ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Objective To analyze the microflora structure and abundance of ileum and colon of SPF male SD rats by high-throughput sequencing technique. MethodsThe ileal and colonic lumen contents of 30 SPF male SD rats were collected, the total bacterial DNA in the contents was extracted and amplified by PCR. The V3-V4 region of bacterial 16S rRNA in the samples was sequenced using Illumina NovaSeq sequencing platform. Then the species structure and abundance of the intestinal flora were analyzed at the phylum and genus level based on validated data. The diversity and differences between ileal and colonic flora were analyzed using the QIIME software (amplicon) analysis tool. The Tax4Fun program was applied to predict the dominant gene enrichment pathways of ileal and colonic flora. ResultsAt the phylum level, the dominant microflora in the ileum of male SD rats were Firmicutes and Actinobacteria, accounting for more than 98%. The dominant colonic microbial community were mainly Firmicutes and Bacteroidetes, accounting for more than 95%. At the genus level, Lactobacillus and Alistipes were the predominant bacteria in the ileum. The colon was dominated by Lactobacillus and Romboutsia. In terms of flora diversity, the alpha diversity of colonic flora including richness index (Chao1 index) and diversity index (Shannon index) were significantly higher than those of ileum (P < 0.01), and the structural variability of the composition of its flora species was smaller than that of ileum; the ileal flora with significant structural variability were mainly of the phylum Firmicutes, Romboutsia, Peptostreptococcaceae, while the colonic flora had significant structural differences in Bacteroidales. In terms of flora function, the ileal flora dominant genes were significantly enriched in lipid-like metabolism, polyketide metabolism, membrane transport, biodegradation and other pathways, while the colonic flora dominant genes were significantly enriched in glycan biosynthesis metabolism, energy metabolism, biosynthesis of cofactor and vitamins and other products, and other pathways. ConclusionThere are significant differences in structure and abundance between the ileal and colonic flora of SPF male SD rats, and the abundance and diversity of colonic flora are higher than those of ileal flora.

Objective:To investigate the distribution of pathogenic bacteria of bloodstream infection after chemotherapy in patients with acute leukemia (AL), to analyze the risk factors for the occurrence of adverse events and to construct a nomogram model to predict the occurrence of adverse events.Methods:The clinical data of 313 AL patients with bloodstream infection who were admitted to the First Hospital of Jilin University from January 2018 to December 2020 were retrospectively analyzed, and the incidence, fatality and distribution characteristics of pathogenic bacteria after chemotherapy in AL patients were analyzed; the occurrence of adverse events (death or infectious shock) in patients with different clinicopathological characteristics were compared. Unconditional logistic binary regression model multifactor analysis was used to screen independent risk factors for the occurrence of adverse events in AL patients with bloodstream infection after chemotherapy; the nomogram model for predicting the occurrence of adverse events was developed by using R software; the Hosmer-Lemeshow test was used to verify the predictive effect of the model.Results:Of the 313 AL patients, the overall fatality rate was 4.2% (13/313), the all-cause fatality rate of bloodstream infection was 3.5% (11/313). Of the 313 cases, 254 cases (81.1%) were Gram-negative bacteria infection, mainly including 115 cases (45.3%) of Escherichia coli, 80 cases (31.5%) of Klebsiella pneumoniae, and 29 cases (11.4%) of Pseudomonas aeruginosa, and 10 cases (3.9%) died; 51 cases (16.3%) were Gram-positive cocci infection, mainly including 22 cases (43.1%) of Streptococcus spp., 20 cases (39.2%) of Staphylococcus spp., 7 cases (13.7%) of Enterococcus faecalis, and 0 case died; 8 cases (2.6%) were fungal infection, including 4 cases (1.3%) of Candida tropicalis, 2 cases (0.6%) of Candida subsmoothis, 1 case (0.3%) of Candida smooth, 1 case (0.3%) of new Cryptococcus, and 3 cases (37.5%) died. The differences in the occurrence rates of adverse events were statistically significant when comparing different treatment stage, risk stratification, timing of sensitive antibiotic use, total duration of fever, and glucocorticoid use in chemotherapy regimen, infecting bacteria carbapenem resistance, and leukemia remission (all P < 0.05). The results of logistic binary regression analysis showed that the use of glucocorticoid in chemotherapy regimen, the total duration of fever ≥7 d, the timing of sensitive antibiotic use ≥24 h, and carbapenem resistance of the infecting bacteria were independent risk factors for the occurrence of adverse events in AL patients with bloodstream infection after chemotherapy (all P < 0.05). A nomogram prediction model for the occurrence of adverse events in AL patients with bloodstream infection was established, and the nomogram model was calibrated and validated with good calibration and discrimination. Conclusions:The pathogenic bacteria of bloodstream infection after chemotherapy in AL patients is mainly Gram-negative bacteria, and the presence of glucocorticoid in chemotherapy regimen, long total duration of fever, poor timing of sensitive antibiotics, and infecting bacteria carbapenem resistance are risk factors for the occurrence of adverse events in AL patients with bloodstream infection after chemotherapy, and the nomogram prediction model based on these factors has a reliable predictive ability for the occurrence of adverse events.

Objective:To investigate the efficiency and pharmacoeconomics of pegylated recombinant human granulocyte colony-stimulating factor (PEG-rhG-CSF) for mobilization of peripheral blood stem cells (PBSCM) in patients with multiple myeloma (MM).Methods:The data of 91 patients with newly treated MM who were hospitalized in the First Hospital of Jilin University and Institute of Hematology & Blood Diseases Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College from January 2015 to October 2017 were retrospectively analyzed. According to the patient's wishes, a high-dose chemotherapy combined with subcutaneous injection of PEG-rhG-CSF or recombinant human granulocyte colony-stimulating factor (rhG-CSF) was used for stem cell mobilization in 42 and 49 patients, respectively. The number of mononuclear cells (MNC) and CD34 + cells collected after mobilization, the maximum absolute neutrophil count (mANC), the cost of mobilization, and the engraftment time of white blood cells and platelets after transplantation were compared between the two groups. Results:The median number of MNC collected after mobilization in the PEG-rhG-CSF group and rhG-CSF group were 5.86×10 8/kg [(1.08-24.54)×10 8/kg] and 6.61×10 8/kg [(0.83-33.80)×10 8/kg], and the difference was not statistically significant ( U = 883.00, P = 0.245); while the median number of CD34 + cells collected after mobilization in the PEG-rhG-CSF group was higher than that in the rhG-CSF group [5.56×10 6/kg (0.94-19.90)×10 6/kg and 4.82×10 6/kg (1.12-14.61)×10 6/kg], and the difference was statistically significant ( U = 732.00, P = 0.038). The median number of mANC during mobilization in the PEG-rhG-CSF group was lower than that in the rhG-CSF group [20.50×10 9/L (7.26-61.30)×10 9/L and 32.08×10 9/L (6.92-69.99)×10 9/L], and the difference was statistically significant ( U = 490.00, P = 0.001). After autologous stem cell transplantation (ASCT), the time-to-recovery of white blood cell count (WBC) to 1.0×10 9/L in the PEG-rhG-CSF group was shorter than that in the rhG-CSF group [(11.59±1.98) d vs. (12.93±2.83) d], and the difference was statistically significant ( t = -2.395, P = 0.019), and the time-to-recovery of platelet count (Plt) to 20.0×10 9/L in the PEG-rhG-CSF group was also shorter than that in the rhG-CSF group [(12.86±2.62) d vs. (14.80±5.47) d], but the difference was not statistically significant ( t = -1.749, P = 0.085). The total mobilization cost of the PEG-rhG-CSF group was not statistically different from that of the rhG-CSF group [(21 405.47±7 365.98) yuan vs. (22 976.83±10 264.34) yuan, t = -0.721, P = 0.474]. Conclusions:PEG-rhG-CSF combined with high-dose chemotherapy is an effective option for PBSCM in MM patients, and its mobilization cost is equivalent to rhG-CSF. Therefore, PEG-rhG-CSF may be a better choice for PBSCM in MM patients.

Objective: To investigate the clinical features, diagnosis, occurrence sequence and clonal origin of chronic lymphocytic leukemia complicated with multiple myeloma. Methods: The diagnosis and treatment of one patient with multiple myeloma and chronic lymphocytic leukemia who was admitted to the First Hospital of Jilin University in May 2018 was retrospectively analyzed, and the related literatures were reviewed. Results: This patient began with lumbosacral pain, and he was diagnosed as chronic lymphocytic leukemia complicated with multiple myeloma after bone marrow aspiration, flow cytometry, and blood and urine immunofixation electrophoresis. It is recommended that Rd (lenalidomide + dexamethasone) or MPV (melphalan + prednisone + bortezomib) regimen, but the patient did not receive chemotherapy and died of infectious diarrhea 1 month later. Conclusions The occurrence of multiple myeloma and chronic lymphoblastic leukemia may originate from the same clone or different new clone. It is very rare that multiple myeloma and chronic lymphoblastic leukemia can co-occur. Therapeutic options tend to be more aggressive multiple myeloma-based regimen.

Objective: To evaluate the prognostic significance of combining ISS-Ⅲ and high risk cytogenetic abnormalities [HRCAs, including 1q gain/amplification and del (17p) ] in patients with newly-diagnosed multiple myeloma (NDMM) . Methods: The clinical characteristics and relevant variables were retrospectively analyzed in a total of 270 NDMM patients diagnosed between November 2009 and May 2018. ISS-Ⅲ stage and HRCAs [detected by FISH, including 1q gain/amplification and del (17p) ] were defined as risk factors (hit) . Based to the number of hit per case, these patients were divided into four groups carrying 0 to 3 risk factors, respectively. Progress-free survival (PFS) and overall survival (OS) were then analyzed using the Kaplan-Meier estimator. Results: Patients who carried single hit (n=120, 44.4%) had shorter median PFS (23.0 vs 28.9 months; P>0.05) and OS (42.3 vs 53.7 months; P>0.05) than those with no risk factors (n=66, 24.4%) . Of note, the outcome of patients who had two or more risk factors (double/triple, n=84, 31.1%) was much worse than those with either no or one risk factor, indicated by significantly reduced median PFS (14.5 months; HR=1.584, 95%CI 1.082-2.319; P=0.003 for double/triple vs single hit) and OS (18.4 months, HR=2.299, 95%CI 1.485-3.560; P<0.001 for double/triple vs single hit) . Strikingly, patients who had three risk factor (triple hit, n=5, 1.9%) displayed the poorest survival with extraordinarily shorter PFS (0.9-15.1 months) and OS (0.9-18.9 months) compared to those carrying two risk factors (double hit) . Analogous results were obtained when different combinations of ISS stages and HRCAs were analyzed. Conclusion These results suggest a potential but rather important role of combining multiple (e.g. double or triple) adverse factors determined via the routine ISS staging and FISH detection of cytogenetic abnormalities in risk stratification and prognostic prediction, which might be helpful to identify high risk patients more precisely at diagnosis. It also raised a possibility that a small group of ISS-Ⅲ patients carrying both 1q gain/amplification and del (17p) might represent an "extremely-high risk" subset of MM.

Objective: To evaluate the prognostic value of kinetic changes in minimal residual disease (MRD) status, as well as its relationship with risk stratification, therapeutic response and treatment in patients with newly-diagnosed multiple myeloma (MM) . Methods: A total of 135 patients with newly-diagnosed MM were screened, and 105 patients who achieved VGPR or more as the best responses were included into this study. The MRD status was determined by multiparameter flow cytometry (MFC) at multiple intervals after two cycles of treatment until clinical relapse, death, or last follow-up. The statistical methods included Kaplan-Meier analysis, Cox regression, etc. Results: ①In all 135 patients, 57.8% (78/135) patients achieved MRD negativity (MRD^-) after treatment. In 105 patients who achieved VGPR and thus included in this study, the MRD^- rate was 72.4% (76/105) , with a median interval of 3 months from starting treatment to achievement of MRD^- status. ②The 2-year PFS rate of patients with MRD^- status was significantly higher than that of MRD⁺ status (62.2% vs 41.3%, P=0.001) , while MRD persistence (MRD⁺) was an independent factor for poor prognosis (multivariate analysis for PFS: P=0.044, HR=3.039, 95%CI 1.029-8.974) . ③Loss of MRD^- status (i.e., MRD reappearance) showed inferior outcomes compared with MRD sustained negative ones, the PFS was 18 months versus not reach (P<0.001) and the OS was not reach for both (P=0.002) . ④The 2-year PFS and OS rates of patients with duration of MRD^-status≥12 months were significantly higher than those of the control group (PFS: 77.7% vs 36.7%, P<0.001; OS: 96.4% vs 57.9%, P<0.001 respectively) . Duration of MRD^- status was associated with a marked reduction in risk of relapse or death (univariate analysis for PFS: P<0.001, HR=0.865, 95%CI 0.815-0.918; for OS: P=0.001, HR=0.850, 95%CI 0.741-0.915 respectively) . ⑤Moreover, even in patients carrying high-risk cytogenetic abnormalities (CA) or ineligible for ASCT, MRD negativity remained its prognostic value to predict PFS (high-risk CA medianPFS: not reach vs 19 months, P=0.006; ineligible for ASCT medianPFS: not reach vs 25 months, P=0.052 respectively) . ⑥Last, treatment with the bortezomib-based regimens contributed to prolonged MRD^- duration (median MRD^- duratio: 25 months vs 10 months, P=0.034) . Conclusion Our findings supported MRD⁺ status as an independent poor prognostic factor in MM patients, which implicated that duration of MRD^- status also played a significant role in evaluation of prognosis, while loss of MRD^-status might serve as an early biomarker for relapse. Therefore, monitoring of MRD kinetics might more precisely predict prognosis, as well as guide treatment decision, especially for when to start retreatment in relapsed patients.

Objectives: To evaluate the clinical characteristics and prognosis of high risk cytogenetic abnormalities (HRCA) and various combinations of cytogenetic abnormality in patients with newly-diagnosed multiple myeloma (NDMM) . Methods: This retrospective study collected 182 NDMM patients in the First Affiliated Hospital of Jilin University between Nov. 2009 and May 2018. HRCA included 1q+, del (17p) , t (4;14) , and t (14;16) detected by FISH, and non-HRCA included del (13q) , t (11;14) detected by FISH. The clinical characteristics among three groups, including cases who carrying a single HRCA, 1 HRCA in combination with non-HRCA and cases carrying two or more HRCAs (double/triple-hit) were observed. Kaplan-Meier curve was used to analyze both progression-free survival (PFS) and overall survival (OS) for the three groups. Results: The survivals of patients with 1 HRCA in combination with non-HRCA were similar to those with two or more HRCAs (double/triple-hit) , the median PFS (mPFS) was 19.1 m vs 12.1 m (P=0.248) and median OS (mOS) was 29.6 m vs 29.3 m (P=0.774) . Furthermore, the prognosis of these two groups were both inferior to patients with a single HRCA, respectively. (mPFS: 32.2 m, P=0.040, P=0.001; mOS: 42.3 m, P=0.021, P=0.041) . Strikingly, both the mPFS and the mOS of patients with 1 HRCA in combination with non-HRCA (regardless of high risk or not) were significantly shorter than that of cases with a single HRCA (mPFS: 15.1 m vs 32.2 m, HR=2.126, 95%CI 1.176-3.843, P=0.005; mOS: 29.3 m vs 42.3 m, HR=1.442, 95%CI 0.705-2.950, P=0.011) . Conclusion It is of prognostic significance value for detecting double/triple-hit based on FISH cytogenetics in NDMM.

Objective: To investigate the effect of 1q21 amplification (1q) on the therapeutic response and prognosis of bortezomib(Btz) in the treatment of newly diagnosed multiple myeloma (MM) patients. Methods: A total of 180 newly diagnosed MM were included for analyses of clinical characteristics, cytogenetics, objective response rate (ORR), progression-free survival (PFS) and overall survival (OS), retrospectively. Gene expression profiling (GEP) was analyzed using publicly available R2 platform. Results: ① In 180 patients, 1q was found in 51.1% cases. Of them, 174 patients had complete follow-up data, including 88 cases with 1q and 86 without 1q (non-1q). ②Incidence of 1q was positively associated with percentage of IGH rearrangement (72.2%, P=0.017) and 1p deletion (1p) (27.8%, P=0.040). ③ The median PFS was 15.0 and 20.3 months for the 1q group and non-1q group, and the median OS was 29.4 and 44.0 months, respectively. Both PFS and OS of 1q group was significantly shorter than those of the non-1q group (P=0.029 and 0.038, respectively). Multivariate analysis further revealed that 1q was an independent prognostic factor for both PFS (HR=1.910, 95% CI 1.105-3.303, P=0.020) and OS (HR=2.353, 95% CI 1.090-5.078, P=0.029). ④ In 91 evaluable cases with 1q, very good partial remission (VGPR) rate was higher after treatment with Btz than those without Btz (62.1% vs 40.0%, P=0.032). Of note, the patients with 1q who received auto-HSCT after induction with Btz had significantly longer PFS than those without auto-HSCT (19 months vs 13 months, P=0.048). ⑤GEP analysis revealed that 1q21 amplification predominantly up-regulated expression of >50% genes within 1q21 region, and also altered expression of 28% genes in chromosome 1 and 10% genes in whole genome, particularly related to DNA repair and cell cycle. Conclusions 1q is an independent adverse prognostic factor in patients with newly diagnosed MM. It is often associated with 1p deletion and IGH rearrangement. Patients with 1q respond well to Btz-based regimen, but they fail to gain long-term benefit from this treatment itself. However, auto-HSCT following Btz induction might improve survival of patients with 1q, suggesting a potential strategy to treat this high-risk subset of MM. GEP analysis warrants further attention in understanding the mechanisms underlying the high-risk of 1q.