OBJECTIVE: This study aimed to evaluate the association between susceptibility genes and non-alcoholic fatty liver disease (NAFLD) in children with obesity. METHODS: We conducted a two-step case-control study. Ninety-three participants were subjected to whole-exome sequencing (exploratory set). Differential genes identified in the small sample were validated in 1,022 participants using multiplex polymerase chain reaction and high-throughput sequencing (validation set). RESULTS: In the exploratory set, 14 genes from the NAFLD-associated pathways were identified. In the validation set, after adjusting for sex, age, and body mass index, ECI2 rs2326408 (dominant model: OR = 1.33, 95% CI: 1.02-1.72; additive model: OR = 1.22, 95% CI: 1.01-1.47), C6orf201 rs659305 (dominant model: OR = 1.30, 95% CI: 1.01-1.69; additive model: OR = 1.21, 95% CI: 1.00-1.45), CALML5 rs10904516 (pre-ad dominant model: OR = 1.36, 95% CI: 1.01-1.83; adjusted dominant model: OR = 1.40, 95% CI: 1.03-1.91; and pre-ad additive model: OR = 1.26, 95% CI: 1.04-1.66) polymorphisms were significantly associated with NAFLD in children with obesity ( P < 0.05). Interaction analysis revealed that the gene-gene interaction model of CALML5 rs10904516, COX11 rs17209882, and SCD5 rs3733228 was optional ( P < 0.05), demonstrating a negative interaction between the three genes. CONCLUSION In the Chinese population, the CALML5 rs10904516, C6orf201 rs659305, and ECI2 rs2326408 variants could be genetic markers for NAFLD susceptibility.
Humans ; Non-alcoholic Fatty Liver Disease/genetics* ; Child ; Male ; Female ; Genetic Predisposition to Disease ; Case-Control Studies ; Exome Sequencing ; Adolescent ; Polymorphism, Single Nucleotide ; Obesity/complications* ; Pediatric Obesity/complications* ; China

Ulcerative colitis （UC） is a chronic inflammatory bowel disease with complex etiology. The pathogenesis of this disease， due to a combination of factors， is complex and has not yet been elucidated. Among them， intestinal mucosal barrier damage is the basic pathological change of UC. As a non-destructive response of cells， autophagy regulates intestinal mucosal immunity， inflammation， oxidative stress， and bacterial homeostasis through degradation and reabsorption to actively repair damaged intestinal mucosal barrier， exerting a key role in the occurrence and development of UC. The disease is mainly treated clinically with aminosalicylic acid preparations， glucocorticoids， and immunosuppressants. Western medicine treatment of the disease has a fast onset of effect， and the short-term efficacy is definite， but the long-term application is easy to be accompanied by more adverse reactions. Moreover， some drugs are expensive， bringing great physical and mental pain and economic burden to patients. Therefore， it is urgent to explore new therapies with stable efficacy and mild adverse effects. In recent years， a large number of studies have shown that Chinese medicine can regulate autophagy of the intestinal mucosa with multiple targets and effects and repair the intestinal mucosal barrier function， thereby inhibiting the development of UC. Many experiments have shown that the active ingredient or monomers and compound formulas of Chinese medicine can improve the immunity of the intestinal mucosa， inflammation， oxidative stress， and flora by regulating the level of autophagy to maintain the normal function of the intestinal mucosal barrier to effectively intervene in UC， providing a new measure for the prevention and treatment of UC. However， there is a lack of systematic review of Chinese medicine in regulating the level of autophagy in the intestinal mucosa for the prevention and treatment of UC. Therefore， based on the current research on UC， autophagy process， and Chinese medicine treatment， this article reviewed the relationship of autophagy and its key target proteins with UC to clarify the key role of autophagy in UC production and systematically summarized Chinese medicines targeting the regulation of autophagy to treat UC in recent years to provide new ideas for the treatment and drug development of UC.

Objective:To investigate the correlation between bone marrow microvascular density,angiogenesis factors and bortezomib resistance in multiple myeloma(MM).Methods:The data of 200 patients with MM treated in our hospital from January 2020 to August 2023 were retrospectively analyzed,and the patients with MM were divided into drug-resistant group(n=68)and non-drug-resistant group(n=132)according to their drug resistance during bortezomib treatment.The univariate and multivariate logistic analysis were used to screen the independent influencing factors of bortezomib resistance in MM patients during treatment.The receiver operating characteristic(ROC)curve and clinical decision curve(DCA)were used to evaluate the predictive performance and clinical application value of the risk prediction model,the consistency between the actual incidence rate and the predicted incidence rate was judged by validating the calibration chart,and the goodness-of-fit of the model was judged by H-L test.Results:68 of the 200 MM patients developed resistance and poor clinical efficacy during bortezomib treatment,and the clinical resistance rate of bortezomib was 34.0％.The results of multivariate analysis showed that high bone marrow microvessel density(MVD)and high bone marrow supernatant VEGF,HGF,and bFGF expression levels were independent risk factors for bortezomib resistance in MM patients(P＜0.05).The area under the ROC curve(AUC)of the model jointly constructed by bone marrow MVD,serum VEGF,HGF,bFGF and TNF-α levels was 0.924,and its sensitivity and specificity were 92.6％and 78.8％,which were higher than those of the bone marrow MVD model(AUC=0.743)and the vasogenesis factor model(AUC=0.878).The calibration curve of the joint prediction model was close to the standard curve,indicating that the model is more consistent.The results of H-L goodness-of-fit test showed x2=14.748,P=0.164,the joint prediction model had a good fit.The DCA curve showed that the clinical net benefit of intervention in the range of 0.0～1.0 was greater than that of full intervention and no intervention.Conclusion:The prediction model based on bone marrow MVD and vasogenesis factors(VEGF,HGF,bFGF)in MM patients has higher clinical evaluation performance and predictive value.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

Objective:To analyze the clinical characteristics and all-cause mortality influencing factors of patients with Keshan disease.Methods:Clinical data of patients with Keshan disease from Keshan disease areas in Sichuan Province and Yunnan Province were collected and retrospectively analyzed for clinical characteristics and survival status during regular follow-up. According to the survival status of patients, the survey subjects were divided into a survival group and a death group. All-cause mortality (referring to the death caused by various reasons throughout the follow-up period) was used as the study endpoint. Kaplan-Meier (K-M) survival curve analysis and log-rank χ 2 test were performed, univariate and multivariate Cox regression analysis were used for all-cause mortality factor analysis. Results:A total of 176 patients with Keshan disease were collected, including 92 cases in Sichuan Province and 84 cases in Yunnan Province. Among all the patients, there were 105 males, accounting for 59.66%, and 71 females, accounting for 40.34%. The age was (53.89 ± 13.19) years old. Thirty-five cases died from all causes, with a mortality rate of 19.89%. There were significant differences in age ( t = 2.09, P = 0.038), New York Heart Association (NYHA) cardiac function grading (χ 2 = 14.62, P < 0.001) and ventricular premature contraction (χ 2 = 6.82, P = 0.009) between the survival group and the death group. K-M survival curve analysis showed that patients with Keshan disease complicated by premature ventricular contraction and high NYHA cardiac function grading (Ⅲ and Ⅳ) had higher all-cause mortality (log-rank χ 2 = 8.72, 22.49, P < 0.05). Univariate Cox regression analysis showed that NYHA cardiac function grading and ventricular premature contraction ( HR = 3.09, 2.71, P < 0.05) were predictive influencing factors for all-cause mortality in patients with Keshan disease. Multivariate Cox regression analysis showed that NYHA cardiac function grading ( HR = 6.57, P = 0.002) and ventricular premature contraction ( HR = 2.98, P = 0.050) were independent factors for all-cause mortality in patients with Keshan disease. Conclusions:Among 176 patients with Keshan disease, the number of patients with poor cardiac function (NYHA cardiac function grading Ⅲ and Ⅳ) and arrhythmia is high. NYHA cardiac function grading and ventricular premature contractions are independent influencing factors for all-cause mortality in patients with Keshan disease.

Objective:To analyze the clinical characteristics, prognosis and gene mutation in patients with dilated cardiomyopathy (DCM) in Keshan disease area of Sichuan Province, and to explore the risk factors for all-cause death in DCM patients.Methods:In June 2016, 55 DCM patients diagnosed at the local disease prevention and control center through clinical manifestations, electrocardiogram examination, and echocardiography were selected as the survey subjects in Mianning County, Liangshan Yi Autonomous Prefecture, and Renhe District, Panzhihua City, Keshan disease areas of Sichuan Province. Baseline clinical data were analyzed and long-term follow-up was conducted. The follow-up period ended June 15, 2021, with the endpoint of all-cause death. Univariate Cox regression was used to analyze the influencing factors of all-cause death in patients, and Kaplan-Meier (K-M) survival curve was used to analyze the survival time of patients. At the same time, peripheral venous blood was collected from 27 DCM patients. After separating white blood cells, DNA was extracted, and whole exome sequencing was performed to screen potential pathogenic genes.Results:Among the 55 DCM patients, 40 were males and 15 were females. The age was (54.09 ± 12.38) years old. The heart function classification of New York Heart Association (NYHA) was mainly grade Ⅱ and Ⅲ, accounting for 94.55% (52/55). The follow-up time for 55 DCM patients was (7.02 ± 2.96) years, and 17 patients experienced all-cause death, accounting for 30.91% (17/55), including 15 males and 2 females. Compared with the survival group, the death group had a lower incidence of syncope (χ 2 = 6.57, P = 0.010), but higher rates of bilateral lower limb edema (χ 2 = 6.43, P = 0.017), pulmonary congestion (χ 2 = 7.61, P = 0.006), intraventricular conduction block (χ 2 = 6.41, P = 0.011), and angiotensin-converting enzyme inhibitor (ACEI) use (χ 2 = 6.57, P = 0.010), as well as increased left ventricular diameter ( t = 2.36, P = 0.022). Univariate Cox regression analysis showed that bilateral lower limb edema [hazard ratio ( HR) = 4.61, P = 0.042] and intraventricular conduction block ( HR = 3.20, P = 0.019) were risk factors for all-cause death of DCM patients. The results of K-M survival curve analysis showed that patients with bilateral lower limb edema and intraventricular conduction block had higher all-cause death rates (log-rank χ 2 = 5.02, 6.24, P = 0.025, 0.012). Whole exome sequencing results showed that 4 patients were detected to carry pathogenic or suspected pathogenic gene mutations, with a positive rate of 14.81% (4/27), involving three genes: β-myosin heavy chain 7 (MYH7), calreticulin 3 (CALR3), and gelsolin (GSN). Conclusions:The all-cause death rate of DCM patients in the Keshan disease area of Sichuan Province is relatively high. Dead patients are prone to bilateral lower limb edema, pulmonary congestion, and intraventricular conduction block, as well as increased left ventricular diameter. Bilateral lower limb edema and intraventricular conduction block are independent predictive risk factors for all-cause death in DCM patients. MYH7, CALR3 and GSN are involved in the pathogenesis of DCM.

This study was aimed at understanding the molecular characteristics of Plasmodium ovale curtisi and Plasmodi-um ovale wallikeri imported cases in Chongqing,to provide data to support monitoring and control efforts.In a retrospective analysis,26 Plasmodium ovale archival blood samples were characterized with respect to five molecular markers(Cox1,Cytb,Tra,Dhfr,and K13)from 2013 to 2023.PCR amplification of partial fragments of the Cox1,Cytb,and Tra genes of Plas-modium ovale was performed to distinguish the two subspecies.The drug-resistance Dhfr and K13 genes of Plasmodium ovale were amplified with PCR assays followed by DNA sequencing,and the sequences were aligned.The differentiation of 26 cases of Plasmodium ovale(14 cases of curtisi subspecies and 12 cases of wallikeri subspecies)according to ssrRNA was consistent with the classification results of Cox1,Cytb,and TRA genes.Thirteen single nucleotide dimorphism sites were identified in Cox 1,including the 145 and 153 loci,with only variations in amino acids M176I and I288V at loci 528 and 862,and N337H mutation in one sample.Twelve base substitutions were found among Cytb gene subspecies,with only the M248I mutation in amino acid 248.A total of 49 nucleotide dimorphism sites in Tra gene,resulting in 18 amino acid mutations,were identified be-tween the two subspecies.In the curtisi type sample,the poc1 type had more PINTINPINTIN and TITPIS amino acid units than the poc2 type.The mutation rate of the Dhfr gene was rel-atively high:25％of the samples showed S58R mutations.The K13 gene subspecies was not homozygous,and one sample was heterozygous.This study confirmed the dimorphism and mutation sites between Plasmodium ovale curtisi and wallikeri sub-species in Cox1,Cytb,Tra,Dhfr,and K13 gene fragments of imported Plasmodium ovale in Chongqing,thus enriching knowledge regarding gene polymorphisms in Plasmodium ovale curtisi and wallikeri imported cases.

OBJECTIVE: To explore the immunological mechanisms underlying spermatogenetic malfunction in patients with non-obstructive azoospermia (NOA) based on bioinformatics and machine learning, and to screen out the key genes associated with spermatogenesis failure. METHODS: NOA-related datasets were obtained from the GEO database, and the differentially expressed genes identified by differential analysis and weighted gene co-expression network analysis (WGCNA). A model of spermatogenesis scoring was established for analysis of the immunological microenvironment and cell interaction networks related to spermatogenesis failure. The key genes were screened out by machine learning, followed by analysis of their correlation with T cells and macrophages. An NOA mouse model was constructed for validation of transcriptome sequencing. RESULTS: Seventy-five differentially expressed genes were identified for the establishment of the spermatogenesis scoring model. The low spermatogenesis score group showed a higher infiltration of the immune cells, with an increased proportion of T cells and macrophages and a correlation of cell interaction signals with immunity. SOX30, KCTD19, ASRGL1 and DRC7 were identified by machine learning as the key genes related to spermatogenesis, with down-regulated expressions in the NOA group, and their expression levels negatively correlated with the infiltration of T cells and macrophages. The accuracy of the spermatogenesis scoring and machine learning models, as well as the trend of the expression levels of the key genes, was successfully validated with the transcriptome sequencing data on the NOA mouse testis. CONCLUSION The development of NOA is closely associated with enhanced immunological microenvironment in the testis. T cells and macrophages may play important roles in spermatogenesis failure. SOX30, KCTD19, ASRGL1 and DRC7 are potential biomarkers for the diagnosis and treatment of NOA.
Male ; Azoospermia/genetics* ; Machine Learning ; Animals ; Computational Biology ; Mice ; Humans ; Spermatogenesis/genetics* ; Gene Expression Profiling ; Macrophages/immunology* ; Gene Regulatory Networks ; T-Lymphocytes/immunology* ; Transcriptome

Carthami Flos, as a traditional blood-activating and stasis-resolving drug, possesses anti-tumor, anti-inflammatory, and immunomodulatory pharmacological activities. Flavonoid glycosides are the main bioactive components in Carthamus tinctorius. Glycosyltransferase deserves to be studied in depth as a downstream modification enzyme in the biosynthesis of active glycoside compounds. This study reported a flavonoid glycosyltransferase CtUGT49 from C. tinctorius based on the transcriptome data, followed by bioinformatic analysis and the investigation of enzymatic properties. The open reading frame(ORF) of the gene was 1 416 bp, encoding 471 amino acid residues with the molecular weight of about 52 kDa. Phylogenetic analysis showed that CtUGT49 belonged to the UGT73 family. According to in vitro enzymatic results, CtUGT49 could catalyze naringenin chalcone to the prunin and choerospondin, and catalyze phloretin to phlorizin and trilobatin, exhibiting good substrate versatility. After the recombinant protein CtUGT49 was obtained by hetero-logous expression and purification, the enzymatic properties of CtUGT49 catalyzing the formation of prunin from naringenin chalcone were investigated. The results showed that the optimal pH value for CtUGT49 catalysis was 7.0, the optimal temperature was 37 ℃, and the highest substrate conversion rate was achieved after 8 h of reaction. The results of enzymatic kinetic parameters showed that the K_m value was 209.90 μmol·L~(-1) and k_(cat) was 48.36 s~(-1) calculated with the method of Michaelis-Menten plot. The discovery of the novel glycosyltransferase CtUGT49 is important for enriching the library of glycosylation tool enzymes and provides a basis for analyzing the glycosylation process of flavonoid glycosides in C. tinctorius.
Carthamus tinctorius/chemistry* ; Phylogeny ; Flavonoids/analysis* ; Glycosides/analysis* ; Glycosyltransferases/genetics* ; Anti-Inflammatory Agents ; Chalcones

Gastric cancer （GC） is a digestive tract tumor that occurs in the epithelial tissues of the gastric mucosa， seriously affecting the life and health of patients， and its mortality rate ranks the third among malignancies. Although medical technology has made great progress in recent years， the progression of GC still cannot be effectively controlled by surgery， chemotherapy， and targeted therapy. The pathogenesis of GC is extremely complex and is closely related to the tumor microenvironment， chronic inflammation， and immune escape， among which the reduction of tumor cell apoptosis is one of the important mechanisms for the occurrence and development of GC. Apoptosis refers to the process of spontaneous termination of cell life caused by genes under specific physiological or pathological conditions， which is of great significance for maintaining the stability of the internal environment. Researchers have found that in the GC state， mitochondrial endogenous apoptosis， endoplasmic reticulum stress， external death receptors， and other apoptosis pathways are regulated by multiple signaling pathways and genes， which together lead to the decline of GC cell apoptosis rate and thus promote the progression of GC. Chinese medicine is advantageous and characterized by multiple components， multiple targets， synergistic effect， and few adverse reactions. A large number of studies have shown that polysaccharide components， as effective components of Chinese medicine， have biological activities such as cancer inhibition， blood sugar control， anti-inflammation， antioxidant damage， and anti-virus， and can effectively inhibit the deterioration of GC by inducing cell apoptosis， gradually becoming a hot spot in GC drug research and development. However， systematic reviews on the apoptosis of GC induced by Chinese medicine polysaccharides are rarely reported. Therefore， this paper analyzed and summarized the studies of Chinese medicine polysaccharides in promoting apoptosis and interfering with GC， in order to provide a theoretical basis for the basic research， new drug development， and clinical application of Chinese medicine polysaccharides in the intervention of GC.