Aims: Multiple sclerosis (MS) still maintains increasing prevalence and poor prognosis, while glucagon‐like peptide‐1 receptor (GLP‐1R) agonists show excellent neuroprotective capacities recently. Thus, we aim to evaluate whether the GLP‐1R agonist liraglutide (Lira) could ameliorate central nervous system demyelination and inflammation.Methods: The therapeutic effect of Lira was tested on experimental autoimmune encephalitis (EAE) in vivo and a microglia cell line BV2 in vitro.Results: Lira administration could ameliorate the disease score of EAE mice, delay the disease onset, ameliorate pathological demyelination and inflammation score in lumbar spinal cord, reduce pathogenic T helper cell transcription in spleen, restore phosphorylated adenosine monophosphate‐activated protein kinase (pAMPK) level, autophagy level, and inhibit pyroptosis‐related NLR family, pyrin domain‐containing protein 3 (NLRP3) pathway in lumbar spinal cord. Additionally, cell viability test, lactate dehydrogenase release test, and dead/live cell staining test for BV2 cells showed Lira could not salvage BV2 from nigericin‐induced pyroptosis significantly.Conclusion: Lira has anti‐inflammation and anti‐demyelination effect on EAE mice, and the protective effect of Lira in the EAE model may be related to regulation of pAMPK pathway, autophagy, and NLRP3 pathway. However, Lira treatment cannot significantly inhibit pyroptosis of BV2 cells in vitro. Our study provides Lira as a potential candidate for Multiple Sclerosis treatment.

This study explores the use of optical coherence tomography (OCT) to monitor and diagnose multiple sclerosis (MS). The analysis of reduced total macular volume and peripapillary retinal nerve fiber layer thinning are shown. The severity of these defects increases as MS progresses, reflecting the progressive degeneration of nerve fibers and retinal ganglion cells. The OCT parameters are noninvasive, sensitive indicators that can be used to assess the progression of neurodegeneration and inflammation in MS.

To investigate the clinical characteristics and risk factors of human immunodeficiency virus (HIV)-negative patients with Talaromyces marneffei (T. marneffei) infection. We retrospectively collected the clinical information of HIV-negative patients with T. marneffei infection from January 1, 2010 to June 30, 2019, and analyzed the related risk factors of poor prognosis. Twenty-five cases aging 22 to 79 years were included. Manifestations of T. marneffei infection included fever, cough, dyspnea, chest pain or distress, lymphadenopathy, ear, nose, and throat (ENT) and/or skin lesions, bone or joint pain, edema and pain in the lower extremities, digestive symptoms, icterus, malaise, and hoarseness. Two cases had no comorbidity, while 23 cases suffered from autoimmune disease, pulmonary disease, cancer, and other chronic diseases. Sixteen cases had a medication history of glucocorticoids, chemotherapy or immunosuppressors. Pulmonary lesions included interstitial infiltration, nodules, atelectasis, cavitary lesions, pleural effusion or hydropneumothorax, bronchiectasis, pulmonary fibrosis, pulmonary edema, and consolidation. The incidence of osteolytic lesions was 20%. Eight patients received antifungal monotherapy, and 11 patients received combined antifungal agents. Fifteen patients survived and ten patients were dead. The Cox regression analysis showed that reduced eosinophil counts, higher levels of blood urea nitrogen (BUN), alanine aminotransferase (ALT), aspartate aminotransferase (AST), lactic dehydrogenase (LDH), myoglobin (Mb), procalcitonin (PCT), and galactomannan were related to poor prognosis (hazard ratio [HR]>1, P<0.05). Bone destruction is common in HIV-negative patients with T. marneffei infection. Defective cell-mediated immunity, active infection, multiple system, and organ damage can be the risk factors of poor prognosis.

Background: This cohort study, based on a large sample of extensive hepatectomy cases, aimed to analyze the distribution of hepatectomy-related complications and to develop a predictive model of posthepatectomy liver failure (PHLF). Methods: Data of patients who underwent hepatectomy of ≥3 liver segments at the Eastern Hepatobiliary Surgery Hospital from 2000 to 2016 were collected and analyzed. Information on hepatectomy-related complications was collected and risk factors were analyzed. A total of 1,441 eligible patients were randomly assigned at 3:1 ratio into the derivation (n=1,080) and validation (n=361) cohorts. The multivariable logistic regression model was used to establish the prediction model of PHLF in the derivation cohort. Results: The incidence rates of PHLF, ascites, bile leakage, intra-abdominal bleeding, and abscesses were 58.22%, 10.76%, 11.17%, 9.71%, and 4.16%, respectively. The 90-day perioperative mortality rate was 1.32%. Multivariate analyses found that age, gender, platelet, creatinine, gamma-glutamyltransferase, thrombin time, fibrinogen, hepatitis B e (HBe) antigen positive, and number of resected liver segments were independent prognostic factors of PHLF in the derivation cohort and included in the nomogram. The prediction model demonstrated good discrimination [area under the curve =0.726, 95% confidence interval (CI), 0.696–0.760, P<0.0001] and calibration. Conclusions: Our study showed a high perioperative safety and a low risk of serious complications in patients who underwent major liver resection (MLR) at a large hepatobiliary surgery center. Routine preoperative clinical information can be used to develop a postoperative liver failure risk prediction model for rational planning of surgery.