Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

OBJECTIVE: Pneumoconiosis, a lung disease caused by irreversible fibrosis, represents a significant public health burden. This study investigates the causal relationships between gut microbiota, gene methylation, gene expression, protein levels, and pneumoconiosis using a multi-omics approach and Mendelian randomization (MR). METHODS: We analyzed gut microbiota data from MiBioGen and Esteban et al. to assess their potential causal effects on pneumoconiosis subtypes (asbestosis, silicosis, and inorganic pneumoconiosis) using conventional and summary-data-based MR (SMR). Gene methylation and expression data from Genotype-Tissue Expression and eQTLGen, along with protein level data from deCODE and UK Biobank Pharma Proteomics Project, were examined in relation to pneumoconiosis data from FinnGen. To validate our findings, we assessed self-measured gut flora from a pneumoconiosis cohort and performed fine mapping, drug prediction, molecular docking, and Phenome-Wide Association Studies to explore relevant phenotypes of key genes. RESULTS: Three core gut microorganisms were identified: Romboutsia ( OR = 0.249) as a protective factor against silicosis, Pasteurellaceae ( OR = 3.207) and Haemophilus parainfluenzae ( OR = 2.343) as risk factors for inorganic pneumoconiosis. Additionally, mapping and quantitative trait loci analyses revealed that the genes VIM, STX8, and MIF were significantly associated with pneumoconiosis risk. CONCLUSIONS This multi-omics study highlights the associations between gut microbiota and key genes ( VIM, STX8, MIF) with pneumoconiosis, offering insights into potential therapeutic targets and personalized treatment strategies.
Humans ; Male ; East Asian People/genetics* ; Europe ; Gastrointestinal Microbiome ; Lung ; Macrophage Migration-Inhibitory Factors/metabolism* ; Mendelian Randomization Analysis ; Multiomics ; Pneumoconiosis/microbiology* ; Intramolecular Oxidoreductases

Body weight abnormalities, including overweight, obesity, and underweight, have become a dual public health challenge in Chinese adults: overweight and obesity lead to a variety of chronic complications, while underweight increases the risks of malnutrition, sarcopenia, and organ dysfunction. To systematically address these issues, multidisciplinary experts in endocrinology, sports science, nutrition, and psychiatry from various regions have held multiple weight management seminars. Based on the latest epidemiological data and clinical evidence, they expanded the guideline to include assessment and intervention strategies for underweight, in addition to the core content of obesity management. This guideline outlines the etiological mechanisms, evaluation methods, and multidimensional management strategies for overweight and obesity, covering key areas such as diagnosis and assessment, medical nutrition therapy, exercise prescription, pharmacological intervention, and psychological support. It is intended to provide a scientific and standardized approach to weight management across the adult population, aiming to curb the rising prevalence of obesity, mitigate complications associated with abnormal body weight, and improve nutritional status and overall quality of life.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

Periarticular fracture of the shoulder is a common type of fractures in the elderly. Postoperative adverse events such as internal fixation failure, humeral head ischemic necrosis and upper limb dysfunction occur frequently, which seriously endangers the exercise and health of the elderly. Compared with the fracture with normal bone mass, the osteoporotic periarticular fracture of the shoulder is complicated with slow healing and poor rehabilitation, so the clinical management becomes more difficult. At present, there is no targeted guideline or consensus for this type of fracture in China. In such context, experts from Youth Osteoporosis Group of Chinese Orthopedic Association, Orthopedic Expert Committee of Geriatrics Branch of Chinese Association of Gerontology and Geriatrics, Osteoporosis Group of Youth Committee of Chinese Association of Orthopedic Surgeons and Osteoporosis Committee of Shanghai Association of Chinese Integrative Medicine developed the Chinese expert consensus on the diagnosis and treatment of osteoporotic periarticular fracture of the shoulder in the elderly ( version 2023). Nine recommendations were put forward from the aspects of diagnosis, treatment strategies and rehabilitation of osteoporotic periarticular fracture of the shoulder, hoping to promote the standardized, systematic and personalized diagnosis and treatment concept and improve functional outcomes and quality of life in elderly patients with osteoporotic periarticular fracture of the shoulder.

Objective:To develop and validate a nomogram model for predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC) based on preoperative enhanced computed tomography imaging features and clinical data.Methods:The clinical data of 210 patients with HCC undergoing surgery in the Second Affiliated Hospital of Anhui Medical University from May 2018 to May 2022 were retrospectively analyzed, including 172 males and 38 females, aged (59±10) years old. Patients were randomly divided into the training group ( n=147) and validation group ( n=63) by systematic sampling at a ratio of 7∶3. Preoperative enhanced computed tomography imaging features and clinical data of the patients were collected. Logistic regression was conducted to analyze the risk factors for HCC with MVI, and a nomogram model containing the risk factors was established and validated. The diagnostic efficacy of predicting MVI status in patients with HCC was assessed by receiver operating characteristic (ROC) curve, calibration curves, decision curve analysis (DCA), and clinical impact curve (CIC) of the subjects in the training and validation groups. Results:The results of multifactorial analysis showed that alpha fetoprotein ≥400 μg/ml, intra-tumor necrosis, tumor length diameter ≥3 cm, unclear tumor border, and subfoci around the tumor were independent risk factors predicting MVI in HCC. A nomogram model was established based on the above factors, in which the area under the curve (AUC) of ROC were 0.866 (95% CI: 0.807-0.924) and 0.834 (95% CI: 0.729-0.939) in the training and validation groups, respectively. The DCA results showed that the predictive model thresholds when the net return is >0 ranging from 7% to 93% and 12% to 87% in the training and validation groups, respectively. The CIC results showed that the group of patients with predictive MVI by the nomogram model are highly matched with the group of patients with confirmed MVI. Conclusion:The nomogram model based on the imaging features and clinical data could predict the MVI in HCC patients prior to surgery.

Long non-coding RNA (lncRNA) is a type of non-coding RNA with the more than 200 nucleotides. Several lncRNAs have been identified as the potential targets for cancer therapy. LncRNA00067110 is one of the differentially expressed genes in the transcriptome profiles of melanoma B16-F10 cells compared to normal mice melanocytes. To investigate whether lncRNA00067110 regulates the proliferation, apoptosis and melanogenesis of B16-F10 cells, the calcium-binding tyrosine phosphorylation regulated protein (Cabyr) target gene was predicted by LncTar and verified by dual luciferase activities. The regulating function of lncRNA00067110 was investigated by the analysis of transcriptome profiles and to detect the proliferation, apoptosis and melanin production of B16-F10 cells transfected by the overexpression plasmids of lncRNA00067110. The results showed that the relationship of lncRNA00067110 targeting Cabyr, the mRNA and protein levels of proliferation (MEK/ERK/MNK/CREB) and melanogenesis-related genes (TYR family and CREB) were significantly down-regulated, while the mRNA and protein levels of apoptosis-related genes (AKT and Bcl-2) were up-regulated in B16-F10 cells with lncRNA00067110 overexpression. The transcriptome profile of B16-F10 cells with lncRNA00067110 overexpression showed that 17 genes were differentially expressed, among which Cabyr was up-regulated. Furthermore, the effect of lncRNA00067110 on the phenotypes of cell proliferation and apoptosis were verified. The results suggested that lncRNA00067110 might be a novel target for the treatment of melanoma by targeting Cabyr, which regulate the expression of related genes to inhibit the proliferation and melanogenesis, as well as to induce the apoptosis of B16-F10 cells.

The aim of this study was to elucidate the mechanism of nuciferine on alleviating obesity based on modulating gut microbiota, ameliorating chronic inflammation, and improving gut permeability. In this study, the obese model mice were induced by high-fat diet and then randomly divided into model group, and nuciferine group; some other mice of the same week age were fed with normal diet as normal group. In the modeling process, the mice were administered intragastrically(ig) for 12 weeks. In the course of both modeling and treatment, the body weight and food intake of mice in each group were measured weekly. After modeling and treatment, the Lee's index, weight percentage of inguinal subcutaneous fat, and the level of blood lipid in each group were measured. The pathological changes of adipocytes were observed by HE staining to evaluate the efficacy of nuciferine treatment in obese model mice. 16 S rRNA sequencing analysis was conducted to study the changes in diversity and abundance of gut microbiota after nuciferine treatment. Enzyme-linked immunosorbent assay(ELISA) and quantitative Real-time polymerase chain reaction(qPCR) were used to detect the levels of inflammatory factors interleukin-6(IL-6), interleukin-1β(IL-1β), tumor necrosis factor-α(TNF-α) and the expression of related genes in adipose tissue of mice in each group, so as to evaluate the effect of nuciferine on chronic inflammation of mice in obese model group. qPCR was used to detect the expression of occludin and tight junction protein 1(ZO-1)gene in colon tissure, so as to evaluate the effect of nuciferine on intestinal permeability of mice in obese group. Nuciferine decreased the body weight of obese mice, Lee's index, weight percentage of inguinal subcutaneous fat(P<0.05), and reduced the volume of adipocytes, decreased the level of total cholesterol(TC), triglyceride(TG), and low density lipoprotein cholesterol(LDL-C)(P<0.05) in serum, improved dysbacteriosis, increased the relative abundance of Alloprevotella, Turicibacter, and Lactobacillus, lowered the relative abundance of Helicobac-ter, decreased the expression of inflammatory cytokines IL-6, IL-1β, and TNF-α genes in adipose tissue(P<0.01), decreased the levels of inflammatory cytokines IL-6, IL-1β, and TNF-α in serum(P<0.05), and increased the expression of occludin and ZO-1 genes related to tight junction in colon tissue(P<0.01). Nuciferine could treat obesity through modulating gut microbiota, decreasing gut permeability and ameliorating inflammation.
Animals ; Aporphines ; Diet, High-Fat/adverse effects* ; Gastrointestinal Microbiome ; Mice ; Mice, Inbred C57BL ; Mice, Obese ; Obesity/genetics*

Objective:To explore the feasibility and clinical efficacy of gelatin sponge packing in reducing bone cement leakage in percutaneous kyphoplasty (PKP).Methods:A retrospective case-control study was conducted in data of 171 patients (171 vertebrae) with monosegmental lumbar osteoporosis compressive fracture treated by PKP from January 2015 to December 2018 in Sichuan Orthopedic Hospital. There were 66 males and 105 females, with the age of (67.9±6.7)years (range, 60-87 years). There were 22 patients with T 10 fracture, 28 with T 11 fracture, 37 with T 12 fracture, 34 with L 1 fracture, 32 with L 2 fracture and 18 with L 3 fracture. A total of 80 patients were pre-filled with gelatin sponge before injection (Group A), and 91 patients were not filled with gelatin sponge before injection (Group B). The operation time, amount of bone cement, and rate of bone cement leakage were recorded. The change of anterior vertebral height, Cobb angle, visual simulation score (VAS) and Oswestry disability index (ODI) were compared before operation and at postoperative 1 day, 3 months, 6 months, 12 months. Results:All patients were followed up for 1-12 months [(12.8±0.6)months]. The operation time in Group A and B was (48.3±1.2)minutes and (42.3±1.3)minutes ( P<0.05). The amount of bone cement in Group A and B was (5.4±0.8)ml and (5.6±0.7)ml ( P>0.05). The incidence of bone cement leakage in Group A and B was 11% (9/80) and 26% (24/91) ( P<0.05). There was no significant difference between the two groups in the anterior height of injured vertebrae, change of Cobb angle, VAS and ODI before and after operation ( P>0.05). Conclusion:Gelatin sponge can reduce the rate of bone cement leakage in PKP for the treatment of thoracolumbar osteoporosis compressive fracture, and has similar effect with PKP in correcting kyphosis, alleviating pain and improving life quality.

Objective:To investigate the clinicopathological characteristics of primary gastrointestinal stromal tumors (GIST) with PDGFRα mutation and analyze the prognosis of different subtypes.Methods:From Jun 2010 to Jun 2019, the clinicopathological data of 35 patients with primary PDGFRα mutation GIST, who underwent surgical therapy in the Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, were analyzed retrospectively.Results:The main symptoms was abdominal pain (28 cases, 80%), followed by abdominal mass (6 cases, 17%), and hemafecia (1 case, 3%). 31 primary lesions (89%) were located in the stomach and 4 (11%) in other than stomach. 13 cases (37%) were of epithelioid cells, 14 cases (40%) were of spindle cells and 8 cases (23%) were of mixed cells. 27 cases (77%) were CD117 positive , 28 cases (80%) CD34 positive , and 30 cases (86%) were DOG-1 positive. 19 cases (54%) had D842V mutation and 16 cases (46%) had non-D842V mutation. Complete surgical resection was performed in all patients, with no perioperative death. The 3-year recurrence-free survival rate of the D842V mutation group was lower than that of the non-D842V mutation group (84% vs. 100%, P=0.045). Conclusions:The mutation rate of PDGFRα gene was low, mostly derived from the stomach. PDGFRα mutation GIST presents inert biological behavior and the overall prognosis was good.