Background: The fertility desire of people living with HIV (PLHIV) has been rising in the past decade. However, there are many studies among which the association remains controversial between the fertility desire of HIV-infected persons and antiretroviral therapy (ART), sex, marital status, and educational level. Methods: We performed a literature search of these meta-analyses in PubMed, the Cochrane Library, Web of Science and ScienceDirect in November 2019. We also reviewed references of eligible studies to complement the search. We used pooled odds ratios (ORs) and 95% confidence intervals (CIs) with a random-effects model and a fixed-effects model to estimate the association between fertility desire among PLHIV and ART, sex, age, marital status, educational level, and number of children. Subgroups with I square values (I²) and sensitivity analyses were performed to assess the heterogeneity and the stability of the overall ORs, respectively. We evaluated publication bias using Egger’s test and a visual inspection of the symmetry in funnel plots. Results: In these meta-analyses 50 articles were included with 22,367 subjects. The pooled prevalence of fertility desire among PLHIV was estimated to be 42.04%. The pooled analyses showed that the fertility desire of PLHIV is associated with ART (OR = 1.11, 95% CI:1.00–1.23, P = 0.043), sex (OR = 1.51, 95% CI:1.10–2.09), age (OR = 2.65, 95% CI:2.24–3.14), marital status (OR = 1.34, 95% CI:1.08–1.66), educational level (OR = 0.85, 95% CI:0.73–1.00, P = 0.047) and the number of children (OR = 3.99, 95% CI:3.06–5.20). PLHIV who are on ART, are male, are younger than 30, are married/cohabiting, have received a secondary education or above, and are childless have a higher prevalence of fertility desire. The two factors of age and the number of children, in particular demonstrated a strong significant association with fertility desire. We found moderate heterogeneity in the meta-analyses of age and educational level and high heterogeneity in the meta-analyses of sex, marital status and number of children. Publication bias was detected in the meta-analyses of the association of fertility with sex and educational level. Conclusion: This study demonstrates that the prevalence of fertility desire among HIV-infected people is 42.04%, and the fertility desire among PLHIV is associated with ART experience, sex, age, marital status, the number of children, and educational level. Since a majority of PLHIV are of reproductive age, it is necessary to support PLHIV in terms of their needs regarding reproductive decision-making. Through counseling and reproductive health care, further measures to prevent the horizontal and vertical transmission of HIV should be taken.

Pro-inflammatory cytokines are considered to play a major role in osteoarthritis (OA), yet so far, the specific cytokines involved in the pathology of OA have not been identified. Oncostatin M (OSM) is a cytokine from the interleukin 6 (IL-6) family that has been shown to be elevated in synovial fluid of most rheumatoid arthritis (RA) patients, but only in a limited subset of OA patients. Little is known about OSM in the different joint tissues during OA and how its expression correlates with hallmarks of disease. Here, we mapped OSM expression in the joint tissues of two rat models of arthritis: an acute inflammatory model and an instability-induced osteoarthritic model. OSM expression was correlated with hallmarks of OA, namely cartilage damage, synovitis, and osteophyte formation. Reanalysis of an existing dataset on cytokine profiling of OA synovial fluid was performed to assess pattern differences between patients positive and negative for OSM. In the inflammatory model, OSM expression correlated with synovitis and osteophyte formation but not with cartilage damage. On the contrary, in the instability model of OA, an increase in synovitis, cartilage damage, and osteophyte formation was observed without changes in OSM expression. In line with these findings, synovial fluid of OA patients with detectable OSM contained higher levels of other inflammatory cytokines, namely interferon gamma (IFN-γ), IL-1α and tumor necrosis factor alpha (TNF-α), likely indicating a more inflammatory state. Taken together these data indicate OSM might play a prominent role in inflammatory phenotypes of OA.

Induced mesenchymal stromal cells (iMSCs) derived from human pluripotent stem cells (PSCs) are attractive cells for regenerative medicine. However, the transcriptome of iMSCs and signature genes that can distinguish MSCs from fibroblasts and other cell types are rarely explored. In this study, we reported an optimized feeder-free method for the generation of iMSCs from human pluripotent stem cells. These iMSCs display a typical MSC morphology, express classic MSC markers (CD29, CD44, CD73, CD90, CD105, CD166), are negative for lymphocyte markers (CD11b, CD14, CD31, CD34, CD45, HLA-DR), and are potent for osteogenic and chondrogenic differentiation. Using genome-wide transcriptome profiling, we created an easily accessible transcriptome reference for the process of differentiating PSCs into iMSCs. The iMSC transcriptome reference revealed clear patterns in the silencing of pluripotency genes, activation of lineage commitment genes, and activation of mesenchymal genes during iMSC generation. All previously known positive and negative markers for MSCs were confirmed by our iMSC transcriptomic reference, and most importantly, gene classification and time course analysis identified 52 genes including FN1, TGFB1, TAGLN and SERPINE1, which showed significantly higher expression in MSCs (over 3 folds) than fibroblasts and other cell types. Taken together, these results provide a useful method and important resources for developing and understanding iMSCs in regenerative medicine.

Intervertebral disc (IVD) degeneration is suggested as a major cause of chronic low back pain (LBP). Intradiscal delivery of growth factors has been proposed as a promising strategy for IVD repair and regeneration. Previously, BMP-4 was shown to be more potent in promoting extracellular matrix (ECM) production than other BMPs and TGF-β in human nucleus pulposus (NP) cells, suggesting its applicability for disc regeneration. The effects of BMP-4 on ECM deposition and cell proliferation were assessed in sheep NP and annulus fibrosus (AF) cells in a pellet culture model. Further, a nuclectomy induced sheep lumbar IVD degeneration model was used to evaluate the safety and effects of intradiscal BMP-4 injection on IVD regeneration. Outcomes were assessed by magnetic resonance imaging, micro-computed tomography, histological and biochemical measurements. In vitro, BMP-4 significantly increased the production of proteoglycan and deposition of collagen type II and proliferation of NP and AF cells. Collagen type I deposition was not affected in NP cells, while in AF cells it was high at low BMP-4 concentrations, and decreased with increasing concentration of BMP-4. Intradiscal injection of BMP-4 induced extradiscal new bone formation and Schmorl's node-like changes in vivo. No regeneration in the NP nor AF was observed. Our study demonstrated that although BMP-4 showed promising regenerative effects in vitro, similar effects were not observed in a large IVD degeneration animal model. The contradictory results of using BMP-4 on IVD regeneration between in vitro and in vivo demonstrate that direct BMP-4 injection for disc degeneration-associated human chronic low back pain should not be undertaken. In addition, our results may also shed light on the mechanisms behind pathological endplate changes in human patients as a possible target for therapy.

In this study, the authors first propose a sequence with the impulse‐like autocorrelation property named zero autocorrelation code (ZAC) for orthogonal frequency division multiplexing (OFDM) based on offset quadrature amplitude modulation (OQAM) systems. The ZAC sequence can be generated by many prototype filters such as physical layer for dynamic spectrum access and cognitive radio and isotropic orthogonal transform algorithm filters. Thus, it has a wide application range. The authors then propose a synchronisation algorithm based on the ZAC. The proposed algorithm only needs two symbols to compose the preamble while existing algorithms need at least four symbols. They further assess the synchronisation performances via computer simulation. The simulation results show that the proposed algorithm can achieve better performance in terms of root mean square error of the timing and frequency offset estimation, with a 10 dB improvement on timing offset estimation performance over Saeedi‐Sourck's algorithm when signal‐to‐noise ratio is 0 dB.