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Beckett sharp again as Red Sox top Phillies

Associated Press Sports

updated 4:54 p.m. ET May 20, 2012

PHILADELPHIA (AP) - If he keeps this up, Josh Beckett won't have to worry about hearing boos anymore.

Beckett pitched 7 2-3 strong innings and Jarrod Saltalamacchia hit a three-run homer to lead the Boston Red Sox to a 5-1 win over the Philadelphia Phillies on Sunday.

Mike Aviles also homered and drove in two runs for Boston, which has won eight of 10 games overall after taking the final two of this three-game series.

Beckett (4-4) was booed off the mound May 10 when he allowed seven runs in 2 1-3 innings following news that he had played golf while skipping a start to rest a strained lat muscle - but he has been spectacular since.

After shutting out Seattle in a home win on May 15 by pitching seven scoreless innings and giving up four hits with nine strikeouts and two walks, Beckett allowed one run on seven hits Sunday while striking out five and walking two.

"I was making pitches when I needed to and the defense was unbelievable, everybody contributed," Beckett said. "I was keeping the ball down and I threw a few changeups, or I got ground balls. It's nice to keep the ball in this ballpark."

His only blemish was Juan Pierre's sacrifice fly in the eighth that gave Philadelphia its only run.

"His stuff was really moving today," Boston manager Bobby Valentine said of Beckett. "He was aggressive in the strike zone and he looked like he wanted it."

Adrian Gonzalez went 2 for 4 and now is 9 for 16 lifetime against Phillies lefty Cliff Lee.

Lee (0-2), making just his sixth start of the season after spending time on the DL with a strained oblique, had his worst start of the year. In seven innings, he allowed five runs on nine hits - both season highs. He struck out six and walked one.

"They've got a good offense," Lee said. "They make you throw a lot of pitches. They foul off good pitches until they get one to hit. It's definitely the sign of a good offense, which they are."

The three-time All-Star and 2008 AL Cy Young winner has been pitching well this season, entering with a 1.95 ERA, but has not been getting run support some of the time or bullpen support other times.

The Phillies' offense didn't help Lee, once again, but this time the left-hander wasn't able to keep Philadelphia close.

"Tonight it was definitely my fault," he said. "I've gotta do a better job of that. I gotta get deeper in the game without giving up so many runs. This one falls on me."

Aviles led off with a homer for the second straight game, ripping Lee's 1-1 cutter into the seats in left.

"I just try to put the ball in play, try to hit the ball up the middle and whatever happens, happens," Aviles said. "I'm just trying to get on base."

After Aviles' RBI single in the second gave the Red Sox a 2-0 lead, Boston went ahead 5-0 in the third inning on Saltalamacchia's three-run homer that cleared the seats in center field and reached Ashburn Alley, the fan walkway behind the outfield seats. Lee said the pitch was a mistake.

"I threw a changeup up out over the plate," he said. "Other than that, I felt like they battled. They fouled off a lot of good pitches, made me work a lot early. They got themselves a nice lead and never really lost it."

Lee settled down after that, retiring the next 11 batters before Beckett's single off the wall in center to lead off the seventh. But the damage had been done.

"I was hoping once (Lee) settled in he started pitching pretty good we could score some runs for him, but we couldn't do it," Phillies manager Charlie Manuel said. "We hit some balls hard early but we couldn't get any big hits and drive runs in."

Beckett was in total command against a Phillies lineup that had 15 hits the previous night. Other than the third inning, the right-hander allowed just two runners to reach second base prior to the eighth.

"He kept the ball down good," Manuel said. "He hung in there, kept his pitch count down and (it) allowed him to go deep."

The Phillies threatened in the third, putting runners on second and third with one out after Lee doubled, but Jimmy Rollins grounded out to third and Pierre lined out sharply to first to keep Philadelphia scoreless.

Philadelphia scored its run in the eighth on Pierre's sacrifice fly to left that scored pinch-hitter Pete Orr, who doubled. Valentine lifted Beckett after the right-hander walked Shane Victorino to put runners on first and second. And the bases were loaded when reliever Vicente Padilla walked Hunter Pence. But Padilla got Ty Wigginton to ground out to second to escape the jam.

"That's a situation you want to be in and Padilla did a good job," Wigginton said.

The Phillies were 1 for 9 with runners in scoring position Sunday, and now are 3 for 21 in their last two games.

Notes: A day after making a sensational catch in center field, Boston's Ryan Sweeney didn't play. Valentine said he would be evaluated further on Monday, mentioning a possible concussion. . Phillies GM Ruben Amaro defended the club's use of a cortisone shot last Sept. 18 on Ryan Howard's injured left foot. The reaction was in response to a Philadelphia Inquirer story Sunday suggesting that the cortisone shot may have contributed to Howard's Achilles' tear last Oct. 7. ... Boston OF Cody Ross didn't play for the second straight game after fouling a ball off his left leg on Friday. ... The crowd of 45,586 was the 225th straight sellout and 241st counting postseason play. ... Philadelphia RHP Kyle Kendrick (0-3, 5.96), filling in for injured right-hander Vance Worley (elbow), is scheduled to face Washington left-hander Gio Gonzalez (5-1, 2.22) on Monday night when the Phillies host the first of a three-game series. ... Boston RHP Clay Buchholz (4-2, 7.77) opposes Orioles RHP Tommy Hunter (2-2, 4.78) when the Red Sox travel to AL East-leading Baltimore on Monday.

? 2012 The Associated Press. All rights reserved. This material may not be published, broadcast, rewritten or redistributed.

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Physical properties predict stem cell outcome

ScienceDaily (May 21, 2012) ? Tissue engineers can use mesenchymal stem cells derived from fat to make cartilage, bone, or more fat. The best cells to use are ones that are already likely to become the desired tissue. Brown University researchers have discovered that the mechanical properties of the stem cells can foretell what they will become, leading to a potential method of concentrating them for use in healing.

To become better healers, tissue engineers need a timely and reliable way to obtain enough raw materials: cells that either already are or can become the tissue they need to build. In a new study, Brown University biomedical engineers show that the stiffness, viscosity, and other mechanical properties of adult stem cells derived from fat, such as liposuction waste, can predict whether they will turn into bone, cartilage, or fat.

That insight could lead to a filter capable of extracting the needed cells from a larger and more diverse tissue sample, said Eric Darling, senior author of the paper published in Proceedings of the National Academy of Sciences. Imagine a surgeon using such a filter to first extract fat from a patient with a bone injury and then to inject a high concentration of bone-making stem cells into the wound site during the same operation.

If mechanical properties of stem cells -- viscosity, stiffness, size -- predict what they will become, the next step is to develop a high-throughput testing and sorting device.In the paper, the researchers report that the stiffest adipose-derived mesenchymal stem cells tended to become bone, the ones that were biggest and softest tended to become fat, and those that were particularly viscous were most likely to end up as cartilage.

"The results are exciting because not only do the mechanical properties indicate what lineage these cells could potentially go along but also the extent of their differentiation," said Darling, assistant professor of medical science in the Department of Molecular Pharmacology, Physiology. and Biotechnology and the University's Center for Biomedical Engineering. "It tells us how good they are going to be if we differentiated them for a given tissue type."

So when tissue engineers go looking through extracted fat for cells to create bone, for instance, they can sort through the cells looking for ones with a certain level of stiffness or greater. Whether the cells are "undifferentiated" stem cells that have made no move toward becoming a specific cell type, or ones that are already bone cells, only the ones with the requisite stiffness would make the cut. That process would yield a higher population of cells for making new bone tissue.

"Can we enrich the cell populations for cells that we want to use, whether they are totally undifferentiated cell types, partially differentiated, or completely differentiated?" Darling said. "It doesn't matter as long as it's targeted for the specific tissue application."

Darling's study, led by research assistants Rafael Gonzaelz-Cruz and Vera Fonseca, involved cloning adipose-derived adult human stem cells into 32 stem cell populations. They then poked, prodded, and measured the cells with an atomic force microscope, gaining measurements of how big they were, how sturdy they were under pressure, and how the force between them and the scope's cantilevered probe changed over time. The team found the cells exhibited a wide range of stiffness, viscosity and size.

Once they had the measurements, the researchers chemically induced the cells to differentiate and analyzed the levels of key metabolites produced by the cells as they matured a few weeks later. For each population, the metabolites indicated the relative proportion that differentiated into one tissue or another. Population 28, for example, apparently responded productively to chemical cues for producing cartilage, only somewhat well for producing bone and poorly to cues for making fat.

The key moment was when the researchers correlated each cell population's mechanical measurements with its metabolite data. Did the mechanical properties predict which populations would be the most successful in turning into bone cells or cartilage cells or fat cells? Sure enough, they did. The stiffest cell populations produced more bone. The squishiest cells were the ones that produced the most fat. The ones with the highest viscosity were the ones seemingly headed toward becoming cartilage.

Darling and his team then conducted a sorting simulation to determine whether filtering a sample by different mechanical characteristics could result in extracting a higher concentration of useful cells from tissue. They found that while yields using current methods of looking for molecular biomarkers are less than 1 percent, yields based on mechanical properties could increase to 3 percent for bone-making cells, 6 percent for cartilage, and 9 percent for fat.

Encouraged by the results, which he acknowledges are basic, Darling's group is already working toward a more practical realization of the discovery. After all, surgeons aren't going to bring atomic force microscopes into the operating room; those devices work too slowly to identify enough cells in a reasonable time.

"To actually apply this, we need some sort of high-throughput mechanical testing device," he said. "That is where the next stage is. That's something that my lab is working on right now."

So the idea is taking shape, like a stem cell striving to become fat, bone, or cartilage.

The National Institute of Arthritis and Musculoskeletal and Skin Diseases and the National Institute of General Medical Sciences funded the work.

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The above story is reprinted from materials provided by Brown University.

Note: Materials may be edited for content and length. For further information, please contact the source cited above.

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Journal Reference:

1. Rafael D. Gonz?lez-Cruz, Vera C. Fonseca, and Eric M. Darling. Cellular mechanical properties reflect the differentiation potential of adipose-derived mesenchymal stem cells. Proceedings of the National Academy of Sciences, May 21, 2012 DOI: 10.1073/pnas.1120349109

Note: If no author is given, the source is cited instead.

Disclaimer: This article is not intended to provide medical advice, diagnosis or treatment. Views expressed here do not necessarily reflect those of ScienceDaily or its staff.

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