OBJECTIVE: Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity. METHODS: To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes. RESULTS: We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1. CONCLUSION We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Circadian Rhythm/genetics* ; Prognosis ; Male ; Female ; Biomarkers, Tumor/genetics* ; Middle Aged ; Machine Learning ; Computational Biology

OBJECTIVE: To investigate the association between ABO blood types and gestational diabetes mellitus (GDM) risk. METHODS: A prospective birth cohort study was conducted. ABO blood types were determined using the slide method. GDM diagnosis was based on a 75-g, 2-h oral glucose tolerance test (OGTT) according to the criteria of the International Association of Diabetes and Pregnancy Study Groups. Logistic regression was applied to calculate the odds ratios ( ORs) and 95% confidence intervals ( CIs) between ABO blood types and GDM risk. RESULTS: A total of 30,740 pregnant women with a mean age of 31.81 years were enrolled in this study. The ABO blood types distribution was: type O (30.99%), type A (26.58%), type B (32.20%), and type AB (10.23%). GDM was identified in 14.44% of participants. Using blood type O as a reference, GDM risk was not significantly higher for types A ( OR = 1.05) or B ( OR = 1.04). However, women with type AB had a 19% increased risk of GDM ( OR = 1.19, 95% CI = 1.05-1.34; P < 0.05), even after adjusting for various factors. This increased risk for type AB was consistent across subgroup and sensitivity analyses. CONCLUSION The ABO blood types may influence GDM risk, with type AB associated with a higher risk. Incorporating it-either as a single risk factor or in combination with other known factors-could help identify individuals at risk for GDM before or during early pregnancy.
Humans ; Female ; Pregnancy ; Diabetes, Gestational/etiology* ; ABO Blood-Group System ; Adult ; Prospective Studies ; Risk Factors ; Young Adult

Pancreatic cancer is among the most malignant cancers,and thus early intervention is the key to better survival outcomes.However,no methods have been derived that can reliably identify early precursors of development into malignancy.Therefore,it is urgent to discover early molecular changes during pancreatic tumorigenesis.As aberrant glycosylation is closely associated with cancer progression,numerous efforts have been made to mine glycosylation changes as biomarkers for diagnosis;however,detailed glycoproteomic information,especially site-specific N-glycosylation changes in pancreatic cancer with and without drug treatment,needs to be further explored.Herein,we used comprehensive solid-phase chemoenzymatic glycoproteomics to analyze glycans,glycosites,and intact glycopeptides in pancreatic cancer cells and patient sera.The profiling of N-glycans in cancer cells revealed an increase in the secreted glycoproteins from the primary tumor of MIA PaCa-2 cells,whereas human sera,which contain many secreted glycoproteins,had significant changes of glycans at their specific glycosites.These results indicated the potential role for tumor-specific glycosylation as disease biomarkers.We also found that AMG-510,a small molecule inhibitor against Kirsten rat sarcoma viral oncogene homolog(KRAS)G12C mutation,profoundly reduced the glycosylation level in MIA PaCa-2 cells,suggesting that KRAS plays a role in the cellular glycosylation process,and thus glycosylation inhibition contributes to the anti-tumor effect of AMG-510.

Liver is the main organ of glucose and lipid metabolism, and persistent hyperglycemia is a common cause of liver injury. Panax notoginsenosides (PNS) is the main active ingredient in Panax notoginseng, which have anti-inflammatory and antioxidant effects. In this study, quantitative proteomics combined with experimental verification was used to explore the protective effect of PNS on liver injury in type 2 diabetes mellitus (T2DM) mice and its potential mechanism. All experiments were approved by the Ethical Committee Experimental Animal Center of North Sichuan Medical College (NSMC2022023). Hematoxylin-eosin (H&E) staining and transmission electron microscopy were used to observe the effect of PNS on the histopathological changes of liver in T2DM mice. TdT-mediated dUTP Nick-end labeling (TUNEL) staining was used to analyze the effect of PNS on hepatocyte apoptosis in T2DM mice. Reactive oxygen species (ROS) and malonaldehyde (MDA) kits were used to detect the effect of PNS on oxidative damage of liver in T2DM mice. Subsequently, proteomics profiling of mice in T2DM and T2DM+PNS groups were investigated based on quantitative proteomics. Differentially expressed proteins were screened out according to fold change and significance level in T2DM and T2DM+PNS groups, respectively. Pathway enrichment analysis of these differential proteins was done using GeneAnalytics database. Gene ontology analysis was conducted by Metascape database. Protein-protein interaction networks were constructed based on STRING database. Western blot was used to detect protein expression. These results showed that PNS could improve liver abnormalities, inhibit hepatocyte apoptosis, and improve the morphology of mitochondria and endoplasmic reticulum in T2DM mice. Proteome data demonstrated that 489 genes expression changed significantly in liver of T2DM mice compared with normal, and 42 ones were significantly reversed after PNS treatment and returned to normal levels. Pathway analysis showed that sterol hormone biosynthesis, adenosine 5′-monophosphate-activated protein kinase (AMPK) signaling pathway, oxidative stress, insulin signaling, phosphatidylinositol pathway, tumor necrosis factor-α (TNF-α) mediated inflammation, insulin resistance, and mTOR signaling pathway exhibited notable changes based on pathway enrichment ratio and significance level. It is worth noting that PNS could improve the abnormal changes of AMPK, TNF-α, apoptosis and insulin pathways. Western blot manifested that PNS inhibit the expression of Bax, Grp78 and Chop, reduce ratio of cleaved casp6/casp6, increase the levels of pAMPKα, HO-1 and Nu-Nrf2 in the liver of T2DM mice. These results suggested that PNS may play protective roles in the liver of T2DM mice by inhibiting apoptosis via activating AMPK/Nrf2/HO-1 signaling pathway, alleviating oxidative stress and endoplasmic reticulum stress.

Objective To establish an evaluation criterion for high-quality nursing services in comprehensive hospitals of Grade Three in Guangdong Province and provide references for promoting the evaluation of high quality nursing services and standardising high quality nursing services.Methods Based on literature review,brainstorming and references of relevant domestic systems,standards and policies,a pool of evaluation index items and a preliminary questionnaire were constructed.Delphi method was used for two rounds of expert consultations on evaluation indicators.Results The positive coefficients of the two rounds of expert consultations were of 80.00%and 91.67%,respectively,with the authority coefficients both at 0.93.The Kendall coordination coefficients for hospital part were 0.128 and 0.116 respectively,for ward part were 0.193 and 0.107 with statistical differences(both P＜0.001).The evaluation criteria for high-quality nursing services in general hospitals above the third level in Guangdong Province involved in nursing services of hospitals and wards.There were 8 primary indicators,22 secondary indicators and 65 tertiary indicators in the nursing services at hospital part,and 9 primary indicators,23 secondary indicators and 50 tertiary indicators in the nursing services at ward part.Conclusions The evaluation criteria for high-quality nursing services in comprehensive hospitals above the third level in Guangdong Province,established in this study,are scientifically valid and reliable.They allow improvement of management system for the high-quality nursing services as well as guide the healthy development of high-quality nursing services.

Objective:To compare the consistency of lymphoma multigene detection panels based on next-generation sequencing (NGS) with FISH detection of B-cell lymphoma gene rearrangement.Methods:From January 2019 to May 2023, fusion genes detected by lymphoma-related 413 genes that targeted capture sequencing of 489 B-cell lymphoma tissues embedded in paraffin were collected from Henan Cancer Hospital, and the results were compared with simultaneous FISH detection of four break/fusion genes: BCL2, BCL6, MYC, and CCND1. Consistency was defined as both methods yielding positive or negative results for the same sample. The relationship between fusion mutation abundance in NGS and the positivity rate of cells in FISH was also analyzed.Results:Kappa consistency analysis revealed high consistency between NGS and FISH in detecting the four B-cell lymphoma-related gene rearrangement ( P<0.001 for all) ; however, the detection rates of positive individuals differed for the four genes. Compared with FISH, NGS demonstrated a higher detection rate for BCL2 rearrangement, a lower detection rate for BCL6 and MYC rearrangement, and a similar detection rate for CCND1 rearrangement. No correlation was found between fusion mutation abundance in NGS and the positivity rate of cells in FISH. Conclusions:NGS and FISH detection of B-cell lymphoma gene rearrangement demonstrate overall good consistency. NGS is superior to FISH in detecting BCL2 rearrangement, inferior in detecting MYC rearrangement, and comparable in detecting CCND1 rearrangement.

Background: Genetic defects in the human thyroid-stimulating hormone (TSH) receptor (TSHR) gene can cause congenital hypothyroidism (CH). However, the biological functions and comprehensive genotype–phenotype relationships for most TSHR variants associated with CH remain unexplored. We aimed to identify TSHR variants in Chinese patients with CH, analyze the functions of the variants, and explore the relationships between TSHR genotypes and clinical phenotypes. Methods: In total, 367 patients with CH were recruited for TSHR variant screening using whole-exome sequencing. The effects of the variants were evaluated by in-silico programs such as SIFT and polyphen2. Furthermore, these variants were transfected into 293T cells to detect their Gs/cyclic AMP and Gq/11 signaling activity. Results: Among the 367 patients with CH, 17 TSHR variants, including three novel variants, were identified in 45 patients, and 18 patients carried biallelic TSHR variants. In vitro experiments showed that 10 variants were associated with Gs/cyclic AMP and Gq/11 signaling pathway impairment to varying degrees. Patients with TSHR biallelic variants had lower serum TSH levels and higher free triiodothyronine and thyroxine levels at diagnosis than those with DUOX2 biallelic variants. Conclusions We found a high frequency of TSHR variants in Chinese patients with CH (12.3%), and 4.9% of cases were caused by TSHR biallelic variants. Ten variants were identified as loss-of-function variants. The data suggest that the clinical phenotype of CH patients caused by TSHR biallelic variants is relatively mild. Our study expands the TSHR variant spectrum and provides further evidence for the elucidation of the genetic etiology of CH.

Aim To explore the mechanism of Guso-ngYigu decoction(GSYG)in the treatment of postm-enopausal osteoporosis(PMOP)based on the gut mi-crobiota.Methods Sixty SPF grade SD rats were ran-domly divided into Control group(Control),Model group(Model),GSYG low-dose group(GSYG-L,1.25 g·kg-1),medium-dose group(GSYG-M,2.5 g·kg-1)and high-dose group(GSYG-H,5 g·kg-1)and alendronate group(Al,0.89 mg·kg-1),with 10 rats in each group.The changes of bone histomorpholo-gy were detected by HE staining and the changes of fe-mur tissue structure were observed by micro-CT.The fecal samples from the colon of Control group,Model group,GSYG-H group were taken to extract the DNA of fecal samples.The Illumina Miseq platform was used to carry out high-throughput sequencing.Results Compared with the Control group,bone trabecula in the Model group was sparse,BV/TV,Tb.Th,Tb.N and BMD decreased(P＜0.01),while SMI and Tb.Sp increased(P＜0.01);compared with the Model group,the number of bone trabeculae in GSYG-L,GSYG-M,GSYG-H group and Al group increased,the bone microstructure was improved,BV/TV,Tb.Th,Tb.N and BMD increased significantly(P＜0.05),and SMI and Tb.Sp increased(P＜0.05).Sequencing results of gut microbiota showed that,compared with the Control group,the gut microbiota diversity of Mod-el group decreased,the flora abundance of Firmicutes decreased,while the Bacteroidetes abundance in-creased.Compared with the Model group,the Firmi-cutes abundance increased and Bacteroidetes abundance decreased in GSYG-H group.Conclusions GSYG can improve bone microstructure and increase bone mineral density,and its mechanism may be related to increasing the diversity of gut microbiota and regulating the structure of gut microbiota.

Objective: To analyze the survival of newly diagnosed malignant tumors in cancer registration areas of Hubei Province from 2013 to 2015. Methods: From January 1, 2013 to December 31, 2015, all newly diagnosed malignant tumors were collected from cancer registration areas in Hubei Province, and patients were followed up using a combination of active and passive methods. Cancer survival was analyzed using the strs package in Stata software. Observed and expected survival were calculated using the life table and Ederer Ⅱ methods, and the difference in survival rate of patients with different sex, age, urban and rural areas and different cancer species was compared. Results: From 2013 to 2015, 83 987 new malignant tumors were diagnosed in cancer registration areas in Hubei Province, including 45 742 males (54.46%) and 38245 females (45.54%). The overall 5-year relative survival rate was 41.46%, 34.43% for men and 49.63% for women. With the increase of age, the observed survival rate and relative survival rate of patients of different genders showed a decreasing trend. The 5-year relative survival rate of patients with malignant tumors was 47.58% in urban areas and 26.58% in rural areas. The observed survival rate and relative survival rate in rural areas were significantly lower than those in urban areas. The overall 5-year relative survival rates for common malignancies were 20.61% for lung cancer, 15.36% for liver cancer, 22.89% for esophageal cancer, 34.92% for gastric cancer, and 54.87% for colorectal cancer. In addition, the 5-year relative survival rates of common malignant tumors in women were 78.65% for breast cancer and 52.55% for cervical cancer. Conclusions: In Hubei Province, the survival rate of malignant tumors is different among different genders, regions, age groups and cancer species. Prevention and treatment and health education should be strengthened for malignant tumor patients in rural areas and those with high incidence and low survival rate such as liver cancer and lung cancer, and relevant strategies should be formulated according to the gender and age distribution characteristics of different cancer species.
Humans ; Female ; Male ; Liver Neoplasms ; Uterine Cervical Neoplasms/epidemiology* ; Lung Neoplasms ; China/epidemiology* ; Urban Population ; Incidence ; Survival Analysis ; Rural Population ; Registries

{L-End}Objective To analyze the effects of night shift work and overweight/obesity on blood pressure of workers in chemical fiber industry. {L-End}Methods A total of 1 004 workers of a chemical fiber factory were selected as the study subjects using convenient sampling method, and their blood pressure and body mass index were measured. Multiple linear regression model was used to analyze the relationship between night shift work and blood pressure, and multiple logistic regression was used to assess the independent impact and combined impact of night shifts and overweight/obesity on the risk of hypertension. {L-End}Results Compared with the non-night shift workers, the prevalence of hypertension in night shift workers was increased (5.3% vs 13.0%, P<0.05), with elevated systolic and diastolic blood pressure (both P<0.05). The results of multiple linear regression analysis showed that the systolic blood pressure and diastolic blood pressure of the night shift workers were higher than those of the non-night shift workers (both P<0.05), and the systolic blood pressure and diastolic blood pressure of overweight/obesity workers were higher than those of non-overweight/obesity workers (both P<0.01). The results of multiple logistic regression analysis showed that the risk of hypertension in night shift workers and overweight/obesity workers was higher than that in non-night shift workers and non-overweight/obesity workers [odds ratio (OR) and 95% confidence interval (CI) were 2.49 (1.04-5.99) and 2.65 (1.77-3.95), both P<0.05]. Night shift work and overweight/obesity showed a synergistic effect on blood pressure of workers. Compared to non-overweight/obesity non-night shift workers, overweight/obesity night shift workers had a higher risk of hypertension (OR=4.93, 95%CI: 1.70-14.29, P<0.01). {L-End}Conclusion Night shift work could lead to elevated blood pressure in workers in the chemical fiber industry, which is a potential risk factor for hypertension. The synergistic effect of night shift work and overweight/obesity may contribute to the increased risk of hypertension.