[Retrospective analysis of diagnosis and treatment of tuberculosis in designated medical institutions in China from 2017 to 2022].

Objective: To understand the status of tuberculosis diagnosis and treatment capacity and the development and changes of tuberculosis diagnosis and treatment in provincial and municipal designated medical institutions in China from 2017 to 2022, so as to provide a basis for the formulation of relevant policies for the improvement and development of designated medical institutions for tuberculosis and the tuberculosis prevention and treatment service system, and to provide reasonable support for further strengthening the capacity of designated medical institutions for tuberculosis. Methods: This study was initiated and carried out by Beijing Chest Hospital affiliated to Capital Medical University/Clinical Center for Tuberculosis Prevention and Control of China CDC (hereinafter referred to as "Clinical Center") by means of questionnaire survey, and the investigation was carried out from March to November 2023. During this period, the clinical center distributed questionnaires to the hospital member units of "Beijing Tuberculosis Diagnosis and Treatment Technology Innovation Alliance", retrospectively collected their tuberculosis-related diagnosis and treatment data from 2017 to 2022, and used descriptive statistical methods to analyze the number of tuberculosis beds, outpatients and hospitalizations in medical institutions. The results were expressed in absolute numbers (percentages), and three-line tables, bar charts and line charts were drawn to describe the analysis results and changing trends. Results: The 54 medical institutions surveyed in this survey included 21 provincial-level designated medical institutions and 33 prefecture-level designated medical institutions. Most medical institutions have set up clinical departments, auxiliary departments and functional departments to undertake public health tasks of infectious diseases. The tuberculosis laboratory in the hospital has a comprehensive ability and has the detection technology needed for most tuberculosis diagnosis; The number of tuberculosis beds, children's tuberculosis beds and ICU beds all showed an increasing trend from 2017 to 2022. The proportion of tuberculosis beds in the hospital decreased slightly, from 39.31% in 2017 to 34.76% in 2022, showing a slight downward trend. Compared with the hospital surveyed, the number of tuberculosis outpatients in 2019 was 562 029, and the number of outpatients in 2020-2022 was 462 328, 519 630 and 424 069 respectively, which was significantly lower than that in 2019. The number of tuberculosis outpatients in medical institutions decreased significantly from 2020 to 2022. By analyzing the proportion of patients with different types of tuberculosis, the proportion of sensitive tuberculosis outpatients in 2017-2022 decreased from 84.49% in 2017 to 78.05% in 2022, showing a downward trend year by year. The proportion of patients with multidrug-resistant/ rifampin-resistant tuberculosis increased from 2.03% in 2017 to 7.18% in 2022. From 2017 to 2019, the total number of inpatients with tuberculosis showed an upward trend. Compared with 2019, the number of inpatients in 2020, 2021 and 2022 showed a downward trend, and the decline in 2020 was large (down 14.94% compared with 2019). Among the inpatients, the absolute number and proportion of patients with sensitive pulmonary tuberculosis remained relatively stable, and the number and proportion of inpatients with multidrug-resistant/rifampin-resistant pulmonary tuberculosis increased year by year. Conclusions: Most medical institutions have the capacity to carry out routine diagnosis and treatment of tuberculosis, but the public health function needs to be strengthened. The transformation of medical institutions requires proper guidance and adequate support. During 2019-2022, most medical institutions were affected by the COVID-19 epidemic, and their tuberculosis diagnosis and treatment work also changed to varying degrees. During this period, hospitals took various measures to overcome difficulties and tried their best to maintain the normal development of tuberculosis diagnosis and treatment, and the tuberculosis diagnosis and treatment work of various institutions gradually resumed in 2022.

[In vitro activity of ß-lactamase inhibitors avibanvctam and relebactam in combination with ß-lactams against multidrug-resistant Mycobacterium tuberculosis and mutations of resistance genes].

Objective: To evaluate the activity of six ß-lactams in combination with three ß-lactamase inhibitors against mycobacterium tuberculosis(MTB) in vitro. Methods: A total of 105 multidrug-resistant tuberculosis (MDR-TB) strains from different regions of Henan province from January to September 2020 were included in this study. Drug activity of six ß-lactams (biapenem, meropenem, imipenem, doripenem, ertapenem and tebipenem) alone or in combination with ß-lactamase inhibitors (clavulanic acid, avibactam and relebactam) was examined by minimum inhibitory concentration method (MICs) against 105 clinical isolates. Mutations of blaC, ldtmt1 and ldtmt2 were analyzed by PCR and DNA sequencing. Chi-square test was used to compare the antimicrobial activities of different ß-lactam drugs. Results: Out of the ß-lactams used herein, tebipenem was the most effective against MDR-TB and had an MIC50 value of 8 mg/L(χ2=123.70,P=0.001). Besides, after the addition of ß-lactamase inhibitors, the MICs of most ß-lactam drugs were reduced more evidently in the presence of avibactam and relebactam compared to clavulanic acid.Especially, relebactam decreased both the MIC50 and MIC90 of telbipenem by 16-fold, and diluted the MIC of 23 (21.90%) and 41 (39.04%) isolatesby 32-fold and 16-fold.In addition, a total of 13.33% (14/105) of isolates harbored mutations in the blaC gene, with three different nucleotide substitutions: AGT333AGG, AAC638ACC and ATC786ATT. For the strains with Ser111Arg and Asn213Thr substitution in BlaC, the MIC values of the meropenem-clavulanate combination were reduced compared with a synonymous single nucleotide polymorphism (SNP) group. Conclusions: Both avibactam and relebactam had better synergistic effects on ß-lactams than clavulanic acid. The combination of tebipenem and relebactam showed the most potent activity against MDR-TB isolates. In addition, the Ser111Arg and Asn213Thr substitution of BlaC may be associated with an increased susceptibility of MDR-TB isolates to meropenem in the presence of clavulanate.

Transfer inhibitory potency prediction to binary classification: A model only needs a small training set.

One of the most laborious for drug discovery is to select compounds from a library for experimental evaluation. Hence, we propose a machine learning model only needs to be trained on a small dataset to predict the inhibition constant (Ki) and half maximal inhibitory concentration (IC50) for a compound. We transfer the prediction task to a simpler binary classification task based on a naive but effective idea that we only need the related rank of a compound to determine whether to take it for further examination. To achieve this, we design a data augmentation strategy to effectively leverage the relationship between the compounds in the training set. After that, we formulate a new reward function for deep reinforcement learning to balance the feature selection and the accuracy. We employ a particle swarm optimized support vector machine for the binary classification task. Finally, a soft voting mechanism is introduced to solve the contradiction from the binary classification. Sufficient experiments show that our model achieves high and reliable accuracy, and is capable of ranking compounds based on a selected set of molecular descriptors. The current results show that our model provides a potential ligand-based in silico approach for prioritizing chemicals for experimental studies.

[Comparison of the efficacies of cross priming amplification and RealAmp with XpertMTB/RIF for the diagnosis of pulmonary tuberculosis at peripheral microscopic center].

Objective: To compare the efficacies of cross priming amplification (CPA) and RealAmp with XpertMTB/RIF for the diagnosis of pulmonary tuberculosis(TB) at peripheral microscopic centers. Methods: From December of 2014 to December of 2015, 3 193 patients suspected with TB were enrolled consecutively at 3 county level TB clinical clinics in Zhongmu, Xinmi and Dengzhou of Henan province. Totally 3 193 collected sputum samples were detected by smear microscopy, L-J media culture, CPA, RealAmp and Xpert MTB/RIF. The culture positive samples were tested by MPB64 for strain identification. The sensitivity and specificity of CPA, RealAmp and Xpert MTB/RIF were calculated according to L-J solid culture results and clinical diagnosis results. Results: The sensitivity of CPA, RealAmp and Xpert MTB/RIF were 85.5%(413/483), 85.5%(413/483) and 87.9%(422/480), respectively, compared with L-J solid culture, the difference among the 3 methods being not significant(χ(2)=1.6, P>0.05). The specificity of CPA, RealAmp and Xpert MTB/RIF were 96.8%(2 624/2 170), 93.2%(2 527/2 170) and 95.3%(2 567/2 170) compared with culture; and there was a significantly statistic difference among the 3 methods(χ(2)=37.8, P<0.001). The sensitivity of smear microscopy, culture, CPA, RealAmp and Xpert MTB/RIF was 21.7%(300/1 383), 34.9%(483/1 383), 34.6%(478/1 383), 39.2%(542/1 383) and 38.1%(526/1 381) compared with clinical diagnosis. The sensitivity of CPA, RealAmp and Xpert MTB/RIF was higher than that of smear (χ(2) =31.9, P<0.01), but there was no significantly statistic difference between the 3 molecular methods(χ(2)=2.9, P>0.05). The specificity of smear microscopy, L-J solid culture, CPA, RealAmp and Xpert MTB/RIF was 100%(1 810/1 810), 100%(1 810/1 810), 98.8%(1 789/1 810), 98.8%(1 756/1 810) and 97.0%(1 788/1 810), and there was no significantly statistic difference among the 3 molecular methods(χ(2)=0.16, P>0.05). Conclusion: The capability of CPA and RealAmp for diagnosing pulmonary TB was similar to Xpert MTB/RIF.The former 2 methods were more suitable to apply to the diagnoses of pulmonary TB in peripheral laboratories.

Structure-property relationships from universal signatures of plasticity in disordered solids.

When deformed beyond their elastic limits, crystalline solids flow plastically via particle rearrangements localized around structural defects. Disordered solids also flow, but without obvious structural defects. We link structure to plasticity in disordered solids via a microscopic structural quantity, "softness," designed by machine learning to be maximally predictive of rearrangements. Experimental results and computations enabled us to measure the spatial correlations and strain response of softness, as well as two measures of plasticity: the size of rearrangements and the yield strain. All four quantities maintained remarkable commonality in their values for disordered packings of objects ranging from atoms to grains, spanning seven orders of magnitude in diameter and 13 orders of magnitude in elastic modulus. These commonalities link the spatial correlations and strain response of softness to rearrangement size and yield strain, respectively.

Magnetic mediation effect of a C impurity in a Mn-doped Zn12O12 nanocluster: a case of multiple exchange interactions.

The stability and exchange interaction mechanism of a doped Zn12O12 cluster with Mn and C atoms were investigated by first-principles calculations. For the Mn-doped Zn12O12 cluster, it is identified that a superexchange interaction deriving the hybridization between the Mn 3d(2/x)-2/y and O 2p(xy) orbitals dominates the Mn(↑)-Mn(↓) antiferromagnetic coupling, although a direct exchange interaction deriving the Mn-Mn bonding is also found. In order to turn the Mn spin state in the Mn-doped Zn12O12 cluster, C doping is undertaken to change the magnetic interactions of these impurities. It is proved that the C incorporation into the Mn-doped Zn12O12 cluster destroys the short-ranged antiferromagnetic coupling, where multiple exchange interactions take over, including the direct exchange interaction and the kinetic p-d exchange interaction partially due to the geometric distortion and surface effect with dangling bonds (sp(2)-like hybrids). It is concluded that the kinetic p-d exchange interaction plays a dominant role in Mn/C-doped Zn12O12 clusters.

Endometrial cancer metastasize to the skin of lower leg and vagina: case report and literature review.

Endometrial cancer is the most frequent malignancy of the female reproductive system, while cutaneous metastasis is extremely rare in endometrial cancer. The authors herein report a case ofendometrial adenocarcinoma (FIGO Stage IIIC2, Grade 2) with metastasis to the skin of right lower leg and vaginal orifice. The patient was treated with local excision and combination chemotherapy, but she did not respond to therapy and died within 11 months. The authors reviewed the clinico-pathologic features, treatment, and prognosis of such case with cutaneous metastasis.

Dynamical (e,2e) studies of tetrahydrofurfuryl alcohol.

Cross section data for electron scattering from DNA are important for modelling radiation damage in biological systems. Triply differential cross sections for the electron impact ionization of the highest occupied outer valence orbital of tetrahydrofurfuryl alcohol, which can be considered as an analogue to the deoxyribose backbone molecule in DNA, have been measured using the (e,2e) technique. The measurements have been performed with coplanar asymmetric kinematics at an incident electron energy of 250 eV, an ejected electron energy of 20 eV, and at scattered electron angles of -5°, -10°, and -15°. Experimental results are compared with corresponding theoretical calculations performed using the molecular 3-body distorted wave model. Some important differences are observed between the experiment and calculations.

Molecular epidemiological features of Mycobacterium tuberculosis in an endemic region of Henan Province, China.

Henan Province is one of the regions with the highest tuberculosis (TB) burden in China. Among isolates collected from Zhongmou County, Henan, 21.28% (10/47) of those from 2001 and 22.95% (10/61) from 2007 were resistant to at least one drug (isoniazid, rifampicin, ethambutol or streptomycin); 90.74% (98/108) of the isolates were from the Beijing family, and 108 exhibited 105 different mycobacterial interspersed repetitive units-variable number of tandem repeats patterns. This study preliminarily reveals that Henan Province is still a high prevalence region for drug-resistant TB, and strains collected from local TB cases have diverse genotypes, of which the Beijing family type is predominant.