Human milk research aims to elucidate the critical value of human mild across biological, physiological, nutritional, and sociological domains. This review synthesized the cutting-edge advances and distills ten core findings: (1) Evolutionary traits: Core components of human milk are highly conservative, providing foundational immune protection while exhibiting regional variations that support precision nutrition. (2) Critical window: The first six months after birth represent an irreversible period for breastfeeding, influencing long-term maternal and infant health. (3) Reciprocal health benefits: Breastfeeding reduces risks of infants' infections and diarrhea while improving their Intelligence Quotient; prolonged lactation lowers maternal risks of breast cancer and postpartum depression. (4) Dynamic nutrient supply: Composition adapts to infant needs, with preterm milk containing more immune factors. (5) Biological complexity: Over 3 000 bioactive components and microorganisms confer functionalities that artificial formulas cannot replicate. (6) Chrononutrition regulation: Lactation follows circadian rhythms, aiding infant sleep-cycle establishment. (7) Optimal feeding practices: Direct breastfeeding is superior; breast pump requires standardization; and workplace milk expression necessitates temperature control and contamination prevention. (8) Maternal weight management: Normal body mass index underpins high-quality lactation; overweight/obese mothers can improve milk quality through diet and exercise. (9) Interdisciplinary frontiers: Human milk microbiota contributes to the establishment of infant gut microbiota and the behavior of breast feeding fosters maternal-infant emotional bonding through psychobiological pathways. (10) Precision nutrition paradigm: Milk composition can be adjusted to infant status, and prolonged lactation may reduce maternal cardiovascular disease risks. Based on the above information, we advocate establishing global human milk composition standards, building a family-healthcare-society support system, and advancing breastfeeding practices.

Objective:To investigate the correlation between non-Hodgkin lymphoma (NHL) and chronic hepatitis B virus (HBV) infection by using the method of two-sample bidirectional Mendelian randomization (MR) analysis.Methods:Genetic variation data for NHL came from the Finnish database (FinnGen) Consortium 2021 public genome-wide association study (GWAS) dataset including 1 088 patients with NHL and 299 952 control subjects. The GWAS dataset for chronic HBV infection was derived from GWAS analysis published in 2021, including 145 NHL patients and 351 740 control subjects. NHL was used as an exposure factor, single nucleotide polymorphism (SNP) significantly associated with NHL was used as an instrumental variable (IV), chronic HBV infection was used as an outcome variable. The two-sample MR analysis was performed by using inverse-variance weighted (IVW) method. Chronic HBV infection was taken as an exposure factor, SNP significantly associated with chronic HBV infection was taken as IV, and NHL was taken as outcome variable, and then reverse two-sample MR analysis was performed. The IVW method used the inverse variance of each IV as the weight to fit, and the ratio method was used to measure SNP one by one and make weighted regression analysis, so as to obtain the overall estimate. MR-Egger regression and the weighted median (WME) method were also used to supplement the IVW method. In sensitivity analysis, leave-one-out sensitivity analysis was used to evaluate the impact of a single SNP. Cochran Q test was used to analyze the heterogeneity of the selected IV. MR-Egger regression was used to measure the average horizontal pleiotropy of IV, and the P-value of directivity was calculated. The MR-pleiotropy residual sum and outlier (MR-PRESSO) Global Test was used to exclude possible horizontal pleiotropic outliers and reduce bias. Results:In the leave-one-out sensitivity analysis, SNP with significant effects on causal associations was excluded. In forward MR analysis, IVs were 10 SNPs associated with NHL; the IVW method indicated that there was no causal association between NHL and chronic HBV infection ( OR = 0.979, 95% CI: 0.925-1.036, P = 0.465). MR-Egger regression ( OR = 0.992, 95% CI: 0.926-1.062, P = 0.825) and WME method ( OR = 0.992, 95% CI: 0.934-1.055, P = 0.805) were used as supplementary methods to obtain the consistent results. In sensitivity analysis, Cochran Q test showed no heterogeneity among IVs (IVW method: P = 0.271, MR-Egger regression: P = 0.239). Horizontal pleiotropy was not found in the MR-Egger regression (intercept was -0.01, P = 0.778) and the MR-PRESSO Global Test ( P > 0.05), suggesting robust results. In the reverse MR analysis, IVs were 8 SNPs associated with NHL; the IVW method ( OR = 1.117, 95% CI: 0.942-1.324, P = 0.202) also found no significant causal relationship between chronic HBV infection and NHL; MR-Egger regression ( OR = 0.777, 95% CI: 0.450-1.343, P = 0.401) and WME method ( OR = 1.120, 95% CI: 0.887-1.415, P = 0.351) also showed similar risk estimates. Sensitivity analysis also suggested the consistency and reliability of the results. Cochran Q test showed no heterogeneity among IVs (IVW method: P = 0.775, MR-Egger regression: P = 0.903). Horizontal pleiotropy was not found by MR-Egger regression (intercept was 0.102, P = 0.548) and MR-PRESSO Global Test ( P > 0.05). Conclusions:MR analysis suggests no causal relationship between NHL and chronic HBV infection.

In modern society, sugary foods have become an integral part of many people′s lives. However, excessive sugar consumption has adverse effects on both overall health and oral health, serving as a contributing factor to the global increasing incidence in oral diseases, cardiovascular diseases, cancers, obesity, and diabetes. In response to the health risks related to high-sugar diets, the World Health Organization (WHO) and World Dental Federation (FDI) have proposed initiatives and recommendations, with various governments implementing different policies and strategies to reduce sugar intake. Chinese government has also taken proactive measures. The "Healthy China Action (2019-2030)" initiative introduced by the State Council in 2019 established a crucial benchmark in limiting the average daily intake of added sugar to 25 g per person forward to 2030. Experts from Chinese Center for Disease Control and Prevention and the field of oral health have meticulously examined the impacts of sugar reduction on oral health, as well as strategies, methods, and practical considerations related to reducing sugar intake through several meeting and wrote the "Expert consensus: reducing free-sugar for caries prevention", which was subsequently reviewed and revised based on the feedback from multiple stakeholders. They have conducted thorough analyses of global trends in sugar reduction and best practices to provide valuable insights to China for crafting effective policies and strategies on sugar reduction. This consensus mainly includes the classification of free sugars, the latest scientific evidence on dental caries, recommendations from WHO on sugar-sweetened beverage taxes, nutrition labeling, advertising, food reform, adjusting supply systems, education, and promotion strategies, as well as sugar reduction actions taken by various governments around the world. Combining the actual situation in China, policy recommendations and authoritative popular science knowledge on sugar reduction for caries prevention to public are proposed to advocate for experts in multiple fields to focus on sugar reduction for caries prevention, promote the work process, and provide the scientific basis for oral health educators.

Objective:To explore the association between different feeding methods during the first six months after birth and the physical growth of children aged 3 to 5 years.Methods:Data were from the "Taicang and Wuqiang mother-child cohort study"(TAWS) in China. Children were enrolled at birth between November 2016 and September 2020 and followed up at 1, 2, 3, 6, 8, 12, 18, and 24 months, as well as at ages 3 to 5 years. Based on feeding methods within six months of age, children were categorized into an "exclusive breastfeeding group" and a "formula-feeding group". Birth-related information and feeding practices between 8 and 24 months were collected, alongside dietary habits, physical activity, and illness during preschool years. Height and weight of preschool children were measured to calculate height-for-age Z-score (HAZ), weight-for-age Z-score (WAZ), body mass index-for-age Z-score (BAZ), and the rates of stunting, underweight, wasting, overweight, and obesity. After adjusting for demographic factors, birth-related information, feeding practices between 8 to 24 months, preschool dietary habits, physical activity, and health status, multiple linear regression and logistic regression were adopted to analyze the influence of feeding methods within six months of age on the physical growth of children aged 3 to 5 years.Results:A total of 1 233 children were included, comprising 629 boys and 604 girls. The number of children aged 3, 4, and 5 years was 436, 406, and 391, respectively. About 754 children were categorized into the exclusive breastfeeding group and 479 into the formula-feeding group. Children who were introduced to formula milk within six months of age had higher HAZ (0.09±0.99), WAZ (0.24±1.07) and BAZ (0.26±1.11) scores at ages 3 to 5 compared to the exclusive breastfeeding group [HAZ, WAZ, and BAZ were (-0.04±0.92), (0.06±1.02) and (0.11±1.08), respectively]. After adjusting for confounding factors, multiple linear regression analysis showed that the β (95% CI) values for HAZ, WAZ and BAZ in the formula-feeding group were 0.16 (0.06-0.25), 0.17 (0.06-0.29) and 0.15 (0.02-0.27), respectively, compared to the exclusive breastfeeding group. After adjusting for confounding factors, the results of the multivariate logistic regression model indicated that there were no statistically significant differences in the risks of stunting, underweight, wasting, overweight, and obesity during the preschool years between the exclusive breastfeeding group and the formula-feeding group, with OR (95% CI) values of 1.04 (0.41-2.62), 0.99 (0.27-3.57), 1.63 (0.53-4.95), 1.08 (0.66-1.74), and 1.58 (0.70-3.60), respectively. Conclusion:Exclusive breastfeeding within six months of age does not increase the risk of undernutrition (including stunting, underweight or wasting) during preschool years. However, the introduction of formula feeding within six months of age significantly increases the physical growth level of the preschool stage.

This article delves into the importance and urgency of improving the quality of big data on dietary nutrition and chronic diseases within the disease control system. With the continuous rise in the incidence of chronic diseases, enhancing the quality of relevant data has become crucial in addressing public health challenges. The article proposes a series of concrete measures to improve the accuracy, completeness, and usability of the data, drawing on theoretical and technical support. By strengthening data collection, management, analysis, and application, the goal is to establish a high-quality big data system for dietary nutrition and chronic diseases. This will provide solid data support and scientific evidence for formulating targeted prevention and control strategies, supporting policy development, promoting scientific research innovation, and improving public health standards.

In modern society, sugary foods have become an integral part of many people′s lives. However, excessive sugar consumption has adverse effects on both overall health and oral health, serving as a contributing factor to the global increasing incidence in oral diseases, cardiovascular diseases, cancers, obesity, and diabetes. In response to the health risks related to high-sugar diets, the World Health Organization (WHO) and World Dental Federation (FDI) have proposed initiatives and recommendations, with various governments implementing different policies and strategies to reduce sugar intake. Chinese government has also taken proactive measures. The "Healthy China Action (2019-2030)" initiative introduced by the State Council in 2019 established a crucial benchmark in limiting the average daily intake of added sugar to 25 g per person forward to 2030. Experts from Chinese Center for Disease Control and Prevention and the field of oral health have meticulously examined the impacts of sugar reduction on oral health, as well as strategies, methods, and practical considerations related to reducing sugar intake through several meeting and wrote the "Expert consensus: reducing free-sugar for caries prevention", which was subsequently reviewed and revised based on the feedback from multiple stakeholders. They have conducted thorough analyses of global trends in sugar reduction and best practices to provide valuable insights to China for crafting effective policies and strategies on sugar reduction. This consensus mainly includes the classification of free sugars, the latest scientific evidence on dental caries, recommendations from WHO on sugar-sweetened beverage taxes, nutrition labeling, advertising, food reform, adjusting supply systems, education, and promotion strategies, as well as sugar reduction actions taken by various governments around the world. Combining the actual situation in China, policy recommendations and authoritative popular science knowledge on sugar reduction for caries prevention to public are proposed to advocate for experts in multiple fields to focus on sugar reduction for caries prevention, promote the work process, and provide the scientific basis for oral health educators.

Objective:To explore the association between different feeding methods during the first six months after birth and the physical growth of children aged 3 to 5 years.Methods:Data were from the "Taicang and Wuqiang mother-child cohort study"(TAWS) in China. Children were enrolled at birth between November 2016 and September 2020 and followed up at 1, 2, 3, 6, 8, 12, 18, and 24 months, as well as at ages 3 to 5 years. Based on feeding methods within six months of age, children were categorized into an "exclusive breastfeeding group" and a "formula-feeding group". Birth-related information and feeding practices between 8 and 24 months were collected, alongside dietary habits, physical activity, and illness during preschool years. Height and weight of preschool children were measured to calculate height-for-age Z-score (HAZ), weight-for-age Z-score (WAZ), body mass index-for-age Z-score (BAZ), and the rates of stunting, underweight, wasting, overweight, and obesity. After adjusting for demographic factors, birth-related information, feeding practices between 8 to 24 months, preschool dietary habits, physical activity, and health status, multiple linear regression and logistic regression were adopted to analyze the influence of feeding methods within six months of age on the physical growth of children aged 3 to 5 years.Results:A total of 1 233 children were included, comprising 629 boys and 604 girls. The number of children aged 3, 4, and 5 years was 436, 406, and 391, respectively. About 754 children were categorized into the exclusive breastfeeding group and 479 into the formula-feeding group. Children who were introduced to formula milk within six months of age had higher HAZ (0.09±0.99), WAZ (0.24±1.07) and BAZ (0.26±1.11) scores at ages 3 to 5 compared to the exclusive breastfeeding group [HAZ, WAZ, and BAZ were (-0.04±0.92), (0.06±1.02) and (0.11±1.08), respectively]. After adjusting for confounding factors, multiple linear regression analysis showed that the β (95% CI) values for HAZ, WAZ and BAZ in the formula-feeding group were 0.16 (0.06-0.25), 0.17 (0.06-0.29) and 0.15 (0.02-0.27), respectively, compared to the exclusive breastfeeding group. After adjusting for confounding factors, the results of the multivariate logistic regression model indicated that there were no statistically significant differences in the risks of stunting, underweight, wasting, overweight, and obesity during the preschool years between the exclusive breastfeeding group and the formula-feeding group, with OR (95% CI) values of 1.04 (0.41-2.62), 0.99 (0.27-3.57), 1.63 (0.53-4.95), 1.08 (0.66-1.74), and 1.58 (0.70-3.60), respectively. Conclusion:Exclusive breastfeeding within six months of age does not increase the risk of undernutrition (including stunting, underweight or wasting) during preschool years. However, the introduction of formula feeding within six months of age significantly increases the physical growth level of the preschool stage.

This article delves into the importance and urgency of improving the quality of big data on dietary nutrition and chronic diseases within the disease control system. With the continuous rise in the incidence of chronic diseases, enhancing the quality of relevant data has become crucial in addressing public health challenges. The article proposes a series of concrete measures to improve the accuracy, completeness, and usability of the data, drawing on theoretical and technical support. By strengthening data collection, management, analysis, and application, the goal is to establish a high-quality big data system for dietary nutrition and chronic diseases. This will provide solid data support and scientific evidence for formulating targeted prevention and control strategies, supporting policy development, promoting scientific research innovation, and improving public health standards.

Human milk research aims to elucidate the critical value of human mild across biological, physiological, nutritional, and sociological domains. This review synthesized the cutting-edge advances and distills ten core findings: (1) Evolutionary traits: Core components of human milk are highly conservative, providing foundational immune protection while exhibiting regional variations that support precision nutrition. (2) Critical window: The first six months after birth represent an irreversible period for breastfeeding, influencing long-term maternal and infant health. (3) Reciprocal health benefits: Breastfeeding reduces risks of infants' infections and diarrhea while improving their Intelligence Quotient; prolonged lactation lowers maternal risks of breast cancer and postpartum depression. (4) Dynamic nutrient supply: Composition adapts to infant needs, with preterm milk containing more immune factors. (5) Biological complexity: Over 3 000 bioactive components and microorganisms confer functionalities that artificial formulas cannot replicate. (6) Chrononutrition regulation: Lactation follows circadian rhythms, aiding infant sleep-cycle establishment. (7) Optimal feeding practices: Direct breastfeeding is superior; breast pump requires standardization; and workplace milk expression necessitates temperature control and contamination prevention. (8) Maternal weight management: Normal body mass index underpins high-quality lactation; overweight/obese mothers can improve milk quality through diet and exercise. (9) Interdisciplinary frontiers: Human milk microbiota contributes to the establishment of infant gut microbiota and the behavior of breast feeding fosters maternal-infant emotional bonding through psychobiological pathways. (10) Precision nutrition paradigm: Milk composition can be adjusted to infant status, and prolonged lactation may reduce maternal cardiovascular disease risks. Based on the above information, we advocate establishing global human milk composition standards, building a family-healthcare-society support system, and advancing breastfeeding practices.

Human milk is a product of human evolution and is crucial for the early growth and development of infants as well as maternal health. This paper discusses the research and application of human milk science in China, aiming to clarify the research pathways in this field and contribute to the promotion of breastfeeding initiatives and the realization of the Healthy China 2030 goals.