Childhood simple obesity has become a significant public health issue in China. Modern medicine primarily relies on lifestyle interventions and often suffers from poor long-term compliance， while pharmacological options are limited and associated with potential adverse effects. Traditional Chinese Medicine （TCM） has a long history in the prevention and management of this condition， demonstrating eight distinct advantages， including systematic theoretical foundation， diversified therapeutic approaches， definite therapeutic efficacy， high safety profile， good patient compliance， comprehensive intervention strategies， emphasis on prevention， and stepwise treatment protocols. Additionally， TCM is characterized by six distinctive features： the use of natural medicinal substances， non-invasive external therapies， integration of medicinal dietetics， simple exercise regimens， precise syndrome differentiation， and diverse dosage forms. By combining internal and external treatments， TCM facilitates individualized regimen adjustment and holistic regulation， demonstrating remarkable effects in improving obesity-related metabolic indicators， regulating constitutional imbalance， and promoting healthy behaviors. However， challenges remain， such as inconsistent operational standards， insufficient high-quality clinical evidence， and a gap between basic research and clinical application. Future efforts should focus on accelerating the standardization of TCM diagnosis and treatment， conducting multicenter randomized controlled trials， and fostering interdisciplinary integration， so as to enhance the scientific validity and international recognition of TCM in the prevention and treatment of childhood obesity.

Hepatic fibrosis refers to excessive accumulation and abnormal proliferation of fibrous connective tissue in the liver triggered by multiple pathogenic factors， and it may progress to liver cirrhosis， portal hypertension， and liver cancer. The pathological mechanisms of hepatic fibrosis involve hepatocyte injury， inflammatory cell infiltration with the release of inflammatory mediators， hepatic stellate cell activation， and extracellular matrix deposition. Recent studies have focused on mitochondrial dysfunction in disease progression， including the molecular pathways for hepatic fibrosis driven by metabolic disorders， energy deficiency， oxidative stress， mitochondrial dynamic imbalance， and autophagic dysfunction， all of which can induce liver injury. This article reviews the latest advances in hepatic fibrosis， in order to provide new therapeutic strategies for clinical management.

Objective To establish a HPLC method for determining thimerosal compounds in eye drops. Methods A gradient HPLC system was used in the quantitative analysis of thimerosal compounds on Shiseido MGII C₁₈ column （4.6 mm×250 mm，5 μm）, using 1% triethylamine solution （pH adjusted to 3.0 with phosphate） as mobile phase A, the methanol as mobile phase B, gradient elution, The column temperature was 40 ℃, the detection wavelength was 222 nm, the flow rate was 1 ml/min and the injection volume was 20 µl. Results The established method had good linearity within the concentration range of 4.3-216.7 μg/ml （r>0.999） for thimerosal, with average recoveries was 102.1%, RSD2.7%. Conclusion This method was simple, accurate and highly specific, and could be used for determination of thimerosal compound in eye drops.

To address the current issue of low performance in predicting the binding affinity between antigenic peptides and specific MHC class II molecules, which fails to meet clinical requirements, we proposed T5MHCII, a deep learning-based prediction model for the affinity of MHC II class molecules to peptides. The model employed the knowledge previously acquired from the protein language model ProtT5 to extract the amino acid sequences via a transfer learning approach, thereby generating high-quality characterizations. This knowledge was then integrated with the robust learning abilities of deep learning to develop a novel model with enhanced predictive capabilities. The results of the five-fold cross-validation demonstrated that the model exhibited superior performance compared to NetMHCIIpan-3.2, PUFFIN, DeepMHCII, and RPEMH, with an AUC of 0.893±0.003 and a PCC of 0.780±0.006. The leave-one-out cross-validation (LOOCV) further demonstrated that the model exhibited enhanced generalization capabilities. This study proposes a novel approach to enhance the precision of peptide-MHCII prediction in the context of limited data affinity through the application of deep learning techniques.

OBJECTIVE To optimize the prescription pre-review system in our hospital and evaluate its application effects. METHODS Aiming at the problems of imperfect rule base and high false positive rate in the early operation of the system， optimization measures were taken， including improving the content of the rule base， adjusting the interception level and prompt mode， refining the working model of prescription review pharmacists， and strengthening clinical communication. A retrospective cohort study was conducted， with prescription data from June to December 2023 （before optimization） as the control group and June to December 2024 （after optimization） as the observation group. Through inter group comparative analysis， the actual effect of optimizing the prescription pre-approval system was evaluated. RESULTS The prescription qualified rate increased from （82.51± 4.04）% before optimization to （90.98±1.55）% after optimization； the false positive rate decreased from （20.87±1.64）% before optimization to （7.41±2.04）% after optimization. The monthly range of prescription qualified rate narrowed from 10.24% to 4.11%， and the coefficient of variation decreased from 4.92% to 1.73%. The monthly range of false positive rate slightly increased from 4.40% to 5.34%， the coefficient of variation rose from 8.32% to 26.18%. CONCLUSIONS Through multi-dimensional optimizations of the prescription pre-review system in our hospital， its prescription review efficiency has been significantly enhanced， the quality of prescriptions has steadily improved， and the accuracy of reviews has notably improved.

Objective To investigate the basic situation of nuclear medicine diagnostic and treatment institutions in Shanghai, understand the development level and distribution characteristics of nuclear medicine in Shanghai, and assess the current status of nuclear medicine development in Shanghai. Methods Using questionnaires, on-site verification, and retrieval of information system records, a survey was carried out on nuclear medicine department staff, equipment, and personal radiation exposure levels of workers in Shanghai. Results As of December 2023, there were 48 nuclear medicine diagnostic and treatment institutions in Shanghai, including 32 (66.7%) tertiary hospitals. Of these, 24 (50%) hospitals performed ¹³¹I therapy, and 9 (18.8%) hospitals conducted ¹³¹I treatment for thyroid cancer. There were 681 nuclear medicine radiation workers, with an average annual effective dose from external radiation of 0.54 mSv. There were 137 pieces of nuclear medicine equipment, including 56 SPECT/CT, 42 PET/CT, 8 PET/MRI, 25 thyroid function meters, and 6 cyclotrons. In 2023, the total radioactivity of radionuclides used in Shanghai was 1.2 × 10⁸ MBq, with 3.4 × 10⁷ MBq of ¹⁸F, 7.4 × 10⁷ MBq of ^99mTc, and 1.2 × 10⁷ MBq of ¹³¹I. The total annual number of nuclear medicine diagnostic and treatment procedures performed was 247 826 and the application frequency was 10.0 procedures per thousand population. Conclusion Clinical nuclear medicine in Shanghai has developed rapidly, achieving the Level I healthcare standard as defined in the UNSCEAR 2008 report. Enhancing occupational protection for radiation workers is a critical issue that requires particular attention in the next phase of development.

Thyroid cancer is caused by multiple factors, including genetics, environment, metabolism, and the immune microenvironment, among which ionizing radiation exposure is an important risk factor for thyroid cancer. As one of the most sensitive target organs of ionizing radiation, the thyroid gland may have different risks of thyroid cancer caused by different types of ionizing radiation exposures, such as medical exposure, occupational exposure, and emergency exposure. The sensitivity of children and adolescents are higher than that of adults. The dose-response relationship still needs to be further explored. The molecular mechanism between ionizing radiation and the increased risk of thyroid cancer is complex, which may involve DNA damage and repair abnormalities, gene mutations, non-coding RNA regulation, DNA methylation, cell cycle regulation imbalance, and immune microenvironment changes. This article reviews the risk and molecular mechanisms associated with different types of ionizing radiation exposure in thyroid cancer, based on literature retrieved from CNKI and PubMed databases. It aims to provide a theoretical basis for the early monitoring, prevention, and intervention of thyroid cancer related to ionizing radiation exposure.

OBJECTIVE: To observe the clinical effect of acupuncture-moxibustion therapy of Daoqi Tongluo (conducting qi and unblocking collateral) on chronic primary tinnitus. METHODS: A total of 32 patients with chronic primary tinnitus were included and treated with the acupuncture-moxibustion therapy of Daoqi Tongluo. This regimen was composed of abdominal acupuncture, body acupuncture, warm needling and posterior-auricular local flashing cupping, Zhongwan (CV12), Guanyuan (CV6) and Yindu (KI9), Tinggong (SI19), Cong'er point, Waiguan (TE5) of the affected side, etc. are selected. The treatment was given once every two days, 3 treatments a week; and one course of intervention was required, with 10 treatments included. Before and after treatment, the scores of tinnitus handicap inventory (THI), tinnitus evaluation questionnaire (TEQ), self-rating scale of sleep (SRSS), self-rating anxiety scale (SAS), and self-rating depression scale (SDS) were observed, and the clinical effect was evaluated. RESULTS: After interventions, the scores of THI, TEQ, SRSS, SAS and SDS were reduced in comparison with those before interventions in the patients (P<0.001, P<0.01, P<0.05), and the total effective rate was 71.9% (23/32). CONCLUSION Acupuncture-moxibustion therapy of Daoqi Tongluo is effective on chronic primary tinnitus and this therapy can alleviate tinnitus degree, improve sleep quality and attenuate the anxious and depressive emotion of the patients.
Adult ; Aged ; Female ; Humans ; Male ; Middle Aged ; Young Adult ; Acupuncture Points ; Acupuncture Therapy ; Chronic Disease/therapy* ; Moxibustion ; Tinnitus/psychology* ; Treatment Outcome

This study explores the diagnosis and treatment of needle knife therapy for ankylosing spondylitis (AS) at middle and advanced stage based on the theory of meridian tendons, from a holistic perspective and syndrome differentiation. The treatment strategy includes "harmonizing yin and yang" to address root causes and "tendons-based release" to harmonize qi and blood, with the "tendons nodule points" as the core acupoint selection criterion. Based on this approach, the study systematically elaborates on two needle knife methods for AS: "governor vessel bone-piercing technique" and "below-the-umbilicus release technique", covering indications, acupoint location, and procedures. Clinical case examples are provided to enrich needle knife therapy guided by the theory of meridian tendons, offering insights for clinical and research work on AS.
Humans ; Acupuncture Points ; Acupuncture Therapy/methods* ; Meridians ; Spondylitis, Ankylosing/physiopathology* ; Tendons/physiopathology*

Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.