Cancer-related fatigue(CRF)is a commonly-seen clinical disease,which seriously affects patients'quality of life and recovery of body functions.Five zang-organs are responsible for the onset and progress of CRF,and the basic pathogenesis is deficiency of visceral functions as well as disharmony of qi-blood and yin-yang.Treatment should be mainly concentrated on regulating qi-blood and harmonizing yin-yang,therapy focusing on regulating visceras such as heart,liver,spleen,kidney.Tongyuan acupuncture identification of conception vessel(CV)and governor vessel(GV)being general principles,unblocking GV and nourishing the mind thus harmonizing the visceras,conducting qi back to its source so as to balance of yin and yang,and ultimately achieve the efficacy of"harmony of visceras,relative equilibrium of yin-yang,and free of fatigue".Clinical acupoint selection addressed importance to the GV,as well as back-shu point.Selection of the CV,keep the abdominal front-mu point,highlighting the main theme of yin-yang harmonization,along with acupuncture on the specific acupoints of extremities to regulate the qi-blood of visceras,to balance the cold-heat and deficiency-excess.Professor Huang Yong has accumulated certain clinical experiences in Tongyuan acupuncture for the treatment of CRF,such experiences being summarized as follows for clinical reference and consideration.

Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

Purpose: Human epidermal growth factor receptor 2 (HER2)-low breast cancer has the potential to emerge as a distinct subtype. Several studies have compared the differences between HER2-low and HER2-0 breast cancers, but no consensus has been reached.Additionally, a biomarker to predict pathological complete response (pCR) rates in patients with HER2-low breast cancer remains to be identified. Methods: We collected data from 777 patients across three centers, stratifying them into HER2-low and HER2-0 groups. We compared differences in survival and pCR rates between the two groups and investigated potential biomarkers that could reliably predict pCR. Results: The study found that patients with HER2-0 breast cancer had higher pCR rates compared to patients with HER2-low tumors (289 patients [30.1%] vs. 475 patients [18.1%], p < 0.0001). Survival analysis showed no significant advantage for HER2-low tumors over HER2-0 breast cancers. Binary logistic analysis revealed that androgen receptor (AR) expression predicts poorer pCR rates in both the overall patient group and the HER2-0 breast cancer group (overall patients: odds ratio [OR], 0.479; 95% confidence interval [CI], 0.250–0.917; p = 0.026 and HER2-0 patients: OR, 0.267; 95% CI, 0.080–0.892; p = 0.032). In contrast, programmed death ligand 1 (PD-L1) expression was associated with more favorable pCR rates in the overall patient group (OR, 3.199; 95% CI, 1.020–10.037; p = 0.046). Conclusion There is currently insufficient evidence to classify HER2-low breast cancer as a distinct subtype. Our study revealed that AR expression, along with negative PD-L1 expression, contributes to lower pCR rates.

Objective:To develop a maternal assessment scale integrating both positive (affirmation, optimism, self-confidence) and negative psychological states (fear, anxiety, depression) throughout the entire pregnancy cycle and evaluate its reliability and validity.Methods:In December 2020, the scale items were preliminarily identified through a literature review, forming a 55-item questionnaire for pilot survey and expert interviews. A pilot survey was conducted among registered pregnant women at the Obstetrics and Gynecology Hospital of Fudan University from April to May 2021. The feasibility and reliability of the questionnaire was validated through reliability and validity analysis, and revisions were made based on the feedback. The finalized version comprised 43 items, categorized into four key event dimensions (pregnancy, childbirth, transition to motherhood, and complications) and six psychological state dimensions (affirmation, fear, anxiety, depression, optimism, and self-confidence). Among these psychological states, affirmation, self-confidence, and optimism represent positive states, while fear, anxiety, and depression reflect negative states. A formal survey was conducted from December 2021 to November 2022. The normality, multicollinearity, reliability, construct validity, convergent validity, and discriminant validity of each item were analyzed.Results:(1) General information: A total of 625 participants were involved in the pilot survey. For the formal survey, 8 045 questionnaires were distributed, with 6 273 valid responses (78.0%). Among the valid questionnaires, 5 694 (90.8%) reported positive psychological states and 579 (9.2%) negative states. All of the psychological state dimensions were correlated (all P<0.01), with no multicollinearity detected [variance inflation factor (VIF)<10]. The four key event dimensions were also correlated (all P<0.01), with no multicollinearity (VIF<10). (2) Reliability: The overall Cronbach's α coefficient of the questionnaire was 0.830, and removing any single item resulted in the value remaining>0.6. Cronbach's α coefficient values for affirmation, fear, anxiety, depression, optimism, and self-confidence were 0.772, 0.724, 0.648, 0.551, 0.257, and 0.740, respectively. The values for the key event dimensions were as follows: 0.722 for pregnancy, 0.554 for childbirth, 0.621 for transition to motherhood, and 0.568 for complications. (3) Model fit: For the psychological states, the Chi-square to degrees of freedom ratio ( χ2/df) was 19.979 (>3), and the root mean square error of approximation (RMSEA) was 0.055 (<0.08). The model of key event dimensions had a χ2/df of 48.557, RMSEA of 0.087, comparative fit index of 0.400 (<0.9), and incremental fit index of 0.400 (<0.9). (4) Convergent and discriminant validity: The average variance extraction (AVE) values for affirmation, fear, anxiety, depression, optimism, and self-confidence were 0.407, 0.099, 0.188, 0.223, 0.419, and 0.362, with composite reliability (CR) values of 0.822, 0.730, 0.655, 0.584, 0.627, and 0.786, respectively. In the model of key event dimensions, the AVE values for pregnancy, childbirth, transition to motherhood, and complications were 0.167, 0.287, 0.328, and 0.166, with CR values of 0.555, 0.832, 0.746, and 0.633, respectively. Significant correlations were observed between all psychological dimensions except optimism-depression and self-confidence-anxiety pairs (all P<0.05). All four key event dimensions were significantly correlated (all P<0.05). Conclusions:This study preliminarily develops a maternal psychological status assessment scale with satisfactory reliability and validity. This scale can be used to evaluate the comprehensive psychological states of pregnant women during critical pregnancy-related events.

Objective:To investigate the clinical and pathological significance of the DICER1 mutation in follicular thyroid carcinoma (FTC).Methods:Sixty-eight cases of primary FTC resected between 2009 and 2023 were retrieved from The Affiliated Hospital of Qingdao University, Qingdao, China. Sanger sequencing was performed to identify DICER1 and TERT promoter mutations in all cases. Cases with DICER1 or TERT promoter mutations were subject to additional examination of potential mutations in KRAS, HRAS, and NRAS. The clinical and pathological features of DICER1-mutant FTCs were then analyzed. The relationship between DICER1 mutations and TERT-promoter/RAS mutations was also assessed.Results:DICER1 mutations were detected in 16 of the 68 FTC cases (23.5%), with 11 near E1813 at exon 25, 6 near D1709 at exon 24, and 1 in the splice region of exon 25. Two cases harbored two (distinct) mutations. All patients with DICER1-mutant FTC were female. Compared with patients with DICER1-wild-type FTC, those with DICER1-mutant were much younger, and had a higher proportion of minimally invasive subtype. Nine FTCs with DICER1 mutations were subject to further sequencing on adjacent non-cancerous tissues or lymph node tissues, but no mutations were detected. TERT-promoter or RAS hotspot mutations were not identified in any of the DICER1-mutant cases. However, TERT-promoter mutation was found in 6 DICER1-wild-type cases (8.8%, 6/68), with 3 cases also having RAS hotspot mutations and exhibiting highly aggressive biological behaviors.Conclusion:DICER1 mutations may occur in FTCs and appear mutually exclusive with RAS and TERT-promoter mutations, warranting further study as RAS-like mutations.

Objective:To evaluate the efficacy and safety of Luofuoshan-Baicao oil (LBO) and wind medicated oil for the treatment of Aedes albopictus bites. Methods:A paired self-controlled study was conducted. Thirty-six healthy volunteers were recruited from Guangdong Provincial Hospital of Traditional Chinese Medicine from February 2023 to March 2023. Each participant's forearms were subjected to Aedes albopictus bites, with 3 bites on each arm. For the first 18 participants, LBO was applied to the left arm, and wind medicated oil to the right arm; for the latter 18 participants, wind medicated oil was applied to the left arm, and LBO to the right arm. The observation period was 24 hours. Within the first 3 hours after the mosquito bites, the topical agents were applied once every other hour for a total of 3 sessions, with an applicator centered on the bite site at a dose of approximately 50 μl, covering a skin area of about 2 cm in diameter; after 3 hours, participants applied the topical agents themselves until symptoms subsided or the 24-hour observation period ended. All subjects were followed up at the occurrence of skin lesions after mosquito bites, 0 to 3 hours after the first treatment, as well as 24 hours after the first treatment. During the follow-up, the effects of both topical agents on pruritus, erythema, papules, or wheals were evaluated, differences in treatment frequency were analyzed, and treatment-related adverse events were recorded. The time to disappearance of pruritus after treatment was statistically analyzed using Kaplan-Meier survival analysis, and intergroup differences were analyzed using the log-rank (Mantel-Cox) test. Two independent samples t-test was used for comparisons of other measurement data, and Pearson's chi-square test or Fisher's exact test was used for comparisons of count data between groups. Results:Within 3 hours after the first treatment, the time to initial disappearance of pruritus was significantly shorter in the LBO group (20.71 ± 1.92 min) than in the wind medicated oil group (28.30 ± 2.20 min, P < 0.05). The cumulative pruritus rate (the proportion of participants with pruritus among all participants) over time showed an overall stable fluctuation, and the cumulative pruritus rates at all observation points were significantly lower in the LBO group than in the wind medicated oil group ( P<0.05). After 3 hours of treatment, the mean values of changes in erythema diameters were 25.83 mm in the LBO group and 26.24 mm in the wind medicated oil group, while the mean values of changes in papule or wheal diameters were 8.25 mm in the LBO group and 9.18 mm in the wind medicated oil group; within 24 hours after the first treatment, the average time to disappearance of papules or wheals was 71.85 minutes in the LBO group and 73.01 minutes in the wind medicated oil group, while the average time to disappearance of erythema was 82.27 minutes in the LBO group and 84.86 minutes in the wind medicated oil group; there were no significant differences in the above observational indices between the two groups (all P > 0.05). The number of pruritus episodes within 24 hours of treatment was 56 in both the LBO group and wind medicated oil group, and the treatment frequency was 107 in both two groups; there were also no significant differences in the frequencies of pruritus episodes or treatment (both P > 0.05). No adverse events or reactions occurred during the trial. Conclusion:LBO was more effective than wind medicated oil in reducing the time to disappearance of pruritus after Aedes albopictus bites, with a high safety profile.

Obesity represents a complex, heritable condition shaped by interactions among genetic, epigenetic, metagenomic, and environmental factors. Nevertheless, the mechanistic contributions of genetic variation and epigenetic regulation to obesity pathogenesis remain incompletely elucidated. Advances in molecular profiling technologies have enabled the identification of numerous biomarkers associated with childhood obesity phenotypes. These discoveries facilitate understanding of obesity etiology and its links to chronic diseases. This review synthesizes current research on genomic and epigenomic biomarkers influencing childhood obesity susceptibility, advances our comprehension of etiological heterogeneity and intervention strategies, and offers conceptual frameworks for precision prevention based on epigenetic mechanisms.

Objective: To explore the association between CDKAL1 rs35261542, FAIM2 rs 3205718, and VGLL4 rs 2574704 polymorphisms with childhood obesity and related metabolic phenotypes to provide evidence for personalized prevention and management strategies. Methods: Based on the 2023 Long term Nutritional Health Effects of Early Childhood Nutrition Package Intervention project, the study enrolled 1 078 children aged 5-7 years from four counties in Henan (Songxian and Ruyang countries) and Guizhou (Guiding and Fuquan countries) provinces. Using BMI Z scores, 87 overweight and obese(OVOB) children were selected and matched by sex, age, and BMI Z score with 117 normal weight controls. Participants were further stratified into four metabolic phenotype groups: metabolically healthy normal weight (MHNW, n =51), metabolically unhealthy normal weight (MUNW, n =66), metabolically healthy obesity (MHO, n =31) and metabolically unhealthy obesity (MUO, n =56) based on four conventional cardiometabolic risk factor (CR) criteria. Data were collected through questionnaires, anthropometric measurements, serum biochemical tests, and KASP genotyping. The distribution of three genetic polymorphisms ( CDKAL1 rs35261542, FAIM2 rs3205718, VGLL4 rs 2574704) across metabolic subgroups was analyzed. Multivariate Logistic regression models assessed associations between these polymorphisms and obesity/metabolic phenotypes. Results: Multivariate Logistic regression analysis showed that Homozygous mutant AA genotype of CDKAL1 rs 35261542 was positively associated with OVOB( OR =3.63), MHO ( OR =11.04), MUO ( OR = 4.88 ) ( P <0.05). Homozygous TT genotype of FAIM2 rs 3205718 increased OVOB risk ( OR =4.44, P <0.05) but showed no association with metabolic phenotypes ( P >0.05). Homozygous mutant TT of VGLL4 rs 2574704 reduced the risks of MHO and MUO ( OR = 0.30, 0.24， P <0.05). Cumulative genetic effects analysis demonstrated carriers of 1 or 2 risk genotypes of rs 35261542 and rs 3205718 had progressively higher OVOB risk ( OR =2.53, 20.79), and the combination of rs 35261542 and rs 2574704 increased risks for both MHO ( OR =8.50) and MUO ( OR =5.00) ( P <0.05). Conclusions The AA genotype of rs 35261542 ( CDKAL1 ) positively correlates with childhood obesity and metabolic abnormalities. The TT genotype of rs 3205718 ( FAIM 2) increases obesity risk but not metabolic phenotypes. The TT genotype of rs 2574704 ( VGLL 4) shows protective effects against metabolic dysfunction. Risk genotypes exhibit dosedependent cumulative effects on obesity and metabolic outcomes.