Consensus of Chinese experts on strengthening personalized prevention and treatment of type 2 diabetes

Up to now, there has not yet been guidance or consensus from Chinese experts in the field of personalized prevention and treatment of type 2 diabetes. In view of the above, the endocrinology diabetes Professional Committee of Chinese Non-government Medical Institutions Association, the integrated endocrinology diabetes Professional Committee of the integrated medicine branch of Chinese Medical Doctor Association, and the diabetes education and microvascular complications group of the diabetes branch of the Chinese Medical Association organized relevant experts to discuss and reach the "Chinese expert consensus on strengthening personalized prevention and treatment of type 2 diabetes" for reference in clinical practice.     

Investigation of the mechanisms leading to human sperm DNA damage based on transcriptome analysis by RNA-seq techniques

Research questionWhat are the molecular mechanisms leading to human sperm DNA damage?DesignSemen samples were collected and the sperm DNA fragmentation index (DFI) was assessed. Differentially expressed RNA in spermatozoa with a high (DFI ≥30%, experimental group) or normal (DFI <30%, control group) DFI were identified by RNA-sequencing (RNA-seq) technology, and Gene Ontology and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis was performed. Three differentially expressed RNA related to sperm DNA damage and repair, namely PMS1, TP53BP1 and TLK2, were validated using real-time quantitative (RT-qPCR).ResultsA total of 19,970 expressed RNA were detected in the two groups. Compared with the control group, the expression levels of 189 RNA in the experimental group were significantly increased and those of 163 genes decreased. Gene Ontology enrichment analysis showed that these RNA were mainly concentrated in the ATPase-dependent transmembrane transport complex, extracellular exosome, somatic cell DNA recombination, protein binding, cytoplasm and regulation of localization. KEGG pathway analysis showed that these RNA were mainly related to the PI3K-Akt signalling pathway, endocytosis, p53 signalling pathway and cGMP-PKG signalling pathway. The RT-qPCR results showed that the expression levels of PMS1, TP53BP1 and TLK2 in the experimental group were significantly lower than in the control group (P = 0.01, 0.015 and 0.004, respectively), which was identical to the results of RNA sequencing.ConclusionsDifferentially expressed RNA related to sperm DNA damage and repair may be identified by RNA-seq technology, which provides new insights into the understanding of sperm DNA damage and repair, and will help to discover new biomarkers related to sperm DNA damage.     

Kynurenine pathway alteration in acute pancreatitis and its role as a biomarker of infected necrosis

IntroductionInfected pancreatic necrosis (IPN) is a major cause of mortality in acute pancreatitis (AP). Currently, no specific strategies are available to predict the development of IPN. Earlier we reported that persistent down-regulation of HLA-DR increases risk of developing IPN. Altered kynurenine pathway (KP) metabolites showed poor prognosis in sepsis. Here we evaluated the role of HLA-DR and KP in IPN.MethodsPatients with ANP and healthy controls were enrolled. Demographic and clinical parameters were recorded. Circulating interleukin (IL)-8, 6, 1β, 10, Tumor necrosis factor-α were quantified using flowcytometry. Plasma procalcitonin, endotoxin, and KP (tryptophan, kynurenine) concentrations were estimated using ELISA. qRT-PCR was conducted to evaluate mRNA expression of HLA-DR, IL-10, Toll like receptor-4 (TLR-4), and kynurenine-3-monooxygenase (KMO) genes on peripheral blood mononuclear cells. Plasma metabolites were quantified using gas chromatography mass spectrometry (GC-MS/MS). Standard statistical methods were used to compare study groups. Metaboanalyst was used to analyse/visualize the metabolomics data.ResultsWe recruited 56 patients in Cohort-1 (IPN:26,Non-IPN:30), 78 in Cohort-2 (IPN:57,Non-IPN:21), 26 healthy controls. Increased cytokines, endotoxin, and procalcitonin were observed in patients with IPN compared to Non-IPN. HLA-DR and KMO gene expressions were significantly down-regulated in IPN groups, showed positive correlation with one another but negatively correlated with IL-6 and endotoxin concentrations. Increased IDO and decreased plasma tryptophan were observed in IPN patients. Metabolome analysis showed significant reduction in several essential amino acids including tryptophan in IPN patients. Tryptophan, at a concentration of 9 mg/ml showed an AUC of 91.9 (95%CI 86.5–97.4) in discriminating IPN.ConclusionHLA-DR downregulation and KP alteration are related to IPN. The KP metabolite plasma tryptophan can act as a potential biomarker for IPN.     

Biomarkers for response to immunotherapy in hepatobiliary malignancies

BackgroundThe advent of immune checkpoint inhibitors (ICIs) has revolutionized the therapeutic options of hepatobiliary malignancies. However, the clinical benefit provided by immunotherapy seems limited to a small subgroup of patients with hepatobiliary malignancies. The identification of reliable predictors of the response to immunotherapy is urgently needed.Data sourcesLiterature search was conducted in PubMed for relevant articles published up to May 2022. Information of clinical trials was obtained from https://clinicaltrials.gov/.ResultsBiomarkers for ICI response of hepatobiliary malignancies remain in the exploration stage and lack compelling evidence. Tumor programmed death-ligand 1 (PD-L1) expression is the most widely studied biomarker in hepatocellular carcinoma (HCC) and biliary tract cancers (BTCs), but there are conflicting results on its predictive potential. Tumor mutational burden (TMB) is generally low both in HCC and BTCs, and the clinical trials of TMB are rare in hepatobiliary malignancies. Promisingly, mismatch repair deficiency (dMMR)/high microsatellite instability (MSI-H) may be a predictive biomarker of response to anti-PD-1 therapy in BTCs. Furthermore, some emerging biomarkers, such as gut microbiota, show predictive potential in the preliminary studies. Radiomics and liquid-biopsy biomarkers, including circulating tumor cells, circulating tumor DNA (ctDNA) and exosomal PD-L1 provide a quick and non-invasive approach for monitoring the ICI response, showing a new promising direction.ConclusionsMultiple potential biomarkers for predicting ICI response of hepatobiliary malignancies have been explored and tried to apply in clinic. Yet there is no robust evidence to prove their clinical value in predicting immunotherapeutic response for patients with hepatobiliary malignancies. The identification of predictors for response to ICIs is an urgent need and major challenge. Further studies are warranted to validate the role of emerging biomarkers in predicting immunotherapeutic responses.     

肺腺癌患者血清TFF3的表达水平及其预后意义

目的 分析肺腺癌患者血清三叶因子3(TFF3)的表达水平，探讨其对肺腺癌预后评估的意义。方法 选取2015年1月至2018年12月于海安市中医院肿瘤科和呼吸科接受治疗的肺腺癌患者89例作为肺癌组，另选取同期体检合格者30例作为对照组。采用酶联免疫吸附（ELISA）法检测两组研究对象血清TFF3水平；绘制受试者工作特征（ROC）曲线评估TFF3对肺腺癌预后预测的价值；根据TFF3预测肺腺癌预后的截断值将患者分为TFF3高水平组48例（TFF3≥12.73 ng/mL）和TFF3低水平组41例（TFF3<12.73 ng/mL）。对肺腺癌组患者随访5～36个月采用Kaplan-Meier法进行生存分析，通过Log-rank法比较两组生存情况的差异。采用Cox多因素回归分析影响肺腺癌预后的危险因素。结果 肺癌组血清TFF3水平高于对照组，差异有统计学意义（P<0.05）;TFF3预测术后肺腺癌患者死亡的最佳临界点为12.73 ng/mL，灵敏度81.2%，特异度64.3%,ROC曲线下面积（AUC）为0.794;Spearman相关分析显示，血清TFF3水平与肿瘤体积、淋巴结转移...     

Effect of body mass index trajectory on lifetime risk of cardiovascular disease in a Chinese population: A cohort study

Background and aimsThe longitudinal trajectories of body mass index (BMI) can reflect the pattern of BMI changes. Lifetime risk quantifies the cumulative risk of developing a disease over the remaining life of a person. We aimed to identify the trajectory of BMI and explore its association with cardiovascular disease (CVD) in the Chinese population.Methods and resultsA total of 68,603 participants with a mean age of 55.46 years were included from the Kailuan cohort in Tangshan, China, who were free of CVD and cancer and with repeated measurements of BMI from 2006 to 2010. A latent mixture model was used to identify BMI trajectories. An improved Kaplan-Meier estimator was used to predict the lifetime risk of CVD according to BMI trajectories. During a median follow-up of 7.0 years, 3325 participants developed CVD. Five BMI trajectories were identified at three index ages (35, 45, and 55) respectively. For index age 35 years, compared with the stable low-normal weight group (22.7% [95% CI, 20.0%–25.4%]), the stable high-normal weight (27.6% [25.6%–29.5%]), stable overweight (29.4% [27.4%–31.4%]), stable-low obesity (32.8% [30.0%–35.5%]), and stable-high obesity (38.9% [33.3%–44.5%]) groups had a higher lifetime risk of CVD (P < 0.05). We observed similar patterns for stroke and myocardial infarction. Similarly, the lifetime risk of CVD was higher in the long-term overweight and obese groups at 45 and 55 index ages.ConclusionsLong-term overweight and obesity were associated with an increased lifetime risk of CVD. Our findings could assist in predicting the population burden of CVD.     

Efficacy and safety of PCSK9 inhibitors in patients with diabetes: A systematic review and meta-analysis

AimsIndividuals with diabetes have increased cardiovascular risk. Although PCSK9 inhibitors bring about a wide reduction in lipids, there is uncertainty about the effects for diabetic patients. We conducted a systematic review and meta-analysis to assess the efficacy and safety of PCSK9 inhibitors for diabetes.Data synthesisWe performed a meta-analysis comparing treatment with PCSK9 inhibitors versus controls up to July 2022. Primary efficacy endpoints were percentage changes in lipid profile parameters. We used random effects meta-analyses to combine data. Subgroups of diabetic patients (by diabetes type, baseline LDL-C, baseline HbA1c and follow-up time) were also compared. We included 12 RCTs comprising 14,702 patients. Mean reductions in LDL-C were 48.20% (95% CI: 35.23%, 61.17%) in patients with diabetes. Reductions observed with PCSK9 inhibitors were 45.23% (95% CI: 39.43%, 51.02%) for non-HDL-cholesterol, 30.39% (95% CI: 24.61%, 36.17%) for total cholesterol, 11.96% (95% CI: 6.73%, 17.19%) for triglycerides, 27.87% (95% CI: 22.500%, 33.17%) for lipoprotein(a), 42.43% (95% CI: 36.81%, 48.06%) for apolipoprotein B; increases in HDL-C of 5.97% (95% CI: 4.59%, 7.35%) were also observed. There was no significant difference in fasting plasma glucose (FPG) (WMD: 2.02 mg/mL; 95% CI: −1.83, 5.87) and HbA1c (WMD: 1.82%; 95% CI: −0.63, 4.27). Use of a PCSK9 inhibitor was not associated with increased risk of treatment-emergent adverse event (TEAE) (p = 0.542), serious adverse event (SAE) (p = 0.529) and discontinuations due to AEs (p = 0.897).ConclusionsPCSK9 inhibitor therapy should be considered for all diabetic individuals at high risk of atherosclerotic cardiovascular disease.Registration code in prosperoCRD42022339785.     

Bounding box-based 3D AI model for user-guided volumetric segmentation of pancreatic ductal adenocarcinoma on standard-of-care CTs

ObjectivesTo develop a bounding-box-based 3D convolutional neural network (CNN) for user-guided volumetric pancreas ductal adenocarcinoma (PDA) segmentation.MethodsReference segmentations were obtained on CTs (2006–2020) of treatment-naïve PDA. Images were algorithmically cropped using a tumor-centered bounding box for training a 3D nnUNet-based-CNN. Three radiologists independently segmented tumors on test subset, which were combined with reference segmentations using STAPLE to derive composite segmentations. Generalizability was evaluated on Cancer Imaging Archive (TCIA) (n = 41) and Medical Segmentation Decathlon (MSD) (n = 152) datasets.ResultsTotal 1151 patients [667 males; age:65.3 ± 10.2 years; T1:34, T2:477, T3:237, T4:403; mean (range) tumor diameter:4.34 (1.1–12.6)-cm] were randomly divided between training/validation (n = 921) and test subsets (n = 230; 75% from other institutions). Model had a high DSC (mean ± SD) against reference segmentations (0.84 ± 0.06), which was comparable to its DSC against composite segmentations (0.84 ± 0.11, p = 0.52). Model-predicted versus reference tumor volumes were comparable (mean ± SD) (29.1 ± 42.2-cc versus 27.1 ± 32.9-cc, p = 0.69, CCC = 0.93). Inter-reader variability was high (mean DSC 0.69 ± 0.16), especially for smaller and isodense tumors. Conversely, model's high performance was comparable between tumor stages, volumes and densities (p > 0.05). Model was resilient to different tumor locations, status of pancreatic/biliary ducts, pancreatic atrophy, CT vendors and slice thicknesses, as well as to the epicenter and dimensions of the bounding-box (p > 0.05). Performance was generalizable on MSD (DSC:0.82 ± 0.06) and TCIA datasets (DSC:0.84 ± 0.08).ConclusionA computationally efficient bounding box-based AI model developed on a large and diverse dataset shows high accuracy, generalizability, and robustness to clinically encountered variations for user-guided volumetric PDA segmentation including for small and isodense tumors.Clinical relevanceAI-driven bounding box-based user-guided PDA segmentation offers a discovery tool for image-based multi-omics models for applications such as risk-stratification, treatment response assessment, and prognostication, which are urgently needed to customize treatment strategies to the unique biological profile of each patient's tumor.     

High expression level of homocitrulline is correlated with seborrheic keratosis and skin aging

BackgroudHomocitrulline (Hcit), is involved in the pathological processes of some diseases. However, the role and function of Hcit (CBL) in human skin remains largely obscure.ObjectiveTo investigate the correlation of the level of Hcit in seborrheic keratosis, skin aging, and its clinical significance.MethodsImmunohistochemistry was used to analyze the level of Hcit in skin lesions of seborrheic keratosis (SK), unaffected skin (distant 0.5 centimeters from SK lesion), and normal skin of healthy subjects in the control group. ELISA test was used to detect the serum level of CBL in SK patients and healthy subjects of different ages.ResultsHcit was mainly localized in the nucleus of epidermal cells. In healthy control skin, the expression of Hcit increased with age and showed a positive correlation with age (the correlation coefficient was 0.806, p = 0.0002). The expressional level of Hcit in SK lesions was higher than that in healthy control skin (Z = −3.703, p = 0.0002). The serum level of CBL in healthy subjects and in SK patients increased with age (the correlation coefficient were 0.5763, p = 0.0032; 0.682, p = 0.004. respectively). The serum level of CBL in SK patients was higher than that in healthy subjects (Z = −2.19, p = 0.030).Study limitationsThe small serum sample size in the study.ConclusionThe high expressional level of Hcit is correlated with seborrheic keratosis and skin aging. HCit may be one of the potential biomarkers of skin aging.