The Impact of Quarantine and Medical Resources on the Control of COVID-19 in Wuhan based on a Household Model

In order to understand how Wuhan curbed the COVID-19 outbreak in 2020, we build a network transmission model of 123 dimensions incorporating the impact of quarantine and medical resources as well as household transmission. Using our new model, the final infection size of Wuhan is predicted to be 50,662 (95%CI: 46,234, 55,493), and the epidemic would last until April 25 (95%CI: April 23, April 29), which are consistent with the actual situation. It is shown that quarantining close contacts greatly reduces the final size and shorten the epidemic duration. The opening of Fangcang shelter hospitals reduces the final size by about 17,000. Had the number of hospital beds been sufficient when the lockdown started, the number of deaths would have been reduced by at least 54.26%. We also investigate the distribution of infectious individuals in unquarantined households of different sizes. The high-risk households are those with size from two to four before the peak time, while the households with only one member have the highest risk after the peak time. Our findings provide a reference for the prevention, mitigation and control of COVID-19 in other cities of the world.

Anomalous Josephson current through a topological noncoplanar ferromagnetic trilayer

We present an anomalous Josephson effect in a TI-based Josephson junction with a ferromagnetic insulator (FI) trilayer which has noncoplanar magnetizations. It is shown that there exist equal fractional spin-singlet and -triplet correlations due to the magnetism-tuning chiral Dirac energy band structure. The consequent anomalous Josephson supercurrent is exhibited, in which a 0-πor similar 0-πstate transition through phase shift is induced only by exchange field strength of the first FI region, while theϕ₀supercurrent and the maximum one gradually drop with the increase of exchange field strengths of the second and third FI regions without relative state transitions. With the increase of the FI region length, theϕ₀supercurrent and the maximum one are also both decreased, are found, which is different from the situation for increasing the exchange filed strength. In addition, the corresponding free energies are presented and discussed.

[Detection of drug resistance genes of mycobacterium tuberculosis by rolling circle amplification technique with multicolor fluorescent probes]

The aim of this study was to construct a simple, rapid and ultra-sensitive optical biosensing technique based on rolling circle amplification (RCA), and to apply it to multiple detection of drug-resistant genes of mycobacterium tuberculosis. The common mutation sites of isoniazid, rifampicin and streptomycin resistance genes are katG315 (AGC➝ACC), rpoB531 (CAC➝TAC) and rpsL43 (AAG➝AGG). For these three gene sites, from February 2020 to May 2021, in the Department of Laboratory Medicine of the First Affiliated Hospital of Army Military Medical University, the padlock probe (PLP), primers and capture probes were designed. And a solid-phase RCA constant temperature amplification reaction system based on magnetic beads was constructed and the experimental parameters were optimized. The RCA products were accurately captured by the multicolor fluorescent probes (Cy3/Cy5/ROX), and the single-tube multiple detection of three mutation genes was realized. The sensitivity, specificity and linear range of this method were further verified. The results showed that the response range of katG315 in the same reaction system ranged from 1.0 pmol/L to 0.1 nmol/L. The response range of rpoB531 and rpsL43 ranged from 1.0 pmol/L to 50.0 pmol/L and 1.0 pmol/L to 20.0 pmol/L, and the method had good specificity and sensitivity, and could accurately identify single base mutations in mixed targets, with the minimum detection limit as low as 1.0 pmol/L. The recoveries of simulated serum samples were 95.0%-105.2%. In conclusion, the constant temperature amplification multiple detection method constructed in this study can quickly realize the single-tube multiple detection of three drug resistance mutation sites. This technology is low-cost, simple and rapid, and does not rely on large equipment, providing a new analysis method for pathogen drug resistance gene detection.

On the basic reproduction number in semi-Markov switching networks

Basic reproduction number R0 in network epidemic dynamics is studied in the case of stochastic regime-switching networks. For generality, the dependence between successive networks is considered to follow a continuous time semi-Markov chain. R0 is the weighted average of the basic reproduction numbers of deterministic subnetworks. Its position with respect to 1 can determine epidemic persistence or extinction in theories and simulations.

[The efficacy and safety of ticagrelor versus clopidogrel in elderly patients with acute coronary syndrome undergoing percutaneous coronary intervention]

Objective: To compare the efficacy and safety of ticagrelor and clopidogrel in elderly Chinese patients with acute coronary syndrome (ACS) underwent percutaneous coronary intervention (PCI) in the real world. Methods: This study is a post-hoc analysis of a single center, retrospective cohort study. Between March 2016 and March 2018, elderly (age≥65) ACS patients who underwent PCI in the General Hospital of Northern Theater Command were included in the study. The patients were grouped according to P2Y₁₂ receptor inhibitor. The primary endpoints of this study were ischemic events during the 2-year follow-up, which were defined as the composite of cardiac death, myocardial or stroke. The secondary efficiency endpoints included all-cause death and BARC 2, 3, 5 bleeding events. Results: A total of 4 022 elderly (mean age: (71.5±5.3) years) ACS patients were included in this study. Based on the choice of P2Y₁₂ receptor inhibitor, patients were divided into clopidogrel (n=3 201) and ticagrelor (n=821) groups. Incidences of ischemic events (3.2% (26/821) vs. 5.6% (179/3 201), P=0.005) at 2 years were significantly lower in ticagrelor group compared to clopidogrel group. BARC 2, 3, 5 bleeding events (1.7% (14/821) vs. 1.6% (52/3 201), P=0.818) were comparable between the two groups. The incidence of all-cause death (1.5% (12/821) vs. 4.1% (132/3 201), P=0.005) were also lower in the ticagrelor group compared to the clopidogrel group. Clinical outcomes were consistent after adjusting for confounding factors, the incidence of ischemic events (HR= 0.637, 95%CI 0.409-0.991, P=0.046) and all-cause mortality (HR=0.402, 95%CI 0.213-0.758, P=0.005) was significantly lower in the ticagrelor group compared with the clopidogrel group. Risk of BARC 2, 3, 5 bleeding events were similar between the two groups (HR=0.957, 95%CI 0.496-1.848, P=0.897). Conclusion: In real-world clinical practice, for elderly patients with ACS undergoing PCI, ticagrelor use might reduce the incidence of long-term ischemic events and all-cause death without increasing the risk of bleeding.

[A predictive model based on risk factors for early mortality in patients with newly diagnosed multiple myeloma]

目的

分析影响初治多发性骨髓瘤（NDMM）患者早期死亡（EM）的因素，建立其预测模型，以期识别EM风险。

方法

回顾性分析2009年5月至2017年1月吉林大学白求恩第一医院收治的275例NDMM患者，对6个月（EM6）、12个月（EM12）及24个月（EM24）内死亡患者初诊时基线特征进行单因素分析，并根据多因素分析结果建立EM的预测模型。

结果

本研究中EM6、EM12及EM24的发生率分别是5.5%、12.7%和30.2%；最常见的死亡原因为疾病复发/进展，在EM6、EM12及EM24中分别占60.0%、77.1%及84.3%。影响EM6的因素包括经白蛋白校正的血清钙（校正钙）>2.75 mmol/L和PLT<100×10⁹/L；影响EM12的因素包括年龄>75岁、国际分期系统（ISS） Ⅲ期、修订版国际分期系统（R-ISS） Ⅲ期、校正钙>2.75 mmol/L、血清肌酐>177 µmol/L、PLT<100×10⁹/L及骨髓浆细胞比例≥60%；影响EM24的因素中，除上述影响EM12的因素外，还包括男性和染色体核型1q+。多因素分析尚未发现EM6和EM12的独立预后因素。在EM24的多因素分析中，年龄>75岁、PLT<100×10⁹/L和染色体核型1q+是EM24的独立预后因素。根据Logistic回归系数赋分：年龄>75岁：1分；PLT<100×10⁹/L：2分；染色体核型1q+：1分，建立EM24预测模型，ROC曲线下面积为0.709（95%CI 0.626~0.793）。积分≥3分的患者24个月内死亡风险是0~2分患者的26倍，积分0~4分的NDMM患者中位总生存期分别为59、41、22、17.5及16个月（P<0.001）。

结论

年龄>75岁、PLT<100×10⁹/L和染色体核型1q+为EM24的独立预后因素，依据上述变量构建的EM24预测模型有助于识别EM风险和预测生存，具有较好标准度与区分度。

Epidemic models with discrete state structures

The state of an infectious disease can represent the degree of infectivity of infected individuals, or susceptibility of susceptible individuals, or immunity of recovered individuals, or a combination of these measures. When the disease progression is long such as for HIV, individuals often experience switches among different states. We derive an epidemic model in which infected individuals have a discrete set of states of infectivity and can switch among different states. The model also incorporates a general incidence form in which new infections are distributed among different disease states. We discuss the importance of the transmission-transfer network for infectious diseases. Under the assumption that the transmission-transfer network is strongly connected, we establish that the basic reproduction number R 0 is a sharp threshold parameter: if R 0 ≤ 1 , the disease-free equilibrium is globally asymptotically stable and the disease always dies out; if R 0 > 1 , the disease-free equilibrium is unstable, the system is uniformly persistent and initial outbreaks lead to persistent disease infection. For a restricted class of incidence functions, we prove that there is a unique endemic equilibrium and it is globally asymptotically stable when R 0 > 1 . Furthermore, we discuss the impact of different state structures on R 0 , on the distribution of the disease states at the unique endemic equilibrium, and on disease control and preventions. Implications to the COVID-19 pandemic are also discussed.

Modeling the Effects of Latency Reversing Drugs During HIV-1 and SIV Brain Infection with Implications for the "Shock and Kill" Strategy

Combination antiretroviral therapy (cART) has greatly increased life expectancy for human immunodeficiency virus-1 (HIV-1)-infected patients. Even given the remarkable success of cART, the virus persists in many different cells and tissues. The presence of viral reservoirs represents a major obstacle to HIV-1 eradication. These viral reservoirs contain latently infected long-lived cells. The "Shock and Kill" therapeutic strategy aims to reactivate latently infected cells by latency reversing agents (LRAs) and kill these reactivated cells by strategies involving the host immune system. The brain is a natural anatomical reservoir for HIV-1 infection. Brain macrophages, including microglia and perivascular macrophages, display productive HIV-1 infection. A mathematical model was used to analyze the dynamics of latently and productively infected brain macrophages during viral infection and this mathematical model enabled prediction of the effects of LRAs applied to the "Shock and Kill" strategy in the brain. The model was calibrated using reported data from simian immunodeficiency virus (SIV) studies. Our model produces the overarching observation that effective cART can suppress productively infected brain macrophages but leaves a residual latent viral reservoir in brain macrophages. In addition, our model demonstrates that there exists a parameter regime wherein the "Shock and Kill" strategy can be safe and effective for SIV infection in the brain. The results indicate that the "Shock and Kill" strategy can restrict brain viral RNA burden associated with severe neuroinflammation and can lead to the eradication of the latent reservoir of brain macrophages.

[Research progress of polymicrobial synergy and dysbiosis in periodontitis]

Human oral cavity is colonized by various microbial communities which play an important role in the initiation and progression of periodontitis. However, it is still not clear how these microbial communities mediate the disease. With the rise of metagenomics research, polymicrobial synergy and dysbiosis (PSD) model, a new periodontitis pathogenesis mechanism, was proposed. The importance of the microbial communities acting as a whole system in the development of periodontitis is gradually recognized. Host susceptibility, as another key factor in the initiation of the disease, is vital in PSD model. This article reviews the mechanisms of the PSD model and its research progress in periodontitis as well as some other diseases and briefly highlights the positive significance in terms of prevention and treatment of periodontitis in order to provide insights and perspectives for the future periodontal researches.

[Surgical treatment of primary liver cancer:a report of 10 966 cases]

Objective: To summarize the experience of surgical treatment of primary liver cancer. Methods: The clinical data of 10 966 surgically managed cases with primary liver cancer, from January 1986 to December 2019 at Hepatobiliary Center, the First Affiliated Hospital of Nanjing Medical University, were retrospectively analyzed. The life table method was used to calculate the survival rate and postoperative recurrence rate. Log-rank test was used to compare the survival process of different groups, and the Cox regression model was used for multivariate analysis. In addition, 2 884 cases of hepatocellular carcinoma(HCC) with more detailed follow-up data from 2009 to 2019 were selected for survival analysis. Among 2 549 patients treated with hepatectomy, there were 2 107 males and 442 females, with an age of (56.6±11.1) years (range: 20 to 86 years). Among 335 patients treated with liver transplantation, there were 292 males and 43 females, with an age of (51.0±9.7) years (range: 21 to 73 years). The outcomes of hepatectomy versus liver transplantation, anatomic versus non-anatomic hepatectomy were compared, respectively. Results: Of the 10 966 patients with primary liver cancer, 10 331 patients underwent hepatectomy and 635 patients underwent liver transplantation. Patients with liver resection were categorized into three groups: 1986－1995(712 cases), 1996－2008(3 988 cases), 2009‒2019(5 631 cases). The 5-year overall survival rate was 32.9% in the first group(1986－1995). The 5-year overall survival rate of resected primary liver cancer was 51.7% in the third group(2009-2019), among which the 5-year overal survival rates of hepatocellular carcinoma, intrahepatic cholangiocarcinoma and mixed liver cancer were 57.4%, 26.6% and 50.6%, respectively. Further analysis was performed on 2 549 HCC patients with primary hepatectomy. The 1-, 3-, 5-, and 10-year overall survival rates were 88.1%, 71.9%, 60.0%, and 41.0%, respectively, and the perioperative mortality rate was 1.0%. Two hundred and forty-seven HCC patients underwent primary liver transplantation, with 1-, 3-, 5-, and 10-year overall survival rates of 84.0%, 64.8%, 61.9%, and 57.6%, respectively. Eighty-eight HCC patients underwent salvage liver transplantation, with the 1-, 3-, 5-, and 10-year overall survival rates of 86.8%, 65.2%, 52.5%, and 52.5%, respectively. There was no significant difference in survival rates between the two groups with liver transplantation (P>0.05). Comparing the overall survival rates and recurrence rates of primary hepatectomy (2 549 cases) with primary liver transplantation (247 cases), the 1-, 3-, 5-, and 10-year overall survival rates in patients within Milan criteria treated with hepatectomy and transplantation were 96.3%, 87.1%, 76.9%, 54.7%, and 95.4%, 79.4%, 77.4%, 71.7%, respectively (P=0.754). The 1-, 3-, 5-year recurrence rates were 16.3%, 35.9%, 47.6% and 8.1%, 11.7%, 13.9%, respectively(P<0.01). The 1-, 3-, 5-, 10-year overall survival rates in patients with no large vessels invasion beyond the Milan criteria treated with liver resection and transplantation were 87.2%, 65.9%, 53.0%, 33.0% and 87.6%, 71.8%, 71.8%, 69.3%, respectively(P=0.003); the 1-, 3-, 5-year recurrence rate were 39.2%, 57.8%, 69.7% and 29.7%, 36.7%, 36.7%, respectively (P<0.01). The 1-, 3-, 5-, and 10-year overall survival rates in patients with large vessels invasion treated with liver resection and transplantation were 62.1%, 36.1%, 22.2%, 15.0% and 62.9%, 31.8%,19.9%, 0, respectively (P=0.387); the 1-, 3-, 5-year recurrence rates were 61.5%, 74.7%, 80.8% and 59.7%, 82.9%, 87.2%, respectively(P=0.909). Independent prognostic factors for both overall survival and recurrence-free survival rates of HCC patients treated with liver resection included gender, neoadjuvant therapy, symptoms, AST, intraoperative or postoperative blood transfusion, tumor number, tumor size, cirrhosis, macrovascular invasion, microvascular invasion, and pathological differentiation. Propensity score matching analysis of 443 pairs further showed that there was no significant difference in overall survival rate between anatomical liver resection and non-anatomical liver resection(P=0.895), but the recurrence rate of non-anatomical liver resection was higher than that of anatomical liver resection(P=0.035). Conclusions: In the past decade, the overall survival rate of HCC undergoing surgical treatment is significantly higher than before. For HCC patients with good liver function reservation, surgical resection can be performed first, and salvage liver transplantation can be performed after recurrence. The effect of salvage liver transplantation is comparable to that of primary liver transplantation. As for the choice of liver resection approaches, non-anatomical resection can reserve more liver tissue and can be selected as long as the negative margin is guaranteed.

Modeling Rabies Transmission in Spatially Heterogeneous Environments via [Formula: see text]-diffusion

Rabies among dogs remains a considerable risk to humans and constitutes a serious public health concern in many parts of the world. Conventional mathematical models for rabies typically assume homogeneous environments, with a standard diffusion term for the population of rabid animals. It has recently been recognized, however, that spatial heterogeneity plays an important role in determining spatial patterns of rabies and the cost-effectiveness of vaccinations. In this paper, we develop a spatially heterogeneous dog rabies model by using the [Formula: see text]-diffusion equation, where [Formula: see text] reflects the way individual dogs make movement decisions in the underlying random walk. We numerically investigate the dynamics of the model in three diffusion cases: homogeneous, city-wild, and Gaussian-type. We find that the initial conditions affect whether traveling waves or epizootic waves can be observed. However, different initial conditions have little impact on steady-state solutions. An "active" interface is observed between city and wild regions, with a "ridge" on the city side and a "valley" on the wild side for the infectious dog population. In addition, the progressing speed of epizootic waves changes in heterogeneous environments. It is impossible to eliminate rabies in the entire spatial domain if vaccination is focused only in the city region or only in the wild region. When a seasonal transmission is incorporated, the dog population size approaches a positive time-periodic spatially heterogeneous state eventually.

[Elimination of hepatitis C, our progress, challenges and hopes]

Hepatitis C infection is a serious public health threat, and the World Health Organization has recommended the elimination of public health threats from viral hepatitis, including hepatitis C, by 2030. Many countries and regions are actively exploring strategies and models to eliminate the public health threat of hepatitis C. It is estimated that there are at least 7.6 million cases of chronic hepatitis C in China, with both diagnosis and treatment rates far away to 2030 target. China's government, social organizations and doctors at different levels are also actively exploring the mode of eliminating the public health threat of hepatitis C in China, including the main mode supported by national standards, government-led mode, social institution undertaking and government-supported mode, medical alliance mode, screening in high-prevalence areas and services contracted with family doctors. China can have a lessons learning from international and ourselves experience, particularly as "Test and treat all based on needs and demand" strategy in Covid-19 control, finally achieve eliminate the public health threat of hepatitis C as soon as possible.

Why is it difficult to accurately predict the COVID-19 epidemic?

Since the COVID-19 outbreak in Wuhan City in December of 2019, numerous model predictions on the COVID-19 epidemics in Wuhan and other parts of China have been reported. These model predictions have shown a wide range of variations. In our study, we demonstrate that nonidentifiability in model calibrations using the confirmed-case data is the main reason for such wide variations. Using the Akaike Information Criterion (AIC) for model selection, we show that an SIR model performs much better than an SEIR model in representing the information contained in the confirmed-case data. This indicates that predictions using more complex models may not be more reliable compared to using a simpler model. We present our model predictions for the COVID-19 epidemic in Wuhan after the lockdown and quarantine of the city on January 23, 2020. We also report our results of modeling the impacts of the strict quarantine measures undertaken in the city after February 7 on the time course of the epidemic, and modeling the potential of a second outbreak after the return-to-work in the city.

A Deterministic Model for Q Fever Transmission Dynamics within Dairy Cattle Herds: Using Sensitivity Analysis and Optimal Controls

This paper presents a differential equation model which describes a possible transmission route for Q fever dynamics in cattle herds. The model seeks to ascertain epidemiological and theoretical inferences in understanding how to avert an outbreak of Q fever in dairy cattle herds (livestock). To prove the stability of the model's equilibria, we use a matrix-theoretic method and a Lyapunov function which establishes the local and global asymptotic behaviour of the model. We introduce time-dependent vaccination, environmental hygiene, and culling and then solve for optimal strategies. The optimal control strategies are necessary management practices that may increase animal health in a Coxiella burnetii-induced environment and may also reduce the transmission of the disease from livestock into the human population. The sensitivity analysis presents the relative importance of the various generic parameters in the model. We hope that the description of the results and the optimality trajectories provides some guidelines for animal owners and veterinary officers on how to effectively minimize the bacteria and control cost before/during an outbreak.

Meta-analysis: Supplementary artificial light and goose reproduction

Photoperiod affects poultry reproduction, and in birds, photoperiod regulation is a complex physiological process. In modern poultry production, lighting management has become an important and effective management approach for increasing egg production. Geese are domesticated fowl and in many goose production enterprises animals are allowed to roam in outside pens during the day and are housed indoors at night, so the animals can be exposed to artificial lighting during the night periods. Supplementary artificial lighting resulted in improved reproduction in some studies, but reports have been inconsistent. To evaluate the results from previous studies of supplementary lighting on goose egg production, a meta-analysis was conducted to determine optimal supplementary artificial lighting regimens for geese egg production. Results indicated supplementary artificial light increases mean egg production, the length of the period of egg production before there is cessation of egg production capacity, and fertility. In summary, there were evaluations of data from five studies focused on White Roman geese in the meta-analysis conducted in the present study, however, examination of more breeds is necessary to make more definitive assessments of the findings from this meta-analysis.

[Matrix metalloproteinase-3 in patients with systemic lupus erythematosus and its significance in differentiating disease activity from pulmonary infections]

The purpose of this study is to investigate the matrix metalloproteinase-3 (MMP-3) levels in patients with systemic lupus erythematosus (SLE) and its significance in identifying disease activity and pulmonary infections. A total of 122 SLE patients were enrolled, including 21 with pulmonary infections, 16 with arthritis, 26 with nephritis, 10 with vasculitis, and 23 healthy controls. Serum MMP-3, C-reactive protein (CRP), serum amyloid A (SAA), and haptoglobin (HPT) levels were measured in all subjects. The results showed that the levels of MMP-3 in SLE combined with pulmonary infections [(230.10±44.92) μg/L], arthritis [(140.20±20.76) μg/L], nephritis [(155.40±23.36) μg/L] were higher than those in SLE only [(91.74±10.47) μg/L]. The levels of MMP-3 [(210.30±45.71) μg/L], CRP [(12.11±5.21) mg/L], HPT [(1.57±0.23) g/L] in active SLE combined with pulmonary infections were higher than those inactive SLE without pulmonary infections including MMP-3 [(124.00±15.22) μg/L], CRP [(7.76±2.96) mg/L], HPT [(0.89±0.09) g/L]. The levels of CRP [(10.03±2.70) mg/L], SAA [(89.22±36.77) mg/L] in active SLE with pulmonary infections and CRP[(7.76±2.96) mg/L], SAA [(60.22±19.7) mg/L] in active SLE without pulmonary infections were higher than CRP [(1.90±0.39) mg/L], SAA [(17.60±3.89) mg/L] in stable SLE with pulmonary infections. It suggests that the levels of CRP and SAA are elevated in active SLE with pulmonary infections. Serum MMP-3 in combination with CRP may assist in differentiating from SLE pulmonary infections.

[Association of glycosylated hemoglobin level at admission with outcomes of intracerebral hemorrhage patients]

Objective: To explore the association of the glycosylated hemoglobin (HbA1c) level at admission with 90 days functional outcome in patients with spontaneous intracerebral hemorrhage (ICH). Methods: Patients admitted to the Department of Neurology, Tongji Hospital from January to December 2017 were prospectively and continuously enrolled in this study. Clinical data were collected at admission and functional outcomes 90 days after ICH were assessed by using the modified RANKIN scale. Univariate and multivariate conditional logistic regression models were constructed. Patients were divided into four groups according to the quartile of HbA1c values. The median value of HbA1c in each group was taken as the substitute value and P for trend was calculated. The logistic regression model was fitted by restricted cubic splines to investigate the association between HbA1c level and outcome of ICH. Results: A total of 345 patients with ICH were enrolled, including 214 with favorable outcomes and 131 with poor outcomes (99 severe disability cases and 32 deaths). The risk of poor 90 days outcomes was significantly associated with HbA1c level at admission indicated by multivariate logistic regression analysis, and the P for trend test was <0.001 (middle-level group vs. low-level group: OR=2.33, 95%CI: 1.07-5.07; high-level group vs. low-level group: OR=2.52, 95%CI: 1.12-5.64; extremely high-level group vs. low-level group: OR=6.80, 95%CI: 3.01-15.34). Results from the restricted cubic spline showed that there was a linear correlation between HbA1c level at admission and poor 90 days outcomes of ICH (χ(2)=14.81, P<0.001; non- linear test: P=0.118). Compared with patients with HbA1c level of 6.5%, the risk of poor outcomes in patients with HbA1c level of <6.5% decreased linearly with the decrease in HbA1c level at admission, and the risk in patients with HbA1c level >6.5% was higher but not significantly. Conclusion: There was correlation between high HbA1c level at admission and 90 days poor outcome of ICH. High HbA1c level is an independent prediction indicator for ICH.

Single-Cell Transcriptome Analysis Reveals Disease-Defining T-cell Subsets in the Tumor Microenvironment of Classic Hodgkin Lymphoma

Hodgkin lymphoma is characterized by an extensively dominant tumor microenvironment (TME) composed of different types of noncancerous immune cells with rare malignant cells. Characterization of the cellular components and their spatial relationship is crucial to understanding cross-talk and therapeutic targeting in the TME. We performed single-cell RNA sequencing of more than 127,000 cells from 22 Hodgkin lymphoma tissue specimens and 5 reactive lymph nodes, profiling for the first time the phenotype of the Hodgkin lymphoma-specific immune microenvironment at single-cell resolution. Single-cell expression profiling identified a novel Hodgkin lymphoma-associated subset of T cells with prominent expression of the inhibitory receptor LAG3, and functional analyses established this LAG3⁺ T-cell population as a mediator of immunosuppression. Multiplexed spatial assessment of immune cells in the microenvironment also revealed increased LAG3⁺ T cells in the direct vicinity of MHC class II-deficient tumor cells. Our findings provide novel insights into TME biology and suggest new approaches to immune-checkpoint targeting in Hodgkin lymphoma. SIGNIFICANCE: We provide detailed functional and spatial characteristics of immune cells in classic Hodgkin lymphoma at single-cell resolution. Specifically, we identified a regulatory T-cell-like immunosuppressive subset of LAG3⁺ T cells contributing to the immune-escape phenotype. Our insights aid in the development of novel biomarkers and combination treatment strategies targeting immune checkpoints.See related commentary by Fisher and Oh, p. 342.This article is highlighted in the In This Issue feature, p. 327.

[The effect and mechanism of transient receptor potential M(2) in antigen-induced arthritis mice]

The purpose of this study was to explore the role and mechanism of transient receptor potential M(2) (TRPM(2)) in antigen-induced arthritis (AIA) mice. Twelve C57BL/6 mice and 12 TRPM(2) knockout mice were divided into 4 groups, includingwild type control group, wild type AIA group, TRPM(2) knockout control group and TRPM(2) knockout AIA group, with 6 mice in each group. Methylated bovine serum albumin (mBSA) was used to establish AIA mouse model. The degree of joint swelling and inflammatory cell infiltration were recorded, as well as synovial hyperplasia of the knee joints. Real-time quantitative polymerase chain reaction (PCR) was used to detect the expression of interleukin (IL)-6, IL-8, chemokine ligand 6 (CXCL-6) and tumor necrosis factor alpha (TNFα) mRNA in synovial cells of knee joints. The results showed that compared with the wild-type AIA group, the TRPM(2) knockout AIA group had more significant synovial proliferation and inflammatory cell infiltration in the synovial tissue.The neutrophil and macrophage counts rather than monocytes in the knee joints of TRPM(2) knockout AIA group were higher than those in wild-type AIA mice. The expression of IL-6, IL-8 and CXCL-6 mRNA were significantly increased in the knock out mice. In summary, TRPM(2) may inhibit inflammatory cytokines such as IL-6 and IL-8 in knee joints of AIA mice by reducing the infiltration of neutrophils and macrophages, the refore alleviates the manifestations of knee arthritis.

Influenza a virus and Streptococcus pneumonia coinfection potentially promotes bacterial colonization and enhances B lymphocyte depression and reduction

Influenza has frequently been epidemic in recent years. However, the mechanisms of severe pneumonia with postinfluenza Streptococcus pneumoniae (SP) secondary infection have not been fully understood. In this study, we explored the mechanisms of pneumonia in postinfluenza A virus (IAV) infection via a mouse model. Mice were intranasally inoculated with SP three days after IAV inoculation. We then collected samples at three time points to dynamically observe the pathological progression. In IAV infection alone, lymphocyte infiltration and widened alveolar intervals were observed. In the blood, levels of the CD19+, CD19+CD21+ and CD19+CD79β+B lymphocyte subpopulations were reduced, and IFN-γ and IL-10 were elevated. Slight atrophy was seen in the spleen, which was due to splenic B lymphocyteinitiated apoptosis through the mitochondrial pathway. When SP infection occurred after IAV infection, the pulmonary inflammation was significantly aggravated; a fair number of lymphocytes and neutrophils infiltrated simultaneously with exfoliated bronchial epithelial cells, vascular endothelial cells, widened alveolar septum and hemorrhaging. Increasing edema fluid and bacteria accumulated in the alveolar cavity. Decreased CD19+, CD19+CD21+ and CD19+CD79β+B lymphocyte subpopulations and increased interferon gamma (IFN-γ) or interleukin 10 (IL-10) were more prominent compared to those with viral infection alone. Spleen atrophy resulting from coinfection was more obvious because of massive splenic B lymphocyte apoptosis through the mitochondrial pathway compared to viral infection alone. This study shows that although inflammation caused by SP infection alone was temporary, preceding IAV infection provided favorable conditions for SP colonization and multiplication by destroying lung structure and suppressing humoral immunity. Synergistic IAV-SP coinfection is likely to facilitate more SP colonization and promote B lymphocyte-suppression and reduction. Eventually, the pneumonia worsened.