With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Depression is a common psychiatric disorder characterized by persistent low mood or mental disorders. Current treatments primarily focus on regulating neurotransmitter levels， but their effectiveness is limited. The mechanisms underlying its onset are complex， and there is no unified consensus. Abnormal signaling pathway transmission plays a crucial role in the development of depression， involving multiple pathways， including Toll-like receptor 4/nucleotide-binding oligomerization domain-like receptor protein 3 （TLR4/NLRP3）， nuclear factor-κB （NF-κB）， Janus kinase/signal transducer and activator of transcription （JAK/STAT）， mitogen-activated protein kinase/extracellular signal-regulated kinase （MAPK/ERK）， brain-derived neurotrophic factor/tyrosine kinase receptor B （BDNF/TrkB）， cyclic AMP/protein kinase A/cAMP response element-binding protein （cAMP/PKA/CREB）， and others. Traditional Chinese medicine（TCM） is based on a holistic approach and the principle of treatment based on the differentiation of syndromes， regulating the balance of multiple systems and organ functions from a macroscopic perspective. This approach has shown unique advantages in the treatment of depression. TCM attributes the onset of depression to dysfunction of the organ systems， involving liver Qi stagnation， heart spirit deficiency， kidney essence depletion， and spleen dysfunction. TCM compound treatments focus on soothing the liver， strengthening the spleen， calming the heart， and replenishing essence， with formulas such as Xiaoyaosan， Zishui Qinggan Yin， and Chahu Jia Guizhi Longgu Muli Tang. The active components of Chinese herbs mainly aim to tonify and regulate Qi， such as salidroside， ginsenoside Rb₁， astragaloside， and muscone. External TCM treatments， primarily acupuncture， aim to open the orifices and invigorate the spirit. Acupoints such as Baihui， Shenting， and Yintang are commonly used. Additionally， massage and moxibustion therapy can intervene in depression by regulating signaling pathways. This article reviews the core role of signaling pathways in the development of depression and the mechanism of TCM regulation of signaling pathways to intervene in depression， aiming to discover new therapeutic approaches that can improve the symptoms of depressed patients.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Aim To evaluate the in vitro anti-chronic obstructive pulmonary disease(COPD)effects of six batches of Rhizoma Pinelliae(RP)ethanol extracts by the technique for order preference by similarity to an i-deal solution(TOPSIS),so as to establish a new method for comprehensive quality evaluation of RP.Methods Cigarette smoke extract(CSE)and lipopo-lysaccharide(LPS)were utilized to establish an airway inflammation model of Beas-2b human normal lung cells.MTT assay was employed to determine the toxici-ty and pharmacological concentrations of Pinellia Ter-nata(PT)and six different batches RP of their ethanol extracts.EC50 and IC50 values were calculated accord-ingly.Additionally,relevant markers were assessed u-sing qRT-PCR and the superoxide dismutase(SOD)assay kit.Finally,a comprehensive evaluation invol-ving multiple indices was performed using the TOPSIS method for both PT and the six batches of RP extracts.Results According to the IC50 values of seven differ-ent Pinellia ternata,the toxicity ranking was as fol-lows:PT＞RP④＞RP①＞RP⑤＞RP③＞RP⑥＞RP ②.On the other hand,the expressions of TNF-α,IL-6 and IL-8 were down-regulated in the treatment group compared with those of the model group by qRT-PCR.In addition,the levels of SOD de-creased in all groups after treatment.All the data were normalized and the comprehensive ranking results were obtained through TOPSIS analysis as follows:RP⑥＞RP⑤＞RP②＞RP①＞RP③＞RP④＞PT.Con-clusions The ethanol extracts of different Rhizoma Pinelliae varieties all demonstrate the capacity to sup-press inflammation and oxidative stress induced by LPS and CSE.The comprehensive evaluation indicates that the quality of the ⑥ batch of RP shows the highest quality.Moreover,the TOPSIS method can serve as an assessment approach for medicinal materials,offering a pathway for controling the varying quality of herbal ma-terials available in the market.

Aim To evaluate the in vitro anti-chronic obstructive pulmonary disease(COPD)effects of six batches of Rhizoma Pinelliae(RP)ethanol extracts by the technique for order preference by similarity to an i-deal solution(TOPSIS),so as to establish a new method for comprehensive quality evaluation of RP.Methods Cigarette smoke extract(CSE)and lipopo-lysaccharide(LPS)were utilized to establish an airway inflammation model of Beas-2b human normal lung cells.MTT assay was employed to determine the toxici-ty and pharmacological concentrations of Pinellia Ter-nata(PT)and six different batches RP of their ethanol extracts.EC50 and IC50 values were calculated accord-ingly.Additionally,relevant markers were assessed u-sing qRT-PCR and the superoxide dismutase(SOD)assay kit.Finally,a comprehensive evaluation invol-ving multiple indices was performed using the TOPSIS method for both PT and the six batches of RP extracts.Results According to the IC50 values of seven differ-ent Pinellia ternata,the toxicity ranking was as fol-lows:PT＞RP④＞RP①＞RP⑤＞RP③＞RP⑥＞RP ②.On the other hand,the expressions of TNF-α,IL-6 and IL-8 were down-regulated in the treatment group compared with those of the model group by qRT-PCR.In addition,the levels of SOD de-creased in all groups after treatment.All the data were normalized and the comprehensive ranking results were obtained through TOPSIS analysis as follows:RP⑥＞RP⑤＞RP②＞RP①＞RP③＞RP④＞PT.Con-clusions The ethanol extracts of different Rhizoma Pinelliae varieties all demonstrate the capacity to sup-press inflammation and oxidative stress induced by LPS and CSE.The comprehensive evaluation indicates that the quality of the ⑥ batch of RP shows the highest quality.Moreover,the TOPSIS method can serve as an assessment approach for medicinal materials,offering a pathway for controling the varying quality of herbal ma-terials available in the market.

Lilii Bulbus is a commonly used Chinese herbal medicine with both medicinal and edible values, while the market products usually has the problem of sulfur fumigation. Therefore, the quality and safety of Lilii Bulbus products deserve attention. In this study, ultra-high performance liquid chromatography-time of flight-tandem mass spectrometry(UPLC-Q-TOF-MS/MS) was combined with principal component analysis(PCA) and orthogonal partial least squares discriminant analysis(OPLS-DA) to analyze the differential components of Lilii Bulbus before and after sulfur fumigation. We identified ten markers generated after sulfur fumigation, summarized their mass fragmentation and transformation patterns, and verified the structures of phenylacrylic acid markers of sulfur fumigation. At the same time, the cytotoxicity of the aqueous extracts of Lilii Bulbus before and after sulfur fumigation was evaluated. The results showed that in the concentration range of 0-800 mg·L~(-1), the aqueous extract of Lilii Bulbus after sulfur fumigation had no significant effect on the viability of human liver LO2 cells, human renal proximal tubular HK-2 cells, and rat adrenal pheochromocytoma PC-12 cells. Moreover, the viability of the cells exposed to the aqueous extract of Lilii Bulbus before and after sulfur fumigation showed no significant difference. This study identified phenylacrylic acid and furostanol saponins as markers of sulfur-fumigated Lilii Bulbus for the first time, and made clear that proper sulfur fumigation of Lilii Bulbus would not produce cytotoxicity, providing a theoretical basis for the rapid identification and quality and safety control of sulfur-fumigated Lilii Bulbus.
Humans ; Animals ; Rats ; Fumigation ; Tandem Mass Spectrometry ; Chromatography, High Pressure Liquid ; Epithelial Cells ; Sulfur

Objective: To analyze the short-term effect of individual atmospheric PM_2.5 exposure on the diversity, enterotype, and community structure of gut microbiome in healthy elderly people in Jinan, Shandong province. Methods: The present panel study recruited 76 healthy elderly people aged 60-69 years old in Dianliu Street, Lixia District, Jinan, Shandong Province, and followed them up five times from September 2018 to January 2019. The relevant information was collected by questionnaire, physical examination, precise monitoring of individual PM_2.5 exposure, fecal sample collection and gut microbiome 16S rDNA sequencing. The Dirichlet multinomial mixtures (DMM) model was used to analyze the enterotype. Linear mixed effect model and generalized linear mixed effect model were used to analyze the effect of PM_2.5 exposure on gut microbiome α diversity indices (Shannon, Simpson, Chao1, and ACE indices), enterotype and abundance of core species. Results: Each of the 76 subjects participated in at least two follow-up visits, resulting in a total of 352 person-visits. The age of 76 subjects was (65.0±2.8) years old with BMI (25.0±2.4) kg/m². There were 38 males accounting for 50% of the subjects. People with an educational level of primary school or below accounted for 10.5% of the 76 subjects, and those with secondary school and junior college or above accounting for 71.1% and 18.4%. The individual PM_2.5 exposure concentration of 76 subjects during the study period was (58.7±53.7) μg/m³. DMM model showed that the subjects could be divided into four enterotypes, which were mainly driven by Bacteroides, Faecalibacterium, Lachnospiraceae, Prevotellaceae, and Ruminococcaceae. Linear mixed effects model showed that different lag periods of PM_2.5 exposure were significantly associated with a lower gut α diversity index (FDR<0.05 after correction). Further analysis showed that PM_2.5 exposure was significantly associated with changes in the abundances of Firmicutes (Megamonas, Blautia, Streptococcus, etc.) and Bacteroidetes (Alistipes) (FDR<0.05 after correction). Conclusion: Short-term PM_2.5 exposure is significantly associated with a decrease in gut microbiome diversity and changes in the abundance of several species of Firmicutes and Bacteroidetes in the elderly. It is necessary to further explore the underlying mechanisms between PM_2.5 exposure and the gut microbiome, so as to provide a scientific basis for promoting the intestinal health of the elderly.
Aged ; Humans ; Male ; Middle Aged ; Feces/microbiology* ; Gastrointestinal Microbiome ; Particulate Matter ; RNA, Ribosomal, 16S/genetics* ; Female

OBJECTIVE: To investigate whether the placement of absorbable collagen membrane increase the stability of alveolar ridge contour after guided bone regeneration (GBR) using buccal punch flap. METHODS: From June 2019 to June 2023, patients who underwent GBR using buccal punch flap simultaneously with a single implant placement in posterior region (from first premolar to second molar) were divided into coverage group, in which particular bone graft was covered by collagen membrane and non-coverage group. Cone beam CT (CBCT) was taken before surgery (T0), immediately after surgery (T1), and 3-7 months after surgery (T2), and the thickness of the buccal bone plate at different levels (0, 2, 4, and 6 mm) below the smooth-rough interface of the implant (BBT-0, -2, -4, -6) was mea-sured after superimposition of CBCT models using Mimics software. RESULTS: A total of 29 patients, including 15 patients in coverage group and 14 patients in non-coverage group, were investigated in this study. At T0, T1, and T2, there was no significant difference in BBT between the two groups (P>0.05). At T1, BBT-0 was (2.50±0.90) mm in the coverage group and (2.97±1.28) mm in the non-coverage group, with corresponding BBT-2 of (3.65±1.08) mm and (3.58±1.26) mm, respectively. At T2, BBT-0 was (1.22±0.55) mm in the coverage group and (1.70±0.97) mm in the non-coverage group, with corresponding BBT-2 of (2.32±0.94) mm and (2.57±1.26) mm, respectively. From T1 to T2, there were no statistically significant differences in the absolute values [(0.47±0.54)-(1.33±0.75) mm] and percentages [(10.04%±24.81%)-(48.43%±18.32%)] of BBT change between the two groups. The thickness of new bone formation in the buccal bone plate from T0 to T2 ranged from (1.27±1.09) mm to (2.75±2.15) mm with no statistical difference between the two groups at all levels. CONCLUSION In the short term, the GBR using buccal punch flap with or without collagen membrane coverage can effectively repair the buccal implant bone defect. But collagen membrane coverage showed no additional benefit on alveolar ridge contour stability compared with non-membrane coverage.
Humans ; Cohort Studies ; Retrospective Studies ; Alveolar Ridge Augmentation ; Collagen ; Cone-Beam Computed Tomography ; Bone Regeneration ; Dental Implantation, Endosseous

In this study, visual-near infrared(VNIR), short-wave infrared(SWIR), and VNIR + SWIR fusion hyperspectral data of Polygonatum cyrtonema from different geographical origins were collected and preprocessed by first derivative(FD), second derivative(SD), Savitzky-Golay smoothing(S-G), standard normalized variate(SNV), multiplicative scatter correction(MSC), FD+S-G, and SD+S-G. Three algorithms, namely random forest(RF), linear support vector classification(LinearSVC), and partial least squares discriminant analysis(PLS-DA), were used to establish the identification models of P. cyrtonema origin from three spatial scales, i.e., province, county, and township, respectively. Successive projection algorithm(SPA) and competitive adaptive reweighted sampling(CARS) were used to screen the characteristic bands, and the P. cyrtonema origin identification models were established according to the selected characteristic bands. The results showed that(1)after FD preprocessing of VNIR+SWIR fusion hyperspectral data, the accuracy of recognition models established using LinearSVC was the highest, reaching 99.97% and 99.82% in the province origin identification model, 100.00% and 99.46% in the county origin identification model, and 99.62% and 98.39% in the township origin identification model. The accuracy of province, county, and township origin identification models reached more than 98.00%.(2)Among the 26 characteristic bands selected by CARS, after FD pretreatment, the accuracy of origin identification models of different spatial scales was the highest using LinearSVC, reaching 98.59% and 97.05% in the province origin identification model, 97.79% and 94.75% in the county origin identification model, and 90.13% and 87.95% in the township origin identification model. The accuracy of identification models of different spatial scales established by 26 characteristic bands reached more than 87.00%. The results show that hyperspectral imaging technology can realize accurate identification of P. cyrtonema origin from different spatial scales.
Spectroscopy, Near-Infrared ; Polygonatum ; Algorithms ; Random Forest ; Least-Squares Analysis

OBJECTIVE: To observe the efficacy and safety of different induction regimens of same total dosage of azacitidine (Aza), including standard dose (standard dose group) and low-dose long-term (adjusted dose group), in the treatment of elderly acute myeloid leukemia (AML). METHODS: A total of 103 elderly patients with AML (non-acute promyelocytic leukemia) from January 2020 to June 2021 were enrolled. Aza was administered at the standard dose of 75 mg/(m²·d) for 7 days in the standard dose group (50 cases), while at 100 mg/d for 7-12 days in the adjusted dose group (53 cases). The administration days in adjusted dose group was calculated based on the total standard dose of the patient's single course of treatment. The efficacy and safety between standard dose group and adjusted dose group were compared. Subgroup analysis were performed in the two groups for Aza alone, Aza combined with BCL-2 inhibitor, and Aza combined with low-dose chemotherapy for efficacy and safety. RESULTS: There were no significant differences in overall response rate (ORR), incidence of adverse reaction, and 1-year overall survival (OS) rate between standard dose group and adjusted dose group (P >0.05). The ORR of combination was higher than that of Aza alone (P < 0.05), while there was no significant difference in ORR between Aza combined with BCL-2 inhibitor and Aza combined with low-dose chemotherapy (P >0.05). The combination of BCL-2 inhibitor did not increase the incidence of adverse reactions compared wtih Aza alone. There was a higher risk of myelosuppression and pulmonary infection with a combination of low-dose chemotherapy than with a combination of BCL-2 inhibitor and Aza alone (P <0.05). No significant difference was observed in 1-year OS between Aza alone, Aza combined with BCL-2 inhibitor, and Aza combined with low-dose chemotherapy (P >0.05). CONCLUSIONS Both two induction regimens can be used in elderly AML patients who cannot tolerate intensive chemotherapy with similar overall effectiveness and safety. Aza combined with low-dose chemotherapy may result in increased ORR and an increased incidence of serious adverse reactions, and may not result in longer survival compared with Aza alone. Aza combined with BCL-2 inhibitor not only has similar effect in complete remission, objective response rate, and OS compared with Aza combined with low-dose chemotherapy, but also has higher safety.
Humans ; Aged ; Azacitidine/therapeutic use* ; Prospective Studies ; Treatment Outcome ; Antineoplastic Combined Chemotherapy Protocols ; Leukemia, Myeloid, Acute/etiology* ; Proto-Oncogene Proteins c-bcl-2