To summarize the current status in the application of digital and intelligent technologies in the field of pharmacovigilance and to provide reference to the selection and development of methods for pharmacovigilance of rare diseases.

Research indicates that microbe activity within the human body significantly influences health by being closely linked to various diseases. Accurately predicting microbe-disease interactions (MDIs) offers critical insights for disease intervention and pharmaceutical research. Current advanced AI-based technologies automatically generate robust representations of microbes and diseases, enabling effective MDI predictions. However, these models continue to face significant challenges. A major issue is their reliance on complex feature extractors and classifiers, which substantially diminishes the models' generalizability. To address this, we introduce a novel graph autoencoder framework that utilizes decoupled representation learning and multi-scale information fusion strategies to efficiently infer potential MDIs. Initially, we randomly mask portions of the input microbe-disease graph based on Bernoulli distribution to boost self-supervised training and minimize noise-related performance degradation. Secondly, we employ decoupled representation learning technology, compelling the graph neural network (GNN) to independently learn the weights for each feature subspace, thus enhancing its expressive power. Finally, we implement multi-scale information fusion technology to amalgamate the multi-layer outputs of GNN, reducing information loss due to occlusion. Extensive experiments on public datasets demonstrate that our model significantly surpasses existing top MDI prediction models. This indicates that our model can accurately predict unknown MDIs and is likely to aid in disease discovery and precision pharmaceutical research. Code and data are accessible at: https://github.com/shmildsj/MDI-IFDRL.

Objective To explore the feasibility of decreasing radiation dose of enhanced abdominal examination in 320-row CT using 80 kV tube voltage combined with Karl iterative reconstruction.Methods One hundred patients with body mass index(BMI)＜25.0 kg/m2 who underwent enhanced abdominal examination in 320-row CT were divided into group A and group B(50 patients for each group).120 kV tube voltage and filtered back projection(FBP)reconstruction were used for group A,while 80 kV tube voltage,FBP recon-struction and Karl iterative reconstruction were used for group B.Radiation dose and image quality between the two groups were evaluated.Results The effective dose(ED)were(11.0±1.7)mSv in group A and(5.6±0.7)mSv in group B for single scan(P＜0.01).Compared with group A,the ED in group B was decreased by 49.1％.The noise on the Karl images in group B was significantly decreased compared with the FBP images in group B(P＜0.01),and there was no significant difference in noise of liver between the FBP ima-ges in group A and the Karl images in group B(P＞0.05).Compared with the FBP images in group A,the noise of abdominal aorta and portal vein on the Karl images in group B was slightly increased(P＜0.05),while the signal-to-noise ratio(SNR)and the con-trast-to-noise ratio(CNR)of abdominal aorta and portal vein on the Karl images in group B were significantly increased(P＜0.01).Image quality scores for liver,spleen,pancreas,kidney,gastrointestinal tract,abdominal aorta and portal vein on the Karl images in group B were significantly higher than those on the FBP images in group B(P＜0.01),and there was no significant difference in the image quality scores for liver,spleen,pancreas,kidney,gastrointestinal tract,and abdominal aorta between the FBP images in group A and the Karl images in group B(P＞0.05),while the image quality score for portal vein on the Karl images in group B was higher than that on the FBP images in group A(P＜0.05).Conclusion Radiation dose can be decreased obviously in 320-row CT enhanced abdominal examination using 80 kV tube voltage combined with Karl iterative reconstruction for the patients with BMI＜25.0 kg/m2,while image quality can be maintained for diagnosis.

Objective To explore the feasibility of second-generation dual-layer detector spectral CT ab-dominal virtual non-contrast(VNC) for diagnosing fatty liver.Methods The imaging data of 128 patients with second-generation dual-layer detector spectral CT abdominal enhanced CT in West China Hospital of Si-chuan University from June 2022 to December 2022 were retrospectively analyzed.The CT values of the left lobe,right anterior lobe,right posterior lobe and spleen of all patients were measured on TNC,arterial stage VNC (A-VNC) and venous stage VNC (V-VNC) images.The difference value (L-S) and ratio value (L/S) between the CT value of liver and CT value of spleen were calculated.According to the threshold value of TNC image diagnosis of fatty liver in previous studies,the included cases were divided into two groups:fatty liver group and non-fatty liver group.The Mann-Whitney U test was used to compare the difference of quanti-tative parameters between the fatty liver group and non-fatty liver group.The efficiency of VNC in the diagno-sis of fatty liver was evaluated by the receiver operating characteristic (ROC) curve,and the difference be-tween ROC curves was compared with DeLong's test.The intra-group and inter-group correlation coefficient (ICC) values were used to evaluate the consistency of data measurement.Results The ICC values of intra-group and inter-group consistency of data ranged (0.835-0.986) and (0.810-0.978),respectively (P<0.05).The mean value of left lobe,right anterior lobe,right posterior lobe and triple lobe of liver and CT val-ue of spleen in A-VNC and V-VNC images were lower than those of TNC images,and the differences were statistically significant (P<0.05).The CT values of TNC,A-VNC,V-VNC,(L-S) values and (L/S) values of the non-fatty liver group were higher than those of the fatty liver group,and the differences were statistical-ly significant (P<0.05).The CT value,(L-S) value and (L/S) value of TNC,A-VNC and V-VNC images in the non-fatty liver group were higher than those in the fatty liver group,and the differences were statistically significant (P<0.05).The area under the curve (AUC) of CT values of A-VNC and V-VNC for the diagnosis of fatty liver all were 0.997,and their efficiencies for diagnosing fatty liver had no statistical difference (Z=0.407,P=0.684).AUC of A-VNC (L-S) and V-VNC (L-S) in the diagnosis of fatty liver was 1.000 and 0.981,respectively,and their efficiencies for diagnosing fatty liver had no statistical difference (Z=1.790,P=0.074).AUC of A-VNC (L/S) and V-VNC (L/S) in the diagnosis of fatty liver was 0.992 and 0.987,respec-tively,and their efficiencies for diagnosing fatty liver also had no statistical difference (Z=0.665,P=0.506). Conclusion The CT values of liver and spleen in VNC images reconstructed by second-generation dual-layer detector spectral CT are lower than TNC,but it is still feasible to diagnose fatty liver based on VNC images.

Herein,a new multifunctional hydrogel wound dressing was fabricated for the first time based on the crosslinking between catechol-modified chitosan(CHI-C)and bismuth sulfide-gold nanocluster nanoparticles(Bi2S3-Au NCs NPs)by simple stirring at room temperature within 1 min.Benefit from the good biocompatibility of CHI-C and excellent photothermal abilily of Bi2S3-Au NCs NPs,it could achieve postoperative photothermal therapy of tumor residual tissue and wound healing.More importantly,the as-prepared hydrogel with fluorescent property could accurately monitor the postoperative wound filling in real-time,which was critical to wound healing,especially for irregular wounds.The smart hydrogel was expected to provide a new perspective for preventing and reducing cancer recurrence and wound infection after surgery.

ObjectiveTo explore the syndrome elements and evolving patterns of patients with hepatitis B virus-related acute on chronic liver failure （HBV-ACLF） at different stages. MethodsClinical information of 1,058 hospitalized HBV-ACLF patients， including 618 in the early stage， 355 in the middle stage， and 85 in the late stage， were collected from 18 clinical centers across 12 regions nationwide from January 1， 2012 to February 28， 2015. The “Hepatitis B-related Chronic and Acute Liver Failure Chinese Medicine Clinical Questionnaire” were designed to investigate the basic information of the patients， like the four diagnostic information （including symptoms， tongue， pulse） of traditional Chinese medicine （TCM）， and to count the frequency of the appearance of the four diagnostic information. Factor analysis and cluster analysis were employed to determine and statistically analyze the syndrome elements and patterns of HBV-ACLF patients at different stages. ResultsThere were 76 four diagnostic information from 1058 HBV-ACLF patients， and 53 four diagnostic information with a frequency of occurrence ≥ 5% were used as factor analysis entries， including 36 symptom information， 12 tongue information， and 5 pulse information. Four types of TCM patterns were identified in HBV-ACLF， which were liver-gallbladder damp-heat pattern， qi deficiency and blood stasis pattern， liver-kidney yin deficiency pattern， and spleen-kidney yang-deficiency pattern. In the early stage， heat （39.4%， 359/912） and dampness （27.5%， 251/912） were most common， and the pattern of the disease was dominated by liver-gallbladder damp-heat pattern （74.6%， 461/618）； in the middle stage， dampness （30.2%， 187/619） and blood stasis （20.7%， 128/619） were most common， and the patterns of the disease were dominated by liver-gallbladder damp-heat pattern （53.2%， 189/355）， and qi deficiency and blood stasis pattern （27.6%， 98/355）； and in the late stage， the pattern of the disease was dominated by qi deficiency （26.3%， 40/152） and yin deficiency （20.4%， 31/152）， and the patterns were dominated by qi deficiency and blood stasis pattern （36.5%， 31/85）， and liver-gallbladder damp-heat pattern （25.9%， 22/85）. ConclusionThere are significant differences in the distribution of syndrome elements and patterns at different stages of HBV-ACLF， presenting an overall trend of evolving patterns as "from excess to deficiency， transforming from excess to deficiency"， which is damp-heat → blood stasis → qi-blood yin-yang deficiency.

ObjectiveTo investigate the mechanism of Buzhong Yiqitang in ameliorating ferroptosis in autoimmune thyroiditis （AIT） mice based on the nuclear factor erythroid 2-related factor 2 （Nrf2）/peroxisome proliferator-activated receptor γ （PPARγ）/glutathione peroxidase 4 （GPX4） pathway. Method120 SPF-grade 7-8-week-old NOD.H-2^h4 mice were randomly divided into control group， model group， low-， medium-， and high-dose Buzhong Yiqitang groups， and western medicine group， with 20 mice in each group. Except for the control group， all mice were fed with classic high-iodine water （0.05% NaI） to induce AIT models after 8 weeks. The low-， medium-， and high-dose Buzhong Yiqitang groups were administered 4.78， 9.56， 19.12 g·kg^-1 of Buzhong Yiqitang， respectively， via gavage. The western medicine group was given 3.033×10^-5 g·kg^-1 selenium yeast tablet suspension via gavage， while the control and model groups were given an equal volume of distilled water via gavage. After 8 weeks of continuous treatment， samples were collected. The pathological morphology of mouse thyroid tissue was observed through hematoxylin-eosin （HE） staining，the content of serumantithyroid peroxidase autoantibody（TPOAb）and anti-thyroglobulin antibodies（TGAb）was measured by enzyme-linked immunosorbent assay （ELISA），the kit was used to detect the levels of superoxide dismutase （SOD）， and malondialdehyde （MDA） in mouse serum. Immunofluorescence was used to detect the localized expression of GPX4 in thyroid tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the expression of Nrf2， PPARγ， solute carrier family 7 member 11 （SLC7A11）， solute carrier family 3 member 2 （SLC3A2）， lysolipid lecithin acyltransferase 3 （LPCAT3）， and GPX4 mRNA in thyroid tissue. Western blot was used to detect the expression of Nrf2， PPARγ， SLC7A11， SLC3A2， LPCAT3， and GPX4 proteins in thyroid tissue. ResultCompared with control group， model group under light microscopy showed significant lymphocyte infiltration in the thyroid tissue， significantly increased levels of TGAb and TPOAb in serum （P<0.01）， significantly increased MDA levels and decreased SOD levels in serum （P<0.01）， significantly decreased expression of Nrf2， PPARγ， SLC7A11， SLC3A2， and GPX4 （P<0.01） in thyroid tissue， while the expression of LPCAT3 was significantly increased （P<0.01）. Compared with model group， the Buzhong Yiqitang groups and the western medication group under light microscopy showed lymphocyte infiltration in the thyroid tissue of was decreased， significantly decreased levels of TPOAb and TGAb in serum （P<0.05，P<0.01）， decreased MDA levels and increased SOD levels in serum（P<0.05，P<0.01），significantly increased expression of Nrf2， PPARγ， SLC7A11， SLC3A2， and GPX4， while the expression of LPCAT3 was significantly decreased （P<0.05，P<0.01） in the thyroid tissue. Compared with western medication group， Buzhong Yiqitang groups showed significant overall trends in the expression of Nrf2， PPARγ， SLC7A11， SLC3A2， GPX4， and LPCAT3 （P<0.05，P<0.01）. ConclusionBuzhong Yiqitang can effectively improve the inflammatory injury of AIT， and its mechanism of action may be related to the regulation of Nrf2/PPARγ/GPX4 to inhibit ferroptosis.

ObjectiveTo explore the mechanism of Buzhong Yiqitang in improving autoimmune thyroiditis （AIT） by regulating helper T cell 17（Th17） cells through microRNA-155 （miR-155）/Nedd4 family interaction protein 1 （Ndfip1）/phosphatase and tensin homology （Pten） axis. MethodThe 100 SPF grade 8 week-old NOD.H-2^h4 mice were fed with high iodine water （0.05% NaI） for 8 weeks， and AIT model was made. They were divided into model group， Buzhong Yiqitang low-，medium-，and high-dose groups （4.78，9.56，19.12 g·kg^-1·d^-1） and selenium yeast tablet group （3.033×10^-5 g·kg^-1） according to random number table method. There were 20 mice in each group and 20 mice in the control group. The control group and the model group were given the same amount of distilled water. After 8 weeks of continuous administration， Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the expression of miR-155-5p， Ndfip1， Pten， protein tyrosine kinase 1 （Jak1）， signaling and transcriptional activator 3 （Stat3） retinoic acid-associated orphan receptor γt （RORγt）， and interleukin-17 （IL-17） mRNA in mouse thyroid tissue. Western blot was used to detect the expression of Ndfip1， Pten， Jak1， Stat3， RORγt， and IL-17 proteins in mouse thyroid tissue， immunohistochemical method was used to detect the expression of Ndfip1 and Pten proteins in mouse thyroid tissue； flow cytometry was used to detect the proportion of Th17 cells in mouse spleen. ResultCompared with the control group， the proportion of Th17 cells was increased （P<0.01）. The expressions of miR-155-5p， Jak1， Stat3， RORγt and IL-17 were increased （P<0.01）， while the expressions of Ndfip1 and Pten were decreased （P<0.01）. Compared with model group， the proportion of Th17 cells was decreased （P<0.05，P<0.01）. The expressions of miR-155-5p， Jak1， Stat3， RORγt and IL-17 were decreased （P<0.05，P<0.01）， while the expressions of Ndfip1 and Pten were increased （P<0.05，P<0.01）. ConclusionThe application of Buzhong Yiqitang can improve the autoimmune disorder of AIT mice， the mechanism of which may be related to the regulation of Ndfip1/Pten axis by miR-155 and then the regulation of Th17 cell differentiation.

ObjectiveTo investigate the effects of Buzhong Yiqitang on the tumor necrosis factor receptor superfamily member 6 （Fas）/Fas related death domain protein （FADD）/Caspase-8 cell apoptotic signaling pathway in mice model with autoimmune thyroiditis （AIT）. MethodThere were 120 SPF grade NOD.H-2^h4 mice aged 8 weeks， 100 of which were fed with high iodine water （0.05% NaI）， and the AIT model was made after 8 weeks. According to random number table method， they were divided into model group， Buzhong Yiqitang low-dose， medium-dose and high-dose groups （4.78， 9.56， 19.12 g·kg^-1）， selenium yeast tablet group （3.033×10^-5 g·kg^-1）， with 20 mice in each group and 20 control group. The apoptosis of thyroid cells was detected by in situ end labeling （TUNEL） after 8 weeks of administration. The real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of Fas， FADD， Caspase-8， and Caspase-3 in thyroid tissue. Western blot was used to detect the protein expression of Fas， FADD， Caspase-8， Caspase-3， cleaved Caspase-8， and cleaved Caspase-3 in thyroid tissue， and the immunohistochemical method was used to detect the protein expression of Fas and Caspase-3 in thyroid tissue. ResultCompared with control group， there were more positive expressions of apoptotic cells in model group under fluorescence microscope， and the expressions of Fas， FADD， Caspase-8， Caspase-3， cleaved Caspase-8 and cleaved Caspase-3 were significantly increased （P<0.05， P<0.01）. Compared with model group， the positive expression of thyroid apoptotic cells in each administration group was decreased under fluorescence microscope， and the expressions of Fas， FADD， Caspase-8， Caspase-3， cleaved Caspase-8， cleaved Caspase-3 were significantly decreased （P<0.05， P<0.01）. ConclusionBuzhong Yiqitang can effectively improve thyroid cell apoptosis and inflammatory injury in AIT mice. The mechanism may be related to the inhibition of Fas/FADD/Caspase-8 signaling pathway.

Objective To use the Internet of things based early warning model of lung cancer to perform early lung cancer screening among chronic obstructive pulmonary disease(COPD)patients in Lishui City.Methods Patients with COPD diagnosed in our hospital from July 2021 to June 2022 underwent plain chest CT,and the 300 patients who had lung nodules detected and agreed to participate in the study were completed with lung nodule target scan + two-and three-dimensional reconstruction to detect gene polymorphisms of CYP1A1,GST and XRCC1 and mirna130a and mir204-5p in peripheral blood.Asked to wear smart hand ring for 10 hours every day while awake from July 2022 to September 2022 to detect vital signs and exercise volume.Review lung nodule target scan + two three dimensional reconstruction in October 2022.If the nodules were larger than before,the patient was truthfully informed of the results.The patient and the specialist of our hospital discussed whether to carry out lung puncture for pathology.Patients with pathologically confirmed lung cancer were progression group and the rest were stable group.Results Totally 240 patients were in the stable group,48 patients were in the progression group,12 patients continued to follow-up after consultation by physicians.There were significant differences in adiposity,mean oximetry,nadir oximetry,forced vital capacity(FVC)predicted,exercise capacity,and lung nodule diameter between the two groups.The expression levels of peripheral mirna-130a,mirna-204-5p were significantly different between the two groups(P<0.001).There were significant differences in CYP1A1,GST,and XRCC1 genotypes in peripheral blood between stable and progressive patients.The areas under the receiver operating characteristic(ROC)curves were mean oxygen saturation(0.681),lowest oxygen saturation(0.735),FVC predicted(0.781),exercise(0.835),lung nodule length diameter(0.825),peripheral blood mirna-130a(0.796),mirna-204-5p(0.893).Conclusion The Internet of things based early warning model for lung cancer can be used for lung cancer screening among COPD patients.