Vitexin attenuates non-alcoholic fatty liver disease (NAFLD) lipid accumulation in high fat-diet fed mice by activating autophagy and reducing endoplasmic reticulum (ER) stress in liver

Non-alcoholic fatty liver disease (NAFLD) has become prevalent worldwide, but sufficient pharmaceutical treatments for this condition are lacking. Previous literature suggests that vitexin offers beneficial effects in the treatment of NAFLD, but the underlying mechanisms are not well understood. In this study, the in vivo effects of vitexin were investigated in high-fat-diet (HFD)-induced NAFLD mice. Liver pathology, biochemical parameters, lipid levels, hepatocyte ultrastructure, and related regulatory proteins were measured at the end of treatment. Treatment consisted of four weeks of daily administration of vitexin at a dose of 6 mg/kg of body weight. This treatment markedly improved hepatic architecture, attenuated lipid accumulation, and regulated lipid abnormalities. In addition, the treatment reduced endoplasmic reticulum (ER) stress, restored mitochondrial biological proteins, and increased autophagy. Furthermore, the treatment increased PPAR-r protein, which was inhibited by HFD. Thus, it was speculated that vitexin degraded lipids in HFD-induced NAFLD mice liver by inducing autophagy and restoring both ER and mitochondrial biological proteins.

Peg-interferon alpha add-on Tenofovir disoproxil fumarate achieved more HBsAg loss in HBeAg-positive chronic hepatitis B naïve patients

Several studies have showed that combining peg-interferon alpha (Peg-IFNα) with nucleotide analogues has complementary effects in chronic hepatitis B (CHB), but the optimal regimen and potential mechanisms remain unclear. This was a prospective, longitudinal and multicentre clinical trial (NCT03013556). HBeAg-positive CHB naïve patients were randomly assigned to three groups: tenofovir disoproxil fumarate (TDF) monotherapy for 96 weeks, TDF alone for 48 weeks and sequentially Peg-IFNα added for 48 weeks, TDF de novo combination with Peg-IFNα for 48 weeks then TDF alone for 48 weeks. The primary endpoint was HBeAg seroconversion at week 96 and HBsAg loss as the secondary endpoint. Furthermore, the levels of 12 cytokines in serum were assessed at different time points. A total of 133 patients were included in the analysis. The rates of HBeAg seroconversion at 96 weeks were not significant different among the three groups (p = 0.157). Interestingly, patients in the Peg-IFNα add-on group showed markedly lower HBsAg level compared with the other two groups at week 96. In addition, only three patients in the Peg-IFNα add-on group achieved HBsAg loss. For the following 24 weeks from week 96, no HBsAg reappearance in the three patients and no new patients with HBsAg loss were observed in the three groups. Serum cytokine analysis showed that the baseline level of interferon-inducible protein-10 (IP-10) was strongly higher in HBeAg conversion patients and HBsAg loss patients. Compared with de novo combination and TDF alone, the addition of Peg-IFNα in TDF-treated group might be an effective strategy for HBsAg loss in HBeAg-positive CHB naïve patients.

Depletion of Fractalkine ameliorates renal injury and Treg cell apoptosis via the p38MAPK pathway in lupus-prone mice

Fractalkine (FKN) is a chemokine with several roles, including chemotaxis; adhesion; and immune damage, which also participates in cell inflammation and apoptosis and responds to the pathogenesis of autoimmune diseases. Given the involvement of regulatory T cells (Treg) cells in autoimmune diseases, this study investigated the regulatory mechanism of FKN in renal injury and Treg apoptosis via the p38 mitogen-activated protein kinase (p38MAPK) signaling pathway in lupus-prone mice. Lupus was induced in BALB/c female mice by injection of pristane, followed by isolation of CD4+CD25+ Treg cells from the spleen of lupus model mice. To deplete FKN, mice received injection of an anti-FKN antibody, and Treg cells were transfected with FKN small-interfering RNA. Lupus mice and Treg cells were treated with the p38MAPK inhibitor SB203580 and activator U-46619, respectively, and urine protein and serum urea nitrogen, creatinine, and autoantibodies were measured and renal histopathological changes analyzed. We determined levels of FKN, phosphorylated p38 (p-p38), and forkhead box P3 (FOXP3) in renal tissue and Treg cells, and analyzed apoptosis rates and levels of key apoptotic factors in Treg cells. The renal FKN and p-p38 levels increased, whereas renal FOXP3 level decreased in lupus-prone mice. Treatment with the anti-FKN antibody and the p38MAPK inhibitor ameliorated proteinuria and renal function, significantly reducing serum autoantibody, renal FKN, and p-p38 levels while increasing renal FOXP3 level in lupus-prone mice. Moreover, FKN knockdown and administration of the p38MAPK inhibitor reduced apoptosis and levels of pro-apoptotic factors, increased levels of anti-apoptotic factors, and suppressed activation of p38MAPK signaling in Treg cells derived from lupus model mice. Furthermore, treatment with the p38MAPK activator U-46619 had the opposite effect on these cells. These data indicated that depletion of FKN ameliorated renal injury and Treg cell apoptosis via inhibition of p38MAPK signaling in lupus nephritis, suggesting that targeting FKN represents a potential therapeutic strategy for treating Lupus nephritis.

Application of Sarcosaprophagous Insects to Estimate the Postmortem Interval in 11 Cases

Abstract

Objective To test the feasibility and accuracy of with sarcosaprophagous insects postmortem interval （PMI） estimation with sarcosaprophagous insects and provide references for estimation practice. Methods Eleven cases confirmed by the detection results, with complete entomological evidence were selected. The insect species, estimation results and true results involved in the cases were statistically analyzed and compared. Results Thirteen species of insects were found at the criminal scene, including Chrysomya megacephala （Fabricius）, Chrysomya rufifacies （Macquart）, Chrysomya nigripes （Aubertin）, Lucilia sericata （Meigen）, Hydrotaea spinigera Stein, Muscina stabulans （Fallén）, Sarcophagid （species were not identified）, Megaselia scalaris （Loew）, Hermetia illucens （Linnaeus）, Saprinus splendens （Paykull）, Creophilus maxillosus （Linnaeus）, Dermestes maculatus （De Geer） and Necrobia ruficollis （Fabricius）. The PMI of all eleven cases was within the range of estimated PMI. The estimated results of 72.73% cases were on the same day of the true results. Conclusion Sarcosaprophagous insects can estimate the PMI simply and conveniently. In cases where the PMI is within the time range of one generation of flies or beetles, the estimation results are relatively accurate. However, the estimation is less accurate when the PMI is beyond the time range.

Parecoxib prevents nucleus pulposus cells apoptosis by suppressing endoplasmic reticulum stress

OBJECTIVE

Intervertebral disc degeneration (IVDD) is the main cause of spine diseases, and apoptosis of nucleus pulposus (NP) cells is an important risk factor for the degeneration of intervertebral discs. Endoplasmic reticulum (ER) stress is involved in multiple apoptosis processes. This study investigated whether the specific COX-2 inhibitor parecoxib can inhibit NP cell apoptosis induced by ER stress.

PATIENTS AND METHODS

Human NP cells were isolated from the disc tissue collected from IVDD patients. We used IL-1β to establish an NP cell degenerated model. Degenerated levels were detected by the analysis of cell viability, collagen II, collagen X, aggrecan, TNF-α, IL-6, and MMP-13 expression. ER stress status was examined by GRP78 and CHOP expression. Apoptosis level was mainly indicated by the positive apoptotic cells and caspase-12 expression. CHOP-plasmid transfection was performed to overexpress the CHOP protein level.

RESULTS

IL-1β could induce the decrease of viability, collagen Ⅱ, aggrecan, but an increase of collagen X, TNF-α, IL-6, and MMP-13 in NP cells, as well as the upregulation of GRP78/PERK/caspase-12 and apoptosis level, which could be inhibited by parecoxib. Parecoxib could also suppress CHOP caused by COX-2 upregulation and apoptosis in NP cells.

CONCLUSIONS

Parecoxib is a safe and efficient COX-2 inhibitor to NP cells, which could prevent NP cells apoptosis by suppressing ER stress.

Fractalkine aggravates LPS-induced macrophage activation and acute kidney injury via Wnt/β-catenin signalling pathway

Fractalkine (CX3CL1, FKN), a CX3C gene sequence inflammatory chemokine, has been found to have pro-inflammatory and pro-adhesion effects. Macrophages are immune cells with a critical role in regulating the inflammatory response. The imbalance of M1/M2 macrophage polarization can lead to aggravated inflammation. This study attempts to investigate the mechanisms through which FKN regulates macrophage activation and the acute kidney injury (AKI) involved in inflammatory response induced by lipopolysaccharide (LPS) by using FKN knockout (FKN-KO) mice and cultured macrophages. It was found that FKN and Wnt/β-catenin signalling have a positive interaction in macrophages. FKN overexpression inhibited LPS-induced macrophage apoptosis. However, it enhanced their cell viability and transformed them into the M2 type. The effects of FKN overexpression were accelerated by activation of Wnt/β-catenin signalling. In the in vivo experiments, FKN deficiency suppressed macrophage activation and reduced AKI induced by LPS. Inhibition of Wnt/β-catenin signalling and FKN deficiency further mitigated the pathologic process of AKI. In summary, we provide a novel mechanism underlying activation of macrophages in LPS-induced AKI. Although LPS-induced murine AKI was unable to completely recapitulate human AKI, the positive interactions between FKN and Wnt/β-catenin signalling pathway may be a therapeutic target in the treatment of kidney injury.

AB0259 EVALUATION OF THE EFFECT OF FILGOTINIB ON THE PHARMACOKINETICS OF ROSUVASTATIN, ATORVASTATIN, AND PRAVASTATIN

Background:

Filgotinib is an orally administered small molecule that preferentially inhibits Janus kinase 1 and is approved for use in Europe and Japan in adult patients with rheumatoid arthritis (RA) who have had an inadequate response to conventional therapies. Patients with RA are at a higher risk of cardiovascular morbidity and mortality relative to the general population1. Thus, it is important to understand potential drug-drug interactions of filgotinib with lipid-lowering agents such as statins. Based on in vitro studies, filgotinib is not expected to significantly increase exposure of statins via inhibition of the organic anion transporting peptide (OATP) at clinically relevant exposures. Hence, in Phase 2 and Phase 3 clinical studies, statins were allowed for use with filgotinib. A post-hoc analysis showed no increase in statin-induced AEs such as muscle or liver toxicities when statins were coadministered with filgotinib (“Concomitant Use of Statins in Filgotinib-Treated Patients with Rheumatoid Arthritis: A Post Hoc Analysis”, submitted to EULAR 2021).

Objectives:

The objectives of this study (NCT04608344) were to evaluate the effect of filgotinib on the pharmacokinetics of atorvastatin, pravastatin, and rosuvastatin, which are sensitive substrates for the OATP-1B1/1B3, and the short-term safety of administering filgotinib with or without statins.

Methods:

This was an open-label, randomized, two-way, crossover study in healthy adult volunteers (n = 27). Study participants received a single dose of atorvastatin (ATV 40 mg) and a single dose of a cocktail of pravastatin (PRA 40 mg)/rosuvastatin (ROS 10 mg), on two different occasions with washout in between, alone or in combination with filgotinib (200 mg QD for 11 days). Serial pharmacokinetic sampling was performed and pharmacokinetic parameters for each statin were calculated. Safety was assessed throughout the study. An analysis of variance using a mixed-effects model was applied to the natural logarithmic transformation of pharmacokinetic parameters (Cmax and AUCinf) for ATV, 2-OH-ATV (active metabolite of ATV), PRA, and ROS. Geometric-least squares means (GLSM) ratios and 90% confidence intervals (90% CI) of pharmacokinetic parameters were estimated for each analyte and were compared against pre-specified lack of pharmacokinetic alteration boundaries of 70 to 143%.

Results:

Of the 27 enrolled participants, 25 participants completed all study treatments. Most AEs and laboratory abnormalities were Grade 1 or 2 in severity; 1 participant discontinued due to a Grade 3 increase in creatine kinase and 1 participant discontinued due to difficulty in blood draws. Following coadministration of filgotinib with ATV, relative to ATV alone, ATV AUCinf was unaffected (GLSM ratio (90% CI): 0.91 (0.84, 0.99)), but ATV Cmax was slightly reduced (GLSM ratio (90% CI): 0.82 (0.69, 0.98)). 2-OH-ATV exposure (Cmax and AUCinf) were unaffected (GLSM ratio (90% CI): 0.98 (0.81, 1.18) for Cmax and 1.12 (1.02, 1.22) for AUCinf), and were within the pre-specified lack-of-effect bounds. Following coadministration with filgotinib, PRA AUCinf was unaffected (GLSM ratio (90% CI): 1.22 (1.06, 1.42)), but PRA Cmax was slightly higher (1.25 (1.01, 1.54)). ROS exposure (Cmax and AUCinf) were moderately higher upon coadministration with filgotinib (GLSM ratio (90% CI): 1.68 (1.43, 1.97) for Cmax and 1.42 (1.30, 1.56) for AUCinf), and these changes in rosuvastatin exposure are not considered to be clinically relevant.

Conclusion:

All study treatments were generally well tolerated. Co-administration with filgotinib did not have a clinically meaningful impact on the exposure of ATV, PRA, and ROS. These data support concomitant use of filgotinib with OATP substrates such as statins.

References:

[1]Piepoli MF, Hoes AW, Agewall S, et al. Eur Heart J. 2016;37(29): 2315-2381.

Disclosure of Interests:

Kacey Anderson Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Cara Nelson Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Qi Gong Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Muhsen Alani Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Thomas Tarnowski Shareholder of: Gilead Sciences, Employee of: Gilead Sciences, Ahmed A. Othman Shareholder of: Gilead Sciences, Employee of: Gilead Sciences

POS0092 HERPES ZOSTER IN THE FILGOTINIB RHEUMATOID ARTHRITIS PROGRAM

Background:

The once daily, oral Janus kinase (JAK)-1 preferential inhibitor filgotinib (FIL) improved signs and symptoms of rheumatoid arthritis (RA) in phase (P)3 trials.1-3 Patients (pts) with RA have increased herpes zoster (HZ) reactivation risk vs the general population. JAK inhibition is associated with increased infection incidence, including HZ.4

Objectives:

To assess long-term safety of FIL across the global clinical program with respect to HZ.

Methods:

Pts meeting 2010 ACR/EULAR RA criteria in a pooled analysis of P2 DARWIN 1–2 (D1–2), P3 FINCH 1–3 (F1–3), and long-term extension studies (D3, F4) were included. Placebo (PBO)-controlled as-randomised analysis included pts receiving FIL 100 mg (FIL100), FIL 200 mg (FIL200), or PBO up to week (W)12 (D1–2, F1–2); active-controlled as-randomised analysis included pts receiving FIL100, FIL200, adalimumab (ADA), or methotrexate (MTX) up to W52 (F1, F3). Long-term as-treated analysis included pts in all 7 studies receiving FIL100, FIL200, ADA, MTX, or PBO; data after re-randomisation were included and contributed to treatment received. Exposure-adjusted incidence rates (EAIR)/100 patient-years, calculated up to the last follow-up time or day, and differences with 95% confidence intervals (CIs) were calculated from the Poisson model. Logistic regression model was used for treatment-emergent (TE) HZ risk factor analysis and odds ratio (95% CI) and P value were provided.

Results:

Table 1 shows TE HZ EAIRs in a pooled analysis. Rates of HZ were lower for FIL200 vs PBO during the 12W PBO-controlled period. At 52W, HZ rates were higher for FIL200/100 vs active control. Long-term HZ rates increased for FIL200 vs FIL100.

Table 1.

EAIR of treatment-emergent herpes zoster

NPatient-years exposureEAIR(95% CI)EAIR diff(95% CI vs PBO/active control)12W PBO-controlled FIL200777179.80.6 (0.1, 3.9)−0.56 (−2.5, 1.3) FIL100788181.61.1 (0.3, 4.4)−0.02 (−2.2, 2.2) PBO781178.41.1 (0.3, 4.5)Active-controlled, as-randomiseda FIL200475439.71.4 (0.6, 3.0)0.69 (−0.7, 2.1) FIL100480443.40.9 (0.3, 2.4)0.23 (−1.1, 1.5) ADA325297.60.7 (0.2, 2.7)Active-controlled, as-randomiseda FIL200626578.01.7 (0.9, 3.2)0.65 (−0.8, 2.2) FIL100207195.01.5 (0.5, 4.8)0.46 (−1.6, 2.5) MTX416372.21.1 (0.4, 2.9)Long-term as-treatedb FIL20022674047.71.8 (1.4, 2.3)NC FIL10016472032.91.1 (0.8, 1.7)NC

aup to W52. bdata cut for LTE FINCH 4, Sept 19, 2019; DARWIN 3, April 26 2019.

ADA, adalimumab; CI, confidence interval; EAIR, exposure-adjusted incidence rate; FIL, filgotinib; MTX, methotrexate; NC, not calculated; PBO, placebo; W week.

Figure 1 shows multivariate logistic regression model of TE risk factors.

Of 104 pts with TE HZ in long-term as-treated analysis set, 5 receiving FIL200 had history of HZ; EAIR (95% CI) was 8.7 (3.6–21.0). Of 8 pts with multiple events, 3 had events of differing severity for the same HZ episode.

EAIRs (95% CI) of TE HZ in Asia were: 3.7 (1.7–8.1) FIL200, n=197; 2.8 (1.3–6.3) FIL100, n=158; 0 ADA, n=40; 2.8 (0.4–19.6) MTX, n=43; and 3.4 (0.5–23.8) PBO, n=77 in long-term as-treated population. EAIRs (95% CI) in rest of the world were: 1.6 (1.2–2.1) FIL200, n=2070; 0.9 (0.6–1.5) FIL100, n=1489; 0.8 (0.2–3.1) ADA, n=285; 0.9 (0.3–2.9) MTX, n=373; and 0.7 (0.2–2.9) PBO, n=704 for all pts as-treated.

Most TE HZ infections were mild to moderate and non-serious; 6 were serious; 2 were recurrences. No visceral TE HZ occurred across the FIL RA program; there was 1 case each of genital, disseminated, and ophthalmic HZ. The disseminated HZ occurred in a pt with prior HZ history. Lymphopenia was not associated with HZ during the PBO-controlled W12 period.

Conclusion:

HZ was more common in both FIL groups vs ADA or MTX up to 52 weeks but comparable vs PBO during the 12-week placebo-controlled period. In multivariate analyses, prior history of HZ, Asian region, and age ≥50 years were associated with increased HZ risk.

References:

[1]Genovese et al. JAMA. 2019;322:315–25.

[2]Westhovens et al. Ann Rheum Dis. 2021; online first.

[3]Combe et al. Ann Rheum Dis. 2021; online first.

[4]Higarashi and Honda. Drugs. 2020;80:1183–201.

Disclosure of Interests:

Kevin Winthrop Consultant of: AbbVie, Bristol-Myers Squibb, Eli Lilly and Co., Galapagos NV, Gilead Sciences, GlaxoSmithKline, Pfizer, Roche, and UCB, Grant/research support from: AbbVie, Bristol-Myers Squibb, and Pfizer, Maya H Buch Speakers bureau: AbbVie; Eli Lilly and Company; Gilead Sciences, Inc.; Merck-Serono; Pfizer; Roche; Sandoz; Sanofi; and UCB, Consultant of: AbbVie; Eli Lilly and Company; Gilead Sciences, Inc.; Merck-Serono; Pfizer; Roche; Sandoz; Sanofi; and UCB, Grant/research support from: AbbVie; Eli Lilly and Company; Gilead Sciences, Inc.; Merck-Serono; Pfizer; Roche; Sandoz; Sanofi; and UCB, Jeffrey Curtis Grant/research support from: AbbVie, Amgen, BMS, Corrona, Eli Lilly, Janssen, Myriad, Pfizer, Regeneron, Roche, and UCB, Gerd Rüdiger Burmester Speakers bureau: AbbVie; Eli Lilly; Pfizer; and Gilead Sciences, Inc., Consultant of: AbbVie; Eli Lilly; Pfizer; and Gilead Sciences, Inc., Daniel Aletaha Speakers bureau: AbbVie, Amgen, Bristol-Myers Squibb, Celgene, Eli Lilly, Medac, Merck, Merck Sharp & Dohme, Novartis, Pfizer, Roche, Sandoz, Sanofi/Genzyme, and UCB, Consultant of: AbbVie, Amgen, Celgene, Eli Lilly, Janssen, Medac, Merck, Novartis, Pfizer, Roche, Sandoz, and Sanofi/Genzyme, Grant/research support from: AbbVie, Merck Sharp & Dohme, Novartis, and Roche, Koichi Amano Speakers bureau: AbbVie GK, Astellas, Chugai Pharmaceutical Co. Ltd., Eli Lilly, GlaxoSmithKline KK, Pfizer Japan, Mitsubishi-Tanabe Pharma, Grant/research support from: Asahi Kasei Pharma, Alena Pechonkina Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Iyabode Tiamiyu Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Cianna Leatherwood Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Lei Ye Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Qi Gong Shareholder of: Gilead Sciences, Inc., Employee of: Gilead Sciences, Inc., Robin Besuyen Shareholder of: Galapagos, BV, Employee of: Galapagos, BV, James Galloway Speakers bureau: Pfizer, Bristol-Myers Squibb, UCB and Celgene

Viral quasispecies quantitative analysis: a novel approach for appraising the immune tolerant phase of chronic hepatitis B virus infection

Few non-invasive models were established for precisely identifying the immune tolerant (IT) phase from chronic hepatitis B (CHB). This study aimed to develop a novel approach that combined next-generation sequencing (NGS) and machine learning algorithms using our recently published viral quasispecies (QS) analysis package. 290 HBeAg positive patients from whom liver biopsies were taken were enrolled and divided into a training group (n = 148) and a validation group (n = 142). HBV DNA was extracted and QS sequences were obtained by NGS. Hierarchical clustering analysis (HCA) and principal component analysis (PCA) based on viral operational taxonomic units (OTUs) were performed to explore the correlations among QS and clinical phenotypes. Three machine learning algorithms, including K-nearest neighbour, support vector machine, and random forest algorithm, were used to construct diagnostic models for IT phase classification. Based on histopathology, 90 IT patients and 200 CHB patients were diagnosed. HBsAg titres for IT patients were higher than those of CHB patients (p < 0.001). HCA and PCA analysis grouped IT and CHB patients into two distinct clusters. The relative abundance of viral OTUs differed mainly within the BCP/precore/core region and was significantly correlated with liver inflammation and fibrosis. For the IT phase classification, all machine-learning models showed higher AUC values compared to models based on HBsAg, APRI, and FIB-4. The relative abundance of viral OTUs reflects the severity of liver inflammation and fibrosis. The novel QS quantitative analysis approach could be used to diagnose IT patients more precisely and reduce the need for liver biopsy.

Elucidation of SIRT-1/PGC-1α-associated mitochondrial dysfunction and autophagy in nonalcoholic fatty liver disease

Background

Nonalcoholic fatty liver disease (NAFLD) can lead to chronic liver diseases associated with mitochondrial damages. However, the exact mechanisms involved in the etiology of the disease are not clear.

Methods

To gain new insights, the changes affecting sirtuin 1 (SIRT-1) during liver fat accumulation was investigated in a NAFLD mouse model. In addition, the in vitro research investigated the regulation operated by SIRT-1 on mitochondrial structures, biogenesis, functions, and autophagy.

Results

In mice NAFLD, high-fat-diet (HFD) increased body weight gain, upregulated serum total cholesterol, triglycerides, aspartate aminotransferase, alanine aminotransferase, blood glucose, insulin levels, and liver malondialdehyde, and decreased liver superoxide dismutase activity. In liver, the levels of SIRT-1 and peroxisome proliferator-activated receptor-gamma coactivator -1α (PGC-1α) decreased. The expression of peroxisome proliferator-activated receptor-α and Beclin-1 proteins was also reduced, while p62/SQSTM1 expression increased. These results demonstrated SIRT-1 impairment in mouse NAFLD. In a well-established NAFLD cell model, exposure of the HepG2 hepatocyte cell line to oleic acid (OA) for 48 h caused viability reduction, apoptosis, lipid accumulation, and reactive oxygen species production. Disturbance of SIRT-1 expression affected mitochondria. Pre-treatment with Tenovin-6, a SIRT-1 inhibitor, aggravated the effect of OA on hepG2, while this effect was reversed by CAY10602, a SIRT-1 activator. Further investigation demonstrated that SIRT-1 activity was involved in mitochondrial biogenesis through PGC-1α and participated to the balance of autophagy regulatory proteins.

Conclusion

In conclusion, in high-fat conditions, SIRT-1 regulates multiple cellular properties by influencing on mitochondrial physiology and lipid autophagy via the PGC-1α pathway. The SIRT-1/PGC-1α pathway could be targeted to develop new NAFLD therapeutic strategies.

Distinct alternations of brain functional network dynamics in obsessive-compulsive disorder and schizophrenia

Introduction

Obsessive-compulsive disorder (OCD) and schizophrenia (SZ) are both severe psychiatric disorders. Though these two disorders have distinct typical symptoms, there are partial polygenic overlap and comorbidity between the two disorders. However, few studies have explored the shared and disorder-specific brain function underlying the neural pathophysiology of the two disorders, especially in the aspect of dynamics.

Objectives

To explore the abnormal characteristics of the dynamic functional connectivity (dFC) in OCD and SZ as well as the association between dFC metrics and symptom severity.

Methods

The resting state functional magnetic resonance imaging data of 31 patients with OCD, 49 patients with SZ, and 45 healthy controls were analyzed using independent component analysis to obtain independent components (ICs) and assigned them into eight brain networks (Figure 1), then used the sliding-window approach to generate dFC matrices. Using k-means clustering, we obtained three reoccurring dFC states (Figure 2), and state transition metrics were obtained

Results

In a sparsely connected state (state 1), SZ showed both increased fractional time and mean dwell time than controls (P=0.047 and P=0.033) and OCD (P=0.001 and P=0.003). In a state characterized by negative FC between networks (state 2), OCD showed both increased fractional time and mean dwell time than controls (P=0.032 and P=0.013) and SZ (P=0.005 and P=0.003). Moreover, the fractional time of state 2 was positively correlated with anxiety scores in OCD (r=0.535, P=0.021, FDR corrected) (Figure 3).

Conclusions

OCD and SZ patients showed distinct alternations of brain functional dynamics.

Disclosure

No significant relationships.

Altered brain functional dynamics in auditory and visual networks in schizophrenia

Introduction

One of the most perplexing and characteristic symptoms of the schizophrenia (SZ) patients is hallucination. The occurrence of hallucinations to be associated with altered activity in the auditory and visual cortex but is not well understood from the brain functional network dynamics in SZ.

Objectives

To explore the brain abnormal basis of hallucinations in SZ with the dynamic functional connectivity (dFC).

Methods

Using magnetic resonance imaging for 83 SZ patients and 83 matched healthy controls and independent component analysis, 52 independent components (ICs) were identified as nodes and assigned into eight intrinsic connectivity networks (Figure 1A). Subsequently, we established dFC matrices and clustered them into four discrete states (Figure 1B) and three state transition metrics were obtained. To further explore the changes in the centrality of each component, eigenvector centrality (EC) was calculated and its time-varying was evaluated.

Results

Compared to controls with FDR correction, we found that patients had more mean dwell times and fractional time in state 1 (P=0.0081 and P=0.0018), mainly with hypoconnectivity between auditory and visual network and other networks and hyperconnectivity between language and default-mode network (DMN). While, patients had less dwell times and fractional time in state 3 (P=0.0018 and P=0.0009), and decreased FC between visual network and executive control network (ECN) and increased FC between ECN and DMN than controls (Figure 2).

EC statistics showed that SZs displayed increased temporal dynamics in visual-related regions (Figure 3).

Conclusions

SZ was mainly manifested as altered dFC and temporal variability of nodal centrality in auditory and visual networks.

Disclosure

No significant relationships.

Different alternations of static and dynamic brain regional topological metrics in schizophrenia and obsessive-compulsive disorder

Introduction

Though schizophrenia (SZ) and obsessive-compulsive disorder (OCD) are conceptualized as distinct clinical entities, they do have notable symptom overlap and a tight association. Graph-theoretical analysis of the brain connectome provides more indicators to describe the functional organization of the brain, which may help us understand the shared and disorder-specific neural basis of the two disorders.

Objectives

To explore the static and dynamic topological organization of OCD and SZ as well as the relationship between topological metrics and clinical variables.

Methods

Resting state functional magnetic resonance imaging data of 31 OCD patients, 49 SZ patients, and 45 healthy controls (HC) were involved in this study (Table 1). Using independent component analysis to obtain independent components (ICs) (Figure 1), which were defined as nodes for static and dynamic topological analysis.

Results

Static analysis showed the global efficiency of SZ was higher than HC. For nodal degree centrality, OCD exhibited decreased degree centrality in IC59 (located in visiual network) (P = 0.03) and increased degree centrality in IC38 (located in salience network) (P = 0.002) compared with HC. Dynamic analysis showed OCD exhibited decreased dynamics of degree centrality in IC38 (P = 0.003) compared with HC, which showed a negative correlation with clinical scores in OCD. While SZ showed decreased dynamics of degree centrality in IC76 (located in sensory motor network) compared with OCD (P=0.009), which showed a positive correlation with clinical scores in SZ (Figure 2).

Conclusions

These changes are suggestive of disorder-specific alternation of static and dynamic brain topological organization in OCD and SZ.

Congenital dyserythropoietic anemia and drug-induced liver injury present as bland cholestasis: A case report

Anemias and drug-induced liver injury(DILI) are separate disorders, which are difficult to diagnose. The clinical effects of DILI vary among individuals. However, the outcome determinants remain to be fully established. To the best of our knowledge, the role of anemia in DILI has yet to be reported. The present study reported on the case of one Chinese patient (male; age, 21 years) who experienced obvious drug-induced cholestasis. Of note, the hepatocyte injury was minimal compared with that in previously reported cases treated with the same drug. In addition, the patient suffered from mild hemolytic anemia with no obvious cause. A genetic pedigree analysis revealed compound heterozygous mutations in the congenital anemia-associated gene codanin 1, including the novel rare p.R1067H mutation. Treatment with ursodeoxycholic acid alone sufficed and the outcome was good. Therefore, whilst chronic hemolysis predisposed the liver to cholestasis, it could have shielded the liver from further injuries, since bilirubin, a by-product of hemolysis, is a known antioxidant. The results of the present study indicated that genetic screening may be used for the diagnosis of liver injury concurring with undiagnosed anemia.

[Fractalkine inhibits lipopolysaccharide-induced M1 polarization of macrophages by activating Wnt/β-catenin signaling pathway]

OBJECTIVE

To explore the mechanism by which fractalkine (CX3CL1; FKN) inhibits lipopolysaccharide (LPS)-induced immunological response in RAW264.7 cells.

METHODS

A RAW264.7 cell model overexpressing FKN was established by transfection with the lentiviral vector CX3CL1. The effects of LPS, ICG-001 (a Wnt/β-catenin signaling pathway inhibitor), either alone or in combination, on M1 polarization of na?ve and FKN-overexpressing RAW264.7 cells were evaluated by detecting of intereukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) using ELISA. The protein expressions of the inflammatory factors (iNOS, TNF-α, and IL-6), FKN, Wnt-4, and β-catenin were detected by Western blotting. The subcellular localization of IL-6 in the cells was detected by immunofluorescence assay.

RESULTS

The RAW264.7 cell model of FKN overexpression was successfully established. In na?ve RAW264.7 cells, treatment with both ICG-001 and LPS, as compared with LPS alone, significant promoted TNF-α and IL-6 secretions, increased intracellular levels of TNF-α, IL-6 and iNOS (P < 0.05), and reduced intracellular FKN, Wnt-4 and β-catenin levels (P < 0.01). In FKN-overexpressing RAW264.7 cells, LPS treatment significantly reduced the secretion of TNF-α and IL-6 and intracellular levels of TNF-α, IL-6 and iNOS (P < 0.01), increased intracellular FKN, Wnt-4 and β-catenin protein contents (P < 0.01), and inhibited IL-6 localization in the cytoplasm; compared with LPS, the combined treatment with ICG-001 and LPS obviously enhanced IL-6 localization in the cytoplasm of the cells.

CONCLUSIONS

FKN overexpression suppresses LPS-induced M1 type polarization of RAW264.7 cells by activating Wnt/β-catenin signaling pathway.

Fractalkine mediates lymphocyte inflammation and tubulointerstitial lesions by modifying the Treg/Th17 balance in lupus-prone MRL/lpr mice

In this study, we first analyzed the expression level of fractalkine (FKN) in the serum of patients with lupus nephritis (LN) and the distribution of peripheral blood Treg cells, and explored FKN and Treg cells, systemic lupus erythematosus disease activity index 2000 (SLEDAI-2K) correlation. Subsequently, we explored the specific role of FKN in tubule interstitial lesions (TILs) and regulatory T (Treg) cells/T helper (Th) 17 cell balance in lupus model mice. Treated with an anti-FKN antibody (aFKN), recombinant FKN (rFKN), or an isotype antibody (IgG) in MRL/MpJ-Faslpr/J and C57BL/6 mice, and then detected TIL level and forkhead box p3 (Foxp3), IL-10, IL-17 and IL-6 expression levels in the kidney and spleen in the proportion of Treg and Th17 cells. Finally, then use aFKN, rFKN, or IgG to intervene in polarized Tregs with IL-6, TGF-β, IL-23, anti-interferon, and Th17 cells with anti-IL-4 after transforming to transform growth factor (TGF)-β and interleukin (IL)-2 in isolated mouse spleen lymphocytes. The results showed that the expression level of FKN was positively correlated with SLEDAI-2K and negatively correlated with the distribution of Treg cells. After treatment with aFKN in lupus model mice, kidney damage was delayed, TIL formation was reduced, Foxp3 and IL-10 levels were up-regulated, IL-17 and IL-6 levels were down-regulated in renal tissues, Th17 cell subsets and Treg cell subsets were reduced The increase is in the spleen, and rFKN treatment has the opposite effect in mouse. In addition, after interfering with polarized cells by aFKN, it was found that IL-17 and IL-6 expression levels were down-regulated in Th17 cells, Foxp3 and IL-10 levels in Tregs were up-regulated, and rFKN treatment had the opposite effect in vitro. These results indicate that FKN participates in and promotes SLE target organ damage including: secretion of inflammatory factors and renal TIL, and most importantly, these effects might have been due to modification of the Treg/Th17 cell balance.

Research Note: The immune enhancement ability of inulin on ptfA gene DNA vaccine of avian Pasteurella multocida

To evaluate the ability of inulin to enhance the immune response of a ptfA gene DNA vaccine for avian Pasteurella multocida, inulin was added as an adjuvant to the ptfA-DNA vaccine, obtaining an inulin-adjuvant DNA vaccine. The DNA vaccine was administered to chickens; a fimbria protein vaccine and an attenuated live vaccine were used as positive controls. The levels of the serum antibody and concentrations of interferon-γ (IFN-γ), interleukin-2 (IL-2), and interleukin-4 (IL-4) were determined, and a lymphocyte proliferation assay was performed. After being challenged with virulent P. multocida, the protective efficacy was evaluated. The results showed that the serum antibodies induced by the ptfA-DNA vaccine were not enhanced by inulin. The stimulation index values and the concentrations of IL-2 and IFN-γ in chickens vaccinated with inulin-adjuvant DNA vaccine were significantly higher than those in chickens vaccinated with the DNA vaccine, those with the fimbria protein vaccine, and the chickens gavaged with inulin. The concentrations of IL-4 in the inulin-adjuvant DNA vaccine group and the fimbria protein vaccine group were higher than those in the DNA vaccine group and the inulin-gavage group. The protective efficacy rates of the attenuated live vaccine group, the fimbria protein vaccine group, the DNA vaccine group, the inulin-adjuvant DNA vaccine group, and the inulin-gavage group were 90, 70, 55, 65, and 55%, respectively.

Multivariate classification of earthquake survivors with post-traumatic stress disorder based on large-scale brain networks

OBJECTIVE

The identification of post-traumatic stress disorder (PTSD) among natural disaster survivors is remarkably challenging, and there are no reliable objective signatures that can be used to assist clinical diagnosis and optimize treatment. The current study aimed to establish a neurobiological signature of PTSD from the connectivity of large-scale brain networks and clarify the brain network mechanisms of PTSD.

METHODS

We examined fifty-seven unmedicated survivors with chronic PTSD and 59 matched trauma-exposed healthy controls (TEHCs) using resting-state functional magnetic resonance imaging (rs-fMRI). We extracted the node-to-network connectivity and obtained a feature vector with a dimensionality of 864 (108 nodes × 8 networks) to represent each subject's functional connectivity (FC) profile. Multivariate pattern analysis with a relevance vector machine was then used to distinguish PTSD patients from TEHCs.

RESULTS

We achieved a promising diagnostic accuracy of 89.2% in distinguishing PTSD patients from TEHCs. The most heavily weighted connections for PTSD classification were among the default mode network (DMN), visual network (VIS), somatomotor network, limbic network, and dorsal attention network (DAN). The strength of the anticorrelation of FC between the ventral medial prefrontal cortex (vMPFC) in DMN and the VIS and DAN was associated with the severity of PTSD.

CONCLUSIONS

This study achieved relatively high accuracy in classifying PTSD patients vs. TEHCs at the individual level. This performance demonstrates that rs-fMRI-derived multivariate classification based on large-scale brain networks can provide potential signatures both to facilitate clinical diagnosis and to clarify the underlying brain network mechanisms of PTSD caused by natural disasters.

Comparison of Naturally Occurring Resistance-Associated Substitutions Between 2008 and 2016 in Chinese Patients with Chronic Hepatitis C Virus Infection

Aims: The presence of pre-existing hepatitis C virus (HCV) resistance-associated substitutions (RASs) could attenuate viral susceptibility to direct-acting antiviral agents. The aim of this study was to better understand the differences among HCV RASs over time. We compared the prevalence and characteristics of naturally occurring HCV RASs in the NS3, NS5A, and NS5B genes between 2008 and 2016 in Chinese patients chronically infected with HCV genotypes (GT) 1b, 2a, 3a, 3b, and 6a. Methods: HCV RNA was extracted after serum samples were collected from 242 patients at treatment baseline, including 120 samples in 2008 and 122 samples in 2016. Reverse transcription and nested PCR were performed, and the PCR products of the NS3, NS5A, and NS5B regions were sequenced using the Sanger sequencing method. Finally, RASs were identified from the different viral strains. Results: In GT1b, the overall frequency of NS5A RASs in 2016 was significantly higher than that in 2008 (42.0% vs. 18.4%; p = 0.002). Among NS5A RASs, the most frequently detected RAS was Y93H (5.3% in 2008 vs. 15.9% in 2016; p = 0.035), which confers medium- to high-level resistance to the NS5A inhibitors: daclatasvir (DCV), ledipasvir (LDV), ombitasvir (OMV), and elbasvir. The frequency of NS5A L28 (low-level resistance to DCV/LDV/OMV) in 2016 was also higher than that in 2008 (11.6% vs. 1.3%; p = 0.027). In addition, the highest frequency of clinically relevant NS3 RASs was S122G/A/T (69.7% in 2008 and 72.5% in 2016) in HCV GT1b isolates, which had medium-level resistance to simeprevir and asunaprevir, followed by Y56F (7.9% in 2008 and 14.5% in 2016), which confers resistance to paritaprevir. Although NS5B C316N had the highest substitution rate in GT1b (80.2% in 2008 and 91.3% in 2016), it was associated with low-level resistance to sofosbuvir and dasabuvir. However, HCV RASs were rarely detectable at baseline in other genotypes or subtypes except GT1b in this study. Conclusion: The frequency of NS5A RASs in 2016 was significantly higher than that in 2008, especially at the L28 and Y93 substitution positions, which may be due to their better fitness compared with wild-type viruses.