Abstract In recent years, the prevalence of overweight and obesity among children and adolescents has risen rapidly, posing a serious threat to their physical and mental health. To provide scientific, systematic, and standardized weight management guidance for overweight and obese children and adolescents, the study focuses on the core concept of healthy lifestyle intervention, integrates multidisciplinary expert opinions and research findings,and proposes a comprehensive multidisciplinary intervention framework covering scientific exercise intervention, precise nutrition and diet, optimized sleep management, and standardized psychological support. It calls for the establishment of a multi agent collaborative management mechanism led by the government, implemented by families, fostered by schools, initiated by individuals, optimized by communities, reinforced by healthcare, and coordinated by multiple stakeholders. Emphasizing a child and adolescent centered approach, the consensus advocates for comprehensive, multi level, and personalized guidance strategies to promote the internalization and maintenance of a healthy lifestyle. It serves as a reference and provides recommendations for the effective prevention and control of overweight and obesity, and enhancing the health level of children and adolescents.

Objective:To investigate the application value of intelligent laboratory construction in the laboratory.Methods:All samples sent to the Department of Clinical Laboratory from all the clinical departments at the Eighth Affiliated Hospital of Sun Yat-Sen University from January 2018 to June 2024 were collected. Full-process intelligentization building was achieved by the use of logistics transmission system, automatic sampling system, automatic quality control system, automatic audit system, intelligent monitoring system, critical value monitoring system, and intelligent DxlabReport operation management system, et al. The normal distribution data were analyzed by two independent samples t-test, and the skew distribution data were analyzed by Mann-Whitney U test. Results:After the implementation of the pneumatic logistics transmission system, the turn-around time (TAT) from sample transmission to receiving decreased significantly from 51.5 (37.7, 73.0) min to 18.1 (14.4, 31.0) min ( U=0, P<0.001). After adopting the automatic sampling system, the TAT from receiving to sampling decreased from 41.0 (38.0, 45.0) min to 10.0 (5.0, 11.0) min ( U=0, P<0.001). The introduction of automatic quality control advanced the median time for the first batch of samples entering the biochemical testing pipeline from 9∶03 to 8∶27 and increased the reporting rate within 3 hours from 27.71%±1.39% to 36.90%±2.30% ( t=3.423, P<0.001). The intelligent monitoring system enabled module positioning monitoring, sample turn-around time reminder, instrument load rate monitoring, remaining reagent monitoring, and patient-based real-time quality control, resulting in improved instrument running efficiency and result accuracy. Followed by the introduction of the automatic audit function, the overall pass rate was 28.19%(10 006/35 500), including 37.17% (7 738/20 818) for biochemical reports, 31.57% (1 251/3 963) for chemiluminescence reports, and 9.49% (1 017/10 719) for biochemical immunity reports. The laboratory TAT decreased from (207.3±6.0) min to (169.8±5.9) min ( t=4.426, P<0.001). After the implementation of the critical value monitoring system, the timely reporting rate reached 99.52% (99.32%, 99.89%). After using quality digital management, outpatient biochemical immunity process was optimized to a decrease in laboratory TAT from 222 (201, 233) min to 145 (119, 195) min ( U=0, P=0.004), while the pass rate increased from 86.88% (85.91%, 87.81%) to 96.32% (95.86%, 96.96%) ( U=0, P=0.004). Conclusion:The establishment of an intelligent laboratory can optimize workflow, significantly improve the work efficiency and accuracy of sample processing, and minimize error.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

Extensive studies have identified potential adverse effects on semen quality of obesity, based on body mass index, but the association between body fat distribution, a more relevant indicator for obesity, and semen quality remains less clear. We conducted a longitudinal study of 4304 sperm donors from the Guangdong Provincial Human Sperm Bank (Guangzhou, China) during 2017-2021. A body composition analyzer was used to measure total and local body fat percentage for each participant. Generalized estimating equations were employed to assess the association between body fat percentage and sperm count, motility, and morphology. We estimated that each 10% increase in total body fat percentage (estimated change [95% confidence interval, 95% CI]) was significantly associated with a 0.18 × 10 6 (0.09 × 10 6 -0.27 × 10 6 ) ml and 12.21 × 10 6 (4.52 × 10 6 -19.91 × 10 6 ) reduction in semen volume and total sperm count, respectively. Categorical analyses and exposure-response curves showed that the association of body fat distribution with semen volume and total sperm count was stronger at higher body fat percentages. In addition, the association still held among normal weight and overweight participants. We observed similar associations for upper limb, trunk, and lower limb body fact distributions. In conclusion, we found that a higher body fat distribution was significantly associated with lower semen quality (especially semen volume) even in men with a normal weight. These findings provide useful clues in exploring body fat as a risk factor for semen quality decline and add to evidence for improving semen quality for those who are expected to conceive.
Humans ; Male ; Adult ; Semen Analysis ; China ; Body Fat Distribution ; Longitudinal Studies ; Sperm Count ; Sperm Motility ; Body Mass Index ; Tissue Donors ; Obesity/complications* ; Spermatozoa ; Young Adult ; Middle Aged ; East Asian People

Objective To explore the effects of pretreatment with rehmannia glutinosa polysaccharide(RGP)and basic fibroblast growth factor(FGF-2)alone or in combination on the differentiation of bone marrow mesenchymal stem cells(BMSCs)into cardiomyoid cells and the related mechanisms.Methods BMSCs pretreated with FGF-2 and RGP alone or in combination were cultured for 1,2,and 4 weeks.The expression levels of NKx2.5 and GATA-4 were detected by Real-time PCR.BMSCs pretreated with FGF-2 or RGP alone and PI3K/Akt signaling pathway inhibitor LY294002 were used to detect the expression levels of myocardial specific proteins and related pathway proteins by Western blotting.Results Compared with the blank control group,pretreatment with FGF-2 or RGP alone increased the expression rate of myocardial specific markers,and the effect of combined pretreatment with FGF-2 and RGP was more obvious(P＜0.05).Compared with pretreatment with FGF-2 or RGP alone,pretreatment with LY294002 combined with FGF-2 or RGP significantly down-regulated the expression of cardiac-specific proteins in BMSCs and inhibited the phosphorylation of Akt(P＜0.05).Conclusion Both FGF-2 and RGP can induce BMSCs to differentiate into cardiomyocyte-like cells by regulating PI3K/Akt signaling pathway,and the combination of FGF-2 and RGP has a better inductive effect.

Metabolites produced as intermediaries or end-products of microbial metabolism provide crucial signals for health and diseases, such as metabolic dysfunction-associated steatotic liver disease (MASLD). These metabolites include products of the bacterial metabolism of dietary substrates, modification of host molecules (such as bile acids [BAs], trimethylamine-N-oxide, and short-chain fatty acids), or products directly derived from bacteria. Recent studies have provided new insights into the association between MASLD and the risk of developing chronic kidney disease (CKD). Furthermore, alterations in microbiota composition and metabolite profiles, notably altered BAs, have been described in studies investigating the association between MASLD and the risk of CKD. This narrative review discusses alterations of specific classes of metabolites, BAs, fructose, vitamin D, and microbiota composition that may be implicated in the link between MASLD and CKD.

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.