Objective To analyze the characteristics of viral hepatitis mortality and life loss among residents in Pudong New Area from 2003 to 2023, and to provide a basis for related prevention and control work. Methods Viral hepatitis mortality data were obtained from the Pudong New Area mortality monitoring system. The crude mortality rate (CMR), standardized mortality rate (SMR), potential years of life lost (PYLL), average years of life lost (AYLL), and standardized potential years of life lost (SPYLL) were calculated to analyze viral hepatitis deaths. The average annual change (AAPC) and annual percentage change (APC) of the mortality rate were calculated by Joinpoint regression analysis to analyze the trend of mortality. Results The CMR and SMR of viral hepatitis among residents in Pudong New Area from 2003 to 2023 were 3.89/100000 and 1.98/100000, respectively. Both CMR and SMR of viral hepatitis showed a decreasing trend over time (CMR:APC=-5.476, t=-13.581, P<0.001; SMR:APC=- 7.624, t= -21.253, P<0.001). The CMR for males was 4.75/100000 and the SMR for males was 2.65/100000; the CMR for females was 3.04/100000 and the SMR for females was 1.32/100000, with a higher mortality rate for males than for females（Z_CME=12.094，P<0.001; Z_SMR=-14.718，P<0.001). Deaths were concentrated in the age groups of 45-64 years old and 65 years old and above, accounting for 91.62% of the total deaths. The PYLL of deaths due to viral hepatitis among residents in Pudong New Area from 2003 to 2023 was 26912 person-years, with a PYLLR of 0.45% and an AYLL of 8.88 years per person. Conclusion The mortality rate of viral hepatitis among the residents of Pudong New Area in 2003-2023 shows a decreasing trend over time. The mortality rate of males is higher than that of females, and the deaths of middle-aged and elderly people account for a large proportion of the total deaths. Chronic hepatitis B is the main cause of death.

Objective: To report severe hemolytic adverse reactions caused by intravenous infusion of human immunoglobulin (IVIG) in a child, and to alert clinical staff to be aware of IVIG-associated hemolytic reactions to ensure transfusion safety in pediatric populations. Methods: A retrospective analysis was conducted on a case of severe hemolytic reaction following high-dose IVIG infusion in a pediatric patient with severe pneumonia. Results: Following high-dose IVIG infusion, severe hemolytic adverse reactions developed, clinically manifesting as decreased hemoglobin, progressively elevated bilirubin and lactate dehydrogenase (LDH), and gradual hepatomegaly. IgG antibodies were detected in the patient's erythrocytes and plasma. Conclusion: When patients passively acquire IgG antibodies through IVIG infusion, timely monitoring of antibody titers in vivo is critical. For subsequent transfusions, red blood cell products that lack the corresponding antigens should be selected to mitigate hemolysis. Clinicians should remain vigilant against rare but severe hemolytic adverse reactions.

Background The crude mortality rate of sudden death has shown a steady upward trend. Pudong New Area, Shanghai, is a highly urbanized and densely populated district that is substantially affected by the urban heat island effect and has experienced frequent extreme temperature events in recent years. However, evidence on the association between ambient temperatures and sudden death among local residents remains limited. Objective To examine the association between daily mean temperature and sudden death in Pudong New Area, and to provide evidence for reducing temperature-related risks of sudden death. Methods Data on sudden death, meteorological factors (daily average temperature, daily average relative humidity, and daily average air pressure), and air pollutants [inhalable particulate matter (PM₁₀), sulfur dioxide (SO₂), and nitrogen dioxide (NO₂)] in Pudong New Area from 2016 to 2021 were collected. A distributed lag non-linear model was used to examine the associations of daily mean temperature with total sudden death and sudden death due to cardiovascular and cerebrovascular diseases, including lagged and cumulative effects (lag0, 0-3, 0-7, 0-14, and 0-21 d). Stratified analyses were performed by sex, age, and education level to identify vulnerable populations. The temperature attributable burden of sudden death was assessed by calculating attributable number (AN) and attribute fraction (AF). Results A total of 19458 sudden deaths were reported in Pudong New Area from 2016 to 2021, of which 11082 (56.95%) were due to cardiovascular and cerebrovascular diseases. Both low (P₅, 4.6 ℃) and high (P₉₅, 30.2 ℃) temperatures were associated with increased risks of sudden death. The cumulative risks associated with low temperature peaked at lag 0-21 d for both total sudden death and sudden death due to cardiovascular and cerebrovascular diseases. In contrast, the cumulative risks associated with high temperature peaked at lag 0-7 d for total sudden death and at lag 0-3 d for sudden death due to cardiovascular and cerebrovascular diseases. Stratified analyses showed that females, individuals aged ≥65 years, and those with primary school education or below were more sensitive to low temperature; whereas females, individuals aged <65 years, and those with secondary school education or above were more sensitive to high temperature. Using 21.5 ℃ as the minimum mortality temperature, the AN of total sudden deaths attributable to non-optimal temperature was 3791 (95%CI: 1853, 5587), with an AF of 20.41% (95%CI: 9.47%, 28.94%); the AN attributable to low temperature was 3358 (95%CI: 1087, 5062), with an AF of 17.26% (95%CI: 5.89%, 26.01%), whereas the AN attributable to high temperature was 225 (95%CI: −274, 655), with an AF of 2.03% (95%CI: −2.53%, 5.78%). For sudden deaths due to cardiovascular and cerebrovascular diseases, the AN attributable to non-optimal temperature was 2721 (95%CI: 1747, 5575), with an AF of 24.55% (95%CI: 9.59%, 28.65%); the AN attributable to low temperature was 2496 (95%CI: 988, 3562), with an AF of 22.53% (95%CI: 8.97%, 32.41%), whereas the AN attributable to high temperature was 614 (95%CI: −15, 1176), with an AF of 3.15% (95%CI: −0.08%, 6.02%). Conclusions Both low (P₅, 4.6 ℃) and high (P₉₅, 30.2 ℃) temperatures are associated with increased risks of sudden death in Pudong New Area, Shanghai. High temperature shows a relative short-term effect, whereas low temperature shows a stronger cumulative effect. Females, people ≥65 years, and individuals with primary school educational attainment or below are more vulnerable to low temperature, while females, people <65 years, and those with secondary school educational attainment or above are more vulnerable to high temperature. The attributable burden of low temperature is greater than that of high temperature. Targeted health protection measures should be strengthened for vulnerable populations during extreme temperature events.

The circadian clock plays a critical role in regulating various physiological processes, including gene expression, metabolic regulation, immune response, and the sleep-wake cycle in living organisms. Post-translational modifications (PTMs) are crucial regulatory mechanisms to maintain the precise oscillation of the circadian clock. By modulating the stability, activity, cell localization and protein-protein interactions of core clock proteins, PTMs enable these proteins to respond dynamically to environmental and intracellular changes, thereby sustaining the periodic oscillations of the circadian clock. Different types of PTMs exert their effects through distincting molecular mechanisms, collectively ensuring the proper function of the circadian system. This review systematically summarized several major types of PTMs, including phosphorylation, acetylation, ubiquitination, SUMOylation and oxidative modification, and overviewed their roles in regulating the core clock proteins and the associated pathways, with the goals of providing a theoretical foundation for the deeper understanding of clock mechanisms and the treatment of diseases associated with circadian disruption.
Protein Processing, Post-Translational/physiology* ; Circadian Rhythm/physiology* ; Humans ; Animals ; CLOCK Proteins/physiology* ; Circadian Clocks/physiology* ; Phosphorylation ; Acetylation ; Ubiquitination ; Sumoylation

Bacillus mycoides JA20-1 was screened and identified as a biocontrol bacterium with a high capacity for producing volatile organic compounds(VOCs) in the laboratory. This strain had significant inhibitory effects on various postharvest disease pathogens in crops, such as Botrytis cinerea, as well as soil-borne disease pathogens in ginseng, such as Sclerotinia ginseng. In order to accelerate its industrialization process, in this study, single-factor experiments and response surface optimization methods were used. The fermentation medium and fermentation conditions in the shake flask of strain JA20-1 were systematically optimized by using cell production volume as the response variable. Meanwhile, the biocontrol effect of JA20-1 on B. cinerea of ginseng during the storage period was evaluated by using the method of fumigation in a dry dish in vitro. The results indicated that the optimal fermentation medium formulation for strain JA20-1 was as follows: 1% yeast paste, 1% soluble starch, 0.25% K_2HPO_4·3H_2O, and 0.2% NaCl. The optimal fermentation conditions in the shake flask were vaccination size of 3%, culture volume of 50 mL in a 250 mL Erlenmeyer flask, pH of 6.2, fermentation temperature of 34 ℃, shaking speed of 180 r·min~(-1), and incubation time of 18 hours. The bacteria count in the fermentation broth under these conditions reached 2.17 × 10~8 CFU·mL~(-1), which was 6.58 times higher than before. The average control efficacy of the fermentation broth on Botrytis cinerea of ginseng under in vitro fumigation reached 61.70% and 84.04% respectively, when 20 mL and 30 mL per dish were used. The research provided theoretical support and technical foundation for the development and utilization of Bacillus mycoides JA20-1 and the biocontrol of soil-borne diseases in ginseng and postharvest diseases in crops.
Botrytis/drug effects* ; Fermentation ; Panax/microbiology* ; Plant Diseases/prevention & control* ; Volatile Organic Compounds/metabolism* ; Bacillus/physiology* ; Pest Control, Biological/methods* ; Biological Control Agents/metabolism* ; Culture Media/chemistry*

Medical institutions, with their clinical practice foundation and abundant human use experience data, have become important carriers for the inheritance and innovation of traditional Chinese medicine(TCM) and the "cradles" of the preparation of new TCM. To effectively promote the transformation of new TCM originating from the TCM clinical practice in medical institutions and establish an effective evaluation index system for the transformation of new TCM conforming to the characteristics of TCM, consensus experts adopted the literature research, questionnaire survey, Delphi method, etc. By focusing on the policy and technical evaluation of new TCM originating from the TCM clinical practice in medical institutions, a comprehensive evaluation from the dimensions of drug safety, efficacy, feasibility, and characteristic advantages was conducted, thus forming a comprehensive evaluation system with four primary indicators and 37 secondary indicators. The expert consensus reached aims to encourage medical institutions at all levels to continuously improve the high-quality research and development and transformation of new TCM originating from the TCM clinical practice in medical institutions and targeted at clinical needs, so as to provide a decision-making basis for the preparation, selection, cultivation, and transformation of new TCM for medical institutions, improve the development efficiency of new TCM, and precisely respond to the public medication needs.
Medicine, Chinese Traditional/standards* ; Humans ; Consensus ; Drugs, Chinese Herbal/therapeutic use* ; Surveys and Questionnaires

Objective To analyze the situation of blood lipid and blood routine parameters in patients with pneumoconiosis,and construct a column chart diagnostic model to explore their diagnostic value for pneumo-coniosis.Methods A total of 456 patients with pneumoconiosis admitted to the First Affiliated Hospital of Chongqing Medical and Pharmaceutical College from January 2022 to January 2024 were selected as the pneu-moconiosis group,while 462 healthy subjects exposed to dust during the same period were chosen as the con-trol group.Serum lipids and blood routine parameters related to pneumoconiosis were measured and compared between two groups.Univariate and multivariate Logistic regression analyzes were conducted to examine ser-um lipids and blood routine parameters associated with pneumoconiosis.A risk prediction model was construc-ted using logistic regression in machine learning,and the diagnostic efficacy of the column chart diagnostic model was evaluated by calculating the C-index through receiver operating characteristic(ROC)curve and plotting the model calibration curve based on Hosmer Lemeshow goodness of fit.Decision curve analysis(DCA)was used to assess the clinical practicality of the column chart diagnostic model.Results The levels of serum high-density ester protein cholesterol(HDL-C),cholesterol(TC),red blood cell(RBC),hematocrit(HCT),hemoglobin concentration(HGB),lymphocyte number(LYM),and lymphocyte percentage(LYM％)in the pneumoconiosis group were lower than those in the control group(P＜0.05).The levels of neutrophil-lymphocyte ratio(NLR),platelet-to-lymphocyte ratio(PLR),and systemic immune inflammation index(SII)were higher than those in the control group(P＜0.05).Multivariate Logistic regression analysis showed that HDL-C,LYM％,PLR,and SII were independent influencing factors for pneumoconiosis(P＜0.05).A column chart diagnostic model for the occurrence of pneumoconiosis was constructed using HDL-C,TC,LYM％,PLR,and SII as diagnostic factors.The ROC curve C-index of the diagnostic model was 0.84(95％CI:0.81-0.86),with sensitivity for diagnosing pneumoconiosis of 75.29％,specificity of 77.51％,posi-tive predictive value of 83.25％,and negative predictive value of 67.88％.Internal validation was conducted on the constructed column chart diagnostic model,with a validation set ROC curve C-index of 0.84(95％CI:0.80-0.87),sensitivity of 80.91％,specificity of 72.62％,positive diagnostic value of 79.46％,and negative diagnostic value of 74.39％.The calibration positive curve slope of the diagnostic model was close to 1,and in the fit test P＞0.05.DCA analysis showed that the diagnostic model had clinical practical value for risk diag-nosis of pneumoconiosis.Conclusion HDL-C,TC,LYM％,PLR and SII are independent influencing factors for pneumoconiosis.A column chart diagnostic model for the occurrence of pneumoconiosis is successfully constructed based on machine learning principles,and it has been verified to have high diagnostic efficiency.

Objective:To analyze the blood-transition prototype components and metabolites of Fengliaoxing Fengshi Dieda medicinal liquor.Methods:Ultra-high performance liquid chromatographyquadrupole/electrostatic field orbital trap high resolution mass spectrometry (UHPLC-Q Exactive Focus MS/MS) technique was used to compare the chromatogram differences of Fengliaoxing Fengshi Dieda medicinal liquor extract, blank serum and drug-containing serum. According to the retention time, relative molecular weight and the ratio with primary and secondary ion fragments provided by MS, the prototype components and metabolites of Fengliaoxing Fengshi Dieda medicinal liquor extract were analyzed in serum of rats after oral administration. The detection conditions were as follows: the mobile phase of methanol (A)-0.1% formic acid solution (B) for elution gradient (0-5 min, 5%A; 5-60 min, 5%-95%A; 60-65 min, 95%A), the flow rate of 0.3 ml/min, heated electrospray ionization, detection range of m/z 80-1 200, positive and negative ion scanning modes.Results:A total of 31 transitional components were detected in the serum, of which 9 were prototype components and 22 were metabolites. The 9 prototype components were identified as phenylacetaldehyde, baogongteng C/ erycibellin, p-coumaric acid, 5-Hydroxymethylfurfural, quinic acid, paeonol, 3-Hydroxybenzaldehyde, salicylic acid, and isourecumenol. The 22 metabolites mainly consist of 11 organic acid components, 3 indole components, 2 organic phenolic components, 2 alkaloid components, 1 nucleoside component, 1 amino acid component, 1 lactone component, and 1 sulfonic component. The metabolic pathways were mainly glucuronidation, sulfation and others, which by phase Ⅱ metabolism.Conclusion:Organic phenols and organic acids are the main components that enter the body of Fengliaoxing Fengshi Dieda Medicinal Liquor, while alkaloid compounds and organic acid components may be potential active ingredients for its pharmacological effects.

Objective:To predict the therapeutic targets and potential mechanism of Yi medicine Tiaojing Yangyan Capsules in treating primary dysmenorrhea, menstrual disorders and oligomenorrhea using UPLC-Q-TOF-MS combined with network pharmacology.Methods:Using UPLC-Q-TOF-MS method, the chemical components in Tiaojing Yangyan Capsules were identified through automatic matching and retrieval from Waters UNIFI Chinese Materia Medica Database based on chromatographic peak retention time, precise relative molecular weight, characteristic fragment ions, and other information. TCMSP and SwissTarget Prediction databases were used to obtain chemical component targets, constructing a "drug-active component-target-disease" visual regulatory network and PPI network through databases such as GeneCards, DrugBank, TTD, PharmGKB, and Cytoscape 3.8.0 software. Metascape database was used to perform GO functional and KEGG pathway enrichment analysis on intersecting targets, and the potential mechanism of Tiaojing Yangyan Capsules in the treatment of primary dysmenorrhea was predicted.Results:Totally 67 components components were analyzed and identified from the Tiaojing Yangyan Capsules, which acted on 350 targets related to primary dysmenorrhea and menstrual disorders. The 15 main active components, including Ginsenoside Rg1, Ginsenoside Re, and Notoginsenoside Fe, targeted key proteins such as TNF, HSP90AA1, and STAT3, which would treat primary dysmenorrhea by regulating pathways such as the PI3K-Akt, FoxO, and Calcium.Conclusion:Tiaojing Yangyan Capsules may alleviate inflammatory reactions, alter hormone levels, regulate ovarian function, promote blood circulation, remove blood stasis, and regulate qi and blood through multiple components, targets, and pathways, thereby playing a preventive and therapeutic role in primary dysmenorrhea, menstrual disorders, and other conditions.

The tumor microenvironment (TME) is the cellular milieu in which tumor cells thrive, comprising interacting cells and associated factors that form a complex network of interactions, directly or indirectly influencing the initiation, progression, and metastasis of lung cancer. Through TCM pattern identification, it has been observed thatphlegm-pathogen is closely associated with disorder in the inflammatory-metabolic-immune microenvironments of lung cancer. This involves three key pathological mechanisms: "phlegm-stasis complicated by toxin, qi deficiency with exuberant phlegm, and phlegm-pathogen impairing healthy qi". Molecular mechanism studies have revealed that phlegm-resolving agents can extensively modulate multiple targets or pathways, thereby remodeling the inflammatory-metabolic-immune microenvironments of lung cancer. Consequently, a comprehensive therapeutic strategy integrating "resolving phlegm, dispelling stasis, and detoxifying; supplementing qi, warming yang, and resolving phlegm; and reinforcing healthy qi, tonifying the lung, and eliminating phlegm" is essential to reshape the lung cancer TME and enhance antitumor efficacy.