. Animal experiment results indicated that the modified BYHW improved the kidney function and inhibited renal fibrosis in DKD mice， with better effects than the original decoction. ConclusionThe BYHW modified based on 5hmC-Seal sequencing demonstrates better performance in inhibiting fibrosis and ameliorating DKD than the original decoction. This elucidates the biomedical theory behind the epigenetic modification of traditional Chinese medicine prescriptions， potentially offering new perspectives for the exploration of these prescriptions

ObjectiveTo improve the therapeutic effect of Buyang Huanwutang（BYHW） on diabetic kidney disease （DKD） and explore new methods for developing new Chinese medicine decoctions，we utilized 5-hydroxymethylcytosine （5hmC）-Seal sequencing technology and network pharmacology to modify BYHW. MethodsWe selected 14 diabetes mellitus （DM） patients and 15 DKD patients hospitalized in the Department of Endocrinology of Peking University Third Hospital in 2021. Circulating free DNA （cfDNA） in the patients’ plasma was sequenced. After data processing and screening， we performed temporal clustering analysis to select a DKD 5hmC gene set， which was then cross-validated with a DKD database gene set to obtain the DKD gene set. We retrieved target genes of the seven herbal components of BYHW from the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform （TCMSP） and the Encyclopedia of Traditional Chinese Medicine （ETCM）， and performed cross-analysis with the DKD gene set to identify common genes shared by the disease and the Chinese medicines. A protein-protein interaction （PPI） network was constructed for the common genes to screen out the key genes. Chinese medicines targeting these key genes were searched against ETCM to identify removable Chinese medicines. Kyoto Encyclopedia of Genes and Genomes （KEGG） enrichment analysis was performed on non-common DKD genes， and key genes in DKD-related pathways were selected based on machine learning. The GSE30529 dataset was used to verify the expression trends of 5hmC-modified genes and the feasibility of target genes as drug targets. TCMBank was used to search for target genes and obtain compounds targeting these genes and the corresponding Chinese medicines to construct a "key target-compound-Chinese medicine" network. Molecular docking was employed to verify the binding affinity of compounds with key targets. TCMSP and ETCM were used to search and count the candidate Chinese medicines targeting DKD-related genes， and a new decoction was formed by adding the selected Chinese medicines. A mouse model of DKD was established to examine the efficacy of the new decoction based on the mouse body mass， random blood glucose， urinary microalbumin （mALB）， serum creatinine （Scr）， and blood urea nitrogen （BUN） and by hematoxylin-eosin staining， periodic acid-Schiff staining， Masson staining， immunofluorescence assay， and Real-time PCR. ResultsThe cross-analysis results showed that the DKD gene set included 507 genes， of which 30 were target genes of BYHW. The PPI analysis indicated that the top 15% target genes regarding the degree were interleukin-6 （IL-6）， Toll-like receptor 4 （TLR4）， lactotransferrin （LTF）， lipoprotein lipase （LPL）， and sterol regulatory element-binding transcription factor 1 （SREBF1）. Persicae Semen and Pheretima in BYHW were unrelated to key genes and removed. Machine learning identified 10 potential target genes， among which TBC1 domain family member 5 （TBC1D5）， RAD51 paralog B （RAD51B）， and proteasome 20S subunit alpha 6 （PSMA6） had expression trends consistent with the GSE30529 dataset and could serve as drug targets. The "key target-compound-Chinese medicine" network and molecular docking results indicated that the compounds with good binding affinity to target proteins were arginine， glycine， myristicin， serine， and tyrosine， corresponding to 121 Chinese medicines. The top 10 Chinese medicines targeting DKD-related genes were Lycii Fructus， Ginseng Radix et Rhizoma， Dioscoreae Rhizoma， Rehmanniae Radix Praeparata， Isatidis Radix， Glehniae Radix， Ophiopogonis Radix， Allii Sativi Bulbus， Isatidis Folium， and Bolbostemmatis Rhizoma. Based on traditional Chinese medicine theory， the new decoction was obtained after removal of Persicae Semen and Pheretima and addition of Rehmanniae Radix Praeparata and Dioscoreae Rhizoma. Animal experiment results indicated that the modified BYHW improved the kidney function and inhibited renal fibrosis in DKD mice， with better effects than the original decoction. ConclusionThe BYHW modified based on 5hmC-Seal sequencing demonstrates better performance in inhibiting fibrosis and ameliorating DKD than the original decoction. This elucidates the biomedical theory behind the epigenetic modification of traditional Chinese medicine prescriptions， potentially offering new perspectives for the exploration of these prescriptions

Objective: To explore the longitudinalcausal relationship between college students overall family functioning and their Internet altruistic behaviors, so as to provide ideas for developing mental health education in universities. Methods: By using a convenience sampling method, the Overall Family Functioning Rating Scale and the Internet Altruistic Behaviors Scale were adopted to conduct a twostage followup survey (T1:November 2023, T2:October 2024) among 705 students from seven universities in Jiangsu Province over a period of one year. Repeated measures ANOVA, Pearson correlation analysis, and crosslagged analysis were used for statistical analysis. Results: The overall family functioning of college students was relatively stable over time (T1:2.99±0.83; T2:3.01±0.57) [F(1，703)=0.68，P＞0.05]; however, the main effect of gender was statistically significant [boys：T1(2.98±0.78),T2(2.99±0.67)；girls：T1(3.01±0.91),T2(3.01±0.42)；F(1，703)=6.91, P<0.01], with female college students having a higher overall family functioning level than male college students. The Internet altruistic behaviors of college students showed certain dynamic changes (T1:2.86±0.39; T2:3.05±0.46) [F(1，703)=10.19，P＜0.01], and the posttest Internet altruistic behaviors levels of both male and female college students were higher than those of the pretest ;network altruistic behavior was not statistically significant on the sex main effect[boys：T1(2.87±0.44),T2(3.05±0.31)；girls：T1(2.85±0.36),T2(3.06±0.65)；F(1，703)=2.50, P＞0.05]; the interaction between time and gender for Internet altruistic behaviors were statistically significant [F(1，703)=6.64, P<0.01]; the concurrent and lagged correlations between the overall family functioning and Internet altruistic behaviors of college students were all positive (r=0.35-0.57, P<0.01); the pretest overall family functioning could positively predict the posttest Internet altruistic behaviors (β=0.15, P<0.01). Conclusions The overall family functioning of college students is relatively stable, while their Internet altruistic behaviors show certain development and changes. The overall family functioning of college students can directly predict their Internet altruistic behaviors, and there is a certain degree of causal relationship between the two.

Since its establishment in 2016, the National Rare Diseases Registry System of China (NRDRS) has accumulated valuable case data and bio-specimen for basic and clinical research on rare diseases in China. However, the emerging challenges in clinical diagnosis and treatment of rare diseases make it unable for data and resource platform to fully meet the diversified needs. Under this backdrop, we have developed a protocol to optimize and upgrade the system based on the core functions of the NRDRS platform. The goal is to leverage intelligent digital technologies to transform NRDRS into a new platform integrating multimodal data and auxiliary diagnostic and treatment functions. It is specified as the development and construction of "one platform and four intelligent tools." Currently, we have upgraded and developed NRDRS platform, intelligent tool for genotype-phenotype analysis of rare diseases, AI-assisted diagnostic tool for rare diseases, remote multidisciplinary diagnosis and teaching tool for rare diseases, drug screening and validation tool for rare diseases. The next step will focus on the promotion of the application of these tools in clinical settings in order to address the issue of severe imbalance in the allocation of resources for the diagnosis and treatment of rare diseases. This article provides an overview of the digital and intelligent upgrades of the NRDRS, the trials in applications in clinical settings, and direction in the future.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo investigate the mechanism by which modified Shengjiangsan （MSJS） improves diabetic kidney disease （DKD） by activating mitochondrial autophagy. MethodsSixty SPF-grade male Sprague-Dawley rats aged 7-8 weeks were selected. A DKD model was established using a high-sugar， high-fat diet combined with intraperitoneal injection of streptozotocin （STZ）. After successful modeling， the rats were randomly divided into six groups： a normal control group， a model group， low-， medium-， and high-dose MSJS groups （7.7， 15.4， 30.8 g·kg^-1， respectively）， and an irbesartan group （0.384 g·kg^-1）. Each group received either normal saline or the corresponding drug by gavage once daily for 28 consecutive days. Blood glucose， body weight， and kidney weight were recorded. Serum creatinine （SCr） and blood urea nitrogen （BUN） levels were detected using an automatic blood analyzer. Enzyme-linked immunosorbent assay （ELISA） was used to determine urinary microalbumin （mALB）， and serum levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6）. Histopathological changes in renal tissues were observed using hematoxylin-eosin （HE） staining， periodic acid-Schiff （PAS） staining， and transmission electron microscopy （TEM）. The expression levels of mitochondrial autophagy-related proteins in renal tissues were analyzed by Western blot. Immunofluorescence co-localization was employed to detect the co-expression of microtubule-associated protein 1 light chain 3 beta （LC3B） and cytochrome c oxidase subunit Ⅳ （COX Ⅳ）. ResultsCompared with the normal control group， the model group exhibited significant increases in renal index， blood glucose， and 24-hour urinary microalbumin （24 h mALB） （P<0.05， P<0.01）. The levels of serum SCr and BUN were significantly elevated （P<0.01）， and the serum levels of TNF-α， IL-1β， and IL-6 were markedly upregulated （P<0.01）. Histopathological examination revealed glomerular hypertrophy， mesangial expansion and increased deposition， podocyte foot process flattening and fusion， a decreased number of autophagosomes accompanied by mitochondrial swelling， vacuolar degeneration of renal tubular epithelial cells， and inflammatory cell infiltration in the renal interstitium. The expression levels of autophagy-related proteins LC3B， PTEN-induced putative kinase 1 （PINK1）， and E3 ubiquitin-protein ligase （Parkin） were significantly decreased （P<0.05， P<0.01）， while expression of the selective autophagy adaptor protein p62 was significantly increased （P<0.01）. Immunofluorescence signal intensity and LC3B-COX Ⅳ co-expression were both diminished. Compared with the model group， the MSJS treatment groups and the irbesartan group showed significant reductions in renal index， blood glucose， and 24 h mALB （P<0.05， P<0.01）. The serum SCr and BUN levels decreased significantly （P<0.05） and TNF-α， IL-1β， and IL-6 levels were significantly downregulated （P<0.05， P<0.01）. Histopathological damage was alleviated， including reduced glomerular hypertrophy， decreased mesangial deposition， and attenuated podocyte foot process fusion. The number of autophagosomes increased， and mitochondrial swelling was improved. The expression levels of LC3B， PINK1， and Parkin in renal tissues were significantly upregulated， whereas p62 expression was significantly downregulated （P<0.05， P<0.01） in MSJS groups. Immunofluorescence signal intensity was enhanced， and LC3B-COX Ⅳ co-expression was increased. ConclusionMSJS alleviates the inflammatory response in DKD rats and exerts renal protective effects by regulating the PINK1/Parkin signaling pathway and activating mitochondrial autophagy.

ObjectiveTo establish the multi-technique characteristic profiles of Alumen by X-ray diffraction（XRD）， Fourier-transform infrared spectroscopy（FTIR） and thermogravimetric-differential thermal analysis（TG-DTA）， and to explore the spectral characteristics for rapid identification of Alumen and its potential adulterant， Ammonium alum. MethodsA total of 27 batches of Alumen samples from 8 production regions were collected for preliminary identification based on visual characteristics. The PDF standard cards of XRD were used to differentiate Alumen from A. alum， and the XRD characteristic profiles of Alumen were established， and then the common peaks were screened. Based on hierarchical clustering analysis（HCA） and orthogonal partial least squares-discriminant analysis（OPLS-DA）， the characteristic information that could be used for identification of Alumen was selected with variable importance in the projection（VIP） value>1. FTIR characteristic profiles of Alumen were established， and key wavenumbers for identification were screened by HCA and OPLS-DA with VIP value>1. Meanwhile， the thermogravimetric differences between Alumen and A. alum were analyzed by TG-DTA， and the thermogravimetric traits that could be used for identification were screened. ResultsAlumen and A. alum could not be effectively distinguished by traits alone. However， by comparing the PDF standard cards of XRD， 15 batches of Alumen and 12 batches of A. alum could be distinguished. In the XRD profiles， 10 characteristic peaks were confirmed， corresponding to diffraction angles of 14.560°， 24.316°， 12.620°， 32.122°， 17.898°， 34.642°， 27.496°， 46.048°， 40.697° and 21.973°. In the FTIR profiles， 4 wavenumber ranges（399.193-403.050， 1 186.010-1 471.420， 1 801.190-2 620.790， 3 612.020-3 997.710 cm^-1） and 12 characteristic wavenumbers（1 428.994， 1 430.922， 1 432.851， 1 434.779， 1 436.708， 1 438.636， 1 440.565， 1 442.493， 1 444.422， 1 446.350， 1 448.279， 1 450.207 cm^-1） were identified. In the TG-DTA profiles， there were characteristic decomposition peaks of ammonium ion and mass reduction features near 555.34 ℃ for A. alum. These characteristics could serve as important criteria for distinguishing the authenticity of Alumen. ConclusionXRD， FTIR and TG-DTA can be used to rapidly detect Alumen and A. alum， and combined with the discriminant features selected through chemometrics， the rapid and accurate identification of Alumen and A. alum can be achieved. The research findings provide new approaches for the rapid identification of Alumen.

ObjectiveTo investigate the mechanism by which modified Shengjiangsan （MSJS） improves diabetic kidney disease （DKD） by activating mitochondrial autophagy. MethodsSixty SPF-grade male Sprague-Dawley rats aged 7-8 weeks were selected. A DKD model was established using a high-sugar， high-fat diet combined with intraperitoneal injection of streptozotocin （STZ）. After successful modeling， the rats were randomly divided into six groups： a normal control group， a model group， low-， medium-， and high-dose MSJS groups （7.7， 15.4， 30.8 g·kg^-1， respectively）， and an irbesartan group （0.384 g·kg^-1）. Each group received either normal saline or the corresponding drug by gavage once daily for 28 consecutive days. Blood glucose， body weight， and kidney weight were recorded. Serum creatinine （SCr） and blood urea nitrogen （BUN） levels were detected using an automatic blood analyzer. Enzyme-linked immunosorbent assay （ELISA） was used to determine urinary microalbumin （mALB）， and serum levels of tumor necrosis factor-α （TNF-α）， interleukin-1β （IL-1β）， and interleukin-6 （IL-6）. Histopathological changes in renal tissues were observed using hematoxylin-eosin （HE） staining， periodic acid-Schiff （PAS） staining， and transmission electron microscopy （TEM）. The expression levels of mitochondrial autophagy-related proteins in renal tissues were analyzed by Western blot. Immunofluorescence co-localization was employed to detect the co-expression of microtubule-associated protein 1 light chain 3 beta （LC3B） and cytochrome c oxidase subunit Ⅳ （COX Ⅳ）. ResultsCompared with the normal control group， the model group exhibited significant increases in renal index， blood glucose， and 24-hour urinary microalbumin （24 h mALB） （P<0.05， P<0.01）. The levels of serum SCr and BUN were significantly elevated （P<0.01）， and the serum levels of TNF-α， IL-1β， and IL-6 were markedly upregulated （P<0.01）. Histopathological examination revealed glomerular hypertrophy， mesangial expansion and increased deposition， podocyte foot process flattening and fusion， a decreased number of autophagosomes accompanied by mitochondrial swelling， vacuolar degeneration of renal tubular epithelial cells， and inflammatory cell infiltration in the renal interstitium. The expression levels of autophagy-related proteins LC3B， PTEN-induced putative kinase 1 （PINK1）， and E3 ubiquitin-protein ligase （Parkin） were significantly decreased （P<0.05， P<0.01）， while expression of the selective autophagy adaptor protein p62 was significantly increased （P<0.01）. Immunofluorescence signal intensity and LC3B-COX Ⅳ co-expression were both diminished. Compared with the model group， the MSJS treatment groups and the irbesartan group showed significant reductions in renal index， blood glucose， and 24 h mALB （P<0.05， P<0.01）. The serum SCr and BUN levels decreased significantly （P<0.05） and TNF-α， IL-1β， and IL-6 levels were significantly downregulated （P<0.05， P<0.01）. Histopathological damage was alleviated， including reduced glomerular hypertrophy， decreased mesangial deposition， and attenuated podocyte foot process fusion. The number of autophagosomes increased， and mitochondrial swelling was improved. The expression levels of LC3B， PINK1， and Parkin in renal tissues were significantly upregulated， whereas p62 expression was significantly downregulated （P<0.05， P<0.01） in MSJS groups. Immunofluorescence signal intensity was enhanced， and LC3B-COX Ⅳ co-expression was increased. ConclusionMSJS alleviates the inflammatory response in DKD rats and exerts renal protective effects by regulating the PINK1/Parkin signaling pathway and activating mitochondrial autophagy.

Objective: To evaluate the feasibility of dynamic contrast-enhanced MRI (DCE-MRI) in differentiating tumor deposits (TDs) from metastatic lymph nodes (MLNs) in rectal cancer. Materials and Methods: A retrospective analysis was conducted on 70 patients with rectal cancer, including 168 lesions (70 TDs and 98 MLNs confirmed by histopathology), who underwent pretreatment MRI and subsequent surgery between March 2019 and December 2022. The morphological characteristics of TDs and MLNs, along with quantitative parameters derived from DCE-MRI (K trans , kep, and v e) and DWI (ADCmin, ADCmax, and ADCmean), were analyzed and compared between the two groups.Multivariable binary logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess the diagnostic performance of significant individual quantitative parameters and combined parameters in distinguishing TDs from MLNs. Results: All morphological features, including size, shape, border, and signal intensity, as well as all DCE-MRI parameters showed significant differences between TDs and MLNs (all P < 0.05). However, ADC values did not demonstrate significant differences (all P > 0.05). Among the single quantitative parameters, v e had the highest diagnostic accuracy, with an area under the ROC curve (AUC) of 0.772 for distinguishing TDs from MLNs. A multivariable logistic regression model incorporating short axis, border, v e, and ADC mean improved diagnostic performance, achieving an AUC of 0.833 (P = 0.027). Conclusion The combination of morphological features, DCE-MRI parameters, and ADC values can effectively aid in the preoperative differentiation of TDs from MLNs in rectal cancer.