1.Temporal trends in the frequency of meat, egg and milk consumption among primary and secondary school students in rural central and western China, 2015-2023
Chinese Journal of School Health 2026;47(3):332-336
Objective:
To analyze the trends of the frequency of meat, egg, and milk consumption among rural primary and junior high school students in central and western China covered by the Nutrition Improvement Program for Rural Compulsory Education Students (NIPRCES) from 2015 to 2023, so as to provide basis for formulating more targeted nutrition intervention policies and health education strategies.
Methods:
Using data from six rounds of monitoring and evaluation (2015-2021 and 2023), the study included 323 870 students from grade 3 to 9 across 22 provinces (autonomous regions and municipalities) in central and western China. The consumption frequencies of meat, egg, and milk over the past week were collected via questionnaires. The Cochran-Armitage trend test was used to analyze temporal trends, and multivariable Logistic regression models were employed to analyze factors associated with the frequency of meat, egg and milk consumption and to test for interaction effects between the year and gender, region, and grade level.
Results:
From 2015 to 2023, the proportion of students consuming meat, egg, and milk ≥1 time/day increased from 23.20 %, 10.71%, and 0.74% to 35.53%, 22.09%, and 26.63%, respectively. Trend tests indicated a significant upward trend for the daily intake of all three food categories for meat, egg and milk over the years ( Z =67.18, 64.90, 93.14, all P <0.01). Multivariable Logistic regression analysis showed that the daily meat intake was lower in the central region than in the western region ( OR=0.77, 95%CI =0.76-0.78), whereas the daily intake of eggs ( OR=1.19, 95%CI =1.17-1.22) and milk ( OR= 1.27 , 95%CI =1.24-1.29) was higher in the central region (all P <0.05). Compared with grade 3-4 students, junior high school students had lower daily intake of meat, eggs, and milk≥1 time/day ( OR =0.95, 0.77, 0.77, all P <0.05), with a declining trend as grade increased. Girls also had lower daily intake of meat, eggs, and milk ≥1 time/day than boys ( OR =0.95,0.93,0.91, all P < 0.05). Significant interactions were observed between year and region, as well as between year and grade (all P <0.05).
Conclusion
From 2015 to 2023, the NIPRCES improved the intake level of among rural students, but the situation of relatively insufficient intake of egg and milk among females, junior high school students and those in the western region still exists.
2.A nomogram model based on renal function and other readily available indicators to predict the 1-,3-,and 5-year overall survival in postoperative renal cell carcinoma patients
Hui MA ; Huiyu ZHOU ; Peipei WANG ; Zhao HOU ; Qiwei WANG ; Weibing SHUANG
Journal of Modern Urology 2026;31(2):114-120
Objective To identify renal function and other readily accessible indicators influencing the prognosis of renal cell carcinoma (RCC) patients after nephrectomy, and to construct a prognostic prediction model based on them. Methods The clinical and pathological data of 624 RCC patients undergoing radical or partial nephrectomy in the First Hospital of Shanxi Medical University during Jan. 2013 and Dec. 2021 were retrospectively analyzed. The independent prognostic factors affecting postoperative overall survival (OS) were identified with LASSO algorithm combined with Cox regression analysis. Based on these factors, a nomogram was constructed to predict the 1-, 3-, and 5-year survival rates. The performance of the model was evaluated using the concordance index (C-index), time-dependent receiver operating characteristic (ROC) curves and the area under the curve (AUC), calibration plots, and decision curve analysis (DCA). Finally, the cutoff value of the nomogram was calculated to stratify patients into risk groups. Kaplan-Meier survival analysis with log-rank testing was performed to compare outcomes between the risk groups. Results Nine independent prognostic factors were identified, including age, smoking history, diabetes mellitus history, maximum tumor diameter, tumor subtype, N stage, Fuhrman grade, preoperative serum creatinine and cystatin C (P<0.05). The nomogram achieved a C-index of 0.891, with time-dependent AUC of 0.920, 0.903, and 0.867 for 1-, 3-, and 5-year OS, respectively. Calibration curves showed excellent agreement with actual observations, and DCA demonstrated significant clinical net benefits across a wide threshold probability range. Using a cutoff score of 110.4, Kaplan-Meier analysis revealed statistically significant survival differences between risk groups (P<0.001). Conclusion The proposed nomogram, incorporating renal function and other readily accessible clinical indicators, exhibits strong predictive accuracy for postoperative survival in RCC patients and may serve as a practical tool for individualized clinical decision-making.
3.Analysis of Medication Patterns for Ancient Epidemic Treatment Based on Data Mining
Peipei JIN ; Tongxing WANG ; Liping CHANG ; Bin HOU ; Ningxin HAN ; Xiaoqi WANG ; Zhenhua JIA
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):287-294
ObjectiveExploring the formula rules of commonly used traditional Chinese medicines(TCMs) for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining, providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched, and the contents such as source, dynasty, author, diagnosis, formula name, therapeutic method and efficacy, and composition of medicines from each article that met the inclusion criteria were extracted. Then, an Excel standardized database was established, and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis, Pearson correlation analysis, and association rule analysis. ResultsA total of 1 595 formulas were included, involving 558 TCMs. The efficacy of these medicines could be classified into two categories, namely, expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis, high-frequency medicines were mainly detoxification, Fu-organ dredging, aromatization and promoting blood circulation, followed by the medicines with the effect of treating the lungs, such as clearing the lungs and resolving phlegm, clearing heat and purging the lungs, relieving cough and asthma, and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba, and the core acrid-cold herb was mainly Forsythiae Fructus, resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history, the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi", focusing on the treatment of the causes and characteristics of epidemics through detoxification, Fu-organ dredging, and aromatization, emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ, eliminate toxins and pathogens, and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness, diagnose and treatment according to syndrome differentiation was performed.
4.Analysis of Medication Patterns for Ancient Epidemic Treatment Based on Data Mining
Peipei JIN ; Tongxing WANG ; Liping CHANG ; Bin HOU ; Ningxin HAN ; Xiaoqi WANG ; Zhenhua JIA
Chinese Journal of Experimental Traditional Medical Formulae 2025;31(11):287-294
ObjectiveExploring the formula rules of commonly used traditional Chinese medicines(TCMs) for epidemic treatment from the Qin and Han dynasties to the Qing dynasty through data mining, providing reference for the prevention and control of contemporary epidemics. MethodsThe articles on epidemic treatment in the electronic database of Chinese Medical Code V5.0 were systematically searched, and the contents such as source, dynasty, author, diagnosis, formula name, therapeutic method and efficacy, and composition of medicines from each article that met the inclusion criteria were extracted. Then, an Excel standardized database was established, and Python programs were used for data mining to summarize the frequency of commonly used medicines and perform hierarchical cluster analysis, Pearson correlation analysis, and association rule analysis. ResultsA total of 1 595 formulas were included, involving 558 TCMs. The efficacy of these medicines could be classified into two categories, namely, expeling pathogenic factors and reinforcing healthy Qi. According to the frequency deconstruction analysis, high-frequency medicines were mainly detoxification, Fu-organ dredging, aromatization and promoting blood circulation, followed by the medicines with the effect of treating the lungs, such as clearing the lungs and resolving phlegm, clearing heat and purging the lungs, relieving cough and asthma, and purging the lungs and relieving asthma. And the proportions of acrid-warm herbs and acrid-cold herbs varied in different periods. Hierarchical clustering and correlation analysis both suggested TCMs for expeling pathogenic factors and reinforcing healthy Qi often formed stable combinations with high association degrees. Association rule analysis showed that the core acrid-warm herb was mainly Ephedrae Herba, and the core acrid-cold herb was mainly Forsythiae Fructus, resulting in the core formulas of Maxing Shigantang and Yinqiaosan. ConclusionThroughout history, the prevention and control of epidemics have been based on the principle of "preserving healthy Qi and avoiding toxic Qi", focusing on the treatment of the causes and characteristics of epidemics through detoxification, Fu-organ dredging, and aromatization, emphasizing the use of Rhei Radix et Rhizoma and other herbs to dredge Fu-organ, eliminate toxins and pathogens, and playing the role of actively intervene with symptomatic medication. And based on the external manifestations of the body's struggle between evil and righteousness, diagnose and treatment according to syndrome differentiation was performed.
5.Meta-analysis of the efficacy and safety of rituximab in the treatment of primary Sjögren syndrome
Jigao LI ; Ruilin LIU ; Zihua WANG ; Hejun WANG ; Peipei SU ; Quan ZHOU
China Pharmacy 2025;36(5):619-623
OBJECTIVE To evaluate the efficacy and safety of rituximab (RTX) in the treatment of primary Sjögren syndrome (pSS). METHODS Randomized controlled trials (RCTs) on the effects of RTX (trial group) versus placebo (control group) in the treatment of pSS were searched from the Cochran Library, PubMed, Embase, Medline, Web of Science, VIP, CNKI, Wanfang, and other databases during the inception to February 2024. After literature screening and quality evaluation, meta-analysis was performed by using RevMan 5.3 software. RESULTS Seven RCTs were finally included, involving a total of 518 patients. Results of meta-analysis showed that European League Against Rheumatism Sjögren syndrome disease activity index (ESSDAI) score [MD=-1.17, 95%CI(-1.52, -0.82), P<0.000 01] and oral dryness visual analogue scale (VAS) score [MD=-3.97, 95%CI (-5.08, -2.86), P<0.000 01] in the trial group were significantly lower than the control group; unstimulated salivary flow rate [SMD=0.64, 95%CI(0.41, 0.87), P<0.000 01] and Schirmer score [MD=0.19, 95%CI(0.18, 0.20), P<0.000 01] were significantly higher than the control group. There was no statistical significance in response rate [RD=0.10, 95%CI(-0.04, 0.23), P=0.16], fatigue VAS score [MD=-12.50, 95%CI(-35.14, 10.15), P=0.28], European League Against Rheumatism Sjögren syndrome patient reported index (ESSPRI) score [MD=0.33, 95%CI(-0.53, 1.18), P=0.46], Short-form 36 health survey physical component summary (SF36-PCS) score [MD=0.90, 95%CI(-2.97, 4.78), P=0.65], SF-36 mental component summary (SF36-MCS) score [MD=0.11, 95%CI(-0.41, 0.63), P=0.68], total salivary gland ultrasound score [SMD=-1.91, 95%CI(-4.01, 0.19), P=0.07] or the incidence of adverse drug reactions [OR=1.15,95%CI(0.62,2.13),P=0.66] between 2 groups. CONCLUSIONS RTX has advantages in the improvement of ESSDAI score, unstimulated salivary flow rate, Schirmer score and oral dryness VAS score in pSS patients, and has a good safety profile. However, it did not exhibit significant improvement in fatigue VAS score, ESSPRI score, SF36-PCS score, SF36-MCS score or response rates.
6.Analysis of depressive symptoms and associated factors among primary and secondary school students in the in depth monitoring counties Rural Nutrition Improvement Program
Chinese Journal of School Health 2025;46(2):219-222
Objective:
To understand the prevalence and related factors of depressive symptoms among primary and secondary school students in the in depth monitoring counties of China s Rural Compulsory Education Nutrition Improvement Program, so as to provide a basis for prevention and psychological intervention of depressive symptoms among children and adolescents in rural areas.
Methods:
In November 2022, a stratified random sampling method was adopted to collect height and weight data, basic personal and family information of 7 949 primary and secondary school students from grade three to grade nine through physical measurements and questionnaires in 56 key monitoring schools implementing the Student Nutrition Improvement Program in 7 in depth monitoring counties (Jalaid Banner in Inner Mongolia, Jinzhai County in Anhui, Mao Xian in Sichuan, Tiandeng County in Guangxi, Mian County in Shaanxi, Zhaozhou County in Heilongjiang and Youxi County in Fujian), and to obtain the information related to their depressive symptoms through the self assessment questionnaire on depression. Multivariate Logistic regression analysis was conducted to analyze the prevalence of depressive symptoms among primary and secondary school students, as well as their related factors.
Results:
The detection rate of depressive symptoms among primary and secondary school students in the in depth monitored counties was 23.5%. Logistic regression analysis showed that the probability of detecting depressive symptoms was higher among female students, middle school students, students whose video screen duration per day was >2 h, and students whose parents marital status was divorced or widowed ( OR =1.40, 1.64, 1.60, 1.24), and students whose sleep duration reached the recommended standard, whose parents usually accompanied them daily for time was 60-<120 min and ≥120 min, and students whose mothers literacy level was middle school graduation had lower probability of detecting depressive symptoms ( OR =0.85, 0.84, 0.71, 0.76) ( P < 0.05 ).
Conclusion
The detection rate of depressive symptoms among students in the in depth monitoring area is high, and targeted interventions need to be developed for students to reduce the risk of mental health problems.
7.Association of dining locations with nutritional status among Chinese children aged 6-17 years
Chinese Journal of School Health 2025;46(5):642-646
Objective:
To analyze the association of eating dining locations and their association with nutritional status among Chinese children aged 6-17 years,so as to provide reference for guiding children s reasonable diet.
Methods:
Stratified random cluster sampling was used to select children aged 6 to 17 years from 28 cities and rural areas of 14 provinces in East, North, Central, South, Southwest, Northwest, Northeast of China, and a total of 52 535 children were included in the study from 2019 to 2021. Information including dining locations, demographic characteristics, dietary intakes and physical activity were collected through a questionnaire survey. Fasting body height and weight were measured in the morning. Unordered multiclass Logistic regression analysis was conducted to assess the relationship between dining locations and nutritional status in children.
Results:
Regarding children s dining locations, 66.3% ate breakfast at home,25.8% ate breakfast at school,7.9% ate breakfast outside (small dining tables, restaurants, stalls, etc.); 67.7% ate dinner at home,29.0% ate dinner at school,3.3% ate dinner outside; and 63.6% ate lunch at school,30.8% ate lunch at home,5.7% ate lunch outside. The prevalence rates of overweight/obesity and undernutrition were 28.6% and 9.3%, respectively. The adjusted multiclass Logistic regression analysis (controlling for age, region, parental education, household income, total energy intake, and moderate-to-vigorous physical activity) demonstrated that, compared to eating at home, school based breakfast and dinner consumption was associated with significantly lower overweight/obesity risks for both genders (boys: breakfast OR =0.70, 95% CI =0.65-0.75; dinner OR =0.80, 95% CI = 0.74- 0.86; girls: breakfast OR = 0.89 , 95% CI = 0.82-0.96; dinner OR =0.88, 95% CI =0.81-0.95), whereas eating lunch away from home significantly increased overweight/obesity risks (boys: OR =1.32, 95% CI =1.17-1.48; girls: OR =1.43, 95% CI =1.26- 1.62 ), with all associations being statistically significant ( P <0.05). After adjusting for confounding factors, boys who ate breakfast away from home showed a significantly reduced risk of undernutrition ( OR =0.80,95% CI =0.66-0.97), while those consuming lunch away from home had an increased risk ( OR =1.26, 95% CI =1.01-1.57) ( P <0.05).
Conclusions
The choice of dining locations for children is becoming more diverse, and a relatively high proportion of children eat meals outside the home and at school. Eating out have a higher risk of malnutrition for children. School feeding may be beneficial to children s physical health.
8.Development of a smartphone-integrated handheld automated biochemical analyzer for point-of-care testing of urinary albumin
Ze WU ; Peng ZHANG ; Wei XIAO ; Qian CHEN ; Wangrun LIN ; Peipei CHEN ; Kangwei CHEN ; Qiangqiang FU ; Zhijian WANG ; Lei ZHENG
Journal of Pharmaceutical Analysis 2025;15(3):577-584
The level of urinary albumin is a critical indicator for the early diagnosis and management of chronic kidney disease(CKD).However,existing methods for detecting albumin are not conducive to point-of-care testing due to the complexity of reagent addition and incubation processes.This study presents a smartphone-integrated handheld automated biochemical analyzer(sHABA)designed for point-of-care testing of urinary albumin.The sHABA features a pre-loaded,disposable reagent cassette with re-agents for the albumin assay arranged in the order of their addition within a hose.The smartphone-integrated analyzer can drive the reagents following a preset program,to enable automatic sequential addition.The sHABA has a detection limit for albumin of 5.9 mg/L and a linear detection range from 7 to 450 mg/L.The consistency of albumin level detection in 931 urine samples using sHABA with clinical tests indicates good sensitivity(95.78%)and specificity(90.16%).This research advances the field by providing an automated detection method for albumin in a portable device,allowing even untrained individuals to monitor CKD in real time at the patient's bedside.In the context of promoting tiered diagnosis and treatment,the sHABA has the potential to become an essential tool for the early diagnosis and comprehensive management of CKD and other chronic conditions.
9.New applications of clioquinol in the treatment of inflammation disease by directly targeting arginine 335 of NLRP3
Peipei CHEN ; Yunshu WANG ; Huaiping TANG ; Chao ZHOU ; Zhuo LIU ; Shenghan GAO ; Tingting WANG ; Yun XU ; Sen-Lin JI
Journal of Pharmaceutical Analysis 2025;15(1):151-171
The NOD-like receptor protein 3(NLRP3)inflammasome is essential in innate immune-mediated inflammation,with its overactivation implicated in various autoinflammatory,metabolic,and neurode-generative diseases.Pharmacological inhibition of NLRP3 offers a promising treatment strategy for in-flammatory conditions,although no medications targeting the NLRP3 inflammasome are currently available.This study demonstrates that clioquinol(CQ),a clinical drug with chelating properties,effec-tively inhibits NLRP3 activation,resulting in reduced cytokine secretion and cell pyroptosis in both human and mouse macrophages,with a half maximal inhibitory concentration(IC50)of 0.478 μM.Additionally,CQ mitigates experimental acute peritonitis,gouty arthritis,sepsis,and colitis by lowering serum levels of interleukin-1β(IL-1β),IL-6,and tumor necrosis factor-α(TNF-α).Mechanistically,CQ covalently binds to Arginine 335(R335)in the NACHT domain,inhibiting NLRP3 inflammasome assembly and blocking the interaction between NLRP3 and its component protein.Collectively,this study identifies CQ as an effective natural NLRP3 inhibitor and a potential therapeutic agent for NLRP3-driven diseases.
10.Effects of lncRNA DHRS4-AS1 on proliferation, invasion, migration, and apoptosis of thyroid cancer cells by regulating the miR-221-3p/SOCS3 signaling axis.
Hui WANG ; Yu GUO ; Peipei ZHANG ; Haoyu YANG ; Chuntao TIAN ; Mingming JIN
Chinese Journal of Cellular and Molecular Immunology 2025;41(9):798-805
Objective To explore the influences of long-chain noncoding RNA DHRS4-AS1 (lncRNA DHRS4-AS1) on the proliferation, invasion, migration, and apoptosis of thyroid cancer (TC) cells by regulating the microRNA-221-3p (miR-221-3p)/suppressor of cytokine signaling 3 (SOCS3) signaling axis. Methods Quantitative real-time PCR (qRT-PCR) was applied to detect the expression of lncRNA DHRS4-AS1, miR-221-3p, and SOCS3 mRNA in TC cell lines, and the optimal cell line was selected for subsequent experiments. FTC-133 cells were divided into five groups: control group, pcDNA-NC group, DHRS4-AS1 group, DHRS4-AS1 combined with agomir NC group, and DHRS4-AS1 combined with miR-221-3p-agomir group. Transfection efficiency was assessed using qRT-PCR. Dual luciferase reporter assays were applied to verify the targeting interaction between lncRNA DHRS4-AS1, SOCS3, and miR-221-3p. Western blot analysis was used to detect the expression of SOCS3 in FTC-133 cells. EdU method was used to measure cell proliferation. Flow cytometry was applied to measure the apoptosis of FTC-133 cells. Scratch experiment was applied to measure the migration of FTC-133 cells. Transwell chamber was applied to detect the invasion of FTC-133 cells. Nude mouse transplantation tumor experiment was used to observe the effect of lncRNA DHRS4-AS1 on the growth of TC transplantation tumors. Results Dual luciferase reporter assays showed a targeting relationship between lncRNA DHRS4-AS1, miR-221-3p, and SOCS3. LncRNA DHRS4-AS1 and SOCS3 were downregulated and miR-221-3p was upregulated in FTC-133 cells. Overexpression of lncRNA DHRS4-AS1 inhibited proliferation, migration, and invasion of FTC-133 cells, while inducing apoptosis. Conversely, miR-221-3p overexpression reversed these inhibitory effects, and suppressed the apoptosis. Nude mouse transplantation experiment observed that overexpression of lncRNA DHRS4-AS1 resulted in a decrease in tumor tissue quality and volume, and a decrease in miR-221-3p expression and an increase in SOCS3 expression. Conclusion LncRNA DHRS4-AS1 is downregulated in FTC-133 cells. Overexpression of lncRNA DHRS4-AS1 can inhibit the proliferation, invasion, and migration of TC cells and induce apoptosis by regulating the miR-221-3p/SOCS3 signaling axis.
MicroRNAs/metabolism*
;
Suppressor of Cytokine Signaling 3 Protein/metabolism*
;
Humans
;
RNA, Long Noncoding/metabolism*
;
Apoptosis/genetics*
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Cell Proliferation/genetics*
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Cell Movement/genetics*
;
Thyroid Neoplasms/physiopathology*
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Animals
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Signal Transduction/genetics*
;
Cell Line, Tumor
;
Mice, Nude
;
Neoplasm Invasiveness
;
Gene Expression Regulation, Neoplastic
;
Mice
;
Mice, Inbred BALB C


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